commit 16d4d572a9eaf04ce9af1905b3c8b5ea444f5d0f Author: ModelHub XC Date: Tue May 5 20:28:46 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: ajibawa-2023/Code-290k-6.7B-Instruct Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..0996bf9 --- /dev/null +++ b/README.md @@ -0,0 +1,179 @@ +--- +language: +- en +license: other +tags: +- code +datasets: +- ajibawa-2023/Code-290k-ShareGPT +model-index: +- name: Code-290k-6.7B-Instruct + results: + - task: + type: text-generation + name: Text Generation + dataset: + name: AI2 Reasoning Challenge (25-Shot) + type: ai2_arc + config: ARC-Challenge + split: test + args: + num_few_shot: 25 + metrics: + - type: acc_norm + value: 34.9 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: HellaSwag (10-Shot) + type: hellaswag + split: validation + args: + num_few_shot: 10 + metrics: + - type: acc_norm + value: 51.99 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: MMLU (5-Shot) + type: cais/mmlu + config: all + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 34.89 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: TruthfulQA (0-shot) + type: truthful_qa + config: multiple_choice + split: validation + args: + num_few_shot: 0 + metrics: + - type: mc2 + value: 41.95 + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: Winogrande (5-shot) + type: winogrande + config: winogrande_xl + split: validation + args: + num_few_shot: 5 + metrics: + - type: acc + value: 52.64 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: GSM8k (5-shot) + type: gsm8k + config: main + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 3.49 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=ajibawa-2023/Code-290k-6.7B-Instruct + name: Open LLM Leaderboard +--- + +**Code-290k-6.7B-Instruct** + +This model is trained on [DeepSeek-Coder-6.7B-Instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct). I have used my existing dataset [Code-290k-ShareGPT](https://huggingface.co/datasets/ajibawa-2023/Code-290k-ShareGPT) for training purpose. +It is trained on around 290000 set of codes. Along with Python, Java, JavaScript, GO, C++, Rust, Ruby, Sql, MySql, R, Julia, Haskell, etc. code with detailed explanation is used for training purpose. +This model utilises Alpaca format. Besides code generation it will also give you explanation. + +**Training:** + +Entire dataset was trained on 4 x A100 80GB. For 3 epoch, training took 85 hours. DeepSeek-Coder codebase and DeepSpeed was used for training purpose. + +This is a full fine tuned model. + +Links for quantized models are given below. + +**Exllama** + +Exllama v2:[Link](https://huggingface.co/bartowski/Code-290k-6.7B-Instruct-exl2) + +Extremely thankful to [Bartowski](https://huggingface.co/bartowski) for making Quantized version of the model. + + +**Example Prompt**: + +``` +This is a conversation with your helpful AI assistant. AI assistant can generate Code in various Programming Languages along with necessary explanation. + +### Instruction: +{instruction} + +### Response: +``` +You can modify above Prompt as per your requirement. I have used Alpaca format. + +I want to say special Thanks to the Open Source community for helping & guiding me to better understand the AI/Model development. + +Thank you for your love & support. + +**Examples** + +1. **Bayes Theorem - Python** + + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/J8uqoT_LYhPW2VpnE1K-8.png) + +2. **Fermat's little theorem** + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/H0sc9jk7ypv_N5V7LSANl.png) + +3. **The Arrhenius equation using R** + +![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aea8ff67511bd3d965697b/BQ8PZhYhoZ9wpVMPXJPnQ.png) + + +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_ajibawa-2023__Code-290k-6.7B-Instruct) + +| Metric |Value| +|---------------------------------|----:| +|Avg. |36.64| +|AI2 Reasoning Challenge (25-Shot)|34.90| +|HellaSwag (10-Shot) |51.99| +|MMLU (5-Shot) |34.89| +|TruthfulQA (0-shot) |41.95| +|Winogrande (5-shot) |52.64| +|GSM8k (5-shot) | 3.49| + diff --git a/config.json b/config.json new file mode 100644 index 0000000..c1ada44 --- /dev/null +++ b/config.json @@ -0,0 +1,31 @@ +{ + "_name_or_path": "/home/mla100wus/Downloads/deepseek-coder-6.7b-instruct/", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 32013, + "eos_token_id": 32021, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 16384, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pretraining_tp": 1, + "rms_norm_eps": 1e-06, + "rope_scaling": { + "factor": 4.0, + "type": "linear" + }, + "rope_theta": 100000, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.37.2", + "use_cache": true, + "vocab_size": 32256 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..d27b1d3 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,6 @@ +{ + "_from_model_config": true, + "bos_token_id": 32013, + "eos_token_id": 32021, + "transformers_version": "4.37.2" +} diff --git a/model-00001-of-00003.safetensors b/model-00001-of-00003.safetensors new file mode 100644 index 0000000..46a5fda --- /dev/null +++ b/model-00001-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d35449371def57d1d790a24a24c2e92761e433d832f563f5c003a09a413dd726 +size 4941082504 diff --git a/model-00002-of-00003.safetensors b/model-00002-of-00003.safetensors new file mode 100644 index 0000000..ee3ec0f --- /dev/null +++ b/model-00002-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:81ebe2aad613fb1c66b1589647894a3e26e201aa7cb7d0186a1e91611cc20be5 +size 4947390880 diff --git a/model-00003-of-00003.safetensors b/model-00003-of-00003.safetensors new file mode 100644 index 0000000..5772fc9 --- /dev/null +++ b/model-00003-of-00003.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:097210fca751f95d8a67b255532ce6761eab9f34face84b7a0903dff1db43bd0 +size 3592585968 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..53d0670 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,298 @@ +{ + "metadata": { + "total_size": 13481025536 + }, + "weight_map": { + "lm_head.weight": "model-00003-of-00003.safetensors", + "model.embed_tokens.weight": "model-00001-of-00003.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.11.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.12.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.20.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.input_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00002-of-00003.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00002-of-00003.safetensors", + "model.layers.24.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.28.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.28.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.28.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.29.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.29.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.29.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.30.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.30.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.30.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.30.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.input_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.31.mlp.down_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.mlp.gate_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.mlp.up_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.post_attention_layernorm.weight": "model-00003-of-00003.safetensors", + "model.layers.31.self_attn.k_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.self_attn.o_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.self_attn.q_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.31.self_attn.v_proj.weight": "model-00003-of-00003.safetensors", + "model.layers.4.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.input_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00001-of-00003.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00001-of-00003.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00001-of-00003.safetensors", + "model.norm.weight": "model-00003-of-00003.safetensors" + } +} diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..f0a1356 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,23 @@ +{ + "bos_token": { + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|EOT|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..3ca1807 --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,64086 @@ +{ + "version": "1.0", + "truncation": null, + "padding": null, + "added_tokens": [ + { + "id": 32000, + "content": "õ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32001, + "content": "÷", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32002, + "content": "Á", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32003, + "content": "ý", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32004, + "content": "À", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32005, + "content": "ÿ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32006, + "content": "ø", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32007, + "content": "ú", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32008, + "content": "þ", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32009, + "content": "ü", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32010, + "content": "ù", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32011, + "content": "ö", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32012, + "content": "û", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32013, + "content": "<｜begin▁of▁sentence｜>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": true + }, + { + "id": 32014, + "content": "<｜end▁of▁sentence｜>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": true + }, + { + "id": 32015, + "content": "<｜fim▁hole｜>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32016, + "content": "<｜fim▁begin｜>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32017, + "content": "<｜fim▁end｜>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32018, + "content": "", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32019, + "content": "<|User|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32020, + "content": "<|Assistant|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": false + }, + { + "id": 32021, + "content": "<|EOT|>", + "single_word": false, + "lstrip": false, + "rstrip": false, + "normalized": true, + "special": true + } + ], + "normalizer": { + "type": "Sequence", + "normalizers": [] + }, + "pre_tokenizer": { + "type": "Sequence", + "pretokenizers": [ + { + "type": "Split", + "pattern": { + "Regex": "[\r\n]" + }, + "behavior": "Isolated", + "invert": false + }, + { + "type": "Split", + "pattern": { + "Regex": "\\s?\\p{L}+" + }, + "behavior": "Isolated", + "invert": false + }, + { + "type": "Split", + "pattern": { + "Regex": "\\s?\\p{P}+" + }, + "behavior": "Isolated", + "invert": false + }, + { + "type": "Split", + "pattern": { + "Regex": "[一-龥ࠀ-一가-퟿]+" + }, + "behavior": "Isolated", + "invert": false + }, + { + "type": "Digits", + "individual_digits": true + }, + { + "type": "ByteLevel", + "add_prefix_space": false, + "trim_offsets": true, + "use_regex": false + } + ] + }, + "post_processor": { + "type": "TemplateProcessing", + "single": [ + { + "SpecialToken": { + "id": "<｜begin▁of▁sentence｜>", + "type_id": 0 + } + }, + { + "Sequence": { + "id": "A", + "type_id": 0 + } + } + ], + "pair": [ + { + "SpecialToken": { + "id": "<｜begin▁of▁sentence｜>", + "type_id": 0 + } + }, + { + "Sequence": { + "id": "A", + "type_id": 0 + } + }, + { + "SpecialToken": { + "id": "<｜begin▁of▁sentence｜>", + "type_id": 1 + } + }, + { + "Sequence": { + "id": "B", + "type_id": 1 + } + } + ], + "special_tokens": { + "<｜begin▁of▁sentence｜>": { + "id": "<｜begin▁of▁sentence｜>", + "ids": [ + 32013 + ], + "tokens": [ + "<｜begin▁of▁sentence｜>" + ] + } + } + }, + "decoder": { + "type": "ByteLevel", + "add_prefix_space": true, + "trim_offsets": true, + "use_regex": true + }, + "model": { + "type": "BPE", + "dropout": null, + "unk_token": null, + "continuing_subword_prefix": null, + "end_of_word_suffix": null, + "fuse_unk": false, + "byte_fallback": false, + "vocab": { + "!": 0, + "\"": 1, + "#": 2, + "$": 3, + "%": 4, + "&": 5, + "'": 6, + "(": 7, + ")": 8, + "*": 9, + "+": 10, + ",": 11, + "-": 12, + ".": 13, + "/": 14, + "0": 15, + "1": 16, + "2": 17, + "3": 18, + "4": 19, + "5": 20, + "6": 21, + "7": 22, + "8": 23, + "9": 24, + ":": 25, + ";": 26, + "<": 27, + "=": 28, + ">": 29, + "?": 30, + "@": 31, + "A": 32, + "B": 33, + "C": 34, + "D": 35, + "E": 36, + "F": 37, + "G": 38, + "H": 39, + "I": 40, + "J": 41, + "K": 42, + "L": 43, + "M": 44, + "N": 45, + "O": 46, + "P": 47, + "Q": 48, + "R": 49, + "S": 50, + "T": 51, + "U": 52, + "V": 53, + "W": 54, + "X": 55, + "Y": 56, + "Z": 57, + "[": 58, + "\\": 59, + "]": 60, + "^": 61, + "_": 62, + "`": 63, + "a": 64, + "b": 65, + "c": 66, + "d": 67, + "e": 68, + "f": 69, + "g": 70, + "h": 71, + "i": 72, + "j": 73, + "k": 74, + "l": 75, + "m": 76, + "n": 77, + "o": 78, + "p": 79, + "q": 80, + "r": 81, + "s": 82, + "t": 83, + "u": 84, + "v": 85, + "w": 86, + "x": 87, + "y": 88, + "z": 89, + "{": 90, + "|": 91, + "}": 92, + "~": 93, + "¡": 94, + "¢": 95, + "£": 96, + "¤": 97, + "¥": 98, + "¦": 99, + "§": 100, + "¨": 101, + "©": 102, + "ª": 103, + "«": 104, + "¬": 105, + "®": 106, + "¯": 107, + "°": 108, + "±": 109, + "²": 110, + "³": 111, + "´": 112, + "µ": 113, + "¶": 114, + "·": 115, + "¸": 116, + "¹": 117, + "º": 118, + "»": 119, + "¼": 120, + "½": 121, + "¾": 122, + "¿": 123, + "Â": 124, + "Ã": 125, + "Ä": 126, + "Å": 127, + "Æ": 128, + "Ç": 129, + "È": 130, + "É": 131, + "Ê": 132, + "Ë": 133, + "Ì": 134, + "Í": 135, + "Î": 136, + "Ï": 137, + "Ð": 138, + "Ñ": 139, + "Ò": 140, + "Ó": 141, + "Ô": 142, + "Õ": 143, + "Ö": 144, + "×": 145, + "Ø": 146, + "Ù": 147, + "Ú": 148, + "Û": 149, + "Ü": 150, + "Ý": 151, + "Þ": 152, + "ß": 153, + "à": 154, + "á": 155, + "â": 156, + "ã": 157, + "ä": 158, + "å": 159, + "æ": 160, + "ç": 161, + "è": 162, + "é": 163, + "ê": 164, + "ë": 165, + "ì": 166, + "í": 167, + "î": 168, + "ï": 169, + "ð": 170, + "ñ": 171, + "ò": 172, + "ó": 173, + "ô": 174, + "Ā": 175, + "ā": 176, + "Ă": 177, + "ă": 178, + "Ą": 179, + "ą": 180, + "Ć": 181, + "ć": 182, + "Ĉ": 183, + "ĉ": 184, + "Ċ": 185, + "ċ": 186, + "Č": 187, + "č": 188, + "Ď": 189, + "ď": 190, + "Đ": 191, + "đ": 192, + "Ē": 193, + "ē": 194, + "Ĕ": 195, + "ĕ": 196, + "Ė": 197, + "ė": 198, + "Ę": 199, + "ę": 200, + "Ě": 201, + "ě": 202, + "Ĝ": 203, + "ĝ": 204, + "Ğ": 205, + "ğ": 206, + "Ġ": 207, + "ġ": 208, + "Ģ": 209, + "ģ": 210, + "Ĥ": 211, + "ĥ": 212, + "Ħ": 213, + "ħ": 214, + "Ĩ": 215, + "ĩ": 216, + "Ī": 217, + "ī": 218, + "Ĭ": 219, + "ĭ": 220, + "Į": 221, + "į": 222, + "İ": 223, + "ı": 224, + "IJ": 225, + "ij": 226, + "Ĵ": 227, + "ĵ": 228, + "Ķ": 229, + "ķ": 230, + "ĸ": 231, + "Ĺ": 232, + "ĺ": 233, + "Ļ": 234, + "ļ": 235, + "Ľ": 236, + "ľ": 237, + "Ŀ": 238, + "ŀ": 239, + "Ł": 240, + "ł": 241, + "Ń": 242, + "ĠĠ": 243, + "Ġt": 244, + "Ġa": 245, + "in": 246, + "he": 247, + "re": 248, + "on": 249, + "er": 250, + "ĠĠĠĠ": 251, + "Ġs": 252, + "at": 253, + "Ġthe": 254, + "en": 255, + "or": 256, + "es": 257, + "Ġc": 258, + "Ġw": 259, + "it": 260, + "an": 261, + "is": 262, + "Ġd": 263, + "ou": 264, + "Ġp": 265, + "al": 266, + "Ġf": 267, + "ar": 268, + "Ġo": 269, + "Ġb": 270, + "ed": 271, + "ing": 272, + "Ġm": 273, + "Ġan": 274, + "le": 275, + "Ġto": 276, + "ion": 277, + "ic": 278, + "Ġin": 279, + "Ġof": 280, + "as": 281, + "el": 282, + "om": 283, + "Ġl": 284, + "Ġand": 285, + "Ġh": 286, + "ĠÐ": 287, + "Ġth": 288, + "ent": 289, + "et": 290, + "Ġn": 291, + "st": 292, + "а": 293, + "ĠĠĠĠĠĠĠĠ": 294, + "ro": 295, + "ct": 296, + "il": 297, + "ä¸": 298, + "Ġre": 299, + "Ġe": 300, + "ot": 301, + "am": 302, + "ĠI": 303, + "id": 304, + "ac": 305, + "Ġg": 306, + "ad": 307, + "im": 308, + "un": 309, + "и": 310, + "ig": 311, + "ve": 312, + "ol": 313, + "Ġde": 314, + "ĠĠĠ": 315, + "ut": 316, + "Ġis": 317, + "е": 318, + "us": 319, + "Ġy": 320, + "о": 321, + "ow": 322, + "ĠT": 323, + "ĠS": 324, + "ÑĤ": 325, + "ly": 326, + "Ġfor": 327, + "qu": 328, + "ver": 329, + "Ġbe": 330, + "Ġon": 331, + "ur": 332, + "ay": 333, + "Ġ(": 334, + "ation": 335, + "çļ": 336, + "çļĦ": 337, + "ĠA": 338, + "ĠC": 339, + "Ġyou": 340, + "ul": 341, + "ÑĢ": 342, + "ãĢ": 343, + "Ġthat": 344, + "н": 345, + "se": 346, + "ce": 347, + "ir": 348, + "ith": 349, + "âĢ": 350, + "if": 351, + "Ġst": 352, + "Ġv": 353, + "äº": 354, + "od": 355, + "ab": 356, + "Ġ\\": 357, + "ch": 358, + "Ġit": 359, + "Ġal": 360, + "ag": 361, + "Ġhe": 362, + "ĠM": 363, + "Ġcon": 364, + "Ġwith": 365, + "ter": 366, + "Ñģ": 367, + "ri": 368, + "em": 369, + "est": 370, + "Ġ$": 371, + "Ġas": 372, + "ap": 373, + "--": 374, + "ĠP": 375, + "Ġwh": 376, + "um": 377, + "os": 378, + "res": 379, + "ĠB": 380, + "Ġpro": 381, + "ist": 382, + "ht": 383, + "and": 384, + "Ġcom": 385, + "Ġse": 386, + "ate": 387, + "pe": 388, + "ill": 389, + "ess": 390, + "æľ": 391, + "th": 392, + "up": 393, + "Ġwe": 394, + "åı": 395, + "her": 396, + "ãĢĤ": 397, + "ä»": 398, + "ke": 399, + "ant": 400, + "ra": 401, + "ld": 402, + "Ġun": 403, + "oc": 404, + "Ġ=": 405, + "out": 406, + "ers": 407, + "end": 408, + "Ġor": 409, + "Ġex": 410, + "л": 411, + "ĠL": 412, + "ĠD": 413, + "ĠH": 414, + "our": 415, + "ĠF": 416, + "Ġare": 417, + "å¤": 418, + "ore": 419, + "rom": 420, + "Ġha": 421, + "ĠW": 422, + "в": 423, + "op": 424, + "nd": 425, + "ĠE": 426, + "Ġr": 427, + "ĠThe": 428, + "Ġat": 429, + "iv": 430, + "art": 431, + "ĠR": 432, + "åħ": 433, + "nt": 434, + "all": 435, + "ĠĠĠĠĠĠĠ": 436, + "Ġthis": 437, + "Ġwas": 438, + "ort": 439, + "Ġ\"": 440, + "Ġnot": 441, + "Ġne": 442, + "è¿": 443, + "ain": 444, + "Ġqu": 445, + "Ġla": 446, + "ight": 447, + "æĺ": 448, + "pl": 449, + "Ġus": 450, + "ction": 451, + "ĠG": 452, + "ure": 453, + "te": 454, + "å®": 455, + "Ġen": 456, + "Ġby": 457, + "ub": 458, + "ĉĉ": 459, + "Ġi": 460, + "ĠN": 461, + "pt": 462, + "Ġhave": 463, + "к": 464, + "ity": 465, + "Ġel": 466, + "Ġsh": 467, + "ass": 468, + "ment": 469, + "åĪ": 470, + "ame": 471, + "ould": 472, + "Ġfrom": 473, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 474, + "ä½": 475, + "ies": 476, + ");": 477, + "åľ": 478, + "{\\": 479, + "ine": 480, + "ia": 481, + "Ġcan": 482, + "åIJ": 483, + "ust": 484, + "ud": 485, + "âĢĻ": 486, + "ell": 487, + "ive": 488, + "д": 489, + "age": 490, + "ge": 491, + "ard": 492, + "og": 493, + "Ġch": 494, + "Ġcl": 495, + "ome": 496, + "ial": 497, + "ect": 498, + "ue": 499, + "ack": 500, + "ä¹": 501, + "æĺ¯": 502, + "ä¸Ģ": 503, + "red": 504, + "ost": 505, + "ĠO": 506, + "Ġ{": 507, + "able": 508, + "ath": 509, + "æĪ": 510, + "Ġper": 511, + "ich": 512, + "ind": 513, + "çĶ": 514, + "ip": 515, + "Ġle": 516, + "å°": 517, + "Ġyour": 518, + "Ġall": 519, + "ie": 520, + "Ġj": 521, + "per": 522, + "Ġme": 523, + "..": 524, + "åĬ": 525, + "Ġtr": 526, + "av": 527, + "Ġk": 528, + "iz": 529, + "xt": 530, + "ans": 531, + "ult": 532, + "Ġdo": 533, + "ãĢģ": 534, + "cl": 535, + "ff": 536, + "ast": 537, + "rou": 538, + "ç»": 539, + "Ġwill": 540, + "ok": 541, + "Ġwhe": 542, + "ide": 543, + "Ġab": 544, + "Ġbut": 545, + "The": 546, + "ite": 547, + "Ġwor": 548, + "æĹ": 549, + "ó": 550, + "ib": 551, + "Ġн": 552, + "//": 553, + "are": 554, + "Ġso": 555, + "ak": 556, + "port": 557, + "orm": 558, + "ions": 559, + "ĠÑģ": 560, + "Ñı": 561, + "Ġif": 562, + "_{": 563, + "con": 564, + "ĠJ": 565, + "cc": 566, + "Ġ-": 567, + "Ġpl": 568, + "int": 569, + "ä¸į": 570, + "åĽ": 571, + "Ġ*": 572, + "Ġ&": 573, + "ĠU": 574, + "ice": 575, + "м": 576, + "to": 577, + "Ġup": 578, + "Ġdel": 579, + "der": 580, + "de": 581, + "ace": 582, + "Ġhis": 583, + "é": 584, + "Ġwhich": 585, + "è¯": 586, + "ase": 587, + "Ġcomp": 588, + "ÑĬ": 589, + "ime": 590, + "one": 591, + "ong": 592, + "Ġres": 593, + "ally": 594, + "æĸ": 595, + "ä¼": 596, + "Ġmy": 597, + "Ġad": 598, + "Ñĥ": 599, + "ни": 600, + "ile": 601, + "å¹": 602, + "ther": 603, + "Ġam": 604, + "æľī": 605, + "æĿ": 606, + "з": 607, + "åľ¨": 608, + "eg": 609, + "Ġgo": 610, + "Ġ}": 611, + "ated": 612, + "äºĨ": 613, + "åŃ": 614, + "Ġп": 615, + "Ġна": 616, + "ign": 617, + "act": 618, + "Ġim": 619, + "åį": 620, + "ous": 621, + "----": 622, + "ÑĢа": 623, + "urn": 624, + "人": 625, + "Ġap": 626, + "ĠV": 627, + ").": 628, + "Ġone": 629, + "Ġcont": 630, + "Ġout": 631, + "ref": 632, + "gh": 633, + "ne": 634, + "è®": 635, + "ire": 636, + "Ġno": 637, + "Ġhas": 638, + "very": 639, + "Ġlo": 640, + "Ġque": 641, + "ll": 642, + "æī": 643, + "ió": 644, + "ance": 645, + "ÑĤо": 646, + "ake": 647, + "tr": 648, + "ÑĤа": 649, + "),": 650, + "Ġ'": 651, + "ÃŃ": 652, + "Ġthey": 653, + "ep": 654, + "ĠĠĠĠĠĠĠĠĠĠĠ": 655, + "ob": 656, + "ens": 657, + "Ġhad": 658, + "ft": 659, + "math": 660, + "å¸": 661, + "ary": 662, + "å¾": 663, + "Ġman": 664, + "ere": 665, + "Ġar": 666, + "pro": 667, + "the": 668, + "ang": 669, + "ry": 670, + "so": 671, + "Ãł": 672, + "ĠTh": 673, + "du": 674, + "Ġsu": 675, + "ail": 676, + "å·": 677, + "éĩ": 678, + "ach": 679, + "ĠIn": 680, + "ix": 681, + "èĢ": 682, + "Ġany": 683, + "ĥ½": 684, + "com": 685, + "Ġmore": 686, + "ose": 687, + "form": 688, + "ord": 689, + "ph": 690, + "Ġdis": 691, + "Ġpart": 692, + "å¼": 693, + "Ġser": 694, + "ition": 695, + "ber": 696, + "åĩ": 697, + "ress": 698, + "Ġtheir": 699, + "Ġdes": 700, + "Ġи": 701, + "ear": 702, + "get": 703, + "own": 704, + "ks": 705, + "Ġher": 706, + "Ġes": 707, + "ents": 708, + "Ġв": 709, + "ors": 710, + "г": 711, + "å¥": 712, + "Ġli": 713, + "ple": 714, + "ations": 715, + "ĠK": 716, + "ount": 717, + "åĨ": 718, + "è": 719, + "ence": 720, + "п": 721, + "ÑĤе": 722, + "на": 723, + "ound": 724, + "row": 725, + "Ñĩ": 726, + "ва": 727, + "ely": 728, + "ru": 729, + "ĠĠĠĠĠ": 730, + "Ġsp": 731, + "ma": 732, + "Ġsa": 733, + "ode": 734, + "ical": 735, + "}\\": 736, + "è¡": 737, + "Ġsome": 738, + "åº": 739, + "Ġwould": 740, + "Ġthere": 741, + "**": 742, + "éĢ": 743, + "大": 744, + "Ġfe": 745, + "Ġother": 746, + "ata": 747, + "Ġget": 748, + "å¯": 749, + "Ġwhen": 750, + "ÑĢе": 751, + "Ġsc": 752, + "ject": 753, + "ree": 754, + "Ġev": 755, + "Ġnew": 756, + "Ġclass": 757, + "vers": 758, + "ä¸Ń": 759, + "Ġо": 760, + "Ġtime": 761, + "ÑĢи": 762, + "Ġthem": 763, + "Ġour": 764, + "ĠY": 765, + "çĽ": 766, + "ick": 767, + "ype": 768, + "In": 769, + "ert": 770, + "low": 771, + "为": 772, + "Ġwere": 773, + "Ġwho": 774, + "åĮ": 775, + "sp": 776, + "èµ": 777, + "és": 778, + "reat": 779, + "==": 780, + "elf": 781, + "Ġabout": 782, + "è¿Ļ": 783, + "><": 784, + "lo": 785, + "âĢľ": 786, + "ings": 787, + "turn": 788, + "Ġpr": 789, + "ex": 790, + "б": 791, + "ink": 792, + "ays": 793, + "个": 794, + "ory": 795, + "è§": 796, + "ener": 797, + "Ġbeen": 798, + "Ġte": 799, + "Ġag": 800, + "æĬ": 801, + "}}": 802, + "è´": 803, + "ĠIt": 804, + "li": 805, + "nc": 806, + "lic": 807, + "æķ": 808, + "Ġro": 809, + "ck": 810, + "ef": 811, + "ä¸Ĭ": 812, + "ari": 813, + "çİ": 814, + "å¿": 815, + "ta": 816, + "Ġva": 817, + "text": 818, + "æł": 819, + "Ġob": 820, + "Ġ[": 821, + "()": 822, + "aus": 823, + "æĢ": 824, + "Ġfun": 825, + "Ġwork": 826, + "Ġkn": 827, + "we": 828, + "ps": 829, + "ual": 830, + "åĴ": 831, + "ÑģÑĤ": 832, + "Ġlike": 833, + "Ġshe": 834, + "Ġalso": 835, + "Ġpre": 836, + "èĩ": 837, + "Ġoff": 838, + "old": 839, + "ish": 840, + "Ġset": 841, + "Ġbo": 842, + "rib": 843, + "wo": 844, + "vel": 845, + "æŶ": 846, + "以": 847, + "æĪij": 848, + "Ġthan": 849, + "Ġinst": 850, + "Ġover": 851, + "Ġwhat": 852, + "Ġhim": 853, + "ild": 854, + "Ġest": 855, + "ark": 856, + "irst": 857, + "eth": 858, + "anc": 859, + "ont": 860, + "fr": 861, + "itt": 862, + "iff": 863, + "ç§": 864, + "ec": 865, + "sc": 866, + "ock": 867, + "¦ģ": 868, + "åİ": 869, + "hed": 870, + "Ġspe": 871, + "ov": 872, + "les": 873, + "ĠĠĠĠ<": 874, + "ons": 875, + ".\"": 876, + "gr": 877, + "Ġinto": 878, + "Ġval": 879, + "å±": 880, + "åĴĮ": 881, + "ys": 882, + "tern": 883, + "æŃ": 884, + "Ġonly": 885, + "ÑĨ": 886, + "âĢĵ": 887, + "è¦ģ": 888, + "Ġ/": 889, + "erm": 890, + "Ġits": 891, + "éĿ": 892, + "ull": 893, + "æ°": 894, + "Ġsup": 895, + "ĠSt": 896, + "enc": 897, + "Ġк": 898, + "ove": 899, + "éĹ": 900, + "çī": 901, + "(\\": 902, + "ĠCh": 903, + "Ġacc": 904, + "ug": 905, + "ific": 906, + "Ġcol": 907, + "æĿ¥": 908, + "als": 909, + "но": 910, + "lect": 911, + "Ġgr": 912, + "yst": 913, + "å½": 914, + "put": 915, + "æĶ": 916, + "åĪ°": 917, + "çľ": 918, + "fter": 919, + "ade": 920, + "çº": 921, + "ä¼ļ": 922, + "çĶŁ": 923, + "æ²": 924, + "ss": 925, + "egin": 926, + "Ġneed": 927, + "å¹´": 928, + "Ġcomm": 929, + "Ġthen": 930, + "Ġuse": 931, + "åij": 932, + "éĻ": 933, + "å°±": 934, + "ли": 935, + "hat": 936, + "pos": 937, + "ize": 938, + "Ġ|": 939, + "Ġhow": 940, + "èĥ½": 941, + "ï¼": 942, + "Ġд": 943, + "ng": 944, + "Ġ+": 945, + "begin": 946, + "æĥ": 947, + "Ġjust": 948, + "й": 949, + "\",": 950, + "è½": 951, + "bo": 952, + "any": 953, + "erv": 954, + "Ġmod": 955, + "Ñģк": 956, + "Ġadd": 957, + "app": 958, + "ics": 959, + "iew": 960, + "ble": 961, + "oint": 962, + "ystem": 963, + "æ³": 964, + "ict": 965, + "æ¯": 966, + "Ġreturn": 967, + "fig": 968, + "equ": 969, + "Ġmay": 970, + "âĢĿ": 971, + "Ġdef": 972, + "Ġbet": 973, + "iss": 974, + "Ġco": 975, + "pect": 976, + "err": 977, + "ò": 978, + "Ġtwo": 979, + "ates": 980, + "ning": 981, + "Ġcons": 982, + "ater": 983, + "Ġpos": 984, + "Ġent": 985, + "Ġrec": 986, + "ian": 987, + "åĽ½": 988, + "Ġsaid": 989, + "of": 990, + "clud": 991, + "Ġem": 992, + "Ġbl": 993, + "ublic": 994, + "ty": 995, + "ular": 996, + "ĠThis": 997, + "ĠWe": 998, + "cess": 999, + "åı¯": 1000, + "Ġknow": 1001, + "ough": 1002, + "Ġpe": 1003, + "ER": 1004, + "ient": 1005, + "pr": 1006, + "ise": 1007, + "Ġyear": 1008, + "Ġdiff": 1009, + "ption": 1010, + "Ġass": 1011, + "ació": 1012, + "Ġ<": 1013, + "igh": 1014, + "unt": 1015, + "Ġsee": 1016, + "Ġform": 1017, + "Ġ.": 1018, + "Ġfirst": 1019, + "Ġshould": 1020, + "ä¹Ł": 1021, + "Ġfin": 1022, + "Ġcould": 1023, + "ен": 1024, + "åĩº": 1025, + "_{\\": 1026, + "line": 1027, + "Ġе": 1028, + "ause": 1029, + "oth": 1030, + "right": 1031, + "ĠĠĠĠĠĠ": 1032, + "round": 1033, + "Ġop": 1034, + "æŀ": 1035, + "abel": 1036, + "sh": 1037, + "Ġles": 1038, + "--------": 1039, + "ats": 1040, + "æİ": 1041, + "Ġreg": 1042, + "its": 1043, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1044, + "Ġact": 1045, + "Ġuna": 1046, + "iel": 1047, + "cal": 1048, + "ible": 1049, + "ied": 1050, + "Ġг": 1051, + "Ġbec": 1052, + "ange": 1053, + "ä¿": 1054, + "ÑĢо": 1055, + "amb": 1056, + "å¤ļ": 1057, + "par": 1058, + "}{": 1059, + "Ġback": 1060, + "ĠHe": 1061, + "ada": 1062, + "Ġamb": 1063, + "Ġwhere": 1064, + "wn": 1065, + "Ġlook": 1066, + "Ġthese": 1067, + "åıij": 1068, + "Ġ//": 1069, + "Ġ_": 1070, + "对": 1071, + "Ġfol": 1072, + "å¦": 1073, + "uch": 1074, + "们": 1075, + "ĉĉĉĉ": 1076, + "},": 1077, + "Ġvery": 1078, + "ource": 1079, + "Th": 1080, + "çĶ¨": 1081, + "Ġke": 1082, + ",\"": 1083, + "Ġrel": 1084, + "ful": 1085, + "家": 1086, + "ring": 1087, + "ond": 1088, + "Ġunder": 1089, + "ж": 1090, + "Ġrem": 1091, + "Ġprov": 1092, + "Ġmost": 1093, + "è¾": 1094, + "æĭ": 1095, + "Ġsub": 1096, + "Ġint": 1097, + "Ġmake": 1098, + "ax": 1099, + "æĦ": 1100, + "åIJİ": 1101, + "ĠĠĠĠĠĠĠĠ<": 1102, + "ious": 1103, + "æµ": 1104, + "hen": 1105, + "rough": 1106, + "cre": 1107, + "div": 1108, + "Ġsuch": 1109, + "ield": 1110, + "èĩª": 1111, + "io": 1112, + "set": 1113, + "Ġpar": 1114, + "Ġdon": 1115, + "æĪIJ": 1116, + "Ġsim": 1117, + "Ġph": 1118, + "ood": 1119, + "Ġwant": 1120, + "frac": 1121, + "é¢": 1122, + "åĵ": 1123, + "èĤ": 1124, + "è¡Į": 1125, + "Ġcur": 1126, + "ĠоÑĤ": 1127, + "ating": 1128, + "Ġevery": 1129, + "Ġnow": 1130, + "çŃ": 1131, + "Ġcor": 1132, + "Ġconst": 1133, + "Ġwell": 1134, + "æ¬": 1135, + "åī": 1136, + "riv": 1137, + "imes": 1138, + "arg": 1139, + "Ġз": 1140, + "Ġway": 1141, + "rit": 1142, + "oy": 1143, + "rm": 1144, + "ä»ĸ": 1145, + "ave": 1146, + "ä½ľ": 1147, + "ä¸ļ": 1148, + "erson": 1149, + "Ġtrans": 1150, + "ople": 1151, + "ues": 1152, + "ä¸ĭ": 1153, + "IN": 1154, + "Ġfunction": 1155, + "other": 1156, + "åѦ": 1157, + "çIJ": 1158, + "Ġsm": 1159, + "let": 1160, + "::": 1161, + "Ġgener": 1162, + "ren": 1163, + "Ġafter": 1164, + "Ġbu": 1165, + "ures": 1166, + "æĮ": 1167, + "ica": 1168, + "resent": 1169, + "äºİ": 1170, + "Ġ@": 1171, + "иÑı": 1172, + "ower": 1173, + "éĺ": 1174, + "ork": 1175, + "Ġatt": 1176, + "ution": 1177, + "ments": 1178, + "Ġfollow": 1179, + "self": 1180, + "Ġnum": 1181, + "Ġthrough": 1182, + "',": 1183, + "åľ°": 1184, + "eq": 1185, + "è¿ĩ": 1186, + "read": 1187, + "cite": 1188, + "Ġdata": 1189, + "Ġdiffere": 1190, + "Ġ:": 1191, + "rent": 1192, + "Ġinter": 1193, + "Ġпо": 1194, + "(\"": 1195, + "Ġsol": 1196, + "Ġм": 1197, + "ĠUn": 1198, + "Ġhel": 1199, + "Âł": 1200, + "St": 1201, + "...": 1202, + "åŃIJ": 1203, + "Ġprodu": 1204, + "Ġgood": 1205, + "label": 1206, + "ward": 1207, + "Ġname": 1208, + "åģ": 1209, + "ÑĦ": 1210, + "ily": 1211, + "led": 1212, + "Ġdid": 1213, + "Ġdoes": 1214, + "hes": 1215, + "ract": 1216, + "quest": 1217, + "ices": 1218, + "Ġused": 1219, + "éĥ½": 1220, + "Ġdown": 1221, + "})": 1222, + "Ġend": 1223, + "air": 1224, + "eng": 1225, + "Ġgreat": 1226, + "ray": 1227, + "Ġresult": 1228, + "ev": 1229, + "plic": 1230, + "ins": 1231, + "Ġlong": 1232, + "Ġза": 1233, + "Ġeven": 1234, + "atch": 1235, + "ON": 1236, + "mathb": 1237, + "uc": 1238, + "ife": 1239, + "ility": 1240, + "Ġgu": 1241, + "Ġusing": 1242, + "Ġpeople": 1243, + "Ġsame": 1244, + "Ġels": 1245, + "åĬ¨": 1246, + "éģ": 1247, + "好": 1248, + "ative": 1249, + "eta": 1250, + "fore": 1251, + "rap": 1252, + "ting": 1253, + "ym": 1254, + "ĠYou": 1255, + "çİ°": 1256, + "ident": 1257, + "ash": 1258, + "Ġdet": 1259, + "ool": 1260, + "æĸ¹": 1261, + "Ġac": 1262, + "not": 1263, + "Ġmuch": 1264, + "Ġcre": 1265, + "nce": 1266, + "ts": 1267, + "ator": 1268, + "ле": 1269, + "Ġpublic": 1270, + "ĠIf": 1271, + "Ġread": 1272, + "Ġfind": 1273, + "ars": 1274, + "Ġserv": 1275, + "Ġfl": 1276, + "Ġcap": 1277, + "arch": 1278, + "ament": 1279, + "Ġcall": 1280, + "ве": 1281, + "æ¸": 1282, + "Ġhere": 1283, + "val": 1284, + "çĤ": 1285, + "ка": 1286, + "åĪĨ": 1287, + "ities": 1288, + "els": 1289, + "amp": 1290, + "æ±": 1291, + "ern": 1292, + "();": 1293, + "Ġshow": 1294, + "Ġhand": 1295, + "ages": 1296, + "æ´": 1297, + "irect": 1298, + "over": 1299, + "Ġspec": 1300, + "ла": 1301, + "Ġdist": 1302, + "ince": 1303, + "èĢĮ": 1304, + "ew": 1305, + "ĠAnd": 1306, + "ÑĤи": 1307, + "Ġagain": 1308, + "Ġext": 1309, + "å°ı": 1310, + "Ġmany": 1311, + "bre": 1312, + "ml": 1313, + "col": 1314, + "Ġsystem": 1315, + "../": 1316, + "Ġeach": 1317, + "é«": 1318, + "ght": 1319, + "mer": 1320, + "Ġbefore": 1321, + "ç»ı": 1322, + "Ñī": 1323, + "Ġloc": 1324, + "Ġref": 1325, + "ier": 1326, + "Ġright": 1327, + "Ġstart": 1328, + "é«ĺ": 1329, + "ased": 1330, + "ç«": 1331, + "å¾Ĺ": 1332, + "ç": 1333, + "Ġcar": 1334, + "essage": 1335, + "Ġinv": 1336, + "ner": 1337, + "be": 1338, + "ined": 1339, + "ди": 1340, + "Ġhelp": 1341, + "å¿ĥ": 1342, + "ript": 1343, + "Ġmin": 1344, + "åŁ": 1345, + "è·": 1346, + "æĽ": 1347, + "Ġline": 1348, + "left": 1349, + "éķ": 1350, + "day": 1351, + "Ġeff": 1352, + "ever": 1353, + "éĿ¢": 1354, + "Ġtra": 1355, + "da": 1356, + "ä¾": 1357, + "ä¹ĭ": 1358, + "ĠÑģе": 1359, + "ween": 1360, + "Ñħ": 1361, + "era": 1362, + "ather": 1363, + "Ġbel": 1364, + "说": 1365, + "ĠCom": 1366, + "ä½ł": 1367, + "Ġbecause": 1368, + "RE": 1369, + "ement": 1370, + "Ġx": 1371, + "Ġown": 1372, + "Ġthink": 1373, + "aking": 1374, + "We": 1375, + "ç½": 1376, + "è¿ĺ": 1377, + "ĠPro": 1378, + "Ġpol": 1379, + "It": 1380, + "çĿ": 1381, + "olog": 1382, + "во": 1383, + "atic": 1384, + "mathcal": 1385, + "å¼Ģ": 1386, + "ature": 1387, + "å·¥": 1388, + "ho": 1389, + "Ġinclud": 1390, + "ĠAl": 1391, + "AT": 1392, + "天": 1393, + "åĢ": 1394, + "ead": 1395, + "Ġmade": 1396, + "å®ŀ": 1397, + "tt": 1398, + "æĸ°": 1399, + "ms": 1400, + "Ġstr": 1401, + "pend": 1402, + "Ġche": 1403, + "Ġrun": 1404, + "åĬĽ": 1405, + "way": 1406, + ",\\": 1407, + "Ġaut": 1408, + "man": 1409, + "å¦Ĥ": 1410, + "cond": 1411, + "Ġ=Ġ": 1412, + "oid": 1413, + "Ġpoint": 1414, + "ider": 1415, + "ute": 1416, + "Ġfr": 1417, + "}.": 1418, + "la": 1419, + "Ġgiv": 1420, + "ton": 1421, + "ale": 1422, + "åħ¬": 1423, + "tain": 1424, + "ery": 1425, + "Pro": 1426, + "ruct": 1427, + "ST": 1428, + "====": 1429, + "Ġbeing": 1430, + "ittle": 1431, + "Ġvalue": 1432, + "Ġbetween": 1433, + "ank": 1434, + "))": 1435, + "equation": 1436, + "__": 1437, + "æľĢ": 1438, + "ĠX": 1439, + "åħ¨": 1440, + "Ġrep": 1441, + "Ġdifferent": 1442, + "Ġtype": 1443, + "ines": 1444, + "Ġpass": 1445, + "ants": 1446, + "å¾Ī": 1447, + "ç¾": 1448, + "å¸Ĥ": 1449, + "Ġdec": 1450, + "è¿Ľ": 1451, + "Ġcase": 1452, + "Ġhigh": 1453, + "Ġthose": 1454, + "Ġmon": 1455, + "Ġfam": 1456, + "ness": 1457, + "ots": 1458, + "for": 1459, + "Ġed": 1460, + "tring": 1461, + "Ġfil": 1462, + "è¶": 1463, + "iqu": 1464, + "Ġsign": 1465, + "ĠEl": 1466, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1467, + "ĠBut": 1468, + "ric": 1469, + "Ġwhile": 1470, + "Ġexper": 1471, + "æĹ¥": 1472, + "pon": 1473, + "Ġsay": 1474, + "åīį": 1475, + "press": 1476, + "ctions": 1477, + "formation": 1478, + "roup": 1479, + "Ġinte": 1480, + "ÑĬÑĢ": 1481, + "ç®": 1482, + "Ġés": 1483, + "Ġav": 1484, + "Ġperson": 1485, + "Ġday": 1486, + "ĠFor": 1487, + "Ex": 1488, + "çIJĨ": 1489, + "Ġvari": 1490, + "ethod": 1491, + "Ġdi": 1492, + "ually": 1493, + "Ġ#": 1494, + "ames": 1495, + "Ġfound": 1496, + "('": 1497, + "éĥ": 1498, + "å®ļ": 1499, + "åIJĮ": 1500, + "ample": 1501, + "ма": 1502, + "æ³ķ": 1503, + "****": 1504, + "me": 1505, + "ä½ĵ": 1506, + "til": 1507, + "ouse": 1508, + "Ġequ": 1509, + "Ġstud": 1510, + "dd": 1511, + "Ġproble": 1512, + "min": 1513, + "ç¬": 1514, + "vent": 1515, + "ces": 1516, + "Ġlist": 1517, + "çŁ": 1518, + "Ġsom": 1519, + "æĻ": 1520, + "Ġtake": 1521, + "AR": 1522, + "name": 1523, + "车": 1524, + "Con": 1525, + "Ġmust": 1526, + "here": 1527, + "ited": 1528, + "çŃī": 1529, + "Ġplay": 1530, + "}(": 1531, + "çľĭ": 1532, + "çĦ": 1533, + "è°": 1534, + "LE": 1535, + "ody": 1536, + "ло": 1537, + "rest": 1538, + "Ġind": 1539, + "Ġposs": 1540, + "span": 1541, + "ets": 1542, + "ĠQ": 1543, + "Ġhav": 1544, + "und": 1545, + "uring": 1546, + "Ġyears": 1547, + "æīĢ": 1548, + "åħ¶": 1549, + "Ġ||": 1550, + "def": 1551, + "да": 1552, + "itat": 1553, + "Ġlast": 1554, + "Ġchar": 1555, + "Ġinstall": 1556, + "Ġrequ": 1557, + "iness": 1558, + "This": 1559, + "less": 1560, + "land": 1561, + "é£": 1562, + "this": 1563, + "Ġboth": 1564, + "}_": 1565, + "ought": 1566, + "ĠAr": 1567, + "pre": 1568, + "Ġsur": 1569, + "иÑĤе": 1570, + "Ġbr": 1571, + "Ġerr": 1572, + "untu": 1573, + "ĠĠĠĠĠĠĠĠĠ": 1574, + "Ġmat": 1575, + "Ġlittle": 1576, + "aut": 1577, + "inc": 1578, + "ional": 1579, + "sub": 1580, + "çĤ¹": 1581, + "Ġreal": 1582, + "gan": 1583, + "Ġstill": 1584, + "Ġ--": 1585, + "ired": 1586, + "ument": 1587, + "inal": 1588, + "work": 1589, + "ense": 1590, + "éķ¿": 1591, + "åĿ": 1592, + "не": 1593, + "Ġnumber": 1594, + "èĢħ": 1595, + "ves": 1596, + "cept": 1597, + "Ġbest": 1598, + "äºĭ": 1599, + "Ġrest": 1600, + "ú": 1601, + "idth": 1602, + "ized": 1603, + "ä¸Ģ个": 1604, + "indow": 1605, + "Ġbus": 1606, + "Ġdisc": 1607, + "éĤ": 1608, + "ÑĪ": 1609, + "ä¸İ": 1610, + "æı": 1611, + "alk": 1612, + "Ġdels": 1613, + "ènc": 1614, + "://": 1615, + "ational": 1616, + "cent": 1617, + "æľº": 1618, + "pha": 1619, + "ĠС": 1620, + "part": 1621, + "æĥħ": 1622, + "ply": 1623, + "Ġlet": 1624, + "åIJĪ": 1625, + "ee": 1626, + "Ġinf": 1627, + "Ñĩе": 1628, + "ava": 1629, + "ience": 1630, + "Ġmem": 1631, + "Ġterm": 1632, + "ĠAn": 1633, + "æľ¬": 1634, + "ко": 1635, + "irc": 1636, + "èĬ": 1637, + "bl": 1638, + "ced": 1639, + "产": 1640, + "Ġ*/": 1641, + "Ġcurrent": 1642, + "çĿĢ": 1643, + "gram": 1644, + "br": 1645, + "Ġtoo": 1646, + "çĦ¶": 1647, + "á": 1648, + "Ġgl": 1649, + "Ġvol": 1650, + "éĹ´": 1651, + "主": 1652, + "éĽ": 1653, + "Ġwr": 1654, + "èī": 1655, + "ason": 1656, + "æľĪ": 1657, + "Ġpartic": 1658, + "Ġimport": 1659, + "Ġmight": 1660, + "arn": 1661, + "æį": 1662, + "Ġins": 1663, + "没": 1664, + "é¡": 1665, + "Ġwithout": 1666, + "ared": 1667, + "ault": 1668, + "Ġvis": 1669, + "Ġz": 1670, + "å½ĵ": 1671, + "##": 1672, + "éĩĮ": 1673, + "·": 1674, + "Ġtry": 1675, + "æ¶": 1676, + "bar": 1677, + "å§": 1678, + "ote": 1679, + "éĥ¨": 1680, + "éļ": 1681, + "ĠLa": 1682, + "Ġcount": 1683, + "Ġtem": 1684, + "ser": 1685, + "ĠпÑĢе": 1686, + "ways": 1687, + "alpha": 1688, + "ina": 1689, + "га": 1690, + "ades": 1691, + "OR": 1692, + "pec": 1693, + "Ġprocess": 1694, + "åľº": 1695, + "tic": 1696, + "åĬł": 1697, + "Com": 1698, + "ä½Ĩ": 1699, + "Ġб": 1700, + "çĪ": 1701, + "aj": 1702, + "Ġll": 1703, + "Ġele": 1704, + "Ġold": 1705, + "Ġdirect": 1706, + "Ġfact": 1707, + "velop": 1708, + "ten": 1709, + "ters": 1710, + "rop": 1711, + "Ġhome": 1712, + "ä¹Ī": 1713, + "Ġopen": 1714, + "ven": 1715, + "Ġve": 1716, + "ĠHow": 1717, + "ÑĨи": 1718, + "Ġtest": 1719, + "Ġlife": 1720, + "æĢ§": 1721, + "ç¨": 1722, + "åĽł": 1723, + "Ġко": 1724, + "ĠAs": 1725, + "Ġword": 1726, + "åĮĸ": 1727, + "Ġappro": 1728, + "éĩį": 1729, + "ext": 1730, + "ething": 1731, + "EN": 1732, + "co": 1733, + "åĵģ": 1734, + "td": 1735, + "Ġmen": 1736, + "Name": 1737, + "ann": 1738, + "Ġmed": 1739, + "ished": 1740, + "åħ³": 1741, + "Ġcle": 1742, + "AL": 1743, + "Ġseem": 1744, + "orn": 1745, + "rol": 1746, + "ç¤": 1747, + "Ġinformation": 1748, + "ĉĉĉ": 1749, + "az": 1750, + "éģĵ": 1751, + "Ġsmall": 1752, + "Ġfile": 1753, + "ior": 1754, + "èµ·": 1755, + ")\\": 1756, + "ried": 1757, + "Ġpost": 1758, + "ross": 1759, + "æ¯Ķ": 1760, + "add": 1761, + "oci": 1762, + "erg": 1763, + "ases": 1764, + "arm": 1765, + "au": 1766, + "riend": 1767, + "load": 1768, + "èģ": 1769, + "akes": 1770, + "oot": 1771, + "):": 1772, + "ved": 1773, + "Ġdesc": 1774, + "ĠSh": 1775, + "åĨħ": 1776, + "bs": 1777, + "yp": 1778, + "html": 1779, + "inu": 1780, + "Ġself": 1781, + "thing": 1782, + "Ġcent": 1783, + "mod": 1784, + "ek": 1785, + "Ġquest": 1786, + ".,": 1787, + "va": 1788, + "Ġcour": 1789, + "ç§į": 1790, + "æĽ´": 1791, + "elta": 1792, + "alse": 1793, + "arc": 1794, + "ambda": 1795, + "ID": 1796, + "pi": 1797, + "Ġconf": 1798, + "Ġplace": 1799, + "../../": 1800, + "ives": 1801, + "éĢļ": 1802, + "ustom": 1803, + "ides": 1804, + "éĶ": 1805, + "gg": 1806, + "æĪij们": 1807, + "Ġmés": 1808, + "Ġra": 1809, + "lease": 1810, + "Ġdesign": 1811, + "ware": 1812, + "Ġpower": 1813, + "ĠCon": 1814, + "度": 1815, + "Ġproper": 1816, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 1817, + "åİ»": 1818, + "Ġpresent": 1819, + "view": 1820, + "æŀľ": 1821, + "Ġа": 1822, + "nect": 1823, + "ĠÐŁ": 1824, + "Id": 1825, + "Ġorder": 1826, + "å»": 1827, + "sum": 1828, + "new": 1829, + "Ġeas": 1830, + "trans": 1831, + "Ġhapp": 1832, + "å·±": 1833, + "Ġcr": 1834, + "Ġworld": 1835, + "rem": 1836, + "{-": 1837, + "ви": 1838, + "ĉ}": 1839, + "If": 1840, + "å°Ĩ": 1841, + "ç©": 1842, + "æ°´": 1843, + "atur": 1844, + "çĻ": 1845, + "Ġthree": 1846, + "æĹł": 1847, + "Ġsupport": 1848, + "ivers": 1849, + "ç¾İ": 1850, + "ĠFr": 1851, + "arge": 1852, + "Ġfew": 1853, + "ĠCl": 1854, + "ertain": 1855, + "Ġsecond": 1856, + "Ġcome": 1857, + "Ġnever": 1858, + "Ġchild": 1859, + "ccess": 1860, + "Ġtop": 1861, + "cur": 1862, + "amma": 1863, + "Ġgoing": 1864, + "éĤ£": 1865, + "Ġsomething": 1866, + "æŁ": 1867, + "åı¯ä»¥": 1868, + "El": 1869, + "apt": 1870, + "SE": 1871, + "umn": 1872, + "lation": 1873, + "ered": 1874, + "Ġoper": 1875, + "uss": 1876, + "alth": 1877, + "amet": 1878, + "back": 1879, + "èĩªå·±": 1880, + "var": 1881, + "å¢": 1882, + "arly": 1883, + "Ġfollowing": 1884, + "Ġide": 1885, + "åħ¥": 1886, + "vert": 1887, + "Ġbre": 1888, + "To": 1889, + "version": 1890, + "ped": 1891, + "import": 1892, + "ality": 1893, + "常": 1894, + "ify": 1895, + "Ġsl": 1896, + "æīĭ": 1897, + "Ġet": 1898, + "åĮº": 1899, + "ream": 1900, + "raph": 1901, + "æł·": 1902, + "Ġanother": 1903, + "_\\": 1904, + "source": 1905, + "Ġdev": 1906, + "Ġhead": 1907, + "ency": 1908, + "Ġ\\\\": 1909, + "esc": 1910, + "çķ": 1911, + "Ġreally": 1912, + "ik": 1913, + "Ġhref": 1914, + "Ch": 1915, + "ĠRe": 1916, + "Ġtrue": 1917, + "Ġprof": 1918, + "æĸĩ": 1919, + "Type": 1920, + "æģ": 1921, + "Ġsk": 1922, + "ists": 1923, + "å¤ĸ": 1924, + "次": 1925, + "ä¸ī": 1926, + "ä½į": 1927, + "reg": 1928, + "itor": 1929, + "Ġeffect": 1930, + "ç³": 1931, + "Ġproduct": 1932, + "yn": 1933, + "AN": 1934, + "mu": 1935, + "Ġturn": 1936, + "çĹ": 1937, + "Ġ>": 1938, + "æĦı": 1939, + "éħ": 1940, + "Ġopt": 1941, + "де": 1942, + "Ġpur": 1943, + "è¢": 1944, + "ĠThey": 1945, + "by": 1946, + "Ġput": 1947, + "Ġalways": 1948, + "äºĽ": 1949, + "Ñģки": 1950, + "wh": 1951, + "Ġsince": 1952, + "æĺİ": 1953, + "éľ": 1954, + "çĸ": 1955, + "?\"": 1956, + "reen": 1957, + "éĩı": 1958, + "Ġmain": 1959, + "ä»İ": 1960, + "Ġsw": 1961, + "âĢĶ": 1962, + "ott": 1963, + "ger": 1964, + "缸": 1965, + "Ar": 1966, + "Ġstate": 1967, + "âĢŀ": 1968, + "Ġelse": 1969, + "comm": 1970, + "ĠZ": 1971, + "ĠSe": 1972, + "Ġaround": 1973, + "ask": 1974, + "Ġid": 1975, + "Ġinde": 1976, + "ĠDe": 1977, + "For": 1978, + "att": 1979, + "son": 1980, + "arent": 1981, + "Cl": 1982, + "ниÑı": 1983, + "date": 1984, + "Ġmark": 1985, + "èº": 1986, + "por": 1987, + "chool": 1988, + "ï¼Ľ": 1989, + "ism": 1990, + "ien": 1991, + "æıIJ": 1992, + "mathbb": 1993, + "sw": 1994, + "ining": 1995, + "ĠNew": 1996, + "message": 1997, + "Ġallow": 1998, + "yle": 1999, + "Ġmet": 2000, + "Ġthings": 2001, + "item": 2002, + "itz": 2003, + "----------------": 2004, + "String": 2005, + "str": 2006, + "Ġbetter": 2007, + "Ġmodel": 2008, + "stand": 2009, + "Ġfield": 2010, + "æĥ³": 2011, + "Ġlead": 2012, + "ole": 2013, + "ope": 2014, + "med": 2015, + "chn": 2016, + "Ġgiven": 2017, + "Al": 2018, + "roll": 2019, + "ering": 2020, + "Ġadv": 2021, + "log": 2022, + "ization": 2023, + "raw": 2024, + "第": 2025, + "igma": 2026, + "Ġstand": 2027, + "Ġcond": 2028, + "}_{": 2029, + "ified": 2030, + "Ġprogram": 2031, + "ме": 2032, + "æľŁ": 2033, + "Ġdevelop": 2034, + "play": 2035, + "ength": 2036, + "Ġsure": 2037, + "èIJ": 2038, + "Ġ,": 2039, + "Ġmethod": 2040, + "èµĦ": 2041, + "You": 2042, + "loc": 2043, + "Ġ=>": 2044, + "eps": 2045, + "èĥ": 2046, + "Ġmean": 2047, + "Ġseg": 2048, + "Ġtot": 2049, + "Ġcare": 2050, + "ah": 2051, + "ither": 2052, + "Ġupon": 2053, + "Ġproblem": 2054, + "ä¿Ŀ": 2055, + "Ġvan": 2056, + "Ġpat": 2057, + "Ġpres": 2058, + "ĠThere": 2059, + "çĥ": 2060, + "ĠÐļ": 2061, + "Ġhard": 2062, + "omen": 2063, + "Res": 2064, + "ception": 2065, + "ĠEx": 2066, + "oss": 2067, + "CT": 2068, + "Ġ!": 2069, + "åºĶ": 2070, + "по": 2071, + "èĭ": 2072, + "cul": 2073, + "ĠSo": 2074, + "Ġиз": 2075, + "Ġask": 2076, + "åģļ": 2077, + "ç¥": 2078, + "Ġsing": 2079, + "ĉ\\": 2080, + "ç²": 2081, + "Ġfree": 2082, + "ule": 2083, + "Ġsit": 2084, + "oh": 2085, + "serv": 2086, + "ral": 2087, + "Ġappe": 2088, + "èĦ": 2089, + "Ġgive": 2090, + "ential": 2091, + "æ´»": 2092, + "Ġbusiness": 2093, + "çĶµ": 2094, + "ailable": 2095, + "身": 2096, + "ital": 2097, + "cont": 2098, + "Ġperform": 2099, + "Ġnext": 2100, + "éĴ": 2101, + "ron": 2102, + "Ġwon": 2103, + "Ġleft": 2104, + "IT": 2105, + "ctor": 2106, + "hor": 2107, + "code": 2108, + "htt": 2109, + "Ġlog": 2110, + "As": 2111, + "让": 2112, + "Ġlove": 2113, + "Ġprim": 2114, + "ĠIs": 2115, + "ĠĠĠĠĠĠ<": 2116, + "ately": 2117, + "ĠShe": 2118, + "Ġkey": 2119, + "å±ķ": 2120, + "æѤ": 2121, + "ria": 2122, + "Ġbook": 2123, + "\"/": 2124, + "return": 2125, + "ively": 2126, + "Ġfriend": 2127, + "che": 2128, + "æĦŁ": 2129, + "åıª": 2130, + "ĠTr": 2131, + "Ġsent": 2132, + "Ġexpl": 2133, + "å¹³": 2134, + "Ġten": 2135, + "ми": 2136, + "ele": 2137, + "Ġgot": 2138, + "type": 2139, + "uff": 2140, + "ook": 2141, + "并": 2142, + "缮": 2143, + "Ġlight": 2144, + "ane": 2145, + "éĩij": 2146, + "ĠTo": 2147, + "Ġobject": 2148, + "ï¼ģ": 2149, + "SS": 2150, + "Ġexpect": 2151, + "ateg": 2152, + "bol": 2153, + "aster": 2154, + "建": 2155, + "org": 2156, + "çī©": 2157, + "åĸ": 2158, + "Ġnon": 2159, + "itions": 2160, + "bf": 2161, + "Ġiss": 2162, + "ĠĠ<": 2163, + "ache": 2164, + "Ġcou": 2165, + "width": 2166, + "align": 2167, + "åķ": 2168, + "ey": 2169, + "ĠWh": 2170, + "ush": 2171, + "rivate": 2172, + "Ġcal": 2173, + "Val": 2174, + "çģ": 2175, + "class": 2176, + "æ·": 2177, + "ably": 2178, + "Ġerror": 2179, + "Ġinterest": 2180, + "ĠĠĠĠĠĠĠĠĠĠĠĠ<": 2181, + "Ġcomple": 2182, + "æ°ij": 2183, + "Ġcho": 2184, + "ĠMr": 2185, + "phi": 2186, + "åĬ¡": 2187, + "Ġpossible": 2188, + "Ġ)": 2189, + "section": 2190, + "aps": 2191, + "Ġfull": 2192, + "mathbf": 2193, + "Ġexample": 2194, + "itle": 2195, + "é©": 2196, + "erc": 2197, + "æŃ£": 2198, + "åıĬ": 2199, + "ains": 2200, + "被": 2201, + "没æľī": 2202, + "met": 2203, + "Ġmar": 2204, + "Ġfeel": 2205, + "ç´": 2206, + "Ġthought": 2207, + "表": 2208, + "åIJį": 2209, + "ç±": 2210, + "An": 2211, + "å®ī": 2212, + "fe": 2213, + "hip": 2214, + "ï¼Ł": 2215, + "Ġconsider": 2216, + "lish": 2217, + "ety": 2218, + "ries": 2219, + "Ġ`": 2220, + "lambda": 2221, + "èĪ": 2222, + "ically": 2223, + "Ref": 2224, + "Ġcorre": 2225, + "ĠÐľ": 2226, + "Ġdat": 2227, + "bers": 2228, + "ling": 2229, + "ĠCol": 2230, + "Ġkeep": 2231, + "Ġmult": 2232, + "erence": 2233, + "where": 2234, + "Ġincre": 2235, + "Ġless": 2236, + "opt": 2237, + "Ġable": 2238, + "ĠÑģÑĬ": 2239, + ")}": 2240, + "Ġvar": 2241, + "Ġseu": 2242, + "cd": 2243, + "ww": 2244, + "List": 2245, + "RO": 2246, + "Ġdri": 2247, + "Ġlevel": 2248, + "Ġport": 2249, + "ume": 2250, + "ĠÐij": 2251, + "Ġchange": 2252, + "设": 2253, + "é¦": 2254, + "aces": 2255, + "æķ°": 2256, + "net": 2257, + "aw": 2258, + "ided": 2259, + "Ġrece": 2260, + "ances": 2261, + "çł": 2262, + "inter": 2263, + "ently": 2264, + "Ġbro": 2265, + "åijĺ": 2266, + "ift": 2267, + "åĪ¶": 2268, + "En": 2269, + "And": 2270, + "rist": 2271, + "arget": 2272, + "box": 2273, + "ability": 2274, + "ĠÐĴ": 2275, + "face": 2276, + "top": 2277, + "ç¼": 2278, + "æ¡": 2279, + "param": 2280, + "den": 2281, + "ĠEng": 2282, + "unic": 2283, + "ĠPl": 2284, + "ida": 2285, + "Ġcost": 2286, + "with": 2287, + "Ġbuild": 2288, + "ED": 2289, + "Ġnet": 2290, + "Ġlocal": 2291, + "Ġaway": 2292, + "rr": 2293, + "go": 2294, + "Ñģка": 2295, + "ки": 2296, + "èĢģ": 2297, + "ana": 2298, + "Ġproject": 2299, + "å·²": 2300, + "Ġка": 2301, + "Ġstat": 2302, + "util": 2303, + "两": 2304, + "fo": 2305, + "ember": 2306, + "Ġlarge": 2307, + "ä¿¡": 2308, + "-\\": 2309, + "Ġduring": 2310, + "mon": 2311, + "Ġ==": 2312, + "æĪĸ": 2313, + "ention": 2314, + "Ġavailable": 2315, + "åĪ©": 2316, + "Ġocc": 2317, + "Ġpo": 2318, + "Ġfinal": 2319, + "Ġlim": 2320, + "Ġabove": 2321, + "Ñİ": 2322, + "ision": 2323, + "Ġtre": 2324, + "ĠInd": 2325, + "Ġcirc": 2326, + "Ġmom": 2327, + "Ġenc": 2328, + "èį": 2329, + "Ġ{\\": 2330, + "figure": 2331, + "Ġcheck": 2332, + "ology": 2333, + "Ġview": 2334, + "Ġpot": 2335, + "ised": 2336, + "acter": 2337, + "çŁ¥": 2338, + "го": 2339, + "ived": 2340, + "ado": 2341, + "Ñĩа": 2342, + "çī¹": 2343, + "ĠEn": 2344, + "Ġwater": 2345, + "use": 2346, + "ready": 2347, + "AM": 2348, + "ÑĬл": 2349, + "åħĥ": 2350, + "ĠAp": 2351, + "Ġnull": 2352, + "alt": 2353, + "æ°Ķ": 2354, + "Ġchang": 2355, + "asure": 2356, + "ĠNo": 2357, + "Ġfar": 2358, + "Ġdone": 2359, + "LL": 2360, + "ç³»": 2361, + "ission": 2362, + "Ġcame": 2363, + "Ġimportant": 2364, + "Ġtable": 2365, + "most": 2366, + "女": 2367, + "ables": 2368, + "ird": 2369, + "but": 2370, + "unity": 2371, + "Ġwithin": 2372, + "Ġapplic": 2373, + "Ġcustom": 2374, + "ilon": 2375, + "Ġside": 2376, + "Ġbeh": 2377, + "ç¡": 2378, + "Ġpack": 2379, + "ocument": 2380, + "head": 2381, + "Ġaff": 2382, + "\\\\": 2383, + "fun": 2384, + "But": 2385, + "ges": 2386, + "vious": 2387, + "ние": 2388, + "å°±æĺ¯": 2389, + "ĠÑĦ": 2390, + "Ġgeneral": 2391, + "ails": 2392, + "оÑĢ": 2393, + "代": 2394, + "angle": 2395, + "å£": 2396, + "Ġdr": 2397, + "Ġsize": 2398, + "Ġprob": 2399, + "Ġtell": 2400, + "dis": 2401, + "è·¯": 2402, + "管": 2403, + "ĠGr": 2404, + "iment": 2405, + "lection": 2406, + "uit": 2407, + "Ġservice": 2408, + "æķĻ": 2409, + "ona": 2410, + "Ġthing": 2411, + "Ġinc": 2412, + "он": 2413, + "Ġcalled": 2414, + "Ġorig": 2415, + "ĠOn": 2416, + "ga": 2417, + "ĠAll": 2418, + "Ġhum": 2419, + "ait": 2420, + "ET": 2421, + "Ġtext": 2422, + "ç½ij": 2423, + "Ġnom": 2424, + "aper": 2425, + "Ġmov": 2426, + "Ġver": 2427, + "ager": 2428, + "uck": 2429, + "ç»Ļ": 2430, + "Cont": 2431, + "ours": 2432, + "ĠÑĥ": 2433, + "Ġpop": 2434, + "Ġда": 2435, + "Ġkind": 2436, + "ĠÑĢа": 2437, + "Ġplan": 2438, + "He": 2439, + "Ġthough": 2440, + "Ġhist": 2441, + "Ġapp": 2442, + "Ġseva": 2443, + "еÑĢ": 2444, + "Ġmeans": 2445, + "Ġconnect": 2446, + "key": 2447, + "data": 2448, + "Ġart": 2449, + "ĠWhat": 2450, + "Ġaccess": 2451, + "Ġintern": 2452, + "ãĢĭ": 2453, + "atal": 2454, + "ially": 2455, + "\")": 2456, + "éĹ®": 2457, + "ãĢĬ": 2458, + "no": 2459, + "ieve": 2460, + "Ġresults": 2461, + "')": 2462, + "ĠWhen": 2463, + "åı¸": 2464, + "é¢ĺ": 2465, + "å¼ı": 2466, + "解": 2467, + "duct": 2468, + "Ġlib": 2469, + "Ġagainst": 2470, + "Ġanal": 2471, + "Ġmonth": 2472, + "fect": 2473, + "ribut": 2474, + "Ġtechn": 2475, + "Tr": 2476, + "Ġey": 2477, + "ĠOr": 2478, + "na": 2479, + "._": 2480, + "ĠĠĠĠĠĠĠĠĠĠĠĠ": 2481, + "array": 2482, + "ä¸ŃåĽ½": 2483, + "âĢ¦": 2484, + "Ġlow": 2485, + "beta": 2486, + "Ġhaving": 2487, + "ĠSc": 2488, + "æ»": 2489, + "pose": 2490, + "Ġfre": 2491, + "atter": 2492, + "list": 2493, + "Ġvoid": 2494, + "Ġbas": 2495, + "Ġprom": 2496, + "ĠÐIJ": 2497, + "Ġdays": 2498, + "Ġreport": 2499, + "æīĵ": 2500, + "åĪ«": 2501, + "sigma": 2502, + "Ġquestion": 2503, + "aven": 2504, + "DE": 2505, + "itive": 2506, + "Ġspace": 2507, + "Ġdepend": 2508, + "ploy": 2509, + "alf": 2510, + "translation": 2511, + "oney": 2512, + "强": 2513, + "Ġcommand": 2514, + "Ġfalse": 2515, + "Ġenough": 2516, + "交": 2517, + "ponse": 2518, + "Ġprote": 2519, + "buntu": 2520, + "gl": 2521, + "ä»·": 2522, + "计": 2523, + "!\"": 2524, + "Ġevent": 2525, + "vern": 2526, + "px": 2527, + "éª": 2528, + "éĵ": 2529, + "IC": 2530, + "ister": 2531, + "å°ij": 2532, + "ium": 2533, + "ret": 2534, + "äºĮ": 2535, + "II": 2536, + "ĠMar": 2537, + "Ġ(\\": 2538, + "ards": 2539, + "线": 2540, + "*}": 2541, + "зи": 2542, + "åŀ": 2543, + "Ġgrow": 2544, + "Ġsum": 2545, + "ç¦": 2546, + "Ġteam": 2547, + "Ġhouse": 2548, + "pm": 2549, + "æĤ": 2550, + "Ġonce": 2551, + "Ġweek": 2552, + "Ġroom": 2553, + "Ġrepresent": 2554, + "roid": 2555, + "è£": 2556, + "Ġbig": 2557, + "iron": 2558, + "Ġcertain": 2559, + "ape": 2560, + "Ġalready": 2561, + "ències": 2562, + "Ġго": 2563, + "that": 2564, + "ç¨ĭ": 2565, + "ĠSp": 2566, + "Ġshort": 2567, + "ä¸ĩ": 2568, + "Ġunderstand": 2569, + "ler": 2570, + "使": 2571, + "lu": 2572, + "ination": 2573, + "bt": 2574, + "ĠAmer": 2575, + "includ": 2576, + "irt": 2577, + "é»": 2578, + "ples": 2579, + "Ġparticular": 2580, + "mathrm": 2581, + "Ġgroup": 2582, + "\");": 2583, + "pond": 2584, + "AC": 2585, + "itional": 2586, + "action": 2587, + "iles": 2588, + "my": 2589, + "她": 2590, + "Ġtimes": 2591, + "Ġlot": 2592, + "Ġorgan": 2593, + "Ġcreate": 2594, + "Ġcompany": 2595, + "ĠThat": 2596, + "ĠPr": 2597, + "ĠAd": 2598, + "åıĹ": 2599, + "string": 2600, + "æİ¥": 2601, + "èī²": 2602, + "åİŁ": 2603, + "ĠUS": 2604, + "Ġfamily": 2605, + "Ġyet": 2606, + "rc": 2607, + "Col": 2608, + "ession": 2609, + "Ġpay": 2610, + "ended": 2611, + "Ġgame": 2612, + "ÑĢÑĥ": 2613, + "indows": 2614, + "Ġversion": 2615, + "èĻ": 2616, + "Ġcourse": 2617, + "Ġmus": 2618, + "Ġexc": 2619, + "ground": 2620, + "ilar": 2621, + "æĮģ": 2622, + "af": 2623, + "Ġsuccess": 2624, + "Ġben": 2625, + "наÑĤа": 2626, + "Ġexist": 2627, + "What": 2628, + "Ġret": 2629, + "Ġwhy": 2630, + "Ġu": 2631, + "Ġuntil": 2632, + "Ġmor": 2633, + "Ġever": 2634, + "sq": 2635, + "outh": 2636, + "Ġrespect": 2637, + "itch": 2638, + "Ġnight": 2639, + "Ġaccount": 2640, + "头": 2641, + "é£İ": 2642, + "åIJij": 2643, + "ĠPh": 2644, + "Ġsat": 2645, + "æĶ¾": 2646, + "umber": 2647, + "ius": 2648, + "Ġstring": 2649, + "script": 2650, + "羣": 2651, + "ox": 2652, + "åįģ": 2653, + "æį®": 2654, + "аÑĢ": 2655, + "Ġelect": 2656, + "ador": 2657, + "opy": 2658, + "åĽŀ": 2659, + "ĠLe": 2660, + "Ġwent": 2661, + "********": 2662, + "ription": 2663, + "Ġuser": 2664, + "========": 2665, + "iter": 2666, + "Ġfore": 2667, + "å·¥ä½ľ": 2668, + "ĠMy": 2669, + "Ġbit": 2670, + "缴": 2671, + "Ġfour": 2672, + "ç»ĵ": 2673, + "word": 2674, + "Ġcontrol": 2675, + "]{": 2676, + "æ¯ı": 2677, + "ero": 2678, + "aken": 2679, + "istr": 2680, + "Ġworking": 2681, + "Ġschool": 2682, + "èĩ³": 2683, + "Ġbeg": 2684, + "æľį": 2685, + "åıĺ": 2686, + "åŁº": 2687, + "ĠÂ": 2688, + "å¤Ħ": 2689, + "Ġtyp": 2690, + "Ġmot": 2691, + "gamma": 2692, + "ĠUbuntu": 2693, + "ients": 2694, + "Ob": 2695, + "ffic": 2696, + "Ġlooking": 2697, + "Ġcomput": 2698, + "hing": 2699, + "aterial": 2700, + "arrow": 2701, + "ĠТ": 2702, + "æĬĬ": 2703, + "By": 2704, + "],": 2705, + "atures": 2706, + "ĠÑĤ": 2707, + "ones": 2708, + "Ġworks": 2709, + "ique": 2710, + "ci": 2711, + "}{\\": 2712, + "IS": 2713, + "Data": 2714, + "Ġalong": 2715, + "side": 2716, + "aring": 2717, + "ES": 2718, + "ping": 2719, + "¥¿": 2720, + "Ġselect": 2721, + "ories": 2722, + "ley": 2723, + "ls": 2724, + "Ġдо": 2725, + "ording": 2726, + "Ġgovern": 2727, + "lem": 2728, + "Ġident": 2729, + "ĠRes": 2730, + "Ġarg": 2731, + "è´¨": 2732, + "ips": 2733, + "ан": 2734, + "ĠBe": 2735, + "Ġexp": 2736, + "ĠÐĶ": 2737, + "ION": 2738, + "举": 2739, + "Ġprivate": 2740, + "Ġoften": 2741, + "Ġlaw": 2742, + "Ġleast": 2743, + "ĠCan": 2744, + "iver": 2745, + "éľĢ": 2746, + "Ġleg": 2747, + "ura": 2748, + "éĿŀ": 2749, + "urs": 2750, + "Ġlay": 2751, + "Ġeng": 2752, + "Ġmind": 2753, + "vol": 2754, + "urther": 2755, + "ormal": 2756, + "ajor": 2757, + "Ph": 2758, + "ills": 2759, + "ĠGod": 2760, + "ón": 2761, + "åįķ": 2762, + "{(": 2763, + "Ġprovide": 2764, + "åIJĦ": 2765, + "æµ·": 2766, + "Re": 2767, + "orth": 2768, + "Ñģи": 2769, + "\".": 2770, + "Ġmoment": 2771, + "rip": 2772, + "Ġinput": 2773, + "HE": 2774, + "Ġexperience": 2775, + "Ġhold": 2776, + "Ġshall": 2777, + "OT": 2778, + "ubuntu": 2779, + "æĶ¶": 2780, + "sec": 2781, + "mp": 2782, + "ocial": 2783, + "Ġstruct": 2784, + "now": 2785, + "ĠпÑĢо": 2786, + "西": 2787, + "Ġmag": 2788, + "ĠBl": 2789, + "Ġparamet": 2790, + "posed": 2791, + "Ġhealth": 2792, + "ĠAt": 2793, + "ĠÑģа": 2794, + "mit": 2795, + "Ġreason": 2796, + "ĠMan": 2797, + "mb": 2798, + "éŨ": 2799, + "file": 2800, + "æĬĢ": 2801, + "ohn": 2802, + "ista": 2803, + "åħ¬åı¸": 2804, + "Ġsingle": 2805, + "test": 2806, + "Ġeither": 2807, + "How": 2808, + "rror": 2809, + "Ġwrit": 2810, + "Ġinit": 2811, + "Ġyoung": 2812, + "ogle": 2813, + "Ġmill": 2814, + "Ġseen": 2815, + "Ġoutput": 2816, + "åı£": 2817, + "];": 2818, + "åĨį": 2819, + "aph": 2820, + "udo": 2821, + "itud": 2822, + "Ġsever": 2823, + "value": 2824, + "iod": 2825, + "Un": 2826, + "inst": 2827, + "\":": 2828, + "Ġsoft": 2829, + "до": 2830, + "AP": 2831, + "rho": 2832, + "Ġsuper": 2833, + "const": 2834, + "Ġdoesn": 2835, + "Ġansw": 2836, + "Ġincluding": 2837, + "leq": 2838, + "wards": 2839, + "ниÑĤе": 2840, + "gether": 2841, + "Ġbased": 2842, + "Ġtogether": 2843, + "ouble": 2844, + "Ġexpress": 2845, + "delta": 2846, + "æĶ¿": 2847, + "do": 2848, + "Ġitem": 2849, + "$$": 2850, + "order": 2851, + "ification": 2852, + "Ġenerg": 2853, + "ï": 2854, + "acions": 2855, + "Ġhi": 2856, + "ambé": 2857, + "iving": 2858, + "ència": 2859, + "ivity": 2860, + "Ġне": 2861, + "ĠCar": 2862, + "çĪ±": 2863, + "ü": 2864, + "ideo": 2865, + "Ġfix": 2866, + "Ġbelow": 2867, + "sel": 2868, + "éĻ¢": 2869, + "件": 2870, + "big": 2871, + "Ġpast": 2872, + "Ġmaking": 2873, + "oman": 2874, + "lib": 2875, + "å²": 2876, + "æł¼": 2877, + "La": 2878, + "æľ¯": 2879, + "çĶ±": 2880, + "ĠGu": 2881, + "Ġmarket": 2882, + "ÑģÑĤа": 2883, + "ored": 2884, + "Ġsitu": 2885, + "fort": 2886, + "leg": 2887, + "åķĨ": 2888, + "incip": 2889, + "Ġclos": 2890, + "âĢĺ": 2891, + "ales": 2892, + "Ġobtain": 2893, + "ources": 2894, + "Ġera": 2895, + "æĢ»": 2896, + "æµģ": 2897, + "body": 2898, + "theta": 2899, + "ĠÐĿ": 2900, + "ai": 2901, + "è¿Ļ个": 2902, + "åĢĻ": 2903, + "ican": 2904, + "ÑģÑĤи": 2905, + "Ġalt": 2906, + "Ġcorrect": 2907, + "search": 2908, + "ules": 2909, + "On": 2910, + "ä»»": 2911, + "Ġcomplet": 2912, + "acy": 2913, + "Ġlik": 2914, + "time": 2915, + "Ġcomb": 2916, + "ĠThen": 2917, + "Ġmass": 2918, + "ä»Ĭ": 2919, + "angu": 2920, + "Ġinvest": 2921, + "table": 2922, + "Ġоб": 2923, + "è¿IJ": 2924, + "tau": 2925, + "Ġphot": 2926, + "Ġmove": 2927, + "Ġenv": 2928, + "ids": 2929, + "è±": 2930, + "ulation": 2931, + "refore": 2932, + "Value": 2933, + "ĠUnivers": 2934, + "åŃ©": 2935, + "Ġpract": 2936, + "uro": 2937, + "ymbol": 2938, + "sk": 2939, + "æ®": 2940, + "Ġhtt": 2941, + "ened": 2942, + "Ġstrong": 2943, + "ĉif": 2944, + "æīį": 2945, + "Ġrepl": 2946, + "dev": 2947, + "There": 2948, + "ched": 2949, + "带": 2950, + "OS": 2951, + "ç§ij": 2952, + "Ġhig": 2953, + "éĢł": 2954, + "una": 2955, + "Ġ&&": 2956, + "Ġentre": 2957, + "Ġpob": 2958, + "off": 2959, + "Ġsays": 2960, + "Ġseveral": 2961, + "Sh": 2962, + "Ġbreak": 2963, + "Set": 2964, + "aim": 2965, + "Ġsimple": 2966, + "Ġcannot": 2967, + "iques": 2968, + "times": 2969, + "empt": 2970, + "Ġredu": 2971, + "Ġmeet": 2972, + "que": 2973, + "Ġcode": 2974, + "].": 2975, + "Ġdest": 2976, + "Ġrequire": 2977, + "æ±Ĥ": 2978, + "////": 2979, + "ĠWith": 2980, + "ams": 2981, + "Ġnecess": 2982, + "Ġaddress": 2983, + "Ġcas": 2984, + "åħĪ": 2985, + "Ġheart": 2986, + "Ġdiv": 2987, + "Ġfut": 2988, + "Ġwhole": 2989, + "ump": 2990, + "erències": 2991, + "ocus": 2992, + "uration": 2993, + "aint": 2994, + "init": 2995, + "cle": 2996, + "Ġdeterm": 2997, + "ès": 2998, + "å±±": 2999, + "nu": 3000, + "Ġnothing": 3001, + "è®°": 3002, + "ĉ//": 3003, + "Im": 3004, + "ison": 3005, + "éĢī": 3006, + "idual": 3007, + "CO": 3008, + "bu": 3009, + "Ġimpro": 3010, + "Ġchildren": 3011, + "ĠChrist": 3012, + "认": 3013, + "iar": 3014, + "Ġ?": 3015, + "ĠÑģи": 3016, + "size": 3017, + "Ġ%": 3018, + "Ġonline": 3019, + "tes": 3020, + "arning": 3021, + "æ¼": 3022, + "!!": 3023, + "Ġpage": 3024, + "ury": 3025, + "rodu": 3026, + "па": 3027, + "Ġspecial": 3028, + "Ġvalues": 3029, + "å¸Ī": 3030, + "导": 3031, + "Ġcolor": 3032, + "ene": 3033, + "Ġmax": 3034, + "ailed": 3035, + "Ġarea": 3036, + "æĬ¥": 3037, + "åŁİ": 3038, + "è°ĥ": 3039, + "eqref": 3040, + "Ġspecific": 3041, + "Ġmoney": 3042, + "ĠPer": 3043, + "åŀĭ": 3044, + "}(\\": 3045, + "arr": 3046, + "èİ": 3047, + "Ġface": 3048, + "Ġcontinu": 3049, + "Ġtook": 3050, + "è§Ħ": 3051, + "oud": 3052, + "Ġcommon": 3053, + "åĮ»": 3054, + "Ġsound": 3055, + "å¢ŀ": 3056, + "ĠBr": 3057, + "Ġstop": 3058, + "Ġlearn": 3059, + "Ġothers": 3060, + "Ġwords": 3061, + "Ġred": 3062, + "Ġtalk": 3063, + "ising": 3064, + "åĶ": 3065, + "Ġsense": 3066, + "Ġcreat": 3067, + "Ġbound": 3068, + "sm": 3069, + "è¯Ŀ": 3070, + "Ġsimilar": 3071, + "Ġpel": 3072, + "Ġcountry": 3073, + "anks": 3074, + "ball": 3075, + "Ġpath": 3076, + "ç«ĭ": 3077, + "Ġsugg": 3078, + "å®Į": 3079, + "ä»Ģ": 3080, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 3081, + "Ġcontent": 3082, + "æº": 3083, + "级": 3084, + "èĮ": 3085, + "ung": 3086, + ".)": 3087, + "rix": 3088, + "ino": 3089, + "пи": 3090, + "ians": 3091, + "Ġrequest": 3092, + "è´¹": 3093, + "åĽłä¸º": 3094, + "Ġabs": 3095, + "imal": 3096, + "за": 3097, + "Is": 3098, + "Ġhowever": 3099, + "Ġjob": 3100, + "mat": 3101, + "Ġland": 3102, + "å½±": 3103, + "ending": 3104, + "æŶåĢĻ": 3105, + "Get": 3106, + "Ġdom": 3107, + "Ġalg": 3108, + "une": 3109, + "Ġbody": 3110, + "ĠпÑĢи": 3111, + "Ġdescrib": 3112, + "ĠPar": 3113, + "åıĪ": 3114, + "Ġsuggest": 3115, + "容": 3116, + "Ġsource": 3117, + "ÑģÑĤо": 3118, + "ĠDo": 3119, + "Ġvolt": 3120, + "atural": 3121, + "color": 3122, + "Referències": 3123, + "resh": 3124, + "ĠTe": 3125, + "ä¼ł": 3126, + "So": 3127, + "é¥": 3128, + "èģĶ": 3129, + "ĠQu": 3130, + "ension": 3131, + "xi": 3132, + "Ġmajor": 3133, + "éĺŁ": 3134, + "å¦Ĥæŀľ": 3135, + "partial": 3136, + "ĠĠĠĠĠĠĠĠĠĠ": 3137, + "Ġquite": 3138, + "ä»Ģä¹Ī": 3139, + "View": 3140, + "æķĪ": 3141, + "åįĹ": 3142, + "Ñģе": 3143, + "ained": 3144, + "ä¸ĵ": 3145, + "AS": 3146, + "Ġobserv": 3147, + "æķ´": 3148, + "ĠHowever": 3149, + "\";": 3150, + "æ¸ħ": 3151, + "omega": 3152, + "fty": 3153, + "from": 3154, + "Ġenergy": 3155, + "Ġesc": 3156, + "agement": 3157, + "æłĩ": 3158, + "ä¸ĸ": 3159, + "Ġrange": 3160, + "Or": 3161, + "Ġtw": 3162, + "èħ": 3163, + "iction": 3164, + "çĹħ": 3165, + "ured": 3166, + "Ġhimself": 3167, + "mand": 3168, + "room": 3169, + "лÑı": 3170, + "Ġcamp": 3171, + "è¾¾": 3172, + "irm": 3173, + "Ġknown": 3174, + "omet": 3175, + "æĪĺ": 3176, + "ued": 3177, + "æŶéĹ´": 3178, + "Ġmakes": 3179, + "Ġconc": 3180, + "ences": 3181, + "Ġfiles": 3182, + "));": 3183, + "çħ": 3184, + "position": 3185, + "rows": 3186, + "示": 3187, + "Ġcharacter": 3188, + "fully": 3189, + "ä»ĸ们": 3190, + "绣": 3191, + "Ġwhether": 3192, + "Ġpod": 3193, + "light": 3194, + "AD": 3195, + "Ġair": 3196, + "Ġbeaut": 3197, + "Ap": 3198, + "Se": 3199, + "èĬ±": 3200, + "该": 3201, + "åĪĽ": 3202, + "cm": 3203, + "['": 3204, + "ba": 3205, + "Ġespec": 3206, + "Ġdoing": 3207, + "èĬĤ": 3208, + "With": 3209, + "Ġindiv": 3210, + "Ġhalf": 3211, + "Ġtotal": 3212, + "Ġperfect": 3213, + "rt": 3214, + "icro": 3215, + "è¿ij": 3216, + "ÑĬÑĤ": 3217, + "Ġvisit": 3218, + "UT": 3219, + "IM": 3220, + "No": 3221, + "book": 3222, + "Ġals": 3223, + "Wh": 3224, + "oll": 3225, + "Ġaquest": 3226, + "aged": 3227, + "åı°": 3228, + "С": 3229, + "nection": 3230, + "ä¼ģ": 3231, + "Ġeasy": 3232, + "Ġacross": 3233, + "ival": 3234, + "Ġservices": 3235, + "åĩł": 3236, + "Ġvi": 3237, + "ches": 3238, + "Ġstre": 3239, + "Ġbase": 3240, + "Ġbar": 3241, + "ĠÐł": 3242, + "ÐŁ": 3243, + "Ġear": 3244, + "Ġidea": 3245, + "è¯ģ": 3246, + "гÑĢа": 3247, + "Ġbecome": 3248, + "which": 3249, + "aced": 3250, + "Ġamong": 3251, + "ols": 3252, + "Ġdue": 3253, + "joy": 3254, + "Ġrunning": 3255, + "æĪ¿": 3256, + "Ġanything": 3257, + "Ġmeasure": 3258, + "Ġrather": 3259, + "æ¶Ī": 3260, + "path": 3261, + "ĠCent": 3262, + "utes": 3263, + "Ġneeds": 3264, + "ilt": 3265, + "çļĦ人": 3266, + "field": 3267, + "quad": 3268, + "Ġflo": 3269, + "ĠString": 3270, + "Ġcaus": 3271, + "Ġprincip": 3272, + "åĦ": 3273, + "When": 3274, + "Ġtrad": 3275, + "Ġfav": 3276, + "项": 3277, + "Ġfill": 3278, + "Ġden": 3279, + "Ġfa": 3280, + "ney": 3281, + "ÑĢиÑı": 3282, + "Ind": 3283, + "Mod": 3284, + "çĻ½": 3285, + "Ġposition": 3286, + "ç²¾": 3287, + "社": 3288, + "Ġsite": 3289, + "Ġdiscuss": 3290, + "space": 3291, + "å½¢": 3292, + "plement": 3293, + "Ġqual": 3294, + "Ġalmost": 3295, + "è¾ĥ": 3296, + "mm": 3297, + "Ġlos": 3298, + "Ġload": 3299, + "书": 3300, + "All": 3301, + "lex": 3302, + "rs": 3303, + "tilde": 3304, + "Exception": 3305, + "Ġdidn": 3306, + "ĠÐĵ": 3307, + "Ġpaper": 3308, + "UR": 3309, + "Ġimage": 3310, + "ita": 3311, + "ĠJohn": 3312, + "Ġpress": 3313, + "Ġstatic": 3314, + "ÑĨиÑı": 3315, + "infty": 3316, + "è§Ĥ": 3317, + "Ġrad": 3318, + "ief": 3319, + "Ġnetwork": 3320, + "ze": 3321, + "ING": 3322, + "AB": 3323, + "æĮĩ": 3324, + "же": 3325, + "Ġimp": 3326, + "ural": 3327, + "è§ģ": 3328, + "Ġnear": 3329, + "空": 3330, + "mary": 3331, + "imum": 3332, + "Ġann": 3333, + "å®ĥ": 3334, + "çIJĥ": 3335, + "Ġseems": 3336, + "мо": 3337, + "rew": 3338, + "åıĭ": 3339, + "icial": 3340, + "Ġmaterial": 3341, + "Ġcontin": 3342, + "çĭ": 3343, + "function": 3344, + "èĢĥ": 3345, + "Ġdefault": 3346, + "though": 3347, + "Ġsearch": 3348, + "åıijå±ķ": 3349, + "Ġ/**": 3350, + "游": 3351, + "åĦ¿": 3352, + "Ġactually": 3353, + "rown": 3354, + "see": 3355, + "Ġhom": 3356, + "imate": 3357, + "\"\"": 3358, + "Ġcorres": 3359, + "ties": 3360, + "Ġrecord": 3361, + "Ġwebs": 3362, + "Qu": 3363, + "ĠÑĢе": 3364, + "åĽĽ": 3365, + "èµ°": 3366, + "ara": 3367, + "odes": 3368, + "igure": 3369, + "è¶Ĭ": 3370, + "Ġetc": 3371, + "åħī": 3372, + "Int": 3373, + "bit": 3374, + "pen": 3375, + "http": 3376, + "注": 3377, + "osp": 3378, + "ĠIN": 3379, + "åŃ©åŃIJ": 3380, + "Ġstyle": 3381, + "sim": 3382, + "Ġquick": 3383, + "è§ī": 3384, + "isf": 3385, + "urant": 3386, + "rain": 3387, + "CH": 3388, + "æ£": 3389, + "obal": 3390, + "icy": 3391, + "ÑģÑĤво": 3392, + "Ġtarget": 3393, + "ĠThese": 3394, + "å¿«": 3395, + "Ġdocument": 3396, + "icult": 3397, + "');": 3398, + "Ġclose": 3399, + "ators": 3400, + "ike": 3401, + "Ġsolution": 3402, + "Ġground": 3403, + "ĉreturn": 3404, + "asc": 3405, + "è¿Ľè¡Į": 3406, + "Ġcut": 3407, + "Ġfund": 3408, + "....": 3409, + "æ²»": 3410, + "Ġfood": 3411, + "Ġneg": 3412, + "eb": 3413, + "Ġrequired": 3414, + "rary": 3415, + "лед": 3416, + "Ġinclude": 3417, + "æĺĵ": 3418, + "Error": 3419, + "icon": 3420, + "Ġstudy": 3421, + "Ġblack": 3422, + "Ġaction": 3423, + "èĤ¡": 3424, + "gu": 3425, + "Ġgetting": 3426, + "Ġtaken": 3427, + "cció": 3428, + "Ġsoon": 3429, + "Delta": 3430, + "lim": 3431, + "çĬ": 3432, + "().": 3433, + "éĹ®é¢ĺ": 3434, + "ç»Ħ": 3435, + "Ġcomes": 3436, + "Ġindividual": 3437, + "Ġoptions": 3438, + "ervice": 3439, + "Object": 3440, + "æĪ·": 3441, + "ires": 3442, + "Ġstep": 3443, + "Ġgir": 3444, + "Ġflow": 3445, + "ibility": 3446, + "Ġconfig": 3447, + "Ġperiod": 3448, + "Ġtro": 3449, + "Ñĩи": 3450, + "è§Ĩ": 3451, + "Ġfall": 3452, + "iful": 3453, + "åĬŁ": 3454, + "Ġlater": 3455, + "Ġbuy": 3456, + "æݨ": 3457, + "ĠCont": 3458, + "ĠOne": 3459, + "åħ·": 3460, + "fl": 3461, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠ": 3462, + "Ġemploy": 3463, + "Ġoption": 3464, + "èµĽ": 3465, + "åĮĹ": 3466, + "elt": 3467, + "clus": 3468, + "atus": 3469, + "isk": 3470, + "ached": 3471, + "Ġpoints": 3472, + "Ġbegin": 3473, + "Ġhab": 3474, + "ruction": 3475, + "js": 3476, + "ram": 3477, + "ternal": 3478, + "location": 3479, + "бо": 3480, + "aving": 3481, + "raf": 3482, + "QL": 3483, + "ega": 3484, + "æĿ¡": 3485, + "lement": 3486, + "Ġmatter": 3487, + "ä¸Ķ": 3488, + "ĠSer": 3489, + "Ġsaw": 3490, + "abase": 3491, + "Ġtrying": 3492, + "Ġexact": 3493, + "ceed": 3494, + "Ġanswer": 3495, + "nb": 3496, + "Ġquality": 3497, + "inary": 3498, + "idd": 3499, + "Ñīа": 3500, + "Def": 3501, + "ĠEnglish": 3502, + "rup": 3503, + "ribute": 3504, + "æĶ¹": 3505, + "down": 3506, + "oke": 3507, + "ribution": 3508, + "åIJĥ": 3509, + "ça": 3510, + "Add": 3511, + "ĠAss": 3512, + "Ġresp": 3513, + "url": 3514, + "selves": 3515, + "Ġlive": 3516, + "ĠDes": 3517, + "æĬķ": 3518, + "Test": 3519, + "Ġartic": 3520, + "Ġshows": 3521, + "åıĸ": 3522, + "éļ¾": 3523, + "gress": 3524, + "太": 3525, + "ged": 3526, + "Ġtold": 3527, + "unch": 3528, + "ĠÑĢаз": 3529, + "Ġeyes": 3530, + "index": 3531, + "ç±»": 3532, + "Ġcompon": 3533, + "tings": 3534, + "Ġfac": 3535, + "Ġhot": 3536, + "Ġtambé": 3537, + "æ·±": 3538, + "Ġindic": 3539, + "empl": 3540, + "Ġл": 3541, + "ironment": 3542, + "lev": 3543, + "aff": 3544, + "cho": 3545, + "ster": 3546, + "cdot": 3547, + "olution": 3548, + "ving": 3549, + "ĠBy": 3550, + "ends": 3551, + "Ġ...": 3552, + "Ġlarg": 3553, + "At": 3554, + "æŃ¥": 3555, + "\\,": 3556, + "verage": 3557, + "Ġtoday": 3558, + "Ġfurther": 3559, + "ç¡®": 3560, + "Ġtreat": 3561, + "Ġder": 3562, + "ND": 3563, + "é£Ł": 3564, + "Ġsepar": 3565, + "public": 3566, + "itted": 3567, + "Ġexec": 3568, + "lay": 3569, + "Ġphys": 3570, + "orem": 3571, + "ĠEst": 3572, + "ç¥ŀ": 3573, + "Ġproperty": 3574, + "_,": 3575, + "####": 3576, + "Ġprevious": 3577, + "Ġpret": 3578, + "Ġmap": 3579, + "ä¸įæĺ¯": 3580, + "Ġorg": 3581, + "å¤ĩ": 3582, + "anguage": 3583, + "input": 3584, + "ns": 3585, + "å¾Īå¤ļ": 3586, + "link": 3587, + "ĠVal": 3588, + "Ġhor": 3589, + "ario": 3590, + "Ġгоди": 3591, + "Ġsubject": 3592, + "Ġmil": 3593, + "tab": 3594, + "å§ĭ": 3595, + "款": 3596, + "Ġmiss": 3597, + "转": 3598, + "|Ġ": 3599, + "æij": 3600, + "Ġsocial": 3601, + "ä¼ģä¸ļ": 3602, + "Ġinstead": 3603, + "oin": 3604, + "Ġissue": 3605, + "urch": 3606, + "çķĮ": 3607, + "igu": 3608, + "ux": 3609, + "èĤ²": 3610, + "ottom": 3611, + "comp": 3612, + "Ġassoci": 3613, + "abor": 3614, + "ando": 3615, + "uth": 3616, + "idence": 3617, + "ony": 3618, + "user": 3619, + "Ġoriginal": 3620, + "ograph": 3621, + "Ġbelieve": 3622, + "ä½Ĩæĺ¯": 3623, + "Ġlink": 3624, + "Ġasked": 3625, + "ĠMay": 3626, + "å·²ç»ı": 3627, + "Ġprint": 3628, + "åij¨": 3629, + "itten": 3630, + "é¢Ĩ": 3631, + "ells": 3632, + "iding": 3633, + "abled": 3634, + "Not": 3635, + "æ¹": 3636, + "medi": 3637, + "umer": 3638, + "ĠSystem": 3639, + "oon": 3640, + "å¸Ĥåľº": 3641, + "ĠÑĤо": 3642, + "Ġhope": 3643, + "è¿Ļæł·": 3644, + "Ġtried": 3645, + "Ġ///": 3646, + "ĠGo": 3647, + "US": 3648, + "ĠInst": 3649, + "Ġclear": 3650, + "Ġpref": 3651, + "pack": 3652, + "ÑĢÑĬ": 3653, + "IG": 3654, + "Ġwalk": 3655, + "prés": 3656, + "uments": 3657, + "}[": 3658, + "Ġtri": 3659, + "ä½ķ": 3660, + "åįİ": 3661, + "My": 3662, + "Ġsil": 3663, + "isc": 3664, + "Ġpersonal": 3665, + "ops": 3666, + "Class": 3667, + "ĠпÑĢез": 3668, + "Ġfuture": 3669, + "OM": 3670, + "Ġwhite": 3671, + "sup": 3672, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 3673, + "å¼ł": 3674, + "Ġoffer": 3675, + "']": 3676, + "èIJ¥": 3677, + "ĠNot": 3678, + "æħ": 3679, + "iu": 3680, + "FF": 3681, + "Ġpri": 3682, + "Ġindust": 3683, + "Ġstory": 3684, + "Ġeverything": 3685, + "Ġhost": 3686, + "Ġsignific": 3687, + "Ġelement": 3688, + "ĠChe": 3689, + "Ġdeg": 3690, + "ä¼ĺ": 3691, + "æ¢": 3692, + "Par": 3693, + "æīĢ以": 3694, + "Ġenjoy": 3695, + "Ġshown": 3696, + "Ġwrite": 3697, + "Ġserver": 3698, + "Ġdevice": 3699, + "åĩĨ": 3700, + "istic": 3701, + "raft": 3702, + "Ġpara": 3703, + "æģ¯": 3704, + "());": 3705, + "ä¹ł": 3706, + "Ġsens": 3707, + "Ġapplication": 3708, + "Ġsobre": 3709, + "ĠCal": 3710, + "utions": 3711, + "ogn": 3712, + "ula": 3713, + "Ġestab": 3714, + "eqn": 3715, + "Text": 3716, + "ĠInt": 3717, + "Ġcontact": 3718, + "ores": 3719, + "Ġill": 3720, + "å¸ĥ": 3721, + "广": 3722, + "Ġcontext": 3723, + "Ġsort": 3724, + "ĠSte": 3725, + "rid": 3726, + "ags": 3727, + "åħ±": 3728, + "wise": 3729, + "men": 3730, + "inux": 3731, + "ал": 3732, + "Ġamount": 3733, + "conom": 3734, + "Ġadded": 3735, + "éĢŁ": 3736, + "Ġprobably": 3737, + "çĥŃ": 3738, + "Ġpict": 3739, + "ĠSup": 3740, + "Ġspeak": 3741, + "}}\\": 3742, + "Ġcorrespond": 3743, + "Ġpa": 3744, + "ä¹IJ": 3745, + "Ġtitle": 3746, + "pace": 3747, + "åĬŀ": 3748, + "ledge": 3749, + "Ġindex": 3750, + "ĠEd": 3751, + "Ġvia": 3752, + "nbsp": 3753, + "aves": 3754, + "ĠкаÑĤо": 3755, + "Ġant": 3756, + "Ġterms": 3757, + "ä¹Łæĺ¯": 3758, + "éĽĨ": 3759, + "Ġpobl": 3760, + "ites": 3761, + "ÐĴ": 3762, + "åħ»": 3763, + "éħį": 3764, + "ĠÐŀ": 3765, + "Ġvoltage": 3766, + "Ġweb": 3767, + "Ġcontain": 3768, + "æĶ¯": 3769, + "éŁ": 3770, + "Ġreview": 3771, + "point": 3772, + "Ġens": 3773, + "fra": 3774, + "Ġcity": 3775, + "ands": 3776, + "Ġpred": 3777, + "Ġsi": 3778, + "Ġperformance": 3779, + "Ġbring": 3780, + "ha": 3781, + "Ġmach": 3782, + "asing": 3783, + "Ġhavia": 3784, + "Ġdrive": 3785, + "Ġdisplay": 3786, + "Ġexam": 3787, + "rel": 3788, + "ysis": 3789, + "Key": 3790, + "Ġess": 3791, + "Ġfeatures": 3792, + "Ġstarted": 3793, + "Ġbad": 3794, + "Ġhuman": 3795, + "éĺ²": 3796, + "rite": 3797, + "Ġfocus": 3798, + "rec": 3799, + "mega": 3800, + "è£ħ": 3801, + "haps": 3802, + "åĨ³": 3803, + "Ġbenef": 3804, + "ustr": 3805, + "Ġprop": 3806, + "åıį": 3807, + "ване": 3808, + "board": 3809, + "Ġhours": 3810, + "Ġdeal": 3811, + "Ġcolumn": 3812, + "ĠGe": 3813, + "Ġwait": 3814, + "åĮħ": 3815, + "Ġfrequ": 3816, + "ги": 3817, + "uf": 3818, + "lished": 3819, + "Ġpor": 3820, + "ĠÐĺ": 3821, + "ç»Ń": 3822, + "ició": 3823, + "ULL": 3824, + "Ġpie": 3825, + "å¤į": 3826, + "ció": 3827, + "Ġprofess": 3828, + "Ġstudents": 3829, + "ваÑĤ": 3830, + "ĠÃ": 3831, + "Ġple": 3832, + "Ġwomen": 3833, + "Ġintegr": 3834, + "ä½İ": 3835, + "sl": 3836, + "ĠHis": 3837, + "Ġintrodu": 3838, + "Ġblock": 3839, + "çĶŁæ´»": 3840, + "åĥ": 3841, + "Ġbed": 3842, + "æł¡": 3843, + "Ġauthor": 3844, + "Man": 3845, + "ellow": 3846, + "客": 3847, + "Ġinvol": 3848, + "Ġwonder": 3849, + "Ġmol": 3850, + "Ġcases": 3851, + "пе": 3852, + "Ġfront": 3853, + "ĠCor": 3854, + "PE": 3855, + "ports": 3856, + "Ġarray": 3857, + "ĠCo": 3858, + "perty": 3859, + "Ġhigher": 3860, + "bed": 3861, + "æ¨": 3862, + "Ġactiv": 3863, + "Ġsem": 3864, + "ection": 3865, + "Ġsatisf": 3866, + "å±Ģ": 3867, + "++": 3868, + "ias": 3869, + "çª": 3870, + "};": 3871, + "Ġparent": 3872, + "åı¯èĥ½": 3873, + "è¿ĺæĺ¯": 3874, + "Ġcrit": 3875, + "Requ": 3876, + "Ġautom": 3877, + "马": 3878, + "Ġresist": 3879, + "itting": 3880, + "Ġnatural": 3881, + "File": 3882, + "olds": 3883, + "åĢ¼": 3884, + "Ġwin": 3885, + "Ġsection": 3886, + "lia": 3887, + "Ġproducts": 3888, + "Ġsomeone": 3889, + "Ġaccept": 3890, + "oper": 3891, + "âĶ": 3892, + "Ġquant": 3893, + "ii": 3894, + "ĠFl": 3895, + "urope": 3896, + "æĿĥ": 3897, + "xim": 3898, + "èı": 3899, + "ouch": 3900, + "TER": 3901, + "Ġdire": 3902, + "Ġentire": 3903, + "Time": 3904, + "Ġvideo": 3905, + "Ġdifficult": 3906, + "TR": 3907, + "æľª": 3908, + "iple": 3909, + "Ġclean": 3910, + "Ġwebsite": 3911, + "group": 3912, + "Ġearly": 3913, + "æIJ": 3914, + "Ġsimply": 3915, + "Ġlower": 3916, + "çīĩ": 3917, + "enn": 3918, + "oad": 3919, + "roller": 3920, + "æºIJ": 3921, + "å®Ŀ": 3922, + "Ġrate": 3923, + "ounc": 3924, + "ĠÐĽ": 3925, + "åĪĻ": 3926, + ":\"": 3927, + "Ġcomplete": 3928, + "ĠMed": 3929, + "Ġinstance": 3930, + "Ġfou": 3931, + "LO": 3932, + "ĠвÑĬ": 3933, + "df": 3934, + "Ġlimit": 3935, + "Ġvarious": 3936, + "æĺ¾": 3937, + "Ġarch": 3938, + "Ġtaking": 3939, + "åĬ¿": 3940, + "红": 3941, + "nav": 3942, + "urg": 3943, + "Ġapproach": 3944, + "ilities": 3945, + "Ġcalcul": 3946, + "Ġsche": 3947, + "ĠLet": 3948, + "LA": 3949, + "Ġhon": 3950, + "è¶ħ": 3951, + "Ġitself": 3952, + "Ġmessage": 3953, + "çݯ": 3954, + "便": 3955, + "Ġpotential": 3956, + "mar": 3957, + "å¨": 3958, + "https": 3959, + "Ġlength": 3960, + "би": 3961, + "论": 3962, + "ui": 3963, + "Ġappear": 3964, + "Ġresearch": 3965, + "max": 3966, + "Ġupdate": 3967, + "Omega": 3968, + "åĨµ": 3969, + "orld": 3970, + "éĻ¤": 3971, + "Ġinstalled": 3972, + "Ġcult": 3973, + "lÃŃ": 3974, + "yl": 3975, + "was": 3976, + "åıĤ": 3977, + "çľģ": 3978, + "æĴ": 3979, + "ĠReg": 3980, + "Ġcard": 3981, + "çİĭ": 3982, + "eral": 3983, + "Ġfriends": 3984, + "åįĩ": 3985, + "Ġmembers": 3986, + "Sc": 3987, + "iet": 3988, + "æļ": 3989, + "Ġutil": 3990, + "ä¼Ĺ": 3991, + "sequ": 3992, + "inition": 3993, + "fer": 3994, + "åį³": 3995, + "ATE": 3996, + "ÑĥÑĢ": 3997, + "ening": 3998, + "itude": 3999, + "éľĢè¦ģ": 4000, + "Inst": 4001, + "ender": 4002, + "Ġcreated": 4003, + "mission": 4004, + "Ġcompet": 4005, + "like": 4006, + "çłĶ": 4007, + "map": 4008, + "oice": 4009, + "ÑĬлга": 4010, + "æĢģ": 4011, + "ij": 4012, + "!--": 4013, + "error": 4014, + "That": 4015, + "py": 4016, + "node": 4017, + "Ġeduc": 4018, + "Ġrecomm": 4019, + "ios": 4020, + "åĨĽ": 4021, + "Ġdownload": 4022, + "andom": 4023, + "ÃŃt": 4024, + "lt": 4025, + "Ġfine": 4026, + "Ġmusic": 4027, + "åĬ©": 4028, + "æł¹": 4029, + "epsilon": 4030, + "Ġang": 4031, + "äºĶ": 4032, + "Ġfire": 4033, + "From": 4034, + "å¹²": 4035, + "ync": 4036, + "Ġfive": 4037, + "Ġpers": 4038, + "dom": 4039, + "ĠÑĤе": 4040, + "textbf": 4041, + "capt": 4042, + "ena": 4043, + "èc": 4044, + "Ġhands": 4045, + "overed": 4046, + "Ñīе": 4047, + "Ġnormal": 4048, + "ĠUniversity": 4049, + "inks": 4050, + "Ġде": 4051, + "Ġexpected": 4052, + "____": 4053, + "Ġminutes": 4054, + "}_{\\": 4055, + "amed": 4056, + "';": 4057, + "Ġplease": 4058, + "Ġneeded": 4059, + "ä¾Ľ": 4060, + "å¼ķ": 4061, + "Ġwindow": 4062, + "åijĬ": 4063, + "Ñģа": 4064, + "ĠSant": 4065, + "raphics": 4066, + "æľįåĬ¡": 4067, + "Ġseries": 4068, + "Ġround": 4069, + "mber": 4070, + "Ġconstant": 4071, + "IP": 4072, + "Ġsal": 4073, + "Ġago": 4074, + "Ġbox": 4075, + "ĠIm": 4076, + "Ġhttp": 4077, + "Ġprotect": 4078, + "Ġge": 4079, + "é¦ĸ": 4080, + "uly": 4081, + "length": 4082, + "æŁ¥": 4083, + "=Ġ": 4084, + "(),": 4085, + "ises": 4086, + "Ġmodels": 4087, + "人çļĦ": 4088, + "Ġcondition": 4089, + "Ġaud": 4090, + "Ġsud": 4091, + "Ġheard": 4092, + "leep": 4093, + "Ġcompan": 4094, + "Ġperò": 4095, + "astic": 4096, + "ils": 4097, + "èĩªå·±çļĦ": 4098, + "Ġste": 4099, + "Ġdrop": 4100, + "come": 4101, + "åĥı": 4102, + "uns": 4103, + "Of": 4104, + "Ġprice": 4105, + "Ġmount": 4106, + "åĽ¾": 4107, + "Ġthus": 4108, + "hel": 4109, + "ÃŃs": 4110, + "æĢĿ": 4111, + "åĽ¢": 4112, + "Ġcommunity": 4113, + "ĠMac": 4114, + "ĠAmerican": 4115, + "çİ°åľ¨": 4116, + "æ¡Ī": 4117, + "Ad": 4118, + "Ñģко": 4119, + "éĿŀ常": 4120, + "Ġshare": 4121, + "ĠAfter": 4122, + "anced": 4123, + "lla": 4124, + "airs": 4125, + "Ġesp": 4126, + "Ġlooked": 4127, + "print": 4128, + "Ġlikely": 4129, + "config": 4130, + "Ġsoftware": 4131, + "ken": 4132, + "Ġregard": 4133, + "Ġbackground": 4134, + "ĠÑħ": 4135, + "满": 4136, + "Ġmother": 4137, + "Ġboot": 4138, + "大家": 4139, + "eneral": 4140, + "Ġscreen": 4141, + "éĥ½æĺ¯": 4142, + "足": 4143, + "Ġgraph": 4144, + "Event": 4145, + "Ġstay": 4146, + "www": 4147, + "çı": 4148, + "Ġextra": 4149, + "':": 4150, + "æĿij": 4151, + "Ġrelations": 4152, + "Ġfer": 4153, + "Let": 4154, + "orith": 4155, + "ging": 4156, + "ota": 4157, + "Ġdim": 4158, + "bin": 4159, + "Ġdoor": 4160, + "plied": 4161, + "Ġfeature": 4162, + "oken": 4163, + "Ġbeautiful": 4164, + "Ġlonger": 4165, + "ĠIntern": 4166, + "ĠĠ$": 4167, + "Ġmatch": 4168, + "under": 4169, + "çľ¼": 4170, + "ros": 4171, + "psilon": 4172, + "psi": 4173, + "Ġdig": 4174, + "å¿ħ": 4175, + "Ġstandard": 4176, + "Ġchanges": 4177, + "Ġtrack": 4178, + "db": 4179, + "Ġhol": 4180, + "just": 4181, + "Ġtraining": 4182, + "lock": 4183, + "çİĩ": 4184, + "oun": 4185, + "elling": 4186, + "ograf": 4187, + "Ġproblems": 4188, + "ĠPol": 4189, + "æĸĻ": 4190, + "''": 4191, + "èĩ´": 4192, + "Ġopport": 4193, + "段": 4194, + "ĠNow": 4195, + "ĠAb": 4196, + "rought": 4197, + "istes": 4198, + "Ġdevelopment": 4199, + "ya": 4200, + "Ġtemper": 4201, + "æİĴ": 4202, + "Ġfather": 4203, + "ama": 4204, + "çļĦæŶåĢĻ": 4205, + "Ġfins": 4206, + "Ġprec": 4207, + "ENT": 4208, + "you": 4209, + "Ġvers": 4210, + "çħ§": 4211, + "Ġdefined": 4212, + "Ġband": 4213, + "ä¹°": 4214, + "sqrt": 4215, + "ä½ı": 4216, + "Ġmonths": 4217, + "Ġparticip": 4218, + "Ġdos": 4219, + "ä»ħ": 4220, + "Ġach": 4221, + "ĠÐ¥": 4222, + "å¾Ģ": 4223, + "curity": 4224, + "ĠWill": 4225, + "ĠMe": 4226, + "Ġcross": 4227, + "irtual": 4228, + "Ġful": 4229, + "Ġwall": 4230, + "å©": 4231, + "Ġlat": 4232, + "ÑĢаÑĤ": 4233, + "çģ«": 4234, + "è¾¹": 4235, + "Ġpretty": 4236, + "Ġwoman": 4237, + "çĮ": 4238, + "PI": 4239, + "Ġdecl": 4240, + "count": 4241, + "Ġregular": 4242, + "aging": 4243, + "Ġsystems": 4244, + "Ġpan": 4245, + "Ġloss": 4246, + "ynam": 4247, + "result": 4248, + "åı·": 4249, + "nia": 4250, + "è¯Ĩ": 4251, + "Ġaw": 4252, + "ĠOur": 4253, + "cup": 4254, + "ĠDr": 4255, + "Ġnode": 4256, + "Ġisn": 4257, + "Ġво": 4258, + "ÑĨа": 4259, + "ĠWindows": 4260, + "åĻ": 4261, + "vare": 4262, + "nces": 4263, + "éļı": 4264, + "åį´": 4265, + "Ġson": 4266, + "æľĽ": 4267, + "æĬ¤": 4268, + "Ġsun": 4269, + "离": 4270, + "Ġleave": 4271, + "ML": 4272, + "irit": 4273, + "Ġprovided": 4274, + "é¾": 4275, + "sing": 4276, + "bm": 4277, + "Ġdate": 4278, + "more": 4279, + "Ġclick": 4280, + "Ġме": 4281, + "ĠAdd": 4282, + "Ġdetails": 4283, + "çļĦä¸Ģ": 4284, + "Ġweight": 4285, + "åĸľ": 4286, + "Ġcomplex": 4287, + "Ġaccording": 4288, + "Ġsym": 4289, + "Ġlines": 4290, + "ĠMin": 4291, + "Ðĺ": 4292, + "Ġdraw": 4293, + "subsection": 4294, + "ĠBo": 4295, + "Ġusually": 4296, + "Ġcause": 4297, + "Ġinitial": 4298, + "Ġfast": 4299, + "Ġforward": 4300, + "Ġquestions": 4301, + "fil": 4302, + "Ġremov": 4303, + "Ġactual": 4304, + "Ġaddition": 4305, + "Ġwhose": 4306, + "ourn": 4307, + "Ġpoblació": 4308, + "Ġcoming": 4309, + "rav": 4310, + "ĠÑĩе": 4311, + "åħĭ": 4312, + "umb": 4313, + "Ġseason": 4314, + "Ġstructure": 4315, + "ilder": 4316, + "Over": 4317, + "å¤Ł": 4318, + "éĢĤ": 4319, + "许": 4320, + "Ed": 4321, + "Ġdifference": 4322, + "caption": 4323, + "æ²¹": 4324, + "ora": 4325, + "Gamma": 4326, + "Ġrespons": 4327, + "éĢļè¿ĩ": 4328, + "Ġenvironment": 4329, + "Ġroot": 4330, + "kn": 4331, + "Ġhistory": 4332, + "hers": 4333, + "Ġnote": 4334, + "Ġsón": 4335, + "Ġwatch": 4336, + "Ġdeath": 4337, + "non": 4338, + "Ġclaim": 4339, + "Ġchoose": 4340, + "Ġimplement": 4341, + "Ġpick": 4342, + "eter": 4343, + "Ġfit": 4344, + "orage": 4345, + "Ġapply": 4346, + "Ġwrong": 4347, + "UN": 4348, + "åŃĺ": 4349, + "/*": 4350, + "Ġslow": 4351, + "urb": 4352, + "Ġmention": 4353, + "Ġgave": 4354, + "Ġmyself": 4355, + "çļĦæĺ¯": 4356, + "rad": 4357, + "cor": 4358, + "pres": 4359, + "izing": 4360, + "Ġparts": 4361, + "Ġnecessary": 4362, + "Ġ);": 4363, + "失": 4364, + "Ġimprove": 4365, + "Ġevents": 4366, + "igned": 4367, + "Ġgives": 4368, + "çĶ·": 4369, + "Ġcam": 4370, + "rim": 4371, + "orks": 4372, + "ĠPart": 4373, + "æĸ¯": 4374, + "Now": 4375, + "summary": 4376, + "can": 4377, + "annel": 4378, + "ners": 4379, + "æŀģ": 4380, + "è®®": 4381, + "éĻħ": 4382, + "eqnarray": 4383, + "~~": 4384, + "Ġri": 4385, + "Ġespecially": 4386, + "Ġdeep": 4387, + "Ġresponse": 4388, + "varepsilon": 4389, + "anger": 4390, + "Ġgovernment": 4391, + "Ġgen": 4392, + "nder": 4393, + "称": 4394, + "Item": 4395, + "ĠRep": 4396, + "Request": 4397, + "ай": 4398, + "iddle": 4399, + "åij½": 4400, + "Ġfoot": 4401, + "CE": 4402, + "åŃĹ": 4403, + "Ġpub": 4404, + "éªĮ": 4405, + "åĪ°äºĨ": 4406, + "efore": 4407, + "Ġmorning": 4408, + "Ġassert": 4409, + "style": 4410, + "Ġspect": 4411, + "约": 4412, + "Ġdark": 4413, + "ç´ł": 4414, + "ç±³": 4415, + "Ġwar": 4416, + "Ġassum": 4417, + "--------------------------------": 4418, + "ooth": 4419, + "ĠYork": 4420, + "ponent": 4421, + "Ġbehind": 4422, + "Fr": 4423, + "Ġknew": 4424, + "State": 4425, + "bor": 4426, + "Ñģо": 4427, + "Ġmode": 4428, + "terns": 4429, + "Ġthird": 4430, + "php": 4431, + "Ġfollows": 4432, + "Ġcapac": 4433, + "ç½®": 4434, + "è¡Ģ": 4435, + "Ġthemselves": 4436, + "å¼Ģå§ĭ": 4437, + "unicip": 4438, + "Ġpain": 4439, + "De": 4440, + "Do": 4441, + "象": 4442, + "Ġca": 4443, + "$Ġ": 4444, + "Ġwriting": 4445, + "Ġdam": 4446, + "Ġissues": 4447, + ".}": 4448, + "Ġfavor": 4449, + "ĠSet": 4450, + "ĠHere": 4451, + "æĸ½": 4452, + "vis": 4453, + "Ġplant": 4454, + "Ġно": 4455, + "Bu": 4456, + "Field": 4457, + "osa": 4458, + "ĠMon": 4459, + "Ġdiag": 4460, + "亿": 4461, + "Ġwritten": 4462, + "TE": 4463, + "ÑģкаÑĤа": 4464, + "uel": 4465, + "å·ŀ": 4466, + "egraphics": 4467, + "includegraphics": 4468, + "Ġconditions": 4469, + "IL": 4470, + "Element": 4471, + "å¢ĥ": 4472, + "Ġsix": 4473, + "Ġsignificant": 4474, + "Ġcopy": 4475, + "ministr": 4476, + "ĠGet": 4477, + "欢": 4478, + "Ġcoll": 4479, + "лÑĥ": 4480, + "true": 4481, + "æĸŃ": 4482, + "Form": 4483, + "Ġswe": 4484, + "Ġconsist": 4485, + "Ġtakes": 4486, + "plies": 4487, + "ola": 4488, + "Ġage": 4489, + "earch": 4490, + "ĠФ": 4491, + "Ġreceived": 4492, + "Ġpopular": 4493, + "Ġsn": 4494, + "æݧ": 4495, + "è¯ķ": 4496, + "ille": 4497, + "proof": 4498, + "sudo": 4499, + "Ġremain": 4500, + "Ġpurch": 4501, + "erra": 4502, + "è¿ŀ": 4503, + "used": 4504, + "Ġcircuit": 4505, + "ĠYour": 4506, + "ride": 4507, + "Le": 4508, + "Ġbuilding": 4509, + "tot": 4510, + "hab": 4511, + "Ġrelated": 4512, + "éĶĢ": 4513, + "Ġcred": 4514, + "Ġlearning": 4515, + "yd": 4516, + "oo": 4517, + "ici": 4518, + "Ġknowledge": 4519, + "Ġworth": 4520, + "ĠII": 4521, + "emph": 4522, + "Ðij": 4523, + "ady": 4524, + "ografia": 4525, + "cion": 4526, + "hib": 4527, + "\\{": 4528, + "Ġupd": 4529, + "Ġturned": 4530, + "Ġcomputer": 4531, + "ÑĢан": 4532, + "Ġci": 4533, + "object": 4534, + "Ġ/*": 4535, + "Ġ+Ġ": 4536, + "çĻ¾": 4537, + "PS": 4538, + "_.": 4539, + "ĠComp": 4540, + "ĠPa": 4541, + "po": 4542, + "Ġsus": 4543, + "cret": 4544, + "pri": 4545, + "){": 4546, + "æ¼Ķ": 4547, + "eed": 4548, + "Ġpet": 4549, + "Ġroad": 4550, + "åĵį": 4551, + "ĉĉĉĉĉ": 4552, + "èİ·": 4553, + "md": 4554, + "éĻIJ": 4555, + "è¨": 4556, + "ĠĠĠĠĠĠĠĠ$": 4557, + "Ġgrad": 4558, + "ĠмÑĥ": 4559, + "hand": 4560, + "Ġindepend": 4561, + "Ġmeaning": 4562, + "void": 4563, + "Ġfail": 4564, + "Ġwidth": 4565, + "Ġtherefore": 4566, + "请": 4567, + "des": 4568, + "Ġframe": 4569, + "rict": 4570, + "Ġwanted": 4571, + "ming": 4572, + "orts": 4573, + "Ġ});": 4574, + "Ġspeed": 4575, + "æµİ": 4576, + "Ġadditional": 4577, + "Ġheld": 4578, + "ĠNULL": 4579, + "Info": 4580, + "Map": 4581, + "Equ": 4582, + "roups": 4583, + "AG": 4584, + "éĴ±": 4585, + "ĠEurope": 4586, + "çŁ¥éģĵ": 4587, + "thon": 4588, + "åİĨ": 4589, + "Ġready": 4590, + "ca": 4591, + "ĠMore": 4592, + "ernel": 4593, + "olean": 4594, + "Ġ=Ġ$": 4595, + "cast": 4596, + "Ġstates": 4597, + "Ġmultiple": 4598, + "第ä¸Ģ": 4599, + "Ġliter": 4600, + "Node": 4601, + "abla": 4602, + "æĥħåĨµ": 4603, + "模": 4604, + "valid": 4605, + "Ġprovides": 4606, + "oph": 4607, + "Ġsave": 4608, + "place": 4609, + "ĠOb": 4610, + "éĺ³": 4611, + "ĠгÑĢа": 4612, + "She": 4613, + "Read": 4614, + "ĠÐķ": 4615, + "åĻ¨": 4616, + "ying": 4617, + "iting": 4618, + "illa": 4619, + "Ġment": 4620, + "Then": 4621, + "Up": 4622, + "Ġchall": 4623, + "su": 4624, + "åģ¥": 4625, + "мен": 4626, + "plication": 4627, + "产åĵģ": 4628, + "Ġvalid": 4629, + "ensive": 4630, + "ÑĢез": 4631, + "chi": 4632, + "ĠBar": 4633, + "idered": 4634, + "对äºİ": 4635, + "Ġpolit": 4636, + "Ġ},": 4637, + "Ġaccom": 4638, + "Ðł": 4639, + "Ġinside": 4640, + "verse": 4641, + "è½»": 4642, + "Ġfamil": 4643, + "Ñĩни": 4644, + "æĬĢæľ¯": 4645, + "è¨Ģ": 4646, + "fin": 4647, + "ĠAm": 4648, + "æŀĦ": 4649, + "Ġtown": 4650, + "Ġclient": 4651, + "Ġq": 4652, + "Ġimmedi": 4653, + "好çļĦ": 4654, + "icle": 4655, + "æĻ¯": 4656, + "å§Ķ": 4657, + "lege": 4658, + "iana": 4659, + "java": 4660, + "Ġeasily": 4661, + "çīĮ": 4662, + "select": 4663, + "ifier": 4664, + "Be": 4665, + "Ġ\\,": 4666, + "ç¢": 4667, + "åĭ": 4668, + "ensity": 4669, + "dt": 4670, + "Index": 4671, + "anch": 4672, + "Ġseus": 4673, + "è¿ĻäºĽ": 4674, + "Ġincrease": 4675, + "è´£": 4676, + ".'": 4677, + "Ġdou": 4678, + "center": 4679, + "ordin": 4680, + "积": 4681, + "Ġblog": 4682, + "())": 4683, + "mult": 4684, + "Ġsqu": 4685, + "``": 4686, + "api": 4687, + "atform": 4688, + "Ġinform": 4689, + "å¾·": 4690, + "Ġways": 4691, + "Ġhear": 4692, + "Path": 4693, + "Ġlanguage": 4694, + "ocs": 4695, + "itats": 4696, + "Ġparty": 4697, + "åĽ½å®¶": 4698, + "One": 4699, + "Ġtax": 4700, + "ç®Ĺ": 4701, + "Ġconnection": 4702, + "åıĮ": 4703, + "Ġlooks": 4704, + "Ġbecom": 4705, + "Ġarticle": 4706, + "ç»Ī": 4707, + "IR": 4708, + "plit": 4709, + "enty": 4710, + "Ġгодина": 4711, + "Ġdirectly": 4712, + "管çIJĨ": 4713, + "æĺŁ": 4714, + "Ġmis": 4715, + "Ġswitch": 4716, + "è¿ľ": 4717, + "Ġunique": 4718, + "Ġliving": 4719, + "Ġbegan": 4720, + "Ġcast": 4721, + "åĨľ": 4722, + "rupt": 4723, + "ç«Ļ": 4724, + "hood": 4725, + "Ġlost": 4726, + "é¢Ħ": 4727, + "Ġusers": 4728, + "ĠSm": 4729, + "Ġstore": 4730, + "èIJ½": 4731, + "Ġblo": 4732, + "Ġsec": 4733, + "ĠState": 4734, + "uk": 4735, + "Ġfelt": 4736, + "Ġassist": 4737, + "Ġanalysis": 4738, + "Pl": 4739, + "title": 4740, + "ĠSome": 4741, + "ден": 4742, + "Ġdesprés": 4743, + "Ġscript": 4744, + "Ent": 4745, + "æĹ©": 4746, + "Ġseemed": 4747, + "Ġremove": 4748, + "call": 4749, + "亲": 4750, + "escription": 4751, + "ĠfamÃŃ": 4752, + "Ġrecogn": 4753, + "undred": 4754, + "份": 4755, + "Ġsomet": 4756, + "Ġapt": 4757, + "Ġyourself": 4758, + "Ġfair": 4759, + "ĠGl": 4760, + "Ġnames": 4761, + "host": 4762, + "ĠCount": 4763, + "Ġdir": 4764, + "apter": 4765, + "ship": 4766, + "é»Ħ": 4767, + "Ġpackage": 4768, + "iam": 4769, + "士": 4770, + "æĸ¹éĿ¢": 4771, + "æ±Ł": 4772, + "大çļĦ": 4773, + "illed": 4774, + "Ġmethods": 4775, + "ught": 4776, + "Ġattempt": 4777, + "ĠPe": 4778, + "start": 4779, + "òria": 4780, + "ham": 4781, + "åĪĩ": 4782, + "ĠUnited": 4783, + "жа": 4784, + "Ġwish": 4785, + "next": 4786, + "geq": 4787, + "å¾®": 4788, + "ä¹ī": 4789, + "Ġ()": 4790, + "obile": 4791, + "ç»´": 4792, + "ĠDep": 4793, + "ä¸ĢäºĽ": 4794, + "åºķ": 4795, + "anya": 4796, + "Ġformat": 4797, + "ĠAct": 4798, + "inner": 4799, + "ĠFrom": 4800, + "iny": 4801, + "erent": 4802, + "ĠSim": 4803, + "oring": 4804, + "pass": 4805, + "gs": 4806, + "[]": 4807, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 4808, + "åIJĮæŶ": 4809, + "atives": 4810, + "Ġbehav": 4811, + "OD": 4812, + "Ġ~": 4813, + "Ġparameters": 4814, + "rangle": 4815, + "Ġinflu": 4816, + "Ġsend": 4817, + "Ġconsidered": 4818, + "Ġimag": 4819, + "rightarrow": 4820, + "hi": 4821, + "Ġcover": 4822, + "Ġbrought": 4823, + "pression": 4824, + "Ġsignal": 4825, + "iant": 4826, + "Ġж": 4827, + "Context": 4828, + "Ġwood": 4829, + "ding": 4830, + "lete": 4831, + "Ser": 4832, + "draw": 4833, + "Ġstrateg": 4834, + "Result": 4835, + "\"../../": 4836, + "éĩĩ": 4837, + "ç»Ĩ": 4838, + "acion": 4839, + "ocks": 4840, + "Ðļ": 4841, + "Ġsuff": 4842, + "New": 4843, + "ÐIJ": 4844, + "OL": 4845, + "gy": 4846, + "Ġboard": 4847, + "ÑģкиÑı": 4848, + "reate": 4849, + "Ġchoice": 4850, + "ĠMod": 4851, + "Ġattack": 4852, + "温": 4853, + "ÑĬн": 4854, + "Ġmedia": 4855, + "Ġpositive": 4856, + "京": 4857, + "Ġones": 4858, + "ĠRob": 4859, + "Ġaffect": 4860, + "ä¾Ŀ": 4861, + "Ġbal": 4862, + "Ġmachine": 4863, + "itect": 4864, + "change": 4865, + "Ġmillion": 4866, + "ä¸įèĥ½": 4867, + "Ġestim": 4868, + "Act": 4869, + "iva": 4870, + "Ġoutside": 4871, + "éĻ©": 4872, + "Ġcontinue": 4873, + "ĠJan": 4874, + "Ġtravel": 4875, + "Ġmemory": 4876, + "zz": 4877, + "default": 4878, + "quot": 4879, + "pty": 4880, + "nes": 4881, + "Ġord": 4882, + "ĠRec": 4883, + "parent": 4884, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 4885, + "Ġsubst": 4886, + "check": 4887, + "Here": 4888, + "Ġelements": 4889, + "çĸĹ": 4890, + "wid": 4891, + "Ġdatabase": 4892, + "Ġconnected": 4893, + "\\}": 4894, + "info": 4895, + "ĠĠĠĠĠĠĠĠĠĠ<": 4896, + "èŀ": 4897, + "Ġreading": 4898, + "boot": 4899, + "Ġfunctions": 4900, + "èĭ±": 4901, + "Ġnature": 4902, + "æĭī": 4903, + "based": 4904, + "Ġdriv": 4905, + "èį¯": 4906, + "base": 4907, + "èij": 4908, + "ateix": 4909, + "band": 4910, + "Ġnews": 4911, + "Ġpoor": 4912, + "Ġlocation": 4913, + "known": 4914, + "ĠCons": 4915, + "usr": 4916, + "Ġregion": 4917, + "Ġbuilt": 4918, + "/**": 4919, + "gen": 4920, + "ĠCap": 4921, + "ema": 4922, + "using": 4923, + "Ġeconom": 4924, + "Ġcommunic": 4925, + "Config": 4926, + "Ġsequ": 4927, + "ĠEm": 4928, + "aching": 4929, + "Ġmit": 4930, + "Ġir": 4931, + ")(": 4932, + "anes": 4933, + "Ġavoid": 4934, + "ĠDon": 4935, + "ĠOf": 4936, + "ktop": 4937, + "ä¸Ģå®ļ": 4938, + "Ġgran": 4939, + "gener": 4940, + "MS": 4941, + "Ġequip": 4942, + "atre": 4943, + "å¦Ī": 4944, + "ĠBu": 4945, + "Ġmodern": 4946, + "æĪIJ为": 4947, + "vi": 4948, + "alu": 4949, + "ella": 4950, + "Ġgames": 4951, + "cer": 4952, + "Ġfixed": 4953, + "arcel": 4954, + "ĠAg": 4955, + "rar": 4956, + "Ġrecent": 4957, + "ĠAS": 4958, + "ocal": 4959, + "Ġdistribution": 4960, + "iers": 4961, + "æĭ©": 4962, + "avy": 4963, + "Ġdouble": 4964, + "Ġsentence": 4965, + "Ġhappy": 4966, + "æ´»åĬ¨": 4967, + "state": 4968, + "Ġмо": 4969, + "CC": 4970, + "åĽŃ": 4971, + "ĠJust": 4972, + "èģĮ": 4973, + "Ġcapt": 4974, + "chan": 4975, + "Ġlabel": 4976, + "Ġlas": 4977, + "Ġwhom": 4978, + "oe": 4979, + "conf": 4980, + "create": 4981, + "ĠID": 4982, + "Ġcollect": 4983, + "Ġoffice": 4984, + "æķĻèĤ²": 4985, + "ä¸ĸçķĮ": 4986, + "Code": 4987, + "究": 4988, + "Ġemail": 4989, + "itar": 4990, + "****************": 4991, + "çĬ¶": 4992, + "MA": 4993, + "rench": 4994, + "Ġsetting": 4995, + "block": 4996, + "Ġtypes": 4997, + "ufact": 4998, + "Ġrole": 4999, + "eks": 5000, + "Ġdistance": 5001, + "Ġgoes": 5002, + "what": 5003, + "vec": 5004, + "åİĭ": 5005, + "Ġanyone": 5006, + "æĻº": 5007, + "Ġcy": 5008, + "ý": 5009, + ".]": 5010, + "wide": 5011, + "Ġitems": 5012, + "Ġsometimes": 5013, + "Ġdog": 5014, + "acing": 5015, + "ements": 5016, + "oul": 5017, + "ĠChar": 5018, + "Ġdead": 5019, + "Ġandroid": 5020, + "Ġcompos": 5021, + "Att": 5022, + "UL": 5023, + "Service": 5024, + "éĿĴ": 5025, + "Ġpercent": 5026, + "ĠEls": 5027, + "overline": 5028, + "Ġserve": 5029, + "å±ŀ": 5030, + "After": 5031, + "she": 5032, + "ĠKing": 5033, + "ĠTHE": 5034, + "åij³": 5035, + "Ġ(!": 5036, + "ights": 5037, + "åij¢": 5038, + "ÑĤел": 5039, + "orithm": 5040, + "option": 5041, + "lient": 5042, + "Ġdivers": 5043, + "社ä¼ļ": 5044, + "varphi": 5045, + "Big": 5046, + "apache": 5047, + "Ġhour": 5048, + "Ġtim": 5049, + "Ġnor": 5050, + "ĠHer": 5051, + "Out": 5052, + "pan": 5053, + "ĠSun": 5054, + "Array": 5055, + "å°Ķ": 5056, + "Ġmix": 5057, + "Ġgirl": 5058, + "Ġexperi": 5059, + "ĠIS": 5060, + "unk": 5061, + "Ġpassed": 5062, + "Ġprior": 5063, + "content": 5064, + "ÃŃa": 5065, + "requ": 5066, + "Ġindustry": 5067, + "eturn": 5068, + "Ġexcept": 5069, + "hol": 5070, + "si": 5071, + "nic": 5072, + "xy": 5073, + "康": 5074, + "Ġjava": 5075, + "Ġengine": 5076, + "bolds": 5077, + "enced": 5078, + "声": 5079, + "OP": 5080, + "Ġsaf": 5081, + "Ġexactly": 5082, + "circ": 5083, + "éĩįè¦ģ": 5084, + "pat": 5085, + "ocol": 5086, + "ç»ıæµİ": 5087, + "aste": 5088, + "inally": 5089, + "igo": 5090, + "boldsymbol": 5091, + "Ġcand": 5092, + "ously": 5093, + "aches": 5094, + "ĉĉ<": 5095, + "urance": 5096, + "Ġcateg": 5097, + "ĠStates": 5098, + "æĮī": 5099, + "eix": 5100, + "ноÑģÑĤ": 5101, + "Ġjud": 5102, + "æŁIJ": 5103, + "his": 5104, + "Reg": 5105, + "使çĶ¨": 5106, + "frak": 5107, + "Ġprevent": 5108, + "Ġideas": 5109, + "Ġsrc": 5110, + "Ġciut": 5111, + "query": 5112, + "alle": 5113, + "æ¥": 5114, + "Ġdetect": 5115, + "дÑĥ": 5116, + "ĠSee": 5117, + "Per": 5118, + "Ġuses": 5119, + "ql": 5120, + "xx": 5121, + "Ġcurrently": 5122, + "Ġrefer": 5123, + "Ġtowards": 5124, + "Ġvoice": 5125, + "Ġaverage": 5126, + "Table": 5127, + "Ġanys": 5128, + "overn": 5129, + "Ġball": 5130, + "ç¦ı": 5131, + "Ġfeet": 5132, + "éĢīæĭ©": 5133, + "idge": 5134, + "&\\": 5135, + "Log": 5136, + "ÄĽ": 5137, + "Ġsupply": 5138, + "çļ®": 5139, + "Ġsold": 5140, + "fficient": 5141, + "Size": 5142, + "IV": 5143, + "ĠLond": 5144, + "gn": 5145, + "ĠLord": 5146, + "Ġtransform": 5147, + "éħĴ": 5148, + "Ġcop": 5149, + "Ġviol": 5150, + "Ġquery": 5151, + "Ġcook": 5152, + "vey": 5153, + "[\\": 5154, + "Trans": 5155, + "Ġprofessional": 5156, + "Ġoffers": 5157, + "Ġworked": 5158, + "Hand": 5159, + "Ġglobal": 5160, + "Ġeren": 5161, + "iday": 5162, + "Ġdeb": 5163, + "Ġparameter": 5164, + "Ġremember": 5165, + "Ġcompar": 5166, + "éĤ£ä¹Ī": 5167, + "ĠSouth": 5168, + "uge": 5169, + "Ġallows": 5170, + "Ġinn": 5171, + "Ġbatter": 5172, + "Ġ||Ġ": 5173, + "ĠCity": 5174, + "itc": 5175, + "Ġcell": 5176, + "Ġcomfort": 5177, + "attle": 5178, + "Ġlate": 5179, + "ĠPC": 5180, + "Ġimm": 5181, + "Ġoccur": 5182, + "Ġprep": 5183, + "ĠEs": 5184, + "ological": 5185, + "Ġdepart": 5186, + "Ġhundred": 5187, + "å®īåħ¨": 5188, + "éĻį": 5189, + "Ġfeed": 5190, + "Ġcatal": 5191, + "ĠSch": 5192, + "soft": 5193, + "Ġforce": 5194, + "群": 5195, + "uffer": 5196, + "ili": 5197, + "ersion": 5198, + "Ġuns": 5199, + ",--": 5200, + "Ġcompanies": 5201, + "mas": 5202, + "ĠMiss": 5203, + "grad": 5204, + "Ġperhaps": 5205, + "ques": 5206, + "Est": 5207, + "igation": 5208, + "Ġreceive": 5209, + "ration": 5210, + "ба": 5211, + "hline": 5212, + "Ġenter": 5213, + "ĠRev": 5214, + "Ġship": 5215, + "ĠNorth": 5216, + "flow": 5217, + "active": 5218, + "å¡": 5219, + "reet": 5220, + "ĠMark": 5221, + "Ġdif": 5222, + "////////": 5223, + "ancial": 5224, + "ĠÑĨ": 5225, + "Ġrandom": 5226, + "Ġcharg": 5227, + "ĠCatal": 5228, + "ĠAut": 5229, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 5230, + "é¸": 5231, + "FI": 5232, + "Ġded": 5233, + "èĻ½": 5234, + "ecause": 5235, + "pret": 5236, + "Ġnone": 5237, + "},\\": 5238, + "ĠBrit": 5239, + "System": 5240, + "unction": 5241, + "Ġphone": 5242, + "Ġalone": 5243, + "ĠPres": 5244, + "Ġthrow": 5245, + "foot": 5246, + "ços": 5247, + "Ġmanagement": 5248, + "Ġmulti": 5249, + "æŀĹ": 5250, + "ROM": 5251, + "argin": 5252, + "è¯Ń": 5253, + "åħħ": 5254, + "Ġagre": 5255, + "Ġtask": 5256, + "åѦçĶŁ": 5257, + "è´Ń": 5258, + "åįĬ": 5259, + "lin": 5260, + ",'": 5261, + "local": 5262, + "bra": 5263, + "ĠMc": 5264, + "itable": 5265, + "ил": 5266, + "ä½ľä¸º": 5267, + "Ġtool": 5268, + "Ġtal": 5269, + "itter": 5270, + "atge": 5271, + "Ġimages": 5272, + "Ġcomment": 5273, + "sf": 5274, + "ĠDE": 5275, + "sole": 5276, + "ÐĿ": 5277, + "Ġcompl": 5278, + "}).": 5279, + "伤": 5280, + "åIJ¬": 5281, + "pol": 5282, + "install": 5283, + "бе": 5284, + "cap": 5285, + "ĠGerm": 5286, + "Ġconcern": 5287, + "ĠHar": 5288, + "Ġproperties": 5289, + "Ġgold": 5290, + "cing": 5291, + "include": 5292, + "Ġcenter": 5293, + "mark": 5294, + "LECT": 5295, + "encies": 5296, + "Ġrelationship": 5297, + "iments": 5298, + "Manager": 5299, + "Ġaltern": 5300, + "Ġstreng": 5301, + "Ġincludes": 5302, + "izes": 5303, + "ĠAnt": 5304, + "Ġphysical": 5305, + "button": 5306, + "ÑĮ": 5307, + "åł": 5308, + "严": 5309, + "Ġnumer": 5310, + "Ġbecame": 5311, + "atically": 5312, + "uda": 5313, + "dered": 5314, + "åĩºçİ°": 5315, + "ĠSec": 5316, + "Inter": 5317, + "Ġassociated": 5318, + "Ġtree": 5319, + "Ġabsol": 5320, + "Ġresol": 5321, + "è¿ĺæľī": 5322, + "server": 5323, + "ĠFig": 5324, + "ares": 5325, + "ĠTrans": 5326, + "iven": 5327, + "miss": 5328, + "Ġobtained": 5329, + "ĠAust": 5330, + "well": 5331, + "EE": 5332, + "Ġneigh": 5333, + "ä¾ĭ": 5334, + "TS": 5335, + "Ġyes": 5336, + "aix": 5337, + "Ġestat": 5338, + "acional": 5339, + "ĠDis": 5340, + "Ġrout": 5341, + "================": 5342, + "çĨ": 5343, + "Ġut": 5344, + "æ¯į": 5345, + "Ġanim": 5346, + "æĿ¿": 5347, + "Ġaix": 5348, + "ech": 5349, + "Ġcharge": 5350, + "âĢł": 5351, + "ä¿®": 5352, + "Ġstra": 5353, + "Ġsaying": 5354, + "æī¾": 5355, + "eful": 5356, + "idden": 5357, + "å¯Į": 5358, + "Ġletter": 5359, + "ĠOF": 5360, + "çķĻ": 5361, + "etc": 5362, + "ñ": 5363, + "ociety": 5364, + "设计": 5365, + "uster": 5366, + "Ġattention": 5367, + "еÑĤо": 5368, + "Ġarr": 5369, + "èŀį": 5370, + "ĠNet": 5371, + "abs": 5372, + "orge": 5373, + "ä¸ŃçļĦ": 5374, + "åĿļ": 5375, + "åİ¿": 5376, + "Ġwife": 5377, + "aily": 5378, + "ny": 5379, + "Ġhomes": 5380, + "æĿİ": 5381, + "Ġstar": 5382, + "æ£Ģ": 5383, + "Ġquickly": 5384, + "å±Ĥ": 5385, + "жи": 5386, + "ĠкÑĬ": 5387, + "define": 5388, + "Ġtouch": 5389, + "Message": 5390, + "raint": 5391, + "Ġdesigned": 5392, + "Ġcele": 5393, + "Ġdurant": 5394, + "Ġwind": 5395, + "Ġcontains": 5396, + "Ġsurpr": 5397, + "DB": 5398, + "AA": 5399, + "åĿĩ": 5400, + "mathfrak": 5401, + "ibly": 5402, + "Ġgone": 5403, + "iring": 5404, + "äºĨä¸Ģ": 5405, + "ja": 5406, + "Ġaf": 5407, + "è·Ł": 5408, + "ĠÐľÐ°": 5409, + "ipe": 5410, + "Ġsecurity": 5411, + "å½±åĵį": 5412, + "Ġled": 5413, + "ĠWorld": 5414, + "Ġaccur": 5415, + "adors": 5416, + "ĠHol": 5417, + "éŁ³": 5418, + "ĠNe": 5419, + "çĽĬ": 5420, + "ĠMrs": 5421, + "æĺ¥": 5422, + "Ġpull": 5423, + "вÑĬÑĢ": 5424, + "Ġsituation": 5425, + "Ġsurface": 5426, + "Ġproced": 5427, + "ĠSw": 5428, + "ini": 5429, + "Ġrisk": 5430, + "Ġtrust": 5431, + "åºĹ": 5432, + "mo": 5433, + "isme": 5434, + "Ġbur": 5435, + "Ġconvert": 5436, + "ä¹ĭåIJİ": 5437, + "ç®Ģ": 5438, + "Ġrow": 5439, + "çŁ³": 5440, + "Ġprimer": 5441, + "Ġimpact": 5442, + "Ġdriver": 5443, + "post": 5444, + "Ġcouple": 5445, + "Ġareas": 5446, + "ÅĻ": 5447, + "Ġrom": 5448, + "Ġcontract": 5449, + "Ġensure": 5450, + "Ġeffective": 5451, + "Ġchanged": 5452, + "Ġrecently": 5453, + "ĠMad": 5454, + "Ġactive": 5455, + "year": 5456, + "ube": 5457, + "ancy": 5458, + "Ġmort": 5459, + "Es": 5460, + "æķħ": 5461, + "ocket": 5462, + "Ġsleep": 5463, + "äºī": 5464, + "ugh": 5465, + "how": 5466, + "Ġreference": 5467, + "image": 5468, + "Ġma": 5469, + "ĠSchool": 5470, + "Ġheight": 5471, + "Ġinteresting": 5472, + "Rec": 5473, + "Ġpurpose": 5474, + "è´¢": 5475, + "Ġdirection": 5476, + "They": 5477, + "ÑĢед": 5478, + "Ġmateix": 5479, + "é¡¹çĽ®": 5480, + "Ġtechnology": 5481, + "Ġfollowed": 5482, + "Ġresta": 5483, + "ĠPat": 5484, + "dat": 5485, + "mes": 5486, + "Ġblue": 5487, + "Ġdep": 5488, + "åĪĴ": 5489, + "ĠPal": 5490, + "Ġwide": 5491, + "ynt": 5492, + "ĠAug": 5493, + "cs": 5494, + "long": 5495, + "åĩı": 5496, + "gt": 5497, + "ĠSince": 5498, + "ptions": 5499, + "Ġeveryone": 5500, + "Ġbooks": 5501, + "Our": 5502, + "Ġstatus": 5503, + "Ġchance": 5504, + "TH": 5505, + "MP": 5506, + "Ġdemand": 5507, + "Ġcompletely": 5508, + "æĬķèµĦ": 5509, + "core": 5510, + "ivil": 5511, + "Ġep": 5512, + "æĵ": 5513, + "å±ħ": 5514, + "åħļ": 5515, + "ĠUp": 5516, + "Ñīи": 5517, + "Ġsea": 5518, + "Ġmi": 5519, + "rep": 5520, + "Ġcoun": 5521, + "åŃ£": 5522, + "å²ģ": 5523, + "Ġnice": 5524, + "Ġhair": 5525, + "apping": 5526, + "æĢİ": 5527, + "ĠAng": 5528, + "åĶ®": 5529, + "èĮĥ": 5530, + "Ġstream": 5531, + "Ñħо": 5532, + "éĶĻ": 5533, + "é¦Ļ": 5534, + "èīº": 5535, + "mitted": 5536, + "ĠUSB": 5537, + "fs": 5538, + "è¿Ļç§į": 5539, + "Ġshop": 5540, + "Ġdisk": 5541, + "web": 5542, + "ameter": 5543, + "ĠHigh": 5544, + "Ġcool": 5545, + "Ġpractice": 5546, + "ús": 5547, + "Ġ===": 5548, + "ĠNational": 5549, + "uts": 5550, + "ĠSE": 5551, + "Ġsolutions": 5552, + "ĠPort": 5553, + "Che": 5554, + "ensions": 5555, + "struct": 5556, + "Ðŀ": 5557, + "Ġrelig": 5558, + "Ġcustomers": 5559, + "ford": 5560, + "Ġgreen": 5561, + "Ġmaintain": 5562, + "Ġrecommend": 5563, + "Ġpen": 5564, + "Ġlarger": 5565, + "害": 5566, + "ĠDav": 5567, + "å°½": 5568, + "lÃŃcul": 5569, + "Ġfresh": 5570, + "pa": 5571, + "css": 5572, + "Ġconduct": 5573, + "Ġpolicy": 5574, + "Ġtheory": 5575, + "Ġ__": 5576, + "è¯Ħ": 5577, + "Ġvariable": 5578, + "ĠAcc": 5579, + "Ġconstruct": 5580, + "æĺ¯ä¸Ģ": 5581, + "Ġfully": 5582, + "Ġtip": 5583, + "ĠAND": 5584, + "Ġincluded": 5585, + "page": 5586, + "æĿIJ": 5587, + "Ġthous": 5588, + "])": 5589, + "ocation": 5590, + "Ġstru": 5591, + "以åıĬ": 5592, + "icient": 5593, + "ĠGoogle": 5594, + "è§Ĵ": 5595, + "car": 5596, + "Ġpal": 5597, + "Ġsteps": 5598, + "Ġrat": 5599, + "»": 5600, + "Ġmember": 5601, + "poss": 5602, + "ç¾İåĽ½": 5603, + "uct": 5604, + "NS": 5605, + "Ġfigure": 5606, + "из": 5607, + "run": 5608, + "main": 5609, + "ÑĤÑĥ": 5610, + "Count": 5611, + "small": 5612, + "Ġevalu": 5613, + "è¡¥": 5614, + "Ġterr": 5615, + "ució": 5616, + "Ġuseful": 5617, + "Ass": 5618, + "ĠStud": 5619, + "yond": 5620, + "Ġunit": 5621, + "Ġfields": 5622, + "Ġbill": 5623, + "Ġprogress": 5624, + "åı¤": 5625, + "Ġproof": 5626, + "Ġpartition": 5627, + "eff": 5628, + "æ¯Ķè¾ĥ": 5629, + "é¾Ļ": 5630, + "ÑĤÑĢа": 5631, + "langle": 5632, + "é»ij": 5633, + "dir": 5634, + "ĠSan": 5635, + "Date": 5636, + "念": 5637, + "çİ©": 5638, + "主è¦ģ": 5639, + "has": 5640, + "Ġreturned": 5641, + "Ġcarry": 5642, + "ĠWest": 5643, + "ico": 5644, + "Ġsong": 5645, + "model": 5646, + "æľĭ": 5647, + "åħį": 5648, + "augh": 5649, + "åĪĿ": 5650, + "tered": 5651, + "Yes": 5652, + "åĪĹ": 5653, + "ncia": 5654, + "Ġfear": 5655, + "atever": 5656, + "åĩ»": 5657, + "ĠRem": 5658, + "Ġmess": 5659, + "æŃ»": 5660, + "jo": 5661, + "åıijçİ°": 5662, + "Ġslight": 5663, + "otes": 5664, + "ä¸įä¼ļ": 5665, + "assert": 5666, + "èĢĮä¸Ķ": 5667, + "??": 5668, + "Ġformer": 5669, + "ÑģÑĤе": 5670, + "ек": 5671, + "semb": 5672, + "embre": 5673, + "Ġfet": 5674, + "Ġmunicip": 5675, + "Ġprincipal": 5676, + "aquest": 5677, + "names": 5678, + "\\%": 5679, + "æī¿": 5680, + "eria": 5681, + "Call": 5682, + "ĠÐĹ": 5683, + "FA": 5684, + "讲": 5685, + "ashing": 5686, + "wood": 5687, + "Ġincl": 5688, + "Ġpair": 5689, + "Ġsav": 5690, + "Ġgets": 5691, + "æĸĩåĮĸ": 5692, + "Ġphase": 5693, + "itation": 5694, + "Ġestaven": 5695, + "Ġdynam": 5696, + "unities": 5697, + "Lambda": 5698, + "textit": 5699, + "ldots": 5700, + "åľŁ": 5701, + "æĿ¥çļĦ": 5702, + "èŃ": 5703, + "cons": 5704, + "Ġmal": 5705, + "вÑı": 5706, + "缮åīį": 5707, + "Ġquar": 5708, + "Color": 5709, + "ishing": 5710, + "Ġunivers": 5711, + "Ġveh": 5712, + "ua": 5713, + "建设": 5714, + "note": 5715, + "Sub": 5716, + "Ġstaff": 5717, + "lang": 5718, + "User": 5719, + "Lay": 5720, + "had": 5721, + "eny": 5722, + "Ġsafe": 5723, + "ialog": 5724, + "ación": 5725, + "Ġaltres": 5726, + "Ġboy": 5727, + "Ġdescribed": 5728, + "inct": 5729, + "Ġbottom": 5730, + "ABLE": 5731, + "Ġmaster": 5732, + "Ñģно": 5733, + "ĉ&": 5734, + "Ġinsp": 5735, + "ulations": 5736, + "arily": 5737, + "Ġpicture": 5738, + "iled": 5739, + "ounds": 5740, + "appa": 5741, + "Ġfont": 5742, + "Ġgiving": 5743, + "Ġnumbers": 5744, + "aker": 5745, + "Ġweeks": 5746, + "é²": 5747, + "hern": 5748, + "ĠApr": 5749, + "exp": 5750, + "Ġdegree": 5751, + "ÑĬлгаÑĢ": 5752, + "Ġmer": 5753, + "çĽĺ": 5754, + "Ġscale": 5755, + "Ġexpression": 5756, + "ĠPost": 5757, + "Ġcert": 5758, + "Ġthinking": 5759, + "det": 5760, + "Ġeffects": 5761, + "irth": 5762, + "èĥ½å¤Ł": 5763, + "rief": 5764, + "Ġcatch": 5765, + "UE": 5766, + "UM": 5767, + "ĠRed": 5768, + "works": 5769, + ".\\": 5770, + "atory": 5771, + "asons": 5772, + "жда": 5773, + "Ġcry": 5774, + "Ġacqu": 5775, + "ĠGeneral": 5776, + "éĥ¨åĪĨ": 5777, + "åŃ¦ä¹ł": 5778, + "ials": 5779, + "arden": 5780, + "aby": 5781, + "åŁŁ": 5782, + "Ġspirit": 5783, + "rive": 5784, + "Ġcomponent": 5785, + "build": 5786, + "ĠNOT": 5787, + "Ġamaz": 5788, + "Ġborder": 5789, + "æĹħ": 5790, + "ĠVa": 5791, + "人æ°ij": 5792, + "Ġexecut": 5793, + "urt": 5794, + "Model": 5795, + "Ġcollection": 5796, + "ocr": 5797, + "Ġmes": 5798, + "Ġalthough": 5799, + "ç³»ç»Ł": 5800, + "ees": 5801, + "ç¿": 5802, + "åħ¶å®ŀ": 5803, + "ĠWhile": 5804, + "ä¸ĬçļĦ": 5805, + "Ġcada": 5806, + "帮": 5807, + "Ġbi": 5808, + "OW": 5809, + "deb": 5810, + "ova": 5811, + "Ġма": 5812, + "Ġviv": 5813, + "Ġgas": 5814, + "aling": 5815, + "home": 5816, + "Ġ};": 5817, + "æ±½": 5818, + "ĠOct": 5819, + "cp": 5820, + "ник": 5821, + "Ġdirectory": 5822, + "ĠÐĿа": 5823, + "current": 5824, + "acer": 5825, + "Ġhop": 5826, + "åĨĻ": 5827, + "åĽ´": 5828, + "人åijĺ": 5829, + "èѦ": 5830, + "ky": 5831, + "ĠBro": 5832, + "Ġpiece": 5833, + "unes": 5834, + "rie": 5835, + "æľĭåıĭ": 5836, + "иÑĤел": 5837, + "artment": 5838, + "ensure": 5839, + "Ġopportunity": 5840, + "citep": 5841, + "Ġbroad": 5842, + "VER": 5843, + "æĪĸèĢħ": 5844, + "look": 5845, + "ĠÐŁÐ¾": 5846, + "erences": 5847, + "ename": 5848, + "ĉ{": 5849, + "Ġinj": 5850, + "Ġmanufact": 5851, + "Ġmatrix": 5852, + "oma": 5853, + "Ġzero": 5854, + "ĠDef": 5855, + "Ġgroups": 5856, + "Ġbutton": 5857, + "ugin": 5858, + "]:": 5859, + "è´Ł": 5860, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 5861, + "èĥ½åĬĽ": 5862, + "ellent": 5863, + "|^": 5864, + "Ġarm": 5865, + "Ġrepe": 5866, + "ÑĦи": 5867, + "ä¸įåIJĮ": 5868, + "Ġstarting": 5869, + "çŃĸ": 5870, + "Ġarriv": 5871, + "Ġdress": 5872, + "ald": 5873, + "Ġfort": 5874, + "case": 5875, + "orrow": 5876, + "Ġleading": 5877, + "ĠRE": 5878, + "itants": 5879, + "èĪ¬": 5880, + "Ġconv": 5881, + "è¦ģæ±Ĥ": 5882, + "ka": 5883, + "вен": 5884, + "person": 5885, + "Ġпе": 5886, + "ĠLes": 5887, + "pected": 5888, + "ке": 5889, + "Ġign": 5890, + "ĠList": 5891, + "Ġbeyond": 5892, + "Phi": 5893, + "æ¤": 5894, + "Can": 5895, + "Ġlatest": 5896, + "char": 5897, + "ĠWhy": 5898, + "ĠFirst": 5899, + "ĠSub": 5900, + "Ġhit": 5901, + "ĠPark": 5902, + "Des": 5903, + "Ġter": 5904, + "Ġproduction": 5905, + "google": 5906, + "ilde": 5907, + "istics": 5908, + "Ġroll": 5909, + "Ġdoubt": 5910, + "za": 5911, + "Ġви": 5912, + "arcelona": 5913, + "å¾ħ": 5914, + "Ġtruth": 5915, + "æŃ¢": 5916, + "çł´": 5917, + "ĠLondon": 5918, + "Ġthroughout": 5919, + "ĠVol": 5920, + "adem": 5921, + "äºĴ": 5922, + "Ġequal": 5923, + "Ġ«": 5924, + "oms": 5925, + "Ġsam": 5926, + "Ġblood": 5927, + "Ġdefine": 5928, + "Ġreach": 5929, + "((": 5930, + "king": 5931, + "cles": 5932, + "Ġcorresponding": 5933, + "çīĪ": 5934, + "Ġedge": 5935, + "Ġtempor": 5936, + "Ġtemperature": 5937, + "ALL": 5938, + "Ġcat": 5939, + "Ġmid": 5940, + "Ġforma": 5941, + "Ġapplications": 5942, + "Ġopin": 5943, + "Ġmicro": 5944, + "æĻ®": 5945, + "sa": 5946, + "child": 5947, + "actory": 5948, + "Ġinternal": 5949, + "only": 5950, + "TD": 5951, + "äºļ": 5952, + "Ġadvant": 5953, + "open": 5954, + "Ġrend": 5955, + "oni": 5956, + "EX": 5957, + "inn": 5958, + "Pr": 5959, + "Client": 5960, + "fol": 5961, + "Ġsettings": 5962, + "ĠSal": 5963, + "iling": 5964, + "itchen": 5965, + "cher": 5966, + "Ġpued": 5967, + "actions": 5968, + "Ġvict": 5969, + "åįı": 5970, + "SP": 5971, + "ä¸įè¦ģ": 5972, + "äºij": 5973, + "uary": 5974, + "ĠSQL": 5975, + "Ġkept": 5976, + "dist": 5977, + "ows": 5978, + "Ġfailed": 5979, + "ago": 5980, + "llaços": 5981, + "ano": 5982, + "Ġallowed": 5983, + "éĵ¶": 5984, + "ĠHouse": 5985, + "gar": 5986, + "iced": 5987, + "event": 5988, + "Ġvac": 5989, + "èµ·æĿ¥": 5990, + "Dis": 5991, + "åįĥ": 5992, + "举": 5993, + "agon": 5994, + "Query": 5995, + "ups": 5996, + "Ġcelebr": 5997, + "读": 5998, + "åĸĦ": 5999, + "кÑĥ": 6000, + "Ġconfiguration": 6001, + "house": 6002, + "èĻ½çĦ¶": 6003, + "ido": 6004, + "iform": 6005, + "ague": 6006, + "æĽ¾": 6007, + "client": 6008, + "Ġeye": 6009, + "sem": 6010, + "anged": 6011, + "othing": 6012, + "ĠFrench": 6013, + "Note": 6014, + "End": 6015, + "CD": 6016, + "æ²³": 6017, + "nabla": 6018, + "atively": 6019, + "Oh": 6020, + "subset": 6021, + "eline": 6022, + "Ġgrowth": 6023, + "Ġessential": 6024, + "Ġoffic": 6025, + "ĠÑģÑĤа": 6026, + "åı²": 6027, + "Ġindeed": 6028, + "aly": 6029, + "dim": 6030, + "Ġtreatment": 6031, + "æıIJä¾Ľ": 6032, + "Ġja": 6033, + "Ġearth": 6034, + "rect": 6035, + "Ġexterns": 6036, + "ноÑĤо": 6037, + "usion": 6038, + "Ġstraight": 6039, + "oria": 6040, + "itors": 6041, + "}),": 6042, + "лÑİ": 6043, + "Ġassume": 6044, + "Ġgenerally": 6045, + "æĻļ": 6046, + "Ġfight": 6047, + "Ġentry": 6048, + "UP": 6049, + "ĠOff": 6050, + "Ġexists": 6051, + "iÃł": 6052, + "çĶ»": 6053, + "Ġmaximum": 6054, + "åIJ¦": 6055, + "lying": 6056, + "Ġcertainly": 6057, + "mbox": 6058, + "kappa": 6059, + "Ġgent": 6060, + "å®ĺ": 6061, + "HT": 6062, + "Ġmolt": 6063, + "oto": 6064, + "\\!": 6065, + "Ġplaying": 6066, + "ĠAlso": 6067, + "Ġprefer": 6068, + "Ġequival": 6069, + "ÑĪе": 6070, + "Ġappropri": 6071, + "è¿Ļä¸Ģ": 6072, + "Ġoptim": 6073, + "ests": 6074, + "Ġcapital": 6075, + "Ġclosed": 6076, + "Ġhabitat": 6077, + "ishes": 6078, + "Ġserious": 6079, + "rey": 6080, + "Ġпод": 6081, + "false": 6082, + "å¿Ĺ": 6083, + "Ġfactor": 6084, + "Ġconsult": 6085, + "Ġeducation": 6086, + "then": 6087, + "Ġciutat": 6088, + "rees": 6089, + "erior": 6090, + "Ġhappen": 6091, + "ĠAmerica": 6092, + "å¾ĭ": 6093, + "æ¹ĸ": 6094, + "çłĶ究": 6095, + "Ġexperiment": 6096, + "first": 6097, + "contain": 6098, + "ĠOS": 6099, + "isions": 6100, + "Äį": 6101, + "roy": 6102, + "Ab": 6103, + "çªģ": 6104, + "Enllaços": 6105, + "Ġlives": 6106, + "height": 6107, + "btn": 6108, + "Ġmechan": 6109, + "åIJ§": 6110, + "CK": 6111, + "Ġapproxim": 6112, + "ä¸įè¿ĩ": 6113, + "ĉĉĉ<": 6114, + "为äºĨ": 6115, + "ĠSol": 6116, + "Ġcu": 6117, + "asion": 6118, + "rase": 6119, + "Ġlevels": 6120, + "ĠAc": 6121, + "Ġfig": 6122, + "Ġnearly": 6123, + "PU": 6124, + "çĽij": 6125, + "Ġfilm": 6126, + "rd": 6127, + "ĠĠĠĠ$": 6128, + "Ġvector": 6129, + "Ġpare": 6130, + "lier": 6131, + "Ġappre": 6132, + "ulate": 6133, + "Ġprem": 6134, + "grade": 6135, + "android": 6136, + "Ġtres": 6137, + "Ġheat": 6138, + "Ġdecided": 6139, + "AME": 6140, + "rowser": 6141, + "Ġgreater": 6142, + "åįļ": 6143, + "oted": 6144, + "Ġconver": 6145, + "ris": 6146, + "ĠClass": 6147, + "itory": 6148, + "Ġfeeling": 6149, + "Ġtreball": 6150, + "igen": 6151, + "ithub": 6152, + "ĉĉĉĉ<": 6153, + "itution": 6154, + "INE": 6155, + "Ġcold": 6156, + "bert": 6157, + "Ġstatement": 6158, + "Sup": 6159, + "uls": 6160, + "Ġimmediately": 6161, + "Ġtools": 6162, + "åħ´": 6163, + "Ġmanner": 6164, + "çĭ¬": 6165, + "lig": 6166, + "rum": 6167, + "Ġcomponents": 6168, + "Ġplaces": 6169, + "Ġcomo": 6170, + "oes": 6171, + "ÃŃst": 6172, + "Ġdatas": 6173, + "Ġfirm": 6174, + "ĠMarch": 6175, + "TO": 6176, + "Ġresources": 6177, + "ython": 6178, + "вÑĢи": 6179, + "Hz": 6180, + "otimes": 6181, + "omb": 6182, + "Ġsex": 6183, + "Ġability": 6184, + "Ġbank": 6185, + "ensuremath": 6186, + "Ġindependent": 6187, + "Ġpriv": 6188, + "null": 6189, + "æĪı": 6190, + "Aut": 6191, + "éĢģ": 6192, + "Ġobserved": 6193, + "åIJ¸": 6194, + "Ġdiss": 6195, + "Ġsin": 6196, + "Ðľ": 6197, + "çĵ": 6198, + "Ġsolid": 6199, + "çıŃ": 6200, + "Ġjo": 6201, + "æ¿": 6202, + "Ġ;": 6203, + "sql": 6204, + "ĠCenter": 6205, + "Ġgoal": 6206, + "Ġcompared": 6207, + "Ġing": 6208, + "ima": 6209, + "è¯ī": 6210, + "Ġdevices": 6211, + "ниеÑĤо": 6212, + "Ġ>Ġ": 6213, + "个人": 6214, + "åĸľæ¬¢": 6215, + "ĠпÑĢед": 6216, + "level": 6217, + "mail": 6218, + "Ġconsum": 6219, + "erve": 6220, + "Ġskin": 6221, + "座": 6222, + "Ġanaly": 6223, + "èĤī": 6224, + "Ġoperation": 6225, + "Ġfilter": 6226, + "åģľ": 6227, + "cel": 6228, + "Ġsets": 6229, + "Ġmodule": 6230, + "SQL": 6231, + "ман": 6232, + "anys": 6233, + "Ġrequires": 6234, + "å·®": 6235, + "Ġ``": 6236, + "Ġsummer": 6237, + "åħ¶ä»ĸ": 6238, + "æĸ¹å¼ı": 6239, + "åºľ": 6240, + "课": 6241, + "ĠMag": 6242, + "Ġbrand": 6243, + "Ġmeeting": 6244, + "Ġoil": 6245, + "\"#": 6246, + "rer": 6247, + "ĠWeb": 6248, + "](": 6249, + "hest": 6250, + "Ġcustomer": 6251, + "istry": 6252, + "Ġbrother": 6253, + "ctors": 6254, + "icense": 6255, + "Ġrelease": 6256, + "izer": 6257, + "ÑĦиÑı": 6258, + "Ġplatform": 6259, + "享": 6260, + "ä¿¡æģ¯": 6261, + "sy": 6262, + "çŁŃ": 6263, + "Ġkernel": 6264, + "Ġtend": 6265, + "Ġvariety": 6266, + "Ġappears": 6267, + "Ġdream": 6268, + "å¸Į": 6269, + "Ġofficial": 6270, + "Ġlayer": 6271, + "åı¦": 6272, + "åŁİå¸Ĥ": 6273, + "æł¸": 6274, + "ournal": 6275, + "æ¦": 6276, + "dot": 6277, + "ваÑĤа": 6278, + "Ġbeginning": 6279, + "aries": 6280, + "have": 6281, + "ĠMart": 6282, + "cos": 6283, + "Ġstd": 6284, + "Ġwarm": 6285, + "âĢ¢": 6286, + "Ġauto": 6287, + "Ġlocated": 6288, + "Ġexisting": 6289, + "åį¡": 6290, + "Ġselected": 6291, + "Ġrule": 6292, + "大åѦ": 6293, + "Ġgrand": 6294, + "Ġcos": 6295, + "ĠAny": 6296, + ",-": 6297, + "ĠMus": 6298, + "spec": 6299, + "connect": 6300, + "Ġrot": 6301, + "ĠMor": 6302, + "ĠfamÃŃlia": 6303, + "ĠOpen": 6304, + "zy": 6305, + "plicit": 6306, + "Ġvel": 6307, + "First": 6308, + "лен": 6309, + "method": 6310, + "Ġtill": 6311, + "ĠBarcelona": 6312, + "Ġinterface": 6313, + "Ġlinear": 6314, + "Ġstrength": 6315, + "ieved": 6316, + "[\"": 6317, + "Ġapplied": 6318, + "æĭħ": 6319, + "png": 6320, + "ĠCamp": 6321, + "ulated": 6322, + "Ġgain": 6323, + "ÑĩаÑģÑĤ": 6324, + "ĠJo": 6325, + ">>": 6326, + "undle": 6327, + "Override": 6328, + "Ġwindows": 6329, + "Select": 6330, + "Ġpredict": 6331, + "Ġcentral": 6332, + "Ġpow": 6333, + "antic": 6334, + "ĠLem": 6335, + "Ġsample": 6336, + "Ġ]": 6337, + "pc": 6338, + "Ġfinally": 6339, + "Ġfinancial": 6340, + "aled": 6341, + "Ġequation": 6342, + "Ġrob": 6343, + "认为": 6344, + "æµĭ": 6345, + "çĪ¶": 6346, + "Ġrele": 6347, + "æ½": 6348, + "context": 6349, + "Ġmentioned": 6350, + "Ġachieve": 6351, + "levant": 6352, + "Property": 6353, + "ĠBlack": 6354, + "Ġstage": 6355, + "ds": 6356, + "Ġdecision": 6357, + "last": 6358, + "Ġmitj": 6359, + "Ġrespectively": 6360, + "ĠÐļа": 6361, + "ael": 6362, + "appro": 6363, + "èıľ": 6364, + "Ġsudden": 6365, + "oding": 6366, + "表示": 6367, + "%,": 6368, + "ĠOut": 6369, + "ĠWar": 6370, + "amily": 6371, + "Ġmenu": 6372, + "каÑĤа": 6373, + "æĦ¿": 6374, + "Ġwire": 6375, + "\"../../../../": 6376, + "Ġhus": 6377, + "Ġproposed": 6378, + "img": 6379, + "EL": 6380, + "æį¢": 6381, + "Ġinfo": 6382, + "Ġhighly": 6383, + "Ġguess": 6384, + "itary": 6385, + "Ġtransfer": 6386, + "find": 6387, + "icks": 6388, + "Ġmist": 6389, + "initely": 6390, + "Sigma": 6391, + "ville": 6392, + "Ġecho": 6393, + "ç¼ĸ": 6394, + "лиÑı": 6395, + "èĽ": 6396, + "PC": 6397, + "Ġfrequency": 6398, + "\").": 6399, + "enge": 6400, + "ĠÑģлед": 6401, + "æĭ¿": 6402, + "SC": 6403, + "/\\": 6404, + "arant": 6405, + "Ġking": 6406, + "Ġconcept": 6407, + "Ġconstruction": 6408, + "åºĶ该": 6409, + "ĠST": 6410, + "ä¸Ģ缴": 6411, + "static": 6412, + "Ġdescription": 6413, + "service": 6414, + "ĠApple": 6415, + "Ġextrem": 6416, + "Ġlimited": 6417, + "ributed": 6418, + "Ġjoin": 6419, + "Ġexerc": 6420, + "åĺ": 6421, + "package": 6422, + "Ġfem": 6423, + "Ġdensity": 6424, + "Fil": 6425, + "Ġmas": 6426, + "rote": 6427, + "ĠLib": 6428, + "Ġhandle": 6429, + "emplate": 6430, + "Ġconstru": 6431, + "Net": 6432, + "мвÑĢи": 6433, + "ĠFranc": 6434, + "ĠEngland": 6435, + "yles": 6436, + "Bar": 6437, + "Ġbattery": 6438, + "dots": 6439, + "кÑĤо": 6440, + "Ġclasses": 6441, + "Part": 6442, + "Ġkids": 6443, + "ç»Ŀ": 6444, + "å©ļ": 6445, + "len": 6446, + "orph": 6447, + "overy": 6448, + "write": 6449, + "rat": 6450, + "Ġhar": 6451, + "ingu": 6452, + "Ġgal": 6453, + "}}{": 6454, + "ç»ĩ": 6455, + "ĠPlease": 6456, + "è´§": 6457, + "aris": 6458, + "Ġbecomes": 6459, + "while": 6460, + "display": 6461, + "Ġbasis": 6462, + "åıijçĶŁ": 6463, + "Ġbright": 6464, + "Ġtor": 6465, + "Ġ||Ġ||Ġ": 6466, + "ntic": 6467, + "({": 6468, + "票": 6469, + "иÑĤо": 6470, + "Ġdesp": 6471, + "ĠRead": 6472, + "acle": 6473, + "pers": 6474, + "Ġnotice": 6475, + "Ġnil": 6476, + "ĠAre": 6477, + "Ñīо": 6478, + "pet": 6479, + "ashion": 6480, + "apped": 6481, + "centering": 6482, + "æ¿Ģ": 6483, + "cha": 6484, + "ç´§": 6485, + "Ġhttps": 6486, + "num": 6487, + "Ġsecret": 6488, + "Ġsudo": 6489, + "ĠServer": 6490, + "æīĢæľī": 6491, + "ä¸Ģæł·": 6492, + "Ġdemon": 6493, + "flo": 6494, + "ĠBen": 6495, + "ÑĪи": 6496, + "ĠPhil": 6497, + "Line": 6498, + "ĠData": 6499, + "Ext": 6500, + "Method": 6501, + "However": 6502, + "ĠSM": 6503, + "ributes": 6504, + "raction": 6505, + "RA": 6506, + "DF": 6507, + "ä½łçļĦ": 6508, + "Ġstuff": 6509, + "ĠAquest": 6510, + "ĠON": 6511, + "ĠApril": 6512, + "CON": 6513, + "pling": 6514, + "Ġclients": 6515, + "adding": 6516, + "Ġmiddle": 6517, + "ĠTest": 6518, + "Ġcourt": 6519, + "ĠÑĢо": 6520, + "ifying": 6521, + "Response": 6522, + "Ġpassword": 6523, + "Ġeight": 6524, + "Ġdefinition": 6525, + "him": 6526, + "Ġincor": 6527, + "Ġobj": 6528, + "Ġlock": 6529, + "Ġvolume": 6530, + "ĠestÃł": 6531, + "Ġampl": 6532, + "ĠУ": 6533, + "æĤ£": 6534, + "Ġdaugh": 6535, + "Start": 6536, + "ĠStr": 6537, + "Ġprimera": 6538, + "室": 6539, + "ibli": 6540, + "Ġeat": 6541, + "нг": 6542, + "github": 6543, + "Ġrules": 6544, + "rely": 6545, + "Input": 6546, + "Ġmoving": 6547, + "Ġcab": 6548, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 6549, + "pdf": 6550, + "Ġcru": 6551, + "ä¸Ńå¿ĥ": 6552, + "èĴ": 6553, + "åĪļ": 6554, + "request": 6555, + "Ġinvestig": 6556, + "Ġinterested": 6557, + "ĠHam": 6558, + "frame": 6559, + "Ġcredit": 6560, + "rics": 6561, + "è¡Įä¸ļ": 6562, + "Ġtenia": 6563, + "继": 6564, + "ĠJune": 6565, + "Ġnoise": 6566, + "PO": 6567, + "она": 6568, + "Why": 6569, + "ĠTV": 6570, + "ords": 6571, + "Ġmaterials": 6572, + "Source": 6573, + "ober": 6574, + "widet": 6575, + "úb": 6576, + "Ġenem": 6577, + "ĠEvery": 6578, + "ERT": 6579, + "Ġsales": 6580, + "éģĩ": 6581, + "Ġreve": 6582, + "Ġbud": 6583, + "ĠAir": 6584, + "Ġdigital": 6585, + "Ġsweet": 6586, + "Ġconvers": 6587, + "Ġweak": 6588, + "ĠThus": 6589, + "Ġscen": 6590, + "æķ°æį®": 6591, + "Ġinvolved": 6592, + "SD": 6593, + "Ġplayers": 6594, + "Ġmiles": 6595, + "urrent": 6596, + "ĠArt": 6597, + "ĠSept": 6598, + "Ġfloor": 6599, + "ĠRuss": 6600, + "ĠGovern": 6601, + "Ġprograms": 6602, + "cks": 6603, + "ims": 6604, + "Ġselection": 6605, + "Ġpresented": 6606, + "Ġrev": 6607, + "inte": 6608, + "ĠкÑĢа": 6609, + "clusion": 6610, + "Ġwel": 6611, + "Ġsmaller": 6612, + "Ġcandid": 6613, + "ums": 6614, + "Ġerrors": 6615, + "hold": 6616, + "Ġotherwise": 6617, + "ĠDay": 6618, + "Ðĺз": 6619, + "Stream": 6620, + "prime": 6621, + "ln": 6622, + "çĶļ": 6623, + "Str": 6624, + "Ġmanera": 6625, + "é£ŀ": 6626, + "Ġstood": 6627, + "swe": 6628, + "Ġhappened": 6629, + "free": 6630, + "Ġbul": 6631, + "Ġvirtual": 6632, + "Ġobjects": 6633, + "fill": 6634, + "Image": 6635, + "}-": 6636, + "Well": 6637, + "inding": 6638, + "night": 6639, + "inger": 6640, + "Ġnegative": 6641, + "ä¸Ģèµ·": 6642, + "Ġmaybe": 6643, + "Ġteac": 6644, + "they": 6645, + "iation": 6646, + "Ġstock": 6647, + "Ġnorm": 6648, + "ĠCour": 6649, + "åIJ«": 6650, + ")]": 6651, + "ruit": 6652, + "Ġprove": 6653, + "empor": 6654, + "çľĭåĪ°": 6655, + "bon": 6656, + "HER": 6657, + "ĠMa": 6658, + "Ġexternal": 6659, + "ĠInter": 6660, + ".--": 6661, + "ä»ĺ": 6662, + "thm": 6663, + "ĠÃł": 6664, + "çī¹åĪ«": 6665, + "Ġprimary": 6666, + "olf": 6667, + "Ġearn": 6668, + "Ġproduce": 6669, + "Ġsession": 6670, + "IF": 6671, + "Ġclub": 6672, + "ĠRo": 6673, + "Ġtransport": 6674, + "Ġcommit": 6675, + "åħŃ": 6676, + "usiness": 6677, + "åĵª": 6678, + "elled": 6679, + "éĨ": 6680, + "åģ¥åº·": 6681, + "ÐĶ": 6682, + "'.": 6683, + "çݯå¢ĥ": 6684, + "umin": 6685, + "Ġquan": 6686, + "Ġplans": 6687, + "Ġhelps": 6688, + "iler": 6689, + "Ġnombre": 6690, + "GB": 6691, + "itute": 6692, + "Ġwat": 6693, + "ĠAugust": 6694, + "Ġdedic": 6695, + "ĠComm": 6696, + "ĠĠ|": 6697, + "widetilde": 6698, + "Ġglass": 6699, + "æĢİä¹Ī": 6700, + "Ġintent": 6701, + "Ġappreci": 6702, + "Ġreported": 6703, + "åĤ": 6704, + "nonumber": 6705, + "Ġplayer": 6706, + "target": 6707, + "scale": 6708, + "å¹´çļĦ": 6709, + "ĠFeb": 6710, + "Ġexcellent": 6711, + "Ġstudent": 6712, + "Ġalgorithm": 6713, + "system": 6714, + "Ġunderstanding": 6715, + "æĭĽ": 6716, + "Ġexplain": 6717, + "Ġpero": 6718, + "Ġhistor": 6719, + "ĠCO": 6720, + "Ġherself": 6721, + "éĴŁ": 6722, + "These": 6723, + "Ġrights": 6724, + "Group": 6725, + "ĠTra": 6726, + "ĠMat": 6727, + "Ġnational": 6728, + "Ġaspect": 6729, + "Ġreflect": 6730, + "Pol": 6731, + "options": 6732, + "Ġincreasing": 6733, + "aign": 6734, + "otion": 6735, + "icrosoft": 6736, + "Ġaware": 6737, + "Ġfab": 6738, + "claim": 6739, + "Ġwasn": 6740, + "arp": 6741, + "æĿ¥è¯´": 6742, + "ran": 6743, + "ĠMich": 6744, + "é¢Ŀ": 6745, + "Ġplaced": 6746, + "after": 6747, + ";&": 6748, + "ä»ĸçļĦ": 6749, + "\"../": 6750, + "Ġheavy": 6751, + "åĿĹ": 6752, + "Ġprot": 6753, + "Ġbasic": 6754, + "Ġdues": 6755, + "Ġseves": 6756, + "Ġprojects": 6757, + "Ġargument": 6758, + "éķĩ": 6759, + "Ġult": 6760, + "ç½Ĺ": 6761, + "Ġsett": 6762, + "Ġwild": 6763, + "Ġsufficient": 6764, + "ĠPresident": 6765, + "Ġdut": 6766, + "ĠPaul": 6767, + "Ġpages": 6768, + "ĠТо": 6769, + "ĠJes": 6770, + "ĠTom": 6771, + "çĹĽ": 6772, + "Ġdoc": 6773, + "Ġshape": 6774, + "Us": 6775, + "Ġinterpret": 6776, + "Acc": 6777, + "Ġstorage": 6778, + "never": 6779, + "ecut": 6780, + "Ġpels": 6781, + "Ġchalleng": 6782, + "веÑĢ": 6783, + "Ġevening": 6784, + "Ġcloud": 6785, + "è§īå¾Ĺ": 6786, + "CL": 6787, + "Ġhuge": 6788, + "Ġcomments": 6789, + "Ġdaily": 6790, + "Ġnav": 6791, + "åī§": 6792, + "Ġrock": 6793, + "alla": 6794, + "ç²ī": 6795, + "Ġsmooth": 6796, + "Ġterminal": 6797, + "ĠMont": 6798, + "åħ¶ä¸Ń": 6799, + "Ġsale": 6800, + "第äºĮ": 6801, + "ervices": 6802, + "Ġlack": 6803, + "Ġtalking": 6804, + "å¥Ĺ": 6805, + "ĠEven": 6806, + "ĠDirect": 6807, + "osen": 6808, + "XX": 6809, + "Ġforms": 6810, + "netic": 6811, + "å·¦": 6812, + "Ġdise": 6813, + "Ġcreating": 6814, + "Ġbuff": 6815, + "Ġadministr": 6816, + "eds": 6817, + "ifest": 6818, + "Ġtrain": 6819, + "Ġ<<": 6820, + "аÑĢи": 6821, + "Ġté": 6822, + "Ġresource": 6823, + "ounced": 6824, + "ĠMal": 6825, + "certain": 6826, + "ĠJap": 6827, + "èī¯": 6828, + "Ġfaith": 6829, + "åĵģçīĮ": 6830, + "ĉpublic": 6831, + "stream": 6832, + "夫": 6833, + "Ġchurch": 6834, + "ĠÑİ": 6835, + "ĠSection": 6836, + "\\[": 6837, + "Ġunless": 6838, + "Ġguard": 6839, + "ел": 6840, + "---": 6841, + "æѦ": 6842, + "å·´": 6843, + "nica": 6844, + "lor": 6845, + "km": 6846, + "Ġpresident": 6847, + "erved": 6848, + "Ġmotor": 6849, + "rial": 6850, + "Ġwhatever": 6851, + "Ġmeas": 6852, + "ĠDev": 6853, + "Ġappropriate": 6854, + "é¼": 6855, + "Ġkill": 6856, + "æł¹æį®": 6857, + "SON": 6858, + "PA": 6859, + "IO": 6860, + "ÑĢен": 6861, + "ĠSir": 6862, + "åį«": 6863, + "acters": 6864, + "Ġhy": 6865, + "Ġparents": 6866, + "è¿Ļæĺ¯": 6867, + "fa": 6868, + "åħ«": 6869, + "é¡»": 6870, + "åı³": 6871, + "][": 6872, + "Ġbehavior": 6873, + "Ġfurn": 6874, + "uid": 6875, + "edia": 6876, + "pg": 6877, + "Ġej": 6878, + "Ġsupported": 6879, + "append": 6880, + "Ġsources": 6881, + "Ġreduce": 6882, + "Ġthank": 6883, + "Ġrap": 6884, + "æĪijçļĦ": 6885, + "aren": 6886, + "Ġwave": 6887, + "aud": 6888, + "ança": 6889, + "Ġreached": 6890, + "tex": 6891, + "ĠRef": 6892, + "Ġdemonstr": 6893, + "Ġbelong": 6894, + "ĠInc": 6895, + "Ge": 6896, + "Ġstri": 6897, + "ĠJack": 6898, + "Ġopened": 6899, + "IST": 6900, + "Ãłria": 6901, + "Any": 6902, + "tabular": 6903, + "ĠJuly": 6904, + "Ġsequence": 6905, + ")-": 6906, + "Ġcore": 6907, + "Ġdeveloped": 6908, + "Ġencour": 6909, + "Ġupper": 6910, + "Ġremoved": 6911, + "èĥĮ": 6912, + "clos": 6913, + "æ¶Īè´¹": 6914, + "ĠÑĤа": 6915, + "Ġyield": 6916, + "Ġactivities": 6917, + "ä¸ĢèĪ¬": 6918, + "iance": 6919, + "Ġима": 6920, + "Ġbool": 6921, + "ĠTable": 6922, + "Ġskills": 6923, + "Ġsafety": 6924, + "Ġfolder": 6925, + "apers": 6926, + "Ġsell": 6927, + "ä»ĭ": 6928, + "eless": 6929, + "Ġactivity": 6930, + "ĠTime": 6931, + "json": 6932, + "缸åħ³": 6933, + "Builder": 6934, + "åģĩ": 6935, + "Rem": 6936, + "ĠCounty": 6937, + "Ġmoved": 6938, + "Ġcircum": 6939, + "éĵģ": 6940, + "ĠKe": 6941, + "Ġrelative": 6942, + "Ġpeace": 6943, + "Ġpresence": 6944, + "ĠHist": 6945, + "prop": 6946, + "strong": 6947, + "Ġorigin": 6948, + "Ġtrav": 6949, + "īs": 6950, + "ospital": 6951, + "Pos": 6952, + "汽车": 6953, + "çĸ«": 6954, + "æħ¢": 6955, + "Ġdecor": 6956, + "æľĢåIJİ": 6957, + "Ġsuccessful": 6958, + "ĠAfr": 6959, + "process": 6960, + "Box": 6961, + "root": 6962, + "Ġindu": 6963, + "Ġgenerated": 6964, + "Status": 6965, + "Ġhusband": 6966, + "Ġdones": 6967, + "Âłanys": 6968, + "ART": 6969, + "Me": 6970, + "force": 6971, + "Ġcoordin": 6972, + "Ġamazing": 6973, + "Ġpaid": 6974, + "Ġtour": 6975, + "ĠTw": 6976, + "ĠLog": 6977, + "Ġdie": 6978, + "Ġprotected": 6979, + "Ġdomain": 6980, + "乡": 6981, + "ĠOR": 6982, + "~$": 6983, + "ĠGreat": 6984, + "Ġdetermine": 6985, + "ears": 6986, + "Ġcomen": 6987, + "ä¸ĵä¸ļ": 6988, + "Ġexamples": 6989, + "ç©¿": 6990, + "Ġdry": 6991, + "Ġlegal": 6992, + "Ġagree": 6993, + "Ġnovel": 6994, + "ĠAustral": 6995, + "ä»·æł¼": 6996, + "Ġmedical": 6997, + "Desc": 6998, + "defined": 6999, + "ĠNote": 7000, + "Ġpressure": 7001, + "ä¹ħ": 7002, + "berg": 7003, + "possible": 7004, + "ĠDel": 7005, + "æĴŃ": 7006, + "bel": 7007, + "dl": 7008, + "Ġhous": 7009, + "rier": 7010, + "there": 7011, + "Ġinsurance": 7012, + "Ġvert": 7013, + "depend": 7014, + "coming": 7015, + "纪": 7016, + "Thanks": 7017, + "alls": 7018, + "Ġpublished": 7019, + "åįĸ": 7020, + "ography": 7021, + "ĠService": 7022, + "åºŃ": 7023, + "Ġproceed": 7024, + "Ġcosts": 7025, + "临": 7026, + "å¯Ĩ": 7027, + "ä»Ĭ天": 7028, + "YPE": 7029, + "ĠSk": 7030, + "审": 7031, + "UB": 7032, + "vest": 7033, + "Ġcountries": 7034, + "ĠCr": 7035, + "ĠBel": 7036, + "Ġmargin": 7037, + "Ġeffort": 7038, + "Ġseparate": 7039, + "Ġnord": 7040, + "kg": 7041, + "ç«ł": 7042, + "Ġtrip": 7043, + "Ġpray": 7044, + "Ġcouldn": 7045, + "Ġnamed": 7046, + "Ġaquesta": 7047, + "Ġwrote": 7048, + "ala": 7049, + "ĠFile": 7050, + "Ġú": 7051, + "Ġdamage": 7052, + "Ġrank": 7053, + "Ġguide": 7054, + "ÑĢÑı": 7055, + "xml": 7056, + "Ġspot": 7057, + "Ġproviding": 7058, + "åĽłæѤ": 7059, + "column": 7060, + "нÑı": 7061, + "burg": 7062, + "зо": 7063, + "åıªæľī": 7064, + "iber": 7065, + "ĠOther": 7066, + "Ġdirector": 7067, + "Ġsegü": 7068, + "端": 7069, + "Ġpatients": 7070, + "Ġhappens": 7071, + "Ġcontra": 7072, + "Ãłt": 7073, + "Ġevidence": 7074, + "产ä¸ļ": 7075, + "æĸ¹æ³ķ": 7076, + "æī¹": 7077, + "ä¼¼": 7078, + "æĶ¿åºľ": 7079, + "Ġleaders": 7080, + "Ġfavorite": 7081, + "allel": 7082, + "Ġfellow": 7083, + "inet": 7084, + "Ġdanger": 7085, + "Ġpolitical": 7086, + "Ġinternet": 7087, + "Ġmissing": 7088, + "Ġoperator": 7089, + "ás": 7090, + "igger": 7091, + "ä½Ļ": 7092, + "ivo": 7093, + "ĠlÃŃ": 7094, + "Ġcontinued": 7095, + "è¡£": 7096, + "Ġinsert": 7097, + "Since": 7098, + "gest": 7099, + "稳": 7100, + "cat": 7101, + "ĠBer": 7102, + "å¥ĩ": 7103, + "iol": 7104, + "ĠBook": 7105, + "Ġinstallation": 7106, + "Ġbes": 7107, + "亮": 7108, + "anging": 7109, + "^+": 7110, + "dr": 7111, + "imin": 7112, + "########": 7113, + "пÑĥ": 7114, + "Check": 7115, + "ded": 7116, + "ÑĤоÑĩни": 7117, + "TP": 7118, + "Ġmonitor": 7119, + "Ġcounter": 7120, + "ĠпÑĢа": 7121, + "Ġspecified": 7122, + "åĨħ容": 7123, + "outer": 7124, + "Ġvariables": 7125, + "å¸ĮæľĽ": 7126, + "DD": 7127, + "habitants": 7128, + "Ġseeing": 7129, + "Ġdetermined": 7130, + "Ġpopulation": 7131, + "宣": 7132, + "jar": 7133, + "ĠDavid": 7134, + "å¹³åı°": 7135, + "Ġloved": 7136, + "Ġpanel": 7137, + "Ġspent": 7138, + "Ġdem": 7139, + "æī§": 7140, + "ĠSeg": 7141, + "Off": 7142, + "Ġempty": 7143, + "ovember": 7144, + "Ġpark": 7145, + "ĠHealth": 7146, + "Ġthick": 7147, + "Ġobvious": 7148, + "æĭį": 7149, + "Ġcentre": 7150, + "asks": 7151, + "ĠMo": 7152, + "Ġcontr": 7153, + "è¿ĩç¨ĭ": 7154, + "ĠOh": 7155, + "ĠCast": 7156, + "úblic": 7157, + "å®ŀçİ°": 7158, + ">Ġ<": 7159, + "EM": 7160, + "ĠHome": 7161, + "stract": 7162, + "Ġmur": 7163, + "uest": 7164, + "ĠFe": 7165, + "ĠSpec": 7166, + "phone": 7167, + "CA": 7168, + "ÑĨе": 7169, + "ector": 7170, + "Ġharm": 7171, + "Ġconsequ": 7172, + "ĠConst": 7173, + "will": 7174, + "args": 7175, + "åŃ¦æł¡": 7176, + "cember": 7177, + "othes": 7178, + "ensor": 7179, + "Ġburn": 7180, + "Ġideal": 7181, + "éŃ": 7182, + "IA": 7183, + "Ġelectron": 7184, + "Ġми": 7185, + "åį°": 7186, + "éº": 7187, + "hentic": 7188, + "').": 7189, + "Base": 7190, + "Ġdescribe": 7191, + "åĪĺ": 7192, + "font": 7193, + "Hist": 7194, + "appe": 7195, + "ĠMost": 7196, + "ĠÑĦон": 7197, + "Ðĵ": 7198, + "Ġsigu": 7199, + "idents": 7200, + "Ġsymbol": 7201, + "Ġmeant": 7202, + "åĮĹ京": 7203, + "æ³¢": 7204, + "dy": 7205, + "ĠBritish": 7206, + "Util": 7207, + "GL": 7208, + "âĶĢ": 7209, + "Ġchannel": 7210, + "åĪ»": 7211, + "fast": 7212, + "Ġmine": 7213, + "Ġtables": 7214, + "ĠIP": 7215, + "Ġpurchase": 7216, + "åħ³ç³»": 7217, + "Ġlearned": 7218, + "çĶļèĩ³": 7219, + "ĠпÑĬÑĢ": 7220, + "çĶŁäº§": 7221, + "ãģ": 7222, + "Ġadjust": 7223, + "cell": 7224, + "æ¯Ĵ": 7225, + "Ġplayed": 7226, + "Ġconserv": 7227, + "Ġин": 7228, + "ç»Ħç»ĩ": 7229, + "Em": 7230, + "Ġadding": 7231, + "об": 7232, + "ani": 7233, + "Ġbath": 7234, + "Ġtoward": 7235, + "endo": 7236, + "cit": 7237, + "Ġcritical": 7238, + "Ġearlier": 7239, + "ĠCalif": 7240, + "çķ¥": 7241, + ":\\": 7242, + "ĠFrance": 7243, + "å¥ĸ": 7244, + "Post": 7245, + "tra": 7246, + "riage": 7247, + "Ġboolean": 7248, + "module": 7249, + "icol": 7250, + "cr": 7251, + "Ġcant": 7252, + "mem": 7253, + "ä¹İ": 7254, + "Ġsen": 7255, + "Create": 7256, + "ĠSen": 7257, + "should": 7258, + "æīĭæľº": 7259, + "Ġreasons": 7260, + "Content": 7261, + "Ġthread": 7262, + "Ġquiet": 7263, + "ĠFree": 7264, + "iders": 7265, + "ĠHel": 7266, + "виÑı": 7267, + "Ġgar": 7268, + "unya": 7269, + "aments": 7270, + "Ġrequirements": 7271, + "Last": 7272, + "ĠUs": 7273, + "mid": 7274, + "ĠVer": 7275, + "Ġtrade": 7276, + "Ġgra": 7277, + "}]": 7278, + "Ġdepends": 7279, + "æĿ¾": 7280, + "ĠHT": 7281, + "Ġfell": 7282, + "éĺ¿": 7283, + "Ġbra": 7284, + "Ġran": 7285, + "Ġvill": 7286, + "xa": 7287, + "Ġparticularly": 7288, + "fortun": 7289, + "绾": 7290, + "anç": 7291, + "Т": 7292, + "ванеÑĤо": 7293, + "AV": 7294, + "rome": 7295, + "Ġwonderful": 7296, + "ĠJanuary": 7297, + "Ġeasier": 7298, + "Ġadvantage": 7299, + "ae": 7300, + "header": 7301, + "Ġби": 7302, + "Å¡": 7303, + "show": 7304, + "zeta": 7305, + "Ġdecre": 7306, + "ictionary": 7307, + "rypt": 7308, + "ĠJose": 7309, + "ĠUse": 7310, + "å½ķ": 7311, + "func": 7312, + "Ġspread": 7313, + "楼": 7314, + "Ġkitchen": 7315, + "Point": 7316, + "ĠUK": 7317, + "urity": 7318, + "Ġinstant": 7319, + "Ġlatter": 7320, + "sembly": 7321, + "Ġspin": 7322, + "river": 7323, + "jav": 7324, + "Ġincreased": 7325, + "ĠLaw": 7326, + "Ġsites": 7327, + "inder": 7328, + "ercial": 7329, + "\"]": 7330, + "åIJĹ": 7331, + "namespace": 7332, + "ç¬ij": 7333, + "Ġdomin": 7334, + "Ġmagn": 7335, + "Ġsurround": 7336, + "when": 7337, + "ĠFace": 7338, + "äºĨ解": 7339, + "Ġcareer": 7340, + "Ġproduced": 7341, + "ude": 7342, + "star": 7343, + "*/": 7344, + "Ġda": 7345, + "зе": 7346, + "Ġtick": 7347, + "åª": 7348, + "èĭ¦": 7349, + "CP": 7350, + "Ġtempl": 7351, + "Ġelectric": 7352, + "容æĺĵ": 7353, + "Go": 7354, + "Arg": 7355, + "Ġrich": 7356, + "èĩªçĦ¶": 7357, + "Ġmobile": 7358, + "ancing": 7359, + "vari": 7360, + "Ġwouldn": 7361, + "ĠCong": 7362, + "ç»ĥ": 7363, + "src": 7364, + "ĠCheck": 7365, + "Ġshowed": 7366, + "åįł": 7367, + "åĮ»éĻ¢": 7368, + "Ġtorn": 7369, + "ÑģкиÑĤе": 7370, + "Ġdrink": 7371, + "Ġfinished": 7372, + "ensional": 7373, + "ĠMil": 7374, + "Ġflat": 7375, + "adata": 7376, + "Ñĥл": 7377, + "Ġren": 7378, + "Ġcivil": 7379, + "idad": 7380, + "ĠÑĩ": 7381, + "ederal": 7382, + "ĠDem": 7383, + "Ġ(*": 7384, + "ĠAssoci": 7385, + "ĠWell": 7386, + "ĠTheorem": 7387, + "acement": 7388, + "zen": 7389, + "ÑĤоÑĩниÑĨи": 7390, + "perties": 7391, + "Don": 7392, + "cy": 7393, + "Ġbirth": 7394, + "Ste": 7395, + "Spec": 7396, + "command": 7397, + "éĻĪ": 7398, + "ÑĤÑĢо": 7399, + "Ġ==Ġ": 7400, + "Ġhaven": 7401, + "ä¸įä»ħ": 7402, + "Ġestud": 7403, + "丰": 7404, + "Ġadvice": 7405, + "edge": 7406, + "Rep": 7407, + "Ġped": 7408, + "çĶ±äºİ": 7409, + "\\]": 7410, + "æ´Ĺ": 7411, + "ĠMount": 7412, + "Ġpictures": 7413, + "ĠMary": 7414, + "Sim": 7415, + "Ġpaint": 7416, + "è¿Ļæł·çļĦ": 7417, + "Ġdear": 7418, + "Ġpros": 7419, + "Ġmut": 7420, + "注æĦı": 7421, + "ucle": 7422, + "ĠSam": 7423, + "enu": 7424, + "bottom": 7425, + "Ġdaughter": 7426, + "Are": 7427, + "close": 7428, + "Ġpun": 7429, + "status": 7430, + "Ġrespond": 7431, + "ĠFROM": 7432, + "Ġholds": 7433, + "ributions": 7434, + "Ġpool": 7435, + "ä½ľçĶ¨": 7436, + "Ġequipment": 7437, + "è½½": 7438, + "åĽ½éĻħ": 7439, + "Ġshowing": 7440, + "ATION": 7441, + "ĠMet": 7442, + "ĠEq": 7443, + "ila": 7444, + "Ġcharacters": 7445, + "èĮ¶": 7446, + "èĹ": 7447, + "ĠChurch": 7448, + "ĠEX": 7449, + "åŁºæľ¬": 7450, + "Head": 7451, + "Ġcarried": 7452, + "ĠUnits": 7453, + "REE": 7454, + "aria": 7455, + "Ġer": 7456, + "ĠTor": 7457, + "{}": 7458, + "Default": 7459, + "ads": 7460, + "BC": 7461, + "layout": 7462, + "Ġbow": 7463, + "Ġbenefits": 7464, + "skip": 7465, + "ourney": 7466, + "Ġknows": 7467, + "Ġpin": 7468, + "oles": 7469, + "Ġshot": 7470, + ">Ġ": 7471, + "Ġexception": 7472, + "fit": 7473, + "Ġforg": 7474, + "Fe": 7475, + "Ġfan": 7476, + "Command": 7477, + "ĠThanks": 7478, + "Ġgrowing": 7479, + "oca": 7480, + "ĠType": 7481, + "æįŁ": 7482, + "Ġshared": 7483, + "åľ°æĸ¹": 7484, + "Ġopinion": 7485, + "eries": 7486, + "Ġwid": 7487, + "ĠÐļо": 7488, + "ribe": 7489, + "Ġund": 7490, + "Ġbroken": 7491, + "Ġdatos": 7492, + "swered": 7493, + "顺": 7494, + "Ġhighest": 7495, + "ĠIndia": 7496, + "Ġfarm": 7497, + "Ġemerg": 7498, + "ĠStreet": 7499, + "âĶĤ": 7500, + "Ġconj": 7501, + "Ġrace": 7502, + "Ġphotos": 7503, + "è¿ĻéĩĮ": 7504, + "Ġiter": 7505, + "Ġlibrary": 7506, + "SELECT": 7507, + "Ġdefin": 7508, + "finished": 7509, + "________": 7510, + "ĠIII": 7511, + "aming": 7512, + "Ġrates": 7513, + "Ġwaiting": 7514, + "å³": 7515, + "Ġruns": 7516, + "Fl": 7517, + "Some": 7518, + "reme": 7519, + "ĠJames": 7520, + "omin": 7521, + "Ġefficient": 7522, + "Ġrent": 7523, + "Ġtu": 7524, + "Ġresolution": 7525, + "Ġstars": 7526, + "ologia": 7527, + "Ġfinding": 7528, + "itzar": 7529, + "Ġmac": 7530, + "å¦Ĥä½ķ": 7531, + "Component": 7532, + "Ġverb": 7533, + "ä¸Ģ次": 7534, + "ĠRich": 7535, + "Ġstudies": 7536, + "ste": 7537, + "ĠTherefore": 7538, + "adow": 7539, + "ĠGreen": 7540, + "win": 7541, + "æĹı": 7542, + "Ġoffered": 7543, + "å¯Ł": 7544, + "Ġremains": 7545, + "Ġremark": 7546, + "Ġminimum": 7547, + "ĠÑĤова": 7548, + "Ġdru": 7549, + "who": 7550, + "abilities": 7551, + "Instance": 7552, + "rÃł": 7553, + "Ġmir": 7554, + "åıªæĺ¯": 7555, + "itu": 7556, + "AND": 7557, + "åĬ³": 7558, + "ĠÎ": 7559, + "Ġocup": 7560, + "追": 7561, + "кан": 7562, + "Ġmarketing": 7563, + "Ġarrib": 7564, + "ĠSeptember": 7565, + "Ġillustr": 7566, + "ĠGood": 7567, + "åī¯": 7568, + "rl": 7569, + "Ġhorse": 7570, + "tee": 7571, + "ä¸įæĸŃ": 7572, + "Ġwants": 7573, + "alg": 7574, + "Ġshut": 7575, + "fess": 7576, + "KE": 7577, + "private": 7578, + "Ġreturns": 7579, + "ĠOctober": 7580, + "Token": 7581, + "æĽ´å¤ļ": 7582, + "Ġta": 7583, + "(-": 7584, + "çļĦäºĭ": 7585, + "Ġfuncion": 7586, + "Ġmedic": 7587, + "Ġhacer": 7588, + "ĠYes": 7589, + "çīĽ": 7590, + "Ġanswered": 7591, + "Sp": 7592, + "Ġfinite": 7593, + "æĵį": 7594, + "Ġprepar": 7595, + "di": 7596, + "Ġspend": 7597, + ")}\\": 7598, + "ashington": 7599, + "ĠFigure": 7600, + "èĨ": 7601, + "Ġprobability": 7602, + "ownload": 7603, + "Ġdoctor": 7604, + "Gener": 7605, + "ĠPre": 7606, + "ĠPet": 7607, + "Ġeste": 7608, + "Ġкон": 7609, + "ruary": 7610, + "bro": 7611, + "涨": 7612, + "before": 7613, + "Oper": 7614, + "Ġtag": 7615, + "Ġequivalent": 7616, + "Ġvs": 7617, + "Ġpackages": 7618, + "Your": 7619, + "Ġinternational": 7620, + "Ġusual": 7621, + "Open": 7622, + "||": 7623, + "duc": 7624, + "Ġsymmet": 7625, + "Ġax": 7626, + "More": 7627, + "æĭ¥": 7628, + "ÃŃc": 7629, + "ĠLinux": 7630, + "Ġstress": 7631, + "icious": 7632, + "Ġcaused": 7633, + "å¤ľ": 7634, + "ĠObject": 7635, + "lands": 7636, + "element": 7637, + "ÐĺзÑĤоÑĩниÑĨи": 7638, + "ç¨İ": 7639, + "Ġtrees": 7640, + "йÑĤо": 7641, + "Ġhabitatges": 7642, + "èĦij": 7643, + "Ġadm": 7644, + "Am": 7645, + "ĠSu": 7646, + "Ġsounds": 7647, + "sg": 7648, + "Bl": 7649, + "Ġtract": 7650, + "ĠGal": 7651, + "ror": 7652, + "Ġdied": 7653, + "Phone": 7654, + "åŁ¹": 7655, + "ĠCatalunya": 7656, + "Ġdefinitely": 7657, + "Ġforget": 7658, + "è¿Ľåħ¥": 7659, + "Ġexhib": 7660, + "front": 7661, + "control": 7662, + "Ġpure": 7663, + "ston": 7664, + "Ġseconds": 7665, + "bles": 7666, + "iente": 7667, + "丽": 7668, + "æľ¨": 7669, + "Ġcovered": 7670, + "æ¯Ľ": 7671, + "Ġsimpl": 7672, + "While": 7673, + "Ġstation": 7674, + "number": 7675, + "doc": 7676, + "Action": 7677, + "Ġstrugg": 7678, + "rate": 7679, + "Ġindividuals": 7680, + "Ġappeared": 7681, + "Ġexpand": 7682, + "term": 7683, + "Ġadapt": 7684, + "Ġconstraint": 7685, + "Ġguarant": 7686, + "Ġthr": 7687, + "Ġrelevant": 7688, + "Ġglad": 7689, + "PR": 7690, + "ĠInternational": 7691, + "é¢ij": 7692, + "æĦŁè§ī": 7693, + "æ¯ķ": 7694, + "make": 7695, + "{{\\": 7696, + "format": 7697, + "exec": 7698, + "Ġconven": 7699, + "Ġtransl": 7700, + "Ġenh": 7701, + "Ġurl": 7702, + "¤IJ": 7703, + "ULT": 7704, + "aptop": 7705, + "è½®": 7706, + "some": 7707, + "Ġsight": 7708, + "çĹĩ": 7709, + "ĠSur": 7710, + "Ġoverall": 7711, + "emp": 7712, + "缺": 7713, + "Ġcart": 7714, + "Ġmanager": 7715, + "ĠChristian": 7716, + "Ġвой": 7717, + "Ġexpert": 7718, + "Ġrows": 7719, + "鼨": 7720, + "nÃŃ": 7721, + "textwidth": 7722, + "han": 7723, + "è¾Ĩ": 7724, + "Ġanc": 7725, + "зва": 7726, + "PT": 7727, + "éĿ©": 7728, + "Min": 7729, + "Ġborn": 7730, + "terior": 7731, + "Ġlloc": 7732, + "Ġubuntu": 7733, + "èĵ": 7734, + "Ġveloc": 7735, + "else": 7736, + "common": 7737, + "ometry": 7738, + "Ġstrategy": 7739, + "ĠFound": 7740, + "ushed": 7741, + "Back": 7742, + "ĠForm": 7743, + "ĠкÑĬм": 7744, + "ç¯": 7745, + "Hel": 7746, + "ĠNone": 7747, + "Ġsquare": 7748, + "heet": 7749, + "gin": 7750, + "Ġmotion": 7751, + "aturday": 7752, + "vo": 7753, + "DA": 7754, + "Ġthanks": 7755, + "gebra": 7756, + "\\\"": 7757, + "Ġtab": 7758, + "çĦ¶åIJİ": 7759, + "Sty": 7760, + "UI": 7761, + "apa": 7762, + "Ġautomatically": 7763, + "mt": 7764, + "sche": 7765, + "$^": 7766, + "Ġye": 7767, + "Ġcit": 7768, + "Ġlaugh": 7769, + "Ġcrow": 7770, + "ÑĪа": 7771, + "crete": 7772, + "Ġclearly": 7773, + "poses": 7774, + "Ġluck": 7775, + "del": 7776, + "Handler": 7777, + "Ġstick": 7778, + "令": 7779, + "Ġoperations": 7780, + "Ġpert": 7781, + "Ġoccup": 7782, + "Ġenable": 7783, + "åĬŁèĥ½": 7784, + "åŃĺåľ¨": 7785, + "ascript": 7786, + "ellig": 7787, + "estern": 7788, + "Ġrelation": 7789, + "缴æİ¥": 7790, + "Ġopening": 7791, + "è´µ": 7792, + "é±": 7793, + "æĪIJåĬŁ": 7794, + "ĉĉĉĉĉĉĉĉ": 7795, + "ĠкоиÑĤо": 7796, + "Ġcampaign": 7797, + "èĤ¤": 7798, + "inf": 7799, + "èĥľ": 7800, + "ĠÐŁÑĢез": 7801, + "Ġproperly": 7802, + "}_\\": 7803, + "Ġsac": 7804, + "Ġcó": 7805, + "Ġdu": 7806, + "ĠGroup": 7807, + "èĪª": 7808, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 7809, + "SI": 7810, + "Ġadvance": 7811, + "Ġarchitect": 7812, + "âķ": 7813, + "enses": 7814, + "Ġextract": 7815, + "Pre": 7816, + "彩": 7817, + "split": 7818, + "update": 7819, + "èİ·å¾Ĺ": 7820, + "ounce": 7821, + "DC": 7822, + "ĠChina": 7823, + "åĩĢ": 7824, + "åħ¨åĽ½": 7825, + "ĠLou": 7826, + "Load": 7827, + "iors": 7828, + "icles": 7829, + "èt": 7830, + "edding": 7831, + "engo": 7832, + "ĠMem": 7833, + "Link": 7834, + "izations": 7835, + "ĠPlay": 7836, + "ĠQue": 7837, + "Ġvent": 7838, + "Ġнай": 7839, + ";\"": 7840, + "Ġsoul": 7841, + "ĠArm": 7842, + "ĠDet": 7843, + "Ġbenefit": 7844, + "Ġloop": 7845, + "бли": 7846, + "Ġdoll": 7847, + "å°±ä¼ļ": 7848, + "身ä½ĵ": 7849, + "Ġattract": 7850, + "åĽ°": 7851, + "Ġfif": 7852, + "posite": 7853, + "Ġlinks": 7854, + "èĢģå¸Ī": 7855, + "iture": 7856, + "vider": 7857, + "Ġgrav": 7858, + "rot": 7859, + "ras": 7860, + "ä¸Ģç§į": 7861, + "åı«": 7862, + "ĠFil": 7863, + "Ġprofile": 7864, + "Ġthou": 7865, + "ä¸Ŀ": 7866, + "Ġbird": 7867, + "дно": 7868, + "allow": 7869, + "ĠAM": 7870, + "Ġspl": 7871, + "é±¼": 7872, + "Ġslightly": 7873, + "ä¹Łä¸į": 7874, + "ĠDec": 7875, + "éĢĢ": 7876, + "Cell": 7877, + "Options": 7878, + "Ġbytes": 7879, + "ĠCollege": 7880, + "ĠFin": 7881, + "Ġrestrict": 7882, + "ž": 7883, + "ĠPM": 7884, + "åħ·æľī": 7885, + "Ġpush": 7886, + "Ġfranc": 7887, + "ització": 7888, + "Ġsetup": 7889, + "bb": 7890, + "anted": 7891, + "Ġnation": 7892, + "åĢŁ": 7893, + "ĠWhite": 7894, + "ONT": 7895, + "幸": 7896, + "нд": 7897, + "utely": 7898, + "Ġпа": 7899, + "ĠвÑĬв": 7900, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 7901, + "ental": 7902, + "ems": 7903, + "ombre": 7904, + "ä½Ľ": 7905, + "ä¸ĥ": 7906, + "ç§Ģ": 7907, + "æIJŃ": 7908, + "ĠReturn": 7909, + "Ġcried": 7910, + "òg": 7911, + "Please": 7912, + "ĠEnt": 7913, + "Ġorganization": 7914, + "Ġperformed": 7915, + "menu": 7916, + "Ġdeliver": 7917, + "éĿĻ": 7918, + "Ġtransition": 7919, + "Ġcomenç": 7920, + "orry": 7921, + "ç§ijæĬĢ": 7922, + "Resource": 7923, + "eder": 7924, + "ĠEach": 7925, + "Next": 7926, + "property": 7927, + "Null": 7928, + "æĭ¬": 7929, + "RL": 7930, + "Ġarms": 7931, + "Number": 7932, + "ĠШ": 7933, + "ette": 7934, + "âĤ": 7935, + "/.": 7936, + "ĠSunday": 7937, + "Ġinfluence": 7938, + "Ġicon": 7939, + "èĭı": 7940, + "ĠTechn": 7941, + "ingly": 7942, + "rael": 7943, + "Ġleaving": 7944, + "member": 7945, + "anges": 7946, + "ĠвÑĢе": 7947, + "acc": 7948, + "Ġpattern": 7949, + "asy": 7950, + "Ġplanning": 7951, + "ĠRobert": 7952, + "ç¬Ķ": 7953, + "è§Ħå®ļ": 7954, + "绿": 7955, + "ether": 7956, + "ĠÐĹа": 7957, + "ĠCompany": 7958, + "bum": 7959, + "æĶ»": 7960, + "ĠDC": 7961, + "ĠEstats": 7962, + "ĠEast": 7963, + "ĠNovember": 7964, + "è¾ĵ": 7965, + "ĠJer": 7966, + "以ä¸Ĭ": 7967, + "bound": 7968, + "Ġvisual": 7969, + "Ġseven": 7970, + "Ġprices": 7971, + "ö": 7972, + "vere": 7973, + "Ġreleased": 7974, + "lections": 7975, + "ifi": 7976, + "Ġди": 7977, + "widehat": 7978, + "åĿIJ": 7979, + "Ġhotel": 7980, + "reek": 7981, + "ÑģÑĤÑĢо": 7982, + "Det": 7983, + "Page": 7984, + "Ġsuc": 7985, + "ĠDan": 7986, + "Ġregist": 7987, + "纳": 7988, + "åĪ¤": 7989, + "ĠTH": 7990, + "ĠDecember": 7991, + "Ġupdated": 7992, + "Ãłr": 7993, + "ĠThom": 7994, + "èĸ": 7995, + "Ġring": 7996, + "ĠLo": 7997, + "Ġdetail": 7998, + "Ġchanging": 7999, + "ĠWhe": 8000, + "æłĩåĩĨ": 8001, + "diff": 8002, + "ÑģÑĤвоÑĤо": 8003, + "Ġassign": 8004, + "ĠMill": 8005, + "Ġextremely": 8006, + "ä¸Ģä¸ĭ": 8007, + "Ġappoint": 8008, + "Ġcompleted": 8009, + "Ġfrag": 8010, + "Ġassess": 8011, + "Ġsir": 8012, + "代表": 8013, + "real": 8014, + "ĠPrem": 8015, + "Ġли": 8016, + "两个": 8017, + "ĠкойÑĤо": 8018, + "SH": 8019, + "移": 8020, + "ivery": 8021, + "FT": 8022, + "Ġtesting": 8023, + "click": 8024, + "é¤IJ": 8025, + "å¼Ĥ": 8026, + "åħ°": 8027, + "æŃĮ": 8028, + "Ġtant": 8029, + "Listener": 8030, + "Ġvalor": 8031, + "èr": 8032, + "пÑĢа": 8033, + ";\\": 8034, + "Ġjun": 8035, + "Attribute": 8036, + "ÑıÑĤ": 8037, + "Ġили": 8038, + "Ġsmart": 8039, + "Ġreli": 8040, + "See": 8041, + "çĨŁ": 8042, + "Ġtemps": 8043, + "ä»Ĭå¹´": 8044, + "åįĪ": 8045, + "Ġchief": 8046, + "Ġdiferent": 8047, + "æıIJé«ĺ": 8048, + "clude": 8049, + "cdots": 8050, + "Ġonto": 8051, + "åĨ²": 8052, + "åĨ·": 8053, + "Ġtraditional": 8054, + "åįķä½į": 8055, + "PRO": 8056, + "Const": 8057, + "Ġthoughts": 8058, + "Ġprocesses": 8059, + "ĉvar": 8060, + "Char": 8061, + "éĿł": 8062, + "Ġpossess": 8063, + "åİŁåĽł": 8064, + "product": 8065, + "Ġthy": 8066, + "Click": 8067, + "пÑĢо": 8068, + "è®Ń": 8069, + "ructions": 8070, + "Ġmo": 8071, + "asant": 8072, + "Ġextension": 8073, + "ĠChristmas": 8074, + "Ġ\"\"\"": 8075, + "ÑģÑĤÑĢа": 8076, + "Ġphrase": 8077, + "Ġphoto": 8078, + "Ġregarding": 8079, + "uce": 8080, + "ĠOver": 8081, + "mic": 8082, + "Ġweather": 8083, + "Ġcircumst": 8084, + "Ġspring": 8085, + "Ġ<Ġ": 8086, + "were": 8087, + "ĠPo": 8088, + "etime": 8089, + "ç½ij绾": 8090, + "Ġoccasion": 8091, + "ornia": 8092, + "van": 8093, + "æ°¸": 8094, + "æ±ī": 8095, + "Ġcorner": 8096, + "ĠHen": 8097, + "lemma": 8098, + "Nav": 8099, + "æĢ¥": 8100, + "Ġaqu": 8101, + "Ġquals": 8102, + "Ġfactors": 8103, + "лоÑĤо": 8104, + "Ġolder": 8105, + "Ġinstr": 8106, + "Ġtruly": 8107, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 8108, + "ç²¾ç¥ŀ": 8109, + "Version": 8110, + "their": 8111, + "кÑģ": 8112, + "Ġcalls": 8113, + "Ġleads": 8114, + "INT": 8115, + "meta": 8116, + "Ġplus": 8117, + "Ġnative": 8118, + "ĠHot": 8119, + "Ġgirls": 8120, + "Ġextends": 8121, + "Els": 8122, + "Block": 8123, + "PL": 8124, + "Ġbaby": 8125, + "ixer": 8126, + "Ġsist": 8127, + "Ġneut": 8128, + "Ġscore": 8129, + "project": 8130, + "ameters": 8131, + "ĠRel": 8132, + "çģµ": 8133, + "Ġnou": 8134, + "Ġscene": 8135, + "驾": 8136, + "ãĢIJ": 8137, + "Ag": 8138, + "Ġintroduced": 8139, + "volution": 8140, + "Ġpowerful": 8141, + "bour": 8142, + "Ġestablished": 8143, + "Ġvehicle": 8144, + "Ġreplied": 8145, + "Label": 8146, + "ĠLED": 8147, + "ker": 8148, + "è¡Į为": 8149, + "èįī": 8150, + "Ġriver": 8151, + "Ġdelete": 8152, + "Ġapart": 8153, + "ÑģÑĬ": 8154, + "Ġfilled": 8155, + "friend": 8156, + "å¢ŀåĬł": 8157, + "Ġsand": 8158, + "çĸij": 8159, + "ashed": 8160, + "omorph": 8161, + "Ġpieces": 8162, + "ãĢij": 8163, + "output": 8164, + "æıIJåįĩ": 8165, + "Ġsecure": 8166, + "ncy": 8167, + "å®ĮæĪIJ": 8168, + "Ġfamilies": 8169, + "Ġlady": 8170, + "Ġthreat": 8171, + "Ġconeg": 8172, + "Ġtrouble": 8173, + "standing": 8174, + "Ġfashion": 8175, + "graph": 8176, + "agger": 8177, + "Ġ((": 8178, + "True": 8179, + "lis": 8180, + "Ġcombination": 8181, + "Ġusage": 8182, + "ä¸ĢæŃ¥": 8183, + "å·¥ç¨ĭ": 8184, + "ĠWork": 8185, + "Ġbug": 8186, + "produ": 8187, + "Server": 8188, + "ounter": 8189, + "çļĦ大": 8190, + "å®ģ": 8191, + "Ġpas": 8192, + "Ġstories": 8193, + "IB": 8194, + "Ġforth": 8195, + "mathsf": 8196, + "onday": 8197, + "ERR": 8198, + "dule": 8199, + "Ġwine": 8200, + "ueix": 8201, + "Ġrapid": 8202, + "ĠWashington": 8203, + "Ġ\\{": 8204, + "åIJĪä½ľ": 8205, + "ĠCas": 8206, + "Ġpatient": 8207, + "ĠAC": 8208, + "aa": 8209, + "Ġdro": 8210, + "ĠFriday": 8211, + "ĠDi": 8212, + "MM": 8213, + "Ġscience": 8214, + "Ġprocedure": 8215, + "Ġviews": 8216, + "Ġpersones": 8217, + "ĠGeorge": 8218, + "isation": 8219, + "Ġsociety": 8220, + "onic": 8221, + "tw": 8222, + "ÑĤÑĬÑĢ": 8223, + "Ġspecies": 8224, + "ев": 8225, + "åĩºäºĨ": 8226, + "desc": 8227, + "Ñģлед": 8228, + "Ġaren": 8229, + "Ġaim": 8230, + "Ġchosen": 8231, + "Ġscope": 8232, + "Ġflex": 8233, + "å¿ħé¡»": 8234, + "ĠUniversitat": 8235, + "çĶ³": 8236, + "operator": 8237, + "ĠCam": 8238, + "Frame": 8239, + "æķĪæŀľ": 8240, + "}/": 8241, + "ĠвÑĢеме": 8242, + "Ġconcent": 8243, + "ĠбÑĬлгаÑĢ": 8244, + "yr": 8245, + "ĠDepartment": 8246, + "push": 8247, + "Ġfat": 8248, + "Ġlad": 8249, + "Ġleaves": 8250, + "ĠCle": 8251, + "Ġprotection": 8252, + "æłij": 8253, + "èĭ¥": 8254, + "Ġcolors": 8255, + "ç«Ł": 8256, + "estival": 8257, + "})\\": 8258, + "comple": 8259, + "Ġneighbor": 8260, + "æ²Ļ": 8261, + "Ġlaws": 8262, + "ologies": 8263, + "è¡Ĺ": 8264, + "lam": 8265, + "Ġsuppose": 8266, + "åı¥": 8267, + "ждÑĥ": 8268, + "HERE": 8269, + "Ġprofession": 8270, + "ĠGold": 8271, + "Ġmovie": 8272, + "Ġimplies": 8273, + "ĠAtt": 8274, + "FO": 8275, + "åĢĴ": 8276, + "Ġforces": 8277, + "NE": 8278, + "èĦ¸": 8279, + "åľĪ": 8280, + "ĠView": 8281, + "Ġstreet": 8282, + "ito": 8283, + "Psi": 8284, + "ĠProgram": 8285, + "Ġveg": 8286, + "绩": 8287, + "ĠFacebook": 8288, + "Ġlots": 8289, + "Ġmig": 8290, + "Ġadopt": 8291, + "Ġshift": 8292, + "Ġcells": 8293, + "Ġим": 8294, + "Factory": 8295, + "Ġgift": 8296, + "Ġgenerate": 8297, + "Ġce": 8298, + "Ġcentury": 8299, + "}}}": 8300, + "Ġafford": 8301, + "Ġcommunication": 8302, + "Ġminute": 8303, + "maz": 8304, + "ä": 8305, + "Fig": 8306, + "表çİ°": 8307, + "oday": 8308, + "Ġlab": 8309, + "Ġrise": 8310, + "Ġmovement": 8311, + "ĠClub": 8312, + "梦": 8313, + "æĬĹ": 8314, + "è¿IJåĬ¨": 8315, + "Ġinterview": 8316, + "hens": 8317, + "Ġfinish": 8318, + "æŀIJ": 8319, + "Ġdiscussion": 8320, + "ĠInternet": 8321, + "NO": 8322, + "stood": 8323, + "Web": 8324, + "Ġgarden": 8325, + "ander": 8326, + "ĠMuse": 8327, + "Ġdra": 8328, + "ĠExt": 8329, + "ses": 8330, + "çĻ»": 8331, + "åİĨåı²": 8332, + "CR": 8333, + "ORT": 8334, + "totype": 8335, + "Ġinnov": 8336, + "æ²»çĸĹ": 8337, + "description": 8338, + "ixed": 8339, + "游æĪı": 8340, + "kit": 8341, + "Ф": 8342, + "env": 8343, + "Ġfi": 8344, + "fic": 8345, + "åĮħæĭ¬": 8346, + "ç¡Ģ": 8347, + "Ġrepresentation": 8348, + "Ġestablish": 8349, + "qquad": 8350, + "Ġbeauty": 8351, + "Ġattend": 8352, + "seg": 8353, + "ç£": 8354, + "éļľ": 8355, + "åħ³æ³¨": 8356, + "ĠBay": 8357, + "Book": 8358, + "Ġthousand": 8359, + "ato": 8360, + "åŁºç¡Ģ": 8361, + "Ġprou": 8362, + "Ġadult": 8363, + "iga": 8364, + "equiv": 8365, + "Ġgate": 8366, + "isió": 8367, + "ĠMer": 8368, + "è·ij": 8369, + "Ġimpress": 8370, + "digo": 8371, + "tag": 8372, + "Ġchain": 8373, + "Ġactions": 8374, + "unfinished": 8375, + "Ġpolice": 8376, + "Ġforeign": 8377, + "otic": 8378, + "Ġcollege": 8379, + "Ġcin": 8380, + "åĩºæĿ¥": 8381, + "itness": 8382, + "uer": 8383, + "uman": 8384, + "èĦļ": 8385, + "Run": 8386, + "std": 8387, + "Ġowner": 8388, + "责任": 8389, + "icions": 8390, + "ĠEnd": 8391, + "Ġstrange": 8392, + "çļĦè¯Ŀ": 8393, + "Ġreplace": 8394, + "eler": 8395, + "ĠJesus": 8396, + "atin": 8397, + "Ġpoder": 8398, + "ĠDesign": 8399, + "å«": 8400, + "é²ľ": 8401, + "Ġlargest": 8402, + "Ġjourney": 8403, + "weight": 8404, + "Ġentered": 8405, + "Ġdelay": 8406, + "scious": 8407, + "欧": 8408, + "Ġquarter": 8409, + "amin": 8410, + "导èĩ´": 8411, + "asp": 8412, + "ĠвÑĬз": 8413, + "ategory": 8414, + "ĠMany": 8415, + "åĪĽæĸ°": 8416, + "Equal": 8417, + "解åĨ³": 8418, + "Ñħа": 8419, + "å¾ģ": 8420, + "ws": 8421, + "Button": 8422, + "indent": 8423, + "Ġhyp": 8424, + "Rel": 8425, + "Ġtenien": 8426, + "Ġbudget": 8427, + "Ġcapacity": 8428, + "Ñĩен": 8429, + "Ġprocessing": 8430, + "ĠLeg": 8431, + "acks": 8432, + "endar": 8433, + "oct": 8434, + "饮": 8435, + "arth": 8436, + "Ġlose": 8437, + "avor": 8438, + "Ġkeeping": 8439, + "cut": 8440, + "è°Ī": 8441, + "æĢķ": 8442, + "BA": 8443, + "å¹ħ": 8444, + "Ġchem": 8445, + "App": 8446, + "å¢ŀéķ¿": 8447, + "é¥Ń": 8448, + "ifications": 8449, + "пÑĢе": 8450, + "DO": 8451, + "å®Ī": 8452, + "港": 8453, + "Ġahead": 8454, + "Ġversions": 8455, + "çĶ¨æĪ·": 8456, + "support": 8457, + "expected": 8458, + "Update": 8459, + "jection": 8460, + "ниÑĨи": 8461, + "Cons": 8462, + "lowing": 8463, + "æĩ": 8464, + "mys": 8465, + "ĠOnce": 8466, + "Ġreports": 8467, + "çij": 8468, + "Ġanimals": 8469, + "entry": 8470, + "ĠÑı": 8471, + "\"),": 8472, + "Ġconsole": 8473, + "Ġthrows": 8474, + "Ġraised": 8475, + "éĥ¨éŨ": 8476, + "Ġraise": 8477, + "Ġshell": 8478, + "ей": 8479, + "Ġprepared": 8480, + "æijĦ": 8481, + "Child": 8482, + "ĠЧ": 8483, + "åķĬ": 8484, + "ese": 8485, + "Ġsnow": 8486, + "ril": 8487, + "roc": 8488, + "Ġreduced": 8489, + "aped": 8490, + "åĪĨéĴŁ": 8491, + "ĠIndian": 8492, + "Ġdistinct": 8493, + "Ġ^": 8494, + "ĠСо": 8495, + "dp": 8496, + "Comp": 8497, + "пол": 8498, + "ĠLO": 8499, + "Ġdiagram": 8500, + "example": 8501, + "Ġstarts": 8502, + "would": 8503, + "emple": 8504, + "继ç»Ń": 8505, + "çĩ": 8506, + "Ġ(\"": 8507, + "Gr": 8508, + "REF": 8509, + "edom": 8510, + "Ġtit": 8511, + "Sec": 8512, + "åIJĦç§į": 8513, + "è´«": 8514, + "Ġdinner": 8515, + "Ġcoff": 8516, + "Column": 8517, + "ĠMake": 8518, + "Te": 8519, + "HP": 8520, + "ĠTO": 8521, + "ĠFebruary": 8522, + "Ġtwenty": 8523, + "ben": 8524, + "Ġapparent": 8525, + "Ġpreviously": 8526, + "Dat": 8527, + "Ġ+=": 8528, + "BU": 8529, + "гÑĥ": 8530, + "ĠдÑĢÑĥ": 8531, + "ĠEsp": 8532, + "orial": 8533, + "ĠBre": 8534, + "ĠNetwork": 8535, + "Ġneither": 8536, + "è¿İ": 8537, + "Buffer": 8538, + "Ġpropos": 8539, + "Ġclock": 8540, + "ÑĢаÑĤа": 8541, + "Ġestimate": 8542, + "Ġdriving": 8543, + "Init": 8544, + "ira": 8545, + "Ġtroba": 8546, + "sey": 8547, + "Ġresistance": 8548, + "ypes": 8549, + "Ġsupposed": 8550, + "unc": 8551, + "顾": 8552, + "ãĥ": 8553, + "Ġregions": 8554, + "æĶ¿çŃĸ": 8555, + "人们": 8556, + "Ġgrup": 8557, + "ĠServices": 8558, + "Ġposted": 8559, + "drop": 8560, + "Ġperfectly": 8561, + "ttp": 8562, + "åħ³äºİ": 8563, + "untime": 8564, + "}}(": 8565, + "gers": 8566, + "ifts": 8567, + "ĠGerman": 8568, + "ä¹ĭéĹ´": 8569, + "door": 8570, + "ĠPublic": 8571, + "Ġpunt": 8572, + "ÑģÑĤве": 8573, + "ç«ŀ": 8574, + "Ġsegüent": 8575, + "Style": 8576, + "Ġesta": 8577, + "Ġaudio": 8578, + "Ġhelped": 8579, + "Ġur": 8580, + "æĶ¯æĮģ": 8581, + "ĠCD": 8582, + "ĠSil": 8583, + "ĠSpr": 8584, + "Ġstopped": 8585, + "Met": 8586, + "Ġgall": 8587, + "Ġnomés": 8588, + "oder": 8589, + "Ġhence": 8590, + "even": 8591, + "ĠCourt": 8592, + "Ġratio": 8593, + "allet": 8594, + "æĢĢ": 8595, + "III": 8596, + "Ġbat": 8597, + "Ġbot": 8598, + "ä»į": 8599, + "ĠLife": 8600, + "è°¢": 8601, + "Ġscheme": 8602, + "ĠĠĠĠĠĠĠĠĠĠĠĠ$": 8603, + "Ġmouth": 8604, + "Ġcamera": 8605, + "ĠPower": 8606, + "care": 8607, + "Ġhealthy": 8608, + "rian": 8609, + "Ġsurv": 8610, + "èĽĭ": 8611, + "obj": 8612, + "Format": 8613, + "Ġdepending": 8614, + "è¿Ļä¹Ī": 8615, + "apes": 8616, + "Ġlaptop": 8617, + "Ver": 8618, + "Ġalternative": 8619, + "Ġschools": 8620, + "Ãłc": 8621, + "æĽ´åĬł": 8622, + "ffff": 8623, + "riter": 8624, + "FS": 8625, + "Mat": 8626, + "èĦ±": 8627, + "Ġho": 8628, + "arks": 8629, + "iciency": 8630, + "container": 8631, + "Ġimpossible": 8632, + "Ġhidden": 8633, + "æĤ¨": 8634, + "xspace": 8635, + "oting": 8636, + "Ġquantum": 8637, + "Ġeditor": 8638, + "rence": 8639, + "èľ": 8640, + "åĨł": 8641, + "æĹħ游": 8642, + "ç´¢": 8643, + "°": 8644, + "Ġplug": 8645, + "Ġcup": 8646, + "Ġpartners": 8647, + "NAME": 8648, + "Mr": 8649, + "osc": 8650, + "Ġwa": 8651, + "tat": 8652, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 8653, + "ĠLemma": 8654, + "Ġunits": 8655, + "NN": 8656, + "ĠSaturday": 8657, + "Ġchair": 8658, + "Ġtots": 8659, + "è´¨éĩı": 8660, + "æĿĢ": 8661, + "Ġcommercial": 8662, + "Ġpossibly": 8663, + "Ġcontrast": 8664, + "ĠWilliam": 8665, + "andon": 8666, + "Ġwear": 8667, + "Ġlived": 8668, + "filter": 8669, + "Ġstone": 8670, + "aks": 8671, + "Ġdisease": 8672, + "iverse": 8673, + "Ñĩва": 8674, + "Ġtall": 8675, + "è°ģ": 8676, + "åİĤ": 8677, + "ä¸ľè¥¿": 8678, + "ĉthis": 8679, + "remove": 8680, + "}\\\\": 8681, + "Ġwinter": 8682, + "æİī": 8683, + "Ġbattle": 8684, + "ansion": 8685, + "ĠConf": 8686, + "Ġjug": 8687, + "SL": 8688, + "Ġscient": 8689, + "ĠAPI": 8690, + "navbar": 8691, + "Ġnorth": 8692, + "ĠAlex": 8693, + "Ġspeech": 8694, + "ĠMax": 8695, + "Ġlabor": 8696, + "anda": 8697, + "ä¹Ŀ": 8698, + "Ġmanufacture": 8699, + "ĠCalifornia": 8700, + "--\"": 8701, + "Vis": 8702, + "帮åĬ©": 8703, + "Mon": 8704, + "Ġfish": 8705, + "ynch": 8706, + "æľĿ": 8707, + "Ġtur": 8708, + "oded": 8709, + "stack": 8710, + "Ġsolve": 8711, + "Ġadvert": 8712, + "ĠArch": 8713, + "yes": 8714, + "Ġ|Ġ": 8715, + "ĠCH": 8716, + "ĠEuropean": 8717, + "black": 8718, + "Ġlisted": 8719, + "kind": 8720, + "Ġdrivers": 8721, + "Ġserved": 8722, + "attr": 8723, + "Ġauth": 8724, + "Ġgradu": 8725, + "Ġmission": 8726, + "Ġfamiliar": 8727, + "Filter": 8728, + "Ġkeys": 8729, + "Ġrecords": 8730, + "Ġrose": 8731, + "ä¹ĭåīį": 8732, + "åªĴ": 8733, + "lines": 8734, + "Ġentirely": 8735, + "åĽ½åĨħ": 8736, + "ername": 8737, + "ĠTur": 8738, + "etch": 8739, + "Ġrelax": 8740, + "ideos": 8741, + "Ġasking": 8742, + "pective": 8743, + "дна": 8744, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 8745, + "ĠAnn": 8746, + "bur": 8747, + "imer": 8748, + "ĉĉĉĉĉĉ<": 8749, + "Ġcorpor": 8750, + "envol": 8751, + "å¤ĦçIJĨ": 8752, + "òn": 8753, + "Ġbrief": 8754, + "Dev": 8755, + "ĠVir": 8756, + "ett": 8757, + "Ġiron": 8758, + "Ġappearance": 8759, + "normal": 8760, + "Ġ£": 8761, + "linux": 8762, + "ĠUN": 8763, + "Ġdesired": 8764, + "æķij": 8765, + "Ġdepth": 8766, + "riptor": 8767, + "acity": 8768, + "vention": 8769, + "Ġtenir": 8770, + "Ġcategory": 8771, + "è®°èĢħ": 8772, + "åĵĪ": 8773, + "iration": 8774, + "Ġpassion": 8775, + "sin": 8776, + "Ġgentle": 8777, + "ĠIns": 8778, + "éĹ»": 8779, + "Output": 8780, + "Layout": 8781, + "ĠBusiness": 8782, + "æĻºèĥ½": 8783, + "Ġhonest": 8784, + "Ġdirig": 8785, + "çļĦå°ı": 8786, + "ÑģÑĤва": 8787, + "Pat": 8788, + "ulse": 8789, + "Âłhabitants": 8790, + "çŃ¾": 8791, + "Ġodd": 8792, + "Ġboundary": 8793, + "åIJ¯": 8794, + "matrix": 8795, + "eger": 8796, + "âĨ": 8797, + "åºı": 8798, + "çĿ¡": 8799, + "Ġmanage": 8800, + "Ġowners": 8801, + "Ġshoot": 8802, + "Ġplain": 8803, + "Ġje": 8804, + "Ġsector": 8805, + "Ġnodes": 8806, + "esome": 8807, + "дин": 8808, + "ĠWil": 8809, + "ouncil": 8810, + "å½¢æĪIJ": 8811, + "Ġjoy": 8812, + "Ġoffset": 8813, + "Ġcash": 8814, + "response": 8815, + "\",\"": 8816, + "Ġculture": 8817, + "ç³ĸ": 8818, + "Ġelectr": 8819, + "ä»»ä½ķ": 8820, + "奶": 8821, + "olar": 8822, + "å½ĵæŶ": 8823, + "Ġboys": 8824, + "Ġlaunch": 8825, + "Ġdispos": 8826, + "ifact": 8827, + "ÑĨиÑĤе": 8828, + "lÃŃcula": 8829, + "ĠStart": 8830, + "udio": 8831, + "Ġcódigo": 8832, + "罪": 8833, + "éĻ¤äºĨ": 8834, + "Ġmagnetic": 8835, + "pad": 8836, + "Ġdesire": 8837, + "Ġexperienced": 8838, + "rolled": 8839, + "unn": 8840, + "ĠSmith": 8841, + "åľ°åĮº": 8842, + "ĠHD": 8843, + "Ġsynt": 8844, + "Ġidentify": 8845, + "nections": 8846, + "æ¯ĶèµĽ": 8847, + "Ġпи": 8848, + "Ġorient": 8849, + "sd": 8850, + "Ġil": 8851, + "ĠJul": 8852, + "ĠKey": 8853, + "fortunately": 8854, + "ĠAL": 8855, + "ptr": 8856, + "软": 8857, + "综": 8858, + "inese": 8859, + "Ġyouth": 8860, + "glés": 8861, + "Dep": 8862, + "Also": 8863, + "scr": 8864, + "зна": 8865, + "going": 8866, + "Ġcards": 8867, + "æĺ¯åIJ¦": 8868, + "'),": 8869, + "Ġsouth": 8870, + "Ġintended": 8871, + "Ġbag": 8872, + "ĠParis": 8873, + "Ġresponsible": 8874, + "ORD": 8875, + "ç»ĵæŀľ": 8876, + "ĠFrança": 8877, + "Ġdecide": 8878, + "æľīçļĦ": 8879, + "anned": 8880, + "Ġsuperior": 8881, + "onom": 8882, + "ción": 8883, + "ĠWhere": 8884, + "Ġstrict": 8885, + "ĠPack": 8886, + "åħ¸": 8887, + "Ġcontroller": 8888, + "æľºæŀĦ": 8889, + "ĠWho": 8890, + "Ġcompare": 8891, + "ĠDevelop": 8892, + "SO": 8893, + "åıijå¸ĥ": 8894, + "Ġ&\\": 8895, + "Ġcontaining": 8896, + "iples": 8897, + "May": 8898, + "document": 8899, + "Ġbeat": 8900, + "ĠProject": 8901, + "Ġpolic": 8902, + "Ġstanding": 8903, + "Ġconce": 8904, + "ĠCanada": 8905, + "olic": 8906, + "Ġemployees": 8907, + "och": 8908, + "ented": 8909, + "ĠCall": 8910, + "missions": 8911, + "aked": 8912, + "ĠFlor": 8913, + "Ġfabric": 8914, + "ĠPlan": 8915, + "Ġextended": 8916, + "tml": 8917, + "Ġchallenge": 8918, + "Ġcomparison": 8919, + "cache": 8920, + "Ġspoke": 8921, + "Ġgerm": 8922, + "å°ļ": 8923, + "Max": 8924, + "Return": 8925, + "gle": 8926, + "Ġintr": 8927, + "edy": 8928, + "iat": 8929, + "sor": 8930, + "rule": 8931, + "Ġhardware": 8932, + "èģļ": 8933, + "Ġmilitary": 8934, + "Ġencara": 8935, + "lles": 8936, + "Ġbon": 8937, + "Ġequations": 8938, + "ĠUsing": 8939, + "çŃĶ": 8940, + "Ġregister": 8941, + "Ġbought": 8942, + "','": 8943, + "å®ŀéĻħ": 8944, + "Ġagent": 8945, + "ĠPress": 8946, + "Ġfle": 8947, + "顶": 8948, + "Ġnatur": 8949, + "Ġadvanced": 8950, + "water": 8951, + "agn": 8952, + "about": 8953, + "Ġefforts": 8954, + "Top": 8955, + "envolup": 8956, + "è¿Ŀ": 8957, + "Ġconflic": 8958, + "Ġtherm": 8959, + "Ġreader": 8960, + "}\\,": 8961, + "yg": 8962, + "odo": 8963, + "Ġupdates": 8964, + "Ġsuddenly": 8965, + "Ġboat": 8966, + "Ġtrend": 8967, + "ĠMain": 8968, + "ĠLook": 8969, + "bi": 8970, + "羣çļĦ": 8971, + "background": 8972, + "{{": 8973, + "Ġformal": 8974, + "icate": 8975, + "Controller": 8976, + "ĠÑĩаÑģÑĤ": 8977, + "abil": 8978, + "Ġopportunities": 8979, + "çģ¯": 8980, + "éģ¿": 8981, + "Ġgeneration": 8982, + "Ġalign": 8983, + "Ġbear": 8984, + "Ġpartir": 8985, + "amente": 8986, + "家åºŃ": 8987, + "Ġupgrade": 8988, + "Mem": 8989, + "ccion": 8990, + "vid": 8991, + "Ġmetal": 8992, + "Ġvary": 8993, + "serve": 8994, + "LASS": 8995, + "Ġdual": 8996, + "Ġsomewhat": 8997, + "Ġuniform": 8998, + "Ġfavour": 8999, + "кÑĤ": 9000, + "vas": 9001, + "Ġdesktop": 9002, + "Ġbreath": 9003, + "Ġkm": 9004, + "éĵ¶è¡Į": 9005, + "æľīéĻIJ": 9006, + "Ġба": 9007, + "Ġmant": 9008, + "je": 9009, + "ĠJe": 9010, + "Ġfant": 9011, + "RI": 9012, + "Eng": 9013, + "cial": 9014, + "power": 9015, + "Ġcomfortable": 9016, + "icans": 9017, + "appy": 9018, + "Ġ$|": 9019, + "å¤ı": 9020, + "sect": 9021, + "ometimes": 9022, + "Ġtele": 9023, + "Ġrepair": 9024, + "ye": 9025, + "ÑĪни": 9026, + "ubre": 9027, + "Ġelimin": 9028, + "ĠBecause": 9029, + "礼": 9030, + "Ġlisten": 9031, + "Car": 9032, + "ä»·åĢ¼": 9033, + "Ġspeaking": 9034, + "ĠBest": 9035, + "Ġsust": 9036, + "é¦Ĩ": 9037, + "ĠCON": 9038, + "ĠCa": 9039, + "Pack": 9040, + "umerate": 9041, + "bal": 9042, + "sur": 9043, + "éľ²": 9044, + "ĠaixÃŃ": 9045, + "ĠNews": 9046, + "Ġhur": 9047, + "ifies": 9048, + "ç»į": 9049, + "ĠаÑĢ": 9050, + "ilos": 9051, + "éĶ®": 9052, + "Ġexplicit": 9053, + "Ġgoals": 9054, + "ÐŁÐ¾": 9055, + "ĠLong": 9056, + "Script": 9057, + "hetic": 9058, + "Ġimportance": 9059, + "éĴĪ": 9060, + "æĸ°çļĦ": 9061, + "è¾¾åĪ°": 9062, + "Ġtemplate": 9063, + "交éĢļ": 9064, + "Ġanomen": 9065, + "åĸĿ": 9066, + "ontal": 9067, + "URL": 9068, + "éħ¸": 9069, + "æŁĵ": 9070, + "å¨ģ": 9071, + "Ġbackup": 9072, + "ä¸ĢçĤ¹": 9073, + "Ġhonor": 9074, + "åı¶": 9075, + "æīįèĥ½": 9076, + "æĿ¨": 9077, + ")\"": 9078, + "Ġcheap": 9079, + "sign": 9080, + "èĹı": 9081, + "è¿°": 9082, + "Write": 9083, + "Ġrecon": 9084, + "ĠVis": 9085, + "Person": 9086, + "Ġbalance": 9087, + "'}": 9088, + "æ¯ı天": 9089, + "миÑĢа": 9090, + "itut": 9091, + "Ġought": 9092, + "æĹłæ³ķ": 9093, + "Address": 9094, + "ä¼´": 9095, + "empres": 9096, + "è·Į": 9097, + "ĠSing": 9098, + "files": 9099, + "ÑıÑĤо": 9100, + "ACK": 9101, + "Thank": 9102, + "æĸĹ": 9103, + "Ġarguments": 9104, + "éĢłæĪIJ": 9105, + "Ġsuggested": 9106, + "Ġsharing": 9107, + "æĹ¶ä»£": 9108, + "Ġmunicipi": 9109, + "Ġrough": 9110, + "Ġhighlight": 9111, + "驶": 9112, + "eting": 9113, + "æķ£": 9114, + "rible": 9115, + "Function": 9116, + "faces": 9117, + "нов": 9118, + "Ġpron": 9119, + "Ġnucle": 9120, + "ĉ<": 9121, + "Ġenabled": 9122, + "lies": 9123, + "Ġfailure": 9124, + "}}{\\": 9125, + "æ¯Ķå¦Ĥ": 9126, + "æľªæĿ¥": 9127, + "road": 9128, + "Ġduty": 9129, + "ogether": 9130, + "Ġcompat": 9131, + "Ġtests": 9132, + "éĢIJ": 9133, + "plications": 9134, + "Ġoblig": 9135, + "Co": 9136, + "çĽĸ": 9137, + "Use": 9138, + "Ġprompt": 9139, + "ĠLl": 9140, + "Ġoffering": 9141, + "ĠÑģÑĢе": 9142, + "ĠResearch": 9143, + "ĠSum": 9144, + "Ġconfirm": 9145, + "Ġ{@": 9146, + "hav": 9147, + "Ġdiscussed": 9148, + "æľīäºĽ": 9149, + "Ġcauses": 9150, + "reens": 9151, + "ĠApp": 9152, + "kin": 9153, + "pp": 9154, + "ä¼ij": 9155, + "([": 9156, + "Ġfaster": 9157, + "ãĤ": 9158, + "Ġнего": 9159, + "å½ĵçĦ¶": 9160, + "Ġarticles": 9161, + "ĠEv": 9162, + "SA": 9163, + "bet": 9164, + "ĠTop": 9165, + "Ġorders": 9166, + "Ġformed": 9167, + "onal": 9168, + "ilton": 9169, + "ĠCE": 9170, + "Ġrect": 9171, + "strap": 9172, + "Po": 9173, + "Ġcycle": 9174, + "icion": 9175, + "Ġdiscover": 9176, + "çĶ°": 9177, + "osh": 9178, + "Ġdelight": 9179, + "Ġmessages": 9180, + "лиÑĤе": 9181, + "ков": 9182, + "ĠNor": 9183, + "Ġeconomic": 9184, + "obert": 9185, + "Ġtraffic": 9186, + "ĠÃīs": 9187, + "Ġtypically": 9188, + "Ġdocuments": 9189, + "å¼Ģå±ķ": 9190, + "Ġletters": 9191, + "空éĹ´": 9192, + "Ġaccompl": 9193, + "Ġoperating": 9194, + "ĠTheir": 9195, + "}:": 9196, + "ĠFrank": 9197, + "ĠLu": 9198, + "Ġexistence": 9199, + "ĠнÑı": 9200, + "ĠBas": 9201, + "Ġtelev": 9202, + "Ġok": 9203, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 9204, + "Ġvisible": 9205, + "prec": 9206, + "persones": 9207, + "ĠMichael": 9208, + "iki": 9209, + "веÑĤ": 9210, + "éĺ¶": 9211, + "Ġqued": 9212, + "ä¿ĥ": 9213, + "Ġdenote": 9214, + "cknow": 9215, + "Row": 9216, + "ted": 9217, + "step": 9218, + "Ġexcited": 9219, + "Ġ**": 9220, + "tree": 9221, + "los": 9222, + "第ä¸ī": 9223, + "sn": 9224, + "idel": 9225, + "resents": 9226, + "Ġtasks": 9227, + "Ġbusinesses": 9228, + "Ġsides": 9229, + "Ġgalax": 9230, + "isters": 9231, + "Âłpersones": 9232, + "鸡": 9233, + "ternoon": 9234, + "ĠGran": 9235, + "orig": 9236, + "Ġsister": 9237, + "ä¿ĿæĬ¤": 9238, + "endif": 9239, + "Ġturns": 9240, + "Ġquad": 9241, + "rend": 9242, + "å½Ĵ": 9243, + "éĢı": 9244, + "amm": 9245, + "Ġuncertain": 9246, + "ĠHall": 9247, + "exas": 9248, + "Ġjobs": 9249, + "Ġreviews": 9250, + "Ġannounced": 9251, + "eness": 9252, + "ĠDiv": 9253, + "values": 9254, + "citet": 9255, + "èµĦæºIJ": 9256, + "Ġunknown": 9257, + "clusive": 9258, + "éĶĢåĶ®": 9259, + "otal": 9260, + "MO": 9261, + "Ġevolution": 9262, + "ĠBig": 9263, + "ĉ\"": 9264, + "æݧåĪ¶": 9265, + "linear": 9266, + "ĠiPhone": 9267, + "Just": 9268, + "åĪĨæŀIJ": 9269, + "Ġnotes": 9270, + "âĶĢâĶĢ": 9271, + "Ġobst": 9272, + "./": 9273, + "Ġabsolutely": 9274, + "tical": 9275, + "ĠRoy": 9276, + "Ġcolour": 9277, + "Ġaccident": 9278, + "ä½³": 9279, + "ä¸ĩåħĥ": 9280, + "Ġentertain": 9281, + "Ġlie": 9282, + "Dec": 9283, + "ĠSl": 9284, + "Ġtechniques": 9285, + "液": 9286, + "ÐĽ": 9287, + "èį£": 9288, + "ĠAngel": 9289, + "Ġsuitable": 9290, + "card": 9291, + "ĠCouncil": 9292, + "éļıçĿĢ": 9293, + "Ġbrain": 9294, + "ĠAv": 9295, + "çĪ¸": 9296, + "Ġtopic": 9297, + "ĠError": 9298, + "(&": 9299, + "Ġsetembre": 9300, + "Ġlogin": 9301, + "AGE": 9302, + "pled": 9303, + "ĠTwo": 9304, + "Ġnoticed": 9305, + "ĠPeter": 9306, + "mac": 9307, + "neq": 9308, + "骨": 9309, + "Ġparallel": 9310, + "BO": 9311, + "ĠDate": 9312, + "txt": 9313, + "ading": 9314, + "产çĶŁ": 9315, + "åį±": 9316, + "Ġprison": 9317, + "ĠÐľÐ¸": 9318, + "Ġderiv": 9319, + "ĠOnly": 9320, + "Ġincorpor": 9321, + "Ġcaught": 9322, + "æľīæķĪ": 9323, + "Ġradio": 9324, + "ĠOld": 9325, + "ĠRiver": 9326, + "Ġputting": 9327, + "prim": 9328, + "ä¸Ĭæµ·": 9329, + "ĠMA": 9330, + "Ġremaining": 9331, + "Ġproud": 9332, + "Ġmentre": 9333, + "Ġsle": 9334, + "ÃŃn": 9335, + "Ġconfigure": 9336, + "Ġdar": 9337, + "ĠGener": 9338, + "Ġdetailed": 9339, + "Ġya": 9340, + "Ġwelcome": 9341, + "Ġresulting": 9342, + "ä¿ĿæĮģ": 9343, + "tx": 9344, + "ä¹Łæľī": 9345, + "ĠLove": 9346, + "ĠMonday": 9347, + "yal": 9348, + "åĬª": 9349, + "etes": 9350, + "break": 9351, + "Ġcontinuous": 9352, + "second": 9353, + "çĤİ": 9354, + "Ġflag": 9355, + "å¸ģ": 9356, + "Ġconversation": 9357, + "Ġdiscovered": 9358, + "Ġllarg": 9359, + "bul": 9360, + "segu": 9361, + "({\\": 9362, + "Ġcoffee": 9363, + "æ¸IJ": 9364, + "Ġemb": 9365, + "Ġembed": 9366, + "ados": 9367, + "å®Įåħ¨": 9368, + "////////////////": 9369, + "CM": 9370, + "uled": 9371, + "Ġagreement": 9372, + "arian": 9373, + "Ġsitting": 9374, + "é¹": 9375, + "æ´²": 9376, + "Ġrid": 9377, + "Valid": 9378, + "饰": 9379, + "âķIJ": 9380, + "Ġconsistent": 9381, + "ĠGL": 9382, + "ĠSanta": 9383, + "Bo": 9384, + "ridge": 9385, + "onym": 9386, + "Ġmanaged": 9387, + "éľĢæ±Ĥ": 9388, + "ÑĮо": 9389, + "Ġtransaction": 9390, + "延": 9391, + "Ġtechnical": 9392, + "lets": 9393, + "direct": 9394, + "generic": 9395, + "Ġhelpful": 9396, + "åıªè¦ģ": 9397, + "ÐĿа": 9398, + "ez": 9399, + "Ġaixò": 9400, + "Ġthee": 9401, + ")/": 9402, + "Ġlif": 9403, + "交æĺĵ": 9404, + "Ġice": 9405, + "éĩĩçĶ¨": 9406, + "Ġnú": 9407, + "ĠSoft": 9408, + "Length": 9409, + "ÑĩеÑģки": 9410, + "Ġslowly": 9411, + "å°ıæŶ": 9412, + "apple": 9413, + "Ġав": 9414, + "Ġremote": 9415, + "Ġblocks": 9416, + "è¸": 9417, + "Ġcommands": 9418, + "ĠOffice": 9419, + "Ġstored": 9420, + "Ġbuffer": 9421, + "çĸ¾": 9422, + "unit": 9423, + "огÑĢа": 9424, + "Ġsamples": 9425, + "æĪij们çļĦ": 9426, + "Ġcens": 9427, + "ït": 9428, + "ĠFort": 9429, + "Ġinvestment": 9430, + "ĠGen": 9431, + "author": 9432, + "hy": 9433, + "éĽĨåĽ¢": 9434, + "ĠNE": 9435, + "bres": 9436, + "çĪĨ": 9437, + "éĽª": 9438, + "ĠMicrosoft": 9439, + "wrap": 9440, + "âĦ": 9441, + "Ġsad": 9442, + "ÑĬÑĢжа": 9443, + "ç®Ģåįķ": 9444, + "iously": 9445, + "ĠAT": 9446, + "Mode": 9447, + "çĬ¯": 9448, + "terday": 9449, + "Ġmeasures": 9450, + "Ġmail": 9451, + "Ġapps": 9452, + "ccions": 9453, + "Ġven": 9454, + "buf": 9455, + "Ġpoden": 9456, + "Direct": 9457, + "Ġformula": 9458, + "uses": 9459, + "Ġinstructions": 9460, + "Ġtaste": 9461, + "Ġstable": 9462, + "浪": 9463, + "Ġantic": 9464, + "Ġdesenvolup": 9465, + "izar": 9466, + "å·¨": 9467, + "Mar": 9468, + ".[": 9469, + "ç«¥": 9470, + "è¶ħè¿ĩ": 9471, + "Ġfloat": 9472, + "Ġenemy": 9473, + "Ġteams": 9474, + "ä¸įå°ij": 9475, + "Ġве": 9476, + "Ġweekend": 9477, + "device": 9478, + "å¾ĹåĪ°": 9479, + "æĭ¥æľī": 9480, + "çİī": 9481, + "Ġ=>Ġ": 9482, + "Ġguany": 9483, + "Ġaward": 9484, + "Enc": 9485, + "amental": 9486, + "并ä¸Ķ": 9487, + "ĠMass": 9488, + "ello": 9489, + "cf": 9490, + "high": 9491, + "such": 9492, + "opl": 9493, + "çŁ¥è¯Ĩ": 9494, + "Ġhan": 9495, + "spe": 9496, + "Ġvalu": 9497, + "ĠAlthough": 9498, + "ĠDu": 9499, + "icing": 9500, + "аз": 9501, + "two": 9502, + "NA": 9503, + "eper": 9504, + "ĠSa": 9505, + "ainer": 9506, + "hspace": 9507, + "纷": 9508, + "ĠFore": 9509, + "Ġworse": 9510, + "Ġfills": 9511, + "è´´": 9512, + "Ġsucceed": 9513, + "Gu": 9514, + "æīĺ": 9515, + "OK": 9516, + "Cal": 9517, + "Ġsiguiente": 9518, + "ÑģкоÑĤо": 9519, + "миÑı": 9520, + "Access": 9521, + "Ġvess": 9522, + "params": 9523, + "模å¼ı": 9524, + "Ġanti": 9525, + "Ġinner": 9526, + "Ġegg": 9527, + "Ġholding": 9528, + "rev": 9529, + "ç´¯": 9530, + "Ġpayment": 9531, + "ĠCA": 9532, + "mode": 9533, + "Ġabsolute": 9534, + "Ġnetworks": 9535, + "ĠLike": 9536, + "iene": 9537, + "Ġreality": 9538, + "åłĤ": 9539, + "меÑĢи": 9540, + "åħ¨çIJĥ": 9541, + "Ġanimal": 9542, + "Ġsky": 9543, + "pop": 9544, + "Ġopposite": 9545, + "riz": 9546, + "é½": 9547, + "ï¿": 9548, + "ĠBet": 9549, + "lÃŃcules": 9550, + "ä¼łç»Ł": 9551, + "пÑĢи": 9552, + "ĠIsrael": 9553, + "çĺ": 9554, + "Ġmarried": 9555, + "Ġком": 9556, + "åĵ¥": 9557, + "ĠGovernment": 9558, + "кÑĬ": 9559, + "以åIJİ": 9560, + "Ġarrived": 9561, + "LC": 9562, + "æĬĵ": 9563, + "éĥ½ä¼ļ": 9564, + "Ġspr": 9565, + "Ġmostly": 9566, + "ÑĤен": 9567, + "anta": 9568, + "Ġconfidence": 9569, + "é¢ľ": 9570, + "Ġkilled": 9571, + "MI": 9572, + "Ġplenty": 9573, + "altres": 9574, + "羣æŃ£": 9575, + "hered": 9576, + "ĠJew": 9577, + "Ġspaces": 9578, + "Ġmedium": 9579, + "Ġwriter": 9580, + "rich": 9581, + "å¦Īå¦Ī": 9582, + "octubre": 9583, + "Ġfeedback": 9584, + "Task": 9585, + "å¼¹": 9586, + "emon": 9587, + "scope": 9588, + "sych": 9589, + "çŃij": 9590, + "~~~~": 9591, + "\"-": 9592, + "Ġjoint": 9593, + "Ġminim": 9594, + "ĠFrancis": 9595, + "Where": 9596, + "å·¦åı³": 9597, + "Ġdistrict": 9598, + "orough": 9599, + "Ġacon": 9600, + "Ġexplan": 9601, + "ĠIV": 9602, + "uan": 9603, + "ниÑıÑĤ": 9604, + "Ġconsidering": 9605, + "Ġfruit": 9606, + "æĺ¯åľ¨": 9607, + "ĠManagement": 9608, + "Ġcalling": 9609, + "Look": 9610, + "javascript": 9611, + "ĠÑģÑĤÑĢа": 9612, + "Ġllib": 9613, + "ĠBill": 9614, + "åĽº": 9615, + "ponents": 9616, + "Ġnumerous": 9617, + "norm": 9618, + "Ġsch": 9619, + "ĠPan": 9620, + "Ġtow": 9621, + "Ġrepresents": 9622, + "isl": 9623, + "央": 9624, + "Ġforest": 9625, + "reshold": 9626, + "Ke": 9627, + "sol": 9628, + "æĺ¯ä¸Ģ个": 9629, + "ÑĬлгаÑĢиÑı": 9630, + "greg": 9631, + "Ġwedding": 9632, + "Ġplane": 9633, + "Ġhero": 9634, + "Ġ[]": 9635, + "ĠBack": 9636, + "Ġsaved": 9637, + "omething": 9638, + "actor": 9639, + "life": 9640, + "Ġcod": 9641, + "Ġexplained": 9642, + "DS": 9643, + "oom": 9644, + "ĠScience": 9645, + "Ġcamb": 9646, + "GE": 9647, + "ĠSi": 9648, + "亿åħĥ": 9649, + "CI": 9650, + "éĽĦ": 9651, + "ĠCentral": 9652, + "oses": 9653, + "Ġcluster": 9654, + "Ġdur": 9655, + "åĨ°": 9656, + "ós": 9657, + "Ġspectrum": 9658, + "Ġжи": 9659, + "ública": 9660, + "Ġquatre": 9661, + "ÃŃm": 9662, + "ĠRoman": 9663, + "æľºä¼ļ": 9664, + "Ġmajority": 9665, + "Ġincreases": 9666, + "Ġcoe": 9667, + "offset": 9668, + "Ġtheme": 9669, + "instance": 9670, + "ĠMaria": 9671, + "ä½ľåĵģ": 9672, + "llustr": 9673, + "Ġcombined": 9674, + "润": 9675, + "osing": 9676, + "kes": 9677, + "Ġimplementation": 9678, + "izontal": 9679, + "Ġeth": 9680, + "window": 9681, + "Ġfamous": 9682, + "Ġcontempor": 9683, + "ĠWed": 9684, + "Ġtwice": 9685, + "ä¸ļåĬ¡": 9686, + "ĠRepublic": 9687, + "Ġsè": 9688, + "Ġvir": 9689, + "Ġmusical": 9690, + "mut": 9691, + "Case": 9692, + "ного": 9693, + "venue": 9694, + "Ġбо": 9695, + "esa": 9696, + "Ġparties": 9697, + "reference": 9698, + "Ġcorrectly": 9699, + "ĠGrand": 9700, + "Ġwatching": 9701, + "Ġdestroy": 9702, + "ене": 9703, + "layer": 9704, + "dest": 9705, + "æĮ¥": 9706, + "hist": 9707, + "Ġresistor": 9708, + "éĩijèŀį": 9709, + "craft": 9710, + "ĠReal": 9711, + "Ġveget": 9712, + "çİ°åľº": 9713, + "Ġespany": 9714, + "ĠName": 9715, + "ĠReview": 9716, + "Ġadvent": 9717, + "teen": 9718, + "æĹ¢": 9719, + "åĿļæĮģ": 9720, + "ursday": 9721, + "å®ľ": 9722, + "Ġrooms": 9723, + "æĿ¥è¶Ĭ": 9724, + "COL": 9725, + "eller": 9726, + "Ġbrowser": 9727, + "åıĤåĬł": 9728, + "achine": 9729, + "ĠAssociation": 9730, + "åĬªåĬĽ": 9731, + "vm": 9732, + "клÑİ": 9733, + "客æĪ·": 9734, + "Bibli": 9735, + "Seg": 9736, + "å°¤": 9737, + "Process": 9738, + "Ġexercise": 9739, + "war": 9740, + "ä»ĭç»į": 9741, + "éĩİ": 9742, + "Ġpractical": 9743, + "ĠEduc": 9744, + "}-\\": 9745, + "éĥ½æľī": 9746, + "Ġnarrow": 9747, + "atges": 9748, + "Ġdelivery": 9749, + "Ġaccuracy": 9750, + "Ġmarc": 9751, + "SET": 9752, + "Ġsota": 9753, + "enumerate": 9754, + "æĤ£èĢħ": 9755, + "缮æłĩ": 9756, + "è±Ĩ": 9757, + "Ġvirt": 9758, + "ä¹ĭä¸Ģ": 9759, + "ITH": 9760, + "\\,\\": 9761, + "Ġfriendly": 9762, + "Ġvida": 9763, + "itemize": 9764, + "Equals": 9765, + "æĿ¡ä»¶": 9766, + "Ġrub": 9767, + "Ġended": 9768, + "arts": 9769, + "(_": 9770, + "ĠAR": 9771, + "uesday": 9772, + "è·Ŀ": 9773, + "Ġmad": 9774, + "CS": 9775, + "ÑĢиÑĤе": 9776, + "ĠMel": 9777, + "Ġcable": 9778, + "them": 9779, + "Ġemph": 9780, + "Ġkeyboard": 9781, + "ĠPen": 9782, + "æ¦Ĥ": 9783, + "ĠBY": 9784, + "Ġban": 9785, + "еле": 9786, + "bling": 9787, + "Ġcompact": 9788, + "outhern": 9789, + "ĠCreate": 9790, + "Ġanswers": 9791, + "ĠCorpor": 9792, + "è¶ĬæĿ¥è¶Ĭ": 9793, + "iner": 9794, + "theorem": 9795, + "%;": 9796, + "ĠArray": 9797, + "Ġentr": 9798, + "éĺ´": 9799, + "noindent": 9800, + "ĠSocial": 9801, + "styles": 9802, + "ĠStar": 9803, + "许å¤ļ": 9804, + "Ġespèc": 9805, + "Ġsingular": 9806, + "tenance": 9807, + "Ñĩно": 9808, + "Ġwilling": 9809, + "ĠÑĤÑı": 9810, + "Ġinfin": 9811, + "ĠEqu": 9812, + "Ġrain": 9813, + "Ġbits": 9814, + "Ġsignificantly": 9815, + "tn": 9816, + "ĠBal": 9817, + "Ġsplit": 9818, + "ĠAmaz": 9819, + "iest": 9820, + "aire": 9821, + "Ġpoet": 9822, + "Ġframework": 9823, + "æ´¾": 9824, + "Ġempres": 9825, + "Ġproblema": 9826, + "ĠIr": 9827, + "ĠId": 9828, + "CTION": 9829, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 9830, + "rated": 9831, + "èĻļ": 9832, + "estic": 9833, + "积æŀģ": 9834, + "idae": 9835, + "unte": 9836, + "Ġlov": 9837, + "Ġmaps": 9838, + "çĪ¶æ¯į": 9839, + "ĠJava": 9840, + "Ġlaid": 9841, + "uint": 9842, + "ĠInformation": 9843, + "æ¤į": 9844, + "Ġhelping": 9845, + "ĠдÑĥ": 9846, + "Ġrepeated": 9847, + "ĠDoes": 9848, + "Ġdimension": 9849, + "Ġidentity": 9850, + "Ġgreatest": 9851, + "Ġseek": 9852, + "ĠBoth": 9853, + "ĠÐijÑĬлгаÑĢиÑı": 9854, + "ĠЦ": 9855, + "FONT": 9856, + "Sche": 9857, + "ĠOper": 9858, + "èĻij": 9859, + "Ġourselves": 9860, + "Ġarbit": 9861, + "Ġevol": 9862, + "Ġ-\\": 9863, + "Ġisland": 9864, + "Ġturning": 9865, + "æ°´å¹³": 9866, + "ĠRoad": 9867, + "Ġnut": 9868, + "èµĦéĩij": 9869, + "});": 9870, + "неÑĤо": 9871, + "bas": 9872, + "Ġannual": 9873, + "Ġvend": 9874, + "full": 9875, + "æĽ²": 9876, + "âķIJâķIJ": 9877, + "Rev": 9878, + "Ñıва": 9879, + "debug": 9880, + "Ġexchange": 9881, + "ĠSuper": 9882, + "Ġsalt": 9883, + "Ġmeasured": 9884, + ")}{": 9885, + "Ġincome": 9886, + "å°Ħ": 9887, + "zer": 9888, + "TC": 9889, + "ĠIntel": 9890, + "Ġbread": 9891, + "via": 9892, + "Ġseat": 9893, + "Ġvivien": 9894, + "ĠMaster": 9895, + "Ġsan": 9896, + "Fi": 9897, + "Ġunable": 9898, + "ĠкоÑıÑĤо": 9899, + "åĩĨå¤ĩ": 9900, + "æĺ¾ç¤º": 9901, + "Ġcraft": 9902, + "ZE": 9903, + "Description": 9904, + "ÑĨиÑıÑĤа": 9905, + "Ġclim": 9906, + "Ġcitiz": 9907, + "äºĪ": 9908, + "ĠIts": 9909, + "notation": 9910, + "ĠTambé": 9911, + "Ġwalls": 9912, + "Edit": 9913, + "ĠСе": 9914, + "Port": 9915, + "Ġpleasure": 9916, + "Ġroof": 9917, + "umes": 9918, + "ç§ijåѦ": 9919, + "éĩįçĤ¹": 9920, + "Ãłn": 9921, + "ĠBur": 9922, + "Ġshel": 9923, + "ATH": 9924, + "åħµ": 9925, + "Ġclar": 9926, + "CRE": 9927, + "parse": 9928, + "DW": 9929, + "кÑĤи": 9930, + "нÑĥ": 9931, + "ĠÑģÑĬÑģ": 9932, + "Ġespecial": 9933, + "pes": 9934, + "ĠLouis": 9935, + "Ġanalog": 9936, + "Ġcircumstances": 9937, + "Ġexpos": 9938, + "ĠBoard": 9939, + "Ġpartner": 9940, + "Ġroute": 9941, + "Ġpython": 9942, + "Ġafternoon": 9943, + "奥": 9944, + "Ġattribute": 9945, + "obs": 9946, + "Ġsistema": 9947, + "Ġdegrees": 9948, + "çļĩ": 9949, + "Ġinqu": 9950, + "Ġstret": 9951, + "Ġ(-": 9952, + "Ġdiagn": 9953, + "icture": 9954, + "odies": 9955, + "range": 9956, + "è¯Ĺ": 9957, + "ĠCharles": 9958, + "ĠÐĴи": 9959, + "ÑģиÑĤе": 9960, + "akers": 9961, + "Ġbott": 9962, + "ÑĤоÑĢ": 9963, + "Ġmel": 9964, + "Ġtail": 9965, + "Ġstated": 9966, + "Ġplants": 9967, + "Ġfro": 9968, + "isted": 9969, + "iano": 9970, + "Ġcad": 9971, + "Ġprime": 9972, + "Ġpint": 9973, + "ĠгÑĢад": 9974, + "Ġterritor": 9975, + "Ġpm": 9976, + "Control": 9977, + "Ġsmile": 9978, + "Ġwaste": 9979, + "pert": 9980, + "çłģ": 9981, + "annels": 9982, + "cean": 9983, + "Ġclin": 9984, + "Ġcircle": 9985, + "float": 9986, + "Ġpersons": 9987, + "Ġbless": 9988, + "avors": 9989, + "IE": 9990, + "Ġpassing": 9991, + "èĶ": 9992, + "oute": 9993, + "Ġescol": 9994, + "alo": 9995, + "Ġpurposes": 9996, + "operatorname": 9997, + "amer": 9998, + "white": 9999, + "IGN": 10000, + "dimensional": 10001, + "Ġpil": 10002, + "Ġгодини": 10003, + "ĠThomas": 10004, + "your": 10005, + "�": 10006, + "æģ¶": 10007, + "Each": 10008, + "Ġhabit": 10009, + "orses": 10010, + "ĠÐijо": 10011, + "Ġna": 10012, + "ĠAustralia": 10013, + "ä¸įåĪ°": 10014, + "ĠSoc": 10015, + "xic": 10016, + "isms": 10017, + "åĨ³å®ļ": 10018, + "ĠBra": 10019, + "jud": 10020, + "require": 10021, + "æŀ¶": 10022, + "media": 10023, + "Ġsched": 10024, + "å¦ĤæѤ": 10025, + "........": 10026, + "èīºæľ¯": 10027, + "Ġexplore": 10028, + "åij¼": 10029, + "Ġtermin": 10030, + "nesday": 10031, + "]\\": 10032, + "inent": 10033, + "ĉĉĉĉĉ<": 10034, + "æľŁéĹ´": 10035, + "Ġregul": 10036, + "硬": 10037, + "Ġrecommended": 10038, + "ĠThank": 10039, + "shot": 10040, + "master": 10041, + "Ġbinary": 10042, + "organ": 10043, + "oured": 10044, + "yer": 10045, + "鼷": 10046, + "ðŁ": 10047, + "Ġcache": 10048, + "Ġvision": 10049, + "å§IJ": 10050, + "Ġincred": 10051, + "åºĨ": 10052, + "Ġsolo": 10053, + "æĥĬ": 10054, + "ĠRad": 10055, + "Ġarmy": 10056, + "icolumn": 10057, + "Ġinterior": 10058, + "Current": 10059, + "Ġcompre": 10060, + "cope": 10061, + "宫": 10062, + "ĠFol": 10063, + "å¼Ģåıij": 10064, + "matic": 10065, + "è´·": 10066, + "ä¸įåı¯": 10067, + "ĠAccording": 10068, + "ĠSpe": 10069, + "fraid": 10070, + "vspace": 10071, + "ĠCard": 10072, + "à¤": 10073, + "Ġabsor": 10074, + "iger": 10075, + "Ġtrial": 10076, + "Ġhat": 10077, + "Ġestate": 10078, + "Ġcontainer": 10079, + "Ġaudience": 10080, + "GR": 10081, + "Ġsuccessfully": 10082, + "ĠWood": 10083, + "Ġcollabor": 10084, + "Ac": 10085, + "Ġdataset": 10086, + "Ġpropi": 10087, + "Ġrecovery": 10088, + "ceived": 10089, + "Ġessay": 10090, + "误": 10091, + "Ġcav": 10092, + "multicolumn": 10093, + "Ġinteraction": 10094, + "è¿·": 10095, + "approx": 10096, + "ĠBi": 10097, + "鼶": 10098, + "лаÑģÑĤ": 10099, + "Ġbecoming": 10100, + "peres": 10101, + "atura": 10102, + "计åĪĴ": 10103, + "ÑĨии": 10104, + "Ġposts": 10105, + "{-\\": 10106, + "ĠCustom": 10107, + "match": 10108, + "Ġtips": 10109, + "fi": 10110, + "]);": 10111, + "Ġscal": 10112, + "agraph": 10113, + "ĠChinese": 10114, + "Ġcolumns": 10115, + "Ġdiversos": 10116, + "å³°": 10117, + "Ġunderstood": 10118, + "Ġmanual": 10119, + "Ġgod": 10120, + "ariant": 10121, + "é¢Ĩ导": 10122, + "Right": 10123, + "Ġperman": 10124, + "mbre": 10125, + "éĻĦ": 10126, + "òr": 10127, + "án": 10128, + "riev": 10129, + "åħ¨éĿ¢": 10130, + "Ġfold": 10131, + "VAL": 10132, + "Les": 10133, + "Ġregió": 10134, + "Ġepis": 10135, + "rera": 10136, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 10137, + "Ġordered": 10138, + "ĉĉĉĉĉĉ": 10139, + "ĠGir": 10140, + "ĠIT": 10141, + "ME": 10142, + "èĤ¥": 10143, + "ĠTexas": 10144, + "arios": 10145, + "ori": 10146, + "Ġpapers": 10147, + "Ġvideos": 10148, + "Ġplot": 10149, + "ä¸įå¾Ĺ": 10150, + "Ġbusy": 10151, + "Ġmatters": 10152, + "Ġwalking": 10153, + "THE": 10154, + "Lib": 10155, + "åIJĪåIJĮ": 10156, + "ARY": 10157, + "images": 10158, + "ÑĢаз": 10159, + "&&": 10160, + "å¸Ŀ": 10161, + "Ġdating": 10162, + "GA": 10163, + "ipped": 10164, + "Ġ..": 10165, + "Ġdelet": 10166, + "Ġrestart": 10167, + "xture": 10168, + "æĹ¥æľ¬": 10169, + "Ġboost": 10170, + "Ġ\"/": 10171, + "}'": 10172, + "Ġleader": 10173, + "ÃŃtica": 10174, + "Ġexpensive": 10175, + "ĠRet": 10176, + "Dr": 10177, + "侧": 10178, + "Ġtherap": 10179, + "hr": 10180, + "Ġends": 10181, + "Ġteacher": 10182, + "Ġintellig": 10183, + "Ġspecifically": 10184, + "Ġbridge": 10185, + "Ġbrown": 10186, + "glésia": 10187, + "Bibliografia": 10188, + "ĠJoan": 10189, + "uzz": 10190, + "istent": 10191, + "Ġdropped": 10192, + "çĸ«æĥħ": 10193, + "sys": 10194, + "å¼±": 10195, + "ĠкоеÑĤо": 10196, + "Ġweap": 10197, + "Cache": 10198, + "Ġrestaur": 10199, + "Ġfrancès": 10200, + "òm": 10201, + "lat": 10202, + "Ġexceed": 10203, + "Dele": 10204, + "ki": 10205, + "aning": 10206, + "urop": 10207, + "plug": 10208, + "anim": 10209, + "å¸Ń": 10210, + "esp": 10211, + "ĉĠĠĠ": 10212, + "виÑĤе": 10213, + "ĠPR": 10214, + "Ġstack": 10215, + "ATA": 10216, + "Another": 10217, + "Ġtypical": 10218, + "ĠLuc": 10219, + "claimed": 10220, + "dec": 10221, + "éĩĬ": 10222, + "çĶŁåij½": 10223, + "Ġefficiency": 10224, + "æŧ": 10225, + "Ġthin": 10226, + "Ġjoined": 10227, + "ĠFoundation": 10228, + "emplo": 10229, + "*)": 10230, + "Ġangle": 10231, + "ĠCare": 10232, + "æİ¢": 10233, + "Ġ('": 10234, + "æĮģç»Ń": 10235, + "ĠText": 10236, + "icken": 10237, + "ANT": 10238, + "Ġneck": 10239, + "Ġiniti": 10240, + "ificació": 10241, + "aqu": 10242, + "ĠÑģво": 10243, + "Ġfee": 10244, + "ван": 10245, + "found": 10246, + "ĠPeople": 10247, + "Ġterme": 10248, + "etat": 10249, + "Ġcreative": 10250, + "ĠChild": 10251, + "```": 10252, + "Ġdrawn": 10253, + "èĤ¯": 10254, + "æĺİæĺ¾": 10255, + "gence": 10256, + "Ġsubsc": 10257, + "é¢ĨåŁŁ": 10258, + "ç»ıè¿ĩ": 10259, + "ĠLand": 10260, + "Ġdifferences": 10261, + "ĠHand": 10262, + "Ġaffected": 10263, + "Ġcurve": 10264, + "Ġportion": 10265, + "Ġflowers": 10266, + "aded": 10267, + "кÑĢи": 10268, + "Names": 10269, + "stat": 10270, + "ĠProv": 10271, + "prise": 10272, + "!!!": 10273, + "æĿ¥çľĭ": 10274, + "çĥĪ": 10275, + "mi": 10276, + "è´¥": 10277, + "æĮīçħ§": 10278, + "Ġfreedom": 10279, + "Location": 10280, + "ĠBank": 10281, + "unning": 10282, + "ĠAndroid": 10283, + "Ġdiferents": 10284, + "Ġfurniture": 10285, + "ĠLake": 10286, + "æĿĤ": 10287, + "ÐŁÑĢез": 10288, + "Search": 10289, + "Ðķ": 10290, + "Ġalgebra": 10291, + "uario": 10292, + "Ġfans": 10293, + "aga": 10294, + "Ġanywhere": 10295, + "END": 10296, + "ĠUnder": 10297, + "Ġmillor": 10298, + "bing": 10299, + "------------": 10300, + "为ä»Ģä¹Ī": 10301, + "stone": 10302, + "rooms": 10303, + "edit": 10304, + "Ġrelatively": 10305, + "Ġprev": 10306, + "wr": 10307, + "ais": 10308, + "Ġdust": 10309, + "Ġscan": 10310, + "ĠмеждÑĥ": 10311, + "Ġafraid": 10312, + "Ġvelocity": 10313, + "oved": 10314, + "ĠÑģве": 10315, + "ĠElect": 10316, + "Gl": 10317, + "Ġworry": 10318, + "}\"": 10319, + "趣": 10320, + "session": 10321, + "IX": 10322, + "URE": 10323, + "auge": 10324, + "outs": 10325, + "èĢ³": 10326, + "ä¸ĭæĿ¥": 10327, + "don": 10328, + "Ġhyd": 10329, + "ĠWord": 10330, + "Ġthousands": 10331, + "Ġgrew": 10332, + "Ġproport": 10333, + "Target": 10334, + "Ġpec": 10335, + "********************************": 10336, + "share": 10337, + "hus": 10338, + "åĪ©çĶ¨": 10339, + "ĠFurther": 10340, + "Ġmarç": 10341, + "Ġdisput": 10342, + "ĠRom": 10343, + "Ġdin": 10344, + "ĠProfess": 10345, + "Ġteaching": 10346, + "нове": 10347, + "ĠJim": 10348, + "ĠPass": 10349, + "éĤ£äºĽ": 10350, + "Ġpix": 10351, + "ĠSpace": 10352, + "Ġproved": 10353, + "Ġderived": 10354, + "}}_": 10355, + "ĠRam": 10356, + "ĠCre": 10357, + "Ġfrequently": 10358, + "综åIJĪ": 10359, + "Ġindicate": 10360, + "Ġrail": 10361, + "ĠmÃł": 10362, + "Ġflux": 10363, + "å°¼": 10364, + "Ġtard": 10365, + "BS": 10366, + "ĠHave": 10367, + "ulous": 10368, + "Ġintel": 10369, + "Ġaccurate": 10370, + "并ä¸į": 10371, + "Ġlovely": 10372, + "ader": 10373, + "mosp": 10374, + "Ġapare": 10375, + "ĠAN": 10376, + "=>": 10377, + "æĢ§çļĦ": 10378, + "Ġedit": 10379, + "istration": 10380, + "prototype": 10381, + "Ġcallback": 10382, + "cluded": 10383, + "good": 10384, + "hop": 10385, + "Ġmón": 10386, + "Ġexpressed": 10387, + "Ġguys": 10388, + "ĠTim": 10389, + "security": 10390, + "Ġbaix": 10391, + "irty": 10392, + "bat": 10393, + "Ġsick": 10394, + "ĠMusic": 10395, + "Ġliqu": 10396, + "ĠBuild": 10397, + "Ġбе": 10398, + "Ġdistingu": 10399, + "ĠOnline": 10400, + "buffer": 10401, + "Ġrei": 10402, + "Ġmoments": 10403, + "ĠNS": 10404, + "Ġlen": 10405, + "ante": 10406, + "uries": 10407, + "WE": 10408, + "ĠRichard": 10409, + "Every": 10410, + "bind": 10411, + "Ġcris": 10412, + "ĠRequ": 10413, + "æľīä¸Ģ": 10414, + "ĠLight": 10415, + "Ġminor": 10416, + "template": 10417, + "ĠJO": 10418, + "Ġhast": 10419, + "ĠLicense": 10420, + "scape": 10421, + "Ġvillage": 10422, + "què": 10423, + "morrow": 10424, + "Ġwalked": 10425, + "lap": 10426, + "alysis": 10427, + "APTER": 10428, + "pref": 10429, + "Ġlic": 10430, + "ĠNO": 10431, + "through": 10432, + "ĠTerm": 10433, + "ÐĹ": 10434, + "final": 10435, + "Ġhouses": 10436, + "Ġyellow": 10437, + "words": 10438, + "ĠColor": 10439, + "ivered": 10440, + "TYPE": 10441, + "Ġlaun": 10442, + "ĠEngine": 10443, + "访": 10444, + "æļĸ": 10445, + "ä½ľèĢħ": 10446, + "³³": 10447, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 10448, + "Ġtreated": 10449, + "orthern": 10450, + "çĶ²": 10451, + "лни": 10452, + "Ġsusp": 10453, + "Window": 10454, + "olly": 10455, + "Ġfault": 10456, + "auss": 10457, + "holder": 10458, + "DR": 10459, + "æĬĺ": 10460, + "Ġpip": 10461, + "åĪ«äºº": 10462, + "Ġaccepted": 10463, + "åįģåĪĨ": 10464, + "orter": 10465, + "pository": 10466, + "Ġhole": 10467, + "ĠInstitute": 10468, + "Op": 10469, + "Url": 10470, + "ĠHenry": 10471, + "modal": 10472, + "åĩºçļĦ": 10473, + "Ġrecall": 10474, + "omic": 10475, + "ĠBrown": 10476, + "sv": 10477, + "Ġdeclar": 10478, + "ilarly": 10479, + "Ġпла": 10480, + "ĠUser": 10481, + "Ġemot": 10482, + "æ¶ī": 10483, + "Ġremained": 10484, + "Ġfairly": 10485, + "лиза": 10486, + "Ġaccounts": 10487, + "ĠSociety": 10488, + "ä½łä»¬": 10489, + "oration": 10490, + "коло": 10491, + "ĠURL": 10492, + "ĠProduct": 10493, + "Ġpadding": 10494, + "Ġcancer": 10495, + "Ġabans": 10496, + "ĠWater": 10497, + "è¿Ľä¸ĢæŃ¥": 10498, + "Ġdb": 10499, + "è´Łè´£": 10500, + "Ġhospital": 10501, + "ĠTrue": 10502, + "Once": 10503, + "ko": 10504, + "Ġmerc": 10505, + "è¯į": 10506, + "åĨ¬": 10507, + "made": 10508, + "Ġsubt": 10509, + "Ġtells": 10510, + "Ġsegons": 10511, + "Ġforgot": 10512, + "ĠStand": 10513, + "pons": 10514, + "Ġride": 10515, + "otted": 10516, + "Ġdrag": 10517, + "utils": 10518, + "empty": 10519, + "Fol": 10520, + "uplic": 10521, + "ĠHill": 10522, + "Ġallowing": 10523, + "ĠIsland": 10524, + "actual": 10525, + "让人": 10526, + "clear": 10527, + "ĠпÑĢеп": 10528, + "ĠоÑĢ": 10529, + "Ġosc": 10530, + "Ġexcess": 10531, + "ĠHa": 10532, + "Level": 10533, + "azz": 10534, + "é£İéĻ©": 10535, + "\\{\\": 10536, + "Ne": 10537, + "ĠAP": 10538, + "endent": 10539, + "address": 10540, + "unci": 10541, + "Ġmarked": 10542, + "Ġsou": 10543, + "ĠMap": 10544, + "Ġbillion": 10545, + "access": 10546, + "vidia": 10547, + "Ġrecip": 10548, + "Ġmediana": 10549, + "Ġschedule": 10550, + "ÑĢаÑĤки": 10551, + "Ġknowing": 10552, + "Ġnove": 10553, + "ĠNova": 10554, + "åıĹåĪ°": 10555, + "è¯Ĭ": 10556, + "Ġsurvey": 10557, + "Ġclaims": 10558, + "etooth": 10559, + "Ġoficial": 10560, + "Ġbond": 10561, + "aca": 10562, + "Ġattached": 10563, + "ĠSuch": 10564, + "Ġmouse": 10565, + "æľĢç»Ī": 10566, + "ç»ı常": 10567, + "VE": 10568, + "å²Ľ": 10569, + "Ġemphas": 10570, + "Ġexperiences": 10571, + "law": 10572, + "MB": 10573, + "è¿ĩåİ»": 10574, + "Ġsports": 10575, + "Ġhyper": 10576, + "Ġru": 10577, + "æĿIJæĸĻ": 10578, + "Ġdesembre": 10579, + "ĠPop": 10580, + "Ġfly": 10581, + "ç§ĭ": 10582, + "obe": 10583, + "prod": 10584, + "åºĬ": 10585, + "ById": 10586, + "ĠCode": 10587, + "may": 10588, + "Ġpla": 10589, + "Ġeleg": 10590, + "Ġlocations": 10591, + "amples": 10592, + "ĠÐŁÐ°": 10593, + "Ġsteel": 10594, + "icago": 10595, + "Ġqui": 10596, + "icker": 10597, + "Pass": 10598, + "çĥŁ": 10599, + "Ġliterature": 10600, + "Ġbranch": 10601, + "ĠRock": 10602, + "åıĺåĮĸ": 10603, + "Ġзапо": 10604, + "ÐĴÑĬн": 10605, + "建议": 10606, + "Ġauthors": 10607, + "Ġforced": 10608, + "ctr": 10609, + "Ġexport": 10610, + "Ġtight": 10611, + "Width": 10612, + "маÑĤа": 10613, + "лно": 10614, + "forward": 10615, + "Ġexperiments": 10616, + "Ġjul": 10617, + "ynchron": 10618, + "Ġconnections": 10619, + "ÃŃtol": 10620, + "success": 10621, + "çīĻ": 10622, + "Ġlle": 10623, + "ĠTry": 10624, + "Ġmental": 10625, + "æ¡¥": 10626, + "Cor": 10627, + "ĠÑģамо": 10628, + "Ġarc": 10629, + "watch": 10630, + "quare": 10631, + "çĬ¶æĢģ": 10632, + "Ġlift": 10633, + "车åŀĭ": 10634, + "æĿŁ": 10635, + "untament": 10636, + "ĠVan": 10637, + "_;": 10638, + "Ġobservations": 10639, + "Ġtotally": 10640, + "åªĴä½ĵ": 10641, + "ffect": 10642, + "dep": 10643, + "Ġblow": 10644, + "into": 10645, + "minus": 10646, + "Bundle": 10647, + "Ġadj": 10648, + "inations": 10649, + "ä¹±": 10650, + "Ġdram": 10651, + "Ġancient": 10652, + "Ġdedicated": 10653, + "Ġchecked": 10654, + "带æĿ¥": 10655, + "Pi": 10656, + "å±Ĭ": 10657, + "ĠÐĻ": 10658, + "pool": 10659, + "Ġmarriage": 10660, + "ni": 10661, + "Provider": 10662, + "Ġinstalling": 10663, + "related": 10664, + "Ġlayers": 10665, + "Ġcarefully": 10666, + "Ġmixed": 10667, + "Ġlux": 10668, + "appoint": 10669, + "hot": 10670, + "mathscr": 10671, + "Ġmerely": 10672, + "STR": 10673, + "Ġmotiv": 10674, + "Ġconsists": 10675, + "ĠLear": 10676, + "ç»ıèIJ¥": 10677, + "дени": 10678, + "Ġpromise": 10679, + "ĠоÑģно": 10680, + "Vert": 10681, + "æĵįä½ľ": 10682, + "Ġwitness": 10683, + "alian": 10684, + "缼": 10685, + "å±ŀäºİ": 10686, + "Ġdies": 10687, + "iour": 10688, + "å¹´è½»": 10689, + "Ġingred": 10690, + "ä½ĵéªĮ": 10691, + "æ¾": 10692, + "Copy": 10693, + "ĠModel": 10694, + "Ġacadem": 10695, + "try": 10696, + "éĨĴ": 10697, + "å´": 10698, + "ĠJac": 10699, + "ĠEnter": 10700, + "Ġnoted": 10701, + "宽": 10702, + "妻": 10703, + "Ġelev": 10704, + "Ġchallenges": 10705, + "åĢº": 10706, + "Defn": 10707, + "ogrÃł": 10708, + "Ve": 10709, + "Ġisol": 10710, + "Thread": 10711, + "ĠMadrid": 10712, + "Ġworkers": 10713, + "ÑĤиÑı": 10714, + "Ġoperators": 10715, + "ĠCarol": 10716, + "email": 10717, + "å°ģ": 10718, + "çĿ£": 10719, + "Ġcalculated": 10720, + "ä¹Łä¼ļ": 10721, + "ificate": 10722, + "ĠпÑĢепÑĢаÑĤки": 10723, + "RS": 10724, + "Ġmaig": 10725, + "èĵĿ": 10726, + "Ġsegment": 10727, + "kins": 10728, + "custom": 10729, + "ĠAfrica": 10730, + "ourse": 10731, + "nam": 10732, + "Ġscr": 10733, + "Ġartist": 10734, + "Ġgun": 10735, + "Ġtoken": 10736, + "Product": 10737, + "Ġidentified": 10738, + "Ġaid": 10739, + "ilit": 10740, + "erves": 10741, + "ÐĴÑĬнÑĪни": 10742, + "VD": 10743, + "Ġsolar": 10744, + "ĠHence": 10745, + "ĠÑĤой": 10746, + "Dist": 10747, + "Ġdia": 10748, + "æľī人": 10749, + "Ġfigures": 10750, + "Ġimagine": 10751, + "én": 10752, + "ixen": 10753, + "Ġnovembre": 10754, + "å¦ĩ": 10755, + "ETTER": 10756, + "ycl": 10757, + "йÑģки": 10758, + "Ġapproximately": 10759, + "Ġcars": 10760, + "èĪŀ": 10761, + "Ġreset": 10762, + "åĿı": 10763, + "Ġcrear": 10764, + "Ġcoast": 10765, + "ĠMex": 10766, + "讯": 10767, + "Ġstead": 10768, + "Ġedges": 10769, + "iveness": 10770, + "Ġ{}": 10771, + "åºĵ": 10772, + "keys": 10773, + "Local": 10774, + "Ġguests": 10775, + "asi": 10776, + "ĠCLASS": 10777, + "mount": 10778, + "tim": 10779, + "æ²ī": 10780, + "æı¡": 10781, + "atial": 10782, + "gate": 10783, + "Dem": 10784, + "询": 10785, + "çĽ¸ä¿¡": 10786, + "ipl": 10787, + "irmed": 10788, + "Ġstandards": 10789, + "触": 10790, + "çļ®èĤ¤": 10791, + "Ġescape": 10792, + "mond": 10793, + "ĠBlue": 10794, + "èģĶç½ij": 10795, + "Ġsurprise": 10796, + "Will": 10797, + "Ġdeveloping": 10798, + "Ġsigned": 10799, + "èijĹ": 10800, + "tmp": 10801, + "quer": 10802, + "Ãłncia": 10803, + "legal": 10804, + "æĪIJäºĨ": 10805, + "Ãłlia": 10806, + "Ġintroduce": 10807, + "iendo": 10808, + "Change": 10809, + "uj": 10810, + "wing": 10811, + "Ġvertical": 10812, + "shift": 10813, + "Ġextent": 10814, + "úsica": 10815, + "icons": 10816, + "ĠFlorida": 10817, + "Ġauthority": 10818, + "rant": 10819, + "纯": 10820, + "纸": 10821, + "Ġtone": 10822, + "\"?": 10823, + "ĠDen": 10824, + "enter": 10825, + "Ġjav": 10826, + "Ġgather": 10827, + "Ġkinds": 10828, + "α": 10829, + "Connection": 10830, + "ĠVict": 10831, + "åĪº": 10832, + "Ġton": 10833, + "ĠfamÃŃlies": 10834, + "湿": 10835, + "киÑĤе": 10836, + "Ġeventually": 10837, + "Ġguy": 10838, + "LS": 10839, + "Ġdiverses": 10840, + "erts": 10841, + "Pel": 10842, + "ITY": 10843, + "Ġdins": 10844, + "Ġmetric": 10845, + "_-": 10846, + "MC": 10847, + "Ġemp": 10848, + "Before": 10849, + "严éĩį": 10850, + "ĠLos": 10851, + "FAULT": 10852, + "Ġclust": 10853, + "Ġvote": 10854, + "ĠAmb": 10855, + "Tag": 10856, + "åIJī": 10857, + "зда": 10858, + "estion": 10859, + "Ġtea": 10860, + "Ġacab": 10861, + "het": 10862, + "åİļ": 10863, + "Ġreply": 10864, + "Ġdèc": 10865, + "®": 10866, + "adv": 10867, + "Ġconcerned": 10868, + "ĠLady": 10869, + "Ġcra": 10870, + "Parameter": 10871, + "Ġheav": 10872, + "ĠScott": 10873, + "ĠSO": 10874, + "æİĮ": 10875, + "ĠÑģÑĬÑīо": 10876, + "Ġlogic": 10877, + "Ġinteger": 10878, + "auto": 10879, + "æļ´": 10880, + "æľīåħ³": 10881, + "Ñģеле": 10882, + "åIJİçļĦ": 10883, + "avant": 10884, + "Ġsubsequ": 10885, + "æŃ£åľ¨": 10886, + "ç®±": 10887, + "Work": 10888, + "Ġfacts": 10889, + "Ġstrongly": 10890, + "imp": 10891, + "angular": 10892, + "Ġdent": 10893, + "ORM": 10894, + "Ġstudied": 10895, + "ĠJud": 10896, + "éĩĮçļĦ": 10897, + "Interface": 10898, + "Ġsupports": 10899, + "Ġreplaced": 10900, + "Ġoptimal": 10901, + "than": 10902, + "вна": 10903, + "tect": 10904, + ":(": 10905, + "enta": 10906, + "æ£ĢæŁ¥": 10907, + "ĠMen": 10908, + "Ġsuit": 10909, + "åİħ": 10910, + "Ġphen": 10911, + "Ġdrawing": 10912, + "ç¾İåħĥ": 10913, + "ĠSar": 10914, + "Ġagreed": 10915, + "ä¸ĵ家": 10916, + "建çŃij": 10917, + "åģı": 10918, + "Ġbiggest": 10919, + "IME": 10920, + "Ġsugar": 10921, + "ο": 10922, + "Ġtut": 10923, + "been": 10924, + "Ġos": 10925, + "è°ĵ": 10926, + "Ġstores": 10927, + "åijĬè¯ī": 10928, + "Ġcultural": 10929, + "vector": 10930, + "Ġpossibility": 10931, + "Ġbuying": 10932, + "Ġcreation": 10933, + "秣": 10934, + "Ġstructures": 10935, + "Ġargs": 10936, + "Ġrestaurant": 10937, + "Ġhearing": 10938, + "Ġbare": 10939, + "agost": 10940, + "ĠStep": 10941, + "():": 10942, + "amd": 10943, + "Ġdistributed": 10944, + "Ġuint": 10945, + "site": 10946, + "ĠHREF": 10947, + "blue": 10948, + "Ġproc": 10949, + "Ġinstit": 10950, + "æݪ": 10951, + "Ġimproved": 10952, + "им": 10953, + "iche": 10954, + "Tree": 10955, + "osis": 10956, + "Ġbrings": 10957, + "resa": 10958, + "rÃŃ": 10959, + "бÑĥ": 10960, + "Ġsy": 10961, + "()-": 10962, + "echo": 10963, + "Ġabandon": 10964, + "мей": 10965, + "Ġeconomy": 10966, + "Ġcities": 10967, + "Ġauthentic": 10968, + "ĠLETTER": 10969, + "Ġretain": 10970, + "ĠYear": 10971, + "Ãłm": 10972, + "req": 10973, + "Ġstorm": 10974, + "ÑĥÑĢг": 10975, + "Ġoccurs": 10976, + "bool": 10977, + "ERROR": 10978, + "essions": 10979, + "Ġè": 10980, + "brer": 10981, + "ĠTR": 10982, + "Ġcoverage": 10983, + "åıªèĥ½": 10984, + "ĠThursday": 10985, + "Ġenjoyed": 10986, + "ĠOp": 10987, + "Ġkne": 10988, + "Ġassistance": 10989, + "ĠClick": 10990, + "effect": 10991, + "Ġsizes": 10992, + "ĠSud": 10993, + "Ġcharged": 10994, + "estat": 10995, + "Other": 10996, + "æĶ¶åħ¥": 10997, + "éģĹ": 10998, + "Ġdynamic": 10999, + "æĥ¯": 11000, + "Ġhardly": 11001, + "Ġwhenever": 11002, + "ĠTuesday": 11003, + "Ġtrained": 11004, + "construct": 11005, + "Ġdespite": 11006, + "Ġtipus": 11007, + "anese": 11008, + "Ġsatisfied": 11009, + "âĤ¬": 11010, + "Ġpra": 11011, + "Ġlimits": 11012, + "Ġexpansion": 11013, + "Ġguerra": 11014, + "Ġreform": 11015, + "Ãłct": 11016, + "Ġexit": 11017, + "Ġvast": 11018, + "æľĢé«ĺ": 11019, + "cular": 11020, + "ynom": 11021, + "ç³»åĪĹ": 11022, + "abril": 11023, + "çĶµè¯Ŀ": 11024, + "Ġwaves": 11025, + "}})": 11026, + "Ġnormally": 11027, + "âĸ": 11028, + "Ġfederal": 11029, + "ión": 11030, + "Ġcontained": 11031, + "Ġlies": 11032, + "ĠHTML": 11033, + "å¤ļçļĦ": 11034, + "Ġphilos": 11035, + "Module": 11036, + "ç½ijåıĭ": 11037, + "Ġflash": 11038, + "Ġacknow": 11039, + "个æľĪ": 11040, + "Hi": 11041, + "iences": 11042, + "ymmet": 11043, + "Història": 11044, + "Option": 11045, + "Http": 11046, + "esta": 11047, + "Ġplate": 11048, + "èĪĴ": 11049, + "Ġreasonable": 11050, + "ĠBE": 11051, + "bes": 11052, + "acs": 11053, + "Ġcapture": 11054, + "fica": 11055, + "ÑĨиал": 11056, + "Ġdip": 11057, + "Entry": 11058, + "Ġprinciple": 11059, + "Using": 11060, + "ä¼ĺåĬ¿": 11061, + "ä¿ĿéĻ©": 11062, + "Ġле": 11063, + "Ġsilver": 11064, + "=$": 11065, + "ĠMoreover": 11066, + "设å¤ĩ": 11067, + "ĠAdv": 11068, + "ulo": 11069, + "arse": 11070, + "Ġserial": 11071, + "ĠÐłÑĥ": 11072, + "Ġtelling": 11073, + "æİ¥åıĹ": 11074, + "Ġspeaker": 11075, + "ĠMult": 11076, + "Document": 11077, + "æķ´ä¸ª": 11078, + "Ãłs": 11079, + "obl": 11080, + "ĠAtl": 11081, + "Vol": 11082, + "illy": 11083, + "æŃ£å¸¸": 11084, + "ĠSand": 11085, + "ç¦ģ": 11086, + "CODE": 11087, + "inciples": 11088, + "çŀ": 11089, + "azine": 11090, + "rior": 11091, + "Ġdisappe": 11092, + "ĠHard": 11093, + "could": 11094, + "ĠполÑĥ": 11095, + "GS": 11096, + "Ġmountain": 11097, + "ĠBob": 11098, + "ĠÑģпо": 11099, + "ĠЮ": 11100, + "ä¸Ģå®ļè¦ģ": 11101, + "å±ı": 11102, + "bot": 11103, + "Types": 11104, + "åıĤä¸İ": 11105, + "åı¯æĺ¯": 11106, + "Ġdeix": 11107, + "Good": 11108, + "лко": 11109, + "Ġjuliol": 11110, + "Ġevident": 11111, + "ression": 11112, + "ĠCentre": 11113, + "å®ŀæĸ½": 11114, + "OME": 11115, + "ĠShow": 11116, + "Ġclassic": 11117, + "ampions": 11118, + "ĠPoint": 11119, + "ét": 11120, + "Ġrepresented": 11121, + "Red": 11122, + "Ġindicates": 11123, + "pay": 11124, + "Ġheader": 11125, + "Ġapproaches": 11126, + "Container": 11127, + "Ġcompetition": 11128, + "Ġcontinues": 11129, + "worth": 11130, + "hem": 11131, + "ĠMur": 11132, + "ĠCongress": 11133, + "Ġproperes": 11134, + "Ġdetection": 11135, + "åĮ»çĸĹ": 11136, + "ç¿»": 11137, + "Ġедин": 11138, + "Ġdesigns": 11139, + "Ġcream": 11140, + "aws": 11141, + "Range": 11142, + "Ġreligious": 11143, + "FC": 11144, + "world": 11145, + "stop": 11146, + "Ġbreakfast": 11147, + "Ġstands": 11148, + "His": 11149, + "Ġloan": 11150, + "æľīéĻIJåħ¬åı¸": 11151, + "Ġoccurred": 11152, + "\"_": 11153, + "password": 11154, + "æĶ¹åıĺ": 11155, + "ĠUSA": 11156, + "åħ³éĶ®": 11157, + "ç§ģ": 11158, + "Sm": 11159, + "GREE": 11160, + "None": 11161, + "equal": 11162, + "DATE": 11163, + "tocol": 11164, + "Ñĩна": 11165, + "Json": 11166, + "огÑĢаÑĦиÑı": 11167, + "ĠWal": 11168, + "Ġtrigger": 11169, + "Step": 11170, + "Ġcomençar": 11171, + "æĥł": 11172, + "Br": 11173, + "ä¸ĭçļĦ": 11174, + "æ³ķå¾ĭ": 11175, + "éļIJ": 11176, + "lik": 11177, + "Ġconference": 11178, + "Ġgrid": 11179, + "rency": 11180, + "Ġsomewhere": 11181, + "女人": 11182, + "ĠAmazon": 11183, + "Ġchoices": 11184, + "Ġlleng": 11185, + "Ġsnap": 11186, + "agram": 11187, + "ela": 11188, + "Ġcausa": 11189, + "Ġshock": 11190, + "Ġrare": 11191, + "ç¼ĵ": 11192, + "auth": 11193, + "Ġobserve": 11194, + "éĺµ": 11195, + "ĠYet": 11196, + "çļĦæĥħåĨµ": 11197, + "Ġwealth": 11198, + "èģĶç³»": 11199, + "ĠDirector": 11200, + "Mark": 11201, + "åĬ¨åĬĽ": 11202, + "Ñĩава": 11203, + "ĠPub": 11204, + "Ġimper": 11205, + "Ġdecisions": 11206, + "ÑĥÑĤ": 11207, + "Ġcere": 11208, + "Ġdollars": 11209, + "returns": 11210, + "ели": 11211, + "Ġestimated": 11212, + "Ġbeach": 11213, + "ĠTwitter": 11214, + "ĠCPU": 11215, + "Ġjournal": 11216, + "Ġrevol": 11217, + "ĠEvent": 11218, + "åºĶçĶ¨": 11219, + "amps": 11220, + "oggle": 11221, + "Ġteach": 11222, + "ĠÑĦи": 11223, + "è°ĥæķ´": 11224, + "pub": 11225, + "store": 11226, + "пÑĬл": 11227, + "éĴ¢": 11228, + "ĠUnion": 11229, + "semble": 11230, + "Ġsab": 11231, + "estamp": 11232, + "Mult": 11233, + "ĠCirc": 11234, + "Ġyesterday": 11235, + "Long": 11236, + "Ġvon": 11237, + "Ġtou": 11238, + "POST": 11239, + "ban": 11240, + "åľĨ": 11241, + "Ġpurs": 11242, + "çļĦéĹ®é¢ĺ": 11243, + "textrm": 11244, + "Ġ::": 11245, + "Ãłnia": 11246, + "Ġdrug": 11247, + "called": 11248, + "asket": 11249, + "éĵ¾": 11250, + "æĪijåĽ½": 11251, + "çĶµå½±": 11252, + "classes": 11253, + "screen": 11254, + "Ġskill": 11255, + "istrict": 11256, + "blem": 11257, + "Ġofficer": 11258, + "bled": 11259, + "Ġbelief": 11260, + "Ġcapable": 11261, + "ibles": 11262, + "Ġmm": 11263, + "bered": 11264, + "ools": 11265, + "Ġposterior": 11266, + "Pe": 11267, + "Ġatmosp": 11268, + "Ġpolar": 11269, + "eping": 11270, + "Ġlinux": 11271, + "Ġgreatly": 11272, + "Ġsport": 11273, + "Ġexperts": 11274, + "飩": 11275, + "Ġoscill": 11276, + "Ġbelie": 11277, + "å¹ķ": 11278, + "ĠGuerra": 11279, + "underline": 11280, + "éĶħ": 11281, + "Ġmenys": 11282, + "åħ±åIJĮ": 11283, + "Ġeating": 11284, + "nombre": 11285, + "çĮ®": 11286, + "amber": 11287, + "ÃŃncia": 11288, + "Ġholiday": 11289, + "Ġsigns": 11290, + "Sl": 11291, + "符": 11292, + "ighter": 11293, + "ĠWHERE": 11294, + "æĮij": 11295, + "Ġfunds": 11296, + "Ġtrem": 11297, + "ç»ĵåIJĪ": 11298, + "ĠVirgin": 11299, + "Ġнад": 11300, + "ellar": 11301, + "Ġpositions": 11302, + "\\'": 11303, + "以æĿ¥": 11304, + "ounded": 11305, + "BE": 11306, + "transform": 11307, + "great": 11308, + "ĠSD": 11309, + "osta": 11310, + "æĹłè®º": 11311, + "Configuration": 11312, + "GREEK": 11313, + "}},": 11314, + "Offset": 11315, + "Ġbin": 11316, + "HO": 11317, + "Ġaconsegu": 11318, + "ĠTake": 11319, + "Ġpeak": 11320, + "Ġinstrument": 11321, + "Ġprepare": 11322, + "mann": 11323, + "ĠDig": 11324, + "èĢĮæĺ¯": 11325, + "iden": 11326, + "Ġpermet": 11327, + "ĠEr": 11328, + "ĠWednesday": 11329, + "pressed": 11330, + "iece": 11331, + "enth": 11332, + "æİĪ": 11333, + "Ġeigen": 11334, + "Ġtrick": 11335, + "Ġworst": 11336, + "Que": 11337, + "ène": 11338, + "Ġot": 11339, + "VID": 11340, + "ĠDemocr": 11341, + "Ġju": 11342, + "ĠSMALL": 11343, + "Ġprovider": 11344, + "isely": 11345, + "ĠÑĢабо": 11346, + "ĠPage": 11347, + "Ġcontribution": 11348, + "wa": 11349, + "Ġthorough": 11350, + "å¿ĺ": 11351, + "Ġnine": 11352, + "Fut": 11353, + "oz": 11354, + "ä¼Ļ": 11355, + "proto": 11356, + "Ġnecessarily": 11357, + "tool": 11358, + "Va": 11359, + "Ġdiscount": 11360, + "Ġofficers": 11361, + "ĠPerson": 11362, + "Ġdialog": 11363, + "python": 11364, + "Ġperquè": 11365, + "erred": 11366, + "ĠCanad": 11367, + "romise": 11368, + "Ġprofessionals": 11369, + "Med": 11370, + "ACE": 11371, + "беÑĢ": 11372, + "none": 11373, + "Make": 11374, + "Ġwest": 11375, + "aquesta": 11376, + "ĠManager": 11377, + "æĸ¹åIJij": 11378, + "aml": 11379, + "ĠCommit": 11380, + "ĠLast": 11381, + "æ±ĩ": 11382, + "GET": 11383, + "ĠGermany": 11384, + "Ġremind": 11385, + "Ġorganizations": 11386, + "tons": 11387, + "æ¶Īè´¹èĢħ": 11388, + "Ġtrace": 11389, + "Ġquè": 11390, + "ativa": 11391, + "Ġfourth": 11392, + "ician": 11393, + "ometric": 11394, + "ĠFire": 11395, + "ĠнÑıко": 11396, + "ĠGar": 11397, + "ä¹ĺ": 11398, + "кÑĢа": 11399, + "Ġjuny": 11400, + "ĠSeries": 11401, + "Ġcomplic": 11402, + "ĠControl": 11403, + "ĠEducation": 11404, + "Ġlayout": 11405, + "å°¤åħ¶": 11406, + "erman": 11407, + "Ġtrou": 11408, + "ĠHistory": 11409, + "æĶ¹éĿ©": 11410, + "æĹĹ": 11411, + "ĠCaptain": 11412, + "%%": 11413, + "å±ĭ": 11414, + "Ġgrass": 11415, + "archive": 11416, + "ĠFull": 11417, + "çĥ§": 11418, + "ĠSecond": 11419, + "Ġdoors": 11420, + "æ»ij": 11421, + "ĠcatalÃł": 11422, + "eli": 11423, + "éĻĨ": 11424, + "Ñĥн": 11425, + "èĥĥ": 11426, + "ĠDuring": 11427, + "Ġcommunities": 11428, + "ĠСа": 11429, + "jpg": 11430, + "iser": 11431, + "send": 11432, + "rimoni": 11433, + "Ġblank": 11434, + "Ġreb": 11435, + "Ġplays": 11436, + "Ġretail": 11437, + "arest": 11438, + "Ġsoci": 11439, + "Sw": 11440, + "麻": 11441, + "Ġparticles": 11442, + "enes": 11443, + "oking": 11444, + "MENT": 11445, + "help": 11446, + "onder": 11447, + "ĠÐĶи": 11448, + "geu": 11449, + "幸ç¦ı": 11450, + "ĠFind": 11451, + "LP": 11452, + "Stat": 11453, + "éĿ¢å¯¹": 11454, + "家éķ¿": 11455, + "Ġshopping": 11456, + "Ġfebrer": 11457, + "arer": 11458, + "antly": 11459, + "Ġмного": 11460, + "ĠTour": 11461, + "Have": 11462, + "Project": 11463, + "Ġdifficulty": 11464, + "rw": 11465, + "Ġsèrie": 11466, + "Ġmatching": 11467, + "idential": 11468, + "Ġtested": 11469, + "metres": 11470, + "itionally": 11471, + "Ġclothes": 11472, + "subseteq": 11473, + "ĠSoftware": 11474, + "群ä¼Ĺ": 11475, + "wall": 11476, + "Ġexecution": 11477, + "texttt": 11478, + "activ": 11479, + "Ġsharp": 11480, + "Entity": 11481, + "Ġmeasurements": 11482, + "ĠDB": 11483, + "artifact": 11484, + "hard": 11485, + "cloud": 11486, + "Ġreput": 11487, + "Ġвек": 11488, + "Ġcalculate": 11489, + "寻": 11490, + "Ġenhance": 11491, + "ä¿Ŀéļľ": 11492, + "èī²çļĦ": 11493, + "aret": 11494, + "Ġflight": 11495, + "豪": 11496, + "Ġconvenient": 11497, + "Ġchemical": 11498, + "qü": 11499, + "task": 11500, + "Ġgap": 11501, + "Su": 11502, + "ĠWall": 11503, + "Ġguest": 11504, + "éĢĶ": 11505, + "anish": 11506, + "away": 11507, + "Ġcm": 11508, + "Ġig": 11509, + "Ġhall": 11510, + "CHAPTER": 11511, + "deg": 11512, + "Âłkm": 11513, + "eto": 11514, + "coin": 11515, + "Ġclosely": 11516, + "Illustr": 11517, + "(){": 11518, + "Ġtrib": 11519, + "Ġlights": 11520, + "Build": 11521, + "UID": 11522, + "Ġutilitz": 11523, + "rivial": 11524, + "å·Ŀ": 11525, + "ested": 11526, + "Ġdisabled": 11527, + "Ġinterval": 11528, + "Morts": 11529, + "Ñģен": 11530, + "Ġsustain": 11531, + "Core": 11532, + "iem": 11533, + "ĠLim": 11534, + "驾驶": 11535, + "ĠÐŁÐµ": 11536, + "ä¸įçŁ¥éģĵ": 11537, + "Ġbelieved": 11538, + "searc": 11539, + "erring": 11540, + "Ġmilk": 11541, + "Ġreward": 11542, + "Ġexplanation": 11543, + "Ġdriven": 11544, + "cript": 11545, + "Ġmaintenance": 11546, + "oked": 11547, + "settings": 11548, + "Sign": 11549, + "Ġwarning": 11550, + "Ġ_{": 11551, + "API": 11552, + "Ġkeeps": 11553, + "å¯Ĵ": 11554, + "ĠHor": 11555, + "воÑĢ": 11556, + "Ġaccommod": 11557, + "================================": 11558, + "å°ıç¼ĸ": 11559, + "вно": 11560, + "ĠSign": 11561, + "Ġease": 11562, + "FL": 11563, + "dm": 11564, + "Ġgrant": 11565, + "modules": 11566, + "Ġgrat": 11567, + "Ġmassive": 11568, + "ĠMS": 11569, + "ĠReturns": 11570, + "live": 11571, + "Ġsorry": 11572, + "empreses": 11573, + "Ġhorses": 11574, + "ĠInstall": 11575, + "Ġmodified": 11576, + "ĠHamilton": 11577, + "patch": 11578, + "Ġfocused": 11579, + "unting": 11580, + "Ġsignals": 11581, + "join": 11582, + "вни": 11583, + "åıĬæŶ": 11584, + "ÑģиÑı": 11585, + "зиÑı": 11586, + "Many": 11587, + "ÐłÐ¾": 11588, + "arl": 11589, + "Ġbroke": 11590, + "éĿ¢çļĦ": 11591, + "Ġinvent": 11592, + "ĠSche": 11593, + "ĠBon": 11594, + "curs": 11595, + "----------------------------------------------------------------": 11596, + "ĠDie": 11597, + "Ġdepartment": 11598, + "ĠJSON": 11599, + "illing": 11600, + "Ġdogs": 11601, + "ĠPS": 11602, + "every": 11603, + "Ġ(_": 11604, + "ònia": 11605, + "Ġdetermin": 11606, + "讨": 11607, + "Ġtengo": 11608, + "Ġinterests": 11609, + "Ġsail": 11610, + "泡": 11611, + "Ġarchitecture": 11612, + "ем": 11613, + "hom": 11614, + "Ñĩина": 11615, + "Ġrealize": 11616, + "åħ·ä½ĵ": 11617, + "Ġminimal": 11618, + "inking": 11619, + "Ġindustrial": 11620, + "Ġvaluable": 11621, + "æ··": 11622, + "建ç«ĭ": 11623, + "neg": 11624, + "models": 11625, + "Host": 11626, + "Ġcontents": 11627, + "Who": 11628, + "å¼Ł": 11629, + "ĠгÑĢÑĥ": 11630, + "èrc": 11631, + "ä¼ļè®®": 11632, + "Ġresid": 11633, + "ĠGi": 11634, + "ĉfor": 11635, + "uta": 11636, + "Ġbutter": 11637, + "Ġneighborhood": 11638, + "Ġconstraints": 11639, + "å®Ŀå®Ŀ": 11640, + "çĶŁçļĦ": 11641, + "Ġsuggests": 11642, + "æ´ĭ": 11643, + "token": 11644, + "roduction": 11645, + "æ·¡": 11646, + "Ġrig": 11647, + "ĠHi": 11648, + "plugin": 11649, + "ĠAccess": 11650, + "export": 11651, + "Ġdispl": 11652, + "iate": 11653, + "oral": 11654, + "Ġevil": 11655, + "ĠFamily": 11656, + "GO": 11657, + "PN": 11658, + "acon": 11659, + "ĠCorporation": 11660, + "Font": 11661, + "ĠÑ": 11662, + "Ġpoble": 11663, + "Ð¥": 11664, + "?'": 11665, + "Ġassumed": 11666, + "».": 11667, + "ibilities": 11668, + "æ³ķéĻ¢": 11669, + "Ġhook": 11670, + "ç»ıéªĮ": 11671, + "нÑģки": 11672, + "onel": 11673, + "Height": 11674, + "ç§ĺ": 11675, + "ĠSaint": 11676, + "ĠMethod": 11677, + "æ´ģ": 11678, + "verb": 11679, + "ĠCommission": 11680, + "Ġraw": 11681, + "Ġexecute": 11682, + "aux": 11683, + "docs": 11684, + "Ġconvent": 11685, + "Ġnaturally": 11686, + "Ġimprovement": 11687, + "éĺ¶æ®µ": 11688, + "éķľ": 11689, + "DP": 11690, + "Ġdades": 11691, + "elles": 11692, + "istan": 11693, + "Ġrecipe": 11694, + "total": 11695, + "ĠMartin": 11696, + "Ġdiet": 11697, + "лиÑĤи": 11698, + "agu": 11699, + "weet": 11700, + "footnote": 11701, + "è¿ĩç¨ĭä¸Ń": 11702, + "ĠDat": 11703, + "BR": 11704, + "Ġalbum": 11705, + "ucion": 11706, + "гиÑı": 11707, + "Ġtaught": 11708, + "æĿ¥èĩª": 11709, + "Ġcommitted": 11710, + "ensed": 11711, + "ĠEarth": 11712, + "Ġsongs": 11713, + "她çļĦ": 11714, + "Cap": 11715, + "Ġfemale": 11716, + "ĠWhich": 11717, + "Ñħи": 11718, + "Most": 11719, + "èĥ¡": 11720, + "Ġsheet": 11721, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 11722, + "Ġdimensions": 11723, + "å¦Ĥä»Ĭ": 11724, + "Ġ'/": 11725, + "Ġrecover": 11726, + "ĠTeam": 11727, + "TA": 11728, + "Ġheaven": 11729, + "Ġhung": 11730, + "Ġinstances": 11731, + "Ġlicense": 11732, + "åĬłå¼º": 11733, + "Ġgro": 11734, + "æī©": 11735, + "Ġarrest": 11736, + "Ġwheel": 11737, + "ĠChicago": 11738, + "ĠField": 11739, + "丰å¯Į": 11740, + "веÑĤе": 11741, + "quet": 11742, + "Theta": 11743, + "Ġpleased": 11744, + "Ġfacilities": 11745, + "ployment": 11746, + "ĉ},": 11747, + "Only": 11748, + "entity": 11749, + "ĠпÑĢоиз": 11750, + "Ġreaders": 11751, + "ĠAnother": 11752, + "èĤĮ": 11753, + "idget": 11754, + "lg": 11755, + "ĠCreat": 11756, + "Device": 11757, + "åĪĨåĪ«": 11758, + "Ġmanifest": 11759, + "Ġsimulation": 11760, + "ĠSecret": 11761, + "åŃķ": 11762, + "Ġreferred": 11763, + "Application": 11764, + "åĬ±": 11765, + "Ġinterf": 11766, + "plan": 11767, + "orro": 11768, + "icked": 11769, + "Ġmeasurement": 11770, + "Ġcompute": 11771, + "emper": 11772, + "Ġacts": 11773, + "igua": 11774, + "Ġhtml": 11775, + "éĽħ": 11776, + "Ġbg": 11777, + "Ġaxis": 11778, + "Ġeffectively": 11779, + "Ġdebt": 11780, + "Position": 11781, + "Ġvolunte": 11782, + "ĠCat": 11783, + "ĠNov": 11784, + "订": 11785, + "é¦ĸåħĪ": 11786, + "PRE": 11787, + "Ġcloser": 11788, + "ĠSELECT": 11789, + "Ġextend": 11790, + "Ġell": 11791, + "copy": 11792, + "Ġlit": 11793, + "æİ¨è¿Ľ": 11794, + "åŃĻ": 11795, + "Ġdepos": 11796, + "ango": 11797, + "Ġtheorem": 11798, + "Ġpoc": 11799, + "Thus": 11800, + "linewidth": 11801, + "Ġhash": 11802, + "setminus": 11803, + "clip": 11804, + "ĠInit": 11805, + "Ġrelationships": 11806, + "Ġfeels": 11807, + "æķħäºĭ": 11808, + "é¾Ħ": 11809, + "Ġcuando": 11810, + "ĠGR": 11811, + "Settings": 11812, + "fold": 11813, + "Ġpolicies": 11814, + "Ġxml": 11815, + "Menu": 11816, + "Ġregistered": 11817, + "æī¶": 11818, + "Ġbold": 11819, + "Ġbanda": 11820, + "ERS": 11821, + "Tra": 11822, + "ĠPay": 11823, + "Ġgrown": 11824, + "Ġcrowd": 11825, + "åı¦å¤ĸ": 11826, + "æĩĤ": 11827, + "Ġdelivered": 11828, + "GIS": 11829, + "Ġtrop": 11830, + "æķ¢": 11831, + "ĠFund": 11832, + "Ġstatist": 11833, + "Ġmole": 11834, + "Num": 11835, + "aligned": 11836, + "AY": 11837, + "anguages": 11838, + "Ġacceler": 11839, + "iral": 11840, + "Ġpatterns": 11841, + "Ġcleaning": 11842, + "okes": 11843, + "Ġconcerns": 11844, + "asts": 11845, + "ĠFit": 11846, + "å¼ĥ": 11847, + "ĠDist": 11848, + "ложе": 11849, + "icians": 11850, + "Header": 11851, + "resol": 11852, + "ĠDevelopment": 11853, + "gage": 11854, + "Ġstrategies": 11855, + "Ant": 11856, + "bits": 11857, + "Ġabund": 11858, + "mal": 11859, + "ĠiP": 11860, + "æĿ¯": 11861, + "shall": 11862, + "Ġnomen": 11863, + "Utils": 11864, + "<<": 11865, + "ĠTABLE": 11866, + "Ġalguns": 11867, + "Serial": 11868, + "again": 11869, + "Ġterror": 11870, + "Ġradius": 11871, + "Ġ:)": 11872, + "å°±åı¯ä»¥": 11873, + "å¾Īå¤ļ人": 11874, + "orithms": 11875, + "BN": 11876, + "лаÑĤа": 11877, + "Custom": 11878, + "Ġpreced": 11879, + "isa": 11880, + "Ġpleasant": 11881, + "Ġloaded": 11882, + "é½IJ": 11883, + "Ġvehicles": 11884, + "oston": 11885, + "ĠFred": 11886, + "ishment": 11887, + "çĶµè§Ĩ": 11888, + "pu": 11889, + "widget": 11890, + "Lo": 11891, + "Ġdangerous": 11892, + "Ġaspects": 11893, + "Ġestava": 11894, + "Ġentries": 11895, + "Ġreboot": 11896, + "æľ«": 11897, + "ĠJournal": 11898, + "åģļ好": 11899, + "Ġparticle": 11900, + "çĮª": 11901, + "Ġgrace": 11902, + "Ġfilename": 11903, + "ä½įç½®": 11904, + "Ġwireless": 11905, + "èm": 11906, + "nome": 11907, + "Ġdecay": 11908, + "Ġassumption": 11909, + "Has": 11910, + "Ġclassical": 11911, + "ushing": 11912, + "Art": 11913, + "PH": 11914, + "Ġesto": 11915, + "OUT": 11916, + "NOT": 11917, + "Ġspending": 11918, + "ĠAcadem": 11919, + "æķĻå¸Ī": 11920, + "Ġteachers": 11921, + "Empty": 11922, + "PM": 11923, + "clock": 11924, + "admin": 11925, + "theless": 11926, + "Ġchannels": 11927, + "gent": 11928, + "åIJĮæł·": 11929, + "roke": 11930, + "çĶ³è¯·": 11931, + "Ġrender": 11932, + "Ġbench": 11933, + "дни": 11934, + "Ġизпол": 11935, + "Ġvisitors": 11936, + "definition": 11937, + "Unit": 11938, + "Callback": 11939, + "amos": 11940, + "Ġwarn": 11941, + "Ġshr": 11942, + "riting": 11943, + "uler": 11944, + "Ġstruck": 11945, + "Ġblind": 11946, + "aver": 11947, + "Ġimped": 11948, + "车è¾Ĩ": 11949, + "stylesheet": 11950, + "è¯ļ": 11951, + "ĠMedia": 11952, + "Ġrenda": 11953, + "Ġresolve": 11954, + "ugment": 11955, + "åIJİæĿ¥": 11956, + "Ġмай": 11957, + "Ġ\\;": 11958, + "delete": 11959, + "Ġapro": 11960, + "comes": 11961, + "åĢį": 11962, + "loop": 11963, + "Store": 11964, + "erenc": 11965, + "irection": 11966, + "ĠCop": 11967, + "Av": 11968, + "ÑģÑĤоÑĢиÑı": 11969, + "毫": 11970, + "Ġrestore": 11971, + "short": 11972, + "Ġpropag": 11973, + "Ġarrang": 11974, + "internal": 11975, + "ropy": 11976, + "Ġawesome": 11977, + "Ġsending": 11978, + "æĮĤ": 11979, + "Ġcareful": 11980, + "Ġjudg": 11981, + "ICE": 11982, + "Ġquantity": 11983, + "Ġchip": 11984, + "Ġreduction": 11985, + "Ġpractices": 11986, + "éĤ£ä¸ª": 11987, + "ĠNumber": 11988, + "Pref": 11989, + "ĠÐłÐ¾": 11990, + "ĠCamb": 11991, + "ĠBern": 11992, + "INS": 11993, + "multi": 11994, + "Ġpermission": 11995, + "Ġlists": 11996, + "ĠPrice": 11997, + "Ġnúmer": 11998, + "Ġbringing": 11999, + "Ġupload": 12000, + "oest": 12001, + "ĠSaf": 12002, + "lie": 12003, + "ĉĉ$": 12004, + "Ġpointed": 12005, + "Ġwondering": 12006, + "WS": 12007, + "ificar": 12008, + "plements": 12009, + "Ġinjury": 12010, + "Ġgoods": 12011, + "Ġbigger": 12012, + "ĠInstead": 12013, + "лна": 12014, + "èħ¿": 12015, + "Ġmodes": 12016, + "Ġcomprehens": 12017, + "Ġheads": 12018, + "Illustration": 12019, + "ĠMas": 12020, + "cases": 12021, + "Ġtechnique": 12022, + "汤": 12023, + "Ġhistòria": 12024, + "Ġdestination": 12025, + "бÑĥÑĢг": 12026, + "ĠLINE": 12027, + "fire": 12028, + "Ġfo": 12029, + "Ġjson": 12030, + "ĠNext": 12031, + "æĥ³è¦ģ": 12032, + "åĭĩ": 12033, + "åİĭåĬĽ": 12034, + "å¤ļå°ij": 12035, + "Ġ['": 12036, + "Ġ})": 12037, + "Ġagents": 12038, + "vironment": 12039, + "John": 12040, + "Ġbrill": 12041, + "Ġpairs": 12042, + "ÑīаÑĤа": 12043, + "ih": 12044, + "ilst": 12045, + "Ġundefined": 12046, + "PORT": 12047, + "tar": 12048, + "lista": 12049, + "Ġmatches": 12050, + "Ġdynamics": 12051, + "een": 12052, + "ĠQueen": 12053, + "Ġoverride": 12054, + "resource": 12055, + "ophy": 12056, + "zero": 12057, + "...\"": 12058, + "Ġsubset": 12059, + "agers": 12060, + "Ġappreciate": 12061, + "Ġtheore": 12062, + "ÑĢио": 12063, + "\"))": 12064, + "Ġreceiving": 12065, + "Mac": 12066, + "pid": 12067, + "Ġcasa": 12068, + "ĠRoyal": 12069, + "ĉ/**": 12070, + "ket": 12071, + "mag": 12072, + "Ġsituat": 12073, + "Ġfraction": 12074, + "Ġsubstant": 12075, + "ĠXX": 12076, + "ocker": 12077, + "Ġvertex": 12078, + "insert": 12079, + "çݰ代": 12080, + "Ġsurprised": 12081, + "stable": 12082, + "Reference": 12083, + "umps": 12084, + "Ġpowers": 12085, + "Ġachieved": 12086, + "ÃŃstiques": 12087, + "Ġhappening": 12088, + "webkit": 12089, + "Ġcharges": 12090, + "sos": 12091, + "Ġejemplo": 12092, + "ĠPRO": 12093, + "focus": 12094, + "lov": 12095, + "Ġgeneric": 12096, + "ĠLine": 12097, + "æķ´ä½ĵ": 12098, + "åĶIJ": 12099, + "Ġphenomen": 12100, + "迪": 12101, + "ç»ĵæŀĦ": 12102, + "atrix": 12103, + "lers": 12104, + "稳å®ļ": 12105, + "Ġlips": 12106, + "Ġsensor": 12107, + "Ġjustice": 12108, + "hemat": 12109, + "Ġsed": 12110, + "ipp": 12111, + "Ġgauge": 12112, + "òp": 12113, + "Ġcrim": 12114, + "æĸĩç«ł": 12115, + "ĠProcess": 12116, + "Ġcandidate": 12117, + "Amer": 12118, + "ĠCab": 12119, + "ski": 12120, + "Ġgrans": 12121, + "Ġpolynom": 12122, + "Ġdècada": 12123, + "²": 12124, + "Ġsearching": 12125, + "ĠVen": 12126, + "\"));": 12127, + "controller": 12128, + "Ġnarr": 12129, + "ÑĨиона": 12130, + "Ġthreshold": 12131, + "çĸ¾çĹħ": 12132, + "Sum": 12133, + "Ġdona": 12134, + "Ġris": 12135, + "Ġmachines": 12136, + "berry": 12137, + "Ġrecognized": 12138, + "Ġconstantly": 12139, + "bootstrap": 12140, + "Ġurb": 12141, + "Ġsurg": 12142, + "Ġsilence": 12143, + "Ġlinked": 12144, + "Ġdance": 12145, + "ĠCath": 12146, + "Ġarribar": 12147, + "Finally": 12148, + "Ġvul": 12149, + "charge": 12150, + "Ġselling": 12151, + "åĩıå°ij": 12152, + "çļĦé«ĺ": 12153, + "Ñģла": 12154, + "éķ¿æľŁ": 12155, + "Ġsys": 12156, + "Ġwhereas": 12157, + "ĠThose": 12158, + "æľĢ大": 12159, + "Cle": 12160, + "Ġmeal": 12161, + "éŀ": 12162, + "å®£ä¼ł": 12163, + "ĠGall": 12164, + "elle": 12165, + "ĠReport": 12166, + "ĠPac": 12167, + "points": 12168, + "Ġpartial": 12169, + "Ġnoun": 12170, + "Ġprofessor": 12171, + "Ġhang": 12172, + "æĪIJ绩": 12173, + "ĠÐĿи": 12174, + "Ġdocumentation": 12175, + "Ġusar": 12176, + "éĺħ": 12177, + "Ġsuperv": 12178, + "EC": 12179, + "ĠValue": 12180, + "area": 12181, + "Ġcritic": 12182, + "Ġaside": 12183, + "erer": 12184, + "ĠMir": 12185, + "çĶŁæĢģ": 12186, + "ĠобÑīи": 12187, + "äºĴèģĶç½ij": 12188, + "NT": 12189, + "Ġbegins": 12190, + "uropa": 12191, + "Ġformation": 12192, + "ĠComput": 12193, + "cale": 12194, + "ĠCore": 12195, + "Section": 12196, + "Ġpp": 12197, + "artifactId": 12198, + "arca": 12199, + "ĠDesprés": 12200, + "Ġplastic": 12201, + "ĠSecurity": 12202, + "Ġresearc": 12203, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 12204, + "Ġfunción": 12205, + "ĠSy": 12206, + "Ġstrip": 12207, + "Ġcastell": 12208, + "Ġcoach": 12209, + "ĠSupport": 12210, + "Comple": 12211, + "\"'": 12212, + "Ġscenario": 12213, + "border": 12214, + "äºİæĺ¯": 12215, + "Ġresidents": 12216, + "Ġfool": 12217, + "itan": 12218, + "Ġkid": 12219, + "\"../../../../../": 12220, + "äºĭæĥħ": 12221, + "According": 12222, + "ĠCur": 12223, + "oker": 12224, + "dated": 12225, + "Two": 12226, + "lan": 12227, + "仪": 12228, + "ilib": 12229, + "ulture": 12230, + "åĿĢ": 12231, + "git": 12232, + "缣": 12233, + "ĠFOR": 12234, + "_{(": 12235, + "hash": 12236, + "Ġestabl": 12237, + "west": 12238, + "without": 12239, + "Ġgram": 12240, + "nergy": 12241, + "çļĦå¿ĥ": 12242, + "è§Ħ模": 12243, + "Ġjudge": 12244, + "ĠFestival": 12245, + "ÑĤеÑĢ": 12246, + "éģį": 12247, + "Ġcot": 12248, + "usher": 12249, + "Ġordinary": 12250, + "Ġmanually": 12251, + "ĠFinally": 12252, + "dx": 12253, + "formance": 12254, + "ronic": 12255, + "ocolate": 12256, + "ĠDevice": 12257, + "Ġcategories": 12258, + "èĢĥèĻij": 12259, + "äºĭä¸ļ": 12260, + "Ġattributes": 12261, + "ÑģÑĤав": 12262, + "ĠGame": 12263, + "*{": 12264, + "ĠMuseum": 12265, + "Ġliked": 12266, + "QU": 12267, + "ا": 12268, + "erty": 12269, + "ĠVAL": 12270, + "Ġinstruction": 12271, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 12272, + "Ġhay": 12273, + "Esp": 12274, + "ĠJun": 12275, + "ÑĢади": 12276, + "uten": 12277, + "Ġupgrad": 12278, + "hora": 12279, + "ĠEll": 12280, + "éĩıçļĦ": 12281, + "æł¸å¿ĥ": 12282, + "ĠTre": 12283, + "Ġriu": 12284, + "Ġadmin": 12285, + "Ġreliable": 12286, + "ographic": 12287, + "Figure": 12288, + "imately": 12289, + "ĠÑĥÑģ": 12290, + "Ġinterrupt": 12291, + "å¿Ļ": 12292, + "Ġfunc": 12293, + "Ġexperimental": 12294, + "RR": 12295, + "ĠBud": 12296, + "Main": 12297, + "Ġstuck": 12298, + "Ġbounded": 12299, + "Ġfootball": 12300, + "Ġsatisfy": 12301, + "Ġcosa": 12302, + "æī§è¡Į": 12303, + "è¶ĭ": 12304, + "ĠArts": 12305, + "ĠMot": 12306, + "Ġfra": 12307, + "ĠÑĦил": 12308, + "æī¬": 12309, + "stal": 12310, + "Err": 12311, + "ĠScot": 12312, + "Ġparse": 12313, + "å®Ĺ": 12314, + "Ġdisplayed": 12315, + "å¼ķèµ·": 12316, + "ĠWi": 12317, + "ĠBase": 12318, + "ÃŃtic": 12319, + "cohol": 12320, + "даÑĤа": 12321, + "ĠSpanish": 12322, + "æħ§": 12323, + "cb": 12324, + "Deb": 12325, + "Ġmask": 12326, + "ĠÐŀÑĤ": 12327, + "éļĶ": 12328, + "Loc": 12329, + "ä¼°": 12330, + "Ġprivile": 12331, + "Left": 12332, + "ĠDownload": 12333, + "Ġconsideration": 12334, + "component": 12335, + "ů": 12336, + "å°¿": 12337, + "Foot": 12338, + "subfigure": 12339, + "Ġprotocol": 12340, + "dem": 12341, + "Ġmeat": 12342, + "replace": 12343, + "ĠСÑĬ": 12344, + "Ġmand": 12345, + "ä¸Ģ个人": 12346, + "Ġ\"\\": 12347, + "Ġcompatible": 12348, + "Ġsacr": 12349, + "ysical": 12350, + "ноÑģÑĤÑĤа": 12351, + "åħ¨éĥ¨": 12352, + "Non": 12353, + "ÑĦоÑĢ": 12354, + "thread": 12355, + "late": 12356, + "Ġmainly": 12357, + "ĠBefore": 12358, + "ĠpaÃŃs": 12359, + "dagger": 12360, + "ä¹łæĥ¯": 12361, + "Ġemployed": 12362, + "Ġclause": 12363, + "Ġgre": 12364, + "ĠMaybe": 12365, + "Ġanyway": 12366, + "Ġsole": 12367, + "uality": 12368, + "缩": 12369, + "æīĵéĢł": 12370, + "quitect": 12371, + "Ġexciting": 12372, + "æĽ´æĺ¯": 12373, + "Ġresponsibility": 12374, + "ĠSpecial": 12375, + "Ġ*)": 12376, + "green": 12377, + "being": 12378, + "Ġmechanism": 12379, + "Ġvib": 12380, + "ONE": 12381, + "ĠCommunity": 12382, + "Ġaplic": 12383, + "éĥ½ä¸į": 12384, + "меÑĢикан": 12385, + "Ġsecondary": 12386, + "Ġdish": 12387, + "ECT": 12388, + "agen": 12389, + "UD": 12390, + "Ġswim": 12391, + "ниÑıÑĤа": 12392, + "enda": 12393, + "ĠðŁ": 12394, + "Ġhaver": 12395, + "utch": 12396, + "Ġapproximation": 12397, + "Ġast": 12398, + "åıĸå¾Ĺ": 12399, + "Ġsenior": 12400, + "Ġconfigur": 12401, + "ĠPhot": 12402, + "Ġoh": 12403, + "ĠMath": 12404, + "ĉĠ": 12405, + "ä¿Ŀè¯ģ": 12406, + "parameter": 12407, + "çĶµåŃIJ": 12408, + "ĠCommittee": 12409, + "account": 12410, + "ÑĤиÑĤе": 12411, + "Ġpicked": 12412, + "æij©": 12413, + "Ġhurt": 12414, + "Ġimmediate": 12415, + "èĮĥåĽ´": 12416, + "çĭĹ": 12417, + "Ġapplying": 12418, + "Ġиме": 12419, + "ĠAlg": 12420, + "RC": 12421, + "Ġperspective": 12422, + "Ġapparently": 12423, + "Ġbuildings": 12424, + "æ±ł": 12425, + "Ġbtn": 12426, + "ĠPDF": 12427, + "rium": 12428, + "eling": 12429, + "msg": 12430, + "Ġcitizens": 12431, + "ĠVersion": 12432, + "æ¶Īæģ¯": 12433, + "disc": 12434, + "æĪIJæľ¬": 12435, + "family": 12436, + "Ġdrew": 12437, + "Ġfunctional": 12438, + "OU": 12439, + "污": 12440, + "Show": 12441, + "Ġguarantee": 12442, + "Ġrequests": 12443, + "ĉĉĉĉĉĉĉ<": 12444, + "ĠTrump": 12445, + "Ġpsych": 12446, + "elly": 12447, + "HTML": 12448, + "èĦı": 12449, + "Order": 12450, + "æľīäºĨ": 12451, + "Ġhide": 12452, + "foo": 12453, + "ĠtÃŃtol": 12454, + "æĤī": 12455, + "Ġreligion": 12456, + "ali": 12457, + "Ġplanet": 12458, + "Ġcommonly": 12459, + "riu": 12460, + "Properties": 12461, + "groupId": 12462, + "erning": 12463, + "Ġsentences": 12464, + "ĠOK": 12465, + "uv": 12466, + "oplus": 12467, + "ĠZe": 12468, + "global": 12469, + "Ġeast": 12470, + "Ġconstrucció": 12471, + "secut": 12472, + "ç¼ĺ": 12473, + "ĠAix": 12474, + "éĢĤåIJĪ": 12475, + "Ġparticipants": 12476, + "Ġbyte": 12477, + "Ġalert": 12478, + "Ġextreme": 12479, + "ĠNacional": 12480, + "赶": 12481, + "know": 12482, + "rog": 12483, + "Ġfeelings": 12484, + "Ġchat": 12485, + "Ġteeth": 12486, + "çĶ·äºº": 12487, + "Ġtub": 12488, + "è´Ńä¹°": 12489, + "Ġtemp": 12490, + "ÑĤни": 12491, + "Ġfaces": 12492, + "Ġpup": 12493, + "Ġwrap": 12494, + "Ġinfr": 12495, + "ĠFre": 12496, + "avel": 12497, + "wait": 12498, + "ĠHaw": 12499, + "Ġmoral": 12500, + "tics": 12501, + "Ġpag": 12502, + "æ½®": 12503, + "æĻ®éĢļ": 12504, + "Ġfantastic": 12505, + "dia": 12506, + "Ġdeclared": 12507, + "Ġplugin": 12508, + "Ġseeking": 12509, + "ipping": 12510, + "ctx": 12511, + "Ġdisable": 12512, + "ĠWay": 12513, + "dk": 12514, + "Ġmarkets": 12515, + "zed": 12516, + "Ġcro": 12517, + "åIJ´": 12518, + "angers": 12519, + "è¡ĮåĬ¨": 12520, + "Ġmuse": 12521, + "Ġprincipals": 12522, + "Ġtransformation": 12523, + "usted": 12524, + "herent": 12525, + "Ġsections": 12526, + "limits": 12527, + "Ġcollected": 12528, + "é£Łçī©": 12529, + "ĠprovÃŃncia": 12530, + "{(\\": 12531, + "creen": 12532, + "ĠбÑĬлгаÑĢÑģки": 12533, + "ructure": 12534, + "labor": 12535, + "Ġvo": 12536, + "erals": 12537, + "ĠТе": 12538, + "large": 12539, + "etic": 12540, + "ĠLin": 12541, + "Ġdeck": 12542, + "ĠRome": 12543, + "'],": 12544, + "attice": 12545, + "ÑģÑı": 12546, + "results": 12547, + "Ġscientific": 12548, + "uir": 12549, + "ĠHead": 12550, + "æ¥ļ": 12551, + "children": 12552, + "network": 12553, + "Ġpresents": 12554, + "Ġsympt": 12555, + "æĢĿæĥ³": 12556, + "以ä¸ĭ": 12557, + "ĠĠ=": 12558, + "interest": 12559, + "ĠÑģлÑĥ": 12560, + "$~": 12561, + "è§Ĩé¢ij": 12562, + "pur": 12563, + "}}_{": 12564, + "Ġdonar": 12565, + "Session": 12566, + "Ġequally": 12567, + "ĠXV": 12568, + "ĠÑģело": 12569, + "Ġedition": 12570, + "ingers": 12571, + "Ġzona": 12572, + "each": 12573, + "ĠPrim": 12574, + "oment": 12575, + "ĠWITH": 12576, + "Ġhundreds": 12577, + "Windows": 12578, + "oga": 12579, + "åĬłåħ¥": 12580, + "valu": 12581, + "Ġmomentum": 12582, + "éľĩ": 12583, + "Ġsituations": 12584, + "Install": 12585, + "çªĹ": 12586, + "ĠWhether": 12587, + "inity": 12588, + "yntax": 12589, + "Ġinspired": 12590, + "cn": 12591, + "ĠRod": 12592, + "]}": 12593, + "ÑĤÑĬ": 12594, + "attering": 12595, + "render": 12596, + "Hash": 12597, + "cas": 12598, + "enger": 12599, + "ĠNever": 12600, + "Ġnoble": 12601, + "Ġcompr": 12602, + "Ġcasino": 12603, + "Ġprotest": 12604, + "Ġcapacitor": 12605, + "Ġfib": 12606, + "ĠÐľÐµ": 12607, + "Ġcov": 12608, + "æĽ¾ç»ı": 12609, + "sit": 12610, + "çļĦæĸ°": 12611, + "grat": 12612, + "Ev": 12613, + "aved": 12614, + "å°Ĭ": 12615, + "ç«ŀäºī": 12616, + "toString": 12617, + "idenc": 12618, + "Ġcoinc": 12619, + "Ġtabla": 12620, + "*\\": 12621, + "ĠValley": 12622, + "bus": 12623, + "ifici": 12624, + "prov": 12625, + "'\\": 12626, + "arrant": 12627, + "yan": 12628, + "é¼ĵ": 12629, + "Ġmere": 12630, + "acket": 12631, + "Ġclimate": 12632, + "ĠMinister": 12633, + "profile": 12634, + "ĠSocorro": 12635, + "Params": 12636, + "igan": 12637, + "èĤ¯å®ļ": 12638, + "bug": 12639, + "ĠLive": 12640, + "Ġneces": 12641, + "Ġmale": 12642, + "åģ¿": 12643, + "Ġpit": 12644, + "æķĻåѦ": 12645, + "handle": 12646, + "irs": 12647, + "Ġwebsites": 12648, + "Ġгла": 12649, + "åºĦ": 12650, + "Ġ),": 12651, + "ois": 12652, + "Ġevaluation": 12653, + "Ġrealized": 12654, + "ĠLINEAR": 12655, + "Ġtiny": 12656, + "Ġobres": 12657, + "NG": 12658, + "ĠFrancisco": 12659, + "ĠGB": 12660, + "èµµ": 12661, + "ĠÑģÑĤава": 12662, + "Ġfacility": 12663, + "æľĹ": 12664, + "Ġdisappoint": 12665, + "ĠFather": 12666, + "Ġmodules": 12667, + "Ġhumans": 12668, + "aussian": 12669, + "Ġdre": 12670, + "Ġcompens": 12671, + "Ñĩки": 12672, + "ĠcÃłr": 12673, + "èrcit": 12674, + "tools": 12675, + "Second": 12676, + "Ġunion": 12677, + "ervation": 12678, + "ĠпÑĬÑĤ": 12679, + "Ġobservation": 12680, + "Ġserving": 12681, + "Ġmunt": 12682, + "ester": 12683, + "гани": 12684, + "Ġcreates": 12685, + "poca": 12686, + "disabled": 12687, + "åĶ±": 12688, + "Sk": 12689, + "Ġengaged": 12690, + "Expression": 12691, + "Kind": 12692, + "HS": 12693, + "ĠJean": 12694, + "Ġintegral": 12695, + "DIR": 12696, + "Ġwinning": 12697, + "Ġconsiderable": 12698, + "zing": 12699, + "Ġbuck": 12700, + "Press": 12701, + "Ġartists": 12702, + "Ġbos": 12703, + "tip": 12704, + "println": 12705, + "hover": 12706, + "tion": 12707, + "orne": 12708, + "ĠMarc": 12709, + "rea": 12710, + "åĤ¨": 12711, + "udi": 12712, + "Ġzone": 12713, + "ä¸įéĶĻ": 12714, + "necess": 12715, + "ĠLee": 12716, + "Ġcoupling": 12717, + "ĠDisc": 12718, + "漫": 12719, + "Ġseed": 12720, + "йки": 12721, + "Ġfuel": 12722, + "ĠJapan": 12723, + "亡": 12724, + "åIJĮåѦ": 12725, + "?:": 12726, + "ĠÄį": 12727, + "Ġrising": 12728, + "tera": 12729, + "±ä¹IJ": 12730, + "Ġsupplies": 12731, + "Ġcalm": 12732, + "lar": 12733, + "Ġreprodu": 12734, + "Ġcinc": 12735, + "ĠTimes": 12736, + "Ġconscious": 12737, + "Ġcourses": 12738, + "åĮºåŁŁ": 12739, + "ĉ/*": 12740, + "ĠTown": 12741, + "ĠUnit": 12742, + "uri": 12743, + "peri": 12744, + "Ġdining": 12745, + "Ġutter": 12746, + "Ġpaying": 12747, + "Ġjump": 12748, + "Ġinputs": 12749, + "Ġagency": 12750, + "Ġsegle": 12751, + "quis": 12752, + "åħĪçĶŁ": 12753, + "heart": 12754, + "Ġloud": 12755, + "Title": 12756, + "Ġyours": 12757, + "orders": 12758, + "Ġlunch": 12759, + "èģĮä¸ļ": 12760, + "agment": 12761, + "ĠWestern": 12762, + "ishop": 12763, + "Ġlistening": 12764, + "ç¨ĭ度": 12765, + "Ġimplemented": 12766, + "stein": 12767, + "ä¸Ń央": 12768, + "å°¾": 12769, + ".;": 12770, + "icular": 12771, + "Ġpreferred": 12772, + "òb": 12773, + "ancer": 12774, + "Ġbehaviour": 12775, + "ä¸Ĭå¸Ĥ": 12776, + "è¿Ļ次": 12777, + "Ġtan": 12778, + "ològ": 12779, + "Ġqueries": 12780, + "spring": 12781, + "åĬ³åĬ¨": 12782, + "application": 12783, + "Ġsymmetry": 12784, + "ĠпаÑĢ": 12785, + "Ġоколо": 12786, + "ĠSon": 12787, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 12788, + "Ġmúsica": 12789, + "Ġingredients": 12790, + "Si": 12791, + "ao": 12792, + "upon": 12793, + "ÃĢ": 12794, + "Ġfundamental": 12795, + "Ġarchivo": 12796, + "Ġfails": 12797, + "Ġavail": 12798, + "Ġincident": 12799, + "Ġreject": 12800, + "Ġdens": 12801, + "çĻĮ": 12802, + "Ġafterwards": 12803, + "Ġcovers": 12804, + "Ġprinciples": 12805, + "Ġhate": 12806, + "Ġconclusion": 12807, + "ĠRun": 12808, + "æĬ±": 12809, + "Ġcorresponds": 12810, + "åĶ¯": 12811, + "Ġparams": 12812, + "Ġmoon": 12813, + "Ġtenen": 12814, + "Ġcolle": 12815, + "åѦéĻ¢": 12816, + "Does": 12817, + "å¹¼": 12818, + "Ġ$$": 12819, + "ĠBit": 12820, + "ĠDid": 12821, + "ĠEp": 12822, + "Ġbirds": 12823, + "Ġrecorded": 12824, + "ĠBeach": 12825, + "Ġbodies": 12826, + "panel": 12827, + "inv": 12828, + "ĠJoseph": 12829, + "fall": 12830, + "Collection": 12831, + "Ġtast": 12832, + "ĠDO": 12833, + "gypt": 12834, + "Download": 12835, + "дÑĬл": 12836, + "ĠÐIJн": 12837, + "Ġconve": 12838, + "ceive": 12839, + "zo": 12840, + "Ġestimates": 12841, + "ĠFood": 12842, + "Ġassigned": 12843, + "Ġmini": 12844, + "elect": 12845, + "),\\": 12846, + "FR": 12847, + "ĠArc": 12848, + "è¡¡": 12849, + "çIJĨ解": 12850, + "ĠLink": 12851, + "ĠShould": 12852, + "Ah": 12853, + "é»ĺ": 12854, + "ĠRos": 12855, + "FE": 12856, + "exist": 12857, + "Ġprograma": 12858, + "æĸ¹æ¡Ī": 12859, + "Bi": 12860, + "Ġmaxim": 12861, + "ĠperÃŃ": 12862, + "ĠHim": 12863, + "desktop": 12864, + "Found": 12865, + "å·§": 12866, + "Ġ\\(": 12867, + "ĠLittle": 12868, + "herit": 12869, + "ismo": 12870, + "Ġwatched": 12871, + "æ¡£": 12872, + "rous": 12873, + "Ġstatements": 12874, + "Ġsuggestions": 12875, + "orney": 12876, + "ĠWomen": 12877, + "æŃ£å¼ı": 12878, + "Ġtravés": 12879, + "Ġsele": 12880, + "mysql": 12881, + "бÑĢа": 12882, + "jective": 12883, + "Ġemission": 12884, + "ĠCond": 12885, + "Ġadds": 12886, + "encing": 12887, + "important": 12888, + "Ġvot": 12889, + "ĠСи": 12890, + "Ġcual": 12891, + "è·³": 12892, + "ograp": 12893, + "comment": 12894, + "èĦĤ": 12895, + "ji": 12896, + "Ġleadership": 12897, + "take": 12898, + "Ġtears": 12899, + "ati": 12900, + "Activity": 12901, + "çļĦæŶéĹ´": 12902, + "Impl": 12903, + "Ġshouldn": 12904, + "å©Ĩ": 12905, + "Exec": 12906, + "ĠResult": 12907, + "Operation": 12908, + "Ġverify": 12909, + "Ġsync": 12910, + "Ġ¿": 12911, + "Ġpill": 12912, + "Ġcaracter": 12913, + "Ġexemple": 12914, + "Ġouter": 12915, + "Ġlegs": 12916, + "Ñĥва": 12917, + "ĠTechnology": 12918, + "Ġextensive": 12919, + "жен": 12920, + "Ġpaths": 12921, + "Ġinteract": 12922, + "ĠDistrict": 12923, + "æĪª": 12924, + "Ġmissed": 12925, + "Ġвойна": 12926, + "ĠCla": 12927, + "йн": 12928, + "FILE": 12929, + "Ġfinest": 12930, + "ĠLibrary": 12931, + "!)": 12932, + "Ġsuspect": 12933, + "Ġdetected": 12934, + "ĠСоÑĦиÑı": 12935, + "Ġможе": 12936, + ".*": 12937, + "Ġterrible": 12938, + "缮çļĦ": 12939, + "flu": 12940, + "Argument": 12941, + "åĽ¢éĺŁ": 12942, + "Ġconsequence": 12943, + "вÑĢо": 12944, + "Ġmostra": 12945, + "ĠСлед": 12946, + "archar": 12947, + "rained": 12948, + "Ġniv": 12949, + "ĠÑĥни": 12950, + "ĠEU": 12951, + "Ġoriginally": 12952, + "ĠPremi": 12953, + "Dialog": 12954, + "ĠImage": 12955, + "Ġrepeat": 12956, + "ĠPot": 12957, + "Ġbasically": 12958, + "Integer": 12959, + "ĠGeorg": 12960, + "gres": 12961, + "Ġtransist": 12962, + "Ġgraphics": 12963, + "æģ©": 12964, + "lÃŃmp": 12965, + "æĬ¢": 12966, + "Ġobra": 12967, + "ĠAnton": 12968, + "али": 12969, + "Ġrapidly": 12970, + "Ġabstract": 12971, + "对æĸ¹": 12972, + "ĠDom": 12973, + "owed": 12974, + "ĠSem": 12975, + "forms": 12976, + "Async": 12977, + "athered": 12978, + "æݨåĬ¨": 12979, + "liament": 12980, + "å²Ĺ": 12981, + "ĠException": 12982, + "Ġarbitrary": 12983, + "пиÑģ": 12984, + "lements": 12985, + "video": 12986, + "Ġnova": 12987, + "ĠLocal": 12988, + "Ġbreast": 12989, + "utter": 12990, + "Ġbedroom": 12991, + "'_": 12992, + "vals": 12993, + "bury": 12994, + "боÑĢ": 12995, + "åķĨä¸ļ": 12996, + "Ġhill": 12997, + "Vegeu": 12998, + "Although": 12999, + "Find": 13000, + "Ġcrime": 13001, + "Ġnumerical": 13002, + "ĠPython": 13003, + "ĠRight": 13004, + "refox": 13005, + "Ġdirected": 13006, + "brace": 13007, + "Del": 13008, + "Ang": 13009, + "ĠMB": 13010, + "Ġobjective": 13011, + "Ġdirections": 13012, + "IVE": 13013, + "å®ĥçļĦ": 13014, + "erry": 13015, + "Ġmolts": 13016, + "ribed": 13017, + "Ġpresc": 13018, + "Ġentity": 13019, + "Ġcinema": 13020, + "Ġaddresses": 13021, + "Ġtod": 13022, + "Ġremem": 13023, + "Ġstatistics": 13024, + "Ġdescribes": 13025, + "Ġdict": 13026, + "%.": 13027, + "ĠAbout": 13028, + "Ġital": 13029, + "ĠJord": 13030, + "uits": 13031, + "Alt": 13032, + "ĠJohnson": 13033, + "iero": 13034, + "Ġbreaking": 13035, + "arser": 13036, + "ĠCOM": 13037, + "ĠNord": 13038, + "lemanya": 13039, + "ĠLeague": 13040, + "ĠRussian": 13041, + "ĠOrgan": 13042, + "ä¼ĺç§Ģ": 13043, + "æľĢè¿ij": 13044, + "Ġintegrated": 13045, + "ĠBO": 13046, + "мина": 13047, + "Ġalgorithms": 13048, + "ĠFlo": 13049, + "ĠмаÑĢ": 13050, + "ĠÐĺз": 13051, + "Ġoutdoor": 13052, + "uction": 13053, + "Ġcorrupt": 13054, + "interface": 13055, + "ĠGlobal": 13056, + "dict": 13057, + "åĢ¼å¾Ĺ": 13058, + "Ġadministration": 13059, + "ä»ĸ们çļĦ": 13060, + "Ġsatisfies": 13061, + "undial": 13062, + "SU": 13063, + "ç½ļ": 13064, + "PP": 13065, + "Ġcolon": 13066, + "ympt": 13067, + "èĤĿ": 13068, + "Did": 13069, + "Ġelectronic": 13070, + "ÑĨион": 13071, + "åĪ¶éĢł": 13072, + "Ġbranc": 13073, + "çĦ¶èĢĮ": 13074, + "ĠItalian": 13075, + "picture": 13076, + "ĠAgain": 13077, + "Ġquote": 13078, + "Ġpurchased": 13079, + "ĠMarg": 13080, + "åĬĽéĩı": 13081, + "wedge": 13082, + "Ġtrading": 13083, + "onical": 13084, + "书记": 13085, + "ĠNY": 13086, + "åį«çĶŁ": 13087, + "åĽ¾çīĩ": 13088, + "ĠIre": 13089, + "ĠFou": 13090, + "ĠMajor": 13091, + "fields": 13092, + "Ġdelicious": 13093, + "Ġsuffer": 13094, + "bad": 13095, + "orted": 13096, + "Ġchose": 13097, + "Ġfunding": 13098, + "èª": 13099, + "лов": 13100, + "since": 13101, + "Ġinequ": 13102, + "Ġcurious": 13103, + "types": 13104, + "Reader": 13105, + "Ġcausing": 13106, + "grid": 13107, + "Ġadvoc": 13108, + "Ġsubmit": 13109, + "ÑĦе": 13110, + "Ġshoes": 13111, + "çĤĴ": 13112, + "Ġcoordinates": 13113, + "ĠLead": 13114, + "chain": 13115, + "ĠCopy": 13116, + "ä¿ĥè¿Ľ": 13117, + "Ġhistorical": 13118, + "hs": 13119, + "Even": 13120, + "ĠFar": 13121, + "ĠLie": 13122, + "è£ģ": 13123, + "æ³°": 13124, + "agr": 13125, + "Like": 13126, + "COLOR": 13127, + "aser": 13128, + "Ġuniversal": 13129, + "Ġrobust": 13130, + "ulf": 13131, + "Ġcutting": 13132, + "loom": 13133, + "Ġpassage": 13134, + "Ġcaptain": 13135, + "å¹´æĿ¥": 13136, + "åĬŀæ³ķ": 13137, + "Schema": 13138, + "æĪIJéķ¿": 13139, + "ĠMO": 13140, + "Ġsilent": 13141, + "igs": 13142, + "Ġsensitive": 13143, + "bigg": 13144, + "framework": 13145, + "Ġwet": 13146, + "ĠBad": 13147, + "ĠJoe": 13148, + "ĠToday": 13149, + "driver": 13150, + "Ġpermanent": 13151, + "Ġasc": 13152, + "esty": 13153, + "Ġinvalid": 13154, + "VM": 13155, + "acher": 13156, + "åĪ¸": 13157, + "Ġinfinite": 13158, + "Ġrequested": 13159, + "çļĦäºĭæĥħ": 13160, + "Ġreplacement": 13161, + "Ġcandidates": 13162, + "Ġdefect": 13163, + "ĠBoston": 13164, + "ĠMySQL": 13165, + "ç¯ĩ": 13166, + "ĠSelect": 13167, + "ilation": 13168, + "çĶľ": 13169, + "ĠSat": 13170, + "ĠÐĶо": 13171, + "æĦıè¯Ĩ": 13172, + "ĠHotel": 13173, + "éĿ¢ç§¯": 13174, + "å·¥ä¸ļ": 13175, + "Ġalleg": 13176, + "社åĮº": 13177, + "Parameters": 13178, + "Ġdestac": 13179, + "ĠJocs": 13180, + "Ġespècie": 13181, + "Ġconcerning": 13182, + "ĠIll": 13183, + "çĦ¦": 13184, + "åĪ·": 13185, + "Ġuniversity": 13186, + "Ġspatial": 13187, + "åīĤ": 13188, + "Ġfutbol": 13189, + "ĠUpdate": 13190, + "Ġattach": 13191, + "Pan": 13192, + "Ġmodify": 13193, + "æĶ¯ä»ĺ": 13194, + "born": 13195, + "ä¼Ł": 13196, + "whe": 13197, + "DL": 13198, + "ĠIC": 13199, + "è°·": 13200, + "Ġmoder": 13201, + "Ġcontributions": 13202, + "Ġidi": 13203, + "ualment": 13204, + "Ġbgcolor": 13205, + "Ġstreets": 13206, + "Ġath": 13207, + "Ġmistake": 13208, + "Ġconducted": 13209, + "Ġfrances": 13210, + "|$": 13211, + "emed": 13212, + "Ġthrown": 13213, + "Ġdump": 13214, + "har": 13215, + "вÑĬÑĢÑĪ": 13216, + "Ġinches": 13217, + "Ġempresa": 13218, + "vin": 13219, + "Ġflu": 13220, + "Ġattacks": 13221, + "ç¡®å®ļ": 13222, + "Ġprecise": 13223, + "Ġmorir": 13224, + "æģĭ": 13225, + "ollary": 13226, + "PECT": 13227, + "Handle": 13228, + "Ġsignature": 13229, + "Ġages": 13230, + "Ġsimulations": 13231, + "plugins": 13232, + "}&": 13233, + "elve": 13234, + "Ġдей": 13235, + "cam": 13236, + "满足": 13237, + "mediate": 13238, + "ĠStore": 13239, + "Ġestar": 13240, + "Ġchapter": 13241, + "ĠSn": 13242, + "Ġinformed": 13243, + "ĠSP": 13244, + "Ġrelief": 13245, + "çĽIJ": 13246, + "áĥ": 13247, + "Ġara": 13248, + "anna": 13249, + "ĠMedic": 13250, + "Ġannounce": 13251, + "Ġalter": 13252, + "ĠSearch": 13253, + "女æĢ§": 13254, + "Ġenvironmental": 13255, + "Ġcontrolled": 13256, + "Ġdebug": 13257, + "Ġspecify": 13258, + "Ġfees": 13259, + "oster": 13260, + "Ġawait": 13261, + "acious": 13262, + "Ġvegada": 13263, + "æŦ": 13264, + "ĠIO": 13265, + "clam": 13266, + "оÑĤ": 13267, + "oving": 13268, + "ĠNav": 13269, + "double": 13270, + "*(": 13271, + "uous": 13272, + "nex": 13273, + "acking": 13274, + "Ġenthus": 13275, + "主ä¹ī": 13276, + "anche": 13277, + "åħħåĪĨ": 13278, + "Ġwhis": 13279, + "Ġsurrounding": 13280, + "DM": 13281, + "Ġrenew": 13282, + "Ġkiss": 13283, + "Ġpulled": 13284, + "Ġmounted": 13285, + "Ġalive": 13286, + "abeth": 13287, + "redit": 13288, + "plus": 13289, + "elcome": 13290, + "rolling": 13291, + "èħ¾": 13292, + "ĠVill": 13293, + "CHAR": 13294, + "Ġliquid": 13295, + "Ġcomun": 13296, + "é«ĺçļĦ": 13297, + "igate": 13298, + "Ins": 13299, + "Parent": 13300, + "looking": 13301, + "â": 13302, + "Ġunus": 13303, + "Ġobt": 13304, + "Ġshipping": 13305, + ".:": 13306, + "domain": 13307, + "ĠHy": 13308, + "ä¼ļæľī": 13309, + "Ġincorrect": 13310, + "little": 13311, + "ĠĠĠĠ|": 13312, + "Ġfighting": 13313, + "åŁºéĩij": 13314, + "lad": 13315, + "_{{\\": 13316, + "leton": 13317, + "ĠOk": 13318, + "ĠYoung": 13319, + "fix": 13320, + "Ġlista": 13321, + "Ġreverse": 13322, + "lower": 13323, + "dig": 13324, + "ĠiOS": 13325, + "ĠAssert": 13326, + "ä½ĵç³»": 13327, + "itza": 13328, + "brid": 13329, + "èĤł": 13330, + "Ġissued": 13331, + "Ġchoosing": 13332, + "pkg": 13333, + "ti": 13334, + "disk": 13335, + "Ġsaving": 13336, + "Ġriv": 13337, + "trl": 13338, + "Ġsemi": 13339, + "because": 13340, + "Ġvit": 13341, + "Ġsoil": 13342, + "\"@": 13343, + "astructure": 13344, + "Ġscreens": 13345, + "å¾Ģå¾Ģ": 13346, + "oli": 13347, + "oves": 13348, + "Ġdecom": 13349, + "Ġdefe": 13350, + "å¥ĭ": 13351, + "aneous": 13352, + "Ġadults": 13353, + "Ġgaz": 13354, + "Ġburst": 13355, + "说æĺİ": 13356, + "ĠÑĨен": 13357, + "Ġgentleman": 13358, + "è¯ģæĺİ": 13359, + "izon": 13360, + "åĪ¶åº¦": 13361, + "мÑĬ": 13362, + "ĠбÑĬ": 13363, + "ĠSpring": 13364, + "Posted": 13365, + "Ġstronger": 13366, + "ĠIndex": 13367, + "ĠÐĽÐ¸": 13368, + "Ġrecognize": 13369, + "Ġ»": 13370, + "plot": 13371, + "ĠÐļи": 13372, + "лиÑīе": 13373, + "æĢ»æĺ¯": 13374, + "ĠCart": 13375, + "Ġcontrols": 13376, + "Ġchart": 13377, + "ĠÑĤи": 13378, + "ç¥ĸ": 13379, + "ĠÐľÐ¾": 13380, + "ricte": 13381, + "åĪĽä¸ļ": 13382, + "ulating": 13383, + "itudes": 13384, + "éĻįä½İ": 13385, + "Ġabsence": 13386, + "Ġhint": 13387, + "regular": 13388, + "У": 13389, + "ĠCross": 13390, + "ialize": 13391, + "Ġwww": 13392, + "Ġelection": 13393, + "Ġtalked": 13394, + "Ġinvolve": 13395, + "Ġcul": 13396, + "ι": 13397, + "Ġangles": 13398, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 13399, + "Ġmasses": 13400, + "Dir": 13401, + "Ġfinds": 13402, + "CREATE": 13403, + "remark": 13404, + "ĠGra": 13405, + "}}(\\": 13406, + "æ¹¾": 13407, + "gre": 13408, + "ĠEnc": 13409, + "Ġimpl": 13410, + "деÑĤо": 13411, + "Ġmob": 13412, + "bec": 13413, + "åĩłä¸ª": 13414, + "Ġinteractions": 13415, + "Exp": 13416, + "nn": 13417, + "Ġsubjects": 13418, + "igible": 13419, + "Ġvisited": 13420, + "ĠCR": 13421, + "################": 13422, + "Miss": 13423, + "ĠPerhaps": 13424, + "Vari": 13425, + "æĬ½": 13426, + "Stack": 13427, + "éģ¿åħį": 13428, + ";-": 13429, + "Ġtired": 13430, + "ĠAuthor": 13431, + "Ãłl": 13432, + "aining": 13433, + "ç»ĵæĿŁ": 13434, + "é£Łåĵģ": 13435, + "ĠLatin": 13436, + "ĠHuman": 13437, + "æĪĺçķ¥": 13438, + "Ġvig": 13439, + "?)": 13440, + "paper": 13441, + "гаÑĤ": 13442, + "wl": 13443, + "Ġmoves": 13444, + "\"../../../../../../": 13445, + "ned": 13446, + "SM": 13447, + "å½»": 13448, + "jquery": 13449, + "ĠJones": 13450, + "Display": 13451, + "Ġinact": 13452, + "ĠFair": 13453, + "axis": 13454, + "fficients": 13455, + "Ġshadow": 13456, + "Ġgrade": 13457, + "ç»ıåİĨ": 13458, + "交æµģ": 13459, + "ummy": 13460, + "Ġconegut": 13461, + "Ġdivided": 13462, + "Ġwise": 13463, + "大å¤ļ": 13464, + "Ġencourage": 13465, + "equals": 13466, + "Ġrefers": 13467, + "month": 13468, + "Ġessentially": 13469, + "ĠHon": 13470, + "ĠÑĢазли": 13471, + "ĠStat": 13472, + "森": 13473, + ":/": 13474, + "ĠConnect": 13475, + "Ġdraft": 13476, + "ä¸ĢåĪĩ": 13477, + "Ġperm": 13478, + "ĠPrince": 13479, + "Ãłtica": 13480, + "father": 13481, + "Ġsupporting": 13482, + "Ġgoogle": 13483, + "Record": 13484, + "Ġspoken": 13485, + "Ġdefend": 13486, + "ĠпÑĢеди": 13487, + "è§ĦåĪĴ": 13488, + "Ġconsumer": 13489, + "manager": 13490, + "éĴĪ对": 13491, + "Flo": 13492, + "}%": 13493, + "ĠItaly": 13494, + "åĩ¡": 13495, + "jor": 13496, + "ени": 13497, + "ÑģÑĤоÑı": 13498, + "èixer": 13499, + "ĠоблаÑģÑĤ": 13500, + "å¿«éĢŁ": 13501, + "asm": 13502, + "Ġcorrelation": 13503, + "èĩªåĬ¨": 13504, + "èĪ¹": 13505, + "Ġsake": 13506, + "rg": 13507, + "Ġappend": 13508, + "Ġadopted": 13509, + "Ġsoldiers": 13510, + "Ġconstructed": 13511, + "ospit": 13512, + "Ġsuport": 13513, + "Ġtensor": 13514, + "¹ģ": 13515, + "ughed": 13516, + "comput": 13517, + "###": 13518, + "éŁ³ä¹IJ": 13519, + "Ġcommission": 13520, + "Dom": 13521, + "åĨľæĿij": 13522, + "Ġangl": 13523, + "Ġobviously": 13524, + "åĩī": 13525, + "dates": 13526, + "Ġtrig": 13527, + "Ġbis": 13528, + "EY": 13529, + "Ġeverywhere": 13530, + "Ġspan": 13531, + "EXT": 13532, + "awn": 13533, + "ĠAmericans": 13534, + "ĠAquesta": 13535, + "Ġacademic": 13536, + "çļĦåľ°æĸ¹": 13537, + "fn": 13538, + "Ġsomehow": 13539, + "Ġecon": 13540, + "Ġthermal": 13541, + "omatic": 13542, + "Ġatmosphere": 13543, + "Ġsexual": 13544, + "prob": 13545, + "ĠOffic": 13546, + "IND": 13547, + "ownt": 13548, + "Ġcomplement": 13549, + "Results": 13550, + "Ġprofit": 13551, + "欲": 13552, + "ĠĠĠ<": 13553, + "\\!\\!": 13554, + "Ġfalling": 13555, + "äºĨä¸Ģ个": 13556, + "xford": 13557, + "Ġinstruct": 13558, + "Ġlect": 13559, + "ÑĤÑĢи": 13560, + "enny": 13561, + "Ġnamespace": 13562, + "toggle": 13563, + "Ġfinger": 13564, + "Ġreferences": 13565, + "èĭ±éĽĦ": 13566, + "Ġdates": 13567, + "Ġforever": 13568, + "Ġdomestic": 13569, + "Ġbathroom": 13570, + "ĠFA": 13571, + "ема": 13572, + "Ġade": 13573, + "ïsos": 13574, + "TL": 13575, + "å¿Ĩ": 13576, + "ivament": 13577, + "Ġcodes": 13578, + "ĠоÑģÑĤа": 13579, + "Definition": 13580, + "Ġpuede": 13581, + "iams": 13582, + "ĉ@": 13583, + "ĠParty": 13584, + "èµŀ": 13585, + "Ġcarrying": 13586, + "Ġnewly": 13587, + "ĠParÃŃs": 13588, + "çĴ": 13589, + "Ġregularly": 13590, + "Ġconfirmed": 13591, + "Ġrevealed": 13592, + "move": 13593, + "åĦ¿åŃIJ": 13594, + "Icon": 13595, + "æ¯ķä¸ļ": 13596, + "Ġstruggle": 13597, + "Ġjur": 13598, + "category": 13599, + "ĠÐijа": 13600, + "Ġtoler": 13601, + "Ġsummary": 13602, + "Ġmysql": 13603, + "ĠLE": 13604, + "ĠÑģемей": 13605, + "ifer": 13606, + "Ġsearc": 13607, + "Ġchecking": 13608, + "done": 13609, + "Ġalloc": 13610, + "ÑıÑĤа": 13611, + "ÏĦ": 13612, + "margin": 13613, + "Ġcorporate": 13614, + "Ġnewsp": 13615, + "Ġpresentation": 13616, + "Ġfolks": 13617, + "ĠIndust": 13618, + "Ġstir": 13619, + "Ġwidely": 13620, + "ĠBG": 13621, + "Ġintegration": 13622, + "esides": 13623, + "ipt": 13624, + "ĠÑģÑĢед": 13625, + "人çĶŁ": 13626, + "Ġreson": 13627, + "Ġlying": 13628, + "ä¸į好": 13629, + "Ġspectral": 13630, + "Ġvertices": 13631, + "aters": 13632, + "Ġpublish": 13633, + "blog": 13634, + "Ġapproved": 13635, + "ĠAfrican": 13636, + "Ġreads": 13637, + "Ġdeals": 13638, + "ynamic": 13639, + "raries": 13640, + "Ġcomplicated": 13641, + "Helper": 13642, + "earing": 13643, + "Ġassuming": 13644, + "oner": 13645, + "Ġoccas": 13646, + "Her": 13647, + "adora": 13648, + "éĩĮéĿ¢": 13649, + "Ġdependent": 13650, + "Ġpermissions": 13651, + "Ġbene": 13652, + "ĠIde": 13653, + "å½ĵåľ°": 13654, + "Ġrear": 13655, + "sda": 13656, + "Ġinequality": 13657, + "Ġladies": 13658, + "Ġoptimization": 13659, + "Ġslot": 13660, + "ÑĢак": 13661, + "Ġtopics": 13662, + "RES": 13663, + "æł¹æľ¬": 13664, + "Ġgalaxies": 13665, + "Ġloves": 13666, + "rices": 13667, + "Ġcomputed": 13668, + "umnes": 13669, + ".).": 13670, + "Esc": 13671, + "Ġduration": 13672, + "ä¼Ĭ": 13673, + "ĠÑĿ": 13674, + "Ġprinted": 13675, + "Ġacting": 13676, + "also": 13677, + "ĠProposition": 13678, + "Ġsimult": 13679, + "Ġunsigned": 13680, + "Ġestan": 13681, + "Ġaugment": 13682, + "oped": 13683, + "ĠHom": 13684, + "ĠOption": 13685, + "ĠCL": 13686, + "ĠBoot": 13687, + "ĠWin": 13688, + "sen": 13689, + "Ġswit": 13690, + "妹": 13691, + "Ġpromote": 13692, + "pite": 13693, + "ĠSus": 13694, + "About": 13695, + "Ġalarm": 13696, + "Ġperforming": 13697, + "æ²Ł": 13698, + "Ġstability": 13699, + "ĠGreek": 13700, + "å¡Ķ": 13701, + "ä»»åĬ¡": 13702, + "Ġjew": 13703, + "вод": 13704, + "Ġsuppl": 13705, + "æĦıä¹ī": 13706, + "Ġpocket": 13707, + "){\\": 13708, + "ç¹ģ": 13709, + "ĠNon": 13710, + "Ġcoal": 13711, + "åĪij": 13712, + "textsc": 13713, + "enció": 13714, + "ĠLy": 13715, + "ĠFitxa": 13716, + "Ġtreballar": 13717, + "Doc": 13718, + "Decl": 13719, + "æĮĩ导": 13720, + "ĠJOIN": 13721, + "æļĹ": 13722, + "Ġofficials": 13723, + "æĬ¥åijĬ": 13724, + "ĠWH": 13725, + "ÑĤаÑĤа": 13726, + "orous": 13727, + "åıijåĬ¨": 13728, + "Ġcord": 13729, + "åijĺå·¥": 13730, + "ĠJeff": 13731, + "aylor": 13732, + "Ġvisiting": 13733, + "Ġresolved": 13734, + "Ġunderlying": 13735, + "Ġowned": 13736, + "Ġii": 13737, + "诺": 13738, + "è´¦": 13739, + "ĠSav": 13740, + "ä¸Ģå¹´": 13741, + "amely": 13742, + "radius": 13743, + "æ¯ı个": 13744, + "ĠBat": 13745, + "æݪæĸ½": 13746, + "åĩłä¹İ": 13747, + "Ġbanks": 13748, + "uy": 13749, + "ĠÐĿо": 13750, + "Ġnurs": 13751, + "ĠCurrent": 13752, + "ogene": 13753, + "aine": 13754, + "aul": 13755, + "Ġservers": 13756, + "ĠOrig": 13757, + "æľĢ好": 13758, + "SY": 13759, + "ĠJapanese": 13760, + "Ġsevere": 13761, + "yard": 13762, + "Ġconnecting": 13763, + "byte": 13764, + "Ġaccessible": 13765, + "save": 13766, + "ĠRAM": 13767, + "èrica": 13768, + "Ġdefense": 13769, + "onda": 13770, + "Ġble": 13771, + "Ġlowest": 13772, + ")))": 13773, + "Ġnic": 13774, + "LY": 13775, + "Ġmás": 13776, + "ä¹Łåı¯ä»¥": 13777, + "Ġni": 13778, + "general": 13779, + "жки": 13780, + "ĠSH": 13781, + "ĠSometimes": 13782, + "Ġdol": 13783, + "ARD": 13784, + "Ġlli": 13785, + "connected": 13786, + "idi": 13787, + "Ġusb": 13788, + "Ġyields": 13789, + "ĠRog": 13790, + "认è¯Ĩ": 13791, + "æĺİç¡®": 13792, + "ĠPere": 13793, + "å¢Ļ": 13794, + "Ġcostat": 13795, + "icket": 13796, + "]]": 13797, + "Ġparelles": 13798, + "Ġapplicable": 13799, + "ĠкÑĢай": 13800, + "omorphism": 13801, + "Storage": 13802, + "æĪIJç«ĭ": 13803, + "Ġtough": 13804, + "acles": 13805, + "Cloud": 13806, + "ĠEND": 13807, + "åľ£": 13808, + "Connect": 13809, + "微信": 13810, + "Because": 13811, + "Ġcooper": 13812, + "Ġpant": 13813, + "ucl": 13814, + "say": 13815, + "ĠвÑĬÑĢ": 13816, + "ĠÑĤÑĢи": 13817, + "Ġevaluate": 13818, + "èĢIJ": 13819, + "è´¸": 13820, + "closed": 13821, + "Ġshares": 13822, + "obr": 13823, + "ĠIndeed": 13824, + "Ġtrail": 13825, + "Ġимпе": 13826, + "Ġplanta": 13827, + "计ç®Ĺ": 13828, + "eties": 13829, + "icio": 13830, + "Network": 13831, + "present": 13832, + "æµĵ": 13833, + "Ġpounds": 13834, + "amil": 13835, + "Ġcurves": 13836, + "!'": 13837, + "Ġindicated": 13838, + "TV": 13839, + "ĠCommand": 13840, + "пÑĢав": 13841, + "Free": 13842, + "develop": 13843, + "зиÑĢа": 13844, + "hal": 13845, + "Ġlabels": 13846, + "ulty": 13847, + "å¼ĢæĶ¾": 13848, + "False": 13849, + "cert": 13850, + "å½¢å¼ı": 13851, + "èĤº": 13852, + "ĠÐĶж": 13853, + "èĥİ": 13854, + "ÑĩаÑģÑĤи": 13855, + "ĠSC": 13856, + "[-": 13857, + "asa": 13858, + "Ġarts": 13859, + "asse": 13860, + "ÅĻÃŃ": 13861, + "ĠÑģÑĬзда": 13862, + "Ġpatch": 13863, + "HECK": 13864, + "protect": 13865, + "ĠPA": 13866, + "Ġlanguages": 13867, + "ÑĥÑĤбо": 13868, + "ripció": 13869, + "forall": 13870, + "Ġdifferential": 13871, + "Layer": 13872, + "åIJĽ": 13873, + "bullet": 13874, + "ä¸ĭéĻį": 13875, + "Ġacid": 13876, + "ĠVirginia": 13877, + "Ġdefens": 13878, + "sto": 13879, + "èĴĻ": 13880, + "Ġexcit": 13881, + "éĹŃ": 13882, + "lectual": 13883, + "Ġwearing": 13884, + "Ġsyn": 13885, + "onia": 13886, + "Ġfactory": 13887, + "ĠÑħо": 13888, + "çݩ家": 13889, + "ĠÐĿе": 13890, + "Great": 13891, + "&#": 13892, + "åĪĨ享": 13893, + "人æīį": 13894, + "Ġclassification": 13895, + "Ãłries": 13896, + "Ġguid": 13897, + "Ġtranslation": 13898, + "Ġbulk": 13899, + "Ġpriority": 13900, + "Hol": 13901, + "Ġcomprehensive": 13902, + "çĵľ": 13903, + "UNT": 13904, + "ν": 13905, + "Ġsegona": 13906, + "Ġrequirement": 13907, + "Ġbeside": 13908, + "èIJ¥åħ»": 13909, + "гаÑĤо": 13910, + "cmd": 13911, + "ĠThrough": 13912, + "subsubsection": 13913, + "å®ŀåĬĽ": 13914, + "ĠEgypt": 13915, + "getElement": 13916, + "ĠInn": 13917, + "itivity": 13918, + "ÑĥÑĢа": 13919, + "Ġpride": 13920, + "ĠRepública": 13921, + "ĠUna": 13922, + "Ġsoles": 13923, + "Ġconvertir": 13924, + "èģĶåIJĪ": 13925, + "Ġspiritual": 13926, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 13927, + "éĩįè¦ģçļĦ": 13928, + "Ġthirty": 13929, + "çĩĥ": 13930, + "ĠBul": 13931, + "æ´¥": 13932, + "è¾ħ": 13933, + "èĦī": 13934, + "Ġprecisely": 13935, + "Ġprivacy": 13936, + "ä¸Ģ天": 13937, + "plicity": 13938, + "stra": 13939, + "chant": 13940, + "entials": 13941, + "Full": 13942, + "ĠдÑĢÑĥги": 13943, + "Ġoperate": 13944, + "Ġmagic": 13945, + "ĠRussia": 13946, + "lot": 13947, + "ĠJos": 13948, + "pot": 13949, + "åĩŃ": 13950, + "ierarch": 13951, + "Ġ||ĠĠ|": 13952, + "ulator": 13953, + "Ġcomplexity": 13954, + "Ġbrit": 13955, + "General": 13956, + "Ġlosing": 13957, + "tor": 13958, + "Ġcow": 13959, + "å¿ĥçļĦ": 13960, + "Ġremoving": 13961, + "èµĦ产": 13962, + "Ġengineering": 13963, + "Ġemergency": 13964, + "绪": 13965, + "ĠLow": 13966, + "Ġmile": 13967, + "æķı": 13968, + "Ġgest": 13969, + "ĠTele": 13970, + "Ġcarbon": 13971, + "Ġbounds": 13972, + "sat": 13973, + "ĠTurn": 13974, + "Ãłg": 13975, + "ква": 13976, + "Ġtransmission": 13977, + "ĠAlt": 13978, + "ä¹³": 13979, + "åijĪ": 13980, + "Ġsubs": 13981, + "Ġsufficiently": 13982, + "bd": 13983, + "Ġchap": 13984, + "rient": 13985, + "æ¢ħ": 13986, + "åĪĢ": 13987, + "essages": 13988, + "Ġmock": 13989, + "Ġdiscipl": 13990, + "pton": 13991, + "Ġsurely": 13992, + "Ġidentical": 13993, + "åĽłç´ł": 13994, + "Ġbé": 13995, + "Ġtap": 13996, + "xit": 13997, + "Ġdistributions": 13998, + "æĺ¯ä¸Ģç§į": 13999, + "éĢŁåº¦": 14000, + "ogen": 14001, + "æł·çļĦ": 14002, + "Ġinvestigation": 14003, + "Ġlaunched": 14004, + "colon": 14005, + "ĠRose": 14006, + "High": 14007, + "vs": 14008, + "Ġvictory": 14009, + ".),": 14010, + "apos": 14011, + "rod": 14012, + "Ġ{};": 14013, + "è¿ħ": 14014, + "numer": 14015, + "Ġcharacteristics": 14016, + "кедо": 14017, + "Feature": 14018, + "Bas": 14019, + "these": 14020, + "åį³ä½¿": 14021, + "Ġignore": 14022, + "ĠBible": 14023, + "æĶ¿æ²»": 14024, + "Ptr": 14025, + "Ġrating": 14026, + "æ½ľ": 14027, + "дÑĢи": 14028, + "Ġdealing": 14029, + "bn": 14030, + "ching": 14031, + "ĠHope": 14032, + "èħ°": 14033, + "Ġrevenue": 14034, + "Ġpump": 14035, + "Ġsessions": 14036, + "NC": 14037, + "èįIJ": 14038, + "ĠLtd": 14039, + "pered": 14040, + "ÑĤан": 14041, + "éĺ»": 14042, + "Ġanticip": 14043, + "ĠLi": 14044, + "Ġcalculation": 14045, + "Ġyounger": 14046, + "(:": 14047, + "ĠEsc": 14048, + "Ġparking": 14049, + "ĠVirtual": 14050, + "connection": 14051, + "Ġutility": 14052, + "ÑĤоÑĢи": 14053, + "ĠINTO": 14054, + "èİ«": 14055, + "Ġживо": 14056, + "ä¸į管": 14057, + "ĠÐłÐµ": 14058, + "anny": 14059, + "LOG": 14060, + "ĠBell": 14061, + "Ġexclaimed": 14062, + "ĠmitjÃł": 14063, + "obra": 14064, + "bash": 14065, + "ĠдÑĬ": 14066, + "_{-": 14067, + "èµ¢": 14068, + "Ġswitching": 14069, + "clusions": 14070, + "onymous": 14071, + "hu": 14072, + "DI": 14073, + "ĠполиÑĤи": 14074, + "ĠSource": 14075, + "Ġvice": 14076, + "Pal": 14077, + "Ġlaughed": 14078, + "days": 14079, + "çijŀ": 14080, + "Ġhappiness": 14081, + "ĠТа": 14082, + "rogen": 14083, + "ĠMarket": 14084, + "Ġnuclear": 14085, + "formed": 14086, + "Body": 14087, + "丹": 14088, + "Ġmarks": 14089, + "Ġoptical": 14090, + "Ñĭ": 14091, + "FROM": 14092, + "éªĹ": 14093, + "Ġconversion": 14094, + "æĬµ": 14095, + "ĠPHP": 14096, + "izabeth": 14097, + "ione": 14098, + "诸": 14099, + "Ġemployee": 14100, + "Ġpulse": 14101, + "доб": 14102, + "riure": 14103, + "Ġhell": 14104, + "Ġunto": 14105, + "newcommand": 14106, + "ĠWeek": 14107, + "Database": 14108, + "ĠÑĢи": 14109, + "hips": 14110, + "Ġcel": 14111, + "Draw": 14112, + "Ġtickets": 14113, + "ĠStill": 14114, + "Orig": 14115, + "Christ": 14116, + "deven": 14117, + "Vector": 14118, + "åıijæĮ¥": 14119, + "edly": 14120, + "ifiers": 14121, + "Ġsegon": 14122, + "Ġsuffering": 14123, + "phant": 14124, + "ĠNight": 14125, + "Ġyards": 14126, + "Ġrib": 14127, + "Ġfacing": 14128, + "orable": 14129, + "Ġamer": 14130, + "Ġfur": 14131, + "åĦ¿ç«¥": 14132, + "Ġdot": 14133, + "Ġsymptoms": 14134, + "Ġkick": 14135, + "Args": 14136, + "Ġsolved": 14137, + "Ġoptional": 14138, + "Di": 14139, + "ĠAh": 14140, + "Ġopens": 14141, + "rick": 14142, + "padding": 14143, + "xiety": 14144, + "è¿ĺè¦ģ": 14145, + "ĠBand": 14146, + "Ġdivision": 14147, + "Ġpins": 14148, + "mente": 14149, + "atern": 14150, + "ä¿Ĺ": 14151, + "Ġ}\\": 14152, + "KEY": 14153, + "Ġreturning": 14154, + "Ġprobable": 14155, + "Ġfits": 14156, + "Ġarrive": 14157, + "Ġactor": 14158, + "æ®ĭ": 14159, + "Ġscalar": 14160, + "ÑĩиÑĤел": 14161, + "ĠFel": 14162, + "items": 14163, + "Ġexha": 14164, + "ĠRen": 14165, + "Ġthro": 14166, + "ĠЯ": 14167, + "ĠBlu": 14168, + "主é¢ĺ": 14169, + "super": 14170, + "Ġanterior": 14171, + "Ġcheese": 14172, + "çĽ¸å¯¹": 14173, + "Pobl": 14174, + "веÑĢÑģиÑĤе": 14175, + "Ġanymore": 14176, + "ĠALL": 14177, + "Ġcub": 14178, + "Ġcharacteristic": 14179, + "virtual": 14180, + "Ġcatalog": 14181, + "ä¸Ģä½į": 14182, + "ordinary": 14183, + "erk": 14184, + "argo": 14185, + "èħ¹": 14186, + "Ġsought": 14187, + "ĠSab": 14188, + "ĠAccount": 14189, + "Ġcounty": 14190, + "Ġspeakers": 14191, + "符åIJĪ": 14192, + "åıĺå¾Ĺ": 14193, + "Ġshower": 14194, + "Ġcrew": 14195, + "Ġcake": 14196, + "èĨľ": 14197, + "Template": 14198, + "Ġwallet": 14199, + "ĠнаÑĩа": 14200, + "aka": 14201, + "Ġapplies": 14202, + "Ġeager": 14203, + "ĠAngeles": 14204, + "æijĨ": 14205, + "Ġimpression": 14206, + "ĠAdministr": 14207, + "Iter": 14208, + "æī«": 14209, + "Ġdebut": 14210, + "Ġappreciated": 14211, + "ĠкÑĬдеÑĤо": 14212, + "çģ¾": 14213, + "Ġcontribute": 14214, + "Ġbeneath": 14215, + "Values": 14216, + "Ġconflict": 14217, + "'];": 14218, + "ultural": 14219, + "Ġtroops": 14220, + "Total": 14221, + "Widget": 14222, + "Ġchecks": 14223, + "Ġrebre": 14224, + "æľĢ大çļĦ": 14225, + "çī¹èī²": 14226, + "Ġtechnologies": 14227, + "ĠBa": 14228, + "acció": 14229, + "chor": 14230, + "Ġuniverse": 14231, + "Ġintroduction": 14232, + "Active": 14233, + "bow": 14234, + "Ġconclude": 14235, + "ĠContact": 14236, + "Ġinduced": 14237, + "Ġinline": 14238, + "inction": 14239, + "Ðijи": 14240, + "Ġpir": 14241, + "Ġnegot": 14242, + "Ġgeometry": 14243, + "Ġprogramming": 14244, + "åħ¬å®ī": 14245, + "åºĶå½ĵ": 14246, + "Ġappeal": 14247, + "çıł": 14248, + "Tab": 14249, + "Ġcoefficients": 14250, + "Ġadmit": 14251, + "Ġpale": 14252, + "çݰ象": 14253, + "ĠMedical": 14254, + "anz": 14255, + "Ġtrob": 14256, + "aints": 14257, + "ĠObama": 14258, + "Ġpersona": 14259, + "Ġdeleg": 14260, + "Ġappl": 14261, + "once": 14262, + "ifold": 14263, + "Ġvivint": 14264, + "Ġcrucial": 14265, + "æ¯ķç«Ł": 14266, + "åį·": 14267, + "ĠArab": 14268, + "åĨį次": 14269, + "ifferent": 14270, + "idor": 14271, + "Ġdesert": 14272, + "________________": 14273, + "èIJ½å®ŀ": 14274, + "Ġfis": 14275, + "Ġproven": 14276, + "Ġduplic": 14277, + "Ġmapping": 14278, + "fly": 14279, + "Ġprocedures": 14280, + "Delete": 14281, + "Ġmovies": 14282, + "å°±èĥ½": 14283, + "SION": 14284, + "SR": 14285, + "ĠComple": 14286, + "å¦Ĥæŀľä½ł": 14287, + "ĉcase": 14288, + "iro": 14289, + "ĠCup": 14290, + "éĹ²": 14291, + "Ġtornar": 14292, + "Ġboxes": 14293, + "ĠRay": 14294, + "åħ¬éĩĮ": 14295, + "lessly": 14296, + "Ġgray": 14297, + "ILL": 14298, + "ĠMic": 14299, + "argument": 14300, + "ogy": 14301, + "UST": 14302, + "izz": 14303, + "itzat": 14304, + "Ġfond": 14305, + "лÑıва": 14306, + "uliar": 14307, + "ÑĨаÑĤа": 14308, + "Ġrotation": 14309, + "Ġcapabilities": 14310, + "Ġseriously": 14311, + "å¿ĥçIJĨ": 14312, + "rose": 14313, + "alloc": 14314, + "åŃIJçļĦ": 14315, + "è´Ŀ": 14316, + "ĠDaniel": 14317, + "ĠAD": 14318, + "ĠÐĵе": 14319, + "æľīçĿĢ": 14320, + "æĢª": 14321, + "Ġformul": 14322, + "缸å½ĵ": 14323, + "('#": 14324, + ")}(": 14325, + "Ġhandling": 14326, + "Ġзапа": 14327, + "changed": 14328, + "Ġrestaurants": 14329, + "Ġplanned": 14330, + "decl": 14331, + "isdom": 14332, + "mother": 14333, + "must": 14334, + "continu": 14335, + "footer": 14336, + "ĠperÃŃode": 14337, + "åĪĽéĢł": 14338, + "åĺī": 14339, + "æѤå¤ĸ": 14340, + "Ġdrives": 14341, + "Ret": 14342, + "ĠMid": 14343, + "Ġviolence": 14344, + "Ġshoulder": 14345, + "Ġintention": 14346, + "Ġcooking": 14347, + "PATH": 14348, + "endor": 14349, + "Ġbias": 14350, + "unct": 14351, + "ове": 14352, + "Ġstyles": 14353, + "дена": 14354, + "sort": 14355, + "ĠKEY": 14356, + "uling": 14357, + "迹": 14358, + "æĪ´": 14359, + "floor": 14360, + "Spe": 14361, + "Eq": 14362, + "ĠWalk": 14363, + "ĠConsider": 14364, + "Footnote": 14365, + "ĠVM": 14366, + "èĻİ": 14367, + "Disc": 14368, + "did": 14369, + "éĥ½åľ¨": 14370, + "ĠJon": 14371, + "__(": 14372, + "Ġtemporary": 14373, + "material": 14374, + "odge": 14375, + "Ġsees": 14376, + "Ġperturb": 14377, + "ä¾ĿçĦ¶": 14378, + "ä¸ĬäºĨ": 14379, + "erest": 14380, + "Ġfot": 14381, + "las": 14382, + "éģĵè·¯": 14383, + "èģĬ": 14384, + "нение": 14385, + "Conf": 14386, + "Ġnod": 14387, + "Ġknock": 14388, + "èµı": 14389, + "Ġaltre": 14390, + "Ġmateixa": 14391, + "Ġprospect": 14392, + "å¿«ä¹IJ": 14393, + "Ġcer": 14394, + "Policy": 14395, + "ĠCi": 14396, + "Ġrepresenting": 14397, + "Ġchallenging": 14398, + "ĠGuide": 14399, + "ĠPed": 14400, + "ĠFurthermore": 14401, + "folio": 14402, + "Ġusuario": 14403, + "Ġcalculations": 14404, + "izable": 14405, + "IES": 14406, + "Home": 14407, + "Ġstim": 14408, + "Ġelectrical": 14409, + "ĠCook": 14410, + "Ġtong": 14411, + "letter": 14412, + "ĠLTS": 14413, + ",.": 14414, + "uma": 14415, + "agues": 14416, + "ĠVideo": 14417, + "fact": 14418, + "astern": 14419, + "Ġtum": 14420, + "éģĩåĪ°": 14421, + "ĠÐĽÑĥ": 14422, + "nel": 14423, + "ĠExper": 14424, + "ĠBow": 14425, + "èĩªèº«": 14426, + "Ġcaso": 14427, + "Ġhopes": 14428, + ")?": 14429, + "JECT": 14430, + "Ġdenotes": 14431, + "Ġorganized": 14432, + "During": 14433, + "ĠSpirit": 14434, + "çļĦåıijå±ķ": 14435, + "Ġpartit": 14436, + "æĬĢèĥ½": 14437, + "çĪ±æĥħ": 14438, + "aug": 14439, + "uen": 14440, + "uent": 14441, + "ige": 14442, + "Ġ<=": 14443, + "Ġloading": 14444, + "Ġstrings": 14445, + "åı¬": 14446, + "åŁ¹åħ»": 14447, + "æĥ³åĪ°": 14448, + "Ġpersonally": 14449, + "ucks": 14450, + "issions": 14451, + "ĠMah": 14452, + "диÑĤе": 14453, + "ä¾µ": 14454, + "Whe": 14455, + "æĻĵ": 14456, + "å§ĵ": 14457, + "ĠIreland": 14458, + "observ": 14459, + "ajax": 14460, + "eding": 14461, + ")).": 14462, + "ĠMachine": 14463, + "uum": 14464, + "mc": 14465, + "yy": 14466, + "ĠDefault": 14467, + "Ġpour": 14468, + "çĥ¦": 14469, + "é¡¿": 14470, + "Ġdependence": 14471, + "Ġinvolves": 14472, + "Google": 14473, + "Rest": 14474, + "ongo": 14475, + "irms": 14476, + "æī£": 14477, + "ä¸įåIJĮçļĦ": 14478, + "Ġms": 14479, + "aneously": 14480, + "ĠWas": 14481, + "меÑĢ": 14482, + "Ġtotes": 14483, + "è·µ": 14484, + "èģĺ": 14485, + "Ġcounc": 14486, + "Ġpainting": 14487, + "aje": 14488, + "Ġchicken": 14489, + "Ġresc": 14490, + "Ġobten": 14491, + "åıĮæĸ¹": 14492, + "Ġshore": 14493, + "Ġjum": 14494, + "éģŃ": 14495, + "Ġvital": 14496, + "olid": 14497, + "å®īæİĴ": 14498, + "æ¹ĸåįĹ": 14499, + "ateful": 14500, + "Ġcoat": 14501, + "Ġmillions": 14502, + "Ġlegisl": 14503, + "Ġsmoke": 14504, + "èl": 14505, + "æĸ°éĹ»": 14506, + "ĠBox": 14507, + "Pub": 14508, + "ARN": 14509, + "rical": 14510, + "ĠFederal": 14511, + "Ġadventure": 14512, + "osity": 14513, + "è¿Ķ": 14514, + "Ġgained": 14515, + "Dels": 14516, + "Ġprin": 14517, + "åݻ年": 14518, + "ipher": 14519, + "дава": 14520, + "Ġexpressions": 14521, + "Ġunexpected": 14522, + "Ġlocally": 14523, + "encia": 14524, + "æıIJåĩº": 14525, + "ea": 14526, + "æ³½": 14527, + "è¿IJèIJ¥": 14528, + "Ġcovering": 14529, + "è¾Ľ": 14530, + "ipage": 14531, + "Ġcaps": 14532, + "Ġdread": 14533, + "çľĭçľĭ": 14534, + "ènere": 14535, + "Ġnearby": 14536, + "磨": 14537, + "主任": 14538, + "Therefore": 14539, + "Ġhearts": 14540, + "ĠFi": 14541, + "æķ¬": 14542, + "Debug": 14543, + "Ġmountains": 14544, + "ĠBall": 14545, + "Ġears": 14546, + "Ġlogical": 14547, + "ĠHarry": 14548, + "å®ĭ": 14549, + "ĠкакÑĤо": 14550, + "Invalid": 14551, + "kw": 14552, + "ĠÑģо": 14553, + "alous": 14554, + "contr": 14555, + "Ġaffordable": 14556, + "èij£": 14557, + "æı´": 14558, + "too": 14559, + "Ġspons": 14560, + "Ġgrey": 14561, + "вÑĢе": 14562, + "uple": 14563, + "ĠRa": 14564, + "three": 14565, + "inar": 14566, + "Ġwarrant": 14567, + "Down": 14568, + "Ġtiene": 14569, + "said": 14570, + "Ġbottle": 14571, + "æģIJ": 14572, + "itative": 14573, + "Ġangular": 14574, + "Ġceremon": 14575, + "Ġmerg": 14576, + "çŃīçŃī": 14577, + "Ġconfigured": 14578, + "Ġphotograph": 14579, + "Ġtemperatures": 14580, + "Futbol": 14581, + "ĠSize": 14582, + "ĠOlÃŃmp": 14583, + "åįĩ级": 14584, + "Ġgolden": 14585, + "Ġcontrad": 14586, + "complete": 14587, + "Ġcorrel": 14588, + "NULL": 14589, + "Ġfest": 14590, + "BB": 14591, + "JSON": 14592, + "è¹": 14593, + "Ġestá": 14594, + "Ġни": 14595, + "Ġgrab": 14596, + "Ġbirthday": 14597, + "ÑģÑĤан": 14598, + "Ġentering": 14599, + "ĠInvest": 14600, + "%)": 14601, + "Ġflour": 14602, + "NavBar": 14603, + "Root": 14604, + "ĠFa": 14605, + "Ġpotentially": 14606, + "\\_": 14607, + "enable": 14608, + "Ġfoundation": 14609, + "Ġleaf": 14610, + "ç¡®å®ŀ": 14611, + "æĺł": 14612, + "Ġproviders": 14613, + "Ġcabin": 14614, + "Enabled": 14615, + "Ġarrival": 14616, + "ĠMP": 14617, + "Ġmajoria": 14618, + "Ġaconseguir": 14619, + "quia": 14620, + "'))": 14621, + "Ġshout": 14622, + "èIJ¨": 14623, + "é²ģ": 14624, + "Ġcriminal": 14625, + "Ġwaters": 14626, + "Ġbrilliant": 14627, + "æĿ¥äºĨ": 14628, + "ĉ$": 14629, + "inat": 14630, + "Ġconeix": 14631, + "ĠAsia": 14632, + "以åīį": 14633, + "ä¿Ħ": 14634, + "pare": 14635, + "irl": 14636, + "伦": 14637, + "èµļ": 14638, + "主åĬ¨": 14639, + "Ġtransactions": 14640, + "game": 14641, + "Ġworship": 14642, + "Ġhoping": 14643, + "Ġps": 14644, + "Ġremarkable": 14645, + "Ġhousing": 14646, + "ĠOrder": 14647, + "Ġregardless": 14648, + "Ġfru": 14649, + "quar": 14650, + "Enter": 14651, + "NR": 14652, + "Ġsel": 14653, + "Ġprediction": 14654, + "odb": 14655, + "issue": 14656, + "Demografia": 14657, + "Ġemployment": 14658, + "иÑĤеÑĢаÑĤ": 14659, + "Ġexposed": 14660, + "ĠKitt": 14661, + "ĠBed": 14662, + "Ġreserved": 14663, + "Ġassembly": 14664, + "Ġbasket": 14665, + "oda": 14666, + "Files": 14667, + ")_": 14668, + "Ġprecision": 14669, + "æ®Ĭ": 14670, + "æĸĩæĺİ": 14671, + "Ġapartment": 14672, + "Ġvariation": 14673, + "Ġexped": 14674, + "xious": 14675, + "ĠÑĥÑĩаÑģÑĤ": 14676, + "ÑĮоÑĢ": 14677, + "ĠKore": 14678, + "æĬ¥éģĵ": 14679, + "æŁĶ": 14680, + "Ġadvertising": 14681, + "Ġaggreg": 14682, + "åIJ¸å¼ķ": 14683, + "Ġbars": 14684, + "(*": 14685, + "ikip": 14686, + "Ġtraject": 14687, + "Ġcrown": 14688, + "Ġnúmero": 14689, + "Ġleather": 14690, + "Ġneighb": 14691, + "Ġbeam": 14692, + "Ġdecades": 14693, + "Ġfancy": 14694, + "Ġneutral": 14695, + "tik": 14696, + "Ġassets": 14697, + "ashes": 14698, + "getElementById": 14699, + "Ġgenu": 14700, + "ĠIl": 14701, + "Ġexecuted": 14702, + "MT": 14703, + "ĠWould": 14704, + "Bus": 14705, + "Ġguitar": 14706, + "Ġ||ĠĠ||Ġ": 14707, + "cost": 14708, + "ĠMexico": 14709, + "ĠAward": 14710, + "Ġeducational": 14711, + "Ġalcohol": 14712, + "寸": 14713, + "Ġreaction": 14714, + "ĠCivil": 14715, + "Ġserves": 14716, + "Ġtalent": 14717, + "BI": 14718, + "Sing": 14719, + "icted": 14720, + "condition": 14721, + "Prim": 14722, + "ders": 14723, + "Ġки": 14724, + "dependency": 14725, + "perp": 14726, + "ä»İèĢĮ": 14727, + "å¡ŀ": 14728, + "ĠFalse": 14729, + "tri": 14730, + "Ġconcrete": 14731, + "Support": 14732, + "uz": 14733, + "Ġsty": 14734, + "ç»ķ": 14735, + "ĠÑģм": 14736, + "ĠÐľÐ°ÑĢ": 14737, + "åģļåĪ°": 14738, + "亿亿": 14739, + "Ġregional": 14740, + "Ġwhilst": 14741, + "ÑĢал": 14742, + "ç¾Ĭ": 14743, + "Ġfunny": 14744, + "minipage": 14745, + "autiful": 14746, + "Ġexpertise": 14747, + "Ġminister": 14748, + "Ġdisp": 14749, + "çī©è´¨": 14750, + "ĠPlus": 14751, + "ificial": 14752, + "Ġcombat": 14753, + "around": 14754, + "Ġdepartament": 14755, + "веÑģÑĤ": 14756, + "Ġpassar": 14757, + "çĪ·": 14758, + "ĠKeep": 14759, + "ĠAcademy": 14760, + ")),": 14761, + "Ġconsumers": 14762, + "Ġcoc": 14763, + "Ġtracks": 14764, + "Ġhonour": 14765, + "Ġbundle": 14766, + "Ġlattice": 14767, + "Ġinstitutions": 14768, + "Ġslave": 14769, + "èıĮ": 14770, + "Ġjavax": 14771, + "âĨĴ": 14772, + "Ġdeleted": 14773, + "ĉprivate": 14774, + "primary": 14775, + "Ġpointer": 14776, + "ĠJa": 14777, + "pmatrix": 14778, + "Ġske": 14779, + "ĠÐĴа": 14780, + "avour": 14781, + "ä¸į足": 14782, + "\":\"": 14783, + "Ġperd": 14784, + "èĤ¡ç¥¨": 14785, + "selected": 14786, + "four": 14787, + "Ġdial": 14788, + "cpp": 14789, + "ĠDou": 14790, + "以为": 14791, + "Meta": 14792, + "posing": 14793, + "Ġuncertainty": 14794, + "ä¸įäºĨ": 14795, + "Ġapi": 14796, + "Ġthinks": 14797, + "Ġmultip": 14798, + "Ġay": 14799, + "ĉ///": 14800, + "pred": 14801, + "ĠRest": 14802, + "Ġmyst": 14803, + "Ġpse": 14804, + "èĥ½æºIJ": 14805, + "ĠCarolina": 14806, + "è¶ĭåĬ¿": 14807, + "ĠTri": 14808, + "Ġprohib": 14809, + "Ġeggs": 14810, + "unicipis": 14811, + "Ġdil": 14812, + "hidden": 14813, + "Ġconfident": 14814, + "arcely": 14815, + "Ġadequ": 14816, + "Ġss": 14817, + "Ġfingers": 14818, + "Ġbesides": 14819, + "Ġcorn": 14820, + "MD": 14821, + "ĠвклÑİ": 14822, + "Ġwriters": 14823, + "lab": 14824, + "$Ġ$": 14825, + "BUG": 14826, + "ĠEconom": 14827, + "Ġdecrease": 14828, + "çĶĺ": 14829, + "Writer": 14830, + "ĠDVD": 14831, + "çıį": 14832, + "Ġattended": 14833, + "Ġcrack": 14834, + "unta": 14835, + "Ġcompetitive": 14836, + "Futbolistes": 14837, + "ancel": 14838, + "mn": 14839, + "MAX": 14840, + "æݨèįIJ": 14841, + "Ġclip": 14842, + "Ġseparated": 14843, + "Ġradi": 14844, + "åŃĶ": 14845, + "Ġoutputs": 14846, + "sime": 14847, + "Ġpossession": 14848, + "ÃŃtics": 14849, + "Ġgranted": 14850, + "ĠФÑĢан": 14851, + "Ġcir": 14852, + "åĮ»çĶŁ": 14853, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ$": 14854, + "横": 14855, + "Ġaddressed": 14856, + "Ġmagnitude": 14857, + "Ġretire": 14858, + "Ġaccompan": 14859, + "Ġpermit": 14860, + "Ġfragment": 14861, + "Ġúlt": 14862, + "Ġveter": 14863, + "Ġquart": 14864, + "Ġmanten": 14865, + "country": 14866, + "ĠPut": 14867, + "Ġlikes": 14868, + "дове": 14869, + "æī¾åĪ°": 14870, + "agg": 14871, + "ju": 14872, + "Ġprimers": 14873, + "åĮĸçļĦ": 14874, + "Ġcursor": 14875, + "Ġaquests": 14876, + "notes": 14877, + "ĠвÑģи": 14878, + "fc": 14879, + "rin": 14880, + "Ġchest": 14881, + "Job": 14882, + "ĠSpain": 14883, + "rada": 14884, + "享åıĹ": 14885, + "Ġcancel": 14886, + "èĢĹ": 14887, + "simeq": 14888, + "between": 14889, + "Ġfallen": 14890, + "pecially": 14891, + "æľ±": 14892, + "Ġmixture": 14893, + "Ġbind": 14894, + "ĠAction": 14895, + "Term": 14896, + "ä¹Łå°±æĺ¯": 14897, + "Ġfunctionality": 14898, + "ikipedia": 14899, + "-(": 14900, + "åĬłä¸Ĭ": 14901, + "iry": 14902, + "ĠProfessor": 14903, + "Ġmic": 14904, + "æĶ¾åľ¨": 14905, + "Ġfavourite": 14906, + "Ġterc": 14907, + "ĠDigital": 14908, + "ĠFriend": 14909, + "ĠThree": 14910, + "aC": 14911, + "Ġfasc": 14912, + "åĽ°éļ¾": 14913, + "Ġtransparent": 14914, + "Ġterritori": 14915, + "Ġwrites": 14916, + "Ġlighting": 14917, + "BL": 14918, + "ĠCould": 14919, + "roph": 14920, + "temp": 14921, + "Send": 14922, + "abling": 14923, + "uture": 14924, + "å¾IJ": 14925, + "itled": 14926, + "вÑıва": 14927, + "ITE": 14928, + "éĽĨä¸Ń": 14929, + "ĠĠĠ|": 14930, + "Ġjudgment": 14931, + "Ident": 14932, + "å§Ķåijĺ": 14933, + "Ġmedicine": 14934, + "æĻ¨": 14935, + "Ġcommittee": 14936, + "Ġpipe": 14937, + "ĠHas": 14938, + "ÂŃ": 14939, + "Tim": 14940, + "Ġtemporada": 14941, + "伤害": 14942, + "Ġвоен": 14943, + "Ġfeat": 14944, + "沿": 14945, + "utf": 14946, + "ĠMiddle": 14947, + "ĠBol": 14948, + "äºĭå®ŀ": 14949, + "å°±åľ¨": 14950, + "editor": 14951, + "ÑĤÑĢе": 14952, + "Ġbunch": 14953, + "ructura": 14954, + "Ġdesde": 14955, + "亦": 14956, + "Ġsurgery": 14957, + "Ġllavors": 14958, + "æ¢ģ": 14959, + "Ġsatisfaction": 14960, + "âĦ¢": 14961, + "ÃŃstica": 14962, + "Ġmirror": 14963, + "ĠEnergy": 14964, + "ĠasÃŃ": 14965, + "UES": 14966, + "Ġchocolate": 14967, + "æ°¸è¿ľ": 14968, + "çĸ¼": 14969, + "Ġenemies": 14970, + "æģ¢": 14971, + "ĠKnow": 14972, + "irable": 14973, + "Ġbike": 14974, + "adament": 14975, + "ký": 14976, + "ĠPrint": 14977, + "Ġneglect": 14978, + "Ġconsumption": 14979, + "æĽ¿": 14980, + "FFFF": 14981, + "åŃ©åŃIJçļĦ": 14982, + "è°ĥæŁ¥": 14983, + "Ġcomposition": 14984, + "Ġlake": 14985, + "Ġpercentage": 14986, + "èĥŀ": 14987, + "Ġtun": 14988, + "Package": 14989, + "ĠFun": 14990, + "ä»ĵ": 14991, + "aciones": 14992, + "Ġreputation": 14993, + "ÑĬлгаÑĢÑģки": 14994, + "Ġregistration": 14995, + "ĠÐłÐ°": 14996, + "Ġdependencies": 14997, + "ÑģÑĤен": 14998, + "ucky": 14999, + "athan": 15000, + "Ġdependency": 15001, + "bsite": 15002, + "é«ĺéĢŁ": 15003, + "Ġgrep": 15004, + "ĠpolÃŃtica": 15005, + "Ġagreg": 15006, + "schema": 15007, + "Ġtrobar": 15008, + "ĠrÃł": 15009, + "Jan": 15010, + "adi": 15011, + "Ġsettled": 15012, + "Example": 15013, + "anca": 15014, + "ĠSta": 15015, + "Ġconfused": 15016, + "Ġrecognition": 15017, + "Ġrod": 15018, + "rell": 15019, + "Cond": 15020, + "Ġexclusive": 15021, + "æĺ¯åĽłä¸º": 15022, + "ASE": 15023, + "ĠKn": 15024, + "éĢĴ": 15025, + "Ġpoll": 15026, + "пÑĤе": 15027, + "Ġgenerator": 15028, + "Ġproduces": 15029, + "纹": 15030, + "????": 15031, + "ĠIrish": 15032, + "Ġappointment": 15033, + "/\"": 15034, + "ã": 15035, + "ĠпÑĥ": 15036, + "vy": 15037, + "ĉ'": 15038, + "mind": 15039, + "Ġnue": 15040, + "best": 15041, + "Ġtrim": 15042, + "download": 15043, + "Ġmonthly": 15044, + "aping": 15045, + "UTF": 15046, + "})}": 15047, + "Ġguanyar": 15048, + "ĠÑĩи": 15049, + "rowse": 15050, + "ĠHoly": 15051, + "女åĦ¿": 15052, + "Take": 15053, + "Ïģ": 15054, + ",\\,": 15055, + "Ġmét": 15056, + "Ġticket": 15057, + "Ġships": 15058, + "Ġskip": 15059, + "Ġende": 15060, + "urar": 15061, + "aigua": 15062, + "çĤ¼": 15063, + "uming": 15064, + "âĪ": 15065, + "icl": 15066, + "atar": 15067, + "making": 15068, + "ĠUP": 15069, + "Ġsuperf": 15070, + ")_{": 15071, + "Ġproxy": 15072, + "addr": 15073, + "бÑĢо": 15074, + ".-": 15075, + "uate": 15076, + "ĠAz": 15077, + "ĠCert": 15078, + "gex": 15079, + "ĠHig": 15080, + "Ġclinical": 15081, + "Ġrecurs": 15082, + "Ġprotein": 15083, + "Ġgolf": 15084, + "hl": 15085, + "çĬ¯ç½ª": 15086, + "Ġcourage": 15087, + "篮": 15088, + "å°±è¦ģ": 15089, + "Ġdemocr": 15090, + "DT": 15091, + "ĠMike": 15092, + "æĦŁæĥħ": 15093, + "Ġcoordinate": 15094, + "Ġwal": 15095, + "èĩªçĶ±": 15096, + "attribute": 15097, + "å®ĥ们": 15098, + ":--": 15099, + "ĠÑģÑĤо": 15100, + "ilitat": 15101, + "ĠÐĸ": 15102, + "Ġlargely": 15103, + "Ġdesk": 15104, + "ĠConference": 15105, + "çĶ¨äºİ": 15106, + "equip": 15107, + "bold": 15108, + "èļ": 15109, + "éŀĭ": 15110, + "ÑĬм": 15111, + "ĠThough": 15112, + "Ġexplicitly": 15113, + "Ġconjunt": 15114, + "bell": 15115, + "Ġbrands": 15116, + "Ġaux": 15117, + "Ġsauce": 15118, + "èĢĥè¯ķ": 15119, + "ĠоÑĢгани": 15120, + "Ġip": 15121, + "Ġregime": 15122, + "åį³åı¯": 15123, + "Ġcriteria": 15124, + "hire": 15125, + "Ġextr": 15126, + "language": 15127, + "åĬĽçļĦ": 15128, + "Ġcrisis": 15129, + "bserv": 15130, + "Ġincredible": 15131, + "æIJŃéħį": 15132, + "ĠÑĦа": 15133, + "Ġaccord": 15134, + "æīĢè°ĵ": 15135, + "urd": 15136, + "Ġnerv": 15137, + "Ġcheer": 15138, + "ĠPO": 15139, + "Ġfifty": 15140, + "Ġautomatic": 15141, + "tk": 15142, + "idelines": 15143, + "缸æ¯Ķ": 15144, + "Ġefect": 15145, + "è´¹çĶ¨": 15146, + "Ġlandscape": 15147, + "shape": 15148, + "Ġholes": 15149, + "Ġregarded": 15150, + "iento": 15151, + "ĠPy": 15152, + "Ġmanufacturing": 15153, + "вин": 15154, + "Metadata": 15155, + "ĠPlace": 15156, + "ĠDar": 15157, + "Ġcomputation": 15158, + "ĠEmp": 15159, + "udes": 15160, + "Ġstudio": 15161, + "eca": 15162, + "Ġpregn": 15163, + "ami": 15164, + "åı¦ä¸Ģ": 15165, + "shell": 15166, + "exports": 15167, + "Ġvegades": 15168, + "Param": 15169, + "ĠFour": 15170, + "zone": 15171, + "tp": 15172, + "Ġtruck": 15173, + "Ġpremium": 15174, + "eda": 15175, + "Ġfluid": 15176, + "Ġdownloaded": 15177, + "Tool": 15178, + "Ġmood": 15179, + "Xml": 15180, + "Tube": 15181, + "åľ°åĿĢ": 15182, + "ÑĨо": 15183, + "Ġlongitud": 15184, + "track": 15185, + "Ġtherapy": 15186, + "ÐĴи": 15187, + "pin": 15188, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 15189, + "Ġinvariant": 15190, + "Ġham": 15191, + "later": 15192, + "Ġachie": 15193, + "Ġintelligence": 15194, + "ún": 15195, + "æĹ¶æľŁ": 15196, + "Ġspir": 15197, + "charg": 15198, + "acionals": 15199, + "expl": 15200, + "åĹ": 15201, + "Ġnotion": 15202, + "并没æľī": 15203, + "ä¸ī个": 15204, + "ä»Ļ": 15205, + "æĻºæħ§": 15206, + "Ġ\"\"": 15207, + "лÑĬ": 15208, + "login": 15209, + "emes": 15210, + "Ġentrance": 15211, + "家çļĦ": 15212, + "ĠCho": 15213, + "Ġimply": 15214, + "æķĮ": 15215, + "Ġencoding": 15216, + "Ġsummar": 15217, + "ĠCy": 15218, + "Ġpep": 15219, + "Ġал": 15220, + "hour": 15221, + "åŁ¹è®Ń": 15222, + "rers": 15223, + "ĠConfig": 15224, + "orgeous": 15225, + "Ġsuspend": 15226, + "Ġinch": 15227, + "Ġconform": 15228, + "ĠCru": 15229, + "Ġswap": 15230, + "ε": 15231, + "XT": 15232, + "ĠVall": 15233, + "ĠLA": 15234, + "Ġopposed": 15235, + "username": 15236, + "Ġthrew": 15237, + "execute": 15238, + "ĠKar": 15239, + "é£İæł¼": 15240, + "TEST": 15241, + "çªģçĦ¶": 15242, + "Ġunf": 15243, + "вежда": 15244, + "ĠRoom": 15245, + "ILE": 15246, + "ĠcÃłrrec": 15247, + "æĦıè§ģ": 15248, + "Ġburning": 15249, + "Ġsurprising": 15250, + "uper": 15251, + "Ġsuffered": 15252, + "Ġbands": 15253, + "éĥij": 15254, + "odi": 15255, + "ticle": 15256, + "Ġstrike": 15257, + "half": 15258, + "Users": 15259, + "Ġfacilit": 15260, + "人ä½ĵ": 15261, + "Ġtemple": 15262, + "ponential": 15263, + "fd": 15264, + "Classes": 15265, + "Ġpoly": 15266, + "åģ¶": 15267, + "respond": 15268, + "æ¯į亲": 15269, + "ланд": 15270, + "Api": 15271, + "Ġnit": 15272, + "ĠоÑĤно": 15273, + "Ġrepository": 15274, + "IGHT": 15275, + "player": 15276, + "Ġinstitution": 15277, + "Ġinvolving": 15278, + "è·Ŀ离": 15279, + "mil": 15280, + "isor": 15281, + "Bytes": 15282, + "ä½įäºİ": 15283, + "Ġvoc": 15284, + "Ġmonument": 15285, + "Ġexpectations": 15286, + "Var": 15287, + "ïda": 15288, + "å¿į": 15289, + "Rect": 15290, + "ĠWilliams": 15291, + "ĠSher": 15292, + "Ġestoy": 15293, + "Ġhip": 15294, + "ĠPeak": 15295, + "Ġhypothes": 15296, + "ĠEXPECT": 15297, + "æľºåħ³": 15298, + "Ġassessment": 15299, + "ĠChief": 15300, + "å°±åĥı": 15301, + "Ġinclou": 15302, + "Ġtranslate": 15303, + "ĠCase": 15304, + "properties": 15305, + "Ġignor": 15306, + "Ġflags": 15307, + "ĠChrome": 15308, + "ĠChris": 15309, + "ĠMu": 15310, + "Ġdetall": 15311, + "è¿ŀç»Ń": 15312, + "Ġsql": 15313, + "eman": 15314, + "ĠÑĤози": 15315, + "Ġsomebody": 15316, + "Ġprojection": 15317, + "Ġbatch": 15318, + "Ġdrugs": 15319, + "Ġclase": 15320, + "è·¨": 15321, + "òs": 15322, + "Ġmanufacturer": 15323, + "ĠгÑĢÑĥпа": 15324, + "ä¹Łè®¸": 15325, + ")}{\\": 15326, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 15327, + "ressed": 15328, + "ACT": 15329, + "!!!!": 15330, + "Ġdiam": 15331, + "ctrine": 15332, + "iso": 15333, + "Ġreporting": 15334, + "Ġtota": 15335, + "Ġpartitions": 15336, + "MR": 15337, + "ĠIR": 15338, + "ĠAustralian": 15339, + ")\\\\": 15340, + "Ġsymmetric": 15341, + "Ġveure": 15342, + "Ġattempts": 15343, + "Ġmeetings": 15344, + "ÐĹа": 15345, + "record": 15346, + "Save": 15347, + "Ġnacional": 15348, + "xr": 15349, + "etary": 15350, + "ĠRh": 15351, + "ña": 15352, + "Ġsteam": 15353, + "Ġfalls": 15354, + "Ġ''": 15355, + "ĠÃĢ": 15356, + "GC": 15357, + "çķħ": 15358, + "Ġtack": 15359, + "éĶĭ": 15360, + "Ubuntu": 15361, + "inue": 15362, + "ĠColumb": 15363, + "ĠHaving": 15364, + "ĠChildren": 15365, + "unidenc": 15366, + "indic": 15367, + "æļĤ": 15368, + "depth": 15369, + "æ³ī": 15370, + "Ġng": 15371, + "Ġspark": 15372, + "PAR": 15373, + "ĠCorn": 15374, + "Ġdiscovery": 15375, + "Ġcomposed": 15376, + "merce": 15377, + "анд": 15378, + "ĠAlf": 15379, + "çļĦéĩįè¦ģ": 15380, + "Library": 15381, + "åĬŀåħ¬": 15382, + "Ġlord": 15383, + "Ġannoy": 15384, + "ĠMol": 15385, + "Ġcopies": 15386, + "wer": 15387, + "ĠDuke": 15388, + "ĠCommon": 15389, + "God": 15390, + "åı¯ä»¥è¯´": 15391, + "Ġepisode": 15392, + "æŃ¤æ¬¡": 15393, + "Ġoverw": 15394, + "ĠAuto": 15395, + "Ġмал": 15396, + "Ġvectors": 15397, + "å¾Ħ": 15398, + "Ġhasn": 15399, + "ÑĤин": 15400, + "adel": 15401, + "Ġeverybody": 15402, + "Ġrefused": 15403, + "æĴij": 15404, + "(@": 15405, + "Ġinstal": 15406, + "Ġseny": 15407, + "Ġdeeply": 15408, + "åĨľä¸ļ": 15409, + "Ġllam": 15410, + "ües": 15411, + "channel": 15412, + "ĠAff": 15413, + "ĠMC": 15414, + "ĠBor": 15415, + "Ġrely": 15416, + "imit": 15417, + "Ġtwelve": 15418, + "Perm": 15419, + "Ñħод": 15420, + "cep": 15421, + "Ġbonus": 15422, + "Play": 15423, + "dropdown": 15424, + "Ġmoist": 15425, + "Ġloose": 15426, + "åİ»äºĨ": 15427, + "Ġcrazy": 15428, + "è¦": 15429, + "ĠIndians": 15430, + "usal": 15431, + "ĠWithout": 15432, + "ĠRub": 15433, + "PER": 15434, + "BD": 15435, + "Ġscores": 15436, + "ĠAndrew": 15437, + "é¼»": 15438, + "Ġocean": 15439, + "è¡ĮæĶ¿": 15440, + "region": 15441, + "Ġdistricte": 15442, + "Ġhub": 15443, + "éĻª": 15444, + "acent": 15445, + "Symbol": 15446, + "ç´«": 15447, + "åĨħçļĦ": 15448, + "Ġproducing": 15449, + "Ġtender": 15450, + "igration": 15451, + "Ġmonitoring": 15452, + "è¾ij": 15453, + "Adapter": 15454, + "igue": 15455, + "Ġези": 15456, + "dc": 15457, + "æ¡ĥ": 15458, + "Ġamounts": 15459, + "orious": 15460, + "itzada": 15461, + "Ġgifts": 15462, + "çļĦ好": 15463, + "Ġinfrastructure": 15464, + "NET": 15465, + "INSERT": 15466, + "thought": 15467, + "ĠBGCOLOR": 15468, + "Under": 15469, + "ndia": 15470, + "usb": 15471, + "ĠNatural": 15472, + "Aug": 15473, + "çĮ«": 15474, + "register": 15475, + "Ġroyal": 15476, + "ĠVery": 15477, + "Editor": 15478, + "ÑĬÑĢÑĤ": 15479, + "Ġprayer": 15480, + "istant": 15481, + "necessary": 15482, + "Ñģпо": 15483, + "Ġacknowled": 15484, + "ostic": 15485, + "ĠRO": 15486, + "mass": 15487, + "people": 15488, + "ĠSea": 15489, + "æīİ": 15490, + "Ġpy": 15491, + "Ġgradient": 15492, + "Ġdemonstrate": 15493, + "ubble": 15494, + "ĠзапоÑĩва": 15495, + "æIJŀ": 15496, + "Ġfrustr": 15497, + "åľ°äº§": 15498, + "ĠÐIJл": 15499, + "Ġзна": 15500, + "Ġsupplied": 15501, + "Ġinvited": 15502, + "æģ¢å¤į": 15503, + "ĠCanadian": 15504, + "æľīçĤ¹": 15505, + "Ġpiano": 15506, + "å¹²éĥ¨": 15507, + "ĠAli": 15508, + "boolean": 15509, + "ĠOlÃŃmpics": 15510, + "inson": 15511, + "Ġenables": 15512, + "ĠPers": 15513, + "ionat": 15514, + "Ãīs": 15515, + "mor": 15516, + "something": 15517, + "æĸ¹ä¾¿": 15518, + "Account": 15519, + "abases": 15520, + "quality": 15521, + "Ġale": 15522, + "éħįç½®": 15523, + "Ġexecutive": 15524, + "ç»Īäºİ": 15525, + "zip": 15526, + "ĠдÑĬл": 15527, + "opic": 15528, + "including": 15529, + "zes": 15530, + "è§ĤçĤ¹": 15531, + "ĠTot": 15532, + "èµĽåŃ£": 15533, + "FET": 15534, + "headers": 15535, + "Obj": 15536, + "imo": 15537, + "Ġorganic": 15538, + "è¿Ļ款": 15539, + "Ġrug": 15540, + "ĠFer": 15541, + "Ġacquaint": 15542, + "Ġpuedes": 15543, + "ĠExecut": 15544, + "ĠShort": 15545, + "unsigned": 15546, + "Ġsubsequent": 15547, + "Ġquot": 15548, + "ä¹ĭå¤ĸ": 15549, + "Ġforgotten": 15550, + "Alumnes": 15551, + "imation": 15552, + "limit": 15553, + "Ġhousehold": 15554, + "åľŁåľ°": 15555, + "æ·±åħ¥": 15556, + "might": 15557, + "Ġwake": 15558, + "ĠCome": 15559, + "ribució": 15560, + "Contact": 15561, + "ections": 15562, + "Ġpitch": 15563, + "Ġtheoretical": 15564, + "Ġpens": 15565, + "bird": 15566, + "Ġconvey": 15567, + "Oct": 15568, + "Ġcounsel": 15569, + "Ġanxiety": 15570, + "Ġdrops": 15571, + "Ġpic": 15572, + "Ġsoc": 15573, + "Ġexposure": 15574, + "Which": 15575, + "ĠJersey": 15576, + "Ġproves": 15577, + "%\"": 15578, + "ften": 15579, + "Ġaver": 15580, + "Ġaer": 15581, + "åľ³": 15582, + "åıijåĬ¨æľº": 15583, + "Ġspite": 15584, + "Parser": 15585, + "Ġsectors": 15586, + "еÑĤ": 15587, + "Ġhavien": 15588, + "пÑĤемвÑĢи": 15589, + "ä¸ģ": 15590, + "frica": 15591, + "欢è¿İ": 15592, + "Ġtel": 15593, + "ĠнагÑĢа": 15594, + "æĻļä¸Ĭ": 15595, + "Ġamplitude": 15596, + "ĠLab": 15597, + "åĪ¶ä½ľ": 15598, + "except": 15599, + "Ġhandler": 15600, + "ĠDub": 15601, + "Ġparticipate": 15602, + "idal": 15603, + "ĠNorm": 15604, + "Byte": 15605, + "ĠlÃŃnia": 15606, + "Ġmarg": 15607, + "Ġpromised": 15608, + "Bit": 15609, + "ĠHP": 15610, + "Ġrein": 15611, + "rons": 15612, + "verted": 15613, + "ĠÑĦоÑĢ": 15614, + "ĠShop": 15615, + "anqu": 15616, + "ĠDick": 15617, + "gi": 15618, + "Ġconvinc": 15619, + "ĠWorks": 15620, + "Ġappointed": 15621, + "ĠNothing": 15622, + "Ġcanvi": 15623, + "Ġdiode": 15624, + "ĠкÑĥ": 15625, + "ÑĢов": 15626, + "Ġdonde": 15627, + "çģŃ": 15628, + "ño": 15629, + "ikes": 15630, + "åķĨåĵģ": 15631, + "æ·±åľ³": 15632, + "Ġflower": 15633, + "Ġpanels": 15634, + "ĠMonte": 15635, + "rying": 15636, + "ä½ĵèĤ²": 15637, + "Ġstellar": 15638, + "Ġalgunes": 15639, + "viously": 15640, + "Ġending": 15641, + "Ġtomorrow": 15642, + "Ġguidance": 15643, + "Ġscheduled": 15644, + "Ġcombine": 15645, + "Ġcanç": 15646, + "Ġmatrices": 15647, + "ĠCro": 15648, + "å°¤åħ¶æĺ¯": 15649, + "èĪį": 15650, + "Ġcommitment": 15651, + "Hab": 15652, + "ADD": 15653, + "ĠiPad": 15654, + "Ġproposal": 15655, + "Ġphp": 15656, + "Ġpowder": 15657, + "Ġattractive": 15658, + "ĠProte": 15659, + "Ġrestricted": 15660, + "kt": 15661, + "Ġgrub": 15662, + "ĠRoma": 15663, + "ĠDun": 15664, + "Ġremoval": 15665, + "Ġtras": 15666, + "娱ä¹IJ": 15667, + "ĠJackson": 15668, + "mill": 15669, + "Ġemotional": 15670, + "acial": 15671, + "Ġurban": 15672, + "ifice": 15673, + "Ġzones": 15674, + "Ġinspiration": 15675, + "Ġreducing": 15676, + "Ġclosing": 15677, + "æĭ¼": 15678, + "imm": 15679, + "ĠÑģпе": 15680, + "ĠPref": 15681, + "Ġgathered": 15682, + "âĢĭ": 15683, + "çŃ¹": 15684, + "SER": 15685, + "rb": 15686, + "circle": 15687, + "Ġnamely": 15688, + "Ġslip": 15689, + "ĠPortug": 15690, + "Ġcompanion": 15691, + "comfort": 15692, + "Ġcycl": 15693, + "andra": 15694, + "Persones": 15695, + "got": 15696, + "ĠCS": 15697, + "ĠDictionary": 15698, + "Ġflexible": 15699, + "ĠJuan": 15700, + "ĠWatch": 15701, + "ĠDurant": 15702, + "likely": 15703, + "Media": 15704, + "Ġhun": 15705, + "Ġmorph": 15706, + "çªģçł´": 15707, + "Ġtipo": 15708, + "five": 15709, + "igr": 15710, + "ĠNa": 15711, + "èĤ¾": 15712, + "sed": 15713, + "ĠBoy": 15714, + "ilibrium": 15715, + "ĠТой": 15716, + "ÑıÑģÑĤо": 15717, + "upid": 15718, + "Ġexplo": 15719, + "Ġabuse": 15720, + "æ¡Ī件": 15721, + "Ġoutcome": 15722, + "Ġyard": 15723, + "Ġmurder": 15724, + "Ġopinions": 15725, + "exception": 15726, + "身份": 15727, + "Ġpeculiar": 15728, + "Ġsteady": 15729, + "Ġinnoc": 15730, + "edat": 15731, + "ин": 15732, + "ĠSouthern": 15733, + "Ġinnovative": 15734, + "Ġfilms": 15735, + "books": 15736, + "ä»ģ": 15737, + "æĿ¥æºIJ": 15738, + "Ġscales": 15739, + "Lock": 15740, + "Fin": 15741, + "tikz": 15742, + "å¨ĺ": 15743, + "ĠGaussian": 15744, + "Ġshooting": 15745, + "Ġwished": 15746, + "Ġrepet": 15747, + "ĠLoad": 15748, + "Ġbol": 15749, + "å¤Ħäºİ": 15750, + "Ġ·": 15751, + "ĠAqu": 15752, + "lemen": 15753, + "Ġfluct": 15754, + "ĠвиÑģо": 15755, + "çĿĽ": 15756, + "å¥Ķ": 15757, + "Ġbell": 15758, + "Ġsafely": 15759, + "Ġports": 15760, + "ĠStan": 15761, + "ĠÑģÑĢеÑī": 15762, + "çļĦä¸Ģ个": 15763, + "FORM": 15764, + "ç¥Ŀ": 15765, + "Ġpink": 15766, + "Ġbeer": 15767, + "ление": 15768, + "article": 15769, + "пиÑģа": 15770, + "Ġdenied": 15771, + "Ġsink": 15772, + "aç": 15773, + "Ġaffairs": 15774, + "Ġauthorities": 15775, + "Ġnose": 15776, + "Âł$": 15777, + "USE": 15778, + "ODO": 15779, + "Ġscar": 15780, + "ships": 15781, + "ĠÐŁÑĢи": 15782, + "ĠÑĢÑĥ": 15783, + "Ġdavant": 15784, + "Ġhire": 15785, + "ген": 15786, + "ĠIF": 15787, + "ardens": 15788, + "ĠÐĻо": 15789, + "æ´ŀ": 15790, + "ĠSmall": 15791, + "ĠStandard": 15792, + "events": 15793, + "ĠVI": 15794, + "Ġpropose": 15795, + "пен": 15796, + "æĦŁåıĹ": 15797, + "æ³¥": 15798, + "Ġod": 15799, + "ètica": 15800, + "closure": 15801, + "ĠCEO": 15802, + "Ġanglès": 15803, + "Ġдва": 15804, + "æģĴ": 15805, + "ĠÑĥнивеÑĢÑģиÑĤе": 15806, + "ÑĤиÑĢа": 15807, + "ç¡®ä¿Ŀ": 15808, + "并ä¸įæĺ¯": 15809, + "Ġ=>Ġ$": 15810, + "Ġliterally": 15811, + "ĠLat": 15812, + "Ġdreams": 15813, + "Ġanybody": 15814, + "æ»´": 15815, + "Changed": 15816, + "Ġnations": 15817, + "QUE": 15818, + "Ġminds": 15819, + "Ġmagnet": 15820, + "åIJĪçIJĨ": 15821, + "Ãłnic": 15822, + "inline": 15823, + "ĠDEFAULT": 15824, + "Ġdictionary": 15825, + "åĭ¤": 15826, + "Rule": 15827, + "ĠPolicy": 15828, + "Sch": 15829, + "Ġum": 15830, + "Ġкла": 15831, + "dam": 15832, + "Ġdevelopers": 15833, + "'(": 15834, + "æĿ°": 15835, + "åľ¨ä¸Ģèµ·": 15836, + "Ġloving": 15837, + "ĠApplication": 15838, + "åĴ¨": 15839, + "Ġsatisfying": 15840, + "Ãłtic": 15841, + "éĢIJæ¸IJ": 15842, + "(\"#": 15843, + "Ġpreparation": 15844, + "Sym": 15845, + "Ġprefix": 15846, + "inated": 15847, + "Cre": 15848, + "Ġconvergence": 15849, + "Ġestatunidenc": 15850, + "Ġbab": 15851, + "Ġmanip": 15852, + "æ°ijæĹı": 15853, + "éĺħ读": 15854, + "çħ§çīĩ": 15855, + "èħIJ": 15856, + "å°Ŀ": 15857, + "Ġfoods": 15858, + "Ġcontemporary": 15859, + "ĠХа": 15860, + "ĠExpl": 15861, + "bc": 15862, + "Ġlamp": 15863, + "Ġinterpretation": 15864, + "ĠFunction": 15865, + "Ġtaxes": 15866, + "Ġroots": 15867, + "ilty": 15868, + "Ġhath": 15869, + "ĠÑĢазпо": 15870, + "ansas": 15871, + "icip": 15872, + "ĠMicro": 15873, + "oor": 15874, + "æĺ¯ä¸į": 15875, + "pson": 15876, + "Ġweights": 15877, + "ĠDam": 15878, + "Ġaltra": 15879, + "ĠÑĤÑıÑħ": 15880, + "Ġdecent": 15881, + "many": 15882, + "Ġphysics": 15883, + "afe": 15884, + "Ġlets": 15885, + "Ġpúblic": 15886, + "Ġбез": 15887, + "èªī": 15888, + "WA": 15889, + "èĢģ人": 15890, + "Ġdisplays": 15891, + "Ġ\\}": 15892, + "Cho": 15893, + "Ġmilitar": 15894, + "Ġtempt": 15895, + "ĠÐļон": 15896, + "Ġangry": 15897, + "Ġlessons": 15898, + "tan": 15899, + "Ġstages": 15900, + "ĠEss": 15901, + "Ġapple": 15902, + "Struct": 15903, + "åĺ´": 15904, + "лек": 15905, + "Ġgear": 15906, + "FIG": 15907, + "ĠBritain": 15908, + "job": 15909, + "ĠOxford": 15910, + "Ġcondem": 15911, + "Prop": 15912, + "Tunes": 15913, + "kernel": 15914, + ":#": 15915, + "çĪ¶äº²": 15916, + "Pay": 15917, + "orient": 15918, + "Ġsevent": 15919, + "ĠÑģвеÑĤо": 15920, + "lit": 15921, + "è´¯": 15922, + "Ġluxury": 15923, + "Ġweapons": 15924, + "çİ°å®ŀ": 15925, + "çĭĤ": 15926, + "tym": 15927, + "configure": 15928, + "Ġdisseny": 15929, + "reason": 15930, + "ĠCatholic": 15931, + "mma": 15932, + "andy": 15933, + "Ġflavor": 15934, + "веÑĩе": 15935, + "åħįè´¹": 15936, + "Ġwash": 15937, + "wan": 15938, + "Municipis": 15939, + "thur": 15940, + "离å¼Ģ": 15941, + "ançant": 15942, + "Ġfinals": 15943, + "cules": 15944, + "Ġflying": 15945, + "æ·»": 15946, + "Ġpropiet": 15947, + "ĠCloud": 15948, + "è¡ĮçļĦ": 15949, + "даÑĢ": 15950, + "cover": 15951, + "Ġforum": 15952, + "Ġbatteries": 15953, + "Ġconcert": 15954, + "Ġpeix": 15955, + "Ġvint": 15956, + "resp": 15957, + "ĠдÑĬÑĢжа": 15958, + "Ġejecut": 15959, + "Ġposició": 15960, + "ĠÐŁÑĬÑĢ": 15961, + "Ġrepresentative": 15962, + "icional": 15963, + "Ġscroll": 15964, + "ssia": 15965, + "设æĸ½": 15966, + "ĠHad": 15967, + "èµĶ": 15968, + "Ġinitially": 15969, + "aron": 15970, + "Ġadmitted": 15971, + "Ġforen": 15972, + "æĺ¨": 15973, + "ryption": 15974, + "Ġroutine": 15975, + "Ign": 15976, + "ĠNature": 15977, + "Ġqualified": 15978, + "Ġtort": 15979, + ")\\,": 15980, + "Ġattitude": 15981, + "ä¸Ĭ涨": 15982, + "required": 15983, + "Ġbid": 15984, + "Ġputs": 15985, + "å®ĩ": 15986, + "çħ®": 15987, + "ĠDrive": 15988, + "Timeout": 15989, + "åĴ¨è¯¢": 15990, + "Ġcute": 15991, + "ĠWild": 15992, + "Ġworthy": 15993, + "å±ħæ°ij": 15994, + "Ġpayments": 15995, + "åĬ²": 15996, + "ĠTE": 15997, + "Ġpenal": 15998, + "Ġconsequences": 15999, + "èµĦæľ¬": 16000, + "specific": 16001, + "kl": 16002, + "ÑĤели": 16003, + "ÑĢÑĬÑīа": 16004, + "ĠÑĥÑĩи": 16005, + ")},": 16006, + "Author": 16007, + "æĦ¿æĦı": 16008, + "Ġposit": 16009, + "说çļĦ": 16010, + "Ġimpedance": 16011, + "urse": 16012, + "Ġbuilder": 16013, + "Ġroughly": 16014, + "Ġunusual": 16015, + "ĠBroad": 16016, + "çī¹çĤ¹": 16017, + "Ġpolynomial": 16018, + "Ġrespective": 16019, + "Ġprimarily": 16020, + "engers": 16021, + "ĠUnfortunately": 16022, + "Ġinsight": 16023, + "energy": 16024, + "Ġenforce": 16025, + "Ġequipped": 16026, + "Ġinvestigate": 16027, + "Sn": 16028, + ">$": 16029, + "sters": 16030, + "Ġaccum": 16031, + "è®Ńç»ĥ": 16032, + "çļĦå·¥ä½ľ": 16033, + "Ġtags": 16034, + "ä¼į": 16035, + "Ñģле": 16036, + "ĠMobile": 16037, + "Ġinvoke": 16038, + "Ġexplains": 16039, + "Ġenorm": 16040, + "conscious": 16041, + "[(": 16042, + "mask": 16043, + "ĠStudio": 16044, + "aba": 16045, + "Щ": 16046, + "лага": 16047, + "exper": 16048, + "Close": 16049, + "å°±ä¸į": 16050, + "ĠNeed": 16051, + "Ġigual": 16052, + "Ġbranches": 16053, + "ĠигÑĢа": 16054, + "erving": 16055, + "ç»Ŀ对": 16056, + "Ġactu": 16057, + "ifting": 16058, + "æĹģ": 16059, + "ĠнаÑģеле": 16060, + "eras": 16061, + "HD": 16062, + "Ġcertificate": 16063, + "羣å®ŀ": 16064, + "ĠVeg": 16065, + "seen": 16066, + "Ġpad": 16067, + "Ġизползва": 16068, + "Ġclothing": 16069, + "æĥħ绪": 16070, + "Ġservei": 16071, + "гÑĥÑģÑĤ": 16072, + "ificis": 16073, + "Print": 16074, + "Ġperiods": 16075, + "Selector": 16076, + "actic": 16077, + "ĠLay": 16078, + "ctl": 16079, + "为主": 16080, + "Ġcompletion": 16081, + "ĠColl": 16082, + "Ġpolitics": 16083, + "Ġorth": 16084, + "random": 16085, + "òlic": 16086, + "Ġunity": 16087, + "Ġstartup": 16088, + "Ġllibre": 16089, + "lisher": 16090, + "atile": 16091, + "Ġadvantages": 16092, + "Ġultimately": 16093, + "äºĭ件": 16094, + "æīįæĺ¯": 16095, + "lee": 16096, + "Program": 16097, + "Sele": 16098, + "crit": 16099, + "Ġsynchron": 16100, + "ол": 16101, + "idental": 16102, + "ĠÑĢÑĬ": 16103, + "Ġlucky": 16104, + "éĵº": 16105, + "æĮ¯": 16106, + "Ġcommunicate": 16107, + "Ġimpressive": 16108, + "gnome": 16109, + "Ġmostrar": 16110, + "é¦Ļ港": 16111, + "ĠгÑĢаÑĦ": 16112, + "ĠLind": 16113, + "æķ°åŃĹ": 16114, + "mg": 16115, + "Ġdistant": 16116, + "Ġresum": 16117, + "Ġsampling": 16118, + "sun": 16119, + "ä¸ĢæŦ": 16120, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 16121, + "Ġunitats": 16122, + "Channel": 16123, + "Ġborrow": 16124, + "Ġspectra": 16125, + "ÐijÑĬлгаÑĢÑģки": 16126, + "elihood": 16127, + "fony": 16128, + "walk": 16129, + "TABLE": 16130, + "ĠFinal": 16131, + "EDIT": 16132, + "åĵ¦": 16133, + "wind": 16134, + "Ġschema": 16135, + "èĢĮè¨Ģ": 16136, + "users": 16137, + "Queue": 16138, + "èĤ¿": 16139, + "Ġnavigation": 16140, + "ĠÐļÑĥ": 16141, + "CF": 16142, + "ĠVari": 16143, + "Ġexamine": 16144, + "åĪ°åºķ": 16145, + "ç§Ĵ": 16146, + "ĠJane": 16147, + "Ġeveryday": 16148, + "Ġtx": 16149, + "ĠTrust": 16150, + "anwhile": 16151, + "ĠHost": 16152, + "ç¾İçļĦ": 16153, + "è¦Ĩ": 16154, + "ÐłÐ°Ð·": 16155, + "fail": 16156, + "ä¼¼ä¹İ": 16157, + "ĠMother": 16158, + "èĥĨ": 16159, + "Ġtracking": 16160, + "GIN": 16161, + "ä¸Ńåįİ": 16162, + "èĸĦ": 16163, + "ĠмÑıÑģÑĤо": 16164, + "ussion": 16165, + "èĥ¸": 16166, + "Release": 16167, + "æĮº": 16168, + "лин": 16169, + "ĠEN": 16170, + "gia": 16171, + "ĠTal": 16172, + "ĠOpt": 16173, + "Ġec": 16174, + "Ġdeploy": 16175, + "Ġescrit": 16176, + "ironments": 16177, + "忽": 16178, + "Items": 16179, + "spir": 16180, + "éŃĶ": 16181, + "ÑĢод": 16182, + "Ġoccupied": 16183, + "bla": 16184, + "Ġbowl": 16185, + "Best": 16186, + "Ġengagement": 16187, + "家éĩĮ": 16188, + "è¿Ľè¡ĮäºĨ": 16189, + "Ġadapter": 16190, + "ĠHo": 16191, + "ategy": 16192, + "ĠдÑĥÑĪи": 16193, + "Ġmath": 16194, + "report": 16195, + "ĠJosep": 16196, + "Today": 16197, + "Ġassociation": 16198, + "Ġpasses": 16199, + "Ġentertainment": 16200, + "Ġimproving": 16201, + "æ¦ľ": 16202, + "original": 16203, + "stats": 16204, + "Ġbien": 16205, + "cod": 16206, + "Activ": 16207, + "ĠElizabeth": 16208, + "Ġcontrary": 16209, + "ĠоÑīе": 16210, + "Ġmaintained": 16211, + "Ġfright": 16212, + "Ġrip": 16213, + "inch": 16214, + "Ġdesper": 16215, + "ä¹ı": 16216, + "Ġspo": 16217, + "æŃ£ç¡®": 16218, + "å¡ij": 16219, + "Ġdign": 16220, + "éĶģ": 16221, + "éĩĩåıĸ": 16222, + "ĠTaylor": 16223, + "ão": 16224, + "Ġfier": 16225, + "clean": 16226, + "Ġintensity": 16227, + "æľ¬èº«": 16228, + "duino": 16229, + "Ġrum": 16230, + "ĠDoctor": 16231, + "attered": 16232, + "Ġедна": 16233, + "zil": 16234, + "BM": 16235, + "Ġconsent": 16236, + "Ġservir": 16237, + "callback": 16238, + "Ġhosting": 16239, + "Äģ": 16240, + "æĤ²": 16241, + "enum": 16242, + "prene": 16243, + "sal": 16244, + "ç½ijç«Ļ": 16245, + "Ġneighbour": 16246, + "ĠBru": 16247, + "ĠGiven": 16248, + "omorphic": 16249, + "PG": 16250, + "integr": 16251, + "Ġaccomplish": 16252, + "proposition": 16253, + "Ġtank": 16254, + "Ġstudying": 16255, + "æĺİæĺŁ": 16256, + "Ġanten": 16257, + "��": 16258, + "Ġapprox": 16259, + "addle": 16260, + "ĠConsell": 16261, + "Directory": 16262, + "кÑĢе": 16263, + "详": 16264, + "Ġgay": 16265, + "åħ¬åħ±": 16266, + "_*": 16267, + "ĠÐIJÑĢ": 16268, + "ĠHospital": 16269, + "ĠSS": 16270, + "Ġgrave": 16271, + "Ġfestival": 16272, + "Espanya": 16273, + "Ġquadr": 16274, + "ä¸¥æł¼": 16275, + "IOS": 16276, + "ĠPath": 16277, + "Ġasset": 16278, + "ĠLev": 16279, + "Mrs": 16280, + "Ġreaching": 16281, + "Ġdescript": 16282, + "OF": 16283, + "PUT": 16284, + "Ġdownt": 16285, + "Consider": 16286, + "кедониÑı": 16287, + "ĠNap": 16288, + "ĠEdward": 16289, + "dependent": 16290, + "bg": 16291, + "ècia": 16292, + "Ġacceptable": 16293, + "Ġdeeper": 16294, + "riers": 16295, + "pler": 16296, + "Âłmetres": 16297, + "åĨĴ": 16298, + "Ġpoblacions": 16299, + "ardo": 16300, + "оло": 16301, + "Ġcontest": 16302, + "Ġdiverse": 16303, + "ygon": 16304, + "Ġpertany": 16305, + "éĩįæĸ°": 16306, + "æľĪ份": 16307, + "çIJĨ论": 16308, + "Ġtelevisió": 16309, + "æĥľ": 16310, + "special": 16311, + "Alg": 16312, + "ĠKen": 16313, + "ocup": 16314, + "phones": 16315, + "Ġfounded": 16316, + "odot": 16317, + "engine": 16318, + "ductor": 16319, + "ĠExpress": 16320, + "WM": 16321, + "èĬĤ缮": 16322, + "ĠSSD": 16323, + "Fields": 16324, + "(!": 16325, + "ç¾İ丽": 16326, + "scroll": 16327, + "///": 16328, + "вÑĥ": 16329, + "ĠISBN": 16330, + "ä¸ĭéĿ¢": 16331, + "pendix": 16332, + "Ġscenes": 16333, + "Ġinfant": 16334, + "ĠDescription": 16335, + "çĶ¨çļĦ": 16336, + "sis": 16337, + "Ġhesit": 16338, + "Ġtestim": 16339, + "å¢ŀ强": 16340, + "åĬŀçIJĨ": 16341, + "жение": 16342, + "Ġporta": 16343, + "same": 16344, + "Ġharder": 16345, + "æĭŁ": 16346, + "Ġdestroyed": 16347, + "Ġagencies": 16348, + "çIJĥéĺŁ": 16349, + "Ġhistò": 16350, + "Ġpreg": 16351, + "Ġelsewhere": 16352, + "ierre": 16353, + "Ġ---": 16354, + "Ġnobody": 16355, + "Ġconfusion": 16356, + "Ġdrinking": 16357, + "ÑĩеÑģка": 16358, + "Remove": 16359, + "American": 16360, + "Ġgiant": 16361, + "itage": 16362, + "company": 16363, + "accept": 16364, + "pection": 16365, + "Day": 16366, + "Ġviewed": 16367, + "eres": 16368, + "мпи": 16369, + "Ġclusters": 16370, + "Ġvulner": 16371, + "éħĴåºĹ": 16372, + "cludes": 16373, + "Lear": 16374, + "çĹĩçĬ¶": 16375, + "âĢĶâĢĶ": 16376, + "Ġgnome": 16377, + "Details": 16378, + "кÑĬÑģно": 16379, + "ĠOcc": 16380, + "angel": 16381, + "Ġroles": 16382, + "Ġamongst": 16383, + "stic": 16384, + "Ġformar": 16385, + "Ġserveis": 16386, + "мÑĥ": 16387, + "anyes": 16388, + "ncies": 16389, + "让æĪij": 16390, + "Ġlogo": 16391, + "Float": 16392, + "Further": 16393, + "Ġdarkness": 16394, + "Ġcomputers": 16395, + "éĻ·": 16396, + "воÑĤо": 16397, + "ĠFac": 16398, + "separ": 16399, + "HR": 16400, + "æ³Ľ": 16401, + "ç½²": 16402, + "меÑĤ": 16403, + "hd": 16404, + "Ġshield": 16405, + "Ġmembre": 16406, + "Ġmuest": 16407, + "role": 16408, + "Ġsword": 16409, + "Assert": 16410, + "Pop": 16411, + "Ġdiscrete": 16412, + "Ġpes": 16413, + "Ġheating": 16414, + "Ġgraphs": 16415, + "course": 16416, + "ĠAG": 16417, + "æį·": 16418, + "Ġhits": 16419, + "Ġcompliance": 16420, + "Ġautor": 16421, + "qq": 16422, + "burn": 16423, + "Ġaltogether": 16424, + "vint": 16425, + "Match": 16426, + "Ġrarely": 16427, + "ĠDown": 16428, + "Ġhospit": 16429, + "ĠEnvironment": 16430, + "Ġacquired": 16431, + "åѦä¼ļ": 16432, + "Ġalongside": 16433, + "Ġprofiles": 16434, + "Boolean": 16435, + "Ġlosses": 16436, + "ĠDocument": 16437, + "人类": 16438, + "Ġrecording": 16439, + "å®ĮåĸĦ": 16440, + "Ġllog": 16441, + "osed": 16442, + "Ġclassific": 16443, + "èĤ¡ä»½": 16444, + "Ġglob": 16445, + "ĠOl": 16446, + "camp": 16447, + "æĸ½å·¥": 16448, + "Theorem": 16449, + "Panel": 16450, + "寿": 16451, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 16452, + "aya": 16453, + "缴æĴŃ": 16454, + "Ġcrash": 16455, + "dfrac": 16456, + "Ġscaling": 16457, + "ĠÑģÑĢеÑīÑĥ": 16458, + "çłĶåıij": 16459, + "oa": 16460, + "ĠÑĨÑĬÑĢ": 16461, + "Ġfishing": 16462, + "åİŁåĪĻ": 16463, + "Ġnotation": 16464, + "irts": 16465, + "onto": 16466, + "Ġdiscrim": 16467, + "Ġrelat": 16468, + "ÑģÑĤÑĬ": 16469, + "Ġrisks": 16470, + "both": 16471, + "ĠLevel": 16472, + "Grid": 16473, + "verter": 16474, + "Ġreinstall": 16475, + "éī": 16476, + "Ġearned": 16477, + "adoop": 16478, + "Ġwooden": 16479, + "éĢļçŁ¥": 16480, + "Ġglory": 16481, + "uego": 16482, + "Ġphr": 16483, + "mapsto": 16484, + "è²": 16485, + "çļĦçĶŁæ´»": 16486, + "ITION": 16487, + "Ġreduces": 16488, + "å«Į": 16489, + "Ġcaptured": 16490, + "追æ±Ĥ": 16491, + "ĠAssembly": 16492, + "Ġengage": 16493, + "wd": 16494, + "Ġmsg": 16495, + "ĠNode": 16496, + "ÑĨен": 16497, + "设置": 16498, + "Security": 16499, + "vet": 16500, + "Ġagric": 16501, + "Arch": 16502, + "Ġweird": 16503, + "дж": 16504, + "ĠTa": 16505, + "iera": 16506, + "Ġglance": 16507, + "è¾£": 16508, + "ĠChange": 16509, + "ependent": 16510, + "impl": 16511, + "Ġinstantly": 16512, + "ioned": 16513, + "ĠÑģепÑĤемвÑĢи": 16514, + "pal": 16515, + "Ġhal": 16516, + "Ġcomputing": 16517, + "å¾Īéļ¾": 16518, + "exists": 16519, + "æ¶Ĥ": 16520, + "STATE": 16521, + "Ġrevolution": 16522, + "еди": 16523, + "ÃŃf": 16524, + "каÑĢ": 16525, + "apse": 16526, + "Ġsubmitted": 16527, + "Ġresume": 16528, + "Ġfluctu": 16529, + "oric": 16530, + "Ġreceiver": 16531, + "æĹ¥å¸¸": 16532, + "æĺ¯ä¸ª": 16533, + "Opt": 16534, + "aland": 16535, + "Ġox": 16536, + ".__": 16537, + "Ġtied": 16538, + "Transaction": 16539, + "åı¥è¯Ŀ": 16540, + "Public": 16541, + "Ġenterprise": 16542, + "switch": 16543, + "ележки": 16544, + "身边": 16545, + "Ġorn": 16546, + "Ġplatforms": 16547, + "ĠпеÑĢио": 16548, + "ússia": 16549, + "éĢĥ": 16550, + "ä¸Ģ家": 16551, + "车çļĦ": 16552, + "Ġeconòm": 16553, + "çĪ±çļĦ": 16554, + "queue": 16555, + ")[": 16556, + "Ġmunicipal": 16557, + "移åĬ¨": 16558, + "Ġretorn": 16559, + "Ġresearchers": 16560, + "single": 16561, + "ĠGames": 16562, + "åĨĮ": 16563, + "å¿ĥéĩĮ": 16564, + ")--": 16565, + "çŁ¿": 16566, + "à¸": 16567, + "ĠÑĪ": 16568, + "Ġsons": 16569, + "Ġsuggestion": 16570, + "idays": 16571, + "EQ": 16572, + "éī´": 16573, + "æīĭæľ¯": 16574, + "Ġversus": 16575, + "Ġbrows": 16576, + "Ġcalendar": 16577, + "Ġamd": 16578, + "ĠKent": 16579, + "ä¹Łæ²¡æľī": 16580, + "Ġthoroughly": 16581, + "пÑĥбли": 16582, + "Ġfitting": 16583, + "ĠTask": 16584, + "Ġlocked": 16585, + "ÑĤоÑĢиÑı": 16586, + "adas": 16587, + "Ġfortune": 16588, + "Ġ++": 16589, + "Ġbroadcast": 16590, + "Ġwisdom": 16591, + "Ġasympt": 16592, + "dark": 16593, + "Ġpushed": 16594, + ")&": 16595, + "ĠMi": 16596, + "wart": 16597, + "Own": 16598, + "uced": 16599, + "Ġqueue": 16600, + "olis": 16601, + "åľ¨è¿Ļ": 16602, + "Ġ[[": 16603, + "loader": 16604, + "麦": 16605, + "asses": 16606, + "вÑĬÑĢÑĪва": 16607, + "åĪ©çĽĬ": 16608, + "ĠNob": 16609, + "Ġbelongs": 16610, + "Ïĥ": 16611, + "мини": 16612, + "UC": 16613, + "olo": 16614, + "欣": 16615, + "ĠTan": 16616, + "ĠFront": 16617, + "written": 16618, + "AF": 16619, + "Sal": 16620, + "oubt": 16621, + "snap": 16622, + "ĠpolÃŃtic": 16623, + "Ġproducció": 16624, + "Gen": 16625, + "Msg": 16626, + "ĠAdam": 16627, + "Ġframes": 16628, + "Ġprocessor": 16629, + "贷款": 16630, + "essa": 16631, + "Ġloans": 16632, + "Ġdentro": 16633, + "ĠSET": 16634, + "夺": 16635, + "VERSION": 16636, + "ĠTen": 16637, + "ĠOhio": 16638, + ")}}": 16639, + "çĵ¶": 16640, + "Ġpuzz": 16641, + "беÑĢг": 16642, + "Ġdatasets": 16643, + "pathy": 16644, + "Ġclaimed": 16645, + "cong": 16646, + "available": 16647, + "Bel": 16648, + "Ġwanting": 16649, + "notations": 16650, + "ÂłaC": 16651, + "idir": 16652, + "Ġdozen": 16653, + "clipse": 16654, + "vc": 16655, + "èĭ±åĽ½": 16656, + "seq": 16657, + "Ġestimation": 16658, + "Ġfrequent": 16659, + "Wrap": 16660, + "Ġlesson": 16661, + "é¢Ĺ": 16662, + "宾": 16663, + "ĠPos": 16664, + "ÑģÑĤви": 16665, + "LES": 16666, + "æŶçļĦ": 16667, + "Ġhanging": 16668, + "Ġchances": 16669, + "Ġrelacion": 16670, + "lymp": 16671, + "Ġduties": 16672, + "those": 16673, + "Ġtransistor": 16674, + "èĭĹ": 16675, + "å·¥èµĦ": 16676, + "Ãłb": 16677, + "Ġetapa": 16678, + "ç¨ĭåºı": 16679, + "Ġlens": 16680, + "ingut": 16681, + "ouses": 16682, + "rub": 16683, + "Ġ>=Ġ": 16684, + "chief": 16685, + "Ġhorizontal": 16686, + "Ġexclus": 16687, + "Dest": 16688, + "mus": 16689, + "æľīä¸Ģ个": 16690, + "Ġmaj": 16691, + "ĠÐŁÑĢо": 16692, + "Introduction": 16693, + "ĠCost": 16694, + "Ġash": 16695, + "Ġshame": 16696, + "Descriptor": 16697, + "Track": 16698, + "Ġorange": 16699, + "ç²īä¸Ŀ": 16700, + "Ġbuttons": 16701, + "Ãłnica": 16702, + "lyph": 16703, + "ĠArmy": 16704, + "irk": 16705, + "simple": 16706, + "ĠSegons": 16707, + "Ġcock": 16708, + "Ġteen": 16709, + "Ġlawyer": 16710, + "tre": 16711, + "ĠEtym": 16712, + "letes": 16713, + "onna": 16714, + "party": 16715, + "æĬķåħ¥": 16716, + "ä¸ĭåįĪ": 16717, + "Ġtelevision": 16718, + "ĠJosé": 16719, + "Ñĩение": 16720, + "Ġstrictly": 16721, + "Ġunlock": 16722, + "Ġcontro": 16723, + "Ġremembered": 16724, + "å°ıåѦ": 16725, + "Ġmathemat": 16726, + "Ġmechanical": 16727, + "ĠInternacional": 16728, + "Ġmare": 16729, + "Ġcharging": 16730, + "循": 16731, + "Ġroads": 16732, + "Rad": 16733, + "Ġfilters": 16734, + "Apr": 16735, + "SIZE": 16736, + "æľºåĪ¶": 16737, + "Ġdub": 16738, + "love": 16739, + "èĢĢ": 16740, + "ĠEL": 16741, + "Ġresultado": 16742, + "Ġconventional": 16743, + "fff": 16744, + "oton": 16745, + "Ġtar": 16746, + "ĠFC": 16747, + "ĠSimple": 16748, + "Ġlisting": 16749, + "大éĩı": 16750, + "æĦĪ": 16751, + "åĵģè´¨": 16752, + "Extension": 16753, + "æĺ¯ä¸įæĺ¯": 16754, + "Ġoverwhel": 16755, + "æ©": 16756, + "ĠLas": 16757, + "å§ľ": 16758, + "ÑģÑĤÑĢан": 16759, + "Ġcompt": 16760, + "æħ¢æħ¢": 16761, + "Ġcampus": 16762, + "éixer": 16763, + "lesh": 16764, + "ethe": 16765, + "Ġcultiv": 16766, + "Ġupgraded": 16767, + "ĠGer": 16768, + "ĠScript": 16769, + "Ġrental": 16770, + "nis": 16771, + "església": 16772, + "ifestyle": 16773, + "Auth": 16774, + "parison": 16775, + "iper": 16776, + "ĠCollection": 16777, + "iller": 16778, + "ĠBrook": 16779, + "Ġscarcely": 16780, + "èı²": 16781, + "ulus": 16782, + "Ġexpenses": 16783, + "æŶå°ļ": 16784, + "Report": 16785, + "Ġtroubles": 16786, + "yers": 16787, + "Ġinvestors": 16788, + "ĠCub": 16789, + "Ġion": 16790, + "Ġregulations": 16791, + "Ġreconst": 16792, + "æ¸ħæ¥ļ": 16793, + "èľľ": 16794, + "gra": 16795, + "alog": 16796, + "ĠBluetooth": 16797, + "iza": 16798, + "ĠSystems": 16799, + "Ġgalaxy": 16800, + "STAT": 16801, + "ĠSettings": 16802, + "Ġ[];": 16803, + "Ġlluit": 16804, + "ç½ijä¸Ĭ": 16805, + "gets": 16806, + "Ġprinter": 16807, + "ä¹Į": 16808, + "odd": 16809, + "åıijå±ķçļĦ": 16810, + "Ġupcoming": 16811, + "Ġrocks": 16812, + "Ġwinner": 16813, + "èĥ¶": 16814, + "è®°å½ķ": 16815, + "Ġselecting": 16816, + "Ġrural": 16817, + "Ġdirecció": 16818, + "stud": 16819, + "Ġdebate": 16820, + "Ġwoods": 16821, + "opes": 16822, + "Ġparagraph": 16823, + "å¹³åĿĩ": 16824, + "character": 16825, + "cdn": 16826, + "è§Ī": 16827, + "ĠSky": 16828, + "Ġgrateful": 16829, + "ĠÑĤака": 16830, + "ĠArea": 16831, + "åºŁ": 16832, + "cola": 16833, + "Ġongoing": 16834, + "Ġram": 16835, + "Ġtongue": 16836, + "rypted": 16837, + "ĠĠ+": 16838, + "çĭ¬ç«ĭ": 16839, + "Ġeq": 16840, + "feature": 16841, + "Ġmining": 16842, + "sym": 16843, + "Ġboots": 16844, + "CESS": 16845, + "Ġclouds": 16846, + "Ġpainted": 16847, + "æĽ´å¤ļçļĦ": 16848, + "неÑģ": 16849, + "ĠĠ`": 16850, + "Ġ).": 16851, + "Ġpressed": 16852, + "burgh": 16853, + "æ§": 16854, + "Ġcrist": 16855, + "Ġfrequencies": 16856, + "Video": 16857, + "adores": 16858, + "ĠFont": 16859, + "Inv": 16860, + "holders": 16861, + "ĠEdition": 16862, + "æĶ¹åĸĦ": 16863, + "çľĭçĿĢ": 16864, + "èµĦæĸĻ": 16865, + "bé": 16866, + "ĠUnc": 16867, + "åĪ©æ¶¦": 16868, + "ĠHelp": 16869, + "Ġgallery": 16870, + "Ġresponses": 16871, + "äºĭæķħ": 16872, + "ĠOt": 16873, + "Ġbomb": 16874, + "Ġgradually": 16875, + "ĠÑĤÑĥÑĢ": 16876, + "Ġsis": 16877, + "Ġpilot": 16878, + "Ġgènere": 16879, + "ToString": 16880, + "Comment": 16881, + "awa": 16882, + "ĠFall": 16883, + "Ġcircular": 16884, + "ена": 16885, + "æī¿æĭħ": 16886, + "Ġmixing": 16887, + "ĠYouTube": 16888, + "гла": 16889, + "ĠProperty": 16890, + "Should": 16891, + "éĩį大": 16892, + "Ġpredicted": 16893, + "çĽij管": 16894, + "Ġ>>": 16895, + "riving": 16896, + "Ġradiation": 16897, + "驱": 16898, + "moment": 16899, + "Ġimplements": 16900, + "Ðijележки": 16901, + "ÑīеÑĢ": 16902, + "EP": 16903, + "Ġtèc": 16904, + "ĠLle": 16905, + "空æ°Ķ": 16906, + "ĠWilson": 16907, + "peror": 16908, + "Ġdiamond": 16909, + "boy": 16910, + "mir": 16911, + "Ġencounter": 16912, + "everal": 16913, + "uing": 16914, + "asures": 16915, + "Stop": 16916, + "Ġillness": 16917, + "ĠPhilip": 16918, + "ĠSep": 16919, + "è¾Ī": 16920, + "çľł": 16921, + "apply": 16922, + "mA": 16923, + "ĠAntonio": 16924, + "Ġвид": 16925, + "himself": 16926, + "Ġorden": 16927, + "ĠiTunes": 16928, + "åIJĮæ¯Ķ": 16929, + "Ġworn": 16930, + "cref": 16931, + "âij": 16932, + "Ġmarch": 16933, + ":}": 16934, + "ĠFoot": 16935, + "кÑĤомвÑĢи": 16936, + "mos": 16937, + "Very": 16938, + "ixel": 16939, + "bis": 16940, + "они": 16941, + "çIJĨ念": 16942, + "Ġtang": 16943, + "绣ä¸Ģ": 16944, + "Ġinstruments": 16945, + "uesta": 16946, + "Both": 16947, + "ĠDim": 16948, + "Ġfaç": 16949, + "çĽĪ": 16950, + "ĠпÑĢодÑĬл": 16951, + "ogeneous": 16952, + "å®ŀè·µ": 16953, + "rega": 16954, + "TF": 16955, + "Ġvessel": 16956, + "Ġfetch": 16957, + "æĪĸ许": 16958, + "æĦŁåĪ°": 16959, + "fixed": 16960, + "opher": 16961, + "Ġterra": 16962, + "è®©ä½ł": 16963, + "Ġrated": 16964, + "Ġmembership": 16965, + "Ġvain": 16966, + "Ġmismo": 16967, + "广åijĬ": 16968, + "Ġbreaks": 16969, + "вÑıÑĤ": 16970, + "Ġnivell": 16971, + "peat": 16972, + "èĭ¹": 16973, + "кÑĤоÑĢ": 16974, + "Ġfilling": 16975, + "Ġinicial": 16976, + "Ġpuls": 16977, + "Ġcomand": 16978, + "Ġquantities": 16979, + "åĵŃ": 16980, + "Ġheavily": 16981, + "Ġclicking": 16982, + "***": 16983, + "Ġnights": 16984, + "è¿ħéĢŁ": 16985, + "Се": 16986, + "ĠassertEquals": 16987, + "Pres": 16988, + "Ġobstant": 16989, + "ĠAsh": 16990, + "Ġreserv": 16991, + "tiny": 16992, + "ĠSI": 16993, + "Ġplaceholder": 16994, + "Ġpace": 16995, + "æ°§": 16996, + "Ġfunciona": 16997, + "çľ¼çĿĽ": 16998, + "Ġdescribing": 16999, + "Ġanar": 17000, + "Ġdefinitions": 17001, + "æĢ§èĥ½": 17002, + "Ġmemories": 17003, + "console": 17004, + "atiu": 17005, + "Ġreun": 17006, + "Ġboss": 17007, + "Ġstatistical": 17008, + "ĠHamiltonian": 17009, + "ĠBlock": 17010, + "Ġreact": 17011, + "Ġpermitted": 17012, + "Ġlegend": 17013, + "å°ĸ": 17014, + "Ġediting": 17015, + "NER": 17016, + "Abstract": 17017, + "arris": 17018, + "olver": 17019, + "маÑĤи": 17020, + "parameters": 17021, + "ÑĤÑĢÑĥ": 17022, + "æķ°éĩı": 17023, + "Ġdrain": 17024, + "æ¼Ĥ": 17025, + "prom": 17026, + "Ġkit": 17027, + "Ġsurrounded": 17028, + "大éĥ¨åĪĨ": 17029, + "宿": 17030, + "èķ": 17031, + "è§Ĥä¼Ĺ": 17032, + "ĠCou": 17033, + "ÑĤок": 17034, + "åĿ¦": 17035, + "Ġcalib": 17036, + "Ġcouncil": 17037, + "ĠHay": 17038, + "ĠSenate": 17039, + "ĠSurvey": 17040, + "tail": 17041, + "Ġstops": 17042, + "Ġconcepts": 17043, + "ĠBlog": 17044, + "Ġtemporal": 17045, + "Ġasp": 17046, + "å¹´é¾Ħ": 17047, + "Ġovercome": 17048, + "Ġcommunications": 17049, + "anth": 17050, + "åIJįçļĦ": 17051, + "[:": 17052, + "ĠÐĶе": 17053, + "ĠRegne": 17054, + "Ġeurope": 17055, + "hide": 17056, + "Ġwishes": 17057, + "èĩªæĪij": 17058, + "ĠModern": 17059, + "Ġusername": 17060, + "ĠBath": 17061, + "Ġsinging": 17062, + "æ¾³": 17063, + "ĠPacific": 17064, + "represent": 17065, + "æµ®": 17066, + "Ġgorgeous": 17067, + "ĠNick": 17068, + "Ġvarying": 17069, + "VI": 17070, + "Ġconfess": 17071, + "ĠSite": 17072, + "termin": 17073, + "ĠFO": 17074, + "Ġnearest": 17075, + "Ġguns": 17076, + "Ġgravity": 17077, + "Ġrouter": 17078, + "Ġ{{": 17079, + "ĠTher": 17080, + "å¾Ī好": 17081, + "HC": 17082, + "Join": 17083, + "Ġcopper": 17084, + "Ġcrusher": 17085, + "aco": 17086, + "ç¼´": 17087, + "Ġcrypt": 17088, + "wich": 17089, + "нÑĥаÑĢи": 17090, + "much": 17091, + "ĠDI": 17092, + "apy": 17093, + "Ġcrossed": 17094, + "Ġawareness": 17095, + "initial": 17096, + "Ġmitjançant": 17097, + "Ġrelay": 17098, + "ÏĤ": 17099, + "ĠTX": 17100, + "Ġriding": 17101, + "science": 17102, + "Ġmagazine": 17103, + "xs": 17104, + "Ġsymbols": 17105, + "Ġconverted": 17106, + "Ġtech": 17107, + "ÑģÑĤоÑĢи": 17108, + "rams": 17109, + "Ġmembres": 17110, + "Memory": 17111, + "Ben": 17112, + "riction": 17113, + "Ġjoining": 17114, + "Ġtargets": 17115, + "Ġconstructor": 17116, + "åħħ满": 17117, + "held": 17118, + "ANG": 17119, + "Ġscrew": 17120, + "Ġmyster": 17121, + "ĠTy": 17122, + "ireless": 17123, + "SEE": 17124, + "çī¹æ®Ĭ": 17125, + "ÑĤеÑĢи": 17126, + "Ġimprovements": 17127, + "Ġlin": 17128, + "Ġreflection": 17129, + "Prov": 17130, + "Ġbegun": 17131, + "Ġpharm": 17132, + "emat": 17133, + "Ġvariations": 17134, + "Ġmetadata": 17135, + "Ġsupplement": 17136, + "Ġsocket": 17137, + "伸": 17138, + "Ġtexture": 17139, + "Ġcum": 17140, + "BER": 17141, + "ĠTerr": 17142, + "weak": 17143, + "èĭ¹æŀľ": 17144, + "ĠSteve": 17145, + "ĠPhys": 17146, + "gal": 17147, + "ĉĉĉ$": 17148, + "hbar": 17149, + "Ãłcia": 17150, + "Ġbearing": 17151, + "gb": 17152, + "ĠGN": 17153, + "Ġweapon": 17154, + "Come": 17155, + "ĠСÑĤа": 17156, + "Member": 17157, + "Ġleague": 17158, + "ĠMessage": 17159, + "ĠMcC": 17160, + "rieve": 17161, + "ç¢İ": 17162, + "ĠMè": 17163, + "Ġsor": 17164, + "grub": 17165, + "Ġshops": 17166, + "Ġoffices": 17167, + "身ä¸Ĭ": 17168, + "Ġboards": 17169, + "ĠXML": 17170, + "Ġavailability": 17171, + "Ġarranged": 17172, + "ä¸įåĨį": 17173, + "Mock": 17174, + "å¾Ī大": 17175, + "åĩ¯": 17176, + "Ġfeatured": 17177, + "ĠCin": 17178, + "çĤ¸": 17179, + "Ġmodal": 17180, + "Ġanimation": 17181, + "ĠEditor": 17182, + "Ġseats": 17183, + "Ġllengua": 17184, + "Ġpuedo": 17185, + "printf": 17186, + "Ġdesigner": 17187, + "ĠClient": 17188, + "acias": 17189, + "Ġgaire": 17190, + "Ġetern": 17191, + "è¿IJè¡Į": 17192, + "Ġanomenat": 17193, + "======": 17194, + "Ġизда": 17195, + "Ġproportion": 17196, + "para": 17197, + "Ġpc": 17198, + "icity": 17199, + "ousin": 17200, + "æIJľ": 17201, + "platform": 17202, + "æĿľ": 17203, + "Ġprogramme": 17204, + "Ġlogs": 17205, + "Ġworldwide": 17206, + "ĠÐľÐ°ÐºÐµÐ´Ð¾Ð½Ð¸Ñı": 17207, + "Ġaccompanied": 17208, + "Ġmeta": 17209, + "\\;": 17210, + "ĠFox": 17211, + "å§Ĩ": 17212, + "USER": 17213, + "Ġesdeven": 17214, + "Failed": 17215, + "Ġvacation": 17216, + "ĠÑģин": 17217, + "çļĦæĸ¹å¼ı": 17218, + "ĠGreg": 17219, + "amsung": 17220, + "Ġpropri": 17221, + "Ġpersu": 17222, + "READ": 17223, + "ĠCant": 17224, + "Ġkeen": 17225, + "ĠMountain": 17226, + "æ¯Ķä¾ĭ": 17227, + "Ġsucceeded": 17228, + "æīĵå¼Ģ": 17229, + "ultura": 17230, + "Ġemotion": 17231, + "лнаÑĤа": 17232, + "å¦Ļ": 17233, + "å²ģçļĦ": 17234, + "ĠFL": 17235, + "piece": 17236, + "Ġ>=": 17237, + "Ġanxious": 17238, + "Ġlleg": 17239, + "Ġdipl": 17240, + "Ġvictim": 17241, + "æ¯ı次": 17242, + "度çļĦ": 17243, + "WR": 17244, + "Ġapproval": 17245, + "ulum": 17246, + "秦": 17247, + "ĠDog": 17248, + "дÑĬÑĢжа": 17249, + "Ġhills": 17250, + "Ġcref": 17251, + "rait": 17252, + "Ġmanaging": 17253, + "lapse": 17254, + "abet": 17255, + "ãĢĮ": 17256, + "pow": 17257, + "Ġfate": 17258, + "Ġtrivial": 17259, + "Ġvest": 17260, + "Ġexcitement": 17261, + "Ġquotes": 17262, + "ĠMundial": 17263, + "Ġfaint": 17264, + "Graph": 17265, + "Ġforty": 17266, + "ASH": 17267, + "orse": 17268, + "Ġdemands": 17269, + "Ġgenerating": 17270, + "ĠAf": 17271, + "形象": 17272, + "ogrÃłfica": 17273, + "ÑģкиÑıÑĤ": 17274, + "\"../../../": 17275, + "ĠHum": 17276, + "Ġmoviment": 17277, + "rating": 17278, + "Ġ\",": 17279, + "ĠProm": 17280, + "ĠÑıнÑĥаÑĢи": 17281, + "asma": 17282, + "裤": 17283, + "ç¬¬åĽĽ": 17284, + "Ġtrends": 17285, + "achus": 17286, + "iph": 17287, + "inois": 17288, + "Ġdefines": 17289, + "lament": 17290, + "Ġfinance": 17291, + "Ġbinding": 17292, + "yo": 17293, + "Ġbron": 17294, + "ĠоÑģ": 17295, + "SSION": 17296, + "Ġoccasionally": 17297, + "Ġstraightforward": 17298, + "Given": 17299, + "Ġforça": 17300, + "Tests": 17301, + ")})": 17302, + "Ġdiscussions": 17303, + "Ġasks": 17304, + "пÑĢил": 17305, + "ndre": 17306, + "åŁºåľ°": 17307, + "ĠUI": 17308, + "Auto": 17309, + "think": 17310, + "неÑĢ": 17311, + "ĠCSS": 17312, + "ĠRol": 17313, + "ORY": 17314, + "aset": 17315, + "Ġscattering": 17316, + "çĶµåĬ¨": 17317, + "extra": 17318, + "壮": 17319, + "ĠMatt": 17320, + "mad": 17321, + "è¯Ńè¨Ģ": 17322, + "ignment": 17323, + "ç»Ĩèĥŀ": 17324, + "广å·ŀ": 17325, + "âķIJâķIJâķIJâķIJ": 17326, + "ctic": 17327, + "Pool": 17328, + "othe": 17329, + "coln": 17330, + "Ġdressed": 17331, + "Ġtien": 17332, + "Loader": 17333, + "ĠChair": 17334, + "Ġtalks": 17335, + "Ġultimate": 17336, + "illo": 17337, + "Ġgreet": 17338, + "PIO": 17339, + "òleg": 17340, + "Ġsoph": 17341, + "Ġplaça": 17342, + "orf": 17343, + "диÑı": 17344, + "ĠокÑĤомвÑĢи": 17345, + "Ġsurve": 17346, + "Ġtouched": 17347, + "imental": 17348, + "å¿ħè¦ģ": 17349, + "ÑħÑĥ": 17350, + "岸": 17351, + "æĿ¥åĪ°": 17352, + "sync": 17353, + "eh": 17354, + "ĠMov": 17355, + "quant": 17356, + "Ġsavings": 17357, + "Ġphilosophy": 17358, + "\")]": 17359, + "æĦıæĢĿ": 17360, + "ĠбÑĬде": 17361, + "ĠGro": 17362, + "Ġprinting": 17363, + "ĠOP": 17364, + "Ġreferring": 17365, + "ĠFord": 17366, + "å¾Īæľī": 17367, + "ÑīиÑĤе": 17368, + "ĠSA": 17369, + "ĠPartit": 17370, + "ĠGil": 17371, + "éļĨ": 17372, + "带çĿĢ": 17373, + "éĥ½è¦ģ": 17374, + "Ġtradition": 17375, + "VC": 17376, + "Ġsorts": 17377, + "çī¹åĪ«æĺ¯": 17378, + "incre": 17379, + "åĢ¾": 17380, + "åįģå¹´": 17381, + "ĠTenn": 17382, + "eno": 17383, + "Sep": 17384, + "ĠпÑĢ": 17385, + "Ġmanufacturers": 17386, + "ĠRoss": 17387, + "Ġassumptions": 17388, + "å±ķ示": 17389, + "Ġjet": 17390, + "Ġcontribut": 17391, + "Ġstretch": 17392, + "ĠSecretary": 17393, + "åħ¬å¼Ģ": 17394, + "Ġdescend": 17395, + "overs": 17396, + "ÐIJЩ": 17397, + "Ġlaser": 17398, + "ĠSports": 17399, + "ãĢį": 17400, + "cross": 17401, + "Ġinnovation": 17402, + "éĥ½èĥ½": 17403, + "èIJ¥éĶĢ": 17404, + "Ġexponential": 17405, + "Ġextensions": 17406, + "ĠScotland": 17407, + "è§ĦèĮĥ": 17408, + "ĠVic": 17409, + "Ġdw": 17410, + "Ñģна": 17411, + "åĬ¨ä½ľ": 17412, + "кола": 17413, + "agent": 17414, + "Ġelem": 17415, + "Ġcolours": 17416, + "entre": 17417, + "åħ¼": 17418, + "ĠÑģÑĤе": 17419, + "Ġprecious": 17420, + "Ġdrove": 17421, + "Ġvez": 17422, + "Ġpublication": 17423, + "æ´Ľ": 17424, + "mock": 17425, + "Ġpreserve": 17426, + "emic": 17427, + "éħįåIJĪ": 17428, + "Ġlimitations": 17429, + "ĠCountry": 17430, + "Ġturb": 17431, + "ĠStone": 17432, + "ountered": 17433, + "vd": 17434, + "ĠÐĵо": 17435, + "Ġ\"-": 17436, + "ĠWrite": 17437, + "Ġmetrics": 17438, + "Ãłss": 17439, + "Trace": 17440, + "Ġnomenat": 17441, + "ä¸įçĶ¨": 17442, + "anis": 17443, + "ugar": 17444, + "Ġvacuum": 17445, + "ĠGT": 17446, + "ometer": 17447, + "Ġsig": 17448, + "lace": 17449, + "Ġweekly": 17450, + "IPT": 17451, + "Ġesper": 17452, + "ĠÐijи": 17453, + "Ġconvex": 17454, + "-)": 17455, + "Ġoutstanding": 17456, + "ĠContent": 17457, + "ĠFern": 17458, + "меÑĢиканÑģки": 17459, + "ournament": 17460, + "æĺ¯ä»Ģä¹Ī": 17461, + "ampion": 17462, + "Ġassured": 17463, + "filename": 17464, + "å·¡": 17465, + "òl": 17466, + "åķ¦": 17467, + "ĠEspanya": 17468, + "ä¹Łè¦ģ": 17469, + "ĠCoast": 17470, + "ĠCircuit": 17471, + "Ġmétodo": 17472, + "èĿ": 17473, + "ĠLew": 17474, + "Ġseparation": 17475, + "Ġbitter": 17476, + "Ġdiver": 17477, + "Ġconten": 17478, + "ĠÐŁÐ¸": 17479, + "æľīæīĢ": 17480, + "sky": 17481, + "ington": 17482, + "AMP": 17483, + "Ġcuts": 17484, + "different": 17485, + "åı¯èĥ½ä¼ļ": 17486, + "ository": 17487, + "subject": 17488, + "段æŶéĹ´": 17489, + "estre": 17490, + "Microsoft": 17491, + "ĠJacob": 17492, + "estiu": 17493, + "Ġsmiled": 17494, + "ĠкогаÑĤо": 17495, + "Ġcruel": 17496, + "istered": 17497, + "release": 17498, + "ç»ĵå©ļ": 17499, + "LOCK": 17500, + "çĶŁçī©": 17501, + "Ġvalley": 17502, + "æĺĮ": 17503, + "inton": 17504, + "è®¤çľŁ": 17505, + "Ġlean": 17506, + "enabled": 17507, + "ĠBooks": 17508, + "lood": 17509, + "Java": 17510, + "Ġenvironments": 17511, + "Flags": 17512, + "database": 17513, + "Ġelectro": 17514, + "Ġvoltant": 17515, + "picker": 17516, + "è¿ģ": 17517, + "ĠGarden": 17518, + "éĹ¹": 17519, + "Scope": 17520, + "ĠÑĦÑĥÑĤбо": 17521, + "eixen": 17522, + "iciar": 17523, + "Ġrice": 17524, + "ãĢģãĢĬ": 17525, + "Ġadvers": 17526, + "owner": 17527, + "ĠKat": 17528, + "Ġshoulders": 17529, + "ĠPas": 17530, + "comb": 17531, + "dpkg": 17532, + "Aquest": 17533, + "Ġjuntament": 17534, + "Hello": 17535, + "wifi": 17536, + "lined": 17537, + "ĠMit": 17538, + "èn": 17539, + "Ġdiffer": 17540, + "Ġvarchar": 17541, + "Ġbehalf": 17542, + "shadow": 17543, + "çĪ¸çĪ¸": 17544, + "Ġcollaboration": 17545, + "Ġdifficulties": 17546, + "Ġrevers": 17547, + "Ġelegant": 17548, + "Ġlifetime": 17549, + "BP": 17550, + "è¿ijæĹ¥": 17551, + "Ġtie": 17552, + "едно": 17553, + "Ġsleeping": 17554, + "å°ıçļĦ": 17555, + "è¿«": 17556, + "Ġshots": 17557, + "ĠMall": 17558, + "ĠIslam": 17559, + "Cur": 17560, + "æ¤Ĵ": 17561, + "omes": 17562, + "Ġllanç": 17563, + "Ġscholar": 17564, + "Ġwaited": 17565, + "ĠStock": 17566, + "èmia": 17567, + "iable": 17568, + "åĽŀ家": 17569, + "Ġstupid": 17570, + "uli": 17571, + "ĠDor": 17572, + "课ç¨ĭ": 17573, + "лекÑģ": 17574, + "inate": 17575, + "ĠMacBook": 17576, + "browser": 17577, + "éĢłåŀĭ": 17578, + "respect": 17579, + "Ġfitness": 17580, + "ĠNorthern": 17581, + "ç»ıçIJĨ": 17582, + "Ġhid": 17583, + "filled": 17584, + "Ġmud": 17585, + "Ġneural": 17586, + "ĠDark": 17587, + "services": 17588, + "åįıè®®": 17589, + "Ġpixels": 17590, + "ĠGuard": 17591, + "ĠнÑıколко": 17592, + "cccc": 17593, + "ETH": 17594, + "reset": 17595, + "joint": 17596, + "Ġrenov": 17597, + "xes": 17598, + "Ġelabor": 17599, + "Ġtheories": 17600, + "inecraft": 17601, + "Ġdash": 17602, + "ĠÑİли": 17603, + "ĠGrant": 17604, + "Ġretir": 17605, + "bp": 17606, + "KS": 17607, + "ockets": 17608, + "ĠSilver": 17609, + "friendly": 17610, + "令人": 17611, + "Ġlip": 17612, + "ĠPrin": 17613, + "flags": 17614, + "Ġsyntax": 17615, + "inating": 17616, + "ĠSym": 17617, + "киÑı": 17618, + "Ġlumin": 17619, + "ĠкÑĢаÑı": 17620, + "Ġreveal": 17621, + "ÃĹ": 17622, + "ĠBan": 17623, + "Ġconstants": 17624, + "Ġ[\"": 17625, + "fre": 17626, + "Ġstayed": 17627, + "è¡£æľį": 17628, + "icht": 17629, + "itis": 17630, + "oche": 17631, + "ĠавгÑĥÑģÑĤ": 17632, + "ä¸ĸ纪": 17633, + "ĠOracle": 17634, + "ĠÑħи": 17635, + "Ġquiero": 17636, + "Ġsubstantial": 17637, + "rieved": 17638, + "æĮĩåĩº": 17639, + "è´¡": 17640, + "'])": 17641, + "Ġsovint": 17642, + "Ġbreat": 17643, + "Ġawk": 17644, + "ĠInput": 17645, + "islation": 17646, + "ĠProdu": 17647, + "istence": 17648, + "Ġholy": 17649, + "ymmetric": 17650, + "Ġtodos": 17651, + "忧": 17652, + "amped": 17653, + "Ġpaste": 17654, + "Ġrecommendations": 17655, + "owned": 17656, + "spect": 17657, + "ĠCambridge": 17658, + "Ġbags": 17659, + "Ġexpense": 17660, + "Ġextraordinary": 17661, + "Ġoven": 17662, + "Ġpul": 17663, + "arded": 17664, + "últ": 17665, + "Double": 17666, + "èĦ¾": 17667, + "fecha": 17668, + "ĠPract": 17669, + "VA": 17670, + "ÃŃcia": 17671, + "ĠChampions": 17672, + "Ġobtenir": 17673, + "Ġrepresentations": 17674, + "Statement": 17675, + "ĠImm": 17676, + "Ġgarage": 17677, + "Ġbatt": 17678, + "Ġ}}": 17679, + "ĠRegister": 17680, + "ä¸įçŁ¥": 17681, + "è¿ĺèĥ½": 17682, + "ĠвÑģиÑĩки": 17683, + "çIJĥåijĺ": 17684, + "Ġbacter": 17685, + "Ġdying": 17686, + "ĠJr": 17687, + "alles": 17688, + "govern": 17689, + "ĠDer": 17690, + "expect": 17691, + "ĠмÑĥзи": 17692, + "æıIJåīį": 17693, + "è¿Ŀæ³ķ": 17694, + "gered": 17695, + "sea": 17696, + "ĠLoc": 17697, + "Plan": 17698, + "Ġain": 17699, + "rug": 17700, + "Ġdevoted": 17701, + "auses": 17702, + "ĠResource": 17703, + "å°º": 17704, + "ĠPolice": 17705, + "åħ¬åĽŃ": 17706, + "Ġaffili": 17707, + "Success": 17708, + "Ġcotton": 17709, + "isy": 17710, + "ĠÑĥнивеÑĢÑģиÑĤеÑĤ": 17711, + "rank": 17712, + "åī©": 17713, + "ĠJob": 17714, + "çģ°": 17715, + "Ġseria": 17716, + "å£ģ": 17717, + "Ġbeds": 17718, + "Ġfitted": 17719, + "Ġconstitu": 17720, + "Ġconsulta": 17721, + "åĿĽ": 17722, + "Ġconvenience": 17723, + "æĺİçĻ½": 17724, + "Ġlibraries": 17725, + "ĠØ": 17726, + "ĠRemove": 17727, + "ĠVAR": 17728, + "Ġattorney": 17729, + "kh": 17730, + "oren": 17731, + "jango": 17732, + "incipal": 17733, + "ĉint": 17734, + "eld": 17735, + "ĠFarm": 17736, + "limited": 17737, + "ĠKim": 17738, + "DER": 17739, + "Ġprotagon": 17740, + "Ġtodo": 17741, + "Ġtent": 17742, + "Ġtransportation": 17743, + "ÐłÐ¾Ð´ÐµÐ½Ð¸": 17744, + "aska": 17745, + "Ġposter": 17746, + "ĠRadio": 17747, + "ĠUr": 17748, + "ĠCos": 17749, + "ĠмаÑĢÑĤ": 17750, + "Simple": 17751, + "Ġexpanded": 17752, + "Ġentitled": 17753, + "geon": 17754, + "sex": 17755, + "Ġfecha": 17756, + "Ġdecade": 17757, + "Ġaston": 17758, + "Global": 17759, + "Ġbay": 17760, + "iversity": 17761, + "Ġsolving": 17762, + "consider": 17763, + "Ġstake": 17764, + "é»Ħéĩij": 17765, + "elli": 17766, + "ĠMichigan": 17767, + "èį¡": 17768, + "Ñģни": 17769, + "agra": 17770, + "Ġignored": 17771, + "äºı": 17772, + "asted": 17773, + "Ġeleccions": 17774, + "Ġairport": 17775, + "å¿ĹæĦ¿": 17776, + "prove": 17777, + "wrapper": 17778, + "Ġcodigo": 17779, + "кон": 17780, + "protobuf": 17781, + "Ġfeaturing": 17782, + "Ġpreparing": 17783, + "Ġcloth": 17784, + "Ġub": 17785, + "apsed": 17786, + "кÑĢÑĬ": 17787, + "Elements": 17788, + "lp": 17789, + "audio": 17790, + "Ġbull": 17791, + "ĠGab": 17792, + "åĩºçīĪ": 17793, + "Ġ[\\": 17794, + "Ġbone": 17795, + "ordinate": 17796, + "称为": 17797, + "ĠÐļаÑĢ": 17798, + "åħ¬å¸ĥ": 17799, + "大å¤ļæķ°": 17800, + "Ġloyal": 17801, + "rf": 17802, + "ÑĢиÑģÑĤо": 17803, + "Ġflows": 17804, + "æĬķèµĦèĢħ": 17805, + "ividual": 17806, + "ĠСÐIJЩ": 17807, + "æĭľ": 17808, + "Ġtrasll": 17809, + "å¦Ĩ": 17810, + "ĠPCB": 17811, + "Ġmeals": 17812, + "仿": 17813, + "moz": 17814, + "Ġsystemd": 17815, + "æľĢ好çļĦ": 17816, + "ä¸ĢæĿ¡": 17817, + ")-\\": 17818, + "larg": 17819, + "Ġguilty": 17820, + "碰": 17821, + "herited": 17822, + "é¢Ħ计": 17823, + "Ġcoefficient": 17824, + "typeof": 17825, + "ĠÑİни": 17826, + "Ġpixel": 17827, + "Ġintervals": 17828, + "ä¾ĽåºĶ": 17829, + "çºł": 17830, + "conn": 17831, + "åIJ¨": 17832, + "ĠCommunic": 17833, + "Password": 17834, + "Never": 17835, + "天æ°Ķ": 17836, + "Ġextens": 17837, + "iii": 17838, + "ĠFerr": 17839, + "广大": 17840, + "Ġdense": 17841, + "Ġspots": 17842, + "FP": 17843, + "Ġfiled": 17844, + "éĶĢéĩı": 17845, + "ĠCrist": 17846, + "ĠÑĥпÑĢав": 17847, + "ĠISO": 17848, + "ellite": 17849, + "Ġconstitution": 17850, + "è§Ĥå¯Ł": 17851, + "fon": 17852, + "aki": 17853, + "ĠEntre": 17854, + "Space": 17855, + "éĺ²æݧ": 17856, + "Sun": 17857, + "ĠRequest": 17858, + "Ġfaculty": 17859, + "sembl": 17860, + "ç»ĦæĪIJ": 17861, + "Ġguaranteed": 17862, + "displaystyle": 17863, + "compat": 17864, + "Ġpredictions": 17865, + "åħ¬åı¸çļĦ": 17866, + "Ġhistoric": 17867, + "Ġaffection": 17868, + "Ġanalyze": 17869, + "ä»įçĦ¶": 17870, + "Ġobl": 17871, + "Ġswing": 17872, + "Ġnecessity": 17873, + "Register": 17874, + "ĠLabor": 17875, + "Ġraising": 17876, + "ĠLearning": 17877, + "ĠPur": 17878, + "Ġfaced": 17879, + "ĠPL": 17880, + "天çļĦ": 17881, + "Ġhaz": 17882, + "емвÑĢи": 17883, + "Ġstrain": 17884, + "Feb": 17885, + "ĠSave": 17886, + "Ġsimultaneously": 17887, + "ònic": 17888, + "Ġcher": 17889, + "Ġenjoying": 17890, + "Ġaquestes": 17891, + "Ġletting": 17892, + "Ġ],": 17893, + "Ġnvidia": 17894, + "æĮĩæķ°": 17895, + "ĠVALUES": 17896, + "ĠнамиÑĢа": 17897, + "MOD": 17898, + "ĠBesides": 17899, + "Ġinduct": 17900, + "DEX": 17901, + "ierra": 17902, + "Ġcabinet": 17903, + "åĨħéĥ¨": 17904, + "åIJ¯åĬ¨": 17905, + "jack": 17906, + "Ġexplos": 17907, + "ĠакÑĤ": 17908, + "Ġcontinuing": 17909, + "ç©´": 17910, + "undo": 17911, + "ĠIE": 17912, + "ĉĉĉĉĉĉĉ": 17913, + "коно": 17914, + "ĠArg": 17915, + "Tw": 17916, + "Ok": 17917, + "Ġtrium": 17918, + "/(": 17919, + "åıįåºĶ": 17920, + "External": 17921, + "å¹¼åĦ¿": 17922, + "pn": 17923, + "apar": 17924, + "Ġcrystal": 17925, + "ĠдÑĬÑīеÑĢ": 17926, + "ĠоÑģÑĤÑĢо": 17927, + "Ġfloating": 17928, + "ĠpÅĻ": 17929, + "SSERT": 17930, + "ĠÐĶа": 17931, + "Ġlogging": 17932, + "Ãłcies": 17933, + "Ġwestern": 17934, + "Ġkingdom": 17935, + "protected": 17936, + "omy": 17937, + "fish": 17938, + "Ġdeveloper": 17939, + "ĠFab": 17940, + "Ġprocés": 17941, + "Ġmovements": 17942, + "å®ħ": 17943, + "两人": 17944, + "Ġorbit": 17945, + "Ġmuscle": 17946, + "Ġcookies": 17947, + "解éĩĬ": 17948, + "Ġassignment": 17949, + "ĠKh": 17950, + "Ġcelebrate": 17951, + "Ġseeds": 17952, + "ĠNC": 17953, + "Ġ\"_": 17954, + "nat": 17955, + "Ġresort": 17956, + "å°±ä¸ļ": 17957, + "Ġtense": 17958, + "Ġdemonstrated": 17959, + "Ġhealthcare": 17960, + "миÑĤе": 17961, + "uals": 17962, + "åŀĥ": 17963, + "泪": 17964, + "æ±ģ": 17965, + "ä¹ĭéĹ´çļĦ": 17966, + "parts": 17967, + "ĉ.": 17968, + "cu": 17969, + "typed": 17970, + "ĠWind": 17971, + "ĠKingdom": 17972, + "éĩįè§Ĩ": 17973, + "Ġsatur": 17974, + "Ġmarry": 17975, + "Ġintense": 17976, + "Reading": 17977, + "ника": 17978, + "姻": 17979, + "INFO": 17980, + "åľ¾": 17981, + "fg": 17982, + "ĠÐĵеÑĢ": 17983, + "ĠDatabase": 17984, + "ĠнаÑĥ": 17985, + "Ġexterior": 17986, + "XML": 17987, + "Ġshade": 17988, + "ĠLeon": 17989, + "Ġinstanceof": 17990, + "Ġparam": 17991, + "Ġreadily": 17992, + "åŀĥåľ¾": 17993, + "Ġquasi": 17994, + "ĠFeder": 17995, + "ĠапÑĢил": 17996, + "Ġunlike": 17997, + "Ġintens": 17998, + "ĠMOS": 17999, + "èria": 18000, + "Ġvalores": 18001, + "Ġstriking": 18002, + "表达": 18003, + "Ġovers": 18004, + "progress": 18005, + "Ġlistener": 18006, + "çľĭæĿ¥": 18007, + "variant": 18008, + "Ġequality": 18009, + "ĠDouble": 18010, + "TT": 18011, + "Ġattempted": 18012, + "fulness": 18013, + "('.": 18014, + "utat": 18015, + "åĬ¨çī©": 18016, + "Ġbelieves": 18017, + "ĠнаÑĩалоÑĤо": 18018, + "Ġrefere": 18019, + "è¿ĺåľ¨": 18020, + "дон": 18021, + "yset": 18022, + "ĠÐIJв": 18023, + "Ġcarrer": 18024, + "ĠMaj": 18025, + "виÑıÑĤ": 18026, + "symbol": 18027, + "ĠMD": 18028, + "Pattern": 18029, + "raq": 18030, + "Ġsimplicity": 18031, + "Ġarise": 18032, + "oven": 18033, + "è·ĥ": 18034, + "дел": 18035, + "Ġfewer": 18036, + "ĠEngineering": 18037, + "æĭĴ": 18038, + "Ġdisturb": 18039, + "Ġabroad": 18040, + "Ġbash": 18041, + "overty": 18042, + "dialog": 18043, + "Ġcircuits": 18044, + "ĠPow": 18045, + "Ġdissip": 18046, + "Apple": 18047, + "ĠBus": 18048, + "Ġpriest": 18049, + "Ġfired": 18050, + "Ч": 18051, + "ĉelse": 18052, + "Ġwires": 18053, + "Ġrevel": 18054, + "Ġquietly": 18055, + "ĠCC": 18056, + "Ġvista": 18057, + "Ġhadn": 18058, + "Ġghost": 18059, + "////////////////////////////////": 18060, + "chers": 18061, + "ĠобÑīина": 18062, + "å®ŀåľ¨": 18063, + "Ãłmide": 18064, + "Ġasync": 18065, + "Ġunes": 18066, + "ycle": 18067, + "éĿĴå¹´": 18068, + "ä»Ķ": 18069, + "é©»": 18070, + "blockList": 18071, + "mk": 18072, + "ĠME": 18073, + "setup": 18074, + "墨": 18075, + "hang": 18076, + "erver": 18077, + "Lem": 18078, + "æĻ¯åĮº": 18079, + "ĠJewish": 18080, + "Ġwand": 18081, + "ĠMess": 18082, + "pic": 18083, + "Ġmild": 18084, + "çļĦä¸į": 18085, + "ĠvÃŃ": 18086, + "Ġmetall": 18087, + "Ġpartnership": 18088, + "第ä¸Ģ次": 18089, + "Ġcarrera": 18090, + "Ġarrangement": 18091, + "orer": 18092, + "ĠTraining": 18093, + "даÑĤ": 18094, + "aro": 18095, + "ÑģÑĤÑĢи": 18096, + "ĠSpacewatch": 18097, + "prev": 18098, + "ardon": 18099, + "hadoop": 18100, + "arding": 18101, + "èĩ³å°ij": 18102, + "Ġsouthern": 18103, + "Ġseparately": 18104, + "Try": 18105, + "ĠФи": 18106, + "Ġtriple": 18107, + "Ġpacket": 18108, + "()).": 18109, + "ÑĬз": 18110, + "Ġreck": 18111, + "Ġalgo": 18112, + "Ġforecast": 18113, + "Ġactives": 18114, + "paragraph": 18115, + "Ġgrounds": 18116, + "covery": 18117, + "estab": 18118, + "sent": 18119, + "Ġartificial": 18120, + "æıı": 18121, + "Ġcig": 18122, + "Por": 18123, + "ĠоÑĤкÑĢи": 18124, + "ĠHTTP": 18125, + "Ġcomunic": 18126, + "Ġloads": 18127, + "ĠÃī": 18128, + "Ġhack": 18129, + "ĠTax": 18130, + "Proxy": 18131, + "configuration": 18132, + "inos": 18133, + "è§Ĵ度": 18134, + "Ġbrothers": 18135, + "uty": 18136, + "Ġstunning": 18137, + "orical": 18138, + "Ġsurfaces": 18139, + "groups": 18140, + "Ġforb": 18141, + "éĢĨ": 18142, + "å¤ļäºĨ": 18143, + "oly": 18144, + "ilus": 18145, + "Services": 18146, + "é¢ľèī²": 18147, + "Stand": 18148, + "Ġnorthern": 18149, + "Transform": 18150, + "Ġspare": 18151, + "Ġgraduate": 18152, + "UND": 18153, + "æľĢä½³": 18154, + "Ġ----": 18155, + "ònica": 18156, + "HA": 18157, + "åİŁæĿ¥": 18158, + "Segons": 18159, + "Ġdesenvolupament": 18160, + "ç¨į": 18161, + "è²Į": 18162, + "scription": 18163, + "Ġfart": 18164, + "ĠBrother": 18165, + "软件": 18166, + "agle": 18167, + "Ġinferior": 18168, + "ĠForce": 18169, + "Ġfifth": 18170, + "Ġembedded": 18171, + "лан": 18172, + "ĠController": 18173, + "Ġpowered": 18174, + "happy": 18175, + "Ġcoupled": 18176, + "ĠANY": 18177, + "Ġfindings": 18178, + "пÑĢеде": 18179, + "çĻ»è®°": 18180, + "Ġencountered": 18181, + "ĠноемвÑĢи": 18182, + "AAAA": 18183, + "mouth": 18184, + "кемвÑĢи": 18185, + "å®ŀéªĮ": 18186, + "iere": 18187, + "Ġgrec": 18188, + "è®°å¾Ĺ": 18189, + "_(": 18190, + "built": 18191, + "æŀª": 18192, + "atori": 18193, + "Fun": 18194, + "æĭĨ": 18195, + "ĠпиÑģа": 18196, + "Ġcmd": 18197, + "æİĮæı¡": 18198, + "âĶĢâĶĢâĶĢâĶĢ": 18199, + "Ġotro": 18200, + "Ġbrave": 18201, + "etts": 18202, + "ç±į": 18203, + "oping": 18204, + "æµĻ": 18205, + "autom": 18206, + "ĠBuilding": 18207, + "Ġstones": 18208, + "è¿ĺä¼ļ": 18209, + "Ġmoltes": 18210, + "Ġlegit": 18211, + "å¤ļå¹´": 18212, + "flat": 18213, + "handler": 18214, + "urer": 18215, + "æ¯ıå¹´": 18216, + "annotation": 18217, + "дÑĬÑĤ": 18218, + "hentication": 18219, + "ĠjQuery": 18220, + "ĠAddress": 18221, + "Ġrelació": 18222, + "ĠLiter": 18223, + "Ġposting": 18224, + "волÑİ": 18225, + "ĠLanguage": 18226, + "ĠIran": 18227, + "idx": 18228, + "æݨåĩº": 18229, + "尽管": 18230, + "bigl": 18231, + "ä¼Ļä¼´": 18232, + "Ġopposition": 18233, + "Ġparticipar": 18234, + "Sync": 18235, + "ĠOlymp": 18236, + "another": 18237, + "Internal": 18238, + "ifle": 18239, + "Ġhotels": 18240, + "tl": 18241, + "theme": 18242, + "ĠAnderson": 18243, + "æĽ´å¥½": 18244, + "amaz": 18245, + "Ġshook": 18246, + "Ġvalidation": 18247, + "ç½Ĺæĸ¯": 18248, + "ÑĢабо": 18249, + "Ġtransmit": 18250, + "ĠбÑĢо": 18251, + "Ġrust": 18252, + "Ġfake": 18253, + "ĠDone": 18254, + "Ġvendor": 18255, + "metre": 18256, + "Ġhabits": 18257, + "ellers": 18258, + "speed": 18259, + "Ġfos": 18260, + "ál": 18261, + "arry": 18262, + "ĠCopyright": 18263, + "question": 18264, + "Ġfonts": 18265, + "ATED": 18266, + "ä¸ŃåĮ»": 18267, + "Ġscenarios": 18268, + "ĠHE": 18269, + "Ġisolated": 18270, + "esian": 18271, + "ku": 18272, + "ĠPak": 18273, + "isting": 18274, + "Ġdeliber": 18275, + "ĠLiving": 18276, + "ваÑĢ": 18277, + "Ġheaders": 18278, + "asil": 18279, + "Ġpoetry": 18280, + "гаÑĤа": 18281, + "Ġrational": 18282, + "Ġinjuries": 18283, + "Ġguidelines": 18284, + "Ġrendered": 18285, + "Ġjoc": 18286, + "Ġhunt": 18287, + "Ġcanvas": 18288, + "线ä¸Ĭ": 18289, + "still": 18290, + "Ġforeach": 18291, + "åĩºæĿ¥çļĦ": 18292, + "iah": 18293, + "éªij": 18294, + "ĠDivision": 18295, + "rov": 18296, + "}({\\": 18297, + "Ġaccomplished": 18298, + "ĉm": 18299, + "Ġdisag": 18300, + "Ġmaintaining": 18301, + "ĠStephen": 18302, + "Ġiv": 18303, + "mate": 18304, + "è¾ī": 18305, + "dal": 18306, + "Ġdashed": 18307, + "æ£Ģæµĭ": 18308, + "Love": 18309, + "竹": 18310, + "ĠgermÃł": 18311, + "ylvan": 18312, + "ĠÑģелоÑĤо": 18313, + "Ġacquire": 18314, + "Ġattr": 18315, + "reu": 18316, + "iley": 18317, + "Ġjack": 18318, + "æĨ": 18319, + "ĠChannel": 18320, + "Ġspirits": 18321, + "Ġdoctors": 18322, + "plane": 18323, + "Ġbent": 18324, + "marks": 18325, + "æ¸ł": 18326, + "Ġescriure": 18327, + "ĠHolly": 18328, + "ĠBaix": 18329, + "Sql": 18330, + "bigr": 18331, + "anomen": 18332, + "ĠAmong": 18333, + "Ġпло": 18334, + "Ġcarpet": 18335, + "iamond": 18336, + "Ġreplacing": 18337, + "Ġdatabases": 18338, + "Ġstaying": 18339, + "Ġpointing": 18340, + "ĠÑĢека": 18341, + "issa": 18342, + "ĠголÑı": 18343, + "sequently": 18344, + "Ġzip": 18345, + "Ġrecipes": 18346, + "ROUP": 18347, + "Ġgenuine": 18348, + "æ¡Į": 18349, + "Ġls": 18350, + "rob": 18351, + "ĠAnth": 18352, + "Ġpedra": 18353, + "нал": 18354, + "wed": 18355, + "Ġclubs": 18356, + "ĠBeing": 18357, + "Ġrevis": 18358, + "Ġincreasingly": 18359, + "Events": 18360, + "hum": 18361, + "ä¸Ģå®ļçļĦ": 18362, + "Ġshapes": 18363, + "ocar": 18364, + "sil": 18365, + "Generic": 18366, + "Ġocupats": 18367, + "éļ¾ä»¥": 18368, + "enders": 18369, + "ÑĪен": 18370, + "Ġcorrection": 18371, + "æĸij": 18372, + "Ġbaixa": 18373, + "suff": 18374, + "ĠдекемвÑĢи": 18375, + "Stud": 18376, + "Ġintellectual": 18377, + "ĠSound": 18378, + "å®īè£ħ": 18379, + "Ġembar": 18380, + "ĠValència": 18381, + "Ġconsisting": 18382, + "åĪºæ¿Ģ": 18383, + "Ġced": 18384, + "ÐijиогÑĢаÑĦиÑı": 18385, + "ĠAud": 18386, + "Ġgently": 18387, + "Ġgates": 18388, + "åĩłå¹´": 18389, + "Attributes": 18390, + "deep": 18391, + "Ġinverse": 18392, + "keep": 18393, + "è¢ĭ": 18394, + "Ġsoldier": 18395, + "Ġsequences": 18396, + "atted": 18397, + "Ġtube": 18398, + "peg": 18399, + "Ġprovision": 18400, + "Ġevaluated": 18401, + "sets": 18402, + "ä¹Łå°±": 18403, + "esh": 18404, + "Ġversió": 18405, + "algorithm": 18406, + "ĠSales": 18407, + "rab": 18408, + "æĸ¤": 18409, + "prefix": 18410, + "ür": 18411, + "ika": 18412, + "Ġflood": 18413, + "ĠTree": 18414, + "urches": 18415, + "Ġscrap": 18416, + "Ġsituada": 18417, + "Ġstain": 18418, + "ĠInteg": 18419, + "errors": 18420, + "Ġqueen": 18421, + "Ġpossibilities": 18422, + "æľŁå¾ħ": 18423, + "liments": 18424, + "coq": 18425, + "ĠBurn": 18426, + "Fail": 18427, + "Ġoutcomes": 18428, + "Ġresidential": 18429, + "Ġindicating": 18430, + "нали": 18431, + "Ġmilit": 18432, + "Real": 18433, + "èĤ©": 18434, + "Ġdismiss": 18435, + "ensis": 18436, + "Ġdivor": 18437, + "å¹³æŶ": 18438, + "Ġelectricity": 18439, + "contains": 18440, + "åĪ¤æĸŃ": 18441, + "Plugin": 18442, + "Ġquit": 18443, + "launch": 18444, + "ĠÑģиÑģÑĤе": 18445, + "Ġlifestyle": 18446, + "erca": 18447, + "Ġchamber": 18448, + "program": 18449, + "Ġresidence": 18450, + "Logger": 18451, + "Ġsecre": 18452, + "æĢģ度": 18453, + "ej": 18454, + "VENT": 18455, + "ĠÐĽÐ¾": 18456, + "Ġtries": 18457, + "iated": 18458, + "storage": 18459, + "issues": 18460, + "æľ¬æ¬¡": 18461, + "Ġsempre": 18462, + "Ġstopping": 18463, + "强çļĦ": 18464, + "Després": 18465, + "游客": 18466, + "LINE": 18467, + "Ġrecept": 18468, + "gz": 18469, + "Ġstranger": 18470, + "åĿ¡": 18471, + "profit": 18472, + "ionic": 18473, + "Ġwore": 18474, + "bros": 18475, + "Ġkilling": 18476, + "åįıä¼ļ": 18477, + "Ġgender": 18478, + "Such": 18479, + "Ġgrups": 18480, + "Ġplural": 18481, + "Ġobjeto": 18482, + "sample": 18483, + "Ġплани": 18484, + "Ġul": 18485, + "Ġdifferently": 18486, + "Ġelder": 18487, + "Ġblanc": 18488, + "æıIJéĨĴ": 18489, + "Wait": 18490, + "tz": 18491, + "achusetts": 18492, + "rass": 18493, + "illes": 18494, + "ambling": 18495, + "ĠPresent": 18496, + "æīĢæľīçļĦ": 18497, + "fx": 18498, + "Ġdollar": 18499, + "ĠGree": 18500, + "commit": 18501, + "Ġdrama": 18502, + "Ñĩо": 18503, + "Ġundert": 18504, + "Ġespecialment": 18505, + "æĹ¥åŃIJ": 18506, + "ĠÑĢай": 18507, + "ĠExecutive": 18508, + "spl": 18509, + "external": 18510, + "Black": 18511, + "Ġsla": 18512, + "ä¸ŃåĽ½çļĦ": 18513, + "ĠPri": 18514, + "ĠStory": 18515, + "ĠSW": 18516, + "Ġvisits": 18517, + "Ġxmlns": 18518, + "ä¸ĭåİ»": 18519, + "Ġservant": 18520, + "Ġblame": 18521, + "åIJIJ": 18522, + "Ġpromot": 18523, + "Ġfiber": 18524, + "зон": 18525, + "Ġprocessed": 18526, + "ä¸ĭäºĨ": 18527, + "Ġsubstance": 18528, + "ĠZealand": 18529, + "ÑĤали": 18530, + "ĠExample": 18531, + "Ġtrusted": 18532, + "Ġrepart": 18533, + "è°ĭ": 18534, + "Common": 18535, + "деÑĢ": 18536, + "Ġordering": 18537, + "ĠColorado": 18538, + "åĨłåĨĽ": 18539, + "OB": 18540, + "轨": 18541, + "Help": 18542, + "ĠÑĤÑĬÑĢ": 18543, + "ĠSimon": 18544, + "æĻ¶": 18545, + "Ġcorrespon": 18546, + "mean": 18547, + "ĠJustice": 18548, + "avid": 18549, + "械": 18550, + "ĠAdvanced": 18551, + "scar": 18552, + "ordre": 18553, + "鸣": 18554, + "utable": 18555, + "ĠÐĵеоÑĢ": 18556, + "throw": 18557, + ")));": 18558, + "Ġpartly": 18559, + "![": 18560, + "follow": 18561, + "ç»ıåħ¸": 18562, + "æĶ¾å¼ĥ": 18563, + "Selected": 18564, + "Lab": 18565, + "Ġhabitatge": 18566, + "ĠAdditionally": 18567, + "åīij": 18568, + "hon": 18569, + "iot": 18570, + "Ġcasual": 18571, + "ĠApache": 18572, + "edu": 18573, + "æĿĨ": 18574, + "Ġfal": 18575, + "tery": 18576, + "她们": 18577, + "леÑĤ": 18578, + "Ġcadena": 18579, + "Ġpressing": 18580, + "æĭĵ": 18581, + "nothing": 18582, + "Ġquedar": 18583, + "Ġenergies": 18584, + "ÑĢÑĬÑĨ": 18585, + "Ġprize": 18586, + "inery": 18587, + "aused": 18588, + "å½ĵåīį": 18589, + "åĵªäºĽ": 18590, + "Ġanger": 18591, + "ĠTol": 18592, + "æĢĿèĢĥ": 18593, + "ĠDisney": 18594, + "period": 18595, + "ogram": 18596, + "Ġdenomin": 18597, + "è¿Ļä½į": 18598, + "Sur": 18599, + "Keys": 18600, + "far": 18601, + "Ġedats": 18602, + "Import": 18603, + "å¿ł": 18604, + "Ġscored": 18605, + "requency": 18606, + "Category": 18607, + "ilo": 18608, + "Ġdenoted": 18609, + "Ġsq": 18610, + "æ±Ĺ": 18611, + "Ġimagination": 18612, + "ĠRA": 18613, + "Ġgym": 18614, + "Ġassass": 18615, + "Ġestabliments": 18616, + "Ġseleccion": 18617, + "ĠThink": 18618, + "Ġestudis": 18619, + "Ġcounts": 18620, + "Ġstrategic": 18621, + "ĠBab": 18622, + "wave": 18623, + "æĭĶ": 18624, + "Ġедно": 18625, + "Ġconstit": 18626, + "å°ĺ": 18627, + "ĠMail": 18628, + "ĠTravel": 18629, + "CLA": 18630, + "ĠGPU": 18631, + "æĮ¡": 18632, + "æŃ»äº¡": 18633, + "Ġencouraged": 18634, + "nor": 18635, + "TIME": 18636, + "adows": 18637, + "Ġssh": 18638, + "Ġdiameter": 18639, + "åģ·": 18640, + "éu": 18641, + "Ġspell": 18642, + "Ġcompass": 18643, + "Ġliberty": 18644, + "Ġaggress": 18645, + "ĠкÑĢÑĬ": 18646, + "Ġtimeout": 18647, + "Initial": 18648, + "Ġ%}": 18649, + "çĽijçĿ£": 18650, + "Ġpepper": 18651, + "ĠMuseu": 18652, + "Ġbrush": 18653, + "页": 18654, + "ourt": 18655, + "ĠдÑĬÑīеÑĢÑı": 18656, + ",...": 18657, + "isp": 18658, + "Ġgit": 18659, + "ĠSom": 18660, + "Ġcreature": 18661, + "Ġcogn": 18662, + "{[": 18663, + "Ġnewspaper": 18664, + "Ġ];": 18665, + "ĠHeart": 18666, + "Ġcopyright": 18667, + "Ġconeguda": 18668, + "Ġdivide": 18669, + "alsevol": 18670, + "submit": 18671, + "jet": 18672, + "Ġpole": 18673, + "ĠDR": 18674, + "packages": 18675, + "еÑĢа": 18676, + "Ġexpectation": 18677, + "lah": 18678, + "lyn": 18679, + "Intern": 18680, + "Ġvisitor": 18681, + "ounding": 18682, + "ĠChap": 18683, + "Ġtitles": 18684, + "èݱ": 18685, + "Runtime": 18686, + "ÑģÑĤÑĬÑĢ": 18687, + "ĠкÑĥл": 18688, + "Ġscratch": 18689, + "Ġпол": 18690, + "Ġfulfill": 18691, + "Could": 18692, + "localhost": 18693, + "Ġ{'": 18694, + "ĠPrivate": 18695, + "åıĺæĪIJ": 18696, + "Ġgel": 18697, + "Ġrecol": 18698, + "Audio": 18699, + "Ġcobert": 18700, + "Ġdare": 18701, + "æĪ¿åŃIJ": 18702, + "generated": 18703, + "Ġоби": 18704, + "ĠSmart": 18705, + "'\"": 18706, + "åģļæ³ķ": 18707, + "Ġderive": 18708, + "Ġwithdraw": 18709, + "Ġдве": 18710, + "ANCE": 18711, + "pany": 18712, + "idity": 18713, + "女åŃ©": 18714, + "ĠĠĠĠĠĠ$": 18715, + "woman": 18716, + "æ»ĭ": 18717, + "Ġceremony": 18718, + "ĠPast": 18719, + "Ġfilla": 18720, + "绿èī²": 18721, + "çİ°åľ¨çļĦ": 18722, + "æī°": 18723, + "æĽ¼": 18724, + "éĻĦè¿ij": 18725, + "assets": 18726, + "ĠPla": 18727, + "Cam": 18728, + "веде": 18729, + "acco": 18730, + "ydney": 18731, + "English": 18732, + "家人": 18733, + "å¸ħ": 18734, + "Ġarrow": 18735, + "Ġurg": 18736, + "Ġinternacional": 18737, + "åŀĭçļĦ": 18738, + "Ġdistinguished": 18739, + "{\"": 18740, + "Syntax": 18741, + "Ġstats": 18742, + "Ġhac": 18743, + "ĠDeath": 18744, + "Ġranges": 18745, + "å®ļçļĦ": 18746, + "æĦıåij³": 18747, + "conv": 18748, + "Ġcyl": 18749, + "ĠBang": 18750, + "nm": 18751, + "Ñĥдо": 18752, + "stairs": 18753, + "hell": 18754, + "Ġgene": 18755, + "giving": 18756, + "Ġexamination": 18757, + "urable": 18758, + "ĠFirefox": 18759, + "Would": 18760, + "Ġese": 18761, + "ĠAudio": 18762, + "åĨľæ°ij": 18763, + "Ġdistinguish": 18764, + "itÃł": 18765, + "åįĬå¹´": 18766, + "ÃŃcie": 18767, + "ucions": 18768, + "conomia": 18769, + "aten": 18770, + "æĶ¯æĴij": 18771, + "ÃŃfic": 18772, + "Ġoc": 18773, + "Ġqualsevol": 18774, + "bridge": 18775, + "Ġvolunt": 18776, + "Profile": 18777, + "ı": 18778, + "Ġstruggling": 18779, + "é¬": 18780, + "ä½ĵçİ°": 18781, + "ĠInteger": 18782, + "details": 18783, + "ĠChapter": 18784, + "Ġdiu": 18785, + "ĠBuy": 18786, + "ĠпоÑģлед": 18787, + "igues": 18788, + "aration": 18789, + "Ġunlikely": 18790, + "ĠSong": 18791, + "éķ¿çļĦ": 18792, + "å¹³æĸ¹": 18793, + "idos": 18794, + "Ġinactives": 18795, + "wiki": 18796, + "Ġfed": 18797, + "Ġbast": 18798, + "ĠForest": 18799, + "OWN": 18800, + "Ġearnest": 18801, + "Ġnervous": 18802, + "ĠRon": 18803, + "atz": 18804, + "Ġclever": 18805, + "always": 18806, + "Ġpacked": 18807, + "ĠYe": 18808, + "ortion": 18809, + "ĠSummer": 18810, + "å£°éŁ³": 18811, + "ministració": 18812, + "ÑĦиÑĨиал": 18813, + "ĠStudies": 18814, + "Ġscripts": 18815, + "çļĦåİŁåĽł": 18816, + "Ġrolling": 18817, + "Ġobliged": 18818, + "Ġdeclare": 18819, + "Ġintegrity": 18820, + "Ġsalv": 18821, + "izza": 18822, + "å·¥åħ·": 18823, + "Ġviolent": 18824, + "Ġaims": 18825, + "ilet": 18826, + "æݥ触": 18827, + "ĠRow": 18828, + "åľ¨äºİ": 18829, + "åĸ·": 18830, + "пеÑĢ": 18831, + "evin": 18832, + "ÐĺÑģÑĤоÑĢиÑı": 18833, + "need": 18834, + "å©ļ姻": 18835, + "ĠStatus": 18836, + "Ġmeasuring": 18837, + "()));": 18838, + "Ġequilibrium": 18839, + "åħ´è¶£": 18840, + "Ġincrement": 18841, + "educ": 18842, + "Ġlegislation": 18843, + "ĠSquare": 18844, + "Ġ./": 18845, + "vee": 18846, + "lÃł": 18847, + "让æĪij们": 18848, + "origen": 18849, + "ibu": 18850, + "RED": 18851, + "ĠSwed": 18852, + "æĸĩ件": 18853, + "æĬ¥åIJį": 18854, + "Ġtiming": 18855, + "assertEqual": 18856, + "Ġphrases": 18857, + "Ġentropy": 18858, + "æĹº": 18859, + "ĠSel": 18860, + "好äºĨ": 18861, + "ÑīеÑģÑĤ": 18862, + "hook": 18863, + "tbody": 18864, + "Ġdivine": 18865, + "JS": 18866, + "å¸Ĥæ°ij": 18867, + "Ġdishes": 18868, + "Ġneighbors": 18869, + "components": 18870, + "джи": 18871, + "大ä¼Ĺ": 18872, + "Ġbones": 18873, + "Duration": 18874, + "对象": 18875, + "Ġchairs": 18876, + "Ġgotten": 18877, + "Ġidentification": 18878, + "amic": 18879, + "ĠBridge": 18880, + "standard": 18881, + "uny": 18882, + "lesssim": 18883, + "Ġweren": 18884, + "ä¸ĬéĿ¢": 18885, + "ĠÅ": 18886, + "Ġalem": 18887, + "sens": 18888, + "ĠProp": 18889, + "Ġhosts": 18890, + "è¿ĩçļĦ": 18891, + "hend": 18892, + "Ġdatasheet": 18893, + "Ġdominant": 18894, + "arance": 18895, + "IDE": 18896, + "éĥŃ": 18897, + "checkbox": 18898, + "ndef": 18899, + "respons": 18900, + "Ġancest": 18901, + "Ġpersonality": 18902, + "ĠOs": 18903, + "ĠBerlin": 18904, + "ĠÐĽÐ°": 18905, + "强è°ĥ": 18906, + "Ġphotograp": 18907, + "Ġfug": 18908, + "INSEE": 18909, + "iking": 18910, + "Ġmanagers": 18911, + "sure": 18912, + "Div": 18913, + "è´Łè´£äºº": 18914, + "Ġdamaged": 18915, + "thernet": 18916, + "ein": 18917, + "iri": 18918, + "ниÑĨа": 18919, + "Biografia": 18920, + "bytes": 18921, + "èĢħçļĦ": 18922, + "ĠReact": 18923, + "GER": 18924, + "izers": 18925, + "ĠInf": 18926, + "Ġswift": 18927, + "ĠConstant": 18928, + "ĠIM": 18929, + "ĠElement": 18930, + "èĪ°": 18931, + "Ġhypothesis": 18932, + "ĠHeaven": 18933, + "Ġvariant": 18934, + "ĠUnió": 18935, + "Ġpursu": 18936, + "Ġpublicar": 18937, + "ĠTab": 18938, + "ĠCu": 18939, + "Ġhorizon": 18940, + "aton": 18941, + "Ġcertified": 18942, + "åĬłå¿«": 18943, + "éĢļ常": 18944, + "Ġshirt": 18945, + "ÑĤаÑĢ": 18946, + "rets": 18947, + "ĠGUI": 18948, + "metic": 18949, + "Ġamid": 18950, + "å¹¿ä¸ľ": 18951, + "кÑģи": 18952, + "å°±æľī": 18953, + "Ġstom": 18954, + "Ġresistors": 18955, + "Ġobey": 18956, + "Ġmeets": 18957, + "lemn": 18958, + "nie": 18959, + "Ġmart": 18960, + "åįİ为": 18961, + "Ġswimming": 18962, + "upload": 18963, + "rition": 18964, + "Ġvoices": 18965, + "Ġargue": 18966, + "еÑĢо": 18967, + "Ġworker": 18968, + "iversary": 18969, + "ĠUlt": 18970, + "Ġmystery": 18971, + "å±±ä¸ľ": 18972, + "æ¼Ķåijĺ": 18973, + "Ġflesh": 18974, + "horizontal": 18975, + "ç©·": 18976, + "è½»æĿ¾": 18977, + "origin": 18978, + "ĠTerminal": 18979, + "ĠOil": 18980, + "è¯Ħä»·": 18981, + "举åĬŀ": 18982, + "Ġtransformer": 18983, + "å§ĭç»Ī": 18984, + "Ġdont": 18985, + "Ġindivid": 18986, + "Ġdiagrama": 18987, + "Ġrecuper": 18988, + "çļĦåIJĮæŶ": 18989, + "Ġcontacts": 18990, + "iterr": 18991, + "ĠGa": 18992, + "Ġcurv": 18993, + "above": 18994, + "æĦŁæŁĵ": 18995, + "ospel": 18996, + "cluding": 18997, + "props": 18998, + "omer": 18999, + "wick": 19000, + "Ġconcentration": 19001, + "ç²Ĺ": 19002, + "Ġridic": 19003, + "cker": 19004, + "çķª": 19005, + "ĠÑģевеÑĢ": 19006, + "yect": 19007, + "æľŁçļĦ": 19008, + "ĠShare": 19009, + "Ġhoped": 19010, + "Scroll": 19011, + "æĵ¦": 19012, + "å¡«": 19013, + "Ġchips": 19014, + "ĠAnna": 19015, + "hou": 19016, + "\"#\"": 19017, + "Ġcarrier": 19018, + "ĠPlant": 19019, + "ér": 19020, + "wild": 19021, + "Lat": 19022, + "<>": 19023, + "Card": 19024, + "ĠAppendix": 19025, + "Ġnost": 19026, + "Ġlifted": 19027, + "å°Ĩä¼ļ": 19028, + "trace": 19029, + "è£Ĥ": 19030, + "Ġburden": 19031, + "Mill": 19032, + "æ¦Ĥ念": 19033, + "Ġrandomly": 19034, + "andid": 19035, + "ĠвÑģе": 19036, + "Ġdelicate": 19037, + "åĭĴ": 19038, + "Ġcrossing": 19039, + "Ġokay": 19040, + "Having": 19041, + "trigger": 19042, + "\\)": 19043, + "çĤ¹åĩ»": 19044, + "æĪIJçĨŁ": 19045, + "åѤ": 19046, + "ĠEverything": 19047, + "Ġdiseases": 19048, + "Ġensures": 19049, + "Ġtower": 19050, + "phia": 19051, + "éĶĻ误": 19052, + "Ġtile": 19053, + "Ġchildhood": 19054, + "人士": 19055, + "Ġune": 19056, + "Ġcreu": 19057, + "æĪ¿å±ĭ": 19058, + "school": 19059, + "Ġio": 19060, + "tc": 19061, + "ĠBrad": 19062, + "Ġadjective": 19063, + "ĠGeorgia": 19064, + "Ġsuite": 19065, + "æľºåĻ¨": 19066, + "Ġemails": 19067, + "Ġexceptional": 19068, + "ĠTer": 19069, + "sembled": 19070, + "Ġboats": 19071, + "eu": 19072, + "Ġpetit": 19073, + "ancell": 19074, + "brew": 19075, + "Ġmighty": 19076, + "Ġacquis": 19077, + "ĠÑģемейÑģÑĤво": 19078, + "ĠHal": 19079, + "Ġsensors": 19080, + "ĠLondres": 19081, + "ĠLemmon": 19082, + "Ġcharm": 19083, + "views": 19084, + "Ġric": 19085, + "пан": 19086, + "Ġnotification": 19087, + "Ġregards": 19088, + "æįŁå¤±": 19089, + "ĠTotal": 19090, + "ĠPor": 19091, + "äºĮåįģ": 19092, + "ĠAlexander": 19093, + "keyword": 19094, + "ntil": 19095, + "ĠsÃŃ": 19096, + "Ġsacred": 19097, + "åħĪè¿Ľ": 19098, + "伯": 19099, + "æĪijæĥ³": 19100, + "ĠLincoln": 19101, + "lecció": 19102, + "boost": 19103, + "Ġnewer": 19104, + "Ġsne": 19105, + "Ġtooth": 19106, + "equence": 19107, + "series": 19108, + "ĠFilm": 19109, + "Ġtale": 19110, + "Ġsooner": 19111, + "çĵ¦": 19112, + "иÑĤели": 19113, + "Ġshorter": 19114, + "éĺ³åħī": 19115, + "Ġtutorial": 19116, + "phy": 19117, + "Ġattempting": 19118, + "Ġconfigurations": 19119, + "å¤ļ个": 19120, + "Ġcomparing": 19121, + "Ġregret": 19122, + "ĠNAS": 19123, + "моÑĢ": 19124, + "çľĭèµ·æĿ¥": 19125, + "Ġconverter": 19126, + "Ġportal": 19127, + "ĠDavis": 19128, + "ĠEric": 19129, + "uggest": 19130, + "Ġaccordingly": 19131, + "ÑĤÑĥÑĢа": 19132, + "svg": 19133, + "ĠOtherwise": 19134, + "Ġexhibit": 19135, + "å¥ı": 19136, + "liest": 19137, + "Ġenviar": 19138, + "ĠDM": 19139, + "å®ĺæĸ¹": 19140, + "reement": 19141, + "èĻ«": 19142, + "dic": 19143, + "Nombre": 19144, + "ĠNAME": 19145, + "ĠSov": 19146, + "æıĴ": 19147, + "æ²ŁéĢļ": 19148, + "ĠInstagram": 19149, + "Ġlon": 19150, + "åĩĿ": 19151, + "ALSE": 19152, + "Ġpurple": 19153, + "Ġtransf": 19154, + "Ġhierarch": 19155, + "åħ·å¤ĩ": 19156, + "çĽ¾": 19157, + "ĉ_": 19158, + "uria": 19159, + "Ġpremi": 19160, + "Ġtexto": 19161, + "Ġimagen": 19162, + "ĠPackage": 19163, + "ĠMade": 19164, + "}{(": 19165, + "åĩºåİ»": 19166, + "Åį": 19167, + "ĠMarketing": 19168, + "bage": 19169, + "Ġcooling": 19170, + "Ġentreprene": 19171, + "Ġemphasis": 19172, + "Ġfleet": 19173, + "Ġreq": 19174, + "Ġgravit": 19175, + "Ġstroke": 19176, + "pages": 19177, + "Ġtraveling": 19178, + "ĠFinancial": 19179, + "Ġdiscret": 19180, + "Master": 19181, + "Ġvacc": 19182, + "Ġinvari": 19183, + "Ġtracta": 19184, + "Ġhealing": 19185, + "ĠÑĢазви": 19186, + "Ġdimensional": 19187, + "Ġft": 19188, + "çī¢": 19189, + "ĠIL": 19190, + "Ġadjacent": 19191, + "½": 19192, + "åIJįåŃĹ": 19193, + "Ġgrows": 19194, + "Ġfatal": 19195, + "ĠнаÑĨиона": 19196, + "æŃ£æĺ¯": 19197, + "èµĸ": 19198, + "ç»Łè®¡": 19199, + "ĠDisplay": 19200, + "Ġdeposit": 19201, + "Ġpenet": 19202, + "Ġtons": 19203, + "æĤŁ": 19204, + "Ġschemes": 19205, + "ĠHug": 19206, + "Ġworkshop": 19207, + "æĭħå¿ĥ": 19208, + "Ġgenerous": 19209, + "oned": 19210, + "Ġpdf": 19211, + "Ġinev": 19212, + "ç»ĻäºĪ": 19213, + "Ġalike": 19214, + "Ġportfolio": 19215, + "rus": 19216, + "Ġelected": 19217, + "Ġconcluded": 19218, + "Ġgraphic": 19219, + "scriptstyle": 19220, + "æķĪçİĩ": 19221, + "Ġincredibly": 19222, + "ĠEffect": 19223, + "library": 19224, + "Ġmunicipis": 19225, + "ÏĢ": 19226, + "Ġcha": 19227, + "xxxx": 19228, + "ĠÑĤеÑħ": 19229, + "cline": 19230, + "Ġretired": 19231, + "æĮijæĪĺ": 19232, + "å±¥": 19233, + "ĠOFF": 19234, + "Ġcarp": 19235, + "ĠDNS": 19236, + "Ġpartially": 19237, + "icals": 19238, + "orship": 19239, + "Ġphases": 19240, + "proxy": 19241, + "é¢Ħéĺ²": 19242, + "Ġnombros": 19243, + "Ġsensitivity": 19244, + "å¹»": 19245, + "ĠÐķвÑĢо": 19246, + "Ġrelating": 19247, + "LIC": 19248, + "çļĦä¸ľè¥¿": 19249, + "writer": 19250, + "æĢĿç»´": 19251, + "ĠGive": 19252, + "does": 19253, + "Ġcurtain": 19254, + "Ġrolled": 19255, + "ONG": 19256, + "Ġcurios": 19257, + "ĉ});": 19258, + "Route": 19259, + "Ġcd": 19260, + "Ġuncle": 19261, + "+$": 19262, + "ente": 19263, + "Ġreception": 19264, + "ĠRights": 19265, + "Ġboundaries": 19266, + "Ġcenters": 19267, + "Ġintermediate": 19268, + "Ġvirus": 19269, + "ĠHong": 19270, + "евÑĢÑĥ": 19271, + "Prem": 19272, + "æľ¬äºº": 19273, + "Ġqualities": 19274, + "ç²®": 19275, + "----------": 19276, + "Ġprojecte": 19277, + "ÑĤив": 19278, + "ĠHash": 19279, + "acht": 19280, + "ä¸Ĭåįĩ": 19281, + "ĉ(": 19282, + "Ġanalys": 19283, + "ÑīиÑı": 19284, + "Ġphysically": 19285, + "qual": 19286, + "Matrix": 19287, + "Ġpassive": 19288, + "Ġly": 19289, + "GEN": 19290, + "Ġbills": 19291, + "}{}": 19292, + "MIN": 19293, + "Bre": 19294, + "ĠDesc": 19295, + "Ġnov": 19296, + "ĠParliament": 19297, + "èħº": 19298, + "åįĥä¸ĩ": 19299, + "ĠполÑĥÑĩава": 19300, + "Ġobsc": 19301, + "supported": 19302, + "Ġescal": 19303, + "Ġpaïsos": 19304, + "Proof": 19305, + "ovo": 19306, + "è¿ĺåı¯ä»¥": 19307, + "é¥®é£Ł": 19308, + "Ġfolders": 19309, + "姿": 19310, + "mers": 19311, + "ĠкÑĢи": 19312, + "ĠBrazil": 19313, + "Ġweakness": 19314, + "Ġcompensation": 19315, + "ĠизпÑĬл": 19316, + "æ°ijèѦ": 19317, + "utt": 19318, + "exèrcit": 19319, + "λ": 19320, + "è¡°": 19321, + "adu": 19322, + "din": 19323, + "Ġlistened": 19324, + "Ġhandled": 19325, + "ircraft": 19326, + "flex": 19327, + "ĠMust": 19328, + "Ġ',": 19329, + "Ġtens": 19330, + "Ġrestrictions": 19331, + "avelength": 19332, + "porter": 19333, + "Ġpis": 19334, + "Ġheading": 19335, + "pull": 19336, + "ĠHou": 19337, + "æIJº": 19338, + "Ġкни": 19339, + "ĠMemory": 19340, + "лÑıÑĤ": 19341, + "Ġfaçana": 19342, + "elson": 19343, + "Ġhybrid": 19344, + "Ġimportants": 19345, + "æĴŀ": 19346, + "~~~~~~~~": 19347, + "iations": 19348, + "Ġdistinction": 19349, + "Ġburied": 19350, + "ä¾Ŀæ³ķ": 19351, + "Ġlocals": 19352, + "Ġpropor": 19353, + "Ġstations": 19354, + "ulpt": 19355, + "Final": 19356, + "week": 19357, + "æij¸": 19358, + "æĺ¾å¾Ĺ": 19359, + "thr": 19360, + "ĠMember": 19361, + "adelphia": 19362, + "icana": 19363, + "Ġblocked": 19364, + "ĠDest": 19365, + "Ġwre": 19366, + "Ġsplend": 19367, + "Ġastr": 19368, + "shared": 19369, + "Ġfinalment": 19370, + "ected": 19371, + "è¿Ļå°±æĺ¯": 19372, + "евÑĢÑĥаÑĢи": 19373, + "Mad": 19374, + "ĠAvenue": 19375, + "ä¹ĭä¸Ń": 19376, + "èĸª": 19377, + "åĩĮ": 19378, + "Ġbegg": 19379, + "è¿Ł": 19380, + "ĠMort": 19381, + ";/": 19382, + "advant": 19383, + "RT": 19384, + "ï¼Į": 19385, + "Ġcurrency": 19386, + "Ġmerge": 19387, + "hyd": 19388, + "steps": 19389, + "çĶŁç´ł": 19390, + "Ġconstruir": 19391, + "Ġsinó": 19392, + "YY": 19393, + "Associ": 19394, + "metadata": 19395, + "Ġventure": 19396, + "orns": 19397, + "Mer": 19398, + "ÃŃstic": 19399, + "estions": 19400, + "bian": 19401, + "Ġaffects": 19402, + "çĺ¦": 19403, + "å¾Īå¿«": 19404, + "Ġseam": 19405, + "ĠDesktop": 19406, + "ĠYOU": 19407, + "Ġsmell": 19408, + "å¤ļ次": 19409, + "Ġfirms": 19410, + "æľīä»Ģä¹Ī": 19411, + "Ġinjured": 19412, + "Ġdecomposition": 19413, + "OUR": 19414, + "ĠUnity": 19415, + "Ġeligible": 19416, + "å¸ĤåľºçļĦ": 19417, + "Ġfn": 19418, + "ĠÑīе": 19419, + "Ġknife": 19420, + "Ġsob": 19421, + "Through": 19422, + "ĠTODO": 19423, + "urbed": 19424, + "Ġemotions": 19425, + "ĠAnalysis": 19426, + "Ġmortgage": 19427, + "æ·ĺ": 19428, + "Summary": 19429, + "Ġlang": 19430, + "Ġrings": 19431, + "ĠStop": 19432, + "Ġrode": 19433, + "època": 19434, + "æĻĴ": 19435, + "Ġoccasions": 19436, + "Ġkil": 19437, + "Ġmanifold": 19438, + "ĠQuan": 19439, + "ĠINT": 19440, + "ania": 19441, + "hbox": 19442, + "ĠгÑĢада": 19443, + "proc": 19444, + "BY": 19445, + "Ġcatalans": 19446, + "åľ°ä½į": 19447, + "ĠMerc": 19448, + "aja": 19449, + "erland": 19450, + "Ġjuice": 19451, + "Ġlands": 19452, + "éĹª": 19453, + "ĠMaterial": 19454, + "Ġwifi": 19455, + "Ġmanus": 19456, + "æ¤įçī©": 19457, + "Ġwounded": 19458, + "intel": 19459, + "IAL": 19460, + ";}": 19461, + "ĠBuff": 19462, + "fection": 19463, + "unique": 19464, + "å¤įæĿĤ": 19465, + "Ġmolecular": 19466, + "hesis": 19467, + "æĿŃ": 19468, + "axy": 19469, + "Ġhunting": 19470, + "éĤ®": 19471, + "ä¸ĢåIJį": 19472, + "Ġinteractive": 19473, + "Ġamp": 19474, + "created": 19475, + "Ġ([": 19476, + "Ġfreely": 19477, + "ingham": 19478, + "ĠDetails": 19479, + "Ġamplifier": 19480, + ".\\\\": 19481, + "Europa": 19482, + "WI": 19483, + "使å¾Ĺ": 19484, + "Ġseua": 19485, + "éļıåIJİ": 19486, + "Ġslide": 19487, + "Ġindicator": 19488, + "Ġphones": 19489, + "Ġlemma": 19490, + "ĠNic": 19491, + "æľīå¾Īå¤ļ": 19492, + "Agent": 19493, + "Ġling": 19494, + "lon": 19495, + "hole": 19496, + "square": 19497, + "Ġsegüents": 19498, + "иÑĤеÑĢаÑĤÑĥÑĢа": 19499, + "Ġsustainable": 19500, + "å®ı": 19501, + "éĤĢ": 19502, + "ĠIss": 19503, + "Ġrus": 19504, + "Ġshortly": 19505, + "Ġfriendship": 19506, + "Ġprintf": 19507, + "natural": 19508, + "Poblacions": 19509, + "ĠCreek": 19510, + "Ġclassificació": 19511, + "ĠagrÃŃ": 19512, + "ĠPCI": 19513, + "Ġvolumes": 19514, + "è·¯ä¸Ĭ": 19515, + "ĠSale": 19516, + "Ġpoker": 19517, + "urious": 19518, + "ĠConsult": 19519, + "rection": 19520, + "ĠBrand": 19521, + "ĠÐĵа": 19522, + "Ġbatalla": 19523, + "acr": 19524, + "å½ĵä¸Ń": 19525, + "ç²Ĵ": 19526, + "Ġprest": 19527, + "ĠJoh": 19528, + "Ġprendre": 19529, + "ylvania": 19530, + "ÑĦа": 19531, + "memory": 19532, + "ampl": 19533, + "exc": 19534, + "Ġphotography": 19535, + "åģļçļĦ": 19536, + "Ġretreat": 19537, + "Ġupdating": 19538, + "poch": 19539, + "ĠповеÑĩе": 19540, + "çĬ¶åĨµ": 19541, + "Ġadvis": 19542, + "ĠSU": 19543, + "ĠAnne": 19544, + "çĶµèĦij": 19545, + "Ġanchor": 19546, + "éĺŁä¼į": 19547, + "èŀįèµĦ": 19548, + "å¾Ĵ": 19549, + "Ġrival": 19550, + "ĠCF": 19551, + "åľ¨è¿Ļ个": 19552, + "expr": 19553, + "ĠPhoto": 19554, + ",,": 19555, + "Ġlately": 19556, + "åľ¨è¿ĻéĩĮ": 19557, + "Ġdetector": 19558, + "Ġatac": 19559, + "resources": 19560, + "ptic": 19561, + "Ġbrightness": 19562, + "Ġoverview": 19563, + "å¤ļç§į": 19564, + "Ġmidst": 19565, + "Ġrush": 19566, + "ĠHart": 19567, + "зваÑĤ": 19568, + "ĠRic": 19569, + "hind": 19570, + "Ġgenius": 19571, + "Ġsubscription": 19572, + "Ġconsecut": 19573, + "relation": 19574, + "HOME": 19575, + "assa": 19576, + "sources": 19577, + "ĠPenns": 19578, + "spot": 19579, + "Ġads": 19580, + "Ġestren": 19581, + "Bet": 19582, + "aid": 19583, + "Ġreaches": 19584, + "Ġplacing": 19585, + "NotNull": 19586, + "rizona": 19587, + "Ġotra": 19588, + "ĠBart": 19589, + "Ġsorrow": 19590, + "ĠActive": 19591, + "Ġceiling": 19592, + "欧洲": 19593, + "ogue": 19594, + "ĠRib": 19595, + "ĠInsurance": 19596, + "ĠMiller": 19597, + "Ġextracted": 19598, + "два": 19599, + "åħĦ": 19600, + "ĠÑĦевÑĢÑĥаÑĢи": 19601, + "ĠÐłÐ¸": 19602, + "TEXT": 19603, + "ĠDiego": 19604, + "Ġfruits": 19605, + "Ġtanc": 19606, + "Ġillustrated": 19607, + "Ġcrop": 19608, + "ä¸įå¦Ĥ": 19609, + "iterator": 19610, + "iota": 19611, + "phan": 19612, + "Ġllat": 19613, + "Ġteatre": 19614, + "Ġderivative": 19615, + "çļĦä½ľçĶ¨": 19616, + "Ġmineral": 19617, + "Ġdestruction": 19618, + "apor": 19619, + "nut": 19620, + "ĠCP": 19621, + "Notes": 19622, + "æİĴåIJį": 19623, + "ÑģÑĤÑĬп": 19624, + "ĠDutch": 19625, + "Engine": 19626, + "ĠArthur": 19627, + "Ġsang": 19628, + "Ġsubtle": 19629, + "æ°ı": 19630, + "Ġsteep": 19631, + "ieur": 19632, + "Ġpause": 19633, + "Ġlocate": 19634, + "Based": 19635, + "Ġindices": 19636, + "libs": 19637, + "atel": 19638, + "Ġorb": 19639, + "ĠRemember": 19640, + "Ġfought": 19641, + "ĠRF": 19642, + "Ġfaithful": 19643, + "bmatrix": 19644, + "Ġconvinced": 19645, + "Ġtimer": 19646, + "Ġaj": 19647, + "Ġvariance": 19648, + "æĶ¶çĽĬ": 19649, + "ivos": 19650, + "å°ıåĮº": 19651, + "ĠAle": 19652, + "èĪĴéĢĤ": 19653, + "ĠFast": 19654, + "identifier": 19655, + "Ġindustries": 19656, + "apis": 19657, + "Ġutilize": 19658, + "Ġnest": 19659, + "Ġyo": 19660, + "ORDER": 19661, + "ĠDir": 19662, + "Ġliterary": 19663, + "è¸ı": 19664, + "Perhaps": 19665, + "Multi": 19666, + "uh": 19667, + "Ġcarre": 19668, + "Ġrecovered": 19669, + "].[": 19670, + "Ġrobot": 19671, + "Hub": 19672, + ")}_{": 19673, + "ĠStudents": 19674, + "Cr": 19675, + "ç¢į": 19676, + "Ġdivid": 19677, + "çļĦæĥħåĨµä¸ĭ": 19678, + "Ġpraise": 19679, + "主å¸Ń": 19680, + "Ġreflected": 19681, + "Ġbeneficial": 19682, + "пÑĢÑĥ": 19683, + "Ġdeman": 19684, + "人æ°ijå¸ģ": 19685, + "Ġthereby": 19686, + "å¤ĸè§Ĥ": 19687, + "Ġprominent": 19688, + "Ġaffair": 19689, + "Ġfraud": 19690, + "ership": 19691, + "Dim": 19692, + "Ġoutline": 19693, + "èĽĭçĻ½": 19694, + "è´«åĽ°": 19695, + "Ġmistakes": 19696, + "Ġdret": 19697, + "ĠComputer": 19698, + "ACH": 19699, + "LD": 19700, + "rien": 19701, + "Ġsmallest": 19702, + "маÑĤ": 19703, + "å¾®åįļ": 19704, + "åį±éĻ©": 19705, + "ä¼ĺè´¨": 19706, + "outing": 19707, + "åIJĦåľ°": 19708, + "Ġsembl": 19709, + "Ġusando": 19710, + "ÑĩниÑĤе": 19711, + "ughter": 19712, + "Ġtonight": 19713, + "ĠEastern": 19714, + "Ġapproximate": 19715, + "reng": 19716, + "ĠcÃł": 19717, + "Ġactors": 19718, + "Ġlaughing": 19719, + "å²Ĺä½į": 19720, + "Short": 19721, + "locks": 19722, + "volume": 19723, + "ĠUE": 19724, + "Ġfisc": 19725, + "Ġcommut": 19726, + "brief": 19727, + "Ġownership": 19728, + "åħ¨æĸ°": 19729, + "iev": 19730, + "çĪ½": 19731, + "fetch": 19732, + "Ġjs": 19733, + "flag": 19734, + "contact": 19735, + "Ġ\".": 19736, + "ĠPi": 19737, + "Ġrestored": 19738, + "нÑıва": 19739, + "Ġefficiently": 19740, + "ĠOUT": 19741, + "Ġthumb": 19742, + "*,": 19743, + "Creat": 19744, + "Old": 19745, + "Ġdirigida": 19746, + "Ġtreatments": 19747, + "Ġcanonical": 19748, + "夫妻": 19749, + "Ġbases": 19750, + "ĠTreat": 19751, + "People": 19752, + "itious": 19753, + "tfrac": 19754, + "ĉt": 19755, + "Disk": 19756, + "avall": 19757, + "òpia": 19758, + "Ġdisorder": 19759, + "éĻIJåĪ¶": 19760, + "NP": 19761, + "èį·": 19762, + "ÑģÑĤавÑı": 19763, + "essin": 19764, + "å½¼": 19765, + "Ġdiagonal": 19766, + "ç»´æĬ¤": 19767, + "åıij表": 19768, + "Estat": 19769, + "Math": 19770, + "ĠRússia": 19771, + "emptyset": 19772, + "Ġcycles": 19773, + "人æ°ijæ³ķéĻ¢": 19774, + "loss": 19775, + "ä¸Ģä½ĵ": 19776, + "女士": 19777, + "AE": 19778, + "ensaje": 19779, + "кло": 19780, + "}[\\": 19781, + "Related": 19782, + "ĠFis": 19783, + "Ġtrasllad": 19784, + "etal": 19785, + "Ġvegetables": 19786, + "Ġballs": 19787, + "Ġ{\"": 19788, + "龸": 19789, + "Ġawful": 19790, + "checked": 19791, + "ĠGib": 19792, + "Ġsphere": 19793, + "uther": 19794, + "repository": 19795, + "getName": 19796, + "Ġuseless": 19797, + "ĠERR": 19798, + "Ġrescue": 19799, + "Ġpist": 19800, + "ĠCra": 19801, + "Ġtact": 19802, + "Ġgrain": 19803, + "Ġreceives": 19804, + "writing": 19805, + "æĭįæijĦ": 19806, + "æĪ¿åľ°äº§": 19807, + "EventListener": 19808, + "Ġspray": 19809, + "ĠBIOS": 19810, + "blank": 19811, + "OC": 19812, + "Ġunw": 19813, + "Ġwing": 19814, + "Ñĩев": 19815, + "Ġwider": 19816, + "åħ¬ä¼Ĺ": 19817, + "Ġpreference": 19818, + "Ġforming": 19819, + "ĠArrayList": 19820, + "apore": 19821, + "Ġorientation": 19822, + "webpack": 19823, + "жава": 19824, + "Ġmonop": 19825, + "Ġtunn": 19826, + "æ´ª": 19827, + "污æŁĵ": 19828, + "Ġprobe": 19829, + "Ġarrested": 19830, + "ĠDream": 19831, + "æķĻæİĪ": 19832, + "Ġporque": 19833, + "Ġmatched": 19834, + "Ġconsistently": 19835, + "DIS": 19836, + "fb": 19837, + "ĠMoh": 19838, + ",\\\\": 19839, + "Ġenthusi": 19840, + "Ġiteration": 19841, + "Ġjap": 19842, + "Ġtear": 19843, + "Ġexhibition": 19844, + "éĿ¢ä¸´": 19845, + "åĽŀåĪ°": 19846, + "çļĦç¾İ": 19847, + "ĠMadame": 19848, + "èĢģæĿ¿": 19849, + "Ġtransc": 19850, + "ĠDa": 19851, + "ä¼ı": 19852, + "ĠÐĺн": 19853, + "лаго": 19854, + "äººåľ¨": 19855, + "å¹²åĩĢ": 19856, + "onz": 19857, + "ĠMari": 19858, + "ĠGolden": 19859, + "Ġsettlement": 19860, + "Ġembedding": 19861, + "Ġgaming": 19862, + "usalem": 19863, + "ĠÑģÑĤи": 19864, + "Ġcelebrated": 19865, + "ĠÑĤази": 19866, + "Ġalias": 19867, + "ĠGets": 19868, + "ĠVil": 19869, + "Tip": 19870, + "ĠPel": 19871, + "åħ¶å®ĥ": 19872, + "æĬij": 19873, + "年度": 19874, + "æ°Ľ": 19875, + "è¿IJè¾ĵ": 19876, + "åIJ¹": 19877, + "riven": 19878, + "Ġdesigning": 19879, + "peare": 19880, + "Ġformats": 19881, + "Ġfert": 19882, + "æŁ±": 19883, + "ĠСевеÑĢ": 19884, + "级åĪ«": 19885, + "associ": 19886, + "figures": 19887, + "Ġtowns": 19888, + "Parse": 19889, + "Ġstiff": 19890, + "Ġwings": 19891, + "nil": 19892, + "ÑģÑĥ": 19893, + "olen": 19894, + "»,": 19895, + "detail": 19896, + "lope": 19897, + "Ġmd": 19898, + "Ms": 19899, + "Ġtends": 19900, + "collection": 19901, + "USB": 19902, + "Ġcosm": 19903, + "Area": 19904, + "Una": 19905, + "Ġvic": 19906, + "太éĺ³": 19907, + "uretat": 19908, + "Ġcircles": 19909, + "ĠprÃłct": 19910, + "Ġprovisions": 19911, + "ĠÑĢабоÑĤи": 19912, + "Ġeliminate": 19913, + "Hence": 19914, + "Ġreven": 19915, + "Ġacabar": 19916, + "ĠĠĠĠĠ|": 19917, + "Ġelemento": 19918, + "Ġinclo": 19919, + "Ñİз": 19920, + "èµ°åĬ¿": 19921, + "------": 19922, + "obre": 19923, + "Execut": 19924, + "trim": 19925, + "ĠRelease": 19926, + "Compat": 19927, + "Ġpreferences": 19928, + "Ġloops": 19929, + "Ġaccordance": 19930, + "Ġdetermination": 19931, + "rock": 19932, + "ĠBased": 19933, + "Ġalgun": 19934, + "phase": 19935, + "BT": 19936, + "ĠHub": 19937, + "}}.": 19938, + "vÄĽ": 19939, + "hill": 19940, + "Fact": 19941, + "Ġschematic": 19942, + "Ġnens": 19943, + "Ġug": 19944, + "å¸ĥå±Ģ": 19945, + "饱": 19946, + "encil": 19947, + "ĠLearn": 19948, + "éĥ½æ²¡æľī": 19949, + "Ġaccessories": 19950, + "ĠMOSFET": 19951, + "Iterator": 19952, + "Ġworried": 19953, + "collect": 19954, + "ĠPin": 19955, + "éĥģ": 19956, + "Ġexhaust": 19957, + "ä¸ĬåįĪ": 19958, + "pload": 19959, + "Ġwrapped": 19960, + "gis": 19961, + "}\\}": 19962, + "Ġзаедно": 19963, + "лий": 19964, + "Ġmagnific": 19965, + "rels": 19966, + "express": 19967, + "arreg": 19968, + "èµĦæł¼": 19969, + "Ġsaber": 19970, + "人åı£": 19971, + "Ġensuring": 19972, + "Hope": 19973, + "Ġresulted": 19974, + "Ġblessed": 19975, + "Ġconvention": 19976, + "ĠCit": 19977, + "ĠDol": 19978, + "Ġpricing": 19979, + "Mapping": 19980, + "alone": 19981, + "Pod": 19982, + "宣å¸ĥ": 19983, + "Moreover": 19984, + "Ġcic": 19985, + "}}_{\\": 19986, + "ä¹Łåľ¨": 19987, + "ée": 19988, + "shire": 19989, + "åĶ¯ä¸Ģ": 19990, + "slash": 19991, + "Ġdeixar": 19992, + "ensus": 19993, + "velope": 19994, + "cycle": 19995, + "ambi": 19996, + "ÃŃlia": 19997, + "Ġwins": 19998, + "Ġprosper": 19999, + "ĠOri": 20000, + "variable": 20001, + "Ġvessels": 20002, + "Ġcompliment": 20003, + "åİŁæĸĩ": 20004, + "scriptsize": 20005, + "Ġinstinct": 20006, + "ORK": 20007, + "Ġapareix": 20008, + "é«ĺ度": 20009, + "пÑĢоÑģÑĤÑĢа": 20010, + "rays": 20011, + "Ġspeaks": 20012, + "WHERE": 20013, + "Ġlocks": 20014, + "ĠStation": 20015, + "ĠGallery": 20016, + "Ġleak": 20017, + "REG": 20018, + "ĠвÑĬÑĢÑħÑĥ": 20019, + "Ġsheep": 20020, + "ĠPaper": 20021, + "еÑĢман": 20022, + "ĠÐĽÐµ": 20023, + "Ġimpressed": 20024, + "shine": 20025, + "ä¸ĭè·Į": 20026, + "é©°": 20027, + "æ®ĸ": 20028, + "rollers": 20029, + "èĩ³äºİ": 20030, + "ĠĠĠĠĠ<": 20031, + "Ġenhanced": 20032, + "Ġchampions": 20033, + "Ġcapability": 20034, + "ĠVII": 20035, + "policy": 20036, + "Repository": 20037, + "office": 20038, + "atoes": 20039, + "Ġclosest": 20040, + "Ġinventory": 20041, + "ĠADC": 20042, + "Ġneat": 20043, + "provider": 20044, + "^+$": 20045, + "town": 20046, + "ĠMassachusetts": 20047, + "Ġoverflow": 20048, + "Ġsecured": 20049, + "бÑĢи": 20050, + "çļĦ主": 20051, + "Ġdirty": 20052, + "ĠAk": 20053, + "Ġgrammar": 20054, + "Sol": 20055, + "ĠCastell": 20056, + "eros": 20057, + "tow": 20058, + "ĠOwn": 20059, + "Arm": 20060, + "ĠMembers": 20061, + "Ġrg": 20062, + "éĺ²æŃ¢": 20063, + "Ġelectrons": 20064, + "ä¹Łèĥ½": 20065, + "unter": 20066, + "Ġperpet": 20067, + "Dig": 20068, + "ĠSegona": 20069, + "amon": 20070, + "Ġsends": 20071, + "Ġreserve": 20072, + "Ġdemanded": 20073, + "Ġfeas": 20074, + "AST": 20075, + "icit": 20076, + "ĠQuick": 20077, + "æѤæŶ": 20078, + "ĠManuel": 20079, + "纷纷": 20080, + "è§Ĵèī²": 20081, + "Single": 20082, + "Socket": 20083, + "Ġpoem": 20084, + "Ġsmiling": 20085, + "ä¿Ħç½Ĺæĸ¯": 20086, + "ĠоÑģнова": 20087, + "Ġalternatives": 20088, + "æĪIJåijĺ": 20089, + "Ġbore": 20090, + "Ġ$Ġ": 20091, + "æīĭ段": 20092, + "Ġromantic": 20093, + "Ġferm": 20094, + "qüència": 20095, + "finite": 20096, + "ĠĠĠ$": 20097, + "Ġpeer": 20098, + "aze": 20099, + "Ġtreasure": 20100, + "ĠSarah": 20101, + "COMP": 20102, + "Ġenormous": 20103, + "对æīĭ": 20104, + "rivacy": 20105, + "counter": 20106, + "Ġinject": 20107, + "Ġdisappeared": 20108, + "bean": 20109, + "Ġillegal": 20110, + "'));": 20111, + "Ġarmed": 20112, + "agan": 20113, + "Ġsettle": 20114, + "Ġcharset": 20115, + "Ġimplied": 20116, + "èdia": 20117, + "WH": 20118, + "Ġsols": 20119, + "MHz": 20120, + "Ġheaded": 20121, + "Ġcarg": 20122, + "Ġhorror": 20123, + "Ġmerch": 20124, + ".(": 20125, + "Cast": 20126, + "¿": 20127, + "çIJĨæĥ³": 20128, + "ailing": 20129, + "æĢ»ç»ĵ": 20130, + "Ġpig": 20131, + "ledg": 20132, + "Ġcamps": 20133, + "AVE": 20134, + "Ġtroben": 20135, + "utats": 20136, + "ĠÑĢеволÑİ": 20137, + "æĦıåij³çĿĢ": 20138, + "World": 20139, + "ucket": 20140, + "поÑĢед": 20141, + "ÑĢане": 20142, + "Serv": 20143, + "ĠимаÑĤ": 20144, + "Ġdad": 20145, + "Ġobtener": 20146, + "è´¡çĮ®": 20147, + "æijĩ": 20148, + "precated": 20149, + "logger": 20150, + "ĠWebsite": 20151, + "ĠÑħа": 20152, + "ĠLen": 20153, + "ĠPok": 20154, + "Ġliteral": 20155, + "Volume": 20156, + "dings": 20157, + "ĠSuppose": 20158, + "direction": 20159, + "Ġdeber": 20160, + "Fragment": 20161, + "ategories": 20162, + "ĠPolit": 20163, + "exe": 20164, + "Children": 20165, + "elves": 20166, + "Ġrefresh": 20167, + "Email": 20168, + "ĠGarc": 20169, + "ordon": 20170, + "sr": 20171, + "Ġimplicit": 20172, + "adium": 20173, + "Ġpoison": 20174, + "ç¢Ĺ": 20175, + "Pointer": 20176, + "å°½éĩı": 20177, + "typedef": 20178, + "Ġengines": 20179, + "Ġ===Ġ": 20180, + "ĠAixò": 20181, + "Ġmg": 20182, + "Ġali": 20183, + "èŀįåIJĪ": 20184, + "æŶåĪ»": 20185, + "throws": 20186, + "Ġpenalty": 20187, + "ĠSho": 20188, + "sha": 20189, + "stock": 20190, + "Ali": 20191, + "wp": 20192, + "functions": 20193, + "Ġstraw": 20194, + "Ġgrief": 20195, + "ĠQuality": 20196, + "collapse": 20197, + "ĠClin": 20198, + "()\"": 20199, + "Ġdefinite": 20200, + "æĤ¬": 20201, + "è¿Ļ两": 20202, + "Ġterritory": 20203, + "ĠÑģÑĥ": 20204, + "Ġshed": 20205, + "Ġthrowing": 20206, + "èĤ¡ä¸ľ": 20207, + "inned": 20208, + "ologist": 20209, + "å°ijå¹´": 20210, + "Ġlabour": 20211, + "acular": 20212, + "ĠвÑĢÑĬ": 20213, + "èĥĸ": 20214, + "ĠKenn": 20215, + "%%%%": 20216, + "catch": 20217, + "ĠFreder": 20218, + "Ġ\\]": 20219, + "ĠкÑĢал": 20220, + "ución": 20221, + "ĠĠĠĠĠĠĠ|": 20222, + "Ġmitjana": 20223, + "ĠViet": 20224, + "Ġrelate": 20225, + "ĠÑĤÑĢе": 20226, + "ĠSay": 20227, + "гÑĢад": 20228, + "omed": 20229, + "йÑĤ": 20230, + "èĩªä¸»": 20231, + "Ġflexibility": 20232, + "Tom": 20233, + "ĠTool": 20234, + "ĠMedicine": 20235, + "ĠDaily": 20236, + "ĠÑģвÑĬÑĢ": 20237, + "UPDATE": 20238, + "ĠOutput": 20239, + "IZ": 20240, + "ä¸Ģåľº": 20241, + "менÑĤ": 20242, + "href": 20243, + "ĠEuropa": 20244, + "ĠÐłÐ°Ð·": 20245, + "å¾·åĽ½": 20246, + "Ġsimilarly": 20247, + "Construct": 20248, + "ouri": 20249, + "ottage": 20250, + "佩": 20251, + "ĠAge": 20252, + "Looking": 20253, + "Ġawarded": 20254, + "常è§ģ": 20255, + "arra": 20256, + "鬼": 20257, + "Ġchop": 20258, + "Lin": 20259, + "ÃŃas": 20260, + "ĠKitchen": 20261, + "TY": 20262, + "温度": 20263, + "Ġopacity": 20264, + "ibliot": 20265, + "tikzpicture": 20266, + "Ġgairebé": 20267, + "ueixen": 20268, + "Flow": 20269, + "ĠEasy": 20270, + "Ġsegments": 20271, + "Ġgathering": 20272, + "æĭĸ": 20273, + "erç": 20274, + "guard": 20275, + "åĮĢ": 20276, + "Ġjewel": 20277, + "æĺ¯æľī": 20278, + "GP": 20279, + "Ġconcentr": 20280, + "Ġconsistency": 20281, + "ĠLion": 20282, + "çīµ": 20283, + "ĠÐĴели": 20284, + "Ġactualment": 20285, + "Ġalguna": 20286, + "Ġantenna": 20287, + "ĠAst": 20288, + "è£ħå¤ĩ": 20289, + "Ġasleep": 20290, + "ÑĩнаÑĤа": 20291, + "Ġstepped": 20292, + "Ġ\\(\\": 20293, + "Ġfiscals": 20294, + "æ¼ı": 20295, + "Ġsheets": 20296, + "ĠÑĢез": 20297, + "çħ¤": 20298, + "Ġmutual": 20299, + "åij³éģĵ": 20300, + "Ġdiversity": 20301, + "ĠCustomer": 20302, + "Fore": 20303, + "istre": 20304, + "Ġcomputational": 20305, + "Ġdull": 20306, + "ĠNeg": 20307, + "Ġtmp": 20308, + "Variable": 20309, + "ropic": 20310, + "Ġduc": 20311, + "ĠBarn": 20312, + "ĠED": 20313, + "èĢĮåľ¨": 20314, + "allas": 20315, + "Ġretirement": 20316, + "çļĦæĦŁè§ī": 20317, + "Put": 20318, + "attery": 20319, + "Ġrecycl": 20320, + "纵": 20321, + "Ġла": 20322, + "ĠDead": 20323, + "дÑĢа": 20324, + "Ġcombinations": 20325, + "ĠColonel": 20326, + "Power": 20327, + "Ġvictims": 20328, + "Ġtissue": 20329, + "人çī©": 20330, + "ÑģÑĤвие": 20331, + "Ãį": 20332, + "Resources": 20333, + "tage": 20334, + "Protocol": 20335, + "brand": 20336, + "Admin": 20337, + "Linux": 20338, + "Driver": 20339, + "Ġscream": 20340, + "ÑĢиÑģÑĤ": 20341, + "forming": 20342, + "arms": 20343, + "dn": 20344, + "builder": 20345, + "ä¸Ī": 20346, + "Ġconnector": 20347, + "pip": 20348, + "äºķ": 20349, + "人工": 20350, + "Ġdiab": 20351, + "Ġedició": 20352, + "ï»": 20353, + "ĠOak": 20354, + "ĠHop": 20355, + "éŁ©åĽ½": 20356, + "ĠÑĢеги": 20357, + "ĠArduino": 20358, + "ĠmÃłxim": 20359, + "Ġfirmware": 20360, + "grow": 20361, + "æ¶īåıĬ": 20362, + "æĦŁè°¢": 20363, + "æĸ¹éĿ¢çļĦ": 20364, + "Ġslic": 20365, + "çĥĤ": 20366, + "cant": 20367, + "Ġpurely": 20368, + "Ġpicking": 20369, + "æĤ¦": 20370, + "Ġprincipalment": 20371, + "Ġfarmers": 20372, + "ä¼ĺæĥł": 20373, + "Ñĸ": 20374, + "æѦæ±ī": 20375, + "ä¹Łå¾Ī": 20376, + "Suppose": 20377, + "ĠпÑĢави": 20378, + "ĠFrame": 20379, + "ĠPerm": 20380, + "нима": 20381, + "Ġsolemn": 20382, + ">>>": 20383, + "Ġpatri": 20384, + "ĠPu": 20385, + "ĠпÑĢев": 20386, + "ĠAwards": 20387, + "ÐŁÑĢо": 20388, + "ths": 20389, + "Ġnotable": 20390, + "Ġassistant": 20391, + "Ġbree": 20392, + "èī¯å¥½çļĦ": 20393, + "åĩºåı£": 20394, + "Ġsentiment": 20395, + "Ġindirect": 20396, + "è¶³å¤Ł": 20397, + "jan": 20398, + "Ġhosted": 20399, + "ĠWat": 20400, + "梯": 20401, + "IMIT": 20402, + "MAN": 20403, + "Ġislands": 20404, + "rivers": 20405, + "ĠApply": 20406, + "梦æĥ³": 20407, + "Ġdigit": 20408, + "uetooth": 20409, + "determ": 20410, + "Ġcient": 20411, + "ĉĉĉĉĉĉĉĉ<": 20412, + "Star": 20413, + "ĠPersonal": 20414, + "Ġexpecting": 20415, + "rived": 20416, + "ä¾ĭå¦Ĥ": 20417, + "Ġarchive": 20418, + "Ġassol": 20419, + "å·¥ä½ľäººåijĺ": 20420, + "Ġinherit": 20421, + "mates": 20422, + "ĠAlice": 20423, + "Background": 20424, + "çĶŁæ´»ä¸Ń": 20425, + "ULE": 20426, + "ĠPopular": 20427, + "andre": 20428, + "SCR": 20429, + "Ġespanyola": 20430, + "ĠÑĤези": 20431, + "LIN": 20432, + "ä¼ļä¸Ĭ": 20433, + "Ġsculpt": 20434, + "Ġtoss": 20435, + "unks": 20436, + "ifically": 20437, + "mouse": 20438, + "tically": 20439, + "ĠÐijе": 20440, + "Ġbriefly": 20441, + "sheet": 20442, + "give": 20443, + "ĠÑħÑĢа": 20444, + "bras": 20445, + "Ġmos": 20446, + "Ġinspect": 20447, + "è®°å¿Ĩ": 20448, + "EEE": 20449, + "Ġfarther": 20450, + "ĠAltern": 20451, + "iami": 20452, + "Ġsurvive": 20453, + "Ġambient": 20454, + "ĠOptions": 20455, + "ĠMHz": 20456, + "conduct": 20457, + "ĠAirport": 20458, + "Ġfifteen": 20459, + "Ġinsect": 20460, + "cluster": 20461, + "ĠsuperfÃŃcie": 20462, + "Ġcarries": 20463, + "Ġella": 20464, + "çļĦéĤ£": 20465, + "CTYPE": 20466, + "Ġpoverty": 20467, + "ĠAdministration": 20468, + "scribe": 20469, + "Ãłtiques": 20470, + "Ġwalks": 20471, + "å¼ķ导": 20472, + "bie": 20473, + "Ġwit": 20474, + "Ġdelighted": 20475, + "VR": 20476, + "Ġpurchasing": 20477, + "Ġexamined": 20478, + "agnetic": 20479, + "Ġbaseline": 20480, + "Ġwound": 20481, + "Ġstem": 20482, + "Ġknee": 20483, + "Ġseasons": 20484, + "umption": 20485, + "ĠAlbert": 20486, + "Ġthreads": 20487, + "Ġcurrents": 20488, + "suv": 20489, + "assertEquals": 20490, + "çļĦåīį": 20491, + "éŃĤ": 20492, + "{*": 20493, + "Ġfon": 20494, + "Ġlikewise": 20495, + "æĮĩæłĩ": 20496, + "çĶµæ±ł": 20497, + "Ġnéixer": 20498, + "isons": 20499, + "åħ¬è·¯": 20500, + "ustral": 20501, + "Ġdistances": 20502, + "ĠKong": 20503, + "é¼ĵåĬ±": 20504, + "Ġvine": 20505, + "å§Ķåijĺä¼ļ": 20506, + "ĠTony": 20507, + "ĠCM": 20508, + "åĩ¤": 20509, + "Ġraces": 20510, + "æĶ¾åħ¥": 20511, + "Ġprincipis": 20512, + "}\\,\\": 20513, + "": 20514, + "Ġcort": 20515, + "Ġé": 20516, + "Ġcharity": 20517, + "Ġadvise": 20518, + "Ġbelt": 20519, + "çİ»": 20520, + "Ġ'\\": 20521, + "Ġrealistic": 20522, + "Ġlover": 20523, + "Ġnonlinear": 20524, + "emos": 20525, + "tags": 20526, + "Ġrequiring": 20527, + "ĠfÃŃs": 20528, + "UTH": 20529, + "given": 20530, + "æĮĸ": 20531, + "ĠIllinois": 20532, + "Ġpainful": 20533, + "å¼Ħ": 20534, + "Ġespanyol": 20535, + "^^": 20536, + "Inf": 20537, + "Ġcharming": 20538, + "гле": 20539, + "distance": 20540, + "ĠSteel": 20541, + "extension": 20542, + "ÃŃg": 20543, + "OO": 20544, + "åłĨ": 20545, + "è½´": 20546, + "cfg": 20547, + "ç»ĦåIJĪ": 20548, + "usta": 20549, + "èī³": 20550, + "pair": 20551, + "ĠResults": 20552, + "缸åºĶ": 20553, + "жна": 20554, + "å®ŀéĻħä¸Ĭ": 20555, + "Ġhanded": 20556, + "Ġpunts": 20557, + "Ġbalanced": 20558, + "Jo": 20559, + "looked": 20560, + "Jul": 20561, + "Ġintersection": 20562, + "}))": 20563, + "Price": 20564, + "mans": 20565, + "精彩": 20566, + "Expr": 20567, + "Ġvoy": 20568, + "bara": 20569, + "Ġbandwidth": 20570, + "unts": 20571, + "Ġsacrifice": 20572, + "human": 20573, + "ĠCopa": 20574, + "è£Ļ": 20575, + "isson": 20576, + "visible": 20577, + "Ġmesos": 20578, + "heast": 20579, + "ç»Ļä½ł": 20580, + "Present": 20581, + "Ġweigh": 20582, + "ĠHan": 20583, + "Ġdancing": 20584, + "edifici": 20585, + "ĠTro": 20586, + "posició": 20587, + "Ġtypename": 20588, + "Ġdrinks": 20589, + "èĴ¸": 20590, + "Ġvaried": 20591, + "ĠLLC": 20592, + "æ¸łéģĵ": 20593, + "Ġtomat": 20594, + "Ġdental": 20595, + "ĠSure": 20596, + "updates": 20597, + "liter": 20598, + "gray": 20599, + "ĠCarl": 20600, + "Ġcarriage": 20601, + "Ġspecialist": 20602, + "activity": 20603, + "Ġgentlemen": 20604, + "çļĨ": 20605, + "Ġapproached": 20606, + "Ġcourts": 20607, + "parser": 20608, + "Ġirrit": 20609, + "usuario": 20610, + "tabs": 20611, + "Ġviewing": 20612, + "VALUE": 20613, + "举è¡Į": 20614, + "Ġedited": 20615, + "ĠKind": 20616, + "Ġwheels": 20617, + "Ġregulator": 20618, + "èij±": 20619, + "乡æĿij": 20620, + "Ġgig": 20621, + "ĠPrime": 20622, + "Ġtransferred": 20623, + "Ġtypeof": 20624, + "Ġvirtue": 20625, + "tf": 20626, + "AK": 20627, + "Ġdomains": 20628, + "ĠÑĩÑĢез": 20629, + "Ġmodeling": 20630, + "achment": 20631, + "ĠSalv": 20632, + "Ġremarked": 20633, + ".\");": 20634, + "Ġsignificance": 20635, + "Ġabilities": 20636, + "decor": 20637, + "Ġrealitzar": 20638, + "Ġestablir": 20639, + "DEFAULT": 20640, + "Ġrefuge": 20641, + "åģļäºĨ": 20642, + "multirow": 20643, + "ĠSydney": 20644, + "ç¥ŀç»ı": 20645, + "Ġва": 20646, + "zi": 20647, + "ĠRepublican": 20648, + "Ġmai": 20649, + "Ġnegl": 20650, + "Ġaccompany": 20651, + "ĠCass": 20652, + "Those": 20653, + "ĠBerg": 20654, + "Ġbronze": 20655, + "history": 20656, + "ursor": 20657, + "ský": 20658, + "LAY": 20659, + "Ġtelephone": 20660, + "ĠBag": 20661, + "ĠNum": 20662, + "Ġcenturies": 20663, + "ĠMichel": 20664, + "Ġassociate": 20665, + "ĠTemple": 20666, + "plain": 20667, + "Ġslots": 20668, + "çļĦæĸ¹æ³ķ": 20669, + "Rend": 20670, + "ĠChall": 20671, + "бва": 20672, + "ictures": 20673, + "ĠHerm": 20674, + "states": 20675, + "ĠDeep": 20676, + "icking": 20677, + "rés": 20678, + "Ġservants": 20679, + "Ġcomparable": 20680, + "ĠSER": 20681, + "Ġdeparture": 20682, + "бÑĢе": 20683, + "èĶ¬": 20684, + "ĠIOException": 20685, + "isure": 20686, + "çļĦå½±åĵį": 20687, + "radio": 20688, + "Ġexcuse": 20689, + "Ġappearing": 20690, + "Ġjuris": 20691, + "Ġfocusing": 20692, + "Ġmans": 20693, + "Ġunfortunately": 20694, + "havior": 20695, + "mont": 20696, + "quir": 20697, + "ĠArticle": 20698, + "æݨ广": 20699, + "ĠLewis": 20700, + "Ġpity": 20701, + "ĉbreak": 20702, + "ochastic": 20703, + "ĠHttp": 20704, + "ĠÑģÑĬпÑĢÑĥ": 20705, + "ARNING": 20706, + "Ġdecline": 20707, + "frag": 20708, + "score": 20709, + "Ġproduir": 20710, + "loading": 20711, + "顺åĪ©": 20712, + "ĠимеÑĤо": 20713, + "Ġperformances": 20714, + "çĹħæ¯Ĵ": 20715, + "Ġawards": 20716, + "ге": 20717, + "Setting": 20718, + "ĠDave": 20719, + "quarters": 20720, + "Light": 20721, + "Ġquoted": 20722, + "racted": 20723, + "Whether": 20724, + "umerable": 20725, + "Constraint": 20726, + "timeout": 20727, + "Ġtremend": 20728, + "ä¼łæĴŃ": 20729, + "æĽ¹": 20730, + "Ġemployer": 20731, + "ĠDriver": 20732, + "asty": 20733, + "羣æĺ¯": 20734, + "Ġproportional": 20735, + "Ġlegacy": 20736, + "Ġarrangements": 20737, + "Ġrefres": 20738, + "Ġcolleagues": 20739, + "exit": 20740, + "DateTime": 20741, + "Ġshar": 20742, + "Ġfollowers": 20743, + "grav": 20744, + "Ġrac": 20745, + "Ġknees": 20746, + "ĠCapital": 20747, + "olute": 20748, + "å·¥ä½ľçļĦ": 20749, + "Ġcanal": 20750, + "èĥĮæĻ¯": 20751, + "Ġsimpler": 20752, + "Ġthemes": 20753, + "Ġmantenir": 20754, + "çݯä¿Ŀ": 20755, + "Ġindependence": 20756, + "Descripció": 20757, + "lings": 20758, + "Ġattending": 20759, + "éĩįåºĨ": 20760, + "Hot": 20761, + "stage": 20762, + "ĠStudent": 20763, + "Ġinstaller": 20764, + "_)": 20765, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 20766, + "xygen": 20767, + "alias": 20768, + "almost": 20769, + "Ġrit": 20770, + "Ġhace": 20771, + "Ġ\"'": 20772, + "ffffff": 20773, + "Mus": 20774, + "Welcome": 20775, + "åĽŀæĿ¥": 20776, + "Ġcastle": 20777, + "Ġgenerations": 20778, + "itecture": 20779, + "DATA": 20780, + "Ġ\\!": 20781, + "åīįçļĦ": 20782, + "Ġdischarge": 20783, + "Ġhoney": 20784, + "unda": 20785, + "Span": 20786, + "认å®ļ": 20787, + "Ġzoom": 20788, + "Move": 20789, + "))\\": 20790, + "ĠTheatre": 20791, + "éĥ½åı¯ä»¥": 20792, + "ĠVictoria": 20793, + "Ġabundance": 20794, + "ÑĢиÑĩа": 20795, + "Props": 20796, + "Ġstairs": 20797, + "Ġjove": 20798, + "ĠMuslim": 20799, + "ĠLam": 20800, + "Ġlob": 20801, + "added": 20802, + "Ġctx": 20803, + "Ġcontrovers": 20804, + "ĠпÑĥбли": 20805, + "attributes": 20806, + "resses": 20807, + "rage": 20808, + "веÑĢо": 20809, + "ĠÑĢазлиÑĩни": 20810, + "ĠÐŀÑģ": 20811, + "Ġlun": 20812, + "ĠEC": 20813, + "scal": 20814, + "Ġintend": 20815, + "ĠDue": 20816, + "rtl": 20817, + "Drop": 20818, + "ĠGovernor": 20819, + "Ġholidays": 20820, + "SN": 20821, + "ĠOriginal": 20822, + "å·ŀå¸Ĥ": 20823, + "Ġpresently": 20824, + "TM": 20825, + "Ġobtaining": 20826, + "ĠкаÑĢ": 20827, + "Warning": 20828, + "Ġuno": 20829, + "Ġpipeline": 20830, + "onsieur": 20831, + "Ġauthentication": 20832, + "ĠFix": 20833, + "Ġkindly": 20834, + "ĠBody": 20835, + "asis": 20836, + "phe": 20837, + "Ġuniqu": 20838, + "URI": 20839, + "bast": 20840, + "åݨ": 20841, + "æīĢåľ¨": 20842, + "æµĻæ±Ł": 20843, + "Ġinspection": 20844, + "anchester": 20845, + "Ġnarrative": 20846, + "ĠStaff": 20847, + "Comput": 20848, + "Ġseized": 20849, + "ĠUsed": 20850, + "ĠSteam": 20851, + "Ġstrengthen": 20852, + "Ġlicensed": 20853, + "ĠDrop": 20854, + "ÑĤов": 20855, + "Ġaged": 20856, + "Ġrefuse": 20857, + "Ġmacro": 20858, + "Ġfocuses": 20859, + "Ġiii": 20860, + "ĠSUM": 20861, + "Ġnumero": 20862, + "gov": 20863, + "Ġprod": 20864, + "mart": 20865, + "Ġfemen": 20866, + "Ġpreserved": 20867, + "След": 20868, + "è¯ģåĪ¸": 20869, + "Ġirre": 20870, + "Ġmenor": 20871, + "third": 20872, + "Ġalumin": 20873, + "失败": 20874, + "Ġblend": 20875, + "Player": 20876, + "chart": 20877, + "ĠComments": 20878, + "ÑĬк": 20879, + "ĠAutom": 20880, + "Ġruta": 20881, + "Ġpushing": 20882, + "èī¾": 20883, + "Ġcombin": 20884, + "Ġtemplates": 20885, + "hh": 20886, + "Ġanom": 20887, + "Ġliberal": 20888, + "alph": 20889, + "ĠDur": 20890, + "otive": 20891, + "ogs": 20892, + "negative": 20893, + "ĠJam": 20894, + "Ġprince": 20895, + "allowed": 20896, + "izard": 20897, + "delay": 20898, + "ĠMode": 20899, + "Constants": 20900, + "缴åĪ°": 20901, + "ubs": 20902, + "inth": 20903, + "ĠConstitution": 20904, + "building": 20905, + "Ġrepublic": 20906, + "Ġstomach": 20907, + "Ġgovernor": 20908, + "Review": 20909, + "æģ°": 20910, + "Ġcheaper": 20911, + "Game": 20912, + "ĠFR": 20913, + "Ġcollections": 20914, + "irical": 20915, + "OPT": 20916, + "SW": 20917, + "Exper": 20918, + "Again": 20919, + "sleep": 20920, + "logo": 20921, + "åĩºçĶŁ": 20922, + "Rob": 20923, + "é¢Ī": 20924, + "ĠChristians": 20925, + "ĠAI": 20926, + "ĠAsk": 20927, + "owa": 20928, + "ĠToronto": 20929, + "ĠPalest": 20930, + "ä¾Ŀæŧ": 20931, + "ĠCorp": 20932, + "Func": 20933, + "Ġfailing": 20934, + "Ġkin": 20935, + "æĻĭ": 20936, + "æĢİæł·": 20937, + "ĠValid": 20938, + "ĠWiFi": 20939, + "umbled": 20940, + "ĠIgn": 20941, + "riel": 20942, + "parallel": 20943, + "havia": 20944, + "('/": 20945, + "æ¶Īéĺ²": 20946, + "erable": 20947, + "Ġchains": 20948, + "ĠAsian": 20949, + "PY": 20950, + "ĠmacOS": 20951, + "imag": 20952, + "ç»´çĶŁç´ł": 20953, + "icide": 20954, + "ĠProfessional": 20955, + "Ġmysq": 20956, + "Ġsmoking": 20957, + "ĠFlore": 20958, + "è¯ģæį®": 20959, + "Ġshelter": 20960, + "cers": 20961, + "Screen": 20962, + "helper": 20963, + "ĠLOG": 20964, + "ĠÄ": 20965, + "ĠVictor": 20966, + "Ġmeaningful": 20967, + "Ġmaximal": 20968, + "çĽĨ": 20969, + "wen": 20970, + "Ġfigured": 20971, + "æĪIJå°±": 20972, + "ssh": 20973, + "against": 20974, + "unal": 20975, + "Ġunnecessary": 20976, + "minute": 20977, + "Ġinserted": 20978, + "Amb": 20979, + "ĠPic": 20980, + "Ġslice": 20981, + "Ġresident": 20982, + "Ġreign": 20983, + "Ġevidently": 20984, + "Ġsour": 20985, + "çĴĥ": 20986, + "åį³å°Ĩ": 20987, + "Ġneutr": 20988, + "transition": 20989, + "Ġrgba": 20990, + "ĠRyan": 20991, + "Ġtyped": 20992, + "ĠMèxic": 20993, + "ARR": 20994, + "ĠPod": 20995, + "æĪIJæŀľ": 20996, + "Ġgeometric": 20997, + "Ġgods": 20998, + "каÑĤо": 20999, + "Ġlogged": 21000, + "emporary": 21001, + "Ġdpkg": 21002, + "ĠOcean": 21003, + "ETHOD": 21004, + "ĠVien": 21005, + "åIJ¦åĪĻ": 21006, + "Ġlanding": 21007, + "ĠBrian": 21008, + "Ġindependently": 21009, + "ĠSin": 21010, + "Effect": 21011, + "directory": 21012, + "Leg": 21013, + "Ġpg": 21014, + "çĸı": 21015, + "ĠJordan": 21016, + "ĠWinter": 21017, + "Ġtrips": 21018, + "tesy": 21019, + "ĠJews": 21020, + "fortunate": 21021, + "Ġreleases": 21022, + "Ġ©": 21023, + "èį¯çī©": 21024, + "Ġtriumph": 21025, + "Ġfunció": 21026, + "Ġcompanions": 21027, + "Ñĩени": 21028, + "Ġfortun": 21029, + "çĨŁæĤī": 21030, + "Ġvolunteers": 21031, + "Ġperceived": 21032, + "Ġfemin": 21033, + "Ġrab": 21034, + "rand": 21035, + "constant": 21036, + "Ġhandsome": 21037, + "ç®Ń": 21038, + "ĠFREE": 21039, + "NavBarCell": 21040, + "å®ļä½į": 21041, + "ĠHans": 21042, + "{%": 21043, + "ĠFried": 21044, + "Browser": 21045, + "æĪijæĺ¯": 21046, + "åı¯è§ģ": 21047, + "alties": 21048, + "Watch": 21049, + "Có": 21050, + "ä»İäºĭ": 21051, + "ÑĢаб": 21052, + "Symfony": 21053, + "åĪĨ为": 21054, + "ĠMulti": 21055, + "ä¸įå¤Ł": 21056, + "æŁľ": 21057, + "èij£äºĭ": 21058, + "å¼ķåıij": 21059, + "insic": 21060, + "Ġpac": 21061, + "Ġstreaming": 21062, + "ĠGre": 21063, + "Photo": 21064, + "羣æŃ£çļĦ": 21065, + "onomy": 21066, + "Ġgrip": 21067, + "Ġsap": 21068, + "years": 21069, + "apture": 21070, + "çĥ¤": 21071, + "ÃŃnce": 21072, + "èĩ³ä»Ĭ": 21073, + "Ġcalc": 21074, + "ĠMotor": 21075, + "folder": 21076, + "creat": 21077, + "ĠMars": 21078, + "\"--": 21079, + "ĠLux": 21080, + "æ²Ī": 21081, + "IMARY": 21082, + "Ġindexes": 21083, + "å¥ī": 21084, + "heim": 21085, + "çĭ¬çī¹": 21086, + "ĠStream": 21087, + "ĠStyle": 21088, + "ĠMoon": 21089, + "Ġpresenta": 21090, + "Login": 21091, + "讼": 21092, + "ÑĢеди": 21093, + "ĠRepresent": 21094, + "tsd": 21095, + "éŃħ": 21096, + "NUM": 21097, + "ELD": 21098, + "Ġrejected": 21099, + "Ġwherever": 21100, + "ĠColumbia": 21101, + "dh": 21102, + "Sem": 21103, + "Ġcorners": 21104, + "bourne": 21105, + "esqu": 21106, + "ĠImport": 21107, + "çĮĽ": 21108, + "Ġpursue": 21109, + "although": 21110, + "Adv": 21111, + "ĠSend": 21112, + "æĹĭ": 21113, + "ĠProducts": 21114, + "Ġsolely": 21115, + "åľ¨çº¿": 21116, + "Ġsha": 21117, + "iffs": 21118, + "ĠPope": 21119, + "Ġbelonging": 21120, + "ä¸įä½ı": 21121, + "Ġdegener": 21122, + "DOCTYPE": 21123, + "Ġscientists": 21124, + "Ġdramatic": 21125, + "xis": 21126, + "ĠgrÃł": 21127, + "Attr": 21128, + "Ġcolumna": 21129, + "казва": 21130, + "arrison": 21131, + "ĠStorage": 21132, + "Ġrestriction": 21133, + "ĠÐĶими": 21134, + "æĭ³": 21135, + "Ġcatalana": 21136, + "Domain": 21137, + "expand": 21138, + "ĠÑĤеÑĢи": 21139, + "................": 21140, + "ĠCT": 21141, + "ĠJu": 21142, + "ĠÐĵеоÑĢги": 21143, + "Ġconditional": 21144, + "ĠRab": 21145, + "Ġalemany": 21146, + "Region": 21147, + "è¦ĨçĽĸ": 21148, + "touch": 21149, + "Ġremarks": 21150, + "Ġapproaching": 21151, + "Spr": 21152, + "utenant": 21153, + "DU": 21154, + "Ġtwe": 21155, + "Ġespècies": 21156, + "åħļåijĺ": 21157, + "LETE": 21158, + "ĠSafety": 21159, + "Ġirregular": 21160, + "(__": 21161, + "æĪijå°±": 21162, + "æĶ¹éĢł": 21163, + "Ġprofound": 21164, + "ä¸Ģè¾¹": 21165, + "Ġdevil": 21166, + "讨论": 21167, + "Ġpodria": 21168, + "abul": 21169, + "Ġphenomenon": 21170, + "Identifier": 21171, + "Ġreferenc": 21172, + "ĠCut": 21173, + "columnwidth": 21174, + "Ġreplic": 21175, + "ého": 21176, + "è¿IJçĶ¨": 21177, + "éĿŀ常çļĦ": 21178, + "isations": 21179, + "Ġcomprom": 21180, + "æŀĿ": 21181, + "ĠLaure": 21182, + "Ġfrozen": 21183, + "Ðļо": 21184, + "compile": 21185, + "ĠEle": 21186, + "Ġinclusion": 21187, + "Ġrepresentatives": 21188, + "éĿ©åij½": 21189, + "ĠSelf": 21190, + "ä¸Ģ代": 21191, + "VAR": 21192, + "Ġfence": 21193, + "åijĪçİ°": 21194, + "Ġdefining": 21195, + "виÑĤел": 21196, + "links": 21197, + "riques": 21198, + "Ðļа": 21199, + "Ġstabil": 21200, + "Ġgross": 21201, + "Ġoct": 21202, + "design": 21203, + "å§ij": 21204, + "ĠTel": 21205, + "hoo": 21206, + "æĺ¯æľĢ": 21207, + "ĠSamsung": 21208, + "Ġradial": 21209, + "disable": 21210, + "akespeare": 21211, + "issió": 21212, + "icÃł": 21213, + "tech": 21214, + "worthy": 21215, + "Ġsobretot": 21216, + "Keep": 21217, + "ÑĩеÑģкаÑĤа": 21218, + "ĠRecords": 21219, + "Ġharvest": 21220, + "regon": 21221, + "вниÑĤе": 21222, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 21223, + "pera": 21224, + "ĠVolume": 21225, + "ĠTengo": 21226, + "Ġsituated": 21227, + "gue": 21228, + "ĠDonald": 21229, + "ĠGas": 21230, + "objects": 21231, + "æĪIJéĥ½": 21232, + "èµĭ": 21233, + "ĠMAX": 21234, + "ä»ĸåľ¨": 21235, + "溪": 21236, + "Nodes": 21237, + "åĪ©äºİ": 21238, + "ä¼ĺåĮĸ": 21239, + "isible": 21240, + "ĠES": 21241, + "ĠIraq": 21242, + "Ġcousin": 21243, + "ymer": 21244, + "liver": 21245, + "Ġconsolid": 21246, + "rena": 21247, + "gnu": 21248, + "Ġinnocent": 21249, + "Ġobjectives": 21250, + "ordered": 21251, + "åĵªéĩĮ": 21252, + "DEBUG": 21253, + "ä¼Ĺå¤ļ": 21254, + "CEPT": 21255, + "Ġmechanisms": 21256, + "ĠFailed": 21257, + "åij¼åIJ¸": 21258, + "Scale": 21259, + "invalid": 21260, + "ĠLI": 21261, + "Progress": 21262, + "æĪĺäºī": 21263, + "ä¸Ĭä¸ĭ": 21264, + "Ġpassionate": 21265, + "Ġnous": 21266, + "çĨĬ": 21267, + "Ġinterpre": 21268, + "ĠLlu": 21269, + "è£ħä¿®": 21270, + "measure": 21271, + "ĠHappy": 21272, + "ĉs": 21273, + "åħĥç´ł": 21274, + "Ġplates": 21275, + "лови": 21276, + "DOM": 21277, + "Ġadequate": 21278, + "ĠNEW": 21279, + "Ġúnic": 21280, + "Ġcoron": 21281, + "æĪĴ": 21282, + "Ġhopefully": 21283, + "Ġparticipation": 21284, + "station": 21285, + "ĠHollywood": 21286, + "Ġcontracts": 21287, + "ĠTru": 21288, + "ĠResponse": 21289, + "kill": 21290, + "}}}\\": 21291, + "uït": 21292, + "Ġfare": 21293, + "thew": 21294, + "Ġerect": 21295, + "åIJĦç±»": 21296, + "Ġabsent": 21297, + "Ġajud": 21298, + "mel": 21299, + "scriptors": 21300, + "|=": 21301, + "ĠJerusalem": 21302, + "Ġinvite": 21303, + "History": 21304, + "Ġ×": 21305, + "è¡Ģ管": 21306, + "ĠBou": 21307, + "åĪļåĪļ": 21308, + "Ġslaves": 21309, + "ÃŃtiques": 21310, + "engu": 21311, + "Green": 21312, + "èµ·äºĨ": 21313, + "çĸ²": 21314, + "å·¥èīº": 21315, + "æĢ¨": 21316, + "ĠCooper": 21317, + "ĠDal": 21318, + "è§ĦåĪĻ": 21319, + "æī©å¤§": 21320, + "åŃ£åº¦": 21321, + "oble": 21322, + "Ġезик": 21323, + "Mal": 21324, + "åĪ°çļĦ": 21325, + "-\"": 21326, + "Enum": 21327, + "HTTP": 21328, + "ÑĢий": 21329, + "ĠTrib": 21330, + "åı¬å¼Ģ": 21331, + "Ġrh": 21332, + "Ġexploring": 21333, + "Ġdirectories": 21334, + "expression": 21335, + "Ġvalidate": 21336, + "quote": 21337, + "Ġpronounced": 21338, + "ĠимпеÑĢиÑı": 21339, + "åIJ«æľī": 21340, + "Organ": 21341, + "çļĦä¸Ģç§į": 21342, + "Ġsizeof": 21343, + "Ġtape": 21344, + "åĬłå¤§": 21345, + "iasm": 21346, + "Ġliv": 21347, + "Ġtraces": 21348, + "纤": 21349, + "porters": 21350, + "ĠMosc": 21351, + "çIJĨçĶ±": 21352, + "æĺ¥èĬĤ": 21353, + "rules": 21354, + "mercial": 21355, + "Len": 21356, + "ĠТова": 21357, + "ĠÑĩаÑģÑĤи": 21358, + "calcul": 21359, + "ä¸īå¹´": 21360, + "Ġdissol": 21361, + "Ġclassroom": 21362, + "ĠRot": 21363, + "Ġdimin": 21364, + "toc": 21365, + "пÑĢеки": 21366, + "Ġstays": 21367, + "kov": 21368, + "èģĮå·¥": 21369, + "Ġze": 21370, + "Ġincon": 21371, + "åıĤæķ°": 21372, + "Ġcups": 21373, + "ĠMagazine": 21374, + "hero": 21375, + "ä¸įå¾Ĺä¸į": 21376, + "swer": 21377, + "Ġster": 21378, + "ãĢĭãĢģãĢĬ": 21379, + "ĠWis": 21380, + "ĠCasa": 21381, + "Ġlod": 21382, + "Ġtok": 21383, + "encedor": 21384, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 21385, + "Ġmesh": 21386, + "ractions": 21387, + ",[": 21388, + "Ġcurvature": 21389, + "correct": 21390, + "issip": 21391, + "anti": 21392, + "sequence": 21393, + "Ġdrift": 21394, + "Ġdepression": 21395, + "жно": 21396, + "autilus": 21397, + "Ġnurse": 21398, + "Ġbarely": 21399, + "ĠHind": 21400, + "teres": 21401, + "ĠLock": 21402, + "Ġcameras": 21403, + "å½»åºķ": 21404, + "Ġacknowledge": 21405, + "pd": 21406, + "warning": 21407, + "çªģåĩº": 21408, + "´": 21409, + "寺": 21410, + "Ġidentifier": 21411, + "éĿĴæĺ¥": 21412, + "Insert": 21413, + "Ġfron": 21414, + "Ġcultura": 21415, + "η": 21416, + "forced": 21417, + "è´¸æĺĵ": 21418, + "Selection": 21419, + "Ġescaped": 21420, + "Ġbuyers": 21421, + "generate": 21422, + "irus": 21423, + "маниÑı": 21424, + "igious": 21425, + "åŃ©åŃIJ们": 21426, + "ĠХо": 21427, + "came": 21428, + "ĠмеÑģÑĤ": 21429, + "Sir": 21430, + "fw": 21431, + "HL": 21432, + "æĪIJ交": 21433, + "åIJ¸æĶ¶": 21434, + "强åĮĸ": 21435, + "ä¸Ģ件": 21436, + "Ġrevista": 21437, + "ĠMach": 21438, + "sch": 21439, + "Ġtropical": 21440, + "ĠSnow": 21441, + "Ġdeserve": 21442, + "leans": 21443, + "Ġstructural": 21444, + "ĠBush": 21445, + "Ġproposition": 21446, + "Ġsearched": 21447, + "Ġcoil": 21448, + "ä¸Ĭè¿°": 21449, + "atherine": 21450, + "Ñĩка": 21451, + "ç»ĻæĪij": 21452, + "FLA": 21453, + "èģª": 21454, + "åĮ»åѦ": 21455, + "çĻ¾å§ĵ": 21456, + "hedral": 21457, + "ĠPortugal": 21458, + "Wrapper": 21459, + "ĠFlash": 21460, + "ĠSimilarly": 21461, + "ĠStudy": 21462, + "å½ĵå¹´": 21463, + "æµĭè¯ķ": 21464, + "ä¸Ģè·¯": 21465, + "大æ¦Ĥ": 21466, + "Ġrepar": 21467, + "leading": 21468, + "...)": 21469, + "Ġflip": 21470, + "laterra": 21471, + "è¿ĩäºĨ": 21472, + "åĬłå·¥": 21473, + "ĠExchange": 21474, + "Ġobert": 21475, + "estone": 21476, + "Ġcompart": 21477, + "health": 21478, + "Ġbaking": 21479, + "Ġtrap": 21480, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 21481, + "ä¸Ĭåİ»": 21482, + "Ġintelligent": 21483, + "æ¡Ĥ": 21484, + "пÑĥблика": 21485, + "ĠPho": 21486, + "ATCH": 21487, + "Score": 21488, + "ĠалбÑĥ": 21489, + "ä¸ĵ项": 21490, + "Ġtienes": 21491, + "Ġperforms": 21492, + "Ġmoderate": 21493, + "ÑĢÑĤ": 21494, + "ĠVel": 21495, + ".\",": 21496, + "Ġfever": 21497, + "æľ¬æĿ¥": 21498, + "osos": 21499, + "ĠHil": 21500, + "iliary": 21501, + "Ġcasos": 21502, + "ĠTech": 21503, + "Ġstreams": 21504, + "Ġparticulars": 21505, + "Ġmurm": 21506, + "iy": 21507, + "qt": 21508, + "protocol": 21509, + "ĠWindow": 21510, + "Ġhungry": 21511, + "Ġaircraft": 21512, + "ĠPitt": 21513, + "Prefix": 21514, + "Ġaccounting": 21515, + "ÐľÐ°": 21516, + "mitting": 21517, + "ä½ľä¸ļ": 21518, + "Ġeasiest": 21519, + "пеÑĢа": 21520, + "ĠPhiladelphia": 21521, + "Mart": 21522, + "涵": 21523, + "Life": 21524, + "нен": 21525, + "Ġtrials": 21526, + "Ġorganisation": 21527, + "ĠCastle": 21528, + "Boot": 21529, + "Ġdt": 21530, + "ĠMini": 21531, + "Ġelectronics": 21532, + "nest": 21533, + "Ġperiodic": 21534, + "things": 21535, + "INTER": 21536, + "Ġcattle": 21537, + "ĠPir": 21538, + "ĠQuery": 21539, + "éĢĤåºĶ": 21540, + "ç³Ĭ": 21541, + "Without": 21542, + "Ġhumanity": 21543, + "Ġgains": 21544, + "æľµ": 21545, + "Ġdetermining": 21546, + "Bean": 21547, + "Ġbeta": 21548, + "Ġbadly": 21549, + "Ġtones": 21550, + "oir": 21551, + "ĠSingle": 21552, + "åĪ¶å®ļ": 21553, + "ĠFro": 21554, + "òmic": 21555, + "ر": 21556, + "Ġproceeded": 21557, + "Ãłnics": 21558, + "Ġgenerates": 21559, + "å¨ľ": 21560, + "iac": 21561, + "abaj": 21562, + "nodes": 21563, + "平衡": 21564, + "Ġmeters": 21565, + "Ġtablet": 21566, + "Ġveu": 21567, + "algebra": 21568, + "Ġadvised": 21569, + "Three": 21570, + "Ġshortcut": 21571, + "Ġequals": 21572, + "Ġthroat": 21573, + "éĶ¦": 21574, + "æ²»çIJĨ": 21575, + "Unknown": 21576, + "cop": 21577, + "sever": 21578, + "ç»ĻäºĨ": 21579, + "ĠFuture": 21580, + "Ġuninstall": 21581, + "Ġatoms": 21582, + "Visible": 21583, + "Ġvolts": 21584, + "Ġèxit": 21585, + "olation": 21586, + "Ġranging": 21587, + "alia": 21588, + "Ġpetita": 21589, + "thick": 21590, + "Ġ$^": 21591, + "xid": 21592, + "noDB": 21593, + "ä¹ĥ": 21594, + "iances": 21595, + "ĠSL": 21596, + "FOR": 21597, + "team": 21598, + "amount": 21599, + "Ġtrash": 21600, + "Ġвла": 21601, + "æ¯ıä¸Ģ个": 21602, + "nesota": 21603, + "Ġseguir": 21604, + "Ljava": 21605, + "Ġxar": 21606, + "Ġimportantly": 21607, + "ximadament": 21608, + "Ġwondered": 21609, + "æݢ索": 21610, + "ĠLooking": 21611, + "Interval": 21612, + "То": 21613, + "è¯ī讼": 21614, + "æĥ³æ³ķ": 21615, + "ĠSenior": 21616, + "ĠAixÃŃ": 21617, + "Ġtropes": 21618, + "scan": 21619, + "Ġmold": 21620, + "Ġinflation": 21621, + "Maybe": 21622, + "ĠRoger": 21623, + "Ġcompost": 21624, + "Wr": 21625, + "Ġmeter": 21626, + "ĠLEDs": 21627, + "éħ±": 21628, + "Durant": 21629, + "ĠTHEN": 21630, + "cou": 21631, + "Ġdeny": 21632, + "pag": 21633, + "Ġaccurately": 21634, + "rors": 21635, + "Ġhitting": 21636, + "Ġrebut": 21637, + "Character": 21638, + "ĠSY": 21639, + "åİī": 21640, + "ulent": 21641, + "ĠDisk": 21642, + "testing": 21643, + "danger": 21644, + "ĠMove": 21645, + "妻åŃIJ": 21646, + "-----": 21647, + "åľºæĻ¯": 21648, + "Ġdx": 21649, + "ostics": 21650, + "mons": 21651, + "ĠBC": 21652, + "ĠBoolean": 21653, + "arlo": 21654, + "Mc": 21655, + "former": 21656, + "reach": 21657, + "ĠResources": 21658, + "Diff": 21659, + "Ġicons": 21660, + "orca": 21661, + "ĠизвеÑģÑĤ": 21662, + "Ġaccused": 21663, + "Ġinfection": 21664, + "æī¶è´«": 21665, + "VICE": 21666, + "ĠIdent": 21667, + "aired": 21668, + "Ġlikelihood": 21669, + "Ġunt": 21670, + "å¼Ģå¿ĥ": 21671, + "ieval": 21672, + "isset": 21673, + "çŃīå¾ħ": 21674, + "ĠLeft": 21675, + ",{\\": 21676, + "Ġchurches": 21677, + "ĠÑģледва": 21678, + "è¡¥åħħ": 21679, + "ustomed": 21680, + "Ġdecreases": 21681, + "eren": 21682, + "Ġresponded": 21683, + "ĠSciences": 21684, + "rez": 21685, + "aceae": 21686, + "类似": 21687, + "Ġ[],": 21688, + "having": 21689, + "obby": 21690, + "pattern": 21691, + "boards": 21692, + "ĠInterest": 21693, + "åľ¨ä¸ŃåĽ½": 21694, + "Ġadapted": 21695, + "ĠавÑĤо": 21696, + "ĠопÑĢеде": 21697, + "Ġdamp": 21698, + "Ġfiction": 21699, + "ĠĠĠĠĠĠ|": 21700, + "Ġбли": 21701, + "wear": 21702, + "Ġtune": 21703, + "especially": 21704, + "Ġnetworking": 21705, + "Ġcancell": 21706, + "Ġambigu": 21707, + "Alex": 21708, + "Ġestudiar": 21709, + "æ²ĥ": 21710, + "Ġregulation": 21711, + "Ġinsights": 21712, + "Ġruntime": 21713, + "elfare": 21714, + "icament": 21715, + "Ġ'.": 21716, + "弯": 21717, + "phrase": 21718, + "Ġprimeres": 21719, + "ĠSN": 21720, + "wt": 21721, + "³³³³": 21722, + "ĠCel": 21723, + "ĠFrancesc": 21724, + "å½¹": 21725, + "ç®Ĺæĺ¯": 21726, + "çĶŁéķ¿": 21727, + "Ġidle": 21728, + "Ġassault": 21729, + "Ġmatt": 21730, + "ĠTransport": 21731, + "被åijĬ": 21732, + "Ġgeneralized": 21733, + "ĠSupreme": 21734, + "Ġsquad": 21735, + "èĥ½éĩı": 21736, + "亩": 21737, + "ĠAgr": 21738, + "å¹¿æ³Ľ": 21739, + "Ġ'%": 21740, + "ĠConnection": 21741, + "cpu": 21742, + "Ġminimize": 21743, + "ĠcarÃłct": 21744, + "ĠImp": 21745, + "mf": 21746, + "Ġprescription": 21747, + "epend": 21748, + "åĪĻæĺ¯": 21749, + "Collections": 21750, + "Ġmuscles": 21751, + "Ġcoin": 21752, + "Ġmotors": 21753, + "ç»ĨèĬĤ": 21754, + "åį°åº¦": 21755, + "Ġdisaster": 21756, + "Ġesport": 21757, + "Ġentities": 21758, + "Ġwinds": 21759, + "Ġrealitz": 21760, + "ĠTouch": 21761, + "*.": 21762, + "itas": 21763, + "ĠTell": 21764, + "Ġinaug": 21765, + "ĠClean": 21766, + "ĠChem": 21767, + "ĠXina": 21768, + "cursor": 21769, + "Ġinitiative": 21770, + "åĬĽåº¦": 21771, + "Ġverified": 21772, + "ĠEvents": 21773, + "ĠÑģÑĬвеÑĤ": 21774, + "Cluster": 21775, + "ĠGrace": 21776, + "instein": 21777, + "(.": 21778, + "ogu": 21779, + "寻æī¾": 21780, + "aman": 21781, + "quire": 21782, + "Private": 21783, + "ÐŀÑĤ": 21784, + "Ġrecre": 21785, + "对æѤ": 21786, + "longrightarrow": 21787, + "Escriptors": 21788, + "вÑĢемен": 21789, + "çļĦ设计": 21790, + "ceiver": 21791, + "Db": 21792, + "xxx": 21793, + "Ġpatience": 21794, + "ický": 21795, + "gather": 21796, + "Ġrecom": 21797, + "\"].": 21798, + "Ġpackets": 21799, + "åijĢ": 21800, + "Ro": 21801, + "æ": 21802, + "ĠAppro": 21803, + "Ġguides": 21804, + "vard": 21805, + "Ġformació": 21806, + "Ġnp": 21807, + "viar": 21808, + "uation": 21809, + "season": 21810, + "ĠпÑĢаво": 21811, + "èħĶ": 21812, + "xe": 21813, + "ĠEmer": 21814, + "Material": 21815, + "Ġpromotion": 21816, + "Ġswitches": 21817, + "Ġsigning": 21818, + "Ġwavelength": 21819, + "prison": 21820, + "autor": 21821, + "Ġmelt": 21822, + "å¾Ī好çļĦ": 21823, + "大åĪ©": 21824, + "大å¹ħ": 21825, + "LOC": 21826, + "Ġdoub": 21827, + "Ġciutats": 21828, + "Headers": 21829, + "bone": 21830, + "Ġinhabitants": 21831, + "ä¼ijæģ¯": 21832, + "yecto": 21833, + "junit": 21834, + "ĠCredit": 21835, + "footnotes": 21836, + "Ġsophistic": 21837, + "Ġoperated": 21838, + "ĠSerial": 21839, + "ĠInfo": 21840, + "agged": 21841, + "hores": 21842, + "гÑĢе": 21843, + "ĠCOL": 21844, + "Ġportar": 21845, + "åħ»èĢģ": 21846, + "MODE": 21847, + "Ġdetermines": 21848, + "COM": 21849, + "å¾Ī大çļĦ": 21850, + "safe": 21851, + "Ġresidual": 21852, + "Ġindul": 21853, + "ĠReading": 21854, + "tha": 21855, + "Ġredirect": 21856, + "Ġsep": 21857, + "pending": 21858, + "Ġnewest": 21859, + "Ġcopied": 21860, + "istance": 21861, + "erta": 21862, + "Ġcreatures": 21863, + "ĠAlemanya": 21864, + "auty": 21865, + "Ġpand": 21866, + "Ġnave": 21867, + "Ġtournament": 21868, + "ĠCosta": 21869, + "åĩłå¤©": 21870, + "ambién": 21871, + "æµħ": 21872, + "Xi": 21873, + "ç»ĺ": 21874, + "price": 21875, + "cuts": 21876, + "éĥ½çŁ¥éģĵ": 21877, + "æ¤ħ": 21878, + "matical": 21879, + "ĠOnt": 21880, + "Ġink": 21881, + "ÑģÑĤиÑĤÑĥ": 21882, + "reduc": 21883, + "ĠAtlantic": 21884, + "ĠTarget": 21885, + "Ġcorrections": 21886, + "ĠSide": 21887, + "ĠCover": 21888, + "np": 21889, + "Ġdropping": 21890, + "åĴĸ": 21891, + "springframework": 21892, + "Information": 21893, + "çīĪæľ¬": 21894, + "Ġaimed": 21895, + "丢": 21896, + "plant": 21897, + "Ġbeef": 21898, + "iformes": 21899, + "ecess": 21900, + "Ġmodification": 21901, + "ĠManufact": 21902, + "Ha": 21903, + "lb": 21904, + "Ġimg": 21905, + "Ġbrick": 21906, + "Ġexplic": 21907, + "Ġcontributed": 21908, + "çݯèĬĤ": 21909, + "isen": 21910, + "天ä¸ĭ": 21911, + "úst": 21912, + "Ġapar": 21913, + "ĠHold": 21914, + "ĠBull": 21915, + "Ġamend": 21916, + "positor": 21917, + "Ġpalace": 21918, + "ĠLocation": 21919, + "Ġreadonly": 21920, + "Ġprovince": 21921, + "å½ĵäºĭ": 21922, + "Ġranks": 21923, + "Ġllind": 21924, + "ĉ};": 21925, + ":[": 21926, + "åıĤèĢĥ": 21927, + "Cent": 21928, + "ĠCarles": 21929, + "writ": 21930, + "ç¨Ģ": 21931, + "èģĶ缣": 21932, + "ieres": 21933, + "ç«ĭåį³": 21934, + "好åĥı": 21935, + "Ġmassa": 21936, + "(--": 21937, + ",\\,\\": 21938, + "ĠSEO": 21939, + "ĠAvailable": 21940, + "zar": 21941, + "Profess": 21942, + "achel": 21943, + "jat": 21944, + "воÑĢе": 21945, + "AU": 21946, + "Ġburned": 21947, + "ĠConsole": 21948, + "route": 21949, + "conc": 21950, + "Ġsisters": 21951, + "Ġfrancesos": 21952, + "maven": 21953, + "mation": 21954, + "Ġlabeled": 21955, + "Ġeg": 21956, + "eur": 21957, + ",(": 21958, + "mathop": 21959, + "åı¯èĥ½æĺ¯": 21960, + "\"],": 21961, + "VO": 21962, + "ÑĤаÑĤ": 21963, + "Ġrefund": 21964, + "æ°´æŀľ": 21965, + "åĽĽå·Ŀ": 21966, + "?!": 21967, + "ĠInv": 21968, + "太å¤ļ": 21969, + "Ġcounting": 21970, + "Members": 21971, + "ĠÑĪа": 21972, + "ĠMI": 21973, + "Ġdestru": 21974, + "oco": 21975, + "Ġcomte": 21976, + "ĠAlb": 21977, + "Cert": 21978, + "Ġconsultation": 21979, + "Ġneur": 21980, + "çĶµåķĨ": 21981, + "Ġ\"\";": 21982, + "defin": 21983, + "Ġpossessed": 21984, + "ĠRC": 21985, + "atr": 21986, + "Ġflowing": 21987, + "å¼Ĺ": 21988, + "ĠProf": 21989, + "Ġnan": 21990, + "GM": 21991, + "ressos": 21992, + "icis": 21993, + "dag": 21994, + "ä¸ŃéĹ´": 21995, + "Ps": 21996, + "æľĢæĸ°": 21997, + "è´¢æĶ¿": 21998, + "Ġvarieties": 21999, + "Ġmonumental": 22000, + "éħ·": 22001, + "Ġconservation": 22002, + "Need": 22003, + "Ġmembr": 22004, + "Ġhumor": 22005, + "ĠWalter": 22006, + "rir": 22007, + "Mag": 22008, + "Ġcoment": 22009, + "Ġseal": 22010, + "Ġdefeat": 22011, + "Ġcorrespondence": 22012, + "GT": 22013, + "Ġidentifying": 22014, + "ÙĦ": 22015, + "Native": 22016, + "Ġseated": 22017, + "Ġcharacterized": 22018, + "@{": 22019, + "Ġsofa": 22020, + "æ¹ĺ": 22021, + "ĠÑĥÑĩилиÑīе": 22022, + "ĠWE": 22023, + "sus": 22024, + "ä»ĸ人": 22025, + "ĠAgency": 22026, + "Ġ[-": 22027, + "Ġdumpster": 22028, + "ĠEver": 22029, + "undry": 22030, + "Ġbother": 22031, + "è¡Ĺéģĵ": 22032, + "Ġidx": 22033, + "нова": 22034, + "ĠFlow": 22035, + "è¢Ń": 22036, + "Ġpatent": 22037, + "Ġexperiencing": 22038, + "ÑģÑĤÑĢÑĥ": 22039, + "Ġmercy": 22040, + "ĠUV": 22041, + "oqu": 22042, + "ètic": 22043, + "èĢĮä¸į": 22044, + "å¼ĢåIJ¯": 22045, + "urus": 22046, + "æłı": 22047, + "quier": 22048, + "resize": 22049, + "Ġeffectiveness": 22050, + "Ġcapacit": 22051, + "maps": 22052, + "ĠÑĨÑı": 22053, + "changes": 22054, + "contrib": 22055, + "basic": 22056, + "ĠGirl": 22057, + "Special": 22058, + "BAR": 22059, + "Role": 22060, + "adèmia": 22061, + "Ġtwist": 22062, + "hops": 22063, + "Ġskilled": 22064, + "Ġsympathy": 22065, + "Ġactivitats": 22066, + "Ġui": 22067, + "ĉ*": 22068, + "arthe": 22069, + "Ġshutdown": 22070, + "working": 22071, + "Ġdialogue": 22072, + "Ġmedi": 22073, + "ĠThings": 22074, + "Ġpunct": 22075, + "Ġgang": 22076, + "çİ»çĴĥ": 22077, + "ĠMos": 22078, + "Ġbisbe": 22079, + "ĠMuch": 22080, + "enciÃł": 22081, + "ĠArizona": 22082, + "Ġpulling": 22083, + "ĠмÑĬ": 22084, + "Ġnormalized": 22085, + "è´§å¸ģ": 22086, + "VIDIA": 22087, + "éĿ¢åīį": 22088, + "constraint": 22089, + "Ġthunder": 22090, + "Ġsurf": 22091, + "ĠТи": 22092, + "пад": 22093, + "Ġbeloved": 22094, + "-------": 22095, + "æĭĽèģĺ": 22096, + "Ġtopology": 22097, + "Ġpassengers": 22098, + "Ġdock": 22099, + "Ġnu": 22100, + "ĠиÑģÑĤоÑĢи": 22101, + "Ġvaries": 22102, + "ÑĤалиÑı": 22103, + "çĬ¹": 22104, + "æĢĴ": 22105, + "Ġdeviation": 22106, + "Ġphoton": 22107, + "Ma": 22108, + "ĠEarly": 22109, + "Ġengaging": 22110, + "STRING": 22111, + "Ġfluctuations": 22112, + "ĠCrit": 22113, + "odel": 22114, + "æł·åŃIJ": 22115, + "Ġprops": 22116, + "ĠMom": 22117, + "Ġcollective": 22118, + "çļĦæľĭåıĭ": 22119, + "Bro": 22120, + "ĠNat": 22121, + "ĠKorea": 22122, + "ÑĤоÑĢаÑĤа": 22123, + "ĠIron": 22124, + "Ġfons": 22125, + "ĠÑĤеле": 22126, + "è¯Ħ论": 22127, + "Bal": 22128, + "Ġtravelling": 22129, + "footnotesize": 22130, + "eve": 22131, + "---------": 22132, + "éĢ¼": 22133, + "åĩºè¡Į": 22134, + "ĠDNA": 22135, + "Ġvirtually": 22136, + "edes": 22137, + "Ġestudiant": 22138, + "åįģäºĮ": 22139, + "ÑĢани": 22140, + "Ġcompile": 22141, + "ĠScan": 22142, + "Ġtomb": 22143, + "ymmetry": 22144, + "below": 22145, + "Soft": 22146, + "é£ŁçĶ¨": 22147, + "ĠBR": 22148, + "ĠSix": 22149, + "Ġafect": 22150, + "ĠVegas": 22151, + "Ġdisappointed": 22152, + "optional": 22153, + "çĹĽèĭ¦": 22154, + "ĠNik": 22155, + "Ġells": 22156, + "å®ł": 22157, + "young": 22158, + "Ġrectangular": 22159, + "ĠPhone": 22160, + "slice": 22161, + "æĬ¼": 22162, + "occ": 22163, + "ĠRS": 22164, + "Ġmayor": 22165, + "pit": 22166, + "ĠHER": 22167, + "Ġroutes": 22168, + "Abs": 22169, + "opts": 22170, + "ĠDespite": 22171, + "Ġposteriorment": 22172, + "Ġcave": 22173, + "mateix": 22174, + "COMM": 22175, + "财产": 22176, + "æľºåľº": 22177, + "лекÑģанд": 22178, + "ĠItem": 22179, + "亿ç¾İåħĥ": 22180, + "dbo": 22181, + "Ġtransitions": 22182, + "Ġепи": 22183, + "ĠSuccess": 22184, + "带æĿ¥çļĦ": 22185, + "ä¼ļåľ¨": 22186, + "ĠDES": 22187, + "é«ĺèĢĥ": 22188, + "满æĦı": 22189, + "learning": 22190, + "Ġmuseum": 22191, + "Ġestablishment": 22192, + "!]": 22193, + "Ġvaix": 22194, + "Ġentrar": 22195, + "çī©æµģ": 22196, + "atio": 22197, + "Ġactively": 22198, + "æĪIJ为äºĨ": 22199, + "Ġwhispered": 22200, + "åķĨåĬ¡": 22201, + "å¹¿åľº": 22202, + "èĤĸ": 22203, + "æľºæ¢°": 22204, + "Ġ=========": 22205, + "echa": 22206, + "ĠPE": 22207, + "amazon": 22208, + "Ġfrank": 22209, + "compiler": 22210, + "Aj": 22211, + "Ġmature": 22212, + "Ġconjug": 22213, + "年代": 22214, + "ĠÑģмÑĬÑĢÑĤ": 22215, + "Focus": 22216, + "Ġepoch": 22217, + "ĠProb": 22218, + "ĠBos": 22219, + "è¾ŀ": 22220, + "è¿ĽæŃ¥": 22221, + "èĤļ": 22222, + "åģļåĩº": 22223, + "æĹłäºº": 22224, + "ĠMargaret": 22225, + "indexOf": 22226, + "Ġvolunteer": 22227, + "注åĨĮ": 22228, + "Begin": 22229, + "Ñĩинали": 22230, + "Ġmysterious": 22231, + "Ġpi": 22232, + "Ġsolder": 22233, + "ĠBry": 22234, + "Ġsouls": 22235, + "ropol": 22236, + "ete": 22237, + "Ġacquisition": 22238, + "ĠPennsylvania": 22239, + "éĶ»": 22240, + "æĸĩåŃĹ": 22241, + "Namespace": 22242, + "ĠÑĢÑĬко": 22243, + "Ġvocal": 22244, + "Ġtargeted": 22245, + "Ġeso": 22246, + "Ġhex": 22247, + "ĠUpon": 22248, + "éģµ": 22249, + "why": 22250, + "Ġcone": 22251, + "sbin": 22252, + "Ġequips": 22253, + "ĠTar": 22254, + "åıįæĺł": 22255, + "éĢīæīĭ": 22256, + "æĥ³è±¡": 22257, + "第ä¸Ģ个": 22258, + "subsec": 22259, + "Ġproductes": 22260, + "Ġawkward": 22261, + "ĠMs": 22262, + "Ġsystematic": 22263, + "Ġarrange": 22264, + "ICK": 22265, + "Prior": 22266, + "native": 22267, + "Ġglobe": 22268, + "Ġengineer": 22269, + "ĠCad": 22270, + "ä»ĸ说": 22271, + "ĠLimited": 22272, + "Ġjail": 22273, + "Ġtopological": 22274, + "analy": 22275, + "ueba": 22276, + "Ġhandles": 22277, + "hw": 22278, + "Mouse": 22279, + "umble": 22280, + "aval": 22281, + "XXXX": 22282, + "ĠEthernet": 22283, + "Ġад": 22284, + "ĠMorgan": 22285, + "eron": 22286, + "Ġruin": 22287, + "riculum": 22288, + "Ġselector": 22289, + "ĠAllen": 22290, + "elements": 22291, + "缺ä¹ı": 22292, + "åĩºçİ°äºĨ": 22293, + "\"},": 22294, + "åIJĦ个": 22295, + "asting": 22296, + "饼": 22297, + "ĠValent": 22298, + "Mi": 22299, + "Ġcats": 22300, + "Ġlogger": 22301, + "Ġvuit": 22302, + "Ġcontinuar": 22303, + "Ġwicked": 22304, + "OST": 22305, + "Ġcriter": 22306, + "Ġours": 22307, + "祥": 22308, + "ĠLarge": 22309, + "iren": 22310, + "rá": 22311, + "ĠDepends": 22312, + "cions": 22313, + "inals": 22314, + "ä¿¡å¿ĥ": 22315, + "ĠFal": 22316, + "mentioned": 22317, + "Ġcreix": 22318, + "ĠCer": 22319, + "åĬłéĢŁ": 22320, + "æĹłè®ºæĺ¯": 22321, + "Ġ<=Ġ": 22322, + "ĠDIS": 22323, + "achelor": 22324, + "Tags": 22325, + "raise": 22326, + "ĠHouston": 22327, + "Ġoverhead": 22328, + "çļĦåŁºç¡Ģ": 22329, + "Ġutilitzar": 22330, + "çĶ·åŃIJ": 22331, + "зова": 22332, + "Ġtimestamp": 22333, + "ĠIdeas": 22334, + "Ġdrum": 22335, + "Ġsketch": 22336, + "ĠпÑĢедÑģÑĤав": 22337, + "Folder": 22338, + "ä¸įæĥ³": 22339, + "Ġinspir": 22340, + "Ġconquer": 22341, + "tu": 22342, + "æ¼Ĥ亮": 22343, + "å¿Į": 22344, + "ĠThread": 22345, + "ensing": 22346, + "Ġslower": 22347, + "imated": 22348, + "Ġdebe": 22349, + "è¿Ī": 22350, + "Ġabsorption": 22351, + "ĠMind": 22352, + "ä¹Ķ": 22353, + "Ġwholly": 22354, + "åĮ¹": 22355, + "nea": 22356, + "Lemma": 22357, + "åħģ": 22358, + "Ġfs": 22359, + "Ġcoins": 22360, + "Ġtema": 22361, + "emperature": 22362, + "ogonal": 22363, + "retched": 22364, + "react": 22365, + "atius": 22366, + "ĠFiles": 22367, + "ĠMinistry": 22368, + "Ġvintage": 22369, + "Language": 22370, + "Ġhind": 22371, + "Scal": 22372, + "Ġsalary": 22373, + "Ġol": 22374, + "è¡Įæĥħ": 22375, + "Ġllocs": 22376, + "Ġexclusively": 22377, + "six": 22378, + "éķ¿æ²Ļ": 22379, + "Ġdelivering": 22380, + "èĭ±è¯Ń": 22381, + "Ġswitched": 22382, + "Ġcomerç": 22383, + "ĠMarie": 22384, + "ĠBishop": 22385, + "spin": 22386, + "Ġcompositor": 22387, + "TRUE": 22388, + "icia": 22389, + "andal": 22390, + "Ġportable": 22391, + "ĠReial": 22392, + "Ġoral": 22393, + "ĠSyn": 22394, + "ureau": 22395, + "addy": 22396, + "ĠHDD": 22397, + "累计": 22398, + "ĠSingapore": 22399, + "Ġcomma": 22400, + "еÑĢÑĨо": 22401, + "Ġhorrible": 22402, + "Ġtriangle": 22403, + "Ġthickness": 22404, + "èĤª": 22405, + "Ġconfront": 22406, + "ĠÐĴо": 22407, + "Ġtransformed": 22408, + "ĠOfficer": 22409, + "Ġопи": 22410, + "ä¸ĵéŨ": 22411, + "ugg": 22412, + "Ġate": 22413, + "æľīæŶ": 22414, + "----\"": 22415, + "Ġsoup": 22416, + "union": 22417, + "йÑģкиÑı": 22418, + "ĠBird": 22419, + "Ġsuppliers": 22420, + "Ġmitjans": 22421, + "Ġcuriosity": 22422, + "atomic": 22423, + "èg": 22424, + "ĠRecord": 22425, + "Uri": 22426, + "ĠNi": 22427, + ")--(": 22428, + "Ġgardens": 22429, + "\\!\\": 22430, + "ÑĢин": 22431, + "ä¸įèµ·": 22432, + "nl": 22433, + "ĠNevertheless": 22434, + "温æļĸ": 22435, + "Ġlemon": 22436, + "айн": 22437, + "ĠNig": 22438, + "表éĿ¢": 22439, + ")}_": 22440, + "upper": 22441, + "went": 22442, + "Ġscattered": 22443, + "èݲ": 22444, + "Ġracing": 22445, + "ĠGO": 22446, + "Ġhem": 22447, + "rett": 22448, + "obi": 22449, + "Esport": 22450, + "ENSE": 22451, + "Produ": 22452, + "èĦĤèĤª": 22453, + "Orient": 22454, + "ĠнÑıкои": 22455, + "Ġrecommendation": 22456, + "Ġinhib": 22457, + "animation": 22458, + "Ġdemost": 22459, + "Ġcure": 22460, + "Ġchronic": 22461, + "ÑĥÑģ": 22462, + "æħĪ": 22463, + "Ġwarranty": 22464, + "诱": 22465, + "Ġoldest": 22466, + "Ġsplendid": 22467, + "Ġcombining": 22468, + "ĠPakistan": 22469, + "ĠобÑı": 22470, + "å¾ĭå¸Ī": 22471, + "destroy": 22472, + "ä¸Ģ份": 22473, + "йни": 22474, + ".....": 22475, + "é«ĺæł¡": 22476, + "LOW": 22477, + "ĠWars": 22478, + "grades": 22479, + "async": 22480, + "evol": 22481, + "ê": 22482, + "ĠCape": 22483, + "ĠиÑģÑĤоÑĢиÑı": 22484, + "çĩķ": 22485, + "æħİ": 22486, + "ĠCampionat": 22487, + "apare": 22488, + "Super": 22489, + "Ġanomenada": 22490, + "Ġdirt": 22491, + "Sam": 22492, + "表æ¼Ķ": 22493, + "ä¸Ģ线": 22494, + "umped": 22495, + "è¿Ļä¹Łæĺ¯": 22496, + "unders": 22497, + "Hit": 22498, + "大åŀĭ": 22499, + "orus": 22500, + "Ġsuited": 22501, + "ĠStruct": 22502, + "Ġclone": 22503, + "Ġdispers": 22504, + "Ġгене": 22505, + "Ġclasse": 22506, + "Institut": 22507, + "Word": 22508, + "Ġcompression": 22509, + "ĠAlways": 22510, + "ĠGate": 22511, + "xtures": 22512, + "Ġemerging": 22513, + "Ġphysician": 22514, + "Ġconced": 22515, + "åį°è±¡": 22516, + "TB": 22517, + "Ġpromises": 22518, + "Ġinterference": 22519, + "æ¯ı个人": 22520, + "åľ¨æѤ": 22521, + "èIJĿ": 22522, + "Ġvalign": 22523, + "ĠPont": 22524, + "shal": 22525, + "ĠPatrick": 22526, + "inx": 22527, + "èĢģå¹´": 22528, + "Ġparad": 22529, + "ĠKansas": 22530, + "Ġcleared": 22531, + "缸åIJĮ": 22532, + "èij¡": 22533, + "Ġpresentar": 22534, + "ÑĩиÑĤелно": 22535, + "ĠPlayer": 22536, + "Ġdowntown": 22537, + "Ġrotate": 22538, + "çŀ¬": 22539, + "teriors": 22540, + "Ġinvestigated": 22541, + "ĠSoci": 22542, + "']['": 22543, + "oids": 22544, + "Pers": 22545, + "ĠÑģвеÑĤовна": 22546, + "Ġsubstitute": 22547, + "Ġcomarca": 22548, + "Ġexcell": 22549, + "Ġmascul": 22550, + "Ġcontemporanis": 22551, + "ĠRail": 22552, + "ĠMoore": 22553, + "ENC": 22554, + "âĢ³": 22555, + "Ġmodest": 22556, + "ä¾Ŀæį®": 22557, + "ĠSIZE": 22558, + "ÑģÑĤига": 22559, + "Ġinsult": 22560, + "é¦ĸ次": 22561, + "ĠоÑĢганиза": 22562, + "Ġsetman": 22563, + "Texture": 22564, + "ugs": 22565, + "ĠLess": 22566, + "éĽķ": 22567, + "Ġpromising": 22568, + "athy": 22569, + "ĠEmpire": 22570, + "Ġcompound": 22571, + "Ġabandoned": 22572, + "rò": 22573, + "amba": 22574, + "communic": 22575, + "ĠSomething": 22576, + "ĠPerformance": 22577, + "Registry": 22578, + "Ġ\"\",": 22579, + "Ġhighlights": 22580, + "chair": 22581, + "ĠMoney": 22582, + "ĠJapó": 22583, + "μ": 22584, + "ĉĠĠĠĠĠĠĠ": 22585, + "Ġfolk": 22586, + ":.": 22587, + "è¿ŀæİ¥": 22588, + "ĠMiami": 22589, + "ç§įæ¤į": 22590, + "Ġvotes": 22591, + "suario": 22592, + "Year": 22593, + "Ġcontinuously": 22594, + "lest": 22595, + "годи": 22596, + "èĤ¡å¸Ĥ": 22597, + "oning": 22598, + "integer": 22599, + "denly": 22600, + "Ġconject": 22601, + "ÑĢÑıбва": 22602, + "Ġviolation": 22603, + "nik": 22604, + "Hey": 22605, + "Ġnucl": 22606, + "ĠSafari": 22607, + "леми": 22608, + "Ġdegrad": 22609, + "Ġtener": 22610, + "ĠаÑĢмиÑı": 22611, + "ĠConserv": 22612, + "umping": 22613, + "è¶ħ级": 22614, + "Ġfires": 22615, + "Ġhurried": 22616, + "ĠCasino": 22617, + "Ġnuevo": 22618, + "ĠPil": 22619, + "Contents": 22620, + "Ġjoke": 22621, + "Ġhandy": 22622, + "确认": 22623, + "Ġfinishing": 22624, + "ĠÐĵеÑĢманиÑı": 22625, + "Ġphotographs": 22626, + "ĠPrior": 22627, + "online": 22628, + "Ġwashing": 22629, + "AX": 22630, + "Ġ}{": 22631, + "aza": 22632, + "ĠVisit": 22633, + "business": 22634, + "Ġdespair": 22635, + "Ġinterpreted": 22636, + "Ġfeeding": 22637, + "Ġ\\&": 22638, + "èĤ¡ä»·": 22639, + "Ġgover": 22640, + "òbils": 22641, + "coll": 22642, + "udd": 22643, + "Ġenabling": 22644, + "resolve": 22645, + "ĠWy": 22646, + "eval": 22647, + "\\}\\": 22648, + "duration": 22649, + "ĠÑĢежи": 22650, + "ĠInitial": 22651, + "oval": 22652, + "лиÑģÑĤи": 22653, + "Ġgloom": 22654, + "æĥħåĨµä¸ĭ": 22655, + "}_{-": 22656, + "ĠTrade": 22657, + "ĠBot": 22658, + "ĠFollowing": 22659, + "ĠHur": 22660, + "å©´": 22661, + "ĠJosh": 22662, + "磼": 22663, + "Basic": 22664, + "Ġtension": 22665, + "oure": 22666, + "Ġclosure": 22667, + "ĠCort": 22668, + "Lower": 22669, + "ĠSierra": 22670, + "arte": 22671, + "AMES": 22672, + "onès": 22673, + "даÑĤел": 22674, + "uning": 22675, + "emen": 22676, + "Ġllum": 22677, + "ĠEstoy": 22678, + "è¿ijæľŁ": 22679, + "xty": 22680, + "Ġplata": 22681, + "æĽ´å¥½çļĦ": 22682, + "åħ±äº«": 22683, + "è¿ĩæĿ¥": 22684, + "Ġcush": 22685, + "wi": 22686, + "erald": 22687, + "Ġèpoca": 22688, + "Generator": 22689, + "Depend": 22690, + "Ġexpanding": 22691, + "ä¹īåĬ¡": 22692, + "ĠFeatures": 22693, + "ÛĮ": 22694, + "Ġlid": 22695, + "rx": 22696, + "TON": 22697, + "Ġinduction": 22698, + "oming": 22699, + "Âłcm": 22700, + "Ġbrid": 22701, + "Ġcollapse": 22702, + "æĢ§æł¼": 22703, + "ĠTerra": 22704, + "Ġplacement": 22705, + "Render": 22706, + "Ġtheatre": 22707, + "mv": 22708, + "ĠðŁĻ": 22709, + "ĠProtection": 22710, + "丰å¯ĮçļĦ": 22711, + "Features": 22712, + "Ġward": 22713, + "Normal": 22714, + "Ġdesigners": 22715, + "Ġembarrass": 22716, + "Ġoffensive": 22717, + "è¿Ľåı£": 22718, + "Ġpending": 22719, + "iolet": 22720, + "interior": 22721, + "Ġbarrier": 22722, + "Bind": 22723, + "ĠWolf": 22724, + "Ġescola": 22725, + "ä¸įéĶĻçļĦ": 22726, + "Ġchunk": 22727, + "Ġjustify": 22728, + "abc": 22729, + "plementation": 22730, + "æĽ´æĸ°": 22731, + "ĠPackages": 22732, + "åİŁæĸĩåľ°åĿĢ": 22733, + "Ġfilesystem": 22734, + "Ġber": 22735, + "Ġsilk": 22736, + "happ": 22737, + "ĠTai": 22738, + "ç¾½": 22739, + "示èĮĥ": 22740, + "Ġillustrate": 22741, + "esos": 22742, + "ĠWikipedia": 22743, + "Ġlawn": 22744, + "sig": 22745, + "Ġnicely": 22746, + "Ġspecification": 22747, + "ä¿¡çĶ¨": 22748, + "ĠKate": 22749, + "ĠLandroid": 22750, + "ichael": 22751, + "lights": 22752, + "Ġatom": 22753, + "ÑĢон": 22754, + "othy": 22755, + "SSL": 22756, + "ç»Ļ大家": 22757, + "Ġĉ": 22758, + "Ġaccent": 22759, + "yme": 22760, + "ĠJoin": 22761, + "ĠEnjoy": 22762, + "ĠVillage": 22763, + "Ġlimiting": 22764, + "David": 22765, + "Ġintroducing": 22766, + "Ġsurvival": 22767, + "Ġexercises": 22768, + "ĠDuc": 22769, + "èµĶåģ¿": 22770, + "Ġjealous": 22771, + "Ġshake": 22772, + "ounces": 22773, + "Ġfloors": 22774, + "runtime": 22775, + "CUR": 22776, + "Ġpier": 22777, + "Ġpractically": 22778, + "éĻµ": 22779, + "Ġан": 22780, + "Ġpose": 22781, + "arter": 22782, + "Ġexisted": 22783, + "gebras": 22784, + "running": 22785, + "Ġnaked": 22786, + "Ġllista": 22787, + "Ġsatellite": 22788, + "ç¼Ŀ": 22789, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 22790, + "ĠWine": 22791, + "Ġbeings": 22792, + "виÑģи": 22793, + "VP": 22794, + "ĠTé": 22795, + "åį§": 22796, + "Ġcomplaint": 22797, + "Gal": 22798, + "Ġcompiler": 22799, + "ÑĨеÑĢ": 22800, + "Ġbooking": 22801, + "èī°": 22802, + "ĠThird": 22803, + "ĠMediterr": 22804, + "åŁºäºİ": 22805, + "Ïħ": 22806, + "Comm": 22807, + "æĸ°èĥ½æºIJ": 22808, + "Ġprisoners": 22809, + "ä¸įåľ¨": 22810, + "天津": 22811, + "нан": 22812, + "æĪªèĩ³": 22813, + "Limit": 22814, + "MY": 22815, + "Ġrefr": 22816, + "orb": 22817, + "feed": 22818, + "Methods": 22819, + "åįĹ京": 22820, + "åIJĥé¥Ń": 22821, + "Ġdrets": 22822, + ":'": 22823, + "Sample": 22824, + "ĠTx": 22825, + "ĠBB": 22826, + "ĠWireless": 22827, + "æ»ļ": 22828, + "ĠKhan": 22829, + "aquests": 22830, + "ĠMeg": 22831, + "Ġkindness": 22832, + "Ġratings": 22833, + "Ġadvertis": 22834, + "éĥ¨ç½²": 22835, + "æ¯ģ": 22836, + "Ġstern": 22837, + "æĬĬæı¡": 22838, + "liminary": 22839, + "Ġcooked": 22840, + "bank": 22841, + "ĠEth": 22842, + "Ñĩели": 22843, + "Ġnavigate": 22844, + "tv": 22845, + "Ġcollision": 22846, + "çľī": 22847, + "keeper": 22848, + "è´¢å¯Į": 22849, + "Ġcreació": 22850, + "socket": 22851, + "roit": 22852, + "Stats": 22853, + "å®Įç¾İ": 22854, + "nÄĽ": 22855, + "ĠUtil": 22856, + "йна": 22857, + "Nothing": 22858, + "ä¸ŃåѦ": 22859, + "Ġpresum": 22860, + "дова": 22861, + "BIT": 22862, + "Ġdefence": 22863, + "Ġdecir": 22864, + "Ġvoltages": 22865, + "middle": 22866, + "(-\\": 22867, + "ä¸ļ绩": 22868, + "bye": 22869, + "èĩªè¡Į": 22870, + "Ġpap": 22871, + "Ġstro": 22872, + "天çĦ¶": 22873, + "Ġdiscre": 22874, + "ĠSpeed": 22875, + "angles": 22876, + "encs": 22877, + "Ġcategoria": 22878, + "spirit": 22879, + "Ġregistr": 22880, + "Ġqualitat": 22881, + "Ġconsciousness": 22882, + "éĤ£æł·": 22883, + "ĠVisual": 22884, + "Ġrm": 22885, + "ĠSets": 22886, + "ĠJavaScript": 22887, + "Ġrubber": 22888, + "Ġsenses": 22889, + "ieu": 22890, + "assembly": 22891, + "Ġisomorphism": 22892, + "Ġparser": 22893, + "Ġinvention": 22894, + "eland": 22895, + "Ġenum": 22896, + "Ġoperational": 22897, + "ĠWithin": 22898, + "Ġruss": 22899, + "æĦıå¤ĸ": 22900, + "Ġло": 22901, + "Ġantib": 22902, + "plier": 22903, + "Ġremainder": 22904, + "çIJ´": 22905, + "usa": 22906, + "бÑĬÑĢ": 22907, + "ĠDell": 22908, + "Ġattacked": 22909, + "ĠExp": 22910, + "Ġdose": 22911, + "Ġcontinually": 22912, + "æħ°": 22913, + "ĠVPN": 22914, + "ÑĢеÑģ": 22915, + "Ġreasoning": 22916, + "Ġjub": 22917, + "Ġsits": 22918, + "ĠGRUB": 22919, + "ä¸Ģèĩ´": 22920, + "Delegate": 22921, + "ÑĤие": 22922, + "Ġдви": 22923, + "ĠUk": 22924, + "Ġannouncement": 22925, + "structure": 22926, + "Har": 22927, + "æ²³åįĹ": 22928, + "Ġjugador": 22929, + "æĿijæ°ij": 22930, + "ĠAunt": 22931, + "sep": 22932, + "Ġstochastic": 22933, + "гава": 22934, + "Ġcelebration": 22935, + "erència": 22936, + "Ġvila": 22937, + "TI": 22938, + "Ġasymptotic": 22939, + "çĤ®": 22940, + "Emp": 22941, + "ĠSport": 22942, + "pher": 22943, + "Ġdignity": 22944, + "åĨħå¿ĥ": 22945, + "Ġschol": 22946, + "aha": 22947, + "Ġsensible": 22948, + "ulative": 22949, + "calendar": 22950, + "Ġordin": 22951, + "LED": 22952, + "cca": 22953, + "è¡Ģ液": 22954, + "Ġsynthetic": 22955, + "ĠKevin": 22956, + "ĠManchester": 22957, + "ĠVector": 22958, + "Ġenforcement": 22959, + "liga": 22960, + "Ġofficially": 22961, + "ĠHawai": 22962, + "ĠAdvent": 22963, + "ĠShel": 22964, + "harm": 22965, + "ĠUt": 22966, + "æīŃ": 22967, + "СÑĬ": 22968, + "ÐŁÐ¾Ñĩинали": 22969, + "early": 22970, + "ĠLuis": 22971, + "Ġlou": 22972, + "ĠAnnual": 22973, + "]{\\": 22974, + "ĠCV": 22975, + "éĵģè·¯": 22976, + "vens": 22977, + "ĠWales": 22978, + "assign": 22979, + "Ġredshift": 22980, + "Ġпобе": 22981, + "ĠConfiguration": 22982, + "amel": 22983, + "Complete": 22984, + "bia": 22985, + "rise": 22986, + "гÑĢаÑĦ": 22987, + "EEEE": 22988, + "ushes": 22989, + "ĠML": 22990, + "个æĢ§": 22991, + "Ġresultat": 22992, + "enz": 22993, + "常常": 22994, + "mysq": 22995, + "паÑĢ": 22996, + "ĠÑĥÑĩаÑģÑĤва": 22997, + "логиÑı": 22998, + "Ġrushed": 22999, + "compare": 23000, + "ĠLad": 23001, + "Ġgovernments": 23002, + "Ġinference": 23003, + "Ġvin": 23004, + "ĠromÃł": 23005, + "æĬĽ": 23006, + "iants": 23007, + "ç¢ij": 23008, + "Ġsimplest": 23009, + "ĠBasic": 23010, + "Ġalignment": 23011, + "ĉc": 23012, + "æIJ¬": 23013, + "åĪ©çİĩ": 23014, + "ĠÑĨи": 23015, + "backs": 23016, + "medskip": 23017, + "Ġposar": 23018, + "Ġaddressing": 23019, + "å§Ķä¼ļ": 23020, + "循çݯ": 23021, + "dash": 23022, + "Ġdiagrams": 23023, + "ĠExec": 23024, + "å¾Ī容æĺĵ": 23025, + "ĠFrances": 23026, + "Required": 23027, + "ĠVARCHAR": 23028, + "Works": 23029, + "ĠWait": 23030, + "Ġconsiderably": 23031, + "éĩĩ访": 23032, + "ĠLic": 23033, + "大ä¼ļ": 23034, + "Ġreviewed": 23035, + "PD": 23036, + "Ġsupers": 23037, + "ĠGolf": 23038, + "drive": 23039, + "ĠÑĩеÑĢ": 23040, + "Ġglasses": 23041, + "Ġcookie": 23042, + "Ġtendency": 23043, + "红èī²": 23044, + "ĠBey": 23045, + "tensor": 23046, + "Ġdelta": 23047, + "æĪĺæĸĹ": 23048, + "ĠElectric": 23049, + "ĠGPS": 23050, + "ĉĠĠĠĠĠ": 23051, + "riber": 23052, + "Ġlear": 23053, + "Ġrope": 23054, + "Ġwaist": 23055, + "Ġdiscipline": 23056, + "ĠRevolution": 23057, + "Ġappet": 23058, + "ibuix": 23059, + "Ġsovere": 23060, + "ĠBBC": 23061, + "Ġangel": 23062, + "èĢģåħ¬": 23063, + "Ġbacked": 23064, + "Ġinclined": 23065, + "ä¸Ģæł·çļĦ": 23066, + "ĠBreak": 23067, + "ĠPerò": 23068, + "ĠPick": 23069, + "ĠTok": 23070, + "ĠUncle": 23071, + "Ġacres": 23072, + "imeter": 23073, + "岩": 23074, + "Ġincent": 23075, + "ĠNewton": 23076, + "èĶ¬èıľ": 23077, + "ä¼ģä¸ļçļĦ": 23078, + "Ġcollector": 23079, + "Ġcavall": 23080, + "mot": 23081, + "Ġrefin": 23082, + "Ġtrenc": 23083, + "çada": 23084, + "æĽ´æľī": 23085, + "alert": 23086, + "ĠBL": 23087, + "ĠRu": 23088, + "Ġtouching": 23089, + "Ġinterfaces": 23090, + "ĠCow": 23091, + "åģľè½¦": 23092, + "ugu": 23093, + "æµģéĩı": 23094, + "[]{": 23095, + "lag": 23096, + "Ġbil": 23097, + "æĪijåľ¨": 23098, + "лина": 23099, + "ç«ŁçĦ¶": 23100, + "Yet": 23101, + "åı°æ¹¾": 23102, + "Ġtiles": 23103, + "Ġaudit": 23104, + "ulació": 23105, + "lotte": 23106, + "æľĢä½İ": 23107, + "ĠChoose": 23108, + "Ġsituació": 23109, + "Ñĥк": 23110, + "ç«Ļåľ¨": 23111, + "ĠнаÑĢиÑĩа": 23112, + "Ġconclusions": 23113, + "ĠFollow": 23114, + "ĠFed": 23115, + "facebook": 23116, + "缸äºĴ": 23117, + "åįľ": 23118, + "Ġformulation": 23119, + "Ġembr": 23120, + "inform": 23121, + "uela": 23122, + "кономи": 23123, + "ĠbÃłs": 23124, + "Ġregression": 23125, + "Ġquantitat": 23126, + "读书": 23127, + "employ": 23128, + "ç»´æĮģ": 23129, + "主æĮģ": 23130, + "Ġsilly": 23131, + "Ġsecund": 23132, + "Ġpine": 23133, + "Ġmapa": 23134, + "ĠAustin": 23135, + "ĠJudge": 23136, + "iars": 23137, + "agrang": 23138, + "yet": 23139, + "ĠVent": 23140, + "nan": 23141, + "æ±Łèĭı": 23142, + "ofia": 23143, + "ondon": 23144, + "Ġaria": 23145, + "Ġpackaging": 23146, + "Ġcampo": 23147, + "ibilitat": 23148, + "Ġore": 23149, + "ĠPear": 23150, + "Ġdaughters": 23151, + "ĠDOM": 23152, + "ĠParent": 23153, + "perhaps": 23154, + "Ġpersonnel": 23155, + "ĠпÑĬ": 23156, + "ĠSwitch": 23157, + "ĠPau": 23158, + "主è¦ģæĺ¯": 23159, + "Though": 23160, + "人æķ°": 23161, + "ĠAnthony": 23162, + "stick": 23163, + "Ġpunishment": 23164, + "ĠVice": 23165, + "ĠCarlos": 23166, + "esar": 23167, + "Ġllet": 23168, + "ĠReviews": 23169, + "ÑĤва": 23170, + "òbil": 23171, + "ssl": 23172, + "isco": 23173, + "Ġelementos": 23174, + "iempo": 23175, + "unted": 23176, + "åħ¨å¸Ĥ": 23177, + "ĠKal": 23178, + "Ġbooting": 23179, + "reading": 23180, + "Ġdiscussing": 23181, + "Ġexports": 23182, + "Ġfranch": 23183, + "Ġliability": 23184, + "erce": 23185, + "Ġbarg": 23186, + "åŁºå±Ĥ": 23187, + "Invent": 23188, + "åĽĽä¸ª": 23189, + "ĠHills": 23190, + "ifdef": 23191, + "consin": 23192, + "Ġreferència": 23193, + "èĬ¯": 23194, + "Ġprojected": 23195, + "Ġ/*!": 23196, + "ĠPH": 23197, + "Ġañ": 23198, + "ĠмÑĥзика": 23199, + "Ġaccommodation": 23200, + "Ġ\"%": 23201, + "SK": 23202, + "Ġdynamical": 23203, + "ppa": 23204, + "better": 23205, + "ĠWordPress": 23206, + "鸡èĽĭ": 23207, + "baix": 23208, + "ĠGPIO": 23209, + "ĠÑĤÑĢÑıбва": 23210, + "anchor": 23211, + "Ġvenue": 23212, + "elastic": 23213, + "èIJĦ": 23214, + "è¿ĺ没æľī": 23215, + "loaded": 23216, + "éĽ¾": 23217, + "enix": 23218, + "upt": 23219, + "çĸĨ": 23220, + "Ġtyping": 23221, + "Ġexceptions": 23222, + "ĠMinnesota": 23223, + "éĨī": 23224, + "Ġsocietat": 23225, + "Ġbeautifully": 23226, + "ĠMaryland": 23227, + "æŀĦæĪIJ": 23228, + "jd": 23229, + "Ġreveals": 23230, + "compl": 23231, + "éĹ®é¢ĺçļĦ": 23232, + "Ñĥм": 23233, + "çļĩå¸Ŀ": 23234, + "Camp": 23235, + "ĠSR": 23236, + "ĠÑĢазположе": 23237, + "VG": 23238, + "Ġrang": 23239, + "马ä¸Ĭ": 23240, + "encial": 23241, + "éĻ¶": 23242, + "ĠGram": 23243, + "Ġbreathing": 23244, + "âĢ¦âĢ¦": 23245, + "ĠDefinition": 23246, + "Para": 23247, + "ÙĨ": 23248, + "æĶ¶è´¹": 23249, + "说è¯Ŀ": 23250, + "çĺ¤": 23251, + "менÑĤа": 23252, + "Sequence": 23253, + "Ġclimb": 23254, + "Ġwholes": 23255, + "twitter": 23256, + "Ġnevertheless": 23257, + "ïna": 23258, + "annon": 23259, + "Ġprofits": 23260, + "Ġdans": 23261, + "Ġformulario": 23262, + "äºĨå¾Īå¤ļ": 23263, + "abad": 23264, + "èij¡èIJĦ": 23265, + "ĠpÃłg": 23266, + "ĠKit": 23267, + "声æĺİ": 23268, + "ĠÐĿикола": 23269, + "Ġparl": 23270, + "errat": 23271, + "ĠColumn": 23272, + "Ġdivisió": 23273, + "Ñıн": 23274, + "ĠÑĥби": 23275, + "Ġglow": 23276, + "Ġverse": 23277, + "complex": 23278, + "ĠBaby": 23279, + "Ġequivalence": 23280, + "urat": 23281, + "ĠEstate": 23282, + "Ġplasma": 23283, + "']);": 23284, + "Ġconjunction": 23285, + "altra": 23286, + "Ġmagnificent": 23287, + "Ġcertification": 23288, + "Ġestad": 23289, + "Ġrecruit": 23290, + "(\"/": 23291, + "Virtual": 23292, + "Learn": 23293, + "ingo": 23294, + "Ġinterpol": 23295, + "Ġtoilet": 23296, + "羣çļĦæĺ¯": 23297, + "ä¹Ļ": 23298, + "Ġearliest": 23299, + "补贴": 23300, + "ç´§å¼ł": 23301, + "å±ķçİ°": 23302, + "åī²": 23303, + "Ġbride": 23304, + "Mo": 23305, + "Ġrepairs": 23306, + "ĠArn": 23307, + "ĠMission": 23308, + "Following": 23309, + "åīª": 23310, + "ĠConvert": 23311, + "nom": 23312, + "èĢĮä¸įæĺ¯": 23313, + "getValue": 23314, + "scopic": 23315, + "Ġcust": 23316, + "ÑĤÑĥÑĢ": 23317, + "Ġministry": 23318, + "operation": 23319, + "èĦ±è´«": 23320, + "Ġendless": 23321, + "Ġdesirable": 23322, + "Ġ+=Ġ": 23323, + "лниÑı": 23324, + "Ġexcessive": 23325, + "sidebar": 23326, + "West": 23327, + "Ġcompleting": 23328, + "ĠRound": 23329, + "é¢ĨåħĪ": 23330, + "Ġadmission": 23331, + "Ġtrunc": 23332, + "Ġpública": 23333, + "Ġprecip": 23334, + "Ġinherent": 23335, + "Ġpublicly": 23336, + "Ġreceipt": 23337, + "详ç»Ĩ": 23338, + "Ц": 23339, + "Ġedat": 23340, + "istle": 23341, + ":-": 23342, + "åIJĦ项": 23343, + "Ġfirmly": 23344, + "Ġinterrupted": 23345, + "Ġcapacitors": 23346, + "Ġinvestments": 23347, + "Cu": 23348, + "æĭĮ": 23349, + "Ġbuf": 23350, + "Ġspecifications": 23351, + "Ġflights": 23352, + "ogical": 23353, + "Ġrack": 23354, + "lord": 23355, + "ĠPeters": 23356, + "Ġpopularity": 23357, + "Ġuniformly": 23358, + "éĺĶ": 23359, + "ĠScholar": 23360, + "ĠEmail": 23361, + "olas": 23362, + "ç²ĺ": 23363, + "ä¸įå¤ļ": 23364, + "ĠRs": 23365, + "Family": 23366, + "Sometimes": 23367, + "æĹħè¡Į": 23368, + "Endpoint": 23369, + "Ġtogg": 23370, + "ĠEmperor": 23371, + "ERY": 23372, + "Ġcompiled": 23373, + "took": 23374, + "simulate": 23375, + "ĠпÑĢиÑģÑĬ": 23376, + "ETA": 23377, + "Ġdecidir": 23378, + "batch": 23379, + "Indeed": 23380, + "acord": 23381, + "Ġfent": 23382, + "ANS": 23383, + "Ġlatency": 23384, + "æŁ³": 23385, + "Ġ(;": 23386, + "ĠÑĩове": 23387, + "ickets": 23388, + "Ġcomercial": 23389, + "Ġinternacionals": 23390, + "Ġsigh": 23391, + "ĠBrasil": 23392, + "çĶŁæ´»çļĦ": 23393, + "Ġquark": 23394, + "Ġstamp": 23395, + "cook": 23396, + "å¥Ī": 23397, + "ĠDraw": 23398, + "æĥij": 23399, + "unciar": 23400, + "åı¸æľº": 23401, + "Ġenthusiasm": 23402, + "dra": 23403, + "*\"": 23404, + "Ġdisrupt": 23405, + "Ġrelaxation": 23406, + "imiento": 23407, + "Ġhumble": 23408, + "estil": 23409, + "Ġgroc": 23410, + "()))": 23411, + "tb": 23412, + "åĽŀçŃĶ": 23413, + "Ġelementary": 23414, + "GH": 23415, + "restrict": 23416, + "ĠÐĺÑĤалиÑı": 23417, + "acies": 23418, + "Ġreasonably": 23419, + "èĪªç©º": 23420, + "Paul": 23421, + "åijµ": 23422, + "å°Ĩåľ¨": 23423, + "èĢĥçĶŁ": 23424, + "Ġкоман": 23425, + "Ġconservative": 23426, + "Ġheter": 23427, + "enance": 23428, + "Ġnursing": 23429, + "Ġperf": 23430, + "owski": 23431, + "binary": 23432, + "Ġdressing": 23433, + "Ġtranslated": 23434, + "çļĦä¸Ń": 23435, + "?.": 23436, + "Ġbass": 23437, + "ĠActiv": 23438, + "Ġpreceding": 23439, + "Ġartistic": 23440, + "Ġstocks": 23441, + "ĠVIII": 23442, + "Ġmassage": 23443, + "airy": 23444, + "ĠiCloud": 23445, + "lc": 23446, + "idding": 23447, + "strip": 23448, + "ĠProblem": 23449, + "å¹³æĸ¹ç±³": 23450, + "Ġtoy": 23451, + "cipl": 23452, + "-,": 23453, + "Ġdé": 23454, + "gradient": 23455, + "Desktop": 23456, + "ĠAssistant": 23457, + "Ġfoolish": 23458, + "\\/": 23459, + "Ġ'',": 23460, + "consistent": 23461, + "Ġsupper": 23462, + "uuid": 23463, + "windows": 23464, + "ĠСве": 23465, + "Ġrecru": 23466, + "Copyright": 23467, + "Ġaquell": 23468, + "Ġoxygen": 23469, + "undefined": 23470, + "Ġuk": 23471, + "æīįä¼ļ": 23472, + "Standard": 23473, + "fare": 23474, + "-.": 23475, + "priv": 23476, + "stan": 23477, + "èĬ³": 23478, + "Still": 23479, + "ĠобÑīе": 23480, + "ĠNotes": 23481, + "Ġau": 23482, + "driven": 23483, + "ĠKids": 23484, + "White": 23485, + "arith": 23486, + "ĠCell": 23487, + "æįIJ": 23488, + "ĠÃŃ": 23489, + "ä»İæĿ¥": 23490, + "Ġdwell": 23491, + "Ġaccommodate": 23492, + "LI": 23493, + "Ġfears": 23494, + "åłµ": 23495, + "ĠбÑĢаÑĤ": 23496, + "Ġlung": 23497, + "Ġconversations": 23498, + "?,": 23499, + "Html": 23500, + "©": 23501, + "antes": 23502, + "stru": 23503, + "ĠÑģÑĤÑĢанаÑĤа": 23504, + ":@": 23505, + "æĿĥåĪ©": 23506, + "Ġreligios": 23507, + "\"(": 23508, + "foreach": 23509, + "Ġcompete": 23510, + "omas": 23511, + "amination": 23512, + "Ġstolen": 23513, + "让ä»ĸ": 23514, + "glas": 23515, + "à¥": 23516, + "наÑģÑĤи": 23517, + "好好": 23518, + "ä¸ĸçķĮä¸Ĭ": 23519, + "Ġpile": 23520, + "çĽĹ": 23521, + "Generated": 23522, + "Ġfounder": 23523, + "ĠСевеÑĢна": 23524, + ";\\;\\": 23525, + "ĠSeveral": 23526, + "Ġsender": 23527, + "Ġparticipating": 23528, + "Ġcompress": 23529, + "Ġsigui": 23530, + "æĸĩåѦ": 23531, + "голÑı": 23532, + "ĠTurk": 23533, + "åĨ»": 23534, + "æľī没æľī": 23535, + "Liter": 23536, + "ĠBrun": 23537, + "abilitat": 23538, + "tle": 23539, + "endre": 23540, + "Ġrelaxed": 23541, + "Ġugly": 23542, + "æĸ¹çļĦ": 23543, + "Ġupset": 23544, + "Ġjer": 23545, + "Bound": 23546, + "ĠWr": 23547, + "Ġverbs": 23548, + "ĠClassic": 23549, + "å¾Īå°ij": 23550, + "ĠHDMI": 23551, + "çŁ¥åIJį": 23552, + "æģ¨": 23553, + "oxy": 23554, + "Ġisot": 23555, + "ĠLot": 23556, + "Ġcomposite": 23557, + "ĠHR": 23558, + "Den": 23559, + "Ġelastic": 23560, + "Ġsnapshot": 23561, + "Cursor": 23562, + "Ġsuggesting": 23563, + "Ġglorious": 23564, + "Ġalumn": 23565, + "ĠDin": 23566, + "ĠðŁĻĤ": 23567, + "Ġnearer": 23568, + "IDTH": 23569, + "æIJŃè½½": 23570, + "Ġ'';": 23571, + "Ġjue": 23572, + "Ġencryption": 23573, + "Ġdialect": 23574, + "navList": 23575, + "Ġpots": 23576, + "passed": 23577, + "åij¨è¾¹": 23578, + "ĠTyp": 23579, + "Ġadjusted": 23580, + "herical": 23581, + "ĉ[": 23582, + "Ġdominated": 23583, + "Ġга": 23584, + "ÐĿо": 23585, + "Ġrecor": 23586, + "notag": 23587, + "secret": 23588, + "доÑĢ": 23589, + "çīĪæĿĥ": 23590, + "coles": 23591, + "åıįèĢĮ": 23592, + "Ġencrypted": 23593, + "Ġmèt": 23594, + "ĠINS": 23595, + "Health": 23596, + "ĠJS": 23597, + "Ġanniversary": 23598, + "æ·±åĪ»": 23599, + "Ġcriticism": 23600, + "estudi": 23601, + "Ġformerly": 23602, + "ĠBuck": 23603, + "Ġfoam": 23604, + "âĪĴ": 23605, + "Ñģил": 23606, + "Ġimmense": 23607, + "pleasant": 23608, + "Ġyoga": 23609, + "èµł": 23610, + "ĠJay": 23611, + "pless": 23612, + "Ġavui": 23613, + "Shape": 23614, + "abol": 23615, + "ä¸Ĭä¸Ģ": 23616, + "dale": 23617, + "é¢ĦæľŁ": 23618, + "Ġextending": 23619, + "åıī": 23620, + "oport": 23621, + "Design": 23622, + "arial": 23623, + "æľī个": 23624, + "Ġeastern": 23625, + "Ġfragments": 23626, + "outube": 23627, + "Imperi": 23628, + "ä¸Ģæĺ¯": 23629, + "Ġанг": 23630, + "Ġinformació": 23631, + "Ġfusion": 23632, + "Ġmarker": 23633, + "bench": 23634, + "ĠObserv": 23635, + "Ġimplementing": 23636, + "åĽ´ç»ķ": 23637, + "effective": 23638, + "Ġarose": 23639, + "å°ıç±³": 23640, + "Ġprivilege": 23641, + "Ġmuntanya": 23642, + "ISH": 23643, + "Ġeternal": 23644, + "ä¸ĩ人": 23645, + "ĠKings": 23646, + "management": 23647, + "ĠÑĩа": 23648, + "forEach": 23649, + "ган": 23650, + "Jack": 23651, + "Ġquarters": 23652, + "éĤ»": 23653, + "rik": 23654, + "Ġgle": 23655, + "ĠNation": 23656, + "Ġactivate": 23657, + "...]": 23658, + "aci": 23659, + "ĠHit": 23660, + "ĠTalk": 23661, + "åįıè°ĥ": 23662, + "tests": 23663, + "cass": 23664, + "ographical": 23665, + "ĠGh": 23666, + "tah": 23667, + "наÑģÑı": 23668, + "Ġaunt": 23669, + "дио": 23670, + "Ġterres": 23671, + "жеÑģÑĤво": 23672, + "Ġincoming": 23673, + "ĠCNN": 23674, + "ituted": 23675, + "æĭĴç»Ŀ": 23676, + "Ġlawyers": 23677, + "factory": 23678, + "ĠLane": 23679, + "ĠGray": 23680, + "èľĤ": 23681, + "ĠBelg": 23682, + "essee": 23683, + "ĠRegional": 23684, + "Ġharsh": 23685, + "пÑĢоÑģÑĤÑĢан": 23686, + "abe": 23687, + "methods": 23688, + "ĠEve": 23689, + "Listen": 23690, + "Ġdefaults": 23691, + "наÑĤ": 23692, + "ĠMartÃŃ": 23693, + "ĠMaur": 23694, + "ĠAF": 23695, + "Ġexploration": 23696, + "+Ġ": 23697, + "Ġdawn": 23698, + "åĬŀåħ¬å®¤": 23699, + "внаÑĤа": 23700, + "ĠDomin": 23701, + "Ġacted": 23702, + "ĠизкÑĥ": 23703, + "éĶ»çĤ¼": 23704, + "ĠNev": 23705, + "ĠComment": 23706, + "gtk": 23707, + "çŁĽçĽ¾": 23708, + "ĠclÃłss": 23709, + "Ġduplicate": 23710, + "URN": 23711, + "Snap": 23712, + "åħ¬åijĬ": 23713, + "å¤Ħç½ļ": 23714, + "åħ¬çĽĬ": 23715, + "idy": 23716, + "ĠJenn": 23717, + "Ġfabulous": 23718, + "ĠPerfect": 23719, + "Ġconfusing": 23720, + "probe": 23721, + "ĠJess": 23722, + "ĠAB": 23723, + "âĦĥ": 23724, + "éĽĨä½ĵ": 23725, + "Ġparte": 23726, + "ĠclassName": 23727, + "ç²¾åĩĨ": 23728, + "鸣": 23729, + "çļĦå°±æĺ¯": 23730, + "åIJ¬åĪ°": 23731, + "annah": 23732, + "Ġblogs": 23733, + "æĺ¯éĿŀ常": 23734, + "åIJĦä½į": 23735, + "atalog": 23736, + "Ġincorporate": 23737, + "Ġgust": 23738, + "August": 23739, + "QUEST": 23740, + "å¯Ħ": 23741, + "nv": 23742, + "ноÑģÑĤи": 23743, + "ĠUnless": 23744, + "ĠÐijеÑĢ": 23745, + "éĤ¦": 23746, + "Ġmaid": 23747, + "ĠVinc": 23748, + "VALID": 23749, + "Ġarreg": 23750, + "uï": 23751, + "Ġlane": 23752, + "ĠSto": 23753, + "ĠMissouri": 23754, + "é¢ĸ": 23755, + "Ġprayers": 23756, + "espèc": 23757, + "миÑĢ": 23758, + "empresa": 23759, + "swing": 23760, + "Ġmathematical": 23761, + "Ġcoord": 23762, + "ounge": 23763, + "æľīå¤ļ": 23764, + "osph": 23765, + "åĽĬ": 23766, + "Ġacceptance": 23767, + "é£ŀæľº": 23768, + "Ġbucket": 23769, + "Ġrefriger": 23770, + "罩": 23771, + "ĠMatch": 23772, + "çĩ¥": 23773, + "Ġpromoting": 23774, + "ggreg": 23775, + "Ġpá": 23776, + "ĠÐŀб": 23777, + "éĢIJæŃ¥": 23778, + "ĠHell": 23779, + "Ġalpha": 23780, + "Az": 23781, + "Ġdbo": 23782, + "ä¿Ĭ": 23783, + "女åŃIJ": 23784, + "amar": 23785, + "лиÑģÑĤ": 23786, + "å°Ŀè¯ķ": 23787, + "Validation": 23788, + "åı¸æ³ķ": 23789, + "Ġfacilitate": 23790, + "мб": 23791, + "Ġtokens": 23792, + "Ġvoted": 23793, + "Ye": 23794, + "vect": 23795, + "Ġarque": 23796, + "letic": 23797, + "ILD": 23798, + "Ġsnd": 23799, + "Ġvisibility": 23800, + "slant": 23801, + "ateur": 23802, + "ä½ıæĪ¿": 23803, + "Returns": 23804, + "Ġannoying": 23805, + "åĩıèĤ¥": 23806, + "Ġcomport": 23807, + "raine": 23808, + "ĠArgent": 23809, + "Ġcasar": 23810, + "ĠReference": 23811, + "beg": 23812, + "ĠPrincess": 23813, + "ĠIX": 23814, + "talk": 23815, + "merge": 23816, + "Ġtremendous": 23817, + "Ġmidnight": 23818, + "ocom": 23819, + "Ġllibres": 23820, + "Cook": 23821, + "este": 23822, + "Ġprisoner": 23823, + "ä¹Łä¸įä¼ļ": 23824, + "ĠSeason": 23825, + "ĠHarris": 23826, + "Layers": 23827, + "Condition": 23828, + "Ġelif": 23829, + "Ġcampaigns": 23830, + "bid": 23831, + "äºĴåĬ¨": 23832, + "placement": 23833, + "Ġmanuscript": 23834, + "ĠÑĦÑĢен": 23835, + "offs": 23836, + "Ġuncertainties": 23837, + "Ġ\\\"": 23838, + "Ġunfortunate": 23839, + "Ġspeeds": 23840, + "'_{": 23841, + "ndrome": 23842, + "ĠнагÑĢада": 23843, + "Hom": 23844, + "March": 23845, + "åij¨åĽ´": 23846, + "èĥĢ": 23847, + "Ġslope": 23848, + "avan": 23849, + "Ġpresència": 23850, + "éĤ£ç§į": 23851, + "ĠÑĩлен": 23852, + "usió": 23853, + "ĠShakespeare": 23854, + "éĢĤå½ĵ": 23855, + "-------------": 23856, + "columns": 23857, + "elines": 23858, + "Ġatomic": 23859, + "Ġthrust": 23860, + "city": 23861, + "Ġevitar": 23862, + "Ġpseudo": 23863, + "Ġvariants": 23864, + "however": 23865, + "Ġdescriptions": 23866, + "Ġaz": 23867, + "oro": 23868, + "together": 23869, + "Ġfora": 23870, + "Ġattracted": 23871, + "ÑĦоÑĢма": 23872, + "ĠLap": 23873, + "csv": 23874, + "akh": 23875, + "Ġciv": 23876, + "OLD": 23877, + "Ġbullet": 23878, + "Ġmate": 23879, + "Ġsalut": 23880, + "Ġcob": 23881, + "паниÑı": 23882, + "Py": 23883, + "ĠForum": 23884, + "Site": 23885, + "ĠNotice": 23886, + "两ç§į": 23887, + "Unfortunately": 23888, + "Ġapost": 23889, + "Ġsubstr": 23890, + "æīĵåĩ»": 23891, + "ĠDéu": 23892, + "Ġfishes": 23893, + "Ġdeu": 23894, + "Ġhired": 23895, + "Ġtob": 23896, + "Ġpurchases": 23897, + "Ġpublishing": 23898, + "é£ĺ": 23899, + "æ°Ķè´¨": 23900, + "pci": 23901, + "åĬŁæķĪ": 23902, + "/{": 23903, + "ĠOregon": 23904, + "å´ĩ": 23905, + "ĠGrow": 23906, + "Rich": 23907, + "Ġgem": 23908, + "Ġsubsequently": 23909, + "Ġcement": 23910, + "Ġlanded": 23911, + "Ġceased": 23912, + "Ra": 23913, + "æĶ»åĩ»": 23914, + "*}{": 23915, + "Tx": 23916, + "ĠScreen": 23917, + "è°IJ": 23918, + "Ġcovari": 23919, + "San": 23920, + "Chain": 23921, + "Ġpopulations": 23922, + "пла": 23923, + "analysis": 23924, + "ĠмогаÑĤ": 23925, + "Ġsimulated": 23926, + "Ġcondu": 23927, + "Dictionary": 23928, + "fund": 23929, + "ĠÑģл": 23930, + "å®ŀè¡Į": 23931, + "менÑĤи": 23932, + "Question": 23933, + "Ġproducer": 23934, + "ä¸ĢçĶŁ": 23935, + "Ġreminded": 23936, + "ĠWHEN": 23937, + "ĠRio": 23938, + "Altern": 23939, + "Remote": 23940, + "ĠFourier": 23941, + "Ġtradicional": 23942, + "eenth": 23943, + "ĠIsa": 23944, + "Available": 23945, + "ÑĩваÑĤ": 23946, + "Ġevolucion": 23947, + "igator": 23948, + "Ġdece": 23949, + "orials": 23950, + "Ġluego": 23951, + "ĠÑĨенÑĤÑĬÑĢ": 23952, + "Ġdesperate": 23953, + "Ġemissions": 23954, + "Ġbenchmark": 23955, + "Ġ=======": 23956, + "consum": 23957, + "codec": 23958, + "ĠгÑĢÑĬÑĨ": 23959, + "æłĩå¿Ĺ": 23960, + "Ġservidor": 23961, + "Ġsimilarity": 23962, + "Ġwed": 23963, + "滨": 23964, + "ĠÐIJлекÑģанд": 23965, + "åŀĤ": 23966, + "Ġholder": 23967, + "ĠBuen": 23968, + "Ġживе": 23969, + "commons": 23970, + "åij¨æľŁ": 23971, + "Ġfoss": 23972, + "Ġbasketball": 23973, + "æĤł": 23974, + "Ġthesis": 23975, + "Ġplantes": 23976, + "pie": 23977, + "ĠCHAR": 23978, + "ä¹Łæ²¡": 23979, + "ĠContract": 23980, + "jos": 23981, + "Ġtriggers": 23982, + "ÑĤно": 23983, + "\"\"\"": 23984, + "Ġextern": 23985, + "Ġchampion": 23986, + "encer": 23987, + "çļĦçĥŃ": 23988, + "doors": 23989, + "imet": 23990, + "Ġclassified": 23991, + "degree": 23992, + "Ġestr": 23993, + "Ġharmony": 23994, + "æĺĨ": 23995, + "rance": 23996, + "говоÑĢ": 23997, + "Ġbonds": 23998, + "Share": 23999, + "Ġamen": 24000, + "Clear": 24001, + "Ġtexts": 24002, + "æĶ¶èİ·": 24003, + "Ġesa": 24004, + "ĠMemorial": 24005, + "Ġmuestra": 24006, + "Ġrendering": 24007, + "SB": 24008, + "Ġibn": 24009, + "Ġjam": 24010, + "мно": 24011, + "inea": 24012, + "Bottom": 24013, + "ĠOrange": 24014, + "devices": 24015, + "ĠPom": 24016, + "ĠHu": 24017, + "Ġcentres": 24018, + "ĠGraph": 24019, + "è¾ĸ": 24020, + "Ġdoctrine": 24021, + "ĠThunder": 24022, + "UTE": 24023, + "ĠSolutions": 24024, + "Ġbugs": 24025, + "pto": 24026, + "Ġactivation": 24027, + "Ġconsecutive": 24028, + "ĠSeattle": 24029, + "Ġcontinent": 24030, + "ĠPsych": 24031, + "Aqu": 24032, + "èIJ¥ä¸ļ": 24033, + "Ġindoor": 24034, + "Ġmodific": 24035, + "ĠCinema": 24036, + "ĠCry": 24037, + "ĠÑĦе": 24038, + "Objects": 24039, + "Ġcosta": 24040, + "Ġinici": 24041, + "heard": 24042, + "ÑĢай": 24043, + "каде": 24044, + "Rows": 24045, + "acre": 24046, + "è´ª": 24047, + "é«ĺ级": 24048, + "Ġreconstruction": 24049, + "taining": 24050, + "åĪĽä½ľ": 24051, + "Ġnoon": 24052, + "astia": 24053, + "pract": 24054, + "é«ĺ端": 24055, + "Ġutterly": 24056, + "Was": 24057, + "纽": 24058, + "Pred": 24059, + "Hor": 24060, + "ÑĤÑĬÑĤ": 24061, + "Ġgoodness": 24062, + "磩": 24063, + "Ġdirectors": 24064, + "Environment": 24065, + "ä»ĬæĹ¥": 24066, + "Ġabsurd": 24067, + "è£ħ饰": 24068, + "Ġutiliz": 24069, + "until": 24070, + "Ġwiring": 24071, + "ĠNich": 24072, + "Ġoffline": 24073, + "Ġimpuls": 24074, + "ĠBetter": 24075, + "sharp": 24076, + "æѤåīį": 24077, + "Ġadministrative": 24078, + "charged": 24079, + "PHP": 24080, + "entrada": 24081, + "ĠLater": 24082, + "incial": 24083, + "æijĦå½±": 24084, + "Ġbears": 24085, + "Ġdiagnosis": 24086, + "Ġcents": 24087, + "Economia": 24088, + "ĠÑħÑĥдо": 24089, + "Ġmetres": 24090, + "ĠllatÃŃ": 24091, + "å°Ĭéĩį": 24092, + "Ġcontradict": 24093, + "Ġmeitat": 24094, + "ĠVolta": 24095, + "Errors": 24096, + "Ġtalented": 24097, + "essed": 24098, + "Ġproblemes": 24099, + "mpl": 24100, + "Ġware": 24101, + "ÑģÑĤÑĤа": 24102, + "κ": 24103, + "ĠNVIDIA": 24104, + "mist": 24105, + "Ġsearches": 24106, + "Ġdried": 24107, + "inetic": 24108, + "Ġdevelopments": 24109, + "нни": 24110, + "Ġsinger": 24111, + "apps": 24112, + "Ġnullptr": 24113, + "Operator": 24114, + "ĠÐĺван": 24115, + "ĠLluÃŃs": 24116, + "æİ¥è¿ij": 24117, + "Ġautomated": 24118, + "åħĪåIJİ": 24119, + "çŃĸçķ¥": 24120, + "Ġconvolution": 24121, + "Ġgonna": 24122, + "çľĭè§ģ": 24123, + "åłª": 24124, + "Flag": 24125, + "å¿ĥä¸Ń": 24126, + "Running": 24127, + "ĠBattle": 24128, + "ĠĠĠĠĠĠĠĠĠ<": 24129, + "ÑĢиÑģÑĤи": 24130, + "Ġsmartphone": 24131, + "Ġfascinating": 24132, + "rÃŃa": 24133, + "ificates": 24134, + "Ùħ": 24135, + "Ġsant": 24136, + "Ġcorp": 24137, + "Notification": 24138, + "Ġbust": 24139, + "å½ĵ天": 24140, + "Ġfeather": 24141, + "repeat": 24142, + "die": 24143, + "Ġpetition": 24144, + "itty": 24145, + "Ġoverlap": 24146, + "Ġhospitals": 24147, + "Ġfame": 24148, + "æµ·å¤ĸ": 24149, + "æijĺ": 24150, + "ĠImper": 24151, + "齿": 24152, + "ĠSax": 24153, + "thems": 24154, + "Ġequity": 24155, + "Ġmistaken": 24156, + "Ġachievement": 24157, + "ĠFish": 24158, + "Ġendpoint": 24159, + "ÃŃncep": 24160, + "ĠRT": 24161, + "lÃŃn": 24162, + "(\"%": 24163, + "Ãłtics": 24164, + "æ¶ĪåĮĸ": 24165, + "ĠResta": 24166, + "Ġplat": 24167, + "positions": 24168, + "Ġpeaks": 24169, + "Bay": 24170, + "boat": 24171, + "Ġessays": 24172, + "Ġleisure": 24173, + "Ġretrieve": 24174, + "æĪĸæĺ¯": 24175, + "Ġencouraging": 24176, + "Animation": 24177, + "Ġcitizen": 24178, + "миниÑģÑĤÑĢа": 24179, + "avi": 24180, + "Ġcapacitance": 24181, + "Ġintervention": 24182, + "Ġmigration": 24183, + "UA": 24184, + "xf": 24185, + "виÑĩ": 24186, + "æĹłçĸij": 24187, + "è°¨": 24188, + "comfortable": 24189, + "пÑĢоÑģÑĤÑĢанение": 24190, + "ocity": 24191, + "habitat": 24192, + "ĠEM": 24193, + "å¹¼åĦ¿åĽŃ": 24194, + "Ġemployers": 24195, + "CG": 24196, + "rp": 24197, + "Ġbaseball": 24198, + "fits": 24199, + "Ġbrut": 24200, + "onces": 24201, + "æł¡åĽŃ": 24202, + "ĠCAN": 24203, + "Ġviure": 24204, + "Ġexempl": 24205, + "åıĶ": 24206, + "ĠFive": 24207, + "marès": 24208, + "NEW": 24209, + "ĠCtrl": 24210, + "ĠCher": 24211, + "è¡Ģåİĭ": 24212, + "contents": 24213, + "зиден": 24214, + "Ġty": 24215, + "ĉ-": 24216, + "Ġiniciar": 24217, + "两年": 24218, + "éĵľ": 24219, + "Ġdensitat": 24220, + "phantom": 24221, + "Ġcolored": 24222, + "мÑĬÑĤ": 24223, + "neath": 24224, + "Ġflame": 24225, + "Ġcraw": 24226, + "Ġusu": 24227, + "浸": 24228, + "Ġbabies": 24229, + "Ġfrancesa": 24230, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ$": 24231, + "exion": 24232, + "ĠPeace": 24233, + "bundle": 24234, + "broken": 24235, + "Ġavoided": 24236, + "ĠModule": 24237, + "Ġweighted": 24238, + "Ġtoys": 24239, + "èd": 24240, + "Ġdeclaration": 24241, + "ánd": 24242, + "Âłmil": 24243, + "ĠMonitor": 24244, + "Ġinvitation": 24245, + "Apply": 24246, + "ĠMagic": 24247, + "Ġtecn": 24248, + "backup": 24249, + "ĠÑĩÑĥ": 24250, + "对æ¯Ķ": 24251, + "鼶åĶ®": 24252, + "Ġses": 24253, + "enti": 24254, + "artheta": 24255, + "åįĵ": 24256, + "reader": 24257, + "Ġpon": 24258, + "Ġsubgroup": 24259, + "ĠСÑĤо": 24260, + "æıIJ示": 24261, + "nature": 24262, + "ĠJason": 24263, + "Ids": 24264, + "Ġcollecting": 24265, + "Ġlap": 24266, + "Ġanalyzed": 24267, + "vartheta": 24268, + "Ġmedian": 24269, + "ĠOrleans": 24270, + "Ġpeaceful": 24271, + "Furthermore": 24272, + "Men": 24273, + "Ġcoloring": 24274, + "Ġattain": 24275, + "Ġcp": 24276, + "ocaml": 24277, + "éĴ»": 24278, + "yman": 24279, + "ĠPhilipp": 24280, + "Ġvulnerable": 24281, + "éģĵçIJĨ": 24282, + "ĠTurkey": 24283, + "Ġmedication": 24284, + "ĠNelson": 24285, + "Ġsophisticated": 24286, + "Ġaest": 24287, + "Ġdisks": 24288, + "Ġclassificades": 24289, + "allclasses": 24290, + "Ġinflam": 24291, + "æ¡Ĩ": 24292, + "é»ijèī²": 24293, + "ÑĨио": 24294, + "hythm": 24295, + "ĠTitle": 24296, + "ĠVi": 24297, + "åħ¨çľģ": 24298, + "çĤī": 24299, + "ĠHiggs": 24300, + "datos": 24301, + "ATTR": 24302, + "çļĦ主è¦ģ": 24303, + "å»ī": 24304, + "пиÑģва": 24305, + "ancies": 24306, + "Ġodds": 24307, + ";--": 24308, + "Ġinterviews": 24309, + "Bad": 24310, + "serial": 24311, + "Ġdurable": 24312, + "MW": 24313, + "ä»ħä»ħ": 24314, + "Ġoptimize": 24315, + "Ġstair": 24316, + "Ġargued": 24317, + "Ġtercer": 24318, + "Ġtackle": 24319, + "æĹłæķ°": 24320, + "æħķ": 24321, + "vertical": 24322, + "Ġrehab": 24323, + "ĠAthe": 24324, + "amous": 24325, + "idas": 24326, + "Ġsubstitu": 24327, + "agne": 24328, + "æĪij说": 24329, + "oj": 24330, + "Ġfuck": 24331, + "Ġappar": 24332, + "è¯Ī": 24333, + "认åı¯": 24334, + "tell": 24335, + "åIJĪéĢĤ": 24336, + "并éĿŀ": 24337, + "Ġproto": 24338, + "åݦ": 24339, + "ä¹ĭä¸ĭ": 24340, + "æľīæŶåĢĻ": 24341, + "å¿ĥæĥħ": 24342, + "cv": 24343, + "æĻ®éģį": 24344, + "Ġranked": 24345, + "Ġlasting": 24346, + "Ġverification": 24347, + "Ġencuent": 24348, + "Ġpound": 24349, + "人家": 24350, + "Ġcann": 24351, + "ĠTrack": 24352, + "ĠKelly": 24353, + "ç³ķ": 24354, + "Ġdraws": 24355, + "æĹ¥èµ·": 24356, + "Ġsquee": 24357, + "ĠÐľÐ°ÑĢиÑı": 24358, + "Ġmu": 24359, + "manys": 24360, + "ĠAth": 24361, + "ĠDJ": 24362, + "ĠNT": 24363, + "Ġcouch": 24364, + "Ġrepeatedly": 24365, + "ĠCarm": 24366, + "Ġcompatibility": 24367, + "ĠBelow": 24368, + "Ġcançó": 24369, + "Ġreflects": 24370, + "Ġshaped": 24371, + "Ġoverse": 24372, + "ĠPWM": 24373, + "Phil": 24374, + "Ġratios": 24375, + "Ġengineers": 24376, + "Ġpodcast": 24377, + "Ġoverwhelming": 24378, + "mis": 24379, + "Ġintimate": 24380, + "beat": 24381, + "Ġbuilds": 24382, + "King": 24383, + "Ġscreening": 24384, + "ĠÐĴÑĬ": 24385, + "Ġhither": 24386, + "emb": 24387, + "åħ¬äº¤": 24388, + "èĬĿ": 24389, + "Sil": 24390, + "ean": 24391, + "satisf": 24392, + "houses": 24393, + "arma": 24394, + "Kit": 24395, + "Ġcrying": 24396, + "FUN": 24397, + "Ġredund": 24398, + "pk": 24399, + "ĠMand": 24400, + "вени": 24401, + "æĸ°æµª": 24402, + "ĠEveryone": 24403, + "Ġalternate": 24404, + "Ġshelf": 24405, + "ĠWhit": 24406, + "ĠAy": 24407, + "Ġestructura": 24408, + "encode": 24409, + "Ġdecreasing": 24410, + "Ġpseud": 24411, + "remote": 24412, + "Ä«": 24413, + "Ġrays": 24414, + "Ġradical": 24415, + "Ġcables": 24416, + "ĠQuestion": 24417, + "uelve": 24418, + "çī¹å¾ģ": 24419, + "Ġfiscal": 24420, + "Ġencontr": 24421, + "accur": 24422, + "romagnetic": 24423, + "车主": 24424, + "ĠClark": 24425, + "头åıij": 24426, + "ologists": 24427, + "onut": 24428, + "ĠYa": 24429, + "information": 24430, + "辩": 24431, + "ç±»åŀĭ": 24432, + "dog": 24433, + "ĠSex": 24434, + "Ġ\");": 24435, + "便æĺ¯": 24436, + "Ġstere": 24437, + "Ġdelightful": 24438, + "Ġmissions": 24439, + "Ġbackups": 24440, + "ĠÐĵÑĬÑĢ": 24441, + "Ġsorted": 24442, + "textcolor": 24443, + "Ġimposed": 24444, + "ÑĩеÑģÑĤво": 24445, + "Ġderivatives": 24446, + "Ġvoting": 24447, + "{'": 24448, + "teenth": 24449, + "Ġtennis": 24450, + "ĠCalcul": 24451, + "UX": 24452, + "relative": 24453, + "Ġexecuting": 24454, + "cart": 24455, + "ĠOptional": 24456, + "临åºĬ": 24457, + "gie": 24458, + "stab": 24459, + "Ġearnings": 24460, + "åı¹": 24461, + "Ġsupplier": 24462, + "Ġregulatory": 24463, + "Ġample": 24464, + "ĠClear": 24465, + "Ġ!!": 24466, + "Ġminerals": 24467, + "Ġthreatened": 24468, + "ònim": 24469, + "ĠClar": 24470, + "èĻ¾": 24471, + "April": 24472, + "tis": 24473, + "mathit": 24474, + "Ġvoters": 24475, + "ĠVA": 24476, + "«": 24477, + "Ġjumped": 24478, + "Ġcarn": 24479, + "Ġfamiliars": 24480, + "æĪIJåĪĨ": 24481, + "å¿ħçĦ¶": 24482, + "ĠRain": 24483, + "asta": 24484, + "lette": 24485, + "ĠGlass": 24486, + "ĠAve": 24487, + "Església": 24488, + "Ġexplaining": 24489, + "Ġunited": 24490, + "ĠJen": 24491, + "ÐĵÑĢа": 24492, + "ghan": 24493, + "interpret": 24494, + "ĠÐłÑĥÑģиÑı": 24495, + "Ġcrowded": 24496, + "enial": 24497, + "ĠФÑĢанÑĨиÑı": 24498, + "Ġlightly": 24499, + "Ġprova": 24500, + "Ġprimitive": 24501, + "Ġfuneral": 24502, + "Ġintim": 24503, + "CALL": 24504, + "ĠUl": 24505, + "Ġanalyst": 24506, + "ĠWel": 24507, + "Mail": 24508, + "Ġspecialized": 24509, + "ĠGordon": 24510, + "alling": 24511, + "çĸ¯": 24512, + "Ġisolation": 24513, + "ĠDean": 24514, + "èĤĥ": 24515, + "Cómo": 24516, + "agrangian": 24517, + "Turn": 24518, + "Ġfu": 24519, + "atom": 24520, + "physical": 24521, + "Obs": 24522, + "ĠToy": 24523, + "Ġsv": 24524, + "Ġlag": 24525, + "Ñħай": 24526, + "Ġdescobert": 24527, + "Ġperception": 24528, + "æī®": 24529, + "ĠAdams": 24530, + "Ġfoo": 24531, + "Ġinfluenced": 24532, + "ĠEg": 24533, + "Ġelections": 24534, + "Sept": 24535, + "éĤ£éĩĮ": 24536, + "urchase": 24537, + "Ca": 24538, + "mix": 24539, + "Ġolive": 24540, + "Ġzá": 24541, + "ĠRegion": 24542, + "Ġpotatoes": 24543, + "ĠaquÃŃ": 24544, + "Mask": 24545, + "textnormal": 24546, + "Ġwool": 24547, + "Ġcontempl": 24548, + "Patrimoni": 24549, + "Ġ({\\": 24550, + "Ðĵе": 24551, + "ĠCole": 24552, + "únic": 24553, + "çļĦ产åĵģ": 24554, + "Ġfurnished": 24555, + "Ġsingles": 24556, + "ró": 24557, + "å¾½": 24558, + "Ġesment": 24559, + "å¨ĥ": 24560, + "ĠExperience": 24561, + "usive": 24562, + "èĦĨ": 24563, + "ĠConc": 24564, + "空è°ĥ": 24565, + "ĠcarÃłcter": 24566, + "èĴľ": 24567, + "unto": 24568, + "retch": 24569, + "chat": 24570, + "ockey": 24571, + "ĠWorking": 24572, + "cia": 24573, + "Ġharmon": 24574, + "equations": 24575, + "å±ħä½ı": 24576, + "ĠAbstract": 24577, + "Ġinfer": 24578, + "udge": 24579, + "ç´łè´¨": 24580, + "Ġunstable": 24581, + "{*}": 24582, + "adays": 24583, + "Ġproporcion": 24584, + "Lord": 24585, + "åŁİåĮº": 24586, + "Ġtram": 24587, + "åĩĨç¡®": 24588, + "Ġsexe": 24589, + "ĠPRIMARY": 24590, + "ĠFresh": 24591, + "кла": 24592, + "lass": 24593, + "imen": 24594, + "****************************************************************": 24595, + "selector": 24596, + "æµģç¨ĭ": 24597, + "ĠCG": 24598, + "Ġlaughter": 24599, + "ĠAlgorithm": 24600, + "Ġseldom": 24601, + "Ġflor": 24602, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 24603, + "Ġconnects": 24604, + "\"];": 24605, + "Ġimpat": 24606, + "INST": 24607, + "åĩŃåĢŁ": 24608, + "Ġcares": 24609, + "due": 24610, + "Ġproductivity": 24611, + "learn": 24612, + "Ġpont": 24613, + "eight": 24614, + "Ġomitted": 24615, + "ĠAnaly": 24616, + "hid": 24617, + "Ġcredentials": 24618, + "factor": 24619, + "Ġplots": 24620, + "Ġderrot": 24621, + "Ġchrom": 24622, + "corollary": 24623, + "tele": 24624, + "ìĿ": 24625, + "Ġfled": 24626, + "Ġmotivated": 24627, + "Ġsore": 24628, + "ĠMY": 24629, + "ĠPierre": 24630, + "Ġalb": 24631, + "Ġproxim": 24632, + "ceptions": 24633, + "Ġclerg": 24634, + "urals": 24635, + "poly": 24636, + "Ġgaze": 24637, + "Ġdess": 24638, + "Ġbarri": 24639, + "IGH": 24640, + "ïnes": 24641, + "Na": 24642, + "gmail": 24643, + "rig": 24644, + "æĽ´ä¸º": 24645, + "Ġstationary": 24646, + "åħ³å¿ĥ": 24647, + "ĠPad": 24648, + "PDF": 24649, + "ĠServ": 24650, + "Ġcryst": 24651, + "RESS": 24652, + "wlwifi": 24653, + "ĠPra": 24654, + "Ġdefinit": 24655, + "Ġlazy": 24656, + "getString": 24657, + "ĠComb": 24658, + "zilla": 24659, + "ãĢĭãĢĤ": 24660, + "Place": 24661, + "triangle": 24662, + "CB": 24663, + "ĠNavy": 24664, + "ylon": 24665, + "Face": 24666, + "Rate": 24667, + "Ġcorruption": 24668, + "Ġspokes": 24669, + "æ³ķåĽ½": 24670, + "ipart": 24671, + "ĠYears": 24672, + "ĠPP": 24673, + "Ġbeast": 24674, + "è¿ijå¹´æĿ¥": 24675, + "Ãłrqu": 24676, + "usc": 24677, + "ä¸Ī夫": 24678, + "ĠFurn": 24679, + "ĠÑĪи": 24680, + "ulk": 24681, + "Nov": 24682, + "ĠVit": 24683, + "Ġcontainers": 24684, + "warn": 24685, + "ĠItÃłlia": 24686, + "ĠJaume": 24687, + "cht": 24688, + "Ġnoves": 24689, + "ĠзавÑĬÑĢÑĪва": 24690, + "ĠDemocratic": 24691, + "Ġanual": 24692, + "June": 24693, + "avier": 24694, + "离å©ļ": 24695, + "lyphicon": 24696, + "pero": 24697, + "Ġmoisture": 24698, + "Ġseve": 24699, + "ĠHoward": 24700, + "Ġrewards": 24701, + "paring": 24702, + "Ġcreativity": 24703, + "Ġcollisions": 24704, + "ĠпÑĢоек": 24705, + "æĿŃå·ŀ": 24706, + "Ġsolucion": 24707, + "ints": 24708, + "Ġfestiv": 24709, + "æĮ¤": 24710, + "ulls": 24711, + "efficient": 24712, + "ĠForeign": 24713, + "isot": 24714, + "Ġallerg": 24715, + "ÑħиÑı": 24716, + "ĠCOVID": 24717, + "转åŀĭ": 24718, + "Ġfeasible": 24719, + "ĠSPI": 24720, + "strument": 24721, + "æī§æ³ķ": 24722, + "ĠGeV": 24723, + "çĸ«æĥħéĺ²æݧ": 24724, + "ĠPartners": 24725, + "Cla": 24726, + "Ġbeans": 24727, + "Ġferro": 24728, + "Ġintegrate": 24729, + "Hon": 24730, + "ROW": 24731, + "ĠSpot": 24732, + "Ġbite": 24733, + "InputStream": 24734, + "Ġalemanys": 24735, + "çļĦæľºä¼ļ": 24736, + "第äºĶ": 24737, + "ĠDallas": 24738, + "Ġconsume": 24739, + "жиÑĤел": 24740, + "ĠFootball": 24741, + "ĠTools": 24742, + "å±Ī": 24743, + "è§Ħå¾ĭ": 24744, + "Ġgravitational": 24745, + "Ġnap": 24746, + "Ġdistress": 24747, + "ĠТÑı": 24748, + "ĠLawrence": 24749, + "å¦Ĥä¸ĭ": 24750, + "ĉp": 24751, + "Ġsb": 24752, + "entially": 24753, + "yll": 24754, + "è¾ħåĬ©": 24755, + "ĠSad": 24756, + "extend": 24757, + "ä»°": 24758, + "Ġindividually": 24759, + "Ġbeating": 24760, + "uru": 24761, + "Ġimproves": 24762, + "ignation": 24763, + "Ġvendors": 24764, + "Occ": 24765, + "holds": 24766, + "Ġjudges": 24767, + "ĠCool": 24768, + "Ġprivileges": 24769, + "Ġ(@": 24770, + "Ġperturbation": 24771, + "iblioteca": 24772, + "Ġoperates": 24773, + "Ġconsiderations": 24774, + "åıijè¡Į": 24775, + "Ġprotecting": 24776, + "Ġswept": 24777, + "Ġjar": 24778, + "Skip": 24779, + "Ġimplications": 24780, + "Ġsho": 24781, + "Ġbetray": 24782, + "Ġcultures": 24783, + "greSQL": 24784, + "Ġsalad": 24785, + "altern": 24786, + "ĠClinton": 24787, + "Ġmotivation": 24788, + "Ġdescent": 24789, + "件äºĭ": 24790, + "themselves": 24791, + "Ġacceleration": 24792, + "Ġstainless": 24793, + "Ġluminosity": 24794, + "inherit": 24795, + "ĠпоÑģÑĤÑĢо": 24796, + "FD": 24797, + "Ġtom": 24798, + "colLast": 24799, + "asters": 24800, + "Ġмини": 24801, + "Ġhalt": 24802, + "Ġflew": 24803, + "ĠEFI": 24804, + "ĠVietnam": 24805, + "ruby": 24806, + "éĤ£å°±æĺ¯": 24807, + "ĠXbox": 24808, + "Ġaffecting": 24809, + "ĠNFL": 24810, + "tainment": 24811, + "ĠGalaxy": 24812, + "Ġdivorce": 24813, + "nol": 24814, + "Ġoutfit": 24815, + "Fix": 24816, + "Ġhiring": 24817, + "Ġdeemed": 24818, + "atorial": 24819, + "ĠTerms": 24820, + "åĽºå®ļ": 24821, + "heets": 24822, + "azi": 24823, + "ĠJordi": 24824, + "Ġcharger": 24825, + "å¼¥": 24826, + "Ġò": 24827, + "ÑģеÑĤ": 24828, + "inkle": 24829, + "们çļĦ": 24830, + "éĥ¨çļĦ": 24831, + "å±ıå¹ķ": 24832, + "Ġagregar": 24833, + "Ġeconòmiques": 24834, + "Ġrespuesta": 24835, + "Named": 24836, + "ĠGP": 24837, + "ĠIslands": 24838, + "Edificis": 24839, + "Ġguided": 24840, + "ĠGent": 24841, + "Ġuniversities": 24842, + "Ġpersistent": 24843, + "inely": 24844, + "Despite": 24845, + "ĠFriends": 24846, + "Âłmilions": 24847, + "aders": 24848, + "Ġovernight": 24849, + "åĢºåĬ¡": 24850, + "antiga": 24851, + "Ġhalo": 24852, + "Ġwherein": 24853, + "ĠGHz": 24854, + "Ġspawn": 24855, + "similar": 24856, + "ĠAndy": 24857, + "æ³Į": 24858, + "Ġrestes": 24859, + "nvidia": 24860, + "ĠСÑĥ": 24861, + "主ä½ĵ": 24862, + "Ġpatches": 24863, + "вÑģки": 24864, + "Ġwarned": 24865, + "ĠCharlie": 24866, + "usk": 24867, + "-----------": 24868, + "баÑĤа": 24869, + "åĵ²": 24870, + "Ġrepro": 24871, + "sb": 24872, + "ĠÑģезон": 24873, + "Cred": 24874, + "Ġvalued": 24875, + "Ġjewelry": 24876, + "WORD": 24877, + "Ġcarb": 24878, + "Cong": 24879, + "GN": 24880, + "messages": 24881, + "?--": 24882, + "clone": 24883, + "æ³Ħ": 24884, + "ousing": 24885, + "ä¸Ģå¼ł": 24886, + "ÑĤиÑĢи": 24887, + "backslash": 24888, + "éĥİ": 24889, + "Ġexplot": 24890, + "Ġcurs": 24891, + "Office": 24892, + "Ġmp": 24893, + "Ġbanking": 24894, + "within": 24895, + "ĠWisconsin": 24896, + "Ġeigenvalues": 24897, + "launchpad": 24898, + "ĠPER": 24899, + "Ġpatron": 24900, + "sized": 24901, + "alloween": 24902, + "çĽĴ": 24903, + "Ġtreating": 24904, + "either": 24905, + "Li": 24906, + "ÑģÑĤано": 24907, + "èİ·åıĸ": 24908, + "Ġorbital": 24909, + "iós": 24910, + "éªĤ": 24911, + "valor": 24912, + "Ġpregnant": 24913, + "Ġbrowse": 24914, + "mnt": 24915, + "æĻ°": 24916, + "Ġgrasp": 24917, + "offic": 24918, + "Ġquadratic": 24919, + "Tele": 24920, + "adir": 24921, + "Ġprevents": 24922, + "è¯ŀ": 24923, + "ĠQGIS": 24924, + "Ġrounds": 24925, + "ĠPap": 24926, + "Ġnotify": 24927, + "Ġforcing": 24928, + "ossible": 24929, + "夹": 24930, + "ĠEdit": 24931, + "itated": 24932, + "失åİ»": 24933, + "Ġurged": 24934, + "ĠHero": 24935, + "èī¯å¥½": 24936, + "Ġlliure": 24937, + "Ġmari": 24938, + "density": 24939, + "æĤĶ": 24940, + "Ġcorrected": 24941, + "ĠAMD": 24942, + "fat": 24943, + "Ġsue": 24944, + "Ġassure": 24945, + "numerus": 24946, + "ĠMajesty": 24947, + "ĠĠĠĠĠĠĠĠ|": 24948, + "Ġadoption": 24949, + "Ġmedalla": 24950, + "æģ¼": 24951, + "Ġadditionally": 24952, + "ĠMun": 24953, + "Ġinquiry": 24954, + "ниÑĨиÑĤе": 24955, + "Ġmatem": 24956, + "ulat": 24957, + "Ġranking": 24958, + "Ġdf": 24959, + "Win": 24960, + "heric": 24961, + "Ġow": 24962, + "éĩijå±ŀ": 24963, + "Ġthreats": 24964, + "Blue": 24965, + "Ġteoria": 24966, + "ĠAtlanta": 24967, + "numerusform": 24968, + "Ġunhappy": 24969, + "Center": 24970, + "çļĦæ°´": 24971, + "ĠPedro": 24972, + "ĠSamuel": 24973, + "Ġoffense": 24974, + "ová": 24975, + "Ġpermut": 24976, + "Ġrecur": 24977, + "Ñħе": 24978, + "æķ´æ²»": 24979, + "ĠСан": 24980, + "Ġstub": 24981, + "ĠBah": 24982, + "Ġspac": 24983, + "Ġdrunk": 24984, + "æĥħæĦŁ": 24985, + "Ġlease": 24986, + "Ġdistribut": 24987, + "Ġstretched": 24988, + "Diagn": 24989, + "Ġpaused": 24990, + "ĠGrad": 24991, + "ÑĪение": 24992, + "Ġjubil": 24993, + "身æĿIJ": 24994, + "rere": 24995, + "Fn": 24996, + "çľĭäºĨ": 24997, + "Ġchrome": 24998, + "çŀ¬éĹ´": 24999, + "Ġpolygon": 25000, + "ĠFI": 25001, + "Ġdiffusion": 25002, + "ĠÑģÑĤÑĢо": 25003, + "çĹħ人": 25004, + "ĠBilly": 25005, + "Ġsuperb": 25006, + "ĠConstruct": 25007, + "xhtml": 25008, + "Ġbund": 25009, + "稿": 25010, + "ãĢĭãĢĬ": 25011, + "御": 25012, + "вобо": 25013, + "ĠER": 25014, + "*}[": 25015, + "oi": 25016, + "neigh": 25017, + "validate": 25018, + "aware": 25019, + "Ġgambling": 25020, + "quick": 25021, + "Ġultra": 25022, + "å«ģ": 25023, + "Ġning": 25024, + "Ġcontrolling": 25025, + "ĠоÑĤде": 25026, + "Ġessence": 25027, + "ĠEmb": 25028, + "æįķ": 25029, + "surface": 25030, + "Ġhollow": 25031, + "kee": 25032, + "Their": 25033, + "Ġseemingly": 25034, + "along": 25035, + "Ġns": 25036, + "Ãłbitat": 25037, + "Ġimaging": 25038, + "Ġinvas": 25039, + "Ġattachment": 25040, + "Ġbuyer": 25041, + "ĠRepair": 25042, + "Ġcomunitat": 25043, + "ĠнаÑĢо": 25044, + "å±ķå¼Ģ": 25045, + "Ġinformal": 25046, + "Ġsacrific": 25047, + "ĠApart": 25048, + "Ġdirigir": 25049, + "Ġdibuix": 25050, + "Ġauthorized": 25051, + "Ġpersonatges": 25052, + "partition": 25053, + "particular": 25054, + "Esportistes": 25055, + "ĠPhill": 25056, + ">=": 25057, + "Ġshoe": 25058, + "ĠимпеÑĢа": 25059, + "Ñīайн": 25060, + "Ġprints": 25061, + "lahoma": 25062, + "Minerals": 25063, + "Same": 25064, + "ĠSent": 25065, + "itcher": 25066, + "oubtedly": 25067, + "强çĥĪ": 25068, + "Ġsucc": 25069, + "past": 25070, + "Ġhandful": 25071, + "Ġou": 25072, + "Ġdwar": 25073, + "ĠекÑģ": 25074, + "Ġcompassion": 25075, + "Ġramp": 25076, + "Ġinvesting": 25077, + "åľ°çĤ¹": 25078, + "ĠButton": 25079, + "西å®ī": 25080, + "ĠMenu": 25081, + "Ġski": 25082, + "Compos": 25083, + "eous": 25084, + "Ġsubmission": 25085, + "ĠCHECK": 25086, + "Ġsecrets": 25087, + "Ġpolarization": 25088, + "èħ»": 25089, + "Ġfellows": 25090, + "textsf": 25091, + "Ġspecially": 25092, + "Ġpersonatge": 25093, + "ateral": 25094, + "ĠжиÑĤели": 25095, + "ĠBapt": 25096, + "ĠWoman": 25097, + "å¾ĹåĪ°äºĨ": 25098, + "ĠQuant": 25099, + "Ġincloent": 25100, + "crypt": 25101, + "Ġfel": 25102, + "dump": 25103, + "Ġachieving": 25104, + "ÑĪна": 25105, + "Ġeaten": 25106, + "City": 25107, + "åĸĬ": 25108, + "Ñģел": 25109, + "Hard": 25110, + "Ġdisagree": 25111, + "зване": 25112, + ";)": 25113, + "ĠScient": 25114, + "Ġpropietaris": 25115, + "Ġproductive": 25116, + "Constant": 25117, + "å±¥è¡Į": 25118, + "wire": 25119, + "åŁºæľ¬ä¸Ĭ": 25120, + "Ġbark": 25121, + "Ġretro": 25122, + "]-": 25123, + "social": 25124, + "APP": 25125, + "æ¡Īä¾ĭ": 25126, + "åľ°çļĦ": 25127, + "timestamp": 25128, + "Ġpregnancy": 25129, + "LOAD": 25130, + "æ·ĭ": 25131, + "æĬĢå·§": 25132, + "åľºæ¯ĶèµĽ": 25133, + "Ġjacket": 25134, + "colFirst": 25135, + "exact": 25136, + "å²³": 25137, + "è§Ĩè§ī": 25138, + "æĭ¨": 25139, + "å½¢æĢģ": 25140, + "Dan": 25141, + "Ġcaut": 25142, + "ĠHelen": 25143, + "angled": 25144, + "ĠIndiana": 25145, + "ibus": 25146, + "esis": 25147, + "大å°ı": 25148, + "Ġphenomena": 25149, + "Ġworkshops": 25150, + "inus": 25151, + "STATUS": 25152, + "å°ıç»Ħ": 25153, + "Ġpreview": 25154, + "ĠSweet": 25155, + "наÑĩа": 25156, + "Ġmyth": 25157, + "表æĺİ": 25158, + "swarm": 25159, + "Ġfixing": 25160, + "åĮĸåѦ": 25161, + "ĠDelete": 25162, + "uros": 25163, + "ĠDiff": 25164, + "çķĻä¸ĭ": 25165, + "Ġviagra": 25166, + "opa": 25167, + "grand": 25168, + "!\\": 25169, + "oft": 25170, + "Ġcouples": 25171, + "story": 25172, + "Ġsost": 25173, + "Ġremoves": 25174, + "ĠGreece": 25175, + "Ġraster": 25176, + "Ġtrajectory": 25177, + "æĶ»åĿļ": 25178, + "ĠNut": 25179, + "æĴ¤": 25180, + "ĠIce": 25181, + "ĠSou": 25182, + "odynam": 25183, + "ĠGonz": 25184, + "Ġplanes": 25185, + "òrnia": 25186, + "桶": 25187, + "ÑĦÑĢи": 25188, + "æ£Ģå¯Ł": 25189, + "ä¸Ģçīĩ": 25190, + "Ġconfirmation": 25191, + "ĠÑīа": 25192, + "年轻人": 25193, + "ĠDry": 25194, + "Ġexpend": 25195, + "Ġsuspected": 25196, + ")'": 25197, + "adic": 25198, + "JO": 25199, + "Ġrage": 25200, + "ĠLaura": 25201, + "Usage": 25202, + "alled": 25203, + "лена": 25204, + "ĠÐijÑĥ": 25205, + "Ġeducated": 25206, + "Ġhiding": 25207, + "ä½łä¼ļ": 25208, + "Ġbroker": 25209, + "Ġassumes": 25210, + "Force": 25211, + "Ġdesignated": 25212, + "Ġaccustomed": 25213, + "binom": 25214, + "Ġexcel": 25215, + "ĠMonth": 25216, + "problem": 25217, + "ÑģÑĬн": 25218, + "forth": 25219, + "ĠClose": 25220, + "Ġslept": 25221, + "News": 25222, + "Ġexert": 25223, + "fan": 25224, + "æĽĿ": 25225, + "Ġlighter": 25226, + "ulates": 25227, + "Ġ\\,\\": 25228, + "Ġnick": 25229, + "abama": 25230, + "ĠÑģÑĤÑĢана": 25231, + "onsense": 25232, + "Govern": 25233, + "Ġ[_": 25234, + "ĠRussell": 25235, + "idera": 25236, + "Ġoccupation": 25237, + "Ġhonestly": 25238, + "Ġhed": 25239, + "Ġcaution": 25240, + "Holder": 25241, + "Como": 25242, + "Ġconfined": 25243, + "Ġvm": 25244, + "ĠEmploy": 25245, + "каза": 25246, + "Ġpapa": 25247, + "åĵģç§į": 25248, + "ĠBirth": 25249, + "éķ¿æŶéĹ´": 25250, + "fm": 25251, + "neut": 25252, + "Ġviu": 25253, + "prior": 25254, + "eor": 25255, + "éģ¥": 25256, + "ĠоÑĤново": 25257, + "Ġmarble": 25258, + "LIST": 25259, + "оÑĢÑĬ": 25260, + "Ġcancellation": 25261, + "Ġtagged": 25262, + "Ġwelfare": 25263, + "Ġcontempt": 25264, + "ĠÑģла": 25265, + "ĠÑģÑĬби": 25266, + "Ġscoring": 25267, + "Ġconsequently": 25268, + "shaped": 25269, + "å½ĵäºĭ人": 25270, + "ĠPanel": 25271, + "news": 25272, + "Ġlegitimate": 25273, + "ĠCot": 25274, + "éĩijé¢Ŀ": 25275, + "Ġcoaching": 25276, + "Ġrecib": 25277, + "ĠNormal": 25278, + "Ġdownloading": 25279, + "æĬ¹": 25280, + "ĠsÃŃm": 25281, + "Ġromance": 25282, + "Comb": 25283, + "among": 25284, + "Ġrivers": 25285, + "Ġhacerlo": 25286, + "Ġembrace": 25287, + "ĠCurrently": 25288, + "ipes": 25289, + "ĠRange": 25290, + "Enable": 25291, + "Ġutilized": 25292, + "Ġproceedings": 25293, + "Ġreconc": 25294, + "Ġoccasional": 25295, + "Ġaccessed": 25296, + "åħĦå¼Ł": 25297, + "ĠWriting": 25298, + "uber": 25299, + "注éĩį": 25300, + "Ġcomtat": 25301, + "æĪijè§īå¾Ĺ": 25302, + "Ġgenus": 25303, + "ĠBurg": 25304, + "Ġbottles": 25305, + "Ġmounting": 25306, + "unciation": 25307, + "Ġoak": 25308, + "ĠнеÑı": 25309, + "åıł": 25310, + "Ġdemo": 25311, + "ĠLag": 25312, + "çŃĭ": 25313, + "çĹķ": 25314, + "elem": 25315, + "convert": 25316, + "æ£Ĵ": 25317, + "Ġassembled": 25318, + "Ġsegu": 25319, + ")}(\\": 25320, + "ĠRamon": 25321, + "Sen": 25322, + "Ġupgrading": 25323, + "lectric": 25324, + "(\"\\": 25325, + "ĠÄįerv": 25326, + "imb": 25327, + "CONFIG": 25328, + "ÑĢиÑħ": 25329, + "Ġthrone": 25330, + "squ": 25331, + "ĠUniversal": 25332, + "topic": 25333, + "éĿŀæ³ķ": 25334, + "ĠBear": 25335, + "Ġportrait": 25336, + "Ġarises": 25337, + "ĠAbs": 25338, + "å±Ĥ次": 25339, + "ĠFilter": 25340, + "森æŀĹ": 25341, + "Ġlengths": 25342, + "æĴĴ": 25343, + "Linear": 25344, + "èĩªä¿¡": 25345, + "ĠLis": 25346, + "sam": 25347, + "Ġray": 25348, + "Ġfinanc": 25349, + "ernate": 25350, + "Ġfixes": 25351, + "Ġpets": 25352, + "Ġbom": 25353, + "Geometry": 25354, + "Ġdiabetes": 25355, + "ĠKarl": 25356, + "sdb": 25357, + "Ġreconeix": 25358, + "åįļçī©": 25359, + "Ġinitiatives": 25360, + "çħ§é¡¾": 25361, + "ĠStarting": 25362, + "ĠGrey": 25363, + "pires": 25364, + "Ġscreenshot": 25365, + "guide": 25366, + "群ä½ĵ": 25367, + "ĠCondition": 25368, + "repo": 25369, + "Ġgrants": 25370, + "ĠNapole": 25371, + "ĠgrÃłcies": 25372, + "ĠRou": 25373, + "ä¸Ńå°ı": 25374, + "Ġpockets": 25375, + "Ġinspire": 25376, + "ĠAdvis": 25377, + "Ġhighlighted": 25378, + "ĠFinance": 25379, + "è¾½": 25380, + "Ġbeliefs": 25381, + "Raw": 25382, + "fac": 25383, + "кедон": 25384, + ")}.": 25385, + "Ġether": 25386, + "Proto": 25387, + "ĠIndustry": 25388, + "è°±": 25389, + "Ġresonance": 25390, + "ĠBitcoin": 25391, + "places": 25392, + "Ġshining": 25393, + "ĠBron": 25394, + "ĠInternal": 25395, + "arguments": 25396, + "Ġverd": 25397, + "æĩĤå¾Ĺ": 25398, + "NY": 25399, + "aran": 25400, + "èī²å½©": 25401, + "ifiable": 25402, + "Ġflush": 25403, + "Ġinformación": 25404, + "Ġtobacco": 25405, + "Ġdefensa": 25406, + "æ¸ħæ´ģ": 25407, + "Ġillustration": 25408, + "Sort": 25409, + "çł´åĿı": 25410, + "lux": 25411, + "ItÃłlia": 25412, + "Ġactivated": 25413, + "Low": 25414, + "åIJĬ": 25415, + "Cant": 25416, + "ĠHalf": 25417, + "lett": 25418, + "Ġcoding": 25419, + "Ġcostly": 25420, + "éĢļéģĵ": 25421, + "åı¯ä»¥åľ¨": 25422, + "Ġsuspended": 25423, + "graduate": 25424, + "Ġimatge": 25425, + "女çĶŁ": 25426, + "ĠEdge": 25427, + "Ġjury": 25428, + "Ġfastest": 25429, + "ĠFant": 25430, + "Ġfiltering": 25431, + "extrem": 25432, + "Cross": 25433, + "Ġreliability": 25434, + "Ġworkplace": 25435, + "ĠDoc": 25436, + "ĠFellow": 25437, + "Ġcooperation": 25438, + "ĠJoy": 25439, + "glass": 25440, + "lishing": 25441, + "Ġcompanyia": 25442, + "abra": 25443, + "Ġallocation": 25444, + "Ġcottage": 25445, + "Self": 25446, + "geom": 25447, + "Ġdamages": 25448, + "ifndef": 25449, + "Ġarising": 25450, + "éĥ½å¾Ī": 25451, + "Ġunc": 25452, + "ä¸įä¸Ĭ": 25453, + "å«©": 25454, + "åıįå¼¹": 25455, + "cli": 25456, + "unknown": 25457, + "emplates": 25458, + "bay": 25459, + "abi": 25460, + "ĠLex": 25461, + "Ġrou": 25462, + "ĠGot": 25463, + "éĤĢ请": 25464, + "åºĶ对": 25465, + "ÑĤалиан": 25466, + "воÑĢи": 25467, + "дина": 25468, + "ĠXIX": 25469, + "åħħçĶµ": 25470, + "ĠRX": 25471, + "Ġкм": 25472, + "ición": 25473, + "ĠSony": 25474, + "ĠPaÃŃs": 25475, + "Building": 25476, + "Ġdesires": 25477, + "ĠAld": 25478, + "Ġpear": 25479, + "imore": 25480, + "Ġdeployment": 25481, + "ĠFE": 25482, + "ĠAlfred": 25483, + "odos": 25484, + "Ġcompelled": 25485, + "Pane": 25486, + "ĠPle": 25487, + "Ġжени": 25488, + "Ġmodifications": 25489, + "пло": 25490, + "渡": 25491, + "ä¿¡åı·": 25492, + "Ġмла": 25493, + "ournals": 25494, + "fashion": 25495, + "Ġ'\"": 25496, + "åºĶ该æĺ¯": 25497, + "以ä¸ĬçļĦ": 25498, + "Ġconquest": 25499, + "Ġwont": 25500, + "Ġdisconnect": 25501, + "ertainly": 25502, + "questra": 25503, + "ĠÑĤÑĬ": 25504, + "ĠÑģоб": 25505, + "dio": 25506, + "oons": 25507, + "Observ": 25508, + "Ġwax": 25509, + "opens": 25510, + "owners": 25511, + "loves": 25512, + "ĠвеÑĩе": 25513, + "ouncing": 25514, + "ĠDip": 25515, + "ámet": 25516, + "ĠPain": 25517, + "æ¬ł": 25518, + "rh": 25519, + "Phys": 25520, + "GD": 25521, + "geometry": 25522, + "вена": 25523, + "æĮĩæĮ¥": 25524, + "ĠKy": 25525, + "ĠOriental": 25526, + "仪å¼ı": 25527, + "Ġ,\\": 25528, + "arel": 25529, + "Ġoptimized": 25530, + "features": 25531, + "gir": 25532, + "Ġdy": 25533, + "ĠIPv": 25534, + "Ġwond": 25535, + "Ġapolog": 25536, + "ĠKr": 25537, + "åľºæīĢ": 25538, + "Ġlovers": 25539, + "Cost": 25540, + "车身": 25541, + "ĠTYPE": 25542, + "ĠFle": 25543, + "alus": 25544, + "ĠTag": 25545, + "riors": 25546, + "æıŃ": 25547, + "ĠSimply": 25548, + "BACK": 25549, + "ĠThou": 25550, + "CV": 25551, + "apef": 25552, + "ĠLetter": 25553, + "ĠORDER": 25554, + "Ġsaddle": 25555, + "whether": 25556, + "añ": 25557, + "Ġtv": 25558, + "ĠDays": 25559, + "è¯ij": 25560, + "Ġpregunta": 25561, + "Ġshouted": 25562, + "CONT": 25563, + "Ш": 25564, + "ATOR": 25565, + "Ġdefensive": 25566, + "æĿ¿åĿĹ": 25567, + "Pad": 25568, + "Ġpassat": 25569, + "å®Įæķ´": 25570, + "iti": 25571, + "Ġslavery": 25572, + "Ġensemble": 25573, + "çĪ¬": 25574, + "lict": 25575, + "ĠArcGIS": 25576, + "Ġprincipi": 25577, + "Ġvow": 25578, + "Ġrestoration": 25579, + "Ġwidget": 25580, + "åĽ½å¤ĸ": 25581, + "kb": 25582, + "optim": 25583, + "åĨ³èµĽ": 25584, + "Ġtradu": 25585, + "Ġpizza": 25586, + "ĠÐŁÑĢе": 25587, + "Ġassertion": 25588, + "Ġasign": 25589, + "Ġsixth": 25590, + "ø": 25591, + "perfect": 25592, + "Additional": 25593, + "Ġsuits": 25594, + "spired": 25595, + "ĠKentucky": 25596, + "çłĸ": 25597, + "Ġcoq": 25598, + "OFF": 25599, + "Ġnoting": 25600, + "家æĹı": 25601, + "åį±æľº": 25602, + "ä¼ijéĹ²": 25603, + "产åĵģçļĦ": 25604, + "Ġprolong": 25605, + "swap": 25606, + "Env": 25607, + "Ġheap": 25608, + "ĠFormat": 25609, + "IFI": 25610, + "Ġinsc": 25611, + "ĠNative": 25612, + "ĠÐĶже": 25613, + "çĶ¨æĿ¥": 25614, + "Ham": 25615, + "Meanwhile": 25616, + "ĠMexican": 25617, + "ĠBright": 25618, + "Ġjaw": 25619, + "ipment": 25620, + "Ġguarantees": 25621, + "ogrÃłfic": 25622, + "Ġfortunate": 25623, + "Ġportions": 25624, + "Ġsummon": 25625, + "wal": 25626, + "arians": 25627, + "ĠDifferent": 25628, + "Ġdispute": 25629, + "PARAM": 25630, + "Ġgenerators": 25631, + "Ġblocking": 25632, + "ĠSF": 25633, + "Ġtestimony": 25634, + "overview": 25635, + "SCRIPT": 25636, + "correspond": 25637, + "ých": 25638, + "Ġdealt": 25639, + "ĠPred": 25640, + "ĠMinecraft": 25641, + "beans": 25642, + "æķ´çIJĨ": 25643, + "fp": 25644, + "ä¸įä¹ħ": 25645, + "ĠcastellÃł": 25646, + "Er": 25647, + "Ġexcluded": 25648, + "æĺ¨å¤©": 25649, + "è¿ĻæŶ": 25650, + "åħģ许": 25651, + "å¤ķ": 25652, + "Ġgenerals": 25653, + "æ°ĶçļĦ": 25654, + "ĠIndustrial": 25655, + "Pair": 25656, + "Shift": 25657, + "Ġaggregate": 25658, + "ĠÑĩеÑģÑĤо": 25659, + "Ġpreventing": 25660, + "RECT": 25661, + "ĠÑģÑĨе": 25662, + "ÑĬÑĤÑĢе": 25663, + "ĠCancer": 25664, + "Ġgla": 25665, + "Ġпомо": 25666, + "named": 25667, + "ongs": 25668, + "ĠmA": 25669, + "Ġlaboratory": 25670, + "Ġaggressive": 25671, + "mathtt": 25672, + "commended": 25673, + "Scan": 25674, + "ĠLang": 25675, + "Gui": 25676, + "Ġenjo": 25677, + "ÑĤал": 25678, + "Ġconnectivity": 25679, + "ĠпоÑĢади": 25680, + "çĵ·": 25681, + "),(": 25682, + "çī©ä¸ļ": 25683, + "ĠпÑĢодÑĥ": 25684, + "mits": 25685, + "Ġnos": 25686, + "adj": 25687, + "kers": 25688, + "PROJECT": 25689, + "Framework": 25690, + "ĠBond": 25691, + "éĺŁçļĦ": 25692, + "Ġpublicat": 25693, + "Ġcrimes": 25694, + "ĠCELL": 25695, + "é«ĺä¸Ń": 25696, + "ĠTennessee": 25697, + "Ġpursuit": 25698, + "Ġfocal": 25699, + "Ġbarn": 25700, + "ĠNou": 25701, + "typen": 25702, + "Period": 25703, + "ĠOntario": 25704, + "gone": 25705, + "ĠNort": 25706, + "Све": 25707, + "ç¾İé£Ł": 25708, + "ICATION": 25709, + "Ñĩин": 25710, + "iphone": 25711, + "interval": 25712, + "çŃĶæ¡Ī": 25713, + "ĠitaliÃł": 25714, + "ĠAgreement": 25715, + "ĠPant": 25716, + "Ġincur": 25717, + "Ġanalytic": 25718, + "Ġбил": 25719, + "Ġcomunicació": 25720, + "Ġenvelope": 25721, + "'-": 25722, + "åıįå¤į": 25723, + "ĠLore": 25724, + "Ġfarmer": 25725, + "辨": 25726, + "Jun": 25727, + "Ġtransit": 25728, + "RENT": 25729, + "Ġhora": 25730, + "碳": 25731, + "Verb": 25732, + "åĮºåĪ«": 25733, + "ZZ": 25734, + "datetime": 25735, + "lm": 25736, + "etheless": 25737, + "éĶIJ": 25738, + "æѦåĻ¨": 25739, + "åĩºåıij": 25740, + "Ġcapacitat": 25741, + "Ġconscience": 25742, + "Ġhomogeneous": 25743, + "Ġgramm": 25744, + "æİĺ": 25745, + "esch": 25746, + "ĠContext": 25747, + "ÑİÑĢ": 25748, + "ĠEspany": 25749, + "винÑĨиÑı": 25750, + "Ġmeanings": 25751, + "ĠRecovery": 25752, + "èĩ£": 25753, + "ĉĉĉĉĉĉĉĉĉ<": 25754, + "çĨ¬": 25755, + "market": 25756, + "ricks": 25757, + "iency": 25758, + "мени": 25759, + "Ġgoverning": 25760, + "uerto": 25761, + "Ġconse": 25762, + "ĠбÑĢи": 25763, + "appropri": 25764, + "ĠConstruction": 25765, + "eyes": 25766, + "alesa": 25767, + "Ġdelayed": 25768, + "ĠVers": 25769, + "ĠEli": 25770, + "ÐłÐµ": 25771, + "ĠMatthew": 25772, + "кÑĨиÑı": 25773, + "Ġaccepting": 25774, + "Ġmarginal": 25775, + "isan": 25776, + "ĠCarlo": 25777, + "------------------------------------------------": 25778, + "Ġcubic": 25779, + "ĠмоÑĢе": 25780, + "CLARE": 25781, + "DEF": 25782, + "Ġimmune": 25783, + "FIELD": 25784, + "ĠCollect": 25785, + "rength": 25786, + "Shared": 25787, + "ĠSK": 25788, + "Ġaluminum": 25789, + "串": 25790, + "Ġcredits": 25791, + "Ġhurry": 25792, + "Execution": 25793, + "è°ĥèĬĤ": 25794, + "ä¸Ģ款": 25795, + "Ġblessing": 25796, + "thus": 25797, + "Ã¥": 25798, + "Ġutmost": 25799, + "Ġgarlic": 25800, + "amor": 25801, + "ĠFinder": 25802, + "Ġcounted": 25803, + "goto": 25804, + "Mount": 25805, + "Ġarrows": 25806, + "ASK": 25807, + "ç¼ĵ解": 25808, + "Äĵ": 25809, + "eas": 25810, + "ĠSSL": 25811, + "Ġselecció": 25812, + "abulary": 25813, + "Ġmonitors": 25814, + "人群": 25815, + "transaction": 25816, + "members": 25817, + "Ġdough": 25818, + "Ġзем": 25819, + "Ġassolir": 25820, + "major": 25821, + "strings": 25822, + "ĠФÑĢи": 25823, + "Ġcentered": 25824, + "ICAL": 25825, + "Ġvague": 25826, + "Ġaltered": 25827, + "Ġadventures": 25828, + "boss": 25829, + "çļĦä¸ĢäºĽ": 25830, + "uniform": 25831, + "Ġproposals": 25832, + "Ġbackward": 25833, + "Ġimagined": 25834, + "Mobile": 25835, + "ATAB": 25836, + "Ġautumn": 25837, + "stead": 25838, + "ĠSchematic": 25839, + "ĠBegin": 25840, + "Ġ@\"": 25841, + "Random": 25842, + "Ġtricks": 25843, + "æĭĽçĶŁ": 25844, + "North": 25845, + "Ġзапад": 25846, + "Ġbehave": 25847, + "ĠEaster": 25848, + "WD": 25849, + "Ġgratitude": 25850, + "RAY": 25851, + "ĠAlan": 25852, + "ĠLiver": 25853, + "particle": 25854, + "$ĠĠ": 25855, + "ĠXP": 25856, + "Ġforgive": 25857, + "ваниÑı": 25858, + "ĉThe": 25859, + "intro": 25860, + "Ġmiserable": 25861, + "浩": 25862, + "ÑĤна": 25863, + "Ġweary": 25864, + "IOException": 25865, + "esper": 25866, + "setText": 25867, + "Ġinvisible": 25868, + "Tor": 25869, + "åģ¥èº«": 25870, + "åĪĽå»º": 25871, + "ĠDeg": 25872, + "ĠSusan": 25873, + "Ġcurriculum": 25874, + "Ġbedrooms": 25875, + "Ġsucce": 25876, + "reo": 25877, + "ä¸įèī¯": 25878, + "é»İ": 25879, + "ĠCultural": 25880, + "Ir": 25881, + "гÑĥÑĢ": 25882, + "éĢ»": 25883, + "Gold": 25884, + "yster": 25885, + "Ġlimitation": 25886, + "Ġmasters": 25887, + "seed": 25888, + "examples": 25889, + "ciones": 25890, + "Detail": 25891, + "Ġclustering": 25892, + "ĠTu": 25893, + "wy": 25894, + "ĠKernel": 25895, + "Append": 25896, + "Ġcourtesy": 25897, + "Ġsaves": 25898, + "Ġsized": 25899, + "unately": 25900, + ")*": 25901, + "ĉ\\\\": 25902, + "kwargs": 25903, + "iguel": 25904, + "reducible": 25905, + "selection": 25906, + "èį£èĢĢ": 25907, + "Binding": 25908, + "Ġshine": 25909, + "ĠUTC": 25910, + "课åłĤ": 25911, + "hfill": 25912, + "heres": 25913, + "Follow": 25914, + "Small": 25915, + "usage": 25916, + "ĠERROR": 25917, + "Ġorganisations": 25918, + "Ġmachinery": 25919, + "turned": 25920, + "Ġempirical": 25921, + "çŃ¾è®¢": 25922, + "Ġanswering": 25923, + "ĠProperties": 25924, + "amine": 25925, + "ĠÐĵÑĬÑĢÑĨиÑı": 25926, + "Ġenfront": 25927, + "çĿ¡çľł": 25928, + "ĠUnable": 25929, + "Ġprevented": 25930, + "ÑĢаÑģÑĤ": 25931, + "Ġexplored": 25932, + "åĪĨç±»": 25933, + "çİĽ": 25934, + "iona": 25935, + "èĤĮèĤ¤": 25936, + "dead": 25937, + "Ġdispon": 25938, + "Ġauxiliary": 25939, + "train": 25940, + "Ġesqu": 25941, + "ĠComplete": 25942, + "ellido": 25943, + "shop": 25944, + "帽": 25945, + "ĠLabel": 25946, + "ĠManual": 25947, + "Ġplugins": 25948, + "ereix": 25949, + "èŁ": 25950, + "åŃĿ": 25951, + "Ġtin": 25952, + "ĠMAC": 25953, + "æĢ»ä½ĵ": 25954, + "Ġshadows": 25955, + "Ġtwisted": 25956, + "Ġfusta": 25957, + "Ġanalytical": 25958, + "]))": 25959, + "Ġги": 25960, + "leftarrow": 25961, + "xc": 25962, + "ç®ĢåįķçļĦ": 25963, + "Pir": 25964, + "Touch": 25965, + "Ġpropagation": 25966, + "ificant": 25967, + "åħļå§Ķ": 25968, + "Ġlonely": 25969, + "ί": 25970, + "Ġafeg": 25971, + "NotFound": 25972, + "Ġcongreg": 25973, + "Ġprejud": 25974, + "设ç«ĭ": 25975, + "èµļéĴ±": 25976, + "Ġ\\[": 25977, + "Ġreparació": 25978, + "ĠоÑĤбоÑĢ": 25979, + "ully": 25980, + "Ġalleged": 25981, + "Ġreconstruct": 25982, + "Ġsteal": 25983, + "goog": 25984, + "ĠMare": 25985, + "æĢ§åĴĮ": 25986, + "sections": 25987, + "é¢ľåĢ¼": 25988, + "ascular": 25989, + "Ġpardon": 25990, + "Ġenters": 25991, + "è¡Į驶": 25992, + "ĠcamÃŃ": 25993, + "offee": 25994, + "ĠFact": 25995, + "åķ¡": 25996, + "翼": 25997, + "Ġprotoc": 25998, + "Ġopponent": 25999, + "tica": 26000, + "Ġcached": 26001, + "大éĩıçļĦ": 26002, + "hur": 26003, + "ĠInnov": 26004, + "rather": 26005, + "endant": 26006, + "Ġintuit": 26007, + "Ġoccurrence": 26008, + "èĤĮèĤī": 26009, + "%ï¼Ľ": 26010, + "ĠGuy": 26011, + "带é¢Ĩ": 26012, + "Ãī": 26013, + "Ġdepartments": 26014, + "ĠÑĥÑģпе": 26015, + "ĠÑĥÑĩаÑģÑĤи": 26016, + "ĠPAR": 26017, + "ĠEither": 26018, + "grace": 26019, + "ĠRaj": 26020, + "oys": 26021, + "Ġ\"#": 26022, + "earth": 26023, + "anners": 26024, + "ĉconst": 26025, + "Ġsuppress": 26026, + "ĠassertThat": 26027, + "Ġmedieval": 26028, + "embed": 26029, + "IEW": 26030, + "ĠOscar": 26031, + "ĠPages": 26032, + "ĠkB": 26033, + "ĠLCD": 26034, + "igrants": 26035, + "Ġexcellence": 26036, + "åħļçļĦ": 26037, + "\\},": 26038, + "udson": 26039, + "Ġworkflow": 26040, + "Ġcasc": 26041, + "ĠÑħеÑĢÑĨо": 26042, + "Ġdelivers": 26043, + "ĠобÑĢа": 26044, + "çĶŁåŃĺ": 26045, + "ä½İäºİ": 26046, + "Weight": 26047, + "Ġoutlet": 26048, + "ĠSebast": 26049, + "Ġcater": 26050, + "Export": 26051, + "æĺİçļĦ": 26052, + "statement": 26053, + "ĠTower": 26054, + "agi": 26055, + "ĠAquests": 26056, + "invest": 26057, + "Ġclay": 26058, + "RET": 26059, + "bounded": 26060, + "代çIJĨ": 26061, + "athon": 26062, + "Ġoz": 26063, + "Ġparámet": 26064, + "incl": 26065, + "ssa": 26066, + "ĠChamber": 26067, + "Ġcomplaints": 26068, + "iante": 26069, + "ĠPreferences": 26070, + "Ġneglected": 26071, + "ĠEug": 26072, + "ĠGit": 26073, + "solid": 26074, + "overflow": 26075, + "ä½Ĩåľ¨": 26076, + "PORTED": 26077, + "Ġds": 26078, + "Ġ'./": 26079, + "Ġcf": 26080, + "Binary": 26081, + "tbl": 26082, + "çľĭåĩº": 26083, + "Ġfres": 26084, + "scripts": 26085, + "ificat": 26086, + "Ġkeyword": 26087, + "Ġprogressive": 26088, + "Ġеле": 26089, + "Ġsparse": 26090, + "Edge": 26091, + "Ġpeers": 26092, + "idenote": 26093, + "Ġobs": 26094, + "ÂłÐ³": 26095, + "ĠStack": 26096, + "ĠEnterprise": 26097, + "Switch": 26098, + "Ġfierce": 26099, + "Ġclo": 26100, + "ново": 26101, + "typename": 26102, + "Ġobserving": 26103, + "Ġentertaining": 26104, + "posa": 26105, + "essment": 26106, + "mobile": 26107, + "ĠGard": 26108, + "MODULE": 26109, + "Ġcomedy": 26110, + "Ġsplitting": 26111, + "Ġrigid": 26112, + "пÑĥÑģка": 26113, + "å°ıå¿ĥ": 26114, + "ĠпÑĬÑĢваÑĤа": 26115, + "South": 26116, + "ĠNAV": 26117, + "ĠRelations": 26118, + "ĠÐĿай": 26119, + "Ġbona": 26120, + "Ġpatio": 26121, + "Ġmicrocontroller": 26122, + "sound": 26123, + "ĠRaf": 26124, + "ĠESP": 26125, + "anies": 26126, + "sia": 26127, + "ĠÑĢолÑı": 26128, + "ĠEstÃł": 26129, + "diction": 26130, + "Intent": 26131, + "Business": 26132, + "Quant": 26133, + "opsis": 26134, + "Ġdisadvant": 26135, + "Ġsemantic": 26136, + "æĺ¯æĮĩ": 26137, + "Ġpractition": 26138, + "Ġga": 26139, + "omon": 26140, + "Segment": 26141, + "ĠrÃłpid": 26142, + "Ġheal": 26143, + "ĠRand": 26144, + "ĠBarbara": 26145, + "arcelon": 26146, + "ĠÐłÐ¸Ð¼": 26147, + "ĠUnd": 26148, + "åIJĮäºĭ": 26149, + "wildfly": 26150, + "berries": 26151, + "ĠпÑĢемина": 26152, + "ĠMT": 26153, + "Ġtrabaj": 26154, + "hig": 26155, + "ĠMix": 26156, + "£": 26157, + "Ðĸ": 26158, + "adapt": 26159, + "ĠFranklin": 26160, + "Ġmaximize": 26161, + "èĩĤ": 26162, + "Ġppa": 26163, + "ÑĩеÑģко": 26164, + "Ġindication": 26165, + "Ġchrist": 26166, + "Ġcoherent": 26167, + "Ġdispar": 26168, + "Ġutilizar": 26169, + "Ġvelocitat": 26170, + "ĠYouth": 26171, + "issippi": 26172, + "Ġvist": 26173, + "èĤ¡æĿĥ": 26174, + "hn": 26175, + "çİ°éĩij": 26176, + "xd": 26177, + "åįµ": 26178, + "深度": 26179, + "ĠArk": 26180, + "Ġcompetitors": 26181, + "ĠASSERT": 26182, + "Dear": 26183, + "Ġmarine": 26184, + "ÑıваÑĤ": 26185, + "éĥ¨ä½į": 26186, + "æ·»åĬł": 26187, + "ĠVin": 26188, + "cked": 26189, + "åľ¨å®¶": 26190, + "hands": 26191, + "Ġllei": 26192, + "resolution": 26193, + "æŨ": 26194, + "åħįçĸ«": 26195, + "entric": 26196, + "Ġmk": 26197, + "ä¸ī大": 26198, + "æļij": 26199, + "tras": 26200, + "Ġcomplain": 26201, + "itches": 26202, + "èµ´": 26203, + "òrica": 26204, + "apolis": 26205, + "ĠÐijал": 26206, + "taken": 26207, + "wealth": 26208, + "жÑĤе": 26209, + "ĠUSD": 26210, + "巨大": 26211, + "æ¸ħæĻ°": 26212, + "Ġexiste": 26213, + "Ġneutrino": 26214, + "ĠGnome": 26215, + "社交": 26216, + "ĠAdditional": 26217, + "ĠVencedor": 26218, + "jQuery": 26219, + "Ġbubble": 26220, + "*_": 26221, + "quiet": 26222, + "XY": 26223, + "å½ĵä½ł": 26224, + "Ġadmire": 26225, + "tained": 26226, + "Donald": 26227, + "èĥľåĪ©": 26228, + "IPS": 26229, + "Ġinitialize": 26230, + "uparrow": 26231, + "iov": 26232, + "Ġprinces": 26233, + "ĠживоÑĤ": 26234, + "Ġapartments": 26235, + "ç¾İ好": 26236, + "Ġalgebraic": 26237, + "Ġties": 26238, + "Ġobligation": 26239, + "iquel": 26240, + "æ¯ıæĹ¥": 26241, + "ĠGirls": 26242, + "åIJĮå¿Ĺ": 26243, + "Ġcustomized": 26244, + "Ġconcerts": 26245, + "ĠCreative": 26246, + "TAG": 26247, + "Ġcançons": 26248, + "heat": 26249, + "Ġconsidera": 26250, + "escola": 26251, + "Ġcomerc": 26252, + "Ġanticipated": 26253, + "еÑĨ": 26254, + "Ġalien": 26255, + "æµģåĬ¨": 26256, + "parency": 26257, + "Mor": 26258, + "кнове": 26259, + "Ġcentr": 26260, + "ÐłÐ°Ð·Ð¿ÑĢоÑģÑĤÑĢанение": 26261, + "Ġauction": 26262, + "pointer": 26263, + "ĠWard": 26264, + "Ġtrailer": 26265, + "Ġcambiar": 26266, + "Ġmarca": 26267, + "ceil": 26268, + "ĠEP": 26269, + "Ġneuro": 26270, + "division": 26271, + "agar": 26272, + "Ġwheat": 26273, + "Ġnoisy": 26274, + "Ann": 26275, + "inces": 26276, + "Upload": 26277, + "ĠJohann": 26278, + "patcher": 26279, + "Ġstrap": 26280, + "Ġpresenting": 26281, + "ĠTHIS": 26282, + "ĠMarÃŃa": 26283, + "ĠWeight": 26284, + "ĠDelhi": 26285, + "Ġedifici": 26286, + "automòbils": 26287, + "plex": 26288, + "ĠCharlotte": 26289, + "Ġoverr": 26290, + "ĠSTR": 26291, + "independent": 26292, + "æĬ¬": 26293, + "åŃIJ女": 26294, + "gall": 26295, + "compute": 26296, + "}.}": 26297, + "ĉ#": 26298, + "аÑĢд": 26299, + "è´¾": 26300, + "ä¸įåĩº": 26301, + "borough": 26302, + "Ġfoc": 26303, + "Ġesdev": 26304, + "Ġnowhere": 26305, + "intent": 26306, + "ĠgeogrÃłfica": 26307, + "umbing": 26308, + "èIJĿåįľ": 26309, + "zens": 26310, + "Ġdeaths": 26311, + "ĠAbd": 26312, + "cred": 26313, + "ĠFerm": 26314, + "ilderness": 26315, + "UK": 26316, + "å²Ń": 26317, + "Ġcontrib": 26318, + "ĠgrÃłfic": 26319, + "erness": 26320, + "brevi": 26321, + "Ġvivid": 26322, + "ĠнаÑģелениеÑĤо": 26323, + "nies": 26324, + "agonal": 26325, + "说æ³ķ": 26326, + "线çļĦ": 26327, + "Integ": 26328, + "!/": 26329, + "Ġrealm": 26330, + "äºĭ项": 26331, + "Ġbio": 26332, + "ĠÐĴаÑĢ": 26333, + "oler": 26334, + "Ġrevision": 26335, + "Ġhug": 26336, + "Ġwinding": 26337, + "July": 26338, + "åIJ«éĩı": 26339, + "æ£ī": 26340, + "rv": 26341, + "æĺ¯æĪij": 26342, + "pipe": 26343, + "Remember": 26344, + "ĠокÑĢÑĬ": 26345, + "ĠHarvard": 26346, + "Processor": 26347, + "Ġqueda": 26348, + "Ġintentar": 26349, + "Static": 26350, + "Online": 26351, + "ĠRick": 26352, + "Ġsecretary": 26353, + "Ġdesenvolupar": 26354, + "Ġprobablement": 26355, + "changing": 26356, + "Ġimported": 26357, + "Os": 26358, + "é£İæĻ¯": 26359, + "Ġflaw": 26360, + "Ġreplication": 26361, + "ĠASC": 26362, + "enough": 26363, + "ана": 26364, + "åѦç§ij": 26365, + "Ġpsy": 26366, + "Ġoccurring": 26367, + "Ġcontexts": 26368, + "纪念": 26369, + "òries": 26370, + "ç»ĥä¹ł": 26371, + "ĠPara": 26372, + "quitectura": 26373, + "Ġhood": 26374, + "ĠRap": 26375, + "Ġоба": 26376, + "çĪĨåıij": 26377, + "Ġabundant": 26378, + "lav": 26379, + "ĠAlber": 26380, + "Ġfiring": 26381, + "herence": 26382, + "Ġcc": 26383, + "Ġagenda": 26384, + "建æĪIJ": 26385, + "Ġliver": 26386, + "Ġruled": 26387, + "èµ°äºĨ": 26388, + "Mil": 26389, + "ĠMario": 26390, + "åĴ±": 26391, + "Ġoccidental": 26392, + "Ġromans": 26393, + "ĠЧеÑĢ": 26394, + "Ġtraged": 26395, + "Ġcontradiction": 26396, + "Ġhydro": 26397, + "ĠAw": 26398, + "Ġexcep": 26399, + "Ġshifts": 26400, + "Ġcontinuum": 26401, + "ĠмеÑģÑĤа": 26402, + "uart": 26403, + "Ġnucli": 26404, + "è¿ĩäºİ": 26405, + "è´¤": 26406, + "affe": 26407, + "æıIJä¾ĽäºĨ": 26408, + "ouver": 26409, + "Loop": 26410, + "nez": 26411, + "åĪ«äººçļĦ": 26412, + "Ġbor": 26413, + "/-": 26414, + "Ġvillages": 26415, + "пада": 26416, + "åĨħ饰": 26417, + "Ġuso": 26418, + ")(\\": 26419, + "Ġlev": 26420, + "å¦Ĥæľī": 26421, + "Ġiterations": 26422, + "extern": 26423, + "docker": 26424, + "ĠYan": 26425, + "ĠGrid": 26426, + "eves": 26427, + "Ġboil": 26428, + "åĤħ": 26429, + "signature": 26430, + "iq": 26431, + "remarks": 26432, + "Instead": 26433, + "Ġdigest": 26434, + "ĉf": 26435, + "immer": 26436, + "èct": 26437, + "valued": 26438, + "Constructor": 26439, + "ĠNations": 26440, + "Ġshades": 26441, + "Sidenote": 26442, + "ĠFP": 26443, + "ĠToo": 26444, + "EEEEFF": 26445, + "ĠнаÑĢе": 26446, + "馨": 26447, + "elligence": 26448, + "Luc": 26449, + "estir": 26450, + "Ġignorant": 26451, + "Ġhaciendo": 26452, + "å¹½": 26453, + "--_": 26454, + "leted": 26455, + "Ġpròpia": 26456, + "åĴĸåķ¡": 26457, + "itari": 26458, + "Ġconn": 26459, + "Ġmaker": 26460, + "Ġbrass": 26461, + "flush": 26462, + "Ġjunior": 26463, + "Ġdistricts": 26464, + "Este": 26465, + "Ġзе": 26466, + "emet": 26467, + "ĠquÃŃm": 26468, + "spacing": 26469, + "ĠPrep": 26470, + "Ġsuccessor": 26471, + "ĠпеÑĢиода": 26472, + "Ġqualify": 26473, + "Ġinfluences": 26474, + "Ġmemorable": 26475, + "Ġbeaten": 26476, + "gold": 26477, + "occup": 26478, + "è¾ĥ大": 26479, + "Encoded": 26480, + "æ·Ģ": 26481, + "Ġdreta": 26482, + "ĠнаÑģлед": 26483, + "plings": 26484, + "没æĥ³åĪ°": 26485, + "åĤ²": 26486, + "Ġnaveg": 26487, + "Ġintersect": 26488, + "ĠвиÑģоÑĩина": 26489, + "Ġsot": 26490, + "Ġunconscious": 26491, + "Ġsixty": 26492, + "Ġtoxic": 26493, + "Ġcheek": 26494, + "å¢ĵ": 26495, + "flix": 26496, + "Ġpantalla": 26497, + "é«ĺè¾¾": 26498, + "ĠBrig": 26499, + "èµĮ": 26500, + "Ġsoftly": 26501, + "æ°ĽåĽ´": 26502, + "opard": 26503, + "ĠSpecifically": 26504, + "Ġdiplom": 26505, + "empre": 26506, + "Ġsolic": 26507, + "Ġtd": 26508, + "Ġrealizar": 26509, + "ĠPlanning": 26510, + "eln": 26511, + "ĠGET": 26512, + "ĠNash": 26513, + "Fill": 26514, + "eri": 26515, + "Ġwinners": 26516, + "processing": 26517, + "Ġlent": 26518, + "Ġmesura": 26519, + "Ġseller": 26520, + "ĠMelbourne": 26521, + "ĠSic": 26522, + "æ¯ıä¸Ģ": 26523, + "unitat": 26524, + "Ġtops": 26525, + "Ġlaying": 26526, + "ĠTi": 26527, + "壳": 26528, + "ĠMurray": 26529, + "ulu": 26530, + "agó": 26531, + "Ġsplash": 26532, + "Ġwages": 26533, + "Android": 26534, + "è´Ńçī©": 26535, + "Ġperipher": 26536, + "ĠConvention": 26537, + "Hen": 26538, + "alter": 26539, + "ĠÐijÑĢа": 26540, + "SUB": 26541, + "åħ¶æ¬¡": 26542, + "enery": 26543, + "Ñħан": 26544, + "ä¾¿å®ľ": 26545, + "Ġembod": 26546, + "Ġnutrition": 26547, + "Ġrecipient": 26548, + "ĠBruce": 26549, + "anni": 26550, + "åĪĬ": 26551, + "Ġsupos": 26552, + "Ġinevitable": 26553, + "ĠExcel": 26554, + "ĠUsually": 26555, + "ĠSession": 26556, + "techn": 26557, + "åķ¥": 26558, + "èµ°åIJij": 26559, + "Ġspectacular": 26560, + "Ġincorporated": 26561, + "Ġneighbourhood": 26562, + "ĠзаÑīи": 26563, + "巨大çļĦ": 26564, + "Ñıване": 26565, + "å¼Ĥ常": 26566, + "Ġhazard": 26567, + "}/\\": 26568, + "ÑĪно": 26569, + "Ġlever": 26570, + "Ġwiki": 26571, + "Ġseeks": 26572, + "Ġsuspicion": 26573, + "ĠPhotos": 26574, + "Ġaliment": 26575, + "listen": 26576, + ",...,": 26577, + "ÙĪ": 26578, + "egu": 26579, + "йÑģкаÑĤа": 26580, + "Ġsembla": 26581, + "agine": 26582, + "ĠMR": 26583, + "Ġbarr": 26584, + "isEmpty": 26585, + "Ġsounded": 26586, + "ĠImages": 26587, + "Ġproclam": 26588, + "æİ¥ä¸ĭæĿ¥": 26589, + "ĠPrimera": 26590, + "Ġtriggered": 26591, + "диÑĤел": 26592, + "Ġcyber": 26593, + "Ġimpacts": 26594, + "Ġrecerca": 26595, + "Ġstylish": 26596, + "Ġdensities": 26597, + "Ġdeclined": 26598, + "Ġmechanics": 26599, + "ĠHyd": 26600, + "Ġmakeup": 26601, + "intendo": 26602, + "Ġmanufactured": 26603, + "ĠFra": 26604, + "éļıæŶ": 26605, + "ĠBuilder": 26606, + "keeping": 26607, + "Entitats": 26608, + "ĠSame": 26609, + "Ġouts": 26610, + "Ep": 26611, + "ä¸įä½Ĩ": 26612, + "æĥ¨": 26613, + "Ġmarx": 26614, + "Ġpobles": 26615, + "canvas": 26616, + "Ġbod": 26617, + "ĠпÑĢин": 26618, + "esi": 26619, + "jections": 26620, + "Ġtorre": 26621, + "åĿIJåľ¨": 26622, + "Ġsunshine": 26623, + "Ġridiculous": 26624, + "Ġbacteria": 26625, + "ĠRing": 26626, + "Ġcommod": 26627, + "ĠScal": 26628, + "Tax": 26629, + "ĠÑİго": 26630, + "ĉstruct": 26631, + "Ġcaf": 26632, + "igües": 26633, + "RESULT": 26634, + "ĠLuke": 26635, + "éģĵå¾·": 26636, + "Ġexclude": 26637, + "éĤĵ": 26638, + "aquestes": 26639, + "尺寸": 26640, + "vertex": 26641, + "åıĬåħ¶": 26642, + "Ġdisg": 26643, + "Ġcapita": 26644, + "Ġproceeds": 26645, + "execut": 26646, + "Premis": 26647, + "BF": 26648, + "ENCE": 26649, + "vision": 26650, + "ĠSSH": 26651, + "Throw": 26652, + "Ġacknowledged": 26653, + "Ġmarit": 26654, + "Ġfract": 26655, + "Ġsquares": 26656, + "CN": 26657, + "mapping": 26658, + "踪": 26659, + "举æĸ¹": 26660, + "Ġjazz": 26661, + "ĠProgress": 26662, + "пÑĢоÑģÑĤÑĢанен": 26663, + "ogg": 26664, + "itate": 26665, + "Ġsistemes": 26666, + "ĠDragon": 26667, + "Ġcorrelations": 26668, + "Ġsurveys": 26669, + "ĠCongrés": 26670, + "ĠDiamond": 26671, + "Ġestatunidencs": 26672, + "ĠSev": 26673, + "withstanding": 26674, + "ambo": 26675, + "Ġarcpy": 26676, + "ä¹Łä¸įæĺ¯": 26677, + "ĠÑĤеÑĢиÑĤоÑĢиÑı": 26678, + "ignore": 26679, + "åĴĮè°IJ": 26680, + "ĠÑĤÑĢÑĥ": 26681, + "Ġintegers": 26682, + "Extra": 26683, + "tables": 26684, + "Ġresponsibilities": 26685, + "Ġpond": 26686, + "Ġspelling": 26687, + "Ġeleven": 26688, + "+|": 26689, + "paces": 26690, + "ĠCourse": 26691, + "idelity": 26692, + "åĮħè£ħ": 26693, + "Ġpreval": 26694, + "æ¡ij": 26695, + "Ġutilizing": 26696, + "кÑĥва": 26697, + "Ġcommanded": 26698, + "Typ": 26699, + "Ġcruise": 26700, + "tok": 26701, + "Ġ(#": 26702, + "ĠTit": 26703, + "pb": 26704, + "Ġrises": 26705, + "Ġparks": 26706, + "Ġocas": 26707, + "valuation": 26708, + "Ġ....": 26709, + "Ġoriental": 26710, + "Ġpays": 26711, + "apro": 26712, + "Ġconting": 26713, + "vendor": 26714, + "éĻĮ": 26715, + "Ġsovi": 26716, + "asper": 26717, + "Brit": 26718, + "Ġquieres": 26719, + "ĠSpect": 26720, + "following": 26721, + "UUID": 26722, + "Ġnecesito": 26723, + "Ġcanc": 26724, + "Ġdeadline": 26725, + "habitatge": 26726, + "UTO": 26727, + "éŃħåĬĽ": 26728, + "ç¡ķ": 26729, + "Develop": 26730, + "Ġworlds": 26731, + "acio": 26732, + "Ġsignifica": 26733, + "Ġexecutable": 26734, + "Ġrejo": 26735, + "ĠĠĠĠĠĠĠĠĠĠ|": 26736, + "ĠLM": 26737, + "itzacions": 26738, + "ÑĢиÑģ": 26739, + "Its": 26740, + "Fire": 26741, + "ém": 26742, + "Ġfeared": 26743, + "第åįģ": 26744, + "Overview": 26745, + "ifty": 26746, + "acom": 26747, + "jamin": 26748, + "Ġunlimited": 26749, + "Ġfeia": 26750, + "Batch": 26751, + "daemon": 26752, + "æĸ°è½¦": 26753, + "æĸ°åĨł": 26754, + "ermark": 26755, + "æĪijä¸į": 26756, + "Ġarriba": 26757, + "å¹´åºķ": 26758, + "è¿ijå¹³": 26759, + "ĠTob": 26760, + "Ġmonster": 26761, + "Ġcited": 26762, + "stri": 26763, + "åĪ°è¾¾": 26764, + "ROP": 26765, + "Ġbehold": 26766, + "Convert": 26767, + "inian": 26768, + "ĠBalt": 26769, + "illion": 26770, + "near": 26771, + ")!": 26772, + "odox": 26773, + "Ġpredomin": 26774, + "ç¼ĸè¾ij": 26775, + "ĠLP": 26776, + "é¼ł": 26777, + "London": 26778, + "Ġalta": 26779, + "Ġcantidad": 26780, + "ĠCulture": 26781, + "rust": 26782, + "òlica": 26783, + "Ġexpedition": 26784, + "ismes": 26785, + "ĠMaking": 26786, + "Ġprospects": 26787, + "æĬ«": 26788, + "Ġbluetooth": 26789, + "æĹ©ä¸Ĭ": 26790, + "Ġrude": 26791, + "Ġinduce": 26792, + "ĠEntertainment": 26793, + "é¢ĩ": 26794, + "Fort": 26795, + "anean": 26796, + "FFER": 26797, + "åį´æĺ¯": 26798, + "Ġconviction": 26799, + "uari": 26800, + "geo": 26801, + "ĠFly": 26802, + "comed": 26803, + "ĠĠĠĠ=": 26804, + "Ġavoiding": 26805, + "Ġreactions": 26806, + "breaking": 26807, + "hall": 26808, + "åħ¨åĬĽ": 26809, + "Ġmong": 26810, + "Ġsuscept": 26811, + "åŁĥ": 26812, + "medium": 26813, + "Ġgraduated": 26814, + "ĠHz": 26815, + "Execute": 26816, + "Ġbreeze": 26817, + "Ġmeantime": 26818, + "locale": 26819, + "tek": 26820, + "Ġcommented": 26821, + "Ġtercera": 26822, + "Ġproyecto": 26823, + "åıijèĤ²": 26824, + "Ġmothers": 26825, + "Ġtransformations": 26826, + "Ġliteratura": 26827, + "æĪijä»¬åľ¨": 26828, + "ĠEra": 26829, + "Ġrailway": 26830, + "ÑĤвÑĬÑĢ": 26831, + "ĠMeanwhile": 26832, + "udis": 26833, + "æĸ°é²ľ": 26834, + "Original": 26835, + "inburgh": 26836, + "ĠEarl": 26837, + "rowave": 26838, + "ä¹łè¿ijå¹³": 26839, + "ĠBlood": 26840, + "Ġmerchant": 26841, + "audi": 26842, + "Ġlandsc": 26843, + "Ġarrays": 26844, + "ĠcaracterÃŃstiques": 26845, + "prepare": 26846, + "ĠÐĶÑĥ": 26847, + "æĺ¾çĦ¶": 26848, + "Ġек": 26849, + "ede": 26850, + "ĠagrÃŃcoles": 26851, + "ĠSalt": 26852, + "ĠĠĠĠĠĠĠ<": 26853, + "Ġdoble": 26854, + "наÑĢ": 26855, + "Ġnail": 26856, + "Ġdisconnected": 26857, + "ĠAgent": 26858, + "меÑģÑĤ": 26859, + "Ġocupar": 26860, + "èµ°è¿Ľ": 26861, + "pf": 26862, + "éĺ¿éĩĮ": 26863, + "Zone": 26864, + "secure": 26865, + "agma": 26866, + "çĻ½èī²": 26867, + "Cref": 26868, + "Il": 26869, + "FORMAT": 26870, + "Fecha": 26871, + "ĉ&&": 26872, + "Ġnuts": 26873, + "Ġpermanently": 26874, + "Ġconstrained": 26875, + "ĠApplications": 26876, + "Ġtemporarily": 26877, + "Europe": 26878, + "заÑĢ": 26879, + "Ġrelates": 26880, + "ĠTed": 26881, + "Ġtreats": 26882, + "Ġreproduce": 26883, + "Ġprotocols": 26884, + "Ġdich": 26885, + "Ġpublications": 26886, + "èĶ¡": 26887, + "AI": 26888, + "òd": 26889, + "Ġtide": 26890, + "éħįå¥Ĺ": 26891, + "é«ĺåħ´": 26892, + "æŀ¢": 26893, + "Ġtorrent": 26894, + "ĠÑģко": 26895, + "º": 26896, + "uke": 26897, + "gina": 26898, + "raham": 26899, + "Ġconsumed": 26900, + "asia": 26901, + "åĴĮåĽ½": 26902, + "Ġaccidents": 26903, + "ĠÑĨе": 26904, + "Ġpalm": 26905, + "Ġepisodes": 26906, + "Ġsmoothly": 26907, + "ĠLinked": 26908, + "Ġsealed": 26909, + "Ġdated": 26910, + "äºijåįĹ": 26911, + "Obres": 26912, + "æĸ°åĮº": 26913, + "欺": 26914, + "åīįå¾Ģ": 26915, + "Ġheated": 26916, + "äºĮæĺ¯": 26917, + "Ġparal": 26918, + "Ġattributed": 26919, + "Ġowing": 26920, + "Axis": 26921, + "Usuario": 26922, + "è¯Ħä¼°": 26923, + "midrule": 26924, + "ĠChristianity": 26925, + "abolic": 26926, + "Ġbuzz": 26927, + "achers": 26928, + "éŃı": 26929, + "Ġclimbing": 26930, + "Resol": 26931, + "Ġestablishing": 26932, + "Ġmuy": 26933, + "signal": 26934, + "ĠMethods": 26935, + "Äĥ": 26936, + "Ġfork": 26937, + "Ġfavorable": 26938, + "åįļ士": 26939, + "ĠIowa": 26940, + "Ġcheeks": 26941, + "Ġforums": 26942, + "Ġcron": 26943, + "Ġabsorbed": 26944, + "豪åįİ": 26945, + "ĠPep": 26946, + "constructor": 26947, + "blems": 26948, + "ĠBernard": 26949, + "Ġdispersion": 26950, + "ĠKB": 26951, + "ĠÑģиÑģÑĤема": 26952, + "ĠNetworkManager": 26953, + "Ġclarity": 26954, + "ĠUsers": 26955, + "Ġwashed": 26956, + "Ġcapit": 26957, + "Ġlecture": 26958, + "MAP": 26959, + "Ġsoap": 26960, + "ĠTrad": 26961, + "Ġanalyses": 26962, + "ĠStra": 26963, + "ĠScottish": 26964, + "shore": 26965, + "ÐĴижÑĤе": 26966, + "å§IJå§IJ": 26967, + "ÑĤка": 26968, + "Transport": 26969, + "rwx": 26970, + "Grad": 26971, + "ĠCarn": 26972, + "Ġheritage": 26973, + "Ġconspir": 26974, + "ĠÐķвÑĢопа": 26975, + "Ġfranchise": 26976, + "ĠIncre": 26977, + "жде": 26978, + "ĠAnc": 26979, + "SED": 26980, + "ô": 26981, + "whose": 26982, + "icode": 26983, + "rio": 26984, + "ĠChip": 26985, + "arrib": 26986, + "ĠADD": 26987, + "å·¥åİĤ": 26988, + "adm": 26989, + "Ġcalibration": 26990, + "ĠCentury": 26991, + "åľ°éĵģ": 26992, + "Ġpolynomials": 26993, + "ĠRobin": 26994, + "vr": 26995, + "Ġelli": 26996, + "Ġcoupon": 26997, + "ÑĤон": 26998, + "Ġgrammatical": 26999, + "ĠNether": 27000, + "Ġ'-": 27001, + "èĢķ": 27002, + "å°±ç®Ĺ": 27003, + "rame": 27004, + "isse": 27005, + "Ġbub": 27006, + "Ġinjection": 27007, + "Nullable": 27008, + "Ġtours": 27009, + "Ġobed": 27010, + "说äºĨ": 27011, + "å¸Ĥå§Ķ": 27012, + "Ġshaft": 27013, + "ä¿Ŀåģ¥": 27014, + "Bounds": 27015, + "burst": 27016, + "Ġmigr": 27017, + "ĠBeat": 27018, + "Ġнеза": 27019, + "жина": 27020, + "Among": 27021, + "typ": 27022, + "Ġperfection": 27023, + "ĠProfile": 27024, + "gun": 27025, + "Ġshifted": 27026, + "tax": 27027, + "Ġinquired": 27028, + "recogn": 27029, + "ĠCha": 27030, + "Ġtwin": 27031, + "Ġcurt": 27032, + "顾客": 27033, + "мÑģ": 27034, + "ĠWalker": 27035, + "Ġignorance": 27036, + "ynamics": 27037, + "TRY": 27038, + "icut": 27039, + "others": 27040, + "Ġadmits": 27041, + "ç£ģ": 27042, + "ILITY": 27043, + "ĠRule": 27044, + "Ġ'_": 27045, + "Ġdisappear": 27046, + "servers": 27047, + "prises": 27048, + "çĭ¼": 27049, + "ĠAmy": 27050, + "ä½ľåĩº": 27051, + "ĠExc": 27052, + "Ġborders": 27053, + "Ġcomic": 27054, + "invariant": 27055, + "Ġspacious": 27056, + "James": 27057, + "opin": 27058, + "ĠFeature": 27059, + "对å¤ĸ": 27060, + "maker": 27061, + "lists": 27062, + "Ġstructured": 27063, + "ARRANT": 27064, + "论åĿĽ": 27065, + "Ġrecognised": 27066, + "ĠÐIJнг": 27067, + "Ġgrinding": 27068, + "Ġrelatives": 27069, + "ĠRoll": 27070, + "âĶľ": 27071, + "ĠMAR": 27072, + "Pet": 27073, + "Ġnada": 27074, + "Ġpreliminary": 27075, + "Ġlifting": 27076, + "Ġfmt": 27077, + "oples": 27078, + "æ¹ĸåĮĹ": 27079, + "Counter": 27080, + "人éĥ½": 27081, + "Wallet": 27082, + "ĠNep": 27083, + "uto": 27084, + "çłĤ": 27085, + "atisf": 27086, + "ÑīоÑĤо": 27087, + "Ġtimely": 27088, + "Ġfila": 27089, + "NI": 27090, + "HEAD": 27091, + "Ġcoarse": 27092, + "Ġblade": 27093, + "åıijåĩº": 27094, + "aceut": 27095, + "éĢ¸": 27096, + "мÑģки": 27097, + "Ġinspiring": 27098, + "Ġsegles": 27099, + "Ġshallow": 27100, + "Ġplanted": 27101, + "Ġnatives": 27102, + "Happy": 27103, + "ivot": 27104, + "Ġbend": 27105, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 27106, + "ALTER": 27107, + "Ġnm": 27108, + "Ġdecimal": 27109, + "Ġmanners": 27110, + "ÑģÑĤеÑĢ": 27111, + "Ġcandle": 27112, + "ä¼ļåijĺ": 27113, + "ĠDouglas": 27114, + "Ġliable": 27115, + "ère": 27116, + "дви": 27117, + "Ġextraction": 27118, + "ĠRather": 27119, + "bach": 27120, + "___": 27121, + "ainted": 27122, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 27123, + "Ġpanic": 27124, + "vÃŃ": 27125, + "ĠÑģлÑĥÑĩа": 27126, + "performance": 27127, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 27128, + "leys": 27129, + "Ġtray": 27130, + "Ġexpects": 27131, + "нени": 27132, + "ripcion": 27133, + "Ġpaintings": 27134, + "ĠBeck": 27135, + "Ġnodded": 27136, + "Ġparliament": 27137, + "Ãįndia": 27138, + "ĠMón": 27139, + "ÑĦек": 27140, + "визиÑı": 27141, + "Ġaddr": 27142, + "Ġexhausted": 27143, + "ĠDels": 27144, + "Ġmush": 27145, + "Forms": 27146, + "çĿ¡è§ī": 27147, + "edo": 27148, + "ĠALIGN": 27149, + "丧": 27150, + "Ġflooring": 27151, + "Chapter": 27152, + "ĠобаÑĩе": 27153, + "Ġshipped": 27154, + "Messages": 27155, + "IENT": 27156, + "itations": 27157, + "çĤ¹çļĦ": 27158, + "Ġtat": 27159, + "Ġconsiders": 27160, + "åIJĪæł¼": 27161, + "轿": 27162, + "anne": 27163, + "Reason": 27164, + "Ġtransmitted": 27165, + "ĠEnvironmental": 27166, + "Sorry": 27167, + "escape": 27168, + "Habitat": 27169, + "ĠBeautiful": 27170, + "COUNT": 27171, + "ĠYellow": 27172, + "Ãłp": 27173, + "Ġgenetic": 27174, + "girl": 27175, + "Ġrefined": 27176, + "awt": 27177, + "Ġtradem": 27178, + "ĠÑħаÑĢак": 27179, + "Large": 27180, + "Ġ':": 27181, + "ingué": 27182, + "åİŁæľ¬": 27183, + "ĠEconomic": 27184, + "assador": 27185, + "Ġformes": 27186, + "说æĺ¯": 27187, + "chrome": 27188, + "Analysis": 27189, + "åĬĿ": 27190, + "éħįå¤ĩ": 27191, + "ĠAdded": 27192, + "Ġspecialists": 27193, + "ĠMorris": 27194, + "Ġoverl": 27195, + "Ġunip": 27196, + "Ġtransverse": 27197, + "Ġcircumstance": 27198, + "Ġayud": 27199, + "adura": 27200, + "riament": 27201, + "èįĴ": 27202, + "Columns": 27203, + "æĸ°å¢ŀ": 27204, + "ĠRuth": 27205, + "ĠRoc": 27206, + "ascut": 27207, + "ĠChallenge": 27208, + "elebr": 27209, + "Ġperspect": 27210, + "Ġtalents": 27211, + "槽": 27212, + "âĨĵ": 27213, + "iemann": 27214, + "downarrow": 27215, + "Ġthereof": 27216, + "Serializer": 27217, + "Sin": 27218, + "Origin": 27219, + "Ġseas": 27220, + "çĽ²": 27221, + "æĹ¥æĬ¥": 27222, + "bag": 27223, + "ÃŃtols": 27224, + "估计": 27225, + "ĠChen": 27226, + "Ġfreeze": 27227, + "ĠÑĢезÑĥл": 27228, + "åIJĪæ³ķ": 27229, + "ològic": 27230, + "Ġrebel": 27231, + "Coll": 27232, + "Ġcloset": 27233, + "Reset": 27234, + "ĠÐŀÑĢ": 27235, + "environment": 27236, + "ĠBeth": 27237, + "æľºåĬ¨": 27238, + "Ġbrig": 27239, + "ç»Ļä»ĸ": 27240, + "Ġfunded": 27241, + "积累": 27242, + "éĢ¢": 27243, + "ĠGA": 27244, + "Ġkg": 27245, + "estructura": 27246, + "Ġproprietary": 27247, + "Ġenhancement": 27248, + "friends": 27249, + "ĠлÑİ": 27250, + "_);": 27251, + "Ġquas": 27252, + "retty": 27253, + "Failure": 27254, + "æİ¥çĿĢ": 27255, + "ĠAllow": 27256, + "GG": 27257, + "ĠTrail": 27258, + "ĠЧе": 27259, + "emor": 27260, + "Ġabrupt": 27261, + "ä¸ĬçıŃ": 27262, + "vars": 27263, + "Ġlan": 27264, + "Ġcaring": 27265, + "Ġcomply": 27266, + "Ġorthogonal": 27267, + "Accept": 27268, + "(/": 27269, + "ĠOliver": 27270, + "Ġcurl": 27271, + "ä¹ĭæīĢ以": 27272, + "money": 27273, + "æĶ¶è´Ń": 27274, + "Month": 27275, + "Ġcleaned": 27276, + "гÑĢи": 27277, + "éľį": 27278, + "ĠRandom": 27279, + "Ġnominal": 27280, + "Ġbetting": 27281, + "NavBarFont": 27282, + "Ġretained": 27283, + "леÑĢ": 27284, + "åŁĭ": 27285, + "Customer": 27286, + "ĠCRE": 27287, + "ĉassert": 27288, + "ĠMoses": 27289, + "Identity": 27290, + "ĠÐ¥ÑĢиÑģÑĤо": 27291, + "navigation": 27292, + "fonts": 27293, + "Ġopts": 27294, + "Rot": 27295, + "Ġdiagnostic": 27296, + "Ġdevast": 27297, + "Notice": 27298, + "åĽŀå¿Ĩ": 27299, + "ĠChristopher": 27300, + "Ġcombines": 27301, + "stackrel": 27302, + "ĠComo": 27303, + "urades": 27304, + "åĤ¬": 27305, + "ĠMayor": 27306, + "ĠSprings": 27307, + "arity": 27308, + "赤": 27309, + "Ġdefeated": 27310, + "Ġdescriptor": 27311, + "Air": 27312, + "ĠEt": 27313, + "ERAL": 27314, + "fellow": 27315, + "Ġunderneath": 27316, + "uffle": 27317, + "æ¶Į": 27318, + "åijĨ": 27319, + "Ġnewspapers": 27320, + "Ġarmor": 27321, + "Ġtambién": 27322, + "Ġpam": 27323, + "æ°ijéĹ´": 27324, + "èĥĮåIJİ": 27325, + "igi": 27326, + "ĠFeed": 27327, + "Ġkings": 27328, + "Ġtraditions": 27329, + "ĠAuthority": 27330, + "ĠNacions": 27331, + "éľľ": 27332, + "Ġmapped": 27333, + "adal": 27334, + "Ġinfluència": 27335, + "ĠTow": 27336, + "Ġantics": 27337, + "ĠпÑĬÑĢво": 27338, + "ossos": 27339, + "ĠFaith": 27340, + "Ġshy": 27341, + "Ġintrinsic": 27342, + "Ġonclick": 27343, + "upgrade": 27344, + "Ġpostgres": 27345, + "ĠFlorence": 27346, + "Ġenjoyable": 27347, + "дан": 27348, + "ĠпÑĢавиÑĤел": 27349, + "ĠAfghan": 27350, + "olate": 27351, + "Ġtheater": 27352, + "ĠTOP": 27353, + "orum": 27354, + "Ġimaginary": 27355, + "ĠпоÑĩ": 27356, + "Ġindustri": 27357, + "POS": 27358, + "Ġconducting": 27359, + "ĠCrown": 27360, + "STRA": 27361, + "Ġetiqu": 27362, + "转载": 27363, + "Ġneeding": 27364, + "è¯ĨåĪ«": 27365, + "[[": 27366, + "ĠÐIJнд": 27367, + "èĴĤ": 27368, + "validation": 27369, + "Distribució": 27370, + "lime": 27371, + "installed": 27372, + "reflect": 27373, + "ложен": 27374, + "Ġverm": 27375, + "Ġrelies": 27376, + "ĠPatrimoni": 27377, + "Ġic": 27378, + "åѦçĶŁçļĦ": 27379, + "Ġpropied": 27380, + "èĪŀåı°": 27381, + "Ġattendance": 27382, + "emption": 27383, + "Ġconté": 27384, + "Ġmerit": 27385, + "Ġhorn": 27386, + "TestCase": 27387, + "ictions": 27388, + "Ġpodia": 27389, + "cad": 27390, + "ernels": 27391, + "atson": 27392, + "ĠWARRANT": 27393, + "Ġremedy": 27394, + "Ġlightweight": 27395, + "Ġconsulting": 27396, + "ĠWol": 27397, + "listes": 27398, + "snd": 27399, + "hex": 27400, + "æĬļ": 27401, + "Hy": 27402, + "د": 27403, + "ĠпоÑģÑĤа": 27404, + "administració": 27405, + "ĠABC": 27406, + "Ġming": 27407, + "resolved": 27408, + "highlight": 27409, + "ĠHung": 27410, + "ÐŁÑĢи": 27411, + "Ġsweat": 27412, + "ĠVe": 27413, + "Ġsto": 27414, + "iquen": 27415, + "ä¸īåĪĨ": 27416, + "eme": 27417, + "distribution": 27418, + "Ġtabs": 27419, + "ĠÑģÑĬÑİз": 27420, + "ammed": 27421, + "scient": 27422, + "Visit": 27423, + "'',": 27424, + "Ġvictòria": 27425, + "ĠвклÑİÑĩва": 27426, + "Ġgeomet": 27427, + "ĠXXX": 27428, + "bread": 27429, + "prevent": 27430, + "Ġgaining": 27431, + "superv": 27432, + "Ġestil": 27433, + "etta": 27434, + "Ġglobally": 27435, + "cannot": 27436, + "Ġinsisted": 27437, + "пиÑĤа": 27438, + "udev": 27439, + "Ġdelic": 27440, + "ĠDecor": 27441, + "antics": 27442, + "Ġrelaxing": 27443, + "Ġagricultural": 27444, + "elian": 27445, + "Ġaccret": 27446, + "Ġpromptly": 27447, + "ĠÑģÑĢеÑīа": 27448, + "Nor": 27449, + "çļĦåŃ©åŃIJ": 27450, + "illery": 27451, + "çļĦ人çĶŁ": 27452, + "Ġhesitate": 27453, + "åģľæŃ¢": 27454, + "hearted": 27455, + "Ġappreciation": 27456, + "éĢĤéĩı": 27457, + "Strategy": 27458, + "Ġsentit": 27459, + "нга": 27460, + "itaris": 27461, + "Ġrouting": 27462, + "nas": 27463, + "ĠOd": 27464, + ",)": 27465, + "oustic": 27466, + "åĪĩå®ŀ": 27467, + "mediately": 27468, + "Ġhorm": 27469, + "Comparison": 27470, + "Ġdemanding": 27471, + "lishers": 27472, + "Ġpayload": 27473, + "ĠFilip": 27474, + "Addr": 27475, + "Subject": 27476, + "ĠREAD": 27477, + "Ġales": 27478, + "âĤĤ": 27479, + "ĠLL": 27480, + "sometimes": 27481, + "Ġ\";": 27482, + "ĠMarine": 27483, + "èĢĮå·²": 27484, + "ĠMaine": 27485, + "Ġcomença": 27486, + "Ġepid": 27487, + "ĠвлаÑģÑĤ": 27488, + "æĢĢåŃķ": 27489, + "cedure": 27490, + "PART": 27491, + "Ġencoded": 27492, + "airo": 27493, + "Ġprofund": 27494, + "Ġllengües": 27495, + "Ġrifle": 27496, + "UV": 27497, + "Ġ***": 27498, + "ĠÐľÐµÐ¶Ð´Ñĥ": 27499, + "ĠIg": 27500, + "Ġmomento": 27501, + "matter": 27502, + "ribly": 27503, + "heading": 27504, + "Ġvall": 27505, + "Renderer": 27506, + "Ġencoder": 27507, + "arious": 27508, + "ĠпÑĢедÑģÑĤа": 27509, + "Ġsprang": 27510, + "Numer": 27511, + "Ġfabricació": 27512, + "ailability": 27513, + "gui": 27514, + "Ġdatetime": 27515, + "夸": 27516, + "shots": 27517, + "Ġexquis": 27518, + "rade": 27519, + "Ġhomework": 27520, + "Ġdice": 27521, + "CHECK": 27522, + "коÑĤо": 27523, + "acqu": 27524, + "çļĦä»·æł¼": 27525, + "&-": 27526, + "imits": 27527, + "ĠThor": 27528, + "ĠOM": 27529, + "ufficient": 27530, + "Ġdecreased": 27531, + "ancouver": 27532, + "åįļçī©é¦Ĩ": 27533, + "Ġarom": 27534, + "Vertex": 27535, + "Ġobserver": 27536, + "带åĬ¨": 27537, + "åĨĽäºĭ": 27538, + "Ġping": 27539, + "Ignore": 27540, + "istro": 27541, + "akened": 27542, + "боÑĢа": 27543, + "纤维": 27544, + "Ġmankind": 27545, + "Ġjugar": 27546, + "iating": 27547, + "æĺ¯å¯¹": 27548, + "ä¸įåĬ¨": 27549, + "/,": 27550, + "escope": 27551, + "ĠQual": 27552, + "ĠHAL": 27553, + "究竣": 27554, + "ĠserÃŃa": 27555, + "Ġoils": 27556, + "碧": 27557, + "å·®å¼Ĥ": 27558, + "æ¶Ī失": 27559, + "Ġnavbar": 27560, + "ĠKir": 27561, + "请æ±Ĥ": 27562, + "ä¸įå¼Ģ": 27563, + "Below": 27564, + "Four": 27565, + "äºĭå®ŀä¸Ĭ": 27566, + "Ġbroader": 27567, + "Ġmistress": 27568, + "atable": 27569, + "Ġemerged": 27570, + "Ġdeer": 27571, + "Ġhers": 27572, + "Ġpobresa": 27573, + "ĠпоÑı": 27574, + "Ġtribe": 27575, + "Ġforests": 27576, + "ĠСÑĤе": 27577, + "Ġbelonged": 27578, + "æµ´": 27579, + "åıĸæ¶Ī": 27580, + "çĸ¼çĹĽ": 27581, + "Ġfigura": 27582, + "渴": 27583, + "ĠÑģпоÑĢед": 27584, + "Ġkeywords": 27585, + "Landroid": 27586, + "Ġfinancing": 27587, + "Ġcopying": 27588, + "Partition": 27589, + "ĠKl": 27590, + "ĠпÑĢоÑĤи": 27591, + "è¾ĥ为": 27592, + "Ġcampanya": 27593, + "Ġvegetable": 27594, + "Mont": 27595, + "Ġplugged": 27596, + "ĠPink": 27597, + "whole": 27598, + "ĠGraham": 27599, + "(()": 27600, + "ÑħиÑĤе": 27601, + "Ġfog": 27602, + "ĠActivity": 27603, + "isi": 27604, + "Ġconditioning": 27605, + "Ġdemonstrates": 27606, + "ĠÑĤÑĬÑĢго": 27607, + "ĠAntoni": 27608, + "psline": 27609, + "Platform": 27610, + "æķĻç»ĥ": 27611, + "ĠSchools": 27612, + "ipeline": 27613, + "浦": 27614, + "Ġprevention": 27615, + "Ġincidents": 27616, + "Compiler": 27617, + "Ġcaval": 27618, + "åĪł": 27619, + "propto": 27620, + "Ġsticks": 27621, + "Ġtroubled": 27622, + "ustria": 27623, + "зÑĬм": 27624, + "compatible": 27625, + "router": 27626, + "Ġbarcelon": 27627, + "ĠPromise": 27628, + "çĶŁæĦı": 27629, + "æĭħä»»": 27630, + "ĠBret": 27631, + "Ġpoems": 27632, + "ĠDirectory": 27633, + "äºļæ´²": 27634, + "Ġcommune": 27635, + "bath": 27636, + "æī¿è¯º": 27637, + "Ġpetits": 27638, + "ç¦ħ": 27639, + "ĠPall": 27640, + "phabet": 27641, + "Ġdisposed": 27642, + "conditions": 27643, + "Ġallocated": 27644, + "imedia": 27645, + "Ġassisted": 27646, + "Ġchemicals": 27647, + "Ġmagical": 27648, + "Ġpid": 27649, + "ĠLower": 27650, + "GeV": 27651, + "ÃŃfics": 27652, + "Ġcantó": 27653, + "èģĶèµĽ": 27654, + "Ġappliances": 27655, + "ĠCircuitLab": 27656, + "makers": 27657, + "Ġnúm": 27658, + "jk": 27659, + "ĠÑģвоÑı": 27660, + "Ġactriu": 27661, + "Ġgateway": 27662, + "verting": 27663, + "ĠRy": 27664, + "Ġconèixer": 27665, + "awk": 27666, + "Navigation": 27667, + "Ġimperial": 27668, + "åľ¨å¤§": 27669, + "æŶåħī": 27670, + "bey": 27671, + "Ġinherited": 27672, + "ĠÑĥÑģп": 27673, + "mitt": 27674, + "ĠFIG": 27675, + "Ġpassenger": 27676, + "Ġводи": 27677, + "ĠAzure": 27678, + "className": 27679, + "ĠCash": 27680, + "orneys": 27681, + "лиÑĨа": 27682, + "ĠUPDATE": 27683, + "Ġpermetre": 27684, + "Qt": 27685, + "Robert": 27686, + "Ġclue": 27687, + "è¯ķéªĮ": 27688, + "Ġpoles": 27689, + "ĠAffairs": 27690, + "ĠJonathan": 27691, + "ĠÑģÑĤÑĢани": 27692, + "æĺĤ": 27693, + "blob": 27694, + "Console": 27695, + "enue": 27696, + "ĠPrivacy": 27697, + "Give": 27698, + "deal": 27699, + "ĠPostgreSQL": 27700, + "è°ĥçłĶ": 27701, + "ä¸ij": 27702, + "ĠCuba": 27703, + "ĠMalays": 27704, + "ĠÑģобÑģÑĤве": 27705, + "ä¿©": 27706, + "Ġattraction": 27707, + "ĠKa": 27708, + "æľ´": 27709, + "thy": 27710, + "ç®Ģ缴": 27711, + "uba": 27712, + "ĠманаÑģÑĤи": 27713, + "Ġeagerly": 27714, + "adesh": 27715, + "å«Įçĸij": 27716, + "ÐĽÐ¸ÑĤеÑĢаÑĤÑĥÑĢа": 27717, + "Ġcared": 27718, + "Machine": 27719, + "çļĦèĢģ": 27720, + "ĠHolland": 27721, + "gif": 27722, + "Ġdots": 27723, + "Ġinvested": 27724, + "èĪĮ": 27725, + "ä»ĺåĩº": 27726, + "Ġgaps": 27727, + "Points": 27728, + "Ġfrost": 27729, + "eriorment": 27730, + "ĠCe": 27731, + "umm": 27732, + "æķ°åѦ": 27733, + "optimal": 27734, + "Ġbuscar": 27735, + "çī§": 27736, + "Ġmattress": 27737, + "FW": 27738, + "Ġtablets": 27739, + "trust": 27740, + "evalu": 27741, + "BH": 27742, + "ĠPART": 27743, + "'].": 27744, + "Ġknight": 27745, + "ĠÑĤвоÑĢ": 27746, + "å¤ı天": 27747, + "trivial": 27748, + "çªĿ": 27749, + "ĠпиÑģаÑĤел": 27750, + "Ġnotifications": 27751, + "Ġoscillator": 27752, + "parently": 27753, + "ĉĉĉĉ$": 27754, + "Ġtorque": 27755, + "Cat": 27756, + "ĠStay": 27757, + "ä¸Ģåıª": 27758, + "neys": 27759, + "abis": 27760, + "æĸ°æĹ¶ä»£": 27761, + "dua": 27762, + "ä¸į太": 27763, + "Ġcontamin": 27764, + "Ġilles": 27765, + "Ġcompletes": 27766, + "scriptscriptstyle": 27767, + "soever": 27768, + "liness": 27769, + "Ñģло": 27770, + "Ãłlis": 27771, + "Timer": 27772, + "igion": 27773, + "åĨ²åĩ»": 27774, + "åij½è¿IJ": 27775, + "кваÑĤа": 27776, + "Ġsimplified": 27777, + "Ġsubstantially": 27778, + "ĠAnimal": 27779, + "ĠGround": 27780, + "èijĹåIJį": 27781, + "ĠPlatform": 27782, + "ĠCalifòrnia": 27783, + "Ġ\\{\\": 27784, + "ĠPrec": 27785, + "ĠPalace": 27786, + "лей": 27787, + "Ġtrag": 27788, + "åĽ½äº§": 27789, + "yellow": 27790, + "binding": 27791, + "ende": 27792, + "chen": 27793, + "espai": 27794, + "åĽ½çļĦ": 27795, + "Ġspreading": 27796, + "ĠGM": 27797, + "Ġdeadly": 27798, + "æ£ĭ": 27799, + "oidal": 27800, + "涯": 27801, + "_\"": 27802, + "textup": 27803, + "usually": 27804, + "Ġempire": 27805, + "Cmd": 27806, + "/_": 27807, + "Ġphon": 27808, + "ĠAch": 27809, + "Ġbapt": 27810, + "Ġanimated": 27811, + "license": 27812, + "Ġnobles": 27813, + "amo": 27814, + "ĠUnlike": 27815, + "Ġrestauració": 27816, + "Ġdistribució": 27817, + "Ġartifact": 27818, + "Ġmall": 27819, + "ĠRunning": 27820, + "Ġcout": 27821, + "logging": 27822, + "ĠSleep": 27823, + "Ġcompetició": 27824, + "ĠDetroit": 27825, + "Ġdescobr": 27826, + "лÑıÑĢ": 27827, + "Ġdiferència": 27828, + "ĠTarr": 27829, + "ĠÑĨÑĬÑĢква": 27830, + "minded": 27831, + "æĪij们è¦ģ": 27832, + "chestra": 27833, + "Ġtrains": 27834, + "Educ": 27835, + "ĠШа": 27836, + "erial": 27837, + "Ġgracias": 27838, + "Similarly": 27839, + "ĠMeeting": 27840, + "åĭŁ": 27841, + "ctrl": 27842, + "ĠVerm": 27843, + "Ñģобе": 27844, + "frequency": 27845, + "Ġfals": 27846, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ<": 27847, + "ĠÑĢод": 27848, + "aspberry": 27849, + "proved": 27850, + "Ġts": 27851, + "ĠGene": 27852, + "æľĢ为": 27853, + "photon": 27854, + "çģ«ç®Ń": 27855, + "createElement": 27856, + "terminal": 27857, + "è¾°": 27858, + "约å®ļ": 27859, + "Ġlluita": 27860, + "Tile": 27861, + "Ġcargo": 27862, + "Ġlongest": 27863, + "è·ŁçĿĢ": 27864, + "æĹ¢çĦ¶": 27865, + "Ġthankful": 27866, + "Ġdreadful": 27867, + "Ġrelacions": 27868, + "Country": 27869, + "vex": 27870, + "Ġregne": 27871, + "Ġbiological": 27872, + "Ġreplica": 27873, + "Ġsyll": 27874, + "Ġlookup": 27875, + "ĠÑĥмиÑĢа": 27876, + "Ġsimplify": 27877, + "Permission": 27878, + "emperador": 27879, + "sterdam": 27880, + "STER": 27881, + "强大": 27882, + "ĠJson": 27883, + "éĩĬæĶ¾": 27884, + "tit": 27885, + "ĠDemocrats": 27886, + "cin": 27887, + "çĻ¾åĪĨ": 27888, + "ulta": 27889, + "æĭ¿åĪ°": 27890, + "Ġafore": 27891, + "MAR": 27892, + "Ġpintor": 27893, + "ĠMés": 27894, + "Ġdiodes": 27895, + "åį±å®³": 27896, + "çŁŃæľŁ": 27897, + "Ġdistribute": 27898, + "转移": 27899, + "èħ¾è®¯": 27900, + "ĠIllustr": 27901, + "ĠSql": 27902, + "ĠKnight": 27903, + "ĠWhatever": 27904, + "autore": 27905, + "wheel": 27906, + "Ġadmiration": 27907, + "çĶ±æѤ": 27908, + "ÑĩаÑĤ": 27909, + "åļ": 27910, + "Ġprobabilities": 27911, + "åIJİéĿ¢": 27912, + "Ġwx": 27913, + "Ġwars": 27914, + "ĠUUID": 27915, + "ĠComponent": 27916, + "Fixed": 27917, + "lated": 27918, + "Ġjunction": 27919, + "ousel": 27920, + "Ġmalalt": 27921, + "Jug": 27922, + "Ġapples": 27923, + "Ġworkout": 27924, + "itzen": 27925, + "Ġpedest": 27926, + "lef": 27927, + "Ġpacking": 27928, + "åł¡": 27929, + "Ġmolecules": 27930, + "ĠMes": 27931, + "Ġchiefly": 27932, + "--------------": 27933, + "DK": 27934, + "omar": 27935, + "ologically": 27936, + "sembles": 27937, + "å¿ĺè®°": 27938, + "ĠDak": 27939, + "å¼ıçļĦ": 27940, + "Plus": 27941, + "drawn": 27942, + "hp": 27943, + "Ġacquaintance": 27944, + "ĠÑģÑĬÑīеÑģÑĤ": 27945, + "ĠGE": 27946, + "()),": 27947, + "мани": 27948, + "лени": 27949, + "ĠMovie": 27950, + "ĠWonder": 27951, + "æĶ¾æĿ¾": 27952, + "Å¡ÃŃ": 27953, + "otos": 27954, + "azar": 27955, + "ĠÑĤеа": 27956, + "Amount": 27957, + "October": 27958, + "Geografia": 27959, + "Ġinvolvement": 27960, + "лниÑĤе": 27961, + "Updated": 27962, + "ĠFat": 27963, + "ulada": 27964, + "Ġreserves": 27965, + "ĠÑģмÑĬÑĢÑĤÑĤа": 27966, + "Ġacompany": 27967, + "Ġfrightened": 27968, + ".\"\"\"": 27969, + "ĠNicol": 27970, + "Ġruling": 27971, + "ä¸ŃåĽ½äºº": 27972, + "æĦŁåĬ¨": 27973, + "è¿Ļä¸ĢçĤ¹": 27974, + "Escola": 27975, + "ĠMock": 27976, + "ïta": 27977, + "ĠпÑĬÑĢви": 27978, + "Ġsanct": 27979, + "Ġappealing": 27980, + "Management": 27981, + "LR": 27982, + "Ġlively": 27983, + "Ñģпе": 27984, + "Ġrounded": 27985, + "ĠNASA": 27986, + "Ġcombo": 27987, + "ĠRES": 27988, + "Bot": 27989, + "Previous": 27990, + "ĠOC": 27991, + "级çļĦ": 27992, + "è´¢åĬ¡": 27993, + "Ġdealer": 27994, + "åĮħåIJ«": 27995, + "Ġcollar": 27996, + "Ci": 27997, + "Temp": 27998, + "Ġsins": 27999, + "åľ¨æĪij": 28000, + "Mary": 28001, + "Must": 28002, + "Ġtunnel": 28003, + "kk": 28004, + "Ġcrushing": 28005, + "Choose": 28006, + "ĠNV": 28007, + "Ġproving": 28008, + "åIJĥçļĦ": 28009, + "ĠHalloween": 28010, + "ĠвÑĬзмо": 28011, + "Ġphotographer": 28012, + "hyper": 28013, + "cknowledg": 28014, + "Ġdilig": 28015, + "Feed": 28016, + "Ġsummit": 28017, + "çĮľ": 28018, + "Ġhect": 28019, + "åħ³èĬĤ": 28020, + "ĠThompson": 28021, + "ĠPublished": 28022, + "órm": 28023, + "Wow": 28024, + "Ġcores": 28025, + "æĪijä¹Ł": 28026, + "Ġslipped": 28027, + "Ġaligned": 28028, + "æľªæĿ¥çļĦ": 28029, + "Ġinconven": 28030, + "adoc": 28031, + "Ġlightning": 28032, + "çļĦæķĪæŀľ": 28033, + "ĠEquation": 28034, + "Af": 28035, + "Ġdresses": 28036, + "ĠLliga": 28037, + "Groups": 28038, + "community": 28039, + "Ġgovernador": 28040, + "Ġstrive": 28041, + "Ġbotón": 28042, + "isecond": 28043, + "ustrÃłlia": 28044, + "ĠCompet": 28045, + "ÐĶо": 28046, + "ĠÐŁÐ¾Ð»": 28047, + "Ġtoggle": 28048, + "ĠCorollary": 28049, + "贯彻": 28050, + "åĬ£": 28051, + "ústria": 28052, + "Resolver": 28053, + "ÑĤай": 28054, + "ä¸Ģ个æľĪ": 28055, + "Ġtuned": 28056, + "Amaz": 28057, + "Ġtet": 28058, + "æĹ¥çļĦ": 28059, + "}[!": 28060, + "ĠCarib": 28061, + "Ġhierarchy": 28062, + "aternal": 28063, + "Ġrepositor": 28064, + "ловди": 28065, + "èIJ¥éĢł": 28066, + "uded": 28067, + "æ³³": 28068, + "ĠÃģ": 28069, + "cosystem": 28070, + "èĬĤå¥ı": 28071, + "Ġsoccer": 28072, + "ĠMillor": 28073, + "mov": 28074, + "Expl": 28075, + "足çIJĥ": 28076, + "绵": 28077, + "rah": 28078, + "ä¸Ńæľī": 28079, + "linked": 28080, + "ä¼ĺåħĪ": 28081, + "AH": 28082, + "anco": 28083, + "Äĩ": 28084, + "Ġзав": 28085, + "Ġ_{\\": 28086, + "Ġmeth": 28087, + "åİĮ": 28088, + "ç±»çļĦ": 28089, + "beit": 28090, + "leave": 28091, + "éĩĩè´Ń": 28092, + "éĢĤçĶ¨": 28093, + "iste": 28094, + "ä¸įæķ¢": 28095, + "oline": 28096, + "èĩŃ": 28097, + "Ġstating": 28098, + "Ġaplicación": 28099, + "Ġcoberta": 28100, + "previous": 28101, + "Ġstrongest": 28102, + "ĠestadÃŃstiques": 28103, + "Ġbehaviors": 28104, + "Ġcapella": 28105, + "Ġlocalhost": 28106, + "ĠUpper": 28107, + "æĪ¿éĹ´": 28108, + "!).": 28109, + "opedia": 28110, + "让åŃ©åŃIJ": 28111, + "ĠDecl": 28112, + "Ġpu": 28113, + "бен": 28114, + "обÑĢа": 28115, + "éĨĭ": 28116, + "ĠKo": 28117, + "ĠÐĻоÑĢ": 28118, + "ĠBetween": 28119, + "lica": 28120, + "ĠInvalid": 28121, + "Ġofferings": 28122, + "Ġbru": 28123, + "Ġcategor": 28124, + "ĠÑĢоден": 28125, + "Ġdiscretion": 28126, + "Ġintroduces": 28127, + ">ĠĠĠĠ<": 28128, + "ä¸įè§ģ": 28129, + ">`": 28130, + "umé": 28131, + "对å¾ħ": 28132, + "Ctrl": 28133, + "utic": 28134, + "ä¸įä»ħä»ħ": 28135, + "Prob": 28136, + "viewport": 28137, + "Ġtiempo": 28138, + "Ġentrepreneur": 28139, + "Lou": 28140, + "Ġgamma": 28141, + "iliation": 28142, + "Live": 28143, + "pent": 28144, + "Ġpresid": 28145, + "Ġsustained": 28146, + "Kernel": 28147, + "ĠInnoDB": 28148, + "Created": 28149, + "juana": 28150, + "ArgumentException": 28151, + "çļĦè¡Į为": 28152, + "ĠклаÑģи": 28153, + "Ġnerve": 28154, + "ÑģÑĤеза": 28155, + "ĠDance": 28156, + "Ġ_.": 28157, + "Ġdeciding": 28158, + "Ġwhit": 28159, + "erir": 28160, + "åĿij": 28161, + "Michael": 28162, + "fragment": 28163, + "é¢Ħæµĭ": 28164, + "Ġhasta": 28165, + "scriptions": 28166, + "ĠpirÃłmide": 28167, + "balance": 28168, + "Ġporn": 28169, + "ĠĠĠ=": 28170, + "ĠPractice": 28171, + "multline": 28172, + "Ġadjustment": 28173, + "iology": 28174, + "Split": 28175, + "Ġquil": 28176, + "Prec": 28177, + "ĠдÑĬÑĢ": 28178, + "å¥ij": 28179, + "ĠPoly": 28180, + "ĠCommons": 28181, + "Interest": 28182, + "ĠIBM": 28183, + "Collect": 28184, + "ÑĤиÑģÑĤи": 28185, + "书æ³ķ": 28186, + "Allow": 28187, + "ĠMallorca": 28188, + "ĠKi": 28189, + "vable": 28190, + "ĠСпоÑĢед": 28191, + "æĶ¶åĪ°": 28192, + "ĠRobinson": 28193, + "inas": 28194, + "CLASS": 28195, + "Ġenjoys": 28196, + "交èѦ": 28197, + "Ġtranqu": 28198, + "Prom": 28199, + "personal": 28200, + "efe": 28201, + "Ġdiscounts": 28202, + "tom": 28203, + "ĠLagrangian": 28204, + "Ġgrim": 28205, + "ellij": 28206, + "çħİ": 28207, + "ÑĤелно": 28208, + "Ġliber": 28209, + "Ġreluct": 28210, + "Ġsurge": 28211, + "ĠOptim": 28212, + "ä¸ļ主": 28213, + "ructures": 28214, + "ĠÑĤÑĢа": 28215, + "Ġcompeting": 28216, + "ĠBrew": 28217, + "Ġathletes": 28218, + "çľĭåĪ°äºĨ": 28219, + "Ġprototype": 28220, + "ĠDiet": 28221, + "ĠдÑĢе": 28222, + "tm": 28223, + "ĠBour": 28224, + "understand": 28225, + "æįŁå®³": 28226, + "abl": 28227, + "çĥŃæĥħ": 28228, + "Ġinitialized": 28229, + "ĠAgricult": 28230, + "Ġforehead": 28231, + "Ġsortir": 28232, + "smallmatrix": 28233, + "ÃŃcies": 28234, + "storm": 28235, + "Ġcrust": 28236, + "Future": 28237, + "ĠChampionship": 28238, + "Ġpoured": 28239, + "Being": 28240, + "Ġformally": 28241, + "Tot": 28242, + "Ġespanyols": 28243, + "ĠEuro": 28244, + "çĽĪåĪ©": 28245, + "Validator": 28246, + "LET": 28247, + "Ġgast": 28248, + "ivalent": 28249, + "pendicular": 28250, + "Ġshrink": 28251, + "Ñģкоп": 28252, + "Ġgesture": 28253, + "åľ°çIJĥ": 28254, + "ĠизпÑĢа": 28255, + "Població": 28256, + "å¹³å®ī": 28257, + "Ġsums": 28258, + "Ġtastes": 28259, + "ĠвÑĢÑĬз": 28260, + "ĠMiquel": 28261, + "ĠClasses": 28262, + "Ġrectangle": 28263, + "Ġbreed": 28264, + "ĠOperation": 28265, + "ĠNeither": 28266, + "Ġcolspan": 28267, + "anything": 28268, + "Ġnegre": 28269, + "èµ·åĪ°": 28270, + "Ġmusicians": 28271, + "Ġunir": 28272, + "chell": 28273, + "Ġpants": 28274, + "Ġmysqli": 28275, + "Ġvanilla": 28276, + "IONS": 28277, + "ĠSimilar": 28278, + "Series": 28279, + "Ġmonot": 28280, + "Ġaccidentally": 28281, + "åĪĨæ³Į": 28282, + "Ġformulas": 28283, + "lle": 28284, + "ĠоÑĢÑĬ": 28285, + "Vs": 28286, + "googleapis": 28287, + "伪": 28288, + "室åĨħ": 28289, + "Ġ'#": 28290, + "举åĮĹ": 28291, + "secution": 28292, + "ç§ijçłĶ": 28293, + "ĠобÑĢаз": 28294, + "ĠMunicip": 28295, + "é¹ı": 28296, + "production": 28297, + "ĠFan": 28298, + "нген": 28299, + "ĠPool": 28300, + "ilia": 28301, + "Ġhappily": 28302, + "èѦæĸ¹": 28303, + "Ġestre": 28304, + "Ġparc": 28305, + "Ġsteadily": 28306, + "Ġpetites": 28307, + "Mass": 28308, + "Ġparish": 28309, + "ĠÑģлÑĥж": 28310, + "winning": 28311, + "вал": 28312, + "ÑĩеÑģкиÑı": 28313, + "Ġexhibits": 28314, + "Ġcompromise": 28315, + "Ġcatching": 28316, + "unless": 28317, + "Ġstrangers": 28318, + "Ġanalogous": 28319, + "Ġgad": 28320, + "é«ĺæķĪ": 28321, + "ahn": 28322, + "ĠEnable": 28323, + "eclipse": 28324, + "Ġnombres": 28325, + "ĠFut": 28326, + "Ġirreducible": 28327, + "Ġwhisper": 28328, + "Ġmundial": 28329, + "Ġhass": 28330, + "çĶ»éĿ¢": 28331, + "çļĦèĥ½åĬĽ": 28332, + "efi": 28333, + "npm": 28334, + "ĠомÑĬ": 28335, + "Ġsocials": 28336, + "Ġawake": 28337, + "ĠMouse": 28338, + "ĠEmily": 28339, + "uncher": 28340, + "ĠChi": 28341, + "Ġsupern": 28342, + "Ġfavorites": 28343, + "September": 28344, + "Ġsecció": 28345, + "atedral": 28346, + "phony": 28347, + "нÑģка": 28348, + "aphor": 28349, + "ÃĢfrica": 28350, + "Ġикономи": 28351, + "Ġsweep": 28352, + "Ġtrunk": 28353, + "åŀ«": 28354, + "}{*}{": 28355, + "sud": 28356, + "Circ": 28357, + "åºĶæĢ¥": 28358, + "ĠSetting": 28359, + "ĠAttorney": 28360, + "ieg": 28361, + "Ġanalytics": 28362, + "ÑĢана": 28363, + "Ġpillow": 28364, + "мон": 28365, + "æĤĦ": 28366, + "ãģ®": 28367, + "峡": 28368, + "ÑĢÑĬб": 28369, + "ĠWedding": 28370, + "boys": 28371, + "ĠKorean": 28372, + "Ġtires": 28373, + "Ġcriterion": 28374, + "defn": 28375, + "uplicate": 28376, + "åĵĪåĵĪ": 28377, + "ractor": 28378, + "slide": 28379, + "æ²³åĮĹ": 28380, + "Ġfuncions": 28381, + "亿亿亿亿": 28382, + "ccc": 28383, + "Ġspy": 28384, + "acte": 28385, + "çĶ·æĢ§": 28386, + "ĠSTART": 28387, + "means": 28388, + "Ġcabinets": 28389, + "Ġestas": 28390, + "Cart": 28391, + "Ġsegmentation": 28392, + "(\".": 28393, + "Ġagreements": 28394, + "Ġ_,": 28395, + "portion": 28396, + "Ġbrace": 28397, + "å¿ĥèĦı": 28398, + "ĠPaïsos": 28399, + "Ġperdre": 28400, + "Secret": 28401, + "Ġafterward": 28402, + "Ġtourist": 28403, + "enci": 28404, + "cury": 28405, + "Ġlest": 28406, + "century": 28407, + "æĥ§": 28408, + "ÑĦан": 28409, + "Ġaparèixer": 28410, + "truth": 28411, + "leveland": 28412, + "SESSION": 28413, + "ĠINSERT": 28414, + "rene": 28415, + "ĠKon": 28416, + "Ġespect": 28417, + "ĠKennedy": 28418, + "anas": 28419, + "\\}.": 28420, + "Ġdonation": 28421, + "Ġponer": 28422, + "}},\\": 28423, + "Ġrespected": 28424, + "æ··åIJĪ": 28425, + "Ġxarxa": 28426, + "{.": 28427, + "lington": 28428, + "è¾ĵåĩº": 28429, + "NL": 28430, + "Ġfurnish": 28431, + "Ġdumb": 28432, + "Wed": 28433, + "sight": 28434, + "Ġtribes": 28435, + "ANGE": 28436, + "ĠFalls": 28437, + "Ġdecorated": 28438, + "ĠRemote": 28439, + "Team": 28440, + "Ġvort": 28441, + ":]": 28442, + "ortal": 28443, + "Ġuncomfortable": 28444, + "Ġadvances": 28445, + "Pa": 28446, + "inda": 28447, + "åħ½": 28448, + "ardless": 28449, + "Ġfantasy": 28450, + "ĠSummary": 28451, + "Ġflavors": 28452, + "PolÃŃtics": 28453, + "ulp": 28454, + "èĥģ": 28455, + "ĠRud": 28456, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 28457, + "Ġtolerance": 28458, + "èĤºçĤİ": 28459, + "Ġinductor": 28460, + "Ġremed": 28461, + "Ġministre": 28462, + "Ġlateral": 28463, + "òmetres": 28464, + "umen": 28465, + "Ġremot": 28466, + "Due": 28467, + "ĠGulf": 28468, + "Ġdivisions": 28469, + "Ġtreballs": 28470, + "åīįæľŁ": 28471, + "boldmath": 28472, + "Ġmensaje": 28473, + "Ġlion": 28474, + "Ġcountless": 28475, + "Ġsuspension": 28476, + "ĠимпеÑĢаÑĤоÑĢ": 28477, + "Ġfiltered": 28478, + "rans": 28479, + "ä½łè¦ģ": 28480, + "Ġpartits": 28481, + "Ġmonarch": 28482, + "Ġhints": 28483, + "Kn": 28484, + "Ġartwork": 28485, + "ĠMAN": 28486, + "èIJ½åľ°": 28487, + "aaaa": 28488, + "Ġheroes": 28489, + "nail": 28490, + "itely": 28491, + "ÑĪки": 28492, + "ICS": 28493, + "pread": 28494, + "ENTS": 28495, + "æŁIJäºĽ": 28496, + "innerHTML": 28497, + "Ġpoliticians": 28498, + "ĠCommunications": 28499, + "AIN": 28500, + "therefore": 28501, + "ĠÑĦилм": 28502, + "Ġener": 28503, + "æĪIJçļĦ": 28504, + "ĠDH": 28505, + "Ġtxt": 28506, + "Ġtherein": 28507, + "ä»Ķç»Ĩ": 28508, + "Ġpicks": 28509, + "Ġspecs": 28510, + "Ġregisters": 28511, + "][]{": 28512, + "âĹ": 28513, + "ĠDades": 28514, + "Ġpublisher": 28515, + "cra": 28516, + "ĠÐļонÑģÑĤан": 28517, + "placed": 28518, + "é¤IJ饮": 28519, + "Ġsib": 28520, + "products": 28521, + "Ġcontractor": 28522, + "lein": 28523, + "éļľç¢į": 28524, + "ĠCars": 28525, + "éĿ¢è¯ķ": 28526, + "Ġscared": 28527, + "Ġbrow": 28528, + "Ġcandy": 28529, + "ĠHair": 28530, + "thead": 28531, + "ambers": 28532, + "ighters": 28533, + "astically": 28534, + "GHz": 28535, + "dashed": 28536, + "}{{\\": 28537, + "Ġannually": 28538, + "Ġdisorders": 28539, + "Ġconfidential": 28540, + "Mapper": 28541, + "includes": 28542, + "'/": 28543, + "continue": 28544, + "Ġmilitars": 28545, + "Ġwhites": 28546, + "åĿĬ": 28547, + "Ġsupporters": 28548, + "ë": 28549, + "Der": 28550, + "future": 28551, + "ĠUtah": 28552, + "éĤª": 28553, + "Ġgrandfather": 28554, + "éĻķ": 28555, + "Ġhelic": 28556, + "Ġ----------------------------------------------------------------": 28557, + "Ġhunger": 28558, + "大大": 28559, + "Ġdiscour": 28560, + "ĠÑģÑĢа": 28561, + "bee": 28562, + "onde": 28563, + "NV": 28564, + "usions": 28565, + "ландиÑı": 28566, + "ulsion": 28567, + "Ġdelegate": 28568, + "Ġexpressing": 28569, + "training": 28570, + "åĶ®ä»·": 28571, + "è¿Ļä¹Ł": 28572, + "åºĻ": 28573, + "Ġблаго": 28574, + "Ġheels": 28575, + "Ġfundar": 28576, + "åı¯è°ĵ": 28577, + "Ġubic": 28578, + "lli": 28579, + "Ġstrang": 28580, + "Ġcontractors": 28581, + "大å¸Ī": 28582, + "ĠGNU": 28583, + "Ġfuse": 28584, + "лийÑģки": 28585, + "ĠImperial": 28586, + "commerce": 28587, + "ÑĢоÑĤо": 28588, + "answer": 28589, + "éĺŁåijĺ": 28590, + "åIJijä¸Ĭ": 28591, + "ĠdB": 28592, + "å¤ĸçļĦ": 28593, + "Border": 28594, + "åı¤ä»£": 28595, + "溶": 28596, + "Ġcease": 28597, + "Ġclauses": 28598, + "Ġbalcon": 28599, + "ĠGraphics": 28600, + "джа": 28601, + "smallskip": 28602, + "зен": 28603, + "çĶ·åŃ©": 28604, + "ĠallClasses": 28605, + "Ġdisposal": 28606, + "Python": 28607, + "Ġresting": 28608, + "Ġgrandmother": 28609, + "tone": 28610, + "toBe": 28611, + "Ġevolucionat": 28612, + "Ġpassa": 28613, + "RPC": 28614, + "èIJĮ": 28615, + "ĠизгÑĢа": 28616, + "Ġenerget": 28617, + "æĺİ天": 28618, + "ĠPortland": 28619, + "ounters": 28620, + "æĸľ": 28621, + "Ġpriests": 28622, + "便åĪ©": 28623, + "Ġjunk": 28624, + "ĠIllegal": 28625, + "want": 28626, + "inge": 28627, + "Ġvoyage": 28628, + "éĿĴå²Ľ": 28629, + "ĠOthers": 28630, + "Ġexpans": 28631, + "Ġpersonalized": 28632, + "Social": 28633, + "ĉvoid": 28634, + "å®ŀä½ĵ": 28635, + "Ġtraslladar": 28636, + "ĉString": 28637, + "Ġproofs": 28638, + "ĠallClassesLink": 28639, + "ivistic": 28640, + "Ġмили": 28641, + "graphics": 28642, + "ĠTip": 28643, + "Ġnau": 28644, + "udos": 28645, + "mith": 28646, + "åĴ³": 28647, + "ĠEntry": 28648, + "мена": 28649, + "Ġден": 28650, + "ĠHab": 28651, + "ĠÑģевеÑĢо": 28652, + "åIJĮæĦı": 28653, + "Ġcread": 28654, + "Ġobligations": 28655, + "Ġproducers": 28656, + "Ġsuma": 28657, + "thrift": 28658, + "ÅĤ": 28659, + "欣èµı": 28660, + "Ġstrengths": 28661, + "娱ä¹IJåľĪ": 28662, + "ĠLlista": 28663, + "ĠбоÑĢ": 28664, + "Ġpeces": 28665, + "Ġconsiderat": 28666, + "ĠConsequently": 28667, + "Ġполе": 28668, + "Ġorganize": 28669, + "ĠдÑĢ": 28670, + "ĠпÑĢоÑĦе": 28671, + "Ġashamed": 28672, + "логи": 28673, + "Ġoutlined": 28674, + "Ġarreglo": 28675, + "ĠBureau": 28676, + "Ġowns": 28677, + "Ġchim": 28678, + "patient": 28679, + "ĠÑĩеÑĤиÑĢи": 28680, + "Speed": 28681, + "Ġevolved": 28682, + "Ġacquainted": 28683, + "Ġstrikes": 28684, + "Ġiwlwifi": 28685, + "Require": 28686, + "æĢĿè·¯": 28687, + "Ġphilosoph": 28688, + "çļĦè¦ģæ±Ĥ": 28689, + "Ġmoreover": 28690, + "Ġmodular": 28691, + "Authentication": 28692, + "ä¿®å¤į": 28693, + "taking": 28694, + "dor": 28695, + "ĠWright": 28696, + "IMP": 28697, + "åı¯çĪ±": 28698, + "ayer": 28699, + "å¯ĵ": 28700, + "fair": 28701, + "slave": 28702, + "pod": 28703, + "åIJįåįķ": 28704, + "ĠTheory": 28705, + "Ġhighway": 28706, + "._,": 28707, + "ĠMetal": 28708, + "Ġknocked": 28709, + "Know": 28710, + "Ġcontributing": 28711, + "rowned": 28712, + "Ġcambra": 28713, + "Ġsolución": 28714, + "Ten": 28715, + "ientes": 28716, + "ronics": 28717, + "thumb": 28718, + "Ġcanviar": 28719, + "ĠCalendar": 28720, + "ĠLud": 28721, + "Ġrud": 28722, + "Ġ(.": 28723, + "Ġdelays": 28724, + "positive": 28725, + "Ġdisposaven": 28726, + "firm": 28727, + "ĠBS": 28728, + "ĠÐĴе": 28729, + "Ġmortal": 28730, + "ловдив": 28731, + "ĠAbu": 28732, + "buff": 28733, + "cid": 28734, + "ako": 28735, + "ĠJerry": 28736, + "Ġwrapper": 28737, + "èŀº": 28738, + "å¡ĺ": 28739, + "åĩºçİ°åľ¨": 28740, + "Ġanonymous": 28741, + "Ġdeserves": 28742, + "Ġdato": 28743, + "Ġbicy": 28744, + "ĠMut": 28745, + "osi": 28746, + "ÉĻ": 28747, + "Ġvalve": 28748, + "Ġchill": 28749, + "Ġplanets": 28750, + "社ä¼ļ主ä¹ī": 28751, + "éĩĩçĶ¨äºĨ": 28752, + "åĮºçļĦ": 28753, + "itives": 28754, + "ноÑģ": 28755, + "Ġadverb": 28756, + "Ġkinetic": 28757, + "Ġbrew": 28758, + "')-": 28759, + "ĠTemplate": 28760, + "missible": 28761, + "Ġdic": 28762, + "ÑĨииÑĤе": 28763, + "ĠBerlÃŃn": 28764, + "ĠCannot": 28765, + "METHOD": 28766, + "bright": 28767, + "Arc": 28768, + "пози": 28769, + "ashi": 28770, + "omp": 28771, + "éĢıéľ²": 28772, + "review": 28773, + "MAC": 28774, + "γ": 28775, + "åį¢": 28776, + "aixements": 28777, + "bigcup": 28778, + "ĠÑģÑĤепен": 28779, + "ollar": 28780, + "ĠExtra": 28781, + "Encoding": 28782, + "currency": 28783, + "omi": 28784, + "Ġobstacles": 28785, + "Ġneedle": 28786, + "ĠÐĽÑİ": 28787, + "ĠUniverse": 28788, + "线路": 28789, + "Ġbou": 28790, + "Ġcardinal": 28791, + "ÐIJмеÑĢиканÑģки": 28792, + "Ġwip": 28793, + "bler": 28794, + "Ġcountenance": 28795, + "setting": 28796, + "Ġcondicions": 28797, + "ĠDenver": 28798, + "Ġdocumented": 28799, + "ĠMississippi": 28800, + "ĠErr": 28801, + "ĠHaz": 28802, + "ä»ĸæĺ¯": 28803, + "Ġwelcomed": 28804, + "Ġocupades": 28805, + "Compare": 28806, + "ä¸Ģæĸ¹éĿ¢": 28807, + "Ġhauria": 28808, + "Ġfilos": 28809, + "asury": 28810, + "ViewById": 28811, + "ancia": 28812, + "Ġepic": 28813, + "ä¿¡ä»»": 28814, + "MON": 28815, + "Ġalmac": 28816, + "å·¾": 28817, + "åħ»çĶŁ": 28818, + "stmt": 28819, + "ĠÐĵÑĢа": 28820, + "French": 28821, + "Ġhydrogen": 28822, + "æIJħ": 28823, + "unge": 28824, + "EF": 28825, + "Ġbacking": 28826, + "Ġpunch": 28827, + "Fac": 28828, + "èĪĴæľį": 28829, + "线ä¸ĭ": 28830, + "Ġmines": 28831, + "åıĪæĺ¯": 28832, + "Ġlacking": 28833, + "ablo": 28834, + "blocks": 28835, + "Alloc": 28836, + "åĤ»": 28837, + "igg": 28838, + "employment": 28839, + "Ġinfinity": 28840, + "ÑĪава": 28841, + "ĠMarshall": 28842, + "quite": 28843, + "çļĦå¤ĸ": 28844, + "itzerland": 28845, + "Ġflav": 28846, + "ĠLuck": 28847, + "ĠпÑĢовежда": 28848, + "Ġconqu": 28849, + "Ġtechnically": 28850, + "Ġecol": 28851, + "è¿ĺ没": 28852, + "intellij": 28853, + "Ġblur": 28854, + "Ġillumin": 28855, + "Ġaspir": 28856, + "æĹ¥åĨħ": 28857, + "ĠкаÑĢи": 28858, + "ä¸įéľĢè¦ģ": 28859, + "Ġconvince": 28860, + "Ġcavity": 28861, + "åŃIJéĩĮ": 28862, + "ĠдеÑĨа": 28863, + "Ġfailures": 28864, + "Ġabsorb": 28865, + "oracle": 28866, + "æĹ¥åīį": 28867, + "ĠVo": 28868, + "ĠStewart": 28869, + "\\}_{": 28870, + "ĠGeneralitat": 28871, + "Tell": 28872, + "Ġней": 28873, + "ĠQuestions": 28874, + "æ´Ĵ": 28875, + "Ġperceive": 28876, + "ĠBA": 28877, + "ĠIDE": 28878, + "ĠSolar": 28879, + "æ¶Ľ": 28880, + "ĠCollins": 28881, + "ĠAj": 28882, + "Ġkissed": 28883, + "Ġmobility": 28884, + "bolt": 28885, + "ÑģÑĥл": 28886, + "Ġwarmth": 28887, + "logic": 28888, + "few": 28889, + "Ġelaborate": 28890, + "alta": 28891, + "Ġвлиза": 28892, + "Buff": 28893, + "ĠBio": 28894, + "Ġfade": 28895, + "Ġanch": 28896, + "Monitor": 28897, + "Ġwarnings": 28898, + "amento": 28899, + "导æ¼Ķ": 28900, + "Ġcharts": 28901, + "ĠбÑĬлга": 28902, + "两个人": 28903, + "ĠÑĨаÑĢ": 28904, + "ithmetic": 28905, + "ĠRoute": 28906, + "Ġsunny": 28907, + "ĠSanti": 28908, + "ĠEquipment": 28909, + "Ġpipes": 28910, + "ĠÑĪе": 28911, + "³°": 28912, + "ĠLeave": 28913, + "Ġapache": 28914, + "zier": 28915, + "Ġadministrator": 28916, + "Ġ{},": 28917, + "çī©åĵģ": 28918, + "Ġnested": 28919, + "ancholy": 28920, + "å¹´åīį": 28921, + "ä»İå°ı": 28922, + "ĠMcK": 28923, + "Ġchemistry": 28924, + "mine": 28925, + "éĹ·": 28926, + "Ġimpulse": 28927, + "enar": 28928, + "Ġborne": 28929, + "ĠÑģÑĬÑģÑĤа": 28930, + "ĠпÑĢоÑĨе": 28931, + "ĠPK": 28932, + "å½¼æѤ": 28933, + "Ġfutur": 28934, + "ĠBaker": 28935, + "Ġmatrimoni": 28936, + "ĠQueens": 28937, + "November": 28938, + "ĠLamb": 28939, + "Ġundoubtedly": 28940, + "ĠTam": 28941, + "Ġabol": 28942, + "ĠMiguel": 28943, + "Activitats": 28944, + "Ġaviat": 28945, + "éĢĬ": 28946, + "===": 28947, + "Ġpermits": 28948, + "Russ": 28949, + "Ġdavall": 28950, + "dual": 28951, + "Ġcontinuity": 28952, + "Ġfacial": 28953, + "鹿": 28954, + "ÑĤÑģки": 28955, + "ĠTanmateix": 28956, + "ĠÑģгÑĢа": 28957, + "Ġaccessibles": 28958, + "éŨåı£": 28959, + "æľīæķĪçļĦ": 28960, + "大约": 28961, + "Besides": 28962, + "cov": 28963, + "ÑĤина": 28964, + "ĠGirona": 28965, + "Ġpursued": 28966, + "noise": 28967, + "侦": 28968, + "æĪijè¦ģ": 28969, + "Ġinvert": 28970, + "Ġsadly": 28971, + "amiliar": 28972, + "ĠSoph": 28973, + "Ġleverage": 28974, + "Ġregistry": 28975, + "Ġpoorly": 28976, + "dess": 28977, + "Ġfiltr": 28978, + "éĨĩ": 28979, + "ĠOpera": 28980, + "isode": 28981, + "Ïī": 28982, + "Cancel": 28983, + "Ñģква": 28984, + "ĠLuther": 28985, + "univers": 28986, + "Ġmejor": 28987, + "Ġdepths": 28988, + "Ġveteran": 28989, + "Ġinet": 28990, + "decode": 28991, + "ĠPhD": 28992, + "Ġgeneralization": 28993, + "åıĺéĢŁ": 28994, + "æĬĵä½ı": 28995, + "æĢ»ç»ıçIJĨ": 28996, + "habit": 28997, + "çĹħä¾ĭ": 28998, + "seemed": 28999, + "ĠLar": 29000, + "ĠÃĹ": 29001, + "TX": 29002, + "ä¸īåįģ": 29003, + "æŀĦ建": 29004, + "Ġcorrent": 29005, + "ĠOften": 29006, + "frames": 29007, + "жни": 29008, + "Ġpsychological": 29009, + "åIJĮæ¯Ķå¢ŀéķ¿": 29010, + "ĠTestament": 29011, + "Ġprud": 29012, + "Ġautomòbil": 29013, + "idean": 29014, + "ĠHunter": 29015, + "Ġgarbage": 29016, + "Ġpupils": 29017, + "Ġsola": 29018, + "éĴĻ": 29019, + "ĠPremier": 29020, + "lift": 29021, + "getId": 29022, + "Ġreconeg": 29023, + "Ġprescribed": 29024, + "Ġfairy": 29025, + "ische": 29026, + "Ġreferenced": 29027, + "Alemanya": 29028, + "Ġblast": 29029, + "Ñħоди": 29030, + "Ġtyr": 29031, + "Ġassignments": 29032, + "Ġgrammatically": 29033, + "onomia": 29034, + "Ġpropietat": 29035, + "ennis": 29036, + "Ġbankrupt": 29037, + "ĠSnap": 29038, + "smooth": 29039, + "ORS": 29040, + "Ġже": 29041, + "Ġretriev": 29042, + "åħ±æľī": 29043, + "Ġloyalty": 29044, + "åħ¨ä½ĵ": 29045, + "Ġelderly": 29046, + "uki": 29047, + "ĠCold": 29048, + "Ġelevated": 29049, + "Ġжен": 29050, + "Ġdownloads": 29051, + "Ping": 29052, + "raising": 29053, + "Ġxx": 29054, + "ĠпÑĬÑĤи": 29055, + "Ġtire": 29056, + "Optional": 29057, + "Ġerg": 29058, + "icus": 29059, + "wife": 29060, + "wat": 29061, + "Ġsubspace": 29062, + "ĠUnides": 29063, + "inta": 29064, + "ÑĩеÑģкиÑĤе": 29065, + "ĠMcG": 29066, + "Ġenjoyment": 29067, + "Ġgut": 29068, + "å¼ķé¢Ĩ": 29069, + "Ġwallpaper": 29070, + "Ġwildlife": 29071, + "Ġcèl": 29072, + "&&\\": 29073, + "Ġpositively": 29074, + "Ġdispatch": 29075, + "ĠЩ": 29076, + "Ġoath": 29077, + "amentals": 29078, + "eterm": 29079, + "Ġinsist": 29080, + "ĠRepublicans": 29081, + "Ġlatent": 29082, + "tcp": 29083, + "START": 29084, + "ampa": 29085, + "gradle": 29086, + "Consumer": 29087, + "wine": 29088, + "January": 29089, + "изÑĤо": 29090, + "éķľå¤´": 29091, + "Ġgam": 29092, + ".\")": 29093, + "зани": 29094, + "Ġcondemn": 29095, + "Ġspherical": 29096, + "aturally": 29097, + "Ġmethodology": 29098, + "ĠHat": 29099, + "飵": 29100, + "æĪIJåĬŁçļĦ": 29101, + "THER": 29102, + "Ġassociations": 29103, + "ĠKath": 29104, + "_{[": 29105, + "Ãłnd": 29106, + "Ġexcav": 29107, + "rates": 29108, + "dB": 29109, + "Ġpersist": 29110, + "åĪĨåŃIJ": 29111, + "ondo": 29112, + "ĠGC": 29113, + "ä¸Ģ大": 29114, + "ĠprÃŃncep": 29115, + "arius": 29116, + "ĠdiÃł": 29117, + "illas": 29118, + "ationally": 29119, + "åĢ¡": 29120, + "Ġsegones": 29121, + "gro": 29122, + "proj": 29123, + "Ġsunset": 29124, + "handed": 29125, + "ĠCampbell": 29126, + "hz": 29127, + "ĠWIDTH": 29128, + "ä½ıå®ħ": 29129, + "Ġllindar": 29130, + "\\}}": 29131, + "Ġlocalized": 29132, + "Contains": 29133, + "Ġfireplace": 29134, + "headed": 29135, + "ĠAdobe": 29136, + "micro": 29137, + "questions": 29138, + "ésumé": 29139, + "ä¸Ģ段": 29140, + "ÅŁ": 29141, + "ĠSwift": 29142, + "appings": 29143, + "ĠNintendo": 29144, + "骤": 29145, + "çĹĺ": 29146, + "NOTE": 29147, + "Ġsovereign": 29148, + "updated": 29149, + "åŁºåĽł": 29150, + "ĠVene": 29151, + "Ġrunner": 29152, + "Ġconcep": 29153, + "ĠYOUR": 29154, + "Ġcantant": 29155, + "Ġladder": 29156, + "uni": 29157, + "SERVER": 29158, + "Ġayuda": 29159, + "ĠCONT": 29160, + "secondary": 29161, + "HH": 29162, + "Ġqué": 29163, + "Annotation": 29164, + "çºłçº·": 29165, + "ĠФили": 29166, + "ĠSafe": 29167, + "Ġsiempre": 29168, + "ä¸ĢçĽ´åľ¨": 29169, + "notify": 29170, + "å¥ĸåĬ±": 29171, + "oard": 29172, + "Ġmism": 29173, + "LEMENT": 29174, + "ĠParlament": 29175, + "Ġcongrat": 29176, + "tube": 29177, + "Ġdeput": 29178, + "Servlet": 29179, + "anar": 29180, + "Ġvibrant": 29181, + "ĠAWS": 29182, + "çī©çIJĨ": 29183, + "Ġemphasize": 29184, + "Ġplotted": 29185, + "ĠActualment": 29186, + "ĠCBD": 29187, + "åĿĩåĮĢ": 29188, + "rac": 29189, + "rn": 29190, + "Ġslides": 29191, + "èį¯åĵģ": 29192, + "probably": 29193, + "å¿ĹæĦ¿èĢħ": 29194, + "å½¢åĬ¿": 29195, + "ĠдокаÑĤо": 29196, + "morning": 29197, + "Ġwired": 29198, + "ĠCraft": 29199, + "Ġascertain": 29200, + "ĠAlong": 29201, + "Ġlined": 29202, + "escript": 29203, + "зан": 29204, + "government": 29205, + "为ä½ķ": 29206, + "ĠNan": 29207, + "inici": 29208, + "gpu": 29209, + "滩": 29210, + "Ġprincess": 29211, + "Ġtransistors": 29212, + "说åĪ°": 29213, + "Ġnas": 29214, + "vÄĽt": 29215, + "Ty": 29216, + "Ġlobby": 29217, + "åıijæĶ¾": 29218, + "èĢģå©Ĩ": 29219, + "Ġcommerce": 29220, + "pel": 29221, + "æīĭç»Ń": 29222, + "ĠGetting": 29223, + "Ġharmonic": 29224, + "æĿĥçĽĬ": 29225, + "ticles": 29226, + "Ġattractions": 29227, + "Ġinformative": 29228, + "Ãłst": 29229, + "åĸľæ¬¢çļĦ": 29230, + "Ġresolutions": 29231, + "æŁ´": 29232, + "Recent": 29233, + "Ġarriving": 29234, + "ĠConfeder": 29235, + "Ġadvocate": 29236, + "Ġmultitude": 29237, + "Ġtrades": 29238, + "Ġsafer": 29239, + "æĺ¯å¾Ī": 29240, + "å¼ĢäºĨ": 29241, + "ungle": 29242, + "大åĬĽ": 29243, + "ré": 29244, + "ògraf": 29245, + "ĠLucy": 29246, + "æķ´åIJĪ": 29247, + "Ġelevation": 29248, + "Mix": 29249, + "æĪij们åı¯ä»¥": 29250, + "милиÑı": 29251, + "Ġtravels": 29252, + "ĠGuil": 29253, + "Ġinfra": 29254, + "ĠмеÑģе": 29255, + "Ġfinishes": 29256, + "Ġescriptor": 29257, + "æį®äºĨ解": 29258, + "ĠCrow": 29259, + "Ġdesapare": 29260, + "Ġsurvived": 29261, + "parted": 29262, + "Ġantiga": 29263, + "Ġcalculating": 29264, + "Ġcoaches": 29265, + "Ġpreposition": 29266, + "Ġprompted": 29267, + "Ġmakers": 29268, + "Ġoriented": 29269, + "ĠMIT": 29270, + "Ġtrucks": 29271, + "Ġbarrel": 29272, + "MARY": 29273, + "Ġusa": 29274, + "Ġtemes": 29275, + "Ġfen": 29276, + "æ¸ħæ´Ĺ": 29277, + "Ġdetallades": 29278, + "oba": 29279, + "强大çļĦ": 29280, + "percent": 29281, + "psy": 29282, + "SOUR": 29283, + "Sure": 29284, + "amen": 29285, + "Calcul": 29286, + "liques": 29287, + "åŃ£èĬĤ": 29288, + "Ġwines": 29289, + "Ġestats": 29290, + "Ġdivider": 29291, + "ĠRace": 29292, + "Ġbreach": 29293, + "FER": 29294, + "Ġsurroundings": 29295, + "ÑģÑĤвено": 29296, + "æľ¬æĸĩ": 29297, + "entina": 29298, + "Ġcustoms": 29299, + "Ġtradició": 29300, + "loqu": 29301, + "Ġasi": 29302, + "æĩĴ": 29303, + "often": 29304, + "Drawing": 29305, + "Ġamenities": 29306, + "Ġstoring": 29307, + "Ġspectro": 29308, + "ĠAlabama": 29309, + "Ġdeleting": 29310, + "Ġмно": 29311, + "Ġwitnessed": 29312, + "Ġtouches": 29313, + "horse": 29314, + "castle": 29315, + "itarian": 29316, + "Ġloader": 29317, + "Ġpágina": 29318, + "Ġparticipant": 29319, + "Ġvalidity": 29320, + "ĠParker": 29321, + "Habitatges": 29322, + "ä¸įåı¯èĥ½": 29323, + "Quick": 29324, + "Side": 29325, + "Ġinterven": 29326, + "Ġparas": 29327, + "ĠDepart": 29328, + "Little": 29329, + "Ġshells": 29330, + "ĠUrban": 29331, + "Ġ|=": 29332, + "ĠNvidia": 29333, + "Ġcostume": 29334, + "February": 29335, + "anglement": 29336, + "Ġmisma": 29337, + "Theme": 29338, + "ĠGeo": 29339, + "妥": 29340, + "bud": 29341, + "ArrayList": 29342, + "Ġcuenta": 29343, + "ountain": 29344, + "Ġutilitzat": 29345, + "Hook": 29346, + "ÑģедаÑĤел": 29347, + "ĠSue": 29348, + "IRST": 29349, + "western": 29350, + "Ġromana": 29351, + "ĠSor": 29352, + "Ñģледова": 29353, + "onial": 29354, + "Ġlocale": 29355, + "ĠDoor": 29356, + "Ġterren": 29357, + "emin": 29358, + "ç¼ł": 29359, + "ĠInterface": 29360, + "纱": 29361, + "GF": 29362, + "Ġregiment": 29363, + "auer": 29364, + "newline": 29365, + "Ġciutad": 29366, + "Ġfunctioning": 29367, + "Ġstruggled": 29368, + "Ġterminals": 29369, + "Actors": 29370, + "Ġaveraged": 29371, + "Ġtimber": 29372, + "ÑĢиÑģÑĤиÑı": 29373, + "ilitation": 29374, + "ÑĤоÑĢа": 29375, + "wig": 29376, + "Ġplainly": 29377, + "ĠFo": 29378, + "LM": 29379, + "addEventListener": 29380, + "ĉfunction": 29381, + "ĠпаÑĢÑĤиÑı": 29382, + "INDEX": 29383, + "имен": 29384, + "è¶ħè¶Ĭ": 29385, + "Ãłmica": 29386, + "ĠHend": 29387, + "ĠамеÑĢиканÑģки": 29388, + "Ġdestruct": 29389, + "Cod": 29390, + "ivan": 29391, + "pector": 29392, + "innamon": 29393, + "ĠURI": 29394, + "Ġtitled": 29395, + "consist": 29396, + "ĠLegal": 29397, + "Ġbattles": 29398, + "ĠTrip": 29399, + "ÑĩниÑı": 29400, + "Ġabst": 29401, + "ĠTaking": 29402, + "ackets": 29403, + "uted": 29404, + "versation": 29405, + "ĠJimmy": 29406, + "vv": 29407, + "Ġclarify": 29408, + "relations": 29409, + "WO": 29410, + "Ġблизо": 29411, + "ĠDEBUG": 29412, + "fluid": 29413, + "å°ı说": 29414, + "Ġsuicide": 29415, + "subst": 29416, + "åĨ³çŃĸ": 29417, + "Ġdestacar": 29418, + "Ġversatile": 29419, + "ĠпеÑĩели": 29420, + "uclidean": 29421, + "ĠSyria": 29422, + "Ġdescon": 29423, + "anga": 29424, + "æĮ£": 29425, + "Ġwidow": 29426, + ")_{\\": 29427, + "ĠReally": 29428, + "害æĢķ": 29429, + "################################": 29430, + "Ġowe": 29431, + "Ġregistro": 29432, + "âĢĶâĢĶâĢĶâĢĶ": 29433, + "Modal": 29434, + "Ġregex": 29435, + "两次": 29436, + "Ġsuspicious": 29437, + "Ġtweet": 29438, + "ĠLOVE": 29439, + "ç¦ģæŃ¢": 29440, + "Da": 29441, + "ĠBU": 29442, + "Ġresponsive": 29443, + "Ġfootprint": 29444, + "ĠDeal": 29445, + "仲": 29446, + "使åij½": 29447, + "ulin": 29448, + "ĠÐľÐ¾Ð½": 29449, + "gp": 29450, + "ĠJar": 29451, + "è¢ĸ": 29452, + "æĪ¿ä»·": 29453, + "Ġpione": 29454, + "Ġupward": 29455, + "Ġestimator": 29456, + "Ġphotons": 29457, + "ĠÑģÑĬÑģÑĤав": 29458, + "ĠRalph": 29459, + "Ġreflex": 29460, + "ĠизÑģлед": 29461, + "oriented": 29462, + "Ġwhence": 29463, + "ĠбаÑīа": 29464, + "ĠигÑĢае": 29465, + "Ġjustified": 29466, + "Ġharmful": 29467, + ")\",": 29468, + "izen": 29469, + "кÑĥл": 29470, + "Naixements": 29471, + "ç¥Ń": 29472, + "Ġagrees": 29473, + "BASE": 29474, + "Ġrolls": 29475, + "ĠNAVBAR": 29476, + "arÃł": 29477, + "Ġdefects": 29478, + "Ġwrest": 29479, + "OutputStream": 29480, + "Ġopponents": 29481, + "ä¹ĭè·¯": 29482, + "Pin": 29483, + "ĠбÑĥ": 29484, + "ĠпÑĢогÑĢа": 29485, + "\\[\\": 29486, + "already": 29487, + "asso": 29488, + "latest": 29489, + "Ġdisability": 29490, + "Ġves": 29491, + "LIB": 29492, + "ĠNA": 29493, + "Ġdonations": 29494, + "æķ°æį®æĺ¾ç¤º": 29495, + "death": 29496, + "å¼ķè¿Ľ": 29497, + "ĠпомоÑī": 29498, + "tro": 29499, + "transport": 29500, + "лекÑĤÑĢо": 29501, + "Signature": 29502, + "Ġaustral": 29503, + "Ġgoverned": 29504, + "мпион": 29505, + "ÃŃfica": 29506, + "Particip": 29507, + "Ġstrips": 29508, + "BEGIN": 29509, + "ĠShell": 29510, + "åĪ¤åĨ³": 29511, + "ĠPrimary": 29512, + "GROUP": 29513, + "ĠÑĤÑĢан": 29514, + "дÑĢиÑħ": 29515, + "åIJİæľŁ": 29516, + "???": 29517, + "ĠMCU": 29518, + "ATURE": 29519, + "ĠWant": 29520, + "bib": 29521, + ".'\"": 29522, + "Ġfrontera": 29523, + "Ġwasted": 29524, + "ĠChart": 29525, + "赫": 29526, + "ĠBudd": 29527, + "ĠPhoenix": 29528, + "Published": 29529, + "oux": 29530, + "dos": 29531, + "èĩªæ²»": 29532, + "Land": 29533, + "ĠOklahoma": 29534, + "Ġproces": 29535, + "ĠIndones": 29536, + "]\"": 29537, + "ĠXI": 29538, + "Sched": 29539, + "Ġcleaner": 29540, + "Ġjumping": 29541, + "Ġcorresponia": 29542, + "Ġgrades": 29543, + "ĠдÑĢÑĥг": 29544, + "ĠWa": 29545, + "滤": 29546, + "Entre": 29547, + "ä¼łæī¿": 29548, + "Ġcolleges": 29549, + "Ġprophe": 29550, + "eted": 29551, + "Ġroses": 29552, + "Ġreporter": 29553, + "Ġagriculture": 29554, + "Ġuniquely": 29555, + "ĠCategory": 29556, + "ĠBT": 29557, + "ĠHilbert": 29558, + "wx": 29559, + "Ġweaker": 29560, + "ĠGROUP": 29561, + "Ġrepresenta": 29562, + "igm": 29563, + "Ġviat": 29564, + "Ġpredecess": 29565, + "Ġgenre": 29566, + "妨": 29567, + "Ġprovoc": 29568, + "Ajuntament": 29569, + "arien": 29570, + "hundred": 29571, + "çļĦä¼ģä¸ļ": 29572, + "Ġdepict": 29573, + "Ġrhythm": 29574, + "å¥ĭæĸĹ": 29575, + "ĠPray": 29576, + "Ill": 29577, + "ĠTS": 29578, + "Ġguilt": 29579, + "éĿ¢ä¸Ĭ": 29580, + "genes": 29581, + "Ġfathers": 29582, + "åĨįåĬłä¸Ĭ": 29583, + "Ġgeodes": 29584, + "ĠDise": 29585, + "azines": 29586, + "ĠFisher": 29587, + "Ġdemocracy": 29588, + "enç": 29589, + "¶": 29590, + "æ°´çļĦ": 29591, + "åĸĤ": 29592, + "Ġincomplete": 29593, + "åľ°ä¸Ĭ": 29594, + "Ġafirm": 29595, + "ĠSweden": 29596, + "ĠCoffee": 29597, + "timer": 29598, + "systemd": 29599, + "Ġбили": 29600, + "ĠRat": 29601, + "ĠpolÃŃtics": 29602, + "Graphics": 29603, + "ÑıванеÑĤо": 29604, + "REQUEST": 29605, + "Ġboring": 29606, + "ĠRd": 29607, + "йÑģка": 29608, + "Ġgeneralment": 29609, + "Ġакаде": 29610, + "Ġcylinder": 29611, + "microsoft": 29612, + "Ġlaunching": 29613, + "ĠBrooklyn": 29614, + "ifolds": 29615, + "åİŁåĪĽ": 29616, + "西æĸ¹": 29617, + "software": 29618, + "Ġguardar": 29619, + "Ġlauncher": 29620, + "ĠVeter": 29621, + "ĠгенеÑĢал": 29622, + "ĠDS": 29623, + "ĠFALSE": 29624, + "Jac": 29625, + "odium": 29626, + "ipte": 29627, + "ïa": 29628, + "Arguments": 29629, + "Zero": 29630, + "ĠCaesar": 29631, + "arium": 29632, + "ĠÑģеÑĢи": 29633, + "ĠPharm": 29634, + "Ġcontenido": 29635, + "Ġviable": 29636, + "Ġupgrades": 29637, + "ĠOrganization": 29638, + "leman": 29639, + "Ġún": 29640, + "Ġscholarship": 29641, + "ĠHeritage": 29642, + "Ġwhisk": 29643, + "Ġcries": 29644, + "Ġacute": 29645, + "ĠCreu": 29646, + "Ġdesocup": 29647, + "Ġdomini": 29648, + "ARG": 29649, + "åıijçļĦ": 29650, + "Ġconcaten": 29651, + "Ġteaches": 29652, + "Ġtrajectories": 29653, + "resultado": 29654, + "plica": 29655, + "æ¼Ĩ": 29656, + "erge": 29657, + "è¦ģæľī": 29658, + "æIJľç´¢": 29659, + "èı©": 29660, + "Ġcondens": 29661, + "Ġproteins": 29662, + "Ġexponent": 29663, + "ancers": 29664, + "Ġesdevenir": 29665, + "веÑģÑĤен": 29666, + "çĶµè§Ĩåī§": 29667, + "Ġbackwards": 29668, + "ĠLiverpool": 29669, + "éĢĢä¼ij": 29670, + "обÑĢаз": 29671, + "Ġeditors": 29672, + "Ġsavage": 29673, + "æľºåĻ¨äºº": 29674, + "Ġguards": 29675, + "Ġselfish": 29676, + "Ġrealitat": 29677, + "Ġrelying": 29678, + "impse": 29679, + "æľĢå¤ļ": 29680, + "æĹ©å·²": 29681, + "éķ¿å¤§": 29682, + "Something": 29683, + "ĠÐľÑĥ": 29684, + "è¾ĪåŃIJ": 29685, + "è¦ģ注æĦı": 29686, + "Ġllac": 29687, + "Shell": 29688, + "Owner": 29689, + "æĬ¤çIJĨ": 29690, + "anka": 29691, + "utdown": 29692, + "continued": 29693, + "ĠGun": 29694, + "Ġtron": 29695, + "Ġgenes": 29696, + "kle": 29697, + "Ġeliminar": 29698, + "Ġús": 29699, + "Ġoutper": 29700, + "èĴĭ": 29701, + "posts": 29702, + "Ġingres": 29703, + "eses": 29704, + "ARCH": 29705, + "Ġtrusty": 29706, + "ĠEllen": 29707, + "ĠDepending": 29708, + "ĠHawaii": 29709, + "STM": 29710, + "Promise": 29711, + "Ġachievements": 29712, + "OTT": 29713, + "WARNING": 29714, + "ĠинÑĤе": 29715, + "大æķ°æį®": 29716, + "minimum": 29717, + "åħij": 29718, + "chet": 29719, + "rag": 29720, + "subequations": 29721, + "è¯ģ书": 29722, + "è¿Ļéĥ¨": 29723, + "worker": 29724, + "ĠRomans": 29725, + "ĠBenef": 29726, + "æĥħå½¢": 29727, + "xorg": 29728, + "ĠÐIJлекÑģандÑĬÑĢ": 29729, + "Ġpuzzle": 29730, + "ĠLIMIT": 29731, + "Ġwives": 29732, + "Et": 29733, + "åħ¨èº«": 29734, + "asca": 29735, + "Ġ(,": 29736, + "bolic": 29737, + "è¿Ļå°±": 29738, + "ĠIsabel": 29739, + "execution": 29740, + "Ġmorphism": 29741, + "å®´": 29742, + "Ġroman": 29743, + "Ġcarretera": 29744, + "Ready": 29745, + "Bool": 29746, + "Ġaproximadament": 29747, + "ousand": 29748, + "rupted": 29749, + "rients": 29750, + "uras": 29751, + "interès": 29752, + "Ġlogarith": 29753, + "ĠÐĴÐľ": 29754, + "æŁı": 29755, + "Ġизлиза": 29756, + "ĠGhost": 29757, + "difficult": 29758, + "Ġhospitality": 29759, + "icina": 29760, + "ĠAlliance": 29761, + "вниÑı": 29762, + "Ġlistings": 29763, + "Ġretirar": 29764, + "Ùĩ": 29765, + "ĠParticip": 29766, + "House": 29767, + "abric": 29768, + "Ġjac": 29769, + "æ°§åĮĸ": 29770, + "seeing": 29771, + "Ġbreathe": 29772, + ">=Ġ": 29773, + "HN": 29774, + "Ġspont": 29775, + "sense": 29776, + "Ġrede": 29777, + "Ġchase": 29778, + "Ġsunlight": 29779, + "ĠVila": 29780, + "è¿ĽæĶ»": 29781, + "Ġdiffers": 29782, + "ÑĦо": 29783, + "Ġconsisted": 29784, + "Dynamic": 29785, + "atility": 29786, + "è¾¾åĪ°äºĨ": 29787, + "Ġante": 29788, + "Ġsolen": 29789, + "Mel": 29790, + "Snapshot": 29791, + "Ġspins": 29792, + "gap": 29793, + "Ġcompressed": 29794, + "Ġuttered": 29795, + "ĠBowl": 29796, + "TextView": 29797, + "ifica": 29798, + "Ġcss": 29799, + "ĠMason": 29800, + "Ġsug": 29801, + "åĽ¾ä¹¦": 29802, + "Cannot": 29803, + "ĠWILL": 29804, + "åİĺ": 29805, + "Ġcomprehend": 29806, + "çģ«è½¦": 29807, + "Ġdragged": 29808, + "Ġconductor": 29809, + "ĠBUT": 29810, + "vt": 29811, + "ertat": 29812, + "ĠRetrieved": 29813, + "meter": 29814, + "åĬŁçİĩ": 29815, + "Care": 29816, + "ä½ľæĸĩ": 29817, + "äºĪ以": 29818, + "reci": 29819, + "产æĿĥ": 29820, + "Ġdestro": 29821, + "CPU": 29822, + "extensions": 29823, + "scheme": 29824, + "idors": 29825, + "ĠSwiss": 29826, + "å½ķåıĸ": 29827, + "Declaration": 29828, + "ĠJulia": 29829, + "Ġconjecture": 29830, + "Ġmentions": 29831, + "robe": 29832, + "Ġbush": 29833, + "otherapy": 29834, + "人工æĻºèĥ½": 29835, + "idades": 29836, + "жена": 29837, + "Ġcb": 29838, + "ĠFine": 29839, + "éĩįçļĦ": 29840, + "slow": 29841, + "ÑĨиали": 29842, + "Ġfeast": 29843, + "pecial": 29844, + "geant": 29845, + "Ġsimil": 29846, + "ĠÑģили": 29847, + "Ġseverely": 29848, + "ĠTechnical": 29849, + "ĠLyn": 29850, + "пиÑģание": 29851, + "Ġlinking": 29852, + "Ġimmigration": 29853, + "haus": 29854, + "è©": 29855, + "ĠpÃłrqu": 29856, + "Ġfiling": 29857, + "\"../../../../../../../": 29858, + "Ġfunctor": 29859, + "Ġdozens": 29860, + "identity": 29861, + "justice": 29862, + "Distance": 29863, + "Ġmim": 29864, + "Frid": 29865, + "ĠXII": 29866, + "å·®è·Ŀ": 29867, + "ä¾ĿéĿł": 29868, + "sta": 29869, + "Proposition": 29870, + "ĠSingh": 29871, + "Ġjudicial": 29872, + "ĠCrusher": 29873, + "._--": 29874, + "ĠTRUE": 29875, + "LT": 29876, + "Ġdevuelve": 29877, + "èĭį": 29878, + "ĠPUB": 29879, + "ĠĠĠĠĠĠĠĠĠ|": 29880, + "Ġanytime": 29881, + "according": 29882, + "Ġsharply": 29883, + "ĠBaron": 29884, + "attention": 29885, + "ĠLegisl": 29886, + "Ġdh": 29887, + "Ġsoy": 29888, + "çĽijæµĭ": 29889, + "Ġhated": 29890, + "haver": 29891, + "================================================================": 29892, + "Ġaccessing": 29893, + "Ġresidències": 29894, + "ĠpÃłrquing": 29895, + "olph": 29896, + "EST": 29897, + "Buy": 29898, + "Mot": 29899, + "åĽŀå½Ĵ": 29900, + "Ġaesthetic": 29901, + "ĠGary": 29902, + "åı¦ä¸Ģ个": 29903, + "Ġendure": 29904, + "å¤ļåħĥ": 29905, + "ĠÑħеÑĢÑĨог": 29906, + "ĠmÃŃn": 29907, + "ä½łåı¯ä»¥": 29908, + "cir": 29909, + "Friend": 29910, + "quin": 29911, + "åĮĻ": 29912, + "ÑĤана": 29913, + "ĠнаÑģеление": 29914, + "pragma": 29915, + "ustain": 29916, + "ĠXVI": 29917, + "idea": 29918, + "dynamic": 29919, + "phys": 29920, + "ĠAnglaterra": 29921, + "æīij": 29922, + "Ġcoincide": 29923, + "Prev": 29924, + "天天": 29925, + "ç³ĸå°¿": 29926, + "ĠпоÑģ": 29927, + "è§Ĥ念": 29928, + "ĠопеÑĢа": 29929, + "Ġpension": 29930, + "Ġreminder": 29931, + "ĠAV": 29932, + "Ġproceeding": 29933, + "AW": 29934, + "åŃŁ": 29935, + "shirt": 29936, + "äºŃ": 29937, + "Ġpriced": 29938, + "machine": 29939, + "Ġlaundry": 29940, + "Ġpics": 29941, + "Ġattent": 29942, + "________________________________": 29943, + "(['": 29944, + "Ġdotted": 29945, + "Ġarchivos": 29946, + "ĠХи": 29947, + "Ġsensation": 29948, + "Lead": 29949, + "ĠоÑĦиÑĨиал": 29950, + "choose": 29951, + "rats": 29952, + "ĠXIV": 29953, + "ĠDIY": 29954, + "Ġnat": 29955, + "NSString": 29956, + "Ġ(?": 29957, + "Chat": 29958, + "ĠRent": 29959, + "Ġtodas": 29960, + "lv": 29961, + "Ġaccepts": 29962, + "Ġкомп": 29963, + "Ġdemanar": 29964, + "Ġchron": 29965, + "ĠAustria": 29966, + "Ġmercat": 29967, + "Ġdisjoint": 29968, + "ĠCruz": 29969, + "Amèrica": 29970, + "versions": 29971, + "deo": 29972, + "ĠStrong": 29973, + "bris": 29974, + "ĠINDEX": 29975, + "Ġcensats": 29976, + "ordinates": 29977, + "Ġretr": 29978, + "ĠActually": 29979, + "Ġjoins": 29980, + "Ġejecutar": 29981, + "War": 29982, + "å¿«éĢĴ": 29983, + "appropriate": 29984, + "ĠизÑĤо": 29985, + "ç©¿çĿĢ": 29986, + "ĠSTAT": 29987, + "mong": 29988, + "Ġsimulate": 29989, + "cz": 29990, + "å¯Ĥ": 29991, + "\\-": 29992, + "ĠJere": 29993, + "Ġeditorial": 29994, + "Ġrecuperar": 29995, + "ĠамеÑĢикан": 29996, + "Ġcalories": 29997, + "Ġconsensus": 29998, + "æł¼å±Ģ": 29999, + "Ġchapters": 30000, + "Norm": 30001, + "ĠDra": 30002, + "Bon": 30003, + "ĠVancouver": 30004, + "Ġunderground": 30005, + "æ´»åĬĽ": 30006, + "Ġscanning": 30007, + "åħ±åĴĮåĽ½": 30008, + "ogrÃłf": 30009, + "Timestamp": 30010, + "Ġsatisfactory": 30011, + "çĪ±å¥½": 30012, + "syn": 30013, + "Ġgown": 30014, + "çĭł": 30015, + "pretty": 30016, + "Sent": 30017, + "received": 30018, + "Ġdebes": 30019, + "ĠFashion": 30020, + "æĹłéĻIJ": 30021, + "ĠDevices": 30022, + "Similar": 30023, + "é¤IJåİħ": 30024, + "itució": 30025, + "sdk": 30026, + "Ġescl": 30027, + "responsive": 30028, + "Ġah": 30029, + "Ġinactius": 30030, + "æŀ£": 30031, + "çļĦ表çİ°": 30032, + "ituting": 30033, + "Walk": 30034, + "poor": 30035, + "ä½ĵåĨħ": 30036, + "ĠMarkov": 30037, + "ersonals": 30038, + "Ġgrocery": 30039, + "Separ": 30040, + "quitectònic": 30041, + "Water": 30042, + "åĿļåĨ³": 30043, + "Ġfisher": 30044, + "Ġcorrelated": 30045, + "山西": 30046, + "VEL": 30047, + "PK": 30048, + "ĠклÑĥ": 30049, + "ĠimportÃłncia": 30050, + "åıĺæĪIJäºĨ": 30051, + "Ġlol": 30052, + "å±ħçĦ¶": 30053, + "ĠBaltimore": 30054, + "ĠWelcome": 30055, + "ICH": 30056, + "Ġaconseg": 30057, + "failed": 30058, + "æµĨ": 30059, + "Ġcoconut": 30060, + "photo": 30061, + "influ": 30062, + "Marker": 30063, + "Ġnormalization": 30064, + "ARE": 30065, + "Ġenroll": 30066, + "Ġtrails": 30067, + "Ġtales": 30068, + "Runner": 30069, + "å»·": 30070, + "Added": 30071, + "Ġcrops": 30072, + "ĠKeyboard": 30073, + "emade": 30074, + "lando": 30075, + "ĠSalvador": 30076, + "Ġmestre": 30077, + "Ġsampled": 30078, + "Ġconcentrated": 30079, + "Ġreminds": 30080, + "eva": 30081, + "Ġparticipated": 30082, + "ĠPent": 30083, + "ĠProof": 30084, + "ĠTrain": 30085, + "Ġba": 30086, + "ĠProtest": 30087, + "Ġcapbaix": 30088, + "Ġconverges": 30089, + "ĠbritÃłnics": 30090, + "thanks": 30091, + "Ðŀб": 30092, + "ĠRate": 30093, + "è¿Ľåİ»": 30094, + "Ġworkaround": 30095, + "LEASE": 30096, + "bx": 30097, + "Ġrewrite": 30098, + "çļĦ车": 30099, + "ĠPosition": 30100, + "Missing": 30101, + "æĨ¾": 30102, + "Ġllogaters": 30103, + "curl": 30104, + "ÐľÐµ": 30105, + "å¾ĹäºĨ": 30106, + "ĠÐĴелико": 30107, + "Ġadaptation": 30108, + "ĠвеÑĢ": 30109, + "Ġdrill": 30110, + "гÑĢаÑĦиÑı": 30111, + "órmula": 30112, + "Ġlav": 30113, + "Ġdecis": 30114, + "бÑĢан": 30115, + "Ġomit": 30116, + "ĠBJ": 30117, + "dues": 30118, + "ĠStars": 30119, + "Ġprofitable": 30120, + "Ġcommander": 30121, + "compass": 30122, + "åĵªä¸ª": 30123, + "Ġinstructor": 30124, + "hda": 30125, + "å¢ŀéĢŁ": 30126, + "registr": 30127, + "ĠнÑıма": 30128, + "Ġstove": 30129, + "ĠPatri": 30130, + "ĠRésumé": 30131, + "introdu": 30132, + "zoom": 30133, + "Ġoutward": 30134, + "ĠChel": 30135, + "rita": 30136, + "Ġstatistique": 30137, + "åĨ¯": 30138, + "æ³ķè§Ħ": 30139, + "December": 30140, + "ĠSuite": 30141, + "inqu": 30142, + "ĠUtility": 30143, + "пÑĢимеÑĢ": 30144, + "Ġdinastia": 30145, + "Ġskirt": 30146, + "Ġinterfere": 30147, + "Ġmisery": 30148, + "é¸Ń": 30149, + "ĠHandle": 30150, + "aned": 30151, + "ĠDefense": 30152, + "ĠÑģпеÑĨиал": 30153, + "ĠNancy": 30154, + "deprecated": 30155, + "çļĦ第ä¸Ģ": 30156, + "ĠNurs": 30157, + "Ġgru": 30158, + "è¢ģ": 30159, + "ĠPav": 30160, + "ĠTeatre": 30161, + "|<": 30162, + "Ġecosystem": 30163, + "esk": 30164, + "ç¥Ŀç¦ı": 30165, + "ĠChron": 30166, + "ĠÑģÑĬдÑĬÑĢжа": 30167, + "PirÃłmide": 30168, + "RF": 30169, + "åĪ¹": 30170, + "Ġsuffix": 30171, + "enga": 30172, + "Ġrotating": 30173, + "Ġgratuït": 30174, + "ĠRecently": 30175, + "Ġaccretion": 30176, + "Crit": 30177, + "ĠUntil": 30178, + "å½±è§Ĩ": 30179, + "Ġcasting": 30180, + "anded": 30181, + "Ġrespecte": 30182, + "Ġnovels": 30183, + "Ġshaking": 30184, + "Ġsuppressed": 30185, + "ĠCob": 30186, + "äº¬ä¸ľ": 30187, + "Ġunipersonals": 30188, + "Ġmice": 30189, + "Ġgloss": 30190, + "ĠAssume": 30191, + "Delay": 30192, + "Ġalgebras": 30193, + "кови": 30194, + "è¿Ļç±»": 30195, + "ĠBeyond": 30196, + "Ġambition": 30197, + "ĠWarren": 30198, + "ĠET": 30199, + "INGS": 30200, + "ĠOH": 30201, + "èĢĥå¯Ł": 30202, + "Ġpren": 30203, + "åĪ°æĿ¥": 30204, + "ĠAppe": 30205, + "Ġnouns": 30206, + "å¿ĥæĢģ": 30207, + "ymph": 30208, + "declare": 30209, + "induced": 30210, + "Ġweakly": 30211, + "ĠVar": 30212, + "hattan": 30213, + "æ¸ħçIJĨ": 30214, + "çIJĥè¿·": 30215, + "Mov": 30216, + "corn": 30217, + "ĠвÑĢемеÑĤо": 30218, + "Ġtragedy": 30219, + "illance": 30220, + "ĠIter": 30221, + "Ġempower": 30222, + "æľºçļĦ": 30223, + "IDENT": 30224, + "Ġpau": 30225, + "Ġbloss": 30226, + "ä¸Ģå®ļä¼ļ": 30227, + "Ġdisposit": 30228, + "大家éĥ½": 30229, + "ĠAlaska": 30230, + "compact": 30231, + "å§ijå¨ĺ": 30232, + "æīĢå¾Ĺ": 30233, + "Ġgard": 30234, + "Ġsheer": 30235, + "asped": 30236, + "ĠÃīvolution": 30237, + "CAT": 30238, + "CAP": 30239, + "_{-\\": 30240, + "Ġbreakdown": 30241, + "ä¿ĿçķĻ": 30242, + "ленове": 30243, + "ĠЦен": 30244, + "Much": 30245, + "MF": 30246, + "Ġcovariance": 30247, + "Ġmerid": 30248, + "åĴ¬": 30249, + "ÐĽÐ¸": 30250, + "Ġnúmeros": 30251, + "Ġ<<Ġ": 30252, + "ĠAquestes": 30253, + "Ġге": 30254, + "ratio": 30255, + "ĠPictures": 30256, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 30257, + "renc": 30258, + "Ġwides": 30259, + "TERN": 30260, + "rites": 30261, + "让èĩªå·±": 30262, + "Ġdepicted": 30263, + "òlegs": 30264, + "ètics": 30265, + "inació": 30266, + "amiento": 30267, + "leaf": 30268, + "ç¿ł": 30269, + "Bigg": 30270, + "æ´¾åĩº": 30271, + "Christian": 30272, + "rout": 30273, + "Ġevaluating": 30274, + "urers": 30275, + "åѦåİĨ": 30276, + "pez": 30277, + "lez": 30278, + "Ġstaring": 30279, + "паÑĤа": 30280, + "Ġsoldats": 30281, + "Ġmandatory": 30282, + "ĠPeriod": 30283, + ".*;": 30284, + "Ġonion": 30285, + "Ġpoeta": 30286, + "Ġautomation": 30287, + "ĠKol": 30288, + "âĦĸ": 30289, + "Ġnewsletter": 30290, + "æª": 30291, + "éĩįè¦ģçļĦæĺ¯": 30292, + "Ġcalor": 30293, + "bands": 30294, + "Ġhelpless": 30295, + "Фил": 30296, + "YS": 30297, + "åı¦ä¸Ģæĸ¹éĿ¢": 30298, + "Ġscholars": 30299, + "ateria": 30300, + "Measure": 30301, + "æĤ¨çļĦ": 30302, + "åı¯ä»¥è¯´æĺ¯": 30303, + "enburg": 30304, + "ĠVk": 30305, + "Ġhonored": 30306, + "Ġbeaches": 30307, + "ä¹Łå°Ĩ": 30308, + "mx": 30309, + "ÐŁÑĬÑĢ": 30310, + "ĠIntroduction": 30311, + "ĠGift": 30312, + "ĠQt": 30313, + "sembling": 30314, + "Tools": 30315, + "Ġembro": 30316, + "Ġoverseas": 30317, + "æľīåı¯èĥ½": 30318, + "ENV": 30319, + "andidate": 30320, + "hin": 30321, + "Ġdiari": 30322, + "Ġtècnica": 30323, + "flash": 30324, + "Inner": 30325, + "smith": 30326, + "Ġeigenvalue": 30327, + "django": 30328, + "ĠNom": 30329, + "Ġaudiences": 30330, + "ĠBenjamin": 30331, + "ĠCommercial": 30332, + "Ġempr": 30333, + "èĬ½": 30334, + "лениеÑĤо": 30335, + "adequ": 30336, + "Ġpintura": 30337, + "Ġfets": 30338, + "Conclusion": 30339, + "ĠMesa": 30340, + "Ġpulses": 30341, + "Ġtaller": 30342, + "Ġjoves": 30343, + "Ġlar": 30344, + "è¾ĵåħ¥": 30345, + "Habitants": 30346, + "National": 30347, + "ĠBloom": 30348, + "Contract": 30349, + "fortune": 30350, + "Ġclima": 30351, + "миниÑģÑĤÑĢаÑĤи": 30352, + "cancel": 30353, + "dispatch": 30354, + "Ġpresentations": 30355, + "ĠQuart": 30356, + "Neg": 30357, + "istocr": 30358, + "ĠIslamic": 30359, + "æī¿è®¤": 30360, + "Vers": 30361, + "fono": 30362, + "ĠNJ": 30363, + "Ġintro": 30364, + "Ġhelper": 30365, + "ĠFixed": 30366, + "åľ¨å¤ĸ": 30367, + "Ġlyrics": 30368, + "ĠÑĤÑĬй": 30369, + "oused": 30370, + "Ġswear": 30371, + "åŃ¦æľ¯": 30372, + "Ġconflicts": 30373, + "æĦģ": 30374, + "Ġreinforce": 30375, + "cls": 30376, + "èĵĦ": 30377, + "ĠIo": 30378, + "侯": 30379, + "Ġmagistr": 30380, + "Ġdisplaying": 30381, + "ĠRidge": 30382, + "FIX": 30383, + "è¿İæĿ¥": 30384, + "ĠUnknown": 30385, + "èĢĥæł¸": 30386, + "ĠСко": 30387, + "Ġrespects": 30388, + "æį®æĤī": 30389, + "Ġtuning": 30390, + "маÑĢ": 30391, + "dbc": 30392, + "ĠHus": 30393, + "hope": 30394, + "Ġtribute": 30395, + "ĠNear": 30396, + "Ġbarriers": 30397, + "ç²¥": 30398, + "визи": 30399, + "解æĶ¾": 30400, + "ĠbritÃłnic": 30401, + "Ġtransient": 30402, + "ĠPhysical": 30403, + "наÑĢо": 30404, + "Ġproximity": 30405, + "大çĽĺ": 30406, + "ĠtÃŃ": 30407, + "Ġblown": 30408, + "çŃīæĸ¹éĿ¢": 30409, + "ä¹Łå°±æĺ¯è¯´": 30410, + "Ġglanced": 30411, + "æŁIJæŁIJ": 30412, + "ialis": 30413, + "Ġraises": 30414, + "æķ²": 30415, + "escacs": 30416, + "å¤ĦçļĦ": 30417, + "åĽ½åĬ¡": 30418, + "forma": 30419, + "glob": 30420, + "Setup": 30421, + "Ġhistòric": 30422, + "èĽĩ": 30423, + "ĠQU": 30424, + "Ġbrowsing": 30425, + "Ġconceal": 30426, + "Ġjubilades": 30427, + "EVENT": 30428, + "Ġlearnt": 30429, + "Ġaus": 30430, + "åħ¬å®īå±Ģ": 30431, + "Ġregener": 30432, + "é«ĺè´¨éĩı": 30433, + "Ġqü": 30434, + "Ġemitter": 30435, + "__)": 30436, + "ĠKay": 30437, + "derr": 30438, + "ĠÐijÑĬлгаÑĢ": 30439, + "Ġcustomize": 30440, + "parents": 30441, + "Ġcosmological": 30442, + "Ġatribut": 30443, + "Ġpremises": 30444, + "Expected": 30445, + "ĠCharacter": 30446, + "ĠLAN": 30447, + "Ġsòl": 30448, + "ĠNice": 30449, + "ilda": 30450, + "NGTH": 30451, + "ĠThy": 30452, + "æµģè¡Į": 30453, + "prot": 30454, + "lessness": 30455, + "衬": 30456, + "Ġaltar": 30457, + "Ġaloud": 30458, + "Ġspouse": 30459, + "ĠTogether": 30460, + "Ġexplotacions": 30461, + "Ġstared": 30462, + "ĠRachel": 30463, + "çal": 30464, + "ĠCarter": 30465, + "ked": 30466, + "ĠBeauty": 30467, + "è¡Įä¸ļçļĦ": 30468, + "ĠPoor": 30469, + "Visual": 30470, + "ĠCleveland": 30471, + "Ġmedications": 30472, + "Ġyarn": 30473, + "ĠSymbol": 30474, + "Ġmusul": 30475, + "Jose": 30476, + "Ġformen": 30477, + "Ġmultiplication": 30478, + "Ġvapor": 30479, + "Ġshifting": 30480, + "ĠIntent": 30481, + "Ġminus": 30482, + "Ġbypass": 30483, + "=Ġ$": 30484, + "èĨĿ": 30485, + "Ġingredient": 30486, + "çĶ¨äºĨ": 30487, + "Ġpills": 30488, + "concat": 30489, + "转åıĺ": 30490, + "Models": 30491, + "æķ´æĶ¹": 30492, + "Ġcomposició": 30493, + "Ġdisposition": 30494, + "Ġvitamin": 30495, + "Executor": 30496, + "ç²¾èĩ´": 30497, + "Ġdorm": 30498, + "Ġtricky": 30499, + "ĠTurkish": 30500, + "opol": 30501, + "Exc": 30502, + "Ġconstitute": 30503, + "Ġinclusive": 30504, + "Been": 30505, + "Ġcamping": 30506, + "Ġllogats": 30507, + "ilevel": 30508, + "Ġpretend": 30509, + "ä¸ĵä¸ļçļĦ": 30510, + "Ġkernels": 30511, + "ajo": 30512, + "Ġunused": 30513, + "ĠStanley": 30514, + "éģ®": 30515, + "Ġyeah": 30516, + "Ġinteracting": 30517, + "FN": 30518, + "Ġtemples": 30519, + "ĠBroadway": 30520, + "encoding": 30521, + "åIJĦèĩª": 30522, + "Depth": 30523, + "мпе": 30524, + "ĠкоÑĢа": 30525, + "Ġbasement": 30526, + "Ġconsuming": 30527, + "çĶ³æĬ¥": 30528, + "è§ģåĪ°": 30529, + "Ġdramatically": 30530, + "borne": 30531, + "ĠNetherlands": 30532, + "Ġdistinctive": 30533, + "Ġtuple": 30534, + "Ġgraphical": 30535, + "ĠгÑĢажда": 30536, + "ç¦ıåĪ©": 30537, + "ĠCec": 30538, + "èİ·å¾ĹäºĨ": 30539, + "ĠEV": 30540, + "uese": 30541, + "Ġappropriately": 30542, + "Ġsailing": 30543, + "Ġparla": 30544, + "ĠBoys": 30545, + "Techn": 30546, + "ĠGiov": 30547, + "nod": 30548, + "åĩºåı°": 30549, + "вед": 30550, + "Ġfatigue": 30551, + "Ġmont": 30552, + "Ġadjustable": 30553, + "Friday": 30554, + "кова": 30555, + "ncycl": 30556, + "branch": 30557, + "Ġcirculation": 30558, + "çļĦè¿ĩç¨ĭ": 30559, + "Ġentren": 30560, + "Ġtermination": 30561, + "Frank": 30562, + "ĠMack": 30563, + "Ġdeployed": 30564, + ".}\\": 30565, + "nos": 30566, + "iries": 30567, + "Ġspecifies": 30568, + "paste": 30569, + "Analy": 30570, + "çĶ¨äºº": 30571, + "æĻķ": 30572, + "oter": 30573, + "转åĮĸ": 30574, + "èµĽäºĭ": 30575, + "helm": 30576, + "sson": 30577, + "Ġhistori": 30578, + "éĢļ讯": 30579, + "ĠMathemat": 30580, + "Ġnegoci": 30581, + "Backup": 30582, + "ĠRoche": 30583, + "Ġethnic": 30584, + "ISO": 30585, + "Ġinitialization": 30586, + "Ġparaula": 30587, + "Ġadap": 30588, + "Ġpollution": 30589, + "lès": 30590, + "Ãłlisi": 30591, + "ifa": 30592, + "çģĮ": 30593, + "ynchronous": 30594, + "Ġantes": 30595, + "ĠHob": 30596, + "ĠевÑĢо": 30597, + "ĠResort": 30598, + "ĠCamera": 30599, + "jdk": 30600, + "altre": 30601, + "æijĬ": 30602, + "Ġfulfilled": 30603, + "Ġcomú": 30604, + "Ġneutron": 30605, + "Ġplac": 30606, + "igenous": 30607, + "ĠPhilos": 30608, + "ĠExamples": 30609, + "Ġnombrosos": 30610, + "Say": 30611, + "ĠMonsieur": 30612, + "ĠPoisson": 30613, + "Ġmerchand": 30614, + "ÑģÑĬк": 30615, + "Ġmould": 30616, + "çģµæ´»": 30617, + "Ġrefreshing": 30618, + "ĠOlympic": 30619, + "Ġlug": 30620, + "ĠгÑĢÑĥпаÑĤа": 30621, + "thin": 30622, + "Ġshocked": 30623, + "Ġaffirm": 30624, + "rele": 30625, + "Ġclaiming": 30626, + "åįģ足": 30627, + "iquity": 30628, + "ä¸Ģ段æŶéĹ´": 30629, + "listed": 30630, + "вели": 30631, + "appeared": 30632, + "æĺ¯çĶ±": 30633, + "Ġprost": 30634, + "Ġchick": 30635, + "mounted": 30636, + "Ġflavour": 30637, + "Ġrefug": 30638, + "Ġdamn": 30639, + "Shop": 30640, + "Bs": 30641, + "Ġlamb": 30642, + "ĠArgentina": 30643, + "ĠGrècia": 30644, + "ĠDefine": 30645, + "çļĦåıij": 30646, + "ĠFM": 30647, + "æĽ°": 30648, + "èijĽ": 30649, + "tright": 30650, + "ĠLogin": 30651, + "sett": 30652, + "Ġunders": 30653, + "iciones": 30654, + "ä¹°åįĸ": 30655, + "ĠTransfer": 30656, + "Ġopera": 30657, + "Metrics": 30658, + "Ġrepartia": 30659, + "Ġplaint": 30660, + "vdots": 30661, + "Ġbins": 30662, + "åIJµ": 30663, + "anter": 30664, + "Ġcellular": 30665, + "ĠRip": 30666, + "edic": 30667, + "Used": 30668, + "ĠаÑĢÑħи": 30669, + "ĠChairman": 30670, + "#!/": 30671, + "åħ»æ®ĸ": 30672, + "ventions": 30673, + "Ġvanity": 30674, + "éļ¾åº¦": 30675, + "Ġnaval": 30676, + "Ġpolite": 30677, + "就没æľī": 30678, + "ĠÐĴла": 30679, + "maid": 30680, + "Ġsag": 30681, + "ĠNull": 30682, + "maybe": 30683, + "Ġhammer": 30684, + "ĠIndependent": 30685, + "Ġcasades": 30686, + "chard": 30687, + "Ġcorrectamente": 30688, + "asha": 30689, + "åĪĨå¸ĥ": 30690, + "代谢": 30691, + "FLAG": 30692, + "recated": 30693, + "Ġarrives": 30694, + "MEM": 30695, + "Ġprogr": 30696, + "Ġacord": 30697, + "ĠWA": 30698, + "æ¶ĪéĻ¤": 30699, + "screens": 30700, + "ĠClare": 30701, + "ĠHale": 30702, + "Ġunderstands": 30703, + "æĶ¶èĹı": 30704, + "theory": 30705, + "Ġmerry": 30706, + "Ġrenewed": 30707, + "Ġdistrib": 30708, + "Ġtir": 30709, + "ĠÑģÑĤÑĥ": 30710, + "ä½ĵä¼ļ": 30711, + "Ast": 30712, + "ĠTCP": 30713, + "ÑĢиÑıÑĤа": 30714, + "hort": 30715, + "perl": 30716, + "æĽĿåħī": 30717, + "ÑĦика": 30718, + "fake": 30719, + "éĥ¨éĺŁ": 30720, + "éĵĿ": 30721, + "æĢ»ç»Ł": 30722, + "ĠCream": 30723, + "Ġnoms": 30724, + "Ġhabitual": 30725, + "ĠPier": 30726, + "åįłæ¯Ķ": 30727, + "Ġillustrates": 30728, + "organització": 30729, + "/)": 30730, + "ĠÑĢазде": 30731, + "tipo": 30732, + "Ġseguretat": 30733, + "emale": 30734, + "quo": 30735, + "Newton": 30736, + "ĠEmma": 30737, + "Mut": 30738, + "ĠSout": 30739, + "Ġreass": 30740, + "Ingress": 30741, + "seek": 30742, + "Ġporch": 30743, + "ĠDateTime": 30744, + "hyp": 30745, + "Ġenlarg": 30746, + "Ġgenera": 30747, + "metric": 30748, + "ènia": 30749, + "Ġminority": 30750, + "Company": 30751, + "Calendar": 30752, + "èij£äºĭéķ¿": 30753, + "sched": 30754, + "ĠLouisiana": 30755, + "Literal": 30756, + "çī©çļĦ": 30757, + "Ġchairman": 30758, + "Ġcivilization": 30759, + "ĠdifÃŃc": 30760, + "Ġbasics": 30761, + "åĩ¶": 30762, + "Ġsubsection": 30763, + "ĠEld": 30764, + "бан": 30765, + "ĠGabriel": 30766, + "fy": 30767, + "Ġpencil": 30768, + "пÑĢед": 30769, + "Ġisomorphic": 30770, + "Ġclearing": 30771, + "Ġspa": 30772, + "ĠEye": 30773, + "xffffff": 30774, + "âĢĭâĢĭ": 30775, + "Law": 30776, + "Ġlinen": 30777, + "illon": 30778, + "Ġdisappointment": 30779, + "Ġmultiplic": 30780, + "\"{{": 30781, + "Ġtreaty": 30782, + "Ġprol": 30783, + "emetery": 30784, + "åIJķ": 30785, + "биÑĢа": 30786, + "ĠCrime": 30787, + "ovent": 30788, + "Ġlasted": 30789, + "ĠiPod": 30790, + "ĠDad": 30791, + "éģŃéģĩ": 30792, + "ĠSold": 30793, + "ĠBring": 30794, + "getInstance": 30795, + "Ġundergo": 30796, + "ĠOfficial": 30797, + "rops": 30798, + "ä¸ĭæ»ij": 30799, + "å®ŀçİ°äºĨ": 30800, + "ç»Ļ人": 30801, + "Verify": 30802, + "Ġscaled": 30803, + "urban": 30804, + "Ġannotation": 30805, + "Exists": 30806, + "ĠHorse": 30807, + "ĠJunior": 30808, + "ÐŁÑĢе": 30809, + "åĭ¾": 30810, + "imens": 30811, + "麻çĥ¦": 30812, + "rys": 30813, + "Ġvault": 30814, + "ĠTruth": 30815, + "çĭ±": 30816, + "everything": 30817, + "ĠSid": 30818, + "Ġperpendicular": 30819, + "Ġsurprisingly": 30820, + "çݲ": 30821, + "è®°ä½ı": 30822, + "Ġlesser": 30823, + "åľ°è¯´": 30824, + "ĠпÑĬÑĢвиÑı": 30825, + "StyleID": 30826, + "Ġpremis": 30827, + "Ġaturades": 30828, + "cester": 30829, + "ĠBruss": 30830, + "President": 30831, + "Ġimplic": 30832, + "Ġatorg": 30833, + "ĠÑĢежиÑģ": 30834, + "Converter": 30835, + "Aquesta": 30836, + "ĠÑĨел": 30837, + "é¢ģ": 30838, + "WITH": 30839, + "Ġbackgrounds": 30840, + "GAN": 30841, + "ĠInterior": 30842, + "ÑĤÑĢов": 30843, + "mur": 30844, + "æĸ°çĸĨ": 30845, + "quen": 30846, + "ĠAbraham": 30847, + "å¨ģèĥģ": 30848, + "RUN": 30849, + "奶奶": 30850, + "Ġsprings": 30851, + "Ġheadquarters": 30852, + "ĠdistÃłncia": 30853, + "ĠEdinburgh": 30854, + "èģªæĺİ": 30855, + "Ġmicrophone": 30856, + "Ġleap": 30857, + "ĠвÑģÑı": 30858, + "WW": 30859, + "人大": 30860, + "Ġprotective": 30861, + "ISTS": 30862, + "å¹¶åľ¨": 30863, + "escal": 30864, + "çİĦ": 30865, + "prep": 30866, + "Ãłmb": 30867, + "Ġslices": 30868, + "Ġsubscrib": 30869, + "Ġcolonial": 30870, + "Ġpolyg": 30871, + "upiter": 30872, + "Ġclinic": 30873, + "willing": 30874, + "个èĤ¡": 30875, + "ä¸įåģľ": 30876, + "Ġassurance": 30877, + "Ġuploaded": 30878, + "ĠобÑīинаÑĤа": 30879, + "Ġexpose": 30880, + "purpose": 30881, + "Ġappetite": 30882, + "Ġglimpse": 30883, + "çļĦç¡®": 30884, + "åĪĽæĦı": 30885, + "Ñģлав": 30886, + "urrection": 30887, + "Ġinvestigations": 30888, + "ĠSample": 30889, + "å¤ļæķ°": 30890, + "äºīè®®": 30891, + "usement": 30892, + "IAN": 30893, + "Ġdared": 30894, + "å°Ĩåħ¶": 30895, + "getText": 30896, + "ĠRoot": 30897, + "çļĦåħ³ç³»": 30898, + "è´Łæĭħ": 30899, + "Primary": 30900, + "KB": 30901, + "åĩºç§Ł": 30902, + "Until": 30903, + "çļĦæķħäºĭ": 30904, + "ĠServe": 30905, + "Ġmotiu": 30906, + "ĠAndre": 30907, + "Ġsubscribe": 30908, + "ĠÑĦÑĥн": 30909, + "æĪijåĴĮ": 30910, + "Ġtourism": 30911, + "路线": 30912, + "Ġresumed": 30913, + "Ġfreqü": 30914, + "Ġwage": 30915, + "schemas": 30916, + "ĠнапÑĢа": 30917, + "падна": 30918, + "ifth": 30919, + "æĺ¯ä¸ŃåĽ½": 30920, + "Errorf": 30921, + "olució": 30922, + "Ġconformal": 30923, + "ĠHudson": 30924, + "ĠXIII": 30925, + "Ġcheerful": 30926, + "Ber": 30927, + "Ġenf": 30928, + "åĽŃåĮº": 30929, + "felt": 30930, + "Ġpains": 30931, + "Ġseating": 30932, + "Ġoutdoors": 30933, + "Ġdeed": 30934, + "Ġcompelling": 30935, + "Ġезе": 30936, + "ĠкаÑĤе": 30937, + "ilight": 30938, + "Ġmarvel": 30939, + "ĠTechnologies": 30940, + "æľįè£ħ": 30941, + "Ġtourists": 30942, + "ĠRena": 30943, + "[/": 30944, + "ucker": 30945, + "orange": 30946, + "Ġsurviv": 30947, + "ISE": 30948, + "çļĦæīĭ": 30949, + "conj": 30950, + "thren": 30951, + "ĠUEFI": 30952, + "lead": 30953, + "strict": 30954, + "ά": 30955, + "Ġretailers": 30956, + "主åĬĽ": 30957, + "éĤ£å°±": 30958, + "resc": 30959, + "Ġef": 30960, + "Ġearning": 30961, + "keley": 30962, + "Ġsolteres": 30963, + "Ġrepeating": 30964, + "development": 30965, + "Ġexplosion": 30966, + "Ġanteriors": 30967, + "eton": 30968, + "Clean": 30969, + "Ġmús": 30970, + "erencia": 30971, + "ĠCompl": 30972, + "Ġ§": 30973, + "Ġconsiderar": 30974, + "ĠRules": 30975, + "ĠBetty": 30976, + "Ġarcs": 30977, + "Ġtheft": 30978, + "ĠIvan": 30979, + "çļĦåĨħ容": 30980, + "Ġunclear": 30981, + "æĪĸèĢħæĺ¯": 30982, + "icionals": 30983, + "Ġluxurious": 30984, + "emit": 30985, + "æĢ§è´¨": 30986, + "Ġpork": 30987, + "ĠFactory": 30988, + "çĭ®": 30989, + "street": 30990, + "mathds": 30991, + "讲è¯Ŀ": 30992, + "ĠSantiago": 30993, + "PASS": 30994, + "åĬ¨æĢģ": 30995, + "Ġconverting": 30996, + "Ġgoog": 30997, + "Ġresultats": 30998, + "ÐľÐ¸": 30999, + "Ġestable": 31000, + "Ġseventh": 31001, + "Ġbacks": 31002, + "ApJ": 31003, + "stad": 31004, + "Ġrenowned": 31005, + "Ġlamps": 31006, + "Ġconcentrate": 31007, + "Ġff": 31008, + "Aggreg": 31009, + "Ġinex": 31010, + "Ġimprison": 31011, + "Ġsliding": 31012, + "Loading": 31013, + "ĠMik": 31014, + "Everything": 31015, + "FM": 31016, + "né": 31017, + "ossa": 31018, + "é¦Ī": 31019, + "强åĬ¿": 31020, + "ĠLost": 31021, + "NODE": 31022, + "roe": 31023, + "Ġподоб": 31024, + "ĠBorg": 31025, + "认è¯ģ": 31026, + "oides": 31027, + "women": 31028, + "Ġdys": 31029, + "paid": 31030, + "æĮīæij©": 31031, + "ĠпеÑĢиод": 31032, + "ĠStage": 31033, + "ĠEqs": 31034, + "åıĪæľī": 31035, + "Ġtècn": 31036, + "bring": 31037, + "ĠRiemann": 31038, + "ĠSoon": 31039, + "azy": 31040, + "trightarrow": 31041, + "vag": 31042, + "ĠÐľÐ°Ð¹": 31043, + "ĠТÑĥÑĢ": 31044, + "è¶ħå¸Ĥ": 31045, + "寨": 31046, + "isine": 31047, + "ä¸įçĦ¶": 31048, + "Ġribbon": 31049, + "ĠNorman": 31050, + "zel": 31051, + "Sound": 31052, + "ixa": 31053, + "ĠFishes": 31054, + "ubern": 31055, + "çĬ¬": 31056, + "ĠGlad": 31057, + "éľŀ": 31058, + "ĠContinu": 31059, + "Ġencode": 31060, + "Ġmetals": 31061, + "Ġimpose": 31062, + "ieves": 31063, + "Ġpromoted": 31064, + "éĢ»è¾ij": 31065, + "ĠRuntime": 31066, + "ĠNar": 31067, + "Ġluc": 31068, + "ensitive": 31069, + "ianes": 31070, + "CAL": 31071, + "ucked": 31072, + "ei": 31073, + "citealt": 31074, + "Ġsint": 31075, + "mutable": 31076, + "cause": 31077, + "Ġunpleasant": 31078, + "ĠAnti": 31079, + "ĠĠ~": 31080, + "Ġvicinity": 31081, + "Ġphil": 31082, + "Ġtypedef": 31083, + "Ġsine": 31084, + "Ġuri": 31085, + "Drag": 31086, + "ĠоÑģÑĤава": 31087, + "ĠReserve": 31088, + "жениÑı": 31089, + "generator": 31090, + "å¼ĺ": 31091, + "âķij": 31092, + "Ġimmob": 31093, + "ĠHERE": 31094, + "ĉĉĉĉĉĉĉĉĉĉ<": 31095, + "Ġdocker": 31096, + "кновено": 31097, + "inis": 31098, + "estim": 31099, + "æŃ£ç¡®çļĦ": 31100, + "ĠAaron": 31101, + "oso": 31102, + "éī´å®ļ": 31103, + "ĠÅĻÃŃ": 31104, + "Ġdemonstration": 31105, + "åľ°ä¸ĭ": 31106, + "alis": 31107, + "溢": 31108, + "ÐĿе": 31109, + "intern": 31110, + "åħ¬å¹³": 31111, + "ibil": 31112, + "Ġadject": 31113, + "åıĻ": 31114, + "Ġμ": 31115, + "ĠEspecially": 31116, + "Ġcompte": 31117, + "éĶ¡": 31118, + "Ġwealthy": 31119, + "ĠClay": 31120, + "é³": 31121, + "ĠSyntax": 31122, + "Ġcosmic": 31123, + "Ġrepo": 31124, + "weather": 31125, + "_:": 31126, + "drivers": 31127, + "Ġhopeless": 31128, + "åľ¨äºĨ": 31129, + "Ġinfected": 31130, + "Ġformatted": 31131, + "çĪ±å¿ĥ": 31132, + "ت": 31133, + "Ġpreserving": 31134, + "arga": 31135, + "临æŶ": 31136, + "Ġmathematics": 31137, + "ä¸į大": 31138, + "pherd": 31139, + "åıĹ伤": 31140, + "GroupName": 31141, + "Ġdesocupats": 31142, + "Ġsuccession": 31143, + "Peter": 31144, + "åĬ©åĬĽ": 31145, + "Ġexceeds": 31146, + "ĠÑĥÑĩе": 31147, + "Ġtanto": 31148, + "бÑİ": 31149, + "ĠEinstein": 31150, + "ĠAdult": 31151, + "Ġdrawings": 31152, + "ĠPOST": 31153, + "ĠmÃłxima": 31154, + "ç³ĸå°¿çĹħ": 31155, + "ĠShah": 31156, + "supervised": 31157, + "æĬĸ": 31158, + "ĠRosa": 31159, + "ertation": 31160, + "ĠизклÑİ": 31161, + "Chart": 31162, + "Ġexamining": 31163, + "Ġbackend": 31164, + "äºĴ缸": 31165, + "Ġ{%": 31166, + "Ġglue": 31167, + "ĉerr": 31168, + "Ġendeav": 31169, + "notin": 31170, + "Ġprodueix": 31171, + "ĠWR": 31172, + "Ġwitnesses": 31173, + "ĠBh": 31174, + "ĠRank": 31175, + "during": 31176, + "åIJĦ大": 31177, + "ĠByte": 31178, + "Ġscheduling": 31179, + "åīįéĿ¢": 31180, + "Ġintuitive": 31181, + "зма": 31182, + "Ġobservable": 31183, + "ä½įçļĦ": 31184, + "trees": 31185, + "ĠÑģÑĬÑģÑĤеза": 31186, + "Ġger": 31187, + "ASS": 31188, + "mare": 31189, + "polit": 31190, + "Ġleaning": 31191, + "åĽŀåºĶ": 31192, + "Ġresistant": 31193, + "issance": 31194, + "brought": 31195, + "Ġbew": 31196, + "ĠGermans": 31197, + "åį³ä¾¿": 31198, + "глежда": 31199, + "ĠLC": 31200, + "Ġnegligible": 31201, + "ĠStorm": 31202, + "ĠConnecticut": 31203, + "least": 31204, + "ĠоÑģÑĬ": 31205, + "restricted": 31206, + "Ġkter": 31207, + "Fast": 31208, + "ĠBass": 31209, + "ÑĪнаÑĤа": 31210, + "éļIJæĤ£": 31211, + "applications": 31212, + "arming": 31213, + "ĠJohnny": 31214, + "Ġneighboring": 31215, + "Ġдиа": 31216, + "ĠMadison": 31217, + "George": 31218, + "Ġcouplings": 31219, + "è¾¹çļĦ": 31220, + "ĠCache": 31221, + "\\,{\\": 31222, + "ĠдиÑĢе": 31223, + "åĩºéŨ": 31224, + "Replace": 31225, + "etti": 31226, + "Ġknot": 31227, + "å¿ĥçģµ": 31228, + "ictionaries": 31229, + "å®¡æŁ¥": 31230, + "ĠEagle": 31231, + "Actual": 31232, + "ĠARE": 31233, + "Ġere": 31234, + "iop": 31235, + "Ġheights": 31236, + "cession": 31237, + "\"}": 31238, + "ĠAls": 31239, + "Ġidiom": 31240, + "Ġtraits": 31241, + "@@": 31242, + "奢": 31243, + "Ġavanç": 31244, + "ĠSwitzerland": 31245, + "numero": 31246, + "Ġا": 31247, + "rowning": 31248, + "Ġintegra": 31249, + "Ġlust": 31250, + "Ġcleans": 31251, + "ĠCompare": 31252, + "voice": 31253, + "è´º": 31254, + "带æĿ¥äºĨ": 31255, + "ĠгÑĢÑĥпи": 31256, + "Ġregulated": 31257, + "Ġobjection": 31258, + "Ġclerk": 31259, + "manifest": 31260, + "ä½łæĺ¯": 31261, + "zig": 31262, + "ĠиÑģ": 31263, + "armed": 31264, + "Ġstruggles": 31265, + "кин": 31266, + "ä¸Ģæī¹": 31267, + "WriteLine": 31268, + "Ġ'''": 31269, + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ": 31270, + "Ġgloves": 31271, + "ĠHIV": 31272, + "Acadèmia": 31273, + "è¤": 31274, + "ä¸Ģçľĭ": 31275, + "ĠÑģвеÑĤа": 31276, + "Unc": 31277, + "erie": 31278, + "ĠRichmond": 31279, + "Tri": 31280, + "kan": 31281, + "unlock": 31282, + "Ġcommenced": 31283, + "hours": 31284, + "mere": 31285, + "umper": 31286, + "ĠFocus": 31287, + "ĠTaiwan": 31288, + "Ġenlight": 31289, + ".\"[": 31290, + "'},": 31291, + "Ġwretched": 31292, + "inging": 31293, + "Ġsymbolic": 31294, + "Pages": 31295, + "Ġdissipation": 31296, + "Done": 31297, + "âĺ": 31298, + "ĠRestaurant": 31299, + "Acknowledg": 31300, + "amÃŃlia": 31301, + "Ġsteering": 31302, + "ĠZone": 31303, + "å¨ĩ": 31304, + "Ġpci": 31305, + "Ġsaturation": 31306, + "Ġdoubts": 31307, + "peak": 31308, + "nell": 31309, + "ä¸ĢåĿĹ": 31310, + "Ġmaintains": 31311, + "processor": 31312, + "çķĻè¨Ģ": 31313, + "Iss": 31314, + "ĠCU": 31315, + "ĠÐĶимиÑĤÑĬÑĢ": 31316, + "ĠMasters": 31317, + "rades": 31318, + "rones": 31319, + "æ¯ķä¸ļçĶŁ": 31320, + "Ġdwelling": 31321, + "ĉ&\\": 31322, + "glyphicon": 31323, + "Tasks": 31324, + "ĠCAP": 31325, + "ĠHoliday": 31326, + "å¤§èµĽ": 31327, + "terms": 31328, + "ĠMIN": 31329, + "ĠShipping": 31330, + "amy": 31331, + "Ġpaired": 31332, + "FileName": 31333, + "Ġvag": 31334, + "ĠTon": 31335, + "ĠGNOME": 31336, + "United": 31337, + "ĠFILE": 31338, + "Week": 31339, + "Ġmillors": 31340, + "owl": 31341, + "Ġtransparency": 31342, + ")){": 31343, + "Ġmemor": 31344, + "Ġdeclarar": 31345, + "ĠGoth": 31346, + "Ġmalgrat": 31347, + "ĠPuig": 31348, + "Ġог": 31349, + "Saturday": 31350, + "ercise": 31351, + "Sunday": 31352, + "ĠÄĮ": 31353, + "Ġexplanations": 31354, + "Cut": 31355, + "Ġlighted": 31356, + "æŁ¥çľĭ": 31357, + "Ġtomatoes": 31358, + "Ġadorn": 31359, + "Ġrebuild": 31360, + "onesos": 31361, + "Ġcommence": 31362, + "Ġhores": 31363, + "Ġthirst": 31364, + "ichte": 31365, + "мп": 31366, + "levance": 31367, + "åĽ½å®¶çļĦ": 31368, + "ĠCand": 31369, + "ultan": 31370, + "accés": 31371, + "Ġparsed": 31372, + "Ġdive": 31373, + "varrho": 31374, + "Ġfeder": 31375, + "Ġresize": 31376, + "Ġbrowsers": 31377, + "ĠакÑĤи": 31378, + "æ¼ł": 31379, + "Buf": 31380, + "riages": 31381, + "Actions": 31382, + "Safe": 31383, + "Ġpasta": 31384, + "ĠJobs": 31385, + "ĠlÃŃnies": 31386, + "beautiful": 31387, + "Rightarrow": 31388, + "Ġimpatient": 31389, + "Ġpacks": 31390, + "ÐłÐŀ": 31391, + "Ġblanket": 31392, + "NF": 31393, + "ĠTib": 31394, + "Ġmeditation": 31395, + "Ġportray": 31396, + "Ġblogging": 31397, + "Sant": 31398, + "Ġmales": 31399, + "èµģ": 31400, + "lost": 31401, + "åĪĨéħį": 31402, + "meaning": 31403, + "Ġblowing": 31404, + "ĠInside": 31405, + "åĶ¤": 31406, + "Ġlisteners": 31407, + "ç¿Ķ": 31408, + "Ġdevotion": 31409, + "ĠHeat": 31410, + "Ġascend": 31411, + "æĦŁåıĹåĪ°": 31412, + "ĠMeet": 31413, + "Recall": 31414, + "åĺĽ": 31415, + "/*!": 31416, + "ués": 31417, + "ĠIan": 31418, + "addClass": 31419, + "VT": 31420, + "Ġ\"[": 31421, + "ĠCastella": 31422, + "nett": 31423, + "ä»¿ä½Ľ": 31424, + "Ñĥни": 31425, + "getMessage": 31426, + "Ġmediante": 31427, + "Ġspinning": 31428, + "вани": 31429, + "suggest": 31430, + "Ġpassages": 31431, + "åĩºå¸Ń": 31432, + "Ġquantitative": 31433, + "Ġinclosa": 31434, + "racting": 31435, + "Ġcreep": 31436, + "elo": 31437, + "ensió": 31438, + "æīĢè°ĵçļĦ": 31439, + "ĠVac": 31440, + "å°ıåŃ©": 31441, + "Ġводо": 31442, + "Ġveterans": 31443, + "ĠNames": 31444, + "expensive": 31445, + "лиÑĤ": 31446, + "èĨı": 31447, + "ĠSyl": 31448, + "大éģĵ": 31449, + "Ġconsultant": 31450, + "Ġcolorful": 31451, + "Times": 31452, + "ĠKaz": 31453, + "ĠButter": 31454, + "æĦŁåĨĴ": 31455, + "Ġahora": 31456, + "Ġrally": 31457, + "enal": 31458, + "ËĪ": 31459, + "Ġmetaphor": 31460, + "++++": 31461, + "秣èµģ": 31462, + "Ġsubsets": 31463, + "ĠAuth": 31464, + "icky": 31465, + "ĠHomes": 31466, + "Ġrealization": 31467, + "ĠSolid": 31468, + "åİŁæĸĻ": 31469, + "rama": 31470, + "ä¾ł": 31471, + "转让": 31472, + "ĠsÃŃmbol": 31473, + "permission": 31474, + "кÑĢо": 31475, + "vell": 31476, + "çľĭæ³ķ": 31477, + "ĠMechan": 31478, + "èĥ½åIJ¦": 31479, + "ĠCanal": 31480, + "cción": 31481, + "Ġfarming": 31482, + "Ġmalaltia": 31483, + "æ»ŀ": 31484, + "ENABLE": 31485, + "Ġconcealed": 31486, + "Ġvinc": 31487, + "дей": 31488, + "Tok": 31489, + "æģĭçĪ±": 31490, + "Ġcognitive": 31491, + "bars": 31492, + "ĠSTE": 31493, + "urdy": 31494, + "cab": 31495, + "Ġbelieving": 31496, + "Ġpads": 31497, + "aky": 31498, + "Ġdeparted": 31499, + "Palmarès": 31500, + "nÃŃk": 31501, + "ĠCanon": 31502, + "ĠProbably": 31503, + "好çľĭ": 31504, + "Ġenz": 31505, + "ricane": 31506, + "labels": 31507, + "Ġtechnological": 31508, + "å¦Ĥæŀľæĺ¯": 31509, + "Ġcombust": 31510, + "Ġtrembling": 31511, + "èĤ¿çĺ¤": 31512, + "Ġobjet": 31513, + "ĠKrist": 31514, + "eek": 31515, + "羡": 31516, + "Ġchopped": 31517, + "Ġ\")": 31518, + "Ġexploit": 31519, + "_--": 31520, + "querySelector": 31521, + "Ġintentions": 31522, + "Music": 31523, + "Want": 31524, + "å½ĵåĪĿ": 31525, + "Ġwishing": 31526, + "延ç»Ń": 31527, + "è¾Ľèĭ¦": 31528, + "çŁ³æ²¹": 31529, + "èĴĻåı¤": 31530, + "Station": 31531, + "gas": 31532, + "Ġpares": 31533, + "åĭĥ": 31534, + "Ġpools": 31535, + "Ġpèr": 31536, + "ä¸įåıĬ": 31537, + "ĠHorn": 31538, + "Ġvolatile": 31539, + "ĠбÑĬдаÑĤ": 31540, + "ĠGriff": 31541, + "Ur": 31542, + "inada": 31543, + "Ġshelves": 31544, + "ä¸Ģåı¥": 31545, + "ensa": 31546, + "Ġethical": 31547, + "hammad": 31548, + "ĠÑģпи": 31549, + "Ġwi": 31550, + "Ġpasar": 31551, + "Ġethernet": 31552, + "Ġannot": 31553, + "Ġruins": 31554, + "ĠBirm": 31555, + "Sector": 31556, + "ingressos": 31557, + "ategoria": 31558, + "å°ijæķ°": 31559, + "åĬłçĽŁ": 31560, + "Ġreial": 31561, + "Ġlinea": 31562, + "customer": 31563, + "Ġmascles": 31564, + "Ġcorporations": 31565, + "Ġmembrane": 31566, + "Ġcrashes": 31567, + "Ġmica": 31568, + "Ġoracle": 31569, + "Ġindica": 31570, + "é«ĺäºİ": 31571, + "STEM": 31572, + "regex": 31573, + "monitor": 31574, + "头çļĦ": 31575, + "Ġdocumentary": 31576, + "Ġextensively": 31577, + "prising": 31578, + "Elect": 31579, + "ardi": 31580, + "runner": 31581, + "Ġgrains": 31582, + "ĠпеÑģен": 31583, + "ĠRGB": 31584, + "Ġscent": 31585, + "Ġgermans": 31586, + "ç«ĭåľº": 31587, + "QUI": 31588, + "acker": 31589, + "Ġtenant": 31590, + "åĬ©äºİ": 31591, + "Ġcanvis": 31592, + "Ġabbrevi": 31593, + "translate": 31594, + "Ġjut": 31595, + "ĠDebug": 31596, + "Ġtemperatura": 31597, + "æ£ĢéªĮ": 31598, + "ĠLaunch": 31599, + "Ġinterchange": 31600, + "ĠGuys": 31601, + "ĠSoul": 31602, + "subscribe": 31603, + "please": 31604, + "ĠParad": 31605, + "chem": 31606, + "iscop": 31607, + "Ġclicked": 31608, + "ollo": 31609, + "å®ļåĪ¶": 31610, + "ĠÐĿаÑĨиона": 31611, + "ccentric": 31612, + "Ġsupreme": 31613, + "Ġburnt": 31614, + "agona": 31615, + "ĠWere": 31616, + "Ġlime": 31617, + "ĠZel": 31618, + "ĠCatalina": 31619, + "ĠFermi": 31620, + "Ġsé": 31621, + "Ġformant": 31622, + "биÑı": 31623, + "Ġž": 31624, + "Ġhago": 31625, + "Ñĩена": 31626, + "çĽijæݧ": 31627, + "Ġvolta": 31628, + "ocur": 31629, + "acted": 31630, + "Ġdangers": 31631, + "è¿Ļ个æŶåĢĻ": 31632, + "Ġperturbations": 31633, + "gency": 31634, + "ĠDivisió": 31635, + "ĠKid": 31636, + "ÑĩÑĥ": 31637, + "Ġterrest": 31638, + "Assume": 31639, + "PROP": 31640, + "ĠGospel": 31641, + "Ġslim": 31642, + "objectiu": 31643, + "æĺ¾èijĹ": 31644, + "ĠOverall": 31645, + "Ġbean": 31646, + "Ġthreatening": 31647, + "解éĻ¤": 31648, + "ĠDeterm": 31649, + "ĠFurniture": 31650, + "Ġcylind": 31651, + "Ġangels": 31652, + "nobr": 31653, + "comments": 31654, + "çļĦè¿ĩç¨ĭä¸Ń": 31655, + "Ãłncies": 31656, + "æ³Ĭ": 31657, + "Ġambitious": 31658, + "åİļçļĦ": 31659, + "ĠLeo": 31660, + "asg": 31661, + "ĠLarry": 31662, + "paths": 31663, + "Equip": 31664, + "×ķ": 31665, + "Ġquestioned": 31666, + "Ġslightest": 31667, + "Sus": 31668, + "ĠObviously": 31669, + "ĠFlat": 31670, + "ĠЮжна": 31671, + "Ġorbits": 31672, + "ĠCiutat": 31673, + "Ġcrushed": 31674, + "éĻ¢æł¡": 31675, + "Ġharness": 31676, + "Ġeloqu": 31677, + "Frames": 31678, + "ĠChat": 31679, + "predict": 31680, + "ĠLanc": 31681, + "Ġstakeholders": 31682, + "Ġpresidential": 31683, + "å½°": 31684, + "åĮĸå¦Ĩ": 31685, + "Ġpursuing": 31686, + "ĠÐĿÑİ": 31687, + "Ġfoster": 31688, + "说è¿ĩ": 31689, + "Ġ>Ġ>": 31690, + "Ġrecalled": 31691, + "Ġphosph": 31692, + "Ġdecoration": 31693, + "ibl": 31694, + "éħ¬": 31695, + "versely": 31696, + "preced": 31697, + "Ġchampionship": 31698, + "Sat": 31699, + "choice": 31700, + "Images": 31701, + "hello": 31702, + "pathetic": 31703, + "iconductor": 31704, + "ĠTips": 31705, + "izens": 31706, + "lasting": 31707, + "SF": 31708, + "uu": 31709, + "æĦı大åĪ©": 31710, + "Ġcompounds": 31711, + "Ġresponding": 31712, + "Ġaging": 31713, + "dz": 31714, + "ĠSenator": 31715, + "bly": 31716, + "ĠпоÑģо": 31717, + "Ġguessing": 31718, + "luc": 31719, + "ĠSuperior": 31720, + "ĠLisa": 31721, + "Ġquicker": 31722, + "Ġadop": 31723, + "ÃŃns": 31724, + "rens": 31725, + "ĠFET": 31726, + "Ġllic": 31727, + "Ġlace": 31728, + "ĠPATH": 31729, + "åĬ¨çļĦ": 31730, + "mr": 31731, + "ĠWang": 31732, + "åĴĮå¹³": 31733, + "каз": 31734, + "ĠlÃŃnea": 31735, + "Ġdismissed": 31736, + "æľ¬ç§ij": 31737, + "Ġtailored": 31738, + "ÃŁ": 31739, + "æĪ¿äº§": 31740, + "Ġtoll": 31741, + "dar": 31742, + "è½°": 31743, + "dataset": 31744, + "Ġflames": 31745, + "ĠIlles": 31746, + "å®ļæľŁ": 31747, + "Ġthoughtful": 31748, + "Ġexhibited": 31749, + "Ġindústria": 31750, + "ĠDual": 31751, + "Ġpredicate": 31752, + "ĠMatrix": 31753, + "Fou": 31754, + "FALSE": 31755, + "Ġemit": 31756, + "okia": 31757, + "ĠMarina": 31758, + "Со": 31759, + "виÑģимо": 31760, + "Ġscorn": 31761, + "smart": 31762, + "ĠPapa": 31763, + "Ġfreed": 31764, + "BPACK": 31765, + "Ġperc": 31766, + "Priority": 31767, + "ailand": 31768, + "Think": 31769, + "Ġearthqu": 31770, + "åĢŁæ¬¾": 31771, + "ivari": 31772, + "William": 31773, + "isch": 31774, + "ĠнаÑĩин": 31775, + "Ġdeduce": 31776, + "Ġrested": 31777, + "mund": 31778, + "essel": 31779, + "æ°Ķ温": 31780, + "ĠRaw": 31781, + "Ġnegotiations": 31782, + "ĠÑĤвÑĬÑĢ": 31783, + "dens": 31784, + "ĠOVER": 31785, + "ĠHighway": 31786, + "éķ¿å®ī": 31787, + "Ġmonestir": 31788, + "ĠWayne": 31789, + "Ġunpack": 31790, + "Ġhabitants": 31791, + "ulos": 31792, + "glésies": 31793, + "Ġvanishes": 31794, + "ĠEPS": 31795, + "Ġmerged": 31796, + "hpp": 31797, + "Ġrealised": 31798, + "飦": 31799, + "primir": 31800, + "ĠDublin": 31801, + "Ġgenerar": 31802, + "Ġhatred": 31803, + "ĠNigeria": 31804, + "ĠPitts": 31805, + "Ġprey": 31806, + "ĠÑģкоÑĢо": 31807, + "aires": 31808, + "Ġsynthesis": 31809, + "кви": 31810, + "ĠGRE": 31811, + "whom": 31812, + "Ġunitary": 31813, + "Ġsank": 31814, + "Exit": 31815, + "leqslant": 31816, + "published": 31817, + "defaults": 31818, + "å¾ħéģĩ": 31819, + "temperature": 31820, + "ĠExtension": 31821, + "æľ¬è´¨": 31822, + "coat": 31823, + "çīĽå¥¶": 31824, + "Ġcaptures": 31825, + "ç¦ı建": 31826, + "HI": 31827, + "Ġcorporation": 31828, + "Ġmuntanyes": 31829, + "Ġpurge": 31830, + "èĮĥåĽ´åĨħ": 31831, + "Ġmarijuana": 31832, + "powered": 31833, + "Ġblaz": 31834, + "IDS": 31835, + "Ġvener": 31836, + "daughter": 31837, + "instead": 31838, + "Ġespai": 31839, + "ĠCapit": 31840, + "License": 31841, + "Ġnails": 31842, + "ĠEdd": 31843, + "Ġlowered": 31844, + "rique": 31845, + "\\,,": 31846, + "ĠGrup": 31847, + "$=": 31848, + "Ġov": 31849, + "Ġprosecut": 31850, + "ĠReader": 31851, + "Ġherbs": 31852, + "jected": 31853, + "Compet": 31854, + "åıĤè§Ĥ": 31855, + "Ġpocs": 31856, + "ĠLan": 31857, + "å¤ļä¹Ī": 31858, + "romium": 31859, + "åIJĵ": 31860, + "ĠDash": 31861, + "Ġinduces": 31862, + "ĠTB": 31863, + "Dependency": 31864, + "Aragó": 31865, + "Ġjavascript": 31866, + "Ġcareers": 31867, + "uren": 31868, + "iative": 31869, + "Ġinstability": 31870, + "ĠPalau": 31871, + "ĠWatson": 31872, + "Ġprizes": 31873, + "Ġexagger": 31874, + "Ġvigil": 31875, + "ĠCI": 31876, + "assy": 31877, + "Ġinfect": 31878, + "éĹ´çļĦ": 31879, + "Ġsignatures": 31880, + "Ġsie": 31881, + "Documents": 31882, + "etry": 31883, + "Ġformada": 31884, + "Ġintellect": 31885, + "quina": 31886, + "Ġworkforce": 31887, + "Ġphysicians": 31888, + "ENS": 31889, + "ĠÑĤÑĥ": 31890, + "ĠInform": 31891, + "Observer": 31892, + "æł¡éķ¿": 31893, + "Ġflee": 31894, + "Direction": 31895, + "food": 31896, + "atum": 31897, + "éd": 31898, + "Ġlinearly": 31899, + "Ġbored": 31900, + "ĠDress": 31901, + "æĽ´é«ĺ": 31902, + "殿": 31903, + "è´µçļĦ": 31904, + "Ġ(/": 31905, + "ÑģÑĤои": 31906, + "ĠÐľÐ°Ð½": 31907, + "ighting": 31908, + "Ġchmod": 31909, + "ĠпÑĢодÑĬлжава": 31910, + "idable": 31911, + "ĠFitz": 31912, + "checking": 31913, + "Ġмеди": 31914, + "Ġrisen": 31915, + "iats": 31916, + "åĽ½æ°ij": 31917, + "layers": 31918, + "onso": 31919, + "ĠACT": 31920, + "ullen": 31921, + "Ġamazed": 31922, + "producto": 31923, + "Break": 31924, + "Ġexquisite": 31925, + "Ġost": 31926, + "ondre": 31927, + "east": 31928, + "Ġjurisdiction": 31929, + "æ·±åĮĸ": 31930, + "Ġarchitectural": 31931, + "æĺ¯ä¸ºäºĨ": 31932, + "Ġza": 31933, + "seconds": 31934, + "ĠOpenLayers": 31935, + "è´¦æĪ·": 31936, + "詹": 31937, + "OH": 31938, + "LOB": 31939, + "Ġunchanged": 31940, + "Ġcommemor": 31941, + "Ġdisturbed": 31942, + "Ġheadphones": 31943, + "åıijçĶŁäºĨ": 31944, + "Had": 31945, + "ĠUSE": 31946, + "invoke": 31947, + "Ġcompetent": 31948, + "俱ä¹IJ": 31949, + "WIN": 31950, + "åºŀ": 31951, + "Ġexcurs": 31952, + "soon": 31953, + "|ĠĠ": 31954, + "ä¼IJ": 31955, + "Ġted": 31956, + "Ġbowed": 31957, + "Ġfolded": 31958, + "ĠEar": 31959, + "Assembly": 31960, + "Ġbishop": 31961, + "ĠGuinea": 31962, + "ĠSort": 31963, + "Ġenumer": 31964, + "Ġdespl": 31965, + "å°±å¼Ģå§ĭ": 31966, + "ð": 31967, + "Ġurge": 31968, + "Ġconserva": 31969, + "ĠCOUNT": 31970, + "cot": 31971, + "pure": 31972, + "ĠÑĦилми": 31973, + "forget": 31974, + "ĠCanadÃł": 31975, + "çļĦä½įç½®": 31976, + "Ġattorneys": 31977, + "ĠCatalana": 31978, + "Ġutf": 31979, + "~~~": 31980, + "æĢ»è£ģ": 31981, + "éľĩèį¡": 31982, + "ĠAstr": 31983, + "Ġknowledgeable": 31984, + "踩": 31985, + "doing": 31986, + "ĠCinc": 31987, + "England": 31988, + "æĻ´": 31989, + "Ġrides": 31990, + "æľĪçļĦ": 31991, + "ĠJustin": 31992, + "ĠArchitecture": 31993, + "ĠIsraeli": 31994, + "Ġdit": 31995, + "ÑģÑĤвиÑı": 31996, + "alsa": 31997, + "Ġcertainty": 31998, + "ĠShan": 31999 + }, + "merges": [ + "Ġ Ġ", + "Ġ t", + "Ġ a", + "i n", + "h e", + "r e", + "o n", + "e r", + "ĠĠ ĠĠ", + "Ġ s", + "a t", + "Ġt he", + "e n", + "o r", + "e s", + "Ġ c", + "Ġ w", + "i t", + "a n", + "i s", + "Ġ d", + "o u", + "Ġ p", + "a l", + "Ġ f", + "a r", + "Ġ o", + "Ġ b", + "e d", + "in g", + "Ġ m", + "Ġa n", + "l e", + "Ġt o", + "i on", + "i c", + "Ġ in", + "Ġo f", + "a s", + "e l", + "o m", + "Ġ l", + "Ġan d", + "Ġ h", + "Ġ Ð", + "Ġt h", + "en t", + "e t", + "Ġ n", + "s t", + "Ð °", + "ĠĠĠĠ ĠĠĠĠ", + "r o", + "c t", + "i l", + "ä ¸", + "Ġ re", + "Ġ e", + "o t", + "a m", + "Ġ I", + "i d", + "a c", + "Ġ g", + "a d", + "i m", + "u n", + "Ð ¸", + "i g", + "v e", + "o l", + "Ġd e", + "ĠĠ Ġ", + "u t", + "Ġ is", + "Ð µ", + "u s", + "Ġ y", + "Ð ¾", + "o w", + "Ġ T", + "Ġ S", + "Ñ Ĥ", + "l y", + "Ġf or", + "q u", + "v er", + "Ġb e", + "Ġ on", + "u r", + "a y", + "Ġ (", + "at ion", + "ç ļ", + "çļ Ħ", + "Ġ A", + "Ġ C", + "Ġy ou", + "u l", + "Ñ Ģ", + "ã Ģ", + "Ġth at", + "Ð ½", + "s e", + "c e", + "i r", + "it h", + "â Ģ", + "i f", + "Ġs t", + "Ġ v", + "ä º", + "o d", + "a b", + "Ġ \\", + "c h", + "Ġ it", + "Ġa l", + "a g", + "Ġ he", + "Ġ M", + "Ġc on", + "Ġw ith", + "t er", + "Ñ ģ", + "r i", + "e m", + "es t", + "Ġ $", + "Ġa s", + "a p", + "- -", + "Ġ P", + "Ġw h", + "u m", + "o s", + "re s", + "Ġ B", + "Ġp ro", + "is t", + "h t", + "an d", + "Ġc om", + "Ġs e", + "at e", + "p e", + "il l", + "es s", + "æ ľ", + "t h", + "u p", + "Ġw e", + "å ı", + "he r", + "ãĢ Ĥ", + "ä »", + "k e", + "an t", + "r a", + "l d", + "Ġ un", + "o c", + "Ġ =", + "ou t", + "er s", + "en d", + "Ġ or", + "Ġe x", + "Ð »", + "Ġ L", + "Ġ D", + "Ġ H", + "ou r", + "Ġ F", + "Ġa re", + "å ¤", + "o re", + "r om", + "Ġh a", + "Ġ W", + "Ð ²", + "o p", + "n d", + "Ġ E", + "Ġ r", + "ĠT he", + "Ġa t", + "i v", + "ar t", + "Ġ R", + "å ħ", + "n t", + "al l", + "ĠĠĠĠ ĠĠĠ", + "Ġth is", + "Ġw as", + "or t", + "Ġ \"", + "Ġn ot", + "Ġn e", + "è ¿", + "a in", + "Ġ qu", + "Ġl a", + "ig ht", + "æ ĺ", + "p l", + "Ġ us", + "ct ion", + "Ġ G", + "u re", + "t e", + "å ®", + "Ġ en", + "Ġb y", + "u b", + "ĉ ĉ", + "Ġ i", + "Ġ N", + "p t", + "Ġha ve", + "Ð º", + "it y", + "Ġ el", + "Ġs h", + "as s", + "m ent", + "å Ī", + "am e", + "ou ld", + "Ġf rom", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "ä ½", + "i es", + ") ;", + "å ľ", + "{ \\", + "in e", + "i a", + "Ġc an", + "å IJ", + "u st", + "u d", + "âĢ Ļ", + "el l", + "i ve", + "Ð ´", + "ag e", + "g e", + "ar d", + "o g", + "Ġc h", + "Ġc l", + "om e", + "i al", + "e ct", + "u e", + "ac k", + "ä ¹", + "æĺ ¯", + "ä¸ Ģ", + "re d", + "o st", + "Ġ O", + "Ġ {", + "ab le", + "at h", + "æ Ī", + "Ġp er", + "ic h", + "in d", + "ç Ķ", + "i p", + "Ġ le", + "å °", + "Ġyou r", + "Ġal l", + "i e", + "Ġ j", + "p er", + "Ġm e", + ". .", + "å Ĭ", + "Ġt r", + "a v", + "Ġ k", + "i z", + "x t", + "an s", + "ul t", + "Ġd o", + "ãĢ ģ", + "c l", + "f f", + "as t", + "r ou", + "ç »", + "Ġw ill", + "o k", + "Ġw he", + "id e", + "Ġa b", + "Ġb ut", + "T he", + "it e", + "Ġw or", + "æ Ĺ", + "à ³", + "i b", + "ĠÐ ½", + "/ /", + "a re", + "Ġs o", + "a k", + "p ort", + "or m", + "ion s", + "Ġ Ñģ", + "Ñ ı", + "Ġ if", + "_ {", + "c on", + "Ġ J", + "c c", + "Ġ -", + "Ġp l", + "in t", + "ä¸ į", + "å Ľ", + "Ġ *", + "Ġ &", + "Ġ U", + "ic e", + "Ð ¼", + "t o", + "Ġ up", + "Ġd el", + "d er", + "d e", + "ac e", + "Ġh is", + "à ©", + "Ġwh ich", + "è ¯", + "as e", + "Ġcom p", + "Ñ Ĭ", + "im e", + "on e", + "on g", + "Ġre s", + "al ly", + "æ ĸ", + "ä ¼", + "Ġm y", + "Ġa d", + "Ñ ĥ", + "н и", + "i le", + "å ¹", + "t her", + "Ġa m", + "æľ ī", + "æ Ŀ", + "Ð ·", + "åľ ¨", + "e g", + "Ġg o", + "Ġ }", + "at ed", + "äº Ĩ", + "å Ń", + "ĠÐ ¿", + "Ġн а", + "ig n", + "a ct", + "Ġ im", + "å į", + "ou s", + "-- --", + "ÑĢ а", + "ur n", + "äº º", + "Ġa p", + "Ġ V", + ") .", + "Ġon e", + "Ġcon t", + "Ġ out", + "re f", + "g h", + "n e", + "è ®", + "i re", + "Ġn o", + "Ġh as", + "ver y", + "Ġl o", + "Ġqu e", + "l l", + "æ ī", + "i ó", + "an ce", + "ÑĤ о", + "a ke", + "t r", + "ÑĤ а", + ") ,", + "Ġ '", + "à Ń", + "Ġthe y", + "e p", + "ĠĠĠĠĠĠĠĠ ĠĠĠ", + "o b", + "en s", + "Ġh ad", + "f t", + "m ath", + "å ¸", + "ar y", + "å ¾", + "Ġm an", + "e re", + "Ġa r", + "p ro", + "t he", + "an g", + "r y", + "s o", + "à ł", + "ĠT h", + "d u", + "Ġs u", + "a il", + "å ·", + "é ĩ", + "ac h", + "ĠI n", + "i x", + "è Ģ", + "Ġan y", + "ĥ ½", + "c om", + "Ġm ore", + "o se", + "f orm", + "or d", + "p h", + "Ġd is", + "Ġp art", + "å ¼", + "Ġs er", + "it ion", + "b er", + "å ĩ", + "res s", + "Ġthe ir", + "Ġd es", + "ĠÐ ¸", + "e ar", + "g et", + "ow n", + "k s", + "Ġhe r", + "Ġ es", + "ent s", + "ĠÐ ²", + "or s", + "Ð ³", + "å ¥", + "Ġl i", + "p le", + "ation s", + "Ġ K", + "ou nt", + "å Ĩ", + "à ¨", + "en ce", + "Ð ¿", + "ÑĤ е", + "н а", + "ou nd", + "ro w", + "Ñ ĩ", + "в а", + "el y", + "r u", + "ĠĠĠĠ Ġ", + "Ġs p", + "m a", + "Ġs a", + "od e", + "ic al", + "} \\", + "è ¡", + "Ġs ome", + "å º", + "Ġw ould", + "Ġthe re", + "* *", + "é Ģ", + "å¤ §", + "Ġf e", + "Ġo ther", + "at a", + "Ġg et", + "å ¯", + "Ġwhe n", + "ÑĢ е", + "Ġs c", + "j ect", + "re e", + "Ġe v", + "Ġne w", + "Ġcl ass", + "ver s", + "ä¸ Ń", + "ĠÐ ¾", + "Ġt ime", + "ÑĢ и", + "Ġthe m", + "Ġ our", + "Ġ Y", + "ç Ľ", + "ic k", + "y pe", + "I n", + "er t", + "l ow", + "ä¸ º", + "Ġwe re", + "Ġwh o", + "å Į", + "s p", + "è µ", + "é s", + "re at", + "= =", + "el f", + "Ġab out", + "è¿ Ļ", + "> <", + "l o", + "âĢ ľ", + "ing s", + "t urn", + "Ġp r", + "e x", + "Ð ±", + "in k", + "ay s", + "ä¸ ª", + "or y", + "è §", + "en er", + "Ġbe en", + "Ġt e", + "Ġa g", + "æ Ĭ", + "} }", + "è ´", + "ĠI t", + "l i", + "n c", + "l ic", + "æ ķ", + "Ġ ro", + "c k", + "e f", + "ä¸ Ĭ", + "ar i", + "ç İ", + "å ¿", + "t a", + "Ġv a", + "te xt", + "æ ł", + "Ġo b", + "Ġ [", + "( )", + "a us", + "æ Ģ", + "Ġf un", + "Ġwor k", + "Ġk n", + "w e", + "p s", + "u al", + "å Ĵ", + "Ñģ ÑĤ", + "Ġli ke", + "Ġs he", + "Ġal so", + "Ġp re", + "è ĩ", + "Ġof f", + "ol d", + "is h", + "Ġs et", + "Ġb o", + "ri b", + "w o", + "v el", + "æĹ ¶", + "ä» ¥", + "æĪ ij", + "Ġth an", + "Ġin st", + "Ġo ver", + "Ġwh at", + "Ġh im", + "il d", + "Ġ est", + "ar k", + "ir st", + "et h", + "an c", + "on t", + "f r", + "it t", + "if f", + "ç §", + "e c", + "s c", + "oc k", + "¦ ģ", + "å İ", + "he d", + "Ġs pe", + "o v", + "l es", + "ĠĠĠĠ <", + "on s", + ". \"", + "g r", + "Ġin to", + "Ġv al", + "å ±", + "åĴ Į", + "y s", + "ter n", + "æ Ń", + "Ġon ly", + "Ñ Ĩ", + "âĢ ĵ", + "è ¦ģ", + "Ġ /", + "er m", + "Ġit s", + "é Ŀ", + "ul l", + "æ °", + "Ġs up", + "ĠS t", + "en c", + "ĠÐ º", + "o ve", + "é Ĺ", + "ç ī", + "( \\", + "ĠC h", + "Ġa cc", + "u g", + "if ic", + "Ġc ol", + "æĿ ¥", + "al s", + "н о", + "le ct", + "Ġg r", + "y st", + "å ½", + "p ut", + "æ Ķ", + "åĪ °", + "ç ľ", + "f ter", + "ad e", + "ç º", + "ä¼ ļ", + "çĶ Ł", + "æ ²", + "s s", + "eg in", + "Ġne ed", + "å¹ ´", + "Ġcom m", + "Ġthe n", + "Ġus e", + "å ij", + "é Ļ", + "å° ±", + "л и", + "h at", + "p os", + "iz e", + "Ġ |", + "Ġh ow", + "è ĥ½", + "ï ¼", + "ĠÐ ´", + "n g", + "Ġ +", + "b egin", + "æ ĥ", + "Ġj ust", + "Ð ¹", + "\" ,", + "è ½", + "b o", + "an y", + "er v", + "Ġm od", + "Ñģ к", + "Ġad d", + "ap p", + "ic s", + "ie w", + "b le", + "o int", + "yst em", + "æ ³", + "ic t", + "æ ¯", + "Ġre turn", + "f ig", + "e qu", + "Ġm ay", + "âĢ Ŀ", + "Ġde f", + "Ġb et", + "is s", + "Ġc o", + "pe ct", + "er r", + "à ²", + "Ġt wo", + "at es", + "n ing", + "Ġcon s", + "at er", + "Ġp os", + "Ġ ent", + "Ġre c", + "i an", + "åĽ ½", + "Ġsa id", + "o f", + "cl ud", + "Ġe m", + "Ġb l", + "ub lic", + "t y", + "ul ar", + "ĠTh is", + "ĠW e", + "c ess", + "åı ¯", + "Ġkn ow", + "ou gh", + "Ġp e", + "E R", + "i ent", + "p r", + "is e", + "Ġy ear", + "Ġd iff", + "pt ion", + "Ġas s", + "ac ió", + "Ġ <", + "ig h", + "un t", + "Ġse e", + "Ġfor m", + "Ġ .", + "Ġf irst", + "Ġsh ould", + "ä¹ Ł", + "Ġf in", + "Ġc ould", + "е н", + "åĩ º", + "_ {\\", + "l ine", + "ĠÐ µ", + "aus e", + "ot h", + "r ight", + "ĠĠĠĠ ĠĠ", + "rou nd", + "Ġo p", + "æ ŀ", + "ab el", + "s h", + "Ġl es", + "---- ----", + "at s", + "æ İ", + "Ġre g", + "it s", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "Ġa ct", + "Ġun a", + "i el", + "c al", + "ib le", + "i ed", + "ĠÐ ³", + "Ġbe c", + "an ge", + "ä ¿", + "ÑĢ о", + "am b", + "å¤ ļ", + "p ar", + "} {", + "Ġb ack", + "ĠH e", + "ad a", + "Ġam b", + "Ġwhe re", + "w n", + "Ġlo ok", + "Ġthe se", + "åı ij", + "Ġ //", + "Ġ _", + "å¯ ¹", + "Ġf ol", + "å ¦", + "u ch", + "ä» ¬", + "ĉĉ ĉĉ", + "} ,", + "Ġ very", + "our ce", + "T h", + "çĶ ¨", + "Ġ ke", + ", \"", + "Ġre l", + "f ul", + "å® ¶", + "r ing", + "on d", + "Ġun der", + "Ð ¶", + "Ġre m", + "Ġpro v", + "Ġm ost", + "è ¾", + "æ ĭ", + "Ġs ub", + "Ġin t", + "Ġm ake", + "a x", + "æ Ħ", + "åIJ İ", + "ĠĠĠĠĠĠĠĠ <", + "i ous", + "æ µ", + "he n", + "rou gh", + "c re", + "d iv", + "Ġsu ch", + "iel d", + "èĩ ª", + "i o", + "s et", + "Ġp ar", + "Ġd on", + "æĪ IJ", + "Ġs im", + "Ġp h", + "o od", + "Ġw ant", + "fr ac", + "é ¢", + "å ĵ", + "è Ĥ", + "è¡ Į", + "Ġc ur", + "Ġо ÑĤ", + "at ing", + "Ġe very", + "Ġn ow", + "ç Ń", + "Ġc or", + "Ġcon st", + "Ġw ell", + "æ ¬", + "å ī", + "ri v", + "im es", + "ar g", + "ĠÐ ·", + "Ġw ay", + "r it", + "o y", + "r m", + "ä» ĸ", + "a ve", + "ä½ ľ", + "ä¸ ļ", + "ers on", + "Ġtr ans", + "op le", + "u es", + "ä¸ ĭ", + "I N", + "Ġfun ction", + "ot her", + "åŃ ¦", + "ç IJ", + "Ġs m", + "le t", + ": :", + "Ġg ener", + "re n", + "Ġa fter", + "Ġb u", + "u res", + "æ Į", + "ic a", + "res ent", + "äº İ", + "Ġ @", + "и Ñı", + "ow er", + "é ĺ", + "or k", + "Ġat t", + "ut ion", + "ment s", + "Ġfol low", + "s elf", + "Ġn um", + "Ġth rough", + "' ,", + "åľ °", + "e q", + "è¿ ĩ", + "re ad", + "c ite", + "Ġd ata", + "Ġdiff ere", + "Ġ :", + "re nt", + "Ġin ter", + "Ġп о", + "( \"", + "Ġs ol", + "ĠÐ ¼", + "ĠU n", + "Ġhe l", + " ł", + "S t", + ".. .", + "åŃ IJ", + "Ġpro du", + "Ġgo od", + "l abel", + "w ard", + "Ġn ame", + "å ģ", + "Ñ Ħ", + "il y", + "l ed", + "Ġd id", + "Ġdo es", + "he s", + "ra ct", + "qu est", + "ic es", + "Ġus ed", + "é ĥ½", + "Ġd own", + "} )", + "Ġ end", + "a ir", + "en g", + "Ġg reat", + "r ay", + "Ġres ult", + "e v", + "pl ic", + "in s", + "Ġl ong", + "Ġз а", + "Ġev en", + "at ch", + "O N", + "math b", + "u c", + "if e", + "il ity", + "Ġg u", + "Ġus ing", + "Ġpe ople", + "Ġs ame", + "Ġel s", + "åĬ ¨", + "é ģ", + "å¥ ½", + "at ive", + "et a", + "f ore", + "r ap", + "t ing", + "y m", + "ĠY ou", + "çİ °", + "id ent", + "as h", + "Ġd et", + "o ol", + "æĸ ¹", + "Ġa c", + "n ot", + "Ġm uch", + "Ġc re", + "n ce", + "t s", + "at or", + "л е", + "Ġp ublic", + "ĠI f", + "Ġre ad", + "Ġf ind", + "ar s", + "Ġser v", + "Ġf l", + "Ġc ap", + "ar ch", + "am ent", + "Ġc all", + "в е", + "æ ¸", + "Ġhe re", + "v al", + "ç Ĥ", + "к а", + "åĪ Ĩ", + "it ies", + "el s", + "am p", + "æ ±", + "er n", + "( );", + "Ġsh ow", + "Ġh and", + "ag es", + "æ ´", + "ire ct", + "o ver", + "Ġspe c", + "л а", + "Ġd ist", + "in ce", + "èĢ Į", + "e w", + "ĠA nd", + "ÑĤ и", + "Ġag ain", + "Ġex t", + "å° ı", + "Ġman y", + "b re", + "m l", + "c ol", + "Ġs ystem", + ".. /", + "Ġe ach", + "é «", + "g ht", + "m er", + "Ġbe fore", + "ç» ı", + "Ñ ī", + "Ġl oc", + "Ġre f", + "i er", + "Ġr ight", + "Ġst art", + "é« ĺ", + "as ed", + "ç «", + "å¾ Ĺ", + "à §", + "Ġc ar", + "ess age", + "Ġin v", + "n er", + "b e", + "in ed", + "д и", + "Ġhel p", + "å¿ ĥ", + "ri pt", + "Ġm in", + "å Ł", + "è ·", + "æ Ľ", + "Ġl ine", + "le ft", + "é ķ", + "d ay", + "Ġe ff", + "e ver", + "éĿ ¢", + "Ġt ra", + "d a", + "ä ¾", + "ä¹ ĭ", + "ĠÑģ е", + "we en", + "Ñ ħ", + "er a", + "at her", + "Ġb el", + "è¯ ´", + "ĠC om", + "ä½ ł", + "Ġbec ause", + "R E", + "em ent", + "Ġ x", + "Ġo wn", + "Ġth ink", + "ak ing", + "W e", + "ç ½", + "è¿ ĺ", + "ĠP ro", + "Ġp ol", + "I t", + "ç Ŀ", + "ol og", + "в о", + "at ic", + "math cal", + "å¼ Ģ", + "at ure", + "å· ¥", + "h o", + "Ġin clud", + "ĠA l", + "A T", + "å¤ ©", + "å Ģ", + "e ad", + "Ġm ade", + "å® ŀ", + "t t", + "æĸ °", + "m s", + "Ġst r", + "p end", + "Ġc he", + "Ġr un", + "åĬ Ľ", + "w ay", + ", \\", + "Ġa ut", + "m an", + "å¦ Ĥ", + "con d", + "Ġ= Ġ", + "o id", + "Ġp oint", + "id er", + "ut e", + "Ġf r", + "} .", + "l a", + "Ġg iv", + "t on", + "al e", + "åħ ¬", + "t ain", + "er y", + "P ro", + "ru ct", + "S T", + "== ==", + "Ġbe ing", + "itt le", + "Ġval ue", + "Ġbet ween", + "an k", + ") )", + "equ ation", + "_ _", + "æľ Ģ", + "Ġ X", + "åħ ¨", + "Ġre p", + "Ġdiffere nt", + "Ġt ype", + "in es", + "Ġp ass", + "ant s", + "å¾ Ī", + "ç ¾", + "å¸ Ĥ", + "Ġde c", + "è¿ Ľ", + "Ġc ase", + "Ġh igh", + "Ġth ose", + "Ġm on", + "Ġf am", + "n ess", + "ot s", + "f or", + "Ġ ed", + "tr ing", + "Ġf il", + "è ¶", + "i qu", + "Ġs ign", + "ĠE l", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠB ut", + "r ic", + "Ġwh ile", + "Ġex per", + "æĹ ¥", + "p on", + "Ġs ay", + "åī į", + "p ress", + "ction s", + "form ation", + "rou p", + "Ġin te", + "ÑĬ ÑĢ", + "ç ®", + "Ġ és", + "Ġa v", + "Ġp erson", + "Ġd ay", + "ĠF or", + "E x", + "çIJ Ĩ", + "Ġv ari", + "eth od", + "Ġd i", + "u ally", + "Ġ #", + "am es", + "Ġf ound", + "( '", + "é ĥ", + "å® ļ", + "åIJ Į", + "am ple", + "м а", + "æ³ ķ", + "** **", + "m e", + "ä½ ĵ", + "t il", + "ou se", + "Ġe qu", + "Ġst ud", + "d d", + "Ġpro ble", + "m in", + "ç ¬", + "v ent", + "c es", + "Ġl ist", + "ç Ł", + "Ġs om", + "æ Ļ", + "Ġt ake", + "A R", + "n ame", + "è½ ¦", + "C on", + "Ġm ust", + "he re", + "it ed", + "çŃ ī", + "Ġpl ay", + "} (", + "çľ ĭ", + "ç Ħ", + "è °", + "L E", + "od y", + "л о", + "re st", + "Ġin d", + "Ġpos s", + "sp an", + "et s", + "Ġ Q", + "Ġha v", + "un d", + "ur ing", + "Ġyear s", + "æī Ģ", + "åħ ¶", + "Ġ| |", + "de f", + "д а", + "it at", + "Ġl ast", + "Ġch ar", + "Ġinst all", + "Ġre qu", + "in ess", + "Th is", + "l ess", + "l and", + "é £", + "th is", + "Ġb oth", + "} _", + "ou ght", + "ĠA r", + "p re", + "Ġs ur", + "и ÑĤе", + "Ġb r", + "Ġ err", + "unt u", + "ĠĠĠĠĠĠĠĠ Ġ", + "Ġm at", + "Ġl ittle", + "a ut", + "in c", + "ion al", + "s ub", + "çĤ ¹", + "Ġre al", + "g an", + "Ġst ill", + "Ġ --", + "i red", + "um ent", + "in al", + "w ork", + "en se", + "éķ ¿", + "å Ŀ", + "н е", + "Ġnum ber", + "èĢ ħ", + "v es", + "ce pt", + "Ġb est", + "äº ĭ", + "Ġre st", + "à º", + "id th", + "iz ed", + "ä¸Ģ 个", + "ind ow", + "Ġb us", + "Ġdis c", + "é Ĥ", + "Ñ Ī", + "ä¸ İ", + "æ ı", + "al k", + "Ġdel s", + "è nc", + ": //", + "ation al", + "c ent", + "æľ º", + "ph a", + "ĠÐ ¡", + "p art", + "æĥ ħ", + "p ly", + "Ġle t", + "åIJ Ī", + "e e", + "Ġin f", + "Ñĩ е", + "av a", + "i ence", + "Ġm em", + "Ġt erm", + "ĠA n", + "æľ ¬", + "к о", + "ir c", + "è Ĭ", + "b l", + "c ed", + "äº §", + "Ġ* /", + "Ġcur rent", + "çĿ Ģ", + "gr am", + "b r", + "Ġto o", + "çĦ ¶", + "à ¡", + "Ġg l", + "Ġv ol", + "éĹ ´", + "ä¸ »", + "é Ľ", + "Ġw r", + "è ī", + "as on", + "æľ Ī", + "Ġpart ic", + "Ġim port", + "Ġm ight", + "ar n", + "æ į", + "Ġin s", + "æ² ¡", + "é ¡", + "Ġwith out", + "a red", + "a ult", + "Ġv is", + "Ġ z", + "å½ ĵ", + "# #", + "éĩ Į", + " ·", + "Ġtr y", + "æ ¶", + "b ar", + "å §", + "ot e", + "éĥ ¨", + "é ļ", + "ĠL a", + "Ġc ount", + "Ġt em", + "s er", + "Ġп ÑĢе", + "w ays", + "al pha", + "in a", + "г а", + "ad es", + "O R", + "pe c", + "Ġpro cess", + "åľ º", + "t ic", + "åĬ ł", + "C om", + "ä½ Ĩ", + "ĠÐ ±", + "ç Ī", + "a j", + "Ġl l", + "Ġe le", + "Ġo ld", + "Ġd irect", + "Ġf act", + "vel op", + "t en", + "ter s", + "ro p", + "Ġh ome", + "ä¹ Ī", + "Ġop en", + "v en", + "Ġ ve", + "ĠH ow", + "ÑĨ и", + "Ġt est", + "Ġl ife", + "æĢ §", + "ç ¨", + "åĽ ł", + "Ġк о", + "ĠA s", + "Ġwor d", + "åĮ ĸ", + "Ġap pro", + "éĩ į", + "e xt", + "eth ing", + "E N", + "c o", + "åĵ ģ", + "t d", + "Ġm en", + "N ame", + "an n", + "Ġm ed", + "is hed", + "åħ ³", + "Ġc le", + "A L", + "Ġse em", + "or n", + "ro l", + "ç ¤", + "Ġin formation", + "ĉĉ ĉ", + "a z", + "éģ ĵ", + "Ġsm all", + "Ġf ile", + "i or", + "èµ ·", + ") \\", + "ri ed", + "Ġp ost", + "ro ss", + "æ¯ Ķ", + "ad d", + "oc i", + "er g", + "as es", + "ar m", + "a u", + "ri end", + "lo ad", + "è ģ", + "ak es", + "o ot", + ") :", + "v ed", + "Ġdes c", + "ĠS h", + "åĨ ħ", + "b s", + "y p", + "ht ml", + "in u", + "Ġs elf", + "th ing", + "Ġc ent", + "m od", + "e k", + "Ġqu est", + ". ,", + "v a", + "Ġc our", + "ç§ į", + "æĽ ´", + "el ta", + "al se", + "ar c", + "amb da", + "I D", + "p i", + "Ġcon f", + "Ġpl ace", + "../ ../", + "iv es", + "éĢ ļ", + "ust om", + "id es", + "é Ķ", + "g g", + "æĪij 们", + "Ġm és", + "Ġ ra", + "le ase", + "Ġdes ign", + "w are", + "Ġp ower", + "ĠC on", + "åº ¦", + "Ġpro per", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "åİ »", + "Ġp resent", + "v iew", + "æŀ ľ", + "ĠÐ °", + "n ect", + "ĠÐ Ł", + "I d", + "Ġor der", + "å »", + "s um", + "ne w", + "Ġe as", + "tr ans", + "Ġh app", + "å· ±", + "Ġc r", + "Ġwor ld", + "re m", + "{ -", + "в и", + "ĉ }", + "I f", + "å° Ĩ", + "ç ©", + "æ° ´", + "at ur", + "ç Ļ", + "Ġth ree", + "æĹ ł", + "Ġsup port", + "i vers", + "ç¾ İ", + "ĠF r", + "ar ge", + "Ġfe w", + "ĠC l", + "ert ain", + "Ġse cond", + "Ġcom e", + "Ġne ver", + "Ġch ild", + "cc ess", + "Ġto p", + "c ur", + "am ma", + "Ġgo ing", + "éĤ £", + "Ġsom ething", + "æ Ł", + "åı¯ 以", + "E l", + "ap t", + "S E", + "um n", + "l ation", + "e red", + "Ġo per", + "us s", + "al th", + "am et", + "b ack", + "èĩª å·±", + "v ar", + "å ¢", + "ar ly", + "Ġfollow ing", + "Ġ ide", + "åħ ¥", + "ver t", + "Ġb re", + "T o", + "vers ion", + "p ed", + "im port", + "al ity", + "å¸ ¸", + "if y", + "Ġs l", + "æī ĭ", + "Ġ et", + "åĮ º", + "re am", + "rap h", + "æł ·", + "Ġan other", + "_ \\", + "s ource", + "Ġde v", + "Ġhe ad", + "enc y", + "Ġ\\ \\", + "es c", + "ç ķ", + "Ġre ally", + "i k", + "Ġh ref", + "C h", + "ĠR e", + "Ġtr ue", + "Ġpro f", + "æĸ ĩ", + "T ype", + "æ ģ", + "Ġs k", + "ist s", + "å¤ ĸ", + "æ¬ ¡", + "ä¸ ī", + "ä½ į", + "re g", + "it or", + "Ġeff ect", + "ç ³", + "Ġprodu ct", + "y n", + "A N", + "m u", + "Ġt urn", + "ç Ĺ", + "Ġ >", + "æĦ ı", + "é ħ", + "Ġo pt", + "д е", + "Ġp ur", + "è ¢", + "ĠThe y", + "b y", + "Ġp ut", + "Ġal ways", + "äº Ľ", + "Ñģк и", + "w h", + "Ġs ince", + "æĺ İ", + "é ľ", + "ç ĸ", + "? \"", + "re en", + "éĩ ı", + "Ġm ain", + "ä» İ", + "Ġs w", + "âĢ Ķ", + "ot t", + "g er", + "çĽ ¸", + "A r", + "Ġst ate", + "âĢ ŀ", + "Ġel se", + "com m", + "Ġ Z", + "ĠS e", + "Ġa round", + "as k", + "Ġ id", + "Ġin de", + "ĠD e", + "F or", + "at t", + "s on", + "are nt", + "C l", + "ни Ñı", + "d ate", + "Ġm ark", + "è º", + "p or", + "ch ool", + "ï¼ Ľ", + "is m", + "i en", + "æı IJ", + "mathb b", + "s w", + "in ing", + "ĠN ew", + "m essage", + "Ġall ow", + "y le", + "Ġm et", + "Ġth ings", + "it em", + "it z", + "-------- --------", + "S tring", + "st r", + "Ġbet ter", + "Ġmod el", + "st and", + "Ġf ield", + "æĥ ³", + "Ġle ad", + "o le", + "o pe", + "m ed", + "ch n", + "Ġgiv en", + "A l", + "ro ll", + "er ing", + "Ġad v", + "l og", + "iz ation", + "ra w", + "ç¬ ¬", + "ig ma", + "Ġst and", + "Ġcon d", + "} _{", + "if ied", + "Ġpro gram", + "м е", + "æľ Ł", + "Ġde velop", + "pl ay", + "eng th", + "Ġs ure", + "è IJ", + "Ġ ,", + "Ġm ethod", + "èµ Ħ", + "Y ou", + "l oc", + "Ġ= >", + "ep s", + "è ĥ", + "Ġme an", + "Ġse g", + "Ġto t", + "Ġc are", + "a h", + "it her", + "Ġup on", + "Ġproble m", + "ä¿ Ŀ", + "Ġv an", + "Ġp at", + "Ġp res", + "ĠThe re", + "ç ĥ", + "ĠÐ ļ", + "Ġh ard", + "om en", + "R es", + "ce ption", + "ĠE x", + "os s", + "C T", + "Ġ !", + "åº Ķ", + "п о", + "è ĭ", + "c ul", + "ĠS o", + "Ġи з", + "Ġas k", + "åģ ļ", + "ç ¥", + "Ġs ing", + "ĉ \\", + "ç ²", + "Ġf ree", + "u le", + "Ġs it", + "o h", + "s erv", + "r al", + "Ġap pe", + "è Ħ", + "Ġg ive", + "ent ial", + "æ´ »", + "Ġbus iness", + "çĶ µ", + "ail able", + "èº «", + "it al", + "con t", + "Ġper form", + "Ġne xt", + "é Ĵ", + "r on", + "Ġw on", + "Ġle ft", + "I T", + "ct or", + "h or", + "c ode", + "ht t", + "Ġl og", + "A s", + "è® ©", + "Ġlo ve", + "Ġpr im", + "ĠI s", + "ĠĠĠĠĠĠ <", + "at ely", + "ĠS he", + "Ġke y", + "å± ķ", + "æŃ ¤", + "ri a", + "Ġbo ok", + "\" /", + "re turn", + "iv ely", + "Ġf riend", + "c he", + "æĦ Ł", + "åı ª", + "ĠT r", + "Ġs ent", + "Ġex pl", + "å¹ ³", + "Ġt en", + "м и", + "e le", + "Ġg ot", + "t ype", + "u ff", + "o ok", + "å¹ ¶", + "çĽ ®", + "Ġl ight", + "an e", + "éĩ ij", + "ĠT o", + "Ġob ject", + "ï¼ ģ", + "S S", + "Ġex pect", + "ate g", + "b ol", + "as ter", + "å» º", + "or g", + "çī ©", + "å ĸ", + "Ġn on", + "it ions", + "b f", + "Ġis s", + "ĠĠ <", + "ac he", + "Ġc ou", + "w idth", + "al ign", + "å ķ", + "e y", + "ĠW h", + "us h", + "riv ate", + "Ġc al", + "V al", + "ç ģ", + "cl ass", + "æ ·", + "ab ly", + "Ġerr or", + "Ġinte rest", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠ<", + "Ġcomp le", + "æ° ij", + "Ġch o", + "ĠM r", + "ph i", + "åĬ ¡", + "Ġposs ible", + "Ġ )", + "se ction", + "ap s", + "Ġf ull", + "mathb f", + "Ġex ample", + "it le", + "é ©", + "er c", + "æŃ £", + "åı Ĭ", + "ain s", + "è¢ «", + "没 æľī", + "m et", + "Ġm ar", + "Ġfe el", + "ç ´", + "Ġth ought", + "è¡ ¨", + "åIJ į", + "ç ±", + "A n", + "å® ī", + "f e", + "h ip", + "ï¼ Ł", + "Ġcons ider", + "l ish", + "et y", + "ri es", + "Ġ `", + "l ambda", + "è Ī", + "ic ally", + "R ef", + "Ġcor re", + "ĠÐ ľ", + "Ġd at", + "b ers", + "l ing", + "ĠC ol", + "Ġke ep", + "Ġm ult", + "ere nce", + "w here", + "Ġin cre", + "Ġl ess", + "op t", + "Ġab le", + "ĠÑģ ÑĬ", + ") }", + "Ġv ar", + "Ġse u", + "c d", + "w w", + "L ist", + "R O", + "Ġd ri", + "Ġle vel", + "Ġp ort", + "um e", + "ĠÐ ij", + "Ġch ange", + "è® ¾", + "é ¦", + "ac es", + "æķ °", + "n et", + "a w", + "id ed", + "Ġre ce", + "anc es", + "ç ł", + "in ter", + "ent ly", + "Ġb ro", + "åij ĺ", + "if t", + "åĪ ¶", + "E n", + "A nd", + "r ist", + "ar get", + "bo x", + "ab ility", + "ĠÐ Ĵ", + "f ace", + "t op", + "ç ¼", + "æ ¡", + "par am", + "d en", + "ĠE ng", + "un ic", + "ĠP l", + "id a", + "Ġc ost", + "w ith", + "Ġbu ild", + "E D", + "Ġn et", + "Ġloc al", + "Ġa way", + "r r", + "g o", + "Ñģк а", + "к и", + "èĢ ģ", + "an a", + "Ġpro ject", + "å· ²", + "Ġк а", + "Ġst at", + "ut il", + "ä¸ ¤", + "f o", + "em ber", + "Ġl arge", + "ä¿ ¡", + "- \\", + "Ġd uring", + "m on", + "Ġ= =", + "æĪ ĸ", + "ent ion", + "Ġav ailable", + "åĪ ©", + "Ġo cc", + "Ġp o", + "Ġfin al", + "Ġl im", + "Ġab ove", + "Ñ İ", + "is ion", + "Ġt re", + "ĠI nd", + "Ġc irc", + "Ġm om", + "Ġen c", + "è į", + "Ġ {\\", + "fig ure", + "Ġche ck", + "olog y", + "Ġv iew", + "Ġp ot", + "is ed", + "act er", + "çŁ ¥", + "г о", + "iv ed", + "ad o", + "Ñĩ а", + "çī ¹", + "ĠE n", + "Ġw ater", + "us e", + "read y", + "A M", + "ÑĬ л", + "åħ ĥ", + "ĠA p", + "Ġn ull", + "al t", + "æ° Ķ", + "Ġch ang", + "as ure", + "ĠN o", + "Ġf ar", + "Ġd one", + "L L", + "ç³ »", + "iss ion", + "Ġc ame", + "Ġimport ant", + "Ġt able", + "m ost", + "å¥ ³", + "ab les", + "ir d", + "b ut", + "un ity", + "Ġwith in", + "Ġap plic", + "Ġc ustom", + "il on", + "Ġs ide", + "Ġbe h", + "ç ¡", + "Ġp ack", + "oc ument", + "he ad", + "Ġa ff", + "\\ \\", + "f un", + "B ut", + "g es", + "v ious", + "ни е", + "å°± æĺ¯", + "Ġ ÑĦ", + "Ġgener al", + "ail s", + "о ÑĢ", + "ä» £", + "ang le", + "å £", + "Ġd r", + "Ġs ize", + "Ġpro b", + "Ġt ell", + "d is", + "è· ¯", + "ç® ¡", + "ĠG r", + "im ent", + "le ction", + "u it", + "Ġserv ice", + "æķ Ļ", + "on a", + "Ġth ing", + "Ġin c", + "о н", + "Ġcall ed", + "Ġor ig", + "ĠO n", + "g a", + "ĠA ll", + "Ġh um", + "a it", + "E T", + "Ġte xt", + "ç½ ij", + "Ġn om", + "ap er", + "Ġm ov", + "Ġ ver", + "ag er", + "u ck", + "ç» Ļ", + "C ont", + "our s", + "Ġ Ñĥ", + "Ġp op", + "Ġд а", + "Ġk ind", + "Ġ ÑĢа", + "Ġpl an", + "H e", + "Ġth ough", + "Ġh ist", + "Ġap p", + "Ġse va", + "е ÑĢ", + "Ġme ans", + "Ġcon nect", + "ke y", + "d ata", + "Ġar t", + "ĠW hat", + "Ġacc ess", + "Ġin tern", + "ãĢ ĭ", + "at al", + "ial ly", + "\" )", + "éĹ ®", + "ãĢ Ĭ", + "n o", + "ie ve", + "Ġresult s", + "' )", + "ĠW hen", + "åı ¸", + "é¢ ĺ", + "å¼ ı", + "è§ £", + "du ct", + "Ġl ib", + "Ġagain st", + "Ġan al", + "Ġmon th", + "f ect", + "rib ut", + "Ġte chn", + "T r", + "Ġe y", + "ĠO r", + "n a", + ". _", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ar ray", + "ä¸Ń åĽ½", + "âĢ ¦", + "Ġl ow", + "b eta", + "Ġhav ing", + "ĠS c", + "æ »", + "p ose", + "Ġf re", + "at ter", + "l ist", + "Ġv oid", + "Ġb as", + "Ġp rom", + "ĠÐ IJ", + "Ġd ays", + "Ġre port", + "æī ĵ", + "åĪ «", + "s igma", + "Ġquest ion", + "av en", + "D E", + "it ive", + "Ġsp ace", + "Ġde pend", + "pl oy", + "al f", + "trans lation", + "one y", + "å¼ º", + "Ġcomm and", + "Ġf alse", + "Ġen ough", + "äº ¤", + "pon se", + "Ġpro te", + "b untu", + "g l", + "ä» ·", + "è® ¡", + "! \"", + "Ġev ent", + "ver n", + "p x", + "é ª", + "é ĵ", + "I C", + "is ter", + "å° ij", + "i um", + "re t", + "äº Į", + "I I", + "ĠM ar", + "Ġ( \\", + "ard s", + "çº ¿", + "* }", + "з и", + "å ŀ", + "Ġg row", + "Ġs um", + "ç ¦", + "Ġte am", + "Ġh ouse", + "p m", + "æ Ĥ", + "Ġon ce", + "Ġwe ek", + "Ġro om", + "Ġrep resent", + "ro id", + "è £", + "Ġb ig", + "ir on", + "Ġc ertain", + "ap e", + "Ġal ready", + "ènc ies", + "Ġг о", + "th at", + "ç¨ ĭ", + "ĠS p", + "Ġsh ort", + "ä¸ ĩ", + "Ġunder stand", + "l er", + "ä½ ¿", + "l u", + "in ation", + "b t", + "ĠA mer", + "in clud", + "ir t", + "é »", + "pl es", + "Ġpartic ular", + "math rm", + "Ġg roup", + "\" );", + "p ond", + "A C", + "ition al", + "a ction", + "il es", + "m y", + "å¥ ¹", + "Ġt imes", + "Ġl ot", + "Ġor gan", + "Ġcre ate", + "Ġcomp any", + "ĠTh at", + "ĠP r", + "ĠA d", + "åı Ĺ", + "st ring", + "æİ ¥", + "èī ²", + "åİ Ł", + "ĠU S", + "Ġfam ily", + "Ġy et", + "r c", + "C ol", + "ess ion", + "Ġp ay", + "end ed", + "Ġg ame", + "ÑĢ Ñĥ", + "indow s", + "Ġ version", + "è Ļ", + "Ġcour se", + "Ġm us", + "Ġex c", + "g round", + "il ar", + "æĮ ģ", + "a f", + "Ġsu ccess", + "Ġb en", + "на ÑĤа", + "Ġex ist", + "W hat", + "Ġre t", + "Ġwh y", + "Ġ u", + "Ġun til", + "Ġm or", + "Ġe ver", + "s q", + "ou th", + "Ġres pect", + "it ch", + "Ġn ight", + "Ġacc ount", + "å¤ ´", + "é£ İ", + "åIJ ij", + "ĠP h", + "Ġs at", + "æĶ ¾", + "um ber", + "i us", + "Ġst ring", + "sc ript", + "çľ Ł", + "o x", + "åį ģ", + "æį ®", + "а ÑĢ", + "Ġe lect", + "ad or", + "op y", + "åĽ ŀ", + "ĠL e", + "Ġw ent", + "**** ****", + "ri ption", + "Ġus er", + "==== ====", + "it er", + "Ġf ore", + "å·¥ ä½ľ", + "ĠM y", + "Ġb it", + "çĽ ´", + "Ġf our", + "ç» ĵ", + "w ord", + "Ġcont rol", + "] {", + "æ¯ ı", + "er o", + "ak en", + "ist r", + "Ġwork ing", + "Ġs chool", + "èĩ ³", + "Ġbe g", + "æľ į", + "åı ĺ", + "åŁ º", + "Ġ Â", + "å¤ Ħ", + "Ġt yp", + "Ġm ot", + "g amma", + "ĠU buntu", + "i ents", + "O b", + "ff ic", + "Ġlook ing", + "Ġcomp ut", + "h ing", + "ater ial", + "ar row", + "ĠÐ ¢", + "æĬ Ĭ", + "B y", + "] ,", + "at ures", + "Ġ ÑĤ", + "on es", + "Ġwor ks", + "iqu e", + "c i", + "} {\\", + "I S", + "D ata", + "Ġal ong", + "s ide", + "ar ing", + "E S", + "p ing", + "¥ ¿", + "Ġse lect", + "or ies", + "le y", + "l s", + "Ġд о", + "ord ing", + "Ġgo vern", + "le m", + "Ġ ident", + "ĠR es", + "Ġar g", + "è´ ¨", + "ip s", + "а н", + "ĠB e", + "Ġex p", + "ĠÐ Ķ", + "I ON", + "ä¸ ľ", + "Ġp rivate", + "Ġof ten", + "Ġla w", + "Ġle ast", + "ĠC an", + "i ver", + "éľ Ģ", + "Ġle g", + "ur a", + "éĿ ŀ", + "ur s", + "Ġl ay", + "Ġen g", + "Ġm ind", + "v ol", + "ur ther", + "orm al", + "aj or", + "P h", + "ill s", + "ĠG od", + "ó n", + "åį ķ", + "{ (", + "Ġprov ide", + "åIJ Ħ", + "æµ ·", + "R e", + "or th", + "Ñģ и", + "\" .", + "Ġmom ent", + "ri p", + "Ġin put", + "H E", + "Ġexper ience", + "Ġh old", + "Ġsh all", + "O T", + "ub untu", + "æĶ ¶", + "se c", + "m p", + "oc ial", + "Ġst ruct", + "n ow", + "Ġп ÑĢо", + "è ¥¿", + "Ġm ag", + "ĠB l", + "Ġpar amet", + "pos ed", + "Ġhe alth", + "ĠA t", + "ĠÑģ а", + "m it", + "Ġre ason", + "ĠM an", + "m b", + "éĹ ¨", + "f ile", + "æĬ Ģ", + "oh n", + "ist a", + "åħ¬ åı¸", + "Ġsing le", + "t est", + "Ġe ither", + "H ow", + "rr or", + "Ġw rit", + "Ġin it", + "Ġyou ng", + "og le", + "Ġm ill", + "Ġse en", + "Ġout put", + "åı £", + "] ;", + "åĨ į", + "ap h", + "ud o", + "it ud", + "Ġse ver", + "val ue", + "i od", + "U n", + "in st", + "\" :", + "Ġso ft", + "д о", + "A P", + "r ho", + "Ġsup er", + "con st", + "Ġdoes n", + "Ġan sw", + "Ġinclud ing", + "le q", + "ward s", + "ни ÑĤе", + "get her", + "Ġb ased", + "Ġto gether", + "ou ble", + "Ġex press", + "d elta", + "æĶ ¿", + "d o", + "Ġit em", + "$ $", + "or der", + "ific ation", + "Ġen erg", + "à ¯", + "ac ions", + "Ġh i", + "amb é", + "iv ing", + "ènc ia", + "iv ity", + "Ġн е", + "ĠC ar", + "çĪ ±", + "à ¼", + "ide o", + "Ġf ix", + "Ġbel ow", + "s el", + "éĻ ¢", + "ä» ¶", + "b ig", + "Ġp ast", + "Ġm aking", + "om an", + "l ib", + "å ²", + "æł ¼", + "L a", + "æľ ¯", + "çĶ ±", + "ĠG u", + "Ġmark et", + "Ñģ ÑĤа", + "ore d", + "Ġsit u", + "f ort", + "le g", + "åķ Ĩ", + "inc ip", + "Ġcl os", + "âĢ ĺ", + "al es", + "Ġob tain", + "our ces", + "Ġ era", + "æĢ »", + "æµ ģ", + "b ody", + "the ta", + "ĠÐ Ŀ", + "a i", + "è¿Ļ 个", + "åĢ Ļ", + "ic an", + "ÑģÑĤ и", + "Ġal t", + "Ġcorre ct", + "se arch", + "ul es", + "O n", + "ä» »", + "Ġcomp let", + "ac y", + "Ġli k", + "t ime", + "Ġcom b", + "ĠThe n", + "Ġm ass", + "ä» Ĭ", + "ang u", + "Ġinv est", + "t able", + "Ġо б", + "è¿ IJ", + "ta u", + "Ġph ot", + "Ġm ove", + "Ġen v", + "id s", + "è ±", + "ul ation", + "ref ore", + "Val ue", + "ĠUn ivers", + "åŃ ©", + "Ġp ract", + "u ro", + "ym bol", + "s k", + "æ ®", + "Ġh tt", + "en ed", + "Ġstr ong", + "ĉ if", + "æī į", + "Ġre pl", + "de v", + "The re", + "c hed", + "å¸ ¦", + "O S", + "ç§ ij", + "Ġh ig", + "éĢ ł", + "un a", + "Ġ& &", + "Ġent re", + "Ġp ob", + "o ff", + "Ġs ays", + "Ġsever al", + "S h", + "Ġbre ak", + "S et", + "a im", + "Ġsim ple", + "Ġcan not", + "iqu es", + "t imes", + "em pt", + "Ġre du", + "Ġme et", + "qu e", + "Ġc ode", + "] .", + "Ġd est", + "Ġrequ ire", + "æ± Ĥ", + "// //", + "ĠW ith", + "am s", + "Ġne cess", + "Ġadd ress", + "Ġc as", + "åħ Ī", + "Ġhe art", + "Ġd iv", + "Ġf ut", + "Ġwho le", + "um p", + "er ències", + "oc us", + "ur ation", + "ain t", + "in it", + "c le", + "Ġdet erm", + "è s", + "å± ±", + "n u", + "Ġnot hing", + "è® °", + "ĉ //", + "I m", + "is on", + "éĢ ī", + "id ual", + "C O", + "b u", + "Ġim pro", + "Ġchild ren", + "ĠCh rist", + "è® ¤", + "i ar", + "Ġ ?", + "ĠÑģ и", + "s ize", + "Ġ %", + "Ġon line", + "t es", + "ar ning", + "æ ¼", + "! !", + "Ġp age", + "ur y", + "ro du", + "п а", + "Ġspec ial", + "Ġval ues", + "å¸ Ī", + "å¯ ¼", + "Ġcol or", + "en e", + "Ġm ax", + "ail ed", + "Ġare a", + "æĬ ¥", + "åŁ İ", + "è° ĥ", + "eq ref", + "Ġspec ific", + "Ġm oney", + "ĠP er", + "åŀ ĭ", + "} (\\", + "ar r", + "è İ", + "Ġf ace", + "Ġcont inu", + "Ġto ok", + "è§ Ħ", + "ou d", + "Ġcomm on", + "åĮ »", + "Ġs ound", + "å¢ ŀ", + "ĠB r", + "Ġst op", + "Ġle arn", + "Ġother s", + "Ġword s", + "Ġre d", + "Ġt alk", + "is ing", + "å Ķ", + "Ġs ense", + "Ġc reat", + "Ġb ound", + "s m", + "è¯ Ŀ", + "Ġsim ilar", + "Ġp el", + "Ġcount ry", + "an ks", + "b all", + "Ġp ath", + "ç« ĭ", + "Ġsu gg", + "å® Į", + "ä» Ģ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "Ġcont ent", + "æ º", + "çº §", + "è Į", + "un g", + ". )", + "ri x", + "in o", + "п и", + "i ans", + "Ġre quest", + "è´ ¹", + "åĽł 为", + "Ġab s", + "im al", + "з а", + "I s", + "Ġhow ever", + "Ġj ob", + "m at", + "Ġl and", + "å½ ±", + "end ing", + "æŶ åĢĻ", + "G et", + "Ġd om", + "Ġal g", + "un e", + "Ġb ody", + "Ġп ÑĢи", + "Ġdesc rib", + "ĠP ar", + "åı Ī", + "Ġsugg est", + "å® ¹", + "Ġs ource", + "Ñģ ÑĤо", + "ĠD o", + "Ġvol t", + "atur al", + "col or", + "Ref erències", + "res h", + "ĠT e", + "ä¼ ł", + "S o", + "é ¥", + "èģ Ķ", + "ĠQ u", + "ens ion", + "x i", + "Ġm ajor", + "éĺ Ł", + "å¦Ĥ æŀľ", + "part ial", + "ĠĠĠĠĠĠĠĠ ĠĠ", + "Ġqu ite", + "ä»Ģ ä¹Ī", + "V iew", + "æķ Ī", + "åį Ĺ", + "Ñģ е", + "ain ed", + "ä¸ ĵ", + "A S", + "Ġob serv", + "æķ ´", + "ĠHow ever", + "\" ;", + "æ¸ ħ", + "ome ga", + "ft y", + "f rom", + "Ġenerg y", + "Ġes c", + "ag ement", + "æł ĩ", + "ä¸ ĸ", + "Ġr ange", + "O r", + "Ġt w", + "è ħ", + "ict ion", + "çĹ ħ", + "ure d", + "Ġhim self", + "m and", + "ro om", + "л Ñı", + "Ġc amp", + "è¾ ¾", + "ir m", + "Ġkn own", + "om et", + "æĪ ĺ", + "u ed", + "æŶ éĹ´", + "Ġm akes", + "Ġcon c", + "enc es", + "Ġfil es", + ") );", + "ç ħ", + "pos ition", + "row s", + "ç¤ º", + "Ġchar acter", + "ful ly", + "ä»ĸ 们", + "ç» Ł", + "Ġwhe ther", + "Ġp od", + "l ight", + "A D", + "Ġa ir", + "Ġbe aut", + "A p", + "S e", + "èĬ ±", + "è¯ ¥", + "åĪ Ľ", + "c m", + "[ '", + "b a", + "Ġes pec", + "Ġdo ing", + "èĬ Ĥ", + "W ith", + "Ġin div", + "Ġh alf", + "Ġtot al", + "Ġper fect", + "r t", + "ic ro", + "è¿ ij", + "ÑĬ ÑĤ", + "Ġvis it", + "U T", + "I M", + "N o", + "bo ok", + "Ġal s", + "W h", + "ol l", + "Ġa quest", + "ag ed", + "åı °", + "Ð ¡", + "ne ction", + "ä¼ ģ", + "Ġeas y", + "Ġac ross", + "iv al", + "Ġserv ices", + "åĩ ł", + "Ġv i", + "c hes", + "Ġst re", + "Ġb ase", + "Ġb ar", + "ĠÐ ł", + "Ð Ł", + "Ġe ar", + "Ġide a", + "è¯ ģ", + "г ÑĢа", + "Ġbec ome", + "wh ich", + "ac ed", + "Ġam ong", + "ol s", + "Ġd ue", + "j oy", + "Ġrun ning", + "æĪ ¿", + "Ġany thing", + "Ġme asure", + "Ġr ather", + "æ¶ Ī", + "p ath", + "ĠC ent", + "ut es", + "Ġneed s", + "il t", + "çļĦ 人", + "f ield", + "qu ad", + "Ġf lo", + "ĠS tring", + "Ġc aus", + "Ġpr incip", + "å Ħ", + "W hen", + "Ġtr ad", + "Ġf av", + "é¡ ¹", + "Ġf ill", + "Ġd en", + "Ġf a", + "ne y", + "ÑĢи Ñı", + "I nd", + "M od", + "çĻ ½", + "Ġpos ition", + "ç² ¾", + "ç¤ ¾", + "Ġs ite", + "Ġdisc uss", + "sp ace", + "å½ ¢", + "ple ment", + "Ġqu al", + "Ġal most", + "è¾ ĥ", + "m m", + "Ġl os", + "Ġlo ad", + "ä¹ ¦", + "A ll", + "le x", + "r s", + "til de", + "Ex ception", + "Ġdid n", + "ĠÐ ĵ", + "Ġp aper", + "U R", + "Ġim age", + "it a", + "ĠJ ohn", + "Ġp ress", + "Ġst atic", + "ÑĨ иÑı", + "in fty", + "è§ Ĥ", + "Ġr ad", + "ie f", + "Ġnet work", + "z e", + "IN G", + "A B", + "æĮ ĩ", + "ж е", + "Ġim p", + "ur al", + "è§ ģ", + "Ġne ar", + "ç© º", + "m ary", + "im um", + "Ġan n", + "å® ĥ", + "çIJ ĥ", + "Ġseem s", + "м о", + "re w", + "åı ĭ", + "ic ial", + "Ġm aterial", + "Ġcont in", + "ç ĭ", + "fun ction", + "èĢ ĥ", + "Ġdef ault", + "th ough", + "Ġse arch", + "åıij å±ķ", + "Ġ/ **", + "æ¸ ¸", + "åĦ ¿", + "Ġact ually", + "row n", + "se e", + "Ġh om", + "im ate", + "\" \"", + "Ġcor res", + "t ies", + "Ġrec ord", + "Ġwe bs", + "Q u", + "Ġ ÑĢе", + "åĽ Ľ", + "èµ °", + "ar a", + "od es", + "ig ure", + "è¶ Ĭ", + "Ġet c", + "åħ ī", + "I nt", + "b it", + "p en", + "htt p", + "æ³ ¨", + "os p", + "ĠI N", + "åŃ© åŃIJ", + "Ġst yle", + "s im", + "Ġqu ick", + "è§ ī", + "is f", + "ur ant", + "ra in", + "C H", + "æ £", + "ob al", + "ic y", + "ÑģÑĤ во", + "Ġt arget", + "ĠThe se", + "å¿ «", + "Ġd ocument", + "ic ult", + "' );", + "Ġcl ose", + "at ors", + "i ke", + "Ġsol ution", + "Ġg round", + "ĉ return", + "as c", + "è¿Ľ è¡Į", + "Ġc ut", + "Ġfun d", + ".. ..", + "æ² »", + "Ġf ood", + "Ġne g", + "e b", + "Ġrequ ired", + "r ary", + "ле д", + "Ġinclud e", + "æĺ ĵ", + "E rror", + "ic on", + "Ġstud y", + "Ġbl ack", + "Ġa ction", + "èĤ ¡", + "g u", + "Ġget ting", + "Ġt aken", + "cc ió", + "Ġso on", + "D elta", + "l im", + "ç Ĭ", + "( ).", + "éĹ® é¢ĺ", + "ç» Ħ", + "Ġcom es", + "Ġindiv idual", + "Ġopt ions", + "erv ice", + "Ob ject", + "æĪ ·", + "i res", + "Ġst ep", + "Ġg ir", + "Ġf low", + "ib ility", + "Ġcon fig", + "Ġper iod", + "Ġt ro", + "Ñĩ и", + "è§ Ĩ", + "Ġf all", + "if ul", + "åĬ Ł", + "Ġl ater", + "Ġbu y", + "æİ ¨", + "ĠC ont", + "ĠO ne", + "åħ ·", + "f l", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "Ġem ploy", + "Ġo ption", + "èµ Ľ", + "åĮ Ĺ", + "el t", + "cl us", + "at us", + "is k", + "ac hed", + "Ġpoint s", + "Ġbeg in", + "Ġh ab", + "ru ction", + "j s", + "r am", + "tern al", + "loc ation", + "б о", + "av ing", + "ra f", + "Q L", + "eg a", + "æĿ ¡", + "le ment", + "Ġmat ter", + "ä¸ Ķ", + "ĠS er", + "Ġsa w", + "ab ase", + "Ġtry ing", + "Ġex act", + "ce ed", + "Ġansw er", + "n b", + "Ġqu ality", + "in ary", + "id d", + "Ñī а", + "D ef", + "ĠEng lish", + "r up", + "rib ute", + "æĶ ¹", + "d own", + "o ke", + "rib ution", + "åIJ ĥ", + "ç a", + "A dd", + "ĠA ss", + "Ġres p", + "ur l", + "sel ves", + "Ġl ive", + "ĠD es", + "æĬ ķ", + "T est", + "Ġar tic", + "Ġshow s", + "åı ĸ", + "éļ ¾", + "g ress", + "å¤ ª", + "g ed", + "Ġto ld", + "un ch", + "ĠÑĢа з", + "Ġey es", + "ind ex", + "ç± »", + "Ġcomp on", + "t ings", + "Ġf ac", + "Ġh ot", + "Ġt ambé", + "æ· ±", + "Ġind ic", + "em pl", + "ĠÐ »", + "iron ment", + "le v", + "a ff", + "ch o", + "st er", + "cd ot", + "ol ution", + "v ing", + "ĠB y", + "end s", + "Ġ ...", + "Ġl arg", + "A t", + "æŃ ¥", + "\\ ,", + "ver age", + "Ġto day", + "Ġf urther", + "ç¡ ®", + "Ġt reat", + "Ġd er", + "N D", + "é£ Ł", + "Ġse par", + "p ublic", + "itt ed", + "Ġex ec", + "l ay", + "Ġph ys", + "ore m", + "ĠE st", + "ç¥ ŀ", + "Ġproper ty", + "_ ,", + "## ##", + "Ġpre vious", + "Ġpre t", + "Ġm ap", + "ä¸į æĺ¯", + "Ġor g", + "å¤ ĩ", + "angu age", + "in put", + "n s", + "å¾Ī å¤ļ", + "l ink", + "ĠV al", + "Ġh or", + "ari o", + "Ġго ди", + "Ġsub ject", + "Ġm il", + "t ab", + "å§ ĭ", + "æ¬ ¾", + "Ġm iss", + "è½ ¬", + "| Ġ", + "æ ij", + "Ġs ocial", + "ä¼ģ ä¸ļ", + "Ġinst ead", + "o in", + "Ġiss ue", + "ur ch", + "çķ Į", + "ig u", + "u x", + "èĤ ²", + "ott om", + "com p", + "Ġass oci", + "ab or", + "and o", + "ut h", + "id ence", + "on y", + "us er", + "Ġorig inal", + "og raph", + "Ġbel ieve", + "ä½Ĩ æĺ¯", + "Ġl ink", + "Ġask ed", + "ĠM ay", + "å·² ç»ı", + "Ġpr int", + "åij ¨", + "itt en", + "é¢ Ĩ", + "ell s", + "id ing", + "ab led", + "N ot", + "æ ¹", + "med i", + "um er", + "ĠS ystem", + "o on", + "å¸Ĥ åľº", + "Ġ ÑĤо", + "Ġh ope", + "è¿Ļ æł·", + "Ġt ried", + "Ġ// /", + "ĠG o", + "U S", + "ĠIn st", + "Ġcle ar", + "Ġp ref", + "p ack", + "ÑĢ ÑĬ", + "I G", + "Ġw alk", + "pr és", + "um ents", + "} [", + "Ġt ri", + "ä½ ķ", + "åį İ", + "M y", + "Ġs il", + "is c", + "Ġperson al", + "op s", + "Cl ass", + "ĠпÑĢе з", + "Ġfut ure", + "O M", + "Ġwh ite", + "s up", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ <", + "å¼ ł", + "Ġoff er", + "' ]", + "èIJ ¥", + "ĠN ot", + "æ ħ", + "i u", + "F F", + "Ġp ri", + "Ġind ust", + "Ġst ory", + "Ġevery thing", + "Ġh ost", + "Ġsign ific", + "Ġele ment", + "ĠC he", + "Ġde g", + "ä¼ ĺ", + "æ ¢", + "P ar", + "æīĢ 以", + "Ġen joy", + "Ġsh own", + "Ġwr ite", + "Ġser ver", + "Ġdev ice", + "åĩ Ĩ", + "ist ic", + "ra ft", + "Ġpar a", + "æģ ¯", + "() );", + "ä¹ ł", + "Ġs ens", + "Ġapplic ation", + "Ġso bre", + "ĠC al", + "ut ions", + "og n", + "ul a", + "Ġest ab", + "eq n", + "T ext", + "ĠI nt", + "Ġcont act", + "o res", + "Ġ ill", + "å¸ ĥ", + "å¹ ¿", + "Ġcon text", + "Ġs ort", + "ĠS te", + "r id", + "ag s", + "åħ ±", + "w ise", + "m en", + "inu x", + "а л", + "Ġam ount", + "con om", + "Ġadd ed", + "éĢ Ł", + "Ġprob ably", + "çĥ Ń", + "Ġp ict", + "ĠS up", + "Ġspe ak", + "} }\\", + "Ġcorres pond", + "Ġp a", + "ä¹ IJ", + "Ġt itle", + "p ace", + "åĬ ŀ", + "led ge", + "Ġinde x", + "ĠE d", + "Ġv ia", + "nb sp", + "av es", + "Ġка ÑĤо", + "Ġan t", + "Ġterm s", + "ä¹Ł æĺ¯", + "éĽ Ĩ", + "Ġpob l", + "it es", + "Ð Ĵ", + "åħ »", + "éħ į", + "ĠÐ ŀ", + "Ġvolt age", + "Ġwe b", + "Ġcont ain", + "æĶ ¯", + "é Ł", + "Ġre view", + "p oint", + "Ġen s", + "f ra", + "Ġc ity", + "and s", + "Ġp red", + "Ġs i", + "Ġperform ance", + "Ġb ring", + "h a", + "Ġm ach", + "as ing", + "Ġhav ia", + "Ġdri ve", + "Ġdis play", + "Ġex am", + "re l", + "ys is", + "K ey", + "Ġ ess", + "Ġfe atures", + "Ġstart ed", + "Ġb ad", + "Ġhum an", + "éĺ ²", + "r ite", + "Ġf ocus", + "re c", + "m ega", + "è£ ħ", + "h aps", + "åĨ ³", + "Ġben ef", + "ust r", + "Ġpro p", + "åı į", + "ва не", + "bo ard", + "Ġh ours", + "Ġde al", + "Ġcol umn", + "ĠG e", + "Ġw ait", + "åĮ ħ", + "Ġfre qu", + "г и", + "u f", + "l ished", + "Ġp or", + "ĠÐ ĺ", + "ç» Ń", + "ic ió", + "U LL", + "Ġp ie", + "å¤ į", + "c ió", + "Ġprof ess", + "Ġstud ents", + "ва ÑĤ", + "Ġ Ã", + "Ġp le", + "Ġw omen", + "Ġinte gr", + "ä½ İ", + "s l", + "ĠH is", + "Ġint rodu", + "Ġbl ock", + "çĶŁ æ´»", + "å ĥ", + "Ġb ed", + "æł ¡", + "Ġaut hor", + "M an", + "ell ow", + "å® ¢", + "Ġinv ol", + "Ġwon der", + "Ġm ol", + "Ġc ases", + "п е", + "Ġfr ont", + "ĠC or", + "P E", + "port s", + "Ġar ray", + "ĠC o", + "per ty", + "Ġhig her", + "b ed", + "æ ¨", + "Ġact iv", + "Ġs em", + "e ction", + "Ġsat isf", + "å± Ģ", + "+ +", + "i as", + "ç ª", + "} ;", + "Ġp arent", + "åı¯ èĥ½", + "è¿ĺ æĺ¯", + "Ġc rit", + "R equ", + "Ġaut om", + "é© ¬", + "Ġres ist", + "itt ing", + "Ġn atural", + "F ile", + "old s", + "åĢ ¼", + "Ġw in", + "Ġse ction", + "l ia", + "Ġproduct s", + "Ġsome one", + "Ġac cept", + "op er", + "â Ķ", + "Ġqu ant", + "i i", + "ĠF l", + "uro pe", + "æĿ ĥ", + "x im", + "è ı", + "ou ch", + "T ER", + "Ġd ire", + "Ġent ire", + "T ime", + "Ġv ideo", + "Ġdiff icult", + "T R", + "æľ ª", + "ip le", + "Ġcle an", + "Ġwebs ite", + "g roup", + "Ġe arly", + "æ IJ", + "Ġsim ply", + "Ġl ower", + "çī ĩ", + "en n", + "o ad", + "roll er", + "æº IJ", + "å® Ŀ", + "Ġr ate", + "ou nc", + "ĠÐ Ľ", + "åĪ Ļ", + ": \"", + "Ġcomple te", + "ĠM ed", + "Ġinst ance", + "Ġf ou", + "L O", + "Ġв ÑĬ", + "d f", + "Ġlim it", + "Ġvari ous", + "æĺ ¾", + "Ġar ch", + "Ġt aking", + "åĬ ¿", + "çº ¢", + "n av", + "ur g", + "Ġappro ach", + "il ities", + "Ġcal cul", + "Ġsc he", + "ĠL et", + "L A", + "Ġh on", + "è¶ ħ", + "Ġits elf", + "Ġm essage", + "çİ ¯", + "ä¾ ¿", + "Ġpot ential", + "m ar", + "å ¨", + "htt ps", + "Ġl ength", + "б и", + "è® º", + "u i", + "Ġappe ar", + "Ġre search", + "ma x", + "Ġup date", + "O mega", + "åĨ µ", + "or ld", + "éĻ ¤", + "Ġinstall ed", + "Ġc ult", + "l ÃŃ", + "y l", + "w as", + "åı Ĥ", + "çľ ģ", + "æ Ĵ", + "ĠR eg", + "Ġc ard", + "çİ ĭ", + "er al", + "Ġfriend s", + "åį ĩ", + "Ġmem bers", + "S c", + "i et", + "æ ļ", + "Ġ util", + "ä¼ Ĺ", + "se qu", + "in ition", + "f er", + "åį ³", + "AT E", + "Ñĥ ÑĢ", + "en ing", + "itud e", + "éľĢ è¦ģ", + "In st", + "end er", + "Ġcre ated", + "m ission", + "Ġcomp et", + "li ke", + "çł Ķ", + "m ap", + "o ice", + "ÑĬл га", + "æĢ ģ", + "i j", + "! --", + "err or", + "T hat", + "p y", + "n ode", + "Ġed uc", + "Ġre comm", + "i os", + "åĨ Ľ", + "Ġdown load", + "and om", + "ÃŃ t", + "l t", + "Ġf ine", + "Ġmus ic", + "åĬ ©", + "æł ¹", + "eps ilon", + "Ġan g", + "äº Ķ", + "Ġf ire", + "F rom", + "å¹ ²", + "y nc", + "Ġf ive", + "Ġp ers", + "d om", + "Ġ ÑĤе", + "text bf", + "c apt", + "en a", + "è c", + "Ġhand s", + "ove red", + "Ñī е", + "Ġn ormal", + "ĠUnivers ity", + "in ks", + "Ġд е", + "Ġexpect ed", + "__ __", + "Ġmin utes", + "} _{\\", + "am ed", + "' ;", + "Ġp lease", + "Ġneed ed", + "ä¾ Ľ", + "å¼ ķ", + "Ġw indow", + "åij Ĭ", + "Ñģ а", + "ĠS ant", + "raph ics", + "æľį åĬ¡", + "Ġser ies", + "Ġr ound", + "m ber", + "Ġconst ant", + "I P", + "Ġs al", + "Ġag o", + "Ġbo x", + "ĠI m", + "Ġhtt p", + "Ġprote ct", + "Ġg e", + "é¦ ĸ", + "u ly", + "l ength", + "æŁ ¥", + "= Ġ", + "( ),", + "is es", + "Ġmod els", + "人 çļĦ", + "Ġcond ition", + "Ġa ud", + "Ġs ud", + "Ġhe ard", + "le ep", + "Ġcomp an", + "Ġper ò", + "ast ic", + "il s", + "èĩªå·± çļĦ", + "Ġst e", + "Ġd rop", + "c ome", + "åĥ ı", + "un s", + "O f", + "Ġpr ice", + "Ġm ount", + "åĽ ¾", + "Ġth us", + "he l", + "ÃŃ s", + "æĢ Ŀ", + "åĽ ¢", + "Ġcomm unity", + "ĠM ac", + "ĠAmer ican", + "çİ° åľ¨", + "æ¡ Ī", + "A d", + "Ñģк о", + "éĿŀ 常", + "Ġsh are", + "ĠA fter", + "anc ed", + "ll a", + "air s", + "Ġes p", + "Ġlook ed", + "pr int", + "Ġlik ely", + "con fig", + "Ġsoft ware", + "k en", + "Ġreg ard", + "Ġback ground", + "Ġ Ñħ", + "æ» ¡", + "Ġm other", + "Ġbo ot", + "大 家", + "ener al", + "Ġsc reen", + "éĥ½ æĺ¯", + "è¶ ³", + "Ġgr aph", + "E vent", + "Ġst ay", + "ww w", + "ç ı", + "Ġext ra", + "' :", + "æĿ ij", + "Ġrel ations", + "Ġf er", + "L et", + "or ith", + "g ing", + "ot a", + "Ġd im", + "b in", + "Ġdo or", + "pl ied", + "Ġfe ature", + "ok en", + "Ġbeaut iful", + "Ġlong er", + "ĠIn tern", + "ĠĠ $", + "Ġm atch", + "un der", + "çľ ¼", + "ro s", + "ps ilon", + "ps i", + "Ġd ig", + "å¿ ħ", + "Ġstand ard", + "Ġchang es", + "Ġtr ack", + "d b", + "Ġh ol", + "j ust", + "Ġtra ining", + "l ock", + "çİ ĩ", + "ou n", + "ell ing", + "og raf", + "Ġproble ms", + "ĠP ol", + "æĸ Ļ", + "' '", + "èĩ ´", + "Ġop port", + "æ® µ", + "ĠN ow", + "ĠA b", + "rou ght", + "ist es", + "Ġdevelop ment", + "y a", + "Ġtem per", + "æİ Ĵ", + "Ġf ather", + "am a", + "çļĦ æŶåĢĻ", + "Ġfin s", + "Ġpre c", + "EN T", + "y ou", + "Ġ vers", + "çħ §", + "Ġdef ined", + "Ġb and", + "ä¹ °", + "sq rt", + "ä½ ı", + "Ġmonth s", + "Ġpartic ip", + "Ġd os", + "ä» ħ", + "Ġa ch", + "ĠÐ ¥", + "å¾ Ģ", + "cur ity", + "ĠW ill", + "ĠM e", + "Ġc ross", + "irt ual", + "Ġf ul", + "Ġw all", + "å ©", + "Ġl at", + "ÑĢа ÑĤ", + "çģ «", + "è¾ ¹", + "Ġpret ty", + "Ġw oman", + "ç Į", + "P I", + "Ġde cl", + "c ount", + "Ġreg ular", + "ag ing", + "Ġsystem s", + "Ġp an", + "Ġl oss", + "yn am", + "res ult", + "åı ·", + "n ia", + "è¯ Ĩ", + "Ġa w", + "ĠO ur", + "c up", + "ĠD r", + "Ġn ode", + "Ġis n", + "Ġв о", + "ÑĨ а", + "ĠW indows", + "å Ļ", + "v are", + "nc es", + "éļ ı", + "åį ´", + "Ġs on", + "æľ Ľ", + "æĬ ¤", + "Ġs un", + "ç¦ »", + "Ġle ave", + "M L", + "ir it", + "Ġprov ided", + "é ¾", + "s ing", + "b m", + "Ġd ate", + "m ore", + "Ġcl ick", + "Ġм е", + "ĠA dd", + "Ġdet ails", + "çļĦ ä¸Ģ", + "Ġwe ight", + "åĸ ľ", + "Ġcomple x", + "Ġacc ording", + "Ġs ym", + "Ġl ines", + "ĠM in", + "Ð ĺ", + "Ġd raw", + "sub section", + "ĠB o", + "Ġus ually", + "Ġc ause", + "Ġinit ial", + "Ġf ast", + "Ġfor ward", + "Ġquest ions", + "f il", + "Ġrem ov", + "Ġact ual", + "Ġadd ition", + "Ġwh ose", + "our n", + "Ġpobl ació", + "Ġcom ing", + "ra v", + "Ġ Ñĩе", + "åħ ĭ", + "um b", + "Ġse ason", + "Ġstruct ure", + "il der", + "O ver", + "å¤ Ł", + "éĢ Ĥ", + "è® ¸", + "E d", + "Ġdiffere nce", + "capt ion", + "æ² ¹", + "or a", + "G amma", + "Ġresp ons", + "éĢļ è¿ĩ", + "Ġenv ironment", + "Ġro ot", + "k n", + "Ġhist ory", + "her s", + "Ġnot e", + "Ġs ón", + "Ġw atch", + "Ġde ath", + "n on", + "Ġcl aim", + "Ġcho ose", + "Ġim plement", + "Ġp ick", + "et er", + "Ġf it", + "or age", + "Ġap ply", + "Ġwr ong", + "U N", + "åŃ ĺ", + "/ *", + "Ġs low", + "ur b", + "Ġm ention", + "Ġg ave", + "Ġmy self", + "çļĦ æĺ¯", + "r ad", + "c or", + "p res", + "iz ing", + "Ġpart s", + "Ġnecess ary", + "Ġ );", + "å¤ ±", + "Ġimpro ve", + "Ġev ents", + "ign ed", + "Ġgiv es", + "çĶ ·", + "Ġc am", + "r im", + "or ks", + "ĠP art", + "æĸ ¯", + "N ow", + "sum mary", + "c an", + "ann el", + "n ers", + "æŀ ģ", + "è® ®", + "éĻ ħ", + "eqn array", + "~ ~", + "Ġ ri", + "Ġespec ially", + "Ġde ep", + "Ġres ponse", + "vare psilon", + "ang er", + "Ġgovern ment", + "Ġg en", + "nd er", + "ç§ °", + "It em", + "ĠR ep", + "Requ est", + "а й", + "idd le", + "åij ½", + "Ġf oot", + "C E", + "åŃ Ĺ", + "Ġp ub", + "éª Į", + "åĪ° äºĨ", + "ef ore", + "Ġmor ning", + "Ġass ert", + "st yle", + "Ġspe ct", + "çº ¦", + "Ġd ark", + "ç´ ł", + "ç± ³", + "Ġw ar", + "Ġass um", + "---------------- ----------------", + "o oth", + "ĠY ork", + "pon ent", + "Ġbeh ind", + "F r", + "Ġk new", + "St ate", + "b or", + "Ñģ о", + "Ġm ode", + "tern s", + "Ġth ird", + "ph p", + "Ġfollow s", + "Ġcap ac", + "ç½ ®", + "è¡ Ģ", + "Ġthem selves", + "å¼Ģ å§ĭ", + "unic ip", + "Ġp ain", + "D e", + "D o", + "è± ¡", + "Ġc a", + "$ Ġ", + "Ġwrit ing", + "Ġd am", + "Ġiss ues", + ". }", + "Ġfav or", + "ĠS et", + "ĠH ere", + "æĸ ½", + "v is", + "Ġpl ant", + "Ġн о", + "B u", + "F ield", + "os a", + "ĠM on", + "Ġdi ag", + "äº ¿", + "Ġwr itten", + "T E", + "Ñģка ÑĤа", + "u el", + "å· ŀ", + "eg raphics", + "includ egraphics", + "Ġcond itions", + "I L", + "E lement", + "å¢ ĥ", + "Ġs ix", + "Ġsignific ant", + "Ġc opy", + "min istr", + "ĠG et", + "æ¬ ¢", + "Ġcol l", + "л Ñĥ", + "tr ue", + "æĸ Ń", + "F orm", + "Ġs we", + "Ġcons ist", + "Ġt akes", + "pl ies", + "ol a", + "Ġa ge", + "ear ch", + "ĠÐ ¤", + "Ġrece ived", + "Ġpop ular", + "Ġs n", + "æİ §", + "è¯ ķ", + "il le", + "pro of", + "s udo", + "Ġrem ain", + "Ġpur ch", + "er ra", + "è¿ ŀ", + "us ed", + "Ġcirc uit", + "ĠY our", + "r ide", + "L e", + "Ġbuild ing", + "t ot", + "h ab", + "Ġrel ated", + "éĶ Ģ", + "Ġc red", + "Ġle arning", + "y d", + "o o", + "ic i", + "Ġknow ledge", + "Ġwor th", + "ĠI I", + "em ph", + "Ð ij", + "ad y", + "ograf ia", + "c ion", + "h ib", + "\\ {", + "Ġup d", + "Ġturn ed", + "Ġcomput er", + "ÑĢа н", + "Ġc i", + "ob ject", + "Ġ/ *", + "Ġ+ Ġ", + "çĻ ¾", + "P S", + "_ .", + "ĠCom p", + "ĠP a", + "p o", + "Ġs us", + "cre t", + "p ri", + ") {", + "æ¼ Ķ", + "e ed", + "Ġp et", + "Ġro ad", + "åĵ į", + "ĉĉĉĉ ĉ", + "èİ ·", + "m d", + "éĻ IJ", + "è ¨", + "ĠĠĠĠĠĠĠĠ $", + "Ġgr ad", + "Ġм Ñĥ", + "h and", + "Ġinde pend", + "Ġmean ing", + "v oid", + "Ġf ail", + "Ġw idth", + "Ġthe refore", + "è¯ ·", + "d es", + "Ġfr ame", + "r ict", + "Ġwant ed", + "m ing", + "ort s", + "Ġ} );", + "Ġspe ed", + "æµ İ", + "Ġadd itional", + "Ġhe ld", + "ĠN ULL", + "In fo", + "M ap", + "E qu", + "rou ps", + "A G", + "éĴ ±", + "ĠE urope", + "çŁ¥ éģĵ", + "th on", + "åİ Ĩ", + "Ġread y", + "c a", + "ĠM ore", + "ern el", + "ole an", + "Ġ= Ġ$", + "c ast", + "Ġst ates", + "Ġmult iple", + "第 ä¸Ģ", + "Ġl iter", + "N ode", + "ab la", + "æĥħ åĨµ", + "æ¨ ¡", + "val id", + "Ġprov ides", + "op h", + "Ġsa ve", + "pl ace", + "ĠO b", + "éĺ ³", + "Ġг ÑĢа", + "S he", + "R ead", + "ĠÐ ķ", + "åĻ ¨", + "y ing", + "it ing", + "ill a", + "Ġm ent", + "The n", + "U p", + "Ġch all", + "s u", + "åģ ¥", + "м ен", + "plic ation", + "产 åĵģ", + "Ġval id", + "ens ive", + "ÑĢе з", + "ch i", + "ĠB ar", + "ide red", + "对 äºİ", + "Ġpol it", + "Ġ} ,", + "Ġacc om", + "Ð ł", + "Ġins ide", + "ver se", + "è½ »", + "Ġfam il", + "Ñĩ ни", + "æĬĢ æľ¯", + "è¨ Ģ", + "f in", + "ĠA m", + "æŀ Ħ", + "Ġto wn", + "Ġcl ient", + "Ġ q", + "Ġim medi", + "好 çļĦ", + "ic le", + "æĻ ¯", + "å§ Ķ", + "le ge", + "ian a", + "j ava", + "Ġeas ily", + "çī Į", + "se lect", + "if ier", + "B e", + "Ġ\\ ,", + "ç ¢", + "å ĭ", + "ens ity", + "d t", + "Ind ex", + "an ch", + "Ġse us", + "è¿Ļ äºĽ", + "Ġincre ase", + "è´ £", + ". '", + "Ġd ou", + "cent er", + "ord in", + "ç§ ¯", + "Ġbl og", + "() )", + "m ult", + "Ġs qu", + "` `", + "ap i", + "at form", + "Ġin form", + "å¾ ·", + "Ġw ays", + "Ġhe ar", + "P ath", + "Ġl anguage", + "oc s", + "it ats", + "Ġpart y", + "åĽ½ 家", + "O ne", + "Ġt ax", + "ç® Ĺ", + "Ġcon nection", + "åı Į", + "Ġlook s", + "Ġbe com", + "Ġartic le", + "ç» Ī", + "I R", + "pl it", + "ent y", + "Ġгоди на", + "Ġdirect ly", + "管 çIJĨ", + "æĺ Ł", + "Ġm is", + "Ġsw itch", + "è¿ ľ", + "Ġun ique", + "Ġl iving", + "Ġbe gan", + "Ġc ast", + "åĨ ľ", + "rup t", + "ç« Ļ", + "h ood", + "Ġl ost", + "é¢ Ħ", + "Ġus ers", + "ĠS m", + "Ġst ore", + "èIJ ½", + "Ġb lo", + "Ġse c", + "ĠSt ate", + "u k", + "Ġf elt", + "Ġass ist", + "Ġanal ysis", + "P l", + "t itle", + "ĠS ome", + "д ен", + "Ġdes prés", + "Ġsc ript", + "E nt", + "æĹ ©", + "Ġseem ed", + "Ġrem ove", + "c all", + "äº ²", + "esc ription", + "Ġfam ÃŃ", + "Ġrec ogn", + "und red", + "ä» ½", + "Ġsom et", + "Ġa pt", + "Ġyour self", + "Ġf air", + "ĠG l", + "Ġn ames", + "h ost", + "ĠC ount", + "Ġd ir", + "ap ter", + "sh ip", + "é» Ħ", + "Ġpack age", + "i am", + "å£ «", + "æĸ¹ éĿ¢", + "æ± Ł", + "大 çļĦ", + "ill ed", + "Ġmethod s", + "ug ht", + "Ġatt empt", + "ĠP e", + "st art", + "ò ria", + "h am", + "åĪ ĩ", + "ĠUn ited", + "ж а", + "Ġw ish", + "ne xt", + "ge q", + "å¾ ®", + "ä¹ ī", + "Ġ( )", + "ob ile", + "ç» ´", + "ĠD ep", + "ä¸Ģ äºĽ", + "åº ķ", + "any a", + "Ġform at", + "ĠA ct", + "in ner", + "ĠF rom", + "in y", + "ere nt", + "ĠS im", + "or ing", + "p ass", + "g s", + "[ ]", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ<", + "åIJĮ æŶ", + "at ives", + "Ġbeh av", + "O D", + "Ġ ~", + "Ġparamet ers", + "r angle", + "Ġinf lu", + "Ġs end", + "Ġcons idered", + "Ġim ag", + "right arrow", + "h i", + "Ġco ver", + "Ġb rought", + "press ion", + "Ġsign al", + "i ant", + "ĠÐ ¶", + "Con text", + "Ġw ood", + "d ing", + "le te", + "S er", + "d raw", + "Ġstr ateg", + "Res ult", + "\" ../../", + "éĩ ĩ", + "ç» Ĩ", + "ac ion", + "oc ks", + "Ð ļ", + "Ġsu ff", + "N ew", + "Ð IJ", + "O L", + "g y", + "Ġbo ard", + "Ñģк иÑı", + "re ate", + "Ġcho ice", + "ĠM od", + "Ġatt ack", + "æ¸ ©", + "ÑĬ н", + "Ġmed ia", + "Ġpos itive", + "äº ¬", + "Ġon es", + "ĠR ob", + "Ġaff ect", + "ä¾ Ŀ", + "Ġb al", + "Ġmach ine", + "it ect", + "ch ange", + "Ġmill ion", + "ä¸į èĥ½", + "Ġest im", + "A ct", + "iv a", + "Ġout side", + "éĻ ©", + "Ġcontin ue", + "ĠJ an", + "Ġtra vel", + "Ġmem ory", + "z z", + "def ault", + "qu ot", + "pt y", + "n es", + "Ġor d", + "ĠR ec", + "p arent", + "ĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "Ġsub st", + "che ck", + "H ere", + "Ġele ments", + "çĸ Ĺ", + "w id", + "Ġdat abase", + "Ġconnect ed", + "\\ }", + "in fo", + "ĠĠĠĠĠĠĠĠ ĠĠ<", + "è ŀ", + "Ġread ing", + "bo ot", + "Ġfunction s", + "èĭ ±", + "Ġn ature", + "æĭ ī", + "b ased", + "Ġd riv", + "èį ¯", + "b ase", + "è ij", + "ate ix", + "b and", + "Ġnew s", + "Ġpo or", + "Ġloc ation", + "kn own", + "ĠC ons", + "us r", + "Ġreg ion", + "Ġbu ilt", + "/ **", + "g en", + "ĠC ap", + "em a", + "us ing", + "Ġe conom", + "Ġcomm unic", + "Con fig", + "Ġse qu", + "ĠE m", + "ach ing", + "Ġm it", + "Ġ ir", + ") (", + "an es", + "Ġav oid", + "ĠD on", + "ĠO f", + "k top", + "ä¸Ģ å®ļ", + "Ġgr an", + "g ener", + "M S", + "Ġequ ip", + "at re", + "å¦ Ī", + "ĠB u", + "Ġmod ern", + "æĪIJ 为", + "v i", + "al u", + "ell a", + "Ġg ames", + "c er", + "Ġfix ed", + "arc el", + "ĠA g", + "r ar", + "Ġrec ent", + "ĠA S", + "oc al", + "Ġdist ribution", + "i ers", + "æĭ ©", + "av y", + "Ġd ouble", + "Ġsent ence", + "Ġhapp y", + "æ´» åĬ¨", + "st ate", + "Ġм о", + "C C", + "åĽ Ń", + "ĠJ ust", + "èģ Į", + "Ġcap t", + "ch an", + "Ġl abel", + "Ġl as", + "Ġwh om", + "o e", + "con f", + "cre ate", + "ĠI D", + "Ġcol lect", + "Ġoff ice", + "æķĻ èĤ²", + "ä¸ĸ çķĮ", + "C ode", + "ç© ¶", + "Ġem ail", + "it ar", + "******** ********", + "çĬ ¶", + "M A", + "ren ch", + "Ġset ting", + "bl ock", + "Ġtyp es", + "uf act", + "Ġro le", + "e ks", + "Ġdist ance", + "Ġgo es", + "w hat", + "ve c", + "åİ ĭ", + "Ġany one", + "æĻ º", + "Ġc y", + "à ½", + ". ]", + "w ide", + "Ġitem s", + "Ġsomet imes", + "Ġd og", + "ac ing", + "em ents", + "ou l", + "ĠCh ar", + "Ġde ad", + "Ġand roid", + "Ġcomp os", + "A tt", + "U L", + "S ervice", + "éĿ Ĵ", + "Ġper cent", + "ĠEl s", + "over line", + "Ġser ve", + "å± ŀ", + "A fter", + "s he", + "ĠK ing", + "ĠT HE", + "åij ³", + "Ġ( !", + "ight s", + "åij ¢", + "ÑĤе л", + "orith m", + "opt ion", + "li ent", + "Ġdi vers", + "社 ä¼ļ", + "var phi", + "B ig", + "ap ache", + "Ġh our", + "Ġt im", + "Ġn or", + "ĠH er", + "O ut", + "p an", + "ĠS un", + "Ar ray", + "å° Ķ", + "Ġm ix", + "Ġgir l", + "Ġexper i", + "ĠI S", + "un k", + "Ġpass ed", + "Ġpri or", + "cont ent", + "ÃŃ a", + "re qu", + "Ġindust ry", + "et urn", + "Ġex cept", + "h ol", + "s i", + "n ic", + "x y", + "åº ·", + "Ġj ava", + "Ġeng ine", + "b olds", + "enc ed", + "å£ °", + "O P", + "Ġsa f", + "Ġexact ly", + "c irc", + "éĩį è¦ģ", + "p at", + "oc ol", + "ç»ı æµİ", + "as te", + "in ally", + "ig o", + "bolds ymbol", + "Ġc and", + "ous ly", + "ac hes", + "ĉĉ <", + "ur ance", + "Ġc ateg", + "ĠSt ates", + "æĮ ī", + "e ix", + "но ÑģÑĤ", + "Ġj ud", + "æŁ IJ", + "h is", + "R eg", + "使 çĶ¨", + "fra k", + "Ġpre vent", + "Ġide as", + "Ġs rc", + "Ġci ut", + "qu ery", + "al le", + "æ ¥", + "Ġdet ect", + "д Ñĥ", + "ĠS ee", + "P er", + "Ġus es", + "q l", + "x x", + "Ġcurrent ly", + "Ġref er", + "Ġto wards", + "Ġv oice", + "Ġa verage", + "T able", + "Ġany s", + "over n", + "Ġb all", + "ç¦ ı", + "Ġfe et", + "éĢī æĭ©", + "id ge", + "& \\", + "L og", + "Ä Ľ", + "Ġsup ply", + "çļ ®", + "Ġs old", + "ffic ient", + "S ize", + "I V", + "ĠL ond", + "g n", + "ĠL ord", + "Ġtrans form", + "éħ Ĵ", + "Ġc op", + "Ġvi ol", + "Ġqu ery", + "Ġco ok", + "ve y", + "[ \\", + "Tr ans", + "Ġprofess ional", + "Ġoff ers", + "Ġwork ed", + "H and", + "Ġgl obal", + "Ġe ren", + "id ay", + "Ġde b", + "Ġparamet er", + "Ġrem ember", + "Ġcomp ar", + "éĤ£ ä¹Ī", + "ĠS outh", + "u ge", + "Ġallow s", + "Ġin n", + "Ġb atter", + "Ġ|| Ġ", + "ĠC ity", + "it c", + "Ġc ell", + "Ġcom fort", + "att le", + "Ġl ate", + "ĠP C", + "Ġim m", + "Ġocc ur", + "Ġpre p", + "ĠE s", + "olog ical", + "Ġde part", + "Ġh undred", + "å®ī åħ¨", + "éĻ į", + "Ġfe ed", + "Ġc atal", + "ĠS ch", + "so ft", + "Ġfor ce", + "ç¾ ¤", + "uff er", + "il i", + "ers ion", + "Ġun s", + ", --", + "Ġcompan ies", + "m as", + "ĠM iss", + "gr ad", + "Ġper haps", + "qu es", + "E st", + "ig ation", + "Ġrece ive", + "r ation", + "б а", + "h line", + "Ġent er", + "ĠR ev", + "Ġsh ip", + "ĠN orth", + "f low", + "act ive", + "å ¡", + "re et", + "ĠM ark", + "Ġd if", + "//// ////", + "anc ial", + "Ġ ÑĨ", + "Ġr andom", + "Ġch arg", + "ĠC atal", + "ĠA ut", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "é ¸", + "F I", + "Ġd ed", + "èĻ ½", + "ec ause", + "pre t", + "Ġn one", + "}, \\", + "ĠB rit", + "S ystem", + "un ction", + "Ġph one", + "Ġal one", + "ĠP res", + "Ġth row", + "f oot", + "ç os", + "Ġman agement", + "Ġmult i", + "æŀ Ĺ", + "RO M", + "arg in", + "è¯ Ń", + "åħ ħ", + "Ġag re", + "Ġt ask", + "åѦ çĶŁ", + "è´ Ń", + "åį Ĭ", + "l in", + ", '", + "loc al", + "b ra", + "ĠM c", + "it able", + "и л", + "ä½ľ 为", + "Ġto ol", + "Ġt al", + "it ter", + "at ge", + "Ġim ages", + "Ġcom ment", + "s f", + "ĠD E", + "so le", + "Ð Ŀ", + "Ġcom pl", + "} ).", + "ä¼ ¤", + "åIJ ¬", + "p ol", + "inst all", + "б е", + "c ap", + "ĠG erm", + "Ġconc ern", + "ĠH ar", + "Ġproper ties", + "Ġg old", + "c ing", + "includ e", + "Ġcent er", + "m ark", + "LE CT", + "enc ies", + "Ġrelations hip", + "im ents", + "Man ager", + "Ġal tern", + "Ġstre ng", + "Ġinclud es", + "iz es", + "ĠA nt", + "Ġphys ical", + "but ton", + "Ñ Į", + "å ł", + "ä¸ ¥", + "Ġnum er", + "Ġbec ame", + "atic ally", + "ud a", + "de red", + "åĩº çİ°", + "ĠS ec", + "In ter", + "Ġassoci ated", + "Ġt ree", + "Ġabs ol", + "Ġres ol", + "è¿ĺ æľī", + "ser ver", + "ĠF ig", + "a res", + "ĠTr ans", + "iv en", + "m iss", + "Ġobtain ed", + "ĠA ust", + "w ell", + "E E", + "Ġne igh", + "ä¾ ĭ", + "T S", + "Ġy es", + "a ix", + "Ġest at", + "ac ional", + "ĠD is", + "Ġr out", + "======== ========", + "ç Ĩ", + "Ġ ut", + "æ¯ į", + "Ġan im", + "æĿ ¿", + "Ġa ix", + "e ch", + "Ġchar ge", + "âĢ ł", + "ä¿ ®", + "Ġst ra", + "Ġsay ing", + "æī ¾", + "ef ul", + "id den", + "å¯ Į", + "Ġlet ter", + "ĠO F", + "çķ Ļ", + "et c", + "à ±", + "oci ety", + "设 计", + "ust er", + "Ġatt ention", + "е ÑĤо", + "Ġar r", + "èŀ į", + "ĠN et", + "ab s", + "or ge", + "ä¸Ń çļĦ", + "åĿ ļ", + "åİ ¿", + "Ġw ife", + "ail y", + "n y", + "Ġhom es", + "æĿ İ", + "Ġst ar", + "æ£ Ģ", + "Ġquick ly", + "å± Ĥ", + "ж и", + "Ġк ÑĬ", + "def ine", + "Ġt ouch", + "M essage", + "ra int", + "Ġdesign ed", + "Ġc ele", + "Ġd urant", + "Ġw ind", + "Ġcont ains", + "Ġsur pr", + "D B", + "A A", + "åĿ ĩ", + "math frak", + "ib ly", + "Ġg one", + "ir ing", + "äºĨ ä¸Ģ", + "j a", + "Ġa f", + "è· Ł", + "ĠÐľ а", + "i pe", + "Ġse curity", + "å½± åĵį", + "Ġl ed", + "ĠW orld", + "Ġacc ur", + "ad ors", + "ĠH ol", + "éŁ ³", + "ĠN e", + "çĽ Ĭ", + "ĠMr s", + "æĺ ¥", + "Ġp ull", + "в ÑĬÑĢ", + "Ġsitu ation", + "Ġsur face", + "Ġpro ced", + "ĠS w", + "in i", + "Ġr isk", + "Ġtr ust", + "åº Ĺ", + "m o", + "is me", + "Ġb ur", + "Ġcon vert", + "ä¹ĭ åIJİ", + "ç® Ģ", + "Ġ row", + "çŁ ³", + "Ġprim er", + "Ġimp act", + "Ġdri ver", + "p ost", + "Ġcou ple", + "Ġare as", + "Å Ļ", + "Ġ rom", + "Ġcont ract", + "Ġens ure", + "Ġeffect ive", + "Ġchang ed", + "Ġrec ently", + "ĠM ad", + "Ġact ive", + "y ear", + "ub e", + "anc y", + "Ġm ort", + "E s", + "æķ ħ", + "ock et", + "Ġs leep", + "äº ī", + "u gh", + "h ow", + "Ġref erence", + "im age", + "Ġm a", + "ĠS chool", + "Ġhe ight", + "Ġinterest ing", + "R ec", + "Ġpur pose", + "è´ ¢", + "Ġdire ction", + "The y", + "ÑĢе д", + "Ġm ateix", + "项 缮", + "Ġtechn ology", + "Ġfollow ed", + "Ġrest a", + "ĠP at", + "d at", + "m es", + "Ġbl ue", + "Ġde p", + "åĪ Ĵ", + "ĠP al", + "Ġw ide", + "y nt", + "ĠA ug", + "c s", + "l ong", + "åĩ ı", + "g t", + "ĠS ince", + "pt ions", + "Ġevery one", + "Ġbook s", + "O ur", + "Ġstat us", + "Ġch ance", + "T H", + "M P", + "Ġde mand", + "Ġcomplet ely", + "æĬķ èµĦ", + "c ore", + "iv il", + "Ġe p", + "æ ĵ", + "å± ħ", + "åħ ļ", + "ĠU p", + "Ñī и", + "Ġse a", + "Ġm i", + "re p", + "Ġcou n", + "åŃ £", + "å² ģ", + "Ġn ice", + "Ġha ir", + "app ing", + "æĢ İ", + "ĠA ng", + "åĶ ®", + "èĮ ĥ", + "Ġst ream", + "Ñħ о", + "éĶ Ļ", + "é¦ Ļ", + "èī º", + "m itted", + "ĠUS B", + "f s", + "è¿Ļ ç§į", + "Ġsh op", + "Ġdis k", + "we b", + "amet er", + "ĠH igh", + "Ġco ol", + "Ġpract ice", + "ú s", + "Ġ= ==", + "ĠN ational", + "ut s", + "ĠS E", + "Ġsol utions", + "ĠP ort", + "C he", + "ens ions", + "st ruct", + "Ð ŀ", + "Ġrel ig", + "Ġcustom ers", + "f ord", + "Ġg reen", + "Ġmain tain", + "Ġrecomm end", + "Ġp en", + "Ġlarg er", + "å® ³", + "ĠD av", + "å° ½", + "lÃŃ cul", + "Ġf resh", + "p a", + "c ss", + "Ġcon duct", + "Ġpol icy", + "Ġthe ory", + "Ġ_ _", + "è¯ Ħ", + "Ġvari able", + "ĠA cc", + "Ġconst ruct", + "æĺ¯ ä¸Ģ", + "Ġful ly", + "Ġt ip", + "ĠA ND", + "Ġinclud ed", + "p age", + "æĿ IJ", + "Ġth ous", + "] )", + "oc ation", + "Ġst ru", + "以 åıĬ", + "ic ient", + "ĠGo ogle", + "è§ Ĵ", + "c ar", + "Ġp al", + "Ġst eps", + "Ġr at", + " »", + "Ġmem ber", + "pos s", + "ç¾İ åĽ½", + "u ct", + "N S", + "Ġf igure", + "и з", + "r un", + "m ain", + "ÑĤ Ñĥ", + "C ount", + "sm all", + "Ġev alu", + "è¡ ¥", + "Ġt err", + "uc ió", + "Ġus eful", + "A ss", + "ĠSt ud", + "y ond", + "Ġun it", + "Ġfield s", + "Ġb ill", + "Ġpro gress", + "åı ¤", + "Ġpro of", + "Ġpart ition", + "e ff", + "æ¯Ķ è¾ĥ", + "é¾ Ļ", + "ÑĤ ÑĢа", + "l angle", + "é» ij", + "d ir", + "ĠS an", + "D ate", + "å¿ µ", + "çİ ©", + "主 è¦ģ", + "h as", + "Ġreturn ed", + "Ġcar ry", + "ĠW est", + "ic o", + "Ġs ong", + "mod el", + "æľ ĭ", + "åħ į", + "au gh", + "åĪ Ŀ", + "te red", + "Y es", + "åĪ Ĺ", + "nc ia", + "Ġf ear", + "ate ver", + "åĩ »", + "ĠR em", + "Ġm ess", + "æŃ »", + "j o", + "åıij çİ°", + "Ġsl ight", + "ot es", + "ä¸į ä¼ļ", + "ass ert", + "èĢĮ ä¸Ķ", + "? ?", + "Ġform er", + "Ñģ ÑĤе", + "е к", + "se mb", + "em bre", + "Ġf et", + "Ġm unicip", + "Ġprincip al", + "a quest", + "n ames", + "\\ %", + "æī ¿", + "er ia", + "C all", + "ĠÐ Ĺ", + "F A", + "è® ²", + "ash ing", + "wo od", + "Ġin cl", + "Ġp air", + "Ġs av", + "Ġget s", + "æĸĩ åĮĸ", + "Ġph ase", + "it ation", + "Ġest aven", + "Ġd ynam", + "un ities", + "L ambda", + "text it", + "ld ots", + "åľ Ł", + "æĿ¥ çļĦ", + "è Ń", + "con s", + "Ġm al", + "в Ñı", + "缮 åīį", + "Ġqu ar", + "Col or", + "ish ing", + "Ġun ivers", + "Ġve h", + "u a", + "建 设", + "not e", + "S ub", + "Ġst aff", + "l ang", + "U ser", + "L ay", + "h ad", + "en y", + "Ġsa fe", + "ial og", + "ació n", + "Ġalt res", + "Ġbo y", + "Ġdescrib ed", + "in ct", + "Ġb ottom", + "AB LE", + "Ġm aster", + "Ñģ но", + "ĉ &", + "Ġin sp", + "ul ations", + "ar ily", + "Ġpict ure", + "il ed", + "ound s", + "app a", + "Ġf ont", + "Ġgiv ing", + "Ġnum bers", + "ak er", + "Ġwe eks", + "é ²", + "her n", + "ĠA pr", + "ex p", + "Ġdeg ree", + "ÑĬлга ÑĢ", + "Ġm er", + "çĽ ĺ", + "Ġsc ale", + "Ġexpress ion", + "ĠP ost", + "Ġc ert", + "Ġthink ing", + "d et", + "Ġeffect s", + "ir th", + "èĥ½ å¤Ł", + "ri ef", + "Ġc atch", + "U E", + "U M", + "ĠR ed", + "w orks", + ". \\", + "at ory", + "as ons", + "ж да", + "Ġc ry", + "Ġac qu", + "ĠG eneral", + "éĥ¨ åĪĨ", + "åѦ ä¹ł", + "ial s", + "ard en", + "ab y", + "åŁ Ł", + "Ġsp irit", + "ri ve", + "Ġcompon ent", + "bu ild", + "ĠN OT", + "Ġam az", + "Ġb order", + "æĹ ħ", + "ĠV a", + "人 æ°ij", + "Ġexec ut", + "ur t", + "Mod el", + "Ġcol lection", + "oc r", + "Ġm es", + "Ġal though", + "ç³» 绣", + "e es", + "ç ¿", + "åħ¶ å®ŀ", + "ĠWh ile", + "ä¸Ĭ çļĦ", + "Ġc ada", + "å¸ ®", + "Ġb i", + "O W", + "de b", + "ov a", + "Ġм а", + "Ġv iv", + "Ġg as", + "al ing", + "h ome", + "Ġ} ;", + "æ± ½", + "ĠO ct", + "c p", + "ни к", + "Ġdirect ory", + "ĠÐĿ а", + "cur rent", + "ac er", + "Ġh op", + "åĨ Ļ", + "åĽ ´", + "人 åijĺ", + "èŃ ¦", + "k y", + "ĠB ro", + "Ġpie ce", + "un es", + "ri e", + "æľĭ åıĭ", + "иÑĤе л", + "art ment", + "ens ure", + "Ġopport unity", + "cite p", + "Ġbro ad", + "V ER", + "æĪĸ èĢħ", + "lo ok", + "ĠÐŁ о", + "ere nces", + "en ame", + "ĉ {", + "Ġin j", + "Ġman ufact", + "Ġmat rix", + "om a", + "Ġz ero", + "ĠD ef", + "Ġg roups", + "Ġbut ton", + "ug in", + "] :", + "è´ Ł", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ<", + "èĥ½ åĬĽ", + "ell ent", + "| ^", + "Ġar m", + "Ġre pe", + "ÑĦ и", + "ä¸į åIJĮ", + "Ġstart ing", + "çŃ ĸ", + "Ġar riv", + "Ġd ress", + "al d", + "Ġfor t", + "c ase", + "or row", + "Ġlead ing", + "ĠR E", + "it ants", + "èĪ ¬", + "Ġcon v", + "è¦ģ æ±Ĥ", + "k a", + "в ен", + "p erson", + "Ġп е", + "ĠL es", + "pect ed", + "к е", + "Ġ ign", + "ĠL ist", + "Ġbe yond", + "Ph i", + "æ ¤", + "C an", + "Ġlat est", + "ch ar", + "ĠWh y", + "ĠF irst", + "ĠS ub", + "Ġh it", + "ĠP ark", + "D es", + "Ġt er", + "Ġprodu ction", + "go ogle", + "il de", + "ist ics", + "Ġro ll", + "Ġdou bt", + "z a", + "Ġв и", + "arcel ona", + "å¾ ħ", + "Ġtr uth", + "æŃ ¢", + "çł ´", + "ĠLond on", + "Ġthrough out", + "ĠV ol", + "ad em", + "äº Ĵ", + "Ġequ al", + "Ġ «", + "om s", + "Ġs am", + "Ġblo od", + "Ġdef ine", + "Ġre ach", + "( (", + "k ing", + "cl es", + "Ġcorrespond ing", + "çī Ī", + "Ġed ge", + "Ġtem por", + "Ġtemper ature", + "AL L", + "Ġc at", + "Ġm id", + "Ġfor ma", + "Ġapplic ations", + "Ġop in", + "Ġm icro", + "æĻ ®", + "s a", + "ch ild", + "act ory", + "Ġintern al", + "on ly", + "T D", + "äº ļ", + "Ġadv ant", + "op en", + "Ġre nd", + "on i", + "E X", + "in n", + "P r", + "C lient", + "f ol", + "Ġset tings", + "ĠS al", + "il ing", + "itc hen", + "c her", + "Ġp ued", + "a ctions", + "Ġv ict", + "åį ı", + "S P", + "ä¸į è¦ģ", + "äº ij", + "u ary", + "ĠS QL", + "Ġke pt", + "d ist", + "ow s", + "Ġf ailed", + "ag o", + "lla ços", + "an o", + "Ġallow ed", + "éĵ ¶", + "ĠH ouse", + "g ar", + "ic ed", + "ev ent", + "Ġv ac", + "èµ· æĿ¥", + "D is", + "åį ĥ", + "ä¸ ¾", + "ag on", + "Qu ery", + "up s", + "Ġcele br", + "è¯ »", + "åĸ Ħ", + "к Ñĥ", + "Ġconfig uration", + "h ouse", + "èĻ½ çĦ¶", + "id o", + "if orm", + "ag ue", + "æĽ ¾", + "cl ient", + "Ġey e", + "se m", + "ang ed", + "oth ing", + "ĠF rench", + "N ote", + "E nd", + "C D", + "æ² ³", + "n abla", + "at ively", + "O h", + "sub set", + "el ine", + "Ġgrow th", + "Ġess ential", + "Ġoff ic", + "ĠÑģ ÑĤа", + "åı ²", + "Ġinde ed", + "al y", + "d im", + "Ġtreat ment", + "æıIJ ä¾Ľ", + "Ġj a", + "Ġear th", + "re ct", + "Ġex terns", + "но ÑĤо", + "us ion", + "Ġstra ight", + "or ia", + "it ors", + "} ),", + "л Ñİ", + "Ġass ume", + "Ġgener ally", + "æĻ ļ", + "Ġf ight", + "Ġent ry", + "U P", + "ĠO ff", + "Ġex ists", + "i Ãł", + "çĶ »", + "Ġmax imum", + "åIJ ¦", + "ly ing", + "Ġcertain ly", + "m box", + "k appa", + "Ġg ent", + "å® ĺ", + "H T", + "Ġmol t", + "ot o", + "\\ !", + "Ġplay ing", + "ĠAl so", + "Ġpref er", + "Ġequ ival", + "ÑĪ е", + "Ġappro pri", + "è¿Ļ ä¸Ģ", + "Ġopt im", + "est s", + "Ġcap ital", + "Ġclos ed", + "Ġhab itat", + "is hes", + "Ġser ious", + "re y", + "Ġпо д", + "f alse", + "å¿ Ĺ", + "Ġfact or", + "Ġcons ult", + "Ġeduc ation", + "the n", + "Ġciut at", + "re es", + "er ior", + "Ġhapp en", + "ĠAmer ica", + "å¾ ĭ", + "æ¹ ĸ", + "çłĶ 究", + "Ġexper iment", + "f irst", + "con tain", + "ĠO S", + "is ions", + "Ä į", + "ro y", + "A b", + "çª ģ", + "En llaços", + "Ġl ives", + "he ight", + "bt n", + "Ġme chan", + "åIJ §", + "C K", + "Ġappro xim", + "ä¸į è¿ĩ", + "ĉĉĉ <", + "为 äºĨ", + "ĠS ol", + "Ġc u", + "as ion", + "r ase", + "Ġlevel s", + "ĠA c", + "Ġf ig", + "Ġne arly", + "P U", + "çĽ ij", + "Ġfil m", + "r d", + "ĠĠĠĠ $", + "Ġve ctor", + "Ġp are", + "li er", + "Ġap pre", + "ul ate", + "Ġpre m", + "gr ade", + "and roid", + "Ġt res", + "Ġhe at", + "Ġdec ided", + "AM E", + "row ser", + "Ġgreat er", + "åį ļ", + "ot ed", + "Ġcon ver", + "r is", + "ĠCl ass", + "it ory", + "Ġfeel ing", + "Ġtre ball", + "ig en", + "ith ub", + "ĉĉĉĉ <", + "it ution", + "IN E", + "Ġc old", + "ber t", + "Ġstat ement", + "S up", + "ul s", + "Ġimmedi ately", + "Ġto ols", + "åħ ´", + "Ġman ner", + "çĭ ¬", + "l ig", + "r um", + "Ġcompon ents", + "Ġpl aces", + "Ġcom o", + "o es", + "ÃŃ st", + "Ġdat as", + "Ġf irm", + "ĠM arch", + "T O", + "Ġres ources", + "y thon", + "в ÑĢи", + "H z", + "ot imes", + "om b", + "Ġse x", + "Ġab ility", + "Ġb ank", + "ensure math", + "Ġindepend ent", + "Ġp riv", + "n ull", + "æĪ ı", + "A ut", + "éĢ ģ", + "Ġobserv ed", + "åIJ ¸", + "Ġdis s", + "Ġs in", + "Ð ľ", + "ç ĵ", + "Ġsol id", + "çı Ń", + "Ġj o", + "æ ¿", + "Ġ ;", + "sq l", + "ĠCent er", + "Ġgo al", + "Ġcomp ared", + "Ġ ing", + "im a", + "è¯ ī", + "Ġdev ices", + "ние ÑĤо", + "Ġ> Ġ", + "个 人", + "åĸľ 欢", + "ĠпÑĢе д", + "le vel", + "m ail", + "Ġcons um", + "er ve", + "Ġsk in", + "åº §", + "Ġanal y", + "èĤ ī", + "Ġoper ation", + "Ġfil ter", + "åģ ľ", + "c el", + "Ġset s", + "Ġmod ule", + "S QL", + "ма н", + "an ys", + "Ġrequ ires", + "å· ®", + "Ġ` `", + "Ġsum mer", + "åħ¶ ä»ĸ", + "æĸ¹ å¼ı", + "åº ľ", + "è¯ ¾", + "ĠM ag", + "Ġbr and", + "Ġmeet ing", + "Ġo il", + "\" #", + "re r", + "ĠWe b", + "] (", + "he st", + "Ġcustom er", + "ist ry", + "Ġbro ther", + "ct ors", + "ic ense", + "Ġre lease", + "iz er", + "ÑĦ иÑı", + "Ġpl atform", + "äº «", + "ä¿¡ æģ¯", + "s y", + "çŁ Ń", + "Ġk ernel", + "Ġt end", + "Ġvari ety", + "Ġappe ars", + "Ġd ream", + "å¸ Į", + "Ġoff icial", + "Ġlay er", + "åı ¦", + "åŁİ å¸Ĥ", + "æł ¸", + "ourn al", + "æ ¦", + "d ot", + "ва ÑĤа", + "Ġbegin ning", + "ar ies", + "h ave", + "ĠM art", + "c os", + "Ġst d", + "Ġw arm", + "âĢ ¢", + "Ġaut o", + "Ġloc ated", + "Ġexist ing", + "åį ¡", + "Ġselect ed", + "Ġr ule", + "大 åѦ", + "Ġgr and", + "Ġc os", + "ĠAn y", + ", -", + "ĠM us", + "s pec", + "con nect", + "Ġro t", + "ĠM or", + "ĠfamÃŃ lia", + "ĠO pen", + "z y", + "plic it", + "Ġv el", + "F irst", + "л ен", + "m ethod", + "Ġt ill", + "ĠB arcelona", + "Ġinter face", + "Ġline ar", + "Ġstreng th", + "ie ved", + "[ \"", + "Ġap plied", + "æĭ ħ", + "p ng", + "ĠC amp", + "ul ated", + "Ġg ain", + "Ñĩа ÑģÑĤ", + "ĠJ o", + "> >", + "und le", + "Over ride", + "Ġw indows", + "Se lect", + "Ġpred ict", + "Ġcent ral", + "Ġp ow", + "ant ic", + "ĠL em", + "Ġs ample", + "Ġ ]", + "p c", + "Ġfin ally", + "Ġfin ancial", + "al ed", + "Ġequ ation", + "Ġro b", + "认 为", + "æµ ĭ", + "çĪ ¶", + "Ġre le", + "æ ½", + "con text", + "Ġmention ed", + "Ġach ieve", + "lev ant", + "Pro perty", + "ĠBl ack", + "Ġst age", + "d s", + "Ġdec ision", + "l ast", + "Ġmit j", + "Ġrespect ively", + "ĠÐļ а", + "a el", + "ap pro", + "èı ľ", + "Ġsud den", + "od ing", + "表 示", + "% ,", + "ĠO ut", + "ĠW ar", + "am ily", + "Ġmen u", + "ка ÑĤа", + "æĦ ¿", + "Ġw ire", + "\"../../ ../../", + "Ġh us", + "Ġpro posed", + "im g", + "E L", + "æį ¢", + "Ġinf o", + "Ġhigh ly", + "Ġgu ess", + "it ary", + "Ġtrans fer", + "f ind", + "ic ks", + "Ġm ist", + "init ely", + "S igma", + "v ille", + "Ġe cho", + "ç¼ ĸ", + "ли Ñı", + "è Ľ", + "P C", + "Ġfrequ ency", + "\" ).", + "en ge", + "ĠÑģ лед", + "æĭ ¿", + "S C", + "/ \\", + "ar ant", + "Ġk ing", + "Ġcon cept", + "Ġconst ruction", + "åºĶ 该", + "ĠS T", + "ä¸Ģ 缴", + "st atic", + "Ġdesc ription", + "serv ice", + "ĠAp ple", + "Ġext rem", + "Ġlim ited", + "ribut ed", + "Ġj oin", + "Ġex erc", + "å ĺ", + "pack age", + "Ġf em", + "Ġd ensity", + "F il", + "Ġm as", + "ro te", + "ĠL ib", + "Ġhand le", + "empl ate", + "Ġconst ru", + "N et", + "м вÑĢи", + "ĠFr anc", + "ĠEng land", + "y les", + "B ar", + "Ġbatter y", + "d ots", + "к ÑĤо", + "Ġclass es", + "P art", + "Ġk ids", + "ç» Ŀ", + "å© ļ", + "l en", + "or ph", + "o very", + "w rite", + "r at", + "Ġh ar", + "ing u", + "Ġg al", + "}} {", + "ç» ĩ", + "ĠP lease", + "è´ §", + "ar is", + "Ġbecom es", + "wh ile", + "dis play", + "Ġbas is", + "åıij çĶŁ", + "Ġb right", + "Ġt or", + "Ġ|| Ġ||Ġ", + "nt ic", + "( {", + "ç¥ ¨", + "и ÑĤо", + "Ġdes p", + "ĠR ead", + "ac le", + "p ers", + "Ġnot ice", + "Ġn il", + "ĠA re", + "Ñī о", + "p et", + "ash ion", + "app ed", + "cent ering", + "æ¿ Ģ", + "ch a", + "ç´ §", + "Ġhtt ps", + "n um", + "Ġse cret", + "Ġs udo", + "ĠSer ver", + "æīĢ æľī", + "ä¸Ģ æł·", + "Ġde mon", + "f lo", + "ĠB en", + "ÑĪ и", + "ĠPh il", + "L ine", + "ĠD ata", + "E xt", + "M ethod", + "How ever", + "ĠS M", + "ribut es", + "ra ction", + "R A", + "D F", + "ä½ł çļĦ", + "Ġst uff", + "ĠA quest", + "ĠO N", + "ĠApr il", + "C ON", + "pl ing", + "Ġcl ients", + "add ing", + "Ġm iddle", + "ĠT est", + "Ġcour t", + "Ġ ÑĢо", + "ify ing", + "Res ponse", + "Ġpass word", + "Ġe ight", + "Ġdef inition", + "h im", + "Ġinc or", + "Ġob j", + "Ġl ock", + "Ġvol ume", + "Ġest Ãł", + "Ġam pl", + "ĠÐ £", + "æĤ £", + "Ġd augh", + "St art", + "ĠS tr", + "Ġprim era", + "å® ¤", + "ib li", + "Ġe at", + "н г", + "g ithub", + "Ġr ules", + "re ly", + "In put", + "Ġmov ing", + "Ġc ab", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "p df", + "Ġc ru", + "ä¸Ń å¿ĥ", + "è Ĵ", + "åĪ ļ", + "re quest", + "Ġinvest ig", + "Ġinterest ed", + "ĠH am", + "fr ame", + "Ġcred it", + "r ics", + "è¡Į ä¸ļ", + "Ġten ia", + "ç» §", + "ĠJ une", + "Ġno ise", + "P O", + "о на", + "Wh y", + "ĠT V", + "ord s", + "Ġmaterial s", + "S ource", + "ob er", + "wid et", + "ú b", + "Ġen em", + "ĠE very", + "ER T", + "Ġs ales", + "éģ ĩ", + "Ġre ve", + "Ġb ud", + "ĠA ir", + "Ġdig ital", + "Ġswe et", + "Ġcon vers", + "Ġwe ak", + "ĠTh us", + "Ġsc en", + "æķ° æį®", + "Ġinvol ved", + "S D", + "Ġplay ers", + "Ġm iles", + "ur rent", + "ĠAr t", + "ĠSe pt", + "Ġflo or", + "ĠR uss", + "ĠG overn", + "Ġprogram s", + "c ks", + "im s", + "Ġse lection", + "Ġpresent ed", + "Ġre v", + "in te", + "Ġк ÑĢа", + "clus ion", + "Ġw el", + "Ġsmall er", + "Ġcand id", + "um s", + "Ġerr ors", + "h old", + "Ġother wise", + "ĠD ay", + "Ðĺ з", + "St ream", + "pr ime", + "l n", + "çĶ ļ", + "S tr", + "Ġman era", + "é£ ŀ", + "Ġst ood", + "s we", + "Ġhapp ened", + "f ree", + "Ġb ul", + "Ġv irtual", + "Ġobject s", + "f ill", + "Im age", + "} -", + "W ell", + "ind ing", + "n ight", + "ing er", + "Ġneg ative", + "ä¸Ģ èµ·", + "Ġmay be", + "Ġte ac", + "the y", + "i ation", + "Ġst ock", + "Ġn orm", + "ĠC our", + "åIJ «", + ") ]", + "ru it", + "Ġpro ve", + "em por", + "çľĭ åĪ°", + "b on", + "H ER", + "ĠM a", + "Ġex ternal", + "ĠIn ter", + ". --", + "ä» ĺ", + "th m", + "Ġ Ãł", + "çī¹ åĪ«", + "Ġprim ary", + "ol f", + "Ġe arn", + "Ġprodu ce", + "Ġs ession", + "I F", + "Ġcl ub", + "ĠR o", + "Ġtrans port", + "Ġcomm it", + "åħ Ń", + "us iness", + "åĵ ª", + "ell ed", + "é Ĩ", + "åģ¥ 康", + "Ð Ķ", + "' .", + "çݯ å¢ĥ", + "um in", + "Ġqu an", + "Ġpl ans", + "Ġhel ps", + "il er", + "Ġnom bre", + "G B", + "it ute", + "Ġw at", + "ĠAug ust", + "Ġded ic", + "ĠCom m", + "ĠĠ |", + "widet ilde", + "Ġgl ass", + "æĢİ ä¹Ī", + "Ġint ent", + "Ġappre ci", + "Ġreport ed", + "å Ĥ", + "non umber", + "Ġplay er", + "t arget", + "sc ale", + "å¹´ çļĦ", + "ĠF eb", + "Ġexc ellent", + "Ġstud ent", + "Ġalg orithm", + "s ystem", + "Ġunderstand ing", + "æĭ Ľ", + "Ġexpl ain", + "Ġper o", + "Ġhist or", + "ĠC O", + "Ġher self", + "éĴ Ł", + "The se", + "Ġright s", + "G roup", + "ĠT ra", + "ĠM at", + "Ġn ational", + "Ġas pect", + "Ġref lect", + "P ol", + "opt ions", + "Ġincre asing", + "a ign", + "ot ion", + "icro soft", + "Ġa ware", + "Ġf ab", + "cl aim", + "Ġwas n", + "ar p", + "æĿ¥ 说", + "r an", + "ĠM ich", + "é¢ Ŀ", + "Ġpl aced", + "a fter", + "; &", + "ä»ĸ çļĦ", + "\" ../", + "Ġhe avy", + "åĿ Ĺ", + "Ġpro t", + "Ġbas ic", + "Ġd ues", + "Ġse ves", + "Ġproject s", + "Ġarg ument", + "éķ ĩ", + "Ġ ult", + "ç½ Ĺ", + "Ġset t", + "Ġw ild", + "Ġsu fficient", + "ĠPres ident", + "Ġd ut", + "ĠPa ul", + "Ġp ages", + "ĠТ о", + "ĠJ es", + "ĠT om", + "çĹ Ľ", + "Ġd oc", + "Ġsh ape", + "U s", + "Ġinter pret", + "A cc", + "Ġst orage", + "ne ver", + "ec ut", + "Ġp els", + "Ġchall eng", + "ве ÑĢ", + "Ġeven ing", + "Ġcl oud", + "è§ī å¾Ĺ", + "C L", + "Ġh uge", + "Ġcom ments", + "Ġd aily", + "Ġn av", + "åī §", + "Ġro ck", + "all a", + "ç² ī", + "Ġsm ooth", + "Ġterm inal", + "ĠM ont", + "åħ¶ ä¸Ń", + "Ġs ale", + "第 äºĮ", + "erv ices", + "Ġl ack", + "Ġtalk ing", + "å¥ Ĺ", + "ĠE ven", + "ĠD irect", + "os en", + "X X", + "Ġform s", + "net ic", + "å· ¦", + "Ġdis e", + "Ġcreat ing", + "Ġbu ff", + "Ġad ministr", + "ed s", + "if est", + "Ġtra in", + "Ġ< <", + "а ÑĢи", + "Ġt é", + "Ġres ource", + "ounc ed", + "ĠM al", + "c ertain", + "ĠJ ap", + "èī ¯", + "Ġfa ith", + "åĵģ çīĮ", + "ĉ public", + "st ream", + "å¤ «", + "Ġch urch", + "Ġ Ñİ", + "ĠSe ction", + "\\ [", + "Ġun less", + "Ġgu ard", + "е л", + "-- -", + "æŃ ¦", + "å· ´", + "n ica", + "l or", + "k m", + "Ġpres ident", + "erv ed", + "Ġmot or", + "ri al", + "Ġwh atever", + "Ġme as", + "ĠD ev", + "Ġappropri ate", + "é ¼", + "Ġk ill", + "æł¹ æį®", + "S ON", + "P A", + "I O", + "ÑĢе н", + "ĠS ir", + "åį «", + "act ers", + "Ġh y", + "Ġparent s", + "è¿Ļ æĺ¯", + "f a", + "åħ «", + "é¡ »", + "åı ³", + "] [", + "Ġbehav ior", + "Ġf urn", + "u id", + "ed ia", + "p g", + "Ġe j", + "Ġsupport ed", + "app end", + "Ġs ources", + "Ġredu ce", + "Ġthan k", + "Ġr ap", + "æĪij çļĦ", + "are n", + "Ġw ave", + "a ud", + "an ça", + "Ġre ached", + "te x", + "ĠR ef", + "Ġdemon str", + "Ġbel ong", + "ĠIn c", + "G e", + "Ġst ri", + "ĠJ ack", + "Ġopen ed", + "I ST", + "Ãł ria", + "An y", + "tab ular", + "ĠJ uly", + "Ġsequ ence", + ") -", + "Ġc ore", + "Ġdevelop ed", + "Ġenc our", + "Ġup per", + "Ġremov ed", + "èĥ Į", + "cl os", + "æ¶Ī è´¹", + "Ġ ÑĤа", + "Ġy ield", + "Ġactiv ities", + "ä¸Ģ èĪ¬", + "i ance", + "Ġи ма", + "Ġbo ol", + "ĠT able", + "Ġsk ills", + "Ġsaf ety", + "Ġfol der", + "ap ers", + "Ġs ell", + "ä» ĭ", + "el ess", + "Ġact ivity", + "ĠT ime", + "j son", + "缸 åħ³", + "Bu ilder", + "åģ ĩ", + "R em", + "ĠCount y", + "Ġmov ed", + "Ġcirc um", + "éĵ ģ", + "ĠK e", + "Ġrel ative", + "Ġpe ace", + "Ġpres ence", + "ĠH ist", + "pro p", + "str ong", + "Ġorig in", + "Ġtra v", + "ī s", + "osp ital", + "P os", + "æ±½ 车", + "çĸ «", + "æħ ¢", + "Ġdec or", + "æľĢ åIJİ", + "Ġsuccess ful", + "ĠA fr", + "pro cess", + "B ox", + "ro ot", + "Ġin du", + "Ġgener ated", + "St atus", + "Ġhus band", + "Ġdon es", + "Âł anys", + "AR T", + "M e", + "for ce", + "Ġco ordin", + "Ġamaz ing", + "Ġpa id", + "Ġt our", + "ĠT w", + "ĠL og", + "Ġd ie", + "Ġprotect ed", + "Ġdom ain", + "ä¹ ¡", + "ĠO R", + "~ $", + "ĠG reat", + "Ġdeterm ine", + "ear s", + "Ġcom en", + "ä¸ĵ ä¸ļ", + "Ġexam ples", + "ç© ¿", + "Ġd ry", + "Ġleg al", + "Ġag ree", + "Ġno vel", + "ĠAust ral", + "ä»· æł¼", + "Ġmed ical", + "D esc", + "def ined", + "ĠN ote", + "Ġpress ure", + "ä¹ ħ", + "ber g", + "poss ible", + "ĠD el", + "æĴ Ń", + "b el", + "d l", + "Ġh ous", + "ri er", + "the re", + "Ġins urance", + "Ġ vert", + "de pend", + "com ing", + "çº ª", + "Th anks", + "all s", + "Ġpub lished", + "åį ĸ", + "ograph y", + "ĠS ervice", + "åº Ń", + "Ġpro ceed", + "Ġcost s", + "ä¸ ´", + "å¯ Ĩ", + "ä»Ĭ 天", + "Y PE", + "ĠS k", + "å® ¡", + "U B", + "v est", + "Ġcount ries", + "ĠC r", + "ĠB el", + "Ġm argin", + "Ġeff ort", + "Ġsepar ate", + "Ġn ord", + "k g", + "ç« ł", + "Ġt rip", + "Ġpr ay", + "Ġcould n", + "Ġn amed", + "Ġaquest a", + "Ġw rote", + "al a", + "ĠF ile", + "Ġ ú", + "Ġdam age", + "Ġr ank", + "Ġgu ide", + "ÑĢ Ñı", + "x ml", + "Ġsp ot", + "Ġprov iding", + "åĽł æѤ", + "col umn", + "н Ñı", + "b urg", + "з о", + "åıª æľī", + "ib er", + "ĠO ther", + "Ġdirect or", + "Ġseg ü", + "ç« ¯", + "Ġpat ients", + "Ġhapp ens", + "Ġcont ra", + "Ãł t", + "Ġev idence", + "产 ä¸ļ", + "æĸ¹ æ³ķ", + "æī ¹", + "ä¼ ¼", + "æĶ¿ åºľ", + "Ġlead ers", + "Ġfavor ite", + "alle l", + "Ġf ellow", + "in et", + "Ġd anger", + "Ġpolit ical", + "Ġintern et", + "Ġmiss ing", + "Ġoper ator", + "á s", + "ig ger", + "ä½ Ļ", + "iv o", + "Ġl ÃŃ", + "Ġcontinu ed", + "è¡ £", + "Ġins ert", + "S ince", + "g est", + "ç¨ ³", + "c at", + "ĠB er", + "å¥ ĩ", + "i ol", + "ĠB ook", + "Ġinstall ation", + "Ġb es", + "äº ®", + "ang ing", + "^ +", + "d r", + "im in", + "#### ####", + "п Ñĥ", + "Che ck", + "d ed", + "ÑĤо Ñĩни", + "T P", + "Ġmon itor", + "Ġcoun ter", + "Ġп ÑĢа", + "Ġspec ified", + "åĨħ 容", + "ou ter", + "Ġvari ables", + "å¸Į æľĽ", + "D D", + "hab itants", + "Ġsee ing", + "Ġdeterm ined", + "Ġpop ulation", + "å® £", + "j ar", + "ĠDav id", + "å¹³ åı°", + "Ġlo ved", + "Ġpan el", + "Ġsp ent", + "Ġde m", + "æī §", + "ĠS eg", + "O ff", + "Ġem pty", + "ove mber", + "Ġp ark", + "ĠHe alth", + "Ġth ick", + "Ġob vious", + "æĭ į", + "Ġcent re", + "as ks", + "ĠM o", + "Ġcont r", + "è¿ĩ ç¨ĭ", + "ĠO h", + "ĠC ast", + "úb lic", + "å®ŀ çİ°", + "> Ġ<", + "E M", + "ĠH ome", + "st ract", + "Ġm ur", + "u est", + "ĠF e", + "ĠS pec", + "ph one", + "C A", + "ÑĨ е", + "ect or", + "Ġh arm", + "Ġcon sequ", + "ĠCon st", + "w ill", + "arg s", + "åѦ æł¡", + "ce mber", + "ot hes", + "ens or", + "Ġb urn", + "Ġide al", + "é Ń", + "I A", + "Ġelect ron", + "Ġм и", + "åį °", + "é º", + "he ntic", + "' ).", + "B ase", + "Ġdescrib e", + "åĪ ĺ", + "f ont", + "H ist", + "ap pe", + "ĠM ost", + "ĠÑĦ он", + "Ð ĵ", + "Ġs igu", + "id ents", + "Ġs ymbol", + "Ġme ant", + "åĮĹ äº¬", + "æ³ ¢", + "d y", + "ĠBrit ish", + "U til", + "G L", + "âĶ Ģ", + "Ġch annel", + "åĪ »", + "f ast", + "Ġm ine", + "Ġt ables", + "ĠI P", + "Ġpurch ase", + "åħ³ ç³»", + "Ġlearn ed", + "çĶļ èĩ³", + "Ġп ÑĬÑĢ", + "çĶŁ 产", + "ã ģ", + "Ġad just", + "c ell", + "æ¯ Ĵ", + "Ġplay ed", + "Ġcons erv", + "Ġи н", + "ç»Ħ ç»ĩ", + "E m", + "Ġadd ing", + "о б", + "an i", + "Ġb ath", + "Ġto ward", + "end o", + "c it", + "Ġcrit ical", + "Ġear lier", + "ĠCal if", + "çķ ¥", + ": \\", + "ĠFr ance", + "å¥ ĸ", + "P ost", + "t ra", + "ri age", + "Ġbo olean", + "mod ule", + "ic ol", + "c r", + "Ġc ant", + "m em", + "ä¹ İ", + "Ġs en", + "C reate", + "ĠS en", + "sh ould", + "æīĭ æľº", + "Ġre asons", + "Cont ent", + "Ġth read", + "Ġqu iet", + "ĠF ree", + "id ers", + "ĠH el", + "в иÑı", + "Ġg ar", + "un ya", + "am ents", + "Ġrequire ments", + "L ast", + "ĠU s", + "m id", + "ĠV er", + "Ġtr ade", + "Ġg ra", + "} ]", + "Ġdepend s", + "æĿ ¾", + "ĠH T", + "Ġf ell", + "éĺ ¿", + "Ġb ra", + "Ġr an", + "Ġv ill", + "x a", + "Ġparticular ly", + "fort un", + "ç» ľ", + "an ç", + "Ð ¢", + "ване ÑĤо", + "A V", + "rom e", + "Ġwonder ful", + "ĠJan uary", + "Ġeas ier", + "Ġadvant age", + "a e", + "head er", + "Ġб и", + "Å ¡", + "sh ow", + "z eta", + "Ġde cre", + "iction ary", + "ry pt", + "ĠJ ose", + "ĠU se", + "å½ ķ", + "fun c", + "Ġsp read", + "æ¥ ¼", + "Ġk itchen", + "P oint", + "ĠU K", + "ur ity", + "Ġinst ant", + "Ġl atter", + "semb ly", + "Ġsp in", + "ri ver", + "j av", + "Ġincre ased", + "ĠLa w", + "Ġsit es", + "ind er", + "erc ial", + "\" ]", + "åIJ Ĺ", + "names pace", + "ç¬ ij", + "Ġdom in", + "Ġmag n", + "Ġsur round", + "w hen", + "ĠF ace", + "äºĨ 解", + "Ġcare er", + "Ġprodu ced", + "ud e", + "st ar", + "* /", + "Ġd a", + "з е", + "Ġt ick", + "å ª", + "èĭ ¦", + "C P", + "Ġtem pl", + "Ġelect ric", + "容 æĺĵ", + "G o", + "Ar g", + "Ġr ich", + "èĩª çĦ¶", + "Ġm obile", + "anc ing", + "v ari", + "Ġwould n", + "ĠC ong", + "ç» ĥ", + "s rc", + "ĠChe ck", + "Ġshow ed", + "åį ł", + "åĮ» éĻ¢", + "Ġt orn", + "Ñģк иÑĤе", + "Ġdr ink", + "Ġfin ished", + "ens ional", + "ĠM il", + "Ġfl at", + "ad ata", + "Ñĥ л", + "Ġre n", + "Ġc ivil", + "id ad", + "Ġ Ñĩ", + "ed eral", + "ĠD em", + "Ġ( *", + "ĠAss oci", + "ĠW ell", + "ĠThe orem", + "ac ement", + "z en", + "ÑĤоÑĩни ÑĨи", + "per ties", + "D on", + "c y", + "Ġb irth", + "S te", + "S pec", + "comm and", + "éĻ Ī", + "ÑĤ ÑĢо", + "Ġ== Ġ", + "Ġhav en", + "ä¸į ä»ħ", + "Ġest ud", + "ä¸ °", + "Ġadv ice", + "ed ge", + "R ep", + "Ġp ed", + "çĶ± äºİ", + "\\ ]", + "æ´ Ĺ", + "ĠM ount", + "Ġpict ures", + "ĠM ary", + "S im", + "Ġp aint", + "è¿Ļæł· çļĦ", + "Ġde ar", + "Ġpro s", + "Ġm ut", + "注 æĦı", + "uc le", + "ĠS am", + "en u", + "b ottom", + "Ġdaugh ter", + "A re", + "cl ose", + "Ġp un", + "st atus", + "Ġres pond", + "ĠF ROM", + "Ġhold s", + "ribut ions", + "Ġp ool", + "ä½ľ çĶ¨", + "Ġequip ment", + "è½ ½", + "åĽ½ éĻħ", + "Ġshow ing", + "AT ION", + "ĠM et", + "ĠE q", + "il a", + "Ġchar acters", + "èĮ ¶", + "è Ĺ", + "ĠCh urch", + "ĠE X", + "åŁº æľ¬", + "H ead", + "Ġcar ried", + "ĠUn its", + "RE E", + "ar ia", + "Ġ er", + "ĠT or", + "{ }", + "Def ault", + "ad s", + "B C", + "lay out", + "Ġb ow", + "Ġbenef its", + "sk ip", + "our ney", + "Ġknow s", + "Ġp in", + "ol es", + "Ġsh ot", + "> Ġ", + "Ġex ception", + "f it", + "Ġfor g", + "F e", + "Ġf an", + "Com mand", + "ĠTh anks", + "Ġgrow ing", + "oc a", + "ĠT ype", + "æį Ł", + "Ġsh ared", + "åľ° æĸ¹", + "Ġopin ion", + "er ies", + "Ġw id", + "ĠÐļ о", + "rib e", + "Ġun d", + "Ġbro ken", + "Ġdat os", + "swe red", + "é¡ º", + "Ġhig hest", + "ĠInd ia", + "Ġf arm", + "Ġem erg", + "ĠSt reet", + "âĶ Ĥ", + "Ġcon j", + "Ġr ace", + "Ġphot os", + "è¿Ļ éĩĮ", + "Ġit er", + "Ġlib rary", + "SE LECT", + "Ġdef in", + "fin ished", + "____ ____", + "ĠI II", + "am ing", + "Ġr ates", + "Ġwait ing", + "å ³", + "Ġrun s", + "F l", + "S ome", + "re me", + "ĠJ ames", + "om in", + "Ġeff icient", + "Ġre nt", + "Ġt u", + "Ġres olution", + "Ġst ars", + "olog ia", + "Ġfind ing", + "itz ar", + "Ġm ac", + "å¦Ĥ ä½ķ", + "Com ponent", + "Ġver b", + "ä¸Ģ 次", + "ĠR ich", + "Ġstud ies", + "st e", + "ĠThe refore", + "ad ow", + "ĠG reen", + "w in", + "æĹ ı", + "Ġoff ered", + "å¯ Ł", + "Ġrem ains", + "Ġrem ark", + "Ġmin imum", + "ĠÑĤо ва", + "Ġd ru", + "w ho", + "ab ilities", + "Inst ance", + "r Ãł", + "Ġm ir", + "åıª æĺ¯", + "it u", + "AN D", + "åĬ ³", + "Ġ Î", + "Ġo cup", + "è¿ ½", + "ка н", + "Ġmarket ing", + "Ġar rib", + "ĠSept ember", + "Ġill ustr", + "ĠG ood", + "åī ¯", + "r l", + "Ġhor se", + "te e", + "ä¸į æĸŃ", + "Ġwant s", + "al g", + "Ġsh ut", + "f ess", + "K E", + "p rivate", + "Ġreturn s", + "ĠOct ober", + "T oken", + "æĽ´ å¤ļ", + "Ġt a", + "( -", + "çļĦ äºĭ", + "Ġfun cion", + "Ġmed ic", + "Ġh acer", + "ĠY es", + "çī Ľ", + "Ġan swered", + "S p", + "Ġfin ite", + "æĵ į", + "Ġpre par", + "d i", + "Ġsp end", + ") }\\", + "ashing ton", + "ĠF igure", + "è Ĩ", + "Ġprob ability", + "own load", + "Ġdo ctor", + "G ener", + "ĠP re", + "ĠP et", + "Ġest e", + "Ġко н", + "ru ary", + "b ro", + "æ¶ ¨", + "b efore", + "O per", + "Ġt ag", + "Ġequival ent", + "Ġv s", + "Ġpack ages", + "Y our", + "Ġintern ational", + "Ġus ual", + "O pen", + "| |", + "du c", + "Ġsym met", + "Ġa x", + "M ore", + "æĭ ¥", + "ÃŃ c", + "ĠL inux", + "Ġst ress", + "ic ious", + "Ġcaus ed", + "å¤ ľ", + "ĠOb ject", + "land s", + "ele ment", + "Ðĺз ÑĤоÑĩниÑĨи", + "ç¨ İ", + "Ġtre es", + "й ÑĤо", + "Ġhabitat ges", + "èĦ ij", + "Ġad m", + "A m", + "ĠS u", + "Ġsound s", + "s g", + "B l", + "Ġt ract", + "ĠG al", + "r or", + "Ġd ied", + "Ph one", + "åŁ ¹", + "ĠCatal unya", + "Ġdef initely", + "Ġfor get", + "è¿Ľ åħ¥", + "Ġex hib", + "fr ont", + "cont rol", + "Ġp ure", + "st on", + "Ġsecond s", + "b les", + "ient e", + "ä¸ ½", + "æľ ¨", + "Ġc overed", + "æ¯ Ľ", + "Ġsim pl", + "Wh ile", + "Ġst ation", + "n umber", + "d oc", + "A ction", + "Ġstru gg", + "r ate", + "Ġindividual s", + "Ġappe ared", + "Ġexp and", + "ter m", + "Ġad apt", + "Ġconst raint", + "Ġgu arant", + "Ġth r", + "Ġre levant", + "Ġgl ad", + "P R", + "ĠIntern ational", + "é¢ ij", + "æĦŁ è§ī", + "æ¯ ķ", + "m ake", + "{ {\\", + "form at", + "ex ec", + "Ġcon ven", + "Ġtrans l", + "Ġen h", + "Ġ url", + "¤ IJ", + "UL T", + "apt op", + "è½ ®", + "s ome", + "Ġs ight", + "çĹ ĩ", + "ĠS ur", + "Ġover all", + "em p", + "ç¼ º", + "Ġc art", + "Ġman ager", + "ĠChrist ian", + "Ġво й", + "Ġexper t", + "Ġ rows", + "éĽ ¨", + "n ÃŃ", + "text width", + "h an", + "è¾ Ĩ", + "Ġan c", + "з ва", + "P T", + "éĿ ©", + "M in", + "Ġb orn", + "ter ior", + "Ġll oc", + "Ġ ubuntu", + "è ĵ", + "Ġvel oc", + "el se", + "comm on", + "omet ry", + "Ġstrateg y", + "ĠF ound", + "us hed", + "B ack", + "ĠF orm", + "ĠкÑĬ м", + "ç ¯", + "H el", + "ĠN one", + "Ġsqu are", + "he et", + "g in", + "Ġmot ion", + "atur day", + "v o", + "D A", + "Ġthan ks", + "ge bra", + "\\ \"", + "Ġt ab", + "çĦ¶ åIJİ", + "S ty", + "U I", + "ap a", + "Ġautom atically", + "m t", + "sc he", + "$ ^", + "Ġy e", + "Ġc it", + "Ġla ugh", + "Ġc row", + "ÑĪ а", + "cre te", + "Ġcle arly", + "pos es", + "Ġl uck", + "d el", + "Hand ler", + "Ġst ick", + "ä» ¤", + "Ġoper ations", + "Ġper t", + "Ġocc up", + "Ġen able", + "åĬŁ èĥ½", + "åŃĺ åľ¨", + "asc ript", + "ell ig", + "es tern", + "Ġrel ation", + "缴 æİ¥", + "Ġopen ing", + "è´ µ", + "é ±", + "æĪIJ åĬŁ", + "ĉĉĉĉ ĉĉĉĉ", + "Ġко иÑĤо", + "Ġcamp aign", + "èĤ ¤", + "in f", + "èĥ ľ", + "ĠÐŁ ÑĢез", + "Ġproper ly", + "}_ \\", + "Ġs ac", + "Ġc ó", + "Ġd u", + "ĠG roup", + "èĪ ª", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "S I", + "Ġadv ance", + "Ġarch itect", + "â ķ", + "ens es", + "Ġext ract", + "P re", + "å½ ©", + "s plit", + "up date", + "èİ· å¾Ĺ", + "ou nce", + "D C", + "ĠCh ina", + "åĩ Ģ", + "åħ¨ åĽ½", + "ĠL ou", + "L oad", + "i ors", + "ic les", + "è t", + "ed ding", + "eng o", + "ĠM em", + "L ink", + "iz ations", + "ĠPl ay", + "ĠQ ue", + "Ġv ent", + "Ġна й", + "; \"", + "Ġs oul", + "ĠA rm", + "ĠD et", + "Ġbenef it", + "Ġlo op", + "б ли", + "Ġd oll", + "å°± ä¼ļ", + "身 ä½ĵ", + "Ġatt ract", + "åĽ °", + "Ġf if", + "pos ite", + "Ġl inks", + "èĢģ å¸Ī", + "it ure", + "v ider", + "Ġg rav", + "ro t", + "r as", + "ä¸Ģ ç§į", + "åı «", + "ĠF il", + "Ġprof ile", + "Ġth ou", + "ä¸ Ŀ", + "Ġb ird", + "д но", + "all ow", + "ĠA M", + "Ġs pl", + "é± ¼", + "Ġslight ly", + "ä¹Ł ä¸į", + "ĠD ec", + "éĢ Ģ", + "C ell", + "O ptions", + "Ġby tes", + "ĠCol lege", + "ĠF in", + "Ġrest rict", + "Å ¾", + "ĠP M", + "åħ· æľī", + "Ġp ush", + "Ġfr anc", + "itz ació", + "Ġset up", + "b b", + "ant ed", + "Ġn ation", + "åĢ Ł", + "ĠWh ite", + "ON T", + "å¹ ¸", + "н д", + "ut ely", + "Ġп а", + "ĠвÑĬ в", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ent al", + "em s", + "om bre", + "ä½ Ľ", + "ä¸ ĥ", + "ç§ Ģ", + "æIJ Ń", + "ĠR eturn", + "Ġc ried", + "ò g", + "P lease", + "ĠE nt", + "Ġorgan ization", + "Ġperform ed", + "men u", + "Ġdel iver", + "éĿ Ļ", + "Ġtrans ition", + "Ġcomen ç", + "or ry", + "ç§ij æĬĢ", + "Res ource", + "ed er", + "ĠE ach", + "N ext", + "pro perty", + "N ull", + "æĭ ¬", + "R L", + "Ġar ms", + "N umber", + "ĠÐ ¨", + "et te", + "â Ĥ", + "/ .", + "ĠSun day", + "Ġinflu ence", + "Ġ icon", + "èĭ ı", + "ĠTe chn", + "ing ly", + "ra el", + "Ġle aving", + "m ember", + "ang es", + "Ġв ÑĢе", + "ac c", + "Ġpat tern", + "as y", + "Ġplan ning", + "ĠRob ert", + "ç¬ Ķ", + "è§Ħ å®ļ", + "ç» ¿", + "et her", + "ĠÐĹ Ð°", + "ĠComp any", + "b um", + "æĶ »", + "ĠD C", + "ĠEst ats", + "ĠE ast", + "ĠN ovember", + "è¾ ĵ", + "ĠJ er", + "以 ä¸Ĭ", + "b ound", + "Ġvis ual", + "Ġse ven", + "Ġpr ices", + "à ¶", + "ve re", + "Ġrele ased", + "le ctions", + "if i", + "Ġд и", + "wide hat", + "åĿ IJ", + "Ġhot el", + "ree k", + "ÑģÑĤ ÑĢо", + "D et", + "P age", + "Ġsu c", + "ĠD an", + "Ġreg ist", + "çº ³", + "åĪ ¤", + "ĠT H", + "ĠDe cember", + "Ġupd ated", + "Ãł r", + "ĠTh om", + "è ĸ", + "Ġr ing", + "ĠL o", + "Ġdet ail", + "Ġchang ing", + "ĠW he", + "æłĩ åĩĨ", + "d iff", + "ÑģÑĤво ÑĤо", + "Ġass ign", + "ĠM ill", + "Ġextrem ely", + "ä¸Ģ ä¸ĭ", + "Ġapp oint", + "Ġcomplet ed", + "Ġfr ag", + "Ġass ess", + "Ġs ir", + "代 表", + "re al", + "ĠP rem", + "Ġл и", + "两 个", + "Ġко йÑĤо", + "S H", + "ç§ »", + "i very", + "F T", + "Ġtest ing", + "cl ick", + "é ¤IJ", + "å¼ Ĥ", + "åħ °", + "æŃ Į", + "Ġt ant", + "List ener", + "Ġval or", + "è r", + "п ÑĢа", + "; \\", + "Ġj un", + "Att ribute", + "Ñı ÑĤ", + "Ġи ли", + "Ġsm art", + "Ġre li", + "S ee", + "çĨ Ł", + "Ġtem ps", + "ä»Ĭ å¹´", + "åį Ī", + "Ġch ief", + "Ġdif erent", + "æıIJ é«ĺ", + "clud e", + "cd ots", + "Ġon to", + "åĨ ²", + "åĨ ·", + "Ġtrad itional", + "åįķ ä½į", + "P RO", + "Con st", + "Ġthought s", + "Ġprocess es", + "ĉ var", + "Ch ar", + "éĿ ł", + "Ġposs ess", + "åİŁ åĽł", + "pro duct", + "Ġth y", + "Cl ick", + "п ÑĢо", + "è® Ń", + "ru ctions", + "Ġm o", + "as ant", + "Ġext ension", + "ĠChrist mas", + "Ġ\" \"\"", + "ÑģÑĤ ÑĢа", + "Ġph rase", + "Ġphot o", + "Ġregard ing", + "u ce", + "ĠO ver", + "m ic", + "Ġwe ather", + "Ġcircum st", + "Ġsp ring", + "Ġ< Ġ", + "w ere", + "ĠP o", + "et ime", + "ç½ij 绾", + "Ġocc asion", + "orn ia", + "v an", + "æ° ¸", + "æ± ī", + "Ġcor ner", + "ĠH en", + "lem ma", + "N av", + "æĢ ¥", + "Ġa qu", + "Ġqu als", + "Ġfact ors", + "ло ÑĤо", + "Ġold er", + "Ġinst r", + "Ġtr uly", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ<", + "ç²¾ ç¥ŀ", + "V ersion", + "the ir", + "к Ñģ", + "Ġcall s", + "Ġlead s", + "IN T", + "m eta", + "Ġpl us", + "Ġn ative", + "ĠH ot", + "Ġgir ls", + "Ġext ends", + "El s", + "B lock", + "P L", + "Ġb aby", + "ix er", + "Ġs ist", + "Ġne ut", + "Ġsc ore", + "pro ject", + "amet ers", + "ĠR el", + "çģ µ", + "Ġn ou", + "Ġsc ene", + "é© ¾", + "ãĢ IJ", + "A g", + "Ġintrodu ced", + "vol ution", + "Ġpower ful", + "b our", + "Ġestab lished", + "Ġveh icle", + "Ġrepl ied", + "L abel", + "ĠL ED", + "k er", + "è¡Į 为", + "èį ī", + "Ġri ver", + "Ġde lete", + "Ġap art", + "Ñģ ÑĬ", + "Ġfill ed", + "f riend", + "å¢ŀ åĬł", + "Ġs and", + "çĸ ij", + "as hed", + "om orph", + "Ġpie ces", + "ãĢ ij", + "out put", + "æıIJ åįĩ", + "Ġsec ure", + "nc y", + "å®Į æĪIJ", + "Ġfamil ies", + "Ġl ady", + "Ġth reat", + "Ġcon eg", + "Ġtr ouble", + "stand ing", + "Ġf ashion", + "gr aph", + "ag ger", + "Ġ( (", + "Tr ue", + "l is", + "Ġcomb ination", + "Ġus age", + "ä¸Ģ æŃ¥", + "å·¥ ç¨ĭ", + "ĠW ork", + "Ġb ug", + "pro du", + "Ser ver", + "oun ter", + "çļĦ 大", + "å® ģ", + "Ġp as", + "Ġst ories", + "I B", + "Ġfor th", + "math sf", + "ond ay", + "ER R", + "du le", + "Ġw ine", + "ue ix", + "Ġrap id", + "ĠW ashington", + "Ġ\\ {", + "åIJĪ ä½ľ", + "ĠC as", + "Ġpat ient", + "ĠA C", + "a a", + "Ġd ro", + "ĠFr iday", + "ĠD i", + "M M", + "Ġsc ience", + "Ġproced ure", + "Ġview s", + "Ġperson es", + "ĠGe orge", + "is ation", + "Ġs ociety", + "on ic", + "t w", + "ÑĤ ÑĬÑĢ", + "Ġspec ies", + "е в", + "åĩº äºĨ", + "d esc", + "Ñģ лед", + "Ġare n", + "Ġa im", + "Ġch osen", + "Ġsc ope", + "Ġf lex", + "å¿ħ é¡»", + "ĠUnivers itat", + "çĶ ³", + "oper ator", + "ĠC am", + "Fr ame", + "æķĪ æŀľ", + "} /", + "ĠвÑĢе ме", + "Ġcon cent", + "Ġб ÑĬлгаÑĢ", + "y r", + "ĠDep artment", + "p ush", + "Ġf at", + "Ġl ad", + "Ġle aves", + "ĠC le", + "Ġprote ction", + "æł ij", + "èĭ ¥", + "Ġcol ors", + "ç« Ł", + "est ival", + "}) \\", + "com ple", + "Ġneigh bor", + "æ² Ļ", + "Ġlaw s", + "olog ies", + "è¡ Ĺ", + "l am", + "Ġsup pose", + "åı ¥", + "ж дÑĥ", + "HER E", + "Ġprof ession", + "ĠG old", + "Ġmov ie", + "Ġim plies", + "ĠA tt", + "F O", + "åĢ Ĵ", + "Ġfor ces", + "N E", + "èĦ ¸", + "åľ Ī", + "ĠV iew", + "Ġstre et", + "it o", + "P si", + "ĠPro gram", + "Ġve g", + "ç» ©", + "ĠFace book", + "Ġl ots", + "Ġm ig", + "Ġad opt", + "Ġsh ift", + "Ġc ells", + "Ġи м", + "F actory", + "Ġg ift", + "Ġgener ate", + "Ġc e", + "Ġcent ury", + "}} }", + "Ġaff ord", + "Ġcommunic ation", + "Ġmin ute", + "ma z", + "à ¤", + "F ig", + "表 çİ°", + "od ay", + "Ġl ab", + "Ġr ise", + "Ġmove ment", + "ĠCl ub", + "æ¢ ¦", + "æĬ Ĺ", + "è¿IJ åĬ¨", + "Ġinter view", + "hen s", + "Ġfin ish", + "æŀ IJ", + "Ġdiscuss ion", + "ĠIntern et", + "N O", + "st ood", + "We b", + "Ġg arden", + "and er", + "ĠM use", + "Ġd ra", + "ĠE xt", + "s es", + "çĻ »", + "åİĨ åı²", + "C R", + "OR T", + "tot ype", + "Ġinn ov", + "æ²» çĸĹ", + "d escription", + "ix ed", + "游 æĪı", + "k it", + "Ð ¤", + "en v", + "Ġf i", + "f ic", + "åĮħ æĭ¬", + "ç¡ Ģ", + "Ġrepresent ation", + "Ġestab lish", + "q quad", + "Ġbeaut y", + "Ġatt end", + "se g", + "ç £", + "éļ ľ", + "åħ³ 注", + "ĠB ay", + "B ook", + "Ġthous and", + "at o", + "åŁº ç¡Ģ", + "Ġp rou", + "Ġad ult", + "ig a", + "equ iv", + "Ġg ate", + "is ió", + "ĠM er", + "è· ij", + "Ġim press", + "d igo", + "t ag", + "Ġch ain", + "Ġa ctions", + "un finished", + "Ġpol ice", + "Ġfore ign", + "ot ic", + "Ġcol lege", + "Ġc in", + "åĩº æĿ¥", + "it ness", + "u er", + "um an", + "èĦ ļ", + "R un", + "st d", + "Ġown er", + "è´£ ä»»", + "ic ions", + "ĠE nd", + "Ġstr ange", + "çļĦ è¯Ŀ", + "Ġrepl ace", + "el er", + "ĠJes us", + "at in", + "Ġpod er", + "ĠDes ign", + "å «", + "é² ľ", + "Ġlarg est", + "Ġj ourney", + "we ight", + "Ġent ered", + "Ġdel ay", + "sc ious", + "æ¬ §", + "Ġquar ter", + "am in", + "导 èĩ´", + "as p", + "ĠвÑĬ з", + "ateg ory", + "ĠM any", + "åĪĽ æĸ°", + "Equ al", + "解 åĨ³", + "Ñħ а", + "å¾ ģ", + "w s", + "But ton", + "ind ent", + "Ġh yp", + "R el", + "Ġten ien", + "Ġbud get", + "Ġcapac ity", + "Ñĩ ен", + "Ġprocess ing", + "ĠL eg", + "ack s", + "end ar", + "o ct", + "é¥ ®", + "ar th", + "Ġlo se", + "av or", + "Ġkeep ing", + "c ut", + "è° Ī", + "æĢ ķ", + "B A", + "å¹ ħ", + "Ġche m", + "Ap p", + "å¢ŀ éķ¿", + "é¥ Ń", + "ific ations", + "п ÑĢе", + "D O", + "å® Ī", + "æ¸ ¯", + "Ġa head", + "Ġvers ions", + "çĶ¨ æĪ·", + "sup port", + "ex pected", + "Up date", + "j ection", + "ни ÑĨи", + "C ons", + "low ing", + "æ ĩ", + "m ys", + "ĠO nce", + "Ġreport s", + "ç ij", + "Ġanim als", + "ent ry", + "Ġ Ñı", + "\" ),", + "Ġcon sole", + "Ġth rows", + "Ġra ised", + "éĥ¨ éŨ", + "Ġra ise", + "Ġshe ll", + "е й", + "Ġprep ared", + "æij Ħ", + "Ch ild", + "ĠÐ §", + "åķ Ĭ", + "es e", + "Ġs now", + "r il", + "ro c", + "Ġredu ced", + "ap ed", + "åĪĨ éĴŁ", + "ĠInd ian", + "Ġdist inct", + "Ġ ^", + "ĠС о", + "d p", + "Com p", + "по л", + "ĠL O", + "Ġdiag ram", + "ex ample", + "Ġstart s", + "w ould", + "em ple", + "继 ç»Ń", + "ç ĩ", + "Ġ( \"", + "G r", + "RE F", + "ed om", + "Ġt it", + "S ec", + "åIJĦ ç§į", + "è´ «", + "Ġd inner", + "Ġco ff", + "Col umn", + "ĠM ake", + "T e", + "H P", + "ĠT O", + "ĠFeb ruary", + "Ġtw enty", + "b en", + "Ġapp arent", + "Ġprevious ly", + "D at", + "Ġ+ =", + "B U", + "г Ñĥ", + "Ġд ÑĢÑĥ", + "ĠE sp", + "or ial", + "ĠB re", + "ĠNet work", + "Ġne ither", + "è¿ İ", + "B uffer", + "Ġpro pos", + "Ġcl ock", + "ÑĢа ÑĤа", + "Ġest imate", + "Ġdriv ing", + "In it", + "ir a", + "Ġtro ba", + "se y", + "Ġresist ance", + "yp es", + "Ġsup posed", + "un c", + "é¡ ¾", + "ã ĥ", + "Ġreg ions", + "æĶ¿ çŃĸ", + "人 们", + "Ġgr up", + "ĠS ervices", + "Ġpost ed", + "d rop", + "Ġperfect ly", + "tt p", + "åħ³ äºİ", + "unt ime", + "}} (", + "g ers", + "if ts", + "ĠGerm an", + "ä¹ĭ éĹ´", + "do or", + "ĠP ublic", + "Ġp unt", + "ÑģÑĤ ве", + "ç« ŀ", + "Ġsegü ent", + "Sty le", + "Ġest a", + "Ġaud io", + "Ġhelp ed", + "Ġ ur", + "æĶ¯ æĮģ", + "ĠC D", + "ĠS il", + "ĠS pr", + "Ġstop ped", + "M et", + "Ġg all", + "Ġnom és", + "od er", + "Ġhe nce", + "ev en", + "ĠCour t", + "Ġrat io", + "al let", + "æĢ Ģ", + "II I", + "Ġb at", + "Ġb ot", + "ä» į", + "ĠL ife", + "è° ¢", + "Ġsche me", + "ĠĠĠĠĠĠĠĠĠĠĠĠ $", + "Ġm outh", + "Ġcam era", + "ĠP ower", + "c are", + "Ġhealth y", + "ri an", + "Ġsur v", + "èĽ ĭ", + "ob j", + "Form at", + "Ġdepend ing", + "è¿Ļ ä¹Ī", + "ap es", + "Ġl aptop", + "V er", + "Ġaltern ative", + "Ġschool s", + "Ãł c", + "æĽ´ åĬł", + "ff ff", + "rit er", + "F S", + "M at", + "èĦ ±", + "Ġh o", + "ar ks", + "ici ency", + "contain er", + "Ġim possible", + "Ġh idden", + "æĤ ¨", + "x space", + "ot ing", + "Ġquant um", + "Ġed itor", + "ren ce", + "è ľ", + "åĨ ł", + "æĹħ 游", + "ç´ ¢", + " °", + "Ġpl ug", + "Ġc up", + "Ġpart ners", + "N AME", + "M r", + "os c", + "Ġw a", + "t at", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "ĠLem ma", + "Ġun its", + "N N", + "ĠS aturday", + "Ġch air", + "Ġto ts", + "è´¨ éĩı", + "æĿ Ģ", + "Ġcomm ercial", + "Ġposs ibly", + "Ġcontr ast", + "ĠWill iam", + "and on", + "Ġwe ar", + "Ġl ived", + "fil ter", + "Ġst one", + "ak s", + "Ġdise ase", + "iver se", + "Ñĩ ва", + "Ġt all", + "è° ģ", + "åİ Ĥ", + "举 西", + "ĉ this", + "rem ove", + "}\\ \\", + "Ġw inter", + "æİ ī", + "Ġb attle", + "ans ion", + "ĠCon f", + "Ġj ug", + "S L", + "Ġsc ient", + "ĠA PI", + "nav bar", + "Ġn orth", + "ĠA lex", + "Ġspe ech", + "ĠM ax", + "Ġl abor", + "and a", + "ä¹ Ŀ", + "Ġmanufact ure", + "ĠCalif ornia", + "-- \"", + "V is", + "帮 åĬ©", + "M on", + "Ġf ish", + "yn ch", + "æľ Ŀ", + "Ġt ur", + "od ed", + "st ack", + "Ġsol ve", + "Ġad vert", + "ĠAr ch", + "y es", + "Ġ| Ġ", + "ĠC H", + "ĠEurope an", + "bl ack", + "Ġlist ed", + "k ind", + "Ġdri vers", + "Ġserv ed", + "at tr", + "Ġaut h", + "Ġgrad u", + "Ġm ission", + "Ġfamil iar", + "Fil ter", + "Ġke ys", + "Ġrecord s", + "Ġro se", + "ä¹ĭ åīį", + "åª Ĵ", + "l ines", + "Ġentire ly", + "åĽ½ åĨħ", + "ern ame", + "ĠT ur", + "et ch", + "Ġrel ax", + "ide os", + "Ġask ing", + "pect ive", + "д на", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "ĠAn n", + "b ur", + "im er", + "ĉĉĉĉ ĉĉ<", + "Ġcor por", + "en vol", + "å¤Ħ çIJĨ", + "ò n", + "Ġb rief", + "D ev", + "ĠV ir", + "et t", + "Ġ iron", + "Ġappear ance", + "n ormal", + "Ġ £", + "l inux", + "ĠU N", + "Ġdes ired", + "æķ ij", + "Ġdep th", + "ript or", + "ac ity", + "vent ion", + "Ġten ir", + "Ġcateg ory", + "è®° èĢħ", + "åĵ Ī", + "ir ation", + "Ġpass ion", + "s in", + "Ġgent le", + "ĠIn s", + "éĹ »", + "Out put", + "Lay out", + "ĠB usiness", + "æĻº èĥ½", + "Ġhon est", + "Ġdir ig", + "çļĦ å°ı", + "ÑģÑĤ ва", + "P at", + "ul se", + "Âł habitants", + "çŃ ¾", + "Ġo dd", + "Ġbound ary", + "åIJ ¯", + "mat rix", + "eg er", + "â Ĩ", + "åº ı", + "çĿ ¡", + "Ġman age", + "Ġown ers", + "Ġsh oot", + "Ġpl ain", + "Ġj e", + "Ġse ctor", + "Ġn odes", + "es ome", + "ди н", + "ĠW il", + "ounc il", + "å½¢ æĪIJ", + "Ġj oy", + "Ġoff set", + "Ġc ash", + "res ponse", + "\", \"", + "Ġcult ure", + "ç³ ĸ", + "Ġelect r", + "ä»» ä½ķ", + "å¥ ¶", + "ol ar", + "å½ĵ æŶ", + "Ġbo ys", + "Ġla unch", + "Ġdis pos", + "if act", + "ÑĨ иÑĤе", + "lÃŃcul a", + "ĠSt art", + "ud io", + "Ġcó digo", + "ç½ ª", + "éĻ¤ äºĨ", + "Ġmag netic", + "p ad", + "Ġdes ire", + "Ġexperi enced", + "roll ed", + "un n", + "ĠSm ith", + "åľ° åĮº", + "ĠH D", + "Ġs ynt", + "Ġident ify", + "ne ctions", + "æ¯Ķ èµĽ", + "Ġп и", + "Ġor ient", + "s d", + "Ġ il", + "ĠJ ul", + "ĠK ey", + "fortun ately", + "ĠA L", + "pt r", + "è½ ¯", + "ç» ¼", + "ines e", + "Ġyou th", + "gl és", + "D ep", + "Al so", + "sc r", + "з на", + "go ing", + "Ġc ards", + "æĺ¯ åIJ¦", + "' ),", + "Ġs outh", + "Ġint ended", + "Ġb ag", + "ĠPar is", + "Ġrespons ible", + "OR D", + "ç»ĵ æŀľ", + "ĠFr ança", + "Ġdec ide", + "æľī çļĦ", + "ann ed", + "Ġsuper ior", + "on om", + "ció n", + "ĠW here", + "Ġstr ict", + "ĠP ack", + "åħ ¸", + "Ġcont roller", + "æľº æŀĦ", + "ĠW ho", + "Ġcomp are", + "ĠDe velop", + "S O", + "åıij å¸ĥ", + "Ġ& \\", + "Ġcontain ing", + "i ples", + "M ay", + "d ocument", + "Ġbe at", + "ĠPro ject", + "Ġpol ic", + "Ġstand ing", + "Ġcon ce", + "ĠCan ada", + "ol ic", + "Ġemploy ees", + "o ch", + "ent ed", + "ĠC all", + "miss ions", + "ak ed", + "ĠFl or", + "Ġfab ric", + "ĠPl an", + "Ġext ended", + "t ml", + "Ġchall enge", + "Ġcompar ison", + "c ache", + "Ġsp oke", + "Ġg erm", + "å° ļ", + "M ax", + "R eturn", + "g le", + "Ġin tr", + "ed y", + "i at", + "s or", + "ru le", + "Ġhard ware", + "èģ ļ", + "Ġmil itary", + "Ġenc ara", + "ll es", + "Ġb on", + "Ġequ ations", + "ĠU sing", + "çŃ Ķ", + "Ġreg ister", + "Ġb ought", + "', '", + "å®ŀ éĻħ", + "Ġag ent", + "ĠP ress", + "Ġf le", + "é¡ ¶", + "Ġn atur", + "Ġadv anced", + "w ater", + "ag n", + "ab out", + "Ġeff orts", + "T op", + "envol up", + "è¿ Ŀ", + "Ġconf lic", + "Ġthe rm", + "Ġread er", + "}\\ ,", + "y g", + "od o", + "Ġupd ates", + "Ġsudden ly", + "Ġbo at", + "Ġtre nd", + "ĠM ain", + "ĠL ook", + "b i", + "羣 çļĦ", + "back ground", + "{ {", + "Ġform al", + "ic ate", + "Cont roller", + "Ġ ÑĩаÑģÑĤ", + "ab il", + "Ġopport unities", + "çģ ¯", + "éģ ¿", + "Ġgener ation", + "Ġal ign", + "Ġbe ar", + "Ġpart ir", + "ament e", + "家 åºŃ", + "Ġup grade", + "M em", + "cc ion", + "v id", + "Ġmet al", + "Ġv ary", + "ser ve", + "LA SS", + "Ġd ual", + "Ġsome what", + "Ġun iform", + "Ġfav our", + "к ÑĤ", + "v as", + "Ġdes ktop", + "Ġbre ath", + "Ġk m", + "éĵ¶ è¡Į", + "æľī éĻIJ", + "Ġб а", + "Ġm ant", + "j e", + "ĠJ e", + "Ġf ant", + "R I", + "E ng", + "c ial", + "p ower", + "Ġcomfort able", + "ic ans", + "app y", + "Ġ$ |", + "å¤ ı", + "se ct", + "omet imes", + "Ġte le", + "Ġrep air", + "y e", + "ÑĪ ни", + "ub re", + "Ġel imin", + "ĠB ecause", + "ç¤ ¼", + "Ġlist en", + "C ar", + "ä»· åĢ¼", + "Ġspe aking", + "ĠB est", + "Ġs ust", + "é¦ Ĩ", + "ĠC ON", + "ĠC a", + "P ack", + "umer ate", + "b al", + "s ur", + "éľ ²", + "Ġaix ÃŃ", + "ĠNew s", + "Ġh ur", + "if ies", + "ç» į", + "Ġа ÑĢ", + "il os", + "éĶ ®", + "Ġex plicit", + "Ġgo als", + "ÐŁ о", + "ĠL ong", + "Sc ript", + "he tic", + "Ġimport ance", + "éĴ Ī", + "æĸ° çļĦ", + "è¾¾ åĪ°", + "Ġtempl ate", + "交 éĢļ", + "Ġan omen", + "åĸ Ŀ", + "ont al", + "UR L", + "éħ ¸", + "æŁ ĵ", + "å¨ ģ", + "Ġback up", + "ä¸Ģ çĤ¹", + "Ġhon or", + "åı ¶", + "æīį èĥ½", + "æĿ ¨", + ") \"", + "Ġche ap", + "s ign", + "èĹ ı", + "è¿ °", + "W rite", + "Ġre con", + "ĠV is", + "P erson", + "Ġbal ance", + "' }", + "æ¯ı 天", + "ми ÑĢа", + "it ut", + "Ġ ought", + "æĹł æ³ķ", + "Add ress", + "ä¼ ´", + "em pres", + "è· Į", + "ĠS ing", + "f iles", + "Ñı ÑĤо", + "AC K", + "Th ank", + "æĸ Ĺ", + "Ġarg uments", + "éĢł æĪIJ", + "Ġsuggest ed", + "Ġsh aring", + "æŶ 代", + "Ġmunicip i", + "Ġr ough", + "Ġhigh light", + "é© ¶", + "et ing", + "æķ £", + "rib le", + "F unction", + "f aces", + "но в", + "Ġpr on", + "Ġn ucle", + "ĉ <", + "Ġen abled", + "l ies", + "Ġfail ure", + "}} {\\", + "æ¯Ķ å¦Ĥ", + "æľª æĿ¥", + "ro ad", + "Ġdut y", + "og ether", + "Ġcomp at", + "Ġtest s", + "éĢ IJ", + "plic ations", + "Ġob lig", + "C o", + "çĽ ĸ", + "U se", + "Ġprom pt", + "ĠL l", + "Ġoff ering", + "ĠÑģ ÑĢе", + "ĠRes earch", + "ĠS um", + "Ġconf irm", + "Ġ{ @", + "h av", + "Ġdiscuss ed", + "æľī äºĽ", + "Ġcaus es", + "re ens", + "ĠAp p", + "k in", + "p p", + "ä¼ ij", + "( [", + "Ġf aster", + "ã Ĥ", + "Ġне го", + "å½ĵ çĦ¶", + "Ġartic les", + "ĠE v", + "S A", + "b et", + "ĠT op", + "Ġord ers", + "Ġform ed", + "on al", + "il ton", + "ĠC E", + "Ġre ct", + "st rap", + "P o", + "Ġcy cle", + "ic ion", + "Ġdisc over", + "çĶ °", + "os h", + "Ġdel ight", + "Ġmess ages", + "ли ÑĤе", + "ко в", + "ĠN or", + "Ġeconom ic", + "ob ert", + "Ġtra ffic", + "Ġà īs", + "Ġtyp ically", + "Ġdoc uments", + "å¼Ģ å±ķ", + "Ġlet ters", + "空 éĹ´", + "Ġaccom pl", + "Ġoper ating", + "ĠThe ir", + "} :", + "ĠFr ank", + "ĠL u", + "Ġexist ence", + "Ġн Ñı", + "ĠB as", + "Ġte lev", + "Ġo k", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġvis ible", + "pre c", + "person es", + "ĠMich ael", + "ik i", + "ве ÑĤ", + "éĺ ¶", + "Ġqu ed", + "ä¿ ĥ", + "Ġden ote", + "ck now", + "R ow", + "t ed", + "st ep", + "Ġexc ited", + "Ġ* *", + "t ree", + "l os", + "第 ä¸ī", + "s n", + "id el", + "res ents", + "Ġt asks", + "Ġbusiness es", + "Ġs ides", + "Ġgal ax", + "is ters", + "Âł persones", + "é¸ ¡", + "tern oon", + "ĠGr an", + "or ig", + "Ġs ister", + "ä¿Ŀ æĬ¤", + "end if", + "Ġturn s", + "Ġqu ad", + "re nd", + "å½ Ĵ", + "éĢ ı", + "am m", + "Ġun certain", + "ĠH all", + "ex as", + "Ġjob s", + "Ġreview s", + "Ġann ounced", + "en ess", + "ĠD iv", + "val ues", + "cit et", + "èµĦ æºIJ", + "Ġun known", + "clus ive", + "éĶĢ åĶ®", + "ot al", + "M O", + "Ġev olution", + "ĠB ig", + "ĉ \"", + "æݧ åĪ¶", + "line ar", + "Ġi Phone", + "J ust", + "åĪĨ æŀIJ", + "Ġnot es", + "âĶĢ âĶĢ", + "Ġob st", + ". /", + "Ġabsol utely", + "t ical", + "ĠR oy", + "Ġcol our", + "Ġacc ident", + "ä½ ³", + "ä¸ĩ åħĥ", + "Ġent ertain", + "Ġl ie", + "D ec", + "ĠS l", + "Ġtechn iques", + "æ¶ ²", + "Ð Ľ", + "èį £", + "ĠAng el", + "Ġsu itable", + "c ard", + "ĠC ouncil", + "éļı çĿĢ", + "Ġb rain", + "ĠA v", + "çĪ ¸", + "Ġtop ic", + "ĠE rror", + "( &", + "Ġset embre", + "Ġlog in", + "AG E", + "pl ed", + "ĠT wo", + "Ġnot iced", + "ĠP eter", + "m ac", + "ne q", + "éª ¨", + "Ġpar allel", + "B O", + "ĠD ate", + "t xt", + "ad ing", + "产 çĶŁ", + "åį ±", + "Ġpr ison", + "ĠÐľ и", + "Ġder iv", + "ĠOn ly", + "Ġincor por", + "Ġca ught", + "æľī æķĪ", + "Ġrad io", + "ĠO ld", + "ĠR iver", + "Ġput ting", + "pr im", + "ä¸Ĭ æµ·", + "ĠM A", + "Ġremain ing", + "Ġprou d", + "Ġment re", + "Ġs le", + "ÃŃ n", + "Ġcon figure", + "Ġd ar", + "ĠG ener", + "Ġdet ailed", + "Ġy a", + "Ġwel come", + "Ġresult ing", + "ä¿Ŀ æĮģ", + "t x", + "ä¹Ł æľī", + "ĠL ove", + "ĠM onday", + "y al", + "åĬ ª", + "et es", + "bre ak", + "Ġcontinu ous", + "se cond", + "çĤ İ", + "Ġfl ag", + "å¸ ģ", + "Ġconvers ation", + "Ġdisc overed", + "Ġll arg", + "b ul", + "se gu", + "( {\\", + "Ġcoff ee", + "æ¸ IJ", + "Ġem b", + "Ġem bed", + "ad os", + "å®Į åħ¨", + "//////// ////////", + "C M", + "ul ed", + "Ġagre ement", + "ari an", + "Ġs itting", + "é ¹", + "æ´ ²", + "Ġr id", + "Val id", + "é¥ °", + "âķ IJ", + "Ġconsist ent", + "ĠG L", + "ĠSant a", + "B o", + "rid ge", + "on ym", + "Ġman aged", + "éľĢ æ±Ĥ", + "ÑĮ о", + "Ġtrans action", + "å» ¶", + "Ġtechn ical", + "let s", + "d irect", + "gener ic", + "Ġhelp ful", + "åıª è¦ģ", + "ÐĿ а", + "e z", + "Ġaix ò", + "Ġthe e", + ") /", + "Ġl if", + "交 æĺĵ", + "Ġ ice", + "éĩĩ çĶ¨", + "Ġn ú", + "ĠSo ft", + "L ength", + "Ñĩе Ñģки", + "Ġslow ly", + "å°ı æŶ", + "ap ple", + "Ġа в", + "Ġrem ote", + "Ġbl ocks", + "è ¸", + "Ġcommand s", + "ĠOff ice", + "Ġst ored", + "Ġbuff er", + "çĸ ¾", + "un it", + "о гÑĢа", + "Ġsam ples", + "æĪij们 çļĦ", + "Ġc ens", + "ï t", + "ĠF ort", + "Ġinvest ment", + "ĠG en", + "aut hor", + "h y", + "éĽĨ åĽ¢", + "ĠN E", + "b res", + "çĪ Ĩ", + "éĽ ª", + "ĠM icrosoft", + "w rap", + "â Ħ", + "Ġs ad", + "ÑĬÑĢ жа", + "ç®Ģ åįķ", + "ious ly", + "ĠA T", + "M ode", + "çĬ ¯", + "ter day", + "Ġmeas ures", + "Ġm ail", + "Ġap ps", + "cc ions", + "Ġv en", + "bu f", + "Ġpod en", + "D irect", + "Ġform ula", + "us es", + "Ġinst ructions", + "Ġt aste", + "Ġst able", + "æµ ª", + "Ġan tic", + "Ġdes envolup", + "iz ar", + "å· ¨", + "M ar", + ". [", + "ç« ¥", + "è¶ħ è¿ĩ", + "Ġflo at", + "Ġenem y", + "Ġteam s", + "ä¸į å°ij", + "Ġв е", + "Ġweek end", + "dev ice", + "å¾Ĺ åĪ°", + "æĭ¥ æľī", + "çİ ī", + "Ġ=> Ġ", + "Ġgu any", + "Ġa ward", + "E nc", + "ament al", + "并 ä¸Ķ", + "ĠM ass", + "ell o", + "c f", + "h igh", + "s uch", + "op l", + "çŁ¥ è¯Ĩ", + "Ġh an", + "s pe", + "Ġval u", + "ĠAl though", + "ĠD u", + "ic ing", + "а з", + "t wo", + "N A", + "e per", + "ĠS a", + "ain er", + "h space", + "çº ·", + "ĠF ore", + "Ġwor se", + "Ġf ills", + "è´ ´", + "Ġsuc ceed", + "G u", + "æī ĺ", + "O K", + "C al", + "Ġsigu iente", + "Ñģко ÑĤо", + "м иÑı", + "A ccess", + "Ġv ess", + "param s", + "模 å¼ı", + "Ġant i", + "Ġin ner", + "Ġe gg", + "Ġhold ing", + "re v", + "ç´ ¯", + "Ġpay ment", + "ĠC A", + "m ode", + "Ġabsol ute", + "Ġnet works", + "ĠL ike", + "ien e", + "Ġreal ity", + "åł Ĥ", + "ме ÑĢи", + "åħ¨ çIJĥ", + "Ġan imal", + "Ġsk y", + "p op", + "Ġop posite", + "ri z", + "é ½", + "ï ¿", + "ĠB et", + "lÃŃcul es", + "ä¼ł 绣", + "п ÑĢи", + "ĠIs rael", + "ç ĺ", + "Ġmar ried", + "Ġко м", + "åĵ ¥", + "ĠGovern ment", + "к ÑĬ", + "以 åIJİ", + "Ġarriv ed", + "L C", + "æĬ ĵ", + "éĥ½ ä¼ļ", + "Ġsp r", + "Ġmost ly", + "ÑĤе н", + "ant a", + "Ġconf idence", + "é¢ ľ", + "Ġk illed", + "M I", + "Ġpl enty", + "alt res", + "羣 æŃ£", + "he red", + "ĠJ ew", + "Ġsp aces", + "Ġmed ium", + "Ġwrit er", + "r ich", + "å¦Ī å¦Ī", + "oct ubre", + "Ġfeed back", + "T ask", + "å¼ ¹", + "em on", + "sc ope", + "sy ch", + "çŃ ij", + "~~ ~~", + "\" -", + "Ġj oint", + "Ġmin im", + "ĠFranc is", + "W here", + "å·¦ åı³", + "Ġdist rict", + "or ough", + "Ġa con", + "Ġexpl an", + "ĠI V", + "u an", + "ниÑı ÑĤ", + "Ġconsider ing", + "Ġf ruit", + "æĺ¯ åľ¨", + "ĠMan agement", + "Ġcall ing", + "L ook", + "jav ascript", + "ĠÑģ ÑĤÑĢа", + "Ġll ib", + "ĠB ill", + "åĽ º", + "pon ents", + "Ġnumer ous", + "n orm", + "Ġs ch", + "ĠP an", + "Ġto w", + "Ġrep resents", + "is l", + "å¤ ®", + "Ġfore st", + "resh old", + "K e", + "s ol", + "æĺ¯ ä¸Ģ个", + "ÑĬлга ÑĢиÑı", + "g reg", + "Ġw edding", + "Ġpl ane", + "Ġhe ro", + "Ġ[ ]", + "ĠB ack", + "Ġsav ed", + "om ething", + "act or", + "l ife", + "Ġc od", + "Ġexpl ained", + "D S", + "o om", + "ĠSc ience", + "Ġc amb", + "G E", + "ĠS i", + "亿 åħĥ", + "C I", + "éĽ Ħ", + "ĠCent ral", + "os es", + "Ġcl uster", + "Ġd ur", + "åĨ °", + "ó s", + "Ġspect rum", + "Ġж и", + "úblic a", + "Ġqu atre", + "ÃŃ m", + "ĠR oman", + "æľº ä¼ļ", + "Ġmajor ity", + "Ġincre ases", + "Ġco e", + "off set", + "Ġthem e", + "inst ance", + "ĠMar ia", + "ä½ľ åĵģ", + "ll ustr", + "Ġcomb ined", + "æ¶ ¦", + "os ing", + "k es", + "Ġimplement ation", + "iz ontal", + "Ġ eth", + "w indow", + "Ġfam ous", + "Ġcont empor", + "ĠW ed", + "Ġtw ice", + "ä¸ļ åĬ¡", + "ĠRep ublic", + "Ġs è", + "Ġv ir", + "Ġmus ical", + "m ut", + "C ase", + "но го", + "ven ue", + "Ġб о", + "es a", + "Ġpart ies", + "ref erence", + "Ġcorrect ly", + "ĠGr and", + "Ġwatch ing", + "Ġdest roy", + "ен е", + "lay er", + "d est", + "æĮ ¥", + "h ist", + "Ġresist or", + "éĩij èŀį", + "c raft", + "ĠRe al", + "Ġve get", + "çİ° åľº", + "Ġesp any", + "ĠN ame", + "ĠRev iew", + "Ġad vent", + "te en", + "æĹ ¢", + "åĿļ æĮģ", + "urs day", + "å® ľ", + "Ġroom s", + "æĿ¥ è¶Ĭ", + "CO L", + "ell er", + "Ġb rowser", + "åıĤ åĬł", + "ach ine", + "ĠAssoci ation", + "åĬª åĬĽ", + "v m", + "к лÑİ", + "客 æĪ·", + "B ibli", + "S eg", + "å° ¤", + "Pro cess", + "Ġexerc ise", + "w ar", + "ä»ĭ ç»į", + "éĩ İ", + "Ġpract ical", + "ĠE duc", + "} -\\", + "éĥ½ æľī", + "Ġn arrow", + "at ges", + "Ġdel ivery", + "Ġaccur acy", + "Ġm arc", + "SE T", + "Ġs ota", + "en umerate", + "æĤ£ èĢħ", + "缮 æłĩ", + "è± Ĩ", + "Ġv irt", + "ä¹ĭ ä¸Ģ", + "IT H", + "\\ ,\\", + "Ġfriend ly", + "Ġv ida", + "item ize", + "Equ als", + "æĿ¡ 件", + "Ġr ub", + "Ġend ed", + "art s", + "( _", + "ĠA R", + "ues day", + "è· Ŀ", + "Ġm ad", + "C S", + "ÑĢи ÑĤе", + "ĠM el", + "Ġc able", + "the m", + "Ġem ph", + "Ġkey board", + "ĠP en", + "æ¦ Ĥ", + "ĠB Y", + "Ġb an", + "е ле", + "bl ing", + "Ġcomp act", + "out hern", + "ĠC reate", + "Ġansw ers", + "ĠCor por", + "è¶Ĭ æĿ¥è¶Ĭ", + "in er", + "the orem", + "% ;", + "ĠAr ray", + "Ġent r", + "éĺ ´", + "no indent", + "ĠS ocial", + "st yles", + "ĠSt ar", + "许 å¤ļ", + "Ġesp èc", + "Ġsing ular", + "ten ance", + "Ñĩ но", + "Ġwill ing", + "ĠÑĤ Ñı", + "Ġinf in", + "ĠE qu", + "Ġra in", + "Ġb its", + "Ġsignificant ly", + "t n", + "ĠB al", + "Ġs plit", + "ĠA maz", + "i est", + "a ire", + "Ġpo et", + "Ġframe work", + "æ´ ¾", + "Ġem pres", + "Ġproble ma", + "ĠI r", + "ĠI d", + "CT ION", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ<", + "r ated", + "èĻ ļ", + "est ic", + "积 æŀģ", + "ida e", + "un te", + "Ġlo v", + "Ġm aps", + "çĪ¶ æ¯į", + "ĠJ ava", + "Ġla id", + "u int", + "ĠIn formation", + "æ¤ į", + "Ġhelp ing", + "Ġд Ñĥ", + "Ġrepe ated", + "ĠDo es", + "Ġdim ension", + "Ġident ity", + "Ġgreat est", + "Ġsee k", + "ĠB oth", + "ĠÐij ÑĬлгаÑĢиÑı", + "ĠÐ ¦", + "F ONT", + "S che", + "ĠO per", + "èĻ ij", + "Ġour selves", + "Ġar bit", + "Ġev ol", + "Ġ- \\", + "Ġis land", + "Ġturn ing", + "æ°´ å¹³", + "ĠR oad", + "Ġn ut", + "èµĦ éĩij", + "} );", + "не ÑĤо", + "b as", + "Ġann ual", + "Ġv end", + "f ull", + "æĽ ²", + "âķIJ âķIJ", + "R ev", + "Ñı ва", + "deb ug", + "Ġex change", + "ĠSup er", + "Ġs alt", + "Ġmeasure d", + ") }{", + "Ġinc ome", + "å° Ħ", + "z er", + "T C", + "ĠInt el", + "Ġb read", + "v ia", + "Ġse at", + "Ġviv ien", + "ĠM aster", + "Ġs an", + "F i", + "Ġun able", + "Ġко ÑıÑĤо", + "åĩĨ å¤ĩ", + "æĺ¾ ç¤º", + "Ġc raft", + "Z E", + "D escription", + "ÑĨиÑı ÑĤа", + "Ġcl im", + "Ġcit iz", + "äº Ī", + "ĠIt s", + "not ation", + "ĠT ambé", + "Ġwall s", + "Ed it", + "ĠС е", + "P ort", + "Ġple asure", + "Ġro of", + "um es", + "ç§ij åѦ", + "éĩį çĤ¹", + "Ãł n", + "ĠB ur", + "Ġshe l", + "AT H", + "åħ µ", + "Ġcl ar", + "C RE", + "par se", + "D W", + "к ÑĤи", + "н Ñĥ", + "ĠÑģÑĬ Ñģ", + "Ġespec ial", + "p es", + "ĠLou is", + "Ġanal og", + "Ġcircumst ances", + "Ġex pos", + "ĠBo ard", + "Ġpart ner", + "Ġrout e", + "Ġp ython", + "Ġaf ternoon", + "å¥ ¥", + "Ġatt ribute", + "ob s", + "Ġsist ema", + "Ġdeg rees", + "çļ ĩ", + "Ġin qu", + "Ġst ret", + "Ġ( -", + "Ġdiag n", + "ict ure", + "od ies", + "r ange", + "è¯ Ĺ", + "ĠChar les", + "ĠÐĴ и", + "Ñģ иÑĤе", + "ak ers", + "Ġb ott", + "ÑĤо ÑĢ", + "Ġm el", + "Ġt ail", + "Ġst ated", + "Ġpl ants", + "Ġf ro", + "ist ed", + "ian o", + "Ġc ad", + "Ġpr ime", + "Ġp int", + "ĠгÑĢа д", + "Ġterr itor", + "Ġp m", + "Cont rol", + "Ġsm ile", + "Ġwas te", + "per t", + "çł ģ", + "ann els", + "ce an", + "Ġcl in", + "Ġcirc le", + "flo at", + "Ġpers ons", + "Ġbl ess", + "av ors", + "I E", + "Ġpass ing", + "è Ķ", + "out e", + "Ġes col", + "al o", + "Ġpur poses", + "operator name", + "am er", + "wh ite", + "IG N", + "dim ensional", + "Ġp il", + "Ġгоди ни", + "ĠThom as", + "y our", + "ï¿ ½", + "æģ ¶", + "E ach", + "Ġhab it", + "ors es", + "ĠÐij о", + "Ġn a", + "ĠAustral ia", + "ä¸į åĪ°", + "ĠS oc", + "x ic", + "is ms", + "åĨ³ å®ļ", + "ĠB ra", + "j ud", + "requ ire", + "æŀ ¶", + "med ia", + "Ġsc hed", + "å¦Ĥ æѤ", + ".... ....", + "èīº æľ¯", + "Ġexpl ore", + "åij ¼", + "Ġterm in", + "nes day", + "] \\", + "in ent", + "ĉĉĉĉĉ <", + "æľŁ éĹ´", + "Ġreg ul", + "ç¡ ¬", + "Ġrecomm ended", + "ĠTh ank", + "sh ot", + "m aster", + "Ġb inary", + "or gan", + "ou red", + "y er", + "éĽ ·", + "ð Ł", + "Ġc ache", + "Ġvis ion", + "å§ IJ", + "Ġinc red", + "åº Ĩ", + "Ġsol o", + "æĥ Ĭ", + "ĠR ad", + "Ġar my", + "icol umn", + "Ġinter ior", + "C urrent", + "Ġcomp re", + "co pe", + "å® «", + "ĠF ol", + "å¼Ģ åıij", + "m atic", + "è´ ·", + "ä¸į åı¯", + "ĠAcc ording", + "ĠS pe", + "fra id", + "v space", + "ĠC ard", + "à ¤", + "Ġabs or", + "ig er", + "Ġtri al", + "Ġh at", + "Ġest ate", + "Ġcontain er", + "Ġaud ience", + "G R", + "Ġsuccess fully", + "ĠW ood", + "Ġcoll abor", + "A c", + "Ġdatas et", + "Ġpro pi", + "Ġrec overy", + "ce ived", + "Ġess ay", + "è¯ ¯", + "Ġc av", + "mult icolumn", + "Ġinter action", + "è¿ ·", + "appro x", + "ĠB i", + "éĽ ¶", + "ла ÑģÑĤ", + "Ġbecom ing", + "pe res", + "atur a", + "计 åĪĴ", + "ÑĨи и", + "Ġpost s", + "{- \\", + "ĠC ustom", + "m atch", + "Ġt ips", + "f i", + "] );", + "Ġsc al", + "ag raph", + "ĠCh inese", + "Ġcolumn s", + "Ġdivers os", + "å³ °", + "Ġunder stood", + "Ġman ual", + "Ġg od", + "ari ant", + "é¢Ĩ 导", + "R ight", + "Ġper man", + "m bre", + "éĻ Ħ", + "ò r", + "á n", + "ri ev", + "åħ¨ éĿ¢", + "Ġf old", + "V AL", + "L es", + "Ġreg ió", + "Ġep is", + "re ra", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "Ġor dered", + "ĉĉĉĉ ĉĉ", + "ĠG ir", + "ĠI T", + "M E", + "èĤ ¥", + "ĠT exas", + "ari os", + "or i", + "Ġp apers", + "Ġv ideos", + "Ġpl ot", + "ä¸į å¾Ĺ", + "Ġbus y", + "Ġmat ters", + "Ġwalk ing", + "T HE", + "L ib", + "åIJĪ åIJĮ", + "AR Y", + "im ages", + "ÑĢа з", + "& &", + "å¸ Ŀ", + "Ġd ating", + "G A", + "ip ped", + "Ġ ..", + "Ġde let", + "Ġrest art", + "xt ure", + "æĹ¥ æľ¬", + "Ġbo ost", + "Ġ\" /", + "} '", + "Ġlead er", + "ÃŃt ica", + "Ġexp ensive", + "ĠR et", + "D r", + "ä¾ §", + "Ġthe rap", + "h r", + "Ġend s", + "Ġteac her", + "Ġint ellig", + "Ġspecific ally", + "Ġbr idge", + "Ġb rown", + "glés ia", + "Bibli ografia", + "ĠJo an", + "u zz", + "ist ent", + "Ġdrop ped", + "çĸ« æĥħ", + "s ys", + "å¼ ±", + "Ġко еÑĤо", + "Ġwe ap", + "C ache", + "Ġresta ur", + "Ġfranc ès", + "ò m", + "l at", + "Ġex ceed", + "D ele", + "k i", + "an ing", + "u rop", + "pl ug", + "an im", + "å¸ Ń", + "es p", + "ĉ ĠĠĠ", + "в иÑĤе", + "ĠP R", + "Ġst ack", + "AT A", + "An other", + "Ġtyp ical", + "ĠL uc", + "claim ed", + "de c", + "éĩ Ĭ", + "çĶŁ åij½", + "Ġeff iciency", + "æĹ §", + "Ġth in", + "Ġjo ined", + "ĠFound ation", + "empl o", + "* )", + "Ġang le", + "ĠC are", + "æİ ¢", + "Ġ( '", + "æĮģ ç»Ń", + "ĠT ext", + "ick en", + "AN T", + "Ġne ck", + "Ġinit i", + "ific ació", + "a qu", + "ĠÑģ во", + "Ġfe e", + "ва н", + "f ound", + "ĠPe ople", + "Ġterm e", + "et at", + "Ġcreat ive", + "ĠCh ild", + "`` `", + "Ġdra wn", + "èĤ ¯", + "æĺİ æĺ¾", + "g ence", + "Ġsub sc", + "é¢Ĩ åŁŁ", + "ç»ı è¿ĩ", + "ĠL and", + "Ġdiffere nces", + "ĠH and", + "Ġaffect ed", + "Ġcur ve", + "Ġport ion", + "Ġflow ers", + "ad ed", + "к ÑĢи", + "N ames", + "st at", + "ĠPro v", + "pr ise", + "!! !", + "æĿ¥ çľĭ", + "çĥ Ī", + "m i", + "è´ ¥", + "æĮī çħ§", + "Ġfre edom", + "L ocation", + "ĠB ank", + "un ning", + "ĠAnd roid", + "Ġdiferent s", + "Ġfurn iture", + "ĠL ake", + "æĿ Ĥ", + "ÐŁ ÑĢез", + "S earch", + "Ð ķ", + "Ġal gebra", + "u ario", + "Ġf ans", + "ag a", + "Ġany where", + "EN D", + "ĠU nder", + "Ġmill or", + "b ing", + "-------- ----", + "为 ä»Ģä¹Ī", + "st one", + "room s", + "ed it", + "Ġrel atively", + "Ġpre v", + "w r", + "a is", + "Ġd ust", + "Ġsc an", + "Ġме ждÑĥ", + "Ġa fraid", + "Ġveloc ity", + "ov ed", + "ĠÑģ ве", + "ĠE lect", + "G l", + "Ġwor ry", + "} \"", + "è¶ £", + "s ession", + "I X", + "U RE", + "au ge", + "out s", + "èĢ ³", + "ä¸ĭ æĿ¥", + "d on", + "Ġh yd", + "ĠW ord", + "Ġthous ands", + "Ġg rew", + "Ġpro port", + "T arget", + "Ġp ec", + "**************** ****************", + "sh are", + "h us", + "åĪ© çĶ¨", + "ĠF urther", + "Ġmar ç", + "Ġdis put", + "ĠR om", + "Ġd in", + "ĠPro fess", + "Ġte aching", + "но ве", + "ĠJ im", + "ĠP ass", + "éĤ£ äºĽ", + "Ġp ix", + "ĠSp ace", + "Ġprov ed", + "Ġder ived", + "}} _", + "ĠR am", + "ĠC re", + "Ġfrequ ently", + "综 åIJĪ", + "Ġindic ate", + "Ġra il", + "Ġm Ãł", + "Ġfl ux", + "å° ¼", + "Ġt ard", + "B S", + "ĠH ave", + "ul ous", + "Ġint el", + "Ġaccur ate", + "并 ä¸į", + "Ġlov ely", + "ad er", + "m osp", + "Ġap are", + "ĠA N", + "= >", + "æĢ§ çļĦ", + "Ġed it", + "istr ation", + "pro totype", + "Ġcall back", + "clud ed", + "g ood", + "h op", + "Ġm ón", + "Ġexpress ed", + "Ġgu ys", + "ĠT im", + "se curity", + "Ġb aix", + "ir ty", + "b at", + "Ġs ick", + "ĠMus ic", + "Ġli qu", + "ĠBu ild", + "Ġб е", + "Ġdist ingu", + "ĠOn line", + "b uffer", + "Ġre i", + "Ġmom ents", + "ĠN S", + "Ġl en", + "ant e", + "ur ies", + "W E", + "ĠRich ard", + "E very", + "b ind", + "Ġcr is", + "ĠR equ", + "æľī ä¸Ģ", + "ĠL ight", + "Ġmin or", + "t emplate", + "ĠJ O", + "Ġh ast", + "ĠL icense", + "sc ape", + "Ġvill age", + "qu è", + "m orrow", + "Ġwalk ed", + "l ap", + "al ysis", + "AP TER", + "p ref", + "Ġl ic", + "ĠN O", + "th rough", + "ĠT erm", + "Ð Ĺ", + "f inal", + "Ġhous es", + "Ġy ellow", + "word s", + "ĠCol or", + "ive red", + "T YPE", + "Ġla un", + "ĠEng ine", + "è® ¿", + "æļ ĸ", + "ä½ľ èĢħ", + "Âł Âł", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "Ġtre ated", + "ort hern", + "çĶ ²", + "л ни", + "Ġsus p", + "W indow", + "ol ly", + "Ġf ault", + "aus s", + "hol der", + "D R", + "æĬ ĺ", + "Ġp ip", + "åĪ« 人", + "Ġaccept ed", + "åįģ åĪĨ", + "or ter", + "pos itory", + "Ġh ole", + "ĠInst itute", + "O p", + "U rl", + "ĠHen ry", + "mod al", + "åĩº çļĦ", + "Ġrec all", + "om ic", + "ĠB rown", + "s v", + "Ġdecl ar", + "il arly", + "Ġп ла", + "ĠU ser", + "Ġem ot", + "æ¶ ī", + "Ġrem ained", + "Ġfair ly", + "ли за", + "Ġaccount s", + "ĠS ociety", + "ä½ł 们", + "or ation", + "ко ло", + "ĠU RL", + "ĠPro duct", + "Ġp adding", + "Ġcan cer", + "Ġab ans", + "ĠW ater", + "è¿Ľ ä¸ĢæŃ¥", + "Ġd b", + "è´Ł è´£", + "Ġh ospital", + "ĠTr ue", + "O nce", + "k o", + "Ġm erc", + "è¯ į", + "åĨ ¬", + "m ade", + "Ġsub t", + "Ġtell s", + "Ġseg ons", + "Ġforg ot", + "ĠSt and", + "p ons", + "Ġr ide", + "ott ed", + "Ġdr ag", + "util s", + "empt y", + "F ol", + "up lic", + "ĠH ill", + "Ġallow ing", + "ĠIs land", + "act ual", + "让 人", + "cle ar", + "ĠпÑĢе п", + "Ġо ÑĢ", + "Ġo sc", + "Ġex cess", + "ĠH a", + "Le vel", + "az z", + "é£İ éĻ©", + "\\ {\\", + "N e", + "ĠA P", + "end ent", + "add ress", + "un ci", + "Ġmark ed", + "Ġs ou", + "ĠM ap", + "Ġbill ion", + "ac cess", + "vid ia", + "Ġrec ip", + "Ġmed iana", + "Ġsche dule", + "ÑĢаÑĤ ки", + "Ġknow ing", + "Ġno ve", + "ĠN ova", + "åıĹ åĪ°", + "è¯ Ĭ", + "Ġsur vey", + "Ġclaim s", + "et ooth", + "Ġof icial", + "Ġb ond", + "ac a", + "Ġatt ached", + "ĠS uch", + "Ġm ouse", + "æľĢ ç»Ī", + "ç»ı 常", + "V E", + "å² Ľ", + "Ġemph as", + "Ġexperi ences", + "la w", + "M B", + "è¿ĩ åİ»", + "Ġs ports", + "Ġhy per", + "Ġr u", + "æĿIJ æĸĻ", + "Ġdes embre", + "ĠP op", + "Ġf ly", + "ç§ ĭ", + "ob e", + "pro d", + "åº Ĭ", + "By Id", + "ĠC ode", + "m ay", + "Ġpl a", + "Ġele g", + "Ġloc ations", + "am ples", + "ĠÐŁ а", + "Ġste el", + "ic ago", + "Ġqu i", + "ick er", + "P ass", + "çĥ Ł", + "Ġliter ature", + "Ġbr anch", + "ĠR ock", + "åıĺ åĮĸ", + "Ġза по", + "ÐĴ ÑĬн", + "建 è®®", + "Ġauth ors", + "Ġfor ced", + "ct r", + "Ġex port", + "Ġt ight", + "W idth", + "ма ÑĤа", + "л но", + "for ward", + "Ġexper iments", + "Ġj ul", + "ynch ron", + "Ġcon nections", + "ÃŃt ol", + "su ccess", + "çī Ļ", + "Ġl le", + "ĠT ry", + "Ġment al", + "æ¡ ¥", + "C or", + "ĠÑģа мо", + "Ġar c", + "w atch", + "qu are", + "çĬ¶ æĢģ", + "Ġl ift", + "车 åŀĭ", + "æĿ Ł", + "unt ament", + "ĠV an", + "_ ;", + "Ġobserv ations", + "Ġtot ally", + "åªĴ ä½ĵ", + "ff ect", + "de p", + "Ġb low", + "int o", + "min us", + "B undle", + "Ġad j", + "in ations", + "ä¹ ±", + "Ġdr am", + "Ġanc ient", + "Ġdedic ated", + "Ġcheck ed", + "带 æĿ¥", + "P i", + "å± Ĭ", + "ĠÐ Ļ", + "p ool", + "Ġmar riage", + "n i", + "Pro vider", + "Ġinstall ing", + "rel ated", + "Ġlay ers", + "Ġcare fully", + "Ġmix ed", + "Ġl ux", + "app oint", + "h ot", + "math scr", + "Ġme rely", + "ST R", + "Ġmot iv", + "Ġcons ists", + "ĠL ear", + "ç»ı èIJ¥", + "де ни", + "Ġprom ise", + "Ġо Ñģно", + "V ert", + "æĵį ä½ľ", + "Ġw itness", + "al ian", + "çĽ Ľ", + "å±ŀ äºİ", + "Ġd ies", + "i our", + "å¹´ è½»", + "Ġing red", + "ä½ĵ éªĮ", + "æ ¾", + "C opy", + "ĠMod el", + "Ġac adem", + "tr y", + "éĨ Ĵ", + "å ´", + "ĠJ ac", + "ĠEn ter", + "Ġnot ed", + "å® ½", + "å¦ »", + "Ġele v", + "Ġchalleng es", + "åĢ º", + "Def n", + "og rÃł", + "V e", + "Ġis ol", + "Th read", + "ĠMad rid", + "Ġwork ers", + "ÑĤ иÑı", + "Ġoper ators", + "ĠCar ol", + "em ail", + "å° ģ", + "çĿ £", + "Ġcalcul ated", + "ä¹Ł ä¼ļ", + "ific ate", + "ĠпÑĢеп ÑĢаÑĤки", + "R S", + "Ġma ig", + "èĵ Ŀ", + "Ġseg ment", + "k ins", + "c ustom", + "ĠAfr ica", + "our se", + "n am", + "Ġsc r", + "Ġart ist", + "Ġg un", + "Ġto ken", + "Pro duct", + "Ġident ified", + "Ġa id", + "il it", + "erv es", + "ÐĴÑĬн ÑĪни", + "V D", + "Ġsol ar", + "ĠH ence", + "ĠÑĤо й", + "D ist", + "Ġd ia", + "æľī 人", + "Ġfig ures", + "Ġimag ine", + "é n", + "ix en", + "Ġnove mbre", + "å¦ ĩ", + "ET TER", + "y cl", + "й Ñģки", + "Ġapproxim ately", + "Ġc ars", + "èĪ ŀ", + "Ġres et", + "åĿ ı", + "Ġcre ar", + "Ġco ast", + "ĠM ex", + "è® ¯", + "Ġst ead", + "Ġed ges", + "iven ess", + "Ġ{ }", + "åº ĵ", + "ke ys", + "L ocal", + "Ġgu ests", + "as i", + "ĠC LASS", + "m ount", + "t im", + "æ² ī", + "æı ¡", + "at ial", + "g ate", + "D em", + "è¯ ¢", + "缸 ä¿¡", + "i pl", + "ir med", + "Ġstand ards", + "è§ ¦", + "çļ® èĤ¤", + "Ġesc ape", + "m ond", + "ĠBl ue", + "èģĶ ç½ij", + "Ġsurpr ise", + "W ill", + "Ġdevelop ing", + "Ġsign ed", + "èij Ĺ", + "t mp", + "qu er", + "Ãł ncia", + "leg al", + "æĪIJ äºĨ", + "Ãł lia", + "Ġintrodu ce", + "i endo", + "Ch ange", + "u j", + "w ing", + "Ġvert ical", + "sh ift", + "Ġext ent", + "ús ica", + "ic ons", + "ĠFlor ida", + "Ġauthor ity", + "r ant", + "çº ¯", + "çº ¸", + "Ġt one", + "\" ?", + "ĠD en", + "ent er", + "Ġj av", + "Ġg ather", + "Ġkind s", + "Î ±", + "Con nection", + "ĠV ict", + "åĪ º", + "Ġt on", + "ĠfamÃŃ lies", + "æ¹ ¿", + "к иÑĤе", + "Ġevent ually", + "Ġgu y", + "L S", + "Ġdivers es", + "ert s", + "P el", + "IT Y", + "Ġd ins", + "Ġmet ric", + "_ -", + "M C", + "Ġem p", + "B efore", + "严 éĩį", + "ĠL os", + "FA ULT", + "Ġcl ust", + "Ġv ote", + "ĠA mb", + "T ag", + "åIJ ī", + "з да", + "est ion", + "Ġte a", + "Ġac ab", + "he t", + "åİ ļ", + "Ġrep ly", + "Ġd èc", + " ®", + "ad v", + "Ġconcern ed", + "ĠL ady", + "Ġc ra", + "Par ameter", + "Ġhe av", + "ĠSc ott", + "ĠS O", + "æİ Į", + "ĠÑģÑĬ Ñīо", + "Ġlog ic", + "Ġinte ger", + "aut o", + "æļ ´", + "æľī åħ³", + "Ñģе ле", + "åIJİ çļĦ", + "av ant", + "Ġsub sequ", + "æŃ£ åľ¨", + "ç® ±", + "W ork", + "Ġfact s", + "Ġstrong ly", + "im p", + "ang ular", + "Ġd ent", + "OR M", + "Ġstud ied", + "ĠJ ud", + "éĩĮ çļĦ", + "Inter face", + "Ġsupport s", + "Ġrepl aced", + "Ġopt imal", + "th an", + "в на", + "te ct", + ": (", + "ent a", + "æ£Ģ æŁ¥", + "ĠM en", + "Ġsu it", + "åİ ħ", + "Ġp hen", + "Ġdraw ing", + "ç¾İ åħĥ", + "ĠS ar", + "Ġagre ed", + "ä¸ĵ 家", + "建 çŃij", + "åģ ı", + "Ġbig gest", + "IM E", + "Ġsu gar", + "Î ¿", + "Ġt ut", + "be en", + "Ġo s", + "è° ĵ", + "Ġst ores", + "åijĬ è¯ī", + "Ġcult ural", + "ve ctor", + "Ġposs ibility", + "Ġbuy ing", + "Ġcre ation", + "ç§ Ł", + "Ġstruct ures", + "Ġarg s", + "Ġresta urant", + "Ġhe aring", + "Ġb are", + "ag ost", + "ĠSte p", + "() :", + "am d", + "Ġdist ributed", + "Ġu int", + "s ite", + "ĠH REF", + "bl ue", + "Ġpro c", + "Ġinst it", + "æİ ª", + "Ġimpro ved", + "и м", + "ic he", + "T ree", + "os is", + "Ġbr ings", + "res a", + "r ÃŃ", + "б Ñĥ", + "Ġs y", + "() -", + "e cho", + "Ġab andon", + "ме й", + "Ġeconom y", + "Ġc ities", + "Ġaut hentic", + "ĠL ETTER", + "Ġre tain", + "ĠY ear", + "Ãł m", + "re q", + "Ġst orm", + "ÑĥÑĢ г", + "Ġocc urs", + "bo ol", + "ERR OR", + "ess ions", + "Ġ è", + "bre r", + "ĠT R", + "Ġco verage", + "åıª èĥ½", + "ĠTh ursday", + "Ġenjoy ed", + "ĠO p", + "Ġk ne", + "Ġassist ance", + "ĠCl ick", + "eff ect", + "Ġs izes", + "ĠS ud", + "Ġcharg ed", + "est at", + "O ther", + "æĶ¶ åħ¥", + "éģ Ĺ", + "Ġdynam ic", + "æĥ ¯", + "Ġhard ly", + "Ġwhe never", + "ĠT uesday", + "Ġtra ined", + "const ruct", + "Ġdesp ite", + "Ġtip us", + "anes e", + "Ġsatisf ied", + "âĤ ¬", + "Ġp ra", + "Ġlim its", + "Ġexp ansion", + "Ġgu erra", + "Ġre form", + "Ãł ct", + "Ġex it", + "Ġv ast", + "æľĢ é«ĺ", + "c ular", + "yn om", + "ç³» åĪĹ", + "ab ril", + "çĶµ è¯Ŀ", + "Ġw aves", + "}} )", + "Ġnorm ally", + "â ĸ", + "Ġf ederal", + "ió n", + "Ġcont ained", + "Ġl ies", + "ĠHT ML", + "å¤ļ çļĦ", + "Ġph ilos", + "Mod ule", + "ç½ij åıĭ", + "Ġfl ash", + "Ġa cknow", + "个 æľĪ", + "H i", + "i ences", + "ym met", + "Hist òria", + "O ption", + "H ttp", + "est a", + "Ġpl ate", + "èĪ Ĵ", + "Ġreason able", + "ĠB E", + "b es", + "ac s", + "Ġcapt ure", + "f ica", + "ÑĨи ал", + "Ġd ip", + "Ent ry", + "Ġprincip le", + "U sing", + "ä¼ĺ åĬ¿", + "ä¿Ŀ éĻ©", + "Ġл е", + "Ġsil ver", + "= $", + "ĠMore over", + "设 å¤ĩ", + "ĠAd v", + "ul o", + "ar se", + "Ġser ial", + "ĠÐł Ñĥ", + "Ġtell ing", + "æİ¥ åıĹ", + "Ġspeak er", + "ĠM ult", + "D ocument", + "æķ´ 个", + "Ãł s", + "ob l", + "ĠAt l", + "V ol", + "il ly", + "æŃ£ 常", + "ĠS and", + "ç ¦ģ", + "CO DE", + "inc iples", + "ç ŀ", + "az ine", + "ri or", + "Ġdis appe", + "ĠH ard", + "c ould", + "Ġпо лÑĥ", + "G S", + "Ġmount ain", + "ĠB ob", + "ĠÑģ по", + "ĠÐ ®", + "ä¸Ģå®ļ è¦ģ", + "å± ı", + "b ot", + "T ypes", + "åıĤ ä¸İ", + "åı¯ æĺ¯", + "Ġde ix", + "G ood", + "л ко", + "Ġjul iol", + "Ġev ident", + "ress ion", + "ĠCent re", + "å®ŀ æĸ½", + "OM E", + "ĠSh ow", + "Ġclass ic", + "amp ions", + "ĠP oint", + "é t", + "Ġrepresent ed", + "R ed", + "Ġindic ates", + "p ay", + "Ġhead er", + "Ġappro aches", + "Cont ainer", + "Ġcompet ition", + "Ġcontin ues", + "w orth", + "he m", + "ĠM ur", + "ĠCong ress", + "Ġpro peres", + "Ġdet ection", + "åĮ» çĸĹ", + "ç¿ »", + "Ġе дин", + "Ġdesign s", + "Ġcre am", + "aw s", + "R ange", + "Ġrelig ious", + "F C", + "w orld", + "st op", + "Ġbreak fast", + "Ġstand s", + "H is", + "Ġlo an", + "æľīéĻIJ åħ¬åı¸", + "Ġoccur red", + "\" _", + "pass word", + "æĶ¹ åıĺ", + "ĠUS A", + "åħ³ éĶ®", + "ç§ ģ", + "S m", + "G REE", + "N one", + "equ al", + "D ATE", + "t ocol", + "Ñĩ на", + "J son", + "огÑĢа ÑĦиÑı", + "ĠW al", + "Ġtr igger", + "Ste p", + "Ġcomenç ar", + "æĥ ł", + "B r", + "ä¸ĭ çļĦ", + "æ³ķ å¾ĭ", + "éļ IJ", + "li k", + "Ġconf erence", + "Ġgr id", + "re ncy", + "Ġsome where", + "女 人", + "ĠAmaz on", + "Ġcho ices", + "Ġll eng", + "Ġsn ap", + "ag ram", + "el a", + "Ġcaus a", + "Ġsh ock", + "Ġra re", + "ç¼ ĵ", + "aut h", + "Ġob serve", + "éĺ µ", + "ĠY et", + "çļĦ æĥħåĨµ", + "Ġwe alth", + "èģĶ ç³»", + "ĠDirect or", + "M ark", + "åĬ¨ åĬĽ", + "Ñĩа ва", + "ĠP ub", + "Ġim per", + "Ġdec isions", + "Ñĥ ÑĤ", + "Ġc ere", + "Ġdoll ars", + "return s", + "е ли", + "Ġestim ated", + "Ġbe ach", + "ĠTw itter", + "ĠC PU", + "Ġj ournal", + "Ġre vol", + "ĠE vent", + "åºĶ çĶ¨", + "am ps", + "og gle", + "Ġte ach", + "ĠÑĦ и", + "è°ĥ æķ´", + "p ub", + "st ore", + "п ÑĬл", + "éĴ ¢", + "ĠUn ion", + "sem ble", + "Ġs ab", + "est amp", + "M ult", + "ĠC irc", + "Ġyes terday", + "L ong", + "Ġv on", + "Ġt ou", + "PO ST", + "b an", + "åľ Ĩ", + "Ġpur s", + "çļĦ éĹ®é¢ĺ", + "text rm", + "Ġ ::", + "Ãł nia", + "Ġdru g", + "call ed", + "ask et", + "éĵ ¾", + "æĪij åĽ½", + "çĶµ å½±", + "class es", + "sc reen", + "Ġsk ill", + "istr ict", + "ble m", + "Ġoffic er", + "b led", + "Ġbel ief", + "Ġcap able", + "ib les", + "Ġm m", + "be red", + "ool s", + "Ġpost erior", + "P e", + "Ġat mosp", + "Ġpol ar", + "ep ing", + "Ġl inux", + "Ġgreat ly", + "Ġs port", + "Ġexper ts", + "éŁ ©", + "Ġosc ill", + "Ġbel ie", + "å¹ ķ", + "ĠGu erra", + "under line", + "éĶ ħ", + "Ġmen ys", + "åħ± åIJĮ", + "Ġe ating", + "n ombre", + "çĮ ®", + "am ber", + "ÃŃ ncia", + "Ġhol iday", + "Ġsign s", + "S l", + "ç¬ ¦", + "igh ter", + "ĠW HERE", + "æĮ ij", + "Ġfund s", + "Ġt rem", + "ç»ĵ åIJĪ", + "ĠVir gin", + "Ġна д", + "ell ar", + "Ġpos itions", + "\\ '", + "以 æĿ¥", + "ound ed", + "B E", + "trans form", + "g reat", + "ĠS D", + "ost a", + "æĹł 论", + "Config uration", + "GREE K", + "}} ,", + "Off set", + "Ġb in", + "H O", + "Ġacon segu", + "ĠT ake", + "Ġpe ak", + "Ġinstr ument", + "Ġprep are", + "man n", + "ĠD ig", + "èĢĮ æĺ¯", + "id en", + "Ġper met", + "ĠE r", + "ĠWed nesday", + "press ed", + "ie ce", + "ent h", + "æİ Ī", + "Ġe igen", + "Ġtr ick", + "Ġwor st", + "Q ue", + "è ne", + "Ġo t", + "V ID", + "ĠDem ocr", + "Ġj u", + "ĠSM ALL", + "Ġprov ider", + "is ely", + "ĠÑĢа бо", + "ĠP age", + "Ġcont ribution", + "w a", + "Ġth orough", + "å¿ ĺ", + "Ġn ine", + "F ut", + "o z", + "ä¼ Ļ", + "pro to", + "Ġnecess arily", + "to ol", + "V a", + "Ġdisc ount", + "Ġoffic ers", + "ĠP erson", + "Ġd ialog", + "py thon", + "Ġper què", + "er red", + "ĠCan ad", + "rom ise", + "Ġprofession als", + "M ed", + "AC E", + "б еÑĢ", + "n one", + "M ake", + "Ġw est", + "aquest a", + "ĠMan ager", + "æĸ¹ åIJij", + "am l", + "ĠCom mit", + "ĠL ast", + "æ± ĩ", + "G ET", + "ĠGerm any", + "Ġrem ind", + "Ġorgan izations", + "t ons", + "æ¶Īè´¹ èĢħ", + "Ġtr ace", + "Ġqu è", + "at iva", + "Ġfour th", + "ic ian", + "omet ric", + "ĠF ire", + "ĠнÑı ко", + "ĠG ar", + "ä¹ ĺ", + "к ÑĢа", + "Ġjun y", + "ĠSer ies", + "Ġcom plic", + "ĠCont rol", + "ĠEduc ation", + "Ġlay out", + "å°¤ åħ¶", + "erm an", + "Ġtr ou", + "ĠHist ory", + "æĶ¹ éĿ©", + "æĹ Ĺ", + "ĠCap tain", + "% %", + "å± ĭ", + "Ġgr ass", + "arch ive", + "ĠF ull", + "çĥ §", + "ĠSe cond", + "Ġdo ors", + "æ» ij", + "Ġcatal Ãł", + "el i", + "éĻ Ĩ", + "Ñĥ н", + "èĥ ĥ", + "ĠD uring", + "Ġcomm unities", + "ĠС а", + "j pg", + "is er", + "s end", + "rim oni", + "Ġbl ank", + "Ġre b", + "Ġpl ays", + "Ġret ail", + "are st", + "Ġs oci", + "S w", + "éº »", + "Ġpartic les", + "en es", + "ok ing", + "M ENT", + "hel p", + "on der", + "ĠÐĶ и", + "ge u", + "幸 ç¦ı", + "ĠF ind", + "L P", + "St at", + "éĿ¢ 对", + "家 éķ¿", + "Ġshop ping", + "Ġfe brer", + "are r", + "ant ly", + "Ġм ного", + "ĠT our", + "H ave", + "Pro ject", + "Ġdifficult y", + "r w", + "Ġsè rie", + "Ġmatch ing", + "ident ial", + "Ġtest ed", + "met res", + "ition ally", + "Ġcl othes", + "subset eq", + "ĠSoft ware", + "群 ä¼Ĺ", + "w all", + "Ġexec ution", + "text tt", + "act iv", + "Ġsh arp", + "Ent ity", + "Ġmeasure ments", + "ĠD B", + "art ifact", + "h ard", + "cl oud", + "Ġre put", + "Ġв ек", + "Ġcalcul ate", + "å¯ »", + "Ġenh ance", + "ä¿Ŀ éļľ", + "èī² çļĦ", + "are t", + "Ġfl ight", + "è± ª", + "Ġconven ient", + "Ġchem ical", + "q ü", + "t ask", + "Ġg ap", + "S u", + "ĠW all", + "Ġgu est", + "éĢ Ķ", + "an ish", + "a way", + "Ġc m", + "Ġ ig", + "Ġh all", + "CH APTER", + "de g", + "Âł km", + "et o", + "co in", + "Ġclos ely", + "I llustr", + "() {", + "Ġt rib", + "Ġlight s", + "Bu ild", + "U ID", + "Ġutil itz", + "riv ial", + "å· Ŀ", + "est ed", + "Ġdis abled", + "Ġinter val", + "M orts", + "Ñģ ен", + "Ġsust ain", + "C ore", + "i em", + "ĠL im", + "驾 驶", + "ĠÐŁ е", + "ä¸į çŁ¥éģĵ", + "Ġbel ieved", + "se arc", + "err ing", + "Ġmil k", + "Ġre ward", + "Ġexplan ation", + "Ġdriv en", + "c ript", + "Ġmain tenance", + "ok ed", + "set tings", + "S ign", + "Ġw arning", + "Ġ _{", + "AP I", + "Ġke eps", + "å¯ Ĵ", + "ĠH or", + "во ÑĢ", + "Ġaccom mod", + "================ ================", + "å°ı ç¼ĸ", + "в но", + "ĠS ign", + "Ġe ase", + "F L", + "d m", + "Ġgr ant", + "mod ules", + "Ġgr at", + "Ġmass ive", + "ĠM S", + "ĠReturn s", + "l ive", + "Ġs orry", + "empres es", + "Ġh orses", + "ĠInst all", + "Ġmod ified", + "ĠHam ilton", + "p atch", + "Ġfocus ed", + "unt ing", + "Ġsign als", + "j oin", + "в ни", + "åıĬ æŶ", + "Ñģ иÑı", + "з иÑı", + "M any", + "Ðł о", + "ar l", + "Ġbro ke", + "éĿ¢ çļĦ", + "Ġinv ent", + "ĠS che", + "ĠB on", + "cur s", + "-------------------------------- --------------------------------", + "ĠD ie", + "Ġdepart ment", + "ĠJ SON", + "ill ing", + "Ġdog s", + "ĠP S", + "e very", + "Ġ( _", + "ò nia", + "Ġdeterm in", + "è® ¨", + "Ġt engo", + "Ġinterest s", + "Ġs ail", + "æ³ ¡", + "Ġarchitect ure", + "е м", + "h om", + "Ñĩи на", + "Ġreal ize", + "åħ· ä½ĵ", + "Ġmin imal", + "ink ing", + "Ġindust rial", + "Ġvalu able", + "æ· ·", + "建 ç«ĭ", + "n eg", + "mod els", + "H ost", + "Ġcont ents", + "W ho", + "å¼ Ł", + "Ġг ÑĢÑĥ", + "è rc", + "ä¼ļ è®®", + "Ġres id", + "ĠG i", + "ĉ for", + "ut a", + "Ġbut ter", + "Ġneighbor hood", + "Ġconstraint s", + "å®Ŀ å®Ŀ", + "çĶŁ çļĦ", + "Ġsuggest s", + "æ´ ĭ", + "t oken", + "rodu ction", + "æ· ¡", + "Ġr ig", + "ĠH i", + "pl ugin", + "ĠA ccess", + "ex port", + "Ġdis pl", + "i ate", + "or al", + "Ġev il", + "ĠF amily", + "G O", + "P N", + "ac on", + "ĠCorpor ation", + "F ont", + "Ġ Ñ", + "Ġpob le", + "Ð ¥", + "? '", + "Ġassum ed", + "» .", + "ib ilities", + "æ³ķ éĻ¢", + "Ġh ook", + "ç»ı éªĮ", + "н Ñģки", + "on el", + "He ight", + "ç§ ĺ", + "ĠS aint", + "ĠM ethod", + "æ´ ģ", + "ver b", + "ĠCom mission", + "Ġra w", + "Ġexec ute", + "au x", + "d ocs", + "Ġcon vent", + "Ġnatur ally", + "Ġimprove ment", + "éĺ¶ æ®µ", + "éķ ľ", + "D P", + "Ġd ades", + "ell es", + "ist an", + "Ġrec ipe", + "tot al", + "ĠMart in", + "Ġdi et", + "ли ÑĤи", + "ag u", + "we et", + "foot note", + "è¿ĩç¨ĭ ä¸Ń", + "ĠD at", + "B R", + "Ġal bum", + "uc ion", + "г иÑı", + "Ġta ught", + "æĿ¥ èĩª", + "Ġcomm itted", + "ens ed", + "ĠE arth", + "Ġsong s", + "她 çļĦ", + "C ap", + "Ġfem ale", + "ĠWh ich", + "Ñħ и", + "M ost", + "èĥ ¡", + "Ġshe et", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ <", + "Ġdim ensions", + "å¦Ĥ ä»Ĭ", + "Ġ' /", + "Ġrec over", + "ĠTe am", + "T A", + "Ġhe aven", + "Ġh ung", + "Ġinst ances", + "Ġl icense", + "åĬł 强", + "Ġg ro", + "æī ©", + "Ġar rest", + "Ġwhe el", + "ĠCh icago", + "ĠF ield", + "丰 å¯Į", + "ве ÑĤе", + "qu et", + "The ta", + "Ġple ased", + "Ġfac ilities", + "ploy ment", + "ĉ },", + "On ly", + "ent ity", + "ĠпÑĢо из", + "Ġread ers", + "ĠAn other", + "èĤ Į", + "id get", + "l g", + "ĠC reat", + "Dev ice", + "åĪĨ åĪ«", + "Ġman ifest", + "Ġsim ulation", + "ĠSec ret", + "åŃ ķ", + "Ġrefer red", + "Ap plication", + "åĬ ±", + "Ġinter f", + "pl an", + "or ro", + "ick ed", + "Ġmeasure ment", + "Ġcomp ute", + "em per", + "Ġact s", + "igu a", + "Ġh tml", + "éĽ ħ", + "Ġb g", + "Ġax is", + "Ġeffect ively", + "Ġde bt", + "Pos ition", + "Ġvol unte", + "ĠC at", + "ĠN ov", + "è® ¢", + "é¦ĸ åħĪ", + "P RE", + "Ġclos er", + "ĠSE LECT", + "Ġext end", + "Ġel l", + "c opy", + "Ġl it", + "æݨ è¿Ľ", + "åŃ Ļ", + "Ġde pos", + "ang o", + "Ġthe orem", + "Ġp oc", + "Th us", + "line width", + "Ġhas h", + "set minus", + "cl ip", + "ĠIn it", + "Ġrelationship s", + "Ġfe els", + "æķħ äºĭ", + "é¾ Ħ", + "Ġcu ando", + "ĠG R", + "Set tings", + "f old", + "Ġpolic ies", + "Ġx ml", + "M enu", + "Ġregist ered", + "æī ¶", + "Ġb old", + "Ġband a", + "ER S", + "T ra", + "ĠP ay", + "Ġgrow n", + "Ġcrow d", + "åı¦ å¤ĸ", + "æĩ Ĥ", + "Ġdel ivered", + "G IS", + "Ġt rop", + "æķ ¢", + "ĠF und", + "Ġstat ist", + "Ġm ole", + "N um", + "align ed", + "A Y", + "angu ages", + "Ġacc eler", + "ir al", + "Ġpat terns", + "Ġclean ing", + "ok es", + "Ġconcern s", + "ast s", + "ĠF it", + "å¼ ĥ", + "ĠD ist", + "ло же", + "ic ians", + "Head er", + "res ol", + "ĠDevelop ment", + "g age", + "Ġstrateg ies", + "A nt", + "b its", + "Ġab und", + "m al", + "Ġi P", + "æĿ ¯", + "sh all", + "Ġn omen", + "Util s", + "< <", + "ĠT ABLE", + "Ġalg uns", + "Ser ial", + "ag ain", + "Ġt error", + "Ġrad ius", + "Ġ: )", + "å°± åı¯ä»¥", + "å¾Īå¤ļ 人", + "orith ms", + "B N", + "ла ÑĤа", + "C ustom", + "Ġpre ced", + "is a", + "Ġple asant", + "Ġload ed", + "é½ IJ", + "Ġveh icles", + "ost on", + "ĠF red", + "ish ment", + "çĶµ è§Ĩ", + "p u", + "wid get", + "L o", + "Ġdanger ous", + "Ġaspect s", + "Ġest ava", + "Ġent ries", + "Ġre boot", + "æľ «", + "ĠJ ournal", + "åģļ 好", + "Ġpartic le", + "çĮ ª", + "Ġgr ace", + "Ġfil ename", + "ä½į ç½®", + "Ġwire less", + "è m", + "n ome", + "Ġdec ay", + "Ġassum ption", + "H as", + "Ġclass ical", + "ush ing", + "Ar t", + "P H", + "Ġest o", + "O UT", + "N OT", + "Ġsp ending", + "ĠAc adem", + "æķĻ å¸Ī", + "Ġteac hers", + "Em pty", + "P M", + "cl ock", + "ad min", + "the less", + "Ġch annels", + "g ent", + "åIJĮ æł·", + "ro ke", + "çĶ³ 请", + "Ġre nder", + "Ġben ch", + "д ни", + "Ġиз пол", + "Ġvisit ors", + "def inition", + "Un it", + "Call back", + "am os", + "Ġw arn", + "Ġsh r", + "rit ing", + "ul er", + "Ġstru ck", + "Ġbl ind", + "a ver", + "Ġim ped", + "车 è¾Ĩ", + "styles heet", + "è¯ ļ", + "ĠMed ia", + "Ġrend a", + "Ġresol ve", + "ug ment", + "åIJİ æĿ¥", + "Ġм ай", + "Ġ\\ ;", + "de lete", + "Ġap ro", + "com es", + "åĢ į", + "lo op", + "St ore", + "ere nc", + "ire ction", + "ĠC op", + "A v", + "ÑģÑĤо ÑĢиÑı", + "æ¯ «", + "Ġrest ore", + "sh ort", + "Ġprop ag", + "Ġarr ang", + "in ternal", + "rop y", + "Ġaw esome", + "Ġs ending", + "æĮ Ĥ", + "Ġcare ful", + "Ġjud g", + "IC E", + "Ġquant ity", + "Ġch ip", + "Ġredu ction", + "Ġpract ices", + "éĤ£ 个", + "ĠN umber", + "P ref", + "ĠÐł о", + "ĠC amb", + "ĠB ern", + "IN S", + "mult i", + "Ġper mission", + "Ġlist s", + "ĠPr ice", + "Ġnú mer", + "Ġbring ing", + "Ġup load", + "o est", + "ĠS af", + "l ie", + "ĉĉ $", + "Ġpoint ed", + "Ġwonder ing", + "W S", + "ific ar", + "ple ments", + "Ġinj ury", + "Ġgood s", + "Ġbig ger", + "ĠInst ead", + "л на", + "èħ ¿", + "Ġmod es", + "Ġcompre hens", + "Ġhead s", + "Illustr ation", + "ĠM as", + "c ases", + "Ġtechn ique", + "æ± ¤", + "Ġhist òria", + "Ġdest ination", + "б ÑĥÑĢг", + "ĠL INE", + "f ire", + "Ġf o", + "Ġj son", + "ĠN ext", + "æĥ³ è¦ģ", + "åĭ ĩ", + "åİĭ åĬĽ", + "å¤ļ å°ij", + "Ġ[ '", + "Ġ} )", + "Ġag ents", + "v ironment", + "J ohn", + "Ġbr ill", + "Ġp airs", + "Ñīа ÑĤа", + "i h", + "il st", + "Ġun defined", + "P ORT", + "t ar", + "list a", + "Ġmat ches", + "Ġdynam ics", + "e en", + "ĠQue en", + "Ġover ride", + "res ource", + "oph y", + "z ero", + ".. .\"", + "Ġsub set", + "ag ers", + "Ġappreci ate", + "Ġthe ore", + "ÑĢи о", + "\" ))", + "Ġrece iving", + "M ac", + "p id", + "Ġcas a", + "ĠRoy al", + "ĉ /**", + "k et", + "m ag", + "Ġsitu at", + "Ġf raction", + "Ġsubst ant", + "ĠX X", + "ock er", + "Ġver tex", + "ins ert", + "çİ° 代", + "Ġsurpr ised", + "st able", + "Ref erence", + "um ps", + "Ġpow ers", + "Ġach ieved", + "ÃŃst iques", + "Ġhapp ening", + "web kit", + "Ġcharg es", + "s os", + "Ġej emplo", + "ĠP RO", + "f ocus", + "lo v", + "Ġgener ic", + "ĠL ine", + "æķ´ ä½ĵ", + "åĶ IJ", + "Ġphen omen", + "è¿ ª", + "ç»ĵ æŀĦ", + "at rix", + "l ers", + "稳 å®ļ", + "Ġl ips", + "Ġsens or", + "Ġjust ice", + "he mat", + "Ġs ed", + "ip p", + "Ġg auge", + "ò p", + "Ġcr im", + "æĸĩ ç«ł", + "ĠPro cess", + "Ġcandid ate", + "A mer", + "ĠC ab", + "sk i", + "Ġgr ans", + "Ġpol ynom", + "Ġdèc ada", + " ²", + "Ġsearch ing", + "ĠV en", + "\") );", + "cont roller", + "Ġn arr", + "ÑĨи она", + "Ġth reshold", + "çĸ¾ çĹħ", + "S um", + "Ġdon a", + "Ġr is", + "Ġmach ines", + "ber ry", + "Ġrecogn ized", + "Ġconstant ly", + "boot strap", + "Ġ urb", + "Ġsur g", + "Ġsil ence", + "Ġlink ed", + "Ġd ance", + "ĠC ath", + "Ġarrib ar", + "F inally", + "Ġv ul", + "ch arge", + "Ġs elling", + "åĩı å°ij", + "çļĦ é«ĺ", + "Ñģ ла", + "éķ¿ æľŁ", + "Ġs ys", + "Ġwhere as", + "ĠTh ose", + "æľĢ 大", + "C le", + "Ġme al", + "é ŀ", + "宣 ä¼ł", + "ĠG all", + "el le", + "ĠRe port", + "ĠP ac", + "point s", + "Ġpart ial", + "Ġn oun", + "Ġprofess or", + "Ġh ang", + "æĪIJ 绩", + "ĠÐĿ и", + "Ġdocument ation", + "Ġus ar", + "éĺ ħ", + "Ġsup erv", + "E C", + "ĠVal ue", + "are a", + "Ġcrit ic", + "Ġas ide", + "ere r", + "ĠM ir", + "çĶŁ æĢģ", + "Ġоб Ñīи", + "äºĴ èģĶç½ij", + "N T", + "Ġbeg ins", + "urop a", + "Ġform ation", + "ĠCom put", + "cal e", + "ĠC ore", + "Se ction", + "Ġp p", + "artifact Id", + "arc a", + "ĠDes prés", + "Ġpl astic", + "ĠSec urity", + "Ġre searc", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠ", + "Ġfun ción", + "ĠS y", + "Ġst rip", + "Ġcast ell", + "Ġco ach", + "ĠSup port", + "Com ple", + "\" '", + "Ġscen ario", + "b order", + "äºİ æĺ¯", + "Ġres idents", + "Ġf ool", + "it an", + "Ġk id", + "\"../../../../ ../", + "äºĭ æĥħ", + "Acc ording", + "ĠC ur", + "ok er", + "d ated", + "T wo", + "l an", + "ä» ª", + "il ib", + "ult ure", + "åĿ Ģ", + "g it", + "çĽ Ł", + "ĠF OR", + "_{ (", + "h ash", + "Ġestab l", + "w est", + "with out", + "Ġgr am", + "ner gy", + "çļĦ å¿ĥ", + "è§Ħ 模", + "Ġjud ge", + "ĠF estival", + "ÑĤе ÑĢ", + "éģ į", + "Ġc ot", + "us her", + "Ġord inary", + "Ġman ually", + "ĠF inally", + "d x", + "form ance", + "ron ic", + "ocol ate", + "ĠDev ice", + "Ġcateg ories", + "èĢĥ èĻij", + "äºĭ ä¸ļ", + "Ġatt ributes", + "ÑģÑĤа в", + "ĠG ame", + "* {", + "ĠMuse um", + "Ġlik ed", + "Q U", + "Ø §", + "ert y", + "ĠV AL", + "Ġinst ruction", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "Ġh ay", + "E sp", + "ĠJ un", + "ÑĢа ди", + "ut en", + "Ġup grad", + "hor a", + "ĠE ll", + "éĩı çļĦ", + "æł¸ å¿ĥ", + "ĠT re", + "Ġri u", + "Ġad min", + "Ġreli able", + "ograph ic", + "F igure", + "im ately", + "ĠÑĥ Ñģ", + "Ġinter rupt", + "å¿ Ļ", + "Ġfun c", + "Ġexperiment al", + "R R", + "ĠB ud", + "M ain", + "Ġst uck", + "Ġbound ed", + "Ġfoot ball", + "Ġsatisf y", + "Ġc osa", + "æī§ è¡Į", + "è¶ ĭ", + "ĠAr ts", + "ĠM ot", + "Ġf ra", + "ĠÑĦ ил", + "æī ¬", + "st al", + "E rr", + "ĠSc ot", + "Ġpar se", + "å® Ĺ", + "Ġdisplay ed", + "å¼ķ èµ·", + "ĠW i", + "ĠB ase", + "ÃŃ tic", + "co hol", + "да ÑĤа", + "ĠSp anish", + "æħ §", + "c b", + "D eb", + "Ġm ask", + "ĠÐŀ ÑĤ", + "éļ Ķ", + "L oc", + "ä¼ °", + "Ġpriv ile", + "Le ft", + "ĠD ownload", + "Ġconsider ation", + "com ponent", + "Å ¯", + "å° ¿", + "F oot", + "sub figure", + "Ġprot ocol", + "d em", + "Ġme at", + "re place", + "ĠС ÑĬ", + "Ġm and", + "ä¸Ģ个 人", + "Ġ\" \\", + "Ġcompat ible", + "Ġsac r", + "ys ical", + "ноÑģÑĤ ÑĤа", + "åħ¨ éĥ¨", + "N on", + "ÑĦ оÑĢ", + "th read", + "l ate", + "Ġmain ly", + "ĠB efore", + "Ġpa ÃŃs", + "d agger", + "ä¹ł æĥ¯", + "Ġemploy ed", + "Ġcl ause", + "Ġg re", + "ĠMay be", + "Ġany way", + "Ġso le", + "ual ity", + "ç¼ ©", + "æīĵ éĢł", + "qu itect", + "Ġexc iting", + "æĽ´ æĺ¯", + "Ġrespons ibility", + "ĠSpec ial", + "Ġ* )", + "g reen", + "be ing", + "Ġmechan ism", + "Ġv ib", + "ON E", + "ĠComm unity", + "Ġa plic", + "éĥ½ ä¸į", + "меÑĢи кан", + "Ġsecond ary", + "Ġdis h", + "E CT", + "ag en", + "U D", + "Ġsw im", + "ниÑı ÑĤа", + "end a", + "Ġ ðŁ", + "Ġha ver", + "ut ch", + "Ġapproxim ation", + "Ġa st", + "åıĸ å¾Ĺ", + "Ġsen ior", + "Ġconfig ur", + "ĠPh ot", + "Ġo h", + "ĠM ath", + "ĉ Ġ", + "ä¿Ŀ è¯ģ", + "par ameter", + "çĶµ åŃIJ", + "ĠCommit tee", + "ac count", + "ÑĤи ÑĤе", + "Ġpick ed", + "æij ©", + "Ġh urt", + "Ġimmedi ate", + "èĮĥ åĽ´", + "çĭ Ĺ", + "Ġapply ing", + "Ġи ме", + "ĠAl g", + "R C", + "Ġpers pective", + "Ġapparent ly", + "Ġbuild ings", + "æ± ł", + "Ġb tn", + "ĠP DF", + "ri um", + "el ing", + "ms g", + "Ġcitiz ens", + "ĠV ersion", + "æ¶Ī æģ¯", + "dis c", + "æĪIJ æľ¬", + "f amily", + "Ġd rew", + "Ġfunction al", + "O U", + "æ± ¡", + "Sh ow", + "Ġguarant ee", + "Ġrequest s", + "ĉĉĉĉ ĉĉĉ<", + "ĠTr ump", + "Ġp sych", + "el ly", + "HT ML", + "èĦ ı", + "Or der", + "æľī äºĨ", + "Ġh ide", + "fo o", + "Ġt ÃŃtol", + "æĤ ī", + "Ġrelig ion", + "al i", + "Ġplan et", + "Ġcommon ly", + "ri u", + "Pro perties", + "group Id", + "er ning", + "Ġsent ences", + "ĠO K", + "u v", + "opl us", + "ĠZ e", + "gl obal", + "Ġe ast", + "Ġconstru cció", + "sec ut", + "ç¼ ĺ", + "ĠA ix", + "éĢĤ åIJĪ", + "Ġparticip ants", + "Ġby te", + "Ġal ert", + "Ġext reme", + "ĠN acional", + "èµ ¶", + "k now", + "ro g", + "Ġfeel ings", + "Ġch at", + "Ġte eth", + "çĶ· 人", + "Ġt ub", + "è´Ń ä¹°", + "Ġtem p", + "ÑĤ ни", + "Ġf aces", + "Ġp up", + "Ġw rap", + "Ġin fr", + "ĠF re", + "av el", + "w ait", + "ĠH aw", + "Ġmor al", + "t ics", + "Ġp ag", + "æ½ ®", + "æĻ® éĢļ", + "Ġfant astic", + "d ia", + "Ġdecl ared", + "Ġpl ugin", + "Ġsee king", + "ip ping", + "ct x", + "Ġdis able", + "ĠW ay", + "d k", + "Ġmark ets", + "z ed", + "Ġc ro", + "åIJ ´", + "ang ers", + "è¡Į åĬ¨", + "Ġm use", + "Ġprincip als", + "Ġtrans formation", + "ust ed", + "he rent", + "Ġse ctions", + "lim its", + "Ġcollect ed", + "é£Ł çī©", + "Ġprov ÃŃncia", + "{ (\\", + "cre en", + "ĠбÑĬлгаÑĢ Ñģки", + "ruct ure", + "l abor", + "Ġv o", + "er als", + "ĠТ е", + "l arge", + "et ic", + "ĠL in", + "Ġde ck", + "ĠR ome", + "' ],", + "att ice", + "Ñģ Ñı", + "result s", + "Ġscient ific", + "u ir", + "ĠHe ad", + "æ¥ ļ", + "child ren", + "net work", + "Ġpres ents", + "Ġsym pt", + "æĢĿ æĥ³", + "以 ä¸ĭ", + "ĠĠ =", + "inte rest", + "ĠÑģ лÑĥ", + "$ ~", + "è§Ĩ é¢ij", + "p ur", + "}} _{", + "Ġdon ar", + "S ession", + "Ġequ ally", + "ĠX V", + "ĠÑģе ло", + "Ġed ition", + "ing ers", + "Ġz ona", + "e ach", + "ĠPr im", + "om ent", + "ĠW ITH", + "Ġhundred s", + "W indows", + "og a", + "åĬł åħ¥", + "val u", + "Ġmoment um", + "éľ ĩ", + "Ġsitu ations", + "Inst all", + "çª Ĺ", + "ĠWhe ther", + "in ity", + "ynt ax", + "Ġinsp ired", + "c n", + "ĠR od", + "] }", + "ÑĤ ÑĬ", + "atter ing", + "re nder", + "H ash", + "c as", + "eng er", + "ĠN ever", + "Ġno ble", + "Ġcomp r", + "Ġcas ino", + "Ġpro test", + "Ġcapac itor", + "Ġf ib", + "ĠÐľ е", + "Ġc ov", + "æĽ¾ ç»ı", + "s it", + "çļĦ æĸ°", + "gr at", + "E v", + "av ed", + "å° Ĭ", + "ç«ŀ äºī", + "to String", + "id enc", + "Ġco inc", + "Ġt abla", + "* \\", + "ĠVal ley", + "b us", + "ific i", + "pro v", + "' \\", + "arr ant", + "y an", + "é¼ ĵ", + "Ġme re", + "ack et", + "Ġcl imate", + "ĠMin ister", + "pro file", + "ĠSoc orro", + "Par ams", + "ig an", + "èĤ¯ å®ļ", + "b ug", + "ĠL ive", + "Ġne ces", + "Ġm ale", + "åģ ¿", + "Ġp it", + "æķĻ åѦ", + "hand le", + "ir s", + "Ġwebs ites", + "Ġг ла", + "åº Ħ", + "Ġ ),", + "o is", + "Ġevalu ation", + "Ġreal ized", + "ĠLINE AR", + "Ġt iny", + "Ġob res", + "N G", + "ĠFrancis co", + "ĠG B", + "èµ µ", + "ĠÑģÑĤа ва", + "Ġfac ility", + "æľ Ĺ", + "Ġdis appoint", + "ĠF ather", + "Ġmod ules", + "Ġhum ans", + "auss ian", + "Ġd re", + "Ġcomp ens", + "Ñĩ ки", + "Ġc Ãłr", + "èrc it", + "to ols", + "Se cond", + "Ġun ion", + "erv ation", + "Ġп ÑĬÑĤ", + "Ġobserv ation", + "Ġserv ing", + "Ġm unt", + "es ter", + "га ни", + "Ġcreat es", + "p oca", + "dis abled", + "åĶ ±", + "S k", + "Ġeng aged", + "Ex pression", + "K ind", + "H S", + "ĠJe an", + "Ġintegr al", + "D IR", + "Ġwin ning", + "Ġconsider able", + "z ing", + "Ġbu ck", + "P ress", + "Ġart ists", + "Ġb os", + "t ip", + "print ln", + "h over", + "t ion", + "or ne", + "ĠM arc", + "re a", + "åĤ ¨", + "ud i", + "Ġz one", + "ä¸į éĶĻ", + "ne cess", + "ĠL ee", + "Ġcou pling", + "ĠD isc", + "æ¼ «", + "Ġse ed", + "й ки", + "Ġf uel", + "ĠJap an", + "äº ¡", + "åIJĮ åѦ", + "? :", + "Ġ Äį", + "Ġr ising", + "ter a", + "± ä¹IJ", + "Ġsup plies", + "Ġcal m", + "l ar", + "Ġre produ", + "Ġc inc", + "ĠT imes", + "Ġcon scious", + "Ġcour ses", + "åĮº åŁŁ", + "ĉ /*", + "ĠT own", + "ĠUn it", + "ur i", + "per i", + "Ġd ining", + "Ġut ter", + "Ġpay ing", + "Ġj ump", + "Ġinput s", + "Ġag ency", + "Ġseg le", + "qu is", + "åħĪ çĶŁ", + "he art", + "Ġl oud", + "T itle", + "Ġyour s", + "ord ers", + "Ġl unch", + "èģĮ ä¸ļ", + "ag ment", + "ĠW estern", + "ish op", + "Ġlist ening", + "ç¨ĭ 度", + "Ġimplement ed", + "ste in", + "ä¸Ń 央", + "å° ¾", + ". ;", + "ic ular", + "Ġprefer red", + "ò b", + "anc er", + "Ġbehav iour", + "ä¸Ĭ å¸Ĥ", + "è¿Ļ 次", + "Ġt an", + "ol òg", + "Ġqu eries", + "sp ring", + "åĬ³ åĬ¨", + "ap plication", + "Ġsymmet ry", + "Ġп аÑĢ", + "Ġо коло", + "ĠS on", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "Ġm úsica", + "Ġingred ients", + "S i", + "a o", + "up on", + "à Ģ", + "Ġfund amental", + "Ġarch ivo", + "Ġf ails", + "Ġav ail", + "Ġinc ident", + "Ġre ject", + "Ġd ens", + "çĻ Į", + "Ġafter wards", + "Ġco vers", + "Ġpr inciples", + "Ġh ate", + "Ġcon clusion", + "ĠR un", + "æĬ ±", + "Ġcorrespond s", + "åĶ ¯", + "Ġpar ams", + "Ġm oon", + "Ġten en", + "Ġcol le", + "åѦ éĻ¢", + "Do es", + "å¹ ¼", + "Ġ$ $", + "ĠB it", + "ĠD id", + "ĠE p", + "Ġbird s", + "Ġrecord ed", + "ĠBe ach", + "Ġb odies", + "pan el", + "in v", + "ĠJose ph", + "f all", + "Col lection", + "Ġt ast", + "ĠD O", + "gy pt", + "D ownload", + "д ÑĬл", + "ĠÐIJ н", + "Ġcon ve", + "ce ive", + "z o", + "Ġestim ates", + "ĠF ood", + "Ġass igned", + "Ġmin i", + "e lect", + "), \\", + "F R", + "ĠAr c", + "è¡ ¡", + "çIJĨ 解", + "ĠL ink", + "ĠSh ould", + "A h", + "é» ĺ", + "ĠR os", + "F E", + "ex ist", + "Ġprogram a", + "æĸ¹ æ¡Ī", + "B i", + "Ġmax im", + "Ġper ÃŃ", + "ĠH im", + "des ktop", + "F ound", + "å· §", + "Ġ\\ (", + "ĠL ittle", + "her it", + "ism o", + "Ġwat ched", + "æ¡ £", + "rou s", + "Ġstat ements", + "Ġsuggest ions", + "or ney", + "ĠW omen", + "æŃ£ å¼ı", + "Ġtrav és", + "Ġse le", + "mys ql", + "б ÑĢа", + "ject ive", + "Ġem ission", + "ĠC ond", + "Ġadd s", + "enc ing", + "import ant", + "Ġv ot", + "ĠС и", + "Ġc ual", + "è· ³", + "og rap", + "com ment", + "èĦ Ĥ", + "j i", + "Ġleaders hip", + "t ake", + "Ġt ears", + "at i", + "Act ivity", + "çļĦ æŶéĹ´", + "Im pl", + "Ġshould n", + "å© Ĩ", + "Ex ec", + "ĠRes ult", + "Oper ation", + "Ġver ify", + "Ġs ync", + "Ġ ¿", + "Ġp ill", + "Ġcar acter", + "Ġex emple", + "Ġ outer", + "Ġleg s", + "Ñĥ ва", + "ĠTechn ology", + "Ġext ensive", + "ж ен", + "Ġpath s", + "Ġinter act", + "ĠD istrict", + "æĪ ª", + "Ġmiss ed", + "Ġвой на", + "ĠC la", + "й н", + "FI LE", + "Ġfin est", + "ĠLib rary", + "! )", + "Ġsus pect", + "Ġdetect ed", + "ĠСо ÑĦиÑı", + "Ġмо же", + ". *", + "Ġter rible", + "缮 çļĦ", + "f lu", + "Arg ument", + "åĽ¢ éĺŁ", + "Ġconsequ ence", + "в ÑĢо", + "Ġmost ra", + "ĠС лед", + "arch ar", + "ra ined", + "Ġn iv", + "ĠÑĥ ни", + "ĠE U", + "Ġorig inally", + "ĠPrem i", + "D ialog", + "ĠIm age", + "Ġrepe at", + "ĠP ot", + "Ġbas ically", + "Int eger", + "ĠGe org", + "g res", + "Ġtrans ist", + "Ġgraph ics", + "æģ ©", + "lÃŃ mp", + "æĬ ¢", + "Ġob ra", + "ĠAnt on", + "а ли", + "Ġrapid ly", + "Ġab stract", + "对 æĸ¹", + "ĠD om", + "ow ed", + "ĠS em", + "form s", + "As ync", + "at hered", + "æݨ åĬ¨", + "li ament", + "å² Ĺ", + "ĠEx ception", + "Ġarbit rary", + "пи Ñģ", + "le ments", + "v ideo", + "Ġno va", + "ĠL ocal", + "Ġbre ast", + "ut ter", + "Ġbed room", + "' _", + "v als", + "b ury", + "б оÑĢ", + "åķĨ ä¸ļ", + "Ġh ill", + "Ve geu", + "Al though", + "F ind", + "Ġcr ime", + "Ġnumer ical", + "ĠP ython", + "ĠR ight", + "ref ox", + "Ġdirect ed", + "br ace", + "D el", + "A ng", + "ĠM B", + "Ġobject ive", + "Ġdire ctions", + "IV E", + "å®ĥ çļĦ", + "er ry", + "Ġmol ts", + "rib ed", + "Ġpres c", + "Ġent ity", + "Ġcin ema", + "Ġaddress es", + "Ġto d", + "Ġrem em", + "Ġstat istics", + "Ġdescrib es", + "Ġd ict", + "% .", + "ĠAb out", + "Ġit al", + "ĠJ ord", + "u its", + "Al t", + "ĠJohn son", + "ier o", + "Ġbre aking", + "ars er", + "ĠC OM", + "ĠN ord", + "lem anya", + "ĠLe ague", + "ĠRuss ian", + "ĠOr gan", + "ä¼ĺ ç§Ģ", + "æľĢ è¿ij", + "Ġintegr ated", + "ĠB O", + "ми на", + "Ġalg orithms", + "ĠF lo", + "Ġм аÑĢ", + "ĠÐĺ з", + "Ġout door", + "u ction", + "Ġcor rupt", + "inter face", + "ĠGl obal", + "d ict", + "åĢ¼ å¾Ĺ", + "Ġadministr ation", + "ä»ĸ们 çļĦ", + "Ġsatisf ies", + "und ial", + "S U", + "ç½ ļ", + "P P", + "Ġcol on", + "ym pt", + "èĤ Ŀ", + "D id", + "Ġelectron ic", + "ÑĨи он", + "åĪ¶ éĢł", + "Ġbr anc", + "çĦ¶ èĢĮ", + "ĠIt alian", + "p icture", + "ĠAg ain", + "Ġqu ote", + "Ġpurch ased", + "ĠM arg", + "åĬĽ éĩı", + "w edge", + "Ġtrad ing", + "on ical", + "书 è®°", + "ĠN Y", + "åį« çĶŁ", + "åĽ¾ çīĩ", + "ĠI re", + "ĠF ou", + "ĠM ajor", + "field s", + "Ġdel icious", + "Ġsuff er", + "b ad", + "ort ed", + "Ġch ose", + "Ġfund ing", + "è ª", + "ло в", + "s ince", + "Ġin equ", + "Ġcur ious", + "ty pes", + "Read er", + "Ġcaus ing", + "gr id", + "Ġadv oc", + "Ġsub mit", + "ÑĦ е", + "Ġsh oes", + "çĤ Ĵ", + "Ġcoordin ates", + "ĠL ead", + "ch ain", + "ĠC opy", + "ä¿ĥ è¿Ľ", + "Ġhistor ical", + "h s", + "E ven", + "ĠF ar", + "ĠL ie", + "è£ ģ", + "æ³ °", + "ag r", + "L ike", + "COL OR", + "as er", + "Ġunivers al", + "Ġrob ust", + "ul f", + "Ġcut ting", + "lo om", + "Ġpass age", + "Ġcap tain", + "å¹´ æĿ¥", + "åĬŀ æ³ķ", + "Sche ma", + "æĪIJ éķ¿", + "ĠM O", + "Ġsil ent", + "ig s", + "Ġsens itive", + "big g", + "frame work", + "Ġw et", + "ĠB ad", + "ĠJ oe", + "ĠT oday", + "d river", + "Ġperman ent", + "Ġas c", + "est y", + "Ġin valid", + "V M", + "ac her", + "åĪ ¸", + "Ġinfin ite", + "Ġrequest ed", + "çļĦäºĭ æĥħ", + "Ġrepl acement", + "Ġcandid ates", + "Ġdef ect", + "ĠB oston", + "ĠMy SQL", + "ç¯ ĩ", + "ĠSe lect", + "il ation", + "çĶ ľ", + "ĠS at", + "ĠÐĶ о", + "æĦı è¯Ĩ", + "ĠHot el", + "éĿ¢ 积", + "å·¥ ä¸ļ", + "Ġal leg", + "社 åĮº", + "Par ameters", + "Ġdest ac", + "ĠJ ocs", + "Ġespèc ie", + "Ġconc erning", + "ĠI ll", + "çĦ ¦", + "åĪ ·", + "Ġunivers ity", + "Ġsp atial", + "åī Ĥ", + "Ġfut bol", + "ĠUp date", + "Ġatt ach", + "P an", + "Ġmod ify", + "æĶ¯ ä»ĺ", + "b orn", + "ä¼ Ł", + "w he", + "D L", + "ĠI C", + "è° ·", + "Ġmod er", + "Ġcont ributions", + "Ġid i", + "ual ment", + "Ġbg color", + "Ġstre ets", + "Ġa th", + "Ġmist ake", + "Ġconduct ed", + "Ġfr ances", + "| $", + "em ed", + "Ġth rown", + "Ġd ump", + "h ar", + "вÑĬÑĢ ÑĪ", + "Ġinc hes", + "Ġempres a", + "v in", + "Ġfl u", + "Ġattack s", + "ç¡® å®ļ", + "Ġprec ise", + "Ġmor ir", + "æģ ĭ", + "oll ary", + "PE CT", + "Hand le", + "Ġsign ature", + "Ġag es", + "Ġsim ulations", + "plug ins", + "} &", + "el ve", + "Ġде й", + "c am", + "满 足", + "medi ate", + "ĠSt ore", + "Ġest ar", + "Ġch apter", + "ĠS n", + "Ġinform ed", + "ĠS P", + "Ġrel ief", + "çĽ IJ", + "á ĥ", + "Ġa ra", + "ann a", + "ĠMed ic", + "Ġann ounce", + "Ġal ter", + "ĠS earch", + "女 æĢ§", + "Ġenvironment al", + "Ġcont rolled", + "Ġdeb ug", + "Ġspec ify", + "Ġfe es", + "ost er", + "Ġaw ait", + "ac ious", + "Ġveg ada", + "æĹ ¦", + "ĠI O", + "cl am", + "о ÑĤ", + "ov ing", + "ĠN av", + "d ouble", + "* (", + "u ous", + "ne x", + "ack ing", + "Ġent hus", + "主 ä¹ī", + "anc he", + "åħħ åĪĨ", + "Ġwh is", + "Ġsurround ing", + "D M", + "Ġre new", + "Ġk iss", + "Ġpull ed", + "Ġmount ed", + "Ġal ive", + "ab eth", + "red it", + "pl us", + "el come", + "roll ing", + "èħ ¾", + "ĠV ill", + "CH AR", + "Ġliqu id", + "Ġcom un", + "é«ĺ çļĦ", + "ig ate", + "In s", + "P arent", + "look ing", + "à ¢", + "Ġun us", + "Ġob t", + "Ġship ping", + ". :", + "dom ain", + "ĠH y", + "ä¼ļ æľī", + "Ġincor rect", + "l ittle", + "ĠĠĠĠ |", + "Ġfight ing", + "åŁº éĩij", + "l ad", + "_{ {\\", + "let on", + "ĠO k", + "ĠYou ng", + "f ix", + "Ġlist a", + "Ġre verse", + "low er", + "d ig", + "Ġi OS", + "ĠAss ert", + "ä½ĵ ç³»", + "itz a", + "br id", + "èĤ ł", + "Ġiss ued", + "Ġcho osing", + "p kg", + "t i", + "dis k", + "Ġs aving", + "Ġ riv", + "tr l", + "Ġsem i", + "b ecause", + "Ġv it", + "Ġso il", + "\" @", + "ast ructure", + "Ġsc reens", + "å¾Ģ å¾Ģ", + "ol i", + "ov es", + "Ġde com", + "Ġdef e", + "å¥ ĭ", + "ane ous", + "Ġadult s", + "Ġg az", + "Ġbur st", + "说 æĺİ", + "ĠÑĨ ен", + "Ġgentle man", + "è¯ģ æĺİ", + "iz on", + "åĪ¶ 度", + "м ÑĬ", + "Ġб ÑĬ", + "ĠSpr ing", + "Post ed", + "Ġstrong er", + "ĠInd ex", + "ĠÐĽ и", + "Ġrecogn ize", + "Ġ »", + "pl ot", + "ĠÐļ и", + "ли Ñīе", + "æĢ» æĺ¯", + "ĠC art", + "Ġcontrol s", + "Ġch art", + "Ġ ÑĤи", + "ç¥ ĸ", + "ĠÐľ о", + "ric te", + "åĪĽ ä¸ļ", + "ul ating", + "itud es", + "éĻį ä½İ", + "Ġabs ence", + "Ġh int", + "reg ular", + "Ð £", + "ĠC ross", + "ial ize", + "Ġw ww", + "Ġele ction", + "Ġtalk ed", + "Ġinvol ve", + "Ġc ul", + "Î ¹", + "Ġang les", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠ", + "Ġmass es", + "D ir", + "Ġfind s", + "CRE ATE", + "rem ark", + "ĠG ra", + "}} (\\", + "æ¹ ¾", + "g re", + "ĠE nc", + "Ġim pl", + "де ÑĤо", + "Ġm ob", + "b ec", + "åĩł 个", + "Ġinter actions", + "Ex p", + "n n", + "Ġsubject s", + "ig ible", + "Ġvis ited", + "ĠC R", + "######## ########", + "M iss", + "ĠPer haps", + "V ari", + "æĬ ½", + "St ack", + "éģ¿ åħį", + "; -", + "Ġt ired", + "ĠAut hor", + "Ãł l", + "ain ing", + "ç»ĵ æĿŁ", + "é£Ł åĵģ", + "ĠL atin", + "ĠH uman", + "æĪĺ çķ¥", + "Ġv ig", + "? )", + "p aper", + "га ÑĤ", + "w l", + "Ġmov es", + "\"../../../../ ../../", + "n ed", + "S M", + "å½ »", + "j query", + "ĠJ ones", + "Dis play", + "Ġin act", + "ĠF air", + "ax is", + "ffic ients", + "Ġsh adow", + "Ġgr ade", + "ç»ı åİĨ", + "交 æµģ", + "um my", + "Ġconeg ut", + "Ġdiv ided", + "Ġw ise", + "大 å¤ļ", + "Ġencour age", + "equ als", + "Ġref ers", + "mon th", + "Ġessential ly", + "ĠH on", + "ĠÑĢаз ли", + "ĠSt at", + "æ£ ®", + ": /", + "ĠCon nect", + "Ġd raft", + "ä¸Ģ åĪĩ", + "Ġper m", + "ĠPr ince", + "Ãłt ica", + "f ather", + "Ġsupport ing", + "Ġgo ogle", + "Rec ord", + "Ġsp oken", + "Ġdef end", + "ĠпÑĢе ди", + "è§Ħ åĪĴ", + "Ġcons umer", + "man ager", + "éĴĪ 对", + "F lo", + "} %", + "ĠIt aly", + "åĩ ¡", + "j or", + "е ни", + "ÑģÑĤо Ñı", + "è ixer", + "Ġоб лаÑģÑĤ", + "å¿« éĢŁ", + "as m", + "Ġcorre lation", + "èĩª åĬ¨", + "èĪ ¹", + "Ġs ake", + "r g", + "Ġap pend", + "Ġadopt ed", + "Ġsold iers", + "Ġconstruct ed", + "osp it", + "Ġsup ort", + "Ġt ensor", + "¹ ģ", + "ug hed", + "com put", + "## #", + "éŁ³ ä¹IJ", + "Ġcomm ission", + "D om", + "åĨľ æĿij", + "Ġan gl", + "Ġobvious ly", + "åĩ ī", + "d ates", + "Ġtr ig", + "Ġb is", + "E Y", + "Ġevery where", + "Ġsp an", + "EX T", + "a wn", + "ĠAmer icans", + "ĠAquest a", + "Ġacadem ic", + "çļĦ åľ°æĸ¹", + "f n", + "Ġsome how", + "Ġe con", + "Ġtherm al", + "om atic", + "Ġatmosp here", + "Ġsex ual", + "pro b", + "ĠO ffic", + "IN D", + "ow nt", + "Ġcomple ment", + "Result s", + "Ġprof it", + "æ¬ ²", + "ĠĠĠ <", + "\\! \\!", + "Ġfall ing", + "äºĨ ä¸Ģ个", + "x ford", + "Ġinst ruct", + "Ġle ct", + "ÑĤ ÑĢи", + "enn y", + "Ġnames pace", + "t oggle", + "Ġf inger", + "Ġref erences", + "èĭ± éĽĦ", + "Ġd ates", + "Ġfore ver", + "Ġdom estic", + "Ġbath room", + "ĠF A", + "е ма", + "Ġa de", + "ï sos", + "T L", + "å¿ Ĩ", + "iv ament", + "Ġc odes", + "Ġо ÑģÑĤа", + "Def inition", + "Ġpued e", + "i ams", + "ĉ @", + "ĠPart y", + "èµ ŀ", + "Ġcarry ing", + "Ġnew ly", + "ĠPar ÃŃs", + "ç Ĵ", + "Ġregular ly", + "Ġconf irmed", + "Ġreve aled", + "m ove", + "åĦ¿ åŃIJ", + "I con", + "æ¯ķ ä¸ļ", + "Ġstrugg le", + "Ġj ur", + "c ategory", + "ĠÐij а", + "Ġto ler", + "Ġsum mary", + "Ġmy sql", + "ĠL E", + "ĠÑģе мей", + "if er", + "Ġse arc", + "Ġcheck ing", + "d one", + "Ġall oc", + "Ñı ÑĤа", + "Ï Ħ", + "m argin", + "Ġcorpor ate", + "Ġnew sp", + "Ġpresent ation", + "Ġfol ks", + "ĠInd ust", + "Ġst ir", + "Ġwid ely", + "ĠB G", + "Ġintegr ation", + "es ides", + "i pt", + "ĠÑģ ÑĢед", + "人 çĶŁ", + "Ġres on", + "Ġl ying", + "ä¸į 好", + "Ġspect ral", + "Ġvert ices", + "at ers", + "Ġpub lish", + "bl og", + "Ġappro ved", + "ĠAfr ican", + "Ġread s", + "Ġde als", + "ynam ic", + "rar ies", + "Ġcomplic ated", + "Hel per", + "ear ing", + "Ġassum ing", + "on er", + "Ġocc as", + "H er", + "ador a", + "éĩĮ éĿ¢", + "Ġdepend ent", + "Ġper missions", + "Ġben e", + "ĠI de", + "å½ĵ åľ°", + "Ġre ar", + "s da", + "Ġinequ ality", + "Ġlad ies", + "Ġoptim ization", + "Ġsl ot", + "ÑĢа к", + "Ġtop ics", + "RE S", + "æł¹ æľ¬", + "Ġgalax ies", + "Ġlo ves", + "r ices", + "Ġcomput ed", + "umn es", + ". ).", + "E sc", + "Ġd uration", + "ä¼ Ĭ", + "ĠÑ Ŀ", + "Ġprint ed", + "Ġact ing", + "al so", + "ĠPro position", + "Ġsim ult", + "Ġuns igned", + "Ġest an", + "Ġa ugment", + "op ed", + "ĠH om", + "ĠO ption", + "ĠC L", + "ĠB oot", + "ĠW in", + "s en", + "Ġsw it", + "å¦ ¹", + "Ġprom ote", + "p ite", + "ĠS us", + "Ab out", + "Ġal arm", + "Ġperform ing", + "æ² Ł", + "Ġst ability", + "ĠG reek", + "å¡ Ķ", + "ä»» åĬ¡", + "Ġj ew", + "во д", + "Ġsup pl", + "æĦı ä¹ī", + "Ġp ocket", + ") {\\", + "ç ¹ģ", + "ĠN on", + "Ġco al", + "åĪ ij", + "text sc", + "enc ió", + "ĠL y", + "ĠFit xa", + "Ġtreball ar", + "D oc", + "De cl", + "æĮĩ 导", + "ĠJO IN", + "æļ Ĺ", + "Ġofficial s", + "æĬ¥ åijĬ", + "ĠW H", + "ÑĤа ÑĤа", + "or ous", + "åıij åĬ¨", + "Ġc ord", + "åijĺ å·¥", + "ĠJ eff", + "ay lor", + "Ġvisit ing", + "Ġresol ved", + "Ġunder lying", + "Ġown ed", + "Ġi i", + "è¯ º", + "è´ ¦", + "ĠS av", + "ä¸Ģ å¹´", + "am ely", + "rad ius", + "æ¯ı 个", + "ĠB at", + "æݪ æĸ½", + "åĩł ä¹İ", + "Ġb anks", + "u y", + "ĠÐĿ о", + "Ġn urs", + "ĠC urrent", + "og ene", + "ain e", + "a ul", + "Ġser vers", + "ĠOr ig", + "æľĢ 好", + "S Y", + "ĠJap anese", + "Ġse vere", + "y ard", + "Ġconnect ing", + "by te", + "Ġaccess ible", + "s ave", + "ĠR AM", + "èr ica", + "Ġdef ense", + "ond a", + "Ġb le", + "Ġlow est", + ")) )", + "Ġn ic", + "L Y", + "Ġm ás", + "ä¹Ł åı¯ä»¥", + "Ġn i", + "g eneral", + "ж ки", + "ĠS H", + "ĠS ometimes", + "Ġd ol", + "AR D", + "Ġl li", + "connect ed", + "id i", + "Ġus b", + "Ġyield s", + "ĠR og", + "认 è¯Ĩ", + "æĺİ ç¡®", + "ĠP ere", + "å¢ Ļ", + "Ġcost at", + "ick et", + "] ]", + "Ġpare lles", + "Ġapplic able", + "ĠкÑĢа й", + "omorph ism", + "St orage", + "æĪIJ ç«ĭ", + "Ġt ough", + "ac les", + "Cl oud", + "ĠE ND", + "åľ £", + "Con nect", + "å¾® ä¿¡", + "B ecause", + "Ġco oper", + "Ġp ant", + "u cl", + "s ay", + "Ġв ÑĬÑĢ", + "ĠÑĤ ÑĢи", + "Ġevalu ate", + "èĢ IJ", + "è´ ¸", + "clos ed", + "Ġsh ares", + "ob r", + "ĠInd eed", + "Ġtra il", + "Ġим пе", + "Ġplant a", + "计 ç®Ĺ", + "et ies", + "ic io", + "Net work", + "p resent", + "æµ ĵ", + "Ġp ounds", + "am il", + "Ġcur ves", + "! '", + "Ġindic ated", + "T V", + "ĠCom mand", + "пÑĢа в", + "F ree", + "de velop", + "зи ÑĢа", + "h al", + "Ġlabel s", + "ult y", + "å¼Ģ æĶ¾", + "F alse", + "c ert", + "å½¢ å¼ı", + "èĤ º", + "ĠÐĶ ж", + "èĥ İ", + "Ñĩа ÑģÑĤи", + "ĠS C", + "[ -", + "as a", + "Ġar ts", + "as se", + "ÅĻ ÃŃ", + "ĠÑģÑĬ зда", + "Ġp atch", + "HE CK", + "pro tect", + "ĠP A", + "Ġl anguages", + "ÑĥÑĤ бо", + "rip ció", + "for all", + "Ġdifferent ial", + "Lay er", + "åIJ Ľ", + "bul let", + "ä¸ĭ éĻį", + "Ġac id", + "ĠVirgin ia", + "Ġdef ens", + "st o", + "èĴ Ļ", + "Ġexc it", + "éĹ Ń", + "lect ual", + "Ġwe aring", + "Ġs yn", + "on ia", + "Ġfact ory", + "ĠÑħ о", + "çİ© 家", + "ĠÐĿ е", + "G reat", + "& #", + "åĪĨ 享", + "人 æīį", + "Ġclass ification", + "Ãł ries", + "Ġgu id", + "Ġtrans lation", + "Ġbul k", + "Ġprior ity", + "H ol", + "Ġcomprehens ive", + "çĵ ľ", + "UN T", + "Î ½", + "Ġseg ona", + "Ġrequire ment", + "Ġbes ide", + "èIJ¥ åħ»", + "га ÑĤо", + "cm d", + "ĠTh rough", + "sub subsection", + "å®ŀ åĬĽ", + "ĠE gypt", + "get Element", + "ĠIn n", + "it ivity", + "Ñĥ ÑĢа", + "Ġpr ide", + "ĠRep ública", + "ĠUn a", + "Ġsol es", + "Ġconvert ir", + "èģĶ åIJĪ", + "Ġspirit ual", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "éĩįè¦ģ çļĦ", + "Ġth irty", + "çĩ ĥ", + "ĠB ul", + "æ´ ¥", + "è¾ ħ", + "èĦ ī", + "Ġprec isely", + "Ġpriv acy", + "ä¸Ģ 天", + "plic ity", + "st ra", + "ch ant", + "ential s", + "F ull", + "ĠдÑĢÑĥ ги", + "Ġoper ate", + "Ġmag ic", + "ĠRuss ia", + "l ot", + "ĠJ os", + "p ot", + "åĩ Ń", + "ier arch", + "Ġ|| ĠĠ|", + "ul ator", + "Ġcomplex ity", + "Ġb rit", + "G eneral", + "Ġlos ing", + "t or", + "Ġc ow", + "å¿ĥ çļĦ", + "Ġremov ing", + "èµĦ 产", + "Ġengine ering", + "Ġemerg ency", + "ç» ª", + "ĠL ow", + "Ġm ile", + "æķ ı", + "Ġg est", + "ĠT ele", + "Ġcar bon", + "Ġbound s", + "s at", + "ĠT urn", + "Ãł g", + "к ва", + "Ġtrans mission", + "ĠAl t", + "ä¹ ³", + "åij Ī", + "Ġsub s", + "Ġsufficient ly", + "b d", + "Ġch ap", + "ri ent", + "æ¢ ħ", + "åĪ Ģ", + "ess ages", + "Ġm ock", + "Ġdisc ipl", + "pt on", + "Ġsure ly", + "Ġident ical", + "åĽł ç´ł", + "Ġb é", + "Ġt ap", + "x it", + "Ġdist ributions", + "æĺ¯ä¸Ģ ç§į", + "éĢŁ 度", + "og en", + "æł· çļĦ", + "Ġinvest igation", + "Ġlaun ched", + "col on", + "ĠR ose", + "H igh", + "v s", + "Ġvict ory", + ". ),", + "ap os", + "ro d", + "Ġ{ };", + "è¿ ħ", + "n umer", + "Ġcharacter istics", + "ке до", + "Fe ature", + "B as", + "the se", + "åį³ 使", + "Ġign ore", + "ĠB ible", + "æĶ¿ æ²»", + "P tr", + "Ġr ating", + "æ½ ľ", + "д ÑĢи", + "Ġdeal ing", + "b n", + "ch ing", + "ĠH ope", + "èħ °", + "Ġre venue", + "Ġp ump", + "Ġs essions", + "N C", + "èį IJ", + "ĠL td", + "pe red", + "ÑĤа н", + "éĺ »", + "Ġantic ip", + "ĠL i", + "Ġcalcul ation", + "Ġyoung er", + "( :", + "ĠE sc", + "Ġpark ing", + "ĠV irtual", + "con nection", + "Ġut ility", + "ÑĤо ÑĢи", + "ĠIN TO", + "èİ «", + "Ġжи во", + "ä¸į 管", + "ĠÐł е", + "ann y", + "LO G", + "ĠB ell", + "Ġex claimed", + "Ġmitj Ãł", + "ob ra", + "b ash", + "Ġд ÑĬ", + "_{ -", + "èµ ¢", + "Ġswitch ing", + "clus ions", + "onym ous", + "h u", + "D I", + "Ġпо лиÑĤи", + "ĠS ource", + "Ġv ice", + "P al", + "Ġla ughed", + "d ays", + "çij ŀ", + "Ġhapp iness", + "ĠТ а", + "ro gen", + "ĠMark et", + "Ġnucle ar", + "form ed", + "B ody", + "ä¸ ¹", + "Ġmar ks", + "Ġopt ical", + "Ñ ĭ", + "F ROM", + "éª Ĺ", + "Ġcon version", + "æĬ µ", + "ĠP HP", + "iz abeth", + "ion e", + "è¯ ¸", + "Ġemploy ee", + "Ġp ulse", + "до б", + "ri ure", + "Ġhe ll", + "Ġun to", + "new command", + "ĠWe ek", + "Dat abase", + "Ġ ÑĢи", + "hip s", + "Ġc el", + "D raw", + "Ġtick ets", + "ĠSt ill", + "Or ig", + "Ch rist", + "de ven", + "V ector", + "åıij æĮ¥", + "ed ly", + "if iers", + "Ġseg on", + "Ġsuff ering", + "ph ant", + "ĠN ight", + "Ġy ards", + "Ġ rib", + "Ġfac ing", + "or able", + "Ġam er", + "Ġf ur", + "åĦ¿ ç«¥", + "Ġd ot", + "Ġsympt oms", + "Ġk ick", + "Ar gs", + "Ġsol ved", + "Ġoption al", + "D i", + "ĠA h", + "Ġop ens", + "r ick", + "p adding", + "xi ety", + "è¿ĺ è¦ģ", + "ĠB and", + "Ġdiv ision", + "Ġp ins", + "ment e", + "ater n", + "ä¿ Ĺ", + "Ġ} \\", + "KE Y", + "Ġreturn ing", + "Ġprob able", + "Ġf its", + "Ġar rive", + "Ġact or", + "æ® ĭ", + "Ġscal ar", + "Ñĩ иÑĤел", + "ĠF el", + "item s", + "Ġex ha", + "ĠR en", + "Ġth ro", + "ĠÐ ¯", + "ĠB lu", + "主 é¢ĺ", + "sup er", + "Ġan terior", + "Ġche ese", + "缸 对", + "P obl", + "веÑĢ ÑģиÑĤе", + "Ġany more", + "ĠA LL", + "Ġc ub", + "Ġcharacter istic", + "v irtual", + "Ġcatal og", + "ä¸Ģ ä½į", + "ord inary", + "er k", + "arg o", + "èħ ¹", + "Ġs ought", + "ĠS ab", + "ĠAcc ount", + "Ġcount y", + "Ġspeak ers", + "符 åIJĪ", + "åıĺ å¾Ĺ", + "Ġsh ower", + "Ġcre w", + "Ġc ake", + "èĨ ľ", + "T emplate", + "Ġw allet", + "Ġна Ñĩа", + "ak a", + "Ġap plies", + "Ġe ager", + "ĠAngel es", + "æij Ĩ", + "Ġim pression", + "ĠAd ministr", + "I ter", + "æī «", + "Ġde but", + "Ġappreci ated", + "ĠкÑĬ деÑĤо", + "çģ ¾", + "Ġcont ribute", + "Ġbene ath", + "Val ues", + "Ġconflic t", + "' ];", + "ult ural", + "Ġtro ops", + "T otal", + "W idget", + "Ġche cks", + "Ġre bre", + "æľĢ 大çļĦ", + "çī¹ èī²", + "Ġtechn ologies", + "ĠB a", + "ac ció", + "ch or", + "Ġun iverse", + "Ġintrodu ction", + "Act ive", + "b ow", + "Ġcon clude", + "ĠCont act", + "Ġindu ced", + "Ġin line", + "in ction", + "Ðij и", + "Ġp ir", + "Ġneg ot", + "Ġge ometry", + "Ġprogram ming", + "åħ¬ å®ī", + "åºĶ å½ĵ", + "Ġappe al", + "çı ł", + "T ab", + "Ġcoe fficients", + "Ġad mit", + "Ġp ale", + "çİ° 象", + "ĠMed ical", + "an z", + "Ġtro b", + "ain ts", + "ĠOb ama", + "Ġperson a", + "Ġde leg", + "Ġap pl", + "on ce", + "if old", + "Ġviv int", + "Ġcru cial", + "æ¯ķ ç«Ł", + "åį ·", + "ĠAr ab", + "åĨį 次", + "iff erent", + "id or", + "Ġdes ert", + "________ ________", + "èIJ½ å®ŀ", + "Ġf is", + "Ġprov en", + "Ġd uplic", + "Ġm apping", + "f ly", + "Ġproced ures", + "Dele te", + "Ġmov ies", + "å°± èĥ½", + "S ION", + "S R", + "ĠCom ple", + "å¦Ĥæŀľ ä½ł", + "ĉ case", + "i ro", + "ĠC up", + "éĹ ²", + "Ġtorn ar", + "Ġbox es", + "ĠR ay", + "åħ¬ éĩĮ", + "less ly", + "Ġgr ay", + "I LL", + "ĠM ic", + "arg ument", + "og y", + "U ST", + "iz z", + "itz at", + "Ġf ond", + "лÑı ва", + "ul iar", + "ÑĨа ÑĤа", + "Ġrot ation", + "Ġcap abilities", + "Ġserious ly", + "å¿ĥ çIJĨ", + "ro se", + "all oc", + "åŃIJ çļĦ", + "è´ Ŀ", + "ĠDan iel", + "ĠA D", + "ĠÐĵ е", + "æľī çĿĢ", + "æĢ ª", + "Ġform ul", + "缸 å½ĵ", + "(' #", + ") }(", + "Ġhand ling", + "Ġза па", + "ch anged", + "Ġrestaur ants", + "Ġpl anned", + "de cl", + "is dom", + "m other", + "m ust", + "cont inu", + "foot er", + "ĠperÃŃ ode", + "åĪĽ éĢł", + "åĺ ī", + "æѤ å¤ĸ", + "Ġdriv es", + "R et", + "ĠM id", + "Ġviol ence", + "Ġshould er", + "Ġint ention", + "Ġcook ing", + "P ATH", + "end or", + "Ġb ias", + "un ct", + "о ве", + "Ġst yles", + "де на", + "s ort", + "ĠK EY", + "ul ing", + "è¿ ¹", + "æĪ ´", + "flo or", + "S pe", + "E q", + "ĠW alk", + "ĠCons ider", + "Foot note", + "ĠV M", + "èĻ İ", + "D isc", + "d id", + "éĥ½ åľ¨", + "ĠJ on", + "__ (", + "Ġtempor ary", + "m aterial", + "od ge", + "Ġse es", + "Ġpert urb", + "ä¾Ŀ çĦ¶", + "ä¸Ĭ äºĨ", + "ere st", + "Ġf ot", + "l as", + "éģĵ è·¯", + "èģ Ĭ", + "не ние", + "Con f", + "Ġn od", + "Ġkn ock", + "èµ ı", + "Ġalt re", + "Ġmateix a", + "Ġpros pect", + "å¿« ä¹IJ", + "Ġc er", + "Pol icy", + "ĠC i", + "Ġrepresent ing", + "Ġchalleng ing", + "ĠGu ide", + "ĠP ed", + "ĠFurther more", + "fol io", + "Ġus uario", + "Ġcalcul ations", + "iz able", + "I ES", + "H ome", + "Ġst im", + "Ġelectr ical", + "ĠC ook", + "Ġt ong", + "let ter", + "ĠL TS", + ", .", + "um a", + "ag ues", + "ĠV ideo", + "f act", + "as tern", + "Ġt um", + "éģĩ åĪ°", + "ĠÐĽ Ñĥ", + "n el", + "ĠEx per", + "ĠB ow", + "èĩª 身", + "Ġcas o", + "Ġhop es", + ") ?", + "J ECT", + "Ġden otes", + "Ġorgan ized", + "D uring", + "ĠSp irit", + "çļĦ åıijå±ķ", + "Ġpart it", + "æĬĢ èĥ½", + "çĪ± æĥħ", + "a ug", + "u en", + "u ent", + "ig e", + "Ġ< =", + "Ġload ing", + "Ġstr ings", + "åı ¬", + "åŁ¹ åħ»", + "æĥ³ åĪ°", + "Ġperson ally", + "uc ks", + "iss ions", + "ĠM ah", + "ди ÑĤе", + "ä¾ µ", + "W he", + "æĻ ĵ", + "å§ ĵ", + "ĠIre land", + "ob serv", + "aj ax", + "ed ing", + ") ).", + "ĠM achine", + "u um", + "m c", + "y y", + "ĠDef ault", + "Ġp our", + "çĥ ¦", + "é¡ ¿", + "Ġdepend ence", + "Ġinvol ves", + "Go ogle", + "R est", + "ong o", + "ir ms", + "æī £", + "ä¸įåIJĮ çļĦ", + "Ġm s", + "ane ously", + "ĠW as", + "ме ÑĢ", + "Ġtot es", + "è· µ", + "èģ ĺ", + "Ġcou nc", + "Ġpain ting", + "aj e", + "Ġch icken", + "Ġres c", + "Ġob ten", + "åıĮ æĸ¹", + "Ġsh ore", + "Ġj um", + "éģ Ń", + "Ġv ital", + "ol id", + "å®ī æİĴ", + "æ¹ĸ åįĹ", + "ate ful", + "Ġco at", + "Ġmill ions", + "Ġleg isl", + "Ġsm oke", + "è l", + "æĸ° éĹ»", + "ĠB ox", + "P ub", + "AR N", + "r ical", + "ĠF ederal", + "Ġadvent ure", + "os ity", + "è¿ Ķ", + "Ġg ained", + "D els", + "Ġpr in", + "åİ» å¹´", + "ip her", + "да ва", + "Ġexpress ions", + "Ġun expected", + "Ġloc ally", + "enc ia", + "æıIJ åĩº", + "e a", + "æ³ ½", + "è¿IJ èIJ¥", + "Ġcover ing", + "è¾ Ľ", + "ip age", + "Ġcap s", + "Ġd read", + "çľĭ çľĭ", + "ène re", + "Ġnear by", + "ç£ ¨", + "主 ä»»", + "The refore", + "Ġheart s", + "ĠF i", + "æķ ¬", + "Deb ug", + "Ġmount ains", + "ĠB all", + "Ġe ars", + "Ġlog ical", + "ĠHar ry", + "å® ĭ", + "Ġка кÑĤо", + "In valid", + "k w", + "ĠÑģ о", + "al ous", + "con tr", + "Ġafford able", + "èij £", + "æı ´", + "to o", + "Ġsp ons", + "Ġg rey", + "в ÑĢе", + "up le", + "ĠR a", + "th ree", + "in ar", + "Ġw arrant", + "D own", + "Ġt iene", + "sa id", + "Ġbott le", + "æģ IJ", + "it ative", + "Ġang ular", + "Ġcere mon", + "Ġm erg", + "çŃī çŃī", + "Ġconfigure d", + "Ġphot ograph", + "Ġtemper atures", + "Fut bol", + "ĠS ize", + "ĠO lÃŃmp", + "åįĩ 级", + "Ġgold en", + "Ġcont rad", + "comple te", + "Ġcorre l", + "N ULL", + "Ġf est", + "B B", + "J SON", + "è ¹", + "Ġest á", + "Ġн и", + "Ġgr ab", + "Ġbirth day", + "ÑģÑĤа н", + "Ġent ering", + "ĠIn vest", + "% )", + "Ġfl our", + "Nav Bar", + "R oot", + "ĠF a", + "Ġpotential ly", + "\\ _", + "en able", + "Ġfound ation", + "Ġle af", + "ç¡® å®ŀ", + "æĺ ł", + "Ġprov iders", + "Ġcab in", + "En abled", + "Ġarriv al", + "ĠM P", + "Ġmajor ia", + "Ġaconsegu ir", + "qu ia", + "' ))", + "Ġsh out", + "èIJ ¨", + "é² ģ", + "Ġcrim inal", + "Ġwat ers", + "Ġbrill iant", + "æĿ¥ äºĨ", + "ĉ $", + "in at", + "Ġcon eix", + "ĠAs ia", + "以 åīį", + "ä¿ Ħ", + "p are", + "ir l", + "ä¼ ¦", + "èµ ļ", + "主 åĬ¨", + "Ġtrans actions", + "g ame", + "Ġwor ship", + "Ġhop ing", + "Ġp s", + "Ġremark able", + "Ġhous ing", + "ĠOr der", + "Ġregard less", + "Ġf ru", + "qu ar", + "En ter", + "N R", + "Ġs el", + "Ġpred iction", + "od b", + "iss ue", + "Dem ografia", + "Ġemploy ment", + "иÑĤе ÑĢаÑĤ", + "Ġex posed", + "ĠK itt", + "ĠB ed", + "Ġres erved", + "Ġas sembly", + "Ġb asket", + "od a", + "F iles", + ") _", + "Ġprec ision", + "æ® Ĭ", + "æĸĩ æĺİ", + "Ġap artment", + "Ġvari ation", + "Ġex ped", + "x ious", + "ĠÑĥ ÑĩаÑģÑĤ", + "ÑĮ оÑĢ", + "ĠK ore", + "æĬ¥ éģĵ", + "æŁ Ķ", + "Ġadvert ising", + "Ġag greg", + "åIJ¸ å¼ķ", + "Ġb ars", + "( *", + "ik ip", + "Ġtra ject", + "Ġc rown", + "Ġnúmer o", + "Ġle ather", + "Ġneigh b", + "Ġbe am", + "Ġdec ades", + "Ġf ancy", + "Ġneut ral", + "t ik", + "Ġass ets", + "as hes", + "getElement ById", + "Ġgen u", + "ĠI l", + "Ġexecut ed", + "M T", + "ĠW ould", + "B us", + "Ġgu itar", + "Ġ||ĠĠ| |Ġ", + "c ost", + "ĠMex ico", + "ĠA ward", + "Ġeduc ational", + "Ġal cohol", + "å¯ ¸", + "Ġre action", + "ĠC ivil", + "Ġserv es", + "Ġtal ent", + "B I", + "S ing", + "ict ed", + "cond ition", + "P rim", + "d ers", + "Ġк и", + "depend ency", + "per p", + "ä»İ èĢĮ", + "å¡ ŀ", + "ĠF alse", + "t ri", + "Ġcon crete", + "Sup port", + "u z", + "Ġst y", + "ç» ķ", + "ĠÑģ м", + "ĠÐľ аÑĢ", + "åģļ åĪ°", + "亿 亿", + "Ġreg ional", + "Ġwh ilst", + "ÑĢа л", + "ç¾ Ĭ", + "Ġfun ny", + "min ipage", + "aut iful", + "Ġexpert ise", + "Ġmin ister", + "Ġdis p", + "çī© è´¨", + "ĠPl us", + "ific ial", + "Ġcomb at", + "ar ound", + "Ġdepart ament", + "ве ÑģÑĤ", + "Ġpass ar", + "çĪ ·", + "ĠKe ep", + "ĠAcadem y", + ") ),", + "Ġconsum ers", + "Ġc oc", + "Ġtrack s", + "Ġhon our", + "Ġb undle", + "Ġl attice", + "Ġinstit utions", + "Ġsl ave", + "èı Į", + "Ġjav ax", + "âĨ Ĵ", + "Ġdelet ed", + "ĉ private", + "prim ary", + "Ġpo inter", + "ĠJ a", + "pm atrix", + "Ġs ke", + "ĠÐĴ а", + "av our", + "ä¸į 足", + "\": \"", + "Ġper d", + "èĤ¡ 票", + "select ed", + "f our", + "Ġd ial", + "cp p", + "ĠD ou", + "以 为", + "M eta", + "pos ing", + "Ġuncertain ty", + "ä¸į äºĨ", + "Ġap i", + "Ġth inks", + "Ġmult ip", + "Ġa y", + "ĉ// /", + "p red", + "ĠR est", + "Ġmy st", + "Ġp se", + "èĥ½ æºIJ", + "ĠCarol ina", + "è¶ĭ åĬ¿", + "ĠT ri", + "Ġpro hib", + "Ġegg s", + "unicip is", + "Ġd il", + "h idden", + "Ġconf ident", + "arc ely", + "Ġade qu", + "Ġs s", + "Ġf ingers", + "Ġbes ides", + "Ġcor n", + "M D", + "Ġв клÑİ", + "Ġwrit ers", + "l ab", + "$ Ġ$", + "BU G", + "ĠE conom", + "Ġdecre ase", + "çĶ ĺ", + "W riter", + "ĠD VD", + "çı į", + "Ġatt ended", + "Ġcr ack", + "un ta", + "Ġcompet itive", + "Futbol istes", + "anc el", + "m n", + "MA X", + "æݨ èįIJ", + "Ġcl ip", + "Ġsepar ated", + "Ġrad i", + "åŃ Ķ", + "Ġoutput s", + "s ime", + "Ġposs ession", + "ÃŃt ics", + "Ġgr anted", + "ĠФ ÑĢан", + "Ġc ir", + "åĮ» çĶŁ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ $", + "æ¨ ª", + "Ġaddress ed", + "Ġmagn itude", + "Ġret ire", + "Ġaccom pan", + "Ġper mit", + "Ġfrag ment", + "Ġú lt", + "Ġv eter", + "Ġqu art", + "Ġmant en", + "count ry", + "ĠP ut", + "Ġlik es", + "до ве", + "æī¾ åĪ°", + "ag g", + "j u", + "Ġprim ers", + "åĮĸ çļĦ", + "Ġcur sor", + "Ġaquest s", + "not es", + "Ġв Ñģи", + "f c", + "r in", + "Ġche st", + "J ob", + "ĠSp ain", + "r ada", + "享 åıĹ", + "Ġcan cel", + "èĢ Ĺ", + "sime q", + "bet ween", + "Ġfall en", + "pec ially", + "æľ ±", + "Ġmi xture", + "Ġb ind", + "ĠA ction", + "T erm", + "ä¹Ł å°±æĺ¯", + "Ġfunction ality", + "ikip edia", + "- (", + "åĬł ä¸Ĭ", + "ir y", + "ĠProfess or", + "Ġm ic", + "æĶ¾ åľ¨", + "Ġfavour ite", + "Ġt erc", + "ĠDig ital", + "ĠF riend", + "ĠTh ree", + "a C", + "Ġf asc", + "åĽ° éļ¾", + "Ġtrans parent", + "Ġterritor i", + "Ġwrit es", + "Ġlight ing", + "B L", + "ĠC ould", + "ro ph", + "t emp", + "S end", + "ab ling", + "ut ure", + "å¾ IJ", + "it led", + "вÑı ва", + "IT E", + "éĽĨ ä¸Ń", + "ĠĠĠ |", + "Ġjudg ment", + "Id ent", + "å§Ķ åijĺ", + "Ġmedic ine", + "æĻ ¨", + "Ġcommit tee", + "Ġp ipe", + "ĠH as", + " Ń", + "T im", + "Ġtempor ada", + "伤 害", + "Ġво ен", + "Ġfe at", + "æ² ¿", + "ut f", + "ĠM iddle", + "ĠB ol", + "äºĭ å®ŀ", + "å°± åľ¨", + "ed itor", + "ÑĤ ÑĢе", + "Ġb unch", + "ruct ura", + "Ġdes de", + "äº ¦", + "Ġsurg ery", + "Ġll avors", + "æ¢ ģ", + "Ġsatisf action", + "âĦ ¢", + "ÃŃst ica", + "Ġmir ror", + "ĠE nergy", + "Ġas ÃŃ", + "U ES", + "Ġch ocolate", + "æ°¸ è¿ľ", + "çĸ ¼", + "Ġenem ies", + "æģ ¢", + "ĠK now", + "ir able", + "Ġb ike", + "ad ament", + "k ý", + "ĠPr int", + "Ġneg lect", + "Ġconsum ption", + "æĽ ¿", + "FF FF", + "åŃ©åŃIJ çļĦ", + "è°ĥ æŁ¥", + "Ġcompos ition", + "Ġla ke", + "Ġpercent age", + "èĥ ŀ", + "Ġt un", + "Pack age", + "ĠF un", + "ä» ĵ", + "acion es", + "Ġreput ation", + "ÑĬлгаÑĢ Ñģки", + "Ġreg istration", + "ĠÐł а", + "Ġdepend encies", + "ÑģÑĤе н", + "uck y", + "ath an", + "Ġdepend ency", + "bs ite", + "é«ĺ éĢŁ", + "Ġg rep", + "Ġpol ÃŃtica", + "Ġag reg", + "sche ma", + "Ġtro bar", + "Ġr Ãł", + "J an", + "ad i", + "Ġsett led", + "Ex ample", + "anc a", + "ĠS ta", + "Ġconf used", + "Ġrecogn ition", + "Ġro d", + "re ll", + "C ond", + "Ġex clusive", + "æĺ¯ åĽłä¸º", + "A SE", + "ĠK n", + "éĢ Ĵ", + "Ġpol l", + "п ÑĤе", + "Ġgener ator", + "Ġprodu ces", + "çº ¹", + "?? ??", + "ĠIr ish", + "Ġappoint ment", + "/ \"", + "à £", + "Ġп Ñĥ", + "v y", + "ĉ '", + "m ind", + "Ġn ue", + "b est", + "Ġtr im", + "down load", + "Ġmonth ly", + "ap ing", + "UT F", + "}) }", + "Ġguany ar", + "Ġ Ñĩи", + "row se", + "ĠHol y", + "女 åĦ¿", + "T ake", + "Ï ģ", + ",\\ ,", + "Ġm ét", + "Ġtick et", + "Ġsh ips", + "Ġsk ip", + "Ġend e", + "ur ar", + "a igua", + "çĤ ¼", + "um ing", + "â Ī", + "ic l", + "at ar", + "m aking", + "ĠU P", + "Ġsuper f", + ") _{", + "Ġpro xy", + "add r", + "б ÑĢо", + ". -", + "u ate", + "ĠA z", + "ĠC ert", + "ge x", + "ĠH ig", + "Ġclin ical", + "Ġrec urs", + "Ġprote in", + "Ġg olf", + "h l", + "çĬ¯ 罪", + "Ġcour age", + "ç¯ ®", + "å°± è¦ģ", + "Ġdem ocr", + "D T", + "ĠM ike", + "æĦŁ æĥħ", + "Ġcoordin ate", + "Ġw al", + "èĩª çĶ±", + "att ribute", + "å®ĥ 们", + ": --", + "ĠÑģ ÑĤо", + "il itat", + "ĠÐ ĸ", + "Ġlarg ely", + "Ġdes k", + "ĠConf erence", + "çĶ¨ äºİ", + "equ ip", + "b old", + "è ļ", + "éŀ ĭ", + "ÑĬ м", + "ĠTh ough", + "Ġexplicit ly", + "Ġconj unt", + "b ell", + "Ġbr ands", + "Ġa ux", + "Ġsa uce", + "èĢĥ è¯ķ", + "ĠоÑĢ гани", + "Ġi p", + "Ġreg ime", + "åį³ åı¯", + "Ġcrit eria", + "h ire", + "Ġex tr", + "l anguage", + "åĬĽ çļĦ", + "Ġcris is", + "bs erv", + "Ġincred ible", + "æIJŃ éħį", + "ĠÑĦ а", + "Ġacc ord", + "æīĢ è°ĵ", + "ur d", + "Ġn erv", + "Ġche er", + "ĠP O", + "Ġfif ty", + "Ġautom atic", + "t k", + "idel ines", + "缸 æ¯Ķ", + "Ġe fect", + "è´¹ çĶ¨", + "Ġland scape", + "sh ape", + "Ġhol es", + "Ġregard ed", + "ient o", + "ĠP y", + "Ġmanufact uring", + "ви н", + "Met adata", + "ĠPl ace", + "ĠD ar", + "Ġcomput ation", + "ĠE mp", + "ud es", + "Ġstud io", + "ec a", + "Ġpre gn", + "am i", + "åı¦ ä¸Ģ", + "she ll", + "ex ports", + "Ġveg ades", + "Par am", + "ĠF our", + "z one", + "t p", + "Ġtr uck", + "Ġprem ium", + "ed a", + "Ġfl uid", + "Ġdownload ed", + "T ool", + "Ġm ood", + "X ml", + "T ube", + "åľ° åĿĢ", + "ÑĨ о", + "Ġlong itud", + "tr ack", + "Ġtherap y", + "ÐĴ и", + "p in", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "Ġinv ariant", + "Ġh am", + "l ater", + "Ġach ie", + "Ġintellig ence", + "ú n", + "æŶ æľŁ", + "Ġsp ir", + "ch arg", + "acion als", + "ex pl", + "å Ĺ", + "Ġnot ion", + "并 没æľī", + "ä¸ī 个", + "ä» Ļ", + "æĻº æħ§", + "Ġ\" \"", + "л ÑĬ", + "log in", + "em es", + "Ġentr ance", + "家 çļĦ", + "ĠCh o", + "Ġim ply", + "æķ Į", + "Ġenc oding", + "Ġsum mar", + "ĠC y", + "Ġp ep", + "Ġа л", + "h our", + "åŁ¹ è®Ń", + "re rs", + "ĠCon fig", + "orge ous", + "Ġsus pend", + "Ġin ch", + "Ġcon form", + "ĠC ru", + "Ġsw ap", + "Î µ", + "X T", + "ĠV all", + "ĠL A", + "Ġop posed", + "us ername", + "Ġth rew", + "exec ute", + "ĠK ar", + "é£İ æł¼", + "TE ST", + "çªģ çĦ¶", + "Ġun f", + "ве жда", + "ĠRo om", + "I LE", + "ĠcÃłr rec", + "æĦı è§ģ", + "Ġburn ing", + "Ġsurpr ising", + "up er", + "Ġsuff ered", + "Ġb ands", + "éĥ ij", + "od i", + "tic le", + "Ġstri ke", + "h alf", + "Us ers", + "Ġfac ilit", + "人 ä½ĵ", + "Ġtem ple", + "pon ential", + "f d", + "Class es", + "Ġpol y", + "åģ ¶", + "res pond", + "æ¯į 亲", + "ла нд", + "A pi", + "Ġn it", + "ĠоÑĤ но", + "Ġre pository", + "IG HT", + "play er", + "Ġinst itution", + "Ġinvol ving", + "è·Ŀ 离", + "m il", + "is or", + "By tes", + "ä½į äºİ", + "Ġv oc", + "Ġmon ument", + "Ġexpect ations", + "V ar", + "ï da", + "å¿ į", + "R ect", + "ĠWill iams", + "ĠS her", + "Ġest oy", + "Ġh ip", + "ĠPe ak", + "Ġhyp othes", + "ĠEX PECT", + "æľº åħ³", + "Ġassess ment", + "ĠCh ief", + "å°± åĥı", + "Ġincl ou", + "Ġtransl ate", + "ĠC ase", + "pro perties", + "Ġign or", + "Ġfl ags", + "ĠCh rome", + "ĠCh ris", + "ĠM u", + "Ġdet all", + "è¿ŀ ç»Ń", + "Ġs ql", + "em an", + "ĠÑĤо зи", + "Ġsome body", + "Ġpro jection", + "Ġb atch", + "Ġdru gs", + "Ġcl ase", + "è· ¨", + "ò s", + "Ġmanufacture r", + "ĠгÑĢÑĥ па", + "ä¹Ł 许", + ")} {\\", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ<", + "ress ed", + "A CT", + "!! !!", + "Ġdi am", + "ctr ine", + "is o", + "Ġreport ing", + "Ġto ta", + "Ġpart itions", + "M R", + "ĠI R", + "ĠAustral ian", + ")\\ \\", + "Ġsymmet ric", + "Ġve ure", + "Ġattempt s", + "Ġmeet ings", + "ÐĹ Ð°", + "rec ord", + "S ave", + "Ġn acional", + "x r", + "et ary", + "ĠR h", + "ñ a", + "Ġste am", + "Ġfall s", + "Ġ' '", + "Ġà Ģ", + "G C", + "çķ ħ", + "Ġt ack", + "éĶ ĭ", + "U buntu", + "in ue", + "ĠCol umb", + "ĠH aving", + "ĠChild ren", + "un idenc", + "ind ic", + "æļ Ĥ", + "dep th", + "æ³ ī", + "Ġn g", + "Ġsp ark", + "P AR", + "ĠC orn", + "Ġdisc overy", + "Ġcompos ed", + "mer ce", + "ан д", + "ĠAl f", + "çļĦ éĩįè¦ģ", + "Lib rary", + "åĬŀ åħ¬", + "Ġl ord", + "Ġann oy", + "ĠM ol", + "Ġcop ies", + "w er", + "ĠDu ke", + "ĠCom mon", + "G od", + "åı¯ä»¥ 说", + "Ġepis ode", + "æѤ 次", + "Ġover w", + "ĠAut o", + "Ġм ал", + "Ġve ctors", + "å¾ Ħ", + "Ġhas n", + "ÑĤи н", + "ad el", + "Ġevery body", + "Ġref used", + "æĴ ij", + "( @", + "Ġinst al", + "Ġs eny", + "Ġdeep ly", + "åĨľ ä¸ļ", + "Ġll am", + "ü es", + "ch annel", + "ĠA ff", + "ĠM C", + "ĠB or", + "Ġre ly", + "im it", + "Ġtw elve", + "P erm", + "Ñħо д", + "ce p", + "Ġbon us", + "P lay", + "drop down", + "Ġmo ist", + "Ġlo ose", + "åİ» äºĨ", + "Ġcra zy", + "è ¦", + "ĠInd ians", + "us al", + "ĠWith out", + "ĠR ub", + "P ER", + "B D", + "Ġsc ores", + "ĠAnd rew", + "é¼ »", + "Ġo cean", + "è¡Į æĶ¿", + "reg ion", + "Ġdist ricte", + "Ġh ub", + "éĻ ª", + "ac ent", + "S ymbol", + "ç´ «", + "åĨħ çļĦ", + "Ġprodu cing", + "Ġt ender", + "ig ration", + "Ġmonitor ing", + "è¾ ij", + "Ad apter", + "ig ue", + "Ġе зи", + "d c", + "æ¡ ĥ", + "Ġamount s", + "or ious", + "itz ada", + "Ġg ifts", + "çļĦ 好", + "Ġinfr astructure", + "N ET", + "INS ERT", + "th ought", + "ĠBG COLOR", + "U nder", + "nd ia", + "us b", + "ĠN atural", + "A ug", + "çĮ «", + "reg ister", + "Ġro yal", + "ĠV ery", + "Ed itor", + "ÑĬÑĢ ÑĤ", + "Ġpray er", + "ist ant", + "necess ary", + "Ñģ по", + "Ġacknow led", + "ost ic", + "ĠR O", + "m ass", + "pe ople", + "ĠSe a", + "æī İ", + "Ġp y", + "Ġgrad ient", + "Ġdemonstr ate", + "ub ble", + "Ġзапо Ñĩва", + "æIJ ŀ", + "Ġfr ustr", + "åľ° 产", + "ĠÐIJ л", + "Ġз на", + "Ġsup plied", + "Ġinv ited", + "æģ¢ å¤į", + "ĠCanad ian", + "æľī çĤ¹", + "Ġp iano", + "å¹² éĥ¨", + "ĠA li", + "bo olean", + "ĠOlÃŃmp ics", + "ins on", + "Ġen ables", + "ĠP ers", + "ion at", + "à īs", + "m or", + "s omething", + "æĸ¹ 便", + "Acc ount", + "ab ases", + "qu ality", + "Ġa le", + "éħį ç½®", + "Ġexecut ive", + "ç»Ī äºİ", + "z ip", + "Ġд ÑĬл", + "op ic", + "includ ing", + "z es", + "è§Ĥ çĤ¹", + "ĠT ot", + "èµĽ åŃ£", + "F ET", + "head ers", + "Ob j", + "im o", + "Ġorgan ic", + "è¿Ļ 款", + "Ġr ug", + "ĠF er", + "Ġacqu aint", + "Ġpued es", + "ĠEx ecut", + "ĠSh ort", + "uns igned", + "Ġsubsequ ent", + "Ġqu ot", + "ä¹ĭ å¤ĸ", + "Ġforgot ten", + "Al umnes", + "im ation", + "lim it", + "Ġhouse hold", + "åľŁ åľ°", + "æ·± åħ¥", + "m ight", + "Ġw ake", + "ĠC ome", + "rib ució", + "Cont act", + "e ctions", + "Ġp itch", + "Ġtheore tical", + "Ġp ens", + "b ird", + "Ġcon vey", + "O ct", + "Ġcoun sel", + "Ġan xiety", + "Ġdro ps", + "Ġp ic", + "Ġs oc", + "Ġexpos ure", + "Wh ich", + "ĠJer sey", + "Ġprov es", + "% \"", + "ft en", + "Ġa ver", + "Ġa er", + "åľ ³", + "åıijåĬ¨ æľº", + "Ġsp ite", + "P arser", + "Ġse ctors", + "е ÑĤ", + "Ġhav ien", + "пÑĤе мвÑĢи", + "ä¸ ģ", + "fr ica", + "欢 è¿İ", + "Ġt el", + "Ġна гÑĢа", + "æĻļ ä¸Ĭ", + "Ġampl itude", + "ĠL ab", + "åĪ¶ ä½ľ", + "ex cept", + "Ġhand ler", + "ĠD ub", + "Ġparticip ate", + "id al", + "ĠN orm", + "By te", + "ĠlÃŃ nia", + "Ġm arg", + "Ġprom ised", + "B it", + "ĠH P", + "Ġre in", + "r ons", + "vert ed", + "ĠÑĦ оÑĢ", + "ĠSh op", + "an qu", + "ĠD ick", + "g i", + "Ġconv inc", + "ĠW orks", + "Ġappoint ed", + "ĠN othing", + "Ġcan vi", + "Ġdi ode", + "Ġк Ñĥ", + "ÑĢо в", + "Ġdon de", + "çģ Ń", + "ñ o", + "ik es", + "åķĨ åĵģ", + "æ·± åľ³", + "Ġflow er", + "Ġpan els", + "ĠMon te", + "ry ing", + "ä½ĵ èĤ²", + "Ġst ellar", + "Ġalg unes", + "vious ly", + "Ġend ing", + "Ġto morrow", + "Ġguid ance", + "Ġsched uled", + "Ġcomb ine", + "Ġcan ç", + "Ġmat rices", + "ĠC ro", + "å°¤åħ¶ æĺ¯", + "èĪ į", + "Ġcommit ment", + "H ab", + "AD D", + "ĠiP ad", + "Ġpropos al", + "Ġph p", + "Ġpow der", + "Ġattract ive", + "ĠPro te", + "Ġrestrict ed", + "k t", + "Ġgr ub", + "ĠR oma", + "ĠD un", + "Ġremov al", + "Ġtr as", + "å¨ ±ä¹IJ", + "ĠJack son", + "m ill", + "Ġemot ional", + "ac ial", + "Ġurb an", + "if ice", + "Ġz ones", + "Ġinsp iration", + "Ġredu cing", + "Ġclos ing", + "æĭ ¼", + "im m", + "ĠÑģ пе", + "ĠP ref", + "Ġg athered", + "âĢ ĭ", + "çŃ ¹", + "S ER", + "r b", + "circ le", + "Ġn amely", + "Ġsl ip", + "ĠPort ug", + "Ġcompan ion", + "com fort", + "Ġcy cl", + "and ra", + "Person es", + "g ot", + "ĠC S", + "ĠD ictionary", + "Ġflex ible", + "ĠJ uan", + "ĠW atch", + "ĠD urant", + "lik ely", + "M edia", + "Ġh un", + "Ġmor ph", + "çªģ çł´", + "Ġtip o", + "f ive", + "ig r", + "ĠN a", + "èĤ ¾", + "s ed", + "ĠB oy", + "ilib rium", + "ĠТо й", + "Ñı ÑģÑĤо", + "up id", + "Ġexpl o", + "Ġab use", + "æ¡Ī 件", + "Ġout come", + "Ġy ard", + "Ġmur der", + "Ġopin ions", + "ex ception", + "身 份", + "Ġpec uliar", + "Ġstead y", + "Ġinn oc", + "ed at", + "и н", + "ĠS outhern", + "Ġinnov ative", + "Ġfil ms", + "book s", + "ä» ģ", + "æĿ¥ æºIJ", + "Ġsc ales", + "L ock", + "F in", + "tik z", + "å¨ ĺ", + "ĠG aussian", + "Ġshoot ing", + "Ġw ished", + "Ġrep et", + "ĠL oad", + "Ġb ol", + "å¤Ħ äºİ", + "Ġ ·", + "ĠA qu", + "lem en", + "Ġfl uct", + "Ġви Ñģо", + "çĿ Ľ", + "å¥ Ķ", + "Ġb ell", + "Ġsaf ely", + "Ġport s", + "ĠSt an", + "ĠÑģÑĢе Ñī", + "çļĦ ä¸Ģ个", + "F ORM", + "ç¥ Ŀ", + "Ġp ink", + "Ġbe er", + "ле ние", + "art icle", + "пи Ñģа", + "Ġden ied", + "Ġs ink", + "a ç", + "Ġaff airs", + "Ġauthor ities", + "Ġno se", + "Âł $", + "U SE", + "OD O", + "Ġsc ar", + "sh ips", + "ĠÐŁ ÑĢи", + "Ġ ÑĢÑĥ", + "Ġd avant", + "Ġh ire", + "г ен", + "ĠI F", + "ard ens", + "ĠÐĻ о", + "æ´ ŀ", + "ĠSm all", + "ĠStand ard", + "ev ents", + "ĠV I", + "Ġpro pose", + "п ен", + "æĦŁ åıĹ", + "æ³ ¥", + "Ġo d", + "èt ica", + "clos ure", + "ĠCE O", + "Ġangl ès", + "Ġд ва", + "æģ Ĵ", + "ĠÑĥни веÑĢÑģиÑĤе", + "ÑĤи ÑĢа", + "ç¡® ä¿Ŀ", + "并 ä¸įæĺ¯", + "Ġ=> Ġ$", + "Ġliter ally", + "ĠL at", + "Ġdream s", + "Ġany body", + "æ» ´", + "Ch anged", + "Ġn ations", + "Q UE", + "Ġmind s", + "Ġmag net", + "åIJĪ çIJĨ", + "Ãł nic", + "in line", + "ĠDE FAULT", + "Ġd ictionary", + "åĭ ¤", + "R ule", + "ĠPol icy", + "S ch", + "Ġ um", + "Ġк ла", + "d am", + "Ġdevelop ers", + "' (", + "æĿ °", + "åľ¨ ä¸Ģèµ·", + "Ġlo ving", + "ĠAp plication", + "åĴ ¨", + "Ġsatisf ying", + "Ãł tic", + "éĢIJ æ¸IJ", + "(\" #", + "Ġprepar ation", + "S ym", + "Ġpref ix", + "in ated", + "C re", + "Ġconver gence", + "Ġestat unidenc", + "Ġb ab", + "Ġman ip", + "æ°ij æĹı", + "éĺħ 读", + "çħ§ çīĩ", + "èħ IJ", + "å° Ŀ", + "Ġfood s", + "Ġcontempor ary", + "ĠÐ¥ а", + "ĠEx pl", + "b c", + "Ġl amp", + "Ġinterpret ation", + "ĠF unction", + "Ġtax es", + "Ġro ots", + "il ty", + "Ġh ath", + "ĠÑĢаз по", + "ans as", + "ic ip", + "ĠM icro", + "o or", + "æĺ¯ ä¸į", + "ps on", + "Ġweight s", + "ĠD am", + "Ġalt ra", + "ĠÑĤÑı Ñħ", + "Ġdec ent", + "m any", + "Ġphys ics", + "a fe", + "Ġle ts", + "Ġp úblic", + "Ġбе з", + "èª ī", + "W A", + "èĢģ 人", + "Ġdispl ays", + "Ġ\\ }", + "C ho", + "Ġmil itar", + "Ġtem pt", + "ĠÐļ он", + "Ġang ry", + "Ġless ons", + "t an", + "Ġst ages", + "ĠE ss", + "Ġap ple", + "Str uct", + "åĺ ´", + "ле к", + "Ġg ear", + "F IG", + "ĠBrit ain", + "j ob", + "ĠO xford", + "Ġcond em", + "Pro p", + "T unes", + "k ernel", + ": #", + "çĪ¶ 亲", + "P ay", + "or ient", + "Ġse vent", + "ĠÑģве ÑĤо", + "l it", + "è´ ¯", + "Ġlux ury", + "Ġweap ons", + "çİ° å®ŀ", + "çĭ Ĥ", + "ty m", + "con figure", + "Ġdiss eny", + "re ason", + "ĠCath olic", + "m ma", + "and y", + "Ġfl avor", + "ве Ñĩе", + "åħį è´¹", + "Ġwas h", + "w an", + "M unicipis", + "th ur", + "离 å¼Ģ", + "anç ant", + "Ġfin als", + "cul es", + "Ġf lying", + "æ· »", + "Ġpropi et", + "ĠCl oud", + "è¡Į çļĦ", + "да ÑĢ", + "c over", + "Ġfor um", + "Ġbatter ies", + "Ġconc ert", + "Ġpe ix", + "Ġv int", + "res p", + "Ġд ÑĬÑĢжа", + "Ġej ecut", + "Ġpos ició", + "ĠÐŁ ÑĬÑĢ", + "Ġrepresent ative", + "ic ional", + "Ġsc roll", + "ss ia", + "设 æĸ½", + "ĠH ad", + "èµ Ķ", + "Ġinit ially", + "ar on", + "Ġad mitted", + "Ġfore n", + "æĺ ¨", + "ry ption", + "Ġrout ine", + "I gn", + "ĠN ature", + "Ġqual ified", + "Ġt ort", + ")\\ ,", + "Ġatt itude", + "ä¸Ĭ 涨", + "requ ired", + "Ġb id", + "Ġput s", + "å® ĩ", + "çħ ®", + "ĠD rive", + "Time out", + "åĴ¨ 询", + "Ġc ute", + "ĠW ild", + "Ġworth y", + "å±ħ æ°ij", + "Ġpay ments", + "åĬ ²", + "ĠT E", + "Ġpen al", + "Ġconsequ ences", + "èµĦ æľ¬", + "spec ific", + "k l", + "ÑĤе ли", + "ÑĢÑĬ Ñīа", + "ĠÑĥ Ñĩи", + ") },", + "Aut hor", + "æĦ¿ æĦı", + "Ġpos it", + "说 çļĦ", + "Ġimped ance", + "ur se", + "Ġbu ilder", + "Ġrough ly", + "Ġunus ual", + "ĠBro ad", + "çī¹ çĤ¹", + "Ġpolynom ial", + "Ġrespect ive", + "Ġprim arily", + "eng ers", + "ĠUn fortunately", + "Ġins ight", + "ener gy", + "Ġen force", + "Ġequip ped", + "Ġinvestig ate", + "S n", + "> $", + "st ers", + "Ġacc um", + "è®Ń ç»ĥ", + "çļĦ å·¥ä½ľ", + "Ġt ags", + "ä¼ į", + "Ñģ ле", + "ĠM obile", + "Ġinv oke", + "Ġexpl ains", + "Ġen orm", + "con scious", + "[ (", + "m ask", + "ĠStud io", + "ab a", + "Ð ©", + "ла га", + "ex per", + "Cl ose", + "å°± ä¸į", + "ĠN eed", + "Ġig ual", + "Ġbranc hes", + "Ġи гÑĢа", + "erv ing", + "ç»Ŀ 对", + "Ġact u", + "if ting", + "æĹ ģ", + "Ġна Ñģеле", + "er as", + "H D", + "Ġcert ificate", + "羣 å®ŀ", + "ĠV eg", + "se en", + "Ġp ad", + "Ġизпол зва", + "Ġcl othing", + "æĥħ 绪", + "Ġserve i", + "гÑĥ ÑģÑĤ", + "ific is", + "Pr int", + "Ġperiod s", + "Select or", + "act ic", + "ĠL ay", + "ct l", + "为 主", + "Ġcomplet ion", + "ĠCol l", + "Ġpolit ics", + "Ġor th", + "r andom", + "ò lic", + "Ġun ity", + "Ġstart up", + "Ġllib re", + "lis her", + "at ile", + "Ġadvant ages", + "Ġult imately", + "äºĭ 件", + "æīį æĺ¯", + "le e", + "Pro gram", + "S ele", + "c rit", + "Ġs ynchron", + "о л", + "ident al", + "Ġ ÑĢÑĬ", + "Ġluck y", + "éĵ º", + "æĮ ¯", + "Ġcommunic ate", + "Ġimpress ive", + "gn ome", + "Ġmost rar", + "é¦Ļ 港", + "ĠгÑĢа ÑĦ", + "ĠL ind", + "æķ° åŃĹ", + "m g", + "Ġdist ant", + "Ġres um", + "Ġsam pling", + "s un", + "ä¸Ģ æŦ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ<", + "Ġun itats", + "Ch annel", + "Ġb orrow", + "Ġspect ra", + "Ðij ÑĬлгаÑĢÑģки", + "eli hood", + "f ony", + "w alk", + "T ABLE", + "ĠF inal", + "ED IT", + "åĵ ¦", + "w ind", + "Ġsche ma", + "èĢĮ è¨Ģ", + "us ers", + "Que ue", + "èĤ ¿", + "Ġnav igation", + "ĠÐļ Ñĥ", + "C F", + "ĠV ari", + "Ġexam ine", + "åĪ° åºķ", + "ç§ Ĵ", + "ĠJ ane", + "Ġevery day", + "Ġt x", + "ĠTr ust", + "an while", + "ĠH ost", + "ç¾İ çļĦ", + "è¦ Ĩ", + "Ðł аз", + "f ail", + "ä¼¼ ä¹İ", + "ĠM other", + "èĥ Ĩ", + "Ġtrack ing", + "G IN", + "ä¸Ń åįİ", + "èĸ Ħ", + "Ġм ÑıÑģÑĤо", + "uss ion", + "èĥ ¸", + "Re lease", + "æĮ º", + "ли н", + "ĠE N", + "g ia", + "ĠT al", + "ĠO pt", + "Ġe c", + "Ġde ploy", + "Ġesc rit", + "iron ments", + "å¿ ½", + "Item s", + "sp ir", + "éŃ Ķ", + "ÑĢо д", + "Ġoccup ied", + "b la", + "Ġbow l", + "B est", + "Ġeng agement", + "家 éĩĮ", + "è¿Ľè¡Į äºĨ", + "Ġad apter", + "ĠH o", + "ateg y", + "ĠдÑĥ ÑĪи", + "Ġm ath", + "re port", + "ĠJose p", + "T oday", + "Ġassoci ation", + "Ġpass es", + "Ġentertain ment", + "Ġimpro ving", + "æ¦ ľ", + "orig inal", + "st ats", + "Ġb ien", + "c od", + "Act iv", + "ĠEl izabeth", + "Ġcont rary", + "Ġо Ñīе", + "Ġmaintain ed", + "Ġf right", + "Ġ rip", + "in ch", + "Ġdes per", + "ä¹ ı", + "Ġsp o", + "æŃ£ ç¡®", + "å¡ ij", + "Ġd ign", + "éĶ ģ", + "éĩĩ åıĸ", + "ĠT aylor", + "ã o", + "Ġf ier", + "cle an", + "Ġint ensity", + "æľ¬ 身", + "du ino", + "Ġr um", + "ĠDo ctor", + "at tered", + "Ġе дна", + "z il", + "B M", + "Ġcons ent", + "Ġserv ir", + "call back", + "Ġhost ing", + "Ä ģ", + "æĤ ²", + "en um", + "pre ne", + "s al", + "ç½ij ç«Ļ", + "Ġneigh bour", + "ĠB ru", + "ĠG iven", + "omorph ic", + "P G", + "inte gr", + "Ġaccompl ish", + "pro position", + "Ġt ank", + "Ġstudy ing", + "æĺİ æĺŁ", + "Ġan ten", + "� �", + "Ġappro x", + "add le", + "ĠCons ell", + "Direct ory", + "к ÑĢе", + "è¯ ¦", + "Ġg ay", + "åħ¬ åħ±", + "_ *", + "ĠÐIJ ÑĢ", + "ĠH ospital", + "ĠS S", + "Ġgra ve", + "Ġf estival", + "Esp anya", + "Ġquad r", + "严 æł¼", + "I OS", + "ĠP ath", + "Ġass et", + "ĠL ev", + "M rs", + "Ġre aching", + "Ġdesc ript", + "O F", + "P UT", + "Ġd ownt", + "Cons ider", + "кедо ниÑı", + "ĠN ap", + "ĠEd ward", + "depend ent", + "b g", + "èc ia", + "Ġaccept able", + "Ġde eper", + "ri ers", + "pl er", + "Âł metres", + "åĨ Ĵ", + "Ġpobl acions", + "ard o", + "о ло", + "Ġcont est", + "Ġdi verse", + "yg on", + "Ġpert any", + "éĩį æĸ°", + "æľĪ 份", + "çIJĨ 论", + "Ġtelev isió", + "æĥ ľ", + "spec ial", + "Al g", + "ĠK en", + "oc up", + "ph ones", + "Ġfound ed", + "od ot", + "eng ine", + "du ctor", + "ĠEx press", + "W M", + "èĬĤ 缮", + "ĠS SD", + "Field s", + "( !", + "ç¾İ 丽", + "sc roll", + "// /", + "в Ñĥ", + "ĠIS BN", + "ä¸ĭ éĿ¢", + "pend ix", + "Ġscen es", + "Ġinf ant", + "ĠD escription", + "çĶ¨ çļĦ", + "s is", + "Ġhe sit", + "Ġtest im", + "å¢ŀ 强", + "åĬŀ çIJĨ", + "же ние", + "Ġport a", + "s ame", + "Ġhard er", + "æĭ Ł", + "Ġdestroy ed", + "Ġag encies", + "çIJĥ éĺŁ", + "Ġhist ò", + "Ġpre g", + "Ġelse where", + "ier re", + "Ġ-- -", + "Ġno body", + "Ġconf usion", + "Ġdrink ing", + "Ñĩе Ñģка", + "Rem ove", + "Amer ican", + "Ġg iant", + "it age", + "comp any", + "ac cept", + "pe ction", + "D ay", + "Ġview ed", + "e res", + "м пи", + "Ġclust ers", + "Ġvul ner", + "éħĴ åºĹ", + "clud es", + "L ear", + "çĹĩ çĬ¶", + "âĢĶ âĢĶ", + "Ġg nome", + "Det ails", + "кÑĬ Ñģно", + "ĠO cc", + "ang el", + "Ġro les", + "Ġamong st", + "st ic", + "Ġform ar", + "Ġserve is", + "м Ñĥ", + "any es", + "nc ies", + "让 æĪij", + "Ġlog o", + "Flo at", + "F urther", + "Ġdark ness", + "Ġcomput ers", + "éĻ ·", + "во ÑĤо", + "ĠF ac", + "se par", + "H R", + "æ³ Ľ", + "ç½ ²", + "ме ÑĤ", + "h d", + "Ġsh ield", + "Ġmem bre", + "Ġm uest", + "ro le", + "Ġsw ord", + "Ass ert", + "P op", + "Ġdis crete", + "Ġp es", + "Ġhe ating", + "Ġgraph s", + "c ourse", + "ĠA G", + "æį ·", + "Ġh its", + "Ġcompl iance", + "Ġaut or", + "q q", + "b urn", + "Ġalt ogether", + "v int", + "M atch", + "Ġra rely", + "ĠD own", + "Ġh ospit", + "ĠEn vironment", + "Ġacqu ired", + "åѦ ä¼ļ", + "Ġalong side", + "Ġprof iles", + "Bo olean", + "Ġloss es", + "ĠD ocument", + "人 ç±»", + "Ġrec ording", + "å®Į åĸĦ", + "Ġll og", + "os ed", + "Ġclass ific", + "èĤ¡ 份", + "Ġgl ob", + "ĠO l", + "c amp", + "æĸ½ å·¥", + "The orem", + "Pan el", + "å¯ ¿", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠ", + "ay a", + "缴 æĴŃ", + "Ġcr ash", + "d frac", + "Ġsc aling", + "ĠÑģÑĢеÑī Ñĥ", + "çłĶ åıij", + "o a", + "ĠÑĨ ÑĬÑĢ", + "Ġf ishing", + "åİŁ åĪĻ", + "Ġnot ation", + "ir ts", + "on to", + "Ġdisc rim", + "Ġrel at", + "ÑģÑĤ ÑĬ", + "Ġris ks", + "b oth", + "ĠLe vel", + "G rid", + "ver ter", + "Ġre install", + "é ī", + "Ġearn ed", + "ado op", + "Ġwood en", + "éĢļ çŁ¥", + "Ġgl ory", + "ue go", + "Ġph r", + "map sto", + "è ²", + "çļĦ çĶŁæ´»", + "IT ION", + "Ġredu ces", + "å« Į", + "Ġcapt ured", + "追 æ±Ĥ", + "ĠAs sembly", + "Ġeng age", + "w d", + "Ġm sg", + "ĠN ode", + "ÑĨ ен", + "设 ç½®", + "Sec urity", + "v et", + "Ġag ric", + "Ar ch", + "Ġwe ird", + "д ж", + "ĠT a", + "ier a", + "Ġgl ance", + "è¾ £", + "ĠCh ange", + "ep endent", + "im pl", + "Ġinstant ly", + "ion ed", + "ĠÑģе пÑĤемвÑĢи", + "p al", + "Ġh al", + "Ġcomput ing", + "å¾Ī éļ¾", + "ex ists", + "æ¶ Ĥ", + "ST ATE", + "Ġre volution", + "е ди", + "ÃŃ f", + "ка ÑĢ", + "ap se", + "Ġsub mitted", + "Ġres ume", + "Ġfluct u", + "or ic", + "Ġrece iver", + "æĹ¥ 常", + "æĺ¯ ä¸ª", + "O pt", + "al and", + "Ġo x", + ". __", + "Ġt ied", + "Trans action", + "åı¥ è¯Ŀ", + "P ublic", + "Ġenter prise", + "sw itch", + "еле жки", + "身 è¾¹", + "Ġor n", + "Ġplatform s", + "Ġпе ÑĢио", + "ú ssia", + "éĢ ĥ", + "ä¸Ģ 家", + "车 çļĦ", + "Ġecon òm", + "çĪ± çļĦ", + "que ue", + ") [", + "Ġmunicip al", + "移 åĬ¨", + "Ġret orn", + "Ġresearc hers", + "sing le", + "ĠG ames", + "åĨ Į", + "å¿ĥ éĩĮ", + ") --", + "çŁ ¿", + "à ¸", + "Ġ ÑĪ", + "Ġs ons", + "Ġsuggest ion", + "id ays", + "E Q", + "éī ´", + "æīĭ æľ¯", + "Ġvers us", + "Ġb rows", + "Ġcal endar", + "Ġam d", + "ĠK ent", + "ä¹Ł 没æľī", + "Ġthorough ly", + "пÑĥ бли", + "Ġf itting", + "ĠT ask", + "Ġlock ed", + "ÑĤо ÑĢиÑı", + "ad as", + "Ġfort une", + "Ġ+ +", + "Ġbroad cast", + "Ġw isdom", + "Ġas ympt", + "d ark", + "Ġp ushed", + ") &", + "ĠM i", + "w art", + "O wn", + "uc ed", + "Ġque ue", + "ol is", + "åľ¨ è¿Ļ", + "Ġ[ [", + "load er", + "éº ¦", + "ass es", + "вÑĬÑĢÑĪ ва", + "åĪ© çĽĬ", + "ĠN ob", + "Ġbelong s", + "Ï ĥ", + "ми ни", + "U C", + "ol o", + "æ¬ £", + "ĠT an", + "ĠFr ont", + "wr itten", + "A F", + "S al", + "ou bt", + "sn ap", + "Ġpol ÃŃtic", + "Ġprodu cció", + "G en", + "M sg", + "ĠAd am", + "Ġfr ames", + "Ġprocess or", + "è´· 款", + "ess a", + "Ġlo ans", + "Ġdent ro", + "ĠS ET", + "å¤ º", + "VER SION", + "ĠT en", + "ĠOh io", + ") }}", + "çĵ ¶", + "Ġp uzz", + "беÑĢ г", + "Ġdatas ets", + "path y", + "Ġclaim ed", + "con g", + "av ailable", + "B el", + "Ġwant ing", + "not ations", + "Âł aC", + "id ir", + "Ġdo zen", + "clip se", + "v c", + "èĭ± åĽ½", + "se q", + "Ġestim ation", + "Ġfrequ ent", + "W rap", + "Ġless on", + "é¢ Ĺ", + "å® ¾", + "ĠP os", + "ÑģÑĤ ви", + "LE S", + "æŶ çļĦ", + "Ġh anging", + "Ġch ances", + "Ġrel acion", + "ly mp", + "Ġdut ies", + "th ose", + "Ġtransist or", + "èĭ Ĺ", + "å·¥ èµĦ", + "Ãł b", + "Ġet apa", + "ç¨ĭ åºı", + "Ġl ens", + "ing ut", + "ous es", + "r ub", + "Ġ> =Ġ", + "ch ief", + "Ġhor izontal", + "Ġex clus", + "D est", + "m us", + "æľī ä¸Ģ个", + "Ġm aj", + "ĠÐŁ ÑĢо", + "Int roduction", + "ĠC ost", + "Ġas h", + "Ġsh ame", + "Desc riptor", + "Tr ack", + "Ġor ange", + "ç²ī ä¸Ŀ", + "Ġbut tons", + "Ãł nica", + "ly ph", + "ĠArm y", + "ir k", + "sim ple", + "ĠSeg ons", + "Ġc ock", + "Ġte en", + "Ġlaw yer", + "t re", + "ĠE tym", + "let es", + "on na", + "part y", + "æĬķ åħ¥", + "ä¸ĭ åįĪ", + "Ġtelev ision", + "ĠJos é", + "Ñĩе ние", + "Ġstrict ly", + "Ġun lock", + "Ġcont ro", + "Ġremem bered", + "å°ı åѦ", + "Ġmat hemat", + "Ġmechan ical", + "ĠIntern acional", + "Ġm are", + "Ġcharg ing", + "å¾ ª", + "Ġroad s", + "R ad", + "Ġfil ters", + "A pr", + "SI ZE", + "æľº åĪ¶", + "Ġd ub", + "lo ve", + "èĢ Ģ", + "ĠE L", + "Ġresult ado", + "Ġconvent ional", + "ff f", + "ot on", + "Ġt ar", + "ĠF C", + "ĠSim ple", + "Ġlist ing", + "大 éĩı", + "æĦ Ī", + "åĵģ è´¨", + "Ext ension", + "æĺ¯ ä¸įæĺ¯", + "Ġoverw hel", + "æ ©", + "ĠL as", + "å§ ľ", + "ÑģÑĤ ÑĢан", + "Ġcom pt", + "æħ¢ æħ¢", + "Ġcamp us", + "é ixer", + "les h", + "et he", + "Ġcult iv", + "Ġupgrad ed", + "ĠG er", + "ĠSc ript", + "Ġrent al", + "n is", + "es glésia", + "ifest yle", + "A uth", + "par ison", + "ip er", + "ĠCol lection", + "ill er", + "ĠBro ok", + "Ġsc arcely", + "èı ²", + "ul us", + "Ġexp enses", + "æŶ å°ļ", + "Re port", + "Ġtrou bles", + "y ers", + "Ġinvest ors", + "ĠC ub", + "Ġ ion", + "Ġreg ulations", + "Ġre const", + "æ¸ħ æ¥ļ", + "èľ ľ", + "g ra", + "al og", + "ĠBlu etooth", + "iz a", + "ĠSystem s", + "Ġgalax y", + "ST AT", + "ĠSet tings", + "Ġ[ ];", + "Ġll uit", + "ç½ij ä¸Ĭ", + "get s", + "Ġpr inter", + "ä¹ Į", + "od d", + "åıijå±ķ çļĦ", + "Ġup coming", + "Ġro cks", + "Ġwin ner", + "èĥ ¶", + "è®° å½ķ", + "Ġselect ing", + "Ġr ural", + "Ġdire cció", + "st ud", + "Ġdeb ate", + "Ġwood s", + "op es", + "Ġpar agraph", + "å¹³ åĿĩ", + "char acter", + "cd n", + "è§ Ī", + "ĠS ky", + "Ġgr ateful", + "ĠÑĤа ка", + "ĠAre a", + "åº Ł", + "col a", + "Ġon going", + "Ġr am", + "Ġtong ue", + "rypt ed", + "ĠĠ +", + "çĭ¬ ç«ĭ", + "Ġe q", + "fe ature", + "Ġmin ing", + "s ym", + "Ġbo ots", + "CE SS", + "Ġcloud s", + "Ġpaint ed", + "æĽ´å¤ļ çļĦ", + "не Ñģ", + "ĠĠ `", + "Ġ ).", + "Ġpress ed", + "bur gh", + "æ §", + "Ġcr ist", + "Ġfrequ encies", + "V ideo", + "ado res", + "ĠF ont", + "In v", + "hold ers", + "ĠEd ition", + "æĶ¹ åĸĦ", + "çľĭ çĿĢ", + "èµĦ æĸĻ", + "b é", + "ĠU nc", + "åĪ© 润", + "ĠHel p", + "Ġgall ery", + "Ġrespons es", + "äºĭ æķħ", + "ĠO t", + "Ġb omb", + "Ġgrad ually", + "ĠÑĤ ÑĥÑĢ", + "Ġs is", + "Ġpil ot", + "Ġg ènere", + "To String", + "Com ment", + "aw a", + "ĠF all", + "Ġcirc ular", + "е на", + "æī¿ æĭħ", + "Ġmix ing", + "ĠYou Tube", + "г ла", + "ĠPro perty", + "Sh ould", + "éĩį 大", + "Ġpredict ed", + "çĽij 管", + "Ġ> >", + "riv ing", + "Ġrad iation", + "é© ±", + "m oment", + "Ġim plements", + "Ðij ележки", + "Ñī еÑĢ", + "E P", + "Ġt èc", + "ĠL le", + "空 æ°Ķ", + "ĠWil son", + "per or", + "Ġdiam ond", + "bo y", + "m ir", + "Ġenc ounter", + "ever al", + "u ing", + "as ures", + "St op", + "Ġill ness", + "ĠPhil ip", + "ĠS ep", + "è¾ Ī", + "çľ ł", + "app ly", + "m A", + "ĠAnton io", + "Ġви д", + "him self", + "Ġor den", + "Ġi Tunes", + "åIJĮ æ¯Ķ", + "Ġwor n", + "c ref", + "â ij", + "Ġm arch", + ": }", + "ĠF oot", + "кÑĤо мвÑĢи", + "m os", + "V ery", + "ix el", + "b is", + "о ни", + "çIJĨ 念", + "Ġt ang", + "绣 ä¸Ģ", + "Ġinstr uments", + "uest a", + "B oth", + "ĠD im", + "Ġfa ç", + "çĽ Ī", + "ĠпÑĢо дÑĬл", + "ogene ous", + "å®ŀ è·µ", + "reg a", + "T F", + "Ġvess el", + "Ġfet ch", + "æĪĸ 许", + "æĦŁ åĪ°", + "f ixed", + "op her", + "Ġt erra", + "让 ä½ł", + "Ġr ated", + "Ġmembers hip", + "Ġv ain", + "Ġm ismo", + "广 åijĬ", + "Ġbreak s", + "вÑı ÑĤ", + "Ġniv ell", + "pe at", + "èĭ ¹", + "кÑĤо ÑĢ", + "Ġfill ing", + "Ġin icial", + "Ġp uls", + "Ġcom and", + "Ġquant ities", + "åĵ Ń", + "Ġheav ily", + "Ġclick ing", + "** *", + "Ġnight s", + "è¿ħ éĢŁ", + "С е", + "Ġassert Equals", + "P res", + "Ġobst ant", + "ĠA sh", + "Ġres erv", + "t iny", + "ĠS I", + "Ġplace holder", + "Ġp ace", + "æ° §", + "Ġfuncion a", + "çľ¼ çĿĽ", + "Ġdescrib ing", + "Ġan ar", + "Ġdefin itions", + "æĢ§ èĥ½", + "Ġmem ories", + "con sole", + "at iu", + "Ġre un", + "Ġb oss", + "Ġstatist ical", + "ĠHamilton ian", + "ĠBl ock", + "Ġre act", + "Ġper mitted", + "Ġleg end", + "å° ĸ", + "Ġed iting", + "N ER", + "Ab stract", + "arr is", + "ol ver", + "ма ÑĤи", + "par ameters", + "ÑĤ ÑĢÑĥ", + "æķ° éĩı", + "Ġd rain", + "æ¼ Ĥ", + "p rom", + "Ġk it", + "Ġsurround ed", + "大 éĥ¨åĪĨ", + "å® ¿", + "è ķ", + "è§Ĥ ä¼Ĺ", + "ĠC ou", + "ÑĤо к", + "åĿ ¦", + "Ġcal ib", + "Ġcounc il", + "ĠH ay", + "ĠSen ate", + "ĠSur vey", + "t ail", + "Ġstop s", + "Ġconcept s", + "ĠB log", + "Ġtempor al", + "Ġas p", + "å¹´ é¾Ħ", + "Ġover come", + "Ġcommunic ations", + "an th", + "åIJį çļĦ", + "[ :", + "ĠÐĶ е", + "ĠReg ne", + "Ġe urope", + "h ide", + "Ġw ishes", + "èĩª æĪij", + "ĠMod ern", + "Ġus ername", + "ĠB ath", + "Ġsing ing", + "æ¾ ³", + "ĠPac ific", + "rep resent", + "æµ ®", + "Ġg orgeous", + "ĠN ick", + "Ġvary ing", + "V I", + "Ġconf ess", + "ĠS ite", + "ter min", + "ĠF O", + "Ġne arest", + "Ġg uns", + "Ġgrav ity", + "Ġr outer", + "Ġ{ {", + "ĠT her", + "å¾Ī 好", + "H C", + "J oin", + "Ġcop per", + "Ġcr usher", + "ac o", + "ç¼ ´", + "Ġcry pt", + "w ich", + "нÑĥ аÑĢи", + "m uch", + "ĠD I", + "ap y", + "Ġcross ed", + "Ġaware ness", + "init ial", + "Ġmitj ançant", + "Ġrel ay", + "Ï Ĥ", + "ĠT X", + "Ġr iding", + "sc ience", + "Ġmag azine", + "x s", + "Ġsymbol s", + "Ġconvert ed", + "Ġte ch", + "ÑģÑĤо ÑĢи", + "r ams", + "Ġmem bres", + "Mem ory", + "B en", + "r iction", + "Ġjo ining", + "Ġtarget s", + "Ġconstruct or", + "åħħ 满", + "he ld", + "AN G", + "Ġsc rew", + "Ġmy ster", + "ĠT y", + "ire less", + "SE E", + "çī¹ æ®Ĭ", + "ÑĤе ÑĢи", + "Ġimprove ments", + "Ġl in", + "Ġref lection", + "Pro v", + "Ġbeg un", + "Ġph arm", + "em at", + "Ġvari ations", + "Ġmet adata", + "Ġsup plement", + "Ġs ocket", + "ä¼ ¸", + "Ġtext ure", + "Ġc um", + "B ER", + "ĠT err", + "we ak", + "èĭ¹ æŀľ", + "ĠSte ve", + "ĠPh ys", + "g al", + "ĉĉĉ $", + "h bar", + "Ãłc ia", + "Ġbe aring", + "g b", + "ĠG N", + "Ġweap on", + "C ome", + "ĠС ÑĤа", + "M ember", + "Ġle ague", + "ĠM essage", + "ĠMc C", + "rie ve", + "ç¢ İ", + "ĠM è", + "Ġs or", + "gr ub", + "Ġsh ops", + "Ġoff ices", + "身 ä¸Ĭ", + "Ġbo ards", + "ĠX ML", + "Ġavail ability", + "Ġarr anged", + "ä¸į åĨį", + "M ock", + "å¾Ī 大", + "åĩ ¯", + "Ġfeature d", + "ĠC in", + "çĤ ¸", + "Ġmod al", + "Ġanim ation", + "ĠEd itor", + "Ġse ats", + "Ġlleng ua", + "Ġpued o", + "print f", + "Ġdesign er", + "ĠC lient", + "ac ias", + "Ġg aire", + "Ġet ern", + "è¿IJ è¡Į", + "Ġanomen at", + "==== ==", + "Ġиз да", + "Ġproport ion", + "par a", + "Ġp c", + "ic ity", + "ous in", + "æIJ ľ", + "pl atform", + "æĿ ľ", + "Ġprogram me", + "Ġlog s", + "Ġworld wide", + "ĠÐľÐ° кедониÑı", + "Ġaccompan ied", + "Ġm eta", + "\\ ;", + "ĠF ox", + "å§ Ĩ", + "US ER", + "Ġes deven", + "F ailed", + "Ġvac ation", + "ĠÑģи н", + "çļĦ æĸ¹å¼ı", + "ĠG reg", + "ams ung", + "Ġprop ri", + "Ġpers u", + "RE AD", + "ĠC ant", + "Ġke en", + "ĠMount ain", + "æ¯Ķ ä¾ĭ", + "Ġsucceed ed", + "æīĵ å¼Ģ", + "ult ura", + "Ġem otion", + "л наÑĤа", + "å¦ Ļ", + "å²ģ çļĦ", + "ĠF L", + "p iece", + "Ġ> =", + "Ġan xious", + "Ġl leg", + "Ġdi pl", + "Ġvict im", + "æ¯ı 次", + "度 çļĦ", + "W R", + "Ġappro val", + "ul um", + "ç§ ¦", + "ĠD og", + "д ÑĬÑĢжа", + "Ġh ills", + "Ġc ref", + "ra it", + "Ġman aging", + "lap se", + "ab et", + "ãĢ Į", + "p ow", + "Ġf ate", + "Ġt rivial", + "Ġv est", + "Ġexcit ement", + "Ġqu otes", + "ĠM undial", + "Ġf aint", + "G raph", + "Ġfor ty", + "AS H", + "or se", + "Ġdemand s", + "Ġgener ating", + "ĠA f", + "å½¢ 象", + "ogrÃł fica", + "ÑģкиÑı ÑĤ", + "\"../../ ../", + "ĠH um", + "Ġmov iment", + "r ating", + "Ġ\" ,", + "ĠP rom", + "ĠÑı нÑĥаÑĢи", + "as ma", + "è£ ¤", + "第 åĽĽ", + "Ġtrend s", + "ach us", + "ip h", + "ino is", + "Ġdef ines", + "l ament", + "Ġfin ance", + "Ġb inding", + "y o", + "Ġbr on", + "Ġо Ñģ", + "SS ION", + "Ġoccasion ally", + "Ġstraight forward", + "G iven", + "Ġfor ça", + "Test s", + ") })", + "Ġdiscuss ions", + "Ġas ks", + "пÑĢи л", + "nd re", + "åŁº åľ°", + "ĠU I", + "Aut o", + "th ink", + "не ÑĢ", + "ĠC SS", + "ĠR ol", + "OR Y", + "as et", + "Ġsc attering", + "çĶµ åĬ¨", + "ext ra", + "å£ ®", + "ĠM att", + "m ad", + "è¯Ń è¨Ģ", + "ign ment", + "ç»Ĩ èĥŀ", + "广 å·ŀ", + "âķIJâķIJ âķIJâķIJ", + "ct ic", + "P ool", + "ot he", + "col n", + "Ġdress ed", + "Ġt ien", + "Load er", + "ĠCh air", + "Ġtal ks", + "Ġult imate", + "ill o", + "Ġg reet", + "PI O", + "ò leg", + "Ġs oph", + "Ġpla ça", + "or f", + "д иÑı", + "Ġо кÑĤомвÑĢи", + "Ġsur ve", + "Ġtou ched", + "iment al", + "å¿ħ è¦ģ", + "Ñħ Ñĥ", + "å² ¸", + "æĿ¥ åĪ°", + "s ync", + "e h", + "ĠM ov", + "qu ant", + "Ġsav ings", + "Ġphilos ophy", + "\") ]", + "æĦı æĢĿ", + "ĠбÑĬ де", + "ĠG ro", + "Ġprint ing", + "ĠO P", + "Ġref erring", + "ĠF ord", + "å¾Ī æľī", + "Ñī иÑĤе", + "ĠS A", + "ĠPart it", + "ĠG il", + "éļ Ĩ", + "带 çĿĢ", + "éĥ½ è¦ģ", + "Ġtrad ition", + "V C", + "Ġsort s", + "çī¹åĪ« æĺ¯", + "in cre", + "åĢ ¾", + "åįģ å¹´", + "ĠT enn", + "en o", + "S ep", + "Ġп ÑĢ", + "Ġmanufacture rs", + "ĠR oss", + "Ġassum ptions", + "å±ķ 示", + "Ġj et", + "Ġcont ribut", + "Ġstret ch", + "ĠSecret ary", + "åħ¬ å¼Ģ", + "Ġdesc end", + "o vers", + "ÐIJ Щ", + "Ġlas er", + "ĠS ports", + "ãĢ į", + "c ross", + "Ġinnov ation", + "éĥ½ èĥ½", + "èIJ¥ éĶĢ", + "Ġex ponential", + "Ġext ensions", + "ĠScot land", + "è§Ħ èĮĥ", + "ĠV ic", + "Ġd w", + "Ñģ на", + "åĬ¨ ä½ľ", + "ко ла", + "ag ent", + "Ġele m", + "Ġcol ours", + "ent re", + "åħ ¼", + "ĠÑģ ÑĤе", + "Ġprec ious", + "Ġdro ve", + "Ġve z", + "Ġpublic ation", + "æ´ Ľ", + "m ock", + "Ġpres erve", + "em ic", + "éħį åIJĪ", + "Ġlimit ations", + "ĠCount ry", + "Ġt urb", + "ĠSt one", + "ount ered", + "v d", + "ĠÐĵ о", + "Ġ\" -", + "ĠW rite", + "Ġmet rics", + "Ãł ss", + "Tr ace", + "Ġnomen at", + "ä¸į çĶ¨", + "an is", + "ug ar", + "Ġvac uum", + "ĠG T", + "omet er", + "Ġs ig", + "l ace", + "Ġweek ly", + "IP T", + "Ġes per", + "ĠÐij и", + "Ġconve x", + "- )", + "Ġout standing", + "ĠCont ent", + "ĠF ern", + "меÑĢикан Ñģки", + "ourn ament", + "æĺ¯ ä»Ģä¹Ī", + "amp ion", + "Ġass ured", + "fil ename", + "å· ¡", + "ò l", + "åķ ¦", + "ĠEsp anya", + "ä¹Ł è¦ģ", + "ĠCo ast", + "ĠCirc uit", + "Ġmét odo", + "è Ŀ", + "ĠL ew", + "Ġsepar ation", + "Ġbit ter", + "Ġdi ver", + "Ġcont en", + "ĠÐŁ и", + "æľī æīĢ", + "sk y", + "ing ton", + "AM P", + "Ġcut s", + "diff erent", + "åı¯èĥ½ ä¼ļ", + "os itory", + "sub ject", + "段 æŶéĹ´", + "est re", + "M icrosoft", + "ĠJac ob", + "est iu", + "Ġsm iled", + "Ġко гаÑĤо", + "Ġcru el", + "ist ered", + "re lease", + "ç»ĵ å©ļ", + "LO CK", + "çĶŁ çī©", + "Ġval ley", + "æĺ Į", + "int on", + "认 羣", + "Ġle an", + "en abled", + "ĠBook s", + "lo od", + "J ava", + "Ġenv ironments", + "Fl ags", + "dat abase", + "Ġelect ro", + "Ġvolt ant", + "p icker", + "è¿ ģ", + "ĠG arden", + "éĹ ¹", + "S cope", + "ĠÑĦ ÑĥÑĤбо", + "eix en", + "ic iar", + "Ġr ice", + "ãĢģ ãĢĬ", + "Ġad vers", + "own er", + "ĠK at", + "Ġshould ers", + "ĠP as", + "com b", + "dp kg", + "A quest", + "Ġj untament", + "H ello", + "w ifi", + "l ined", + "ĠM it", + "è n", + "Ġdiff er", + "Ġv archar", + "Ġbeh alf", + "sh adow", + "çĪ¸ çĪ¸", + "Ġcollabor ation", + "Ġdifficult ies", + "Ġre vers", + "Ġeleg ant", + "Ġlif etime", + "B P", + "è¿ij æĹ¥", + "Ġt ie", + "е дно", + "Ġsleep ing", + "å°ı çļĦ", + "è¿ «", + "Ġsh ots", + "ĠM all", + "ĠIs lam", + "C ur", + "æ¤ Ĵ", + "om es", + "Ġll anç", + "Ġsch olar", + "Ġwa ited", + "ĠSt ock", + "èm ia", + "i able", + "åĽŀ 家", + "Ġst upid", + "ul i", + "ĠD or", + "课 ç¨ĭ", + "ле кÑģ", + "in ate", + "ĠMac Book", + "b rowser", + "éĢł åŀĭ", + "res pect", + "Ġfit ness", + "ĠN orthern", + "ç»ı çIJĨ", + "Ġh id", + "f illed", + "Ġm ud", + "Ġne ural", + "ĠD ark", + "serv ices", + "åįı è®®", + "Ġpix els", + "ĠGu ard", + "ĠнÑıко лко", + "cc cc", + "ET H", + "res et", + "j oint", + "Ġren ov", + "x es", + "Ġel abor", + "Ġthe ories", + "ine craft", + "Ġd ash", + "ĠÑİ Ð»Ð¸", + "ĠGr ant", + "Ġret ir", + "b p", + "K S", + "ock ets", + "ĠSil ver", + "friend ly", + "令 人", + "Ġl ip", + "ĠPr in", + "fl ags", + "Ġsynt ax", + "in ating", + "ĠS ym", + "к иÑı", + "Ġl umin", + "ĠкÑĢа Ñı", + "Ġreve al", + "à Ĺ", + "ĠB an", + "Ġconst ants", + "Ġ[ \"", + "f re", + "Ġstay ed", + "è¡£ æľį", + "ic ht", + "it is", + "oc he", + "Ġав гÑĥÑģÑĤ", + "ä¸ĸ 纪", + "ĠOr acle", + "ĠÑħ и", + "Ġqu iero", + "Ġsubstant ial", + "riev ed", + "æĮĩ åĩº", + "è´ ¡", + "'] )", + "Ġso vint", + "Ġb reat", + "Ġaw k", + "ĠIn put", + "is lation", + "ĠPro du", + "ist ence", + "Ġhol y", + "ymmet ric", + "Ġtod os", + "å¿ §", + "amp ed", + "Ġp aste", + "Ġrecommend ations", + "own ed", + "s pect", + "ĠCamb ridge", + "Ġb ags", + "Ġexp ense", + "Ġextra ordinary", + "Ġo ven", + "Ġp ul", + "ard ed", + "ú lt", + "D ouble", + "èĦ ¾", + "fe cha", + "ĠP ract", + "V A", + "ÃŃc ia", + "ĠCh ampions", + "Ġobten ir", + "Ġrepresent ations", + "Stat ement", + "ĠI mm", + "Ġgar age", + "Ġb att", + "Ġ} }", + "ĠReg ister", + "ä¸į çŁ¥", + "è¿ĺ èĥ½", + "ĠвÑģи Ñĩки", + "çIJĥ åijĺ", + "Ġb acter", + "Ġd ying", + "ĠJ r", + "all es", + "g overn", + "ĠD er", + "ex pect", + "ĠмÑĥ зи", + "æıIJ åīį", + "è¿Ŀ æ³ķ", + "ge red", + "se a", + "ĠL oc", + "Pl an", + "Ġa in", + "ru g", + "Ġdev oted", + "aus es", + "ĠRes ource", + "å° º", + "ĠPol ice", + "åħ¬ åĽŃ", + "Ġaff ili", + "Su ccess", + "Ġcot ton", + "is y", + "ĠÑĥнивеÑĢÑģиÑĤе ÑĤ", + "r ank", + "åī ©", + "ĠJ ob", + "çģ °", + "Ġser ia", + "å£ ģ", + "Ġbed s", + "Ġf itted", + "Ġconst itu", + "Ġconsult a", + "åĿ Ľ", + "Ġconven ience", + "æĺİ çĻ½", + "Ġlib raries", + "Ġ Ø", + "ĠRem ove", + "ĠV AR", + "Ġatt orney", + "k h", + "ore n", + "j ango", + "incip al", + "ĉ int", + "el d", + "ĠF arm", + "lim ited", + "ĠK im", + "D ER", + "Ġprot agon", + "Ġto do", + "Ġt ent", + "Ġtransport ation", + "ÐłÐ¾ дени", + "ask a", + "Ġpost er", + "ĠRad io", + "ĠU r", + "ĠC os", + "ĠмаÑĢ ÑĤ", + "Sim ple", + "Ġexpand ed", + "Ġent itled", + "ge on", + "se x", + "Ġfe cha", + "Ġdec ade", + "Ġa ston", + "Gl obal", + "Ġb ay", + "ivers ity", + "Ġsol ving", + "cons ider", + "Ġst ake", + "é»Ħ éĩij", + "ell i", + "ĠMich igan", + "èį ¡", + "Ñģ ни", + "ag ra", + "Ġign ored", + "äº ı", + "ast ed", + "Ġele ccions", + "Ġair port", + "å¿Ĺ æĦ¿", + "pro ve", + "wrap per", + "Ġcod igo", + "ко н", + "proto buf", + "Ġfeat uring", + "Ġprepar ing", + "Ġcl oth", + "Ġ ub", + "aps ed", + "к ÑĢÑĬ", + "E lements", + "l p", + "aud io", + "Ġb ull", + "ĠG ab", + "åĩº çīĪ", + "Ġ[ \\", + "Ġb one", + "ordin ate", + "称 为", + "ĠÐļ аÑĢ", + "åħ¬ å¸ĥ", + "大å¤ļ æķ°", + "Ġlo yal", + "r f", + "ÑĢи ÑģÑĤо", + "Ġflow s", + "æĬķèµĦ èĢħ", + "iv idual", + "ĠС ÐIJЩ", + "æĭ ľ", + "Ġtras ll", + "å¦ Ĩ", + "ĠPC B", + "Ġme als", + "ä» ¿", + "mo z", + "Ġsystem d", + "æľĢ 好çļĦ", + "ä¸Ģ æĿ¡", + ") -\\", + "l arg", + "Ġgu ilty", + "ç¢ °", + "her ited", + "é¢Ħ 计", + "Ġcoe fficient", + "type of", + "ĠÑİ Ð½Ð¸", + "Ġpix el", + "Ġinter vals", + "ä¾Ľ åºĶ", + "çº ł", + "con n", + "åIJ ¨", + "ĠComm unic", + "Pass word", + "N ever", + "天 æ°Ķ", + "Ġext ens", + "ii i", + "ĠF err", + "广 大", + "Ġd ense", + "Ġsp ots", + "F P", + "Ġfil ed", + "éĶĢ éĩı", + "ĠC rist", + "ĠÑĥ пÑĢав", + "ĠIS O", + "ell ite", + "Ġconst itution", + "è§Ĥ å¯Ł", + "f on", + "ak i", + "ĠEnt re", + "S pace", + "éĺ² æݧ", + "S un", + "ĠRequ est", + "Ġfac ulty", + "sem bl", + "ç»Ħ æĪIJ", + "Ġguarant eed", + "display style", + "comp at", + "Ġpredict ions", + "åħ¬åı¸ çļĦ", + "Ġhistor ic", + "Ġaff ection", + "Ġanaly ze", + "ä»į çĦ¶", + "Ġob l", + "Ġsw ing", + "Ġnecess ity", + "Reg ister", + "ĠL abor", + "Ġra ising", + "ĠLear ning", + "ĠP ur", + "Ġf aced", + "ĠP L", + "天 çļĦ", + "Ġha z", + "е мвÑĢи", + "Ġst rain", + "F eb", + "ĠS ave", + "Ġsimult aneously", + "ò nic", + "Ġc her", + "Ġenjoy ing", + "Ġaquest es", + "Ġlet ting", + "Ġ ],", + "Ġn vidia", + "æĮĩ æķ°", + "ĠVAL UES", + "Ġна миÑĢа", + "M OD", + "ĠB esides", + "Ġin duct", + "DE X", + "ier ra", + "Ġcab inet", + "åĨħ éĥ¨", + "åIJ¯ åĬ¨", + "j ack", + "Ġexpl os", + "Ġа кÑĤ", + "Ġcontinu ing", + "ç© ´", + "und o", + "ĠI E", + "ĉĉĉĉ ĉĉĉ", + "ко но", + "ĠAr g", + "T w", + "O k", + "Ġtri um", + "/ (", + "åıį åºĶ", + "Ex ternal", + "å¹¼ åĦ¿", + "p n", + "ap ar", + "Ġcry stal", + "ĠдÑĬ ÑīеÑĢ", + "Ġо ÑģÑĤÑĢо", + "Ġflo ating", + "Ġp ÅĻ", + "SS ERT", + "ĠÐĶ а", + "Ġlog ging", + "Ãłc ies", + "Ġw estern", + "Ġking dom", + "protect ed", + "om y", + "f ish", + "Ġdevelop er", + "ĠF ab", + "Ġproc és", + "Ġmove ments", + "å® ħ", + "两 人", + "Ġor bit", + "Ġmus cle", + "Ġcook ies", + "解 éĩĬ", + "Ġassign ment", + "ĠK h", + "Ġcelebr ate", + "Ġse eds", + "ĠN C", + "Ġ\" _", + "n at", + "Ġres ort", + "å°± ä¸ļ", + "Ġt ense", + "Ġdemonstr ated", + "Ġhealth care", + "м иÑĤе", + "ual s", + "åŀ ĥ", + "æ³ ª", + "æ± ģ", + "ä¹ĭéĹ´ çļĦ", + "part s", + "ĉ .", + "c u", + "ty ped", + "ĠW ind", + "ĠKing dom", + "éĩį è§Ĩ", + "Ġs atur", + "Ġmar ry", + "Ġint ense", + "Read ing", + "ни ка", + "å§ »", + "IN FO", + "åľ ¾", + "f g", + "ĠÐĵ еÑĢ", + "ĠDat abase", + "Ġна Ñĥ", + "Ġex terior", + "X ML", + "Ġsh ade", + "ĠLe on", + "Ġinstance of", + "Ġpar am", + "Ġread ily", + "åŀĥ åľ¾", + "Ġqu asi", + "ĠF eder", + "Ġа пÑĢил", + "Ġun like", + "Ġint ens", + "ĠM OS", + "è ria", + "Ġval ores", + "Ġstri king", + "表 è¾¾", + "Ġo vers", + "pro gress", + "Ġlist ener", + "çľĭ æĿ¥", + "vari ant", + "Ġequ ality", + "ĠD ouble", + "T T", + "Ġattempt ed", + "ful ness", + "(' .", + "ut at", + "åĬ¨ çī©", + "Ġbelie ves", + "ĠнаÑĩа лоÑĤо", + "Ġref ere", + "è¿ĺ åľ¨", + "д он", + "ys et", + "ĠÐIJ в", + "Ġcar rer", + "ĠM aj", + "виÑı ÑĤ", + "s ymbol", + "ĠM D", + "Pat tern", + "ra q", + "Ġsim plicity", + "Ġar ise", + "ov en", + "è· ĥ", + "де л", + "Ġfew er", + "ĠEngine ering", + "æĭ Ĵ", + "Ġdist urb", + "Ġab road", + "Ġb ash", + "over ty", + "d ialog", + "Ġcirc uits", + "ĠP ow", + "Ġdiss ip", + "Ap ple", + "ĠB us", + "Ġpri est", + "Ġf ired", + "Ð §", + "ĉ else", + "Ġw ires", + "Ġre vel", + "Ġquiet ly", + "ĠC C", + "Ġv ista", + "Ġhad n", + "Ġg host", + "//////////////// ////////////////", + "c hers", + "ĠобÑīи на", + "å®ŀ åľ¨", + "Ãłm ide", + "Ġas ync", + "Ġun es", + "y cle", + "éĿĴ å¹´", + "ä» Ķ", + "é© »", + "block List", + "m k", + "ĠM E", + "set up", + "å¢ ¨", + "h ang", + "er ver", + "L em", + "æĻ¯ åĮº", + "ĠJew ish", + "Ġw and", + "ĠM ess", + "p ic", + "Ġm ild", + "çļĦ ä¸į", + "Ġv ÃŃ", + "Ġmet all", + "Ġpartners hip", + "第ä¸Ģ 次", + "Ġcar rera", + "Ġarrang ement", + "ore r", + "ĠTra ining", + "да ÑĤ", + "ar o", + "ÑģÑĤ ÑĢи", + "ĠSpace watch", + "pre v", + "ard on", + "h adoop", + "ard ing", + "èĩ³ å°ij", + "Ġs outhern", + "Ġsepar ately", + "T ry", + "ĠФ и", + "Ġtri ple", + "Ġpack et", + "() ).", + "ÑĬ з", + "Ġre ck", + "Ġal go", + "Ġfore cast", + "Ġact ives", + "par agraph", + "Ġground s", + "co very", + "est ab", + "s ent", + "Ġart ificial", + "æı ı", + "Ġc ig", + "P or", + "ĠоÑĤ кÑĢи", + "ĠHT TP", + "Ġcom unic", + "Ġload s", + "Ġà ī", + "Ġh ack", + "ĠT ax", + "Pro xy", + "config uration", + "in os", + "è§Ĵ 度", + "Ġbrother s", + "ut y", + "Ġst unning", + "or ical", + "Ġsur faces", + "g roups", + "Ġfor b", + "éĢ Ĩ", + "å¤ļ äºĨ", + "ol y", + "il us", + "S ervices", + "é¢ľ èī²", + "St and", + "Ġn orthern", + "Trans form", + "Ġsp are", + "Ġgradu ate", + "U ND", + "æľĢ ä½³", + "Ġ ----", + "ò nica", + "H A", + "åİŁ æĿ¥", + "Seg ons", + "Ġdesenvolup ament", + "ç¨ į", + "è² Į", + "sc ription", + "Ġf art", + "ĠBro ther", + "软 件", + "ag le", + "Ġinf erior", + "ĠFor ce", + "Ġfif th", + "Ġembed ded", + "ла н", + "ĠCont roller", + "Ġpow ered", + "h appy", + "Ġcou pled", + "ĠAN Y", + "Ġfind ings", + "пÑĢе де", + "çĻ» è®°", + "Ġenc ountered", + "Ġно емвÑĢи", + "AA AA", + "m outh", + "ке мвÑĢи", + "å®ŀ éªĮ", + "ie re", + "Ġg rec", + "è®° å¾Ĺ", + "_ (", + "bu ilt", + "æŀ ª", + "ator i", + "F un", + "æĭ Ĩ", + "Ġпи Ñģа", + "Ġc md", + "æİĮ æı¡", + "âĶĢâĶĢ âĶĢâĶĢ", + "Ġot ro", + "Ġbra ve", + "et ts", + "ç± į", + "op ing", + "æµ Ļ", + "aut om", + "ĠBuild ing", + "Ġst ones", + "è¿ĺ ä¼ļ", + "Ġmol tes", + "Ġleg it", + "å¤ļ å¹´", + "fl at", + "hand ler", + "ure r", + "æ¯ı å¹´", + "an notation", + "д ÑĬÑĤ", + "hentic ation", + "Ġj Query", + "ĠAdd ress", + "Ġrel ació", + "ĠL iter", + "Ġpost ing", + "во лÑİ", + "ĠL anguage", + "ĠI ran", + "id x", + "æݨ åĩº", + "å°½ 管", + "big l", + "ä¼Ļ ä¼´", + "Ġop position", + "Ġparticip ar", + "S ync", + "ĠO lymp", + "an other", + "In ternal", + "if le", + "Ġhot els", + "t l", + "the me", + "ĠAnd erson", + "æĽ´ 好", + "am az", + "Ġsh ook", + "Ġvalid ation", + "ç½Ĺ æĸ¯", + "ÑĢа бо", + "Ġtrans mit", + "Ġб ÑĢо", + "Ġr ust", + "Ġf ake", + "ĠD one", + "Ġvend or", + "met re", + "Ġhab its", + "ell ers", + "spe ed", + "Ġf os", + "á l", + "ar ry", + "ĠCopy right", + "quest ion", + "Ġfont s", + "AT ED", + "ä¸Ń åĮ»", + "Ġscen arios", + "ĠH E", + "Ġisol ated", + "es ian", + "k u", + "ĠP ak", + "ist ing", + "Ġdel iber", + "ĠL iving", + "ва ÑĢ", + "Ġhead ers", + "as il", + "Ġpoet ry", + "га ÑĤа", + "Ġr ational", + "Ġinj uries", + "Ġgu idelines", + "Ġrend ered", + "Ġj oc", + "Ġh unt", + "Ġcan vas", + "线 ä¸Ĭ", + "st ill", + "Ġfore ach", + "åĩº æĿ¥çļĦ", + "ia h", + "éª ij", + "ĠDiv ision", + "ro v", + "}( {\\", + "Ġaccompl ished", + "ĉ m", + "Ġdis ag", + "Ġmaintain ing", + "ĠStep hen", + "Ġ iv", + "m ate", + "è¾ ī", + "d al", + "Ġd ashed", + "æ£Ģ æµĭ", + "L ove", + "ç« ¹", + "Ġgerm Ãł", + "yl van", + "ĠÑģе лоÑĤо", + "Ġacqu ire", + "Ġat tr", + "re u", + "ile y", + "Ġj ack", + "æ Ĩ", + "ĠCh annel", + "Ġspir its", + "Ġdo ctors", + "pl ane", + "Ġb ent", + "mar ks", + "æ¸ ł", + "Ġesc riure", + "ĠHol ly", + "ĠB aix", + "S ql", + "big r", + "an omen", + "ĠAm ong", + "Ġп ло", + "Ġcar pet", + "iam ond", + "Ġrepl acing", + "Ġdat abases", + "Ġstay ing", + "Ġpoint ing", + "ĠÑĢе ка", + "iss a", + "Ġго лÑı", + "sequ ently", + "Ġz ip", + "Ġrecip es", + "RO UP", + "Ġgenu ine", + "æ¡ Į", + "Ġl s", + "ro b", + "ĠAn th", + "Ġped ra", + "на л", + "w ed", + "Ġclub s", + "ĠBe ing", + "Ġre vis", + "Ġincreasing ly", + "Ev ents", + "h um", + "ä¸Ģå®ļ çļĦ", + "Ġsh apes", + "oc ar", + "s il", + "Gener ic", + "Ġocup ats", + "éļ¾ 以", + "end ers", + "ÑĪ ен", + "Ġcorre ction", + "æĸ ij", + "Ġbaix a", + "s uff", + "Ġде кемвÑĢи", + "St ud", + "Ġintel lectual", + "ĠS ound", + "å®ī è£ħ", + "Ġem bar", + "ĠVal ència", + "Ġconsist ing", + "åĪº æ¿Ģ", + "Ġc ed", + "Ðijи огÑĢаÑĦиÑı", + "ĠA ud", + "Ġg ently", + "Ġg ates", + "åĩł å¹´", + "Att ributes", + "de ep", + "Ġin verse", + "ke ep", + "è¢ ĭ", + "Ġsold ier", + "Ġsequ ences", + "att ed", + "Ġt ube", + "pe g", + "Ġprov ision", + "Ġevalu ated", + "set s", + "ä¹Ł å°±", + "es h", + "Ġvers ió", + "alg orithm", + "ĠS ales", + "r ab", + "æĸ ¤", + "pref ix", + "ü r", + "ik a", + "Ġflo od", + "ĠT ree", + "ur ches", + "Ġsc rap", + "Ġsitu ada", + "Ġst ain", + "ĠInt eg", + "err ors", + "Ġque en", + "Ġposs ibilities", + "æľŁ å¾ħ", + "lim ents", + "co q", + "ĠB urn", + "F ail", + "Ġout comes", + "Ġres idential", + "Ġindic ating", + "на ли", + "Ġmil it", + "Re al", + "èĤ ©", + "Ġdis miss", + "ens is", + "Ġdiv or", + "å¹³ æŶ", + "Ġelectric ity", + "contain s", + "åĪ¤ æĸŃ", + "Pl ugin", + "Ġqu it", + "la unch", + "ĠÑģи ÑģÑĤе", + "Ġl ifestyle", + "erc a", + "Ġch amber", + "pro gram", + "Ġres idence", + "Log ger", + "Ġse cre", + "æĢģ 度", + "e j", + "V ENT", + "ĠÐĽ о", + "Ġt ries", + "i ated", + "st orage", + "iss ues", + "æľ¬ 次", + "Ġsem pre", + "Ġstop ping", + "强 çļĦ", + "Des prés", + "游 客", + "L INE", + "Ġre cept", + "g z", + "Ġstr anger", + "åĿ ¡", + "pro fit", + "ion ic", + "Ġw ore", + "b ros", + "Ġkill ing", + "åįı ä¼ļ", + "Ġg ender", + "S uch", + "Ġgr ups", + "Ġpl ural", + "Ġobj eto", + "s ample", + "Ġпла ни", + "Ġ ul", + "Ġdifferent ly", + "Ġel der", + "Ġbl anc", + "æıIJ éĨĴ", + "W ait", + "t z", + "achus etts", + "r ass", + "ill es", + "amb ling", + "ĠP resent", + "æīĢæľī çļĦ", + "f x", + "Ġdoll ar", + "ĠG ree", + "comm it", + "Ġdr ama", + "Ñĩ о", + "Ġunder t", + "Ġespecial ment", + "æĹ¥ åŃIJ", + "ĠÑĢа й", + "ĠExecut ive", + "s pl", + "ex ternal", + "Bl ack", + "Ġs la", + "ä¸ŃåĽ½ çļĦ", + "ĠP ri", + "ĠSt ory", + "ĠS W", + "Ġvis its", + "Ġxml ns", + "ä¸ĭ åİ»", + "Ġserv ant", + "Ġbl ame", + "åIJ IJ", + "Ġprom ot", + "Ġf iber", + "з он", + "Ġprocess ed", + "ä¸ĭ äºĨ", + "Ġsubst ance", + "ĠZe aland", + "ÑĤа ли", + "ĠEx ample", + "Ġtrust ed", + "Ġrep art", + "è° ĭ", + "Com mon", + "де ÑĢ", + "Ġorder ing", + "ĠColor ado", + "åĨł åĨĽ", + "O B", + "è½ ¨", + "Hel p", + "ĠÑĤ ÑĬÑĢ", + "ĠSim on", + "æĻ ¶", + "Ġcorres pon", + "me an", + "ĠJust ice", + "av id", + "æ¢ °", + "ĠAdv anced", + "sc ar", + "ord re", + "é¸ Ł", + "ut able", + "ĠÐĵе оÑĢ", + "th row", + ")) );", + "Ġpart ly", + "! [", + "fol low", + "ç»ı åħ¸", + "æĶ¾ å¼ĥ", + "Select ed", + "L ab", + "Ġhabitat ge", + "ĠAdd itionally", + "åī ij", + "h on", + "i ot", + "Ġcas ual", + "ĠAp ache", + "ed u", + "æĿ Ĩ", + "Ġf al", + "ter y", + "她 们", + "ле ÑĤ", + "Ġcad ena", + "Ġpress ing", + "æĭ ĵ", + "n othing", + "Ġqued ar", + "Ġenerg ies", + "ÑĢÑĬ ÑĨ", + "Ġpri ze", + "in ery", + "aus ed", + "å½ĵ åīį", + "åĵª äºĽ", + "Ġan ger", + "ĠT ol", + "æĢĿ èĢĥ", + "ĠDis ney", + "per iod", + "og ram", + "Ġden omin", + "è¿Ļ ä½į", + "S ur", + "Ke ys", + "f ar", + "Ġed ats", + "Im port", + "å¿ ł", + "Ġsc ored", + "requ ency", + "C ategory", + "il o", + "Ġden oted", + "Ġs q", + "æ± Ĺ", + "Ġimag ination", + "ĠR A", + "Ġg ym", + "Ġass ass", + "Ġestab liments", + "Ġsele ccion", + "ĠTh ink", + "Ġestud is", + "Ġcount s", + "Ġstrateg ic", + "ĠB ab", + "w ave", + "æĭ Ķ", + "Ġе дно", + "Ġconst it", + "å° ĺ", + "ĠM ail", + "ĠTra vel", + "C LA", + "ĠG PU", + "æĮ ¡", + "æŃ» 亡", + "Ġencour aged", + "n or", + "T IME", + "ad ows", + "Ġs sh", + "Ġdi ameter", + "åģ ·", + "é u", + "Ġsp ell", + "Ġcomp ass", + "Ġlib erty", + "Ġag gress", + "Ġк ÑĢÑĬ", + "Ġtime out", + "Init ial", + "Ġ% }", + "çĽij çĿ£", + "Ġpep per", + "ĠMuse u", + "Ġbr ush", + "é¡ µ", + "our t", + "ĠдÑĬÑīеÑĢ Ñı", + ", ...", + "is p", + "Ġg it", + "ĠS om", + "Ġcreat ure", + "Ġc ogn", + "{ [", + "Ġnewsp aper", + "Ġ ];", + "ĠHe art", + "Ġcopy right", + "Ġconeg uda", + "Ġdiv ide", + "alse vol", + "sub mit", + "j et", + "Ġp ole", + "ĠD R", + "pack ages", + "е ÑĢа", + "Ġexpect ation", + "la h", + "ly n", + "In tern", + "Ġvis itor", + "ound ing", + "ĠCh ap", + "Ġtit les", + "èİ ±", + "R untime", + "ÑģÑĤ ÑĬÑĢ", + "Ġк Ñĥл", + "Ġscr atch", + "Ġпо л", + "Ġful fill", + "C ould", + "local host", + "Ġ{ '", + "ĠP rivate", + "åıĺ æĪIJ", + "Ġg el", + "Ġrec ol", + "A udio", + "Ġc obert", + "Ġd are", + "æĪ¿ åŃIJ", + "gener ated", + "Ġоб и", + "ĠSm art", + "' \"", + "åģļ æ³ķ", + "Ġder ive", + "Ġwith draw", + "Ġд ве", + "AN CE", + "p any", + "id ity", + "女 åŃ©", + "ĠĠĠĠĠĠ $", + "w oman", + "æ» ĭ", + "Ġceremon y", + "ĠP ast", + "Ġfill a", + "绿 èī²", + "çİ°åľ¨ çļĦ", + "æī °", + "æĽ ¼", + "éĻĦ è¿ij", + "ass ets", + "ĠP la", + "C am", + "ве де", + "ac co", + "yd ney", + "Eng lish", + "家 人", + "å¸ ħ", + "Ġar row", + "Ġ urg", + "Ġintern acional", + "åŀĭ çļĦ", + "Ġdistingu ished", + "{ \"", + "S yntax", + "Ġst ats", + "Ġh ac", + "ĠDe ath", + "Ġr anges", + "å®ļ çļĦ", + "æĦı åij³", + "con v", + "Ġc yl", + "ĠB ang", + "n m", + "Ñĥ до", + "st airs", + "he ll", + "Ġg ene", + "g iving", + "Ġexam ination", + "ur able", + "ĠFi refox", + "W ould", + "Ġes e", + "ĠA udio", + "åĨľ æ°ij", + "Ġdistingu ish", + "it Ãł", + "åįĬ å¹´", + "ÃŃc ie", + "uc ions", + "conom ia", + "at en", + "æĶ¯ æĴij", + "ÃŃ fic", + "Ġo c", + "Ġqu alsevol", + "br idge", + "Ġvol unt", + "Pro file", + "Ä ±", + "Ġstrugg ling", + "é ¬", + "ä½ĵ çİ°", + "ĠInt eger", + "det ails", + "ĠCh apter", + "Ġdi u", + "ĠBu y", + "Ġпо Ñģлед", + "ig ues", + "ar ation", + "Ġun likely", + "ĠS ong", + "éķ¿ çļĦ", + "å¹³ æĸ¹", + "id os", + "Ġinact ives", + "w iki", + "Ġf ed", + "Ġb ast", + "ĠFore st", + "OW N", + "Ġearn est", + "Ġnerv ous", + "ĠR on", + "at z", + "Ġcle ver", + "al ways", + "Ġpack ed", + "ĠY e", + "ort ion", + "ĠSum mer", + "声 éŁ³", + "ministr ació", + "ÑĦи ÑĨиал", + "ĠStud ies", + "Ġscript s", + "çļĦ åİŁåĽł", + "Ġroll ing", + "Ġoblig ed", + "Ġdecl are", + "Ġintegr ity", + "Ġsal v", + "iz za", + "å·¥ åħ·", + "Ġviol ent", + "Ġa ims", + "ile t", + "æİ¥ 触", + "ĠR ow", + "åľ¨ äºİ", + "åĸ ·", + "п еÑĢ", + "ev in", + "Ðĺ ÑģÑĤоÑĢиÑı", + "ne ed", + "å©ļ 姻", + "ĠSt atus", + "Ġmeas uring", + "() ));", + "Ġequ ilibrium", + "åħ´ 趣", + "Ġincre ment", + "ed uc", + "Ġleg islation", + "ĠS quare", + "Ġ. /", + "ve e", + "l Ãł", + "让 æĪij们", + "or igen", + "ib u", + "RE D", + "ĠSw ed", + "æĸĩ 件", + "æĬ¥ åIJį", + "Ġtim ing", + "assert Equal", + "Ġphr ases", + "Ġent ropy", + "æĹ º", + "ĠS el", + "好 äºĨ", + "Ñīе ÑģÑĤ", + "ho ok", + "t body", + "Ġdiv ine", + "J S", + "å¸Ĥ æ°ij", + "Ġdis hes", + "Ġneighb ors", + "com ponents", + "д жи", + "大 ä¼Ĺ", + "Ġb ones", + "D uration", + "对 象", + "Ġch airs", + "Ġgot ten", + "Ġident ification", + "am ic", + "ĠBr idge", + "stand ard", + "un y", + "less sim", + "Ġwere n", + "ä¸Ĭ éĿ¢", + "Ġ Å", + "Ġa lem", + "s ens", + "ĠPro p", + "Ġhost s", + "è¿ĩ çļĦ", + "he nd", + "Ġdatas heet", + "Ġdomin ant", + "ar ance", + "ID E", + "éĥ Ń", + "check box", + "nd ef", + "res pons", + "Ġanc est", + "Ġperson ality", + "ĠO s", + "ĠBer lin", + "ĠÐĽ а", + "强 è°ĥ", + "Ġphot ograp", + "Ġf ug", + "IN SEE", + "ik ing", + "Ġman agers", + "s ure", + "D iv", + "è´Łè´£ 人", + "Ġdam aged", + "ther net", + "e in", + "ir i", + "ни ÑĨа", + "Bi ografia", + "by tes", + "èĢħ çļĦ", + "ĠRe act", + "G ER", + "iz ers", + "ĠIn f", + "Ġsw ift", + "ĠConst ant", + "ĠI M", + "ĠE lement", + "èĪ °", + "Ġhypothes is", + "ĠHe aven", + "Ġvari ant", + "ĠUn ió", + "Ġpur su", + "Ġpublic ar", + "ĠT ab", + "ĠC u", + "Ġhor izon", + "at on", + "Ġcert ified", + "åĬł å¿«", + "éĢļ 常", + "Ġsh irt", + "ÑĤа ÑĢ", + "re ts", + "ĠG UI", + "met ic", + "Ġam id", + "广 举", + "к Ñģи", + "å°± æľī", + "Ġst om", + "Ġresist ors", + "Ġob ey", + "Ġme ets", + "lem n", + "n ie", + "Ġm art", + "åįİ ä¸º", + "Ġswim ming", + "up load", + "r ition", + "Ġvo ices", + "Ġarg ue", + "е ÑĢо", + "Ġwork er", + "ivers ary", + "ĠU lt", + "Ġmyst ery", + "å±± 举", + "æ¼Ķ åijĺ", + "Ġf lesh", + "hor izontal", + "ç© ·", + "è½» æĿ¾", + "orig in", + "ĠTerm inal", + "ĠO il", + "è¯Ħ ä»·", + "举 åĬŀ", + "Ġtransform er", + "å§ĭ ç»Ī", + "Ġd ont", + "Ġindiv id", + "Ġdiagram a", + "Ġrec uper", + "çļĦ åIJĮæŶ", + "Ġcontact s", + "it err", + "ĠG a", + "Ġcur v", + "ab ove", + "æĦŁ æŁĵ", + "osp el", + "clud ing", + "pro ps", + "om er", + "w ick", + "Ġconcent ration", + "ç² Ĺ", + "Ġrid ic", + "ck er", + "çķ ª", + "ĠÑģе веÑĢ", + "y ect", + "æľŁ çļĦ", + "ĠSh are", + "Ġhop ed", + "Sc roll", + "æĵ ¦", + "å¡ «", + "Ġch ips", + "ĠAn na", + "h ou", + "\"# \"", + "Ġcar rier", + "ĠPl ant", + "é r", + "w ild", + "L at", + "< >", + "C ard", + "ĠAp pendix", + "Ġn ost", + "Ġlift ed", + "å°Ĩ ä¼ļ", + "tr ace", + "è£ Ĥ", + "Ġbur den", + "M ill", + "æ¦Ĥ 念", + "Ġrandom ly", + "and id", + "Ġв Ñģе", + "Ġdel icate", + "åĭ Ĵ", + "Ġcross ing", + "Ġok ay", + "H aving", + "tr igger", + "\\ )", + "çĤ¹ åĩ»", + "æĪIJ çĨŁ", + "åŃ ¤", + "ĠEvery thing", + "Ġdise ases", + "Ġens ures", + "Ġtow er", + "ph ia", + "éĶĻ 误", + "Ġt ile", + "Ġchild hood", + "人 士", + "Ġun e", + "Ġcre u", + "æĪ¿ å±ĭ", + "s chool", + "Ġi o", + "t c", + "ĠBr ad", + "Ġad jective", + "ĠGeorg ia", + "Ġsu ite", + "æľº åĻ¨", + "Ġem ails", + "Ġexception al", + "ĠT er", + "semb led", + "Ġbo ats", + "e u", + "Ġpet it", + "anc ell", + "bre w", + "Ġmight y", + "Ġacqu is", + "ĠÑģемей ÑģÑĤво", + "ĠH al", + "Ġsens ors", + "ĠLond res", + "ĠLem mon", + "Ġchar m", + "view s", + "Ġr ic", + "п ан", + "Ġnot ification", + "Ġreg ards", + "æįŁ 失", + "ĠT otal", + "ĠP or", + "äºĮ åįģ", + "ĠAlex ander", + "key word", + "nt il", + "Ġs ÃŃ", + "Ġsac red", + "åħĪ è¿Ľ", + "ä¼ ¯", + "æĪij æĥ³", + "ĠLin coln", + "le cció", + "bo ost", + "Ġnew er", + "Ġs ne", + "Ġto oth", + "equ ence", + "ser ies", + "ĠFil m", + "Ġt ale", + "Ġsoon er", + "çĵ ¦", + "иÑĤе ли", + "Ġsh orter", + "éĺ³ åħī", + "Ġtut orial", + "ph y", + "Ġattempt ing", + "Ġconfigur ations", + "å¤ļ 个", + "Ġcomp aring", + "Ġreg ret", + "ĠN AS", + "м оÑĢ", + "çľĭ èµ·æĿ¥", + "Ġconver ter", + "Ġport al", + "ĠDav is", + "ĠE ric", + "ug gest", + "Ġaccording ly", + "ÑĤÑĥ ÑĢа", + "sv g", + "ĠOther wise", + "Ġexhib it", + "å¥ ı", + "li est", + "Ġenv iar", + "ĠD M", + "å®ĺ æĸ¹", + "re ement", + "èĻ «", + "d ic", + "N ombre", + "ĠN AME", + "ĠS ov", + "æı Ĵ", + "æ²Ł éĢļ", + "ĠInst agram", + "Ġl on", + "åĩ Ŀ", + "AL SE", + "Ġpur ple", + "Ġtrans f", + "Ġh ierarch", + "åħ· å¤ĩ", + "çĽ ¾", + "ĉ _", + "ur ia", + "Ġprem i", + "Ġtext o", + "Ġimag en", + "ĠPack age", + "ĠM ade", + "}{ (", + "åĩº åİ»", + "Å į", + "ĠMark eting", + "b age", + "Ġcool ing", + "Ġentre prene", + "Ġemphas is", + "Ġfle et", + "Ġre q", + "Ġgrav it", + "Ġst roke", + "p ages", + "Ġtravel ing", + "ĠFin ancial", + "Ġdis cret", + "M aster", + "Ġvac c", + "Ġinv ari", + "Ġtract a", + "Ġhe aling", + "ĠÑĢаз ви", + "Ġdim ensional", + "Ġf t", + "çī ¢", + "ĠI L", + "Ġadj acent", + " ½", + "åIJį åŃĹ", + "Ġgrow s", + "Ġf atal", + "Ġна ÑĨиона", + "æŃ£ æĺ¯", + "èµ ĸ", + "绣 计", + "ĠDis play", + "Ġdepos it", + "Ġpen et", + "Ġt ons", + "æĤ Ł", + "Ġsche mes", + "ĠH ug", + "Ġworks hop", + "æĭħ å¿ĥ", + "Ġgener ous", + "on ed", + "Ġp df", + "Ġin ev", + "ç»Ļ äºĪ", + "Ġal ike", + "Ġport folio", + "r us", + "Ġelect ed", + "Ġcon cluded", + "Ġgraph ic", + "script style", + "æķĪ çİĩ", + "Ġincred ibly", + "ĠE ffect", + "lib rary", + "Ġmunicip is", + "Ï Ģ", + "Ġch a", + "xx xx", + "ĠÑĤе Ñħ", + "cl ine", + "Ġret ired", + "æĮij æĪĺ", + "å± ¥", + "ĠO FF", + "Ġcar p", + "ĠD NS", + "Ġpart ially", + "ical s", + "ors hip", + "Ġph ases", + "pro xy", + "é¢Ħ éĺ²", + "Ġnom bros", + "Ġsens itivity", + "å¹ »", + "ĠÐķ вÑĢо", + "Ġrel ating", + "L IC", + "çļĦ ä¸ľè¥¿", + "w riter", + "æĢĿ ç»´", + "ĠG ive", + "do es", + "Ġcur tain", + "Ġroll ed", + "ON G", + "Ġcur ios", + "ĉ} );", + "R oute", + "Ġc d", + "Ġun cle", + "+ $", + "ent e", + "Ġre ception", + "ĠR ights", + "Ġbound aries", + "Ġcent ers", + "Ġinter mediate", + "Ġvir us", + "ĠH ong", + "ев ÑĢÑĥ", + "P rem", + "æľ¬ 人", + "Ġqual ities", + "ç² ®", + "-------- --", + "Ġproject e", + "ÑĤи в", + "ĠH ash", + "ac ht", + "ä¸Ĭ åįĩ", + "ĉ (", + "Ġanal ys", + "Ñī иÑı", + "Ġphys ically", + "qu al", + "Mat rix", + "Ġpass ive", + "Ġl y", + "G EN", + "Ġb ills", + "}{ }", + "M IN", + "B re", + "ĠD esc", + "Ġno v", + "ĠPar liament", + "èħ º", + "åįĥ ä¸ĩ", + "ĠполÑĥ Ñĩава", + "Ġob sc", + "support ed", + "Ġes cal", + "Ġpa ïsos", + "Pro of", + "ov o", + "è¿ĺ åı¯ä»¥", + "饮 é£Ł", + "Ġfold ers", + "å§ ¿", + "m ers", + "Ġк ÑĢи", + "ĠBra zil", + "Ġweak ness", + "Ġcompens ation", + "Ġиз пÑĬл", + "æ°ij èѦ", + "ut t", + "ex èrcit", + "Î »", + "è¡ °", + "ad u", + "d in", + "Ġlist ened", + "Ġhand led", + "irc raft", + "f lex", + "ĠM ust", + "Ġ' ,", + "Ġt ens", + "Ġrestrict ions", + "avel ength", + "por ter", + "Ġp is", + "Ġhead ing", + "p ull", + "ĠH ou", + "æIJ º", + "Ġк ни", + "ĠMem ory", + "лÑı ÑĤ", + "Ġfaç ana", + "els on", + "Ġhy brid", + "Ġimport ants", + "æĴ ŀ", + "~~~~ ~~~~", + "i ations", + "Ġdist inction", + "Ġbur ied", + "ä¾Ŀ æ³ķ", + "Ġloc als", + "Ġpro por", + "Ġst ations", + "ul pt", + "F inal", + "we ek", + "æij ¸", + "æĺ¾ å¾Ĺ", + "th r", + "ĠM ember", + "adel phia", + "ic ana", + "Ġblock ed", + "ĠD est", + "Ġw re", + "Ġspl end", + "Ġa str", + "sh ared", + "Ġfinal ment", + "ect ed", + "è¿Ļ å°±æĺ¯", + "евÑĢÑĥ аÑĢи", + "M ad", + "ĠA venue", + "ä¹ĭ ä¸Ń", + "èĸ ª", + "åĩ Į", + "Ġbe gg", + "è¿ Ł", + "ĠM ort", + "; /", + "adv ant", + "R T", + "ï¼ Į", + "Ġcur rency", + "Ġmer ge", + "h yd", + "st eps", + "çĶŁ ç´ł", + "Ġconstru ir", + "Ġsin ó", + "Y Y", + "Ass oci", + "met adata", + "Ġvent ure", + "orn s", + "M er", + "ÃŃst ic", + "est ions", + "b ian", + "Ġaffect s", + "çĺ ¦", + "å¾Ī å¿«", + "Ġse am", + "ĠDes ktop", + "ĠY OU", + "Ġsm ell", + "å¤ļ 次", + "Ġf irms", + "æľī ä»Ģä¹Ī", + "Ġinj ured", + "Ġdecom position", + "O UR", + "ĠUn ity", + "Ġel igible", + "å¸Ĥåľº çļĦ", + "Ġf n", + "Ġ Ñīе", + "Ġkn ife", + "Ġso b", + "Th rough", + "ĠT ODO", + "ur bed", + "Ġemot ions", + "ĠAn alysis", + "Ġmort gage", + "æ· ĺ", + "Sum mary", + "Ġl ang", + "Ġr ings", + "ĠSt op", + "Ġro de", + "è poca", + "æĻ Ĵ", + "Ġoccas ions", + "Ġk il", + "Ġman ifold", + "ĠQu an", + "ĠIN T", + "an ia", + "h box", + "ĠгÑĢа да", + "pro c", + "B Y", + "Ġcatal ans", + "åľ° ä½į", + "ĠM erc", + "aj a", + "er land", + "Ġju ice", + "Ġland s", + "éĹ ª", + "ĠM aterial", + "Ġw ifi", + "Ġman us", + "æ¤į çī©", + "Ġw ounded", + "int el", + "I AL", + "; }", + "ĠB uff", + "fe ction", + "un ique", + "å¤į æĿĤ", + "Ġmole cular", + "hes is", + "æĿ Ń", + "ax y", + "Ġh unting", + "éĤ ®", + "ä¸Ģ åIJį", + "Ġinter active", + "Ġam p", + "cre ated", + "Ġ( [", + "Ġfre ely", + "ing ham", + "ĠDet ails", + "Ġampl ifier", + ". \\\\", + "E uropa", + "W I", + "使 å¾Ĺ", + "Ġseu a", + "éļı åIJİ", + "Ġsl ide", + "Ġindic ator", + "Ġph ones", + "Ġle mma", + "ĠN ic", + "æľī å¾Īå¤ļ", + "Ag ent", + "Ġl ing", + "l on", + "ho le", + "s quare", + "Ġsegü ents", + "иÑĤеÑĢаÑĤ ÑĥÑĢа", + "Ġsustain able", + "å® ı", + "éĤ Ģ", + "ĠI ss", + "Ġr us", + "Ġshort ly", + "Ġfriend ship", + "Ġprint f", + "n atural", + "Pobl acions", + "ĠC reek", + "Ġclass ificació", + "Ġag rÃŃ", + "ĠPC I", + "Ġvol umes", + "è·¯ ä¸Ĭ", + "ĠS ale", + "Ġp oker", + "ur ious", + "ĠCons ult", + "re ction", + "ĠBr and", + "ĠÐĵ а", + "Ġbat alla", + "ac r", + "å½ĵ ä¸Ń", + "ç² Ĵ", + "Ġpre st", + "ĠJ oh", + "Ġpre ndre", + "ylvan ia", + "ÑĦ а", + "mem ory", + "am pl", + "ex c", + "Ġphot ography", + "åģļ çļĦ", + "Ġret reat", + "Ġupd ating", + "po ch", + "Ġпо веÑĩе", + "çĬ¶ åĨµ", + "Ġadv is", + "ĠS U", + "ĠAn ne", + "çĶµ èĦij", + "Ġan chor", + "éĺŁ ä¼į", + "èŀį èµĦ", + "å¾ Ĵ", + "Ġriv al", + "ĠC F", + "åľ¨ è¿Ļ个", + "ex pr", + "ĠPh oto", + ", ,", + "Ġl ately", + "åľ¨ è¿ĻéĩĮ", + "Ġdetect or", + "Ġat ac", + "res ources", + "pt ic", + "Ġbright ness", + "Ġover view", + "å¤ļ ç§į", + "Ġmid st", + "Ġr ush", + "ĠH art", + "з ваÑĤ", + "ĠR ic", + "h ind", + "Ġgen ius", + "Ġsubsc ription", + "Ġcon secut", + "re lation", + "H OME", + "ass a", + "s ources", + "ĠPen ns", + "sp ot", + "Ġad s", + "Ġest ren", + "B et", + "a id", + "Ġre aches", + "Ġpl acing", + "Not Null", + "riz ona", + "Ġo tra", + "ĠB art", + "Ġs orrow", + "ĠAct ive", + "Ġce iling", + "欧 æ´²", + "og ue", + "ĠR ib", + "ĠIns urance", + "ĠMill er", + "Ġextract ed", + "д ва", + "åħ Ħ", + "ĠÑĦ евÑĢÑĥаÑĢи", + "ĠÐł и", + "TE XT", + "ĠDie go", + "Ġfru its", + "Ġt anc", + "Ġillustr ated", + "Ġc rop", + "ä¸į å¦Ĥ", + "iter ator", + "i ota", + "ph an", + "Ġll at", + "Ġte atre", + "Ġderiv ative", + "çļĦ ä½ľçĶ¨", + "Ġmin eral", + "Ġdest ruction", + "ap or", + "n ut", + "ĠC P", + "Not es", + "æİĴ åIJį", + "ÑģÑĤÑĬ п", + "ĠD utch", + "Eng ine", + "ĠAr thur", + "Ġs ang", + "Ġsubt le", + "æ° ı", + "Ġste ep", + "ie ur", + "Ġp ause", + "Ġloc ate", + "B ased", + "Ġind ices", + "lib s", + "at el", + "Ġor b", + "ĠRem ember", + "Ġf ought", + "ĠR F", + "Ġfaith ful", + "b matrix", + "Ġconvinc ed", + "Ġtim er", + "Ġa j", + "Ġvari ance", + "æĶ¶ çĽĬ", + "iv os", + "å°ı åĮº", + "ĠA le", + "èĪĴ éĢĤ", + "ĠF ast", + "ident ifier", + "Ġindust ries", + "ap is", + "Ġutil ize", + "Ġn est", + "Ġy o", + "ORD ER", + "ĠD ir", + "Ġliter ary", + "è¸ ı", + "Per haps", + "Mult i", + "u h", + "Ġcar re", + "Ġrec overed", + "]. [", + "Ġrob ot", + "H ub", + ") }_{", + "ĠStud ents", + "C r", + "ç¢ į", + "Ġdiv id", + "çļĦæĥħåĨµ ä¸ĭ", + "Ġpra ise", + "主 å¸Ń", + "Ġreflect ed", + "Ġbenef icial", + "п ÑĢÑĥ", + "Ġde man", + "人æ°ij å¸ģ", + "Ġthere by", + "å¤ĸ è§Ĥ", + "Ġprom inent", + "Ġaff air", + "Ġfra ud", + "ers hip", + "D im", + "Ġout line", + "èĽĭ çĻ½", + "è´« åĽ°", + "Ġmist akes", + "Ġd ret", + "ĠComput er", + "AC H", + "L D", + "ri en", + "Ġsmall est", + "ма ÑĤ", + "å¾® åįļ", + "åį± éĻ©", + "ä¼ĺ è´¨", + "out ing", + "åIJĦ åľ°", + "Ġsem bl", + "Ġus ando", + "Ñĩ ниÑĤе", + "ugh ter", + "Ġton ight", + "ĠE astern", + "Ġapprox imate", + "re ng", + "Ġc Ãł", + "Ġact ors", + "Ġlaugh ing", + "å²Ĺ ä½į", + "Sh ort", + "loc ks", + "vol ume", + "ĠU E", + "Ġf isc", + "Ġcomm ut", + "b rief", + "Ġowners hip", + "åħ¨ æĸ°", + "ie v", + "çĪ ½", + "f etch", + "Ġj s", + "fl ag", + "cont act", + "Ġ\" .", + "ĠP i", + "Ġrest ored", + "нÑı ва", + "Ġefficient ly", + "ĠO UT", + "Ġth umb", + "* ,", + "C reat", + "O ld", + "Ġdirig ida", + "Ġtreat ments", + "Ġcan onical", + "夫 妻", + "Ġb ases", + "ĠT reat", + "Pe ople", + "it ious", + "t frac", + "ĉ t", + "D isk", + "av all", + "òp ia", + "Ġdis order", + "éĻIJ åĪ¶", + "N P", + "èį ·", + "ÑģÑĤа вÑı", + "ess in", + "å½ ¼", + "Ġdiag onal", + "ç»´ æĬ¤", + "åıij 表", + "Est at", + "M ath", + "ĠR ússia", + "empt yset", + "Ġcy cles", + "人æ°ij æ³ķéĻ¢", + "l oss", + "ä¸Ģ ä½ĵ", + "女 士", + "A E", + "ens aje", + "к ло", + "}[ \\", + "Rel ated", + "ĠF is", + "Ġtrasll ad", + "et al", + "Ġveget ables", + "Ġball s", + "Ġ{ \"", + "éľ ¸", + "Ġaw ful", + "check ed", + "ĠG ib", + "Ġsp here", + "ut her", + "re pository", + "get Name", + "Ġus eless", + "ĠE RR", + "Ġresc ue", + "Ġp ist", + "ĠC ra", + "Ġt act", + "Ġg rain", + "Ġrece ives", + "w riting", + "æĭį æijĦ", + "æĪ¿ åľ°äº§", + "Event Listener", + "Ġsp ray", + "ĠB IOS", + "bl ank", + "O C", + "Ġun w", + "Ġw ing", + "Ñĩе в", + "Ġw ider", + "åħ¬ ä¼Ĺ", + "Ġpref erence", + "Ġform ing", + "ĠArray List", + "ap ore", + "Ġorient ation", + "web pack", + "жа ва", + "Ġmon op", + "Ġt unn", + "æ´ ª", + "污 æŁĵ", + "Ġpro be", + "Ġarrest ed", + "ĠD ream", + "æķĻ æİĪ", + "Ġpor que", + "Ġmat ched", + "Ġconsist ently", + "D IS", + "f b", + "ĠM oh", + ",\\ \\", + "Ġenthus i", + "Ġiter ation", + "Ġj ap", + "Ġt ear", + "Ġexhib ition", + "éĿ¢ 临", + "åĽŀ åĪ°", + "çļĦ ç¾İ", + "ĠMad ame", + "èĢģ æĿ¿", + "Ġtrans c", + "ĠD a", + "ä¼ ı", + "ĠÐĺ н", + "ла го", + "人 åľ¨", + "å¹² åĩĢ", + "on z", + "ĠM ari", + "ĠGold en", + "Ġsett lement", + "Ġembed ding", + "Ġg aming", + "usal em", + "ĠÑģ ÑĤи", + "Ġcelebr ated", + "ĠÑĤа зи", + "Ġal ias", + "ĠG ets", + "ĠV il", + "T ip", + "ĠP el", + "åħ¶ å®ĥ", + "æĬ ij", + "å¹´ 度", + "æ° Ľ", + "è¿IJ è¾ĵ", + "åIJ ¹", + "riv en", + "Ġdesign ing", + "pe are", + "Ġform ats", + "Ġf ert", + "æŁ ±", + "ĠСе веÑĢ", + "级 åĪ«", + "ass oci", + "fig ures", + "Ġtown s", + "Par se", + "Ġst iff", + "Ġw ings", + "n il", + "Ñģ Ñĥ", + "ol en", + "» ,", + "det ail", + "lo pe", + "Ġm d", + "M s", + "Ġt ends", + "col lection", + "US B", + "Ġcos m", + "Are a", + "U na", + "Ġv ic", + "太 éĺ³", + "ure tat", + "Ġcir cles", + "Ġpr Ãłct", + "Ġprov isions", + "ĠÑĢабо ÑĤи", + "Ġelimin ate", + "H ence", + "Ġre ven", + "Ġacab ar", + "ĠĠĠĠĠ |", + "Ġelement o", + "Ġincl o", + "Ñİ Ð·", + "èµ° åĬ¿", + "---- --", + "ob re", + "Ex ecut", + "tr im", + "ĠRe lease", + "Com pat", + "Ġpref erences", + "Ġlo ops", + "Ġaccord ance", + "Ġdeterm ination", + "ro ck", + "ĠB ased", + "Ġalg un", + "ph ase", + "B T", + "ĠH ub", + "}} .", + "v ÄĽ", + "h ill", + "F act", + "Ġsche matic", + "Ġn ens", + "Ġ ug", + "å¸ĥ å±Ģ", + "é¥ ±", + "enc il", + "ĠLear n", + "éĥ½ 没æľī", + "Ġaccess ories", + "ĠMOS FET", + "Iter ator", + "Ġwor ried", + "col lect", + "ĠP in", + "éĥ ģ", + "Ġexha ust", + "ä¸Ĭ åįĪ", + "pl oad", + "Ġwr apped", + "g is", + "}\\ }", + "Ġза едно", + "ли й", + "Ġmagn ific", + "re ls", + "ex press", + "ar reg", + "èµĦ æł¼", + "Ġsab er", + "人 åı£", + "Ġens uring", + "H ope", + "Ġresult ed", + "Ġbless ed", + "Ġcon vention", + "ĠC it", + "ĠD ol", + "Ġpr icing", + "M apping", + "al one", + "P od", + "宣 å¸ĥ", + "More over", + "Ġc ic", + "}} _{\\", + "ä¹Ł åľ¨", + "é e", + "sh ire", + "åĶ¯ ä¸Ģ", + "sl ash", + "Ġdeix ar", + "ens us", + "vel ope", + "cy cle", + "amb i", + "ÃŃ lia", + "Ġw ins", + "Ġpros per", + "ĠO ri", + "vari able", + "Ġvess els", + "Ġcompl iment", + "åİŁ æĸĩ", + "script size", + "Ġinst inct", + "OR K", + "Ġapare ix", + "é«ĺ 度", + "пÑĢо ÑģÑĤÑĢа", + "r ays", + "Ġspeak s", + "W HERE", + "Ġloc ks", + "ĠSt ation", + "ĠGall ery", + "Ġle ak", + "RE G", + "ĠвÑĬÑĢ ÑħÑĥ", + "Ġshe ep", + "ĠP aper", + "еÑĢ ман", + "ĠÐĽ е", + "Ġimpress ed", + "sh ine", + "ä¸ĭ è·Į", + "é© °", + "æ® ĸ", + "roll ers", + "èĩ³ äºİ", + "ĠĠĠĠĠ <", + "Ġenh anced", + "Ġch ampions", + "Ġcap ability", + "ĠV II", + "pol icy", + "Rep ository", + "off ice", + "at oes", + "Ġclos est", + "Ġinvent ory", + "ĠA DC", + "Ġne at", + "pro vider", + "^+ $", + "t own", + "ĠMass achusetts", + "Ġover flow", + "Ġsec ured", + "б ÑĢи", + "çļĦ 主", + "Ġdir ty", + "ĠA k", + "Ġgram mar", + "S ol", + "ĠCast ell", + "er os", + "t ow", + "ĠO wn", + "A rm", + "ĠMem bers", + "Ġr g", + "éĺ² æŃ¢", + "Ġelectr ons", + "ä¹Ł èĥ½", + "un ter", + "Ġper pet", + "D ig", + "ĠSeg ona", + "am on", + "Ġs ends", + "Ġres erve", + "Ġdemand ed", + "Ġfe as", + "A ST", + "ic it", + "ĠQu ick", + "æѤ æŶ", + "ĠMan uel", + "纷 纷", + "è§Ĵ èī²", + "Sing le", + "S ocket", + "Ġpo em", + "Ġsm iling", + "ä¿Ħ ç½Ĺæĸ¯", + "ĠоÑģно ва", + "Ġaltern atives", + "æĪIJ åijĺ", + "Ġb ore", + "Ġ$ Ġ", + "æīĭ 段", + "Ġrom antic", + "Ġf erm", + "qü ència", + "fin ite", + "ĠĠĠ $", + "Ġpe er", + "az e", + "Ġtre asure", + "ĠSar ah", + "CO MP", + "Ġenorm ous", + "对 æīĭ", + "riv acy", + "c ounter", + "Ġin ject", + "Ġdisappe ared", + "be an", + "Ġil legal", + "') );", + "Ġar med", + "ag an", + "Ġsett le", + "Ġchar set", + "Ġim plied", + "è dia", + "W H", + "Ġsol s", + "M Hz", + "Ġhead ed", + "Ġc arg", + "Ġhor ror", + "Ġmer ch", + ". (", + "C ast", + " ¿", + "çIJĨ æĥ³", + "ail ing", + "æĢ» ç»ĵ", + "Ġp ig", + "led g", + "Ġcam ps", + "AV E", + "Ġtro ben", + "ut ats", + "ĠÑĢе волÑİ", + "æĦıåij³ çĿĢ", + "W orld", + "uck et", + "по ÑĢед", + "ÑĢа не", + "S erv", + "Ġима ÑĤ", + "Ġd ad", + "Ġobt ener", + "è´¡ çĮ®", + "æij ĩ", + "prec ated", + "log ger", + "ĠWe bsite", + "ĠÑħ а", + "ĠL en", + "ĠP ok", + "Ġliter al", + "Vol ume", + "d ings", + "ĠSup pose", + "d irection", + "Ġde ber", + "Fr agment", + "ateg ories", + "ĠPol it", + "ex e", + "Child ren", + "el ves", + "Ġref resh", + "E mail", + "ĠG arc", + "ord on", + "s r", + "Ġim plicit", + "ad ium", + "Ġpo ison", + "ç¢ Ĺ", + "Po inter", + "å°½ éĩı", + "typed ef", + "Ġeng ines", + "Ġ=== Ġ", + "ĠAix ò", + "Ġm g", + "Ġal i", + "èŀį åIJĪ", + "æŶ åĪ»", + "th rows", + "Ġpenal ty", + "ĠS ho", + "sh a", + "st ock", + "A li", + "w p", + "fun ctions", + "Ġst raw", + "Ġg rief", + "ĠQ uality", + "col lapse", + "ĠCl in", + "() \"", + "Ġdefin ite", + "æĤ ¬", + "è¿Ļ 两", + "Ġterr itory", + "ĠÑģ Ñĥ", + "Ġshe d", + "Ġthrow ing", + "èĤ¡ 举", + "inn ed", + "olog ist", + "å°ij å¹´", + "Ġlab our", + "ac ular", + "Ġв ÑĢÑĬ", + "èĥ ĸ", + "ĠK enn", + "%% %%", + "c atch", + "ĠFred er", + "Ġ\\ ]", + "ĠкÑĢа л", + "ució n", + "ĠĠĠĠĠĠĠ |", + "Ġmitj ana", + "ĠV iet", + "Ġrel ate", + "ĠÑĤ ÑĢе", + "ĠS ay", + "гÑĢа д", + "om ed", + "й ÑĤ", + "èĩª 主", + "Ġflex ibility", + "T om", + "ĠT ool", + "ĠMedic ine", + "ĠD aily", + "ĠÑģ вÑĬÑĢ", + "UP DATE", + "ĠOut put", + "I Z", + "ä¸Ģ åľº", + "мен ÑĤ", + "h ref", + "ĠE uropa", + "ĠÐł аз", + "å¾· åĽ½", + "Ġsim ilarly", + "Con struct", + "ou ri", + "ott age", + "ä½ ©", + "ĠA ge", + "Look ing", + "Ġaward ed", + "常 è§ģ", + "ar ra", + "é¬ ¼", + "Ġch op", + "L in", + "ÃŃ as", + "ĠK itchen", + "T Y", + "温 度", + "Ġop acity", + "ibli ot", + "tikz picture", + "Ġgaire bé", + "ueix en", + "F low", + "ĠE asy", + "Ġseg ments", + "Ġgather ing", + "æĭ ĸ", + "er ç", + "gu ard", + "åĮ Ģ", + "Ġjew el", + "æĺ¯ æľī", + "G P", + "Ġconcent r", + "Ġconsist ency", + "ĠL ion", + "çī µ", + "ĠÐĴ ели", + "Ġactual ment", + "Ġalg una", + "Ġanten na", + "ĠA st", + "è£ħ å¤ĩ", + "Ġas leep", + "Ñĩ наÑĤа", + "Ġstep ped", + "Ġ\\ (\\", + "Ġfisc als", + "æ¼ ı", + "Ġshe ets", + "ĠÑĢе з", + "çħ ¤", + "Ġmut ual", + "åij³ éģĵ", + "Ġdivers ity", + "ĠCustom er", + "F ore", + "ist re", + "Ġcomput ational", + "Ġd ull", + "ĠN eg", + "Ġt mp", + "Vari able", + "rop ic", + "Ġd uc", + "ĠB arn", + "ĠE D", + "èĢĮ åľ¨", + "all as", + "Ġretire ment", + "çļĦ æĦŁè§ī", + "P ut", + "atter y", + "Ġrec ycl", + "çº µ", + "Ġл а", + "ĠD ead", + "д ÑĢа", + "Ġcomb inations", + "ĠCol onel", + "P ower", + "Ġvict ims", + "Ġt issue", + "人 çī©", + "ÑģÑĤви е", + "à į", + "Res ources", + "t age", + "Pro tocol", + "br and", + "Ad min", + "L inux", + "D river", + "Ġsc ream", + "ÑĢи ÑģÑĤ", + "form ing", + "ar ms", + "d n", + "bu ilder", + "ä¸ Ī", + "Ġconnect or", + "p ip", + "äº ķ", + "人 å·¥", + "Ġdi ab", + "Ġed ició", + "ï »", + "ĠO ak", + "ĠH op", + "飩 åĽ½", + "ĠÑĢе ги", + "ĠAr duino", + "ĠmÃł xim", + "Ġfirm ware", + "g row", + "æ¶ī åıĬ", + "æĦŁ è°¢", + "æĸ¹éĿ¢ çļĦ", + "Ġs lic", + "çĥ Ĥ", + "c ant", + "Ġpure ly", + "Ġpick ing", + "æĤ ¦", + "Ġprincipal ment", + "Ġfarm ers", + "ä¼ĺ æĥł", + "Ñ ĸ", + "æѦ æ±ī", + "ä¹Ł å¾Ī", + "Sup pose", + "ĠпÑĢа ви", + "ĠFr ame", + "ĠP erm", + "ни ма", + "Ġso lemn", + ">> >", + "Ġpat ri", + "ĠP u", + "ĠпÑĢе в", + "ĠA wards", + "ÐŁ ÑĢо", + "th s", + "Ġnot able", + "Ġassist ant", + "Ġb ree", + "èī¯ 好çļĦ", + "åĩº åı£", + "Ġsent iment", + "Ġind irect", + "足 å¤Ł", + "j an", + "Ġhost ed", + "ĠW at", + "æ¢ ¯", + "IM IT", + "M AN", + "Ġis lands", + "ri vers", + "ĠAp ply", + "梦 æĥ³", + "Ġdig it", + "u etooth", + "det erm", + "Ġc ient", + "ĉĉĉĉ ĉĉĉĉ<", + "St ar", + "ĠPerson al", + "Ġexpect ing", + "riv ed", + "ä¾ĭ å¦Ĥ", + "Ġarch ive", + "Ġass ol", + "å·¥ä½ľ 人åijĺ", + "Ġin herit", + "m ates", + "ĠAl ice", + "Back ground", + "çĶŁæ´» ä¸Ń", + "U LE", + "ĠPop ular", + "and re", + "SC R", + "Ġespany ola", + "ĠÑĤе зи", + "L IN", + "ä¼ļ ä¸Ĭ", + "Ġsc ulpt", + "Ġto ss", + "un ks", + "ific ally", + "m ouse", + "tic ally", + "ĠÐij е", + "Ġbrief ly", + "she et", + "g ive", + "ĠÑħ ÑĢа", + "br as", + "Ġm os", + "Ġins pect", + "è®° å¿Ĩ", + "EE E", + "Ġfart her", + "ĠAl tern", + "iam i", + "Ġsurv ive", + "Ġamb ient", + "ĠO ptions", + "ĠM Hz", + "con duct", + "ĠAir port", + "Ġfif teen", + "Ġin sect", + "cl uster", + "Ġsuperf ÃŃcie", + "Ġcar ries", + "Ġel la", + "çļĦ éĤ£", + "CT YPE", + "Ġp overty", + "ĠAdministr ation", + "sc ribe", + "Ãłt iques", + "Ġwal ks", + "å¼ķ 导", + "b ie", + "Ġw it", + "Ġdelight ed", + "V R", + "Ġpurch asing", + "Ġexam ined", + "ag netic", + "Ġbas eline", + "Ġw ound", + "Ġst em", + "Ġkne e", + "Ġse asons", + "um ption", + "ĠAl bert", + "Ġthread s", + "Ġcurrent s", + "su v", + "assert Equals", + "çļĦ åīį", + "éŃ Ĥ", + "{ *", + "Ġf on", + "Ġlike wise", + "æĮĩ æłĩ", + "çĶµ æ±ł", + "Ġn éixer", + "is ons", + "åħ¬ è·¯", + "ust ral", + "Ġdist ances", + "ĠK ong", + "é¼ĵ åĬ±", + "Ġv ine", + "å§Ķåijĺ ä¼ļ", + "ĠT ony", + "ĠC M", + "åĩ ¤", + "Ġr aces", + "æĶ¾ åħ¥", + "Ġprincip is", + "}\\ ,\\", + "ï» ¿", + "Ġc ort", + "Ġ é", + "Ġchar ity", + "Ġadv ise", + "Ġbel t", + "çİ »", + "Ġ' \\", + "Ġreal istic", + "Ġlo ver", + "Ġnon linear", + "em os", + "t ags", + "Ġrequ iring", + "Ġf ÃŃs", + "UT H", + "g iven", + "æĮ ĸ", + "ĠIll inois", + "Ġpain ful", + "å¼ Ħ", + "Ġespany ol", + "^ ^", + "In f", + "Ġchar ming", + "г ле", + "dist ance", + "ĠSte el", + "ext ension", + "ÃŃ g", + "O O", + "åł Ĩ", + "è½ ´", + "cf g", + "ç»Ħ åIJĪ", + "ust a", + "èī ³", + "p air", + "ĠResult s", + "缸 åºĶ", + "ж на", + "å®ŀéĻħ ä¸Ĭ", + "Ġhand ed", + "Ġpunt s", + "Ġbal anced", + "J o", + "look ed", + "J ul", + "Ġinter section", + "}) )", + "Pr ice", + "m ans", + "ç²¾ 彩", + "Ex pr", + "Ġv oy", + "bar a", + "Ġband width", + "unt s", + "Ġsacr ifice", + "h uman", + "ĠCop a", + "è£ Ļ", + "iss on", + "vis ible", + "Ġmes os", + "he ast", + "ç»Ļ ä½ł", + "P resent", + "Ġwe igh", + "ĠH an", + "Ġd ancing", + "ed ifici", + "ĠT ro", + "pos ició", + "Ġtyp ename", + "Ġdr inks", + "èĴ ¸", + "Ġvari ed", + "ĠL LC", + "æ¸ł éģĵ", + "Ġto mat", + "Ġd ental", + "ĠS ure", + "up dates", + "l iter", + "gr ay", + "ĠCar l", + "Ġcar riage", + "Ġspecial ist", + "act ivity", + "Ġgent lemen", + "çļ Ĩ", + "Ġappro ached", + "Ġcour ts", + "par ser", + "Ġir rit", + "us uario", + "tab s", + "Ġview ing", + "VAL UE", + "举 è¡Į", + "Ġed ited", + "ĠK ind", + "Ġwhe els", + "Ġregul ator", + "èij ±", + "乡 æĿij", + "Ġg ig", + "ĠPr ime", + "Ġtransfer red", + "Ġtype of", + "Ġvirt ue", + "t f", + "A K", + "Ġdom ains", + "ĠÑĩ ÑĢез", + "Ġmodel ing", + "ach ment", + "ĠSal v", + "Ġremark ed", + ".\" );", + "Ġsignific ance", + "Ġab ilities", + "de cor", + "Ġreal itzar", + "Ġestabl ir", + "DE FAULT", + "Ġref uge", + "åģļ äºĨ", + "multi row", + "ĠS ydney", + "ç¥ŀ ç»ı", + "Ġв а", + "z i", + "ĠRepublic an", + "Ġm ai", + "Ġne gl", + "Ġaccom pany", + "ĠC ass", + "Th ose", + "ĠB erg", + "Ġbron ze", + "hist ory", + "urs or", + "sk ý", + "LA Y", + "Ġtele phone", + "ĠB ag", + "ĠN um", + "Ġcent uries", + "ĠMic hel", + "Ġassoci ate", + "ĠT emple", + "pl ain", + "Ġsl ots", + "çļĦ æĸ¹æ³ķ", + "R end", + "ĠCh all", + "б ва", + "ict ures", + "ĠH erm", + "st ates", + "ĠDe ep", + "ick ing", + "r és", + "Ġserv ants", + "Ġcompar able", + "ĠS ER", + "Ġdepart ure", + "б ÑĢе", + "èĶ ¬", + "ĠIO Exception", + "is ure", + "çļĦ å½±åĵį", + "rad io", + "Ġexc use", + "Ġappe aring", + "Ġjur is", + "Ġfocus ing", + "Ġm ans", + "Ġun fortunately", + "hav ior", + "m ont", + "qu ir", + "ĠAr ticle", + "æݨ 广", + "ĠLew is", + "Ġp ity", + "ĉ break", + "och astic", + "ĠH ttp", + "ĠÑģÑĬ пÑĢÑĥ", + "ARN ING", + "Ġdecl ine", + "fr ag", + "sc ore", + "Ġprodu ir", + "load ing", + "顺 åĪ©", + "Ġиме ÑĤо", + "Ġperform ances", + "çĹħ æ¯Ĵ", + "Ġa wards", + "г е", + "Set ting", + "ĠD ave", + "quar ters", + "L ight", + "Ġqu oted", + "ract ed", + "Whe ther", + "umer able", + "Const raint", + "time out", + "Ġtrem end", + "ä¼ł æĴŃ", + "æĽ ¹", + "Ġemploy er", + "ĠD river", + "ast y", + "羣 æĺ¯", + "Ġproport ional", + "Ġleg acy", + "Ġarrang ements", + "Ġref res", + "Ġcolle agues", + "ex it", + "Date Time", + "Ġsh ar", + "Ġfollow ers", + "g rav", + "Ġr ac", + "Ġkne es", + "ĠCap ital", + "ol ute", + "å·¥ä½ľ çļĦ", + "Ġcan al", + "èĥĮ æĻ¯", + "Ġsimpl er", + "Ġthem es", + "Ġmanten ir", + "çݯ ä¿Ŀ", + "Ġindepend ence", + "Desc ripció", + "l ings", + "Ġatt ending", + "éĩį åºĨ", + "H ot", + "st age", + "ĠStud ent", + "Ġinstall er", + "_ )", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ Ġ", + "xy gen", + "al ias", + "al most", + "Ġr it", + "Ġh ace", + "Ġ\" '", + "ffff ff", + "M us", + "W elcome", + "åĽŀ æĿ¥", + "Ġcast le", + "Ġgener ations", + "itect ure", + "D ATA", + "Ġ\\ !", + "åīį çļĦ", + "Ġdis charge", + "Ġh oney", + "un da", + "S pan", + "认 å®ļ", + "Ġz oom", + "M ove", + ")) \\", + "ĠThe atre", + "éĥ½ åı¯ä»¥", + "ĠVict oria", + "Ġabund ance", + "ÑĢи Ñĩа", + "Pro ps", + "Ġst airs", + "Ġj ove", + "ĠMus lim", + "ĠL am", + "Ġlo b", + "add ed", + "Ġc tx", + "Ġcontro vers", + "ĠпÑĥ бли", + "att ributes", + "ress es", + "r age", + "ве ÑĢо", + "ĠÑĢазли Ñĩни", + "ĠÐŀ Ñģ", + "Ġl un", + "ĠE C", + "sc al", + "Ġint end", + "ĠD ue", + "rt l", + "D rop", + "ĠGovern or", + "Ġhol idays", + "S N", + "ĠOrig inal", + "å·ŀ å¸Ĥ", + "Ġpresent ly", + "T M", + "Ġobtain ing", + "Ġка ÑĢ", + "W arning", + "Ġun o", + "Ġpip eline", + "ons ieur", + "Ġauthentic ation", + "ĠF ix", + "Ġkind ly", + "ĠB ody", + "as is", + "p he", + "Ġun iqu", + "UR I", + "b ast", + "åİ ¨", + "æīĢ åľ¨", + "æµĻ æ±Ł", + "Ġins pection", + "anche ster", + "Ġnarr ative", + "ĠSta ff", + "Com put", + "Ġse ized", + "ĠUs ed", + "ĠSte am", + "Ġstreng then", + "Ġlic ensed", + "ĠD rop", + "ÑĤо в", + "Ġag ed", + "Ġref use", + "Ġmac ro", + "Ġfocus es", + "Ġi ii", + "ĠS UM", + "Ġnum ero", + "g ov", + "Ġpro d", + "m art", + "Ġfem en", + "Ġpres erved", + "С лед", + "è¯ģ åĪ¸", + "Ġir re", + "Ġmen or", + "th ird", + "Ġal umin", + "失 è´¥", + "Ġbl end", + "P layer", + "ch art", + "ĠCom ments", + "ÑĬ к", + "ĠAut om", + "Ġr uta", + "Ġpush ing", + "èī ¾", + "Ġcomb in", + "Ġtempl ates", + "h h", + "Ġan om", + "Ġlib eral", + "al ph", + "ĠD ur", + "ot ive", + "og s", + "neg ative", + "ĠJ am", + "Ġpr ince", + "allow ed", + "iz ard", + "del ay", + "ĠM ode", + "Const ants", + "缴 åĪ°", + "ub s", + "in th", + "ĠConst itution", + "build ing", + "Ġrep ublic", + "Ġstom ach", + "Ġgovern or", + "Rev iew", + "æģ °", + "Ġche aper", + "G ame", + "ĠF R", + "Ġcol lections", + "ir ical", + "OP T", + "S W", + "Ex per", + "Ag ain", + "s leep", + "log o", + "åĩº çĶŁ", + "R ob", + "é¢ Ī", + "ĠChrist ians", + "ĠA I", + "ĠAs k", + "ow a", + "ĠTor onto", + "ĠPal est", + "ä¾Ŀ æŧ", + "ĠCor p", + "F unc", + "Ġfail ing", + "Ġk in", + "æĻ ĭ", + "æĢİ æł·", + "ĠVal id", + "ĠWi Fi", + "umb led", + "ĠI gn", + "ri el", + "par allel", + "hav ia", + "(' /", + "æ¶Ī éĺ²", + "er able", + "Ġch ains", + "ĠAs ian", + "P Y", + "Ġmac OS", + "im ag", + "ç»´ çĶŁç´ł", + "ic ide", + "ĠProfess ional", + "Ġmy sq", + "Ġsm oking", + "ĠFl ore", + "è¯ģ æį®", + "Ġshel ter", + "c ers", + "S creen", + "hel per", + "ĠLO G", + "Ġ Ä", + "ĠVict or", + "Ġmeaning ful", + "Ġmax imal", + "çĽ Ĩ", + "w en", + "Ġfig ured", + "æĪIJ å°±", + "ss h", + "again st", + "un al", + "Ġun necessary", + "min ute", + "Ġinsert ed", + "A mb", + "ĠP ic", + "Ġsl ice", + "Ġres ident", + "Ġre ign", + "Ġevident ly", + "Ġs our", + "çĴ ĥ", + "åį³ å°Ĩ", + "Ġneut r", + "trans ition", + "Ġrg ba", + "ĠR yan", + "Ġtyp ed", + "ĠMè xic", + "AR R", + "ĠP od", + "æĪIJ æŀľ", + "Ġge ometric", + "Ġgod s", + "ка ÑĤо", + "Ġlog ged", + "empor ary", + "Ġd pkg", + "ĠO cean", + "ETH OD", + "ĠV ien", + "åIJ¦ åĪĻ", + "Ġland ing", + "ĠB rian", + "Ġindepend ently", + "ĠS in", + "E ffect", + "direct ory", + "L eg", + "Ġp g", + "çĸ ı", + "ĠJord an", + "ĠW inter", + "Ġtri ps", + "tes y", + "ĠJew s", + "fortun ate", + "Ġrele ases", + "Ġ ©", + "èį¯ çī©", + "Ġtrium ph", + "Ġfun ció", + "Ġcompan ions", + "Ñĩе ни", + "Ġfort un", + "çĨŁ æĤī", + "Ġvolunte ers", + "Ġper ceived", + "Ġfem in", + "Ġr ab", + "r and", + "const ant", + "Ġhands ome", + "ç® Ń", + "ĠF REE", + "NavBar Cell", + "å®ļ ä½į", + "ĠH ans", + "{ %", + "ĠF ried", + "B rowser", + "æĪij æĺ¯", + "åı¯ è§ģ", + "alt ies", + "W atch", + "C ó", + "ä»İ äºĭ", + "ÑĢа б", + "Sym fony", + "åĪĨ 为", + "ĠMult i", + "ä¸į å¤Ł", + "æŁ ľ", + "èij£ äºĭ", + "å¼ķ åıij", + "ins ic", + "Ġp ac", + "Ġstream ing", + "ĠG re", + "Ph oto", + "羣æŃ£ çļĦ", + "onom y", + "Ġg rip", + "Ġs ap", + "year s", + "apt ure", + "çĥ ¤", + "ÃŃ nce", + "èĩ³ ä»Ĭ", + "Ġcal c", + "ĠMot or", + "fol der", + "c reat", + "ĠM ars", + "\" --", + "ĠL ux", + "æ² Ī", + "IM ARY", + "Ġindex es", + "å¥ ī", + "he im", + "çĭ¬ çī¹", + "ĠSt ream", + "ĠSt yle", + "ĠM oon", + "Ġpresent a", + "Log in", + "è® ¼", + "ÑĢе ди", + "ĠRep resent", + "ts d", + "éŃ ħ", + "N UM", + "EL D", + "Ġreject ed", + "Ġwhere ver", + "ĠColumb ia", + "d h", + "S em", + "Ġcor ners", + "bour ne", + "es qu", + "ĠIm port", + "çĮ Ľ", + "Ġpurs ue", + "alth ough", + "Ad v", + "ĠS end", + "æĹ ĭ", + "ĠProduct s", + "Ġsole ly", + "åľ¨ 线", + "Ġsh a", + "iff s", + "ĠP ope", + "Ġbelong ing", + "ä¸į ä½ı", + "Ġdeg ener", + "DO CTYPE", + "Ġscient ists", + "Ġdram atic", + "x is", + "Ġgr Ãł", + "At tr", + "Ġcolumn a", + "ка зва", + "arr ison", + "ĠSt orage", + "Ġrest riction", + "ĠÐĶи ми", + "æĭ ³", + "Ġcatal ana", + "Dom ain", + "exp and", + "ĠÑĤе ÑĢи", + "........ ........", + "ĠC T", + "ĠJ u", + "ĠÐĵеоÑĢ ги", + "Ġcond itional", + "ĠR ab", + "Ġalem any", + "Reg ion", + "è¦Ĩ çĽĸ", + "t ouch", + "Ġrem arks", + "Ġapproach ing", + "S pr", + "uten ant", + "D U", + "Ġt we", + "Ġespèc ies", + "åħļ åijĺ", + "LE TE", + "ĠSaf ety", + "Ġir regular", + "( __", + "æĪij å°±", + "æĶ¹ éĢł", + "Ġprof ound", + "ä¸Ģ è¾¹", + "Ġdev il", + "讨 论", + "Ġpod ria", + "ab ul", + "Ġphenomen on", + "Ident ifier", + "Ġref erenc", + "ĠC ut", + "column width", + "Ġre plic", + "é ho", + "è¿IJ çĶ¨", + "éĿŀ常 çļĦ", + "is ations", + "Ġcomp rom", + "æŀ Ŀ", + "ĠLa ure", + "Ġfro zen", + "Ðļ о", + "comp ile", + "ĠE le", + "Ġin clusion", + "Ġrepresent atives", + "éĿ© åij½", + "ĠS elf", + "ä¸Ģ 代", + "V AR", + "Ġf ence", + "åijĪ çİ°", + "Ġdef ining", + "в иÑĤел", + "l inks", + "ri ques", + "Ðļ а", + "Ġst abil", + "Ġg ross", + "Ġo ct", + "des ign", + "å§ ij", + "ĠT el", + "ho o", + "æĺ¯ æľĢ", + "ĠS amsung", + "Ġrad ial", + "dis able", + "akes peare", + "iss ió", + "ic Ãł", + "te ch", + "worth y", + "Ġsobre tot", + "Ke ep", + "Ñĩе ÑģкаÑĤа", + "ĠRec ords", + "Ġhar vest", + "reg on", + "в ниÑĤе", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠ", + "per a", + "ĠVol ume", + "ĠT engo", + "Ġsitu ated", + "g ue", + "ĠDon ald", + "ĠG as", + "object s", + "æĪIJ éĥ½", + "èµ ĭ", + "ĠMA X", + "ä»ĸ åľ¨", + "æº ª", + "N odes", + "åĪ© äºİ", + "ä¼ĺ åĮĸ", + "is ible", + "ĠE S", + "ĠI raq", + "Ġc ousin", + "ym er", + "li ver", + "Ġcons olid", + "ren a", + "g nu", + "Ġinnoc ent", + "Ġobject ives", + "or dered", + "åĵª éĩĮ", + "DE BUG", + "ä¼Ĺ å¤ļ", + "CE PT", + "Ġmechan isms", + "ĠF ailed", + "åij¼ åIJ¸", + "S cale", + "in valid", + "ĠL I", + "Pro gress", + "æĪĺ äºī", + "ä¸Ĭ ä¸ĭ", + "Ġpassion ate", + "Ġn ous", + "çĨ Ĭ", + "Ġinter pre", + "ĠL lu", + "è£ħ ä¿®", + "me asure", + "ĠH appy", + "ĉ s", + "åħĥ ç´ł", + "Ġpl ates", + "ло ви", + "D OM", + "Ġadequ ate", + "ĠNE W", + "Ġú nic", + "Ġcor on", + "æĪ Ĵ", + "Ġhope fully", + "Ġparticip ation", + "st ation", + "ĠHolly wood", + "Ġcontract s", + "ĠT ru", + "ĠRes ponse", + "k ill", + "}} }\\", + "u ït", + "Ġf are", + "the w", + "Ġe rect", + "åIJĦ ç±»", + "Ġabs ent", + "Ġa jud", + "m el", + "script ors", + "| =", + "ĠJer usalem", + "Ġinv ite", + "Hist ory", + "Ġ ×", + "è¡Ģ 管", + "ĠB ou", + "åĪļ åĪļ", + "Ġsl aves", + "ÃŃt iques", + "eng u", + "G reen", + "èµ· äºĨ", + "çĸ ²", + "å·¥ èīº", + "æĢ ¨", + "ĠCo oper", + "ĠD al", + "è§Ħ åĪĻ", + "æī© 大", + "åŃ£ 度", + "ob le", + "Ġези к", + "M al", + "åĪ° çļĦ", + "- \"", + "En um", + "HT TP", + "ÑĢи й", + "ĠT rib", + "åı¬ å¼Ģ", + "Ġr h", + "Ġexpl oring", + "Ġdirect ories", + "ex pression", + "Ġvalid ate", + "qu ote", + "Ġpron ounced", + "Ġимпе ÑĢиÑı", + "åIJ« æľī", + "Or gan", + "çļĦä¸Ģ ç§į", + "Ġsize of", + "Ġt ape", + "åĬł 大", + "ias m", + "Ġl iv", + "Ġtr aces", + "çº ¤", + "por ters", + "ĠM osc", + "çIJĨ çĶ±", + "æĺ¥ èĬĤ", + "r ules", + "mer cial", + "L en", + "ĠТо ва", + "Ġ ÑĩаÑģÑĤи", + "cal cul", + "ä¸ī å¹´", + "Ġdiss ol", + "Ġclass room", + "ĠR ot", + "Ġdim in", + "t oc", + "пÑĢе ки", + "Ġst ays", + "k ov", + "èģĮ å·¥", + "Ġz e", + "Ġin con", + "åıĤ æķ°", + "Ġc ups", + "ĠMag azine", + "he ro", + "ä¸įå¾Ĺ ä¸į", + "sw er", + "Ġst er", + "ãĢĭ ãĢģãĢĬ", + "ĠW is", + "ĠCas a", + "Ġl od", + "Ġto k", + "enced or", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠ", + "Ġmes h", + "ra ctions", + ", [", + "Ġcurv ature", + "cor rect", + "iss ip", + "ant i", + "sequ ence", + "Ġdr ift", + "Ġde pression", + "ж но", + "aut ilus", + "Ġn urse", + "Ġbare ly", + "ĠH ind", + "te res", + "ĠL ock", + "Ġcam eras", + "å½» åºķ", + "Ġacknow ledge", + "p d", + "w arning", + "çªģ åĩº", + " ´", + "å¯ º", + "Ġident ifier", + "éĿĴ æĺ¥", + "Ins ert", + "Ġfr on", + "Ġcult ura", + "Î ·", + "for ced", + "è´¸ æĺĵ", + "Sele ction", + "Ġesc aped", + "Ġbuy ers", + "gener ate", + "ir us", + "ма ниÑı", + "ig ious", + "åŃ©åŃIJ 们", + "ĠÐ¥ о", + "c ame", + "Ġме ÑģÑĤ", + "S ir", + "f w", + "H L", + "æĪIJ 交", + "åIJ¸ æĶ¶", + "强 åĮĸ", + "ä¸Ģ 件", + "Ġrev ista", + "ĠM ach", + "s ch", + "Ġtrop ical", + "ĠS now", + "Ġdes erve", + "le ans", + "Ġstruct ural", + "ĠB ush", + "Ġpro position", + "Ġsearc hed", + "Ġco il", + "ä¸Ĭ è¿°", + "ather ine", + "Ñĩ ка", + "ç»Ļ æĪij", + "F LA", + "èģ ª", + "åĮ» åѦ", + "çĻ¾ å§ĵ", + "hed ral", + "ĠPortug al", + "Wrap per", + "ĠFl ash", + "ĠSim ilarly", + "ĠStud y", + "å½ĵ å¹´", + "æµĭ è¯ķ", + "ä¸Ģ è·¯", + "大 æ¦Ĥ", + "Ġre par", + "le ading", + "... )", + "Ġfl ip", + "later ra", + "è¿ĩ äºĨ", + "åĬł å·¥", + "ĠEx change", + "Ġo bert", + "est one", + "Ġcomp art", + "he alth", + "Ġb aking", + "Ġtr ap", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ<", + "ä¸Ĭ åİ»", + "Ġintellig ent", + "æ¡ Ĥ", + "пÑĥбли ка", + "ĠP ho", + "AT CH", + "Sc ore", + "Ġал бÑĥ", + "ä¸ĵ 项", + "Ġtien es", + "Ġperform s", + "Ġmoder ate", + "ÑĢ ÑĤ", + "ĠV el", + ".\" ,", + "Ġfe ver", + "æľ¬ æĿ¥", + "os os", + "ĠH il", + "ili ary", + "Ġcas os", + "ĠTe ch", + "Ġstream s", + "Ġparticular s", + "Ġmur m", + "i y", + "q t", + "pro tocol", + "ĠW indow", + "Ġhung ry", + "Ġa ircraft", + "ĠP itt", + "Pref ix", + "Ġaccount ing", + "Ðľ а", + "m itting", + "ä½ľ ä¸ļ", + "Ġeas iest", + "пе ÑĢа", + "ĠPhil adelphia", + "M art", + "æ¶ µ", + "L ife", + "н ен", + "Ġtri als", + "Ġorgan isation", + "ĠCast le", + "B oot", + "Ġd t", + "ĠMin i", + "Ġelectron ics", + "n est", + "Ġperiod ic", + "th ings", + "IN TER", + "Ġc attle", + "ĠP ir", + "ĠQu ery", + "éĢĤ åºĶ", + "ç³ Ĭ", + "With out", + "Ġhuman ity", + "Ġg ains", + "æľ µ", + "Ġdeterm ining", + "Be an", + "Ġbet a", + "Ġbad ly", + "Ġt ones", + "o ir", + "ĠSing le", + "åĪ¶ å®ļ", + "ĠF ro", + "ò mic", + "Ø ±", + "Ġproceed ed", + "Ãłn ics", + "Ġgener ates", + "å¨ ľ", + "i ac", + "ab aj", + "n odes", + "å¹³ è¡¡", + "Ġmet ers", + "Ġtable t", + "Ġve u", + "al gebra", + "Ġadv ised", + "Th ree", + "Ġshort cut", + "Ġequ als", + "Ġthro at", + "éĶ ¦", + "æ²» çIJĨ", + "Un known", + "c op", + "se ver", + "ç»Ļ äºĨ", + "ĠF uture", + "Ġun install", + "Ġat oms", + "Vis ible", + "Ġvol ts", + "Ġè xit", + "ol ation", + "Ġr anging", + "al ia", + "Ġpet ita", + "th ick", + "Ġ$ ^", + "x id", + "no DB", + "ä¹ ĥ", + "i ances", + "ĠS L", + "F OR", + "te am", + "am ount", + "Ġtr ash", + "Ġв ла", + "æ¯ı ä¸Ģ个", + "nes ota", + "Ġseg uir", + "L java", + "Ġx ar", + "Ġimportant ly", + "xim adament", + "Ġwon dered", + "æİ¢ ç´¢", + "ĠLook ing", + "Inter val", + "Т о", + "è¯ī 讼", + "æĥ³ æ³ķ", + "ĠSen ior", + "ĠAix ÃŃ", + "Ġtrop es", + "sc an", + "Ġm old", + "Ġinf lation", + "May be", + "ĠRog er", + "Ġcomp ost", + "W r", + "Ġmet er", + "ĠLED s", + "éħ ±", + "D urant", + "ĠTH EN", + "c ou", + "Ġden y", + "p ag", + "Ġaccur ately", + "r ors", + "Ġh itting", + "Ġre but", + "Char acter", + "ĠS Y", + "åİ ī", + "ul ent", + "ĠD isk", + "test ing", + "d anger", + "ĠM ove", + "妻 åŃIJ", + "---- -", + "åľº æĻ¯", + "Ġd x", + "ost ics", + "m ons", + "ĠB C", + "ĠBo olean", + "ar lo", + "M c", + "form er", + "re ach", + "ĠRes ources", + "D iff", + "Ġ icons", + "or ca", + "Ġиз веÑģÑĤ", + "Ġacc used", + "Ġinf ection", + "æī¶ è´«", + "V ICE", + "ĠId ent", + "a ired", + "Ġlik elihood", + "Ġun t", + "å¼Ģ å¿ĥ", + "ie val", + "iss et", + "çŃī å¾ħ", + "ĠLe ft", + ", {\\", + "Ġch urches", + "ĠÑģлед ва", + "è¡¥ åħħ", + "ustom ed", + "Ġdecre ases", + "ere n", + "Ġrespond ed", + "ĠSc iences", + "re z", + "ace ae", + "ç±» ä¼¼", + "Ġ[ ],", + "h aving", + "ob by", + "pat tern", + "bo ards", + "ĠInt erest", + "åľ¨ ä¸ŃåĽ½", + "Ġadapt ed", + "Ġав ÑĤо", + "Ġо пÑĢеде", + "Ġd amp", + "Ġf iction", + "ĠĠĠĠĠĠ |", + "Ġб ли", + "w ear", + "Ġt une", + "es pecially", + "Ġnetwork ing", + "Ġcan cell", + "Ġamb igu", + "A lex", + "Ġestud iar", + "æ² ĥ", + "Ġreg ulation", + "Ġins ights", + "Ġr untime", + "elf are", + "ic ament", + "Ġ' .", + "å¼ ¯", + "ph rase", + "Ġprime res", + "ĠS N", + "w t", + "³³ ³³", + "ĠC el", + "ĠFranc esc", + "å½ ¹", + "ç®Ĺ æĺ¯", + "çĶŁ éķ¿", + "Ġid le", + "Ġass ault", + "Ġmat t", + "ĠTrans port", + "被 åijĬ", + "Ġgeneral ized", + "ĠSup reme", + "Ġs quad", + "èĥ½ éĩı", + "äº ©", + "ĠA gr", + "广 æ³Ľ", + "Ġ' %", + "ĠCon nection", + "cp u", + "Ġminim ize", + "Ġcar Ãłct", + "ĠI mp", + "m f", + "Ġpresc ription", + "ep end", + "åĪĻ æĺ¯", + "Col lections", + "Ġmus cles", + "Ġco in", + "Ġmot ors", + "ç»Ĩ èĬĤ", + "åį° 度", + "Ġdis aster", + "Ġes port", + "Ġent ities", + "Ġwind s", + "Ġreal itz", + "ĠT ouch", + "* .", + "it as", + "ĠT ell", + "Ġin aug", + "ĠCle an", + "ĠChe m", + "ĠX ina", + "cur sor", + "Ġiniti ative", + "åĬĽ 度", + "Ġver ified", + "ĠEv ents", + "ĠÑģÑĬ веÑĤ", + "Cl uster", + "ĠGr ace", + "inst ein", + "( .", + "og u", + "寻 æī¾", + "am an", + "qu ire", + "P rivate", + "Ðŀ ÑĤ", + "Ġrec re", + "对 æѤ", + "long rightarrow", + "E scriptors", + "вÑĢе мен", + "çļĦ 设计", + "ce iver", + "D b", + "xx x", + "Ġpat ience", + "ick ý", + "g ather", + "Ġre com", + "\" ].", + "Ġpack ets", + "åij Ģ", + "R o", + "à ¦", + "ĠAp pro", + "Ġgu ides", + "v ard", + "Ġform ació", + "Ġn p", + "v iar", + "u ation", + "se ason", + "ĠпÑĢа во", + "èħ Ķ", + "x e", + "ĠE mer", + "M aterial", + "Ġprom otion", + "Ġswit ches", + "Ġsign ing", + "Ġw avelength", + "pr ison", + "aut or", + "Ġm elt", + "å¾Ī 好çļĦ", + "大 åĪ©", + "大 å¹ħ", + "LO C", + "Ġdou b", + "Ġciut ats", + "Head ers", + "b one", + "Ġin habitants", + "ä¼ij æģ¯", + "yect o", + "j unit", + "ĠC redit", + "foot notes", + "Ġsoph istic", + "Ġoper ated", + "ĠSer ial", + "ĠIn fo", + "ag ged", + "ho res", + "г ÑĢе", + "ĠC OL", + "Ġport ar", + "åħ» èĢģ", + "MO DE", + "Ġdeterm ines", + "CO M", + "å¾Ī 大çļĦ", + "sa fe", + "Ġres idual", + "Ġind ul", + "ĠRead ing", + "th a", + "Ġred irect", + "Ġse p", + "pend ing", + "Ġnew est", + "Ġcop ied", + "ist ance", + "ert a", + "Ġcreat ures", + "ĠA lemanya", + "aut y", + "Ġp and", + "Ġn ave", + "Ġt ournament", + "ĠC osta", + "åĩł 天", + "ambi én", + "æµ ħ", + "X i", + "ç» ĺ", + "pr ice", + "c uts", + "éĥ½ çŁ¥éģĵ", + "æ¤ ħ", + "mat ical", + "ĠO nt", + "Ġin k", + "ÑģÑĤи ÑĤÑĥ", + "red uc", + "ĠAtl antic", + "ĠT arget", + "Ġcorre ctions", + "ĠS ide", + "ĠC over", + "n p", + "Ġdrop ping", + "åĴ ĸ", + "spring framework", + "In formation", + "çīĪ æľ¬", + "Ġaim ed", + "ä¸ ¢", + "pl ant", + "Ġbe ef", + "iform es", + "ec ess", + "Ġmod ification", + "ĠMan ufact", + "H a", + "l b", + "Ġim g", + "Ġbr ick", + "Ġex plic", + "Ġcont ributed", + "çݯ èĬĤ", + "is en", + "天 ä¸ĭ", + "ú st", + "Ġap ar", + "ĠH old", + "ĠB ull", + "Ġam end", + "pos itor", + "Ġpal ace", + "ĠL ocation", + "Ġread only", + "Ġprov ince", + "å½ĵ äºĭ", + "Ġr anks", + "Ġll ind", + "ĉ} ;", + ": [", + "åıĤ èĢĥ", + "C ent", + "ĠCar les", + "w rit", + "ç¨ Ģ", + "èģĶ 缣", + "ie res", + "ç«ĭ åį³", + "好 åĥı", + "Ġmass a", + "( --", + ",\\ ,\\", + "ĠSE O", + "ĠAv ailable", + "z ar", + "Pro fess", + "ache l", + "j at", + "во ÑĢе", + "A U", + "Ġburn ed", + "ĠCon sole", + "r oute", + "con c", + "Ġs isters", + "Ġfrances os", + "m aven", + "m ation", + "Ġlabel ed", + "Ġe g", + "e ur", + ", (", + "math op", + "åı¯èĥ½ æĺ¯", + "\" ],", + "V O", + "ÑĤа ÑĤ", + "Ġref und", + "æ°´ æŀľ", + "åĽĽ å·Ŀ", + "? !", + "ĠIn v", + "太 å¤ļ", + "Ġcount ing", + "Mem bers", + "Ġ ÑĪа", + "ĠM I", + "Ġdest ru", + "oc o", + "Ġcom te", + "ĠAl b", + "C ert", + "Ġconsult ation", + "Ġne ur", + "çĶµ åķĨ", + "Ġ\" \";", + "def in", + "Ġpossess ed", + "ĠR C", + "at r", + "Ġflow ing", + "å¼ Ĺ", + "ĠPro f", + "Ġn an", + "G M", + "ress os", + "ic is", + "d ag", + "ä¸Ń éĹ´", + "P s", + "æľĢ æĸ°", + "è´¢ æĶ¿", + "Ġvari eties", + "Ġmonument al", + "éħ ·", + "Ġconserv ation", + "N eed", + "Ġmem br", + "Ġhum or", + "ĠWal ter", + "r ir", + "M ag", + "Ġcom ent", + "Ġse al", + "Ġdefe at", + "Ġcorrespond ence", + "G T", + "Ġident ifying", + "Ù Ħ", + "N ative", + "Ġse ated", + "Ġcharacter ized", + "@ {", + "Ġso fa", + "æ¹ ĺ", + "ĠÑĥÑĩи лиÑīе", + "ĠW E", + "s us", + "ä»ĸ 人", + "ĠAg ency", + "Ġ[ -", + "Ġdump ster", + "ĠE ver", + "und ry", + "Ġb other", + "è¡Ĺ éģĵ", + "Ġid x", + "но ва", + "ĠF low", + "è¢ Ń", + "Ġpat ent", + "Ġexperi encing", + "ÑģÑĤ ÑĢÑĥ", + "Ġmerc y", + "ĠU V", + "o qu", + "è tic", + "èĢĮ ä¸į", + "å¼Ģ åIJ¯", + "ur us", + "æł ı", + "qu ier", + "res ize", + "Ġeffect iveness", + "Ġcapac it", + "m aps", + "ĠÑĨ Ñı", + "ch anges", + "cont rib", + "bas ic", + "ĠGir l", + "Spec ial", + "B AR", + "R ole", + "ad èmia", + "Ġtw ist", + "h ops", + "Ġsk illed", + "Ġsym pathy", + "Ġactiv itats", + "Ġu i", + "ĉ *", + "art he", + "Ġshut down", + "work ing", + "Ġdialog ue", + "Ġmed i", + "ĠTh ings", + "Ġpun ct", + "Ġg ang", + "çİ» çĴĥ", + "ĠM os", + "Ġbis be", + "ĠM uch", + "enc iÃł", + "ĠA rizona", + "Ġpull ing", + "Ġм ÑĬ", + "Ġnormal ized", + "è´§ å¸ģ", + "VID IA", + "éĿ¢ åīį", + "const raint", + "Ġth under", + "Ġsur f", + "ĠТ и", + "па д", + "Ġbel oved", + "---- ---", + "æĭĽ èģĺ", + "Ġtop ology", + "Ġpass engers", + "Ġd ock", + "Ġn u", + "Ġи ÑģÑĤоÑĢи", + "Ġvar ies", + "ÑĤа лиÑı", + "çĬ ¹", + "æĢ Ĵ", + "Ġdev iation", + "Ġphot on", + "M a", + "ĠE arly", + "Ġeng aging", + "STR ING", + "Ġfluctu ations", + "ĠC rit", + "od el", + "æł· åŃIJ", + "Ġpro ps", + "ĠM om", + "Ġcollect ive", + "çļĦ æľĭåıĭ", + "B ro", + "ĠN at", + "ĠKore a", + "ÑĤо ÑĢаÑĤа", + "ĠI ron", + "Ġf ons", + "ĠÑĤе ле", + "è¯Ħ 论", + "B al", + "Ġtrav elling", + "footnotes ize", + "e ve", + "-------- -", + "éĢ ¼", + "åĩº è¡Į", + "ĠD NA", + "Ġvirt ually", + "ed es", + "Ġestud iant", + "åįģ äºĮ", + "ÑĢа ни", + "Ġcomp ile", + "ĠSc an", + "Ġto mb", + "ymmet ry", + "bel ow", + "So ft", + "é£Ł çĶ¨", + "ĠB R", + "ĠS ix", + "Ġa fect", + "ĠVeg as", + "Ġdisappoint ed", + "opt ional", + "çĹĽ èĭ¦", + "ĠN ik", + "Ġel ls", + "å® ł", + "you ng", + "Ġrect angular", + "ĠPh one", + "sl ice", + "æĬ ¼", + "oc c", + "ĠR S", + "Ġmay or", + "p it", + "ĠH ER", + "Ġrout es", + "A bs", + "op ts", + "ĠDes pite", + "Ġposterior ment", + "Ġc ave", + "m ateix", + "CO MM", + "è´¢ 产", + "æľº åľº", + "лекÑģ анд", + "ĠIt em", + "亿 ç¾İåħĥ", + "d bo", + "Ġtrans itions", + "Ġе пи", + "ĠSu ccess", + "带 æĿ¥çļĦ", + "ä¼ļ åľ¨", + "ĠD ES", + "é«ĺ èĢĥ", + "满 æĦı", + "le arning", + "Ġmuse um", + "Ġestablish ment", + "! ]", + "Ġva ix", + "Ġent rar", + "çī© æµģ", + "at io", + "Ġact ively", + "æĪIJ为 äºĨ", + "Ġwhis pered", + "åķĨ åĬ¡", + "广 åľº", + "èĤ ĸ", + "æľº 械", + "Ġ= ========", + "ech a", + "ĠP E", + "amaz on", + "Ġfr ank", + "comp iler", + "A j", + "Ġm ature", + "Ġconj ug", + "å¹´ 代", + "ĠÑģм ÑĬÑĢÑĤ", + "F ocus", + "Ġe poch", + "ĠPro b", + "ĠB os", + "è¾ ŀ", + "è¿Ľ æŃ¥", + "èĤ ļ", + "åģļ åĩº", + "æĹł 人", + "ĠMarg aret", + "index Of", + "Ġvolunte er", + "注 åĨĮ", + "B egin", + "Ñĩина ли", + "Ġmyster ious", + "Ġp i", + "Ġsol der", + "ĠB ry", + "Ġsou ls", + "rop ol", + "et e", + "Ġacquis ition", + "ĠPenns ylvania", + "éĶ »", + "æĸĩ åŃĹ", + "Names pace", + "ĠÑĢÑĬ ко", + "Ġv ocal", + "Ġtarget ed", + "Ġes o", + "Ġhe x", + "ĠU pon", + "éģ µ", + "wh y", + "Ġcon e", + "s bin", + "Ġequ ips", + "ĠT ar", + "åıį æĺł", + "éĢī æīĭ", + "æĥ³ 象", + "第 ä¸Ģ个", + "sub sec", + "Ġproduct es", + "Ġawk ward", + "ĠM s", + "Ġsystem atic", + "Ġarr ange", + "IC K", + "P rior", + "n ative", + "Ġgl obe", + "Ġengine er", + "ĠC ad", + "ä»ĸ 说", + "ĠLim ited", + "Ġj ail", + "Ġtop ological", + "an aly", + "ue ba", + "Ġhand les", + "h w", + "M ouse", + "um ble", + "av al", + "XX XX", + "ĠE thernet", + "Ġа д", + "ĠMor gan", + "er on", + "Ġru in", + "ric ulum", + "Ġselect or", + "ĠAll en", + "ele ments", + "缺 ä¹ı", + "åĩºçİ° äºĨ", + "\" },", + "åIJĦ 个", + "ast ing", + "é¥ ¼", + "ĠVal ent", + "M i", + "Ġc ats", + "Ġlog ger", + "Ġv uit", + "Ġcontinu ar", + "Ġw icked", + "O ST", + "Ġcrit er", + "Ġour s", + "ç¥ ¥", + "ĠL arge", + "ire n", + "r á", + "ĠDep ends", + "c ions", + "in als", + "ä¿¡ å¿ĥ", + "ĠF al", + "ment ioned", + "Ġcre ix", + "ĠC er", + "åĬł éĢŁ", + "æĹłè®º æĺ¯", + "Ġ< =Ġ", + "ĠD IS", + "ache lor", + "T ags", + "ra ise", + "ĠHou ston", + "Ġover head", + "çļĦ åŁºç¡Ģ", + "Ġutil itzar", + "çĶ· åŃIJ", + "зо ва", + "Ġtim estamp", + "ĠIde as", + "Ġdr um", + "Ġsk etch", + "ĠпÑĢед ÑģÑĤав", + "Fol der", + "ä¸į æĥ³", + "Ġinsp ir", + "Ġcon quer", + "t u", + "æ¼Ĥ 亮", + "å¿ Į", + "ĠTh read", + "ens ing", + "Ġslow er", + "im ated", + "Ġde be", + "è¿ Ī", + "Ġabsor ption", + "ĠM ind", + "ä¹ Ķ", + "Ġwh olly", + "åĮ ¹", + "ne a", + "Lem ma", + "åħ ģ", + "Ġf s", + "Ġco ins", + "Ġtem a", + "emper ature", + "og onal", + "ret ched", + "re act", + "at ius", + "ĠF iles", + "ĠMin istry", + "Ġvint age", + "L anguage", + "Ġh ind", + "S cal", + "Ġsal ary", + "Ġo l", + "è¡Į æĥħ", + "Ġll ocs", + "Ġexclus ively", + "s ix", + "éķ¿ æ²Ļ", + "Ġdeliver ing", + "èĭ± è¯Ń", + "Ġswit ched", + "Ġcom erç", + "ĠMar ie", + "ĠB ishop", + "sp in", + "Ġcompos itor", + "TR UE", + "ic ia", + "and al", + "Ġport able", + "ĠRe ial", + "Ġor al", + "ĠS yn", + "ure au", + "add y", + "ĠH DD", + "ç´¯ 计", + "ĠSing apore", + "Ġcom ma", + "еÑĢ ÑĨо", + "Ġhor rible", + "Ġtri angle", + "Ġthick ness", + "èĤ ª", + "Ġcon front", + "ĠÐĴ о", + "Ġtransform ed", + "ĠOffic er", + "Ġо пи", + "ä¸ĵ éŨ", + "ug g", + "Ġat e", + "æľī æŶ", + "---- \"", + "Ġsou p", + "un ion", + "й ÑģкиÑı", + "ĠB ird", + "Ġsuppl iers", + "Ġmitj ans", + "Ġcurios ity", + "at omic", + "è g", + "ĠRec ord", + "U ri", + "ĠN i", + ")-- (", + "Ġg ardens", + "\\! \\", + "ÑĢи н", + "ä¸į èµ·", + "n l", + "ĠNever theless", + "温 æļĸ", + "Ġle mon", + "ай н", + "ĠN ig", + "表 éĿ¢", + ") }_", + "up per", + "w ent", + "Ġsc attered", + "èİ ²", + "Ġr acing", + "ĠG O", + "Ġhe m", + "re tt", + "ob i", + "Es port", + "EN SE", + "Pro du", + "èĦĤ èĤª", + "O rient", + "ĠнÑıко и", + "Ġrecommend ation", + "Ġin hib", + "anim ation", + "Ġde most", + "Ġc ure", + "Ġch ronic", + "Ñĥ Ñģ", + "æħ Ī", + "Ġwarrant y", + "è¯ ±", + "Ġold est", + "Ġsplend id", + "Ġcomb ining", + "ĠPak istan", + "Ġоб Ñı", + "å¾ĭ å¸Ī", + "dest roy", + "ä¸Ģ 份", + "й ни", + ".. ...", + "é«ĺ æł¡", + "LO W", + "ĠW ars", + "gr ades", + "as ync", + "ev ol", + "à ª", + "ĠC ape", + "Ġи ÑģÑĤоÑĢиÑı", + "çĩ ķ", + "æħ İ", + "ĠCamp ionat", + "ap are", + "Sup er", + "Ġanomen ada", + "Ġd irt", + "S am", + "表 æ¼Ķ", + "ä¸Ģ 线", + "um ped", + "è¿Ļ ä¹Łæĺ¯", + "und ers", + "H it", + "大 åŀĭ", + "or us", + "Ġsu ited", + "ĠStr uct", + "Ġcl one", + "Ġdis pers", + "Ġг ене", + "Ġcl asse", + "Inst itut", + "W ord", + "Ġcomp ression", + "ĠAl ways", + "ĠG ate", + "xt ures", + "Ġemerg ing", + "Ġphys ician", + "Ġcon ced", + "åį° 象", + "T B", + "Ġprom ises", + "Ġinterf erence", + "æ¯ı 个人", + "åľ¨ æѤ", + "èIJ Ŀ", + "Ġval ign", + "ĠP ont", + "sh al", + "ĠPat rick", + "in x", + "èĢģ å¹´", + "Ġpar ad", + "ĠK ansas", + "Ġcle ared", + "缸 åIJĮ", + "èij ¡", + "Ġpresent ar", + "ÑĩиÑĤел но", + "ĠPlay er", + "Ġdownt own", + "Ġrot ate", + "çŀ ¬", + "ter iors", + "Ġinvestig ated", + "ĠS oci", + "'] ['", + "oid s", + "P ers", + "ĠÑģвеÑĤо вна", + "Ġsubst itute", + "Ġcom arca", + "Ġexc ell", + "Ġmas cul", + "Ġcontempor anis", + "ĠR ail", + "ĠMo ore", + "EN C", + "âĢ ³", + "Ġmod est", + "ä¾Ŀ æį®", + "ĠSI ZE", + "ÑģÑĤи га", + "Ġins ult", + "é¦ĸ 次", + "ĠоÑĢгани за", + "Ġset man", + "Text ure", + "ug s", + "ĠL ess", + "éĽ ķ", + "Ġprom ising", + "ath y", + "ĠEmp ire", + "Ġcomp ound", + "Ġabandon ed", + "r ò", + "amb a", + "comm unic", + "ĠS omething", + "ĠPer formance", + "Reg istry", + "Ġ\" \",", + "Ġhighlight s", + "ch air", + "ĠM oney", + "ĠJap ó", + "Î ¼", + "ĉ ĠĠĠĠĠĠĠ", + "Ġfol k", + ": .", + "è¿ŀ æİ¥", + "ĠM iami", + "ç§į æ¤į", + "Ġv otes", + "su ario", + "Y ear", + "Ġcontinu ously", + "l est", + "го ди", + "èĤ¡ å¸Ĥ", + "on ing", + "inte ger", + "den ly", + "Ġcon ject", + "ÑĢÑı бва", + "Ġviol ation", + "n ik", + "H ey", + "Ġn ucl", + "ĠSaf ari", + "ле ми", + "Ġde grad", + "Ġt ener", + "ĠаÑĢ миÑı", + "ĠCons erv", + "um ping", + "è¶ħ 级", + "Ġf ires", + "Ġhur ried", + "ĠCas ino", + "Ġnue vo", + "ĠP il", + "Cont ents", + "Ġj oke", + "Ġhand y", + "ç¡® 认", + "Ġfin ishing", + "ĠÐĵеÑĢ маниÑı", + "Ġphotograph s", + "ĠP rior", + "on line", + "Ġwas hing", + "A X", + "Ġ} {", + "az a", + "ĠVis it", + "b usiness", + "Ġdesp air", + "Ġinterpret ed", + "Ġfeed ing", + "Ġ\\ &", + "èĤ¡ ä»·", + "Ġgo ver", + "òb ils", + "col l", + "ud d", + "Ġen abling", + "resol ve", + "ĠW y", + "ev al", + "\\ }\\", + "d uration", + "ĠÑĢе жи", + "ĠInit ial", + "ov al", + "ли ÑģÑĤи", + "Ġg loom", + "æĥħåĨµ ä¸ĭ", + "}_{ -", + "ĠTr ade", + "ĠB ot", + "ĠFol lowing", + "ĠH ur", + "å© ´", + "ĠJ osh", + "çŁ Ľ", + "Bas ic", + "Ġt ension", + "ou re", + "Ġclos ure", + "ĠC ort", + "L ower", + "ĠS ierra", + "art e", + "AM ES", + "on ès", + "да ÑĤел", + "un ing", + "em en", + "Ġll um", + "ĠEst oy", + "è¿ij æľŁ", + "xt y", + "Ġpl ata", + "æĽ´ 好çļĦ", + "åħ± 享", + "è¿ĩ æĿ¥", + "Ġc ush", + "w i", + "eral d", + "Ġè poca", + "Gener ator", + "Dep end", + "Ġexpand ing", + "ä¹ī åĬ¡", + "ĠFe atures", + "Û Į", + "Ġl id", + "r x", + "T ON", + "Ġindu ction", + "om ing", + "Âł cm", + "Ġbr id", + "Ġcoll apse", + "æĢ§ æł¼", + "ĠT erra", + "Ġpl acement", + "R ender", + "Ġthe atre", + "m v", + "ĠðŁ Ļ", + "ĠProte ction", + "丰å¯Į çļĦ", + "Fe atures", + "Ġw ard", + "N ormal", + "Ġdesign ers", + "Ġembar rass", + "Ġoff ensive", + "è¿Ľ åı£", + "Ġp ending", + "io let", + "inter ior", + "Ġbar rier", + "B ind", + "ĠW olf", + "Ġescol a", + "ä¸įéĶĻ çļĦ", + "Ġch unk", + "Ġjust ify", + "ab c", + "plement ation", + "æĽ´ æĸ°", + "ĠPack ages", + "åİŁæĸĩ åľ°åĿĢ", + "Ġfiles ystem", + "Ġb er", + "Ġsil k", + "h app", + "ĠT ai", + "ç¾ ½", + "示 èĮĥ", + "Ġillustr ate", + "es os", + "ĠW ikipedia", + "Ġla wn", + "s ig", + "Ġnic ely", + "Ġspec ification", + "ä¿¡ çĶ¨", + "ĠK ate", + "ĠL android", + "ich ael", + "light s", + "Ġat om", + "ÑĢо н", + "oth y", + "SS L", + "ç»Ļ 大家", + "Ġ ĉ", + "Ġacc ent", + "ym e", + "ĠJ oin", + "ĠEn joy", + "ĠVill age", + "Ġlimit ing", + "D avid", + "Ġintrodu cing", + "Ġsurv ival", + "Ġexerc ises", + "ĠD uc", + "èµĶ åģ¿", + "Ġje alous", + "Ġsh ake", + "ounc es", + "Ġflo ors", + "r untime", + "C UR", + "Ġp ier", + "Ġpract ically", + "éĻ µ", + "Ġа н", + "Ġp ose", + "ar ter", + "Ġexist ed", + "ge bras", + "run ning", + "Ġn aked", + "Ġll ista", + "Ġsat ellite", + "ç¼ Ŀ", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ", + "ĠW ine", + "Ġbe ings", + "ви Ñģи", + "V P", + "ĠT é", + "åį §", + "Ġcompl aint", + "G al", + "Ġcomp iler", + "ÑĨ еÑĢ", + "Ġbook ing", + "èī °", + "ĠTh ird", + "ĠMed iterr", + "åŁº äºİ", + "Ï ħ", + "Com m", + "æĸ° èĥ½æºIJ", + "Ġprison ers", + "ä¸į åľ¨", + "天 æ´¥", + "на н", + "æĪª èĩ³", + "L imit", + "M Y", + "Ġre fr", + "or b", + "fe ed", + "Method s", + "åįĹ äº¬", + "åIJĥ é¥Ń", + "Ġdre ts", + ": '", + "S ample", + "ĠT x", + "ĠB B", + "ĠW ireless", + "æ» ļ", + "ĠK han", + "aquest s", + "ĠM eg", + "Ġkind ness", + "Ġrat ings", + "Ġadvert is", + "éĥ¨ ç½²", + "æ¯ ģ", + "Ġst ern", + "æĬĬ æı¡", + "lim inary", + "Ġcook ed", + "b ank", + "ĠE th", + "Ñĩе ли", + "Ġnav igate", + "t v", + "Ġcoll ision", + "çľ ī", + "ke eper", + "è´¢ å¯Į", + "Ġcre ació", + "s ocket", + "ro it", + "St ats", + "å®Į ç¾İ", + "n ÄĽ", + "ĠU til", + "й на", + "N othing", + "ä¸Ń åѦ", + "Ġpres um", + "до ва", + "B IT", + "Ġdef ence", + "Ġdec ir", + "Ġvolt ages", + "m iddle", + "( -\\", + "ä¸ļ 绩", + "by e", + "èĩª è¡Į", + "Ġp ap", + "Ġst ro", + "天 çĦ¶", + "Ġdis cre", + "ĠSpe ed", + "ang les", + "enc s", + "Ġcateg oria", + "sp irit", + "Ġreg istr", + "Ġqual itat", + "Ġconscious ness", + "éĤ£ æł·", + "ĠVis ual", + "Ġr m", + "ĠS ets", + "ĠJava Script", + "Ġrub ber", + "Ġsens es", + "ie u", + "as sembly", + "Ġis omorphism", + "Ġpar ser", + "Ġinv ention", + "el and", + "Ġen um", + "Ġoper ational", + "ĠWith in", + "Ġr uss", + "æĦı å¤ĸ", + "Ġл о", + "Ġant ib", + "pl ier", + "Ġremain der", + "çIJ ´", + "us a", + "б ÑĬÑĢ", + "ĠD ell", + "Ġattack ed", + "ĠEx p", + "Ġdo se", + "Ġcontin ually", + "æħ °", + "ĠV PN", + "ÑĢе Ñģ", + "Ġreason ing", + "Ġj ub", + "Ġs its", + "ĠGR UB", + "ä¸Ģ èĩ´", + "Dele gate", + "ÑĤи е", + "Ġд ви", + "ĠU k", + "Ġannounce ment", + "struct ure", + "H ar", + "æ²³ åįĹ", + "Ġjug ador", + "æĿij æ°ij", + "ĠA unt", + "se p", + "Ġst ochastic", + "га ва", + "Ġcelebr ation", + "er ència", + "Ġv ila", + "T I", + "Ġasympt otic", + "çĤ ®", + "E mp", + "ĠS port", + "p her", + "Ġdign ity", + "åĨħ å¿ĥ", + "Ġsch ol", + "ah a", + "Ġsens ible", + "ul ative", + "cal endar", + "Ġord in", + "LE D", + "cc a", + "è¡Ģ 液", + "Ġsynt hetic", + "ĠK evin", + "ĠM anchester", + "ĠV ector", + "Ġenforce ment", + "lig a", + "Ġoffic ially", + "ĠHaw ai", + "ĠAd vent", + "ĠShe l", + "h arm", + "ĠU t", + "æī Ń", + "С ÑĬ", + "ÐŁÐ¾ Ñĩинали", + "ear ly", + "ĠLu is", + "Ġl ou", + "ĠAnn ual", + "] {\\", + "ĠC V", + "éĵģ è·¯", + "v ens", + "ĠW ales", + "ass ign", + "Ġred shift", + "Ġпо бе", + "ĠConfig uration", + "am el", + "Comple te", + "b ia", + "r ise", + "гÑĢа ÑĦ", + "EE EE", + "us hes", + "ĠM L", + "个 æĢ§", + "Ġresult at", + "en z", + "常 常", + "mys q", + "п аÑĢ", + "ĠÑĥÑĩаÑģÑĤ ва", + "ло гиÑı", + "Ġr ushed", + "comp are", + "ĠL ad", + "Ġgovern ments", + "Ġinf erence", + "Ġv in", + "Ġrom Ãł", + "æĬ Ľ", + "i ants", + "ç¢ ij", + "Ġsimpl est", + "ĠBas ic", + "Ġalign ment", + "ĉ c", + "æIJ ¬", + "åĪ© çİĩ", + "Ġ ÑĨи", + "back s", + "med skip", + "Ġpos ar", + "Ġaddress ing", + "å§Ķ ä¼ļ", + "循 çݯ", + "d ash", + "Ġdiag rams", + "ĠEx ec", + "å¾Ī 容æĺĵ", + "ĠFr ances", + "Requ ired", + "ĠVAR CHAR", + "W orks", + "ĠW ait", + "Ġconsider ably", + "éĩĩ 访", + "ĠL ic", + "大 ä¼ļ", + "Ġreview ed", + "P D", + "Ġsup ers", + "ĠG olf", + "d rive", + "ĠÑĩе ÑĢ", + "Ġglass es", + "Ġcook ie", + "Ġtend ency", + "红 èī²", + "ĠB ey", + "t ensor", + "Ġdel ta", + "æĪĺ æĸĹ", + "ĠElect ric", + "ĠG PS", + "ĉ ĠĠĠĠĠ", + "ri ber", + "Ġle ar", + "Ġro pe", + "Ġwa ist", + "Ġdiscipl ine", + "ĠRev olution", + "Ġapp et", + "ibu ix", + "Ġso vere", + "ĠB BC", + "Ġang el", + "èĢģ åħ¬", + "Ġback ed", + "Ġincl ined", + "ä¸Ģæł· çļĦ", + "ĠBre ak", + "ĠPer ò", + "ĠP ick", + "ĠT ok", + "ĠUnc le", + "Ġac res", + "im eter", + "å² ©", + "Ġin cent", + "ĠNew ton", + "èĶ¬ èıľ", + "ä¼ģä¸ļ çļĦ", + "Ġcollect or", + "Ġcav all", + "m ot", + "Ġref in", + "Ġtre nc", + "ç ada", + "æĽ´ æľī", + "al ert", + "ĠB L", + "ĠR u", + "Ġtouch ing", + "Ġinter faces", + "ĠC ow", + "åģľ 车", + "ug u", + "æµģ éĩı", + "[ ]{", + "l ag", + "Ġb il", + "æĪij åľ¨", + "ли на", + "ç«Ł çĦ¶", + "Y et", + "åı° æ¹¾", + "Ġt iles", + "Ġaud it", + "ul ació", + "lot te", + "æľĢ ä½İ", + "ĠCho ose", + "Ġsitu ació", + "Ñĥ к", + "ç«Ļ åľ¨", + "Ġна ÑĢиÑĩа", + "Ġcon clusions", + "ĠFol low", + "ĠF ed", + "face book", + "缸 äºĴ", + "åį ľ", + "Ġform ulation", + "Ġem br", + "in form", + "uel a", + "коно ми", + "Ġb Ãłs", + "Ġreg ression", + "Ġquant itat", + "读 书", + "em ploy", + "ç»´ æĮģ", + "主 æĮģ", + "Ġsil ly", + "Ġsec und", + "Ġp ine", + "Ġmap a", + "ĠAust in", + "ĠJud ge", + "i ars", + "agr ang", + "y et", + "ĠV ent", + "n an", + "æ±Ł èĭı", + "of ia", + "ond on", + "Ġa ria", + "Ġpack aging", + "Ġcamp o", + "ib ilitat", + "Ġo re", + "ĠP ear", + "Ġdaugh ters", + "ĠD OM", + "ĠP arent", + "per haps", + "Ġperson nel", + "Ġп ÑĬ", + "ĠSw itch", + "ĠP au", + "主è¦ģ æĺ¯", + "Th ough", + "人 æķ°", + "ĠAnth ony", + "st ick", + "Ġpun ishment", + "ĠV ice", + "ĠCar los", + "es ar", + "Ġl let", + "ĠReview s", + "ÑĤ ва", + "òb il", + "ss l", + "is co", + "Ġelement os", + "iem po", + "unt ed", + "åħ¨ å¸Ĥ", + "ĠK al", + "Ġboot ing", + "read ing", + "Ġdiscuss ing", + "Ġex ports", + "Ġfr anch", + "Ġli ability", + "er ce", + "Ġb arg", + "åŁº å±Ĥ", + "In vent", + "åĽĽ 个", + "ĠH ills", + "if def", + "cons in", + "Ġrefer ència", + "èĬ ¯", + "Ġproject ed", + "Ġ/* !", + "ĠP H", + "Ġa ñ", + "ĠмÑĥзи ка", + "Ġaccommod ation", + "Ġ\" %", + "S K", + "Ġdynam ical", + "p pa", + "bet ter", + "ĠWord Press", + "鸡 èĽĭ", + "ba ix", + "ĠG PIO", + "ĠÑĤ ÑĢÑıбва", + "anch or", + "Ġven ue", + "el astic", + "èIJ Ħ", + "è¿ĺ 没æľī", + "load ed", + "éĽ ¾", + "en ix", + "up t", + "çĸ Ĩ", + "Ġtyp ing", + "Ġexcept ions", + "ĠMin nesota", + "éĨ ī", + "Ġsoci etat", + "Ġbeautiful ly", + "ĠMary land", + "æŀĦ æĪIJ", + "j d", + "Ġreve als", + "com pl", + "éĹ®é¢ĺ çļĦ", + "Ñĥ м", + "çļĩ å¸Ŀ", + "C amp", + "ĠS R", + "ĠÑĢазпо ложе", + "V G", + "Ġr ang", + "马 ä¸Ĭ", + "enc ial", + "éĻ ¶", + "ĠGr am", + "Ġbreath ing", + "âĢ¦ âĢ¦", + "ĠDef inition", + "P ara", + "Ù Ĩ", + "æĶ¶ è´¹", + "说 è¯Ŀ", + "çĺ ¤", + "мен ÑĤа", + "S equence", + "Ġclim b", + "Ġwh oles", + "tw itter", + "Ġnever theless", + "ï na", + "ann on", + "Ġprof its", + "Ġd ans", + "Ġformul ario", + "äºĨ å¾Īå¤ļ", + "ab ad", + "èij¡ èIJĦ", + "Ġp Ãłg", + "ĠK it", + "声 æĺİ", + "ĠÐĿи кола", + "Ġpar l", + "err at", + "ĠCol umn", + "Ġdiv isió", + "Ñı н", + "ĠÑĥ би", + "Ġg low", + "Ġver se", + "comple x", + "ĠB aby", + "Ġequival ence", + "ur at", + "ĠEst ate", + "Ġpl asma", + "'] );", + "Ġconj unction", + "alt ra", + "Ġmagnific ent", + "Ġcert ification", + "Ġest ad", + "Ġrec ruit", + "(\" /", + "V irtual", + "Lear n", + "ing o", + "Ġinter pol", + "Ġto ilet", + "羣 çļĦæĺ¯", + "ä¹ Ļ", + "Ġear liest", + "è¡¥ è´´", + "ç´§ å¼ł", + "å±ķ çİ°", + "åī ²", + "Ġbr ide", + "M o", + "Ġrep airs", + "ĠAr n", + "ĠM ission", + "Fol lowing", + "åī ª", + "ĠCon vert", + "n om", + "èĢĮ ä¸įæĺ¯", + "get Value", + "sc opic", + "Ġc ust", + "ÑĤ ÑĥÑĢ", + "Ġmin istry", + "oper ation", + "èĦ± è´«", + "Ġend less", + "Ġdes irable", + "Ġ+ =Ġ", + "л ниÑı", + "Ġexcess ive", + "side bar", + "W est", + "Ġcomplet ing", + "ĠR ound", + "é¢Ĩ åħĪ", + "Ġad mission", + "Ġtr unc", + "Ġp ública", + "Ġprec ip", + "Ġin herent", + "Ġpublic ly", + "Ġrece ipt", + "详 ç»Ĩ", + "Ð ¦", + "Ġed at", + "ist le", + ": -", + "åIJĦ 项", + "Ġfirm ly", + "Ġinterrupt ed", + "Ġcapac itors", + "Ġinvest ments", + "C u", + "æĭ Į", + "Ġbu f", + "Ġspecific ations", + "Ġfl ights", + "og ical", + "Ġr ack", + "l ord", + "ĠPet ers", + "Ġpopular ity", + "Ġuniform ly", + "éĺ Ķ", + "ĠSch olar", + "ĠEm ail", + "ol as", + "ç² ĺ", + "ä¸į å¤ļ", + "ĠR s", + "F amily", + "S ometimes", + "æĹħ è¡Į", + "End point", + "Ġto gg", + "ĠEm peror", + "ER Y", + "Ġcomp iled", + "to ok", + "sim ulate", + "ĠпÑĢи ÑģÑĬ", + "ET A", + "Ġdec idir", + "b atch", + "Ind eed", + "ac ord", + "Ġf ent", + "AN S", + "Ġlat ency", + "æŁ ³", + "Ġ( ;", + "ĠÑĩ ове", + "ick ets", + "Ġcom ercial", + "Ġintern acionals", + "Ġs igh", + "ĠBr asil", + "çĶŁæ´» çļĦ", + "Ġqu ark", + "Ġst amp", + "co ok", + "å¥ Ī", + "ĠD raw", + "æĥ ij", + "unci ar", + "åı¸ æľº", + "Ġenthus iasm", + "d ra", + "* \"", + "Ġdis rupt", + "Ġrelax ation", + "im iento", + "Ġhum ble", + "est il", + "Ġg roc", + "() ))", + "t b", + "åĽŀ çŃĶ", + "Ġelement ary", + "G H", + "rest rict", + "ĠÐĺ ÑĤалиÑı", + "ac ies", + "Ġreason ably", + "èĪª 空", + "P aul", + "åij µ", + "å°Ĩ åľ¨", + "èĢĥ çĶŁ", + "Ġко ман", + "Ġconserv ative", + "Ġhe ter", + "en ance", + "Ġnurs ing", + "Ġper f", + "ow ski", + "b inary", + "Ġdress ing", + "Ġtransl ated", + "çļĦ ä¸Ń", + "? .", + "Ġb ass", + "ĠAct iv", + "Ġpreced ing", + "Ġart istic", + "Ġst ocks", + "ĠV III", + "Ġmass age", + "air y", + "Ġi Cloud", + "l c", + "idd ing", + "st rip", + "ĠPro blem", + "å¹³æĸ¹ ç±³", + "Ġto y", + "ci pl", + "- ,", + "Ġd é", + "grad ient", + "Des ktop", + "ĠAss istant", + "Ġfool ish", + "\\ /", + "Ġ' ',", + "cons istent", + "Ġsup per", + "u uid", + "w indows", + "ĠС ве", + "Ġrec ru", + "Copy right", + "Ġaqu ell", + "Ġo xygen", + "un defined", + "Ġu k", + "æīį ä¼ļ", + "Stand ard", + "f are", + "- .", + "p riv", + "st an", + "èĬ ³", + "St ill", + "Ġоб Ñīе", + "ĠNot es", + "Ġa u", + "d riven", + "ĠK ids", + "Wh ite", + "ar ith", + "ĠC ell", + "æį IJ", + "Ġ ÃŃ", + "ä»İ æĿ¥", + "Ġd well", + "Ġaccommod ate", + "L I", + "Ġfear s", + "åł µ", + "Ġб ÑĢаÑĤ", + "Ġl ung", + "Ġconvers ations", + "? ,", + "H tml", + " ©", + "ant es", + "st ru", + "ĠÑģÑĤÑĢа наÑĤа", + ": @", + "æĿĥ åĪ©", + "Ġrelig ios", + "\" (", + "fore ach", + "Ġcompet e", + "om as", + "am ination", + "Ġst olen", + "让 ä»ĸ", + "gl as", + "à ¥", + "на ÑģÑĤи", + "好 好", + "ä¸ĸçķĮ ä¸Ĭ", + "Ġp ile", + "çĽ Ĺ", + "Gener ated", + "Ġfound er", + "ĠСевеÑĢ на", + ";\\ ;\\", + "ĠS everal", + "Ġs ender", + "Ġparticip ating", + "Ġcomp ress", + "Ġsigu i", + "æĸĩ åѦ", + "го лÑı", + "ĠTur k", + "åĨ »", + "æľī 没æľī", + "L iter", + "ĠBr un", + "abil itat", + "t le", + "end re", + "Ġrelax ed", + "Ġug ly", + "æĸ¹ çļĦ", + "Ġup set", + "Ġj er", + "B ound", + "ĠW r", + "Ġver bs", + "ĠClass ic", + "å¾Ī å°ij", + "ĠHD MI", + "çŁ¥ åIJį", + "æģ ¨", + "ox y", + "Ġis ot", + "ĠL ot", + "Ġcompos ite", + "ĠH R", + "D en", + "Ġel astic", + "Ġsnap shot", + "C ursor", + "Ġsuggest ing", + "Ġgl orious", + "Ġal umn", + "ĠD in", + "ĠðŁĻ Ĥ", + "Ġne arer", + "ID TH", + "æIJŃ è½½", + "Ġ' ';", + "Ġj ue", + "Ġenc ryption", + "Ġdial ect", + "nav List", + "Ġp ots", + "pass ed", + "åij¨ è¾¹", + "ĠT yp", + "Ġadjust ed", + "her ical", + "ĉ [", + "Ġdomin ated", + "Ġг а", + "ÐĿ о", + "Ġrec or", + "not ag", + "se cret", + "д оÑĢ", + "çīĪ æĿĥ", + "col es", + "åıį èĢĮ", + "Ġenc rypted", + "Ġm èt", + "ĠIN S", + "He alth", + "ĠJ S", + "Ġann iversary", + "æ·± åĪ»", + "Ġcritic ism", + "est udi", + "Ġformer ly", + "ĠB uck", + "Ġfo am", + "âĪ Ĵ", + "Ñģи л", + "Ġimm ense", + "ple asant", + "Ġy oga", + "èµ ł", + "ĠJ ay", + "pl ess", + "Ġav ui", + "Sh ape", + "ab ol", + "ä¸Ĭ ä¸Ģ", + "d ale", + "é¢Ħ æľŁ", + "Ġext ending", + "åı ī", + "op ort", + "Des ign", + "ar ial", + "æľī 个", + "Ġeas tern", + "Ġfrag ments", + "out ube", + "Im peri", + "ä¸Ģ æĺ¯", + "Ġа нг", + "Ġinform ació", + "Ġf usion", + "Ġmark er", + "ben ch", + "ĠO bserv", + "Ġimplement ing", + "åĽ´ ç»ķ", + "effect ive", + "Ġa rose", + "å°ı ç±³", + "Ġprivile ge", + "Ġmunt anya", + "IS H", + "Ġetern al", + "ä¸ĩ 人", + "ĠK ings", + "man agement", + "Ġ Ñĩа", + "for Each", + "га н", + "J ack", + "Ġquar ters", + "éĤ »", + "ri k", + "Ġg le", + "ĠN ation", + "Ġactiv ate", + "... ]", + "ac i", + "ĠH it", + "ĠT alk", + "åįı è°ĥ", + "test s", + "c ass", + "ograph ical", + "ĠG h", + "ta h", + "на ÑģÑı", + "Ġa unt", + "ди о", + "Ġter res", + "же ÑģÑĤво", + "Ġin coming", + "ĠC NN", + "itut ed", + "æĭĴ ç»Ŀ", + "Ġlaw yers", + "f actory", + "ĠL ane", + "ĠG ray", + "èľ Ĥ", + "ĠBel g", + "es see", + "ĠReg ional", + "Ġhar sh", + "пÑĢо ÑģÑĤÑĢан", + "ab e", + "method s", + "ĠE ve", + "List en", + "Ġdefault s", + "на ÑĤ", + "ĠMart ÃŃ", + "ĠMa ur", + "ĠA F", + "Ġexpl oration", + "+ Ġ", + "Ġda wn", + "åĬŀåħ¬ 室", + "в наÑĤа", + "ĠD omin", + "Ġact ed", + "Ġиз кÑĥ", + "éĶ» çĤ¼", + "ĠN ev", + "ĠCom ment", + "gt k", + "磼 çĽ¾", + "Ġcl Ãłss", + "Ġduplic ate", + "UR N", + "Sn ap", + "åħ¬ åijĬ", + "å¤Ħ ç½ļ", + "åħ¬ çĽĬ", + "id y", + "ĠJ enn", + "Ġfab ulous", + "ĠPer fect", + "Ġconf using", + "pro be", + "ĠJ ess", + "ĠA B", + "âĦ ĥ", + "éĽĨ ä½ĵ", + "Ġpart e", + "Ġclass Name", + "ç²¾ åĩĨ", + "é¸ £", + "çļĦ å°±æĺ¯", + "åIJ¬ åĪ°", + "ann ah", + "Ġblog s", + "æĺ¯ éĿŀ常", + "åIJĦ ä½į", + "atal og", + "Ġincorpor ate", + "Ġg ust", + "Aug ust", + "QUE ST", + "å¯ Ħ", + "n v", + "но ÑģÑĤи", + "ĠUn less", + "ĠÐij еÑĢ", + "éĤ ¦", + "Ġma id", + "ĠV inc", + "VAL ID", + "Ġar reg", + "u ï", + "Ġl ane", + "ĠS to", + "ĠMiss ouri", + "é¢ ĸ", + "Ġpray ers", + "esp èc", + "ми ÑĢ", + "empres a", + "sw ing", + "Ġmathemat ical", + "Ġco ord", + "oun ge", + "æľī å¤ļ", + "os ph", + "åĽ Ĭ", + "Ġaccept ance", + "é£ŀ æľº", + "Ġbuck et", + "Ġrefr iger", + "ç½ ©", + "ĠM atch", + "çĩ ¥", + "Ġprom oting", + "gg reg", + "Ġp á", + "ĠÐŀ б", + "éĢIJ æŃ¥", + "ĠH ell", + "Ġal pha", + "A z", + "Ġd bo", + "ä¿ Ĭ", + "女 åŃIJ", + "am ar", + "ли ÑģÑĤ", + "å°Ŀ è¯ķ", + "Valid ation", + "åı¸ æ³ķ", + "Ġfacilit ate", + "м б", + "Ġtok ens", + "Ġv oted", + "Y e", + "ve ct", + "Ġar que", + "let ic", + "IL D", + "Ġs nd", + "Ġvis ibility", + "sl ant", + "ate ur", + "ä½ı æĪ¿", + "Return s", + "Ġannoy ing", + "åĩı èĤ¥", + "Ġcom port", + "ra ine", + "ĠAr gent", + "Ġcas ar", + "ĠRef erence", + "b eg", + "ĠPrin cess", + "ĠI X", + "t alk", + "mer ge", + "Ġtremend ous", + "Ġmid night", + "oc om", + "Ġllib res", + "C ook", + "est e", + "Ġprison er", + "ä¹Ł ä¸įä¼ļ", + "ĠSe ason", + "ĠH arris", + "Lay ers", + "Cond ition", + "Ġel if", + "Ġcampaign s", + "b id", + "äºĴ åĬ¨", + "pl acement", + "Ġmanus cript", + "ĠÑĦ ÑĢен", + "off s", + "Ġuncertain ties", + "Ġ\\ \"", + "Ġun fortunate", + "Ġspeed s", + "' _{", + "nd rome", + "ĠнагÑĢа да", + "H om", + "M arch", + "åij¨ åĽ´", + "èĥ Ģ", + "Ġs lope", + "av an", + "Ġpres ència", + "éĤ£ ç§į", + "ĠÑĩ лен", + "us ió", + "ĠSh akespeare", + "éĢĤ å½ĵ", + "------------ -", + "column s", + "el ines", + "Ġat omic", + "Ġthr ust", + "c ity", + "Ġev itar", + "Ġpse udo", + "Ġvari ants", + "how ever", + "Ġdescript ions", + "Ġa z", + "or o", + "t ogether", + "Ġfor a", + "Ġattract ed", + "ÑĦоÑĢ ма", + "ĠL ap", + "cs v", + "ak h", + "Ġc iv", + "OL D", + "Ġbul let", + "Ġm ate", + "Ġsal ut", + "Ġc ob", + "па ниÑı", + "P y", + "ĠFor um", + "S ite", + "ĠNot ice", + "两 ç§į", + "Un fortunately", + "Ġap ost", + "Ġsub str", + "æīĵ åĩ»", + "ĠD éu", + "Ġf ishes", + "Ġde u", + "Ġh ired", + "Ġto b", + "Ġpurch ases", + "Ġpublish ing", + "é£ ĺ", + "æ°Ķ è´¨", + "p ci", + "åĬŁ æķĪ", + "/ {", + "ĠO regon", + "å´ ĩ", + "ĠG row", + "R ich", + "Ġg em", + "Ġsubsequ ently", + "Ġc ement", + "Ġland ed", + "Ġce ased", + "R a", + "æĶ» åĩ»", + "* }{", + "T x", + "ĠS creen", + "è° IJ", + "Ġcov ari", + "S an", + "Ch ain", + "Ġpop ulations", + "п ла", + "an alysis", + "Ġмо гаÑĤ", + "Ġsim ulated", + "Ġcon du", + "D ictionary", + "f und", + "ĠÑģ л", + "å®ŀ è¡Į", + "мен ÑĤи", + "Qu estion", + "Ġprodu cer", + "ä¸Ģ çĶŁ", + "Ġremind ed", + "ĠWH EN", + "ĠR io", + "Al tern", + "Rem ote", + "ĠFou rier", + "Ġtrad icional", + "e enth", + "ĠIs a", + "Av ailable", + "Ñĩ ваÑĤ", + "Ġevol ucion", + "ig ator", + "Ġde ce", + "or ials", + "Ġl uego", + "ĠÑĨен ÑĤÑĬÑĢ", + "Ġdesper ate", + "Ġem issions", + "Ġbench mark", + "Ġ= ======", + "con sum", + "code c", + "Ġг ÑĢÑĬÑĨ", + "æłĩ å¿Ĺ", + "Ġserv idor", + "Ġsimilar ity", + "Ġw ed", + "æ» ¨", + "ĠÐIJ лекÑģанд", + "åŀ Ĥ", + "Ġhol der", + "ĠBu en", + "Ġжи ве", + "comm ons", + "åij¨ æľŁ", + "Ġf oss", + "Ġbasket ball", + "æĤ ł", + "Ġthe sis", + "Ġplant es", + "p ie", + "ĠCH AR", + "ä¹Ł 没", + "ĠCont ract", + "j os", + "Ġtrig gers", + "ÑĤ но", + "\"\" \"", + "Ġex tern", + "Ġch ampion", + "enc er", + "çļĦ çĥŃ", + "do ors", + "im et", + "Ġclass ified", + "deg ree", + "Ġest r", + "Ġharm ony", + "æĺ Ĩ", + "r ance", + "го воÑĢ", + "Ġbond s", + "Sh are", + "Ġam en", + "Cle ar", + "Ġtext s", + "æĶ¶ èİ·", + "Ġes a", + "ĠMem orial", + "Ġmuest ra", + "Ġrend ering", + "S B", + "Ġi bn", + "Ġj am", + "м но", + "ine a", + "B ottom", + "ĠOr ange", + "dev ices", + "ĠP om", + "ĠH u", + "Ġcent res", + "ĠG raph", + "è¾ ĸ", + "Ġdo ctrine", + "ĠTh under", + "UT E", + "ĠSol utions", + "Ġbug s", + "pt o", + "Ġactiv ation", + "Ġconsecut ive", + "ĠSe attle", + "Ġcontin ent", + "ĠP sych", + "A qu", + "èIJ¥ ä¸ļ", + "Ġind oor", + "Ġmod ific", + "ĠCin ema", + "ĠC ry", + "ĠÑĦ е", + "Object s", + "Ġcost a", + "Ġin ici", + "he ard", + "ÑĢа й", + "ка де", + "R ows", + "ac re", + "è´ ª", + "é«ĺ 级", + "Ġreconst ruction", + "tain ing", + "åĪĽ ä½ľ", + "Ġno on", + "ast ia", + "p ract", + "é«ĺ 端", + "Ġutter ly", + "W as", + "çº ½", + "P red", + "H or", + "ÑĤ ÑĬÑĤ", + "Ġgood ness", + "çŁ ©", + "Ġdirect ors", + "En vironment", + "ä»Ĭ æĹ¥", + "Ġabs urd", + "è£ħ 饰", + "Ġutil iz", + "unt il", + "Ġw iring", + "ĠN ich", + "Ġoff line", + "Ġimp uls", + "ĠBet ter", + "sh arp", + "æѤ åīį", + "Ġadministr ative", + "charg ed", + "P HP", + "ent rada", + "ĠL ater", + "inc ial", + "æijĦ å½±", + "Ġbe ars", + "Ġdiagn osis", + "Ġc ents", + "E conomia", + "ĠÑħ Ñĥдо", + "Ġmet res", + "Ġllat ÃŃ", + "å°Ĭ éĩį", + "Ġcontrad ict", + "Ġme itat", + "ĠVol ta", + "Err ors", + "Ġtal ented", + "ess ed", + "Ġproblem es", + "m pl", + "Ġw are", + "ÑģÑĤ ÑĤа", + "Î º", + "ĠN VIDIA", + "m ist", + "Ġsearc hes", + "Ġd ried", + "inet ic", + "Ġdevelop ments", + "н ни", + "Ġsing er", + "ap ps", + "Ġnull ptr", + "Oper ator", + "ĠÐĺ ван", + "ĠLlu ÃŃs", + "æİ¥ è¿ij", + "Ġautom ated", + "åħĪ åIJİ", + "çŃĸ çķ¥", + "Ġcon volution", + "Ġg onna", + "çľĭ è§ģ", + "åł ª", + "Fl ag", + "å¿ĥ ä¸Ń", + "Run ning", + "ĠB attle", + "ĠĠĠĠĠĠĠĠ Ġ<", + "ÑĢи ÑģÑĤи", + "Ġsmart phone", + "Ġfasc inating", + "r ÃŃa", + "ific ates", + "Ù ħ", + "Ġs ant", + "Ġcor p", + "Not ification", + "Ġb ust", + "å½ĵ 天", + "Ġfe ather", + "re peat", + "d ie", + "Ġpet ition", + "itt y", + "Ġover lap", + "Ġhospit als", + "Ġf ame", + "æµ· å¤ĸ", + "æij ĺ", + "ĠIm per", + "é½ ¿", + "ĠS ax", + "the ms", + "Ġequ ity", + "Ġmist aken", + "Ġachieve ment", + "ĠF ish", + "Ġend point", + "ÃŃnce p", + "ĠR T", + "lÃŃ n", + "(\" %", + "Ãłt ics", + "æ¶Ī åĮĸ", + "ĠR esta", + "Ġpl at", + "pos itions", + "Ġpe aks", + "B ay", + "bo at", + "Ġess ays", + "Ġle isure", + "Ġret rieve", + "æĪĸ æĺ¯", + "Ġencour aging", + "An imation", + "Ġcitiz en", + "мини ÑģÑĤÑĢа", + "av i", + "Ġcapacit ance", + "Ġinter vention", + "Ġmig ration", + "U A", + "x f", + "ви Ñĩ", + "æĹł çĸij", + "è° ¨", + "comfort able", + "пÑĢоÑģÑĤÑĢа нение", + "oc ity", + "hab itat", + "ĠE M", + "å¹¼åĦ¿ åĽŃ", + "Ġemploy ers", + "C G", + "r p", + "Ġbase ball", + "f its", + "Ġbr ut", + "on ces", + "æł¡ åĽŃ", + "ĠC AN", + "Ġvi ure", + "Ġex empl", + "åı Ķ", + "ĠF ive", + "mar ès", + "NE W", + "ĠC trl", + "ĠC her", + "è¡Ģ åİĭ", + "cont ents", + "зи ден", + "Ġt y", + "ĉ -", + "Ġin iciar", + "两 å¹´", + "éĵ ľ", + "Ġdens itat", + "phant om", + "Ġcol ored", + "м ÑĬÑĤ", + "ne ath", + "Ġfl ame", + "Ġc raw", + "Ġus u", + "æµ ¸", + "Ġbab ies", + "Ġfrances a", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠ$", + "ex ion", + "ĠPe ace", + "b undle", + "bro ken", + "Ġavoid ed", + "ĠMod ule", + "Ġweight ed", + "Ġto ys", + "è d", + "Ġdeclar ation", + "á nd", + "Âł mil", + "ĠMon itor", + "Ġinv itation", + "Ap ply", + "ĠMag ic", + "Ġte cn", + "back up", + "ĠÑĩ Ñĥ", + "对 æ¯Ķ", + "鼶 åĶ®", + "Ġs es", + "ent i", + "arthe ta", + "åį ĵ", + "read er", + "Ġp on", + "Ġsub group", + "ĠС ÑĤо", + "æıIJ 示", + "n ature", + "ĠJ ason", + "Id s", + "Ġcollect ing", + "Ġl ap", + "Ġanaly zed", + "v artheta", + "Ġmed ian", + "ĠOr leans", + "Ġpeace ful", + "Further more", + "M en", + "Ġcolor ing", + "Ġatt ain", + "Ġc p", + "oc aml", + "éĴ »", + "ym an", + "ĠPhil ipp", + "Ġvulner able", + "éģĵ çIJĨ", + "ĠTur key", + "Ġmedic ation", + "ĠN elson", + "Ġsophistic ated", + "Ġa est", + "Ġdis ks", + "Ġclassific ades", + "all classes", + "Ġinf lam", + "æ¡ Ĩ", + "é»ij èī²", + "ÑĨи о", + "hy thm", + "ĠT itle", + "ĠV i", + "åħ¨ çľģ", + "çĤ ī", + "ĠHig gs", + "dat os", + "AT TR", + "çļĦ 主è¦ģ", + "å» ī", + "пиÑģ ва", + "anc ies", + "Ġodd s", + "; --", + "Ġinterview s", + "B ad", + "ser ial", + "Ġdur able", + "M W", + "ä»ħ ä»ħ", + "Ġoptim ize", + "Ġst air", + "Ġarg ued", + "Ġterc er", + "Ġtack le", + "æĹł æķ°", + "æħ ķ", + "vert ical", + "Ġre hab", + "ĠA the", + "am ous", + "id as", + "Ġsubst itu", + "ag ne", + "æĪij 说", + "o j", + "Ġf uck", + "Ġap par", + "è¯ Ī", + "认 åı¯", + "t ell", + "åIJĪ éĢĤ", + "并 éĿŀ", + "Ġpro to", + "åİ ¦", + "ä¹ĭ ä¸ĭ", + "æľī æŶåĢĻ", + "å¿ĥ æĥħ", + "c v", + "æĻ® éģį", + "Ġrank ed", + "Ġlast ing", + "Ġver ification", + "Ġenc uent", + "Ġp ound", + "人 家", + "Ġcan n", + "ĠTr ack", + "ĠK elly", + "ç³ ķ", + "Ġdraw s", + "æĹ¥ èµ·", + "Ġsqu ee", + "ĠÐľÐ° ÑĢиÑı", + "Ġm u", + "man ys", + "ĠA th", + "ĠD J", + "ĠN T", + "Ġcou ch", + "Ġrepeated ly", + "ĠC arm", + "Ġcompat ibility", + "ĠBel ow", + "Ġcanç ó", + "Ġreflect s", + "Ġsh aped", + "Ġover se", + "ĠP WM", + "Ph il", + "Ġrat ios", + "Ġengine ers", + "Ġpod cast", + "Ġoverwhel ming", + "m is", + "Ġint imate", + "be at", + "Ġbuild s", + "K ing", + "Ġscreen ing", + "ĠÐĴ ÑĬ", + "Ġh ither", + "em b", + "åħ¬ 交", + "èĬ Ŀ", + "S il", + "e an", + "sat isf", + "h ouses", + "ar ma", + "K it", + "Ġcry ing", + "F UN", + "Ġred und", + "p k", + "ĠM and", + "ве ни", + "æĸ° 浪", + "ĠEvery one", + "Ġaltern ate", + "Ġshel f", + "ĠWh it", + "ĠA y", + "Ġest ructura", + "enc ode", + "Ġdecre asing", + "Ġpse ud", + "rem ote", + "Ä «", + "Ġr ays", + "Ġrad ical", + "Ġc ables", + "ĠQu estion", + "uel ve", + "çī¹ å¾ģ", + "Ġfis cal", + "Ġen contr", + "ac cur", + "rom agnetic", + "车 主", + "ĠCl ark", + "头 åıij", + "olog ists", + "on ut", + "ĠY a", + "in formation", + "è¾ ©", + "ç±» åŀĭ", + "d og", + "ĠS ex", + "Ġ\" );", + "便 æĺ¯", + "Ġst ere", + "Ġdelight ful", + "Ġmiss ions", + "Ġback ups", + "ĠÐĵ ÑĬÑĢ", + "Ġsort ed", + "text color", + "Ġim posed", + "Ñĩе ÑģÑĤво", + "Ġderiv atives", + "Ġv oting", + "{ '", + "te enth", + "Ġten nis", + "ĠCal cul", + "U X", + "rel ative", + "Ġexecut ing", + "c art", + "ĠOption al", + "临 åºĬ", + "g ie", + "st ab", + "Ġearn ings", + "åı ¹", + "Ġsuppl ier", + "Ġregul atory", + "Ġam ple", + "ĠCle ar", + "Ġ! !", + "Ġmin erals", + "Ġthreat ened", + "òn im", + "ĠCl ar", + "èĻ ¾", + "Apr il", + "t is", + "math it", + "Ġvot ers", + "ĠV A", + " «", + "Ġjum ped", + "Ġcar n", + "Ġfamil iars", + "æĪIJ åĪĨ", + "å¿ħ çĦ¶", + "ĠR ain", + "ast a", + "let te", + "ĠGl ass", + "ĠA ve", + "Es glésia", + "Ġexplain ing", + "Ġun ited", + "ĠJ en", + "Ðĵ ÑĢа", + "gh an", + "inter pret", + "ĠÐłÑĥ ÑģиÑı", + "Ġcrow ded", + "en ial", + "ĠФÑĢан ÑĨиÑı", + "Ġlight ly", + "Ġprov a", + "Ġprim itive", + "Ġfun eral", + "Ġint im", + "C ALL", + "ĠU l", + "Ġanal yst", + "ĠW el", + "M ail", + "Ġspecial ized", + "ĠG ordon", + "all ing", + "çĸ ¯", + "Ġisol ation", + "ĠDe an", + "èĤ ĥ", + "Có mo", + "agrang ian", + "T urn", + "Ġf u", + "at om", + "ph ysical", + "O bs", + "ĠT oy", + "Ġs v", + "Ġl ag", + "Ñħ ай", + "Ġdesc obert", + "Ġper ception", + "æī ®", + "ĠAd ams", + "Ġf oo", + "Ġinflu enced", + "ĠE g", + "Ġele ctions", + "Se pt", + "éĤ£ éĩĮ", + "urch ase", + "C a", + "m ix", + "Ġo live", + "Ġz á", + "ĠReg ion", + "Ġpot atoes", + "Ġaqu ÃŃ", + "M ask", + "text normal", + "Ġw ool", + "Ġcont empl", + "Pat rimoni", + "Ġ( {\\", + "Ðĵ е", + "ĠC ole", + "ú nic", + "çļĦ 产åĵģ", + "Ġfurn ished", + "Ġsing les", + "r ó", + "å¾ ½", + "Ġes ment", + "å¨ ĥ", + "ĠExper ience", + "us ive", + "èĦ Ĩ", + "ĠCon c", + "空 è°ĥ", + "ĠcarÃłct er", + "èĴ ľ", + "un to", + "ret ch", + "ch at", + "oc key", + "ĠWork ing", + "c ia", + "Ġharm on", + "equ ations", + "å±ħ ä½ı", + "ĠAb stract", + "Ġinf er", + "ud ge", + "ç´ł è´¨", + "Ġun stable", + "{ *}", + "ad ays", + "Ġpropor cion", + "L ord", + "åŁİ åĮº", + "Ġtr am", + "åĩĨ ç¡®", + "Ġsex e", + "ĠPR IMARY", + "ĠF resh", + "к ла", + "l ass", + "im en", + "******************************** ********************************", + "select or", + "æµģ ç¨ĭ", + "ĠC G", + "Ġlaugh ter", + "ĠAlg orithm", + "Ġsel dom", + "Ġfl or", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠ", + "Ġconnect s", + "\" ];", + "Ġimp at", + "IN ST", + "åĩŃ åĢŁ", + "Ġca res", + "d ue", + "Ġproduct ivity", + "le arn", + "Ġp ont", + "e ight", + "Ġo mitted", + "ĠAn aly", + "h id", + "Ġcred entials", + "f actor", + "Ġpl ots", + "Ġder rot", + "Ġch rom", + "cor ollary", + "te le", + "ì Ŀ", + "Ġf led", + "Ġmotiv ated", + "Ġs ore", + "ĠM Y", + "ĠP ierre", + "Ġal b", + "Ġpro xim", + "cept ions", + "Ġcl erg", + "ur als", + "pol y", + "Ġgaz e", + "Ġd ess", + "Ġbar ri", + "IG H", + "ï nes", + "N a", + "g mail", + "r ig", + "æĽ´ 为", + "Ġstation ary", + "åħ³ å¿ĥ", + "ĠP ad", + "P DF", + "ĠS erv", + "Ġcry st", + "RE SS", + "wl wifi", + "ĠP ra", + "Ġdef init", + "Ġla zy", + "get String", + "ĠCom b", + "z illa", + "ãĢĭ ãĢĤ", + "Pl ace", + "tri angle", + "C B", + "ĠN avy", + "yl on", + "F ace", + "R ate", + "Ġcorrupt ion", + "Ġsp okes", + "æ³ķ åĽ½", + "ip art", + "ĠY ears", + "ĠP P", + "Ġbe ast", + "è¿ij å¹´æĿ¥", + "Ãłr qu", + "us c", + "ä¸Ī 夫", + "ĠF urn", + "Ġ ÑĪи", + "ul k", + "N ov", + "ĠV it", + "Ġcontain ers", + "w arn", + "ĠIt Ãłlia", + "ĠJa ume", + "ch t", + "Ġno ves", + "Ġза вÑĬÑĢÑĪва", + "ĠDemocr atic", + "Ġan ual", + "J une", + "av ier", + "离 å©ļ", + "lyph icon", + "per o", + "Ġmoist ure", + "Ġse ve", + "ĠHow ard", + "Ġre wards", + "par ing", + "Ġcreat ivity", + "Ġcoll isions", + "ĠпÑĢо ек", + "æĿŃ å·ŀ", + "Ġsol ucion", + "int s", + "Ġfest iv", + "æĮ ¤", + "ull s", + "e fficient", + "ĠFore ign", + "is ot", + "Ġall erg", + "Ñħ иÑı", + "ĠCO VID", + "转 åŀĭ", + "Ġfeas ible", + "ĠS PI", + "str ument", + "æī§ æ³ķ", + "ĠGe V", + "çĸ«æĥħ éĺ²æݧ", + "ĠPart ners", + "C la", + "Ġbe ans", + "Ġfer ro", + "Ġintegr ate", + "H on", + "RO W", + "ĠSp ot", + "Ġb ite", + "Input Stream", + "Ġale manys", + "çļĦ æľºä¼ļ", + "第 äºĶ", + "ĠD allas", + "Ġcons ume", + "ж иÑĤел", + "ĠFoot ball", + "ĠT ools", + "å± Ī", + "è§Ħ å¾ĭ", + "Ġgravit ational", + "Ġn ap", + "Ġdist ress", + "ĠТ Ñı", + "ĠLaw rence", + "å¦Ĥ ä¸ĭ", + "ĉ p", + "Ġs b", + "ential ly", + "y ll", + "è¾ħ åĬ©", + "ĠS ad", + "ext end", + "ä» °", + "Ġindivid ually", + "Ġbe ating", + "ur u", + "Ġimpro ves", + "ign ation", + "Ġvend ors", + "O cc", + "h olds", + "Ġjud ges", + "ĠC ool", + "Ġprivile ges", + "Ġ( @", + "Ġperturb ation", + "ibliot eca", + "Ġoper ates", + "Ġconsider ations", + "åıij è¡Į", + "Ġprotect ing", + "Ġswe pt", + "Ġj ar", + "Sk ip", + "Ġim plications", + "Ġsh o", + "Ġbet ray", + "Ġcult ures", + "gre SQL", + "Ġsal ad", + "al tern", + "ĠCl inton", + "Ġmotiv ation", + "Ġdes cent", + "件 äºĭ", + "thems elves", + "Ġacceler ation", + "Ġstain less", + "Ġlumin osity", + "in herit", + "Ġпо ÑģÑĤÑĢо", + "F D", + "Ġto m", + "col Last", + "as ters", + "Ġми ни", + "Ġh alt", + "Ġfle w", + "ĠE FI", + "ĠViet nam", + "rub y", + "éĤ£ å°±æĺ¯", + "ĠX box", + "Ġaffect ing", + "ĠN FL", + "tain ment", + "ĠGal axy", + "Ġdivor ce", + "n ol", + "Ġout fit", + "F ix", + "Ġh iring", + "Ġde emed", + "ator ial", + "ĠTerm s", + "åĽº å®ļ", + "he ets", + "az i", + "ĠJord i", + "Ġcharg er", + "å¼ ¥", + "Ġ ò", + "Ñģе ÑĤ", + "ink le", + "们 çļĦ", + "éĥ¨ çļĦ", + "å±ı å¹ķ", + "Ġagreg ar", + "Ġeconòm iques", + "Ġresp uesta", + "N amed", + "ĠG P", + "ĠIs lands", + "Ed ificis", + "Ġgu ided", + "ĠG ent", + "Ġunivers ities", + "Ġpers istent", + "in ely", + "Des pite", + "ĠFriend s", + "Âłmil ions", + "ad ers", + "Ġover night", + "åĢº åĬ¡", + "ant iga", + "Ġh alo", + "Ġwhere in", + "ĠG Hz", + "Ġsp awn", + "sim ilar", + "ĠAnd y", + "æ³ Į", + "Ġrest es", + "n vidia", + "ĠС Ñĥ", + "主 ä½ĵ", + "Ġpat ches", + "в Ñģки", + "Ġwarn ed", + "ĠChar lie", + "us k", + "-------- ---", + "ба ÑĤа", + "åĵ ²", + "Ġre pro", + "s b", + "ĠÑģе зон", + "C red", + "Ġval ued", + "Ġjewel ry", + "W ORD", + "Ġcar b", + "C ong", + "G N", + "m essages", + "? --", + "cl one", + "æ³ Ħ", + "ous ing", + "ä¸Ģ å¼ł", + "ÑĤи ÑĢи", + "back slash", + "éĥ İ", + "Ġexpl ot", + "Ġcur s", + "Off ice", + "Ġm p", + "Ġbank ing", + "with in", + "ĠWis consin", + "Ġeigen values", + "launch pad", + "ĠP ER", + "Ġpat ron", + "s ized", + "allow een", + "çĽ Ĵ", + "Ġtreat ing", + "e ither", + "L i", + "ÑģÑĤа но", + "èİ· åıĸ", + "Ġorb ital", + "ió s", + "éª Ĥ", + "val or", + "Ġpregn ant", + "Ġb rowse", + "m nt", + "æĻ °", + "Ġgr asp", + "o ffic", + "Ġquadr atic", + "T ele", + "ad ir", + "Ġprev ents", + "è¯ ŀ", + "ĠQ GIS", + "Ġround s", + "ĠP ap", + "Ġnot ify", + "Ġfor cing", + "oss ible", + "å¤ ¹", + "ĠEd it", + "it ated", + "失 åİ»", + "Ġur ged", + "ĠH ero", + "èī¯ 好", + "Ġlli ure", + "Ġm ari", + "d ensity", + "æĤ Ķ", + "Ġcorrect ed", + "ĠAM D", + "f at", + "Ġs ue", + "Ġass ure", + "numer us", + "ĠMaj esty", + "ĠĠĠĠĠĠĠĠ |", + "Ġad option", + "Ġmed alla", + "æģ ¼", + "Ġaddition ally", + "ĠM un", + "Ġinqu iry", + "ни ÑĨиÑĤе", + "Ġmat em", + "ul at", + "Ġrank ing", + "Ġd f", + "W in", + "her ic", + "Ġo w", + "éĩij å±ŀ", + "Ġthreat s", + "Bl ue", + "Ġte oria", + "ĠAtl anta", + "numerus form", + "Ġun happy", + "C enter", + "çļĦ æ°´", + "ĠPed ro", + "ĠSam uel", + "Ġoff ense", + "ov á", + "Ġper mut", + "Ġrec ur", + "Ñħ е", + "æķ´ æ²»", + "ĠС ан", + "Ġst ub", + "ĠB ah", + "Ġsp ac", + "Ġdr unk", + "æĥħ æĦŁ", + "Ġle ase", + "Ġdist ribut", + "Ġstret ched", + "Di agn", + "Ġp aused", + "ĠGr ad", + "ÑĪе ние", + "Ġjub il", + "身 æĿIJ", + "re re", + "F n", + "çľĭ äºĨ", + "Ġch rome", + "çŀ¬ éĹ´", + "Ġpol ygon", + "ĠF I", + "Ġdiff usion", + "ĠÑģ ÑĤÑĢо", + "çĹħ 人", + "ĠB illy", + "Ġsuper b", + "ĠCon struct", + "x html", + "Ġb und", + "ç¨ ¿", + "ãĢĭ ãĢĬ", + "å¾ ¡", + "во бо", + "ĠE R", + "*} [", + "o i", + "ne igh", + "valid ate", + "a ware", + "Ġg ambling", + "qu ick", + "Ġult ra", + "å« ģ", + "Ġn ing", + "Ġcont rolling", + "ĠоÑĤ де", + "Ġess ence", + "ĠE mb", + "æį ķ", + "sur face", + "Ġhol low", + "ke e", + "The ir", + "Ġseem ingly", + "al ong", + "Ġn s", + "Ãłb itat", + "Ġim aging", + "Ġinv as", + "Ġattach ment", + "Ġbuy er", + "ĠRep air", + "Ġcomun itat", + "Ġна ÑĢо", + "å±ķ å¼Ģ", + "Ġinform al", + "Ġsacr ific", + "ĠA part", + "Ġdirig ir", + "Ġd ibuix", + "Ġauthor ized", + "Ġperson atges", + "part ition", + "part icular", + "Esport istes", + "ĠPh ill", + "> =", + "Ġsh oe", + "Ġимпе ÑĢа", + "Ñīа йн", + "Ġprint s", + "lah oma", + "Min erals", + "S ame", + "ĠS ent", + "itc her", + "oubt edly", + "强 çĥĪ", + "Ġsu cc", + "p ast", + "Ġhand ful", + "Ġ ou", + "Ġd war", + "Ġе кÑģ", + "Ġcompass ion", + "Ġr amp", + "Ġinvest ing", + "åľ° çĤ¹", + "ĠBut ton", + "西 å®ī", + "ĠM enu", + "Ġsk i", + "Com pos", + "e ous", + "Ġsub mission", + "ĠC HECK", + "Ġsecre ts", + "Ġpolar ization", + "èħ »", + "Ġfellow s", + "text sf", + "Ġspec ially", + "Ġperson atge", + "ater al", + "Ġж иÑĤели", + "ĠB apt", + "ĠW oman", + "å¾Ĺ åĪ°äºĨ", + "ĠQu ant", + "Ġinclo ent", + "c rypt", + "Ġf el", + "d ump", + "Ġachie ving", + "ÑĪ на", + "Ġeat en", + "C ity", + "åĸ Ĭ", + "Ñģе л", + "H ard", + "Ġdisag ree", + "з ване", + "; )", + "ĠSc ient", + "Ġpropiet aris", + "Ġproduct ive", + "Const ant", + "å±¥ è¡Į", + "w ire", + "åŁºæľ¬ ä¸Ĭ", + "Ġb ark", + "Ġret ro", + "] -", + "s ocial", + "AP P", + "æ¡Ī ä¾ĭ", + "åľ° çļĦ", + "tim estamp", + "Ġpregn ancy", + "LO AD", + "æ· ĭ", + "æĬĢ å·§", + "åľº æ¯ĶèµĽ", + "Ġj acket", + "col First", + "ex act", + "å² ³", + "è§Ĩ è§ī", + "æĭ ¨", + "å½¢ æĢģ", + "D an", + "Ġc aut", + "ĠHel en", + "ang led", + "ĠInd iana", + "ib us", + "es is", + "大 å°ı", + "Ġphenomen a", + "Ġworks hops", + "in us", + "STAT US", + "å°ı ç»Ħ", + "Ġpre view", + "ĠS weet", + "на Ñĩа", + "Ġmy th", + "表 æĺİ", + "sw arm", + "Ġfix ing", + "åĮĸ åѦ", + "ĠDe lete", + "uro s", + "ĠD iff", + "çķĻ ä¸ĭ", + "Ġvi agra", + "op a", + "gr and", + "! \\", + "o ft", + "Ġcou ples", + "st ory", + "Ġs ost", + "Ġremov es", + "ĠGree ce", + "Ġr aster", + "Ġtraject ory", + "æĶ» åĿļ", + "ĠN ut", + "æĴ ¤", + "ĠI ce", + "ĠS ou", + "ody nam", + "ĠG onz", + "Ġplan es", + "òr nia", + "æ¡ ¶", + "ÑĦ ÑĢи", + "æ£Ģ å¯Ł", + "ä¸Ģ çīĩ", + "Ġconfirm ation", + "Ġ Ñīа", + "å¹´è½» 人", + "ĠD ry", + "Ġex pend", + "Ġsus pected", + ") '", + "ad ic", + "J O", + "Ġr age", + "ĠLa ura", + "Us age", + "all ed", + "ле на", + "ĠÐij Ñĥ", + "Ġeduc ated", + "Ġh iding", + "ä½ł ä¼ļ", + "Ġbro ker", + "Ġassum es", + "For ce", + "Ġdesign ated", + "Ġacc ustomed", + "bin om", + "Ġexc el", + "ĠMon th", + "pro blem", + "Ñģ ÑĬн", + "for th", + "ĠCl ose", + "Ġsle pt", + "New s", + "Ġex ert", + "f an", + "æĽ Ŀ", + "Ġl ighter", + "ul ates", + "Ġ\\ ,\\", + "Ġn ick", + "ab ama", + "ĠÑģÑĤÑĢа на", + "ons ense", + "G overn", + "Ġ[ _", + "ĠRuss ell", + "id era", + "Ġoccup ation", + "Ġhonest ly", + "Ġhe d", + "Ġca ution", + "Hol der", + "Com o", + "Ġconf ined", + "Ġv m", + "ĠEm ploy", + "ка за", + "Ġp apa", + "åĵģ ç§į", + "ĠB irth", + "éķ¿ æŶéĹ´", + "f m", + "ne ut", + "Ġvi u", + "pri or", + "e or", + "éģ ¥", + "ĠоÑĤно во", + "Ġmar ble", + "L IST", + "оÑĢ ÑĬ", + "Ġcancell ation", + "Ġtag ged", + "Ġw elfare", + "Ġcont empt", + "ĠÑģ ла", + "ĠÑģÑĬ би", + "Ġsc oring", + "Ġconsequ ently", + "sh aped", + "å½ĵäºĭ 人", + "ĠPan el", + "new s", + "Ġlegit imate", + "ĠC ot", + "éĩij é¢Ŀ", + "Ġco aching", + "Ġrec ib", + "ĠN ormal", + "Ġdownload ing", + "æĬ ¹", + "Ġs ÃŃm", + "Ġrom ance", + "Com b", + "am ong", + "Ġri vers", + "Ġhacer lo", + "Ġem brace", + "ĠCurrent ly", + "ip es", + "ĠR ange", + "En able", + "Ġutil ized", + "Ġproceed ings", + "Ġrecon c", + "Ġoccas ional", + "Ġaccess ed", + "åħĦ å¼Ł", + "ĠW riting", + "ub er", + "注 éĩį", + "Ġcom tat", + "æĪij è§īå¾Ĺ", + "Ġgen us", + "ĠB urg", + "Ġbott les", + "Ġmount ing", + "unci ation", + "Ġo ak", + "Ġне Ñı", + "åı ł", + "Ġde mo", + "ĠL ag", + "çŃ ĭ", + "çĹ ķ", + "ele m", + "con vert", + "æ£ Ĵ", + "Ġas sembled", + "Ġseg u", + ")} (\\", + "ĠRam on", + "S en", + "Ġupgrad ing", + "lect ric", + "(\" \\", + "ĠÄį erv", + "im b", + "CON FIG", + "ÑĢи Ñħ", + "Ġthr one", + "s qu", + "ĠUnivers al", + "top ic", + "éĿŀ æ³ķ", + "ĠB ear", + "Ġport rait", + "Ġar ises", + "ĠA bs", + "å±Ĥ 次", + "ĠFil ter", + "森 æŀĹ", + "Ġlength s", + "æĴ Ĵ", + "Line ar", + "èĩª ä¿¡", + "ĠL is", + "s am", + "Ġr ay", + "Ġfin anc", + "ern ate", + "Ġfix es", + "Ġp ets", + "Ġb om", + "Ge ometry", + "Ġdiab etes", + "ĠK arl", + "s db", + "Ġrecon eix", + "åįļ çī©", + "Ġiniti atives", + "çħ§ 顾", + "ĠStart ing", + "ĠG rey", + "pi res", + "Ġscreens hot", + "gu ide", + "群 ä½ĵ", + "ĠCond ition", + "re po", + "Ġgr ants", + "ĠNap ole", + "Ġgr Ãłcies", + "ĠR ou", + "ä¸Ń å°ı", + "Ġp ockets", + "Ġinsp ire", + "ĠAd vis", + "Ġhighlight ed", + "ĠFin ance", + "è¾ ½", + "Ġbelief s", + "R aw", + "f ac", + "ке дон", + ") }.", + "Ġet her", + "Pro to", + "ĠIndust ry", + "è° ±", + "Ġreson ance", + "ĠBit coin", + "pl aces", + "Ġsh ining", + "ĠB ron", + "ĠIn ternal", + "arg uments", + "Ġver d", + "æĩĤ å¾Ĺ", + "N Y", + "ar an", + "èī² 彩", + "ifi able", + "Ġfl ush", + "Ġinform ación", + "Ġtob acco", + "Ġdefens a", + "æ¸ħ æ´ģ", + "Ġillustr ation", + "S ort", + "çł´ åĿı", + "lu x", + "It Ãłlia", + "Ġactiv ated", + "L ow", + "åIJ Ĭ", + "C ant", + "ĠH alf", + "let t", + "Ġc oding", + "Ġcost ly", + "éĢļ éģĵ", + "åı¯ä»¥ åľ¨", + "Ġsuspend ed", + "grad uate", + "Ġim atge", + "女 çĶŁ", + "ĠEd ge", + "Ġj ury", + "Ġfast est", + "ĠF ant", + "Ġfilter ing", + "ext rem", + "C ross", + "Ġreli ability", + "Ġwork place", + "ĠD oc", + "ĠF ellow", + "Ġcooper ation", + "ĠJ oy", + "gl ass", + "lish ing", + "Ġcompany ia", + "ab ra", + "Ġall ocation", + "Ġc ottage", + "S elf", + "ge om", + "Ġdam ages", + "if ndef", + "Ġar ising", + "éĥ½ å¾Ī", + "Ġun c", + "ä¸į ä¸Ĭ", + "å« ©", + "åıį å¼¹", + "cl i", + "un known", + "empl ates", + "b ay", + "ab i", + "ĠL ex", + "Ġr ou", + "ĠG ot", + "éĤĢ 请", + "åºĶ 对", + "ÑĤали ан", + "во ÑĢи", + "ди на", + "ĠX IX", + "åħħ çĶµ", + "ĠR X", + "Ġк м", + "ició n", + "ĠS ony", + "ĠPa ÃŃs", + "Build ing", + "Ġdes ires", + "ĠA ld", + "Ġp ear", + "im ore", + "Ġde ployment", + "ĠF E", + "ĠAlf red", + "od os", + "Ġcomp elled", + "P ane", + "ĠP le", + "Ġж ени", + "Ġmod ifications", + "п ло", + "æ¸ ¡", + "ä¿¡ åı·", + "Ġм ла", + "ourn als", + "f ashion", + "Ġ' \"", + "åºĶ该 æĺ¯", + "以 ä¸ĬçļĦ", + "Ġcon quest", + "Ġw ont", + "Ġdis connect", + "ertain ly", + "quest ra", + "ĠÑĤ ÑĬ", + "ĠÑģ об", + "d io", + "o ons", + "O bserv", + "Ġw ax", + "op ens", + "own ers", + "lo ves", + "Ġве Ñĩе", + "ounc ing", + "ĠD ip", + "á met", + "ĠP ain", + "æ¬ ł", + "r h", + "Ph ys", + "G D", + "ge ometry", + "ве на", + "æĮĩ æĮ¥", + "ĠK y", + "ĠOri ental", + "仪 å¼ı", + "Ġ ,\\", + "are l", + "Ġoptim ized", + "fe atures", + "g ir", + "Ġd y", + "ĠIP v", + "Ġw ond", + "Ġap olog", + "ĠK r", + "åľº æīĢ", + "Ġlo vers", + "C ost", + "车 身", + "ĠT YPE", + "ĠF le", + "al us", + "ĠT ag", + "ri ors", + "æı Ń", + "ĠSim ply", + "B ACK", + "ĠTh ou", + "C V", + "ap ef", + "ĠLet ter", + "ĠOR DER", + "Ġs addle", + "whe ther", + "a ñ", + "Ġt v", + "ĠD ays", + "è¯ ij", + "Ġpreg unta", + "Ġshout ed", + "CON T", + "Ð ¨", + "AT OR", + "Ġdef ensive", + "æĿ¿ åĿĹ", + "P ad", + "Ġpass at", + "å®Į æķ´", + "it i", + "Ġsla very", + "Ġen semble", + "çĪ ¬", + "lic t", + "ĠArc GIS", + "Ġprincip i", + "Ġv ow", + "Ġrest oration", + "Ġwid get", + "åĽ½ å¤ĸ", + "k b", + "opt im", + "åĨ³ èµĽ", + "Ġtrad u", + "Ġp izza", + "ĠÐŁ ÑĢе", + "Ġassert ion", + "Ġas ign", + "Ġsix th", + "à ¸", + "per fect", + "Add itional", + "Ġsu its", + "sp ired", + "ĠKent ucky", + "çł ĸ", + "Ġco q", + "O FF", + "Ġnot ing", + "家 æĹı", + "åį± æľº", + "ä¼ij éĹ²", + "产åĵģ çļĦ", + "Ġpro long", + "sw ap", + "En v", + "Ġhe ap", + "ĠForm at", + "I FI", + "Ġin sc", + "ĠN ative", + "ĠÐĶ же", + "çĶ¨ æĿ¥", + "H am", + "Me anwhile", + "ĠMex ican", + "ĠB right", + "Ġj aw", + "ip ment", + "Ġguarant ees", + "ogrÃł fic", + "Ġfortun ate", + "Ġport ions", + "Ġsum mon", + "w al", + "ari ans", + "ĠD ifferent", + "Ġdisput e", + "PAR AM", + "Ġgener ators", + "Ġblock ing", + "ĠS F", + "Ġtestim ony", + "over view", + "SCR IPT", + "cor respond", + "ý ch", + "Ġde alt", + "ĠP red", + "ĠM inecraft", + "be ans", + "æķ´ çIJĨ", + "f p", + "ä¸į ä¹ħ", + "Ġcastell Ãł", + "E r", + "Ġex cluded", + "æĺ¨ å¤©", + "è¿Ļ æŶ", + "åħģ 许", + "å¤ ķ", + "Ġgener als", + "æ°Ķ çļĦ", + "ĠIndust rial", + "P air", + "Sh ift", + "Ġaggreg ate", + "ĠÑĩе ÑģÑĤо", + "Ġprevent ing", + "RE CT", + "ĠÑģ ÑĨе", + "ÑĬÑĤ ÑĢе", + "ĠC ancer", + "Ġg la", + "Ġпо мо", + "n amed", + "ong s", + "Ġm A", + "Ġlabor atory", + "Ġaggress ive", + "mat htt", + "comm ended", + "Sc an", + "ĠL ang", + "G ui", + "Ġen jo", + "ÑĤа л", + "Ġconnect ivity", + "Ġпо ÑĢади", + "çĵ ·", + "), (", + "çī© ä¸ļ", + "ĠпÑĢо дÑĥ", + "m its", + "Ġn os", + "ad j", + "k ers", + "PRO JECT", + "Frame work", + "ĠB ond", + "éĺŁ çļĦ", + "Ġpublic at", + "Ġcr imes", + "ĠCE LL", + "é«ĺ ä¸Ń", + "ĠTenn essee", + "Ġpurs uit", + "Ġf ocal", + "Ġb arn", + "ĠN ou", + "ty pen", + "Per iod", + "ĠOnt ario", + "g one", + "ĠN ort", + "С ве", + "ç¾İ é£Ł", + "IC ATION", + "Ñĩи н", + "iph one", + "inter val", + "çŃĶ æ¡Ī", + "Ġital iÃł", + "ĠAg reement", + "ĠP ant", + "Ġin cur", + "Ġanaly tic", + "Ġб ил", + "Ġcomunic ació", + "Ġen velope", + "' -", + "åıį å¤į", + "ĠL ore", + "Ġfar mer", + "è¾ ¨", + "J un", + "Ġtrans it", + "RE NT", + "Ġhor a", + "ç¢ ³", + "Ver b", + "åĮº åĪ«", + "Z Z", + "dat etime", + "l m", + "ethe less", + "éĶ IJ", + "æѦ åĻ¨", + "åĩº åıij", + "Ġcapac itat", + "Ġcon science", + "Ġhom ogeneous", + "Ġgr amm", + "æİ ĺ", + "es ch", + "ĠCon text", + "Ñİ ÑĢ", + "ĠEsp any", + "вин ÑĨиÑı", + "Ġmean ings", + "ĠRec overy", + "èĩ £", + "ĉĉĉĉ ĉĉĉĉĉ<", + "çĨ ¬", + "mark et", + "ric ks", + "i ency", + "ме ни", + "Ġgover ning", + "uer to", + "Ġcon se", + "Ġб ÑĢи", + "appro pri", + "ĠConst ruction", + "ey es", + "ales a", + "Ġdelay ed", + "ĠV ers", + "ĠE li", + "Ðł е", + "ĠMat thew", + "к ÑĨиÑı", + "Ġaccept ing", + "Ġmarg inal", + "is an", + "ĠCar lo", + "-------------------------------- ----------------", + "Ġcub ic", + "Ġмо ÑĢе", + "CLA RE", + "DE F", + "Ġimm une", + "FI ELD", + "ĠCol lect", + "reng th", + "Sh ared", + "ĠS K", + "Ġalumin um", + "ä¸ ²", + "Ġcred its", + "Ġhur ry", + "Exec ution", + "è°ĥ èĬĤ", + "ä¸Ģ 款", + "Ġbless ing", + "th us", + "à ¥", + "Ġut most", + "Ġgar lic", + "am or", + "ĠF inder", + "Ġcount ed", + "g oto", + "M ount", + "Ġar rows", + "AS K", + "ç¼ĵ 解", + "Ä ĵ", + "e as", + "ĠS SL", + "Ġsele cció", + "abul ary", + "Ġmon itors", + "人 群", + "trans action", + "mem bers", + "Ġd ough", + "Ġз ем", + "Ġassol ir", + "ma jor", + "str ings", + "ĠФ ÑĢи", + "Ġcent ered", + "IC AL", + "Ġv ague", + "Ġal tered", + "Ġadvent ures", + "b oss", + "çļĦä¸Ģ äºĽ", + "un iform", + "Ġpropos als", + "Ġback ward", + "Ġimag ined", + "M obile", + "AT AB", + "Ġaut umn", + "st ead", + "ĠSche matic", + "ĠB egin", + "Ġ@ \"", + "R andom", + "Ġtr icks", + "æĭĽ çĶŁ", + "N orth", + "Ġзапа д", + "Ġbeh ave", + "ĠE aster", + "W D", + "Ġgrat itude", + "RA Y", + "ĠAl an", + "ĠL iver", + "part icle", + "$ ĠĠ", + "ĠX P", + "Ġforg ive", + "ва ниÑı", + "ĉ The", + "int ro", + "Ġmis erable", + "æµ ©", + "ÑĤ на", + "Ġwe ary", + "IO Exception", + "es per", + "set Text", + "Ġinv isible", + "T or", + "åģ¥ 身", + "åĪĽ 建", + "ĠD eg", + "ĠSus an", + "Ġcur riculum", + "Ġbed rooms", + "Ġsuc ce", + "re o", + "ä¸į èī¯", + "é» İ", + "ĠC ultural", + "I r", + "г ÑĥÑĢ", + "éĢ »", + "G old", + "yst er", + "Ġlimit ation", + "Ġmas ters", + "se ed", + "ex amples", + "cion es", + "Det ail", + "Ġclust ering", + "ĠT u", + "w y", + "ĠK ernel", + "Ap pend", + "Ġcour tesy", + "Ġs aves", + "Ġs ized", + "un ately", + ") *", + "ĉ\\ \\", + "kw args", + "igu el", + "reduc ible", + "se lection", + "èį£ èĢĢ", + "B inding", + "Ġsh ine", + "ĠU TC", + "课 åłĤ", + "h fill", + "he res", + "Fol low", + "Sm all", + "us age", + "ĠERR OR", + "Ġorgan isations", + "Ġmach inery", + "turn ed", + "Ġemp irical", + "çŃ¾ 订", + "Ġansw ering", + "ĠPro perties", + "am ine", + "ĠÐĵÑĬÑĢ ÑĨиÑı", + "Ġen front", + "çĿ¡ çľł", + "ĠUn able", + "Ġprevent ed", + "ÑĢа ÑģÑĤ", + "Ġexpl ored", + "åĪĨ ç±»", + "çİ Ľ", + "ion a", + "èĤĮ èĤ¤", + "de ad", + "Ġdis pon", + "Ġaux iliary", + "t rain", + "Ġes qu", + "ĠComple te", + "ell ido", + "sh op", + "å¸ ½", + "ĠL abel", + "ĠMan ual", + "Ġplug ins", + "ere ix", + "è Ł", + "åŃ Ŀ", + "Ġt in", + "ĠM AC", + "æĢ» ä½ĵ", + "Ġsh adows", + "Ġtw isted", + "Ġf usta", + "Ġanaly tical", + "] ))", + "Ġг и", + "left arrow", + "x c", + "ç®Ģåįķ çļĦ", + "P ir", + "T ouch", + "Ġpropag ation", + "ific ant", + "åħļ å§Ķ", + "Ġlon ely", + "Î ¯", + "Ġaf eg", + "Not Found", + "Ġcon greg", + "Ġpre jud", + "设 ç«ĭ", + "èµļ éĴ±", + "Ġ\\ [", + "Ġrepar ació", + "ĠоÑĤ боÑĢ", + "ul ly", + "Ġalleg ed", + "Ġre construct", + "Ġste al", + "go og", + "ĠM are", + "æĢ§ åĴĮ", + "se ctions", + "é¢ľ åĢ¼", + "asc ular", + "Ġp ardon", + "Ġent ers", + "è¡Į 驶", + "Ġcam ÃŃ", + "off ee", + "ĠF act", + "åķ ¡", + "ç¿ ¼", + "Ġprot oc", + "Ġop ponent", + "t ica", + "Ġc ached", + "大 éĩıçļĦ", + "h ur", + "ĠInn ov", + "r ather", + "end ant", + "Ġint uit", + "Ġoccur rence", + "èĤĮ èĤī", + "% ï¼Ľ", + "ĠGu y", + "带 é¢Ĩ", + "à ī", + "Ġdepart ments", + "ĠÑĥÑģ пе", + "ĠÑĥ ÑĩаÑģÑĤи", + "ĠP AR", + "ĠE ither", + "gr ace", + "ĠR aj", + "o ys", + "Ġ\" #", + "ear th", + "ann ers", + "ĉ const", + "Ġsup press", + "Ġassert That", + "Ġmed ieval", + "em bed", + "IE W", + "ĠO scar", + "ĠP ages", + "Ġk B", + "ĠL CD", + "igr ants", + "Ġexcell ence", + "åħļ çļĦ", + "\\ },", + "ud son", + "Ġwork flow", + "Ġcas c", + "ĠÑħ еÑĢÑĨо", + "Ġdel ivers", + "Ġоб ÑĢа", + "çĶŁ åŃĺ", + "ä½İ äºİ", + "We ight", + "Ġout let", + "ĠSe bast", + "Ġc ater", + "Ex port", + "æĺİ çļĦ", + "stat ement", + "ĠT ower", + "ag i", + "ĠAquest s", + "in vest", + "Ġcl ay", + "RE T", + "bound ed", + "代 çIJĨ", + "ath on", + "Ġo z", + "Ġpar ámet", + "in cl", + "ss a", + "ĠCh amber", + "Ġcompl aints", + "iant e", + "ĠPref erences", + "Ġneglect ed", + "ĠE ug", + "ĠG it", + "sol id", + "over flow", + "ä½Ĩ åľ¨", + "PORT ED", + "Ġd s", + "Ġ' ./", + "Ġc f", + "B inary", + "t bl", + "çľĭ åĩº", + "Ġf res", + "script s", + "ific at", + "Ġkey word", + "Ġprogress ive", + "Ġе ле", + "Ġsp arse", + "Ed ge", + "Ġpe ers", + "iden ote", + "Ġob s", + "Âł г", + "ĠSt ack", + "ĠEnter prise", + "Sw itch", + "Ġfier ce", + "Ġcl o", + "но во", + "typen ame", + "Ġobserv ing", + "Ġentertain ing", + "pos a", + "ess ment", + "m obile", + "ĠG ard", + "MOD ULE", + "Ġcom edy", + "Ġspl itting", + "Ġrig id", + "пÑĥ Ñģка", + "å°ı å¿ĥ", + "ĠпÑĬÑĢ ваÑĤа", + "S outh", + "ĠN AV", + "ĠRel ations", + "ĠÐĿ ай", + "Ġb ona", + "Ġpat io", + "Ġmicro controller", + "s ound", + "ĠR af", + "ĠE SP", + "an ies", + "s ia", + "ĠÑĢо лÑı", + "ĠEst Ãł", + "d iction", + "Int ent", + "B usiness", + "Qu ant", + "ops is", + "Ġdis advant", + "Ġsem antic", + "æĺ¯ æĮĩ", + "Ġpract ition", + "Ġg a", + "om on", + "Seg ment", + "ĠrÃł pid", + "Ġhe al", + "ĠR and", + "ĠBar bara", + "arcel on", + "ĠÐł им", + "ĠU nd", + "åIJĮ äºĭ", + "wild fly", + "ber ries", + "ĠпÑĢе мина", + "ĠM T", + "Ġtr abaj", + "h ig", + "ĠM ix", + " £", + "Ð ĸ", + "ad apt", + "ĠFrank lin", + "Ġmaxim ize", + "èĩ Ĥ", + "Ġp pa", + "Ñĩе Ñģко", + "Ġindic ation", + "Ġch rist", + "Ġco herent", + "Ġdis par", + "Ġutil izar", + "Ġveloc itat", + "ĠYou th", + "issip pi", + "Ġv ist", + "èĤ¡ æĿĥ", + "h n", + "çİ° éĩij", + "x d", + "åį µ", + "æ·± 度", + "ĠAr k", + "Ġcompet itors", + "ĠA SSERT", + "D ear", + "Ġmar ine", + "Ñı ваÑĤ", + "éĥ¨ ä½į", + "æ·» åĬł", + "ĠV in", + "ck ed", + "åľ¨ 家", + "h ands", + "Ġlle i", + "res olution", + "æĹ ¨", + "åħį çĸ«", + "ent ric", + "Ġm k", + "ä¸ī 大", + "æļ ij", + "tr as", + "Ġcompl ain", + "it ches", + "èµ ´", + "òr ica", + "ap olis", + "ĠÐij ал", + "t aken", + "we alth", + "ж ÑĤе", + "ĠUS D", + "å·¨ 大", + "æ¸ħ æĻ°", + "Ġexist e", + "Ġneutr ino", + "ĠG nome", + "社 交", + "ĠAdd itional", + "ĠV encedor", + "j Query", + "Ġb ubble", + "* _", + "qu iet", + "X Y", + "å½ĵ ä½ł", + "Ġadm ire", + "tain ed", + "Don ald", + "èĥľ åĪ©", + "IP S", + "Ġinitial ize", + "up arrow", + "i ov", + "Ġprin ces", + "Ġживо ÑĤ", + "Ġapart ments", + "ç¾İ 好", + "Ġalgebra ic", + "Ġt ies", + "Ġobl igation", + "iqu el", + "æ¯ı æĹ¥", + "ĠGir ls", + "åIJĮ å¿Ĺ", + "Ġcustom ized", + "Ġconc erts", + "ĠCreat ive", + "T AG", + "Ġcanç ons", + "he at", + "Ġcons idera", + "es cola", + "Ġcom erc", + "Ġanticip ated", + "е ÑĨ", + "Ġal ien", + "æµģ åĬ¨", + "pare ncy", + "M or", + "к нове", + "Ġcent r", + "ÐłÐ°Ð· пÑĢоÑģÑĤÑĢанение", + "Ġa uction", + "po inter", + "ĠW ard", + "Ġtra iler", + "Ġcamb iar", + "Ġmarc a", + "ce il", + "ĠE P", + "Ġne uro", + "div ision", + "ag ar", + "Ġwhe at", + "Ġno isy", + "An n", + "in ces", + "U pload", + "ĠJoh ann", + "pat cher", + "Ġst rap", + "Ġpresent ing", + "ĠTH IS", + "ĠMar ÃŃa", + "ĠWe ight", + "ĠDel hi", + "Ġed ifici", + "autom òbils", + "ple x", + "ĠChar lotte", + "Ġover r", + "ĠS TR", + "ind ependent", + "æĬ ¬", + "åŃIJ 女", + "g all", + "comput e", + "}. }", + "ĉ #", + "аÑĢ д", + "è´ ¾", + "ä¸į åĩº", + "bor ough", + "Ġf oc", + "Ġes dev", + "Ġnow here", + "int ent", + "Ġge ogrÃłfica", + "umb ing", + "èIJĿ åįľ", + "z ens", + "Ġdeath s", + "ĠAb d", + "c red", + "ĠF erm", + "ilder ness", + "U K", + "å² Ń", + "Ġcont rib", + "ĠgrÃł fic", + "ern ess", + "bre vi", + "Ġviv id", + "ĠнаÑģеле ниеÑĤо", + "n ies", + "agon al", + "说 æ³ķ", + "线 çļĦ", + "Int eg", + "! /", + "Ġreal m", + "äºĭ 项", + "Ġb io", + "ĠÐĴ аÑĢ", + "ol er", + "Ġrev ision", + "Ġh ug", + "Ġwind ing", + "J uly", + "åIJ« éĩı", + "æ£ ī", + "r v", + "æĺ¯ æĪij", + "pi pe", + "Rem ember", + "Ġо кÑĢÑĬ", + "ĠHar vard", + "Process or", + "Ġqued a", + "Ġintent ar", + "St atic", + "On line", + "ĠR ick", + "Ġsecret ary", + "Ġdesenvolup ar", + "Ġprobable ment", + "ch anging", + "Ġimport ed", + "O s", + "é£İ æĻ¯", + "Ġfl aw", + "Ġre plication", + "ĠAS C", + "en ough", + "а на", + "åѦ ç§ij", + "Ġp sy", + "Ġoccur ring", + "Ġcontext s", + "纪 念", + "ò ries", + "ç»ĥ ä¹ł", + "ĠPar a", + "quitect ura", + "Ġh ood", + "ĠR ap", + "Ġоб а", + "çĪĨ åıij", + "Ġabund ant", + "l av", + "ĠAl ber", + "Ġf iring", + "he rence", + "Ġc c", + "Ġag enda", + "建 æĪIJ", + "Ġli ver", + "Ġr uled", + "èµ° äºĨ", + "M il", + "ĠM ario", + "åĴ ±", + "Ġocc idental", + "Ġrom ans", + "ĠЧ еÑĢ", + "Ġtr aged", + "Ġcontrad iction", + "Ġhyd ro", + "ĠA w", + "Ġex cep", + "Ġsh ifts", + "Ġcontinu um", + "Ġме ÑģÑĤа", + "u art", + "Ġnucl i", + "è¿ĩ äºİ", + "è´ ¤", + "aff e", + "æıIJä¾Ľ äºĨ", + "ou ver", + "Lo op", + "ne z", + "åĪ« 人çļĦ", + "Ġb or", + "/ -", + "Ġvill ages", + "па да", + "åĨħ 饰", + "Ġus o", + ") (\\", + "Ġle v", + "å¦Ĥ æľī", + "Ġiter ations", + "ex tern", + "d ocker", + "ĠY an", + "ĠGr id", + "ev es", + "Ġbo il", + "åĤ ħ", + "sign ature", + "i q", + "rem arks", + "Inst ead", + "Ġdig est", + "ĉ f", + "im mer", + "è ct", + "val ued", + "Construct or", + "ĠN ations", + "Ġsh ades", + "S idenote", + "ĠF P", + "ĠTo o", + "EEEE FF", + "Ġна ÑĢе", + "é¦ ¨", + "ellig ence", + "L uc", + "est ir", + "Ġignor ant", + "Ġhac iendo", + "å¹ ½", + "-- _", + "let ed", + "Ġpr òpia", + "åĴĸ åķ¡", + "it ari", + "Ġcon n", + "Ġm aker", + "Ġbr ass", + "fl ush", + "Ġjun ior", + "Ġdistrict s", + "Est e", + "Ġз е", + "em et", + "Ġqu ÃŃm", + "sp acing", + "ĠP rep", + "Ġsuccess or", + "ĠпеÑĢио да", + "Ġqual ify", + "Ġinflu ences", + "Ġmem orable", + "Ġbeat en", + "g old", + "oc cup", + "è¾ĥ 大", + "Enc oded", + "æ· Ģ", + "Ġdre ta", + "Ġна Ñģлед", + "pl ings", + "没 æĥ³åĪ°", + "åĤ ²", + "Ġnave g", + "Ġinter sect", + "ĠвиÑģо Ñĩина", + "Ġs ot", + "Ġun conscious", + "Ġsi xty", + "Ġto xic", + "Ġche ek", + "å¢ ĵ", + "fl ix", + "Ġpant alla", + "é«ĺ è¾¾", + "ĠBr ig", + "èµ Į", + "Ġsoft ly", + "æ°Ľ åĽ´", + "op ard", + "ĠSpec ifically", + "Ġdipl om", + "em pre", + "Ġsol ic", + "Ġt d", + "Ġreal izar", + "ĠPlan ning", + "el n", + "ĠG ET", + "ĠN ash", + "F ill", + "er i", + "Ġwin ners", + "process ing", + "Ġl ent", + "Ġmes ura", + "Ġsell er", + "ĠMel bourne", + "ĠS ic", + "æ¯ı ä¸Ģ", + "un itat", + "Ġto ps", + "Ġlay ing", + "ĠT i", + "å£ ³", + "ĠMur ray", + "ul u", + "ag ó", + "Ġspl ash", + "Ġw ages", + "And roid", + "è´Ń çī©", + "Ġper ipher", + "ĠCon vention", + "H en", + "al ter", + "ĠÐij ÑĢа", + "S UB", + "åħ¶ 次", + "ener y", + "Ñħ ан", + "便 å®ľ", + "Ġemb od", + "Ġnut rition", + "Ġrecip ient", + "ĠBru ce", + "ann i", + "åĪ Ĭ", + "Ġsup os", + "Ġinev itable", + "ĠEx cel", + "ĠUs ually", + "ĠS ession", + "te chn", + "åķ ¥", + "èµ° åIJij", + "Ġspect acular", + "Ġincorpor ated", + "Ġneighbour hood", + "Ġза Ñīи", + "å·¨ 大çļĦ", + "Ñı ване", + "å¼Ĥ 常", + "Ġhaz ard", + "} /\\", + "ÑĪ но", + "Ġle ver", + "Ġw iki", + "Ġsee ks", + "Ġsusp icion", + "ĠPhot os", + "Ġal iment", + "list en", + ",... ,", + "Ù Ī", + "eg u", + "й ÑģкаÑĤа", + "Ġsem bla", + "ag ine", + "ĠM R", + "Ġb arr", + "is Empty", + "Ġsound ed", + "ĠIm ages", + "Ġpro clam", + "æİ¥ ä¸ĭæĿ¥", + "ĠPrim era", + "Ġtrig gered", + "ди ÑĤел", + "Ġcy ber", + "Ġimpact s", + "Ġrec erca", + "Ġsty lish", + "Ġdens ities", + "Ġdecl ined", + "Ġmechan ics", + "ĠH yd", + "Ġmake up", + "int endo", + "Ġmanufact ured", + "ĠF ra", + "éļı æŶ", + "ĠBu ilder", + "ke eping", + "Ent itats", + "ĠS ame", + "Ġout s", + "E p", + "ä¸į ä½Ĩ", + "æĥ ¨", + "Ġmar x", + "Ġpob les", + "can vas", + "Ġb od", + "ĠпÑĢи н", + "es i", + "je ctions", + "Ġtor re", + "åĿIJ åľ¨", + "Ġsun shine", + "Ġridic ulous", + "Ġbacter ia", + "ĠR ing", + "Ġcomm od", + "ĠS cal", + "T ax", + "ĠÑİ Ð³Ð¾", + "ĉ struct", + "Ġc af", + "ig ües", + "RES ULT", + "ĠLu ke", + "éģĵ å¾·", + "Ġex clude", + "éĤ ĵ", + "aquest es", + "å°º 寸", + "ver tex", + "åıĬ åħ¶", + "Ġdis g", + "Ġcap ita", + "Ġproceed s", + "ex ecut", + "Prem is", + "B F", + "EN CE", + "v ision", + "ĠS SH", + "Th row", + "Ġacknowled ged", + "Ġmar it", + "Ġf ract", + "Ġsqu ares", + "C N", + "m apping", + "è¸ ª", + "举 æĸ¹", + "Ġj azz", + "ĠPro gress", + "пÑĢоÑģÑĤÑĢан ен", + "og g", + "it ate", + "Ġsist emes", + "ĠDr agon", + "Ġcorrel ations", + "Ġsurve ys", + "ĠCong rés", + "ĠD iamond", + "Ġestatunidenc s", + "ĠS ev", + "with standing", + "am bo", + "Ġarc py", + "ä¹Ł ä¸įæĺ¯", + "ĠÑĤеÑĢи ÑĤоÑĢиÑı", + "ign ore", + "åĴĮ è°IJ", + "ĠÑĤ ÑĢÑĥ", + "Ġinte gers", + "Ext ra", + "t ables", + "Ġrespons ibilities", + "Ġp ond", + "Ġsp elling", + "Ġele ven", + "+ |", + "p aces", + "ĠCour se", + "idel ity", + "åĮħ è£ħ", + "Ġpre val", + "æ¡ ij", + "Ġutil izing", + "кÑĥ ва", + "Ġcommand ed", + "T yp", + "Ġcru ise", + "t ok", + "Ġ( #", + "ĠT it", + "p b", + "Ġr ises", + "Ġpar ks", + "Ġo cas", + "valu ation", + "Ġ ....", + "Ġorient al", + "Ġp ays", + "ap ro", + "Ġcont ing", + "v endor", + "éĻ Į", + "Ġso vi", + "as per", + "B rit", + "Ġqu ieres", + "ĠS pect", + "fol lowing", + "U UID", + "Ġneces ito", + "Ġcan c", + "Ġdead line", + "habitat ge", + "UT O", + "éŃħ åĬĽ", + "ç¡ ķ", + "De velop", + "Ġworld s", + "ac io", + "Ġsignific a", + "Ġexecut able", + "Ġre jo", + "ĠĠĠĠĠĠĠĠĠĠ |", + "ĠL M", + "itz acions", + "ÑĢи Ñģ", + "I ts", + "F ire", + "é m", + "Ġfe ared", + "第 åįģ", + "Over view", + "if ty", + "ac om", + "j amin", + "Ġun limited", + "Ġfe ia", + "B atch", + "da emon", + "æĸ° 车", + "æĸ° åĨł", + "erm ark", + "æĪij ä¸į", + "Ġarrib a", + "å¹´ åºķ", + "è¿ij å¹³", + "ĠT ob", + "Ġmon ster", + "Ġc ited", + "st ri", + "åĪ° è¾¾", + "RO P", + "Ġbeh old", + "Con vert", + "in ian", + "ĠB alt", + "ill ion", + "ne ar", + ") !", + "od ox", + "Ġpred omin", + "ç¼ĸ è¾ij", + "ĠL P", + "é¼ ł", + "L ondon", + "Ġal ta", + "Ġcant idad", + "ĠC ulture", + "r ust", + "òlic a", + "Ġexped ition", + "ism es", + "ĠM aking", + "Ġprospect s", + "æĬ «", + "Ġbl uetooth", + "æĹ© ä¸Ĭ", + "Ġr ude", + "Ġindu ce", + "ĠEnter tainment", + "é¢ ĩ", + "F ort", + "ane an", + "FF ER", + "åį´ æĺ¯", + "Ġconv iction", + "u ari", + "ge o", + "ĠF ly", + "com ed", + "ĠĠĠĠ =", + "Ġavoid ing", + "Ġre actions", + "bre aking", + "h all", + "åħ¨ åĬĽ", + "Ġm ong", + "Ġsus cept", + "åŁ ĥ", + "med ium", + "Ġgradu ated", + "ĠH z", + "Exec ute", + "Ġbree ze", + "Ġmeant ime", + "loc ale", + "te k", + "Ġcomment ed", + "Ġterc era", + "Ġpro yecto", + "åıij èĤ²", + "Ġmother s", + "Ġtransform ations", + "Ġliter atura", + "æĪij们 åľ¨", + "ĠE ra", + "Ġrail way", + "ÑĤ вÑĬÑĢ", + "ĠMe anwhile", + "ud is", + "æĸ° é²ľ", + "Orig inal", + "in burgh", + "ĠE arl", + "row ave", + "ä¹ł è¿ijå¹³", + "ĠB lood", + "Ġmer chant", + "aud i", + "Ġland sc", + "Ġarr ays", + "Ġcaracter ÃŃstiques", + "pre pare", + "ĠÐĶ Ñĥ", + "æĺ¾ çĦ¶", + "Ġе к", + "ed e", + "ĠagrÃŃ coles", + "ĠS alt", + "ĠĠĠĠĠĠĠ <", + "Ġdo ble", + "на ÑĢ", + "Ġn ail", + "Ġdis connected", + "ĠAg ent", + "ме ÑģÑĤ", + "Ġocup ar", + "èµ° è¿Ľ", + "p f", + "éĺ¿ éĩĮ", + "Z one", + "sec ure", + "ag ma", + "çĻ½ èī²", + "C ref", + "I l", + "FORM AT", + "F echa", + "ĉ& &", + "Ġn uts", + "Ġperman ently", + "Ġconst rained", + "ĠAp plications", + "Ġtempor arily", + "E urope", + "з аÑĢ", + "Ġrel ates", + "ĠT ed", + "Ġtreat s", + "Ġreprodu ce", + "Ġprotoc ols", + "Ġd ich", + "Ġpublic ations", + "èĶ ¡", + "A I", + "ò d", + "Ġt ide", + "éħį å¥Ĺ", + "é«ĺ åħ´", + "æŀ ¢", + "Ġtor rent", + "ĠÑģ ко", + " º", + "u ke", + "g ina", + "ra ham", + "Ġconsum ed", + "as ia", + "åĴĮ åĽ½", + "Ġacc idents", + "ĠÑĨ е", + "Ġpal m", + "Ġepis odes", + "Ġsmooth ly", + "ĠLink ed", + "Ġse aled", + "Ġd ated", + "äºij åįĹ", + "Ob res", + "æĸ° åĮº", + "æ¬ º", + "åīį å¾Ģ", + "Ġhe ated", + "äºĮ æĺ¯", + "Ġpar al", + "Ġatt ributed", + "Ġo wing", + "A xis", + "U suario", + "è¯Ħ ä¼°", + "mid rule", + "ĠChristian ity", + "ab olic", + "Ġbu zz", + "ac hers", + "éŃ ı", + "Ġclim bing", + "Res ol", + "Ġestablish ing", + "Ġm uy", + "sign al", + "ĠMethod s", + "Ä ĥ", + "Ġfor k", + "Ġfavor able", + "åįļ 士", + "ĠI owa", + "Ġche eks", + "Ġfor ums", + "Ġcr on", + "Ġabsor bed", + "豪 åįİ", + "ĠP ep", + "construct or", + "ble ms", + "ĠBern ard", + "Ġdisp ersion", + "ĠK B", + "ĠÑģиÑģÑĤе ма", + "ĠNetwork Manager", + "Ġclar ity", + "ĠUs ers", + "Ġwas hed", + "Ġcap it", + "Ġlect ure", + "M AP", + "Ġso ap", + "ĠTr ad", + "Ġanalys es", + "ĠSt ra", + "ĠScott ish", + "sh ore", + "ÐĴи жÑĤе", + "å§IJ å§IJ", + "ÑĤ ка", + "Trans port", + "rw x", + "G rad", + "ĠC arn", + "Ġher itage", + "Ġcon spir", + "ĠÐķвÑĢо па", + "Ġfranch ise", + "ĠIn cre", + "ж де", + "ĠA nc", + "SE D", + "à ´", + "wh ose", + "ic ode", + "ri o", + "ĠCh ip", + "ar rib", + "ĠA DD", + "å·¥ åİĤ", + "ad m", + "Ġcalib ration", + "ĠCent ury", + "åľ° éĵģ", + "Ġpolynom ials", + "ĠRob in", + "v r", + "Ġel li", + "Ġcou pon", + "ÑĤо н", + "Ġgram matical", + "ĠNet her", + "Ġ' -", + "èĢ ķ", + "å°± ç®Ĺ", + "r ame", + "is se", + "Ġb ub", + "Ġinj ection", + "Null able", + "Ġt ours", + "Ġob ed", + "说 äºĨ", + "å¸Ĥ å§Ķ", + "Ġsha ft", + "ä¿Ŀ åģ¥", + "B ounds", + "bur st", + "Ġmig r", + "ĠBe at", + "Ġне за", + "жи на", + "Am ong", + "ty p", + "Ġper fection", + "ĠPro file", + "g un", + "Ġshift ed", + "ta x", + "Ġinqu ired", + "rec ogn", + "ĠCh a", + "Ġtw in", + "Ġcur t", + "顾 客", + "м Ñģ", + "ĠWalk er", + "Ġignor ance", + "ynam ics", + "TR Y", + "ic ut", + "other s", + "Ġadm its", + "ç£ ģ", + "IL ITY", + "ĠR ule", + "Ġ' _", + "Ġdisappe ar", + "ser vers", + "pr ises", + "çĭ ¼", + "ĠA my", + "ä½ľ åĩº", + "ĠEx c", + "Ġb orders", + "Ġcom ic", + "in variant", + "Ġsp acious", + "J ames", + "op in", + "ĠFe ature", + "对 å¤ĸ", + "m aker", + "l ists", + "Ġstruct ured", + "ARR ANT", + "论 åĿĽ", + "Ġrecogn ised", + "ĠÐIJ нг", + "Ġgr inding", + "Ġrel atives", + "ĠR oll", + "âĶ ľ", + "ĠM AR", + "P et", + "Ġn ada", + "Ġpre liminary", + "Ġlif ting", + "Ġf mt", + "op les", + "æ¹ĸ åĮĹ", + "C ounter", + "人 éĥ½", + "W allet", + "ĠN ep", + "ut o", + "çł Ĥ", + "at isf", + "Ñīо ÑĤо", + "Ġtim ely", + "Ġfil a", + "N I", + "HE AD", + "Ġco arse", + "Ġbl ade", + "åıij åĩº", + "ace ut", + "éĢ ¸", + "м Ñģки", + "Ġinsp iring", + "Ġseg les", + "Ġshall ow", + "Ġplant ed", + "Ġn atives", + "H appy", + "iv ot", + "Ġb end", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ<", + "AL TER", + "Ġn m", + "Ġdec imal", + "Ġman ners", + "ÑģÑĤе ÑĢ", + "Ġcand le", + "ä¼ļ åijĺ", + "ĠDou glas", + "Ġli able", + "è re", + "д ви", + "Ġextra ction", + "ĠR ather", + "b ach", + "__ _", + "aint ed", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠ", + "Ġpan ic", + "v ÃŃ", + "ĠÑģлÑĥ Ñĩа", + "per formance", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠ", + "le ys", + "Ġtr ay", + "Ġexpect s", + "не ни", + "rip cion", + "Ġpaint ings", + "ĠBe ck", + "Ġnod ded", + "Ġpar liament", + "Ãį ndia", + "ĠM ón", + "ÑĦ ек", + "ви зиÑı", + "Ġadd r", + "Ġexha usted", + "ĠD els", + "Ġm ush", + "Form s", + "çĿ¡ è§ī", + "ed o", + "ĠAL IGN", + "ä¸ §", + "Ġflo oring", + "Ch apter", + "Ġоба Ñĩе", + "Ġship ped", + "M essages", + "I ENT", + "it ations", + "çĤ¹ çļĦ", + "Ġt at", + "Ġcons iders", + "åIJĪ æł¼", + "è½ ¿", + "an ne", + "Re ason", + "Ġtrans mitted", + "ĠEnvironment al", + "S orry", + "esc ape", + "Hab itat", + "ĠBe autiful", + "CO UNT", + "ĠY ellow", + "Ãł p", + "Ġgen etic", + "g irl", + "Ġref ined", + "aw t", + "Ġtrad em", + "ĠÑħа ÑĢак", + "L arge", + "Ġ' :", + "ingu é", + "åİŁ æľ¬", + "ĠEconom ic", + "ass ador", + "Ġform es", + "说 æĺ¯", + "ch rome", + "An alysis", + "åĬ Ŀ", + "éħį å¤ĩ", + "ĠAdd ed", + "Ġspecial ists", + "ĠMor ris", + "Ġover l", + "Ġun ip", + "Ġtrans verse", + "Ġcircumst ance", + "Ġay ud", + "ad ura", + "ri ament", + "èį Ĵ", + "Column s", + "æĸ° å¢ŀ", + "ĠR uth", + "ĠR oc", + "asc ut", + "ĠChall enge", + "ele br", + "Ġpers pect", + "Ġtal ents", + "æ§ ½", + "âĨ ĵ", + "iem ann", + "down arrow", + "Ġthere of", + "Serial izer", + "S in", + "Orig in", + "Ġse as", + "çĽ ²", + "æĹ¥ æĬ¥", + "b ag", + "ÃŃt ols", + "ä¼° 计", + "ĠC hen", + "Ġfree ze", + "ĠÑĢез Ñĥл", + "åIJĪ æ³ķ", + "ològ ic", + "Ġre bel", + "Col l", + "Ġclos et", + "Res et", + "ĠÐŀ ÑĢ", + "env ironment", + "ĠB eth", + "æľº åĬ¨", + "Ġbr ig", + "ç»Ļ ä»ĸ", + "Ġfund ed", + "积 ç´¯", + "éĢ ¢", + "ĠG A", + "Ġk g", + "est ructura", + "Ġpropri etary", + "Ġenhance ment", + "friend s", + "Ġл Ñİ", + "_ );", + "Ġqu as", + "ret ty", + "Fail ure", + "æİ¥ çĿĢ", + "ĠAll ow", + "G G", + "ĠTra il", + "ĠЧ е", + "em or", + "Ġab rupt", + "ä¸Ĭ çıŃ", + "v ars", + "Ġl an", + "Ġcar ing", + "Ġcomp ly", + "Ġorth ogonal", + "Ac cept", + "( /", + "ĠO liver", + "Ġcur l", + "ä¹ĭ æīĢ以", + "m oney", + "æĶ¶ è´Ń", + "Mon th", + "Ġclean ed", + "г ÑĢи", + "éľ į", + "ĠR andom", + "Ġnom inal", + "Ġbet ting", + "NavBar Font", + "Ġretain ed", + "ле ÑĢ", + "åŁ ĭ", + "Custom er", + "ĠC RE", + "ĉ assert", + "ĠM oses", + "Id entity", + "ĠÐ¥ ÑĢиÑģÑĤо", + "nav igation", + "font s", + "Ġopt s", + "R ot", + "Ġdiagn ostic", + "Ġdev ast", + "Not ice", + "åĽŀ å¿Ĩ", + "ĠChrist opher", + "Ġcomb ines", + "stack rel", + "ĠCom o", + "ur ades", + "åĤ ¬", + "ĠMay or", + "ĠSpr ings", + "ar ity", + "èµ ¤", + "Ġdefe ated", + "Ġdesc riptor", + "A ir", + "ĠE t", + "ER AL", + "f ellow", + "Ġunder neath", + "uff le", + "æ¶ Į", + "åij Ĩ", + "Ġnewsp apers", + "Ġarm or", + "Ġt ambién", + "Ġp am", + "æ°ij éĹ´", + "èĥĮ åIJİ", + "ig i", + "ĠF eed", + "Ġk ings", + "Ġtrad itions", + "ĠAuthor ity", + "ĠN acions", + "éľ ľ", + "Ġm apped", + "ad al", + "Ġinflu ència", + "ĠT ow", + "Ġant ics", + "ĠпÑĬÑĢ во", + "oss os", + "ĠFa ith", + "Ġsh y", + "Ġintr insic", + "Ġon click", + "up grade", + "Ġpost gres", + "ĠFlore nce", + "Ġenjoy able", + "да н", + "ĠпÑĢа виÑĤел", + "ĠAf ghan", + "ol ate", + "Ġthe ater", + "ĠT OP", + "or um", + "Ġimag inary", + "Ġпо Ñĩ", + "Ġindust ri", + "P OS", + "Ġconduct ing", + "ĠC rown", + "ST RA", + "Ġet iqu", + "转 è½½", + "Ġneed ing", + "è¯Ĩ åĪ«", + "[ [", + "ĠÐIJ нд", + "èĴ Ĥ", + "valid ation", + "Dist ribució", + "l ime", + "install ed", + "ref lect", + "ло жен", + "Ġver m", + "Ġrel ies", + "ĠPat rimoni", + "Ġ ic", + "åѦçĶŁ çļĦ", + "Ġprop ied", + "èĪŀ åı°", + "Ġattend ance", + "em ption", + "Ġcont é", + "Ġmer it", + "Ġh orn", + "Test Case", + "ict ions", + "Ġpod ia", + "c ad", + "ern els", + "ats on", + "ĠW ARRANT", + "Ġrem edy", + "Ġlight weight", + "Ġconsult ing", + "ĠW ol", + "list es", + "s nd", + "he x", + "æĬ ļ", + "H y", + "Ø ¯", + "Ġпо ÑģÑĤа", + "ad ministració", + "ĠA BC", + "Ġm ing", + "resol ved", + "high light", + "ĠH ung", + "ÐŁ ÑĢи", + "Ġswe at", + "ĠV e", + "Ġst o", + "iqu en", + "ä¸ī åĪĨ", + "em e", + "dist ribution", + "Ġt abs", + "ĠÑģÑĬ Ñİз", + "am med", + "sc ient", + "Vis it", + "' ',", + "Ġvict òria", + "ĠвклÑİ Ñĩва", + "Ġge omet", + "ĠX XX", + "b read", + "pre vent", + "Ġgain ing", + "sup erv", + "Ġest il", + "et ta", + "Ġglob ally", + "can not", + "Ġins isted", + "пи ÑĤа", + "ud ev", + "Ġdel ic", + "ĠDec or", + "ant ics", + "Ġrelax ing", + "Ġagric ultural", + "el ian", + "Ġacc ret", + "Ġprompt ly", + "ĠÑģÑĢе Ñīа", + "N or", + "çļĦ åŃ©åŃIJ", + "ill ery", + "çļĦ人 çĶŁ", + "Ġhesit ate", + "åģľ æŃ¢", + "heart ed", + "Ġappreci ation", + "éĢĤ éĩı", + "Str ategy", + "Ġsent it", + "н га", + "itar is", + "Ġrout ing", + "n as", + "ĠO d", + ", )", + "ou stic", + "åĪĩ å®ŀ", + "medi ately", + "Ġh orm", + "Com parison", + "Ġdemand ing", + "lis hers", + "Ġpay load", + "ĠFil ip", + "Add r", + "Sub ject", + "ĠRE AD", + "Ġal es", + "âĤ Ĥ", + "ĠL L", + "s ometimes", + "Ġ\" ;", + "ĠMar ine", + "èĢĮ å·²", + "ĠMain e", + "Ġcomen ça", + "Ġep id", + "Ġв лаÑģÑĤ", + "æĢĢ åŃķ", + "ced ure", + "P ART", + "Ġenc oded", + "ai ro", + "Ġprof und", + "Ġlleng ües", + "Ġr ifle", + "U V", + "Ġ* **", + "ĠÐľÐµ ждÑĥ", + "ĠI g", + "Ġmoment o", + "m atter", + "rib ly", + "head ing", + "Ġv all", + "Rend erer", + "Ġenc oder", + "ari ous", + "ĠпÑĢед ÑģÑĤа", + "Ġspr ang", + "N umer", + "Ġfabric ació", + "ail ability", + "gu i", + "Ġdat etime", + "å¤ ¸", + "sh ots", + "Ġex quis", + "r ade", + "Ġhome work", + "Ġd ice", + "C HECK", + "ко ÑĤо", + "ac qu", + "çļĦ ä»·æł¼", + "& -", + "im its", + "ĠTh or", + "ĠO M", + "uff icient", + "Ġdecre ased", + "anc ouver", + "åįļçī© é¦Ĩ", + "Ġa rom", + "Ver tex", + "Ġob server", + "带 åĬ¨", + "åĨĽ äºĭ", + "Ġp ing", + "Ign ore", + "ist ro", + "aken ed", + "бо ÑĢа", + "纤 ç»´", + "Ġman kind", + "Ġjug ar", + "i ating", + "æĺ¯ å¯¹", + "ä¸į åĬ¨", + "/ ,", + "es cope", + "ĠQ ual", + "ĠH AL", + "究 ç«Ł", + "Ġser ÃŃa", + "Ġo ils", + "ç¢ §", + "å·® å¼Ĥ", + "æ¶Ī 失", + "Ġnav bar", + "ĠK ir", + "请 æ±Ĥ", + "ä¸į å¼Ģ", + "Bel ow", + "F our", + "äºĭå®ŀ ä¸Ĭ", + "Ġbroad er", + "Ġmist ress", + "at able", + "Ġemerg ed", + "Ġde er", + "Ġher s", + "Ġpob resa", + "Ġпо Ñı", + "Ġt ribe", + "Ġforest s", + "ĠС ÑĤе", + "Ġbelong ed", + "æµ ´", + "åıĸ æ¶Ī", + "çĸ¼ çĹĽ", + "Ġfig ura", + "æ¸ ´", + "ĠÑģпо ÑĢед", + "Ġkey words", + "L android", + "Ġfin ancing", + "Ġcopy ing", + "Part ition", + "ĠK l", + "ĠпÑĢо ÑĤи", + "è¾ĥ 为", + "Ġcamp anya", + "Ġveget able", + "M ont", + "Ġplug ged", + "ĠP ink", + "who le", + "ĠGra ham", + "( ()", + "Ñħ иÑĤе", + "Ġf og", + "ĠAct ivity", + "is i", + "Ġcondition ing", + "Ġdemonstr ates", + "ĠÑĤÑĬÑĢ го", + "ĠAnt oni", + "ps line", + "Pl atform", + "æķĻ ç»ĥ", + "ĠSchool s", + "ip eline", + "æµ ¦", + "Ġprevent ion", + "Ġinc idents", + "Comp iler", + "Ġcav al", + "åĪ ł", + "pro pto", + "Ġst icks", + "Ġtrou bled", + "ust ria", + "з ÑĬм", + "compat ible", + "rou ter", + "Ġb arcelon", + "ĠP romise", + "çĶŁ æĦı", + "æĭħ ä»»", + "ĠB ret", + "Ġpo ems", + "ĠDirect ory", + "äºļ æ´²", + "Ġcomm une", + "b ath", + "æī¿ 诺", + "Ġpet its", + "ç¦ ħ", + "ĠP all", + "ph abet", + "Ġdis posed", + "cond itions", + "Ġalloc ated", + "im edia", + "Ġassist ed", + "Ġchemical s", + "Ġmag ical", + "Ġp id", + "ĠL ower", + "Ge V", + "ÃŃf ics", + "Ġcant ó", + "èģĶ èµĽ", + "Ġappl iances", + "ĠCircuit Lab", + "m akers", + "Ġnú m", + "j k", + "ĠÑģво Ñı", + "Ġact riu", + "Ġgate way", + "ver ting", + "ĠR y", + "Ġcon èixer", + "aw k", + "Nav igation", + "Ġimper ial", + "åľ¨ 大", + "æŶ åħī", + "be y", + "Ġin herited", + "ĠÑĥÑģ п", + "m itt", + "ĠF IG", + "Ġpass enger", + "Ġво ди", + "ĠAz ure", + "class Name", + "ĠC ash", + "orne ys", + "ли ÑĨа", + "ĠUP DATE", + "Ġpermet re", + "Q t", + "R obert", + "Ġcl ue", + "è¯ķ éªĮ", + "Ġpol es", + "ĠAff airs", + "ĠJon athan", + "ĠÑģÑĤÑĢа ни", + "æĺ Ĥ", + "bl ob", + "Con sole", + "en ue", + "ĠP rivacy", + "G ive", + "de al", + "ĠPost greSQL", + "è°ĥ çłĶ", + "ä¸ ij", + "ĠCub a", + "ĠMal ays", + "ĠÑģоб ÑģÑĤве", + "ä¿ ©", + "Ġatt raction", + "ĠK a", + "æľ ´", + "th y", + "ç®Ģ 缴", + "ub a", + "Ġма наÑģÑĤи", + "Ġeager ly", + "ades h", + "å«Į çĸij", + "ÐĽ иÑĤеÑĢаÑĤÑĥÑĢа", + "Ġc ared", + "M achine", + "çļĦ èĢģ", + "ĠHol land", + "g if", + "Ġd ots", + "Ġinvest ed", + "èĪ Į", + "ä»ĺ åĩº", + "Ġg aps", + "Point s", + "Ġfro st", + "erior ment", + "ĠC e", + "um m", + "æķ° åѦ", + "opt imal", + "Ġbus car", + "çī §", + "Ġmatt ress", + "F W", + "Ġtable ts", + "tr ust", + "ev alu", + "B H", + "ĠP ART", + "' ].", + "Ġkn ight", + "ĠÑĤ воÑĢ", + "å¤ı 天", + "t rivial", + "çª Ŀ", + "ĠпиÑģа ÑĤел", + "Ġnot ifications", + "Ġoscill ator", + "parent ly", + "ĉĉĉĉ $", + "Ġtor que", + "C at", + "ĠSt ay", + "ä¸Ģ åıª", + "ne ys", + "ab is", + "æĸ° æĹ¶ä»£", + "du a", + "ä¸į 太", + "Ġcont amin", + "Ġill es", + "Ġcomplet es", + "script scriptstyle", + "so ever", + "l iness", + "Ñģ ло", + "Ãł lis", + "T imer", + "ig ion", + "åĨ² åĩ»", + "åij½ è¿IJ", + "к ваÑĤа", + "Ġsimpl ified", + "Ġsubstant ially", + "ĠAn imal", + "ĠG round", + "èijĹ åIJį", + "ĠPl atform", + "ĠCalif òrnia", + "Ġ\\ {\\", + "ĠP rec", + "ĠPal ace", + "ле й", + "Ġtr ag", + "åĽ½ 产", + "y ellow", + "b inding", + "end e", + "c hen", + "esp ai", + "åĽ½ çļĦ", + "Ġspread ing", + "ĠG M", + "Ġdead ly", + "æ£ ĭ", + "oid al", + "æ¶ ¯", + "_ \"", + "text up", + "us ually", + "Ġemp ire", + "C md", + "/ _", + "Ġph on", + "ĠA ch", + "Ġb apt", + "Ġanim ated", + "lic ense", + "Ġno bles", + "am o", + "ĠUn like", + "Ġrestaur ació", + "Ġdist ribució", + "Ġart ifact", + "Ġm all", + "ĠR unning", + "Ġc out", + "log ging", + "ĠS leep", + "Ġcompet ició", + "ĠDet roit", + "Ġdesc obr", + "лÑı ÑĢ", + "Ġdif erència", + "ĠT arr", + "ĠÑĨÑĬÑĢ ква", + "mind ed", + "æĪij们 è¦ģ", + "che stra", + "Ġtra ins", + "E duc", + "ĠШ а", + "er ial", + "Ġgr acias", + "Sim ilarly", + "ĠMe eting", + "åĭ Ł", + "ct rl", + "ĠV erm", + "Ñģо бе", + "f requency", + "Ġf als", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ<", + "ĠÑĢо д", + "asp berry", + "pro ved", + "Ġt s", + "ĠG ene", + "æľĢ 为", + "ph oton", + "çģ« ç®Ń", + "create Element", + "termin al", + "è¾ °", + "约 å®ļ", + "Ġlluit a", + "T ile", + "Ġc argo", + "Ġlong est", + "è·Ł çĿĢ", + "æĹ¢ çĦ¶", + "Ġthank ful", + "Ġdread ful", + "Ġrel acions", + "Count ry", + "ve x", + "Ġreg ne", + "Ġbi ological", + "Ġrepl ica", + "Ġsy ll", + "Ġlook up", + "ĠÑĥ миÑĢа", + "Ġsimpl ify", + "Perm ission", + "emper ador", + "ster dam", + "ST ER", + "强 大", + "ĠJ son", + "éĩĬ æĶ¾", + "t it", + "ĠDemocr ats", + "c in", + "çĻ¾ åĪĨ", + "ult a", + "æĭ¿ åĪ°", + "Ġa fore", + "M AR", + "Ġpint or", + "ĠM és", + "Ġdi odes", + "åį± 害", + "çŁŃ æľŁ", + "Ġdist ribute", + "转 移", + "èħ¾ 讯", + "ĠI llustr", + "ĠS ql", + "ĠK night", + "ĠWh atever", + "aut ore", + "whe el", + "Ġadm iration", + "çĶ± æѤ", + "Ñĩа ÑĤ", + "å ļ", + "Ġprob abilities", + "åIJİ éĿ¢", + "Ġw x", + "Ġw ars", + "ĠU UID", + "ĠCom ponent", + "F ixed", + "l ated", + "Ġj unction", + "ous el", + "Ġmal alt", + "J ug", + "Ġap ples", + "Ġwork out", + "itz en", + "Ġped est", + "le f", + "Ġpack ing", + "åł ¡", + "Ġmole cules", + "ĠM es", + "Ġchief ly", + "------------ --", + "D K", + "om ar", + "olog ically", + "semb les", + "å¿ĺ è®°", + "ĠD ak", + "å¼ı çļĦ", + "Pl us", + "dra wn", + "h p", + "Ġacquaint ance", + "ĠÑģÑĬ ÑīеÑģÑĤ", + "ĠG E", + "() ),", + "ма ни", + "ле ни", + "ĠMov ie", + "ĠW onder", + "æĶ¾ æĿ¾", + "Å¡ ÃŃ", + "ot os", + "az ar", + "ĠÑĤе а", + "Am ount", + "Oct ober", + "Ge ografia", + "Ġinvolve ment", + "л ниÑĤе", + "Up dated", + "ĠF at", + "ul ada", + "Ġres erves", + "ĠÑģмÑĬÑĢÑĤ ÑĤа", + "Ġa company", + "Ġfright ened", + ".\" \"\"", + "ĠN icol", + "Ġr uling", + "ä¸ŃåĽ½ 人", + "æĦŁ åĬ¨", + "è¿Ļä¸Ģ çĤ¹", + "Esc ola", + "ĠM ock", + "ï ta", + "ĠпÑĬÑĢ ви", + "Ġsan ct", + "Ġappe aling", + "Man agement", + "L R", + "Ġl ively", + "Ñģ пе", + "Ġround ed", + "ĠNAS A", + "Ġcom bo", + "ĠR ES", + "B ot", + "Pre vious", + "ĠO C", + "级 çļĦ", + "è´¢ åĬ¡", + "Ġdeal er", + "åĮħ åIJ«", + "Ġcoll ar", + "C i", + "T emp", + "Ġs ins", + "åľ¨ æĪij", + "M ary", + "M ust", + "Ġtunn el", + "k k", + "Ġcr ushing", + "Cho ose", + "ĠN V", + "Ġprov ing", + "åIJĥ çļĦ", + "ĠH alloween", + "ĠвÑĬз мо", + "Ġphotograp her", + "hy per", + "cknow ledg", + "Ġdil ig", + "F eed", + "Ġsum mit", + "çĮ ľ", + "Ġhe ct", + "åħ³ èĬĤ", + "ĠThom pson", + "ĠPub lished", + "ó rm", + "W ow", + "Ġco res", + "æĪij ä¹Ł", + "Ġsl ipped", + "Ġal igned", + "æľª æĿ¥çļĦ", + "Ġincon ven", + "ad oc", + "Ġlight ning", + "çļĦ æķĪæŀľ", + "ĠEqu ation", + "A f", + "Ġdress es", + "ĠL liga", + "G roups", + "comm unity", + "Ġgovern ador", + "Ġst rive", + "Ġbot ón", + "ise cond", + "ustr Ãłlia", + "ĠComp et", + "ÐĶ о", + "ĠÐŁÐ¾ л", + "Ġtogg le", + "ĠCor ollary", + "è´¯ å½»", + "åĬ £", + "úst ria", + "Res olver", + "ÑĤа й", + "ä¸Ģ个 æľĪ", + "Ġtun ed", + "A maz", + "Ġt et", + "æĹ¥ çļĦ", + "}[ !", + "ĠCar ib", + "Ġhierarch y", + "atern al", + "Ġre positor", + "лов ди", + "èIJ¥ éĢł", + "ud ed", + "æ³ ³", + "Ġà ģ", + "cos ystem", + "èĬĤ å¥ı", + "Ġsoc cer", + "ĠMill or", + "m ov", + "Ex pl", + "足 çIJĥ", + "ç» µ", + "ra h", + "ä¸Ń æľī", + "link ed", + "ä¼ĺ åħĪ", + "A H", + "anc o", + "Ä ĩ", + "Ġза в", + "Ġ _{\\", + "Ġm eth", + "åİ Į", + "ç±» çļĦ", + "be it", + "le ave", + "éĩĩ è´Ń", + "éĢĤ çĶ¨", + "ist e", + "ä¸į æķ¢", + "ol ine", + "èĩ Ń", + "Ġst ating", + "Ġaplic ación", + "Ġcobert a", + "pre vious", + "Ġstrong est", + "Ġestad ÃŃstiques", + "Ġbehav iors", + "Ġcap ella", + "Ġlocal host", + "ĠUp per", + "æĪ¿ éĹ´", + "! ).", + "op edia", + "让 åŃ©åŃIJ", + "ĠDe cl", + "Ġp u", + "б ен", + "об ÑĢа", + "éĨ ĭ", + "ĠK o", + "ĠÐĻ оÑĢ", + "ĠBet ween", + "lic a", + "ĠIn valid", + "Ġoffer ings", + "Ġb ru", + "Ġcateg or", + "ĠÑĢо ден", + "Ġdiscret ion", + "Ġintrodu ces", + "> ĠĠĠĠ<", + "ä¸į è§ģ", + "> `", + "um é", + "对 å¾ħ", + "C trl", + "ut ic", + "ä¸įä»ħ ä»ħ", + "Pro b", + "view port", + "Ġt iempo", + "Ġentreprene ur", + "L ou", + "Ġg amma", + "ili ation", + "L ive", + "p ent", + "Ġpres id", + "Ġsust ained", + "K ernel", + "ĠIn noDB", + "Cre ated", + "ju ana", + "Argument Exception", + "çļĦ è¡Į为", + "Ġкла Ñģи", + "Ġn erve", + "ÑģÑĤе за", + "ĠD ance", + "Ġ_ .", + "Ġdec iding", + "Ġwh it", + "er ir", + "åĿ ij", + "M ichael", + "fr agment", + "é¢Ħ æµĭ", + "Ġhast a", + "script ions", + "Ġpir Ãłmide", + "bal ance", + "Ġp orn", + "ĠĠĠ =", + "ĠPract ice", + "mult line", + "Ġadjust ment", + "i ology", + "S plit", + "Ġqu il", + "P rec", + "Ġд ÑĬÑĢ", + "å¥ ij", + "ĠPol y", + "ĠComm ons", + "Int erest", + "ĠI BM", + "Col lect", + "ÑĤи ÑģÑĤи", + "书 æ³ķ", + "All ow", + "ĠMall orca", + "ĠK i", + "v able", + "ĠС поÑĢед", + "æĶ¶ åĪ°", + "ĠRob inson", + "in as", + "C LASS", + "Ġenjo ys", + "交 èѦ", + "Ġtr anqu", + "P rom", + "person al", + "ef e", + "Ġdiscount s", + "t om", + "ĠL agrangian", + "Ġgr im", + "ell ij", + "çħ İ", + "ÑĤел но", + "Ġlib er", + "Ġrel uct", + "Ġsur ge", + "ĠOpt im", + "ä¸ļ 主", + "ruct ures", + "ĠÑĤ ÑĢа", + "Ġcompet ing", + "ĠB rew", + "Ġath letes", + "çľĭ åĪ°äºĨ", + "Ġpro totype", + "ĠD iet", + "Ġд ÑĢе", + "t m", + "ĠB our", + "under stand", + "æįŁ 害", + "ab l", + "çĥŃ æĥħ", + "Ġinitial ized", + "ĠAgr icult", + "Ġfore head", + "Ġsort ir", + "small matrix", + "ÃŃc ies", + "st orm", + "Ġcr ust", + "Fut ure", + "ĠChampions hip", + "Ġp oured", + "Be ing", + "Ġform ally", + "T ot", + "Ġespany ols", + "ĠE uro", + "çĽĪ åĪ©", + "Valid ator", + "LE T", + "Ġg ast", + "ival ent", + "pend icular", + "Ġshr ink", + "Ñģко п", + "Ġgest ure", + "åľ° çIJĥ", + "Ġиз пÑĢа", + "Pobl ació", + "å¹³ å®ī", + "Ġsum s", + "Ġtast es", + "ĠвÑĢÑĬ з", + "ĠM iquel", + "ĠClass es", + "Ġrect angle", + "Ġbre ed", + "ĠOper ation", + "ĠNe ither", + "Ġcol span", + "any thing", + "Ġneg re", + "èµ· åĪ°", + "Ġmusic ians", + "Ġun ir", + "che ll", + "Ġp ants", + "Ġmysq li", + "Ġvan illa", + "ION S", + "ĠSim ilar", + "Ser ies", + "Ġmon ot", + "Ġaccident ally", + "åĪĨ æ³Į", + "Ġformul as", + "l le", + "Ġо ÑĢÑĬ", + "V s", + "google apis", + "ä¼ ª", + "室 åĨħ", + "Ġ' #", + "举 åĮĹ", + "sec ution", + "ç§ij çłĶ", + "Ġоб ÑĢаз", + "ĠM unicip", + "é¹ ı", + "produ ction", + "ĠF an", + "нг ен", + "ĠP ool", + "il ia", + "Ġhapp ily", + "èѦ æĸ¹", + "Ġest re", + "Ġpar c", + "Ġstead ily", + "Ġpet ites", + "M ass", + "Ġpar ish", + "ĠÑģлÑĥ ж", + "win ning", + "ва л", + "Ñĩе ÑģкиÑı", + "Ġexhib its", + "Ġcomp romise", + "Ġcatch ing", + "un less", + "Ġstr angers", + "Ġanalog ous", + "Ġg ad", + "é«ĺ æķĪ", + "ah n", + "ĠEn able", + "e clipse", + "Ġnom bres", + "ĠF ut", + "Ġir reducible", + "Ġwhis per", + "Ġm undial", + "Ġh ass", + "çĶ» éĿ¢", + "çļĦ èĥ½åĬĽ", + "ef i", + "n pm", + "Ġо мÑĬ", + "Ġsocial s", + "Ġaw ake", + "ĠM ouse", + "ĠEm ily", + "un cher", + "ĠCh i", + "Ġsup ern", + "Ġfavor ites", + "Sept ember", + "Ġse cció", + "ated ral", + "ph ony", + "н Ñģка", + "ap hor", + "ÃĢ frica", + "Ġи кономи", + "Ġswe ep", + "Ġtr unk", + "åŀ «", + "}{ *}{", + "s ud", + "C irc", + "åºĶ æĢ¥", + "ĠSet ting", + "ĠAtt orney", + "ie g", + "Ġanaly tics", + "ÑĢа на", + "Ġpill ow", + "м он", + "æĤ Ħ", + "ãģ ®", + "å³ ¡", + "ÑĢÑĬ б", + "ĠW edding", + "bo ys", + "ĠKore an", + "Ġt ires", + "Ġcriter ion", + "def n", + "uplic ate", + "åĵĪ åĵĪ", + "ract or", + "sl ide", + "æ²³ åĮĹ", + "Ġfunc ions", + "亿亿 亿亿", + "cc c", + "Ġsp y", + "act e", + "çĶ· æĢ§", + "ĠST ART", + "me ans", + "Ġcabin ets", + "Ġest as", + "C art", + "Ġsegment ation", + "(\" .", + "Ġagre ements", + "Ġ_ ,", + "port ion", + "Ġbr ace", + "å¿ĥ èĦı", + "ĠPa ïsos", + "Ġperd re", + "Sec ret", + "Ġafter ward", + "Ġtour ist", + "enc i", + "cur y", + "Ġl est", + "cent ury", + "æĥ §", + "ÑĦ ан", + "Ġapar èixer", + "tr uth", + "level and", + "SE SSION", + "ĠINS ERT", + "re ne", + "ĠK on", + "Ġes pect", + "ĠKenn edy", + "an as", + "\\ }.", + "Ġdon ation", + "Ġp oner", + "}} ,\\", + "Ġrespect ed", + "æ·· åIJĪ", + "Ġxar xa", + "{ .", + "ling ton", + "è¾ĵ åĩº", + "N L", + "Ġfurn ish", + "Ġd umb", + "W ed", + "s ight", + "Ġtrib es", + "AN GE", + "ĠF alls", + "Ġdecor ated", + "ĠRem ote", + "Te am", + "Ġv ort", + ": ]", + "ort al", + "Ġun comfortable", + "Ġadv ances", + "P a", + "ind a", + "åħ ½", + "ard less", + "Ġfant asy", + "ĠSum mary", + "Ġfl avors", + "Pol ÃŃtics", + "ul p", + "èĥ ģ", + "ĠR ud", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ", + "Ġtoler ance", + "èĤº çĤİ", + "Ġindu ctor", + "Ġrem ed", + "Ġmin istre", + "Ġlater al", + "ò metres", + "um en", + "Ġrem ot", + "D ue", + "ĠG ulf", + "Ġdiv isions", + "Ġtreball s", + "åīį æľŁ", + "bold math", + "Ġm ensaje", + "Ġl ion", + "Ġcount less", + "Ġsusp ension", + "ĠимпеÑĢа ÑĤоÑĢ", + "Ġfil tered", + "r ans", + "ä½ł è¦ģ", + "Ġpart its", + "Ġmon arch", + "Ġhint s", + "K n", + "Ġart work", + "ĠM AN", + "èIJ½ åľ°", + "aa aa", + "Ġhero es", + "n ail", + "it ely", + "ÑĪ ки", + "IC S", + "p read", + "ENT S", + "æŁIJ äºĽ", + "inner HTML", + "Ġpolit icians", + "ĠCommunic ations", + "A IN", + "the refore", + "ĠÑĦил м", + "Ġen er", + "æĪIJ çļĦ", + "ĠD H", + "Ġt xt", + "Ġthere in", + "ä»Ķ ç»Ĩ", + "Ġp icks", + "Ġspec s", + "Ġreg isters", + "][ ]{", + "â Ĺ", + "ĠD ades", + "Ġpub lisher", + "c ra", + "ĠÐļон ÑģÑĤан", + "pl aced", + "é¤IJ 饮", + "Ġs ib", + "product s", + "Ġcontract or", + "le in", + "éļľ ç¢į", + "ĠC ars", + "éĿ¢ è¯ķ", + "Ġsc ared", + "Ġb row", + "Ġcand y", + "ĠH air", + "the ad", + "amb ers", + "igh ters", + "ast ically", + "G Hz", + "d ashed", + "}{ {\\", + "Ġann ually", + "Ġdis orders", + "Ġconf idential", + "Map per", + "includ es", + "' /", + "cont inue", + "Ġmilit ars", + "Ġwh ites", + "åĿ Ĭ", + "Ġsup porters", + "à «", + "D er", + "f uture", + "ĠU tah", + "éĤ ª", + "Ġgrand father", + "éĻ ķ", + "Ġhe lic", + "Ġ ----------------------------------------------------------------", + "Ġhun ger", + "大 大", + "Ġdisc our", + "ĠÑģ ÑĢа", + "be e", + "on de", + "N V", + "us ions", + "ланд иÑı", + "uls ion", + "Ġdeleg ate", + "Ġexpress ing", + "tra ining", + "åĶ® ä»·", + "è¿Ļ ä¹Ł", + "åº Ļ", + "Ġб лаго", + "Ġhe els", + "Ġfund ar", + "åı¯ è°ĵ", + "Ġub ic", + "ll i", + "Ġstr ang", + "Ġcontract ors", + "大 å¸Ī", + "ĠGN U", + "Ġf use", + "ли йÑģки", + "ĠImper ial", + "com merce", + "ÑĢо ÑĤо", + "ans wer", + "éĺŁ åijĺ", + "åIJij ä¸Ĭ", + "Ġd B", + "å¤ĸ çļĦ", + "B order", + "åı¤ 代", + "æº ¶", + "Ġce ase", + "Ġcl auses", + "Ġbal con", + "ĠG raphics", + "д жа", + "small skip", + "з ен", + "çĶ· åŃ©", + "Ġall Classes", + "Ġdispos al", + "P ython", + "Ġrest ing", + "Ġgrand mother", + "t one", + "to Be", + "Ġevolucion at", + "Ġpass a", + "R PC", + "èIJ Į", + "Ġиз гÑĢа", + "Ġener get", + "æĺİ å¤©", + "ĠPort land", + "oun ters", + "æĸ ľ", + "Ġpri ests", + "便 åĪ©", + "Ġj unk", + "ĠIl legal", + "w ant", + "ing e", + "Ġvoy age", + "éĿĴ å²Ľ", + "ĠOther s", + "Ġexp ans", + "Ġpersonal ized", + "S ocial", + "ĉ void", + "å®ŀ ä½ĵ", + "Ġtrasllad ar", + "ĉ String", + "Ġproof s", + "ĠallClasses Link", + "iv istic", + "Ġми ли", + "graph ics", + "ĠT ip", + "Ġn au", + "ud os", + "m ith", + "åĴ ³", + "ĠEnt ry", + "ме на", + "Ġд ен", + "ĠH ab", + "ĠÑģе веÑĢо", + "åIJĮ æĦı", + "Ġc read", + "Ġoblig ations", + "Ġprodu cers", + "Ġsum a", + "thr ift", + "Å Ĥ", + "欣 èµı", + "Ġstrength s", + "娱ä¹IJ åľĪ", + "ĠL lista", + "Ġб оÑĢ", + "Ġpec es", + "Ġconsider at", + "ĠCon sequently", + "Ġпо ле", + "Ġorgan ize", + "Ġд ÑĢ", + "ĠпÑĢо ÑĦе", + "Ġash amed", + "ло ги", + "Ġout lined", + "Ġarreg lo", + "ĠB ureau", + "Ġown s", + "Ġch im", + "pat ient", + "ĠÑĩе ÑĤиÑĢи", + "Spe ed", + "Ġevol ved", + "Ġacquaint ed", + "Ġstri kes", + "Ġi wlwifi", + "Requ ire", + "æĢĿ è·¯", + "Ġphilos oph", + "çļĦ è¦ģæ±Ĥ", + "Ġmore over", + "Ġmod ular", + "Aut hentication", + "ä¿® å¤į", + "t aking", + "d or", + "ĠW right", + "IM P", + "åı¯ çĪ±", + "ay er", + "å¯ ĵ", + "f air", + "sl ave", + "p od", + "åIJį åįķ", + "ĠThe ory", + "Ġhigh way", + "._ ,", + "ĠMet al", + "Ġknock ed", + "K now", + "Ġcontribut ing", + "rown ed", + "Ġcamb ra", + "Ġsol ución", + "T en", + "ient es", + "ron ics", + "th umb", + "Ġcan viar", + "ĠCal endar", + "ĠL ud", + "Ġr ud", + "Ġ( .", + "Ġdel ays", + "pos itive", + "Ġdispos aven", + "f irm", + "ĠB S", + "ĠÐĴ е", + "Ġmort al", + "ловди в", + "ĠA bu", + "b uff", + "c id", + "ak o", + "ĠJer ry", + "Ġwrap per", + "èŀ º", + "å¡ ĺ", + "åĩº çİ°åľ¨", + "Ġan onymous", + "Ġdes erves", + "Ġdat o", + "Ġb icy", + "ĠM ut", + "os i", + "É Ļ", + "Ġval ve", + "Ġch ill", + "Ġplan ets", + "社ä¼ļ 主ä¹ī", + "éĩĩçĶ¨ äºĨ", + "åĮº çļĦ", + "it ives", + "но Ñģ", + "Ġad verb", + "Ġk inetic", + "Ġbre w", + "') -", + "ĠT emplate", + "miss ible", + "Ġd ic", + "ÑĨи иÑĤе", + "ĠBer lÃŃn", + "ĠCan not", + "M ETHOD", + "b right", + "Ar c", + "по зи", + "ash i", + "om p", + "éĢı éľ²", + "re view", + "M AC", + "Î ³", + "åį ¢", + "aix ements", + "big cup", + "ĠÑģÑĤе пен", + "oll ar", + "ĠExt ra", + "Enc oding", + "cur rency", + "om i", + "Ġobst acles", + "Ġneed le", + "ĠÐĽ Ñİ", + "ĠUn iverse", + "线 è·¯", + "Ġb ou", + "Ġcard inal", + "ÐIJ меÑĢиканÑģки", + "Ġw ip", + "bl er", + "Ġcount enance", + "set ting", + "Ġcond icions", + "ĠDen ver", + "Ġdocument ed", + "ĠMiss issippi", + "ĠE rr", + "ĠH az", + "ä»ĸ æĺ¯", + "Ġwel comed", + "Ġocup ades", + "Comp are", + "ä¸Ģ æĸ¹éĿ¢", + "Ġha uria", + "Ġfil os", + "as ury", + "View ById", + "anc ia", + "Ġep ic", + "ä¿¡ ä»»", + "M ON", + "Ġal mac", + "å· ¾", + "åħ» çĶŁ", + "st mt", + "ĠÐĵ ÑĢа", + "F rench", + "Ġhyd rogen", + "æIJ ħ", + "un ge", + "E F", + "Ġback ing", + "Ġp unch", + "F ac", + "èĪĴ æľį", + "线 ä¸ĭ", + "Ġmin es", + "åıĪ æĺ¯", + "Ġlack ing", + "ab lo", + "bl ocks", + "All oc", + "åĤ »", + "ig g", + "em ployment", + "Ġinfin ity", + "ÑĪа ва", + "ĠMar shall", + "qu ite", + "çļĦ å¤ĸ", + "itz erland", + "Ġfl av", + "ĠL uck", + "ĠпÑĢо вежда", + "Ġcon qu", + "Ġtechn ically", + "Ġe col", + "è¿ĺ 没", + "int ellij", + "Ġbl ur", + "Ġill umin", + "Ġasp ir", + "æĹ¥ åĨħ", + "Ġка ÑĢи", + "ä¸į éľĢè¦ģ", + "Ġconv ince", + "Ġcav ity", + "åŃIJ éĩĮ", + "Ġде ÑĨа", + "Ġfail ures", + "Ġabsor b", + "or acle", + "æĹ¥ åīį", + "ĠV o", + "ĠSte wart", + "\\ }_{", + "ĠGeneral itat", + "T ell", + "Ġне й", + "ĠQu estions", + "æ´ Ĵ", + "Ġper ceive", + "ĠB A", + "ĠI DE", + "ĠSol ar", + "æ¶ Ľ", + "ĠColl ins", + "ĠA j", + "Ġkiss ed", + "Ġmob ility", + "bol t", + "Ñģ Ñĥл", + "Ġwarm th", + "log ic", + "f ew", + "Ġelabor ate", + "al ta", + "Ġв лиза", + "B uff", + "ĠB io", + "Ġf ade", + "Ġan ch", + "Mon itor", + "Ġwarn ings", + "ament o", + "导 æ¼Ķ", + "Ġch arts", + "Ġб ÑĬлга", + "两 个人", + "ĠÑĨ аÑĢ", + "ith metic", + "ĠR oute", + "Ġsun ny", + "ĠSant i", + "ĠEqu ipment", + "Ġpip es", + "Ġ ÑĪе", + "Âł °", + "ĠLe ave", + "Ġap ache", + "z ier", + "Ġadministr ator", + "Ġ{ },", + "çī© åĵģ", + "Ġn ested", + "anch oly", + "å¹´ åīį", + "ä»İ å°ı", + "ĠMc K", + "Ġchem istry", + "m ine", + "éĹ ·", + "Ġimp ulse", + "en ar", + "Ġb orne", + "ĠÑģÑĬ ÑģÑĤа", + "ĠпÑĢо ÑĨе", + "ĠP K", + "å½¼ æѤ", + "Ġfut ur", + "ĠB aker", + "Ġmat rimoni", + "ĠQue ens", + "N ovember", + "ĠL amb", + "Ġund oubtedly", + "ĠT am", + "Ġab ol", + "ĠM iguel", + "Activ itats", + "Ġav iat", + "éĢ Ĭ", + "== =", + "Ġperm its", + "R uss", + "Ġd avall", + "du al", + "Ġcontinu ity", + "Ġfac ial", + "é¹ ¿", + "ÑĤ Ñģки", + "ĠTan mateix", + "ĠÑģ гÑĢа", + "Ġaccess ibles", + "éŨ åı£", + "æľīæķĪ çļĦ", + "大 约", + "B esides", + "c ov", + "ÑĤи на", + "ĠGir ona", + "Ġpurs ued", + "no ise", + "ä¾ ¦", + "æĪij è¦ģ", + "Ġin vert", + "Ġsad ly", + "amil iar", + "ĠS oph", + "Ġle verage", + "Ġreg istry", + "Ġpoor ly", + "d ess", + "Ġfil tr", + "éĨ ĩ", + "ĠOper a", + "is ode", + "Ï ī", + "C ancel", + "Ñģк ва", + "ĠL uther", + "un ivers", + "Ġme jor", + "Ġdepth s", + "Ġveter an", + "Ġin et", + "de code", + "ĠPh D", + "Ġgeneral ization", + "åıĺ éĢŁ", + "æĬĵ ä½ı", + "æĢ» ç»ıçIJĨ", + "hab it", + "çĹħ ä¾ĭ", + "se emed", + "ĠL ar", + "Ġà Ĺ", + "T X", + "ä¸ī åįģ", + "æŀĦ 建", + "Ġcor rent", + "ĠO ften", + "fr ames", + "ж ни", + "Ġpsych ological", + "åIJĮæ¯Ķ å¢ŀéķ¿", + "ĠTest ament", + "Ġpr ud", + "Ġautom òbil", + "ide an", + "ĠH unter", + "Ġgar bage", + "Ġpup ils", + "Ġsol a", + "éĴ Ļ", + "ĠPrem ier", + "l ift", + "get Id", + "Ġrecon eg", + "Ġpresc ribed", + "Ġfair y", + "is che", + "Ġreferenc ed", + "A lemanya", + "Ġbl ast", + "Ñħо ди", + "Ġt yr", + "Ġassign ments", + "Ġgramm atically", + "onom ia", + "Ġpropi etat", + "enn is", + "Ġbank rupt", + "ĠSn ap", + "sm ooth", + "OR S", + "Ġж е", + "Ġret riev", + "åħ± æľī", + "Ġloyal ty", + "åħ¨ ä½ĵ", + "Ġelder ly", + "uk i", + "ĠC old", + "Ġelev ated", + "Ġж ен", + "Ġdownload s", + "P ing", + "ra ising", + "Ġx x", + "ĠпÑĬ ÑĤи", + "Ġt ire", + "Option al", + "Ġ erg", + "ic us", + "w ife", + "w at", + "Ġsub space", + "ĠUn ides", + "int a", + "Ñĩе ÑģкиÑĤе", + "ĠMc G", + "Ġenjoy ment", + "Ġg ut", + "å¼ķ é¢Ĩ", + "Ġwall paper", + "Ġwild life", + "Ġc èl", + "& &\\", + "Ġposit ively", + "Ġdis patch", + "ĠÐ ©", + "Ġo ath", + "ament als", + "et erm", + "Ġins ist", + "ĠRepublic ans", + "Ġlat ent", + "t cp", + "ST ART", + "amp a", + "grad le", + "Cons umer", + "w ine", + "Jan uary", + "из ÑĤо", + "éķľ 头", + "Ġg am", + ".\" )", + "за ни", + "Ġcondem n", + "Ġsp herical", + "atur ally", + "Ġmethod ology", + "ĠH at", + "éŁ µ", + "æĪIJåĬŁ çļĦ", + "TH ER", + "Ġassoci ations", + "ĠK ath", + "_{ [", + "Ãł nd", + "Ġexc av", + "r ates", + "d B", + "Ġpers ist", + "åĪĨ åŃIJ", + "ond o", + "ĠG C", + "ä¸Ģ 大", + "Ġpr ÃŃncep", + "ari us", + "Ġdi Ãł", + "ill as", + "ation ally", + "åĢ ¡", + "Ġseg ones", + "g ro", + "pro j", + "Ġsun set", + "hand ed", + "ĠCamp bell", + "h z", + "ĠW IDTH", + "ä½ı å®ħ", + "Ġllind ar", + "\\ }}", + "Ġlocal ized", + "Cont ains", + "Ġfire place", + "head ed", + "ĠAd obe", + "m icro", + "quest ions", + "és umé", + "ä¸Ģ 段", + "Å Ł", + "ĠSw ift", + "app ings", + "ĠN intendo", + "éª ¤", + "çĹ ĺ", + "NOT E", + "Ġsovere ign", + "up dated", + "åŁº åĽł", + "ĠV ene", + "Ġrun ner", + "Ġconce p", + "ĠY OUR", + "Ġcant ant", + "Ġlad der", + "un i", + "SER VER", + "Ġay uda", + "ĠC ONT", + "second ary", + "H H", + "Ġqu é", + "An notation", + "çºł 纷", + "ĠФи ли", + "ĠSa fe", + "Ġsi empre", + "ä¸Ģ缴 åľ¨", + "not ify", + "å¥ĸ åĬ±", + "o ard", + "Ġm ism", + "LE MENT", + "ĠPar lament", + "Ġcon grat", + "t ube", + "Ġde put", + "Serv let", + "an ar", + "Ġvib rant", + "ĠA WS", + "çī© çIJĨ", + "Ġemphas ize", + "Ġpl otted", + "ĠAct ualment", + "ĠC BD", + "åĿĩ åĮĢ", + "r ac", + "r n", + "Ġsl ides", + "èį¯ åĵģ", + "prob ably", + "å¿ĹæĦ¿ èĢħ", + "å½¢ åĬ¿", + "Ġдо каÑĤо", + "mor ning", + "Ġw ired", + "ĠC raft", + "Ġas certain", + "ĠAl ong", + "Ġl ined", + "esc ript", + "з ан", + "govern ment", + "为 ä½ķ", + "ĠN an", + "in ici", + "g pu", + "æ» ©", + "Ġprin cess", + "Ġtransist ors", + "说 åĪ°", + "Ġn as", + "vÄĽ t", + "T y", + "Ġlob by", + "åıij æĶ¾", + "èĢģ å©Ĩ", + "Ġcomm erce", + "p el", + "æīĭ ç»Ń", + "ĠGet ting", + "Ġharm onic", + "æĿĥ çĽĬ", + "tic les", + "Ġatt ractions", + "Ġinform ative", + "Ãł st", + "åĸľæ¬¢ çļĦ", + "Ġresol utions", + "æŁ ´", + "Rec ent", + "Ġarriv ing", + "ĠConf eder", + "Ġadvoc ate", + "Ġmult itude", + "Ġtr ades", + "Ġsa fer", + "æĺ¯ å¾Ī", + "å¼Ģ äºĨ", + "ung le", + "大 åĬĽ", + "r é", + "òg raf", + "ĠLuc y", + "æķ´ åIJĪ", + "Ġelev ation", + "M ix", + "æĪij们 åı¯ä»¥", + "ми лиÑı", + "Ġtravel s", + "ĠGu il", + "Ġinf ra", + "Ġме Ñģе", + "Ġfin ishes", + "Ġesc riptor", + "æį® äºĨ解", + "ĠC row", + "Ġdes apare", + "Ġsurv ived", + "part ed", + "Ġant iga", + "Ġcalcul ating", + "Ġco aches", + "Ġpre position", + "Ġprompt ed", + "Ġm akers", + "Ġorient ed", + "ĠM IT", + "Ġtr ucks", + "Ġbar rel", + "M ARY", + "Ġus a", + "Ġtem es", + "Ġf en", + "æ¸ħ æ´Ĺ", + "Ġdetall ades", + "ob a", + "强 大çļĦ", + "per cent", + "ps y", + "SO UR", + "S ure", + "am en", + "Cal cul", + "li ques", + "åŃ£ èĬĤ", + "Ġw ines", + "Ġest ats", + "Ġdiv ider", + "ĠR ace", + "Ġbre ach", + "F ER", + "Ġsurround ings", + "ÑģÑĤве но", + "æľ¬ æĸĩ", + "ent ina", + "Ġcustom s", + "Ġtrad ició", + "lo qu", + "Ġas i", + "æĩ Ĵ", + "o ften", + "Draw ing", + "Ġamen ities", + "Ġst oring", + "Ġspect ro", + "ĠAl abama", + "Ġdelet ing", + "Ġм но", + "Ġwitness ed", + "Ġtou ches", + "hor se", + "cast le", + "it arian", + "Ġload er", + "Ġpá gina", + "Ġparticip ant", + "Ġvalid ity", + "ĠPark er", + "Habitat ges", + "ä¸į åı¯èĥ½", + "Qu ick", + "S ide", + "Ġinter ven", + "Ġpar as", + "ĠDep art", + "L ittle", + "Ġshell s", + "ĠUr ban", + "Ġ| =", + "ĠN vidia", + "Ġcost ume", + "Feb ruary", + "angle ment", + "Ġmis ma", + "The me", + "ĠGe o", + "å¦ ¥", + "b ud", + "Array List", + "Ġcu enta", + "ount ain", + "Ġutilitz at", + "H ook", + "Ñģе даÑĤел", + "ĠS ue", + "IR ST", + "w estern", + "Ġrom ana", + "ĠS or", + "Ñģле дова", + "on ial", + "Ġloc ale", + "ĠDo or", + "Ġter ren", + "em in", + "ç¼ ł", + "ĠInter face", + "çº ±", + "G F", + "Ġreg iment", + "au er", + "new line", + "Ġciut ad", + "Ġfunction ing", + "Ġstrugg led", + "Ġtermin als", + "Act ors", + "Ġaver aged", + "Ġtim ber", + "ÑĢиÑģÑĤ иÑı", + "il itation", + "ÑĤо ÑĢа", + "w ig", + "Ġplain ly", + "ĠF o", + "L M", + "add EventListener", + "ĉ function", + "ĠпаÑĢ ÑĤиÑı", + "IN DEX", + "и мен", + "è¶ħ è¶Ĭ", + "Ãłm ica", + "ĠH end", + "Ġа меÑĢиканÑģки", + "Ġdest ruct", + "C od", + "iv an", + "pect or", + "inn amon", + "ĠU RI", + "Ġtit led", + "cons ist", + "ĠLeg al", + "Ġbatt les", + "ĠT rip", + "Ñĩ ниÑı", + "Ġab st", + "ĠT aking", + "ack ets", + "ut ed", + "vers ation", + "ĠJim my", + "v v", + "Ġclar ify", + "rel ations", + "W O", + "Ġбли зо", + "ĠDE BUG", + "flu id", + "å°ı 说", + "Ġsu icide", + "sub st", + "åĨ³ çŃĸ", + "Ġdestac ar", + "Ġvers atile", + "Ġпе Ñĩели", + "ucl idean", + "ĠSy ria", + "Ġdes con", + "ang a", + "æĮ £", + "Ġwid ow", + ") _{\\", + "ĠRe ally", + "害 æĢķ", + "################ ################", + "Ġo we", + "Ġregist ro", + "âĢĶâĢĶ âĢĶâĢĶ", + "Mod al", + "Ġre gex", + "两 次", + "Ġsusp icious", + "Ġt weet", + "ĠLO VE", + "ç¦ģ æŃ¢", + "D a", + "ĠB U", + "Ġrespons ive", + "Ġfoot print", + "ĠDe al", + "ä» ²", + "使 åij½", + "ul in", + "ĠÐľ он", + "g p", + "ĠJ ar", + "è¢ ĸ", + "æĪ¿ ä»·", + "Ġp ione", + "Ġup ward", + "Ġestim ator", + "Ġphot ons", + "ĠÑģÑĬ ÑģÑĤав", + "ĠR alph", + "Ġref lex", + "Ġиз Ñģлед", + "orient ed", + "Ġwhen ce", + "Ġба Ñīа", + "ĠигÑĢа е", + "Ġjust ified", + "Ġharm ful", + ") \",", + "iz en", + "кÑĥ л", + "N aixements", + "ç¥ Ń", + "Ġagre es", + "BA SE", + "Ġroll s", + "ĠNAV BAR", + "ar Ãł", + "Ġdefect s", + "Ġw rest", + "Output Stream", + "Ġop ponents", + "ä¹ĭ è·¯", + "P in", + "Ġб Ñĥ", + "ĠпÑĢо гÑĢа", + "\\ [\\", + "al ready", + "ass o", + "lat est", + "Ġdis ability", + "Ġv es", + "L IB", + "ĠN A", + "Ġdon ations", + "æķ°æį® æĺ¾ç¤º", + "de ath", + "å¼ķ è¿Ľ", + "Ġпомо Ñī", + "t ro", + "trans port", + "лек ÑĤÑĢо", + "Sign ature", + "Ġa ustral", + "Ġgovern ed", + "мпи он", + "ÃŃ fica", + "Part icip", + "Ġstri ps", + "BE GIN", + "ĠShe ll", + "åĪ¤ åĨ³", + "ĠPrim ary", + "G ROUP", + "ĠÑĤ ÑĢан", + "дÑĢи Ñħ", + "åIJİ æľŁ", + "?? ?", + "ĠMC U", + "AT URE", + "ĠW ant", + "b ib", + ".' \"", + "Ġfron tera", + "Ġwas ted", + "ĠCh art", + "èµ «", + "ĠBud d", + "ĠPho enix", + "Pub lished", + "ou x", + "d os", + "èĩª æ²»", + "L and", + "ĠOk lahoma", + "Ġpro ces", + "ĠInd ones", + "] \"", + "ĠX I", + "S ched", + "Ġclean er", + "Ġjum ping", + "Ġcorrespon ia", + "Ġgr ades", + "ĠдÑĢÑĥ г", + "ĠW a", + "æ» ¤", + "Ent re", + "ä¼ł æī¿", + "Ġcolle ges", + "Ġprop he", + "et ed", + "Ġro ses", + "Ġrep orter", + "Ġagric ulture", + "Ġuniqu ely", + "ĠC ategory", + "ĠB T", + "ĠHil bert", + "w x", + "Ġwe aker", + "ĠG ROUP", + "Ġrepresent a", + "ig m", + "Ġvi at", + "Ġpred ecess", + "Ġgen re", + "å¦ ¨", + "Ġprov oc", + "Aj untament", + "ari en", + "h undred", + "çļĦ ä¼ģä¸ļ", + "Ġdep ict", + "Ġr hythm", + "å¥ĭ æĸĹ", + "ĠP ray", + "I ll", + "ĠT S", + "Ġgu ilt", + "éĿ¢ ä¸Ĭ", + "gen es", + "Ġfather s", + "åĨį åĬłä¸Ĭ", + "Ġge odes", + "ĠD ise", + "az ines", + "ĠFis her", + "Ġdemocr acy", + "en ç", + " ¶", + "æ°´ çļĦ", + "åĸ Ĥ", + "Ġin complete", + "åľ° ä¸Ĭ", + "Ġaf irm", + "ĠSwed en", + "ĠC offee", + "t imer", + "system d", + "Ġби ли", + "ĠR at", + "Ġpol ÃŃtics", + "G raphics", + "Ñı ванеÑĤо", + "RE QUEST", + "Ġb oring", + "ĠR d", + "й Ñģка", + "Ġgeneral ment", + "Ġа каде", + "Ġcyl inder", + "m icrosoft", + "Ġlaunch ing", + "ĠBrook lyn", + "if olds", + "åİŁ åĪĽ", + "西 æĸ¹", + "soft ware", + "Ġguard ar", + "Ġlaun cher", + "ĠV eter", + "Ġгене ÑĢал", + "ĠD S", + "ĠF ALSE", + "J ac", + "od ium", + "ip te", + "ï a", + "Arg uments", + "Z ero", + "ĠCa esar", + "ari um", + "ĠÑģе ÑĢи", + "ĠPh arm", + "Ġconten ido", + "Ġvi able", + "Ġup grades", + "ĠOrgan ization", + "le man", + "Ġú n", + "Ġscholar ship", + "ĠHer itage", + "Ġwh isk", + "Ġc ries", + "Ġac ute", + "ĠCre u", + "Ġdes ocup", + "Ġdom ini", + "AR G", + "åıij çļĦ", + "Ġconc aten", + "Ġte aches", + "Ġtraject ories", + "result ado", + "pl ica", + "æ¼ Ĩ", + "er ge", + "è¦ģ æľī", + "æIJľ ç´¢", + "èı ©", + "Ġcond ens", + "Ġprote ins", + "Ġex ponent", + "anc ers", + "Ġesdeven ir", + "ве ÑģÑĤен", + "çĶµè§Ĩ åī§", + "Ġback wards", + "ĠLiver pool", + "éĢĢ ä¼ij", + "об ÑĢаз", + "Ġed itors", + "Ġsav age", + "æľºåĻ¨ 人", + "Ġgu ards", + "Ġself ish", + "Ġreal itat", + "Ġre lying", + "imp se", + "æľĢ å¤ļ", + "æĹ© å·²", + "éķ¿ 大", + "S omething", + "ĠÐľ Ñĥ", + "è¾Ī åŃIJ", + "è¦ģ 注æĦı", + "Ġll ac", + "She ll", + "Own er", + "æĬ¤ çIJĨ", + "ank a", + "ut down", + "continu ed", + "ĠG un", + "Ġtr on", + "Ġgen es", + "k le", + "Ġelimin ar", + "Ġ ús", + "Ġout per", + "èĴ ĭ", + "post s", + "Ġing res", + "es es", + "AR CH", + "Ġtrust y", + "ĠEll en", + "ĠDep ending", + "ĠHawai i", + "ST M", + "P romise", + "Ġachieve ments", + "OT T", + "W ARNING", + "Ġин ÑĤе", + "大 æķ°æį®", + "min imum", + "åħ ij", + "che t", + "r ag", + "sub equations", + "è¯ģ 书", + "è¿Ļ éĥ¨", + "work er", + "ĠRom ans", + "ĠBen ef", + "æĥħ å½¢", + "x org", + "ĠÐIJлекÑģанд ÑĬÑĢ", + "Ġpuzz le", + "ĠL IMIT", + "Ġw ives", + "E t", + "åħ¨ 身", + "asc a", + "Ġ( ,", + "bol ic", + "è¿Ļ å°±", + "ĠIs abel", + "exec ution", + "Ġmorph ism", + "å® ´", + "Ġrom an", + "Ġcarre tera", + "Read y", + "B ool", + "Ġapro ximadament", + "ous and", + "rupt ed", + "ri ents", + "ur as", + "inter ès", + "Ġlog arith", + "ĠÐĴ Ðľ", + "æŁ ı", + "Ġиз лиза", + "ĠG host", + "diff icult", + "Ġhospit ality", + "ic ina", + "ĠAll iance", + "в ниÑı", + "Ġlist ings", + "Ġretir ar", + "Ù ĩ", + "ĠPart icip", + "H ouse", + "ab ric", + "Ġj ac", + "æ°§ åĮĸ", + "see ing", + "Ġbreat he", + "> =Ġ", + "H N", + "Ġsp ont", + "s ense", + "Ġre de", + "Ġch ase", + "Ġsun light", + "ĠV ila", + "è¿Ľ æĶ»", + "Ġdiff ers", + "ÑĦ о", + "Ġconsist ed", + "D ynamic", + "at ility", + "è¾¾ åĪ°äºĨ", + "Ġan te", + "Ġsol en", + "M el", + "Snap shot", + "Ġsp ins", + "g ap", + "Ġcomp ressed", + "Ġut tered", + "ĠBow l", + "Text View", + "ific a", + "Ġc ss", + "ĠM ason", + "Ġsu g", + "åĽ¾ 书", + "Can not", + "ĠW ILL", + "åİ ĺ", + "Ġcompre hend", + "çģ« 车", + "Ġdrag ged", + "Ġcon ductor", + "ĠB UT", + "v t", + "ert at", + "ĠRet rieved", + "met er", + "åĬŁ çİĩ", + "C are", + "ä½ľ æĸĩ", + "äºĪ 以", + "re ci", + "产 æĿĥ", + "Ġdest ro", + "C PU", + "ext ensions", + "sche me", + "id ors", + "ĠSw iss", + "å½ķ åıĸ", + "Decl aration", + "ĠJul ia", + "Ġconject ure", + "Ġment ions", + "ro be", + "Ġbus h", + "other apy", + "人工 æĻºèĥ½", + "id ades", + "же на", + "Ġc b", + "ĠF ine", + "éĩį çļĦ", + "s low", + "ÑĨи али", + "Ġfe ast", + "pec ial", + "ge ant", + "Ġsim il", + "ĠÑģи ли", + "Ġseve rely", + "ĠTechn ical", + "ĠL yn", + "пиÑģа ние", + "Ġlink ing", + "Ġimm igration", + "h aus", + "è ©", + "Ġp Ãłrqu", + "Ġfil ing", + "\"../../../../../../ ../", + "Ġfun ctor", + "Ġdo zens", + "ident ity", + "just ice", + "Dist ance", + "Ġm im", + "F rid", + "ĠX II", + "å·® è·Ŀ", + "ä¾Ŀ éĿł", + "st a", + "Pro position", + "ĠSing h", + "Ġjud icial", + "ĠCr usher", + "._ --", + "ĠTR UE", + "L T", + "Ġdev uelve", + "èĭ į", + "ĠP UB", + "ĠĠĠĠĠĠĠĠ Ġ|", + "Ġany time", + "acc ording", + "Ġshar ply", + "ĠBar on", + "att ention", + "ĠLeg isl", + "Ġd h", + "Ġso y", + "çĽij æµĭ", + "Ġh ated", + "ha ver", + "================================ ================================", + "Ġaccess ing", + "Ġresid ències", + "ĠpÃłrqu ing", + "ol ph", + "E ST", + "Bu y", + "M ot", + "åĽŀ å½Ĵ", + "Ġaest hetic", + "ĠG ary", + "åı¦ ä¸Ģ个", + "Ġend ure", + "å¤ļ åħĥ", + "ĠÑħеÑĢÑĨо г", + "Ġm ÃŃn", + "ä½ł åı¯ä»¥", + "c ir", + "F riend", + "qu in", + "åĮ Ļ", + "ÑĤа на", + "ĠнаÑģеле ние", + "pr agma", + "ust ain", + "ĠXV I", + "ide a", + "d ynamic", + "ph ys", + "ĠAng laterra", + "æī ij", + "Ġcoinc ide", + "Pre v", + "天 天", + "ç³ĸ å°¿", + "Ġпо Ñģ", + "è§Ĥ 念", + "Ġо пеÑĢа", + "Ġp ension", + "Ġrem inder", + "ĠA V", + "Ġproceed ing", + "A W", + "åŃ Ł", + "sh irt", + "äº Ń", + "Ġpr iced", + "m achine", + "Ġla undry", + "Ġp ics", + "Ġatt ent", + "________________ ________________", + "( ['", + "Ġd otted", + "Ġarch ivos", + "ĠÐ¥ и", + "Ġsens ation", + "L ead", + "Ġо ÑĦиÑĨиал", + "cho ose", + "r ats", + "ĠX IV", + "ĠDI Y", + "Ġn at", + "NS String", + "Ġ( ?", + "C hat", + "ĠR ent", + "Ġtod as", + "l v", + "Ġaccept s", + "Ġком п", + "Ġdeman ar", + "Ġch ron", + "ĠAust ria", + "Ġmerc at", + "Ġdis joint", + "ĠCru z", + "Am èrica", + "vers ions", + "de o", + "ĠStr ong", + "br is", + "ĠIN DEX", + "Ġcens ats", + "ordin ates", + "Ġre tr", + "ĠAct ually", + "Ġjo ins", + "Ġejecut ar", + "W ar", + "å¿« éĢĴ", + "appropri ate", + "Ġиз ÑĤо", + "ç©¿ çĿĢ", + "ĠST AT", + "m ong", + "Ġsim ulate", + "c z", + "å¯ Ĥ", + "\\ -", + "ĠJ ere", + "Ġeditor ial", + "Ġrecuper ar", + "Ġа меÑĢикан", + "Ġcal ories", + "Ġcons ensus", + "æł¼ å±Ģ", + "Ġchap ters", + "N orm", + "ĠD ra", + "B on", + "ĠV ancouver", + "Ġunder ground", + "æ´» åĬĽ", + "Ġscan ning", + "åħ± åĴĮåĽ½", + "ogrÃł f", + "Tim estamp", + "Ġsatisf actory", + "çĪ± 好", + "s yn", + "Ġg own", + "çĭ ł", + "pret ty", + "S ent", + "re ceived", + "Ġdeb es", + "ĠF ashion", + "æĹł éĻIJ", + "ĠDev ices", + "Sim ilar", + "é¤IJ åİħ", + "it ució", + "sd k", + "Ġes cl", + "respons ive", + "Ġa h", + "Ġinact ius", + "æŀ £", + "çļĦ 表çİ°", + "itut ing", + "W alk", + "po or", + "ä½ĵ åĨħ", + "ĠMark ov", + "erson als", + "Ġgroc ery", + "Sep ar", + "quitect ònic", + "W ater", + "åĿļ åĨ³", + "Ġfis her", + "Ġcorrel ated", + "å±± 西", + "V EL", + "P K", + "Ġк лÑĥ", + "Ġimport Ãłncia", + "åıĺ æĪIJäºĨ", + "Ġl ol", + "å±ħ çĦ¶", + "ĠBalt imore", + "ĠW elcome", + "IC H", + "Ġacon seg", + "f ailed", + "æµ Ĩ", + "Ġcoc onut", + "ph oto", + "inf lu", + "Mark er", + "Ġnormal ization", + "A RE", + "Ġen roll", + "Ġtra ils", + "Ġt ales", + "Run ner", + "å» ·", + "Add ed", + "Ġcro ps", + "ĠKey board", + "em ade", + "land o", + "ĠSalv ador", + "Ġm estre", + "Ġsam pled", + "Ġconcent rated", + "Ġremind s", + "ev a", + "Ġparticip ated", + "ĠP ent", + "ĠPro of", + "ĠT rain", + "Ġb a", + "ĠPro test", + "Ġcap baix", + "Ġconver ges", + "Ġbrit Ãłnics", + "th anks", + "Ðŀ б", + "ĠR ate", + "è¿Ľ åİ»", + "Ġwork around", + "LE ASE", + "b x", + "Ġre write", + "çļĦ 车", + "ĠPos ition", + "Miss ing", + "æĨ ¾", + "Ġllog aters", + "cur l", + "Ðľ е", + "å¾Ĺ äºĨ", + "ĠÐĴели ко", + "Ġadapt ation", + "Ġв еÑĢ", + "Ġdr ill", + "гÑĢа ÑĦиÑı", + "órm ula", + "Ġla v", + "Ġdec is", + "б ÑĢан", + "Ġo mit", + "ĠB J", + "du es", + "ĠSt ars", + "Ġprof itable", + "Ġcommand er", + "comp ass", + "åĵª 个", + "Ġinstruct or", + "h da", + "å¢ŀ éĢŁ", + "reg istr", + "ĠнÑı ма", + "Ġst ove", + "ĠPat ri", + "ĠR ésumé", + "int rodu", + "z oom", + "Ġout ward", + "ĠChe l", + "rit a", + "Ġstatist ique", + "åĨ ¯", + "æ³ķ è§Ħ", + "De cember", + "ĠSu ite", + "in qu", + "ĠUt ility", + "пÑĢи меÑĢ", + "Ġdin astia", + "Ġsk irt", + "Ġinterf ere", + "Ġmis ery", + "é¸ Ń", + "ĠHand le", + "an ed", + "ĠDef ense", + "ĠÑģпе ÑĨиал", + "ĠN ancy", + "de precated", + "çļĦ 第ä¸Ģ", + "ĠN urs", + "Ġg ru", + "è¢ ģ", + "ĠP av", + "ĠTe atre", + "| <", + "Ġe cosystem", + "es k", + "ç¥Ŀ ç¦ı", + "ĠCh ron", + "ĠÑģÑĬ дÑĬÑĢжа", + "Pir Ãłmide", + "R F", + "åĪ ¹", + "Ġsuff ix", + "eng a", + "Ġrot ating", + "Ġgrat uït", + "ĠRec ently", + "Ġaccret ion", + "C rit", + "ĠU ntil", + "å½± è§Ĩ", + "Ġcast ing", + "and ed", + "Ġrespect e", + "Ġnovel s", + "Ġsh aking", + "Ġsup pressed", + "ĠC ob", + "京 举", + "Ġunip ersonals", + "Ġm ice", + "Ġgl oss", + "ĠAss ume", + "Del ay", + "Ġal gebras", + "ко ви", + "è¿Ļ ç±»", + "ĠBey ond", + "Ġamb ition", + "ĠWar ren", + "ĠE T", + "ING S", + "ĠO H", + "èĢĥ å¯Ł", + "Ġpre n", + "åĪ° æĿ¥", + "ĠAp pe", + "Ġnou ns", + "å¿ĥ æĢģ", + "ym ph", + "decl are", + "ind uced", + "Ġweak ly", + "ĠV ar", + "hat tan", + "æ¸ħ çIJĨ", + "çIJĥ è¿·", + "M ov", + "c orn", + "ĠвÑĢеме ÑĤо", + "Ġtraged y", + "ill ance", + "ĠI ter", + "Ġem power", + "æľº çļĦ", + "ID ENT", + "Ġp au", + "Ġbl oss", + "ä¸Ģå®ļ ä¼ļ", + "Ġdispos it", + "大家 éĥ½", + "ĠAl aska", + "comp act", + "å§ij å¨ĺ", + "æīĢ å¾Ĺ", + "Ġg ard", + "Ġshe er", + "as ped", + "ĠÃī volution", + "C AT", + "C AP", + "_{ -\\", + "Ġbreak down", + "ä¿Ŀ çķĻ", + "ле нове", + "ĠЦ ен", + "M uch", + "M F", + "Ġcovari ance", + "Ġmer id", + "åĴ ¬", + "ÐĽ и", + "Ġnúmer os", + "Ġ<< Ġ", + "ĠAquest es", + "Ġг е", + "rat io", + "ĠP ictures", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠ", + "re nc", + "Ġw ides", + "TER N", + "rit es", + "让 èĩªå·±", + "Ġdep icted", + "òleg s", + "èt ics", + "in ació", + "am iento", + "le af", + "ç¿ ł", + "Big g", + "æ´¾ åĩº", + "Christ ian", + "r out", + "Ġevalu ating", + "ure rs", + "åѦ åİĨ", + "pe z", + "le z", + "Ġst aring", + "па ÑĤа", + "Ġsold ats", + "Ġmand atory", + "ĠPer iod", + ".* ;", + "Ġon ion", + "Ġpo eta", + "Ġautom ation", + "ĠK ol", + "âĦ ĸ", + "Ġnews letter", + "æ ª", + "éĩįè¦ģ çļĦæĺ¯", + "Ġcal or", + "b ands", + "Ġhel pless", + "Ф ил", + "Y S", + "åı¦ä¸Ģ æĸ¹éĿ¢", + "Ġschol ars", + "ater ia", + "Me asure", + "æĤ¨ çļĦ", + "åı¯ä»¥è¯´ æĺ¯", + "en burg", + "ĠV k", + "Ġhon ored", + "Ġbe aches", + "ä¹Ł å°Ĩ", + "m x", + "ÐŁ ÑĬÑĢ", + "ĠInt roduction", + "ĠG ift", + "ĠQ t", + "sem bling", + "T ools", + "Ġem bro", + "Ġoverse as", + "æľī åı¯èĥ½", + "EN V", + "andid ate", + "h in", + "Ġdi ari", + "Ġtèc nica", + "fl ash", + "In ner", + "sm ith", + "Ġeigen value", + "d jango", + "ĠN om", + "Ġaud iences", + "ĠBen jamin", + "ĠCom mercial", + "Ġem pr", + "èĬ ½", + "ле ниеÑĤо", + "ade qu", + "Ġpint ura", + "Ġf ets", + "Con clusion", + "ĠM esa", + "Ġpuls es", + "Ġtall er", + "Ġj oves", + "Ġl ar", + "è¾ĵ åħ¥", + "Hab itants", + "N ational", + "ĠB loom", + "Cont ract", + "fort une", + "Ġcl ima", + "миниÑģÑĤÑĢа ÑĤи", + "c ancel", + "dis patch", + "Ġpresent ations", + "ĠQu art", + "N eg", + "ist ocr", + "ĠIslam ic", + "æī¿ 认", + "V ers", + "fon o", + "ĠN J", + "Ġint ro", + "Ġhel per", + "ĠF ixed", + "åľ¨ å¤ĸ", + "Ġly rics", + "ĠÑĤÑĬ й", + "ous ed", + "Ġsw ear", + "åѦ æľ¯", + "Ġconflic ts", + "æĦ ģ", + "Ġrein force", + "cl s", + "èĵ Ħ", + "ĠI o", + "ä¾ ¯", + "Ġmag istr", + "Ġdisplay ing", + "ĠR idge", + "FI X", + "è¿İ æĿ¥", + "ĠUn known", + "èĢĥ æł¸", + "ĠС ко", + "Ġrespect s", + "æį® æĤī", + "Ġtun ing", + "ма ÑĢ", + "db c", + "ĠH us", + "ho pe", + "Ġt ribute", + "ĠN ear", + "Ġbar riers", + "ç² ¥", + "ви зи", + "解 æĶ¾", + "Ġbrit Ãłnic", + "Ġtrans ient", + "ĠPh ysical", + "на ÑĢо", + "Ġproxim ity", + "大 çĽĺ", + "Ġt ÃŃ", + "Ġbl own", + "çŃī æĸ¹éĿ¢", + "ä¹Łå°±æĺ¯ è¯´", + "Ġgl anced", + "æŁIJ æŁIJ", + "ial is", + "Ġra ises", + "æķ ²", + "esc acs", + "å¤Ħ çļĦ", + "åĽ½ åĬ¡", + "form a", + "gl ob", + "Set up", + "Ġhistò ric", + "èĽ ĩ", + "ĠQ U", + "Ġbrows ing", + "Ġconce al", + "Ġjubil ades", + "E VENT", + "Ġlear nt", + "Ġa us", + "åħ¬å®ī å±Ģ", + "Ġreg ener", + "é«ĺ è´¨éĩı", + "Ġq ü", + "Ġem itter", + "__ )", + "ĠK ay", + "der r", + "ĠÐij ÑĬлгаÑĢ", + "Ġcustom ize", + "parent s", + "Ġcosm ological", + "Ġat ribut", + "Ġprem ises", + "Ex pected", + "ĠChar acter", + "ĠL AN", + "Ġs òl", + "ĠN ice", + "ild a", + "NG TH", + "ĠTh y", + "æµģ è¡Į", + "pro t", + "less ness", + "è¡ ¬", + "Ġalt ar", + "Ġal oud", + "Ġsp ouse", + "ĠT ogether", + "Ġexplot acions", + "Ġst ared", + "ĠR achel", + "ç al", + "ĠCar ter", + "k ed", + "ĠBe auty", + "è¡Įä¸ļ çļĦ", + "ĠPo or", + "Vis ual", + "ĠC leveland", + "Ġmedic ations", + "Ġy arn", + "ĠS ymbol", + "Ġmus ul", + "J ose", + "Ġform en", + "Ġmulti plication", + "Ġv apor", + "Ġsh ifting", + "ĠInt ent", + "Ġmin us", + "Ġby pass", + "= Ġ$", + "èĨ Ŀ", + "Ġingred ient", + "çĶ¨ äºĨ", + "Ġp ills", + "con cat", + "转 åıĺ", + "Mod els", + "æķ´ æĶ¹", + "Ġcompos ició", + "Ġdis position", + "Ġvit amin", + "Execut or", + "ç²¾ èĩ´", + "Ġd orm", + "Ġtrick y", + "ĠTurk ish", + "op ol", + "Ex c", + "Ġconst itute", + "Ġin clusive", + "Be en", + "Ġcamp ing", + "Ġllog ats", + "ile vel", + "Ġpret end", + "ä¸ĵä¸ļ çļĦ", + "Ġk ernels", + "aj o", + "Ġun used", + "ĠStan ley", + "éģ ®", + "Ġye ah", + "Ġinteract ing", + "F N", + "Ġtem ples", + "ĠBroad way", + "enc oding", + "åIJĦ èĩª", + "Dep th", + "м пе", + "Ġко ÑĢа", + "Ġbas ement", + "Ġconsum ing", + "çĶ³ æĬ¥", + "è§ģ åĪ°", + "Ġdram atically", + "bor ne", + "ĠNether lands", + "Ġdistinct ive", + "Ġt uple", + "Ġgraph ical", + "ĠгÑĢа жда", + "ç¦ı åĪ©", + "ĠC ec", + "èİ·å¾Ĺ äºĨ", + "ĠE V", + "ues e", + "Ġappropri ately", + "Ġsail ing", + "Ġpar la", + "ĠBo ys", + "Te chn", + "ĠGi ov", + "n od", + "åĩº åı°", + "ве д", + "Ġfat igue", + "Ġm ont", + "Ġadjust able", + "Frid ay", + "ко ва", + "ncy cl", + "br anch", + "Ġcirc ulation", + "çļĦ è¿ĩç¨ĭ", + "Ġent ren", + "Ġterm ination", + "Fr ank", + "ĠM ack", + "Ġdeploy ed", + ". }\\", + "n os", + "ir ies", + "Ġspec ifies", + "p aste", + "An aly", + "çĶ¨ 人", + "æĻ ķ", + "ot er", + "转 åĮĸ", + "èµĽ äºĭ", + "hel m", + "ss on", + "Ġhistor i", + "éĢļ 讯", + "ĠMat hemat", + "Ġneg oci", + "Back up", + "ĠR oche", + "Ġeth nic", + "IS O", + "Ġinitial ization", + "Ġpara ula", + "Ġad ap", + "Ġpoll ution", + "l ès", + "Ãłlis i", + "if a", + "çģ Į", + "ynchron ous", + "Ġan tes", + "ĠH ob", + "Ġе вÑĢо", + "ĠRes ort", + "ĠCam era", + "j dk", + "alt re", + "æij Ĭ", + "Ġful filled", + "Ġcom ú", + "Ġneut ron", + "Ġpl ac", + "igen ous", + "ĠPhil os", + "ĠEx amples", + "Ġnombros os", + "S ay", + "ĠM onsieur", + "ĠPo isson", + "Ġmerch and", + "ÑģÑĬ к", + "Ġm ould", + "çģµ æ´»", + "Ġrefres hing", + "ĠOlymp ic", + "Ġl ug", + "ĠгÑĢÑĥпа ÑĤа", + "th in", + "Ġshock ed", + "Ġaff irm", + "re le", + "Ġclaim ing", + "åįģ 足", + "iqu ity", + "ä¸Ģ 段æŶéĹ´", + "list ed", + "ве ли", + "appe ared", + "æĺ¯ çĶ±", + "Ġpro st", + "Ġch ick", + "mount ed", + "Ġfl avour", + "Ġref ug", + "Ġdam n", + "Sh op", + "B s", + "Ġl amb", + "ĠArgent ina", + "ĠGr ècia", + "ĠDef ine", + "çļĦ åıij", + "ĠF M", + "æĽ °", + "èij Ľ", + "tr ight", + "ĠLog in", + "set t", + "Ġund ers", + "icion es", + "ä¹° åįĸ", + "ĠTrans fer", + "Ġoper a", + "Met rics", + "Ġrepart ia", + "Ġpl aint", + "v dots", + "Ġb ins", + "åIJ µ", + "an ter", + "Ġcell ular", + "ĠR ip", + "ed ic", + "Us ed", + "ĠаÑĢ Ñħи", + "ĠChair man", + "# !/", + "åħ» æ®ĸ", + "vent ions", + "Ġvan ity", + "éļ¾ 度", + "Ġnav al", + "Ġpol ite", + "å°± 没æľī", + "ĠÐĴ ла", + "ma id", + "Ġs ag", + "ĠN ull", + "may be", + "Ġham mer", + "ĠInd ependent", + "Ġcas ades", + "ch ard", + "Ġcorrect amente", + "ash a", + "åĪĨ å¸ĥ", + "代 è°¢", + "FLA G", + "rec ated", + "Ġarriv es", + "M EM", + "Ġpro gr", + "Ġac ord", + "ĠW A", + "æ¶Ī éĻ¤", + "sc reens", + "ĠCl are", + "ĠH ale", + "Ġunderstand s", + "æĶ¶ èĹı", + "the ory", + "Ġmer ry", + "Ġrenew ed", + "Ġdist rib", + "Ġt ir", + "ĠÑģ ÑĤÑĥ", + "ä½ĵ ä¼ļ", + "A st", + "ĠT CP", + "ÑĢиÑı ÑĤа", + "h ort", + "per l", + "æĽĿ åħī", + "ÑĦи ка", + "f ake", + "éĥ¨ éĺŁ", + "éĵ Ŀ", + "æĢ» 绣", + "ĠC ream", + "Ġnom s", + "Ġhabit ual", + "ĠP ier", + "åįł æ¯Ķ", + "Ġillustr ates", + "organ ització", + "/ )", + "ĠÑĢаз де", + "tip o", + "Ġseg uretat", + "em ale", + "qu o", + "New ton", + "ĠEm ma", + "M ut", + "ĠS out", + "Ġre ass", + "In gress", + "se ek", + "Ġpor ch", + "ĠDate Time", + "h yp", + "Ġen larg", + "Ġgener a", + "met ric", + "è nia", + "Ġminor ity", + "Comp any", + "Cal endar", + "èij£äºĭ éķ¿", + "sc hed", + "ĠLouis iana", + "Liter al", + "çī© çļĦ", + "Ġchair man", + "Ġcivil ization", + "Ġdif ÃŃc", + "Ġbas ics", + "åĩ ¶", + "Ġsub section", + "ĠE ld", + "б ан", + "ĠGab riel", + "f y", + "Ġp encil", + "п ÑĢед", + "Ġis omorphic", + "Ġcle aring", + "Ġsp a", + "ĠE ye", + "x ffffff", + "âĢĭ âĢĭ", + "L aw", + "Ġlin en", + "ill on", + "Ġdisappoint ment", + "Ġmulti plic", + "\" {{", + "Ġtreat y", + "Ġpro l", + "emet ery", + "åIJ ķ", + "би ÑĢа", + "ĠCr ime", + "ov ent", + "Ġlast ed", + "ĠiP od", + "ĠD ad", + "éģŃ éģĩ", + "ĠS old", + "ĠB ring", + "get Instance", + "Ġunder go", + "ĠOffic ial", + "ro ps", + "ä¸ĭ æ»ij", + "å®ŀçİ° äºĨ", + "ç»Ļ 人", + "Ver ify", + "Ġsc aled", + "urb an", + "Ġan notation", + "Ex ists", + "ĠHor se", + "ĠJun ior", + "ÐŁ ÑĢе", + "åĭ ¾", + "im ens", + "麻 çĥ¦", + "ry s", + "Ġva ult", + "ĠTr uth", + "çĭ ±", + "every thing", + "ĠS id", + "Ġper pendicular", + "Ġsurprising ly", + "çİ ²", + "è®° ä½ı", + "Ġless er", + "åľ° 说", + "ĠпÑĬÑĢ виÑı", + "Style ID", + "Ġprem is", + "Ġat urades", + "ces ter", + "ĠBr uss", + "Pres ident", + "Ġim plic", + "Ġat org", + "ĠÑĢежи Ñģ", + "Con verter", + "Aquest a", + "ĠÑĨ ел", + "é¢ ģ", + "W ITH", + "Ġbackground s", + "G AN", + "ĠInter ior", + "ÑĤÑĢо в", + "m ur", + "æĸ° çĸĨ", + "qu en", + "ĠAb raham", + "å¨ģ èĥģ", + "R UN", + "奶 奶", + "Ġspr ings", + "Ġhead quarters", + "Ġdist Ãłncia", + "ĠEd inburgh", + "èģª æĺİ", + "Ġmicro phone", + "Ġle ap", + "Ġв ÑģÑı", + "W W", + "人 大", + "Ġprotect ive", + "IST S", + "并 åľ¨", + "es cal", + "çİ Ħ", + "pre p", + "Ãł mb", + "Ġslic es", + "Ġsubsc rib", + "Ġcolon ial", + "Ġpol yg", + "up iter", + "Ġclin ic", + "will ing", + "个 èĤ¡", + "ä¸į åģľ", + "Ġass urance", + "Ġupload ed", + "ĠобÑīи наÑĤа", + "Ġex pose", + "pur pose", + "Ġappet ite", + "Ġgl impse", + "çļĦ ç¡®", + "åĪĽ æĦı", + "Ñģла в", + "ur rection", + "Ġinvestig ations", + "ĠS ample", + "å¤ļ æķ°", + "äºī è®®", + "us ement", + "I AN", + "Ġd ared", + "å°Ĩ åħ¶", + "get Text", + "ĠR oot", + "çļĦ åħ³ç³»", + "è´Ł æĭħ", + "Prim ary", + "K B", + "åĩº 秣", + "U ntil", + "çļĦ æķħäºĭ", + "ĠSer ve", + "Ġmot iu", + "ĠAnd re", + "Ġsubsc ribe", + "ĠÑĦ Ñĥн", + "æĪij åĴĮ", + "Ġtour ism", + "è·¯ 线", + "Ġresum ed", + "Ġfre qü", + "Ġw age", + "sche mas", + "Ġна пÑĢа", + "па дна", + "if th", + "æĺ¯ ä¸ŃåĽ½", + "Error f", + "ol ució", + "Ġconform al", + "ĠH udson", + "ĠX III", + "Ġcheer ful", + "B er", + "Ġen f", + "åĽŃ åĮº", + "f elt", + "Ġp ains", + "Ġse ating", + "Ġout doors", + "Ġde ed", + "Ġcomp elling", + "Ġе зе", + "Ġка ÑĤе", + "il ight", + "Ġmar vel", + "ĠTechn ologies", + "æľį è£ħ", + "Ġtour ists", + "ĠR ena", + "[ /", + "uck er", + "or ange", + "Ġsurv iv", + "I SE", + "çļĦ æīĭ", + "con j", + "th ren", + "ĠUE FI", + "le ad", + "str ict", + "Î ¬", + "Ġretail ers", + "主 åĬĽ", + "éĤ£ å°±", + "res c", + "Ġe f", + "Ġe arning", + "ke ley", + "Ġsol teres", + "Ġrepe ating", + "develop ment", + "Ġexplos ion", + "Ġan teriors", + "et on", + "Cle an", + "Ġm ús", + "ere ncia", + "ĠCom pl", + "Ġ §", + "Ġconsider ar", + "ĠR ules", + "ĠBet ty", + "Ġar cs", + "Ġthe ft", + "ĠI van", + "çļĦ åĨħ容", + "Ġun clear", + "æĪĸèĢħ æĺ¯", + "icion als", + "Ġlux urious", + "em it", + "æĢ§ è´¨", + "Ġp ork", + "ĠF actory", + "çĭ ®", + "st reet", + "math ds", + "讲 è¯Ŀ", + "ĠSanti ago", + "PA SS", + "åĬ¨ æĢģ", + "Ġconver ting", + "Ġgo og", + "Ġresult ats", + "Ðľ и", + "Ġest able", + "Ġsevent h", + "Ġback s", + "Ap J", + "st ad", + "Ġren owned", + "Ġl amps", + "Ġconcent rate", + "Ġf f", + "A ggreg", + "Ġin ex", + "Ġim prison", + "Ġsl iding", + "Load ing", + "ĠM ik", + "Every thing", + "F M", + "n é", + "oss a", + "é¦ Ī", + "强 åĬ¿", + "ĠL ost", + "NO DE", + "ro e", + "Ġпо доб", + "ĠB org", + "认 è¯ģ", + "oid es", + "w omen", + "Ġd ys", + "pa id", + "æĮī æij©", + "ĠпеÑĢио д", + "ĠSt age", + "ĠEq s", + "åıĪ æľī", + "Ġtèc n", + "b ring", + "ĠR iemann", + "ĠSo on", + "az y", + "tright arrow", + "v ag", + "ĠÐľ ай", + "ĠТ ÑĥÑĢ", + "è¶ħ å¸Ĥ", + "å¯ ¨", + "is ine", + "ä¸į çĦ¶", + "Ġrib bon", + "ĠNorm an", + "z el", + "S ound", + "ix a", + "ĠF ishes", + "ub ern", + "çĬ ¬", + "ĠGl ad", + "éľ ŀ", + "ĠCont inu", + "Ġen code", + "Ġmet als", + "Ġim pose", + "ie ves", + "Ġprom oted", + "éĢ» è¾ij", + "ĠR untime", + "ĠN ar", + "Ġl uc", + "ens itive", + "ian es", + "C AL", + "uck ed", + "e i", + "cite alt", + "Ġs int", + "mut able", + "c ause", + "Ġun pleasant", + "ĠAnt i", + "ĠĠ ~", + "Ġvic inity", + "Ġph il", + "Ġtyped ef", + "Ġs ine", + "Ġur i", + "Dr ag", + "ĠоÑģÑĤа ва", + "ĠRes erve", + "же ниÑı", + "gener ator", + "å¼ ĺ", + "âķ ij", + "Ġimm ob", + "ĠHER E", + "ĉĉĉĉĉĉĉĉ ĉĉ<", + "Ġd ocker", + "кнове но", + "in is", + "est im", + "æŃ£ç¡® çļĦ", + "ĠA aron", + "os o", + "éī´ å®ļ", + "Ġ ÅĻÃŃ", + "Ġdemonstr ation", + "åľ° ä¸ĭ", + "al is", + "æº ¢", + "ÐĿ е", + "in tern", + "åħ¬ å¹³", + "ib il", + "Ġad ject", + "åı Ļ", + "ĠÎ ¼", + "ĠEs pecially", + "Ġcomp te", + "éĶ ¡", + "Ġwealth y", + "ĠCl ay", + "é ³", + "ĠS yntax", + "Ġcos mic", + "Ġrep o", + "we ather", + "_ :", + "d rivers", + "Ġhop eless", + "åľ¨ äºĨ", + "Ġinf ected", + "Ġform atted", + "çĪ± å¿ĥ", + "Ø ª", + "Ġpres erving", + "arg a", + "临 æŶ", + "Ġmathemat ics", + "ä¸į 大", + "pher d", + "åıĹ ä¼¤", + "Group Name", + "Ġdesocup ats", + "Ġsuccess ion", + "P eter", + "åĬ© åĬĽ", + "Ġexceed s", + "ĠÑĥ Ñĩе", + "Ġtant o", + "б Ñİ", + "ĠE instein", + "ĠAd ult", + "Ġdraw ings", + "ĠPO ST", + "ĠmÃłxim a", + "ç³ĸå°¿ çĹħ", + "ĠSh ah", + "superv ised", + "æĬ ĸ", + "ĠR osa", + "ert ation", + "Ġиз клÑİ", + "Ch art", + "Ġexam ining", + "Ġback end", + "äºĴ 缸", + "Ġ{ %", + "Ġgl ue", + "ĉ err", + "Ġende av", + "not in", + "Ġprod ueix", + "ĠW R", + "Ġwitness es", + "ĠB h", + "ĠR ank", + "d uring", + "åIJĦ 大", + "ĠBy te", + "Ġsched uling", + "åīį éĿ¢", + "Ġintuit ive", + "з ма", + "Ġobserv able", + "ä½į çļĦ", + "t rees", + "ĠÑģÑĬ ÑģÑĤеза", + "Ġg er", + "A SS", + "m are", + "pol it", + "Ġle aning", + "åĽŀ åºĶ", + "Ġresist ant", + "iss ance", + "b rought", + "Ġbe w", + "ĠGerm ans", + "åį³ 便", + "гле жда", + "ĠL C", + "Ġnegl igible", + "ĠSt orm", + "ĠConnect icut", + "le ast", + "Ġо ÑģÑĬ", + "restrict ed", + "Ġk ter", + "F ast", + "ĠB ass", + "ÑĪ наÑĤа", + "éļIJ æĤ£", + "ap plications", + "arm ing", + "ĠJohn ny", + "Ġneighbor ing", + "Ġди а", + "ĠMad ison", + "Ge orge", + "Ġcou plings", + "è¾¹ çļĦ", + "ĠC ache", + "\\, {\\", + "Ġди ÑĢе", + "åĩº éŨ", + "Re place", + "ett i", + "Ġkn ot", + "å¿ĥ çģµ", + "iction aries", + "审 æŁ¥", + "ĠE agle", + "Act ual", + "ĠA RE", + "Ġe re", + "i op", + "Ġhe ights", + "cess ion", + "\" }", + "ĠAl s", + "Ġidi om", + "Ġtra its", + "@ @", + "å¥ ¢", + "Ġav anç", + "ĠSw itzerland", + "num ero", + "Ġ ا", + "row ning", + "Ġinte gra", + "Ġl ust", + "Ġcle ans", + "ĠComp are", + "v oice", + "è´ º", + "带æĿ¥ äºĨ", + "ĠгÑĢÑĥ пи", + "Ġreg ulated", + "Ġobj ection", + "Ġcl erk", + "man ifest", + "ä½ł æĺ¯", + "z ig", + "Ġи Ñģ", + "arm ed", + "Ġstrugg les", + "ки н", + "ä¸Ģ æī¹", + "Write Line", + "Ġ' ''", + "ĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠĠ ĠĠĠĠĠĠĠĠĠĠĠĠ", + "Ġg loves", + "ĠH IV", + "Ac adèmia", + "è ¤", + "ä¸Ģ çľĭ", + "ĠÑģве ÑĤа", + "U nc", + "er ie", + "ĠRich mond", + "T ri", + "k an", + "un lock", + "Ġcomm enced", + "h ours", + "m ere", + "um per", + "ĠF ocus", + "ĠTai wan", + "Ġen light", + ".\" [", + "' },", + "Ġw retched", + "ing ing", + "Ġsymbol ic", + "P ages", + "Ġdissip ation", + "D one", + "â ĺ", + "ĠResta urant", + "A cknowledg", + "am ÃŃlia", + "Ġste ering", + "ĠZ one", + "å¨ ĩ", + "Ġp ci", + "Ġsatur ation", + "Ġdoub ts", + "pe ak", + "n ell", + "ä¸Ģ åĿĹ", + "Ġmaintain s", + "process or", + "çķĻ è¨Ģ", + "I ss", + "ĠC U", + "ĠÐĶими ÑĤÑĬÑĢ", + "ĠMas ters", + "r ades", + "ron es", + "æ¯ķä¸ļ çĶŁ", + "Ġdw elling", + "ĉ &\\", + "g lyphicon", + "T asks", + "ĠC AP", + "ĠHol iday", + "大 èµĽ", + "ter ms", + "ĠM IN", + "ĠSh ipping", + "am y", + "Ġpa ired", + "File Name", + "Ġv ag", + "ĠT on", + "ĠGN OME", + "Un ited", + "ĠF ILE", + "We ek", + "Ġmill ors", + "ow l", + "Ġtrans parency", + ")) {", + "Ġmem or", + "Ġdeclar ar", + "ĠG oth", + "Ġmal grat", + "ĠPu ig", + "Ġо г", + "S aturday", + "erc ise", + "Sun day", + "ĠÄ Į", + "Ġexplan ations", + "C ut", + "Ġlight ed", + "æŁ¥ çľĭ", + "Ġtomat oes", + "Ġad orn", + "Ġre build", + "ones os", + "Ġcomm ence", + "Ġh ores", + "Ġth irst", + "icht e", + "м п", + "lev ance", + "åĽ½å®¶ çļĦ", + "ĠC and", + "ult an", + "acc és", + "Ġpar sed", + "Ġd ive", + "var rho", + "Ġf eder", + "Ġres ize", + "Ġbrows ers", + "Ġа кÑĤи", + "æ¼ ł", + "B uf", + "ri ages", + "A ctions", + "S afe", + "Ġpast a", + "ĠJ obs", + "ĠlÃŃ nies", + "be autiful", + "Right arrow", + "Ġimpat ient", + "Ġpack s", + "Ðł Ðŀ", + "Ġblank et", + "N F", + "ĠT ib", + "Ġmed itation", + "Ġport ray", + "Ġblog ging", + "S ant", + "Ġm ales", + "èµ ģ", + "l ost", + "åĪĨ éħį", + "me aning", + "Ġb lowing", + "ĠIn side", + "åĶ ¤", + "Ġlisten ers", + "ç¿ Ķ", + "Ġdev otion", + "ĠHe at", + "Ġasc end", + "æĦŁ åıĹåĪ°", + "ĠMe et", + "Rec all", + "åĺ Ľ", + "/* !", + "u és", + "ĠI an", + "add Class", + "V T", + "Ġ\" [", + "ĠCast ella", + "net t", + "仿 ä½Ľ", + "Ñĥ ни", + "get Message", + "Ġmed iante", + "Ġspin ning", + "ва ни", + "s uggest", + "Ġpass ages", + "åĩº å¸Ń", + "Ġquant itative", + "Ġincl osa", + "ract ing", + "Ġcre ep", + "el o", + "ens ió", + "æīĢè°ĵ çļĦ", + "ĠV ac", + "å°ı åŃ©", + "Ġво до", + "Ġveter ans", + "ĠN ames", + "exp ensive", + "ли ÑĤ", + "èĨ ı", + "ĠS yl", + "大 éģĵ", + "Ġconsult ant", + "Ġcolor ful", + "T imes", + "ĠK az", + "ĠBut ter", + "æĦŁ åĨĴ", + "Ġa hora", + "Ġr ally", + "en al", + "Ë Ī", + "Ġmet aphor", + "++ ++", + "秣 èµģ", + "Ġsubset s", + "ĠA uth", + "ick y", + "ĠHom es", + "Ġreal ization", + "ĠSol id", + "åİŁ æĸĻ", + "ram a", + "ä¾ ł", + "转 让", + "ĠsÃŃm bol", + "per mission", + "к ÑĢо", + "v ell", + "çľĭ æ³ķ", + "ĠMe chan", + "èĥ½ åIJ¦", + "ĠCan al", + "cció n", + "Ġfarm ing", + "Ġmalalt ia", + "æ» ŀ", + "EN ABLE", + "Ġconce aled", + "Ġv inc", + "де й", + "T ok", + "æģĭ çĪ±", + "Ġcogn itive", + "b ars", + "ĠS TE", + "ur dy", + "c ab", + "Ġbelie ving", + "Ġp ads", + "ak y", + "Ġdepart ed", + "Pal marès", + "nÃŃ k", + "ĠCan on", + "ĠProb ably", + "好 çľĭ", + "Ġen z", + "ric ane", + "label s", + "Ġtechn ological", + "å¦Ĥæŀľ æĺ¯", + "Ġcomb ust", + "Ġtrem bling", + "èĤ¿ çĺ¤", + "Ġobj et", + "ĠK rist", + "ee k", + "ç¾ ¡", + "Ġchop ped", + "Ġ\" )", + "Ġexplo it", + "_ --", + "query Selector", + "Ġintent ions", + "Mus ic", + "W ant", + "å½ĵ åĪĿ", + "Ġwish ing", + "延 ç»Ń", + "è¾Ľ èĭ¦", + "çŁ³ æ²¹", + "èĴĻ åı¤", + "St ation", + "g as", + "Ġpa res", + "åĭ ĥ", + "Ġpool s", + "Ġp èr", + "ä¸į åıĬ", + "ĠH orn", + "Ġvol atile", + "ĠбÑĬ даÑĤ", + "ĠGr iff", + "U r", + "in ada", + "Ġshel ves", + "ä¸Ģ åı¥", + "ens a", + "Ġeth ical", + "ham mad", + "ĠÑģ пи", + "Ġw i", + "Ġpas ar", + "Ġether net", + "Ġan not", + "Ġru ins", + "ĠB irm", + "S ector", + "ing ressos", + "ateg oria", + "å°ij æķ°", + "åĬł 缣", + "Ġre ial", + "Ġline a", + "custom er", + "Ġmas cles", + "Ġcorpor ations", + "Ġmembr ane", + "Ġcr ashes", + "Ġm ica", + "Ġor acle", + "Ġind ica", + "é«ĺ äºİ", + "ST EM", + "re gex", + "mon itor", + "头 çļĦ", + "Ġdocument ary", + "Ġextens ively", + "pr ising", + "E lect", + "ard i", + "run ner", + "Ġgra ins", + "Ġпе Ñģен", + "ĠR GB", + "Ġsc ent", + "Ġgerm ans", + "ç«ĭ åľº", + "Q UI", + "ack er", + "Ġten ant", + "åĬ© äºİ", + "Ġcan vis", + "Ġab brevi", + "trans late", + "Ġj ut", + "ĠDe bug", + "Ġtemper atura", + "æ£Ģ éªĮ", + "ĠLa unch", + "Ġinter change", + "ĠGu ys", + "ĠS oul", + "sub scribe", + "ple ase", + "ĠPar ad", + "che m", + "isc op", + "Ġclick ed", + "ol lo", + "å®ļ åĪ¶", + "ĠÐĿа ÑĨиона", + "cc entric", + "Ġsup reme", + "Ġbur nt", + "ag ona", + "ĠW ere", + "Ġl ime", + "ĠZ el", + "ĠCatal ina", + "ĠFerm i", + "Ġs é", + "Ġform ant", + "б иÑı", + "Ġ ž", + "Ġh ago", + "Ñĩе на", + "çĽij æݧ", + "Ġvol ta", + "oc ur", + "act ed", + "Ġd angers", + "è¿Ļ个 æŶåĢĻ", + "Ġperturb ations", + "g ency", + "ĠDiv isió", + "ĠK id", + "Ñĩ Ñĥ", + "Ġter rest", + "Ass ume", + "PRO P", + "ĠG ospel", + "Ġsl im", + "object iu", + "æĺ¾ èijĹ", + "ĠOver all", + "Ġbe an", + "Ġthreat ening", + "解 éĻ¤", + "ĠDet erm", + "ĠFurn iture", + "Ġcyl ind", + "Ġang els", + "n obr", + "com ments", + "çļĦ è¿ĩç¨ĭä¸Ń", + "Ãł ncies", + "æ³ Ĭ", + "Ġamb itious", + "åİļ çļĦ", + "ĠLe o", + "as g", + "ĠL arry", + "path s", + "Equ ip", + "× ķ", + "Ġquestion ed", + "Ġslight est", + "S us", + "ĠOb viously", + "ĠFl at", + "ĠЮ жна", + "Ġor bits", + "ĠCi utat", + "Ġcr ushed", + "éĻ¢ æł¡", + "Ġhar ness", + "Ġel oqu", + "Fr ames", + "ĠCh at", + "pred ict", + "ĠL anc", + "Ġstake holders", + "Ġpresident ial", + "å½ °", + "åĮĸ å¦Ĩ", + "Ġpursu ing", + "ĠÐĿ Ñİ", + "Ġf oster", + "说 è¿ĩ", + "Ġ> Ġ>", + "Ġrecall ed", + "Ġph osph", + "Ġdecor ation", + "ib l", + "éħ ¬", + "vers ely", + "pre ced", + "Ġchampions hip", + "S at", + "cho ice", + "Im ages", + "hell o", + "pat hetic", + "icon ductor", + "ĠT ips", + "iz ens", + "last ing", + "S F", + "u u", + "æĦı 大åĪ©", + "Ġcomp ounds", + "Ġrespond ing", + "Ġag ing", + "d z", + "ĠSen ator", + "b ly", + "Ġпо Ñģо", + "Ġguess ing", + "l uc", + "ĠSup erior", + "ĠL isa", + "Ġquick er", + "Ġad op", + "ÃŃ ns", + "ren s", + "ĠF ET", + "Ġl lic", + "Ġl ace", + "ĠP ATH", + "åĬ¨ çļĦ", + "m r", + "ĠW ang", + "åĴĮ å¹³", + "ка з", + "ĠlÃŃ nea", + "Ġdismiss ed", + "æľ¬ ç§ij", + "Ġtail ored", + "à Ł", + "æĪ¿ 产", + "Ġto ll", + "d ar", + "è½ °", + "dat aset", + "Ġfl ames", + "ĠI lles", + "å®ļ æľŁ", + "Ġthought ful", + "Ġexhib ited", + "Ġind ústria", + "ĠD ual", + "Ġpred icate", + "ĠMat rix", + "F ou", + "F ALSE", + "Ġem it", + "ok ia", + "ĠMar ina", + "С о", + "виÑģи мо", + "Ġsc orn", + "sm art", + "ĠP apa", + "Ġfre ed", + "BP ACK", + "Ġper c", + "Prior ity", + "ail and", + "Th ink", + "Ġearth qu", + "åĢŁ 款", + "iv ari", + "Will iam", + "is ch", + "Ġна Ñĩин", + "Ġded uce", + "Ġrest ed", + "m und", + "ess el", + "æ°Ķ 温", + "ĠR aw", + "Ġnegot iations", + "ĠÑĤ вÑĬÑĢ", + "d ens", + "ĠO VER", + "ĠHigh way", + "éķ¿ å®ī", + "Ġmon estir", + "ĠWay ne", + "Ġun pack", + "Ġhab itants", + "ul os", + "glés ies", + "Ġvan ishes", + "ĠE PS", + "Ġmerg ed", + "h pp", + "Ġreal ised", + "éŁ ¦", + "prim ir", + "ĠDub lin", + "Ġgener ar", + "Ġhat red", + "ĠNig eria", + "ĠPitt s", + "Ġpre y", + "ĠÑģко ÑĢо", + "ai res", + "Ġsynt hesis", + "к ви", + "ĠG RE", + "wh om", + "Ġunit ary", + "Ġs ank", + "Ex it", + "leq slant", + "pub lished", + "default s", + "å¾ħ éģĩ", + "t emperature", + "ĠExt ension", + "æľ¬ è´¨", + "co at", + "çīĽ 奶", + "Ġcapt ures", + "ç¦ı 建", + "H I", + "Ġcorpor ation", + "Ġmunt anyes", + "Ġpur ge", + "èĮĥåĽ´ åĨħ", + "Ġmari juana", + "pow ered", + "Ġbl az", + "ID S", + "Ġv ener", + "da ughter", + "inst ead", + "Ġesp ai", + "ĠCap it", + "L icense", + "Ġn ails", + "ĠE dd", + "Ġlow ered", + "ri que", + "\\, ,", + "ĠGr up", + "$ =", + "Ġo v", + "Ġpro secut", + "ĠRead er", + "Ġher bs", + "ject ed", + "Com pet", + "åıĤ è§Ĥ", + "Ġp ocs", + "ĠL an", + "å¤ļ ä¹Ī", + "rom ium", + "åIJ ĵ", + "ĠD ash", + "Ġindu ces", + "ĠT B", + "Depend ency", + "Ar agó", + "Ġjav ascript", + "Ġcare ers", + "ure n", + "i ative", + "Ġinst ability", + "ĠPal au", + "ĠW atson", + "Ġpri zes", + "Ġex agger", + "Ġvig il", + "ĠC I", + "ass y", + "Ġinf ect", + "éĹ´ çļĦ", + "Ġsign atures", + "Ġs ie", + "Doc uments", + "et ry", + "Ġform ada", + "Ġintel lect", + "qu ina", + "Ġwork force", + "Ġphys icians", + "EN S", + "ĠÑĤ Ñĥ", + "ĠIn form", + "Ob server", + "æł¡ éķ¿", + "Ġfle e", + "D irection", + "f ood", + "at um", + "é d", + "Ġline arly", + "Ġb ored", + "ĠD ress", + "æĽ´ é«ĺ", + "æ® ¿", + "è´µ çļĦ", + "Ġ( /", + "ÑģÑĤо и", + "ĠÐľ ан", + "ight ing", + "Ġch mod", + "ĠпÑĢодÑĬл жава", + "id able", + "ĠF itz", + "check ing", + "Ġме ди", + "Ġris en", + "i ats", + "åĽ½ æ°ij", + "lay ers", + "on so", + "ĠA CT", + "ull en", + "Ġamaz ed", + "product o", + "Bre ak", + "Ġexquis ite", + "Ġo st", + "ond re", + "e ast", + "Ġjuris diction", + "æ·± åĮĸ", + "Ġarchitect ural", + "æĺ¯ ä¸ºäºĨ", + "Ġz a", + "second s", + "ĠOpen Layers", + "è´¦ æĪ·", + "è© ¹", + "O H", + "LO B", + "Ġun changed", + "Ġcomm emor", + "Ġdist urbed", + "Ġhead phones", + "åıijçĶŁ äºĨ", + "H ad", + "ĠU SE", + "inv oke", + "Ġcompet ent", + "ä¿ ±ä¹IJ", + "W IN", + "åº ŀ", + "Ġex curs", + "so on", + "| ĠĠ", + "ä¼ IJ", + "Ġt ed", + "Ġbow ed", + "Ġfold ed", + "ĠE ar", + "As sembly", + "Ġb ishop", + "ĠGu inea", + "ĠS ort", + "Ġen umer", + "Ġdes pl", + "å°± å¼Ģå§ĭ", + "à °", + "Ġur ge", + "Ġconserv a", + "ĠCO UNT", + "c ot", + "p ure", + "ĠÑĦил ми", + "for get", + "ĠCanad Ãł", + "çļĦ ä½įç½®", + "Ġatt orneys", + "ĠCatal ana", + "Ġut f", + "~~ ~", + "æĢ» è£ģ", + "éľĩ èį¡", + "ĠA str", + "Ġknowledge able", + "è¸ ©", + "do ing", + "ĠC inc", + "Eng land", + "æĻ ´", + "Ġr ides", + "æľĪ çļĦ", + "ĠJust in", + "ĠArch itecture", + "ĠIsrael i", + "Ġd it", + "ÑģÑĤ виÑı", + "als a", + "Ġcertain ty", + "ĠSh an" + ] + } +} \ No newline at end of file diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..044a3cf --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,194 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "added_tokens_decoder": { + "32000": { + "content": "õ", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32001": { + "content": "÷", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32002": { + "content": "Á", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32003": { + "content": "ý", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32004": { + "content": "À", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32005": { + "content": "ÿ", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32006": { + "content": "ø", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32007": { + "content": "ú", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32008": { + "content": "þ", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32009": { + "content": "ü", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32010": { + "content": "ù", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32011": { + "content": "ö", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32012": { + "content": "û", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32013": { + "content": "<｜begin▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "32014": { + "content": "<｜end▁of▁sentence｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + }, + "32015": { + "content": "<｜fim▁hole｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32016": { + "content": "<｜fim▁begin｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32017": { + "content": "<｜fim▁end｜>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32018": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32019": { + "content": "<|User|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32020": { + "content": "<|Assistant|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "32021": { + "content": "<|EOT|>", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "<｜begin▁of▁sentence｜>", + "chat_template": "{% if not add_generation_prompt is defined %}\n{% set add_generation_prompt = false %}\n{% endif %}\n{%- set ns = namespace(found=false) -%}\n{%- for message in messages -%}\n {%- if message['role'] == 'system' -%}\n {%- set ns.found = true -%}\n {%- endif -%}\n{%- endfor -%}\n{{bos_token}}{%- if not ns.found -%}\n{{'You are an AI programming assistant, utilizing the Deepseek Coder model, developed by Deepseek Company, and you only answer questions related to computer science. For politically sensitive questions, security and privacy issues, and other non-computer science questions, you will refuse to answer\\n'}}\n{%- endif %}\n{%- for message in messages %}\n {%- if message['role'] == 'system' %}\n{{ message['content'] }}\n {%- else %}\n {%- if message['role'] == 'user' %}\n{{'### Instruction:\\n' + message['content'] + '\\n'}}\n {%- else %}\n{{'### Response:\\n' + message['content'] + '\\n<|EOT|>\\n'}}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{% if add_generation_prompt %}\n{{'### Response:'}}\n{% endif %}", + "clean_up_tokenization_spaces": false, + "eos_token": "<|EOT|>", + "legacy": true, + "model_max_length": 4096, + "pad_token": "<｜end▁of▁sentence｜>", + "padding_side": "right", + "sp_model_kwargs": {}, + "tokenizer_class": "LlamaTokenizer", + "unk_token": null, + "use_default_system_prompt": false +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..7109d1e --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,162633 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.999916982594017, + "eval_steps": 500, + "global_step": 27102, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0, + "loss": 0.784, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 1.983442356626732e-06, + "loss": 0.6636, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.1436817575953687e-06, + "loss": 0.7468, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 3.966884713253464e-06, + "loss": 0.7459, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 4.605410532441208e-06, + "loss": 0.743, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 5.127124114222101e-06, + "loss": 0.7139, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 5.56822666249359e-06, + "loss": 0.6869, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 5.950327069880195e-06, + "loss": 0.6782, + "step": 8 + }, + { + "epoch": 0.0, + "learning_rate": 6.2873635151907375e-06, + "loss": 0.6409, + "step": 9 + }, + { + "epoch": 0.0, + "learning_rate": 6.588852889067941e-06, + "loss": 0.6641, + "step": 10 + }, + { + "epoch": 0.0, + "learning_rate": 6.861583202258991e-06, + "loss": 0.7802, + "step": 11 + }, + { + "epoch": 0.0, + "learning_rate": 7.110566470848832e-06, + "loss": 0.683, + "step": 12 + }, + { + "epoch": 0.0, + "learning_rate": 7.339608875104928e-06, + "loss": 0.6331, + "step": 13 + }, + { + "epoch": 0.0, + "learning_rate": 7.5516690191203215e-06, + "loss": 0.6217, + "step": 14 + }, + { + "epoch": 0.0, + "learning_rate": 7.749092290036576e-06, + "loss": 0.6461, + "step": 15 + }, + { + "epoch": 0.0, + "learning_rate": 7.933769426506927e-06, + "loss": 0.7243, + "step": 16 + }, + { + "epoch": 0.0, + "learning_rate": 8.107246930473772e-06, + "loss": 0.6981, + "step": 17 + }, + { + "epoch": 0.0, + "learning_rate": 8.270805871817468e-06, + "loss": 0.5902, + "step": 18 + }, + { + "epoch": 0.0, + "learning_rate": 8.425519358044079e-06, + "loss": 0.7033, + "step": 19 + }, + { + "epoch": 0.0, + "learning_rate": 8.572295245694672e-06, + "loss": 0.7095, + "step": 20 + }, + { + "epoch": 0.0, + "learning_rate": 8.711908420088959e-06, + "loss": 0.6647, + "step": 21 + }, + { + "epoch": 0.0, + "learning_rate": 8.845025558885724e-06, + "loss": 0.7002, + "step": 22 + }, + { + "epoch": 0.0, + "learning_rate": 8.972224386468751e-06, + "loss": 0.7087, + "step": 23 + }, + { + "epoch": 0.0, + "learning_rate": 9.094008827475565e-06, + "loss": 0.6984, + "step": 24 + }, + { + "epoch": 0.0, + "learning_rate": 9.210821064882416e-06, + "loss": 0.6425, + "step": 25 + }, + { + "epoch": 0.0, + "learning_rate": 9.32305123173166e-06, + "loss": 0.6861, + "step": 26 + }, + { + "epoch": 0.0, + "learning_rate": 9.431045272786105e-06, + "loss": 0.6381, + "step": 27 + }, + { + "epoch": 0.0, + "learning_rate": 9.535111375747054e-06, + "loss": 0.5791, + "step": 28 + }, + { + "epoch": 0.0, + "learning_rate": 9.635525273423709e-06, + "loss": 0.6384, + "step": 29 + }, + { + "epoch": 0.0, + "learning_rate": 9.732534646663309e-06, + "loss": 0.6227, + "step": 30 + }, + { + "epoch": 0.0, + "learning_rate": 9.826362805065205e-06, + "loss": 0.6784, + "step": 31 + }, + { + "epoch": 0.0, + "learning_rate": 9.91721178313366e-06, + "loss": 0.6195, + "step": 32 + }, + { + "epoch": 0.0, + "learning_rate": 1.000526495985436e-05, + "loss": 0.5583, + "step": 33 + }, + { + "epoch": 0.0, + "learning_rate": 1.0090689287100504e-05, + "loss": 0.6042, + "step": 34 + }, + { + "epoch": 0.0, + "learning_rate": 1.0173637194934799e-05, + "loss": 0.63, + "step": 35 + }, + { + "epoch": 0.0, + "learning_rate": 1.0254248228444202e-05, + "loss": 0.5309, + "step": 36 + }, + { + "epoch": 0.0, + "learning_rate": 1.0332650460260145e-05, + "loss": 0.6322, + "step": 37 + }, + { + "epoch": 0.0, + "learning_rate": 1.0408961714670812e-05, + "loss": 0.6319, + "step": 38 + }, + { + "epoch": 0.0, + "learning_rate": 1.0483290632700295e-05, + "loss": 0.5764, + "step": 39 + }, + { + "epoch": 0.0, + "learning_rate": 1.0555737602321403e-05, + "loss": 0.6584, + "step": 40 + }, + { + "epoch": 0.0, + "learning_rate": 1.0626395573789964e-05, + "loss": 0.6389, + "step": 41 + }, + { + "epoch": 0.0, + "learning_rate": 1.069535077671569e-05, + "loss": 0.6159, + "step": 42 + }, + { + "epoch": 0.0, + "learning_rate": 1.0762683352746906e-05, + "loss": 0.545, + "step": 43 + }, + { + "epoch": 0.0, + "learning_rate": 1.0828467915512455e-05, + "loss": 0.5923, + "step": 44 + }, + { + "epoch": 0.0, + "learning_rate": 1.0892774047631945e-05, + "loss": 0.6459, + "step": 45 + }, + { + "epoch": 0.01, + "learning_rate": 1.0955666743095484e-05, + "loss": 0.6524, + "step": 46 + }, + { + "epoch": 0.01, + "learning_rate": 1.1017206802064066e-05, + "loss": 0.5706, + "step": 47 + }, + { + "epoch": 0.01, + "learning_rate": 1.1077451184102297e-05, + "loss": 0.5485, + "step": 48 + }, + { + "epoch": 0.01, + "learning_rate": 1.113645332498718e-05, + "loss": 0.6389, + "step": 49 + }, + { + "epoch": 0.01, + "learning_rate": 1.1194263421509149e-05, + "loss": 0.63, + "step": 50 + }, + { + "epoch": 0.01, + "learning_rate": 1.1250928688069138e-05, + "loss": 0.6144, + "step": 51 + }, + { + "epoch": 0.01, + "learning_rate": 1.130649358835839e-05, + "loss": 0.6662, + "step": 52 + }, + { + "epoch": 0.01, + "learning_rate": 1.1361000044969294e-05, + "loss": 0.6081, + "step": 53 + }, + { + "epoch": 0.01, + "learning_rate": 1.1414487629412838e-05, + "loss": 0.6315, + "step": 54 + }, + { + "epoch": 0.01, + "learning_rate": 1.14669937347002e-05, + "loss": 0.5278, + "step": 55 + }, + { + "epoch": 0.01, + "learning_rate": 1.1518553732373787e-05, + "loss": 0.6482, + "step": 56 + }, + { + "epoch": 0.01, + "learning_rate": 1.1569201115639447e-05, + "loss": 0.5732, + "step": 57 + }, + { + "epoch": 0.01, + "learning_rate": 1.161896763005044e-05, + "loss": 0.6371, + "step": 58 + }, + { + "epoch": 0.01, + "learning_rate": 1.1667883393020117e-05, + "loss": 0.6427, + "step": 59 + }, + { + "epoch": 0.01, + "learning_rate": 1.171597700329004e-05, + "loss": 0.5727, + "step": 60 + }, + { + "epoch": 0.01, + "learning_rate": 1.1763275641349881e-05, + "loss": 0.5628, + "step": 61 + }, + { + "epoch": 0.01, + "learning_rate": 1.1809805161691936e-05, + "loss": 0.5868, + "step": 62 + }, + { + "epoch": 0.01, + "learning_rate": 1.1855590177684327e-05, + "loss": 0.6013, + "step": 63 + }, + { + "epoch": 0.01, + "learning_rate": 1.190065413976039e-05, + "loss": 0.7149, + "step": 64 + }, + { + "epoch": 0.01, + "learning_rate": 1.1945019407546135e-05, + "loss": 0.6367, + "step": 65 + }, + { + "epoch": 0.01, + "learning_rate": 1.198870731648109e-05, + "loss": 0.5316, + "step": 66 + }, + { + "epoch": 0.01, + "learning_rate": 1.2031738239429508e-05, + "loss": 0.5421, + "step": 67 + }, + { + "epoch": 0.01, + "learning_rate": 1.2074131643727235e-05, + "loss": 0.7351, + "step": 68 + }, + { + "epoch": 0.01, + "learning_rate": 1.211590614406412e-05, + "loss": 0.6943, + "step": 69 + }, + { + "epoch": 0.01, + "learning_rate": 1.215707955156153e-05, + "loss": 0.7064, + "step": 70 + }, + { + "epoch": 0.01, + "learning_rate": 1.2197668919368823e-05, + "loss": 0.6158, + "step": 71 + }, + { + "epoch": 0.01, + "learning_rate": 1.2237690585070935e-05, + "loss": 0.5444, + "step": 72 + }, + { + "epoch": 0.01, + "learning_rate": 1.2277160210171003e-05, + "loss": 0.6151, + "step": 73 + }, + { + "epoch": 0.01, + "learning_rate": 1.2316092816886877e-05, + "loss": 0.6336, + "step": 74 + }, + { + "epoch": 0.01, + "learning_rate": 1.2354502822477783e-05, + "loss": 0.623, + "step": 75 + }, + { + "epoch": 0.01, + "learning_rate": 1.2392404071297544e-05, + "loss": 0.5427, + "step": 76 + }, + { + "epoch": 0.01, + "learning_rate": 1.2429809864752582e-05, + "loss": 0.6045, + "step": 77 + }, + { + "epoch": 0.01, + "learning_rate": 1.2466732989327028e-05, + "loss": 0.6523, + "step": 78 + }, + { + "epoch": 0.01, + "learning_rate": 1.2503185742822617e-05, + "loss": 0.5594, + "step": 79 + }, + { + "epoch": 0.01, + "learning_rate": 1.2539179958948135e-05, + "loss": 0.6101, + "step": 80 + }, + { + "epoch": 0.01, + "learning_rate": 1.2574727030381475e-05, + "loss": 0.6078, + "step": 81 + }, + { + "epoch": 0.01, + "learning_rate": 1.2609837930416697e-05, + "loss": 0.566, + "step": 82 + }, + { + "epoch": 0.01, + "learning_rate": 1.2644523233299086e-05, + "loss": 0.6689, + "step": 83 + }, + { + "epoch": 0.01, + "learning_rate": 1.2678793133342422e-05, + "loss": 0.5837, + "step": 84 + }, + { + "epoch": 0.01, + "learning_rate": 1.271265746291498e-05, + "loss": 0.6684, + "step": 85 + }, + { + "epoch": 0.01, + "learning_rate": 1.2746125709373635e-05, + "loss": 0.7164, + "step": 86 + }, + { + "epoch": 0.01, + "learning_rate": 1.2779207031019077e-05, + "loss": 0.6409, + "step": 87 + }, + { + "epoch": 0.01, + "learning_rate": 1.2811910272139188e-05, + "loss": 0.5622, + "step": 88 + }, + { + "epoch": 0.01, + "learning_rate": 1.2844243977202505e-05, + "loss": 0.5042, + "step": 89 + }, + { + "epoch": 0.01, + "learning_rate": 1.2876216404258677e-05, + "loss": 0.5444, + "step": 90 + }, + { + "epoch": 0.01, + "learning_rate": 1.2907835537598516e-05, + "loss": 0.5414, + "step": 91 + }, + { + "epoch": 0.01, + "learning_rate": 1.2939109099722216e-05, + "loss": 0.602, + "step": 92 + }, + { + "epoch": 0.01, + "learning_rate": 1.2970044562660573e-05, + "loss": 0.5176, + "step": 93 + }, + { + "epoch": 0.01, + "learning_rate": 1.3000649158690797e-05, + "loss": 0.6352, + "step": 94 + }, + { + "epoch": 0.01, + "learning_rate": 1.3030929890485287e-05, + "loss": 0.5487, + "step": 95 + }, + { + "epoch": 0.01, + "learning_rate": 1.3060893540729026e-05, + "loss": 0.5919, + "step": 96 + }, + { + "epoch": 0.01, + "learning_rate": 1.3090546681238669e-05, + "loss": 0.5281, + "step": 97 + }, + { + "epoch": 0.01, + "learning_rate": 1.3119895681613912e-05, + "loss": 0.6194, + "step": 98 + }, + { + "epoch": 0.01, + "learning_rate": 1.3148946717449727e-05, + "loss": 0.6205, + "step": 99 + }, + { + "epoch": 0.01, + "learning_rate": 1.3177705778135882e-05, + "loss": 0.608, + "step": 100 + }, + { + "epoch": 0.01, + "learning_rate": 1.3206178674268388e-05, + "loss": 0.5577, + "step": 101 + }, + { + "epoch": 0.01, + "learning_rate": 1.3234371044695871e-05, + "loss": 0.5386, + "step": 102 + }, + { + "epoch": 0.01, + "learning_rate": 1.3262288363222169e-05, + "loss": 0.5563, + "step": 103 + }, + { + "epoch": 0.01, + "learning_rate": 1.3289935944985123e-05, + "loss": 0.494, + "step": 104 + }, + { + "epoch": 0.01, + "learning_rate": 1.3317318952530165e-05, + "loss": 0.6138, + "step": 105 + }, + { + "epoch": 0.01, + "learning_rate": 1.3344442401596025e-05, + "loss": 0.6086, + "step": 106 + }, + { + "epoch": 0.01, + "learning_rate": 1.3371311166628803e-05, + "loss": 0.6742, + "step": 107 + }, + { + "epoch": 0.01, + "learning_rate": 1.339792998603957e-05, + "loss": 0.4606, + "step": 108 + }, + { + "epoch": 0.01, + "learning_rate": 1.3424303467219653e-05, + "loss": 0.6195, + "step": 109 + }, + { + "epoch": 0.01, + "learning_rate": 1.3450436091326932e-05, + "loss": 0.5658, + "step": 110 + }, + { + "epoch": 0.01, + "learning_rate": 1.3476332217855513e-05, + "loss": 0.4796, + "step": 111 + }, + { + "epoch": 0.01, + "learning_rate": 1.3501996089000518e-05, + "loss": 0.5937, + "step": 112 + }, + { + "epoch": 0.01, + "learning_rate": 1.3527431833828842e-05, + "loss": 0.6658, + "step": 113 + }, + { + "epoch": 0.01, + "learning_rate": 1.355264347226618e-05, + "loss": 0.6738, + "step": 114 + }, + { + "epoch": 0.01, + "learning_rate": 1.3577634918909959e-05, + "loss": 0.5258, + "step": 115 + }, + { + "epoch": 0.01, + "learning_rate": 1.3602409986677172e-05, + "loss": 0.6462, + "step": 116 + }, + { + "epoch": 0.01, + "learning_rate": 1.3626972390295665e-05, + "loss": 0.6063, + "step": 117 + }, + { + "epoch": 0.01, + "learning_rate": 1.365132574964685e-05, + "loss": 0.4883, + "step": 118 + }, + { + "epoch": 0.01, + "learning_rate": 1.367547359296736e-05, + "loss": 0.5334, + "step": 119 + }, + { + "epoch": 0.01, + "learning_rate": 1.3699419359916773e-05, + "loss": 0.5112, + "step": 120 + }, + { + "epoch": 0.01, + "learning_rate": 1.3723166404517982e-05, + "loss": 0.5836, + "step": 121 + }, + { + "epoch": 0.01, + "learning_rate": 1.3746717997976614e-05, + "loss": 0.5628, + "step": 122 + }, + { + "epoch": 0.01, + "learning_rate": 1.3770077331385333e-05, + "loss": 0.4847, + "step": 123 + }, + { + "epoch": 0.01, + "learning_rate": 1.3793247518318668e-05, + "loss": 0.7062, + "step": 124 + }, + { + "epoch": 0.01, + "learning_rate": 1.3816231597323626e-05, + "loss": 0.5401, + "step": 125 + }, + { + "epoch": 0.01, + "learning_rate": 1.3839032534311058e-05, + "loss": 0.5888, + "step": 126 + }, + { + "epoch": 0.01, + "learning_rate": 1.3861653224852539e-05, + "loss": 0.5104, + "step": 127 + }, + { + "epoch": 0.01, + "learning_rate": 1.3884096496387123e-05, + "loss": 0.5466, + "step": 128 + }, + { + "epoch": 0.01, + "learning_rate": 1.3906365110342273e-05, + "loss": 0.5499, + "step": 129 + }, + { + "epoch": 0.01, + "learning_rate": 1.3928461764172866e-05, + "loss": 0.5437, + "step": 130 + }, + { + "epoch": 0.01, + "learning_rate": 1.3950389093322103e-05, + "loss": 0.5199, + "step": 131 + }, + { + "epoch": 0.01, + "learning_rate": 1.3972149673107822e-05, + "loss": 0.5857, + "step": 132 + }, + { + "epoch": 0.01, + "learning_rate": 1.3993746020537668e-05, + "loss": 0.6587, + "step": 133 + }, + { + "epoch": 0.01, + "learning_rate": 1.401518059605624e-05, + "loss": 0.5989, + "step": 134 + }, + { + "epoch": 0.01, + "learning_rate": 1.4036455805227313e-05, + "loss": 0.6192, + "step": 135 + }, + { + "epoch": 0.02, + "learning_rate": 1.4057574000353968e-05, + "loss": 0.6281, + "step": 136 + }, + { + "epoch": 0.02, + "learning_rate": 1.4078537482039378e-05, + "loss": 0.6301, + "step": 137 + }, + { + "epoch": 0.02, + "learning_rate": 1.4099348500690852e-05, + "loss": 0.6773, + "step": 138 + }, + { + "epoch": 0.02, + "learning_rate": 1.4120009257969549e-05, + "loss": 0.4978, + "step": 139 + }, + { + "epoch": 0.02, + "learning_rate": 1.414052190818826e-05, + "loss": 0.4817, + "step": 140 + }, + { + "epoch": 0.02, + "learning_rate": 1.4160888559659436e-05, + "loss": 0.5784, + "step": 141 + }, + { + "epoch": 0.02, + "learning_rate": 1.4181111275995556e-05, + "loss": 0.5447, + "step": 142 + }, + { + "epoch": 0.02, + "learning_rate": 1.4201192077363917e-05, + "loss": 0.5992, + "step": 143 + }, + { + "epoch": 0.02, + "learning_rate": 1.4221132941697664e-05, + "loss": 0.5359, + "step": 144 + }, + { + "epoch": 0.02, + "learning_rate": 1.4240935805864915e-05, + "loss": 0.6344, + "step": 145 + }, + { + "epoch": 0.02, + "learning_rate": 1.4260602566797734e-05, + "loss": 0.5923, + "step": 146 + }, + { + "epoch": 0.02, + "learning_rate": 1.4280135082582548e-05, + "loss": 0.6393, + "step": 147 + }, + { + "epoch": 0.02, + "learning_rate": 1.4299535173513608e-05, + "loss": 0.4998, + "step": 148 + }, + { + "epoch": 0.02, + "learning_rate": 1.4318804623110989e-05, + "loss": 0.512, + "step": 149 + }, + { + "epoch": 0.02, + "learning_rate": 1.4337945179104515e-05, + "loss": 0.6554, + "step": 150 + }, + { + "epoch": 0.02, + "learning_rate": 1.4356958554385041e-05, + "loss": 0.5413, + "step": 151 + }, + { + "epoch": 0.02, + "learning_rate": 1.4375846427924275e-05, + "loss": 0.5462, + "step": 152 + }, + { + "epoch": 0.02, + "learning_rate": 1.4394610445664508e-05, + "loss": 0.5275, + "step": 153 + }, + { + "epoch": 0.02, + "learning_rate": 1.4413252221379315e-05, + "loss": 0.5417, + "step": 154 + }, + { + "epoch": 0.02, + "learning_rate": 1.4431773337506415e-05, + "loss": 0.6348, + "step": 155 + }, + { + "epoch": 0.02, + "learning_rate": 1.445017534595376e-05, + "loss": 0.5992, + "step": 156 + }, + { + "epoch": 0.02, + "learning_rate": 1.4468459768879863e-05, + "loss": 0.6103, + "step": 157 + }, + { + "epoch": 0.02, + "learning_rate": 1.4486628099449348e-05, + "loss": 0.593, + "step": 158 + }, + { + "epoch": 0.02, + "learning_rate": 1.4504681802564661e-05, + "loss": 0.5306, + "step": 159 + }, + { + "epoch": 0.02, + "learning_rate": 1.4522622315574868e-05, + "loss": 0.5386, + "step": 160 + }, + { + "epoch": 0.02, + "learning_rate": 1.4540451048962341e-05, + "loss": 0.6396, + "step": 161 + }, + { + "epoch": 0.02, + "learning_rate": 1.4558169387008206e-05, + "loss": 0.5992, + "step": 162 + }, + { + "epoch": 0.02, + "learning_rate": 1.4575778688437304e-05, + "loss": 0.5205, + "step": 163 + }, + { + "epoch": 0.02, + "learning_rate": 1.459328028704343e-05, + "loss": 0.6421, + "step": 164 + }, + { + "epoch": 0.02, + "learning_rate": 1.4610675492295568e-05, + "loss": 0.5151, + "step": 165 + }, + { + "epoch": 0.02, + "learning_rate": 1.4627965589925819e-05, + "loss": 0.5607, + "step": 166 + }, + { + "epoch": 0.02, + "learning_rate": 1.4645151842499652e-05, + "loss": 0.5046, + "step": 167 + }, + { + "epoch": 0.02, + "learning_rate": 1.4662235489969155e-05, + "loss": 0.5626, + "step": 168 + }, + { + "epoch": 0.02, + "learning_rate": 1.4679217750209856e-05, + "loss": 0.5331, + "step": 169 + }, + { + "epoch": 0.02, + "learning_rate": 1.469609981954171e-05, + "loss": 0.5587, + "step": 170 + }, + { + "epoch": 0.02, + "learning_rate": 1.4712882873234817e-05, + "loss": 0.4863, + "step": 171 + }, + { + "epoch": 0.02, + "learning_rate": 1.4729568066000368e-05, + "loss": 0.4795, + "step": 172 + }, + { + "epoch": 0.02, + "learning_rate": 1.474615653246741e-05, + "loss": 0.6352, + "step": 173 + }, + { + "epoch": 0.02, + "learning_rate": 1.4762649387645808e-05, + "loss": 0.5703, + "step": 174 + }, + { + "epoch": 0.02, + "learning_rate": 1.4779047727376008e-05, + "loss": 0.4515, + "step": 175 + }, + { + "epoch": 0.02, + "learning_rate": 1.4795352628765917e-05, + "loss": 0.5176, + "step": 176 + }, + { + "epoch": 0.02, + "learning_rate": 1.4811565150615484e-05, + "loss": 0.5456, + "step": 177 + }, + { + "epoch": 0.02, + "learning_rate": 1.4827686333829236e-05, + "loss": 0.454, + "step": 178 + }, + { + "epoch": 0.02, + "learning_rate": 1.4843717201817334e-05, + "loss": 0.5768, + "step": 179 + }, + { + "epoch": 0.02, + "learning_rate": 1.485965876088541e-05, + "loss": 0.5535, + "step": 180 + }, + { + "epoch": 0.02, + "learning_rate": 1.4875512000613617e-05, + "loss": 0.5848, + "step": 181 + }, + { + "epoch": 0.02, + "learning_rate": 1.4891277894225249e-05, + "loss": 0.5406, + "step": 182 + }, + { + "epoch": 0.02, + "learning_rate": 1.490695739894525e-05, + "loss": 0.5899, + "step": 183 + }, + { + "epoch": 0.02, + "learning_rate": 1.4922551456348949e-05, + "loss": 0.581, + "step": 184 + }, + { + "epoch": 0.02, + "learning_rate": 1.4938060992701351e-05, + "loss": 0.4764, + "step": 185 + }, + { + "epoch": 0.02, + "learning_rate": 1.4953486919287306e-05, + "loss": 0.5899, + "step": 186 + }, + { + "epoch": 0.02, + "learning_rate": 1.4968830132732762e-05, + "loss": 0.545, + "step": 187 + }, + { + "epoch": 0.02, + "learning_rate": 1.498409151531753e-05, + "loss": 0.5778, + "step": 188 + }, + { + "epoch": 0.02, + "learning_rate": 1.4999271935279695e-05, + "loss": 0.6198, + "step": 189 + }, + { + "epoch": 0.02, + "learning_rate": 1.501437224711202e-05, + "loss": 0.5306, + "step": 190 + }, + { + "epoch": 0.02, + "learning_rate": 1.502939329185056e-05, + "loss": 0.5418, + "step": 191 + }, + { + "epoch": 0.02, + "learning_rate": 1.5044335897355759e-05, + "loss": 0.5994, + "step": 192 + }, + { + "epoch": 0.02, + "learning_rate": 1.5059200878586217e-05, + "loss": 0.551, + "step": 193 + }, + { + "epoch": 0.02, + "learning_rate": 1.5073989037865402e-05, + "loss": 0.6379, + "step": 194 + }, + { + "epoch": 0.02, + "learning_rate": 1.5088701165141504e-05, + "loss": 0.5521, + "step": 195 + }, + { + "epoch": 0.02, + "learning_rate": 1.5103338038240643e-05, + "loss": 0.6459, + "step": 196 + }, + { + "epoch": 0.02, + "learning_rate": 1.5117900423113624e-05, + "loss": 0.5723, + "step": 197 + }, + { + "epoch": 0.02, + "learning_rate": 1.513238907407646e-05, + "loss": 0.5429, + "step": 198 + }, + { + "epoch": 0.02, + "learning_rate": 1.5146804734044818e-05, + "loss": 0.4997, + "step": 199 + }, + { + "epoch": 0.02, + "learning_rate": 1.516114813476261e-05, + "loss": 0.4738, + "step": 200 + }, + { + "epoch": 0.02, + "learning_rate": 1.5175419997024878e-05, + "loss": 0.4643, + "step": 201 + }, + { + "epoch": 0.02, + "learning_rate": 1.518962103089512e-05, + "loss": 0.5786, + "step": 202 + }, + { + "epoch": 0.02, + "learning_rate": 1.5203751935917298e-05, + "loss": 0.5729, + "step": 203 + }, + { + "epoch": 0.02, + "learning_rate": 1.5217813401322604e-05, + "loss": 0.5732, + "step": 204 + }, + { + "epoch": 0.02, + "learning_rate": 1.5231806106231173e-05, + "loss": 0.5845, + "step": 205 + }, + { + "epoch": 0.02, + "learning_rate": 1.5245730719848901e-05, + "loss": 0.642, + "step": 206 + }, + { + "epoch": 0.02, + "learning_rate": 1.5259587901659488e-05, + "loss": 0.6393, + "step": 207 + }, + { + "epoch": 0.02, + "learning_rate": 1.5273378301611856e-05, + "loss": 0.6126, + "step": 208 + }, + { + "epoch": 0.02, + "learning_rate": 1.528710256030307e-05, + "loss": 0.5222, + "step": 209 + }, + { + "epoch": 0.02, + "learning_rate": 1.5300761309156896e-05, + "loss": 0.586, + "step": 210 + }, + { + "epoch": 0.02, + "learning_rate": 1.5314355170598128e-05, + "loss": 0.6555, + "step": 211 + }, + { + "epoch": 0.02, + "learning_rate": 1.5327884758222758e-05, + "loss": 0.5937, + "step": 212 + }, + { + "epoch": 0.02, + "learning_rate": 1.5341350676964193e-05, + "loss": 0.5904, + "step": 213 + }, + { + "epoch": 0.02, + "learning_rate": 1.5354753523255534e-05, + "loss": 0.5649, + "step": 214 + }, + { + "epoch": 0.02, + "learning_rate": 1.5368093885188112e-05, + "loss": 0.6511, + "step": 215 + }, + { + "epoch": 0.02, + "learning_rate": 1.5381372342666303e-05, + "loss": 0.5753, + "step": 216 + }, + { + "epoch": 0.02, + "learning_rate": 1.5394589467558795e-05, + "loss": 0.6123, + "step": 217 + }, + { + "epoch": 0.02, + "learning_rate": 1.5407745823846384e-05, + "loss": 0.6138, + "step": 218 + }, + { + "epoch": 0.02, + "learning_rate": 1.5420841967766373e-05, + "loss": 0.6422, + "step": 219 + }, + { + "epoch": 0.02, + "learning_rate": 1.5433878447953667e-05, + "loss": 0.5754, + "step": 220 + }, + { + "epoch": 0.02, + "learning_rate": 1.5446855805578697e-05, + "loss": 0.5589, + "step": 221 + }, + { + "epoch": 0.02, + "learning_rate": 1.5459774574482244e-05, + "loss": 0.5047, + "step": 222 + }, + { + "epoch": 0.02, + "learning_rate": 1.5472635281307167e-05, + "loss": 0.5149, + "step": 223 + }, + { + "epoch": 0.02, + "learning_rate": 1.548543844562725e-05, + "loss": 0.6007, + "step": 224 + }, + { + "epoch": 0.02, + "learning_rate": 1.5498184580073153e-05, + "loss": 0.547, + "step": 225 + }, + { + "epoch": 0.03, + "learning_rate": 1.551087419045557e-05, + "loss": 0.5509, + "step": 226 + }, + { + "epoch": 0.03, + "learning_rate": 1.5523507775885677e-05, + "loss": 0.5163, + "step": 227 + }, + { + "epoch": 0.03, + "learning_rate": 1.5536085828892914e-05, + "loss": 0.5507, + "step": 228 + }, + { + "epoch": 0.03, + "learning_rate": 1.554860883554021e-05, + "loss": 0.6099, + "step": 229 + }, + { + "epoch": 0.03, + "learning_rate": 1.556107727553669e-05, + "loss": 0.629, + "step": 230 + }, + { + "epoch": 0.03, + "learning_rate": 1.5573491622347945e-05, + "loss": 0.5374, + "step": 231 + }, + { + "epoch": 0.03, + "learning_rate": 1.5585852343303905e-05, + "loss": 0.566, + "step": 232 + }, + { + "epoch": 0.03, + "learning_rate": 1.559815989970438e-05, + "loss": 0.5439, + "step": 233 + }, + { + "epoch": 0.03, + "learning_rate": 1.5610414746922398e-05, + "loss": 0.5512, + "step": 234 + }, + { + "epoch": 0.03, + "learning_rate": 1.5622617334505276e-05, + "loss": 0.5926, + "step": 235 + }, + { + "epoch": 0.03, + "learning_rate": 1.5634768106273582e-05, + "loss": 0.5264, + "step": 236 + }, + { + "epoch": 0.03, + "learning_rate": 1.5646867500417986e-05, + "loss": 0.6218, + "step": 237 + }, + { + "epoch": 0.03, + "learning_rate": 1.5658915949594093e-05, + "loss": 0.514, + "step": 238 + }, + { + "epoch": 0.03, + "learning_rate": 1.567091388101526e-05, + "loss": 0.5519, + "step": 239 + }, + { + "epoch": 0.03, + "learning_rate": 1.5682861716543505e-05, + "loss": 0.6019, + "step": 240 + }, + { + "epoch": 0.03, + "learning_rate": 1.5694759872778492e-05, + "loss": 0.5912, + "step": 241 + }, + { + "epoch": 0.03, + "learning_rate": 1.5706608761144716e-05, + "loss": 0.5755, + "step": 242 + }, + { + "epoch": 0.03, + "learning_rate": 1.571840878797684e-05, + "loss": 0.5822, + "step": 243 + }, + { + "epoch": 0.03, + "learning_rate": 1.5730160354603345e-05, + "loss": 0.5901, + "step": 244 + }, + { + "epoch": 0.03, + "learning_rate": 1.574186385742839e-05, + "loss": 0.5698, + "step": 245 + }, + { + "epoch": 0.03, + "learning_rate": 1.5753519688012065e-05, + "loss": 0.5899, + "step": 246 + }, + { + "epoch": 0.03, + "learning_rate": 1.5765128233149006e-05, + "loss": 0.4891, + "step": 247 + }, + { + "epoch": 0.03, + "learning_rate": 1.57766898749454e-05, + "loss": 0.4963, + "step": 248 + }, + { + "epoch": 0.03, + "learning_rate": 1.5788204990894453e-05, + "loss": 0.5831, + "step": 249 + }, + { + "epoch": 0.03, + "learning_rate": 1.5799673953950355e-05, + "loss": 0.5373, + "step": 250 + }, + { + "epoch": 0.03, + "learning_rate": 1.581109713260075e-05, + "loss": 0.645, + "step": 251 + }, + { + "epoch": 0.03, + "learning_rate": 1.582247489093779e-05, + "loss": 0.5489, + "step": 252 + }, + { + "epoch": 0.03, + "learning_rate": 1.5833807588727743e-05, + "loss": 0.6797, + "step": 253 + }, + { + "epoch": 0.03, + "learning_rate": 1.584509558147927e-05, + "loss": 0.6498, + "step": 254 + }, + { + "epoch": 0.03, + "learning_rate": 1.5856339220510346e-05, + "loss": 0.5179, + "step": 255 + }, + { + "epoch": 0.03, + "learning_rate": 1.5867538853013854e-05, + "loss": 0.6621, + "step": 256 + }, + { + "epoch": 0.03, + "learning_rate": 1.5878694822121926e-05, + "loss": 0.6863, + "step": 257 + }, + { + "epoch": 0.03, + "learning_rate": 1.5889807466969004e-05, + "loss": 0.5007, + "step": 258 + }, + { + "epoch": 0.03, + "learning_rate": 1.5900877122753732e-05, + "loss": 0.4979, + "step": 259 + }, + { + "epoch": 0.03, + "learning_rate": 1.59119041207996e-05, + "loss": 0.4783, + "step": 260 + }, + { + "epoch": 0.03, + "learning_rate": 1.5922888788614447e-05, + "loss": 0.537, + "step": 261 + }, + { + "epoch": 0.03, + "learning_rate": 1.5933831449948833e-05, + "loss": 0.5873, + "step": 262 + }, + { + "epoch": 0.03, + "learning_rate": 1.594473242485331e-05, + "loss": 0.5767, + "step": 263 + }, + { + "epoch": 0.03, + "learning_rate": 1.5955592029734555e-05, + "loss": 0.5074, + "step": 264 + }, + { + "epoch": 0.03, + "learning_rate": 1.59664105774105e-05, + "loss": 0.6225, + "step": 265 + }, + { + "epoch": 0.03, + "learning_rate": 1.5977188377164402e-05, + "loss": 0.5439, + "step": 266 + }, + { + "epoch": 0.03, + "learning_rate": 1.5987925734797875e-05, + "loss": 0.5463, + "step": 267 + }, + { + "epoch": 0.03, + "learning_rate": 1.599862295268297e-05, + "loss": 0.5261, + "step": 268 + }, + { + "epoch": 0.03, + "learning_rate": 1.600928032981328e-05, + "loss": 0.5917, + "step": 269 + }, + { + "epoch": 0.03, + "learning_rate": 1.6019898161854047e-05, + "loss": 0.6276, + "step": 270 + }, + { + "epoch": 0.03, + "learning_rate": 1.6030476741191406e-05, + "loss": 0.4766, + "step": 271 + }, + { + "epoch": 0.03, + "learning_rate": 1.6041016356980702e-05, + "loss": 0.6946, + "step": 272 + }, + { + "epoch": 0.03, + "learning_rate": 1.6051517295193886e-05, + "loss": 0.4927, + "step": 273 + }, + { + "epoch": 0.03, + "learning_rate": 1.606197983866611e-05, + "loss": 0.5139, + "step": 274 + }, + { + "epoch": 0.03, + "learning_rate": 1.6072404267141408e-05, + "loss": 0.5085, + "step": 275 + }, + { + "epoch": 0.03, + "learning_rate": 1.608279085731758e-05, + "loss": 0.5959, + "step": 276 + }, + { + "epoch": 0.03, + "learning_rate": 1.6093139882890288e-05, + "loss": 0.5475, + "step": 277 + }, + { + "epoch": 0.03, + "learning_rate": 1.610345161459628e-05, + "loss": 0.6135, + "step": 278 + }, + { + "epoch": 0.03, + "learning_rate": 1.611372632025594e-05, + "loss": 0.5641, + "step": 279 + }, + { + "epoch": 0.03, + "learning_rate": 1.6123964264814993e-05, + "loss": 0.5371, + "step": 280 + }, + { + "epoch": 0.03, + "learning_rate": 1.613416571038551e-05, + "loss": 0.6332, + "step": 281 + }, + { + "epoch": 0.03, + "learning_rate": 1.6144330916286167e-05, + "loss": 0.6809, + "step": 282 + }, + { + "epoch": 0.03, + "learning_rate": 1.6154460139081807e-05, + "loss": 0.5163, + "step": 283 + }, + { + "epoch": 0.03, + "learning_rate": 1.6164553632622287e-05, + "loss": 0.6258, + "step": 284 + }, + { + "epoch": 0.03, + "learning_rate": 1.6174611648080655e-05, + "loss": 0.5041, + "step": 285 + }, + { + "epoch": 0.03, + "learning_rate": 1.618463443399065e-05, + "loss": 0.5274, + "step": 286 + }, + { + "epoch": 0.03, + "learning_rate": 1.6194622236283553e-05, + "loss": 0.6007, + "step": 287 + }, + { + "epoch": 0.03, + "learning_rate": 1.6204575298324396e-05, + "loss": 0.5516, + "step": 288 + }, + { + "epoch": 0.03, + "learning_rate": 1.6214493860947543e-05, + "loss": 0.5306, + "step": 289 + }, + { + "epoch": 0.03, + "learning_rate": 1.6224378162491646e-05, + "loss": 0.5415, + "step": 290 + }, + { + "epoch": 0.03, + "learning_rate": 1.623422843883404e-05, + "loss": 0.5971, + "step": 291 + }, + { + "epoch": 0.03, + "learning_rate": 1.6244044923424466e-05, + "loss": 0.5688, + "step": 292 + }, + { + "epoch": 0.03, + "learning_rate": 1.625382784731833e-05, + "loss": 0.5226, + "step": 293 + }, + { + "epoch": 0.03, + "learning_rate": 1.626357743920928e-05, + "loss": 0.6165, + "step": 294 + }, + { + "epoch": 0.03, + "learning_rate": 1.6273293925461323e-05, + "loss": 0.5013, + "step": 295 + }, + { + "epoch": 0.03, + "learning_rate": 1.628297753014034e-05, + "loss": 0.6515, + "step": 296 + }, + { + "epoch": 0.03, + "learning_rate": 1.6292628475045097e-05, + "loss": 0.5642, + "step": 297 + }, + { + "epoch": 0.03, + "learning_rate": 1.6302246979737718e-05, + "loss": 0.6701, + "step": 298 + }, + { + "epoch": 0.03, + "learning_rate": 1.631183326157368e-05, + "loss": 0.5697, + "step": 299 + }, + { + "epoch": 0.03, + "learning_rate": 1.6321387535731246e-05, + "loss": 0.4882, + "step": 300 + }, + { + "epoch": 0.03, + "learning_rate": 1.633091001524049e-05, + "loss": 0.4964, + "step": 301 + }, + { + "epoch": 0.03, + "learning_rate": 1.6340400911011772e-05, + "loss": 0.5083, + "step": 302 + }, + { + "epoch": 0.03, + "learning_rate": 1.6349860431863754e-05, + "loss": 0.5235, + "step": 303 + }, + { + "epoch": 0.03, + "learning_rate": 1.6359288784551008e-05, + "loss": 0.5889, + "step": 304 + }, + { + "epoch": 0.03, + "learning_rate": 1.636868617379109e-05, + "loss": 0.5018, + "step": 305 + }, + { + "epoch": 0.03, + "learning_rate": 1.637805280229124e-05, + "loss": 0.5464, + "step": 306 + }, + { + "epoch": 0.03, + "learning_rate": 1.6387388870774602e-05, + "loss": 0.552, + "step": 307 + }, + { + "epoch": 0.03, + "learning_rate": 1.6396694578006042e-05, + "loss": 0.5869, + "step": 308 + }, + { + "epoch": 0.03, + "learning_rate": 1.6405970120817537e-05, + "loss": 0.6207, + "step": 309 + }, + { + "epoch": 0.03, + "learning_rate": 1.6415215694133145e-05, + "loss": 0.6394, + "step": 310 + }, + { + "epoch": 0.03, + "learning_rate": 1.64244314909936e-05, + "loss": 0.5614, + "step": 311 + }, + { + "epoch": 0.03, + "learning_rate": 1.6433617702580492e-05, + "loss": 0.4972, + "step": 312 + }, + { + "epoch": 0.03, + "learning_rate": 1.6442774518240053e-05, + "loss": 0.4634, + "step": 313 + }, + { + "epoch": 0.03, + "learning_rate": 1.6451902125506596e-05, + "loss": 0.5974, + "step": 314 + }, + { + "epoch": 0.03, + "learning_rate": 1.6461000710125535e-05, + "loss": 0.5743, + "step": 315 + }, + { + "epoch": 0.03, + "learning_rate": 1.6470070456076083e-05, + "loss": 0.5037, + "step": 316 + }, + { + "epoch": 0.04, + "learning_rate": 1.6479111545593562e-05, + "loss": 0.5833, + "step": 317 + }, + { + "epoch": 0.04, + "learning_rate": 1.6488124159191394e-05, + "loss": 0.5229, + "step": 318 + }, + { + "epoch": 0.04, + "learning_rate": 1.64971084756827e-05, + "loss": 0.5252, + "step": 319 + }, + { + "epoch": 0.04, + "learning_rate": 1.65060646722016e-05, + "loss": 0.5261, + "step": 320 + }, + { + "epoch": 0.04, + "learning_rate": 1.6514992924224173e-05, + "loss": 0.6268, + "step": 321 + }, + { + "epoch": 0.04, + "learning_rate": 1.6523893405589072e-05, + "loss": 0.4947, + "step": 322 + }, + { + "epoch": 0.04, + "learning_rate": 1.653276628851785e-05, + "loss": 0.5355, + "step": 323 + }, + { + "epoch": 0.04, + "learning_rate": 1.6541611743634935e-05, + "loss": 0.5318, + "step": 324 + }, + { + "epoch": 0.04, + "learning_rate": 1.655042993998734e-05, + "loss": 0.5793, + "step": 325 + }, + { + "epoch": 0.04, + "learning_rate": 1.6559221045064036e-05, + "loss": 0.5441, + "step": 326 + }, + { + "epoch": 0.04, + "learning_rate": 1.6567985224815023e-05, + "loss": 0.652, + "step": 327 + }, + { + "epoch": 0.04, + "learning_rate": 1.657672264367016e-05, + "loss": 0.5418, + "step": 328 + }, + { + "epoch": 0.04, + "learning_rate": 1.6585433464557655e-05, + "loss": 0.5166, + "step": 329 + }, + { + "epoch": 0.04, + "learning_rate": 1.65941178489223e-05, + "loss": 0.6662, + "step": 330 + }, + { + "epoch": 0.04, + "learning_rate": 1.6602775956743414e-05, + "loss": 0.5658, + "step": 331 + }, + { + "epoch": 0.04, + "learning_rate": 1.661140794655255e-05, + "loss": 0.5542, + "step": 332 + }, + { + "epoch": 0.04, + "learning_rate": 1.6620013975450883e-05, + "loss": 0.5825, + "step": 333 + }, + { + "epoch": 0.04, + "learning_rate": 1.6628594199126386e-05, + "loss": 0.6058, + "step": 334 + }, + { + "epoch": 0.04, + "learning_rate": 1.6637148771870718e-05, + "loss": 0.6386, + "step": 335 + }, + { + "epoch": 0.04, + "learning_rate": 1.6645677846595888e-05, + "loss": 0.6168, + "step": 336 + }, + { + "epoch": 0.04, + "learning_rate": 1.665418157485063e-05, + "loss": 0.6497, + "step": 337 + }, + { + "epoch": 0.04, + "learning_rate": 1.6662660106836587e-05, + "loss": 0.5554, + "step": 338 + }, + { + "epoch": 0.04, + "learning_rate": 1.6671113591424207e-05, + "loss": 0.5837, + "step": 339 + }, + { + "epoch": 0.04, + "learning_rate": 1.6679542176168443e-05, + "loss": 0.6092, + "step": 340 + }, + { + "epoch": 0.04, + "learning_rate": 1.6687946007324195e-05, + "loss": 0.4532, + "step": 341 + }, + { + "epoch": 0.04, + "learning_rate": 1.6696325229861546e-05, + "loss": 0.6263, + "step": 342 + }, + { + "epoch": 0.04, + "learning_rate": 1.6704679987480766e-05, + "loss": 0.5404, + "step": 343 + }, + { + "epoch": 0.04, + "learning_rate": 1.67130104226271e-05, + "loss": 0.5436, + "step": 344 + }, + { + "epoch": 0.04, + "learning_rate": 1.672131667650533e-05, + "loss": 0.7162, + "step": 345 + }, + { + "epoch": 0.04, + "learning_rate": 1.672959888909414e-05, + "loss": 0.4475, + "step": 346 + }, + { + "epoch": 0.04, + "learning_rate": 1.6737857199160292e-05, + "loss": 0.5442, + "step": 347 + }, + { + "epoch": 0.04, + "learning_rate": 1.674609174427254e-05, + "loss": 0.5959, + "step": 348 + }, + { + "epoch": 0.04, + "learning_rate": 1.6754302660815412e-05, + "loss": 0.6164, + "step": 349 + }, + { + "epoch": 0.04, + "learning_rate": 1.6762490084002738e-05, + "loss": 0.4781, + "step": 350 + }, + { + "epoch": 0.04, + "learning_rate": 1.6770654147891034e-05, + "loss": 0.5056, + "step": 351 + }, + { + "epoch": 0.04, + "learning_rate": 1.677879498539265e-05, + "loss": 0.549, + "step": 352 + }, + { + "epoch": 0.04, + "learning_rate": 1.6786912728288774e-05, + "loss": 0.6105, + "step": 353 + }, + { + "epoch": 0.04, + "learning_rate": 1.6795007507242215e-05, + "loss": 0.5848, + "step": 354 + }, + { + "epoch": 0.04, + "learning_rate": 1.680307945181003e-05, + "loss": 0.5378, + "step": 355 + }, + { + "epoch": 0.04, + "learning_rate": 1.681112869045597e-05, + "loss": 0.5322, + "step": 356 + }, + { + "epoch": 0.04, + "learning_rate": 1.681915535056273e-05, + "loss": 0.6776, + "step": 357 + }, + { + "epoch": 0.04, + "learning_rate": 1.6827159558444067e-05, + "loss": 0.5667, + "step": 358 + }, + { + "epoch": 0.04, + "learning_rate": 1.683514143935671e-05, + "loss": 0.5768, + "step": 359 + }, + { + "epoch": 0.04, + "learning_rate": 1.684310111751214e-05, + "loss": 0.6573, + "step": 360 + }, + { + "epoch": 0.04, + "learning_rate": 1.6851038716088158e-05, + "loss": 0.5969, + "step": 361 + }, + { + "epoch": 0.04, + "learning_rate": 1.685895435724035e-05, + "loss": 0.5442, + "step": 362 + }, + { + "epoch": 0.04, + "learning_rate": 1.6866848162113348e-05, + "loss": 0.574, + "step": 363 + }, + { + "epoch": 0.04, + "learning_rate": 1.6874720250851983e-05, + "loss": 0.6117, + "step": 364 + }, + { + "epoch": 0.04, + "learning_rate": 1.688257074261221e-05, + "loss": 0.513, + "step": 365 + }, + { + "epoch": 0.04, + "learning_rate": 1.689039975557198e-05, + "loss": 0.5923, + "step": 366 + }, + { + "epoch": 0.04, + "learning_rate": 1.689820740694188e-05, + "loss": 0.5926, + "step": 367 + }, + { + "epoch": 0.04, + "learning_rate": 1.690599381297568e-05, + "loss": 0.4017, + "step": 368 + }, + { + "epoch": 0.04, + "learning_rate": 1.69137590889807e-05, + "loss": 0.5908, + "step": 369 + }, + { + "epoch": 0.04, + "learning_rate": 1.6921503349328082e-05, + "loss": 0.5254, + "step": 370 + }, + { + "epoch": 0.04, + "learning_rate": 1.692922670746288e-05, + "loss": 0.5322, + "step": 371 + }, + { + "epoch": 0.04, + "learning_rate": 1.6936929275914037e-05, + "loss": 0.6183, + "step": 372 + }, + { + "epoch": 0.04, + "learning_rate": 1.694461116630421e-05, + "loss": 0.5646, + "step": 373 + }, + { + "epoch": 0.04, + "learning_rate": 1.6952272489359493e-05, + "loss": 0.5263, + "step": 374 + }, + { + "epoch": 0.04, + "learning_rate": 1.6959913354918994e-05, + "loss": 0.5172, + "step": 375 + }, + { + "epoch": 0.04, + "learning_rate": 1.696753387194426e-05, + "loss": 0.6059, + "step": 376 + }, + { + "epoch": 0.04, + "learning_rate": 1.6975134148528636e-05, + "loss": 0.5328, + "step": 377 + }, + { + "epoch": 0.04, + "learning_rate": 1.6982714291906426e-05, + "loss": 0.5756, + "step": 378 + }, + { + "epoch": 0.04, + "learning_rate": 1.6990274408462006e-05, + "loss": 0.5749, + "step": 379 + }, + { + "epoch": 0.04, + "learning_rate": 1.6997814603738752e-05, + "loss": 0.5727, + "step": 380 + }, + { + "epoch": 0.04, + "learning_rate": 1.700533498244791e-05, + "loss": 0.5735, + "step": 381 + }, + { + "epoch": 0.04, + "learning_rate": 1.7012835648477294e-05, + "loss": 0.515, + "step": 382 + }, + { + "epoch": 0.04, + "learning_rate": 1.7020316704899918e-05, + "loss": 0.5417, + "step": 383 + }, + { + "epoch": 0.04, + "learning_rate": 1.7027778253982493e-05, + "loss": 0.6972, + "step": 384 + }, + { + "epoch": 0.04, + "learning_rate": 1.703522039719379e-05, + "loss": 0.5408, + "step": 385 + }, + { + "epoch": 0.04, + "learning_rate": 1.704264323521295e-05, + "loss": 0.5915, + "step": 386 + }, + { + "epoch": 0.04, + "learning_rate": 1.7050046867937643e-05, + "loss": 0.4227, + "step": 387 + }, + { + "epoch": 0.04, + "learning_rate": 1.7057431394492136e-05, + "loss": 0.5962, + "step": 388 + }, + { + "epoch": 0.04, + "learning_rate": 1.706479691323525e-05, + "loss": 0.5413, + "step": 389 + }, + { + "epoch": 0.04, + "learning_rate": 1.7072143521768236e-05, + "loss": 0.6064, + "step": 390 + }, + { + "epoch": 0.04, + "learning_rate": 1.7079471316942523e-05, + "loss": 0.5745, + "step": 391 + }, + { + "epoch": 0.04, + "learning_rate": 1.7086780394867376e-05, + "loss": 0.4538, + "step": 392 + }, + { + "epoch": 0.04, + "learning_rate": 1.709407085091747e-05, + "loss": 0.6207, + "step": 393 + }, + { + "epoch": 0.04, + "learning_rate": 1.7101342779740357e-05, + "loss": 0.557, + "step": 394 + }, + { + "epoch": 0.04, + "learning_rate": 1.7108596275263824e-05, + "loss": 0.6219, + "step": 395 + }, + { + "epoch": 0.04, + "learning_rate": 1.711583143070319e-05, + "loss": 0.5084, + "step": 396 + }, + { + "epoch": 0.04, + "learning_rate": 1.7123048338568488e-05, + "loss": 0.5837, + "step": 397 + }, + { + "epoch": 0.04, + "learning_rate": 1.713024709067155e-05, + "loss": 0.6163, + "step": 398 + }, + { + "epoch": 0.04, + "learning_rate": 1.7137427778133038e-05, + "loss": 0.5356, + "step": 399 + }, + { + "epoch": 0.04, + "learning_rate": 1.7144590491389343e-05, + "loss": 0.5429, + "step": 400 + }, + { + "epoch": 0.04, + "learning_rate": 1.715173532019944e-05, + "loss": 0.5497, + "step": 401 + }, + { + "epoch": 0.04, + "learning_rate": 1.715886235365161e-05, + "loss": 0.5701, + "step": 402 + }, + { + "epoch": 0.04, + "learning_rate": 1.7165971680170132e-05, + "loss": 0.5666, + "step": 403 + }, + { + "epoch": 0.04, + "learning_rate": 1.7173063387521855e-05, + "loss": 0.5529, + "step": 404 + }, + { + "epoch": 0.04, + "learning_rate": 1.718013756282268e-05, + "loss": 0.5238, + "step": 405 + }, + { + "epoch": 0.04, + "learning_rate": 1.718719429254403e-05, + "loss": 0.4568, + "step": 406 + }, + { + "epoch": 0.05, + "learning_rate": 1.7194233662519135e-05, + "loss": 0.572, + "step": 407 + }, + { + "epoch": 0.05, + "learning_rate": 1.7201255757949334e-05, + "loss": 0.6555, + "step": 408 + }, + { + "epoch": 0.05, + "learning_rate": 1.720826066341025e-05, + "loss": 0.515, + "step": 409 + }, + { + "epoch": 0.05, + "learning_rate": 1.7215248462857907e-05, + "loss": 0.5578, + "step": 410 + }, + { + "epoch": 0.05, + "learning_rate": 1.7222219239634746e-05, + "loss": 0.6619, + "step": 411 + }, + { + "epoch": 0.05, + "learning_rate": 1.7229173076475634e-05, + "loss": 0.5263, + "step": 412 + }, + { + "epoch": 0.05, + "learning_rate": 1.7236110055513706e-05, + "loss": 0.4541, + "step": 413 + }, + { + "epoch": 0.05, + "learning_rate": 1.724303025828622e-05, + "loss": 0.591, + "step": 414 + }, + { + "epoch": 0.05, + "learning_rate": 1.724993376574029e-05, + "loss": 0.5094, + "step": 415 + }, + { + "epoch": 0.05, + "learning_rate": 1.7256820658238585e-05, + "loss": 0.5752, + "step": 416 + }, + { + "epoch": 0.05, + "learning_rate": 1.726369101556492e-05, + "loss": 0.6535, + "step": 417 + }, + { + "epoch": 0.05, + "learning_rate": 1.72705449169298e-05, + "loss": 0.5892, + "step": 418 + }, + { + "epoch": 0.05, + "learning_rate": 1.727738244097594e-05, + "loss": 0.5721, + "step": 419 + }, + { + "epoch": 0.05, + "learning_rate": 1.728420366578363e-05, + "loss": 0.5985, + "step": 420 + }, + { + "epoch": 0.05, + "learning_rate": 1.729100866887611e-05, + "loss": 0.5849, + "step": 421 + }, + { + "epoch": 0.05, + "learning_rate": 1.729779752722486e-05, + "loss": 0.5275, + "step": 422 + }, + { + "epoch": 0.05, + "learning_rate": 1.73045703172548e-05, + "loss": 0.5491, + "step": 423 + }, + { + "epoch": 0.05, + "learning_rate": 1.731132711484949e-05, + "loss": 0.5511, + "step": 424 + }, + { + "epoch": 0.05, + "learning_rate": 1.7318067995356188e-05, + "loss": 0.5125, + "step": 425 + }, + { + "epoch": 0.05, + "learning_rate": 1.7324793033590926e-05, + "loss": 0.4661, + "step": 426 + }, + { + "epoch": 0.05, + "learning_rate": 1.733150230384347e-05, + "loss": 0.5694, + "step": 427 + }, + { + "epoch": 0.05, + "learning_rate": 1.7338195879882266e-05, + "loss": 0.671, + "step": 428 + }, + { + "epoch": 0.05, + "learning_rate": 1.7344873834959285e-05, + "loss": 0.5803, + "step": 429 + }, + { + "epoch": 0.05, + "learning_rate": 1.7351536241814845e-05, + "loss": 0.5693, + "step": 430 + }, + { + "epoch": 0.05, + "learning_rate": 1.7358183172682353e-05, + "loss": 0.516, + "step": 431 + }, + { + "epoch": 0.05, + "learning_rate": 1.7364814699293032e-05, + "loss": 0.6418, + "step": 432 + }, + { + "epoch": 0.05, + "learning_rate": 1.7371430892880526e-05, + "loss": 0.6126, + "step": 433 + }, + { + "epoch": 0.05, + "learning_rate": 1.7378031824185524e-05, + "loss": 0.6258, + "step": 434 + }, + { + "epoch": 0.05, + "learning_rate": 1.7384617563460285e-05, + "loss": 0.5572, + "step": 435 + }, + { + "epoch": 0.05, + "learning_rate": 1.7391188180473117e-05, + "loss": 0.5061, + "step": 436 + }, + { + "epoch": 0.05, + "learning_rate": 1.7397743744512828e-05, + "loss": 0.5171, + "step": 437 + }, + { + "epoch": 0.05, + "learning_rate": 1.7404284324393105e-05, + "loss": 0.5689, + "step": 438 + }, + { + "epoch": 0.05, + "learning_rate": 1.7410809988456828e-05, + "loss": 0.7422, + "step": 439 + }, + { + "epoch": 0.05, + "learning_rate": 1.7417320804580393e-05, + "loss": 0.5822, + "step": 440 + }, + { + "epoch": 0.05, + "learning_rate": 1.7423816840177918e-05, + "loss": 0.5442, + "step": 441 + }, + { + "epoch": 0.05, + "learning_rate": 1.743029816220543e-05, + "loss": 0.5742, + "step": 442 + }, + { + "epoch": 0.05, + "learning_rate": 1.7436764837165034e-05, + "loss": 0.4961, + "step": 443 + }, + { + "epoch": 0.05, + "learning_rate": 1.7443216931108977e-05, + "loss": 0.5295, + "step": 444 + }, + { + "epoch": 0.05, + "learning_rate": 1.7449654509643713e-05, + "loss": 0.5487, + "step": 445 + }, + { + "epoch": 0.05, + "learning_rate": 1.74560776379339e-05, + "loss": 0.544, + "step": 446 + }, + { + "epoch": 0.05, + "learning_rate": 1.7462486380706357e-05, + "loss": 0.5692, + "step": 447 + }, + { + "epoch": 0.05, + "learning_rate": 1.746888080225398e-05, + "loss": 0.5336, + "step": 448 + }, + { + "epoch": 0.05, + "learning_rate": 1.747526096643962e-05, + "loss": 0.5277, + "step": 449 + }, + { + "epoch": 0.05, + "learning_rate": 1.7481626936699885e-05, + "loss": 0.6658, + "step": 450 + }, + { + "epoch": 0.05, + "learning_rate": 1.7487978776048956e-05, + "loss": 0.5885, + "step": 451 + }, + { + "epoch": 0.05, + "learning_rate": 1.7494316547082304e-05, + "loss": 0.514, + "step": 452 + }, + { + "epoch": 0.05, + "learning_rate": 1.750064031198041e-05, + "loss": 0.5997, + "step": 453 + }, + { + "epoch": 0.05, + "learning_rate": 1.750695013251241e-05, + "loss": 0.5266, + "step": 454 + }, + { + "epoch": 0.05, + "learning_rate": 1.7513246070039724e-05, + "loss": 0.5376, + "step": 455 + }, + { + "epoch": 0.05, + "learning_rate": 1.7519528185519647e-05, + "loss": 0.5475, + "step": 456 + }, + { + "epoch": 0.05, + "learning_rate": 1.752579653950885e-05, + "loss": 0.5721, + "step": 457 + }, + { + "epoch": 0.05, + "learning_rate": 1.7532051192166938e-05, + "loss": 0.5355, + "step": 458 + }, + { + "epoch": 0.05, + "learning_rate": 1.7538292203259877e-05, + "loss": 0.6119, + "step": 459 + }, + { + "epoch": 0.05, + "learning_rate": 1.7544519632163423e-05, + "loss": 0.5419, + "step": 460 + }, + { + "epoch": 0.05, + "learning_rate": 1.755073353786653e-05, + "loss": 0.5822, + "step": 461 + }, + { + "epoch": 0.05, + "learning_rate": 1.7556933978974678e-05, + "loss": 0.6596, + "step": 462 + }, + { + "epoch": 0.05, + "learning_rate": 1.756312101371322e-05, + "loss": 0.633, + "step": 463 + }, + { + "epoch": 0.05, + "learning_rate": 1.7569294699930638e-05, + "loss": 0.5852, + "step": 464 + }, + { + "epoch": 0.05, + "learning_rate": 1.7575455095101778e-05, + "loss": 0.6294, + "step": 465 + }, + { + "epoch": 0.05, + "learning_rate": 1.758160225633111e-05, + "loss": 0.5942, + "step": 466 + }, + { + "epoch": 0.05, + "learning_rate": 1.758773624035585e-05, + "loss": 0.593, + "step": 467 + }, + { + "epoch": 0.05, + "learning_rate": 1.759385710354913e-05, + "loss": 0.5545, + "step": 468 + }, + { + "epoch": 0.05, + "learning_rate": 1.75999649019231e-05, + "loss": 0.4919, + "step": 469 + }, + { + "epoch": 0.05, + "learning_rate": 1.7606059691132005e-05, + "loss": 0.5559, + "step": 470 + }, + { + "epoch": 0.05, + "learning_rate": 1.761214152647523e-05, + "loss": 0.5713, + "step": 471 + }, + { + "epoch": 0.05, + "learning_rate": 1.7618210462900308e-05, + "loss": 0.496, + "step": 472 + }, + { + "epoch": 0.05, + "learning_rate": 1.7624266555005894e-05, + "loss": 0.4827, + "step": 473 + }, + { + "epoch": 0.05, + "learning_rate": 1.763030985704472e-05, + "loss": 0.639, + "step": 474 + }, + { + "epoch": 0.05, + "learning_rate": 1.7636340422926493e-05, + "loss": 0.5596, + "step": 475 + }, + { + "epoch": 0.05, + "learning_rate": 1.7642358306220826e-05, + "loss": 0.5839, + "step": 476 + }, + { + "epoch": 0.05, + "learning_rate": 1.7648363560160033e-05, + "loss": 0.5617, + "step": 477 + }, + { + "epoch": 0.05, + "learning_rate": 1.7654356237641993e-05, + "loss": 0.536, + "step": 478 + }, + { + "epoch": 0.05, + "learning_rate": 1.7660336391232944e-05, + "loss": 0.723, + "step": 479 + }, + { + "epoch": 0.05, + "learning_rate": 1.7666304073170238e-05, + "loss": 0.5357, + "step": 480 + }, + { + "epoch": 0.05, + "learning_rate": 1.7672259335365072e-05, + "loss": 0.5578, + "step": 481 + }, + { + "epoch": 0.05, + "learning_rate": 1.7678202229405225e-05, + "loss": 0.5128, + "step": 482 + }, + { + "epoch": 0.05, + "learning_rate": 1.7684132806557708e-05, + "loss": 0.52, + "step": 483 + }, + { + "epoch": 0.05, + "learning_rate": 1.769005111777145e-05, + "loss": 0.5357, + "step": 484 + }, + { + "epoch": 0.05, + "learning_rate": 1.7695957213679877e-05, + "loss": 0.5937, + "step": 485 + }, + { + "epoch": 0.05, + "learning_rate": 1.7701851144603574e-05, + "loss": 0.473, + "step": 486 + }, + { + "epoch": 0.05, + "learning_rate": 1.7707732960552805e-05, + "loss": 0.5367, + "step": 487 + }, + { + "epoch": 0.05, + "learning_rate": 1.7713602711230077e-05, + "loss": 0.6295, + "step": 488 + }, + { + "epoch": 0.05, + "learning_rate": 1.7719460446032672e-05, + "loss": 0.4934, + "step": 489 + }, + { + "epoch": 0.05, + "learning_rate": 1.7725306214055117e-05, + "loss": 0.5826, + "step": 490 + }, + { + "epoch": 0.05, + "learning_rate": 1.7731140064091683e-05, + "loss": 0.5763, + "step": 491 + }, + { + "epoch": 0.05, + "learning_rate": 1.7736962044638795e-05, + "loss": 0.5642, + "step": 492 + }, + { + "epoch": 0.05, + "learning_rate": 1.774277220389748e-05, + "loss": 0.6684, + "step": 493 + }, + { + "epoch": 0.05, + "learning_rate": 1.774857058977574e-05, + "loss": 0.5228, + "step": 494 + }, + { + "epoch": 0.05, + "learning_rate": 1.7754357249890938e-05, + "loss": 0.6497, + "step": 495 + }, + { + "epoch": 0.05, + "learning_rate": 1.7760132231572134e-05, + "loss": 0.5455, + "step": 496 + }, + { + "epoch": 0.06, + "learning_rate": 1.7765895581862414e-05, + "loss": 0.5395, + "step": 497 + }, + { + "epoch": 0.06, + "learning_rate": 1.7771647347521185e-05, + "loss": 0.556, + "step": 498 + }, + { + "epoch": 0.06, + "learning_rate": 1.7777387575026458e-05, + "loss": 0.5065, + "step": 499 + }, + { + "epoch": 0.06, + "learning_rate": 1.7783116310577088e-05, + "loss": 0.5144, + "step": 500 + }, + { + "epoch": 0.06, + "learning_rate": 1.7788833600095018e-05, + "loss": 0.5081, + "step": 501 + }, + { + "epoch": 0.06, + "learning_rate": 1.7794539489227484e-05, + "loss": 0.518, + "step": 502 + }, + { + "epoch": 0.06, + "learning_rate": 1.78002340233492e-05, + "loss": 0.5289, + "step": 503 + }, + { + "epoch": 0.06, + "learning_rate": 1.7805917247564523e-05, + "loss": 0.5451, + "step": 504 + }, + { + "epoch": 0.06, + "learning_rate": 1.7811589206709596e-05, + "loss": 0.5427, + "step": 505 + }, + { + "epoch": 0.06, + "learning_rate": 1.7817249945354472e-05, + "loss": 0.5861, + "step": 506 + }, + { + "epoch": 0.06, + "learning_rate": 1.7822899507805226e-05, + "loss": 0.6558, + "step": 507 + }, + { + "epoch": 0.06, + "learning_rate": 1.7828537938106003e-05, + "loss": 0.5524, + "step": 508 + }, + { + "epoch": 0.06, + "learning_rate": 1.783416528004112e-05, + "loss": 0.6275, + "step": 509 + }, + { + "epoch": 0.06, + "learning_rate": 1.783978157713708e-05, + "loss": 0.6018, + "step": 510 + }, + { + "epoch": 0.06, + "learning_rate": 1.7845386872664593e-05, + "loss": 0.6443, + "step": 511 + }, + { + "epoch": 0.06, + "learning_rate": 1.7850981209640587e-05, + "loss": 0.4966, + "step": 512 + }, + { + "epoch": 0.06, + "learning_rate": 1.7856564630830186e-05, + "loss": 0.4877, + "step": 513 + }, + { + "epoch": 0.06, + "learning_rate": 1.786213717874866e-05, + "loss": 0.5973, + "step": 514 + }, + { + "epoch": 0.06, + "learning_rate": 1.786769889566338e-05, + "loss": 0.5984, + "step": 515 + }, + { + "epoch": 0.06, + "learning_rate": 1.7873249823595736e-05, + "loss": 0.5856, + "step": 516 + }, + { + "epoch": 0.06, + "learning_rate": 1.7878790004323058e-05, + "loss": 0.4739, + "step": 517 + }, + { + "epoch": 0.06, + "learning_rate": 1.7884319479380464e-05, + "loss": 0.564, + "step": 518 + }, + { + "epoch": 0.06, + "learning_rate": 1.7889838290062777e-05, + "loss": 0.519, + "step": 519 + }, + { + "epoch": 0.06, + "learning_rate": 1.7895346477426333e-05, + "loss": 0.5465, + "step": 520 + }, + { + "epoch": 0.06, + "learning_rate": 1.7900844082290837e-05, + "loss": 0.4779, + "step": 521 + }, + { + "epoch": 0.06, + "learning_rate": 1.790633114524118e-05, + "loss": 0.5009, + "step": 522 + }, + { + "epoch": 0.06, + "learning_rate": 1.7911807706629216e-05, + "loss": 0.4604, + "step": 523 + }, + { + "epoch": 0.06, + "learning_rate": 1.7917273806575565e-05, + "loss": 0.5237, + "step": 524 + }, + { + "epoch": 0.06, + "learning_rate": 1.7922729484971373e-05, + "loss": 0.5774, + "step": 525 + }, + { + "epoch": 0.06, + "learning_rate": 1.7928174781480042e-05, + "loss": 0.5023, + "step": 526 + }, + { + "epoch": 0.06, + "learning_rate": 1.7933609735538975e-05, + "loss": 0.4803, + "step": 527 + }, + { + "epoch": 0.06, + "learning_rate": 1.7939034386361287e-05, + "loss": 0.5311, + "step": 528 + }, + { + "epoch": 0.06, + "learning_rate": 1.7944448772937502e-05, + "loss": 0.4861, + "step": 529 + }, + { + "epoch": 0.06, + "learning_rate": 1.7949852934037232e-05, + "loss": 0.5301, + "step": 530 + }, + { + "epoch": 0.06, + "learning_rate": 1.7955246908210854e-05, + "loss": 0.5862, + "step": 531 + }, + { + "epoch": 0.06, + "learning_rate": 1.7960630733791135e-05, + "loss": 0.6284, + "step": 532 + }, + { + "epoch": 0.06, + "learning_rate": 1.796600444889489e-05, + "loss": 0.6727, + "step": 533 + }, + { + "epoch": 0.06, + "learning_rate": 1.7971368091424607e-05, + "loss": 0.6473, + "step": 534 + }, + { + "epoch": 0.06, + "learning_rate": 1.797672169907001e-05, + "loss": 0.5952, + "step": 535 + }, + { + "epoch": 0.06, + "learning_rate": 1.7982065309309703e-05, + "loss": 0.5197, + "step": 536 + }, + { + "epoch": 0.06, + "learning_rate": 1.7987398959412702e-05, + "loss": 0.6366, + "step": 537 + }, + { + "epoch": 0.06, + "learning_rate": 1.799272268644001e-05, + "loss": 0.5991, + "step": 538 + }, + { + "epoch": 0.06, + "learning_rate": 1.7998036527246173e-05, + "loss": 0.5546, + "step": 539 + }, + { + "epoch": 0.06, + "learning_rate": 1.800334051848078e-05, + "loss": 0.6385, + "step": 540 + }, + { + "epoch": 0.06, + "learning_rate": 1.800863469659001e-05, + "loss": 0.5551, + "step": 541 + }, + { + "epoch": 0.06, + "learning_rate": 1.801391909781814e-05, + "loss": 0.5509, + "step": 542 + }, + { + "epoch": 0.06, + "learning_rate": 1.8019193758208982e-05, + "loss": 0.5919, + "step": 543 + }, + { + "epoch": 0.06, + "learning_rate": 1.8024458713607428e-05, + "loss": 0.4524, + "step": 544 + }, + { + "epoch": 0.06, + "learning_rate": 1.802971399966086e-05, + "loss": 0.5615, + "step": 545 + }, + { + "epoch": 0.06, + "learning_rate": 1.803495965182062e-05, + "loss": 0.5768, + "step": 546 + }, + { + "epoch": 0.06, + "learning_rate": 1.804019570534343e-05, + "loss": 0.6382, + "step": 547 + }, + { + "epoch": 0.06, + "learning_rate": 1.8045422195292843e-05, + "loss": 0.5348, + "step": 548 + }, + { + "epoch": 0.06, + "learning_rate": 1.8050639156540616e-05, + "loss": 0.5992, + "step": 549 + }, + { + "epoch": 0.06, + "learning_rate": 1.8055846623768137e-05, + "loss": 0.5703, + "step": 550 + }, + { + "epoch": 0.06, + "learning_rate": 1.8061044631467788e-05, + "loss": 0.6422, + "step": 551 + }, + { + "epoch": 0.06, + "learning_rate": 1.8066233213944314e-05, + "loss": 0.5823, + "step": 552 + }, + { + "epoch": 0.06, + "learning_rate": 1.8071412405316206e-05, + "loss": 0.6151, + "step": 553 + }, + { + "epoch": 0.06, + "learning_rate": 1.807658223951702e-05, + "loss": 0.5276, + "step": 554 + }, + { + "epoch": 0.06, + "learning_rate": 1.808174275029672e-05, + "loss": 0.7056, + "step": 555 + }, + { + "epoch": 0.06, + "learning_rate": 1.8086893971223013e-05, + "loss": 0.5727, + "step": 556 + }, + { + "epoch": 0.06, + "learning_rate": 1.8092035935682638e-05, + "loss": 0.5404, + "step": 557 + }, + { + "epoch": 0.06, + "learning_rate": 1.8097168676882672e-05, + "loss": 0.5694, + "step": 558 + }, + { + "epoch": 0.06, + "learning_rate": 1.810229222785183e-05, + "loss": 0.5635, + "step": 559 + }, + { + "epoch": 0.06, + "learning_rate": 1.8107406621441726e-05, + "loss": 0.5135, + "step": 560 + }, + { + "epoch": 0.06, + "learning_rate": 1.8112511890328128e-05, + "loss": 0.553, + "step": 561 + }, + { + "epoch": 0.06, + "learning_rate": 1.811760806701224e-05, + "loss": 0.6804, + "step": 562 + }, + { + "epoch": 0.06, + "learning_rate": 1.8122695183821916e-05, + "loss": 0.7068, + "step": 563 + }, + { + "epoch": 0.06, + "learning_rate": 1.81277732729129e-05, + "loss": 0.5351, + "step": 564 + }, + { + "epoch": 0.06, + "learning_rate": 1.813284236627005e-05, + "loss": 0.5637, + "step": 565 + }, + { + "epoch": 0.06, + "learning_rate": 1.813790249570854e-05, + "loss": 0.5708, + "step": 566 + }, + { + "epoch": 0.06, + "learning_rate": 1.8142953692875062e-05, + "loss": 0.5801, + "step": 567 + }, + { + "epoch": 0.06, + "learning_rate": 1.814799598924902e-05, + "loss": 0.5225, + "step": 568 + }, + { + "epoch": 0.06, + "learning_rate": 1.8153029416143685e-05, + "loss": 0.5386, + "step": 569 + }, + { + "epoch": 0.06, + "learning_rate": 1.8158054004707388e-05, + "loss": 0.5343, + "step": 570 + }, + { + "epoch": 0.06, + "learning_rate": 1.8163069785924657e-05, + "loss": 0.4948, + "step": 571 + }, + { + "epoch": 0.06, + "learning_rate": 1.8168076790617382e-05, + "loss": 0.4748, + "step": 572 + }, + { + "epoch": 0.06, + "learning_rate": 1.817307504944593e-05, + "loss": 0.5058, + "step": 573 + }, + { + "epoch": 0.06, + "learning_rate": 1.8178064592910286e-05, + "loss": 0.5242, + "step": 574 + }, + { + "epoch": 0.06, + "learning_rate": 1.818304545135117e-05, + "loss": 0.612, + "step": 575 + }, + { + "epoch": 0.06, + "learning_rate": 1.818801765495113e-05, + "loss": 0.4764, + "step": 576 + }, + { + "epoch": 0.06, + "learning_rate": 1.819298123373566e-05, + "loss": 0.547, + "step": 577 + }, + { + "epoch": 0.06, + "learning_rate": 1.8197936217574276e-05, + "loss": 0.5727, + "step": 578 + }, + { + "epoch": 0.06, + "learning_rate": 1.8202882636181587e-05, + "loss": 0.4511, + "step": 579 + }, + { + "epoch": 0.06, + "learning_rate": 1.820782051911838e-05, + "loss": 0.6466, + "step": 580 + }, + { + "epoch": 0.06, + "learning_rate": 1.8212749895792673e-05, + "loss": 0.5242, + "step": 581 + }, + { + "epoch": 0.06, + "learning_rate": 1.821767079546077e-05, + "loss": 0.5179, + "step": 582 + }, + { + "epoch": 0.06, + "learning_rate": 1.8222583247228284e-05, + "loss": 0.5968, + "step": 583 + }, + { + "epoch": 0.06, + "learning_rate": 1.82274872800512e-05, + "loss": 0.5271, + "step": 584 + }, + { + "epoch": 0.06, + "learning_rate": 1.8232382922736872e-05, + "loss": 0.6181, + "step": 585 + }, + { + "epoch": 0.06, + "learning_rate": 1.823727020394506e-05, + "loss": 0.5723, + "step": 586 + }, + { + "epoch": 0.06, + "learning_rate": 1.824214915218892e-05, + "loss": 0.5594, + "step": 587 + }, + { + "epoch": 0.07, + "learning_rate": 1.824701979583601e-05, + "loss": 0.5926, + "step": 588 + }, + { + "epoch": 0.07, + "learning_rate": 1.8251882163109284e-05, + "loss": 0.5349, + "step": 589 + }, + { + "epoch": 0.07, + "learning_rate": 1.8256736282088056e-05, + "loss": 0.6915, + "step": 590 + }, + { + "epoch": 0.07, + "learning_rate": 1.8261582180708993e-05, + "loss": 0.4715, + "step": 591 + }, + { + "epoch": 0.07, + "learning_rate": 1.8266419886767074e-05, + "loss": 0.5545, + "step": 592 + }, + { + "epoch": 0.07, + "learning_rate": 1.827124942791653e-05, + "loss": 0.6198, + "step": 593 + }, + { + "epoch": 0.07, + "learning_rate": 1.827607083167183e-05, + "loss": 0.5415, + "step": 594 + }, + { + "epoch": 0.07, + "learning_rate": 1.828088412540857e-05, + "loss": 0.5324, + "step": 595 + }, + { + "epoch": 0.07, + "learning_rate": 1.828568933636445e-05, + "loss": 0.5479, + "step": 596 + }, + { + "epoch": 0.07, + "learning_rate": 1.8290486491640188e-05, + "loss": 0.5772, + "step": 597 + }, + { + "epoch": 0.07, + "learning_rate": 1.829527561820041e-05, + "loss": 0.5854, + "step": 598 + }, + { + "epoch": 0.07, + "learning_rate": 1.8300056742874604e-05, + "loss": 0.5635, + "step": 599 + }, + { + "epoch": 0.07, + "learning_rate": 1.830482989235798e-05, + "loss": 0.6404, + "step": 600 + }, + { + "epoch": 0.07, + "learning_rate": 1.83095950932124e-05, + "loss": 0.5892, + "step": 601 + }, + { + "epoch": 0.07, + "learning_rate": 1.8314352371867224e-05, + "loss": 0.6366, + "step": 602 + }, + { + "epoch": 0.07, + "learning_rate": 1.8319101754620248e-05, + "loss": 0.6138, + "step": 603 + }, + { + "epoch": 0.07, + "learning_rate": 1.8323843267638505e-05, + "loss": 0.5147, + "step": 604 + }, + { + "epoch": 0.07, + "learning_rate": 1.832857693695919e-05, + "loss": 0.5888, + "step": 605 + }, + { + "epoch": 0.07, + "learning_rate": 1.8333302788490487e-05, + "loss": 0.672, + "step": 606 + }, + { + "epoch": 0.07, + "learning_rate": 1.833802084801243e-05, + "loss": 0.4773, + "step": 607 + }, + { + "epoch": 0.07, + "learning_rate": 1.8342731141177737e-05, + "loss": 0.5332, + "step": 608 + }, + { + "epoch": 0.07, + "learning_rate": 1.8347433693512668e-05, + "loss": 0.5666, + "step": 609 + }, + { + "epoch": 0.07, + "learning_rate": 1.8352128530417822e-05, + "loss": 0.5428, + "step": 610 + }, + { + "epoch": 0.07, + "learning_rate": 1.8356815677168995e-05, + "loss": 0.6383, + "step": 611 + }, + { + "epoch": 0.07, + "learning_rate": 1.8361495158917974e-05, + "loss": 0.5916, + "step": 612 + }, + { + "epoch": 0.07, + "learning_rate": 1.836616700069335e-05, + "loss": 0.559, + "step": 613 + }, + { + "epoch": 0.07, + "learning_rate": 1.8370831227401335e-05, + "loss": 0.6618, + "step": 614 + }, + { + "epoch": 0.07, + "learning_rate": 1.837548786382654e-05, + "loss": 0.4864, + "step": 615 + }, + { + "epoch": 0.07, + "learning_rate": 1.8380136934632775e-05, + "loss": 0.5692, + "step": 616 + }, + { + "epoch": 0.07, + "learning_rate": 1.8384778464363838e-05, + "loss": 0.6196, + "step": 617 + }, + { + "epoch": 0.07, + "learning_rate": 1.838941247744427e-05, + "loss": 0.5436, + "step": 618 + }, + { + "epoch": 0.07, + "learning_rate": 1.8394038998180157e-05, + "loss": 0.5265, + "step": 619 + }, + { + "epoch": 0.07, + "learning_rate": 1.8398658050759878e-05, + "loss": 0.6003, + "step": 620 + }, + { + "epoch": 0.07, + "learning_rate": 1.8403269659254856e-05, + "loss": 0.5108, + "step": 621 + }, + { + "epoch": 0.07, + "learning_rate": 1.840787384762033e-05, + "loss": 0.5015, + "step": 622 + }, + { + "epoch": 0.07, + "learning_rate": 1.8412470639696095e-05, + "loss": 0.6533, + "step": 623 + }, + { + "epoch": 0.07, + "learning_rate": 1.8417060059207224e-05, + "loss": 0.6115, + "step": 624 + }, + { + "epoch": 0.07, + "learning_rate": 1.8421642129764832e-05, + "loss": 0.5432, + "step": 625 + }, + { + "epoch": 0.07, + "learning_rate": 1.8426216874866786e-05, + "loss": 0.5331, + "step": 626 + }, + { + "epoch": 0.07, + "learning_rate": 1.8430784317898437e-05, + "loss": 0.5382, + "step": 627 + }, + { + "epoch": 0.07, + "learning_rate": 1.843534448213333e-05, + "loss": 0.6126, + "step": 628 + }, + { + "epoch": 0.07, + "learning_rate": 1.8439897390733918e-05, + "loss": 0.6061, + "step": 629 + }, + { + "epoch": 0.07, + "learning_rate": 1.8444443066752268e-05, + "loss": 0.5347, + "step": 630 + }, + { + "epoch": 0.07, + "learning_rate": 1.8448981533130764e-05, + "loss": 0.5998, + "step": 631 + }, + { + "epoch": 0.07, + "learning_rate": 1.8453512812702815e-05, + "loss": 0.6217, + "step": 632 + }, + { + "epoch": 0.07, + "learning_rate": 1.8458036928193493e-05, + "loss": 0.6084, + "step": 633 + }, + { + "epoch": 0.07, + "learning_rate": 1.8462553902220295e-05, + "loss": 0.6052, + "step": 634 + }, + { + "epoch": 0.07, + "learning_rate": 1.8467063757293747e-05, + "loss": 0.5867, + "step": 635 + }, + { + "epoch": 0.07, + "learning_rate": 1.8471566515818126e-05, + "loss": 0.5124, + "step": 636 + }, + { + "epoch": 0.07, + "learning_rate": 1.8476062200092106e-05, + "loss": 0.5347, + "step": 637 + }, + { + "epoch": 0.07, + "learning_rate": 1.8480550832309428e-05, + "loss": 0.4434, + "step": 638 + }, + { + "epoch": 0.07, + "learning_rate": 1.848503243455956e-05, + "loss": 0.5091, + "step": 639 + }, + { + "epoch": 0.07, + "learning_rate": 1.848950702882833e-05, + "loss": 0.6109, + "step": 640 + }, + { + "epoch": 0.07, + "learning_rate": 1.8493974636998607e-05, + "loss": 0.5553, + "step": 641 + }, + { + "epoch": 0.07, + "learning_rate": 1.8498435280850905e-05, + "loss": 0.5138, + "step": 642 + }, + { + "epoch": 0.07, + "learning_rate": 1.8502888982064052e-05, + "loss": 0.5738, + "step": 643 + }, + { + "epoch": 0.07, + "learning_rate": 1.8507335762215805e-05, + "loss": 0.678, + "step": 644 + }, + { + "epoch": 0.07, + "learning_rate": 1.851177564278348e-05, + "loss": 0.6633, + "step": 645 + }, + { + "epoch": 0.07, + "learning_rate": 1.851620864514458e-05, + "loss": 0.5743, + "step": 646 + }, + { + "epoch": 0.07, + "learning_rate": 1.852063479057741e-05, + "loss": 0.627, + "step": 647 + }, + { + "epoch": 0.07, + "learning_rate": 1.8525054100261668e-05, + "loss": 0.5223, + "step": 648 + }, + { + "epoch": 0.07, + "learning_rate": 1.8529466595279105e-05, + "loss": 0.5496, + "step": 649 + }, + { + "epoch": 0.07, + "learning_rate": 1.8533872296614074e-05, + "loss": 0.5397, + "step": 650 + }, + { + "epoch": 0.07, + "learning_rate": 1.853827122515416e-05, + "loss": 0.6475, + "step": 651 + }, + { + "epoch": 0.07, + "learning_rate": 1.854266340169077e-05, + "loss": 0.5568, + "step": 652 + }, + { + "epoch": 0.07, + "learning_rate": 1.8547048846919697e-05, + "loss": 0.4805, + "step": 653 + }, + { + "epoch": 0.07, + "learning_rate": 1.8551427581441756e-05, + "loss": 0.5009, + "step": 654 + }, + { + "epoch": 0.07, + "learning_rate": 1.855579962576331e-05, + "loss": 0.5801, + "step": 655 + }, + { + "epoch": 0.07, + "learning_rate": 1.856016500029689e-05, + "loss": 0.5121, + "step": 656 + }, + { + "epoch": 0.07, + "learning_rate": 1.8564523725361738e-05, + "loss": 0.592, + "step": 657 + }, + { + "epoch": 0.07, + "learning_rate": 1.8568875821184388e-05, + "loss": 0.611, + "step": 658 + }, + { + "epoch": 0.07, + "learning_rate": 1.8573221307899222e-05, + "loss": 0.5959, + "step": 659 + }, + { + "epoch": 0.07, + "learning_rate": 1.8577560205549032e-05, + "loss": 0.6606, + "step": 660 + }, + { + "epoch": 0.07, + "learning_rate": 1.858189253408558e-05, + "loss": 0.4764, + "step": 661 + }, + { + "epoch": 0.07, + "learning_rate": 1.8586218313370146e-05, + "loss": 0.5953, + "step": 662 + }, + { + "epoch": 0.07, + "learning_rate": 1.8590537563174065e-05, + "loss": 0.6016, + "step": 663 + }, + { + "epoch": 0.07, + "learning_rate": 1.8594850303179282e-05, + "loss": 0.5572, + "step": 664 + }, + { + "epoch": 0.07, + "learning_rate": 1.8599156552978876e-05, + "loss": 0.5102, + "step": 665 + }, + { + "epoch": 0.07, + "learning_rate": 1.8603456332077616e-05, + "loss": 0.5478, + "step": 666 + }, + { + "epoch": 0.07, + "learning_rate": 1.8607749659892458e-05, + "loss": 0.6016, + "step": 667 + }, + { + "epoch": 0.07, + "learning_rate": 1.8612036555753115e-05, + "loss": 0.5237, + "step": 668 + }, + { + "epoch": 0.07, + "learning_rate": 1.8616317038902536e-05, + "loss": 0.5316, + "step": 669 + }, + { + "epoch": 0.07, + "learning_rate": 1.862059112849745e-05, + "loss": 0.5972, + "step": 670 + }, + { + "epoch": 0.07, + "learning_rate": 1.8624858843608874e-05, + "loss": 0.5405, + "step": 671 + }, + { + "epoch": 0.07, + "learning_rate": 1.8629120203222617e-05, + "loss": 0.5891, + "step": 672 + }, + { + "epoch": 0.07, + "learning_rate": 1.863337522623981e-05, + "loss": 0.5362, + "step": 673 + }, + { + "epoch": 0.07, + "learning_rate": 1.8637623931477364e-05, + "loss": 0.6735, + "step": 674 + }, + { + "epoch": 0.07, + "learning_rate": 1.864186633766852e-05, + "loss": 0.5537, + "step": 675 + }, + { + "epoch": 0.07, + "learning_rate": 1.864610246346332e-05, + "loss": 0.6418, + "step": 676 + }, + { + "epoch": 0.07, + "learning_rate": 1.8650332327429087e-05, + "loss": 0.571, + "step": 677 + }, + { + "epoch": 0.08, + "learning_rate": 1.865455594805094e-05, + "loss": 0.6115, + "step": 678 + }, + { + "epoch": 0.08, + "learning_rate": 1.865877334373226e-05, + "loss": 0.5727, + "step": 679 + }, + { + "epoch": 0.08, + "learning_rate": 1.8662984532795173e-05, + "loss": 0.5655, + "step": 680 + }, + { + "epoch": 0.08, + "learning_rate": 1.8667189533481045e-05, + "loss": 0.5199, + "step": 681 + }, + { + "epoch": 0.08, + "learning_rate": 1.8671388363950927e-05, + "loss": 0.5763, + "step": 682 + }, + { + "epoch": 0.08, + "learning_rate": 1.867558104228605e-05, + "loss": 0.4923, + "step": 683 + }, + { + "epoch": 0.08, + "learning_rate": 1.867976758648828e-05, + "loss": 0.5261, + "step": 684 + }, + { + "epoch": 0.08, + "learning_rate": 1.8683948014480588e-05, + "loss": 0.638, + "step": 685 + }, + { + "epoch": 0.08, + "learning_rate": 1.86881223441075e-05, + "loss": 0.5985, + "step": 686 + }, + { + "epoch": 0.08, + "learning_rate": 1.8692290593135573e-05, + "loss": 0.5623, + "step": 687 + }, + { + "epoch": 0.08, + "learning_rate": 1.8696452779253833e-05, + "loss": 0.523, + "step": 688 + }, + { + "epoch": 0.08, + "learning_rate": 1.870060892007422e-05, + "loss": 0.5482, + "step": 689 + }, + { + "epoch": 0.08, + "learning_rate": 1.870475903313206e-05, + "loss": 0.4766, + "step": 690 + }, + { + "epoch": 0.08, + "learning_rate": 1.870890313588648e-05, + "loss": 0.6158, + "step": 691 + }, + { + "epoch": 0.08, + "learning_rate": 1.871304124572087e-05, + "loss": 0.6187, + "step": 692 + }, + { + "epoch": 0.08, + "learning_rate": 1.8717173379943317e-05, + "loss": 0.5357, + "step": 693 + }, + { + "epoch": 0.08, + "learning_rate": 1.8721299555787025e-05, + "loss": 0.5169, + "step": 694 + }, + { + "epoch": 0.08, + "learning_rate": 1.8725419790410757e-05, + "loss": 0.5622, + "step": 695 + }, + { + "epoch": 0.08, + "learning_rate": 1.8729534100899273e-05, + "loss": 0.53, + "step": 696 + }, + { + "epoch": 0.08, + "learning_rate": 1.8733642504263736e-05, + "loss": 0.5975, + "step": 697 + }, + { + "epoch": 0.08, + "learning_rate": 1.873774501744214e-05, + "loss": 0.5779, + "step": 698 + }, + { + "epoch": 0.08, + "learning_rate": 1.8741841657299745e-05, + "loss": 0.4786, + "step": 699 + }, + { + "epoch": 0.08, + "learning_rate": 1.8745932440629467e-05, + "loss": 0.6542, + "step": 700 + }, + { + "epoch": 0.08, + "learning_rate": 1.875001738415231e-05, + "loss": 0.5146, + "step": 701 + }, + { + "epoch": 0.08, + "learning_rate": 1.8754096504517766e-05, + "loss": 0.604, + "step": 702 + }, + { + "epoch": 0.08, + "learning_rate": 1.8758169818304224e-05, + "loss": 0.479, + "step": 703 + }, + { + "epoch": 0.08, + "learning_rate": 1.8762237342019384e-05, + "loss": 0.6616, + "step": 704 + }, + { + "epoch": 0.08, + "learning_rate": 1.8766299092100644e-05, + "loss": 0.6592, + "step": 705 + }, + { + "epoch": 0.08, + "learning_rate": 1.8770355084915506e-05, + "loss": 0.6886, + "step": 706 + }, + { + "epoch": 0.08, + "learning_rate": 1.8774405336761978e-05, + "loss": 0.5432, + "step": 707 + }, + { + "epoch": 0.08, + "learning_rate": 1.8778449863868947e-05, + "loss": 0.6505, + "step": 708 + }, + { + "epoch": 0.08, + "learning_rate": 1.8782488682396592e-05, + "loss": 0.476, + "step": 709 + }, + { + "epoch": 0.08, + "learning_rate": 1.8786521808436764e-05, + "loss": 0.5446, + "step": 710 + }, + { + "epoch": 0.08, + "learning_rate": 1.8790549258013354e-05, + "loss": 0.6664, + "step": 711 + }, + { + "epoch": 0.08, + "learning_rate": 1.87945710470827e-05, + "loss": 0.5574, + "step": 712 + }, + { + "epoch": 0.08, + "learning_rate": 1.8798587191533954e-05, + "loss": 0.6143, + "step": 713 + }, + { + "epoch": 0.08, + "learning_rate": 1.880259770718946e-05, + "loss": 0.4909, + "step": 714 + }, + { + "epoch": 0.08, + "learning_rate": 1.8806602609805127e-05, + "loss": 0.5081, + "step": 715 + }, + { + "epoch": 0.08, + "learning_rate": 1.88106019150708e-05, + "loss": 0.7357, + "step": 716 + }, + { + "epoch": 0.08, + "learning_rate": 1.881459563861063e-05, + "loss": 0.6107, + "step": 717 + }, + { + "epoch": 0.08, + "learning_rate": 1.8818583795983444e-05, + "loss": 0.6173, + "step": 718 + }, + { + "epoch": 0.08, + "learning_rate": 1.8822566402683107e-05, + "loss": 0.5519, + "step": 719 + }, + { + "epoch": 0.08, + "learning_rate": 1.8826543474138874e-05, + "loss": 0.5967, + "step": 720 + }, + { + "epoch": 0.08, + "learning_rate": 1.8830515025715757e-05, + "loss": 0.6631, + "step": 721 + }, + { + "epoch": 0.08, + "learning_rate": 1.883448107271489e-05, + "loss": 0.5781, + "step": 722 + }, + { + "epoch": 0.08, + "learning_rate": 1.883844163037386e-05, + "loss": 0.5044, + "step": 723 + }, + { + "epoch": 0.08, + "learning_rate": 1.884239671386708e-05, + "loss": 0.5547, + "step": 724 + }, + { + "epoch": 0.08, + "learning_rate": 1.8846346338306127e-05, + "loss": 0.5502, + "step": 725 + }, + { + "epoch": 0.08, + "learning_rate": 1.885029051874008e-05, + "loss": 0.6264, + "step": 726 + }, + { + "epoch": 0.08, + "learning_rate": 1.8854229270155896e-05, + "loss": 0.5116, + "step": 727 + }, + { + "epoch": 0.08, + "learning_rate": 1.8858162607478712e-05, + "loss": 0.52, + "step": 728 + }, + { + "epoch": 0.08, + "learning_rate": 1.886209054557221e-05, + "loss": 0.5298, + "step": 729 + }, + { + "epoch": 0.08, + "learning_rate": 1.8866013099238943e-05, + "loss": 0.4926, + "step": 730 + }, + { + "epoch": 0.08, + "learning_rate": 1.8869930283220674e-05, + "loss": 0.5588, + "step": 731 + }, + { + "epoch": 0.08, + "learning_rate": 1.8873842112198713e-05, + "loss": 0.563, + "step": 732 + }, + { + "epoch": 0.08, + "learning_rate": 1.8877748600794234e-05, + "loss": 0.6594, + "step": 733 + }, + { + "epoch": 0.08, + "learning_rate": 1.8881649763568614e-05, + "loss": 0.5226, + "step": 734 + }, + { + "epoch": 0.08, + "learning_rate": 1.8885545615023756e-05, + "loss": 0.6022, + "step": 735 + }, + { + "epoch": 0.08, + "learning_rate": 1.8889436169602414e-05, + "loss": 0.5227, + "step": 736 + }, + { + "epoch": 0.08, + "learning_rate": 1.88933214416885e-05, + "loss": 0.5387, + "step": 737 + }, + { + "epoch": 0.08, + "learning_rate": 1.8897201445607434e-05, + "loss": 0.5915, + "step": 738 + }, + { + "epoch": 0.08, + "learning_rate": 1.8901076195626425e-05, + "loss": 0.5569, + "step": 739 + }, + { + "epoch": 0.08, + "learning_rate": 1.8904945705954815e-05, + "loss": 0.5893, + "step": 740 + }, + { + "epoch": 0.08, + "learning_rate": 1.8908809990744374e-05, + "loss": 0.7267, + "step": 741 + }, + { + "epoch": 0.08, + "learning_rate": 1.8912669064089614e-05, + "loss": 0.5155, + "step": 742 + }, + { + "epoch": 0.08, + "learning_rate": 1.8916522940028106e-05, + "loss": 0.5948, + "step": 743 + }, + { + "epoch": 0.08, + "learning_rate": 1.892037163254077e-05, + "loss": 0.6248, + "step": 744 + }, + { + "epoch": 0.08, + "learning_rate": 1.8924215155552195e-05, + "loss": 0.5941, + "step": 745 + }, + { + "epoch": 0.08, + "learning_rate": 1.892805352293094e-05, + "loss": 0.6155, + "step": 746 + }, + { + "epoch": 0.08, + "learning_rate": 1.893188674848982e-05, + "loss": 0.5998, + "step": 747 + }, + { + "epoch": 0.08, + "learning_rate": 1.8935714845986225e-05, + "loss": 0.5143, + "step": 748 + }, + { + "epoch": 0.08, + "learning_rate": 1.8939537829122393e-05, + "loss": 0.5061, + "step": 749 + }, + { + "epoch": 0.08, + "learning_rate": 1.8943355711545724e-05, + "loss": 0.5329, + "step": 750 + }, + { + "epoch": 0.08, + "learning_rate": 1.8947168506849062e-05, + "loss": 0.5916, + "step": 751 + }, + { + "epoch": 0.08, + "learning_rate": 1.8950976228570993e-05, + "loss": 0.548, + "step": 752 + }, + { + "epoch": 0.08, + "learning_rate": 1.895477889019612e-05, + "loss": 0.4907, + "step": 753 + }, + { + "epoch": 0.08, + "learning_rate": 1.895857650515537e-05, + "loss": 0.5079, + "step": 754 + }, + { + "epoch": 0.08, + "learning_rate": 1.896236908682625e-05, + "loss": 0.5098, + "step": 755 + }, + { + "epoch": 0.08, + "learning_rate": 1.896615664853316e-05, + "loss": 0.4594, + "step": 756 + }, + { + "epoch": 0.08, + "learning_rate": 1.8969939203547655e-05, + "loss": 0.5806, + "step": 757 + }, + { + "epoch": 0.08, + "learning_rate": 1.8973716765088735e-05, + "loss": 0.6079, + "step": 758 + }, + { + "epoch": 0.08, + "learning_rate": 1.897748934632311e-05, + "loss": 0.5077, + "step": 759 + }, + { + "epoch": 0.08, + "learning_rate": 1.8981256960365485e-05, + "loss": 0.5296, + "step": 760 + }, + { + "epoch": 0.08, + "learning_rate": 1.8985019620278823e-05, + "loss": 0.6851, + "step": 761 + }, + { + "epoch": 0.08, + "learning_rate": 1.8988777339074638e-05, + "loss": 0.6319, + "step": 762 + }, + { + "epoch": 0.08, + "learning_rate": 1.8992530129713243e-05, + "loss": 0.5372, + "step": 763 + }, + { + "epoch": 0.08, + "learning_rate": 1.8996278005104024e-05, + "loss": 0.5867, + "step": 764 + }, + { + "epoch": 0.08, + "learning_rate": 1.9000020978105715e-05, + "loss": 0.6044, + "step": 765 + }, + { + "epoch": 0.08, + "learning_rate": 1.900375906152665e-05, + "loss": 0.5627, + "step": 766 + }, + { + "epoch": 0.08, + "learning_rate": 1.9007492268125042e-05, + "loss": 0.5097, + "step": 767 + }, + { + "epoch": 0.09, + "learning_rate": 1.9011220610609226e-05, + "loss": 0.5212, + "step": 768 + }, + { + "epoch": 0.09, + "learning_rate": 1.9014944101637926e-05, + "loss": 0.6166, + "step": 769 + }, + { + "epoch": 0.09, + "learning_rate": 1.901866275382052e-05, + "loss": 0.5024, + "step": 770 + }, + { + "epoch": 0.09, + "learning_rate": 1.902237657971729e-05, + "loss": 0.5071, + "step": 771 + }, + { + "epoch": 0.09, + "learning_rate": 1.9026085591839684e-05, + "loss": 0.6557, + "step": 772 + }, + { + "epoch": 0.09, + "learning_rate": 1.9029789802650537e-05, + "loss": 0.562, + "step": 773 + }, + { + "epoch": 0.09, + "learning_rate": 1.9033489224564375e-05, + "loss": 0.5133, + "step": 774 + }, + { + "epoch": 0.09, + "learning_rate": 1.9037183869947623e-05, + "loss": 0.6013, + "step": 775 + }, + { + "epoch": 0.09, + "learning_rate": 1.9040873751118865e-05, + "loss": 0.6638, + "step": 776 + }, + { + "epoch": 0.09, + "learning_rate": 1.9044558880349103e-05, + "loss": 0.6636, + "step": 777 + }, + { + "epoch": 0.09, + "learning_rate": 1.904823926986198e-05, + "loss": 0.685, + "step": 778 + }, + { + "epoch": 0.09, + "learning_rate": 1.9051914931834045e-05, + "loss": 0.6968, + "step": 779 + }, + { + "epoch": 0.09, + "learning_rate": 1.905558587839497e-05, + "loss": 0.5774, + "step": 780 + }, + { + "epoch": 0.09, + "learning_rate": 1.9059252121627813e-05, + "loss": 0.5404, + "step": 781 + }, + { + "epoch": 0.09, + "learning_rate": 1.9062913673569255e-05, + "loss": 0.6217, + "step": 782 + }, + { + "epoch": 0.09, + "learning_rate": 1.9066570546209812e-05, + "loss": 0.5761, + "step": 783 + }, + { + "epoch": 0.09, + "learning_rate": 1.9070222751494108e-05, + "loss": 0.5555, + "step": 784 + }, + { + "epoch": 0.09, + "learning_rate": 1.9073870301321073e-05, + "loss": 0.6557, + "step": 785 + }, + { + "epoch": 0.09, + "learning_rate": 1.9077513207544204e-05, + "loss": 0.5696, + "step": 786 + }, + { + "epoch": 0.09, + "learning_rate": 1.9081151481971775e-05, + "loss": 0.6528, + "step": 787 + }, + { + "epoch": 0.09, + "learning_rate": 1.908478513636709e-05, + "loss": 0.5664, + "step": 788 + }, + { + "epoch": 0.09, + "learning_rate": 1.9088414182448678e-05, + "loss": 0.5856, + "step": 789 + }, + { + "epoch": 0.09, + "learning_rate": 1.9092038631890556e-05, + "loss": 0.4703, + "step": 790 + }, + { + "epoch": 0.09, + "learning_rate": 1.909565849632243e-05, + "loss": 0.5374, + "step": 791 + }, + { + "epoch": 0.09, + "learning_rate": 1.9099273787329923e-05, + "loss": 0.5803, + "step": 792 + }, + { + "epoch": 0.09, + "learning_rate": 1.9102884516454808e-05, + "loss": 0.5239, + "step": 793 + }, + { + "epoch": 0.09, + "learning_rate": 1.910649069519522e-05, + "loss": 0.6133, + "step": 794 + }, + { + "epoch": 0.09, + "learning_rate": 1.911009233500587e-05, + "loss": 0.6118, + "step": 795 + }, + { + "epoch": 0.09, + "learning_rate": 1.9113689447298282e-05, + "loss": 0.5423, + "step": 796 + }, + { + "epoch": 0.09, + "learning_rate": 1.911728204344099e-05, + "loss": 0.51, + "step": 797 + }, + { + "epoch": 0.09, + "learning_rate": 1.912087013475977e-05, + "loss": 0.6124, + "step": 798 + }, + { + "epoch": 0.09, + "learning_rate": 1.9124453732537838e-05, + "loss": 0.5296, + "step": 799 + }, + { + "epoch": 0.09, + "learning_rate": 1.9128032848016076e-05, + "loss": 0.4643, + "step": 800 + }, + { + "epoch": 0.09, + "learning_rate": 1.9131607492393243e-05, + "loss": 0.5173, + "step": 801 + }, + { + "epoch": 0.09, + "learning_rate": 1.9135177676826172e-05, + "loss": 0.4745, + "step": 802 + }, + { + "epoch": 0.09, + "learning_rate": 1.9138743412429993e-05, + "loss": 0.5671, + "step": 803 + }, + { + "epoch": 0.09, + "learning_rate": 1.9142304710278342e-05, + "loss": 0.514, + "step": 804 + }, + { + "epoch": 0.09, + "learning_rate": 1.914586158140355e-05, + "loss": 0.466, + "step": 805 + }, + { + "epoch": 0.09, + "learning_rate": 1.914941403679686e-05, + "loss": 0.5048, + "step": 806 + }, + { + "epoch": 0.09, + "learning_rate": 1.9152962087408647e-05, + "loss": 0.5695, + "step": 807 + }, + { + "epoch": 0.09, + "learning_rate": 1.915650574414858e-05, + "loss": 0.5277, + "step": 808 + }, + { + "epoch": 0.09, + "learning_rate": 1.9160045017885866e-05, + "loss": 0.5398, + "step": 809 + }, + { + "epoch": 0.09, + "learning_rate": 1.9163579919449412e-05, + "loss": 0.5664, + "step": 810 + }, + { + "epoch": 0.09, + "learning_rate": 1.9167110459628062e-05, + "loss": 0.4494, + "step": 811 + }, + { + "epoch": 0.09, + "learning_rate": 1.917063664917076e-05, + "loss": 0.5574, + "step": 812 + }, + { + "epoch": 0.09, + "learning_rate": 1.917415849878677e-05, + "loss": 0.615, + "step": 813 + }, + { + "epoch": 0.09, + "learning_rate": 1.9177676019145864e-05, + "loss": 0.5889, + "step": 814 + }, + { + "epoch": 0.09, + "learning_rate": 1.918118922087851e-05, + "loss": 0.6692, + "step": 815 + }, + { + "epoch": 0.09, + "learning_rate": 1.9184698114576067e-05, + "loss": 0.4962, + "step": 816 + }, + { + "epoch": 0.09, + "learning_rate": 1.9188202710790983e-05, + "loss": 0.5639, + "step": 817 + }, + { + "epoch": 0.09, + "learning_rate": 1.9191703020036984e-05, + "loss": 0.5284, + "step": 818 + }, + { + "epoch": 0.09, + "learning_rate": 1.9195199052789254e-05, + "loss": 0.5339, + "step": 819 + }, + { + "epoch": 0.09, + "learning_rate": 1.9198690819484636e-05, + "loss": 0.4636, + "step": 820 + }, + { + "epoch": 0.09, + "learning_rate": 1.9202178330521808e-05, + "loss": 0.5218, + "step": 821 + }, + { + "epoch": 0.09, + "learning_rate": 1.920566159626148e-05, + "loss": 0.6344, + "step": 822 + }, + { + "epoch": 0.09, + "learning_rate": 1.9209140627026563e-05, + "loss": 0.5667, + "step": 823 + }, + { + "epoch": 0.09, + "learning_rate": 1.9212615433102367e-05, + "loss": 0.611, + "step": 824 + }, + { + "epoch": 0.09, + "learning_rate": 1.9216086024736776e-05, + "loss": 0.4769, + "step": 825 + }, + { + "epoch": 0.09, + "learning_rate": 1.9219552412140435e-05, + "loss": 0.5308, + "step": 826 + }, + { + "epoch": 0.09, + "learning_rate": 1.922301460548693e-05, + "loss": 0.4541, + "step": 827 + }, + { + "epoch": 0.09, + "learning_rate": 1.9226472614912953e-05, + "loss": 0.5287, + "step": 828 + }, + { + "epoch": 0.09, + "learning_rate": 1.9229926450518496e-05, + "loss": 0.6206, + "step": 829 + }, + { + "epoch": 0.09, + "learning_rate": 1.9233376122367024e-05, + "loss": 0.4475, + "step": 830 + }, + { + "epoch": 0.09, + "learning_rate": 1.9236821640485656e-05, + "loss": 0.5013, + "step": 831 + }, + { + "epoch": 0.09, + "learning_rate": 1.9240263014865318e-05, + "loss": 0.5374, + "step": 832 + }, + { + "epoch": 0.09, + "learning_rate": 1.924370025546095e-05, + "loss": 0.5702, + "step": 833 + }, + { + "epoch": 0.09, + "learning_rate": 1.9247133372191648e-05, + "loss": 0.5122, + "step": 834 + }, + { + "epoch": 0.09, + "learning_rate": 1.9250562374940856e-05, + "loss": 0.49, + "step": 835 + }, + { + "epoch": 0.09, + "learning_rate": 1.9253987273556534e-05, + "loss": 0.5589, + "step": 836 + }, + { + "epoch": 0.09, + "learning_rate": 1.9257408077851308e-05, + "loss": 0.6109, + "step": 837 + }, + { + "epoch": 0.09, + "learning_rate": 1.9260824797602672e-05, + "loss": 0.5517, + "step": 838 + }, + { + "epoch": 0.09, + "learning_rate": 1.9264237442553128e-05, + "loss": 0.4914, + "step": 839 + }, + { + "epoch": 0.09, + "learning_rate": 1.926764602241036e-05, + "loss": 0.5253, + "step": 840 + }, + { + "epoch": 0.09, + "learning_rate": 1.9271050546847417e-05, + "loss": 0.5657, + "step": 841 + }, + { + "epoch": 0.09, + "learning_rate": 1.9274451025502843e-05, + "loss": 0.5267, + "step": 842 + }, + { + "epoch": 0.09, + "learning_rate": 1.9277847467980878e-05, + "loss": 0.58, + "step": 843 + }, + { + "epoch": 0.09, + "learning_rate": 1.9281239883851593e-05, + "loss": 0.5913, + "step": 844 + }, + { + "epoch": 0.09, + "learning_rate": 1.9284628282651064e-05, + "loss": 0.5344, + "step": 845 + }, + { + "epoch": 0.09, + "learning_rate": 1.9288012673881532e-05, + "loss": 0.6356, + "step": 846 + }, + { + "epoch": 0.09, + "learning_rate": 1.9291393067011572e-05, + "loss": 0.45, + "step": 847 + }, + { + "epoch": 0.09, + "learning_rate": 1.9294769471476223e-05, + "loss": 0.6107, + "step": 848 + }, + { + "epoch": 0.09, + "learning_rate": 1.9298141896677175e-05, + "loss": 0.4996, + "step": 849 + }, + { + "epoch": 0.09, + "learning_rate": 1.930151035198292e-05, + "loss": 0.584, + "step": 850 + }, + { + "epoch": 0.09, + "learning_rate": 1.9304874846728897e-05, + "loss": 0.6309, + "step": 851 + }, + { + "epoch": 0.09, + "learning_rate": 1.9308235390217655e-05, + "loss": 0.6416, + "step": 852 + }, + { + "epoch": 0.09, + "learning_rate": 1.9311591991719014e-05, + "loss": 0.6958, + "step": 853 + }, + { + "epoch": 0.09, + "learning_rate": 1.9314944660470204e-05, + "loss": 0.6886, + "step": 854 + }, + { + "epoch": 0.09, + "learning_rate": 1.9318293405676024e-05, + "loss": 0.54, + "step": 855 + }, + { + "epoch": 0.09, + "learning_rate": 1.9321638236509e-05, + "loss": 0.5848, + "step": 856 + }, + { + "epoch": 0.09, + "learning_rate": 1.9324979162109527e-05, + "loss": 0.5129, + "step": 857 + }, + { + "epoch": 0.09, + "learning_rate": 1.9328316191586018e-05, + "loss": 0.5278, + "step": 858 + }, + { + "epoch": 0.1, + "learning_rate": 1.9331649334015066e-05, + "loss": 0.5565, + "step": 859 + }, + { + "epoch": 0.1, + "learning_rate": 1.9334978598441574e-05, + "loss": 0.5509, + "step": 860 + }, + { + "epoch": 0.1, + "learning_rate": 1.933830399387892e-05, + "loss": 0.6004, + "step": 861 + }, + { + "epoch": 0.1, + "learning_rate": 1.9341625529309086e-05, + "loss": 0.4839, + "step": 862 + }, + { + "epoch": 0.1, + "learning_rate": 1.934494321368282e-05, + "loss": 0.6729, + "step": 863 + }, + { + "epoch": 0.1, + "learning_rate": 1.9348257055919765e-05, + "loss": 0.7358, + "step": 864 + }, + { + "epoch": 0.1, + "learning_rate": 1.9351567064908615e-05, + "loss": 0.6498, + "step": 865 + }, + { + "epoch": 0.1, + "learning_rate": 1.935487324950726e-05, + "loss": 0.5382, + "step": 866 + }, + { + "epoch": 0.1, + "learning_rate": 1.9358175618542908e-05, + "loss": 0.6059, + "step": 867 + }, + { + "epoch": 0.1, + "learning_rate": 1.9361474180812257e-05, + "loss": 0.5741, + "step": 868 + }, + { + "epoch": 0.1, + "learning_rate": 1.936476894508161e-05, + "loss": 0.5797, + "step": 869 + }, + { + "epoch": 0.1, + "learning_rate": 1.9368059920087018e-05, + "loss": 0.545, + "step": 870 + }, + { + "epoch": 0.1, + "learning_rate": 1.9371347114534437e-05, + "loss": 0.5491, + "step": 871 + }, + { + "epoch": 0.1, + "learning_rate": 1.937463053709985e-05, + "loss": 0.5076, + "step": 872 + }, + { + "epoch": 0.1, + "learning_rate": 1.9377910196429407e-05, + "loss": 0.5917, + "step": 873 + }, + { + "epoch": 0.1, + "learning_rate": 1.938118610113956e-05, + "loss": 0.5497, + "step": 874 + }, + { + "epoch": 0.1, + "learning_rate": 1.9384458259817215e-05, + "loss": 0.6793, + "step": 875 + }, + { + "epoch": 0.1, + "learning_rate": 1.9387726681019835e-05, + "loss": 0.4993, + "step": 876 + }, + { + "epoch": 0.1, + "learning_rate": 1.939099137327561e-05, + "loss": 0.5295, + "step": 877 + }, + { + "epoch": 0.1, + "learning_rate": 1.939425234508356e-05, + "loss": 0.4824, + "step": 878 + }, + { + "epoch": 0.1, + "learning_rate": 1.9397509604913695e-05, + "loss": 0.5977, + "step": 879 + }, + { + "epoch": 0.1, + "learning_rate": 1.9400763161207125e-05, + "loss": 0.6274, + "step": 880 + }, + { + "epoch": 0.1, + "learning_rate": 1.9404013022376203e-05, + "loss": 0.5221, + "step": 881 + }, + { + "epoch": 0.1, + "learning_rate": 1.940725919680465e-05, + "loss": 0.6946, + "step": 882 + }, + { + "epoch": 0.1, + "learning_rate": 1.941050169284768e-05, + "loss": 0.546, + "step": 883 + }, + { + "epoch": 0.1, + "learning_rate": 1.9413740518832162e-05, + "loss": 0.5479, + "step": 884 + }, + { + "epoch": 0.1, + "learning_rate": 1.941697568305669e-05, + "loss": 0.5372, + "step": 885 + }, + { + "epoch": 0.1, + "learning_rate": 1.9420207193791767e-05, + "loss": 0.6651, + "step": 886 + }, + { + "epoch": 0.1, + "learning_rate": 1.942343505927989e-05, + "loss": 0.5742, + "step": 887 + }, + { + "epoch": 0.1, + "learning_rate": 1.942665928773571e-05, + "loss": 0.5632, + "step": 888 + }, + { + "epoch": 0.1, + "learning_rate": 1.942987988734613e-05, + "loss": 0.523, + "step": 889 + }, + { + "epoch": 0.1, + "learning_rate": 1.9433096866270446e-05, + "loss": 0.5778, + "step": 890 + }, + { + "epoch": 0.1, + "learning_rate": 1.943631023264046e-05, + "loss": 0.5577, + "step": 891 + }, + { + "epoch": 0.1, + "learning_rate": 1.9439519994560633e-05, + "loss": 0.5668, + "step": 892 + }, + { + "epoch": 0.1, + "learning_rate": 1.9442726160108143e-05, + "loss": 0.577, + "step": 893 + }, + { + "epoch": 0.1, + "learning_rate": 1.9445928737333086e-05, + "loss": 0.5414, + "step": 894 + }, + { + "epoch": 0.1, + "learning_rate": 1.9449127734258544e-05, + "loss": 0.5642, + "step": 895 + }, + { + "epoch": 0.1, + "learning_rate": 1.9452323158880714e-05, + "loss": 0.4692, + "step": 896 + }, + { + "epoch": 0.1, + "learning_rate": 1.9455515019169048e-05, + "loss": 0.5937, + "step": 897 + }, + { + "epoch": 0.1, + "learning_rate": 1.9458703323066354e-05, + "loss": 0.5872, + "step": 898 + }, + { + "epoch": 0.1, + "learning_rate": 1.946188807848891e-05, + "loss": 0.663, + "step": 899 + }, + { + "epoch": 0.1, + "learning_rate": 1.9465069293326618e-05, + "loss": 0.5017, + "step": 900 + }, + { + "epoch": 0.1, + "learning_rate": 1.9468246975443064e-05, + "loss": 0.5342, + "step": 901 + }, + { + "epoch": 0.1, + "learning_rate": 1.947142113267569e-05, + "loss": 0.5632, + "step": 902 + }, + { + "epoch": 0.1, + "learning_rate": 1.9474591772835863e-05, + "loss": 0.4631, + "step": 903 + }, + { + "epoch": 0.1, + "learning_rate": 1.9477758903709033e-05, + "loss": 0.6126, + "step": 904 + }, + { + "epoch": 0.1, + "learning_rate": 1.9480922533054824e-05, + "loss": 0.5612, + "step": 905 + }, + { + "epoch": 0.1, + "learning_rate": 1.948408266860714e-05, + "loss": 0.5185, + "step": 906 + }, + { + "epoch": 0.1, + "learning_rate": 1.94872393180743e-05, + "loss": 0.5644, + "step": 907 + }, + { + "epoch": 0.1, + "learning_rate": 1.9490392489139142e-05, + "loss": 0.5495, + "step": 908 + }, + { + "epoch": 0.1, + "learning_rate": 1.9493542189459126e-05, + "loss": 0.5032, + "step": 909 + }, + { + "epoch": 0.1, + "learning_rate": 1.9496688426666457e-05, + "loss": 0.5629, + "step": 910 + }, + { + "epoch": 0.1, + "learning_rate": 1.94998312083682e-05, + "loss": 0.5827, + "step": 911 + }, + { + "epoch": 0.1, + "learning_rate": 1.9502970542146373e-05, + "loss": 0.5158, + "step": 912 + }, + { + "epoch": 0.1, + "learning_rate": 1.9506106435558073e-05, + "loss": 0.462, + "step": 913 + }, + { + "epoch": 0.1, + "learning_rate": 1.950923889613558e-05, + "loss": 0.5499, + "step": 914 + }, + { + "epoch": 0.1, + "learning_rate": 1.9512367931386457e-05, + "loss": 0.4793, + "step": 915 + }, + { + "epoch": 0.1, + "learning_rate": 1.951549354879367e-05, + "loss": 0.513, + "step": 916 + }, + { + "epoch": 0.1, + "learning_rate": 1.9518615755815692e-05, + "loss": 0.5302, + "step": 917 + }, + { + "epoch": 0.1, + "learning_rate": 1.952173455988661e-05, + "loss": 0.5056, + "step": 918 + }, + { + "epoch": 0.1, + "learning_rate": 1.9524849968416218e-05, + "loss": 0.5831, + "step": 919 + }, + { + "epoch": 0.1, + "learning_rate": 1.9527961988790155e-05, + "loss": 0.5253, + "step": 920 + }, + { + "epoch": 0.1, + "learning_rate": 1.9531070628369974e-05, + "loss": 0.5206, + "step": 921 + }, + { + "epoch": 0.1, + "learning_rate": 1.9534175894493262e-05, + "loss": 0.4893, + "step": 922 + }, + { + "epoch": 0.1, + "learning_rate": 1.953727779447375e-05, + "loss": 0.5572, + "step": 923 + }, + { + "epoch": 0.1, + "learning_rate": 1.954037633560141e-05, + "loss": 0.6272, + "step": 924 + }, + { + "epoch": 0.1, + "learning_rate": 1.9543471525142563e-05, + "loss": 0.7271, + "step": 925 + }, + { + "epoch": 0.1, + "learning_rate": 1.9546563370339954e-05, + "loss": 0.5964, + "step": 926 + }, + { + "epoch": 0.1, + "learning_rate": 1.9549651878412905e-05, + "loss": 0.5544, + "step": 927 + }, + { + "epoch": 0.1, + "learning_rate": 1.955273705655737e-05, + "loss": 0.5391, + "step": 928 + }, + { + "epoch": 0.1, + "learning_rate": 1.9555818911946048e-05, + "loss": 0.5657, + "step": 929 + }, + { + "epoch": 0.1, + "learning_rate": 1.955889745172851e-05, + "loss": 0.5539, + "step": 930 + }, + { + "epoch": 0.1, + "learning_rate": 1.9561972683031258e-05, + "loss": 0.4851, + "step": 931 + }, + { + "epoch": 0.1, + "learning_rate": 1.9565044612957842e-05, + "loss": 0.4433, + "step": 932 + }, + { + "epoch": 0.1, + "learning_rate": 1.956811324858897e-05, + "loss": 0.5952, + "step": 933 + }, + { + "epoch": 0.1, + "learning_rate": 1.9571178596982583e-05, + "loss": 0.5714, + "step": 934 + }, + { + "epoch": 0.1, + "learning_rate": 1.957424066517397e-05, + "loss": 0.6526, + "step": 935 + }, + { + "epoch": 0.1, + "learning_rate": 1.9577299460175857e-05, + "loss": 0.503, + "step": 936 + }, + { + "epoch": 0.1, + "learning_rate": 1.9580354988978516e-05, + "loss": 0.5352, + "step": 937 + }, + { + "epoch": 0.1, + "learning_rate": 1.9583407258549833e-05, + "loss": 0.5015, + "step": 938 + }, + { + "epoch": 0.1, + "learning_rate": 1.9586456275835425e-05, + "loss": 0.576, + "step": 939 + }, + { + "epoch": 0.1, + "learning_rate": 1.9589502047758738e-05, + "loss": 0.5655, + "step": 940 + }, + { + "epoch": 0.1, + "learning_rate": 1.959254458122113e-05, + "loss": 0.6119, + "step": 941 + }, + { + "epoch": 0.1, + "learning_rate": 1.9595583883101964e-05, + "loss": 0.4982, + "step": 942 + }, + { + "epoch": 0.1, + "learning_rate": 1.9598619960258715e-05, + "loss": 0.5453, + "step": 943 + }, + { + "epoch": 0.1, + "learning_rate": 1.960165281952704e-05, + "loss": 0.5986, + "step": 944 + }, + { + "epoch": 0.1, + "learning_rate": 1.9604682467720904e-05, + "loss": 0.5883, + "step": 945 + }, + { + "epoch": 0.1, + "learning_rate": 1.9607708911632627e-05, + "loss": 0.5241, + "step": 946 + }, + { + "epoch": 0.1, + "learning_rate": 1.961073215803302e-05, + "loss": 0.5183, + "step": 947 + }, + { + "epoch": 0.1, + "learning_rate": 1.9613752213671448e-05, + "loss": 0.5587, + "step": 948 + }, + { + "epoch": 0.11, + "learning_rate": 1.961676908527593e-05, + "loss": 0.6578, + "step": 949 + }, + { + "epoch": 0.11, + "learning_rate": 1.9619782779553226e-05, + "loss": 0.7167, + "step": 950 + }, + { + "epoch": 0.11, + "learning_rate": 1.962279330318893e-05, + "loss": 0.5183, + "step": 951 + }, + { + "epoch": 0.11, + "learning_rate": 1.9625800662847555e-05, + "loss": 0.5041, + "step": 952 + }, + { + "epoch": 0.11, + "learning_rate": 1.9628804865172627e-05, + "loss": 0.608, + "step": 953 + }, + { + "epoch": 0.11, + "learning_rate": 1.9631805916786762e-05, + "loss": 0.6116, + "step": 954 + }, + { + "epoch": 0.11, + "learning_rate": 1.963480382429177e-05, + "loss": 0.4871, + "step": 955 + }, + { + "epoch": 0.11, + "learning_rate": 1.9637798594268725e-05, + "loss": 0.5091, + "step": 956 + }, + { + "epoch": 0.11, + "learning_rate": 1.9640790233278067e-05, + "loss": 0.4203, + "step": 957 + }, + { + "epoch": 0.11, + "learning_rate": 1.9643778747859677e-05, + "loss": 0.5176, + "step": 958 + }, + { + "epoch": 0.11, + "learning_rate": 1.9646764144532967e-05, + "loss": 0.5697, + "step": 959 + }, + { + "epoch": 0.11, + "learning_rate": 1.9649746429796967e-05, + "loss": 0.4757, + "step": 960 + }, + { + "epoch": 0.11, + "learning_rate": 1.965272561013041e-05, + "loss": 0.5244, + "step": 961 + }, + { + "epoch": 0.11, + "learning_rate": 1.9655701691991804e-05, + "loss": 0.4619, + "step": 962 + }, + { + "epoch": 0.11, + "learning_rate": 1.965867468181954e-05, + "loss": 0.5087, + "step": 963 + }, + { + "epoch": 0.11, + "learning_rate": 1.9661644586031957e-05, + "loss": 0.5439, + "step": 964 + }, + { + "epoch": 0.11, + "learning_rate": 1.9664611411027425e-05, + "loss": 0.6615, + "step": 965 + }, + { + "epoch": 0.11, + "learning_rate": 1.966757516318444e-05, + "loss": 0.6277, + "step": 966 + }, + { + "epoch": 0.11, + "learning_rate": 1.9670535848861698e-05, + "loss": 0.5698, + "step": 967 + }, + { + "epoch": 0.11, + "learning_rate": 1.9673493474398175e-05, + "loss": 0.5997, + "step": 968 + }, + { + "epoch": 0.11, + "learning_rate": 1.967644804611322e-05, + "loss": 0.587, + "step": 969 + }, + { + "epoch": 0.11, + "learning_rate": 1.967939957030661e-05, + "loss": 0.499, + "step": 970 + }, + { + "epoch": 0.11, + "learning_rate": 1.9682348053258668e-05, + "loss": 0.6183, + "step": 971 + }, + { + "epoch": 0.11, + "learning_rate": 1.9685293501230303e-05, + "loss": 0.5685, + "step": 972 + }, + { + "epoch": 0.11, + "learning_rate": 1.968823592046314e-05, + "loss": 0.5669, + "step": 973 + }, + { + "epoch": 0.11, + "learning_rate": 1.9691175317179538e-05, + "loss": 0.5533, + "step": 974 + }, + { + "epoch": 0.11, + "learning_rate": 1.9694111697582713e-05, + "loss": 0.5408, + "step": 975 + }, + { + "epoch": 0.11, + "learning_rate": 1.9697045067856807e-05, + "loss": 0.5257, + "step": 976 + }, + { + "epoch": 0.11, + "learning_rate": 1.9699975434166964e-05, + "loss": 0.6155, + "step": 977 + }, + { + "epoch": 0.11, + "learning_rate": 1.9702902802659405e-05, + "loss": 0.5503, + "step": 978 + }, + { + "epoch": 0.11, + "learning_rate": 1.9705827179461495e-05, + "loss": 0.5123, + "step": 979 + }, + { + "epoch": 0.11, + "learning_rate": 1.970874857068185e-05, + "loss": 0.5529, + "step": 980 + }, + { + "epoch": 0.11, + "learning_rate": 1.971166698241039e-05, + "loss": 0.5757, + "step": 981 + }, + { + "epoch": 0.11, + "learning_rate": 1.9714582420718416e-05, + "loss": 0.5112, + "step": 982 + }, + { + "epoch": 0.11, + "learning_rate": 1.9717494891658694e-05, + "loss": 0.5268, + "step": 983 + }, + { + "epoch": 0.11, + "learning_rate": 1.9720404401265527e-05, + "loss": 0.485, + "step": 984 + }, + { + "epoch": 0.11, + "learning_rate": 1.9723310955554834e-05, + "loss": 0.4899, + "step": 985 + }, + { + "epoch": 0.11, + "learning_rate": 1.972621456052421e-05, + "loss": 0.6616, + "step": 986 + }, + { + "epoch": 0.11, + "learning_rate": 1.9729115222153027e-05, + "loss": 0.4914, + "step": 987 + }, + { + "epoch": 0.11, + "learning_rate": 1.973201294640247e-05, + "loss": 0.6377, + "step": 988 + }, + { + "epoch": 0.11, + "learning_rate": 1.9734907739215657e-05, + "loss": 0.5301, + "step": 989 + }, + { + "epoch": 0.11, + "learning_rate": 1.9737799606517667e-05, + "loss": 0.5019, + "step": 990 + }, + { + "epoch": 0.11, + "learning_rate": 1.974068855421565e-05, + "loss": 0.4977, + "step": 991 + }, + { + "epoch": 0.11, + "learning_rate": 1.9743574588198863e-05, + "loss": 0.6344, + "step": 992 + }, + { + "epoch": 0.11, + "learning_rate": 1.9746457714338786e-05, + "loss": 0.5854, + "step": 993 + }, + { + "epoch": 0.11, + "learning_rate": 1.9749337938489146e-05, + "loss": 0.5709, + "step": 994 + }, + { + "epoch": 0.11, + "learning_rate": 1.9752215266486026e-05, + "loss": 0.5415, + "step": 995 + }, + { + "epoch": 0.11, + "learning_rate": 1.9755089704147918e-05, + "loss": 0.6277, + "step": 996 + }, + { + "epoch": 0.11, + "learning_rate": 1.9757961257275798e-05, + "loss": 0.5463, + "step": 997 + }, + { + "epoch": 0.11, + "learning_rate": 1.976082993165319e-05, + "loss": 0.5134, + "step": 998 + }, + { + "epoch": 0.11, + "learning_rate": 1.976369573304625e-05, + "loss": 0.5099, + "step": 999 + }, + { + "epoch": 0.11, + "learning_rate": 1.976655866720382e-05, + "loss": 0.535, + "step": 1000 + }, + { + "epoch": 0.11, + "learning_rate": 1.976941873985751e-05, + "loss": 0.5276, + "step": 1001 + }, + { + "epoch": 0.11, + "learning_rate": 1.977227595672175e-05, + "loss": 0.5035, + "step": 1002 + }, + { + "epoch": 0.11, + "learning_rate": 1.977513032349389e-05, + "loss": 0.5478, + "step": 1003 + }, + { + "epoch": 0.11, + "learning_rate": 1.9777981845854217e-05, + "loss": 0.5014, + "step": 1004 + }, + { + "epoch": 0.11, + "learning_rate": 1.9780830529466086e-05, + "loss": 0.5794, + "step": 1005 + }, + { + "epoch": 0.11, + "learning_rate": 1.9783676379975934e-05, + "loss": 0.567, + "step": 1006 + }, + { + "epoch": 0.11, + "learning_rate": 1.9786519403013373e-05, + "loss": 0.7006, + "step": 1007 + }, + { + "epoch": 0.11, + "learning_rate": 1.9789359604191256e-05, + "loss": 0.4786, + "step": 1008 + }, + { + "epoch": 0.11, + "learning_rate": 1.979219698910573e-05, + "loss": 0.5904, + "step": 1009 + }, + { + "epoch": 0.11, + "learning_rate": 1.9795031563336325e-05, + "loss": 0.5667, + "step": 1010 + }, + { + "epoch": 0.11, + "learning_rate": 1.9797863332446e-05, + "loss": 0.6686, + "step": 1011 + }, + { + "epoch": 0.11, + "learning_rate": 1.9800692301981205e-05, + "loss": 0.5095, + "step": 1012 + }, + { + "epoch": 0.11, + "learning_rate": 1.980351847747197e-05, + "loss": 0.5729, + "step": 1013 + }, + { + "epoch": 0.11, + "learning_rate": 1.980634186443196e-05, + "loss": 0.5886, + "step": 1014 + }, + { + "epoch": 0.11, + "learning_rate": 1.9809162468358506e-05, + "loss": 0.6236, + "step": 1015 + }, + { + "epoch": 0.11, + "learning_rate": 1.9811980294732735e-05, + "loss": 0.4832, + "step": 1016 + }, + { + "epoch": 0.11, + "learning_rate": 1.9814795349019575e-05, + "loss": 0.6888, + "step": 1017 + }, + { + "epoch": 0.11, + "learning_rate": 1.9817607636667853e-05, + "loss": 0.5763, + "step": 1018 + }, + { + "epoch": 0.11, + "learning_rate": 1.9820417163110337e-05, + "loss": 0.4923, + "step": 1019 + }, + { + "epoch": 0.11, + "learning_rate": 1.982322393376381e-05, + "loss": 0.5164, + "step": 1020 + }, + { + "epoch": 0.11, + "learning_rate": 1.982602795402914e-05, + "loss": 0.5462, + "step": 1021 + }, + { + "epoch": 0.11, + "learning_rate": 1.9828829229291326e-05, + "loss": 0.5729, + "step": 1022 + }, + { + "epoch": 0.11, + "learning_rate": 1.9831627764919563e-05, + "loss": 0.554, + "step": 1023 + }, + { + "epoch": 0.11, + "learning_rate": 1.983442356626732e-05, + "loss": 0.5888, + "step": 1024 + }, + { + "epoch": 0.11, + "learning_rate": 1.983721663867238e-05, + "loss": 0.5254, + "step": 1025 + }, + { + "epoch": 0.11, + "learning_rate": 1.9840006987456918e-05, + "loss": 0.6068, + "step": 1026 + }, + { + "epoch": 0.11, + "learning_rate": 1.9842794617927543e-05, + "loss": 0.6173, + "step": 1027 + }, + { + "epoch": 0.11, + "learning_rate": 1.9845579535375388e-05, + "loss": 0.5256, + "step": 1028 + }, + { + "epoch": 0.11, + "learning_rate": 1.9848361745076138e-05, + "loss": 0.6231, + "step": 1029 + }, + { + "epoch": 0.11, + "learning_rate": 1.9851141252290108e-05, + "loss": 0.5409, + "step": 1030 + }, + { + "epoch": 0.11, + "learning_rate": 1.9853918062262304e-05, + "loss": 0.6185, + "step": 1031 + }, + { + "epoch": 0.11, + "learning_rate": 1.985669218022247e-05, + "loss": 0.7091, + "step": 1032 + }, + { + "epoch": 0.11, + "learning_rate": 1.985946361138516e-05, + "loss": 0.6247, + "step": 1033 + }, + { + "epoch": 0.11, + "learning_rate": 1.986223236094979e-05, + "loss": 0.5573, + "step": 1034 + }, + { + "epoch": 0.11, + "learning_rate": 1.9864998434100694e-05, + "loss": 0.5916, + "step": 1035 + }, + { + "epoch": 0.11, + "learning_rate": 1.9867761836007197e-05, + "loss": 0.5927, + "step": 1036 + }, + { + "epoch": 0.11, + "learning_rate": 1.987052257182365e-05, + "loss": 0.4986, + "step": 1037 + }, + { + "epoch": 0.11, + "learning_rate": 1.9873280646689506e-05, + "loss": 0.5354, + "step": 1038 + }, + { + "epoch": 0.12, + "learning_rate": 1.9876036065729373e-05, + "loss": 0.6023, + "step": 1039 + }, + { + "epoch": 0.12, + "learning_rate": 1.9878788834053066e-05, + "loss": 0.5458, + "step": 1040 + }, + { + "epoch": 0.12, + "learning_rate": 1.988153895675566e-05, + "loss": 0.5414, + "step": 1041 + }, + { + "epoch": 0.12, + "learning_rate": 1.988428643891757e-05, + "loss": 0.6612, + "step": 1042 + }, + { + "epoch": 0.12, + "learning_rate": 1.9887031285604578e-05, + "loss": 0.5865, + "step": 1043 + }, + { + "epoch": 0.12, + "learning_rate": 1.988977350186791e-05, + "loss": 0.5254, + "step": 1044 + }, + { + "epoch": 0.12, + "learning_rate": 1.989251309274428e-05, + "loss": 0.5428, + "step": 1045 + }, + { + "epoch": 0.12, + "learning_rate": 1.9895250063255945e-05, + "loss": 0.6913, + "step": 1046 + }, + { + "epoch": 0.12, + "learning_rate": 1.989798441841078e-05, + "loss": 0.6455, + "step": 1047 + }, + { + "epoch": 0.12, + "learning_rate": 1.9900716163202298e-05, + "loss": 0.4539, + "step": 1048 + }, + { + "epoch": 0.12, + "learning_rate": 1.990344530260974e-05, + "loss": 0.5282, + "step": 1049 + }, + { + "epoch": 0.12, + "learning_rate": 1.9906171841598106e-05, + "loss": 0.5513, + "step": 1050 + }, + { + "epoch": 0.12, + "learning_rate": 1.9908895785118218e-05, + "loss": 0.6464, + "step": 1051 + }, + { + "epoch": 0.12, + "learning_rate": 1.9911617138106775e-05, + "loss": 0.7111, + "step": 1052 + }, + { + "epoch": 0.12, + "learning_rate": 1.9914335905486402e-05, + "loss": 0.4886, + "step": 1053 + }, + { + "epoch": 0.12, + "learning_rate": 1.9917052092165707e-05, + "loss": 0.4767, + "step": 1054 + }, + { + "epoch": 0.12, + "learning_rate": 1.9919765703039338e-05, + "loss": 0.6018, + "step": 1055 + }, + { + "epoch": 0.12, + "learning_rate": 1.992247674298802e-05, + "loss": 0.6663, + "step": 1056 + }, + { + "epoch": 0.12, + "learning_rate": 1.992518521687863e-05, + "loss": 0.4984, + "step": 1057 + }, + { + "epoch": 0.12, + "learning_rate": 1.9927891129564235e-05, + "loss": 0.4761, + "step": 1058 + }, + { + "epoch": 0.12, + "learning_rate": 1.9930594485884142e-05, + "loss": 0.5533, + "step": 1059 + }, + { + "epoch": 0.12, + "learning_rate": 1.9933295290663964e-05, + "loss": 0.5042, + "step": 1060 + }, + { + "epoch": 0.12, + "learning_rate": 1.993599354871566e-05, + "loss": 0.4979, + "step": 1061 + }, + { + "epoch": 0.12, + "learning_rate": 1.9938689264837586e-05, + "loss": 0.497, + "step": 1062 + }, + { + "epoch": 0.12, + "learning_rate": 1.9941382443814547e-05, + "loss": 0.5306, + "step": 1063 + }, + { + "epoch": 0.12, + "learning_rate": 1.9944073090417867e-05, + "loss": 0.5663, + "step": 1064 + }, + { + "epoch": 0.12, + "learning_rate": 1.99467612094054e-05, + "loss": 0.6363, + "step": 1065 + }, + { + "epoch": 0.12, + "learning_rate": 1.9949446805521623e-05, + "loss": 0.6098, + "step": 1066 + }, + { + "epoch": 0.12, + "learning_rate": 1.995212988349766e-05, + "loss": 0.5261, + "step": 1067 + }, + { + "epoch": 0.12, + "learning_rate": 1.9954810448051337e-05, + "loss": 0.5977, + "step": 1068 + }, + { + "epoch": 0.12, + "learning_rate": 1.9957488503887236e-05, + "loss": 0.7535, + "step": 1069 + }, + { + "epoch": 0.12, + "learning_rate": 1.9960164055696744e-05, + "loss": 0.5405, + "step": 1070 + }, + { + "epoch": 0.12, + "learning_rate": 1.9962837108158097e-05, + "loss": 0.6316, + "step": 1071 + }, + { + "epoch": 0.12, + "learning_rate": 1.9965507665936435e-05, + "loss": 0.6552, + "step": 1072 + }, + { + "epoch": 0.12, + "learning_rate": 1.9968175733683853e-05, + "loss": 0.6169, + "step": 1073 + }, + { + "epoch": 0.12, + "learning_rate": 1.9970841316039435e-05, + "loss": 0.6933, + "step": 1074 + }, + { + "epoch": 0.12, + "learning_rate": 1.9973504417629322e-05, + "loss": 0.449, + "step": 1075 + }, + { + "epoch": 0.12, + "learning_rate": 1.9976165043066744e-05, + "loss": 0.5681, + "step": 1076 + }, + { + "epoch": 0.12, + "learning_rate": 1.9978823196952083e-05, + "loss": 0.6211, + "step": 1077 + }, + { + "epoch": 0.12, + "learning_rate": 1.99814788838729e-05, + "loss": 0.5218, + "step": 1078 + }, + { + "epoch": 0.12, + "learning_rate": 1.9984132108404013e-05, + "loss": 0.5734, + "step": 1079 + }, + { + "epoch": 0.12, + "learning_rate": 1.9986782875107513e-05, + "loss": 0.5976, + "step": 1080 + }, + { + "epoch": 0.12, + "learning_rate": 1.9989431188532817e-05, + "loss": 0.5062, + "step": 1081 + }, + { + "epoch": 0.12, + "learning_rate": 1.9992077053216744e-05, + "loss": 0.6475, + "step": 1082 + }, + { + "epoch": 0.12, + "learning_rate": 1.9994720473683526e-05, + "loss": 0.5995, + "step": 1083 + }, + { + "epoch": 0.12, + "learning_rate": 1.999736145444487e-05, + "loss": 0.5332, + "step": 1084 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 1085 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 1086 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5178, + "step": 1087 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 1088 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5778, + "step": 1089 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5624, + "step": 1090 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 1091 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 1092 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 1093 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 1094 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 1095 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6178, + "step": 1096 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 1097 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 1098 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 1099 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5641, + "step": 1100 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5091, + "step": 1101 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 1102 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5809, + "step": 1103 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6583, + "step": 1104 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6099, + "step": 1105 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6025, + "step": 1106 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 1107 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 1108 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 1109 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 1110 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6534, + "step": 1111 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 1112 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4548, + "step": 1113 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6015, + "step": 1114 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5663, + "step": 1115 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5968, + "step": 1116 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 1117 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6297, + "step": 1118 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6323, + "step": 1119 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 1120 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 1121 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.597, + "step": 1122 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6327, + "step": 1123 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6195, + "step": 1124 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.6021, + "step": 1125 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 1126 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 1127 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 1128 + }, + { + "epoch": 0.12, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 1129 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.673, + "step": 1130 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 1131 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5642, + "step": 1132 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 1133 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 1134 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5755, + "step": 1135 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6415, + "step": 1136 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 1137 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5839, + "step": 1138 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 1139 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5233, + "step": 1140 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6003, + "step": 1141 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 1142 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 1143 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4737, + "step": 1144 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 1145 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5105, + "step": 1146 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5857, + "step": 1147 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 1148 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5672, + "step": 1149 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 1150 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 1151 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6394, + "step": 1152 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.7219, + "step": 1153 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6265, + "step": 1154 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 1155 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4899, + "step": 1156 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 1157 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5528, + "step": 1158 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 1159 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5975, + "step": 1160 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 1161 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5853, + "step": 1162 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 1163 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5387, + "step": 1164 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5888, + "step": 1165 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6742, + "step": 1166 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 1167 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6496, + "step": 1168 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 1169 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5193, + "step": 1170 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 1171 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6161, + "step": 1172 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 1173 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.591, + "step": 1174 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 1175 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6664, + "step": 1176 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 1177 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5755, + "step": 1178 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 1179 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 1180 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5811, + "step": 1181 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4831, + "step": 1182 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 1183 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 1184 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 1185 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.609, + "step": 1186 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 1187 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5339, + "step": 1188 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.446, + "step": 1189 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4893, + "step": 1190 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 1191 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4624, + "step": 1192 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6715, + "step": 1193 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 1194 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 1195 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6132, + "step": 1196 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 1197 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 1198 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 1199 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 1200 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 1201 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5864, + "step": 1202 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5021, + "step": 1203 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 1204 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 1205 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 1206 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4981, + "step": 1207 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5338, + "step": 1208 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6568, + "step": 1209 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4398, + "step": 1210 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6516, + "step": 1211 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6824, + "step": 1212 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4975, + "step": 1213 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 1214 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5819, + "step": 1215 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 1216 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 1217 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 1218 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 1219 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5401, + "step": 1220 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 1221 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 1222 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4804, + "step": 1223 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 1224 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 1225 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6002, + "step": 1226 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 1227 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6782, + "step": 1228 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5984, + "step": 1229 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.7952, + "step": 1230 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5508, + "step": 1231 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 1232 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4521, + "step": 1233 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.617, + "step": 1234 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 1235 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4979, + "step": 1236 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5159, + "step": 1237 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5074, + "step": 1238 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5664, + "step": 1239 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.479, + "step": 1240 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 1241 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 1242 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5962, + "step": 1243 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5812, + "step": 1244 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5105, + "step": 1245 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6107, + "step": 1246 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 1247 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6314, + "step": 1248 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6025, + "step": 1249 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6847, + "step": 1250 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6029, + "step": 1251 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 1252 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5556, + "step": 1253 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 1254 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 1255 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5912, + "step": 1256 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.623, + "step": 1257 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5938, + "step": 1258 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 1259 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.652, + "step": 1260 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5226, + "step": 1261 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6184, + "step": 1262 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6339, + "step": 1263 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 1264 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 1265 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 1266 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5955, + "step": 1267 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 1268 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 1269 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5098, + "step": 1270 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 1271 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5006, + "step": 1272 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5239, + "step": 1273 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5542, + "step": 1274 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5532, + "step": 1275 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 1276 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 1277 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6271, + "step": 1278 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5816, + "step": 1279 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 1280 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 1281 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 1282 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 1283 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5992, + "step": 1284 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 1285 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 1286 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6171, + "step": 1287 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 1288 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5561, + "step": 1289 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 1290 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 1291 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 1292 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5267, + "step": 1293 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5148, + "step": 1294 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5153, + "step": 1295 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 1296 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.7215, + "step": 1297 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 1298 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5867, + "step": 1299 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 1300 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6212, + "step": 1301 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 1302 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 1303 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 1304 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 1305 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.611, + "step": 1306 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.6157, + "step": 1307 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 1308 + }, + { + "epoch": 0.14, + "learning_rate": 2e-05, + "loss": 0.4523, + "step": 1309 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6193, + "step": 1310 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5318, + "step": 1311 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 1312 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 1313 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 1314 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 1315 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.525, + "step": 1316 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 1317 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.525, + "step": 1318 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 1319 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6247, + "step": 1320 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 1321 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 1322 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 1323 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 1324 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 1325 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 1326 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 1327 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 1328 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5615, + "step": 1329 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 1330 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 1331 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4994, + "step": 1332 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.602, + "step": 1333 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 1334 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 1335 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 1336 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5226, + "step": 1337 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5066, + "step": 1338 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 1339 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.439, + "step": 1340 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.644, + "step": 1341 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 1342 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.552, + "step": 1343 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5915, + "step": 1344 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6078, + "step": 1345 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 1346 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 1347 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 1348 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5763, + "step": 1349 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6041, + "step": 1350 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 1351 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 1352 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5165, + "step": 1353 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5389, + "step": 1354 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 1355 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 1356 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.7265, + "step": 1357 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4883, + "step": 1358 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 1359 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 1360 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4836, + "step": 1361 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 1362 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 1363 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5343, + "step": 1364 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5174, + "step": 1365 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5471, + "step": 1366 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.7201, + "step": 1367 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 1368 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6271, + "step": 1369 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5663, + "step": 1370 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 1371 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 1372 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5246, + "step": 1373 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 1374 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4665, + "step": 1375 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5877, + "step": 1376 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6091, + "step": 1377 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6352, + "step": 1378 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 1379 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 1380 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5934, + "step": 1381 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6408, + "step": 1382 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5266, + "step": 1383 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5761, + "step": 1384 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4969, + "step": 1385 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6045, + "step": 1386 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4937, + "step": 1387 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4658, + "step": 1388 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6296, + "step": 1389 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.6249, + "step": 1390 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 1391 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 1392 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5754, + "step": 1393 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 1394 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 1395 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5352, + "step": 1396 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5526, + "step": 1397 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5366, + "step": 1398 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5049, + "step": 1399 + }, + { + "epoch": 0.15, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 1400 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5895, + "step": 1401 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6144, + "step": 1402 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6155, + "step": 1403 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 1404 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6152, + "step": 1405 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5231, + "step": 1406 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4891, + "step": 1407 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.548, + "step": 1408 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 1409 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4765, + "step": 1410 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 1411 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5695, + "step": 1412 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6107, + "step": 1413 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.593, + "step": 1414 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5741, + "step": 1415 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 1416 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5694, + "step": 1417 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 1418 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5651, + "step": 1419 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5751, + "step": 1420 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 1421 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5121, + "step": 1422 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 1423 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6078, + "step": 1424 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5399, + "step": 1425 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.61, + "step": 1426 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5705, + "step": 1427 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 1428 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6986, + "step": 1429 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6106, + "step": 1430 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 1431 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 1432 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5694, + "step": 1433 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6396, + "step": 1434 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6377, + "step": 1435 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 1436 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6243, + "step": 1437 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 1438 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 1439 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6289, + "step": 1440 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 1441 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4899, + "step": 1442 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6152, + "step": 1443 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.601, + "step": 1444 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 1445 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.582, + "step": 1446 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6365, + "step": 1447 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 1448 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 1449 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 1450 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6059, + "step": 1451 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 1452 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 1453 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 1454 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6322, + "step": 1455 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 1456 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6584, + "step": 1457 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5204, + "step": 1458 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6794, + "step": 1459 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5858, + "step": 1460 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6454, + "step": 1461 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 1462 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 1463 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6194, + "step": 1464 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 1465 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5941, + "step": 1466 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 1467 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 1468 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5889, + "step": 1469 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.6439, + "step": 1470 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 1471 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5468, + "step": 1472 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 1473 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 1474 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 1475 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5703, + "step": 1476 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 1477 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5622, + "step": 1478 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 1479 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5921, + "step": 1480 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5042, + "step": 1481 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5625, + "step": 1482 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 1483 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5896, + "step": 1484 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 1485 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 1486 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5783, + "step": 1487 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5176, + "step": 1488 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 1489 + }, + { + "epoch": 0.16, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 1490 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5843, + "step": 1491 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6334, + "step": 1492 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6649, + "step": 1493 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6559, + "step": 1494 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 1495 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6316, + "step": 1496 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 1497 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5073, + "step": 1498 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6324, + "step": 1499 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 1500 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 1501 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 1502 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6236, + "step": 1503 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4865, + "step": 1504 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 1505 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5956, + "step": 1506 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 1507 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 1508 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6786, + "step": 1509 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 1510 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 1511 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 1512 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 1513 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.7114, + "step": 1514 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5305, + "step": 1515 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5509, + "step": 1516 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5701, + "step": 1517 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 1518 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5142, + "step": 1519 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5784, + "step": 1520 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 1521 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.573, + "step": 1522 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 1523 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5448, + "step": 1524 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5997, + "step": 1525 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6056, + "step": 1526 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 1527 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 1528 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 1529 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 1530 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 1531 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 1532 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5267, + "step": 1533 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6194, + "step": 1534 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5818, + "step": 1535 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4555, + "step": 1536 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5271, + "step": 1537 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.65, + "step": 1538 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5487, + "step": 1539 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5867, + "step": 1540 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.541, + "step": 1541 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 1542 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6205, + "step": 1543 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4888, + "step": 1544 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5934, + "step": 1545 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 1546 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4848, + "step": 1547 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5325, + "step": 1548 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 1549 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 1550 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 1551 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4365, + "step": 1552 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6238, + "step": 1553 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5863, + "step": 1554 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6521, + "step": 1555 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6723, + "step": 1556 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6375, + "step": 1557 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6539, + "step": 1558 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 1559 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4832, + "step": 1560 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 1561 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 1562 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 1563 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5171, + "step": 1564 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4862, + "step": 1565 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6057, + "step": 1566 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6947, + "step": 1567 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 1568 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 1569 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5806, + "step": 1570 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5166, + "step": 1571 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6149, + "step": 1572 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 1573 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 1574 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 1575 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.6655, + "step": 1576 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5767, + "step": 1577 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 1578 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.5774, + "step": 1579 + }, + { + "epoch": 0.17, + "learning_rate": 2e-05, + "loss": 0.4803, + "step": 1580 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5886, + "step": 1581 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 1582 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5518, + "step": 1583 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 1584 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6423, + "step": 1585 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 1586 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6217, + "step": 1587 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 1588 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 1589 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6488, + "step": 1590 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5399, + "step": 1591 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 1592 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4344, + "step": 1593 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6499, + "step": 1594 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5485, + "step": 1595 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6107, + "step": 1596 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 1597 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5926, + "step": 1598 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5644, + "step": 1599 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4848, + "step": 1600 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 1601 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 1602 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 1603 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5262, + "step": 1604 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6741, + "step": 1605 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5611, + "step": 1606 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5214, + "step": 1607 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6046, + "step": 1608 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 1609 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5252, + "step": 1610 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 1611 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 1612 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 1613 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 1614 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5391, + "step": 1615 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5695, + "step": 1616 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5079, + "step": 1617 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5697, + "step": 1618 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 1619 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6528, + "step": 1620 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6519, + "step": 1621 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6061, + "step": 1622 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4766, + "step": 1623 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6502, + "step": 1624 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5536, + "step": 1625 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 1626 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 1627 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6252, + "step": 1628 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 1629 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.657, + "step": 1630 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 1631 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 1632 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 1633 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 1634 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4604, + "step": 1635 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5056, + "step": 1636 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 1637 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6009, + "step": 1638 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.648, + "step": 1639 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 1640 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 1641 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 1642 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 1643 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5888, + "step": 1644 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6446, + "step": 1645 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 1646 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5413, + "step": 1647 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 1648 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 1649 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 1650 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 1651 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 1652 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6118, + "step": 1653 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 1654 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5765, + "step": 1655 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 1656 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 1657 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6653, + "step": 1658 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 1659 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5741, + "step": 1660 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 1661 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 1662 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6092, + "step": 1663 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5036, + "step": 1664 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6235, + "step": 1665 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 1666 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.6058, + "step": 1667 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 1668 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 1669 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 1670 + }, + { + "epoch": 0.18, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 1671 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4964, + "step": 1672 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4838, + "step": 1673 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4959, + "step": 1674 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5154, + "step": 1675 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4872, + "step": 1676 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5441, + "step": 1677 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 1678 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.568, + "step": 1679 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5031, + "step": 1680 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 1681 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6363, + "step": 1682 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5495, + "step": 1683 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5297, + "step": 1684 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6618, + "step": 1685 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5669, + "step": 1686 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 1687 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5503, + "step": 1688 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5856, + "step": 1689 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 1690 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6077, + "step": 1691 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5267, + "step": 1692 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 1693 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 1694 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5995, + "step": 1695 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 1696 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.55, + "step": 1697 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6164, + "step": 1698 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 1699 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 1700 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 1701 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 1702 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 1703 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 1704 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6872, + "step": 1705 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6254, + "step": 1706 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5236, + "step": 1707 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4587, + "step": 1708 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 1709 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6177, + "step": 1710 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.617, + "step": 1711 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5556, + "step": 1712 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6436, + "step": 1713 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 1714 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 1715 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5012, + "step": 1716 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6285, + "step": 1717 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5858, + "step": 1718 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 1719 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 1720 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4464, + "step": 1721 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6032, + "step": 1722 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5695, + "step": 1723 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5588, + "step": 1724 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 1725 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 1726 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5872, + "step": 1727 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 1728 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 1729 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 1730 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6275, + "step": 1731 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 1732 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5992, + "step": 1733 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6073, + "step": 1734 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 1735 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4706, + "step": 1736 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 1737 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6349, + "step": 1738 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6083, + "step": 1739 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 1740 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 1741 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5659, + "step": 1742 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5612, + "step": 1743 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4813, + "step": 1744 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 1745 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5083, + "step": 1746 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 1747 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5068, + "step": 1748 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6128, + "step": 1749 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6285, + "step": 1750 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 1751 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.6572, + "step": 1752 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5338, + "step": 1753 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 1754 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 1755 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5604, + "step": 1756 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 1757 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 1758 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 1759 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5835, + "step": 1760 + }, + { + "epoch": 0.19, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 1761 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5905, + "step": 1762 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 1763 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 1764 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6345, + "step": 1765 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6225, + "step": 1766 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6383, + "step": 1767 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6178, + "step": 1768 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5821, + "step": 1769 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6998, + "step": 1770 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5482, + "step": 1771 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 1772 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5698, + "step": 1773 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 1774 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 1775 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5535, + "step": 1776 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 1777 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6568, + "step": 1778 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6267, + "step": 1779 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 1780 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.4838, + "step": 1781 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6009, + "step": 1782 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5845, + "step": 1783 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5614, + "step": 1784 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.591, + "step": 1785 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 1786 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 1787 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 1788 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 1789 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5556, + "step": 1790 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 1791 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6362, + "step": 1792 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 1793 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5251, + "step": 1794 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 1795 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 1796 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6146, + "step": 1797 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 1798 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6381, + "step": 1799 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 1800 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 1801 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6495, + "step": 1802 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 1803 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5175, + "step": 1804 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 1805 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6262, + "step": 1806 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6368, + "step": 1807 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6413, + "step": 1808 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5373, + "step": 1809 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 1810 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 1811 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 1812 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5091, + "step": 1813 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6269, + "step": 1814 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 1815 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 1816 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6509, + "step": 1817 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 1818 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 1819 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 1820 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5623, + "step": 1821 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 1822 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 1823 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6181, + "step": 1824 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 1825 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.507, + "step": 1826 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6948, + "step": 1827 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 1828 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.4513, + "step": 1829 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5275, + "step": 1830 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5701, + "step": 1831 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 1832 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 1833 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.502, + "step": 1834 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 1835 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5408, + "step": 1836 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6031, + "step": 1837 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6994, + "step": 1838 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 1839 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 1840 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6761, + "step": 1841 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5936, + "step": 1842 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.7157, + "step": 1843 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5761, + "step": 1844 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6384, + "step": 1845 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 1846 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6328, + "step": 1847 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 1848 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 1849 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 1850 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 1851 + }, + { + "epoch": 0.2, + "learning_rate": 2e-05, + "loss": 0.6955, + "step": 1852 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 1853 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4176, + "step": 1854 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5419, + "step": 1855 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 1856 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6343, + "step": 1857 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 1858 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6036, + "step": 1859 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 1860 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5509, + "step": 1861 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5339, + "step": 1862 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5661, + "step": 1863 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4673, + "step": 1864 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5403, + "step": 1865 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6529, + "step": 1866 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 1867 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.629, + "step": 1868 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4482, + "step": 1869 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 1870 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.647, + "step": 1871 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6143, + "step": 1872 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5827, + "step": 1873 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4831, + "step": 1874 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6068, + "step": 1875 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 1876 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5006, + "step": 1877 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6785, + "step": 1878 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 1879 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 1880 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 1881 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4786, + "step": 1882 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5732, + "step": 1883 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6475, + "step": 1884 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 1885 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5962, + "step": 1886 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5683, + "step": 1887 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 1888 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 1889 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6022, + "step": 1890 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5723, + "step": 1891 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 1892 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 1893 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 1894 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6243, + "step": 1895 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5607, + "step": 1896 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6063, + "step": 1897 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5392, + "step": 1898 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6797, + "step": 1899 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.581, + "step": 1900 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 1901 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.677, + "step": 1902 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 1903 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4837, + "step": 1904 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 1905 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5983, + "step": 1906 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5959, + "step": 1907 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 1908 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4884, + "step": 1909 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 1910 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6156, + "step": 1911 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 1912 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 1913 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5074, + "step": 1914 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5755, + "step": 1915 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 1916 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 1917 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 1918 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5374, + "step": 1919 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 1920 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 1921 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 1922 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5389, + "step": 1923 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.583, + "step": 1924 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.476, + "step": 1925 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4985, + "step": 1926 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 1927 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5528, + "step": 1928 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 1929 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.552, + "step": 1930 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 1931 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4869, + "step": 1932 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5908, + "step": 1933 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6108, + "step": 1934 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5762, + "step": 1935 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 1936 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 1937 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 1938 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5822, + "step": 1939 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.5135, + "step": 1940 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.6162, + "step": 1941 + }, + { + "epoch": 0.21, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 1942 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6033, + "step": 1943 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4625, + "step": 1944 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 1945 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5943, + "step": 1946 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 1947 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 1948 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 1949 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 1950 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5673, + "step": 1951 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 1952 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4852, + "step": 1953 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.533, + "step": 1954 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 1955 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4327, + "step": 1956 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4721, + "step": 1957 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5124, + "step": 1958 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 1959 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 1960 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 1961 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4948, + "step": 1962 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5948, + "step": 1963 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 1964 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 1965 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5845, + "step": 1966 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6384, + "step": 1967 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5391, + "step": 1968 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6113, + "step": 1969 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4967, + "step": 1970 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6298, + "step": 1971 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6259, + "step": 1972 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5176, + "step": 1973 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 1974 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6188, + "step": 1975 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6467, + "step": 1976 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 1977 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 1978 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 1979 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 1980 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 1981 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4455, + "step": 1982 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 1983 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4873, + "step": 1984 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 1985 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 1986 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 1987 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6004, + "step": 1988 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5751, + "step": 1989 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 1990 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5855, + "step": 1991 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6378, + "step": 1992 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6161, + "step": 1993 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6005, + "step": 1994 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5377, + "step": 1995 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5239, + "step": 1996 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 1997 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 1998 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 1999 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 2000 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6724, + "step": 2001 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5986, + "step": 2002 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 2003 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5958, + "step": 2004 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5864, + "step": 2005 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5574, + "step": 2006 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5751, + "step": 2007 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 2008 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4842, + "step": 2009 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.689, + "step": 2010 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 2011 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.7168, + "step": 2012 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5734, + "step": 2013 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6702, + "step": 2014 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6295, + "step": 2015 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 2016 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 2017 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6077, + "step": 2018 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6381, + "step": 2019 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 2020 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5553, + "step": 2021 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6121, + "step": 2022 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6302, + "step": 2023 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5092, + "step": 2024 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 2025 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.6101, + "step": 2026 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 2027 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 2028 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5715, + "step": 2029 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 2030 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 2031 + }, + { + "epoch": 0.22, + "learning_rate": 2e-05, + "loss": 0.5084, + "step": 2032 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 2033 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 2034 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 2035 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5278, + "step": 2036 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 2037 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5045, + "step": 2038 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.49, + "step": 2039 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6513, + "step": 2040 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5694, + "step": 2041 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5049, + "step": 2042 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 2043 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 2044 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 2045 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5113, + "step": 2046 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 2047 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6408, + "step": 2048 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 2049 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 2050 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 2051 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 2052 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5486, + "step": 2053 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5967, + "step": 2054 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5867, + "step": 2055 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5763, + "step": 2056 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 2057 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5542, + "step": 2058 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 2059 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4887, + "step": 2060 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5639, + "step": 2061 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5916, + "step": 2062 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5216, + "step": 2063 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 2064 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6193, + "step": 2065 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 2066 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5596, + "step": 2067 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 2068 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 2069 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 2070 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 2071 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 2072 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 2073 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5339, + "step": 2074 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 2075 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4964, + "step": 2076 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 2077 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5171, + "step": 2078 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 2079 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5681, + "step": 2080 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 2081 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 2082 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5791, + "step": 2083 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6681, + "step": 2084 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6205, + "step": 2085 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6888, + "step": 2086 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6104, + "step": 2087 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5979, + "step": 2088 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 2089 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 2090 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 2091 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 2092 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 2093 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5499, + "step": 2094 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 2095 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 2096 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 2097 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5763, + "step": 2098 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 2099 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6007, + "step": 2100 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 2101 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5632, + "step": 2102 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 2103 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 2104 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4893, + "step": 2105 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 2106 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 2107 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.6053, + "step": 2108 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4493, + "step": 2109 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 2110 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 2111 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 2112 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 2113 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 2114 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5843, + "step": 2115 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 2116 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5963, + "step": 2117 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5955, + "step": 2118 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.4979, + "step": 2119 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 2120 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5972, + "step": 2121 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 2122 + }, + { + "epoch": 0.23, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 2123 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4953, + "step": 2124 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6346, + "step": 2125 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5675, + "step": 2126 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5842, + "step": 2127 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 2128 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5848, + "step": 2129 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6435, + "step": 2130 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.524, + "step": 2131 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5472, + "step": 2132 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.558, + "step": 2133 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 2134 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5666, + "step": 2135 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6625, + "step": 2136 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 2137 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6138, + "step": 2138 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4748, + "step": 2139 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6954, + "step": 2140 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6248, + "step": 2141 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6379, + "step": 2142 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5387, + "step": 2143 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5579, + "step": 2144 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4994, + "step": 2145 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 2146 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6182, + "step": 2147 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5778, + "step": 2148 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5821, + "step": 2149 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5371, + "step": 2150 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5387, + "step": 2151 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 2152 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 2153 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 2154 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5617, + "step": 2155 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 2156 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5153, + "step": 2157 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6217, + "step": 2158 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 2159 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6535, + "step": 2160 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 2161 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 2162 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.64, + "step": 2163 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4816, + "step": 2164 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 2165 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5394, + "step": 2166 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5118, + "step": 2167 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6134, + "step": 2168 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5949, + "step": 2169 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6595, + "step": 2170 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5454, + "step": 2171 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5774, + "step": 2172 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 2173 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 2174 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5808, + "step": 2175 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6392, + "step": 2176 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5532, + "step": 2177 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 2178 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5058, + "step": 2179 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.585, + "step": 2180 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6163, + "step": 2181 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6164, + "step": 2182 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5533, + "step": 2183 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 2184 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6408, + "step": 2185 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 2186 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4982, + "step": 2187 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5827, + "step": 2188 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 2189 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5828, + "step": 2190 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6028, + "step": 2191 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 2192 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4874, + "step": 2193 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 2194 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5085, + "step": 2195 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5761, + "step": 2196 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 2197 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6461, + "step": 2198 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5975, + "step": 2199 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5188, + "step": 2200 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.476, + "step": 2201 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 2202 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 2203 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6124, + "step": 2204 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 2205 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5471, + "step": 2206 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 2207 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 2208 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6001, + "step": 2209 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 2210 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 2211 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 2212 + }, + { + "epoch": 0.24, + "learning_rate": 2e-05, + "loss": 0.5897, + "step": 2213 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5305, + "step": 2214 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6352, + "step": 2215 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5491, + "step": 2216 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 2217 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6202, + "step": 2218 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6471, + "step": 2219 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5967, + "step": 2220 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 2221 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 2222 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 2223 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5796, + "step": 2224 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5966, + "step": 2225 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 2226 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 2227 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5002, + "step": 2228 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5328, + "step": 2229 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 2230 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6047, + "step": 2231 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 2232 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 2233 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 2234 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.58, + "step": 2235 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6011, + "step": 2236 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 2237 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6198, + "step": 2238 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5658, + "step": 2239 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 2240 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4796, + "step": 2241 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 2242 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 2243 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.7241, + "step": 2244 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6244, + "step": 2245 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 2246 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6022, + "step": 2247 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6041, + "step": 2248 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 2249 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 2250 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5278, + "step": 2251 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6138, + "step": 2252 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5144, + "step": 2253 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 2254 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.458, + "step": 2255 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 2256 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6915, + "step": 2257 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 2258 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6453, + "step": 2259 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 2260 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6121, + "step": 2261 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5733, + "step": 2262 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.545, + "step": 2263 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4863, + "step": 2264 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.577, + "step": 2265 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 2266 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5113, + "step": 2267 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 2268 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 2269 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 2270 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5896, + "step": 2271 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5174, + "step": 2272 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6099, + "step": 2273 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 2274 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 2275 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 2276 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 2277 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 2278 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 2279 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 2280 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5206, + "step": 2281 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 2282 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5812, + "step": 2283 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 2284 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5937, + "step": 2285 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 2286 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4483, + "step": 2287 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.6292, + "step": 2288 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 2289 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4975, + "step": 2290 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.7489, + "step": 2291 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 2292 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 2293 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5874, + "step": 2294 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 2295 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5683, + "step": 2296 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4864, + "step": 2297 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 2298 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.4837, + "step": 2299 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5789, + "step": 2300 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.5265, + "step": 2301 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.593, + "step": 2302 + }, + { + "epoch": 0.25, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 2303 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6225, + "step": 2304 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6495, + "step": 2305 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 2306 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 2307 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 2308 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 2309 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5761, + "step": 2310 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5423, + "step": 2311 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4815, + "step": 2312 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 2313 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 2314 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 2315 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4504, + "step": 2316 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5042, + "step": 2317 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6127, + "step": 2318 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.502, + "step": 2319 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5956, + "step": 2320 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4917, + "step": 2321 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5418, + "step": 2322 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5408, + "step": 2323 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5252, + "step": 2324 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5297, + "step": 2325 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 2326 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 2327 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 2328 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 2329 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.509, + "step": 2330 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4942, + "step": 2331 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 2332 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 2333 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 2334 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5644, + "step": 2335 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5059, + "step": 2336 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5892, + "step": 2337 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5321, + "step": 2338 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6193, + "step": 2339 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.541, + "step": 2340 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5166, + "step": 2341 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 2342 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6267, + "step": 2343 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6059, + "step": 2344 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5922, + "step": 2345 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4648, + "step": 2346 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 2347 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 2348 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 2349 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6328, + "step": 2350 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5842, + "step": 2351 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 2352 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 2353 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4539, + "step": 2354 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 2355 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5869, + "step": 2356 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5732, + "step": 2357 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.58, + "step": 2358 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6361, + "step": 2359 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5036, + "step": 2360 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 2361 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 2362 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5066, + "step": 2363 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5373, + "step": 2364 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5974, + "step": 2365 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.581, + "step": 2366 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5328, + "step": 2367 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 2368 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 2369 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6213, + "step": 2370 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6042, + "step": 2371 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 2372 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4565, + "step": 2373 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 2374 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5665, + "step": 2375 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 2376 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 2377 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 2378 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5623, + "step": 2379 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 2380 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5752, + "step": 2381 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 2382 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6094, + "step": 2383 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6228, + "step": 2384 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 2385 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 2386 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 2387 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 2388 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5952, + "step": 2389 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 2390 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 2391 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.5683, + "step": 2392 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.6471, + "step": 2393 + }, + { + "epoch": 0.26, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 2394 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5659, + "step": 2395 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 2396 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 2397 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 2398 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6554, + "step": 2399 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6158, + "step": 2400 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 2401 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5166, + "step": 2402 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 2403 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5029, + "step": 2404 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 2405 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6264, + "step": 2406 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 2407 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.616, + "step": 2408 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4611, + "step": 2409 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5669, + "step": 2410 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4671, + "step": 2411 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 2412 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6028, + "step": 2413 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 2414 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 2415 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 2416 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5004, + "step": 2417 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5165, + "step": 2418 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4858, + "step": 2419 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 2420 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 2421 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5652, + "step": 2422 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 2423 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5192, + "step": 2424 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 2425 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5271, + "step": 2426 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4973, + "step": 2427 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 2428 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6828, + "step": 2429 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6293, + "step": 2430 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 2431 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 2432 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 2433 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5874, + "step": 2434 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5029, + "step": 2435 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 2436 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5491, + "step": 2437 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5114, + "step": 2438 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 2439 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 2440 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 2441 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 2442 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.65, + "step": 2443 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5377, + "step": 2444 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6352, + "step": 2445 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5042, + "step": 2446 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5066, + "step": 2447 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 2448 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 2449 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 2450 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 2451 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 2452 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5211, + "step": 2453 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 2454 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6166, + "step": 2455 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4852, + "step": 2456 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6211, + "step": 2457 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.596, + "step": 2458 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 2459 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 2460 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 2461 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 2462 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 2463 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 2464 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 2465 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 2466 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 2467 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 2468 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 2469 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5711, + "step": 2470 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 2471 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5876, + "step": 2472 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 2473 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6494, + "step": 2474 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 2475 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 2476 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 2477 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.65, + "step": 2478 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5665, + "step": 2479 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 2480 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 2481 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 2482 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.4754, + "step": 2483 + }, + { + "epoch": 0.27, + "learning_rate": 2e-05, + "loss": 0.5562, + "step": 2484 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5583, + "step": 2485 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 2486 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6183, + "step": 2487 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 2488 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 2489 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 2490 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 2491 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 2492 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5885, + "step": 2493 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4715, + "step": 2494 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6236, + "step": 2495 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 2496 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 2497 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 2498 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.517, + "step": 2499 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5495, + "step": 2500 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.55, + "step": 2501 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 2502 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.533, + "step": 2503 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5931, + "step": 2504 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5824, + "step": 2505 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4547, + "step": 2506 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5024, + "step": 2507 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5904, + "step": 2508 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 2509 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 2510 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6165, + "step": 2511 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5969, + "step": 2512 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 2513 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 2514 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6142, + "step": 2515 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6114, + "step": 2516 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 2517 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6385, + "step": 2518 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5089, + "step": 2519 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4925, + "step": 2520 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5676, + "step": 2521 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 2522 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 2523 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5889, + "step": 2524 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5771, + "step": 2525 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6302, + "step": 2526 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5983, + "step": 2527 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5912, + "step": 2528 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6299, + "step": 2529 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4716, + "step": 2530 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 2531 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5662, + "step": 2532 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 2533 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 2534 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5711, + "step": 2535 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5741, + "step": 2536 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5221, + "step": 2537 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6169, + "step": 2538 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 2539 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 2540 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 2541 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 2542 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 2543 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 2544 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 2545 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5722, + "step": 2546 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 2547 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.7161, + "step": 2548 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6901, + "step": 2549 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 2550 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 2551 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5338, + "step": 2552 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 2553 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 2554 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.431, + "step": 2555 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6797, + "step": 2556 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.488, + "step": 2557 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5774, + "step": 2558 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 2559 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 2560 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 2561 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 2562 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 2563 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.6094, + "step": 2564 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 2565 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5907, + "step": 2566 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4865, + "step": 2567 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5862, + "step": 2568 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5371, + "step": 2569 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 2570 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 2571 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 2572 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.5658, + "step": 2573 + }, + { + "epoch": 0.28, + "learning_rate": 2e-05, + "loss": 0.7308, + "step": 2574 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6656, + "step": 2575 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 2576 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 2577 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6, + "step": 2578 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6021, + "step": 2579 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4843, + "step": 2580 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6148, + "step": 2581 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.7241, + "step": 2582 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 2583 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 2584 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.513, + "step": 2585 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 2586 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5917, + "step": 2587 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 2588 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 2589 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5955, + "step": 2590 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 2591 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.596, + "step": 2592 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 2593 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5723, + "step": 2594 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 2595 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6201, + "step": 2596 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4797, + "step": 2597 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4602, + "step": 2598 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 2599 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.609, + "step": 2600 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 2601 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6505, + "step": 2602 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 2603 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 2604 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 2605 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5125, + "step": 2606 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 2607 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6586, + "step": 2608 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4651, + "step": 2609 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 2610 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 2611 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5931, + "step": 2612 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5662, + "step": 2613 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 2614 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4987, + "step": 2615 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4991, + "step": 2616 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 2617 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 2618 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4817, + "step": 2619 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5953, + "step": 2620 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 2621 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 2622 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6713, + "step": 2623 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 2624 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6184, + "step": 2625 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 2626 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 2627 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 2628 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 2629 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5668, + "step": 2630 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5778, + "step": 2631 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4193, + "step": 2632 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 2633 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 2634 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 2635 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 2636 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6294, + "step": 2637 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5103, + "step": 2638 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5964, + "step": 2639 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6113, + "step": 2640 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 2641 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 2642 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.652, + "step": 2643 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 2644 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 2645 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6525, + "step": 2646 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 2647 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.58, + "step": 2648 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 2649 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 2650 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5791, + "step": 2651 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5281, + "step": 2652 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 2653 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 2654 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 2655 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5331, + "step": 2656 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5819, + "step": 2657 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5006, + "step": 2658 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 2659 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 2660 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.6044, + "step": 2661 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5193, + "step": 2662 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 2663 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.4736, + "step": 2664 + }, + { + "epoch": 0.29, + "learning_rate": 2e-05, + "loss": 0.5106, + "step": 2665 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 2666 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5141, + "step": 2667 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6502, + "step": 2668 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 2669 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6449, + "step": 2670 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 2671 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 2672 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 2673 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5485, + "step": 2674 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6282, + "step": 2675 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 2676 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6053, + "step": 2677 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.511, + "step": 2678 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 2679 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 2680 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 2681 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 2682 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5781, + "step": 2683 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6093, + "step": 2684 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 2685 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5397, + "step": 2686 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 2687 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5993, + "step": 2688 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 2689 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6423, + "step": 2690 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 2691 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6184, + "step": 2692 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6402, + "step": 2693 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.7385, + "step": 2694 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5399, + "step": 2695 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 2696 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5803, + "step": 2697 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 2698 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5879, + "step": 2699 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.491, + "step": 2700 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 2701 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 2702 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 2703 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5045, + "step": 2704 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 2705 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5844, + "step": 2706 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5772, + "step": 2707 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6463, + "step": 2708 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4484, + "step": 2709 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 2710 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5046, + "step": 2711 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 2712 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 2713 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 2714 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6425, + "step": 2715 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.487, + "step": 2716 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5206, + "step": 2717 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6443, + "step": 2718 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4727, + "step": 2719 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5416, + "step": 2720 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 2721 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 2722 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 2723 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.722, + "step": 2724 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 2725 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6222, + "step": 2726 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5214, + "step": 2727 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 2728 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 2729 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 2730 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 2731 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5916, + "step": 2732 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5184, + "step": 2733 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 2734 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 2735 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5802, + "step": 2736 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5023, + "step": 2737 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 2738 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6183, + "step": 2739 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 2740 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5734, + "step": 2741 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 2742 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 2743 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 2744 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6191, + "step": 2745 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4916, + "step": 2746 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 2747 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5254, + "step": 2748 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5674, + "step": 2749 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 2750 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 2751 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.5112, + "step": 2752 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6048, + "step": 2753 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.6214, + "step": 2754 + }, + { + "epoch": 0.3, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 2755 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5318, + "step": 2756 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.454, + "step": 2757 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6317, + "step": 2758 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 2759 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 2760 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5339, + "step": 2761 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 2762 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6227, + "step": 2763 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.494, + "step": 2764 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 2765 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 2766 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6042, + "step": 2767 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 2768 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6169, + "step": 2769 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5022, + "step": 2770 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 2771 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5754, + "step": 2772 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6266, + "step": 2773 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 2774 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6055, + "step": 2775 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 2776 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 2777 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.664, + "step": 2778 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 2779 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 2780 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 2781 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5217, + "step": 2782 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.632, + "step": 2783 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4959, + "step": 2784 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5188, + "step": 2785 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5289, + "step": 2786 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5062, + "step": 2787 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 2788 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 2789 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 2790 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5495, + "step": 2791 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 2792 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.625, + "step": 2793 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5097, + "step": 2794 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5105, + "step": 2795 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6034, + "step": 2796 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5182, + "step": 2797 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5856, + "step": 2798 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6545, + "step": 2799 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 2800 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.598, + "step": 2801 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.58, + "step": 2802 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 2803 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 2804 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5602, + "step": 2805 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4875, + "step": 2806 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 2807 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5553, + "step": 2808 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 2809 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 2810 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6299, + "step": 2811 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.642, + "step": 2812 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 2813 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.502, + "step": 2814 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6207, + "step": 2815 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6154, + "step": 2816 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 2817 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4945, + "step": 2818 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 2819 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 2820 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 2821 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 2822 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5237, + "step": 2823 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4452, + "step": 2824 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 2825 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 2826 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5199, + "step": 2827 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5567, + "step": 2828 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5939, + "step": 2829 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5795, + "step": 2830 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 2831 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5275, + "step": 2832 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 2833 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5374, + "step": 2834 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 2835 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6048, + "step": 2836 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 2837 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 2838 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 2839 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.702, + "step": 2840 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 2841 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6194, + "step": 2842 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.6881, + "step": 2843 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 2844 + }, + { + "epoch": 0.31, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 2845 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 2846 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 2847 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.693, + "step": 2848 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 2849 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 2850 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 2851 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6083, + "step": 2852 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 2853 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 2854 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 2855 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 2856 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5584, + "step": 2857 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5091, + "step": 2858 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6355, + "step": 2859 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5943, + "step": 2860 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 2861 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6644, + "step": 2862 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 2863 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5889, + "step": 2864 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5314, + "step": 2865 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5367, + "step": 2866 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6337, + "step": 2867 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 2868 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 2869 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6464, + "step": 2870 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5875, + "step": 2871 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5317, + "step": 2872 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4754, + "step": 2873 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 2874 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 2875 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5858, + "step": 2876 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 2877 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5372, + "step": 2878 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5283, + "step": 2879 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 2880 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6356, + "step": 2881 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 2882 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 2883 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 2884 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 2885 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 2886 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 2887 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 2888 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5101, + "step": 2889 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5752, + "step": 2890 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5801, + "step": 2891 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6796, + "step": 2892 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5547, + "step": 2893 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 2894 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 2895 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 2896 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 2897 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6171, + "step": 2898 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5176, + "step": 2899 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 2900 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.506, + "step": 2901 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5221, + "step": 2902 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.58, + "step": 2903 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 2904 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5723, + "step": 2905 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5733, + "step": 2906 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4594, + "step": 2907 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5062, + "step": 2908 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4606, + "step": 2909 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 2910 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5549, + "step": 2911 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 2912 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 2913 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 2914 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 2915 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 2916 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 2917 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 2918 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6247, + "step": 2919 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.6511, + "step": 2920 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 2921 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 2922 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5586, + "step": 2923 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4719, + "step": 2924 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 2925 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.7726, + "step": 2926 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.498, + "step": 2927 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 2928 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5812, + "step": 2929 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 2930 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5611, + "step": 2931 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 2932 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 2933 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 2934 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.5576, + "step": 2935 + }, + { + "epoch": 0.32, + "learning_rate": 2e-05, + "loss": 0.4937, + "step": 2936 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.578, + "step": 2937 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5964, + "step": 2938 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5673, + "step": 2939 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4685, + "step": 2940 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6223, + "step": 2941 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 2942 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 2943 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 2944 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5893, + "step": 2945 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4553, + "step": 2946 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4897, + "step": 2947 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.459, + "step": 2948 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 2949 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5942, + "step": 2950 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 2951 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 2952 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 2953 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6287, + "step": 2954 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4673, + "step": 2955 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5283, + "step": 2956 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 2957 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 2958 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 2959 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 2960 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6357, + "step": 2961 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5945, + "step": 2962 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 2963 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6251, + "step": 2964 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 2965 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 2966 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5457, + "step": 2967 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 2968 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.586, + "step": 2969 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5275, + "step": 2970 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 2971 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5232, + "step": 2972 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4971, + "step": 2973 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6475, + "step": 2974 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4815, + "step": 2975 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 2976 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 2977 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 2978 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5804, + "step": 2979 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5387, + "step": 2980 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5782, + "step": 2981 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5991, + "step": 2982 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5938, + "step": 2983 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 2984 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4981, + "step": 2985 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5254, + "step": 2986 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5445, + "step": 2987 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 2988 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5898, + "step": 2989 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 2990 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.7069, + "step": 2991 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 2992 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 2993 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5635, + "step": 2994 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 2995 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5775, + "step": 2996 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5311, + "step": 2997 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5839, + "step": 2998 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 2999 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 3000 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 3001 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 3002 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 3003 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 3004 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.623, + "step": 3005 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4572, + "step": 3006 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 3007 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 3008 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 3009 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5299, + "step": 3010 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.594, + "step": 3011 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5898, + "step": 3012 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.7053, + "step": 3013 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 3014 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5591, + "step": 3015 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 3016 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 3017 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 3018 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 3019 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6291, + "step": 3020 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6044, + "step": 3021 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6759, + "step": 3022 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5583, + "step": 3023 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.5772, + "step": 3024 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 3025 + }, + { + "epoch": 0.33, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 3026 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5345, + "step": 3027 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5749, + "step": 3028 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 3029 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5221, + "step": 3030 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 3031 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4484, + "step": 3032 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5056, + "step": 3033 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 3034 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.59, + "step": 3035 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 3036 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 3037 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4521, + "step": 3038 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 3039 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 3040 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6234, + "step": 3041 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 3042 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5421, + "step": 3043 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 3044 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 3045 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 3046 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5144, + "step": 3047 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5503, + "step": 3048 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 3049 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 3050 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5692, + "step": 3051 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 3052 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 3053 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4596, + "step": 3054 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.601, + "step": 3055 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4996, + "step": 3056 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4744, + "step": 3057 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 3058 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.57, + "step": 3059 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5703, + "step": 3060 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 3061 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 3062 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 3063 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5153, + "step": 3064 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5459, + "step": 3065 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6606, + "step": 3066 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 3067 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6165, + "step": 3068 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 3069 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5147, + "step": 3070 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6171, + "step": 3071 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5494, + "step": 3072 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4495, + "step": 3073 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 3074 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5999, + "step": 3075 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6044, + "step": 3076 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 3077 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4784, + "step": 3078 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 3079 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 3080 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.502, + "step": 3081 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 3082 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 3083 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5986, + "step": 3084 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 3085 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 3086 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.557, + "step": 3087 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 3088 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5453, + "step": 3089 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4946, + "step": 3090 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5935, + "step": 3091 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.7009, + "step": 3092 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 3093 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 3094 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 3095 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 3096 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 3097 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 3098 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4621, + "step": 3099 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 3100 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5686, + "step": 3101 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 3102 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5314, + "step": 3103 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 3104 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 3105 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 3106 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6288, + "step": 3107 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6138, + "step": 3108 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5251, + "step": 3109 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5135, + "step": 3110 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.6246, + "step": 3111 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 3112 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5757, + "step": 3113 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 3114 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 3115 + }, + { + "epoch": 0.34, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 3116 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6571, + "step": 3117 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5946, + "step": 3118 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 3119 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5967, + "step": 3120 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 3121 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5641, + "step": 3122 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 3123 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.565, + "step": 3124 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6648, + "step": 3125 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6026, + "step": 3126 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 3127 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 3128 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 3129 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 3130 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4455, + "step": 3131 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 3132 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 3133 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5887, + "step": 3134 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5343, + "step": 3135 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6059, + "step": 3136 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 3137 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5394, + "step": 3138 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 3139 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 3140 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 3141 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 3142 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 3143 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 3144 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 3145 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 3146 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 3147 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 3148 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 3149 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 3150 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 3151 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 3152 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5394, + "step": 3153 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 3154 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.594, + "step": 3155 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 3156 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 3157 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5037, + "step": 3158 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5881, + "step": 3159 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4652, + "step": 3160 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 3161 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 3162 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 3163 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 3164 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 3165 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 3166 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 3167 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.604, + "step": 3168 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5553, + "step": 3169 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 3170 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 3171 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 3172 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 3173 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4991, + "step": 3174 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 3175 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 3176 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4817, + "step": 3177 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 3178 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 3179 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 3180 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.604, + "step": 3181 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5639, + "step": 3182 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.509, + "step": 3183 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5236, + "step": 3184 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 3185 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5946, + "step": 3186 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.4869, + "step": 3187 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 3188 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.586, + "step": 3189 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5837, + "step": 3190 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5845, + "step": 3191 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 3192 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.469, + "step": 3193 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 3194 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.491, + "step": 3195 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 3196 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5335, + "step": 3197 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5538, + "step": 3198 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 3199 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 3200 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6146, + "step": 3201 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.6065, + "step": 3202 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 3203 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.545, + "step": 3204 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 3205 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 3206 + }, + { + "epoch": 0.35, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 3207 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5723, + "step": 3208 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5012, + "step": 3209 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 3210 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 3211 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4658, + "step": 3212 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5995, + "step": 3213 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5693, + "step": 3214 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6261, + "step": 3215 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 3216 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 3217 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5123, + "step": 3218 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5917, + "step": 3219 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5123, + "step": 3220 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 3221 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.517, + "step": 3222 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 3223 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.441, + "step": 3224 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4719, + "step": 3225 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 3226 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4708, + "step": 3227 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 3228 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.57, + "step": 3229 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5871, + "step": 3230 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4956, + "step": 3231 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 3232 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5975, + "step": 3233 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6878, + "step": 3234 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.558, + "step": 3235 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 3236 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5813, + "step": 3237 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 3238 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4821, + "step": 3239 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5327, + "step": 3240 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.515, + "step": 3241 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 3242 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.494, + "step": 3243 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5905, + "step": 3244 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 3245 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 3246 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5454, + "step": 3247 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.56, + "step": 3248 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 3249 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 3250 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 3251 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5574, + "step": 3252 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.678, + "step": 3253 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 3254 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 3255 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5676, + "step": 3256 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.573, + "step": 3257 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4836, + "step": 3258 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5024, + "step": 3259 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 3260 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5211, + "step": 3261 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5141, + "step": 3262 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5283, + "step": 3263 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5858, + "step": 3264 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5762, + "step": 3265 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.7023, + "step": 3266 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6864, + "step": 3267 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6661, + "step": 3268 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 3269 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6022, + "step": 3270 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4626, + "step": 3271 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5125, + "step": 3272 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 3273 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 3274 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.479, + "step": 3275 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5731, + "step": 3276 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5475, + "step": 3277 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4733, + "step": 3278 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4465, + "step": 3279 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 3280 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 3281 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6388, + "step": 3282 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 3283 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5321, + "step": 3284 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4707, + "step": 3285 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.6048, + "step": 3286 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 3287 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 3288 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 3289 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.487, + "step": 3290 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 3291 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5547, + "step": 3292 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 3293 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 3294 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 3295 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 3296 + }, + { + "epoch": 0.36, + "learning_rate": 2e-05, + "loss": 0.5844, + "step": 3297 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4744, + "step": 3298 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6691, + "step": 3299 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 3300 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.51, + "step": 3301 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 3302 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5901, + "step": 3303 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 3304 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 3305 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4965, + "step": 3306 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 3307 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 3308 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 3309 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 3310 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5335, + "step": 3311 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5475, + "step": 3312 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 3313 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 3314 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6118, + "step": 3315 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6519, + "step": 3316 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5828, + "step": 3317 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6279, + "step": 3318 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 3319 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5046, + "step": 3320 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6059, + "step": 3321 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5112, + "step": 3322 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 3323 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 3324 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 3325 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 3326 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4781, + "step": 3327 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4787, + "step": 3328 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4865, + "step": 3329 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 3330 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 3331 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5901, + "step": 3332 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6426, + "step": 3333 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 3334 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5429, + "step": 3335 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6558, + "step": 3336 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 3337 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 3338 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 3339 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 3340 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 3341 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 3342 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 3343 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 3344 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5584, + "step": 3345 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.458, + "step": 3346 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 3347 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 3348 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6484, + "step": 3349 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5663, + "step": 3350 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 3351 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 3352 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 3353 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5695, + "step": 3354 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 3355 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.7529, + "step": 3356 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6237, + "step": 3357 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6042, + "step": 3358 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5863, + "step": 3359 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5595, + "step": 3360 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 3361 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 3362 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5614, + "step": 3363 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5325, + "step": 3364 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4695, + "step": 3365 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5262, + "step": 3366 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 3367 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 3368 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 3369 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5089, + "step": 3370 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 3371 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6758, + "step": 3372 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5068, + "step": 3373 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 3374 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 3375 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5525, + "step": 3376 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6323, + "step": 3377 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 3378 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5022, + "step": 3379 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 3380 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 3381 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 3382 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4959, + "step": 3383 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 3384 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 3385 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6015, + "step": 3386 + }, + { + "epoch": 0.37, + "learning_rate": 2e-05, + "loss": 0.6331, + "step": 3387 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6555, + "step": 3388 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 3389 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 3390 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 3391 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 3392 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6254, + "step": 3393 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 3394 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5056, + "step": 3395 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 3396 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5979, + "step": 3397 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6116, + "step": 3398 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5857, + "step": 3399 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 3400 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 3401 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 3402 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 3403 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 3404 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 3405 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 3406 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6481, + "step": 3407 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6065, + "step": 3408 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 3409 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 3410 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6131, + "step": 3411 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5804, + "step": 3412 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5502, + "step": 3413 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5896, + "step": 3414 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5768, + "step": 3415 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4996, + "step": 3416 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6391, + "step": 3417 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5206, + "step": 3418 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 3419 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5231, + "step": 3420 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6352, + "step": 3421 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 3422 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6036, + "step": 3423 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6528, + "step": 3424 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5519, + "step": 3425 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 3426 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 3427 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6179, + "step": 3428 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5757, + "step": 3429 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5643, + "step": 3430 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.609, + "step": 3431 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5692, + "step": 3432 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5665, + "step": 3433 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 3434 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4254, + "step": 3435 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5156, + "step": 3436 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5622, + "step": 3437 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6591, + "step": 3438 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 3439 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6002, + "step": 3440 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6275, + "step": 3441 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5429, + "step": 3442 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 3443 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 3444 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 3445 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6698, + "step": 3446 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 3447 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6205, + "step": 3448 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 3449 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 3450 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6379, + "step": 3451 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6178, + "step": 3452 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4905, + "step": 3453 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 3454 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5691, + "step": 3455 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 3456 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6404, + "step": 3457 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6258, + "step": 3458 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5081, + "step": 3459 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 3460 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5441, + "step": 3461 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 3462 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 3463 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 3464 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 3465 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.571, + "step": 3466 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5716, + "step": 3467 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 3468 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.6306, + "step": 3469 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 3470 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 3471 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4837, + "step": 3472 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 3473 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 3474 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5413, + "step": 3475 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4635, + "step": 3476 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.4781, + "step": 3477 + }, + { + "epoch": 0.38, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 3478 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5922, + "step": 3479 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 3480 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5329, + "step": 3481 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5616, + "step": 3482 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 3483 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6137, + "step": 3484 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 3485 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 3486 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 3487 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6079, + "step": 3488 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 3489 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 3490 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6295, + "step": 3491 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 3492 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 3493 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 3494 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6349, + "step": 3495 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 3496 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 3497 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5711, + "step": 3498 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6074, + "step": 3499 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4785, + "step": 3500 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5224, + "step": 3501 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5926, + "step": 3502 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 3503 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5948, + "step": 3504 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 3505 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5321, + "step": 3506 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 3507 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5333, + "step": 3508 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5929, + "step": 3509 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5675, + "step": 3510 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 3511 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5596, + "step": 3512 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.514, + "step": 3513 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 3514 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.515, + "step": 3515 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6532, + "step": 3516 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4884, + "step": 3517 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5503, + "step": 3518 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 3519 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 3520 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5953, + "step": 3521 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 3522 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 3523 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4935, + "step": 3524 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5757, + "step": 3525 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6135, + "step": 3526 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 3527 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5835, + "step": 3528 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6614, + "step": 3529 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 3530 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4908, + "step": 3531 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 3532 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5214, + "step": 3533 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 3534 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 3535 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5336, + "step": 3536 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 3537 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 3538 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.581, + "step": 3539 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 3540 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 3541 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 3542 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 3543 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 3544 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 3545 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 3546 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 3547 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 3548 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 3549 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5659, + "step": 3550 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 3551 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5945, + "step": 3552 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.4987, + "step": 3553 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6024, + "step": 3554 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6324, + "step": 3555 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 3556 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5977, + "step": 3557 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 3558 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5464, + "step": 3559 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 3560 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 3561 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6047, + "step": 3562 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5558, + "step": 3563 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5909, + "step": 3564 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5092, + "step": 3565 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.6288, + "step": 3566 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 3567 + }, + { + "epoch": 0.39, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 3568 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 3569 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5814, + "step": 3570 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5879, + "step": 3571 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6108, + "step": 3572 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4742, + "step": 3573 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5986, + "step": 3574 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 3575 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4863, + "step": 3576 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 3577 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 3578 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5854, + "step": 3579 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.7259, + "step": 3580 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 3581 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6934, + "step": 3582 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6243, + "step": 3583 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5223, + "step": 3584 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 3585 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4995, + "step": 3586 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 3587 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 3588 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 3589 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 3590 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 3591 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 3592 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 3593 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 3594 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5999, + "step": 3595 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4478, + "step": 3596 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 3597 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 3598 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5576, + "step": 3599 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5893, + "step": 3600 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5373, + "step": 3601 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 3602 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4586, + "step": 3603 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 3604 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6377, + "step": 3605 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 3606 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5536, + "step": 3607 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 3608 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6086, + "step": 3609 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5101, + "step": 3610 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5562, + "step": 3611 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 3612 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 3613 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 3614 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 3615 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5809, + "step": 3616 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5318, + "step": 3617 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 3618 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5254, + "step": 3619 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5945, + "step": 3620 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5095, + "step": 3621 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5629, + "step": 3622 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 3623 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5231, + "step": 3624 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6203, + "step": 3625 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6453, + "step": 3626 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6121, + "step": 3627 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 3628 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5753, + "step": 3629 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5509, + "step": 3630 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 3631 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5627, + "step": 3632 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5658, + "step": 3633 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 3634 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5897, + "step": 3635 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4952, + "step": 3636 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 3637 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 3638 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6568, + "step": 3639 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5894, + "step": 3640 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 3641 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5862, + "step": 3642 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5001, + "step": 3643 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4887, + "step": 3644 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5853, + "step": 3645 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 3646 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4366, + "step": 3647 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6013, + "step": 3648 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 3649 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 3650 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.6337, + "step": 3651 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5663, + "step": 3652 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 3653 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 3654 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 3655 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 3656 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.5822, + "step": 3657 + }, + { + "epoch": 0.4, + "learning_rate": 2e-05, + "loss": 0.4846, + "step": 3658 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5518, + "step": 3659 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6268, + "step": 3660 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5493, + "step": 3661 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5113, + "step": 3662 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6187, + "step": 3663 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.461, + "step": 3664 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 3665 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 3666 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 3667 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.682, + "step": 3668 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 3669 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5769, + "step": 3670 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 3671 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 3672 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4797, + "step": 3673 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 3674 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 3675 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5512, + "step": 3676 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4783, + "step": 3677 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6081, + "step": 3678 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 3679 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 3680 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6078, + "step": 3681 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5737, + "step": 3682 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 3683 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5406, + "step": 3684 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 3685 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5883, + "step": 3686 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5994, + "step": 3687 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 3688 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 3689 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4634, + "step": 3690 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 3691 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5285, + "step": 3692 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 3693 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5772, + "step": 3694 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 3695 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4914, + "step": 3696 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4946, + "step": 3697 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 3698 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5471, + "step": 3699 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4651, + "step": 3700 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5943, + "step": 3701 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5792, + "step": 3702 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5904, + "step": 3703 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4987, + "step": 3704 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 3705 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 3706 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5984, + "step": 3707 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6092, + "step": 3708 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6711, + "step": 3709 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5586, + "step": 3710 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6537, + "step": 3711 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5384, + "step": 3712 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 3713 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 3714 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 3715 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.7022, + "step": 3716 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 3717 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 3718 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 3719 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 3720 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.599, + "step": 3721 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 3722 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5079, + "step": 3723 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 3724 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6457, + "step": 3725 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6569, + "step": 3726 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 3727 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 3728 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5496, + "step": 3729 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5568, + "step": 3730 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5647, + "step": 3731 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5394, + "step": 3732 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 3733 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 3734 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 3735 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 3736 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.4945, + "step": 3737 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5276, + "step": 3738 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.605, + "step": 3739 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 3740 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5588, + "step": 3741 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 3742 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 3743 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 3744 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 3745 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5261, + "step": 3746 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 3747 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 3748 + }, + { + "epoch": 0.41, + "learning_rate": 2e-05, + "loss": 0.6871, + "step": 3749 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4987, + "step": 3750 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.592, + "step": 3751 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6214, + "step": 3752 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 3753 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 3754 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 3755 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5715, + "step": 3756 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 3757 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 3758 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 3759 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 3760 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6009, + "step": 3761 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 3762 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 3763 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 3764 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 3765 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.482, + "step": 3766 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.671, + "step": 3767 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5377, + "step": 3768 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 3769 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 3770 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 3771 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 3772 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4777, + "step": 3773 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 3774 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5277, + "step": 3775 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 3776 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.7248, + "step": 3777 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 3778 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 3779 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 3780 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 3781 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6313, + "step": 3782 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 3783 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 3784 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4464, + "step": 3785 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5328, + "step": 3786 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 3787 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6416, + "step": 3788 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4515, + "step": 3789 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5999, + "step": 3790 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5902, + "step": 3791 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5928, + "step": 3792 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 3793 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 3794 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 3795 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5423, + "step": 3796 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 3797 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 3798 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5188, + "step": 3799 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5263, + "step": 3800 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.598, + "step": 3801 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 3802 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 3803 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6157, + "step": 3804 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6018, + "step": 3805 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 3806 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6397, + "step": 3807 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5939, + "step": 3808 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4731, + "step": 3809 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5493, + "step": 3810 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 3811 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 3812 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 3813 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6179, + "step": 3814 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5886, + "step": 3815 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6193, + "step": 3816 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 3817 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 3818 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5348, + "step": 3819 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 3820 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4685, + "step": 3821 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 3822 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5765, + "step": 3823 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 3824 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5876, + "step": 3825 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 3826 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.6084, + "step": 3827 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.7125, + "step": 3828 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5048, + "step": 3829 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 3830 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5309, + "step": 3831 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5877, + "step": 3832 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.582, + "step": 3833 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 3834 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5309, + "step": 3835 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5248, + "step": 3836 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5579, + "step": 3837 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5524, + "step": 3838 + }, + { + "epoch": 0.42, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 3839 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6006, + "step": 3840 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5862, + "step": 3841 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 3842 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5538, + "step": 3843 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 3844 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 3845 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4601, + "step": 3846 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 3847 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 3848 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.586, + "step": 3849 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6514, + "step": 3850 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6176, + "step": 3851 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5063, + "step": 3852 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5165, + "step": 3853 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.496, + "step": 3854 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 3855 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5231, + "step": 3856 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 3857 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 3858 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6233, + "step": 3859 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5604, + "step": 3860 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 3861 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5192, + "step": 3862 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4905, + "step": 3863 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 3864 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 3865 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 3866 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4572, + "step": 3867 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 3868 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6266, + "step": 3869 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5811, + "step": 3870 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4985, + "step": 3871 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5443, + "step": 3872 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 3873 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5224, + "step": 3874 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5283, + "step": 3875 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5674, + "step": 3876 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 3877 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6603, + "step": 3878 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 3879 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 3880 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5277, + "step": 3881 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4946, + "step": 3882 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 3883 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6204, + "step": 3884 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6402, + "step": 3885 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5339, + "step": 3886 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 3887 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 3888 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5542, + "step": 3889 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 3890 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5079, + "step": 3891 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 3892 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4811, + "step": 3893 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 3894 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5004, + "step": 3895 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4995, + "step": 3896 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 3897 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 3898 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6146, + "step": 3899 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5851, + "step": 3900 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5389, + "step": 3901 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4856, + "step": 3902 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5801, + "step": 3903 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 3904 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 3905 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 3906 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6733, + "step": 3907 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5037, + "step": 3908 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 3909 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5743, + "step": 3910 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5976, + "step": 3911 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 3912 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 3913 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 3914 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 3915 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 3916 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 3917 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5607, + "step": 3918 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4907, + "step": 3919 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 3920 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5898, + "step": 3921 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 3922 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.6353, + "step": 3923 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 3924 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5855, + "step": 3925 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.4484, + "step": 3926 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 3927 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5825, + "step": 3928 + }, + { + "epoch": 0.43, + "learning_rate": 2e-05, + "loss": 0.5068, + "step": 3929 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 3930 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6061, + "step": 3931 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6383, + "step": 3932 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 3933 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 3934 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5952, + "step": 3935 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5639, + "step": 3936 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5264, + "step": 3937 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5632, + "step": 3938 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 3939 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4539, + "step": 3940 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.507, + "step": 3941 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5625, + "step": 3942 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6296, + "step": 3943 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 3944 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5263, + "step": 3945 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6331, + "step": 3946 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 3947 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6055, + "step": 3948 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5969, + "step": 3949 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 3950 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6374, + "step": 3951 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6943, + "step": 3952 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 3953 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 3954 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5601, + "step": 3955 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5736, + "step": 3956 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 3957 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 3958 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6785, + "step": 3959 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6768, + "step": 3960 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6382, + "step": 3961 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 3962 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 3963 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6413, + "step": 3964 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.506, + "step": 3965 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 3966 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 3967 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6344, + "step": 3968 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5884, + "step": 3969 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 3970 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 3971 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6579, + "step": 3972 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5955, + "step": 3973 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6728, + "step": 3974 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 3975 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 3976 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.46, + "step": 3977 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5813, + "step": 3978 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4933, + "step": 3979 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 3980 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5667, + "step": 3981 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 3982 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4629, + "step": 3983 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.491, + "step": 3984 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 3985 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4594, + "step": 3986 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5963, + "step": 3987 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 3988 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 3989 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5757, + "step": 3990 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 3991 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6495, + "step": 3992 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 3993 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5848, + "step": 3994 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6246, + "step": 3995 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 3996 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5058, + "step": 3997 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 3998 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 3999 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 4000 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.6309, + "step": 4001 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 4002 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4615, + "step": 4003 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 4004 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 4005 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5753, + "step": 4006 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5865, + "step": 4007 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 4008 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 4009 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.548, + "step": 4010 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.7164, + "step": 4011 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 4012 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 4013 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5683, + "step": 4014 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 4015 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5097, + "step": 4016 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5705, + "step": 4017 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5029, + "step": 4018 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 4019 + }, + { + "epoch": 0.44, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 4020 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5342, + "step": 4021 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5267, + "step": 4022 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 4023 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 4024 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 4025 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.543, + "step": 4026 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6782, + "step": 4027 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.57, + "step": 4028 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.7874, + "step": 4029 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5923, + "step": 4030 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 4031 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 4032 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 4033 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6364, + "step": 4034 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 4035 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 4036 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 4037 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5615, + "step": 4038 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5043, + "step": 4039 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5959, + "step": 4040 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4996, + "step": 4041 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 4042 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 4043 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 4044 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 4045 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 4046 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6421, + "step": 4047 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 4048 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6069, + "step": 4049 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5106, + "step": 4050 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5889, + "step": 4051 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 4052 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 4053 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5758, + "step": 4054 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6218, + "step": 4055 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 4056 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 4057 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 4058 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4936, + "step": 4059 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 4060 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 4061 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5114, + "step": 4062 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 4063 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 4064 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 4065 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 4066 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 4067 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 4068 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4622, + "step": 4069 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5324, + "step": 4070 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6092, + "step": 4071 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 4072 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5687, + "step": 4073 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 4074 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.616, + "step": 4075 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 4076 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6313, + "step": 4077 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4597, + "step": 4078 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.676, + "step": 4079 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5659, + "step": 4080 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 4081 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 4082 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 4083 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5401, + "step": 4084 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 4085 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.517, + "step": 4086 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5107, + "step": 4087 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6148, + "step": 4088 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5602, + "step": 4089 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6124, + "step": 4090 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5372, + "step": 4091 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6372, + "step": 4092 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 4093 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 4094 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5525, + "step": 4095 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5996, + "step": 4096 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6303, + "step": 4097 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 4098 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5919, + "step": 4099 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6307, + "step": 4100 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 4101 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6315, + "step": 4102 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5496, + "step": 4103 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 4104 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 4105 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.6452, + "step": 4106 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5588, + "step": 4107 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 4108 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 4109 + }, + { + "epoch": 0.45, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 4110 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.493, + "step": 4111 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5961, + "step": 4112 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 4113 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5224, + "step": 4114 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.533, + "step": 4115 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 4116 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5928, + "step": 4117 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 4118 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 4119 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6303, + "step": 4120 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5863, + "step": 4121 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 4122 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 4123 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 4124 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 4125 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5262, + "step": 4126 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 4127 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6661, + "step": 4128 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6399, + "step": 4129 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5699, + "step": 4130 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 4131 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 4132 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5759, + "step": 4133 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 4134 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5972, + "step": 4135 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4486, + "step": 4136 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6342, + "step": 4137 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6613, + "step": 4138 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 4139 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.644, + "step": 4140 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6785, + "step": 4141 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 4142 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 4143 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5917, + "step": 4144 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6099, + "step": 4145 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 4146 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.651, + "step": 4147 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 4148 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.523, + "step": 4149 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 4150 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 4151 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6203, + "step": 4152 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.7335, + "step": 4153 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6299, + "step": 4154 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 4155 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5933, + "step": 4156 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.566, + "step": 4157 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 4158 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5107, + "step": 4159 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5408, + "step": 4160 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 4161 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6105, + "step": 4162 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4933, + "step": 4163 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 4164 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5884, + "step": 4165 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5528, + "step": 4166 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 4167 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4811, + "step": 4168 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5366, + "step": 4169 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5229, + "step": 4170 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6889, + "step": 4171 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 4172 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5396, + "step": 4173 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.626, + "step": 4174 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 4175 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 4176 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5801, + "step": 4177 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 4178 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 4179 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4938, + "step": 4180 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4922, + "step": 4181 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.585, + "step": 4182 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 4183 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 4184 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5871, + "step": 4185 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5734, + "step": 4186 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5553, + "step": 4187 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6805, + "step": 4188 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5413, + "step": 4189 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 4190 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6222, + "step": 4191 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 4192 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 4193 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.534, + "step": 4194 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 4195 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5144, + "step": 4196 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 4197 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.5627, + "step": 4198 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.6153, + "step": 4199 + }, + { + "epoch": 0.46, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 4200 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 4201 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 4202 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 4203 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 4204 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 4205 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 4206 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 4207 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 4208 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 4209 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6751, + "step": 4210 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.464, + "step": 4211 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5083, + "step": 4212 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.523, + "step": 4213 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6268, + "step": 4214 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5773, + "step": 4215 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 4216 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 4217 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5984, + "step": 4218 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6418, + "step": 4219 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4995, + "step": 4220 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5347, + "step": 4221 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4883, + "step": 4222 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5288, + "step": 4223 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.598, + "step": 4224 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 4225 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5036, + "step": 4226 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 4227 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5115, + "step": 4228 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6079, + "step": 4229 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5002, + "step": 4230 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 4231 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5693, + "step": 4232 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5226, + "step": 4233 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6331, + "step": 4234 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 4235 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5635, + "step": 4236 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6584, + "step": 4237 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6818, + "step": 4238 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5644, + "step": 4239 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5664, + "step": 4240 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 4241 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 4242 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 4243 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 4244 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 4245 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6811, + "step": 4246 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5747, + "step": 4247 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 4248 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6188, + "step": 4249 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 4250 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 4251 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.597, + "step": 4252 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6336, + "step": 4253 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5705, + "step": 4254 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 4255 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5165, + "step": 4256 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 4257 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 4258 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 4259 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6199, + "step": 4260 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6004, + "step": 4261 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5692, + "step": 4262 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5157, + "step": 4263 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5459, + "step": 4264 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5733, + "step": 4265 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 4266 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6069, + "step": 4267 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 4268 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4808, + "step": 4269 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5184, + "step": 4270 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5756, + "step": 4271 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 4272 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 4273 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 4274 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4611, + "step": 4275 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 4276 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 4277 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.496, + "step": 4278 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4428, + "step": 4279 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.7055, + "step": 4280 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 4281 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5985, + "step": 4282 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 4283 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.6211, + "step": 4284 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4603, + "step": 4285 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 4286 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 4287 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 4288 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5741, + "step": 4289 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.5612, + "step": 4290 + }, + { + "epoch": 0.47, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 4291 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 4292 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5946, + "step": 4293 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 4294 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6062, + "step": 4295 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 4296 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 4297 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 4298 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 4299 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 4300 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6285, + "step": 4301 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.7086, + "step": 4302 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4975, + "step": 4303 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 4304 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 4305 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 4306 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5791, + "step": 4307 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 4308 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 4309 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 4310 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5509, + "step": 4311 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5775, + "step": 4312 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 4313 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5499, + "step": 4314 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4329, + "step": 4315 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 4316 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5753, + "step": 4317 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 4318 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.562, + "step": 4319 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 4320 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6359, + "step": 4321 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6143, + "step": 4322 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 4323 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 4324 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 4325 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 4326 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 4327 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6634, + "step": 4328 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 4329 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5403, + "step": 4330 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 4331 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 4332 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 4333 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5037, + "step": 4334 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 4335 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.486, + "step": 4336 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 4337 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4876, + "step": 4338 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 4339 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.628, + "step": 4340 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 4341 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5403, + "step": 4342 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5216, + "step": 4343 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5174, + "step": 4344 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 4345 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6678, + "step": 4346 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 4347 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6565, + "step": 4348 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5725, + "step": 4349 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5454, + "step": 4350 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4353, + "step": 4351 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 4352 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 4353 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 4354 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6808, + "step": 4355 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5058, + "step": 4356 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6345, + "step": 4357 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4865, + "step": 4358 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 4359 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 4360 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 4361 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4922, + "step": 4362 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 4363 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 4364 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4543, + "step": 4365 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 4366 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6096, + "step": 4367 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5498, + "step": 4368 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.568, + "step": 4369 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 4370 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 4371 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 4372 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 4373 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 4374 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.6119, + "step": 4375 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5305, + "step": 4376 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.4437, + "step": 4377 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5692, + "step": 4378 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5098, + "step": 4379 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5756, + "step": 4380 + }, + { + "epoch": 0.48, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 4381 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 4382 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 4383 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 4384 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5414, + "step": 4385 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4752, + "step": 4386 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 4387 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 4388 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5524, + "step": 4389 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 4390 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6306, + "step": 4391 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 4392 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 4393 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5842, + "step": 4394 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6251, + "step": 4395 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6431, + "step": 4396 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 4397 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6538, + "step": 4398 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.657, + "step": 4399 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6913, + "step": 4400 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4948, + "step": 4401 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5746, + "step": 4402 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 4403 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 4404 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.545, + "step": 4405 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4709, + "step": 4406 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 4407 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5411, + "step": 4408 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4765, + "step": 4409 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 4410 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 4411 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 4412 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 4413 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5574, + "step": 4414 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 4415 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 4416 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 4417 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 4418 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5266, + "step": 4419 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 4420 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6482, + "step": 4421 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 4422 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5811, + "step": 4423 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 4424 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6035, + "step": 4425 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 4426 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4479, + "step": 4427 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5852, + "step": 4428 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 4429 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 4430 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5837, + "step": 4431 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4977, + "step": 4432 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6394, + "step": 4433 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6571, + "step": 4434 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.576, + "step": 4435 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 4436 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5243, + "step": 4437 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 4438 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6375, + "step": 4439 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6173, + "step": 4440 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4476, + "step": 4441 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 4442 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6044, + "step": 4443 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 4444 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5931, + "step": 4445 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5024, + "step": 4446 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 4447 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 4448 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 4449 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6594, + "step": 4450 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 4451 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5317, + "step": 4452 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 4453 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 4454 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4729, + "step": 4455 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6529, + "step": 4456 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 4457 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 4458 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4402, + "step": 4459 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 4460 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 4461 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4781, + "step": 4462 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5772, + "step": 4463 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.4673, + "step": 4464 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5812, + "step": 4465 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5767, + "step": 4466 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 4467 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5787, + "step": 4468 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.448, + "step": 4469 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.5491, + "step": 4470 + }, + { + "epoch": 0.49, + "learning_rate": 2e-05, + "loss": 0.6317, + "step": 4471 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6025, + "step": 4472 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5681, + "step": 4473 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5989, + "step": 4474 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 4475 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5881, + "step": 4476 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 4477 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5074, + "step": 4478 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5563, + "step": 4479 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5399, + "step": 4480 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 4481 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 4482 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 4483 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5761, + "step": 4484 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4361, + "step": 4485 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 4486 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 4487 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.7136, + "step": 4488 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4917, + "step": 4489 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5801, + "step": 4490 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 4491 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5792, + "step": 4492 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5219, + "step": 4493 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 4494 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 4495 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 4496 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 4497 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 4498 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5673, + "step": 4499 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6082, + "step": 4500 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4678, + "step": 4501 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5651, + "step": 4502 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6023, + "step": 4503 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 4504 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6944, + "step": 4505 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5518, + "step": 4506 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5049, + "step": 4507 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 4508 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 4509 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 4510 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4706, + "step": 4511 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 4512 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5325, + "step": 4513 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 4514 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6491, + "step": 4515 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 4516 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.57, + "step": 4517 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5783, + "step": 4518 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4997, + "step": 4519 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6786, + "step": 4520 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 4521 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5963, + "step": 4522 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 4523 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5394, + "step": 4524 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5142, + "step": 4525 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 4526 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6428, + "step": 4527 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 4528 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.562, + "step": 4529 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5178, + "step": 4530 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 4531 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 4532 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.571, + "step": 4533 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5519, + "step": 4534 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 4535 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 4536 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 4537 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 4538 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6688, + "step": 4539 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4541, + "step": 4540 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4426, + "step": 4541 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4539, + "step": 4542 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5975, + "step": 4543 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 4544 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5715, + "step": 4545 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 4546 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5971, + "step": 4547 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5046, + "step": 4548 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 4549 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5559, + "step": 4550 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6035, + "step": 4551 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 4552 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5101, + "step": 4553 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6376, + "step": 4554 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6058, + "step": 4555 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 4556 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5089, + "step": 4557 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5819, + "step": 4558 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 4559 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 4560 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 4561 + }, + { + "epoch": 0.5, + "learning_rate": 2e-05, + "loss": 0.6295, + "step": 4562 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 4563 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5757, + "step": 4564 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 4565 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 4566 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 4567 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 4568 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 4569 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 4570 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 4571 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 4572 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6769, + "step": 4573 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5867, + "step": 4574 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 4575 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 4576 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5995, + "step": 4577 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 4578 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 4579 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6523, + "step": 4580 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 4581 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 4582 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 4583 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6496, + "step": 4584 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 4585 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 4586 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 4587 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 4588 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 4589 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 4590 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5174, + "step": 4591 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 4592 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4672, + "step": 4593 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 4594 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 4595 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 4596 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 4597 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 4598 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.511, + "step": 4599 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4659, + "step": 4600 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4345, + "step": 4601 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 4602 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 4603 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5432, + "step": 4604 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6188, + "step": 4605 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 4606 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 4607 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 4608 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 4609 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 4610 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 4611 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5259, + "step": 4612 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6317, + "step": 4613 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4572, + "step": 4614 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5542, + "step": 4615 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 4616 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 4617 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5223, + "step": 4618 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 4619 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5367, + "step": 4620 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4524, + "step": 4621 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 4622 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 4623 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 4624 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 4625 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6357, + "step": 4626 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5512, + "step": 4627 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5367, + "step": 4628 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 4629 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 4630 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 4631 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 4632 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 4633 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 4634 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4395, + "step": 4635 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 4636 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 4637 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 4638 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 4639 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 4640 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5245, + "step": 4641 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.6655, + "step": 4642 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5484, + "step": 4643 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 4644 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 4645 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5006, + "step": 4646 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 4647 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 4648 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 4649 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.5184, + "step": 4650 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.4722, + "step": 4651 + }, + { + "epoch": 0.51, + "learning_rate": 2e-05, + "loss": 0.565, + "step": 4652 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 4653 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 4654 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5933, + "step": 4655 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5959, + "step": 4656 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.639, + "step": 4657 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6805, + "step": 4658 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6045, + "step": 4659 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 4660 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 4661 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 4662 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 4663 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4707, + "step": 4664 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6267, + "step": 4665 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5595, + "step": 4666 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.597, + "step": 4667 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4861, + "step": 4668 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4947, + "step": 4669 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 4670 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 4671 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 4672 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6186, + "step": 4673 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4887, + "step": 4674 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6246, + "step": 4675 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 4676 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6029, + "step": 4677 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6098, + "step": 4678 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5878, + "step": 4679 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 4680 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 4681 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6014, + "step": 4682 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6492, + "step": 4683 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6331, + "step": 4684 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 4685 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 4686 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5261, + "step": 4687 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 4688 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 4689 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5064, + "step": 4690 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 4691 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5698, + "step": 4692 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4528, + "step": 4693 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5674, + "step": 4694 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.514, + "step": 4695 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 4696 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5309, + "step": 4697 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 4698 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 4699 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 4700 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6582, + "step": 4701 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 4702 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 4703 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 4704 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6115, + "step": 4705 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 4706 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5874, + "step": 4707 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 4708 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 4709 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6098, + "step": 4710 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4645, + "step": 4711 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6304, + "step": 4712 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 4713 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 4714 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6083, + "step": 4715 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4993, + "step": 4716 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5204, + "step": 4717 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6444, + "step": 4718 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4851, + "step": 4719 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 4720 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 4721 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 4722 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6695, + "step": 4723 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4843, + "step": 4724 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 4725 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 4726 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6063, + "step": 4727 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 4728 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 4729 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 4730 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 4731 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.6084, + "step": 4732 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 4733 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4887, + "step": 4734 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5487, + "step": 4735 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5655, + "step": 4736 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 4737 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5736, + "step": 4738 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 4739 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 4740 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 4741 + }, + { + "epoch": 0.52, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 4742 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 4743 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 4744 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 4745 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.636, + "step": 4746 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4915, + "step": 4747 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 4748 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5932, + "step": 4749 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 4750 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5538, + "step": 4751 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4936, + "step": 4752 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5688, + "step": 4753 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 4754 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 4755 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5674, + "step": 4756 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 4757 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 4758 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 4759 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 4760 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6182, + "step": 4761 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 4762 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4584, + "step": 4763 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 4764 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 4765 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5667, + "step": 4766 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5784, + "step": 4767 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 4768 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4328, + "step": 4769 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 4770 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 4771 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 4772 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5219, + "step": 4773 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4511, + "step": 4774 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 4775 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 4776 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 4777 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4805, + "step": 4778 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5535, + "step": 4779 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6207, + "step": 4780 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5859, + "step": 4781 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 4782 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5846, + "step": 4783 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5192, + "step": 4784 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6199, + "step": 4785 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 4786 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6197, + "step": 4787 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 4788 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 4789 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 4790 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5819, + "step": 4791 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 4792 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 4793 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5937, + "step": 4794 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 4795 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 4796 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6061, + "step": 4797 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4939, + "step": 4798 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 4799 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5925, + "step": 4800 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 4801 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 4802 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5876, + "step": 4803 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5419, + "step": 4804 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5859, + "step": 4805 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 4806 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 4807 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 4808 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5299, + "step": 4809 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 4810 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6203, + "step": 4811 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6265, + "step": 4812 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 4813 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 4814 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5662, + "step": 4815 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 4816 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 4817 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5872, + "step": 4818 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 4819 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.6099, + "step": 4820 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 4821 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 4822 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5806, + "step": 4823 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4404, + "step": 4824 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4786, + "step": 4825 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 4826 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 4827 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5795, + "step": 4828 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 4829 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5232, + "step": 4830 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5347, + "step": 4831 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 4832 + }, + { + "epoch": 0.53, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 4833 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.6586, + "step": 4834 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 4835 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 4836 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 4837 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4818, + "step": 4838 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5524, + "step": 4839 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 4840 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5216, + "step": 4841 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 4842 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.6926, + "step": 4843 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 4844 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4312, + "step": 4845 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4709, + "step": 4846 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5694, + "step": 4847 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 4848 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.513, + "step": 4849 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5265, + "step": 4850 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.641, + "step": 4851 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 4852 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 4853 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4526, + "step": 4854 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5799, + "step": 4855 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 4856 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 4857 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4817, + "step": 4858 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5819, + "step": 4859 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5338, + "step": 4860 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.599, + "step": 4861 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 4862 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 4863 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5591, + "step": 4864 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 4865 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 4866 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.431, + "step": 4867 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5161, + "step": 4868 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 4869 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 4870 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.6622, + "step": 4871 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 4872 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 4873 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 4874 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 4875 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.6834, + "step": 4876 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5693, + "step": 4877 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 4878 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5663, + "step": 4879 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4935, + "step": 4880 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.618, + "step": 4881 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 4882 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5738, + "step": 4883 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 4884 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.628, + "step": 4885 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 4886 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.613, + "step": 4887 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 4888 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 4889 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 4890 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 4891 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.435, + "step": 4892 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 4893 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4937, + "step": 4894 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5154, + "step": 4895 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 4896 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 4897 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4829, + "step": 4898 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 4899 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5396, + "step": 4900 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 4901 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4849, + "step": 4902 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 4903 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 4904 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5953, + "step": 4905 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 4906 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5749, + "step": 4907 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5887, + "step": 4908 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 4909 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 4910 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 4911 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 4912 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 4913 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 4914 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5395, + "step": 4915 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4734, + "step": 4916 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 4917 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5161, + "step": 4918 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 4919 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 4920 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 4921 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.6095, + "step": 4922 + }, + { + "epoch": 0.54, + "learning_rate": 2e-05, + "loss": 0.5637, + "step": 4923 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4957, + "step": 4924 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4671, + "step": 4925 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6769, + "step": 4926 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5004, + "step": 4927 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5429, + "step": 4928 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5973, + "step": 4929 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6243, + "step": 4930 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.59, + "step": 4931 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5457, + "step": 4932 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 4933 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5943, + "step": 4934 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.472, + "step": 4935 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5066, + "step": 4936 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 4937 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6803, + "step": 4938 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.612, + "step": 4939 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5395, + "step": 4940 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6067, + "step": 4941 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 4942 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 4943 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5343, + "step": 4944 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5219, + "step": 4945 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 4946 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6124, + "step": 4947 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6015, + "step": 4948 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4969, + "step": 4949 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6298, + "step": 4950 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 4951 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 4952 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5842, + "step": 4953 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5115, + "step": 4954 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 4955 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5457, + "step": 4956 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 4957 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5324, + "step": 4958 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 4959 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5808, + "step": 4960 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 4961 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5391, + "step": 4962 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 4963 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 4964 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 4965 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 4966 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 4967 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5875, + "step": 4968 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5767, + "step": 4969 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 4970 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4867, + "step": 4971 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5453, + "step": 4972 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5074, + "step": 4973 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 4974 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5617, + "step": 4975 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.531, + "step": 4976 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 4977 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4984, + "step": 4978 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 4979 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4901, + "step": 4980 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 4981 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6362, + "step": 4982 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.7188, + "step": 4983 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 4984 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 4985 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5802, + "step": 4986 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5372, + "step": 4987 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 4988 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6841, + "step": 4989 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 4990 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 4991 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5338, + "step": 4992 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.687, + "step": 4993 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.459, + "step": 4994 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5949, + "step": 4995 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 4996 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 4997 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.461, + "step": 4998 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 4999 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.567, + "step": 5000 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 5001 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5576, + "step": 5002 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6527, + "step": 5003 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 5004 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.4668, + "step": 5005 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 5006 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5676, + "step": 5007 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 5008 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5182, + "step": 5009 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 5010 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5271, + "step": 5011 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.6559, + "step": 5012 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5844, + "step": 5013 + }, + { + "epoch": 0.55, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 5014 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.55, + "step": 5015 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 5016 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 5017 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 5018 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5756, + "step": 5019 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6136, + "step": 5020 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5042, + "step": 5021 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5923, + "step": 5022 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 5023 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 5024 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6119, + "step": 5025 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5702, + "step": 5026 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5999, + "step": 5027 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.7634, + "step": 5028 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6015, + "step": 5029 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4972, + "step": 5030 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 5031 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 5032 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.652, + "step": 5033 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5672, + "step": 5034 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6507, + "step": 5035 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 5036 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 5037 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 5038 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5759, + "step": 5039 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.513, + "step": 5040 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.612, + "step": 5041 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5498, + "step": 5042 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5199, + "step": 5043 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.59, + "step": 5044 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4861, + "step": 5045 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6076, + "step": 5046 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 5047 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 5048 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5858, + "step": 5049 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.486, + "step": 5050 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5343, + "step": 5051 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 5052 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5641, + "step": 5053 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5064, + "step": 5054 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6522, + "step": 5055 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 5056 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 5057 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5787, + "step": 5058 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5322, + "step": 5059 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 5060 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5845, + "step": 5061 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 5062 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5601, + "step": 5063 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 5064 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 5065 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 5066 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 5067 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6222, + "step": 5068 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 5069 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 5070 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5322, + "step": 5071 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 5072 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 5073 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.592, + "step": 5074 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 5075 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5499, + "step": 5076 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 5077 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5259, + "step": 5078 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6172, + "step": 5079 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4731, + "step": 5080 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 5081 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 5082 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.6181, + "step": 5083 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4538, + "step": 5084 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.475, + "step": 5085 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5159, + "step": 5086 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5509, + "step": 5087 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5667, + "step": 5088 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4995, + "step": 5089 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 5090 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5148, + "step": 5091 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 5092 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5175, + "step": 5093 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 5094 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 5095 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5506, + "step": 5096 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5109, + "step": 5097 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 5098 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 5099 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 5100 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 5101 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 5102 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 5103 + }, + { + "epoch": 0.56, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 5104 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 5105 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4712, + "step": 5106 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4713, + "step": 5107 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 5108 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 5109 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4851, + "step": 5110 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4876, + "step": 5111 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 5112 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4901, + "step": 5113 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 5114 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 5115 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 5116 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 5117 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4805, + "step": 5118 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 5119 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.557, + "step": 5120 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 5121 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4944, + "step": 5122 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 5123 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 5124 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 5125 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5859, + "step": 5126 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5127 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 5128 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5669, + "step": 5129 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5792, + "step": 5130 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 5131 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 5132 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 5133 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.6135, + "step": 5134 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4669, + "step": 5135 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.6673, + "step": 5136 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 5137 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 5138 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 5139 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 5140 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.7173, + "step": 5141 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 5142 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 5143 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 5144 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 5145 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 5146 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5827, + "step": 5147 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.534, + "step": 5148 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5651, + "step": 5149 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5408, + "step": 5150 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 5151 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4784, + "step": 5152 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4861, + "step": 5153 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 5154 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 5155 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5278, + "step": 5156 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5004, + "step": 5157 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 5158 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.622, + "step": 5159 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.6085, + "step": 5160 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5668, + "step": 5161 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.7107, + "step": 5162 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 5163 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 5164 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 5165 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 5166 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4786, + "step": 5167 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 5168 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 5169 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 5170 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5263, + "step": 5171 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4796, + "step": 5172 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5392, + "step": 5173 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.583, + "step": 5174 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.475, + "step": 5175 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5894, + "step": 5176 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.6904, + "step": 5177 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.3943, + "step": 5178 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.7004, + "step": 5179 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5335, + "step": 5180 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.6115, + "step": 5181 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5103, + "step": 5182 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5239, + "step": 5183 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4876, + "step": 5184 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4812, + "step": 5185 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 5186 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 5187 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 5188 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 5189 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.4479, + "step": 5190 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.545, + "step": 5191 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 5192 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 5193 + }, + { + "epoch": 0.57, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 5194 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5591, + "step": 5195 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 5196 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 5197 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 5198 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5789, + "step": 5199 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6741, + "step": 5200 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 5201 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5419, + "step": 5202 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 5203 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.7155, + "step": 5204 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6432, + "step": 5205 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5632, + "step": 5206 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 5207 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4437, + "step": 5208 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5586, + "step": 5209 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 5210 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6432, + "step": 5211 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4116, + "step": 5212 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4851, + "step": 5213 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 5214 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6166, + "step": 5215 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 5216 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4804, + "step": 5217 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 5218 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5392, + "step": 5219 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.56, + "step": 5220 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6595, + "step": 5221 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 5222 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4977, + "step": 5223 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 5224 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 5225 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5458, + "step": 5226 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 5227 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 5228 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 5229 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 5230 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 5231 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 5232 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 5233 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4725, + "step": 5234 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 5235 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 5236 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 5237 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 5238 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5101, + "step": 5239 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 5240 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 5241 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5001, + "step": 5242 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5423, + "step": 5243 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 5244 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6326, + "step": 5245 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 5246 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 5247 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5499, + "step": 5248 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4627, + "step": 5249 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 5250 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 5251 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6031, + "step": 5252 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 5253 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 5254 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5899, + "step": 5255 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 5256 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 5257 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 5258 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 5259 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5779, + "step": 5260 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 5261 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5854, + "step": 5262 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6939, + "step": 5263 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 5264 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.624, + "step": 5265 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5414, + "step": 5266 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5894, + "step": 5267 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6281, + "step": 5268 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 5269 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5413, + "step": 5270 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5928, + "step": 5271 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6073, + "step": 5272 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4816, + "step": 5273 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 5274 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 5275 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 5276 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6223, + "step": 5277 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6288, + "step": 5278 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4944, + "step": 5279 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.4852, + "step": 5280 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.6193, + "step": 5281 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.616, + "step": 5282 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 5283 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.494, + "step": 5284 + }, + { + "epoch": 0.58, + "learning_rate": 2e-05, + "loss": 0.5892, + "step": 5285 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.506, + "step": 5286 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4785, + "step": 5287 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 5288 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6052, + "step": 5289 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4926, + "step": 5290 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 5291 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5445, + "step": 5292 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5081, + "step": 5293 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4709, + "step": 5294 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.571, + "step": 5295 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 5296 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5901, + "step": 5297 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 5298 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5966, + "step": 5299 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6056, + "step": 5300 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5157, + "step": 5301 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 5302 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4858, + "step": 5303 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 5304 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6225, + "step": 5305 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 5306 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6012, + "step": 5307 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5637, + "step": 5308 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5925, + "step": 5309 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5023, + "step": 5310 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 5311 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 5312 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 5313 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 5314 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4568, + "step": 5315 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4686, + "step": 5316 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4813, + "step": 5317 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 5318 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 5319 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 5320 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 5321 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 5322 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5885, + "step": 5323 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5488, + "step": 5324 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5487, + "step": 5325 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 5326 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.533, + "step": 5327 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6093, + "step": 5328 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 5329 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 5330 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5366, + "step": 5331 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 5332 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4896, + "step": 5333 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 5334 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 5335 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 5336 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 5337 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 5338 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5498, + "step": 5339 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5195, + "step": 5340 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 5341 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6896, + "step": 5342 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4907, + "step": 5343 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5957, + "step": 5344 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5711, + "step": 5345 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5941, + "step": 5346 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 5347 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5949, + "step": 5348 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6207, + "step": 5349 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.545, + "step": 5350 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5299, + "step": 5351 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 5352 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 5353 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4915, + "step": 5354 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 5355 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6086, + "step": 5356 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 5357 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5148, + "step": 5358 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 5359 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4774, + "step": 5360 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 5361 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 5362 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4693, + "step": 5363 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 5364 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4638, + "step": 5365 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 5366 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 5367 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4457, + "step": 5368 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.4837, + "step": 5369 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5024, + "step": 5370 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5109, + "step": 5371 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5655, + "step": 5372 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 5373 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 5374 + }, + { + "epoch": 0.59, + "learning_rate": 2e-05, + "loss": 0.511, + "step": 5375 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 5376 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5292, + "step": 5377 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6116, + "step": 5378 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5062, + "step": 5379 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4762, + "step": 5380 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 5381 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5118, + "step": 5382 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5336, + "step": 5383 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 5384 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 5385 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5295, + "step": 5386 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5049, + "step": 5387 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6261, + "step": 5388 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 5389 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.657, + "step": 5390 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6127, + "step": 5391 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 5392 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 5393 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5267, + "step": 5394 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 5395 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 5396 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6169, + "step": 5397 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 5398 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5115, + "step": 5399 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 5400 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 5401 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 5402 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5259, + "step": 5403 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 5404 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 5405 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 5406 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 5407 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4926, + "step": 5408 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 5409 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 5410 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 5411 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 5412 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 5413 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 5414 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5755, + "step": 5415 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6003, + "step": 5416 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 5417 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4627, + "step": 5418 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 5419 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5434, + "step": 5420 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5961, + "step": 5421 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 5422 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 5423 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.7019, + "step": 5424 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 5425 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5846, + "step": 5426 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.548, + "step": 5427 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 5428 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 5429 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4767, + "step": 5430 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 5431 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 5432 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 5433 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 5434 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5419, + "step": 5435 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4907, + "step": 5436 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 5437 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6093, + "step": 5438 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 5439 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 5440 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5166, + "step": 5441 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5245, + "step": 5442 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4462, + "step": 5443 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6532, + "step": 5444 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5853, + "step": 5445 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.518, + "step": 5446 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 5447 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5448 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6484, + "step": 5449 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 5450 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5547, + "step": 5451 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 5452 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5171, + "step": 5453 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 5454 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6108, + "step": 5455 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4441, + "step": 5456 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 5457 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 5458 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.4808, + "step": 5459 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6625, + "step": 5460 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 5461 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.6363, + "step": 5462 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.543, + "step": 5463 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 5464 + }, + { + "epoch": 0.6, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 5465 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 5466 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 5467 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6957, + "step": 5468 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 5469 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5086, + "step": 5470 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.493, + "step": 5471 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 5472 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 5473 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 5474 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.619, + "step": 5475 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5505, + "step": 5476 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6307, + "step": 5477 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 5478 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4858, + "step": 5479 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6877, + "step": 5480 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6127, + "step": 5481 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 5482 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6087, + "step": 5483 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5259, + "step": 5484 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 5485 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5942, + "step": 5486 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4807, + "step": 5487 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 5488 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.509, + "step": 5489 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 5490 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 5491 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5966, + "step": 5492 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6238, + "step": 5493 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 5494 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 5495 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5176, + "step": 5496 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 5497 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5872, + "step": 5498 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5919, + "step": 5499 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5627, + "step": 5500 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 5501 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6577, + "step": 5502 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 5503 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 5504 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 5505 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 5506 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 5507 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5641, + "step": 5508 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 5509 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 5510 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 5511 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 5512 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 5513 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5769, + "step": 5514 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 5515 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6582, + "step": 5516 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 5517 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 5518 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4556, + "step": 5519 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5533, + "step": 5520 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 5521 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5391, + "step": 5522 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 5523 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6066, + "step": 5524 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5718, + "step": 5525 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.621, + "step": 5526 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6546, + "step": 5527 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 5528 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6128, + "step": 5529 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 5530 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.693, + "step": 5531 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6935, + "step": 5532 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 5533 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6213, + "step": 5534 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 5535 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 5536 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4972, + "step": 5537 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 5538 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 5539 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 5540 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.484, + "step": 5541 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6136, + "step": 5542 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.507, + "step": 5543 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 5544 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5856, + "step": 5545 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.622, + "step": 5546 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 5547 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.596, + "step": 5548 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5039, + "step": 5549 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5231, + "step": 5550 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5427, + "step": 5551 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 5552 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5325, + "step": 5553 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.6233, + "step": 5554 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.5432, + "step": 5555 + }, + { + "epoch": 0.61, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 5556 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6278, + "step": 5557 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5028, + "step": 5558 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5938, + "step": 5559 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.61, + "step": 5560 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6222, + "step": 5561 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6023, + "step": 5562 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 5563 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 5564 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5275, + "step": 5565 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4838, + "step": 5566 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.67, + "step": 5567 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 5568 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5991, + "step": 5569 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 5570 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6179, + "step": 5571 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 5572 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6045, + "step": 5573 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6684, + "step": 5574 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 5575 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5108, + "step": 5576 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 5577 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 5578 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4917, + "step": 5579 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5783, + "step": 5580 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 5581 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 5582 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 5583 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6061, + "step": 5584 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 5585 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5993, + "step": 5586 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 5587 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4604, + "step": 5588 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 5589 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.581, + "step": 5590 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6296, + "step": 5591 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 5592 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 5593 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5594 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6212, + "step": 5595 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6789, + "step": 5596 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.558, + "step": 5597 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 5598 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 5599 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5575, + "step": 5600 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 5601 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 5602 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 5603 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5136, + "step": 5604 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 5605 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5252, + "step": 5606 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 5607 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6463, + "step": 5608 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 5609 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5348, + "step": 5610 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.696, + "step": 5611 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 5612 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5887, + "step": 5613 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5739, + "step": 5614 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 5615 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5576, + "step": 5616 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5064, + "step": 5617 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 5618 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4942, + "step": 5619 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 5620 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 5621 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 5622 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 5623 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4836, + "step": 5624 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5928, + "step": 5625 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4621, + "step": 5626 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5643, + "step": 5627 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5809, + "step": 5628 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4977, + "step": 5629 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5826, + "step": 5630 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 5631 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 5632 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 5633 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6526, + "step": 5634 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5925, + "step": 5635 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4542, + "step": 5636 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5154, + "step": 5637 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 5638 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6057, + "step": 5639 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 5640 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5975, + "step": 5641 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 5642 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.5377, + "step": 5643 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.4598, + "step": 5644 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6005, + "step": 5645 + }, + { + "epoch": 0.62, + "learning_rate": 2e-05, + "loss": 0.6036, + "step": 5646 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 5647 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 5648 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6506, + "step": 5649 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5749, + "step": 5650 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5013, + "step": 5651 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5121, + "step": 5652 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 5653 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 5654 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 5655 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5921, + "step": 5656 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5701, + "step": 5657 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 5658 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.445, + "step": 5659 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 5660 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5488, + "step": 5661 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 5662 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5484, + "step": 5663 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 5664 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6238, + "step": 5665 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 5666 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6399, + "step": 5667 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5809, + "step": 5668 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 5669 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 5670 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5758, + "step": 5671 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 5672 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 5673 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 5674 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5518, + "step": 5675 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 5676 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 5677 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5935, + "step": 5678 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 5679 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5229, + "step": 5680 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5471, + "step": 5681 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6611, + "step": 5682 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4904, + "step": 5683 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 5684 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 5685 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4929, + "step": 5686 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6313, + "step": 5687 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6112, + "step": 5688 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5604, + "step": 5689 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4509, + "step": 5690 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 5691 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 5692 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 5693 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 5694 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 5695 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5176, + "step": 5696 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 5697 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5767, + "step": 5698 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 5699 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 5700 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5921, + "step": 5701 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5445, + "step": 5702 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5318, + "step": 5703 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4498, + "step": 5704 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 5705 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 5706 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.591, + "step": 5707 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5775, + "step": 5708 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6085, + "step": 5709 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5722, + "step": 5710 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 5711 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 5712 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 5713 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.454, + "step": 5714 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5443, + "step": 5715 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4908, + "step": 5716 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.4982, + "step": 5717 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 5718 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 5719 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 5720 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6274, + "step": 5721 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6275, + "step": 5722 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5942, + "step": 5723 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5546, + "step": 5724 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6305, + "step": 5725 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5821, + "step": 5726 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5199, + "step": 5727 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 5728 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 5729 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6925, + "step": 5730 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5967, + "step": 5731 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5, + "step": 5732 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 5733 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.6338, + "step": 5734 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5048, + "step": 5735 + }, + { + "epoch": 0.63, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 5736 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.566, + "step": 5737 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4153, + "step": 5738 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4777, + "step": 5739 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6119, + "step": 5740 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5331, + "step": 5741 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4627, + "step": 5742 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4994, + "step": 5743 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6025, + "step": 5744 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5697, + "step": 5745 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 5746 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 5747 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 5748 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 5749 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6805, + "step": 5750 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5751 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5737, + "step": 5752 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 5753 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.469, + "step": 5754 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5583, + "step": 5755 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5968, + "step": 5756 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4972, + "step": 5757 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.548, + "step": 5758 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5404, + "step": 5759 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 5760 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 5761 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5443, + "step": 5762 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 5763 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.7001, + "step": 5764 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5667, + "step": 5765 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 5766 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 5767 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 5768 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5725, + "step": 5769 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6471, + "step": 5770 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 5771 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 5772 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4787, + "step": 5773 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 5774 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6114, + "step": 5775 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5776 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 5777 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 5778 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 5779 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.493, + "step": 5780 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6853, + "step": 5781 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 5782 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 5783 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4522, + "step": 5784 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 5785 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6124, + "step": 5786 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5714, + "step": 5787 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6422, + "step": 5788 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 5789 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 5790 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5583, + "step": 5791 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 5792 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6435, + "step": 5793 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4553, + "step": 5794 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 5795 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 5796 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.59, + "step": 5797 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 5798 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 5799 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 5800 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5993, + "step": 5801 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 5802 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.586, + "step": 5803 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4972, + "step": 5804 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6217, + "step": 5805 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5308, + "step": 5806 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 5807 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 5808 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 5809 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4568, + "step": 5810 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6323, + "step": 5811 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5977, + "step": 5812 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5992, + "step": 5813 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6065, + "step": 5814 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5101, + "step": 5815 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5762, + "step": 5816 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 5817 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 5818 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5948, + "step": 5819 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 5820 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5976, + "step": 5821 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 5822 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.4997, + "step": 5823 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5157, + "step": 5824 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5144, + "step": 5825 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.6074, + "step": 5826 + }, + { + "epoch": 0.64, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 5827 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 5828 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6352, + "step": 5829 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 5830 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.524, + "step": 5831 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5785, + "step": 5832 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 5833 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5201, + "step": 5834 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5295, + "step": 5835 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 5836 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6019, + "step": 5837 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 5838 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4668, + "step": 5839 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 5840 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5524, + "step": 5841 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6609, + "step": 5842 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 5843 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 5844 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5929, + "step": 5845 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 5846 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 5847 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 5848 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 5849 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6396, + "step": 5850 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 5851 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 5852 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 5853 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 5854 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 5855 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5217, + "step": 5856 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 5857 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 5858 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.539, + "step": 5859 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5842, + "step": 5860 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5314, + "step": 5861 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 5862 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5143, + "step": 5863 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 5864 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 5865 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6537, + "step": 5866 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6194, + "step": 5867 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4965, + "step": 5868 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6547, + "step": 5869 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5931, + "step": 5870 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5611, + "step": 5871 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 5872 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5535, + "step": 5873 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 5874 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 5875 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5615, + "step": 5876 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.485, + "step": 5877 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 5878 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4862, + "step": 5879 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4763, + "step": 5880 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5758, + "step": 5881 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.46, + "step": 5882 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6302, + "step": 5883 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5637, + "step": 5884 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4142, + "step": 5885 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 5886 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.641, + "step": 5887 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4744, + "step": 5888 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.486, + "step": 5889 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.485, + "step": 5890 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.593, + "step": 5891 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5311, + "step": 5892 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6197, + "step": 5893 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4772, + "step": 5894 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 5895 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 5896 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4544, + "step": 5897 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.477, + "step": 5898 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.558, + "step": 5899 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 5900 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 5901 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 5902 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 5903 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4965, + "step": 5904 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4808, + "step": 5905 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6167, + "step": 5906 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 5907 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 5908 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5967, + "step": 5909 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 5910 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 5911 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4811, + "step": 5912 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5627, + "step": 5913 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 5914 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 5915 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.5957, + "step": 5916 + }, + { + "epoch": 0.65, + "learning_rate": 2e-05, + "loss": 0.6017, + "step": 5917 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 5918 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 5919 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5672, + "step": 5920 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5872, + "step": 5921 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 5922 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 5923 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5703, + "step": 5924 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 5925 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 5926 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4683, + "step": 5927 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 5928 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 5929 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 5930 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5059, + "step": 5931 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 5932 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 5933 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 5934 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4293, + "step": 5935 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.471, + "step": 5936 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 5937 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5517, + "step": 5938 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4877, + "step": 5939 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6165, + "step": 5940 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 5941 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 5942 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6068, + "step": 5943 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5921, + "step": 5944 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 5945 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.457, + "step": 5946 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5211, + "step": 5947 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6257, + "step": 5948 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6047, + "step": 5949 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 5950 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 5951 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4995, + "step": 5952 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5862, + "step": 5953 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5502, + "step": 5954 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6635, + "step": 5955 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6178, + "step": 5956 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 5957 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5584, + "step": 5958 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 5959 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 5960 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 5961 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4939, + "step": 5962 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6419, + "step": 5963 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.475, + "step": 5964 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 5965 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 5966 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.473, + "step": 5967 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 5968 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5748, + "step": 5969 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 5970 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5443, + "step": 5971 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6613, + "step": 5972 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6326, + "step": 5973 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 5974 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 5975 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4543, + "step": 5976 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 5977 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4432, + "step": 5978 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 5979 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.602, + "step": 5980 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5322, + "step": 5981 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.613, + "step": 5982 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 5983 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5607, + "step": 5984 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5446, + "step": 5985 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5293, + "step": 5986 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5693, + "step": 5987 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4831, + "step": 5988 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.485, + "step": 5989 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5919, + "step": 5990 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6345, + "step": 5991 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5992, + "step": 5992 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5204, + "step": 5993 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 5994 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5246, + "step": 5995 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5108, + "step": 5996 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 5997 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 5998 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 5999 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 6000 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 6001 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 6002 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 6003 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.5265, + "step": 6004 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.6007, + "step": 6005 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 6006 + }, + { + "epoch": 0.66, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 6007 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 6008 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5346, + "step": 6009 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 6010 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4717, + "step": 6011 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5802, + "step": 6012 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5806, + "step": 6013 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5216, + "step": 6014 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5354, + "step": 6015 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 6016 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 6017 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5927, + "step": 6018 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 6019 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 6020 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5945, + "step": 6021 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 6022 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 6023 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 6024 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5254, + "step": 6025 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5248, + "step": 6026 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6503, + "step": 6027 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 6028 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 6029 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 6030 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 6031 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5118, + "step": 6032 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4883, + "step": 6033 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 6034 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6668, + "step": 6035 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5395, + "step": 6036 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 6037 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 6038 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.534, + "step": 6039 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4728, + "step": 6040 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6081, + "step": 6041 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 6042 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4742, + "step": 6043 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 6044 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5568, + "step": 6045 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5795, + "step": 6046 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 6047 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 6048 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5578, + "step": 6049 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5153, + "step": 6050 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 6051 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.515, + "step": 6052 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 6053 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 6054 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 6055 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6632, + "step": 6056 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6577, + "step": 6057 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 6058 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 6059 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 6060 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6024, + "step": 6061 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 6062 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 6063 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5441, + "step": 6064 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5068, + "step": 6065 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6034, + "step": 6066 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4945, + "step": 6067 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.579, + "step": 6068 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 6069 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 6070 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6024, + "step": 6071 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 6072 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 6073 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5841, + "step": 6074 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.7468, + "step": 6075 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 6076 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 6077 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 6078 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 6079 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 6080 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4394, + "step": 6081 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 6082 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6411, + "step": 6083 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.6068, + "step": 6084 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 6085 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5835, + "step": 6086 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 6087 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5221, + "step": 6088 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4973, + "step": 6089 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 6090 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4666, + "step": 6091 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 6092 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4596, + "step": 6093 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5723, + "step": 6094 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5342, + "step": 6095 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.4514, + "step": 6096 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5917, + "step": 6097 + }, + { + "epoch": 0.67, + "learning_rate": 2e-05, + "loss": 0.5716, + "step": 6098 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4816, + "step": 6099 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 6100 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 6101 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4933, + "step": 6102 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4908, + "step": 6103 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 6104 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4639, + "step": 6105 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 6106 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 6107 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 6108 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5703, + "step": 6109 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6019, + "step": 6110 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4874, + "step": 6111 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5237, + "step": 6112 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4826, + "step": 6113 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6169, + "step": 6114 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 6115 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 6116 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.578, + "step": 6117 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 6118 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5154, + "step": 6119 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 6120 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 6121 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6705, + "step": 6122 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 6123 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5672, + "step": 6124 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6068, + "step": 6125 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5123, + "step": 6126 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 6127 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4804, + "step": 6128 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4897, + "step": 6129 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 6130 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 6131 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 6132 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 6133 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 6134 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 6135 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5184, + "step": 6136 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4846, + "step": 6137 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5894, + "step": 6138 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 6139 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 6140 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 6141 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5765, + "step": 6142 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5943, + "step": 6143 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4601, + "step": 6144 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.496, + "step": 6145 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4589, + "step": 6146 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5804, + "step": 6147 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5686, + "step": 6148 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5261, + "step": 6149 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5993, + "step": 6150 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 6151 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6623, + "step": 6152 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 6153 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 6154 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 6155 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6344, + "step": 6156 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5781, + "step": 6157 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5295, + "step": 6158 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 6159 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6238, + "step": 6160 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 6161 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4875, + "step": 6162 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6597, + "step": 6163 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4831, + "step": 6164 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 6165 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 6166 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4476, + "step": 6167 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 6168 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 6169 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 6170 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6307, + "step": 6171 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 6172 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 6173 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 6174 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.6011, + "step": 6175 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 6176 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 6177 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4914, + "step": 6178 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5511, + "step": 6179 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.601, + "step": 6180 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 6181 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.3606, + "step": 6182 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5058, + "step": 6183 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4787, + "step": 6184 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 6185 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5474, + "step": 6186 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 6187 + }, + { + "epoch": 0.68, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 6188 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5725, + "step": 6189 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 6190 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 6191 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4806, + "step": 6192 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 6193 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 6194 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 6195 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 6196 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5961, + "step": 6197 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 6198 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 6199 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 6200 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4848, + "step": 6201 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5327, + "step": 6202 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5491, + "step": 6203 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5959, + "step": 6204 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6026, + "step": 6205 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 6206 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5455, + "step": 6207 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.493, + "step": 6208 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 6209 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6344, + "step": 6210 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 6211 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.601, + "step": 6212 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 6213 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 6214 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6017, + "step": 6215 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 6216 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 6217 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 6218 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 6219 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5464, + "step": 6220 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 6221 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6419, + "step": 6222 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6194, + "step": 6223 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.457, + "step": 6224 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6086, + "step": 6225 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 6226 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 6227 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 6228 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 6229 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 6230 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4768, + "step": 6231 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5262, + "step": 6232 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 6233 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.498, + "step": 6234 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5574, + "step": 6235 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4996, + "step": 6236 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5285, + "step": 6237 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 6238 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 6239 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 6240 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4788, + "step": 6241 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 6242 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 6243 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6179, + "step": 6244 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 6245 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5333, + "step": 6246 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 6247 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6378, + "step": 6248 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6399, + "step": 6249 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 6250 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6359, + "step": 6251 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6755, + "step": 6252 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.539, + "step": 6253 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6284, + "step": 6254 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6356, + "step": 6255 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 6256 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4909, + "step": 6257 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 6258 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6121, + "step": 6259 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.541, + "step": 6260 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4663, + "step": 6261 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 6262 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6983, + "step": 6263 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 6264 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6148, + "step": 6265 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5193, + "step": 6266 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5526, + "step": 6267 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 6268 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 6269 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6116, + "step": 6270 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5211, + "step": 6271 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6073, + "step": 6272 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6212, + "step": 6273 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 6274 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 6275 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.6479, + "step": 6276 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.4639, + "step": 6277 + }, + { + "epoch": 0.69, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 6278 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 6279 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5818, + "step": 6280 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 6281 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4915, + "step": 6282 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 6283 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5658, + "step": 6284 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 6285 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5454, + "step": 6286 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 6287 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4692, + "step": 6288 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 6289 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 6290 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6333, + "step": 6291 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 6292 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 6293 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 6294 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 6295 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 6296 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4862, + "step": 6297 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 6298 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 6299 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 6300 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 6301 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 6302 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5867, + "step": 6303 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5961, + "step": 6304 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5384, + "step": 6305 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 6306 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6216, + "step": 6307 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5105, + "step": 6308 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6016, + "step": 6309 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4633, + "step": 6310 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5601, + "step": 6311 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 6312 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 6313 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5073, + "step": 6314 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 6315 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5113, + "step": 6316 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.573, + "step": 6317 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.615, + "step": 6318 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4722, + "step": 6319 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 6320 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 6321 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5844, + "step": 6322 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 6323 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4899, + "step": 6324 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5841, + "step": 6325 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4957, + "step": 6326 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5966, + "step": 6327 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 6328 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 6329 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.7056, + "step": 6330 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 6331 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6252, + "step": 6332 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6766, + "step": 6333 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 6334 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4795, + "step": 6335 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6994, + "step": 6336 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.567, + "step": 6337 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 6338 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 6339 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6173, + "step": 6340 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5363, + "step": 6341 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 6342 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5494, + "step": 6343 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.546, + "step": 6344 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 6345 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 6346 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5478, + "step": 6347 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 6348 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5141, + "step": 6349 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 6350 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5391, + "step": 6351 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6766, + "step": 6352 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 6353 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 6354 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4952, + "step": 6355 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5505, + "step": 6356 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6151, + "step": 6357 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4419, + "step": 6358 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6074, + "step": 6359 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 6360 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5524, + "step": 6361 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 6362 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6622, + "step": 6363 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6036, + "step": 6364 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 6365 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.4977, + "step": 6366 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 6367 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.6601, + "step": 6368 + }, + { + "epoch": 0.7, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 6369 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 6370 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 6371 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 6372 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 6373 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5049, + "step": 6374 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4624, + "step": 6375 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 6376 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5639, + "step": 6377 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 6378 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5665, + "step": 6379 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5114, + "step": 6380 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 6381 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 6382 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 6383 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6823, + "step": 6384 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5623, + "step": 6385 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4728, + "step": 6386 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 6387 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6664, + "step": 6388 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5153, + "step": 6389 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5068, + "step": 6390 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.525, + "step": 6391 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.7199, + "step": 6392 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 6393 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 6394 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5, + "step": 6395 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6005, + "step": 6396 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5427, + "step": 6397 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 6398 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5045, + "step": 6399 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 6400 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 6401 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6543, + "step": 6402 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 6403 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 6404 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4939, + "step": 6405 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 6406 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5678, + "step": 6407 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5787, + "step": 6408 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6487, + "step": 6409 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5863, + "step": 6410 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 6411 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.51, + "step": 6412 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4997, + "step": 6413 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.513, + "step": 6414 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6521, + "step": 6415 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 6416 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 6417 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 6418 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.519, + "step": 6419 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 6420 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4811, + "step": 6421 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4696, + "step": 6422 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5726, + "step": 6423 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5751, + "step": 6424 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4176, + "step": 6425 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5395, + "step": 6426 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5352, + "step": 6427 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 6428 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 6429 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4518, + "step": 6430 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5416, + "step": 6431 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.6082, + "step": 6432 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4696, + "step": 6433 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 6434 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.49, + "step": 6435 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 6436 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 6437 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 6438 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5579, + "step": 6439 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 6440 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 6441 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4637, + "step": 6442 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 6443 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4768, + "step": 6444 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 6445 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5773, + "step": 6446 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4695, + "step": 6447 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 6448 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5446, + "step": 6449 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 6450 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 6451 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 6452 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5366, + "step": 6453 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 6454 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 6455 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 6456 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 6457 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5418, + "step": 6458 + }, + { + "epoch": 0.71, + "learning_rate": 2e-05, + "loss": 0.5129, + "step": 6459 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 6460 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 6461 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 6462 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 6463 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4964, + "step": 6464 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5528, + "step": 6465 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6246, + "step": 6466 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6702, + "step": 6467 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4754, + "step": 6468 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 6469 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 6470 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6585, + "step": 6471 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 6472 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 6473 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 6474 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.455, + "step": 6475 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5297, + "step": 6476 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5832, + "step": 6477 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6773, + "step": 6478 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 6479 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 6480 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4506, + "step": 6481 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 6482 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6289, + "step": 6483 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5486, + "step": 6484 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4705, + "step": 6485 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 6486 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 6487 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 6488 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5746, + "step": 6489 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 6490 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4888, + "step": 6491 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 6492 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 6493 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 6494 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 6495 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 6496 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6055, + "step": 6497 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.548, + "step": 6498 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4977, + "step": 6499 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5722, + "step": 6500 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 6501 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5622, + "step": 6502 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5414, + "step": 6503 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4901, + "step": 6504 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4826, + "step": 6505 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5097, + "step": 6506 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6152, + "step": 6507 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6112, + "step": 6508 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 6509 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5413, + "step": 6510 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.6566, + "step": 6511 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 6512 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5201, + "step": 6513 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5475, + "step": 6514 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 6515 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 6516 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5491, + "step": 6517 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 6518 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 6519 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 6520 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 6521 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 6522 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5248, + "step": 6523 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 6524 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 6525 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5199, + "step": 6526 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.556, + "step": 6527 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.531, + "step": 6528 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.595, + "step": 6529 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 6530 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 6531 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 6532 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 6533 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 6534 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 6535 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4879, + "step": 6536 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 6537 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4783, + "step": 6538 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 6539 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 6540 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5638, + "step": 6541 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5936, + "step": 6542 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5123, + "step": 6543 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 6544 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5813, + "step": 6545 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.56, + "step": 6546 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 6547 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.4969, + "step": 6548 + }, + { + "epoch": 0.72, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 6549 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4461, + "step": 6550 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4899, + "step": 6551 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5317, + "step": 6552 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 6553 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4623, + "step": 6554 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6854, + "step": 6555 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5787, + "step": 6556 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4652, + "step": 6557 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5856, + "step": 6558 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5143, + "step": 6559 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 6560 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 6561 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5816, + "step": 6562 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5795, + "step": 6563 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5431, + "step": 6564 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 6565 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 6566 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5084, + "step": 6567 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 6568 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4763, + "step": 6569 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5768, + "step": 6570 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 6571 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 6572 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.503, + "step": 6573 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6573, + "step": 6574 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 6575 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 6576 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 6577 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6112, + "step": 6578 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 6579 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 6580 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5731, + "step": 6581 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5854, + "step": 6582 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6131, + "step": 6583 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5669, + "step": 6584 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 6585 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 6586 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5535, + "step": 6587 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4796, + "step": 6588 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 6589 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 6590 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4598, + "step": 6591 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 6592 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4994, + "step": 6593 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6188, + "step": 6594 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5615, + "step": 6595 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 6596 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 6597 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5055, + "step": 6598 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 6599 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 6600 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4689, + "step": 6601 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 6602 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 6603 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6155, + "step": 6604 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 6605 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 6606 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 6607 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6386, + "step": 6608 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6262, + "step": 6609 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.501, + "step": 6610 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6934, + "step": 6611 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5073, + "step": 6612 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 6613 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5475, + "step": 6614 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 6615 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5012, + "step": 6616 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5918, + "step": 6617 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4689, + "step": 6618 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 6619 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5811, + "step": 6620 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5922, + "step": 6621 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 6622 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 6623 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5065, + "step": 6624 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 6625 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6313, + "step": 6626 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 6627 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 6628 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 6629 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 6630 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.6569, + "step": 6631 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 6632 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 6633 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.469, + "step": 6634 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4967, + "step": 6635 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 6636 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 6637 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.5861, + "step": 6638 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.4772, + "step": 6639 + }, + { + "epoch": 0.73, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 6640 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5519, + "step": 6641 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4849, + "step": 6642 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 6643 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5265, + "step": 6644 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 6645 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5946, + "step": 6646 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5847, + "step": 6647 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 6648 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6183, + "step": 6649 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4792, + "step": 6650 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.515, + "step": 6651 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6042, + "step": 6652 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 6653 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 6654 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 6655 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6013, + "step": 6656 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 6657 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5962, + "step": 6658 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5736, + "step": 6659 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4628, + "step": 6660 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 6661 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4301, + "step": 6662 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6128, + "step": 6663 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 6664 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 6665 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5374, + "step": 6666 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 6667 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5208, + "step": 6668 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6066, + "step": 6669 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5908, + "step": 6670 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 6671 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4654, + "step": 6672 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5418, + "step": 6673 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5701, + "step": 6674 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 6675 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5836, + "step": 6676 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 6677 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5551, + "step": 6678 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 6679 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 6680 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 6681 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.613, + "step": 6682 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 6683 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 6684 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4661, + "step": 6685 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6109, + "step": 6686 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5485, + "step": 6687 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 6688 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5966, + "step": 6689 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4952, + "step": 6690 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 6691 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6367, + "step": 6692 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5091, + "step": 6693 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6364, + "step": 6694 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5748, + "step": 6695 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5393, + "step": 6696 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 6697 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6248, + "step": 6698 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4854, + "step": 6699 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4734, + "step": 6700 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 6701 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 6702 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5073, + "step": 6703 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6223, + "step": 6704 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.583, + "step": 6705 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 6706 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 6707 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5161, + "step": 6708 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5291, + "step": 6709 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4893, + "step": 6710 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 6711 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5622, + "step": 6712 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5397, + "step": 6713 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5488, + "step": 6714 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5624, + "step": 6715 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5926, + "step": 6716 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 6717 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 6718 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5933, + "step": 6719 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 6720 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 6721 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6203, + "step": 6722 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 6723 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5407, + "step": 6724 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5747, + "step": 6725 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.4494, + "step": 6726 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 6727 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.6203, + "step": 6728 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.55, + "step": 6729 + }, + { + "epoch": 0.74, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 6730 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5245, + "step": 6731 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 6732 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 6733 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 6734 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 6735 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5978, + "step": 6736 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5281, + "step": 6737 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5013, + "step": 6738 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5295, + "step": 6739 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 6740 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4405, + "step": 6741 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5014, + "step": 6742 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 6743 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 6744 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 6745 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5824, + "step": 6746 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 6747 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4695, + "step": 6748 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5311, + "step": 6749 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5062, + "step": 6750 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6436, + "step": 6751 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5583, + "step": 6752 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 6753 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5297, + "step": 6754 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4439, + "step": 6755 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5871, + "step": 6756 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5239, + "step": 6757 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 6758 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.676, + "step": 6759 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6679, + "step": 6760 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 6761 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 6762 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5482, + "step": 6763 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5669, + "step": 6764 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5952, + "step": 6765 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4925, + "step": 6766 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.541, + "step": 6767 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 6768 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6011, + "step": 6769 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 6770 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 6771 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4491, + "step": 6772 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6096, + "step": 6773 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4749, + "step": 6774 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5637, + "step": 6775 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 6776 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5784, + "step": 6777 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 6778 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 6779 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 6780 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5112, + "step": 6781 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5221, + "step": 6782 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 6783 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4997, + "step": 6784 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 6785 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 6786 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5744, + "step": 6787 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.566, + "step": 6788 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5702, + "step": 6789 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5525, + "step": 6790 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 6791 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5916, + "step": 6792 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 6793 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4997, + "step": 6794 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 6795 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5274, + "step": 6796 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4616, + "step": 6797 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6467, + "step": 6798 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 6799 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4804, + "step": 6800 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5779, + "step": 6801 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 6802 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 6803 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 6804 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 6805 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5081, + "step": 6806 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5836, + "step": 6807 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5916, + "step": 6808 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5257, + "step": 6809 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 6810 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 6811 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4265, + "step": 6812 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5482, + "step": 6813 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4944, + "step": 6814 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.455, + "step": 6815 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5851, + "step": 6816 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.623, + "step": 6817 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.6176, + "step": 6818 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.4925, + "step": 6819 + }, + { + "epoch": 0.75, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 6820 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 6821 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5415, + "step": 6822 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5578, + "step": 6823 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5602, + "step": 6824 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 6825 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 6826 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4914, + "step": 6827 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 6828 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4585, + "step": 6829 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.582, + "step": 6830 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 6831 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 6832 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 6833 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6157, + "step": 6834 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6331, + "step": 6835 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4878, + "step": 6836 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 6837 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4953, + "step": 6838 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 6839 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 6840 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 6841 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 6842 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 6843 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.57, + "step": 6844 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 6845 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 6846 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5762, + "step": 6847 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5651, + "step": 6848 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 6849 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 6850 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.568, + "step": 6851 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 6852 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 6853 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5941, + "step": 6854 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5503, + "step": 6855 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 6856 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5882, + "step": 6857 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6503, + "step": 6858 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6387, + "step": 6859 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 6860 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5502, + "step": 6861 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6366, + "step": 6862 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5825, + "step": 6863 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.539, + "step": 6864 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6119, + "step": 6865 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5389, + "step": 6866 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5108, + "step": 6867 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 6868 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4767, + "step": 6869 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 6870 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 6871 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 6872 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4817, + "step": 6873 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 6874 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5764, + "step": 6875 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5066, + "step": 6876 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 6877 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 6878 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5782, + "step": 6879 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5333, + "step": 6880 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 6881 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4737, + "step": 6882 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5643, + "step": 6883 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5664, + "step": 6884 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 6885 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.498, + "step": 6886 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 6887 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5563, + "step": 6888 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5675, + "step": 6889 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5547, + "step": 6890 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5792, + "step": 6891 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 6892 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 6893 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5868, + "step": 6894 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 6895 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 6896 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5029, + "step": 6897 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 6898 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6087, + "step": 6899 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6327, + "step": 6900 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.508, + "step": 6901 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5106, + "step": 6902 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 6903 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5726, + "step": 6904 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6734, + "step": 6905 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6562, + "step": 6906 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5432, + "step": 6907 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.6046, + "step": 6908 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 6909 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 6910 + }, + { + "epoch": 0.76, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 6911 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 6912 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 6913 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 6914 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5624, + "step": 6915 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 6916 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 6917 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 6918 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 6919 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5095, + "step": 6920 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 6921 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 6922 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5601, + "step": 6923 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 6924 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6227, + "step": 6925 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 6926 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5861, + "step": 6927 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 6928 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5545, + "step": 6929 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5982, + "step": 6930 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 6931 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 6932 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5734, + "step": 6933 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 6934 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6078, + "step": 6935 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5046, + "step": 6936 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5702, + "step": 6937 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 6938 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 6939 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 6940 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 6941 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 6942 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5566, + "step": 6943 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5063, + "step": 6944 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.558, + "step": 6945 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6317, + "step": 6946 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 6947 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5012, + "step": 6948 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4855, + "step": 6949 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5778, + "step": 6950 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4835, + "step": 6951 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.621, + "step": 6952 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6167, + "step": 6953 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5962, + "step": 6954 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 6955 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4832, + "step": 6956 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 6957 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 6958 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 6959 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 6960 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4979, + "step": 6961 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 6962 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5403, + "step": 6963 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4524, + "step": 6964 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.7189, + "step": 6965 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5673, + "step": 6966 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 6967 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.463, + "step": 6968 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6118, + "step": 6969 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 6970 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 6971 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 6972 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6637, + "step": 6973 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6305, + "step": 6974 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5246, + "step": 6975 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 6976 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 6977 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 6978 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5175, + "step": 6979 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 6980 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 6981 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4604, + "step": 6982 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 6983 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5584, + "step": 6984 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4684, + "step": 6985 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 6986 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5499, + "step": 6987 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5547, + "step": 6988 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 6989 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 6990 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 6991 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 6992 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6284, + "step": 6993 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 6994 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 6995 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 6996 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 6997 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.6744, + "step": 6998 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 6999 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 7000 + }, + { + "epoch": 0.77, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 7001 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.6187, + "step": 7002 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 7003 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5679, + "step": 7004 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 7005 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5254, + "step": 7006 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 7007 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5106, + "step": 7008 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4831, + "step": 7009 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 7010 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 7011 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5595, + "step": 7012 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5574, + "step": 7013 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 7014 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4593, + "step": 7015 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 7016 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 7017 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.627, + "step": 7018 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 7019 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 7020 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.611, + "step": 7021 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 7022 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.6239, + "step": 7023 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5774, + "step": 7024 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 7025 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5124, + "step": 7026 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5844, + "step": 7027 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5009, + "step": 7028 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 7029 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4477, + "step": 7030 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4579, + "step": 7031 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 7032 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 7033 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4957, + "step": 7034 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5494, + "step": 7035 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.6075, + "step": 7036 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 7037 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 7038 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5809, + "step": 7039 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5987, + "step": 7040 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4766, + "step": 7041 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5818, + "step": 7042 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 7043 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 7044 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 7045 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 7046 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5759, + "step": 7047 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.6138, + "step": 7048 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 7049 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 7050 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 7051 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5122, + "step": 7052 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5277, + "step": 7053 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.422, + "step": 7054 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5236, + "step": 7055 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 7056 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4716, + "step": 7057 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 7058 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.524, + "step": 7059 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 7060 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 7061 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5147, + "step": 7062 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 7063 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5659, + "step": 7064 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5051, + "step": 7065 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5467, + "step": 7066 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 7067 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 7068 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4832, + "step": 7069 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 7070 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 7071 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 7072 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 7073 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5796, + "step": 7074 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 7075 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5266, + "step": 7076 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 7077 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5846, + "step": 7078 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5472, + "step": 7079 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5762, + "step": 7080 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5362, + "step": 7081 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5377, + "step": 7082 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 7083 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 7084 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 7085 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.6361, + "step": 7086 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 7087 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5488, + "step": 7088 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5746, + "step": 7089 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.5292, + "step": 7090 + }, + { + "epoch": 0.78, + "learning_rate": 2e-05, + "loss": 0.4726, + "step": 7091 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 7092 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4773, + "step": 7093 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6065, + "step": 7094 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5197, + "step": 7095 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.446, + "step": 7096 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 7097 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 7098 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6611, + "step": 7099 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6217, + "step": 7100 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.603, + "step": 7101 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 7102 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 7103 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.568, + "step": 7104 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 7105 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6108, + "step": 7106 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 7107 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 7108 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5865, + "step": 7109 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4633, + "step": 7110 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 7111 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4848, + "step": 7112 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5789, + "step": 7113 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.538, + "step": 7114 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 7115 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6357, + "step": 7116 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5251, + "step": 7117 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 7118 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4535, + "step": 7119 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4915, + "step": 7120 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4829, + "step": 7121 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 7122 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5651, + "step": 7123 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5506, + "step": 7124 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 7125 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5771, + "step": 7126 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5595, + "step": 7127 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 7128 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 7129 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.7127, + "step": 7130 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 7131 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5607, + "step": 7132 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 7133 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5247, + "step": 7134 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4685, + "step": 7135 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 7136 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4942, + "step": 7137 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5922, + "step": 7138 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 7139 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6996, + "step": 7140 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 7141 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 7142 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 7143 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 7144 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6129, + "step": 7145 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5459, + "step": 7146 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 7147 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5913, + "step": 7148 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 7149 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 7150 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 7151 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 7152 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 7153 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 7154 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6384, + "step": 7155 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 7156 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 7157 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5289, + "step": 7158 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 7159 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 7160 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 7161 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6218, + "step": 7162 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 7163 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 7164 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4455, + "step": 7165 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5271, + "step": 7166 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5675, + "step": 7167 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 7168 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 7169 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6106, + "step": 7170 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6599, + "step": 7171 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 7172 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6571, + "step": 7173 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 7174 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 7175 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 7176 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 7177 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.6262, + "step": 7178 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 7179 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.5289, + "step": 7180 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 7181 + }, + { + "epoch": 0.79, + "learning_rate": 2e-05, + "loss": 0.4753, + "step": 7182 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 7183 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4939, + "step": 7184 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5123, + "step": 7185 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5232, + "step": 7186 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6725, + "step": 7187 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5754, + "step": 7188 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 7189 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.602, + "step": 7190 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5814, + "step": 7191 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5352, + "step": 7192 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5617, + "step": 7193 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5752, + "step": 7194 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6007, + "step": 7195 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 7196 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 7197 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.567, + "step": 7198 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 7199 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 7200 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 7201 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 7202 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 7203 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 7204 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6681, + "step": 7205 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.642, + "step": 7206 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6509, + "step": 7207 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 7208 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4958, + "step": 7209 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 7210 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 7211 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5525, + "step": 7212 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 7213 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6979, + "step": 7214 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.465, + "step": 7215 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4749, + "step": 7216 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4967, + "step": 7217 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 7218 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 7219 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5352, + "step": 7220 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4466, + "step": 7221 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 7222 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 7223 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5688, + "step": 7224 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.457, + "step": 7225 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 7226 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 7227 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 7228 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 7229 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 7230 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 7231 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5835, + "step": 7232 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5043, + "step": 7233 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5965, + "step": 7234 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 7235 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.517, + "step": 7236 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5473, + "step": 7237 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 7238 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5536, + "step": 7239 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 7240 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4921, + "step": 7241 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5154, + "step": 7242 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5688, + "step": 7243 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 7244 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5243, + "step": 7245 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 7246 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5313, + "step": 7247 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4942, + "step": 7248 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5846, + "step": 7249 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 7250 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 7251 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5804, + "step": 7252 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5345, + "step": 7253 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6103, + "step": 7254 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 7255 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 7256 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5947, + "step": 7257 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 7258 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5789, + "step": 7259 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6271, + "step": 7260 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 7261 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 7262 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 7263 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 7264 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.6213, + "step": 7265 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5342, + "step": 7266 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5206, + "step": 7267 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 7268 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5919, + "step": 7269 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5248, + "step": 7270 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 7271 + }, + { + "epoch": 0.8, + "learning_rate": 2e-05, + "loss": 0.5834, + "step": 7272 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5567, + "step": 7273 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4642, + "step": 7274 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5666, + "step": 7275 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5013, + "step": 7276 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 7277 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 7278 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 7279 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5658, + "step": 7280 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 7281 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5116, + "step": 7282 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 7283 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5348, + "step": 7284 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 7285 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 7286 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5942, + "step": 7287 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6348, + "step": 7288 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 7289 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 7290 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 7291 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5639, + "step": 7292 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4906, + "step": 7293 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5487, + "step": 7294 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5437, + "step": 7295 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5507, + "step": 7296 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 7297 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.618, + "step": 7298 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5656, + "step": 7299 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 7300 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5937, + "step": 7301 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.569, + "step": 7302 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 7303 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 7304 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5022, + "step": 7305 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5191, + "step": 7306 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5771, + "step": 7307 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 7308 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5226, + "step": 7309 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 7310 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 7311 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4742, + "step": 7312 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5193, + "step": 7313 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6476, + "step": 7314 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5065, + "step": 7315 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 7316 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 7317 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 7318 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5727, + "step": 7319 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6206, + "step": 7320 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 7321 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6366, + "step": 7322 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4534, + "step": 7323 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5189, + "step": 7324 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 7325 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 7326 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6411, + "step": 7327 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4929, + "step": 7328 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 7329 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 7330 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5711, + "step": 7331 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5492, + "step": 7332 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 7333 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.464, + "step": 7334 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5482, + "step": 7335 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5445, + "step": 7336 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5591, + "step": 7337 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 7338 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 7339 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5877, + "step": 7340 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5705, + "step": 7341 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4539, + "step": 7342 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5219, + "step": 7343 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 7344 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 7345 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6501, + "step": 7346 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 7347 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5145, + "step": 7348 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4789, + "step": 7349 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5469, + "step": 7350 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 7351 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6143, + "step": 7352 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 7353 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 7354 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5243, + "step": 7355 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.4729, + "step": 7356 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6274, + "step": 7357 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 7358 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6105, + "step": 7359 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 7360 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 7361 + }, + { + "epoch": 0.81, + "learning_rate": 2e-05, + "loss": 0.6278, + "step": 7362 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.496, + "step": 7363 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5196, + "step": 7364 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 7365 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5502, + "step": 7366 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4907, + "step": 7367 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.455, + "step": 7368 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 7369 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5802, + "step": 7370 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5048, + "step": 7371 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 7372 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 7373 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 7374 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 7375 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 7376 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 7377 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 7378 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5836, + "step": 7379 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5204, + "step": 7380 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 7381 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 7382 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4763, + "step": 7383 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 7384 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5059, + "step": 7385 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5236, + "step": 7386 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 7387 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 7388 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4658, + "step": 7389 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6119, + "step": 7390 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 7391 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5416, + "step": 7392 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4531, + "step": 7393 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5065, + "step": 7394 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5333, + "step": 7395 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4985, + "step": 7396 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 7397 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5489, + "step": 7398 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 7399 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 7400 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5617, + "step": 7401 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5192, + "step": 7402 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.55, + "step": 7403 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5726, + "step": 7404 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6267, + "step": 7405 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4918, + "step": 7406 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.592, + "step": 7407 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 7408 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 7409 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 7410 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4566, + "step": 7411 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5948, + "step": 7412 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5368, + "step": 7413 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5736, + "step": 7414 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5939, + "step": 7415 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5436, + "step": 7416 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5462, + "step": 7417 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 7418 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6154, + "step": 7419 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5823, + "step": 7420 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.49, + "step": 7421 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 7422 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 7423 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 7424 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6686, + "step": 7425 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 7426 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5145, + "step": 7427 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5278, + "step": 7428 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5771, + "step": 7429 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.493, + "step": 7430 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4979, + "step": 7431 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4659, + "step": 7432 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 7433 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5364, + "step": 7434 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4766, + "step": 7435 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6923, + "step": 7436 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 7437 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5002, + "step": 7438 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 7439 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 7440 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.602, + "step": 7441 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5246, + "step": 7442 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4782, + "step": 7443 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4796, + "step": 7444 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4864, + "step": 7445 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5953, + "step": 7446 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.477, + "step": 7447 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 7448 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.4893, + "step": 7449 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5029, + "step": 7450 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.5827, + "step": 7451 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6303, + "step": 7452 + }, + { + "epoch": 0.82, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 7453 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5371, + "step": 7454 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4482, + "step": 7455 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 7456 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4912, + "step": 7457 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5801, + "step": 7458 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5456, + "step": 7459 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 7460 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 7461 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4394, + "step": 7462 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5602, + "step": 7463 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5103, + "step": 7464 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 7465 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5418, + "step": 7466 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.579, + "step": 7467 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 7468 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4789, + "step": 7469 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5114, + "step": 7470 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 7471 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5685, + "step": 7472 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6104, + "step": 7473 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.555, + "step": 7474 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5051, + "step": 7475 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 7476 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5936, + "step": 7477 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5136, + "step": 7478 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6577, + "step": 7479 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6551, + "step": 7480 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5113, + "step": 7481 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4925, + "step": 7482 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5717, + "step": 7483 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 7484 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 7485 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5582, + "step": 7486 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 7487 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 7488 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6284, + "step": 7489 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5422, + "step": 7490 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 7491 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 7492 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 7493 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5257, + "step": 7494 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.523, + "step": 7495 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6155, + "step": 7496 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5791, + "step": 7497 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 7498 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 7499 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 7500 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 7501 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5933, + "step": 7502 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4773, + "step": 7503 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 7504 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 7505 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4829, + "step": 7506 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6111, + "step": 7507 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 7508 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 7509 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4405, + "step": 7510 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.583, + "step": 7511 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5285, + "step": 7512 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 7513 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6379, + "step": 7514 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6168, + "step": 7515 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 7516 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4783, + "step": 7517 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 7518 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 7519 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4926, + "step": 7520 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6396, + "step": 7521 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 7522 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6412, + "step": 7523 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 7524 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.514, + "step": 7525 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 7526 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5668, + "step": 7527 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 7528 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5676, + "step": 7529 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.594, + "step": 7530 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4658, + "step": 7531 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 7532 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6114, + "step": 7533 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6445, + "step": 7534 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5379, + "step": 7535 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 7536 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 7537 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6534, + "step": 7538 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5114, + "step": 7539 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.5301, + "step": 7540 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 7541 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 7542 + }, + { + "epoch": 0.83, + "learning_rate": 2e-05, + "loss": 0.6272, + "step": 7543 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 7544 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 7545 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.582, + "step": 7546 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 7547 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 7548 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.551, + "step": 7549 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6356, + "step": 7550 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 7551 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4694, + "step": 7552 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 7553 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 7554 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 7555 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 7556 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 7557 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5316, + "step": 7558 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5539, + "step": 7559 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5832, + "step": 7560 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6268, + "step": 7561 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4967, + "step": 7562 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 7563 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 7564 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5172, + "step": 7565 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5352, + "step": 7566 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 7567 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 7568 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5607, + "step": 7569 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.525, + "step": 7570 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 7571 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 7572 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4936, + "step": 7573 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 7574 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.553, + "step": 7575 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 7576 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5182, + "step": 7577 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5633, + "step": 7578 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5026, + "step": 7579 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 7580 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5821, + "step": 7581 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 7582 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5075, + "step": 7583 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 7584 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 7585 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 7586 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6209, + "step": 7587 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6612, + "step": 7588 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5926, + "step": 7589 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 7590 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 7591 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 7592 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5496, + "step": 7593 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 7594 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5919, + "step": 7595 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 7596 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 7597 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5329, + "step": 7598 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6081, + "step": 7599 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 7600 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5707, + "step": 7601 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5248, + "step": 7602 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5738, + "step": 7603 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5556, + "step": 7604 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 7605 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4617, + "step": 7606 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5281, + "step": 7607 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5969, + "step": 7608 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 7609 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6, + "step": 7610 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5423, + "step": 7611 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 7612 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5125, + "step": 7613 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5933, + "step": 7614 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5197, + "step": 7615 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 7616 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 7617 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 7618 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.6046, + "step": 7619 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 7620 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 7621 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 7622 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5693, + "step": 7623 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.458, + "step": 7624 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5641, + "step": 7625 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5344, + "step": 7626 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 7627 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 7628 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5988, + "step": 7629 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.653, + "step": 7630 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 7631 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5771, + "step": 7632 + }, + { + "epoch": 0.84, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 7633 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 7634 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5601, + "step": 7635 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4987, + "step": 7636 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6444, + "step": 7637 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 7638 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 7639 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6604, + "step": 7640 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 7641 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5227, + "step": 7642 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 7643 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5311, + "step": 7644 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 7645 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4635, + "step": 7646 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4974, + "step": 7647 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 7648 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5774, + "step": 7649 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5778, + "step": 7650 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5139, + "step": 7651 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 7652 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.487, + "step": 7653 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4447, + "step": 7654 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5621, + "step": 7655 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5497, + "step": 7656 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4441, + "step": 7657 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 7658 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 7659 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 7660 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 7661 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4611, + "step": 7662 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.557, + "step": 7663 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6425, + "step": 7664 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 7665 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 7666 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5335, + "step": 7667 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 7668 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 7669 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 7670 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6372, + "step": 7671 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5022, + "step": 7672 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5973, + "step": 7673 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5808, + "step": 7674 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 7675 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 7676 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5887, + "step": 7677 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 7678 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 7679 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4954, + "step": 7680 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 7681 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6724, + "step": 7682 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5687, + "step": 7683 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 7684 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 7685 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 7686 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4773, + "step": 7687 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 7688 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6518, + "step": 7689 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4788, + "step": 7690 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4293, + "step": 7691 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 7692 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 7693 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.497, + "step": 7694 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4929, + "step": 7695 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 7696 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 7697 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6083, + "step": 7698 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4633, + "step": 7699 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 7700 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 7701 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4708, + "step": 7702 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5794, + "step": 7703 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 7704 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5624, + "step": 7705 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6338, + "step": 7706 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 7707 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5397, + "step": 7708 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 7709 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 7710 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 7711 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 7712 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 7713 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5508, + "step": 7714 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 7715 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5444, + "step": 7716 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.507, + "step": 7717 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 7718 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 7719 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 7720 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 7721 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5712, + "step": 7722 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.5342, + "step": 7723 + }, + { + "epoch": 0.85, + "learning_rate": 2e-05, + "loss": 0.4842, + "step": 7724 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 7725 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 7726 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5051, + "step": 7727 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 7728 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5827, + "step": 7729 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6572, + "step": 7730 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6101, + "step": 7731 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 7732 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 7733 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 7734 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.525, + "step": 7735 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 7736 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.562, + "step": 7737 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 7738 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5724, + "step": 7739 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 7740 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6729, + "step": 7741 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 7742 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 7743 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 7744 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5745, + "step": 7745 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.606, + "step": 7746 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5532, + "step": 7747 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 7748 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6017, + "step": 7749 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 7750 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5361, + "step": 7751 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5631, + "step": 7752 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4402, + "step": 7753 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.514, + "step": 7754 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5371, + "step": 7755 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5094, + "step": 7756 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 7757 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 7758 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5653, + "step": 7759 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5263, + "step": 7760 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6054, + "step": 7761 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.502, + "step": 7762 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4935, + "step": 7763 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5345, + "step": 7764 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.588, + "step": 7765 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5088, + "step": 7766 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5156, + "step": 7767 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 7768 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 7769 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6105, + "step": 7770 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4972, + "step": 7771 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5144, + "step": 7772 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.7157, + "step": 7773 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6121, + "step": 7774 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4593, + "step": 7775 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4965, + "step": 7776 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 7777 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 7778 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 7779 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 7780 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4651, + "step": 7781 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5445, + "step": 7782 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.6096, + "step": 7783 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 7784 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5528, + "step": 7785 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 7786 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5427, + "step": 7787 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4705, + "step": 7788 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 7789 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5449, + "step": 7790 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 7791 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5256, + "step": 7792 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 7793 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 7794 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5614, + "step": 7795 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4701, + "step": 7796 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 7797 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5864, + "step": 7798 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 7799 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4784, + "step": 7800 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 7801 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 7802 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4612, + "step": 7803 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4672, + "step": 7804 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5649, + "step": 7805 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5297, + "step": 7806 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 7807 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 7808 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 7809 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.617, + "step": 7810 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5093, + "step": 7811 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 7812 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5409, + "step": 7813 + }, + { + "epoch": 0.86, + "learning_rate": 2e-05, + "loss": 0.5384, + "step": 7814 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5901, + "step": 7815 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4574, + "step": 7816 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 7817 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4979, + "step": 7818 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.478, + "step": 7819 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 7820 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 7821 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 7822 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5245, + "step": 7823 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.452, + "step": 7824 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5223, + "step": 7825 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 7826 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 7827 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 7828 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5475, + "step": 7829 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5803, + "step": 7830 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4848, + "step": 7831 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6244, + "step": 7832 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.527, + "step": 7833 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 7834 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5077, + "step": 7835 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5578, + "step": 7836 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4566, + "step": 7837 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6829, + "step": 7838 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5706, + "step": 7839 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5167, + "step": 7840 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4531, + "step": 7841 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4877, + "step": 7842 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 7843 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6379, + "step": 7844 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 7845 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 7846 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5853, + "step": 7847 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4551, + "step": 7848 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 7849 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 7850 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 7851 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4774, + "step": 7852 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 7853 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4355, + "step": 7854 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5452, + "step": 7855 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5554, + "step": 7856 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5752, + "step": 7857 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4819, + "step": 7858 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5426, + "step": 7859 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.587, + "step": 7860 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6161, + "step": 7861 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5567, + "step": 7862 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 7863 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5565, + "step": 7864 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 7865 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5991, + "step": 7866 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 7867 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5295, + "step": 7868 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 7869 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 7870 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 7871 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.654, + "step": 7872 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 7873 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6003, + "step": 7874 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 7875 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5324, + "step": 7876 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.507, + "step": 7877 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 7878 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 7879 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5305, + "step": 7880 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6083, + "step": 7881 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 7882 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 7883 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 7884 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5243, + "step": 7885 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 7886 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 7887 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4876, + "step": 7888 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6367, + "step": 7889 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4929, + "step": 7890 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4868, + "step": 7891 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 7892 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 7893 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.543, + "step": 7894 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5327, + "step": 7895 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4877, + "step": 7896 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5326, + "step": 7897 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5689, + "step": 7898 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 7899 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4611, + "step": 7900 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 7901 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 7902 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.6014, + "step": 7903 + }, + { + "epoch": 0.87, + "learning_rate": 2e-05, + "loss": 0.5021, + "step": 7904 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 7905 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 7906 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5062, + "step": 7907 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5166, + "step": 7908 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 7909 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5818, + "step": 7910 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 7911 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 7912 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5519, + "step": 7913 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.523, + "step": 7914 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6362, + "step": 7915 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 7916 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6366, + "step": 7917 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 7918 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5793, + "step": 7919 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4781, + "step": 7920 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5953, + "step": 7921 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 7922 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6087, + "step": 7923 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 7924 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 7925 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 7926 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5486, + "step": 7927 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6639, + "step": 7928 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5047, + "step": 7929 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5431, + "step": 7930 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5951, + "step": 7931 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4815, + "step": 7932 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 7933 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5308, + "step": 7934 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5476, + "step": 7935 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 7936 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6217, + "step": 7937 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5779, + "step": 7938 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 7939 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 7940 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 7941 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6201, + "step": 7942 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 7943 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 7944 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 7945 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.636, + "step": 7946 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4917, + "step": 7947 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 7948 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4872, + "step": 7949 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5648, + "step": 7950 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4601, + "step": 7951 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6578, + "step": 7952 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 7953 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 7954 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6312, + "step": 7955 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 7956 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 7957 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5544, + "step": 7958 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.584, + "step": 7959 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 7960 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5188, + "step": 7961 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 7962 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 7963 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 7964 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4684, + "step": 7965 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5674, + "step": 7966 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6176, + "step": 7967 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6561, + "step": 7968 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5954, + "step": 7969 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 7970 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5567, + "step": 7971 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 7972 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.567, + "step": 7973 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.6055, + "step": 7974 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 7975 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 7976 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 7977 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4775, + "step": 7978 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5799, + "step": 7979 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5395, + "step": 7980 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 7981 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4409, + "step": 7982 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.575, + "step": 7983 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5321, + "step": 7984 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 7985 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4508, + "step": 7986 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 7987 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.468, + "step": 7988 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5373, + "step": 7989 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 7990 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5738, + "step": 7991 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5898, + "step": 7992 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5329, + "step": 7993 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.447, + "step": 7994 + }, + { + "epoch": 0.88, + "learning_rate": 2e-05, + "loss": 0.5406, + "step": 7995 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.503, + "step": 7996 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5408, + "step": 7997 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 7998 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 7999 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5837, + "step": 8000 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 8001 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4814, + "step": 8002 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 8003 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5322, + "step": 8004 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 8005 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5289, + "step": 8006 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 8007 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5331, + "step": 8008 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6059, + "step": 8009 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5861, + "step": 8010 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 8011 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 8012 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4962, + "step": 8013 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5075, + "step": 8014 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 8015 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 8016 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4787, + "step": 8017 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6783, + "step": 8018 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 8019 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5207, + "step": 8020 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 8021 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4849, + "step": 8022 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5903, + "step": 8023 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4938, + "step": 8024 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5676, + "step": 8025 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 8026 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5116, + "step": 8027 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5024, + "step": 8028 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 8029 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 8030 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5372, + "step": 8031 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5625, + "step": 8032 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 8033 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.56, + "step": 8034 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4896, + "step": 8035 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.529, + "step": 8036 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6256, + "step": 8037 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6049, + "step": 8038 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.594, + "step": 8039 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4459, + "step": 8040 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5349, + "step": 8041 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.532, + "step": 8042 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 8043 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.509, + "step": 8044 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4872, + "step": 8045 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5388, + "step": 8046 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 8047 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.579, + "step": 8048 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5116, + "step": 8049 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6347, + "step": 8050 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 8051 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 8052 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 8053 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 8054 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5577, + "step": 8055 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 8056 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5134, + "step": 8057 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 8058 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5697, + "step": 8059 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 8060 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 8061 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5755, + "step": 8062 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 8063 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 8064 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5389, + "step": 8065 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 8066 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4896, + "step": 8067 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5336, + "step": 8068 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 8069 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 8070 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5146, + "step": 8071 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5112, + "step": 8072 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6488, + "step": 8073 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4515, + "step": 8074 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.6023, + "step": 8075 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5423, + "step": 8076 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 8077 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4446, + "step": 8078 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5751, + "step": 8079 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.5324, + "step": 8080 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4689, + "step": 8081 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4829, + "step": 8082 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 8083 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4654, + "step": 8084 + }, + { + "epoch": 0.89, + "learning_rate": 2e-05, + "loss": 0.4446, + "step": 8085 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6172, + "step": 8086 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5937, + "step": 8087 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 8088 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5657, + "step": 8089 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4397, + "step": 8090 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5228, + "step": 8091 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4938, + "step": 8092 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4638, + "step": 8093 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 8094 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5409, + "step": 8095 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 8096 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5623, + "step": 8097 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5181, + "step": 8098 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 8099 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5513, + "step": 8100 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5372, + "step": 8101 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5553, + "step": 8102 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5562, + "step": 8103 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 8104 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5531, + "step": 8105 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 8106 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5406, + "step": 8107 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 8108 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 8109 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 8110 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4973, + "step": 8111 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 8112 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 8113 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 8114 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.426, + "step": 8115 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5065, + "step": 8116 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5226, + "step": 8117 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.554, + "step": 8118 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 8119 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 8120 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5508, + "step": 8121 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.458, + "step": 8122 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5232, + "step": 8123 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5142, + "step": 8124 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 8125 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 8126 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 8127 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5941, + "step": 8128 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5336, + "step": 8129 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5406, + "step": 8130 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5165, + "step": 8131 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 8132 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 8133 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4792, + "step": 8134 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5743, + "step": 8135 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5284, + "step": 8136 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.49, + "step": 8137 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4819, + "step": 8138 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6381, + "step": 8139 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5115, + "step": 8140 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 8141 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5912, + "step": 8142 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6558, + "step": 8143 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 8144 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5385, + "step": 8145 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5529, + "step": 8146 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 8147 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 8148 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5496, + "step": 8149 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4985, + "step": 8150 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5331, + "step": 8151 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5293, + "step": 8152 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 8153 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4766, + "step": 8154 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6095, + "step": 8155 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 8156 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 8157 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4584, + "step": 8158 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5609, + "step": 8159 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 8160 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5522, + "step": 8161 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 8162 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.6056, + "step": 8163 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5177, + "step": 8164 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4864, + "step": 8165 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4967, + "step": 8166 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4726, + "step": 8167 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5022, + "step": 8168 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4858, + "step": 8169 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.563, + "step": 8170 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5739, + "step": 8171 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.4457, + "step": 8172 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.51, + "step": 8173 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5242, + "step": 8174 + }, + { + "epoch": 0.9, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 8175 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4814, + "step": 8176 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 8177 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6603, + "step": 8178 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5336, + "step": 8179 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 8180 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 8181 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5549, + "step": 8182 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5307, + "step": 8183 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.539, + "step": 8184 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 8185 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 8186 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.572, + "step": 8187 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5269, + "step": 8188 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 8189 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 8190 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5597, + "step": 8191 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4811, + "step": 8192 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5729, + "step": 8193 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5642, + "step": 8194 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4773, + "step": 8195 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 8196 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4819, + "step": 8197 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5619, + "step": 8198 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.531, + "step": 8199 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4725, + "step": 8200 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 8201 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5197, + "step": 8202 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4953, + "step": 8203 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5115, + "step": 8204 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 8205 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5721, + "step": 8206 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6098, + "step": 8207 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 8208 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6047, + "step": 8209 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 8210 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 8211 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5124, + "step": 8212 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5161, + "step": 8213 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4515, + "step": 8214 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4672, + "step": 8215 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6339, + "step": 8216 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5429, + "step": 8217 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5818, + "step": 8218 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6439, + "step": 8219 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 8220 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5854, + "step": 8221 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5646, + "step": 8222 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4541, + "step": 8223 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4875, + "step": 8224 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6565, + "step": 8225 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 8226 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 8227 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 8228 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 8229 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 8230 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4861, + "step": 8231 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 8232 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6398, + "step": 8233 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6495, + "step": 8234 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5828, + "step": 8235 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5625, + "step": 8236 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.517, + "step": 8237 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6202, + "step": 8238 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 8239 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 8240 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.44, + "step": 8241 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.679, + "step": 8242 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4938, + "step": 8243 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 8244 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5285, + "step": 8245 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5104, + "step": 8246 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 8247 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4912, + "step": 8248 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4817, + "step": 8249 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 8250 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6484, + "step": 8251 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 8252 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 8253 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6573, + "step": 8254 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5287, + "step": 8255 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.447, + "step": 8256 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5552, + "step": 8257 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.6886, + "step": 8258 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4459, + "step": 8259 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5116, + "step": 8260 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4634, + "step": 8261 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4916, + "step": 8262 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5841, + "step": 8263 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5069, + "step": 8264 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.4852, + "step": 8265 + }, + { + "epoch": 0.91, + "learning_rate": 2e-05, + "loss": 0.5082, + "step": 8266 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4705, + "step": 8267 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5164, + "step": 8268 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4718, + "step": 8269 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5728, + "step": 8270 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 8271 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 8272 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 8273 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4985, + "step": 8274 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 8275 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4477, + "step": 8276 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4697, + "step": 8277 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5482, + "step": 8278 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 8279 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 8280 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 8281 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5109, + "step": 8282 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5584, + "step": 8283 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5816, + "step": 8284 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 8285 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.576, + "step": 8286 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5969, + "step": 8287 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5355, + "step": 8288 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 8289 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 8290 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 8291 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5106, + "step": 8292 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5468, + "step": 8293 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.637, + "step": 8294 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4665, + "step": 8295 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4725, + "step": 8296 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5753, + "step": 8297 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 8298 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 8299 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 8300 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5739, + "step": 8301 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5035, + "step": 8302 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 8303 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 8304 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 8305 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 8306 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5662, + "step": 8307 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5329, + "step": 8308 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5616, + "step": 8309 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5064, + "step": 8310 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5487, + "step": 8311 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5719, + "step": 8312 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 8313 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5939, + "step": 8314 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4878, + "step": 8315 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 8316 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5942, + "step": 8317 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 8318 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5289, + "step": 8319 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 8320 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6736, + "step": 8321 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5355, + "step": 8322 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 8323 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5098, + "step": 8324 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5556, + "step": 8325 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.544, + "step": 8326 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4762, + "step": 8327 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5245, + "step": 8328 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 8329 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5555, + "step": 8330 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5448, + "step": 8331 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.7084, + "step": 8332 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5697, + "step": 8333 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5132, + "step": 8334 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6114, + "step": 8335 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5258, + "step": 8336 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.574, + "step": 8337 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 8338 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5805, + "step": 8339 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 8340 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6258, + "step": 8341 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4916, + "step": 8342 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5885, + "step": 8343 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5264, + "step": 8344 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5866, + "step": 8345 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 8346 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5103, + "step": 8347 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 8348 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5921, + "step": 8349 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6073, + "step": 8350 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.506, + "step": 8351 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.4968, + "step": 8352 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.6103, + "step": 8353 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 8354 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 8355 + }, + { + "epoch": 0.92, + "learning_rate": 2e-05, + "loss": 0.5733, + "step": 8356 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5127, + "step": 8357 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 8358 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 8359 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5909, + "step": 8360 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4665, + "step": 8361 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4661, + "step": 8362 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.518, + "step": 8363 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4775, + "step": 8364 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5306, + "step": 8365 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6008, + "step": 8366 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5915, + "step": 8367 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5279, + "step": 8368 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6101, + "step": 8369 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5504, + "step": 8370 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5351, + "step": 8371 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 8372 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4846, + "step": 8373 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5677, + "step": 8374 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6038, + "step": 8375 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 8376 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5684, + "step": 8377 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5078, + "step": 8378 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5246, + "step": 8379 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6511, + "step": 8380 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6131, + "step": 8381 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4735, + "step": 8382 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5615, + "step": 8383 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6223, + "step": 8384 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5637, + "step": 8385 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4933, + "step": 8386 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5887, + "step": 8387 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 8388 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 8389 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 8390 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5585, + "step": 8391 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4576, + "step": 8392 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 8393 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5006, + "step": 8394 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5534, + "step": 8395 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 8396 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5549, + "step": 8397 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5131, + "step": 8398 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4996, + "step": 8399 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 8400 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5962, + "step": 8401 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 8402 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5742, + "step": 8403 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.521, + "step": 8404 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5472, + "step": 8405 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6407, + "step": 8406 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5484, + "step": 8407 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6941, + "step": 8408 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6239, + "step": 8409 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5309, + "step": 8410 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5618, + "step": 8411 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 8412 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5815, + "step": 8413 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5309, + "step": 8414 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 8415 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4672, + "step": 8416 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6447, + "step": 8417 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 8418 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4818, + "step": 8419 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 8420 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5498, + "step": 8421 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 8422 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5777, + "step": 8423 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6111, + "step": 8424 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5916, + "step": 8425 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4586, + "step": 8426 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6318, + "step": 8427 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5001, + "step": 8428 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5451, + "step": 8429 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5915, + "step": 8430 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 8431 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5015, + "step": 8432 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4493, + "step": 8433 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6684, + "step": 8434 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5283, + "step": 8435 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.6524, + "step": 8436 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 8437 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4484, + "step": 8438 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5111, + "step": 8439 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5358, + "step": 8440 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5494, + "step": 8441 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 8442 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 8443 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5598, + "step": 8444 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.5537, + "step": 8445 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4863, + "step": 8446 + }, + { + "epoch": 0.93, + "learning_rate": 2e-05, + "loss": 0.4623, + "step": 8447 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4612, + "step": 8448 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6113, + "step": 8449 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5471, + "step": 8450 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.511, + "step": 8451 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5825, + "step": 8452 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.511, + "step": 8453 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 8454 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4753, + "step": 8455 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 8456 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 8457 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5961, + "step": 8458 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5747, + "step": 8459 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 8460 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5581, + "step": 8461 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 8462 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5171, + "step": 8463 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4821, + "step": 8464 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4405, + "step": 8465 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6181, + "step": 8466 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.623, + "step": 8467 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4253, + "step": 8468 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 8469 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4696, + "step": 8470 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4717, + "step": 8471 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5979, + "step": 8472 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 8473 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5835, + "step": 8474 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4673, + "step": 8475 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5636, + "step": 8476 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6088, + "step": 8477 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6681, + "step": 8478 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4706, + "step": 8479 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4593, + "step": 8480 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.49, + "step": 8481 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 8482 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 8483 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6301, + "step": 8484 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.537, + "step": 8485 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5478, + "step": 8486 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5788, + "step": 8487 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 8488 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.542, + "step": 8489 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5463, + "step": 8490 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 8491 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6284, + "step": 8492 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4358, + "step": 8493 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.624, + "step": 8494 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 8495 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 8496 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5315, + "step": 8497 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5769, + "step": 8498 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 8499 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 8500 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6473, + "step": 8501 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 8502 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6376, + "step": 8503 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 8504 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5863, + "step": 8505 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 8506 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5861, + "step": 8507 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5321, + "step": 8508 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5671, + "step": 8509 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.726, + "step": 8510 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5266, + "step": 8511 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 8512 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6277, + "step": 8513 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 8514 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5799, + "step": 8515 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.471, + "step": 8516 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5511, + "step": 8517 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 8518 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4971, + "step": 8519 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5486, + "step": 8520 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 8521 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4876, + "step": 8522 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5312, + "step": 8523 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5654, + "step": 8524 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5305, + "step": 8525 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5472, + "step": 8526 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.6368, + "step": 8527 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5543, + "step": 8528 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4992, + "step": 8529 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5217, + "step": 8530 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5162, + "step": 8531 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5183, + "step": 8532 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.4914, + "step": 8533 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 8534 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5792, + "step": 8535 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.616, + "step": 8536 + }, + { + "epoch": 0.94, + "learning_rate": 2e-05, + "loss": 0.5675, + "step": 8537 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5381, + "step": 8538 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 8539 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 8540 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 8541 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4994, + "step": 8542 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4939, + "step": 8543 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5103, + "step": 8544 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.533, + "step": 8545 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.504, + "step": 8546 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6191, + "step": 8547 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 8548 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5628, + "step": 8549 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 8550 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5989, + "step": 8551 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.479, + "step": 8552 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5409, + "step": 8553 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4763, + "step": 8554 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4443, + "step": 8555 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 8556 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5097, + "step": 8557 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 8558 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 8559 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.506, + "step": 8560 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 8561 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6461, + "step": 8562 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 8563 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 8564 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.559, + "step": 8565 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5098, + "step": 8566 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5038, + "step": 8567 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5833, + "step": 8568 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5138, + "step": 8569 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5501, + "step": 8570 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6542, + "step": 8571 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5303, + "step": 8572 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.541, + "step": 8573 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5213, + "step": 8574 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5549, + "step": 8575 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6126, + "step": 8576 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 8577 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5599, + "step": 8578 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 8579 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6044, + "step": 8580 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.518, + "step": 8581 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5946, + "step": 8582 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4882, + "step": 8583 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5125, + "step": 8584 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5976, + "step": 8585 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6114, + "step": 8586 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5299, + "step": 8587 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4868, + "step": 8588 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5944, + "step": 8589 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5473, + "step": 8590 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4277, + "step": 8591 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5151, + "step": 8592 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5099, + "step": 8593 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 8594 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5665, + "step": 8595 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4993, + "step": 8596 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5645, + "step": 8597 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4321, + "step": 8598 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5666, + "step": 8599 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5298, + "step": 8600 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5392, + "step": 8601 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5592, + "step": 8602 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 8603 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5912, + "step": 8604 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 8605 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5714, + "step": 8606 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6047, + "step": 8607 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 8608 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 8609 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5319, + "step": 8610 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5205, + "step": 8611 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6151, + "step": 8612 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6095, + "step": 8613 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5798, + "step": 8614 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 8615 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 8616 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5007, + "step": 8617 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 8618 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5438, + "step": 8619 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.446, + "step": 8620 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.455, + "step": 8621 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 8622 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.627, + "step": 8623 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6869, + "step": 8624 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.5564, + "step": 8625 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.6339, + "step": 8626 + }, + { + "epoch": 0.95, + "learning_rate": 2e-05, + "loss": 0.4959, + "step": 8627 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5579, + "step": 8628 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5776, + "step": 8629 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5514, + "step": 8630 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5735, + "step": 8631 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6832, + "step": 8632 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5466, + "step": 8633 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 8634 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5457, + "step": 8635 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4863, + "step": 8636 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5163, + "step": 8637 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6957, + "step": 8638 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 8639 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5511, + "step": 8640 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4821, + "step": 8641 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 8642 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5005, + "step": 8643 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4924, + "step": 8644 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.619, + "step": 8645 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5142, + "step": 8646 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5606, + "step": 8647 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.484, + "step": 8648 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6258, + "step": 8649 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5357, + "step": 8650 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5021, + "step": 8651 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4706, + "step": 8652 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 8653 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 8654 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5864, + "step": 8655 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 8656 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 8657 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4943, + "step": 8658 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 8659 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4692, + "step": 8660 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 8661 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5854, + "step": 8662 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5403, + "step": 8663 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5832, + "step": 8664 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5419, + "step": 8665 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5184, + "step": 8666 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 8667 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5222, + "step": 8668 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4955, + "step": 8669 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5542, + "step": 8670 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 8671 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5548, + "step": 8672 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6353, + "step": 8673 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.516, + "step": 8674 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.476, + "step": 8675 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5257, + "step": 8676 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4501, + "step": 8677 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5273, + "step": 8678 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6424, + "step": 8679 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.54, + "step": 8680 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.452, + "step": 8681 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4826, + "step": 8682 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 8683 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5383, + "step": 8684 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 8685 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5786, + "step": 8686 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5244, + "step": 8687 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5486, + "step": 8688 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.53, + "step": 8689 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5218, + "step": 8690 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5481, + "step": 8691 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 8692 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5371, + "step": 8693 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5431, + "step": 8694 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4345, + "step": 8695 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 8696 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5013, + "step": 8697 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5704, + "step": 8698 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5168, + "step": 8699 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4782, + "step": 8700 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5052, + "step": 8701 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 8702 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6051, + "step": 8703 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5414, + "step": 8704 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5479, + "step": 8705 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 8706 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5767, + "step": 8707 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 8708 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.6107, + "step": 8709 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 8710 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5435, + "step": 8711 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5459, + "step": 8712 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4648, + "step": 8713 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4956, + "step": 8714 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 8715 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4562, + "step": 8716 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 8717 + }, + { + "epoch": 0.96, + "learning_rate": 2e-05, + "loss": 0.5775, + "step": 8718 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6301, + "step": 8719 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5432, + "step": 8720 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6563, + "step": 8721 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5439, + "step": 8722 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.564, + "step": 8723 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5938, + "step": 8724 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6649, + "step": 8725 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 8726 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4525, + "step": 8727 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6181, + "step": 8728 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 8729 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4692, + "step": 8730 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5527, + "step": 8731 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6142, + "step": 8732 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 8733 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 8734 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5241, + "step": 8735 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4802, + "step": 8736 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6383, + "step": 8737 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5136, + "step": 8738 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4782, + "step": 8739 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.565, + "step": 8740 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4511, + "step": 8741 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4749, + "step": 8742 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5105, + "step": 8743 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6002, + "step": 8744 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 8745 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5831, + "step": 8746 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 8747 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6099, + "step": 8748 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 8749 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 8750 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4881, + "step": 8751 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5848, + "step": 8752 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6574, + "step": 8753 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4728, + "step": 8754 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5569, + "step": 8755 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.536, + "step": 8756 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5766, + "step": 8757 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5365, + "step": 8758 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 8759 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5516, + "step": 8760 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 8761 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 8762 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 8763 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5703, + "step": 8764 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5523, + "step": 8765 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5255, + "step": 8766 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5076, + "step": 8767 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 8768 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 8769 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 8770 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.6163, + "step": 8771 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5931, + "step": 8772 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 8773 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 8774 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5949, + "step": 8775 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4726, + "step": 8776 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.674, + "step": 8777 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5465, + "step": 8778 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 8779 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 8780 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5335, + "step": 8781 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5591, + "step": 8782 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5337, + "step": 8783 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 8784 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5268, + "step": 8785 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 8786 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 8787 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.449, + "step": 8788 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5251, + "step": 8789 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4909, + "step": 8790 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4958, + "step": 8791 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5808, + "step": 8792 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5797, + "step": 8793 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5402, + "step": 8794 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 8795 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5902, + "step": 8796 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5417, + "step": 8797 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 8798 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5387, + "step": 8799 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5701, + "step": 8800 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.607, + "step": 8801 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5442, + "step": 8802 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 8803 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 8804 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5199, + "step": 8805 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5697, + "step": 8806 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 8807 + }, + { + "epoch": 0.97, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 8808 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.535, + "step": 8809 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5447, + "step": 8810 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6198, + "step": 8811 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5605, + "step": 8812 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5133, + "step": 8813 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 8814 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5257, + "step": 8815 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5194, + "step": 8816 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6493, + "step": 8817 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4779, + "step": 8818 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4914, + "step": 8819 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6043, + "step": 8820 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6793, + "step": 8821 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 8822 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 8823 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6274, + "step": 8824 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4888, + "step": 8825 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 8826 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4047, + "step": 8827 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5958, + "step": 8828 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5541, + "step": 8829 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 8830 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5428, + "step": 8831 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5206, + "step": 8832 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 8833 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5906, + "step": 8834 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 8835 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4628, + "step": 8836 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.656, + "step": 8837 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5216, + "step": 8838 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 8839 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5642, + "step": 8840 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.499, + "step": 8841 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5296, + "step": 8842 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5225, + "step": 8843 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5644, + "step": 8844 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5045, + "step": 8845 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5878, + "step": 8846 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5238, + "step": 8847 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6056, + "step": 8848 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 8849 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6272, + "step": 8850 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5708, + "step": 8851 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5713, + "step": 8852 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 8853 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5488, + "step": 8854 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.526, + "step": 8855 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.528, + "step": 8856 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4975, + "step": 8857 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5236, + "step": 8858 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5293, + "step": 8859 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.589, + "step": 8860 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4582, + "step": 8861 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5571, + "step": 8862 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5202, + "step": 8863 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.549, + "step": 8864 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5604, + "step": 8865 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 8866 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.489, + "step": 8867 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5995, + "step": 8868 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 8869 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6404, + "step": 8870 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4904, + "step": 8871 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5026, + "step": 8872 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5318, + "step": 8873 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 8874 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4872, + "step": 8875 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5302, + "step": 8876 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 8877 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 8878 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5021, + "step": 8879 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5026, + "step": 8880 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5278, + "step": 8881 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6198, + "step": 8882 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6491, + "step": 8883 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4792, + "step": 8884 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4945, + "step": 8885 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5378, + "step": 8886 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4908, + "step": 8887 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 8888 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5048, + "step": 8889 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5201, + "step": 8890 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.7121, + "step": 8891 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5722, + "step": 8892 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6129, + "step": 8893 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5612, + "step": 8894 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5594, + "step": 8895 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.5424, + "step": 8896 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.4669, + "step": 8897 + }, + { + "epoch": 0.98, + "learning_rate": 2e-05, + "loss": 0.6559, + "step": 8898 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5155, + "step": 8899 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.647, + "step": 8900 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.655, + "step": 8901 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5813, + "step": 8902 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5016, + "step": 8903 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 8904 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5803, + "step": 8905 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5173, + "step": 8906 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5838, + "step": 8907 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4777, + "step": 8908 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 8909 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5521, + "step": 8910 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4466, + "step": 8911 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5186, + "step": 8912 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5993, + "step": 8913 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5185, + "step": 8914 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4807, + "step": 8915 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 8916 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4585, + "step": 8917 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4683, + "step": 8918 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 8919 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4774, + "step": 8920 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 8921 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 8922 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5433, + "step": 8923 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 8924 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 8925 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4748, + "step": 8926 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6683, + "step": 8927 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.495, + "step": 8928 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6624, + "step": 8929 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 8930 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5655, + "step": 8931 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5589, + "step": 8932 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6285, + "step": 8933 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5587, + "step": 8934 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 8935 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5149, + "step": 8936 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4444, + "step": 8937 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5829, + "step": 8938 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5209, + "step": 8939 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5286, + "step": 8940 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5369, + "step": 8941 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6384, + "step": 8942 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5949, + "step": 8943 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5264, + "step": 8944 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5891, + "step": 8945 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5341, + "step": 8946 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 8947 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5446, + "step": 8948 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 8949 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 8950 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4708, + "step": 8951 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4606, + "step": 8952 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5386, + "step": 8953 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5873, + "step": 8954 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.491, + "step": 8955 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5261, + "step": 8956 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5668, + "step": 8957 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 8958 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 8959 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5001, + "step": 8960 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6141, + "step": 8961 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5179, + "step": 8962 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.561, + "step": 8963 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5666, + "step": 8964 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5582, + "step": 8965 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.458, + "step": 8966 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5057, + "step": 8967 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4716, + "step": 8968 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 8969 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4485, + "step": 8970 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5061, + "step": 8971 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5508, + "step": 8972 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6281, + "step": 8973 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 8974 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6241, + "step": 8975 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5506, + "step": 8976 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5773, + "step": 8977 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.611, + "step": 8978 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 8979 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 8980 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5375, + "step": 8981 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.496, + "step": 8982 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5366, + "step": 8983 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5696, + "step": 8984 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 8985 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4616, + "step": 8986 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.4592, + "step": 8987 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.6595, + "step": 8988 + }, + { + "epoch": 0.99, + "learning_rate": 2e-05, + "loss": 0.5613, + "step": 8989 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4551, + "step": 8990 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5557, + "step": 8991 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5145, + "step": 8992 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5635, + "step": 8993 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5593, + "step": 8994 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6198, + "step": 8995 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6094, + "step": 8996 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.622, + "step": 8997 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4816, + "step": 8998 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5682, + "step": 8999 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5461, + "step": 9000 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 9001 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5493, + "step": 9002 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5102, + "step": 9003 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5673, + "step": 9004 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5532, + "step": 9005 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5748, + "step": 9006 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4765, + "step": 9007 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5212, + "step": 9008 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 9009 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 9010 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5849, + "step": 9011 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5158, + "step": 9012 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5064, + "step": 9013 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4963, + "step": 9014 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6097, + "step": 9015 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5856, + "step": 9016 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5608, + "step": 9017 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 9018 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5572, + "step": 9019 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.515, + "step": 9020 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5356, + "step": 9021 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6622, + "step": 9022 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6106, + "step": 9023 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4768, + "step": 9024 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.518, + "step": 9025 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.6131, + "step": 9026 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5432, + "step": 9027 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4908, + "step": 9028 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5412, + "step": 9029 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 9030 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4579, + "step": 9031 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5119, + "step": 9032 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 9033 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 9034 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4704, + "step": 9035 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4773, + "step": 9036 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4426, + "step": 9037 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 9038 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 9039 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 9040 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4728, + "step": 9041 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 9042 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 9043 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 9044 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 9045 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 9046 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 9047 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 9048 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 9049 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 9050 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 9051 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 9052 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 9053 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.457, + "step": 9054 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 9055 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 9056 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 9057 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 9058 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 9059 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 9060 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 9061 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5493, + "step": 9062 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 9063 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 9064 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 9065 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 9066 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 9067 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 9068 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.5203, + "step": 9069 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4616, + "step": 9070 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 9071 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3337, + "step": 9072 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 9073 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 9074 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 9075 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 9076 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 9077 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 9078 + }, + { + "epoch": 1.0, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 9079 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 9080 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 9081 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 9082 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 9083 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 9084 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 9085 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 9086 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 9087 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3465, + "step": 9088 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.348, + "step": 9089 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4434, + "step": 9090 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4483, + "step": 9091 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3423, + "step": 9092 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3762, + "step": 9093 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3056, + "step": 9094 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 9095 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3268, + "step": 9096 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 9097 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3637, + "step": 9098 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 9099 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 9100 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 9101 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 9102 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 9103 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3237, + "step": 9104 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4138, + "step": 9105 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3606, + "step": 9106 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3345, + "step": 9107 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 9108 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4492, + "step": 9109 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 9110 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 9111 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 9112 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 9113 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 9114 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 9115 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 9116 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 9117 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 9118 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 9119 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 9120 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3487, + "step": 9121 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 9122 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3627, + "step": 9123 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 9124 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 9125 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.299, + "step": 9126 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 9127 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 9128 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 9129 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 9130 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 9131 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 9132 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 9133 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4484, + "step": 9134 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 9135 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4639, + "step": 9136 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 9137 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4346, + "step": 9138 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 9139 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 9140 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 9141 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 9142 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 9143 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 9144 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.2986, + "step": 9145 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3193, + "step": 9146 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4514, + "step": 9147 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 9148 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3252, + "step": 9149 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 9150 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 9151 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 9152 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 9153 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3762, + "step": 9154 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 9155 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 9156 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4723, + "step": 9157 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 9158 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4491, + "step": 9159 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 9160 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 9161 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4003, + "step": 9162 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3359, + "step": 9163 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 9164 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 9165 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4032, + "step": 9166 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 9167 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 9168 + }, + { + "epoch": 1.01, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 9169 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 9170 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.5477, + "step": 9171 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 9172 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3547, + "step": 9173 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 9174 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3079, + "step": 9175 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 9176 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 9177 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 9178 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 9179 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 9180 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 9181 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 9182 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 9183 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 9184 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 9185 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 9186 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 9187 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 9188 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3389, + "step": 9189 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 9190 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 9191 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 9192 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 9193 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 9194 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 9195 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 9196 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 9197 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3549, + "step": 9198 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 9199 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4495, + "step": 9200 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 9201 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 9202 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4258, + "step": 9203 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 9204 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3499, + "step": 9205 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 9206 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 9207 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3416, + "step": 9208 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 9209 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 9210 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 9211 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 9212 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 9213 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 9214 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 9215 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3407, + "step": 9216 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3285, + "step": 9217 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4322, + "step": 9218 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 9219 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 9220 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 9221 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 9222 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4317, + "step": 9223 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 9224 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4427, + "step": 9225 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4165, + "step": 9226 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 9227 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 9228 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3626, + "step": 9229 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 9230 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 9231 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3471, + "step": 9232 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 9233 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 9234 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 9235 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 9236 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.2961, + "step": 9237 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 9238 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 9239 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 9240 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4501, + "step": 9241 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 9242 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 9243 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 9244 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3222, + "step": 9245 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 9246 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 9247 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 9248 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 9249 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 9250 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3946, + "step": 9251 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 9252 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 9253 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 9254 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 9255 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 9256 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 9257 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3357, + "step": 9258 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3638, + "step": 9259 + }, + { + "epoch": 1.02, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 9260 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 9261 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 9262 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 9263 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 9264 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 9265 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4571, + "step": 9266 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.5091, + "step": 9267 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 9268 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.427, + "step": 9269 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 9270 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 9271 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 9272 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 9273 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3248, + "step": 9274 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 9275 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 9276 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3356, + "step": 9277 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 9278 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 9279 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 9280 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 9281 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3548, + "step": 9282 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 9283 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4321, + "step": 9284 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4494, + "step": 9285 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 9286 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 9287 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 9288 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 9289 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4409, + "step": 9290 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 9291 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 9292 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 9293 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4048, + "step": 9294 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 9295 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3836, + "step": 9296 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 9297 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3164, + "step": 9298 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4444, + "step": 9299 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 9300 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 9301 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 9302 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 9303 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 9304 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 9305 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 9306 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 9307 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3529, + "step": 9308 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.488, + "step": 9309 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.5198, + "step": 9310 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 9311 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 9312 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 9313 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 9314 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 9315 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 9316 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 9317 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 9318 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 9319 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 9320 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 9321 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 9322 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 9323 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 9324 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 9325 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 9326 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 9327 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 9328 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 9329 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 9330 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 9331 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 9332 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4419, + "step": 9333 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3605, + "step": 9334 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3219, + "step": 9335 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 9336 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 9337 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 9338 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3387, + "step": 9339 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 9340 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3192, + "step": 9341 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 9342 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 9343 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.2957, + "step": 9344 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 9345 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3814, + "step": 9346 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 9347 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 9348 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 9349 + }, + { + "epoch": 1.03, + "learning_rate": 2e-05, + "loss": 0.5002, + "step": 9350 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3349, + "step": 9351 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 9352 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 9353 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 9354 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 9355 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 9356 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 9357 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 9358 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 9359 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 9360 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 9361 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 9362 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4646, + "step": 9363 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 9364 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 9365 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 9366 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3616, + "step": 9367 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 9368 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 9369 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 9370 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 9371 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4403, + "step": 9372 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 9373 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 9374 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3168, + "step": 9375 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 9376 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3637, + "step": 9377 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3984, + "step": 9378 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 9379 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 9380 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3609, + "step": 9381 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3186, + "step": 9382 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 9383 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 9384 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 9385 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 9386 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3158, + "step": 9387 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 9388 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 9389 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 9390 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 9391 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 9392 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 9393 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 9394 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 9395 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3432, + "step": 9396 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 9397 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3599, + "step": 9398 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 9399 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 9400 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4334, + "step": 9401 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 9402 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 9403 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 9404 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 9405 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 9406 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 9407 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 9408 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 9409 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 9410 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 9411 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3705, + "step": 9412 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 9413 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 9414 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 9415 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 9416 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 9417 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 9418 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 9419 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 9420 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3943, + "step": 9421 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 9422 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 9423 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 9424 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 9425 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 9426 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 9427 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4519, + "step": 9428 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 9429 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3141, + "step": 9430 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 9431 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 9432 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 9433 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3976, + "step": 9434 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3689, + "step": 9435 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 9436 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 9437 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 9438 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 9439 + }, + { + "epoch": 1.04, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 9440 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3174, + "step": 9441 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 9442 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4396, + "step": 9443 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3513, + "step": 9444 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 9445 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 9446 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 9447 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 9448 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 9449 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.2999, + "step": 9450 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 9451 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 9452 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3606, + "step": 9453 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 9454 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 9455 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 9456 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 9457 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.2854, + "step": 9458 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 9459 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 9460 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 9461 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 9462 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3565, + "step": 9463 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 9464 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 9465 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 9466 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 9467 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 9468 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.308, + "step": 9469 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 9470 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 9471 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3501, + "step": 9472 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 9473 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 9474 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 9475 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 9476 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 9477 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 9478 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 9479 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.2931, + "step": 9480 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 9481 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 9482 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 9483 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 9484 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4541, + "step": 9485 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 9486 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3405, + "step": 9487 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 9488 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 9489 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 9490 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 9491 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 9492 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 9493 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3513, + "step": 9494 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 9495 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3788, + "step": 9496 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 9497 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3993, + "step": 9498 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 9499 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3489, + "step": 9500 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 9501 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 9502 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 9503 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4049, + "step": 9504 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 9505 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4582, + "step": 9506 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3279, + "step": 9507 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 9508 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 9509 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 9510 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 9511 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 9512 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 9513 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3564, + "step": 9514 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 9515 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 9516 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 9517 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 9518 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3431, + "step": 9519 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 9520 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 9521 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 9522 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 9523 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4483, + "step": 9524 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 9525 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 9526 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3493, + "step": 9527 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 9528 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 9529 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 9530 + }, + { + "epoch": 1.05, + "learning_rate": 2e-05, + "loss": 0.4312, + "step": 9531 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4319, + "step": 9532 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.314, + "step": 9533 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 9534 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 9535 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3705, + "step": 9536 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4978, + "step": 9537 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 9538 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 9539 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3365, + "step": 9540 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4278, + "step": 9541 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 9542 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.344, + "step": 9543 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3268, + "step": 9544 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.335, + "step": 9545 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 9546 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4864, + "step": 9547 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4452, + "step": 9548 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3617, + "step": 9549 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 9550 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3807, + "step": 9551 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.5083, + "step": 9552 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 9553 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3216, + "step": 9554 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 9555 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 9556 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 9557 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 9558 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 9559 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 9560 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4258, + "step": 9561 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 9562 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 9563 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3231, + "step": 9564 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 9565 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 9566 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 9567 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 9568 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 9569 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 9570 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 9571 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3934, + "step": 9572 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 9573 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 9574 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 9575 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 9576 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 9577 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3372, + "step": 9578 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 9579 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 9580 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 9581 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 9582 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 9583 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4164, + "step": 9584 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 9585 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 9586 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 9587 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 9588 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 9589 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3568, + "step": 9590 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 9591 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 9592 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4284, + "step": 9593 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 9594 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 9595 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 9596 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.324, + "step": 9597 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 9598 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 9599 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 9600 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4638, + "step": 9601 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 9602 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 9603 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4414, + "step": 9604 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3487, + "step": 9605 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 9606 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 9607 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.329, + "step": 9608 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.2924, + "step": 9609 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4569, + "step": 9610 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 9611 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 9612 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 9613 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.35, + "step": 9614 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 9615 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 9616 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 9617 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.5003, + "step": 9618 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 9619 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3198, + "step": 9620 + }, + { + "epoch": 1.06, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 9621 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 9622 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 9623 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 9624 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 9625 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 9626 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 9627 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 9628 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 9629 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 9630 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 9631 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3185, + "step": 9632 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 9633 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 9634 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.431, + "step": 9635 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 9636 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 9637 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 9638 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3319, + "step": 9639 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 9640 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 9641 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 9642 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 9643 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 9644 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 9645 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 9646 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 9647 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 9648 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 9649 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 9650 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 9651 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 9652 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 9653 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3969, + "step": 9654 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 9655 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 9656 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.2944, + "step": 9657 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 9658 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 9659 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 9660 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 9661 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.295, + "step": 9662 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3176, + "step": 9663 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 9664 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 9665 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 9666 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 9667 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 9668 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 9669 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 9670 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4432, + "step": 9671 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3435, + "step": 9672 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 9673 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 9674 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3638, + "step": 9675 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 9676 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 9677 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 9678 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 9679 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 9680 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4451, + "step": 9681 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 9682 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 9683 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 9684 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.34, + "step": 9685 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 9686 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 9687 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 9688 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 9689 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 9690 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4169, + "step": 9691 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 9692 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 9693 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3907, + "step": 9694 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3252, + "step": 9695 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3498, + "step": 9696 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 9697 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 9698 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3014, + "step": 9699 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 9700 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 9701 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 9702 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3907, + "step": 9703 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3435, + "step": 9704 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4084, + "step": 9705 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3301, + "step": 9706 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 9707 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3079, + "step": 9708 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 9709 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.3274, + "step": 9710 + }, + { + "epoch": 1.07, + "learning_rate": 2e-05, + "loss": 0.4173, + "step": 9711 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3479, + "step": 9712 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 9713 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4293, + "step": 9714 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 9715 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4249, + "step": 9716 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 9717 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 9718 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 9719 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 9720 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 9721 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 9722 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 9723 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 9724 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3446, + "step": 9725 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 9726 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 9727 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 9728 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4513, + "step": 9729 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 9730 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 9731 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 9732 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 9733 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 9734 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 9735 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 9736 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 9737 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4519, + "step": 9738 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3482, + "step": 9739 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3697, + "step": 9740 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 9741 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 9742 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4462, + "step": 9743 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3464, + "step": 9744 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 9745 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4961, + "step": 9746 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 9747 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3117, + "step": 9748 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 9749 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 9750 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 9751 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 9752 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 9753 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 9754 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 9755 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 9756 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 9757 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.355, + "step": 9758 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3012, + "step": 9759 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 9760 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3304, + "step": 9761 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 9762 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 9763 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 9764 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 9765 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 9766 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 9767 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 9768 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 9769 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3805, + "step": 9770 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 9771 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3498, + "step": 9772 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3105, + "step": 9773 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 9774 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 9775 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3323, + "step": 9776 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 9777 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 9778 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3465, + "step": 9779 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 9780 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 9781 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 9782 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 9783 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 9784 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 9785 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 9786 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 9787 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4396, + "step": 9788 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4149, + "step": 9789 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3276, + "step": 9790 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 9791 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 9792 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4346, + "step": 9793 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 9794 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3552, + "step": 9795 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3051, + "step": 9796 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4165, + "step": 9797 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.307, + "step": 9798 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 9799 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.3943, + "step": 9800 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4645, + "step": 9801 + }, + { + "epoch": 1.08, + "learning_rate": 2e-05, + "loss": 0.4568, + "step": 9802 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 9803 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 9804 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 9805 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 9806 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 9807 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 9808 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 9809 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 9810 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 9811 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 9812 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 9813 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 9814 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3223, + "step": 9815 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3163, + "step": 9816 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4321, + "step": 9817 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 9818 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 9819 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4109, + "step": 9820 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 9821 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 9822 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 9823 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 9824 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 9825 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 9826 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 9827 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 9828 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4333, + "step": 9829 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 9830 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 9831 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3242, + "step": 9832 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 9833 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 9834 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3137, + "step": 9835 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 9836 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 9837 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3764, + "step": 9838 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 9839 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 9840 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 9841 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 9842 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 9843 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 9844 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4941, + "step": 9845 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 9846 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3085, + "step": 9847 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3231, + "step": 9848 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 9849 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 9850 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3286, + "step": 9851 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 9852 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 9853 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 9854 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 9855 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 9856 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 9857 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3347, + "step": 9858 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4142, + "step": 9859 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 9860 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 9861 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 9862 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 9863 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 9864 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 9865 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 9866 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 9867 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 9868 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 9869 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3346, + "step": 9870 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 9871 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 9872 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 9873 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 9874 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 9875 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 9876 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 9877 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 9878 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4559, + "step": 9879 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 9880 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 9881 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4176, + "step": 9882 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3769, + "step": 9883 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 9884 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 9885 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 9886 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 9887 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 9888 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 9889 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 9890 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.3198, + "step": 9891 + }, + { + "epoch": 1.09, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 9892 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 9893 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4562, + "step": 9894 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 9895 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4277, + "step": 9896 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4737, + "step": 9897 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 9898 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 9899 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.355, + "step": 9900 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 9901 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 9902 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 9903 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 9904 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 9905 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 9906 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 9907 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 9908 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3286, + "step": 9909 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 9910 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4215, + "step": 9911 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 9912 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 9913 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 9914 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 9915 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3603, + "step": 9916 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 9917 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 9918 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 9919 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 9920 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 9921 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 9922 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3232, + "step": 9923 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 9924 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.335, + "step": 9925 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 9926 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 9927 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 9928 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 9929 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 9930 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3807, + "step": 9931 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 9932 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.318, + "step": 9933 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 9934 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 9935 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 9936 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 9937 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 9938 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4571, + "step": 9939 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3103, + "step": 9940 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 9941 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 9942 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 9943 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 9944 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 9945 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3237, + "step": 9946 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3377, + "step": 9947 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 9948 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 9949 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.473, + "step": 9950 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 9951 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 9952 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 9953 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 9954 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3298, + "step": 9955 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 9956 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 9957 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 9958 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 9959 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.5398, + "step": 9960 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 9961 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 9962 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 9963 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3569, + "step": 9964 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 9965 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3088, + "step": 9966 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 9967 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4526, + "step": 9968 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 9969 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 9970 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 9971 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 9972 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3334, + "step": 9973 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3548, + "step": 9974 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 9975 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4587, + "step": 9976 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 9977 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 9978 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.333, + "step": 9979 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.2977, + "step": 9980 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 9981 + }, + { + "epoch": 1.1, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 9982 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 9983 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 9984 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4626, + "step": 9985 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4361, + "step": 9986 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 9987 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 9988 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4371, + "step": 9989 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 9990 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3622, + "step": 9991 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 9992 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 9993 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4542, + "step": 9994 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 9995 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 9996 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4457, + "step": 9997 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 9998 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 9999 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 10000 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 10001 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 10002 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 10003 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 10004 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 10005 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3171, + "step": 10006 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 10007 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 10008 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 10009 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.327, + "step": 10010 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3511, + "step": 10011 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 10012 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 10013 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 10014 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 10015 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 10016 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 10017 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 10018 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 10019 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4319, + "step": 10020 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3322, + "step": 10021 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 10022 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 10023 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 10024 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3848, + "step": 10025 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 10026 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 10027 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3372, + "step": 10028 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 10029 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4319, + "step": 10030 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 10031 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3443, + "step": 10032 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 10033 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.2979, + "step": 10034 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 10035 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4193, + "step": 10036 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.361, + "step": 10037 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3098, + "step": 10038 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 10039 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.5272, + "step": 10040 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3993, + "step": 10041 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 10042 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 10043 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 10044 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4727, + "step": 10045 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.332, + "step": 10046 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 10047 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 10048 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 10049 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 10050 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 10051 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 10052 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.372, + "step": 10053 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 10054 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 10055 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 10056 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 10057 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 10058 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4092, + "step": 10059 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4396, + "step": 10060 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 10061 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4228, + "step": 10062 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 10063 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 10064 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 10065 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 10066 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4676, + "step": 10067 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 10068 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.377, + "step": 10069 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 10070 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 10071 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.3413, + "step": 10072 + }, + { + "epoch": 1.11, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 10073 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 10074 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3549, + "step": 10075 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 10076 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.487, + "step": 10077 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 10078 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4437, + "step": 10079 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 10080 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3012, + "step": 10081 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 10082 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 10083 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 10084 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3517, + "step": 10085 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.471, + "step": 10086 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 10087 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3924, + "step": 10088 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 10089 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 10090 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 10091 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4344, + "step": 10092 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3934, + "step": 10093 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 10094 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 10095 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3384, + "step": 10096 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 10097 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 10098 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4693, + "step": 10099 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 10100 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4362, + "step": 10101 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4476, + "step": 10102 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 10103 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 10104 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3361, + "step": 10105 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 10106 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 10107 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4284, + "step": 10108 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 10109 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.375, + "step": 10110 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 10111 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 10112 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 10113 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 10114 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 10115 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3236, + "step": 10116 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3265, + "step": 10117 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 10118 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 10119 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3609, + "step": 10120 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 10121 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3408, + "step": 10122 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 10123 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 10124 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 10125 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3705, + "step": 10126 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 10127 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3329, + "step": 10128 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 10129 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.5034, + "step": 10130 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 10131 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 10132 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 10133 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 10134 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3149, + "step": 10135 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.365, + "step": 10136 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 10137 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 10138 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 10139 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3307, + "step": 10140 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 10141 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 10142 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 10143 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 10144 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 10145 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.5253, + "step": 10146 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 10147 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.405, + "step": 10148 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 10149 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 10150 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 10151 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 10152 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 10153 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4612, + "step": 10154 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 10155 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 10156 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 10157 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 10158 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 10159 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4943, + "step": 10160 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4337, + "step": 10161 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.4587, + "step": 10162 + }, + { + "epoch": 1.12, + "learning_rate": 2e-05, + "loss": 0.3645, + "step": 10163 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 10164 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4134, + "step": 10165 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 10166 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 10167 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 10168 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 10169 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 10170 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.35, + "step": 10171 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.2905, + "step": 10172 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3637, + "step": 10173 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3762, + "step": 10174 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 10175 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3907, + "step": 10176 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3698, + "step": 10177 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 10178 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 10179 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 10180 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 10181 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 10182 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 10183 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 10184 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4109, + "step": 10185 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3579, + "step": 10186 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 10187 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 10188 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3082, + "step": 10189 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 10190 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 10191 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 10192 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.2956, + "step": 10193 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 10194 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 10195 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4525, + "step": 10196 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 10197 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 10198 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 10199 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 10200 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 10201 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3487, + "step": 10202 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 10203 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4452, + "step": 10204 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 10205 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 10206 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3582, + "step": 10207 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 10208 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3298, + "step": 10209 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3453, + "step": 10210 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 10211 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 10212 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 10213 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 10214 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 10215 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 10216 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 10217 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3419, + "step": 10218 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 10219 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 10220 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 10221 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 10222 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 10223 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 10224 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3321, + "step": 10225 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 10226 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 10227 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 10228 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.332, + "step": 10229 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 10230 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 10231 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 10232 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 10233 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 10234 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3555, + "step": 10235 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 10236 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 10237 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 10238 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 10239 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 10240 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 10241 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 10242 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 10243 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 10244 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 10245 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 10246 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 10247 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 10248 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4249, + "step": 10249 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 10250 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 10251 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 10252 + }, + { + "epoch": 1.13, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 10253 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 10254 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 10255 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 10256 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 10257 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4671, + "step": 10258 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3495, + "step": 10259 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 10260 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 10261 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 10262 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 10263 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 10264 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 10265 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 10266 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 10267 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 10268 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 10269 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 10270 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4501, + "step": 10271 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 10272 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 10273 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 10274 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 10275 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 10276 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4509, + "step": 10277 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 10278 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 10279 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 10280 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 10281 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 10282 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 10283 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 10284 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 10285 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 10286 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 10287 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 10288 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 10289 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4432, + "step": 10290 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 10291 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 10292 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 10293 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3317, + "step": 10294 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 10295 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3176, + "step": 10296 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 10297 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3913, + "step": 10298 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 10299 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4631, + "step": 10300 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 10301 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 10302 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3651, + "step": 10303 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3485, + "step": 10304 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3311, + "step": 10305 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 10306 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 10307 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 10308 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 10309 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 10310 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 10311 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 10312 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3954, + "step": 10313 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 10314 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 10315 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4486, + "step": 10316 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 10317 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.442, + "step": 10318 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3428, + "step": 10319 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 10320 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3599, + "step": 10321 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4423, + "step": 10322 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3222, + "step": 10323 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 10324 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3378, + "step": 10325 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 10326 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 10327 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 10328 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3139, + "step": 10329 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 10330 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 10331 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3777, + "step": 10332 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3337, + "step": 10333 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 10334 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 10335 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 10336 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3769, + "step": 10337 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 10338 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 10339 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 10340 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 10341 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 10342 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 10343 + }, + { + "epoch": 1.14, + "learning_rate": 2e-05, + "loss": 0.3467, + "step": 10344 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3705, + "step": 10345 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3383, + "step": 10346 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 10347 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 10348 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 10349 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 10350 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 10351 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 10352 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 10353 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 10354 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 10355 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 10356 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3502, + "step": 10357 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 10358 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 10359 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3437, + "step": 10360 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3116, + "step": 10361 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4528, + "step": 10362 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3067, + "step": 10363 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 10364 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 10365 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 10366 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 10367 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 10368 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 10369 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 10370 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 10371 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 10372 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 10373 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 10374 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3376, + "step": 10375 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3136, + "step": 10376 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 10377 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 10378 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 10379 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 10380 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 10381 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 10382 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 10383 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 10384 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4654, + "step": 10385 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.426, + "step": 10386 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4377, + "step": 10387 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 10388 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 10389 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3292, + "step": 10390 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 10391 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 10392 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.348, + "step": 10393 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 10394 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 10395 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 10396 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 10397 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 10398 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 10399 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 10400 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 10401 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 10402 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3498, + "step": 10403 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 10404 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 10405 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 10406 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.6067, + "step": 10407 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 10408 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3788, + "step": 10409 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3394, + "step": 10410 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 10411 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 10412 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 10413 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.346, + "step": 10414 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4867, + "step": 10415 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 10416 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 10417 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 10418 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3383, + "step": 10419 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 10420 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.451, + "step": 10421 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 10422 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 10423 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 10424 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4626, + "step": 10425 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 10426 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 10427 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3447, + "step": 10428 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 10429 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 10430 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 10431 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 10432 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 10433 + }, + { + "epoch": 1.15, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 10434 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.5021, + "step": 10435 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 10436 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 10437 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 10438 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4615, + "step": 10439 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 10440 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4504, + "step": 10441 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 10442 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 10443 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 10444 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3055, + "step": 10445 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 10446 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 10447 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 10448 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 10449 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4189, + "step": 10450 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 10451 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 10452 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.323, + "step": 10453 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 10454 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 10455 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 10456 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.34, + "step": 10457 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 10458 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.2989, + "step": 10459 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 10460 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 10461 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 10462 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 10463 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4183, + "step": 10464 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 10465 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 10466 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 10467 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 10468 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 10469 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4706, + "step": 10470 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 10471 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 10472 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 10473 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 10474 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 10475 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 10476 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 10477 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 10478 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4317, + "step": 10479 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 10480 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 10481 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 10482 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 10483 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3481, + "step": 10484 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3232, + "step": 10485 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3413, + "step": 10486 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3313, + "step": 10487 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 10488 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3372, + "step": 10489 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 10490 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4285, + "step": 10491 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 10492 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 10493 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3388, + "step": 10494 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3371, + "step": 10495 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 10496 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 10497 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 10498 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 10499 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 10500 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3487, + "step": 10501 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 10502 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4593, + "step": 10503 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 10504 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 10505 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 10506 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 10507 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 10508 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 10509 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3344, + "step": 10510 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 10511 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 10512 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4451, + "step": 10513 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4816, + "step": 10514 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 10515 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 10516 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 10517 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 10518 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 10519 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 10520 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 10521 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 10522 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 10523 + }, + { + "epoch": 1.16, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 10524 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4368, + "step": 10525 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3976, + "step": 10526 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 10527 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 10528 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 10529 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 10530 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 10531 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3495, + "step": 10532 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 10533 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 10534 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 10535 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 10536 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3555, + "step": 10537 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 10538 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 10539 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 10540 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 10541 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 10542 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3407, + "step": 10543 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 10544 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 10545 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 10546 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 10547 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 10548 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 10549 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 10550 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 10551 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 10552 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 10553 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 10554 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 10555 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 10556 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3096, + "step": 10557 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.412, + "step": 10558 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 10559 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4328, + "step": 10560 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 10561 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3487, + "step": 10562 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3529, + "step": 10563 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 10564 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3343, + "step": 10565 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3402, + "step": 10566 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 10567 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 10568 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 10569 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 10570 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 10571 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 10572 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 10573 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 10574 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 10575 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 10576 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 10577 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 10578 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 10579 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3573, + "step": 10580 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4395, + "step": 10581 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 10582 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 10583 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 10584 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 10585 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 10586 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 10587 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 10588 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.5196, + "step": 10589 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3342, + "step": 10590 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 10591 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 10592 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4384, + "step": 10593 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 10594 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 10595 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 10596 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 10597 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 10598 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3495, + "step": 10599 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 10600 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 10601 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 10602 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 10603 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 10604 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 10605 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 10606 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 10607 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 10608 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 10609 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3155, + "step": 10610 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4736, + "step": 10611 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4427, + "step": 10612 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 10613 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3382, + "step": 10614 + }, + { + "epoch": 1.17, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 10615 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 10616 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 10617 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 10618 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 10619 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4337, + "step": 10620 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 10621 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 10622 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4529, + "step": 10623 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4621, + "step": 10624 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 10625 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 10626 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.422, + "step": 10627 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 10628 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3203, + "step": 10629 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3699, + "step": 10630 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3911, + "step": 10631 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 10632 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 10633 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 10634 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3314, + "step": 10635 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 10636 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4595, + "step": 10637 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 10638 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 10639 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4023, + "step": 10640 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3954, + "step": 10641 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 10642 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.337, + "step": 10643 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.313, + "step": 10644 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 10645 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 10646 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 10647 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 10648 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 10649 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4456, + "step": 10650 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 10651 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 10652 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 10653 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.331, + "step": 10654 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3385, + "step": 10655 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4629, + "step": 10656 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 10657 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 10658 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 10659 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 10660 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 10661 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 10662 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 10663 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 10664 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 10665 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3117, + "step": 10666 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 10667 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 10668 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 10669 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 10670 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 10671 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 10672 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3311, + "step": 10673 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 10674 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4134, + "step": 10675 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 10676 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 10677 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.415, + "step": 10678 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 10679 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 10680 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.453, + "step": 10681 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 10682 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4727, + "step": 10683 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 10684 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 10685 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 10686 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.46, + "step": 10687 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3336, + "step": 10688 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 10689 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 10690 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 10691 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 10692 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 10693 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.2996, + "step": 10694 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 10695 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 10696 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 10697 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 10698 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4504, + "step": 10699 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.2973, + "step": 10700 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 10701 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 10702 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3253, + "step": 10703 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 10704 + }, + { + "epoch": 1.18, + "learning_rate": 2e-05, + "loss": 0.3502, + "step": 10705 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 10706 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 10707 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 10708 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.439, + "step": 10709 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 10710 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 10711 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 10712 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 10713 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 10714 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3913, + "step": 10715 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 10716 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 10717 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 10718 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 10719 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 10720 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 10721 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3472, + "step": 10722 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 10723 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3238, + "step": 10724 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 10725 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3548, + "step": 10726 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 10727 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 10728 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 10729 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4872, + "step": 10730 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 10731 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 10732 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 10733 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4726, + "step": 10734 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 10735 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 10736 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3065, + "step": 10737 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 10738 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 10739 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 10740 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3298, + "step": 10741 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 10742 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3911, + "step": 10743 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3349, + "step": 10744 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3664, + "step": 10745 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 10746 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3188, + "step": 10747 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 10748 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 10749 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4253, + "step": 10750 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3334, + "step": 10751 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 10752 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 10753 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 10754 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 10755 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4531, + "step": 10756 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3453, + "step": 10757 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 10758 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 10759 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 10760 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 10761 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 10762 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4365, + "step": 10763 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 10764 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 10765 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 10766 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3357, + "step": 10767 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3162, + "step": 10768 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 10769 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3355, + "step": 10770 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4842, + "step": 10771 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 10772 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 10773 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 10774 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 10775 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 10776 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 10777 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 10778 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 10779 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 10780 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 10781 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 10782 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 10783 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3339, + "step": 10784 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 10785 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4497, + "step": 10786 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 10787 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 10788 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 10789 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3769, + "step": 10790 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3489, + "step": 10791 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 10792 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 10793 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 10794 + }, + { + "epoch": 1.19, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 10795 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.432, + "step": 10796 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 10797 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 10798 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3242, + "step": 10799 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 10800 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 10801 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 10802 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 10803 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 10804 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 10805 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 10806 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4478, + "step": 10807 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 10808 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3489, + "step": 10809 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 10810 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 10811 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 10812 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3492, + "step": 10813 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 10814 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 10815 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 10816 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 10817 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 10818 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 10819 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 10820 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 10821 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3158, + "step": 10822 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 10823 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 10824 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4951, + "step": 10825 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 10826 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 10827 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 10828 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 10829 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 10830 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3482, + "step": 10831 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.5054, + "step": 10832 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 10833 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 10834 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 10835 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 10836 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 10837 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4368, + "step": 10838 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 10839 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 10840 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 10841 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 10842 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 10843 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 10844 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 10845 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4624, + "step": 10846 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 10847 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 10848 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 10849 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 10850 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 10851 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 10852 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 10853 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 10854 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 10855 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 10856 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 10857 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 10858 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 10859 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 10860 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 10861 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3003, + "step": 10862 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3485, + "step": 10863 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 10864 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 10865 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 10866 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 10867 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 10868 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 10869 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3533, + "step": 10870 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 10871 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 10872 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 10873 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 10874 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 10875 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 10876 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4754, + "step": 10877 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4633, + "step": 10878 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.289, + "step": 10879 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 10880 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 10881 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 10882 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 10883 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 10884 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 10885 + }, + { + "epoch": 1.2, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 10886 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 10887 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 10888 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 10889 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 10890 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 10891 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 10892 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 10893 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 10894 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3399, + "step": 10895 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4808, + "step": 10896 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3208, + "step": 10897 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 10898 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 10899 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4786, + "step": 10900 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3935, + "step": 10901 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 10902 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 10903 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 10904 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 10905 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 10906 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4847, + "step": 10907 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 10908 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 10909 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 10910 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 10911 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 10912 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 10913 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 10914 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 10915 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 10916 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 10917 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 10918 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 10919 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 10920 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 10921 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3717, + "step": 10922 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 10923 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 10924 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 10925 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 10926 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 10927 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 10928 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 10929 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 10930 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 10931 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 10932 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4635, + "step": 10933 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.33, + "step": 10934 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 10935 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 10936 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 10937 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 10938 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 10939 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4723, + "step": 10940 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 10941 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 10942 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 10943 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 10944 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 10945 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3263, + "step": 10946 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 10947 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 10948 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 10949 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3116, + "step": 10950 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 10951 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 10952 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 10953 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3969, + "step": 10954 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 10955 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 10956 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3788, + "step": 10957 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.472, + "step": 10958 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3807, + "step": 10959 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4293, + "step": 10960 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 10961 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 10962 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4544, + "step": 10963 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 10964 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 10965 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 10966 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 10967 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 10968 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 10969 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 10970 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 10971 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 10972 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 10973 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3448, + "step": 10974 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 10975 + }, + { + "epoch": 1.21, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 10976 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 10977 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 10978 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 10979 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4729, + "step": 10980 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 10981 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4604, + "step": 10982 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 10983 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3557, + "step": 10984 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 10985 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3402, + "step": 10986 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 10987 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 10988 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 10989 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 10990 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 10991 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 10992 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 10993 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 10994 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 10995 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 10996 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.5018, + "step": 10997 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 10998 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3303, + "step": 10999 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 11000 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3067, + "step": 11001 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 11002 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.445, + "step": 11003 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 11004 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3482, + "step": 11005 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3622, + "step": 11006 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 11007 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 11008 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 11009 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 11010 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 11011 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 11012 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 11013 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4745, + "step": 11014 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 11015 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 11016 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 11017 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 11018 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 11019 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 11020 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 11021 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 11022 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 11023 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 11024 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 11025 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 11026 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 11027 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4396, + "step": 11028 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 11029 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 11030 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 11031 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 11032 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 11033 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 11034 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 11035 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 11036 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 11037 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 11038 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3549, + "step": 11039 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3284, + "step": 11040 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 11041 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 11042 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 11043 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 11044 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 11045 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.442, + "step": 11046 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 11047 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 11048 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.2915, + "step": 11049 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 11050 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4647, + "step": 11051 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 11052 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 11053 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 11054 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 11055 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 11056 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 11057 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3254, + "step": 11058 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 11059 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 11060 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 11061 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.4518, + "step": 11062 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.475, + "step": 11063 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3569, + "step": 11064 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 11065 + }, + { + "epoch": 1.22, + "learning_rate": 2e-05, + "loss": 0.3085, + "step": 11066 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 11067 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 11068 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 11069 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 11070 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 11071 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3554, + "step": 11072 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 11073 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 11074 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 11075 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3397, + "step": 11076 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 11077 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4181, + "step": 11078 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3135, + "step": 11079 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 11080 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4509, + "step": 11081 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.468, + "step": 11082 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 11083 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 11084 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3472, + "step": 11085 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 11086 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 11087 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.5235, + "step": 11088 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 11089 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 11090 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 11091 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 11092 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 11093 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4181, + "step": 11094 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 11095 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 11096 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 11097 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3443, + "step": 11098 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 11099 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 11100 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4715, + "step": 11101 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 11102 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 11103 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 11104 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 11105 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 11106 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 11107 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 11108 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 11109 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3282, + "step": 11110 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 11111 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 11112 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3467, + "step": 11113 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 11114 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 11115 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 11116 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 11117 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 11118 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 11119 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 11120 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 11121 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 11122 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 11123 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 11124 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 11125 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 11126 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 11127 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4185, + "step": 11128 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 11129 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 11130 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 11131 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 11132 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 11133 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4558, + "step": 11134 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3289, + "step": 11135 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 11136 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.52, + "step": 11137 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 11138 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 11139 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 11140 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.417, + "step": 11141 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.2921, + "step": 11142 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3255, + "step": 11143 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3166, + "step": 11144 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 11145 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 11146 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 11147 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3469, + "step": 11148 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4897, + "step": 11149 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 11150 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.335, + "step": 11151 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 11152 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 11153 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.3504, + "step": 11154 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4566, + "step": 11155 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 11156 + }, + { + "epoch": 1.23, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 11157 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 11158 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4622, + "step": 11159 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 11160 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 11161 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 11162 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4844, + "step": 11163 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 11164 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 11165 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 11166 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 11167 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3848, + "step": 11168 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 11169 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 11170 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 11171 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 11172 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 11173 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 11174 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 11175 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 11176 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 11177 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 11178 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 11179 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 11180 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 11181 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 11182 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 11183 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 11184 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.334, + "step": 11185 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 11186 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.399, + "step": 11187 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 11188 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 11189 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 11190 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 11191 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 11192 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 11193 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 11194 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 11195 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.398, + "step": 11196 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 11197 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4836, + "step": 11198 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3187, + "step": 11199 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 11200 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 11201 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 11202 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 11203 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 11204 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4476, + "step": 11205 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 11206 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3582, + "step": 11207 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4719, + "step": 11208 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 11209 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 11210 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 11211 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 11212 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.456, + "step": 11213 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 11214 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 11215 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4355, + "step": 11216 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4167, + "step": 11217 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 11218 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3097, + "step": 11219 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 11220 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 11221 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 11222 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 11223 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 11224 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 11225 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 11226 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 11227 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 11228 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 11229 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 11230 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 11231 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 11232 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 11233 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4443, + "step": 11234 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 11235 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 11236 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 11237 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 11238 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 11239 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 11240 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 11241 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 11242 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3403, + "step": 11243 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3423, + "step": 11244 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3136, + "step": 11245 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 11246 + }, + { + "epoch": 1.24, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 11247 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 11248 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 11249 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 11250 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4528, + "step": 11251 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 11252 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4321, + "step": 11253 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 11254 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 11255 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 11256 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 11257 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 11258 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3568, + "step": 11259 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 11260 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 11261 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4163, + "step": 11262 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 11263 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 11264 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 11265 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4889, + "step": 11266 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 11267 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 11268 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 11269 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 11270 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 11271 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 11272 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 11273 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 11274 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3407, + "step": 11275 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 11276 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3568, + "step": 11277 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 11278 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 11279 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 11280 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 11281 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3345, + "step": 11282 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 11283 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 11284 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3253, + "step": 11285 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 11286 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 11287 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 11288 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 11289 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3689, + "step": 11290 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 11291 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3283, + "step": 11292 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4506, + "step": 11293 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 11294 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4822, + "step": 11295 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 11296 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4113, + "step": 11297 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.446, + "step": 11298 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 11299 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 11300 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 11301 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 11302 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 11303 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 11304 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 11305 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 11306 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.359, + "step": 11307 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.31, + "step": 11308 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 11309 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 11310 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 11311 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 11312 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 11313 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 11314 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4189, + "step": 11315 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 11316 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 11317 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 11318 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 11319 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 11320 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 11321 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 11322 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 11323 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4499, + "step": 11324 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3152, + "step": 11325 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 11326 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 11327 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 11328 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 11329 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 11330 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3179, + "step": 11331 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 11332 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 11333 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 11334 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 11335 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 11336 + }, + { + "epoch": 1.25, + "learning_rate": 2e-05, + "loss": 0.4301, + "step": 11337 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 11338 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 11339 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 11340 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 11341 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 11342 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 11343 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 11344 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 11345 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 11346 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 11347 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 11348 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 11349 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 11350 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 11351 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3258, + "step": 11352 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 11353 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 11354 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3271, + "step": 11355 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 11356 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3153, + "step": 11357 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 11358 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 11359 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 11360 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 11361 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3617, + "step": 11362 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4371, + "step": 11363 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 11364 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 11365 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 11366 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 11367 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 11368 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 11369 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4238, + "step": 11370 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 11371 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 11372 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4701, + "step": 11373 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4176, + "step": 11374 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 11375 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3364, + "step": 11376 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 11377 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 11378 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 11379 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3188, + "step": 11380 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 11381 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3616, + "step": 11382 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 11383 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4229, + "step": 11384 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3279, + "step": 11385 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 11386 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 11387 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 11388 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 11389 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 11390 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 11391 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 11392 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 11393 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 11394 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 11395 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 11396 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 11397 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 11398 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 11399 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 11400 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 11401 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 11402 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 11403 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 11404 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3237, + "step": 11405 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 11406 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 11407 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 11408 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4932, + "step": 11409 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 11410 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 11411 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.469, + "step": 11412 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 11413 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 11414 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3269, + "step": 11415 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 11416 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3699, + "step": 11417 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 11418 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 11419 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 11420 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 11421 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 11422 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 11423 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 11424 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4513, + "step": 11425 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 11426 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 11427 + }, + { + "epoch": 1.26, + "learning_rate": 2e-05, + "loss": 0.3016, + "step": 11428 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 11429 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.5215, + "step": 11430 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 11431 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 11432 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 11433 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3599, + "step": 11434 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 11435 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4236, + "step": 11436 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3604, + "step": 11437 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.412, + "step": 11438 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3499, + "step": 11439 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3408, + "step": 11440 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 11441 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4595, + "step": 11442 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.292, + "step": 11443 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 11444 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 11445 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3277, + "step": 11446 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 11447 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 11448 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 11449 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4464, + "step": 11450 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 11451 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 11452 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 11453 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 11454 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4446, + "step": 11455 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 11456 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 11457 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4697, + "step": 11458 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 11459 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 11460 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 11461 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3358, + "step": 11462 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 11463 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 11464 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 11465 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4203, + "step": 11466 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 11467 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 11468 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 11469 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 11470 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3984, + "step": 11471 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 11472 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4656, + "step": 11473 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 11474 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 11475 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 11476 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 11477 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 11478 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3376, + "step": 11479 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4551, + "step": 11480 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 11481 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 11482 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 11483 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 11484 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 11485 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3371, + "step": 11486 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 11487 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3814, + "step": 11488 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 11489 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 11490 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 11491 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 11492 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 11493 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 11494 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 11495 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 11496 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 11497 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 11498 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 11499 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 11500 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 11501 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 11502 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 11503 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 11504 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 11505 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 11506 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3119, + "step": 11507 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 11508 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 11509 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3347, + "step": 11510 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 11511 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3199, + "step": 11512 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 11513 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 11514 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 11515 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 11516 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 11517 + }, + { + "epoch": 1.27, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 11518 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 11519 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 11520 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 11521 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 11522 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 11523 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.398, + "step": 11524 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 11525 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 11526 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 11527 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 11528 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 11529 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 11530 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 11531 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 11532 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4591, + "step": 11533 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3407, + "step": 11534 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 11535 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 11536 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3196, + "step": 11537 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 11538 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 11539 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 11540 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 11541 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3173, + "step": 11542 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 11543 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 11544 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4253, + "step": 11545 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 11546 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 11547 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3202, + "step": 11548 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 11549 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 11550 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3237, + "step": 11551 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.34, + "step": 11552 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 11553 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 11554 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 11555 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 11556 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3402, + "step": 11557 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4419, + "step": 11558 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 11559 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3126, + "step": 11560 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3339, + "step": 11561 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4457, + "step": 11562 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 11563 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3405, + "step": 11564 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3645, + "step": 11565 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 11566 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 11567 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 11568 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 11569 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 11570 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3698, + "step": 11571 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 11572 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 11573 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 11574 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3251, + "step": 11575 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3144, + "step": 11576 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4864, + "step": 11577 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 11578 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3523, + "step": 11579 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 11580 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3244, + "step": 11581 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 11582 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 11583 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 11584 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 11585 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 11586 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 11587 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 11588 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.441, + "step": 11589 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 11590 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 11591 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 11592 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 11593 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 11594 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3877, + "step": 11595 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4085, + "step": 11596 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 11597 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 11598 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3476, + "step": 11599 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 11600 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4463, + "step": 11601 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 11602 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3365, + "step": 11603 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 11604 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 11605 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4439, + "step": 11606 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 11607 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4587, + "step": 11608 + }, + { + "epoch": 1.28, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 11609 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 11610 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4821, + "step": 11611 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 11612 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 11613 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 11614 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 11615 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 11616 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 11617 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 11618 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 11619 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 11620 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 11621 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 11622 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 11623 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 11624 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 11625 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 11626 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 11627 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 11628 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 11629 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 11630 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 11631 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4316, + "step": 11632 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 11633 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4391, + "step": 11634 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 11635 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 11636 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 11637 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 11638 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.361, + "step": 11639 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 11640 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.398, + "step": 11641 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 11642 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 11643 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 11644 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4328, + "step": 11645 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 11646 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4316, + "step": 11647 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 11648 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 11649 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 11650 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 11651 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3431, + "step": 11652 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 11653 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 11654 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 11655 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4732, + "step": 11656 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 11657 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4666, + "step": 11658 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3565, + "step": 11659 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 11660 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4463, + "step": 11661 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 11662 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 11663 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.5087, + "step": 11664 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 11665 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 11666 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 11667 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3273, + "step": 11668 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 11669 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 11670 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 11671 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 11672 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 11673 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 11674 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.5382, + "step": 11675 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 11676 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3219, + "step": 11677 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 11678 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 11679 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 11680 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 11681 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 11682 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 11683 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.5249, + "step": 11684 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 11685 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3359, + "step": 11686 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 11687 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 11688 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 11689 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 11690 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 11691 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 11692 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 11693 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 11694 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 11695 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 11696 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 11697 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 11698 + }, + { + "epoch": 1.29, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 11699 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3232, + "step": 11700 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3333, + "step": 11701 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 11702 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 11703 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 11704 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 11705 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 11706 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 11707 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 11708 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3511, + "step": 11709 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 11710 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 11711 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 11712 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 11713 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 11714 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 11715 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 11716 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 11717 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 11718 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 11719 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 11720 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 11721 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4207, + "step": 11722 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 11723 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 11724 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3946, + "step": 11725 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 11726 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 11727 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3446, + "step": 11728 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4694, + "step": 11729 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 11730 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 11731 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 11732 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 11733 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 11734 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3565, + "step": 11735 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 11736 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4193, + "step": 11737 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.5032, + "step": 11738 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 11739 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3907, + "step": 11740 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 11741 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 11742 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.347, + "step": 11743 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 11744 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 11745 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 11746 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 11747 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4684, + "step": 11748 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 11749 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 11750 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 11751 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 11752 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3426, + "step": 11753 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4547, + "step": 11754 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 11755 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 11756 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 11757 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 11758 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 11759 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.412, + "step": 11760 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 11761 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 11762 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 11763 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 11764 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 11765 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 11766 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 11767 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 11768 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 11769 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3285, + "step": 11770 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 11771 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 11772 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4278, + "step": 11773 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 11774 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 11775 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 11776 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 11777 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 11778 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 11779 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 11780 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 11781 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 11782 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 11783 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4335, + "step": 11784 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 11785 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 11786 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 11787 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 11788 + }, + { + "epoch": 1.3, + "learning_rate": 2e-05, + "loss": 0.3283, + "step": 11789 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 11790 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3438, + "step": 11791 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 11792 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 11793 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 11794 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 11795 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3541, + "step": 11796 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3484, + "step": 11797 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3048, + "step": 11798 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 11799 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 11800 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 11801 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 11802 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 11803 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 11804 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.443, + "step": 11805 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 11806 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.405, + "step": 11807 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3523, + "step": 11808 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 11809 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 11810 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 11811 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3441, + "step": 11812 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 11813 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 11814 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4277, + "step": 11815 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 11816 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3371, + "step": 11817 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4993, + "step": 11818 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 11819 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4441, + "step": 11820 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4153, + "step": 11821 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 11822 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3128, + "step": 11823 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3877, + "step": 11824 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4781, + "step": 11825 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4006, + "step": 11826 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 11827 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 11828 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3485, + "step": 11829 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 11830 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 11831 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 11832 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 11833 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 11834 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3418, + "step": 11835 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 11836 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4975, + "step": 11837 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 11838 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3259, + "step": 11839 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 11840 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 11841 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3411, + "step": 11842 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 11843 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 11844 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3408, + "step": 11845 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 11846 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 11847 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3366, + "step": 11848 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 11849 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 11850 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 11851 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 11852 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 11853 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3307, + "step": 11854 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 11855 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 11856 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4976, + "step": 11857 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 11858 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 11859 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 11860 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 11861 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4116, + "step": 11862 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 11863 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 11864 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4344, + "step": 11865 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4465, + "step": 11866 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4055, + "step": 11867 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4639, + "step": 11868 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 11869 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3242, + "step": 11870 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 11871 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 11872 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4236, + "step": 11873 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 11874 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4285, + "step": 11875 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.346, + "step": 11876 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 11877 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 11878 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 11879 + }, + { + "epoch": 1.31, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 11880 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 11881 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4777, + "step": 11882 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 11883 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 11884 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3569, + "step": 11885 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 11886 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 11887 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.44, + "step": 11888 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4744, + "step": 11889 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 11890 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4895, + "step": 11891 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 11892 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 11893 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4809, + "step": 11894 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 11895 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 11896 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4185, + "step": 11897 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 11898 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 11899 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4228, + "step": 11900 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 11901 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 11902 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 11903 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 11904 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 11905 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 11906 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 11907 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 11908 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 11909 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.322, + "step": 11910 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 11911 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.463, + "step": 11912 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3769, + "step": 11913 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 11914 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3256, + "step": 11915 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 11916 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 11917 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 11918 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 11919 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 11920 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 11921 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 11922 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.5169, + "step": 11923 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 11924 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 11925 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 11926 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 11927 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 11928 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 11929 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 11930 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 11931 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 11932 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 11933 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3924, + "step": 11934 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3541, + "step": 11935 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 11936 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 11937 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 11938 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 11939 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 11940 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 11941 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 11942 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3322, + "step": 11943 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 11944 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4278, + "step": 11945 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3229, + "step": 11946 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3278, + "step": 11947 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 11948 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4082, + "step": 11949 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 11950 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 11951 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4258, + "step": 11952 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 11953 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 11954 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3484, + "step": 11955 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 11956 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3689, + "step": 11957 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 11958 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 11959 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3133, + "step": 11960 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 11961 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 11962 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 11963 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 11964 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3219, + "step": 11965 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 11966 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 11967 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3436, + "step": 11968 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 11969 + }, + { + "epoch": 1.32, + "learning_rate": 2e-05, + "loss": 0.4207, + "step": 11970 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 11971 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 11972 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 11973 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 11974 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 11975 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 11976 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 11977 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 11978 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 11979 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4189, + "step": 11980 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 11981 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 11982 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3622, + "step": 11983 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 11984 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 11985 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 11986 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 11987 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 11988 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 11989 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3641, + "step": 11990 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 11991 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 11992 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.322, + "step": 11993 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 11994 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 11995 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 11996 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 11997 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4756, + "step": 11998 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3485, + "step": 11999 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4643, + "step": 12000 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 12001 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 12002 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 12003 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 12004 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 12005 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 12006 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 12007 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 12008 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 12009 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 12010 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4318, + "step": 12011 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4196, + "step": 12012 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4319, + "step": 12013 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 12014 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 12015 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 12016 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3175, + "step": 12017 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.361, + "step": 12018 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4323, + "step": 12019 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.5359, + "step": 12020 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3225, + "step": 12021 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 12022 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3478, + "step": 12023 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 12024 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 12025 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4054, + "step": 12026 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3289, + "step": 12027 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4426, + "step": 12028 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 12029 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 12030 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 12031 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 12032 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3324, + "step": 12033 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4569, + "step": 12034 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 12035 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 12036 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 12037 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 12038 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4302, + "step": 12039 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 12040 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 12041 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3397, + "step": 12042 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 12043 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3373, + "step": 12044 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 12045 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.361, + "step": 12046 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 12047 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4675, + "step": 12048 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 12049 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 12050 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 12051 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 12052 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4455, + "step": 12053 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4426, + "step": 12054 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 12055 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 12056 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 12057 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3697, + "step": 12058 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 12059 + }, + { + "epoch": 1.33, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 12060 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4506, + "step": 12061 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 12062 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 12063 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 12064 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 12065 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 12066 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 12067 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3491, + "step": 12068 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 12069 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.322, + "step": 12070 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 12071 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 12072 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 12073 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 12074 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 12075 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 12076 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 12077 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 12078 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 12079 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3935, + "step": 12080 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 12081 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 12082 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4923, + "step": 12083 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 12084 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 12085 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 12086 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 12087 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 12088 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 12089 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 12090 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3638, + "step": 12091 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 12092 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 12093 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 12094 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 12095 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.5376, + "step": 12096 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 12097 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 12098 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 12099 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 12100 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 12101 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 12102 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 12103 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 12104 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 12105 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 12106 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 12107 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3191, + "step": 12108 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3388, + "step": 12109 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 12110 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 12111 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 12112 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3493, + "step": 12113 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 12114 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3605, + "step": 12115 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3946, + "step": 12116 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 12117 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 12118 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 12119 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.5281, + "step": 12120 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 12121 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3946, + "step": 12122 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 12123 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 12124 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4513, + "step": 12125 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 12126 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 12127 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 12128 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 12129 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 12130 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.5011, + "step": 12131 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3235, + "step": 12132 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 12133 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 12134 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 12135 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 12136 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4335, + "step": 12137 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 12138 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 12139 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 12140 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 12141 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.5353, + "step": 12142 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 12143 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3416, + "step": 12144 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 12145 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 12146 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 12147 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4587, + "step": 12148 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 12149 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.342, + "step": 12150 + }, + { + "epoch": 1.34, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 12151 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4434, + "step": 12152 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 12153 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 12154 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 12155 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4461, + "step": 12156 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 12157 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 12158 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4049, + "step": 12159 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 12160 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4535, + "step": 12161 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 12162 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 12163 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 12164 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 12165 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 12166 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3564, + "step": 12167 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.438, + "step": 12168 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 12169 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 12170 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 12171 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 12172 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 12173 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3209, + "step": 12174 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 12175 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 12176 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 12177 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.334, + "step": 12178 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 12179 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4919, + "step": 12180 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 12181 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 12182 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 12183 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3041, + "step": 12184 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3976, + "step": 12185 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 12186 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 12187 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 12188 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3293, + "step": 12189 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 12190 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3478, + "step": 12191 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 12192 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 12193 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 12194 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 12195 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 12196 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 12197 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 12198 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 12199 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 12200 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 12201 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 12202 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3421, + "step": 12203 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 12204 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 12205 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 12206 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 12207 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4482, + "step": 12208 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 12209 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 12210 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 12211 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 12212 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 12213 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 12214 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3489, + "step": 12215 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.426, + "step": 12216 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 12217 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4509, + "step": 12218 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 12219 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 12220 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 12221 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 12222 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 12223 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3787, + "step": 12224 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 12225 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 12226 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 12227 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 12228 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.355, + "step": 12229 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3548, + "step": 12230 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3465, + "step": 12231 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 12232 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 12233 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3112, + "step": 12234 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 12235 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 12236 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 12237 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 12238 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 12239 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 12240 + }, + { + "epoch": 1.35, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 12241 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 12242 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 12243 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3292, + "step": 12244 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 12245 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4254, + "step": 12246 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4251, + "step": 12247 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 12248 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 12249 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 12250 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 12251 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 12252 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 12253 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 12254 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 12255 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 12256 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 12257 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 12258 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 12259 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3296, + "step": 12260 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 12261 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 12262 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4547, + "step": 12263 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 12264 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3382, + "step": 12265 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 12266 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 12267 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 12268 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 12269 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 12270 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 12271 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 12272 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 12273 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 12274 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.337, + "step": 12275 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4788, + "step": 12276 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3215, + "step": 12277 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3499, + "step": 12278 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 12279 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 12280 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3627, + "step": 12281 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4454, + "step": 12282 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3214, + "step": 12283 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4494, + "step": 12284 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4346, + "step": 12285 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3342, + "step": 12286 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 12287 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 12288 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 12289 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 12290 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 12291 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 12292 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 12293 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 12294 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 12295 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3371, + "step": 12296 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3221, + "step": 12297 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 12298 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 12299 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 12300 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 12301 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 12302 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 12303 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 12304 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4454, + "step": 12305 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.342, + "step": 12306 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 12307 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 12308 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 12309 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 12310 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 12311 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 12312 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 12313 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 12314 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 12315 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 12316 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 12317 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3764, + "step": 12318 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3431, + "step": 12319 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 12320 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 12321 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 12322 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3606, + "step": 12323 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 12324 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 12325 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3476, + "step": 12326 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 12327 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 12328 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 12329 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.4236, + "step": 12330 + }, + { + "epoch": 1.36, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 12331 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 12332 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 12333 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 12334 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4574, + "step": 12335 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3453, + "step": 12336 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 12337 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 12338 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 12339 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 12340 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3547, + "step": 12341 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3346, + "step": 12342 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.448, + "step": 12343 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 12344 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3191, + "step": 12345 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 12346 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 12347 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3504, + "step": 12348 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 12349 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 12350 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 12351 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 12352 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 12353 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 12354 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 12355 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4349, + "step": 12356 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 12357 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 12358 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 12359 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4833, + "step": 12360 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 12361 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 12362 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.334, + "step": 12363 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 12364 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 12365 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4251, + "step": 12366 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 12367 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3805, + "step": 12368 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3354, + "step": 12369 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 12370 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 12371 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3385, + "step": 12372 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4396, + "step": 12373 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 12374 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.435, + "step": 12375 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4443, + "step": 12376 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 12377 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 12378 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 12379 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 12380 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 12381 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4959, + "step": 12382 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 12383 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 12384 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 12385 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 12386 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4846, + "step": 12387 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 12388 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 12389 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 12390 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 12391 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4646, + "step": 12392 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3319, + "step": 12393 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 12394 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4495, + "step": 12395 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3053, + "step": 12396 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 12397 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 12398 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 12399 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 12400 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 12401 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4612, + "step": 12402 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 12403 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 12404 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4407, + "step": 12405 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 12406 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 12407 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 12408 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4314, + "step": 12409 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 12410 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3294, + "step": 12411 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 12412 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4634, + "step": 12413 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 12414 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 12415 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 12416 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4258, + "step": 12417 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 12418 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 12419 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 12420 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 12421 + }, + { + "epoch": 1.37, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 12422 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 12423 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4218, + "step": 12424 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 12425 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 12426 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 12427 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.306, + "step": 12428 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 12429 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 12430 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 12431 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 12432 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3957, + "step": 12433 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 12434 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 12435 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 12436 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.35, + "step": 12437 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3348, + "step": 12438 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 12439 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3609, + "step": 12440 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4215, + "step": 12441 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 12442 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 12443 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 12444 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 12445 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 12446 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 12447 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 12448 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 12449 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 12450 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4162, + "step": 12451 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 12452 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3603, + "step": 12453 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 12454 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 12455 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3097, + "step": 12456 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 12457 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4377, + "step": 12458 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3177, + "step": 12459 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.482, + "step": 12460 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.6108, + "step": 12461 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 12462 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 12463 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3464, + "step": 12464 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 12465 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 12466 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 12467 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 12468 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3275, + "step": 12469 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 12470 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 12471 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 12472 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.435, + "step": 12473 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4406, + "step": 12474 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 12475 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4653, + "step": 12476 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 12477 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 12478 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 12479 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.443, + "step": 12480 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3419, + "step": 12481 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 12482 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 12483 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 12484 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 12485 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4525, + "step": 12486 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 12487 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 12488 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4403, + "step": 12489 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 12490 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 12491 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 12492 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 12493 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3279, + "step": 12494 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4586, + "step": 12495 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3196, + "step": 12496 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 12497 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 12498 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 12499 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4452, + "step": 12500 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 12501 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3156, + "step": 12502 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 12503 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 12504 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 12505 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 12506 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4368, + "step": 12507 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3285, + "step": 12508 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3385, + "step": 12509 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 12510 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.3764, + "step": 12511 + }, + { + "epoch": 1.38, + "learning_rate": 2e-05, + "loss": 0.4447, + "step": 12512 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 12513 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4416, + "step": 12514 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 12515 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3313, + "step": 12516 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3549, + "step": 12517 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 12518 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 12519 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 12520 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 12521 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 12522 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 12523 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 12524 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4365, + "step": 12525 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3222, + "step": 12526 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.338, + "step": 12527 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 12528 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 12529 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 12530 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4185, + "step": 12531 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4475, + "step": 12532 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 12533 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 12534 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3296, + "step": 12535 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3427, + "step": 12536 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3444, + "step": 12537 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4656, + "step": 12538 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 12539 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 12540 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 12541 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 12542 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 12543 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3993, + "step": 12544 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4608, + "step": 12545 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 12546 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 12547 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 12548 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 12549 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 12550 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4084, + "step": 12551 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 12552 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4447, + "step": 12553 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4853, + "step": 12554 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 12555 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 12556 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4163, + "step": 12557 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 12558 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3836, + "step": 12559 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 12560 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 12561 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 12562 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 12563 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 12564 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 12565 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 12566 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 12567 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3096, + "step": 12568 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3777, + "step": 12569 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3788, + "step": 12570 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 12571 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 12572 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 12573 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 12574 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 12575 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3651, + "step": 12576 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 12577 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 12578 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 12579 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4427, + "step": 12580 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 12581 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 12582 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3428, + "step": 12583 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 12584 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 12585 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 12586 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 12587 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 12588 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 12589 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 12590 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.325, + "step": 12591 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4528, + "step": 12592 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.442, + "step": 12593 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 12594 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.315, + "step": 12595 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4585, + "step": 12596 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4544, + "step": 12597 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 12598 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 12599 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 12600 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 12601 + }, + { + "epoch": 1.39, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 12602 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 12603 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 12604 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4508, + "step": 12605 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.2963, + "step": 12606 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 12607 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 12608 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 12609 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 12610 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4824, + "step": 12611 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4585, + "step": 12612 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 12613 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4116, + "step": 12614 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 12615 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 12616 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 12617 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 12618 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 12619 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 12620 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 12621 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 12622 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 12623 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 12624 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 12625 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3191, + "step": 12626 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 12627 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 12628 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 12629 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 12630 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 12631 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3645, + "step": 12632 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 12633 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 12634 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 12635 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3229, + "step": 12636 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 12637 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 12638 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 12639 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 12640 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 12641 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 12642 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3328, + "step": 12643 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.398, + "step": 12644 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3439, + "step": 12645 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 12646 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 12647 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 12648 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 12649 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 12650 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4654, + "step": 12651 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 12652 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 12653 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3355, + "step": 12654 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 12655 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4454, + "step": 12656 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 12657 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 12658 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 12659 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 12660 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 12661 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 12662 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4603, + "step": 12663 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3606, + "step": 12664 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 12665 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 12666 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 12667 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 12668 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 12669 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 12670 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 12671 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 12672 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3549, + "step": 12673 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4535, + "step": 12674 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 12675 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 12676 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 12677 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 12678 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 12679 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 12680 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 12681 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 12682 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 12683 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3284, + "step": 12684 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 12685 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 12686 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 12687 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 12688 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 12689 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.3051, + "step": 12690 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4731, + "step": 12691 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 12692 + }, + { + "epoch": 1.4, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 12693 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 12694 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 12695 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 12696 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 12697 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 12698 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3518, + "step": 12699 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 12700 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.453, + "step": 12701 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 12702 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.5008, + "step": 12703 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 12704 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4085, + "step": 12705 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 12706 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 12707 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 12708 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.486, + "step": 12709 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.5332, + "step": 12710 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4705, + "step": 12711 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 12712 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 12713 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 12714 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 12715 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 12716 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 12717 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 12718 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 12719 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 12720 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3954, + "step": 12721 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 12722 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 12723 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3548, + "step": 12724 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 12725 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 12726 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 12727 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4461, + "step": 12728 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 12729 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 12730 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 12731 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 12732 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 12733 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3239, + "step": 12734 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4423, + "step": 12735 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 12736 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3431, + "step": 12737 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.361, + "step": 12738 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 12739 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 12740 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 12741 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 12742 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 12743 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3393, + "step": 12744 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 12745 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 12746 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 12747 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4203, + "step": 12748 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 12749 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 12750 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3441, + "step": 12751 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 12752 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 12753 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 12754 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4395, + "step": 12755 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 12756 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 12757 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3622, + "step": 12758 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 12759 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 12760 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 12761 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 12762 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3481, + "step": 12763 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 12764 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4169, + "step": 12765 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 12766 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 12767 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.465, + "step": 12768 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3199, + "step": 12769 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4334, + "step": 12770 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 12771 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 12772 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 12773 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4669, + "step": 12774 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 12775 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 12776 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 12777 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 12778 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 12779 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 12780 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 12781 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 12782 + }, + { + "epoch": 1.41, + "learning_rate": 2e-05, + "loss": 0.3347, + "step": 12783 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.32, + "step": 12784 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 12785 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 12786 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 12787 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 12788 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 12789 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 12790 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 12791 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.325, + "step": 12792 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 12793 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 12794 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 12795 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 12796 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 12797 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 12798 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 12799 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 12800 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 12801 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 12802 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 12803 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 12804 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 12805 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 12806 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 12807 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 12808 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 12809 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4511, + "step": 12810 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 12811 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 12812 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 12813 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 12814 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 12815 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 12816 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 12817 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4668, + "step": 12818 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 12819 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3699, + "step": 12820 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 12821 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 12822 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3293, + "step": 12823 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4181, + "step": 12824 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3697, + "step": 12825 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 12826 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 12827 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 12828 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 12829 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 12830 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 12831 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 12832 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 12833 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 12834 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 12835 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 12836 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 12837 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 12838 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 12839 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 12840 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 12841 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 12842 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 12843 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 12844 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3596, + "step": 12845 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 12846 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 12847 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3221, + "step": 12848 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 12849 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 12850 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 12851 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 12852 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 12853 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 12854 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.366, + "step": 12855 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 12856 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 12857 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 12858 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 12859 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 12860 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 12861 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 12862 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 12863 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 12864 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 12865 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 12866 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 12867 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 12868 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4636, + "step": 12869 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.3345, + "step": 12870 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 12871 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 12872 + }, + { + "epoch": 1.42, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 12873 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4596, + "step": 12874 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4203, + "step": 12875 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 12876 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4701, + "step": 12877 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 12878 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3449, + "step": 12879 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 12880 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 12881 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 12882 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.2964, + "step": 12883 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 12884 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3616, + "step": 12885 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 12886 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 12887 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 12888 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 12889 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 12890 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 12891 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 12892 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 12893 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4558, + "step": 12894 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 12895 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3275, + "step": 12896 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 12897 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 12898 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 12899 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 12900 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 12901 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 12902 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 12903 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4525, + "step": 12904 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 12905 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4795, + "step": 12906 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 12907 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4344, + "step": 12908 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 12909 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 12910 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3166, + "step": 12911 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 12912 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4351, + "step": 12913 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4394, + "step": 12914 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4236, + "step": 12915 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 12916 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 12917 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 12918 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 12919 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 12920 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 12921 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3369, + "step": 12922 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3622, + "step": 12923 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 12924 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4626, + "step": 12925 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3392, + "step": 12926 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3095, + "step": 12927 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4575, + "step": 12928 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 12929 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4298, + "step": 12930 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 12931 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 12932 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 12933 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 12934 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 12935 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4689, + "step": 12936 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 12937 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 12938 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 12939 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 12940 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 12941 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 12942 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 12943 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 12944 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4218, + "step": 12945 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 12946 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.372, + "step": 12947 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 12948 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3349, + "step": 12949 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 12950 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 12951 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 12952 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 12953 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 12954 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 12955 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 12956 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 12957 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 12958 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 12959 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 12960 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 12961 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 12962 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 12963 + }, + { + "epoch": 1.43, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 12964 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.417, + "step": 12965 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.5187, + "step": 12966 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 12967 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3641, + "step": 12968 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.505, + "step": 12969 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3726, + "step": 12970 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 12971 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 12972 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 12973 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3169, + "step": 12974 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 12975 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 12976 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 12977 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4983, + "step": 12978 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 12979 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 12980 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 12981 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 12982 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 12983 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 12984 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4576, + "step": 12985 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4151, + "step": 12986 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3555, + "step": 12987 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.341, + "step": 12988 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4463, + "step": 12989 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 12990 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 12991 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3399, + "step": 12992 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 12993 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 12994 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.427, + "step": 12995 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 12996 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.5033, + "step": 12997 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3326, + "step": 12998 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.329, + "step": 12999 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 13000 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3603, + "step": 13001 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 13002 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.5096, + "step": 13003 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 13004 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 13005 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 13006 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3344, + "step": 13007 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 13008 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 13009 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 13010 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 13011 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 13012 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 13013 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 13014 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3372, + "step": 13015 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 13016 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3309, + "step": 13017 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 13018 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 13019 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 13020 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 13021 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 13022 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 13023 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 13024 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 13025 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 13026 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 13027 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 13028 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 13029 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 13030 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 13031 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 13032 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 13033 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 13034 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 13035 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4807, + "step": 13036 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 13037 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3337, + "step": 13038 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 13039 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 13040 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 13041 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4399, + "step": 13042 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 13043 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4459, + "step": 13044 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4402, + "step": 13045 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 13046 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 13047 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 13048 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 13049 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 13050 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 13051 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 13052 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.3401, + "step": 13053 + }, + { + "epoch": 1.44, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 13054 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 13055 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3596, + "step": 13056 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3254, + "step": 13057 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3696, + "step": 13058 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 13059 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 13060 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 13061 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 13062 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 13063 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 13064 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 13065 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 13066 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4686, + "step": 13067 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 13068 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 13069 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 13070 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 13071 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3453, + "step": 13072 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 13073 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3886, + "step": 13074 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3377, + "step": 13075 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 13076 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 13077 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4485, + "step": 13078 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3472, + "step": 13079 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 13080 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 13081 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 13082 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 13083 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4685, + "step": 13084 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 13085 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 13086 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 13087 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 13088 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 13089 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 13090 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4538, + "step": 13091 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4609, + "step": 13092 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 13093 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4314, + "step": 13094 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 13095 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 13096 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 13097 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 13098 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 13099 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.365, + "step": 13100 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 13101 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 13102 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 13103 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 13104 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 13105 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 13106 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 13107 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3218, + "step": 13108 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 13109 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3366, + "step": 13110 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 13111 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 13112 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 13113 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4688, + "step": 13114 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 13115 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 13116 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 13117 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 13118 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 13119 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 13120 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.332, + "step": 13121 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 13122 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 13123 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3359, + "step": 13124 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 13125 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4767, + "step": 13126 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 13127 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 13128 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 13129 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 13130 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 13131 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 13132 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 13133 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 13134 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3213, + "step": 13135 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 13136 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 13137 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 13138 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 13139 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 13140 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.3337, + "step": 13141 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 13142 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 13143 + }, + { + "epoch": 1.45, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 13144 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 13145 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 13146 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 13147 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 13148 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 13149 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.453, + "step": 13150 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 13151 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4292, + "step": 13152 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 13153 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 13154 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 13155 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 13156 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 13157 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 13158 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 13159 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 13160 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 13161 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 13162 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3469, + "step": 13163 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4576, + "step": 13164 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 13165 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 13166 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 13167 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 13168 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 13169 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4142, + "step": 13170 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4149, + "step": 13171 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 13172 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 13173 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 13174 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 13175 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 13176 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 13177 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 13178 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 13179 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 13180 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 13181 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 13182 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.338, + "step": 13183 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.45, + "step": 13184 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 13185 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 13186 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 13187 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 13188 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 13189 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 13190 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4407, + "step": 13191 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 13192 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 13193 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3762, + "step": 13194 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 13195 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 13196 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 13197 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 13198 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 13199 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 13200 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 13201 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 13202 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 13203 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 13204 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4348, + "step": 13205 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 13206 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 13207 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 13208 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 13209 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 13210 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4439, + "step": 13211 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 13212 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4477, + "step": 13213 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3263, + "step": 13214 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 13215 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 13216 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4404, + "step": 13217 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 13218 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4203, + "step": 13219 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 13220 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3664, + "step": 13221 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 13222 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 13223 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 13224 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 13225 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 13226 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 13227 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.441, + "step": 13228 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 13229 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 13230 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 13231 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 13232 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 13233 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4603, + "step": 13234 + }, + { + "epoch": 1.46, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 13235 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4655, + "step": 13236 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 13237 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4865, + "step": 13238 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 13239 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 13240 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 13241 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3394, + "step": 13242 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 13243 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3446, + "step": 13244 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 13245 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 13246 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 13247 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 13248 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 13249 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 13250 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3401, + "step": 13251 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 13252 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 13253 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 13254 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 13255 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 13256 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3617, + "step": 13257 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 13258 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 13259 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 13260 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 13261 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 13262 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 13263 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4404, + "step": 13264 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 13265 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 13266 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 13267 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 13268 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 13269 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3398, + "step": 13270 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 13271 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 13272 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 13273 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 13274 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 13275 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.522, + "step": 13276 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 13277 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 13278 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 13279 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 13280 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 13281 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 13282 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 13283 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4609, + "step": 13284 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 13285 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 13286 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 13287 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3566, + "step": 13288 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 13289 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 13290 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 13291 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 13292 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3432, + "step": 13293 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 13294 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 13295 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 13296 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3428, + "step": 13297 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 13298 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.429, + "step": 13299 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 13300 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 13301 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 13302 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 13303 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 13304 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 13305 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4365, + "step": 13306 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.309, + "step": 13307 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 13308 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 13309 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 13310 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.479, + "step": 13311 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 13312 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.365, + "step": 13313 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 13314 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 13315 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 13316 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 13317 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.492, + "step": 13318 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 13319 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 13320 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 13321 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 13322 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 13323 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 13324 + }, + { + "epoch": 1.47, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 13325 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 13326 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 13327 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3346, + "step": 13328 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 13329 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 13330 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 13331 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 13332 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4727, + "step": 13333 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 13334 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 13335 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4565, + "step": 13336 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 13337 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3397, + "step": 13338 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 13339 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 13340 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 13341 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 13342 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3509, + "step": 13343 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 13344 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3381, + "step": 13345 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3331, + "step": 13346 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 13347 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 13348 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 13349 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 13350 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 13351 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 13352 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 13353 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 13354 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 13355 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 13356 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4451, + "step": 13357 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 13358 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.475, + "step": 13359 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3377, + "step": 13360 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 13361 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 13362 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.5266, + "step": 13363 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 13364 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 13365 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 13366 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4088, + "step": 13367 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4149, + "step": 13368 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4109, + "step": 13369 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 13370 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 13371 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 13372 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 13373 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3459, + "step": 13374 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 13375 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 13376 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 13377 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4558, + "step": 13378 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 13379 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 13380 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 13381 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 13382 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 13383 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3967, + "step": 13384 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 13385 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 13386 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 13387 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 13388 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 13389 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 13390 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 13391 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3886, + "step": 13392 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 13393 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 13394 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.435, + "step": 13395 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4497, + "step": 13396 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 13397 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 13398 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 13399 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 13400 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4731, + "step": 13401 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.5626, + "step": 13402 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 13403 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4499, + "step": 13404 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3992, + "step": 13405 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4334, + "step": 13406 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 13407 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4163, + "step": 13408 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 13409 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 13410 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 13411 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 13412 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 13413 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.348, + "step": 13414 + }, + { + "epoch": 1.48, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 13415 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4697, + "step": 13416 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 13417 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.359, + "step": 13418 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 13419 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 13420 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 13421 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 13422 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 13423 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 13424 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 13425 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 13426 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 13427 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 13428 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 13429 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 13430 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4894, + "step": 13431 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3444, + "step": 13432 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 13433 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 13434 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 13435 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 13436 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 13437 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 13438 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 13439 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.342, + "step": 13440 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4181, + "step": 13441 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 13442 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 13443 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 13444 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 13445 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 13446 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 13447 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4404, + "step": 13448 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4845, + "step": 13449 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 13450 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 13451 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 13452 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 13453 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3369, + "step": 13454 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 13455 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4346, + "step": 13456 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 13457 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 13458 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 13459 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 13460 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 13461 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 13462 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3217, + "step": 13463 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 13464 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 13465 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 13466 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 13467 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 13468 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 13469 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 13470 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 13471 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3198, + "step": 13472 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 13473 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 13474 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4671, + "step": 13475 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 13476 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 13477 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 13478 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 13479 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 13480 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 13481 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 13482 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 13483 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3491, + "step": 13484 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 13485 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 13486 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 13487 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 13488 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 13489 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3617, + "step": 13490 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 13491 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 13492 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 13493 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 13494 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 13495 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 13496 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3573, + "step": 13497 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 13498 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 13499 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 13500 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 13501 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 13502 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 13503 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3488, + "step": 13504 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 13505 + }, + { + "epoch": 1.49, + "learning_rate": 2e-05, + "loss": 0.4625, + "step": 13506 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.325, + "step": 13507 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 13508 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 13509 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3533, + "step": 13510 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 13511 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 13512 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 13513 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3289, + "step": 13514 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3276, + "step": 13515 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 13516 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3391, + "step": 13517 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4432, + "step": 13518 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 13519 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.449, + "step": 13520 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4491, + "step": 13521 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 13522 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 13523 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 13524 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 13525 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3182, + "step": 13526 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 13527 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 13528 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 13529 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 13530 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 13531 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4451, + "step": 13532 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 13533 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4414, + "step": 13534 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 13535 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 13536 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 13537 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 13538 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 13539 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 13540 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 13541 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.33, + "step": 13542 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3478, + "step": 13543 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 13544 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 13545 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 13546 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 13547 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 13548 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.477, + "step": 13549 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4596, + "step": 13550 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3907, + "step": 13551 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 13552 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4892, + "step": 13553 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3144, + "step": 13554 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 13555 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 13556 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 13557 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 13558 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 13559 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 13560 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 13561 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 13562 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 13563 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 13564 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 13565 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 13566 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 13567 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 13568 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4838, + "step": 13569 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 13570 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 13571 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 13572 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 13573 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 13574 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3988, + "step": 13575 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 13576 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 13577 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 13578 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3286, + "step": 13579 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4299, + "step": 13580 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4377, + "step": 13581 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4414, + "step": 13582 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 13583 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4181, + "step": 13584 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 13585 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 13586 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4516, + "step": 13587 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 13588 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 13589 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 13590 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 13591 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3265, + "step": 13592 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 13593 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 13594 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.4459, + "step": 13595 + }, + { + "epoch": 1.5, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 13596 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 13597 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 13598 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 13599 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4134, + "step": 13600 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 13601 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 13602 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 13603 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 13604 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 13605 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 13606 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 13607 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 13608 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 13609 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 13610 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 13611 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 13612 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 13613 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 13614 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 13615 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3468, + "step": 13616 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 13617 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 13618 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 13619 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.336, + "step": 13620 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.321, + "step": 13621 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 13622 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4965, + "step": 13623 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4664, + "step": 13624 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4441, + "step": 13625 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.5142, + "step": 13626 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 13627 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 13628 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 13629 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 13630 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 13631 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 13632 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 13633 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 13634 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 13635 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 13636 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3493, + "step": 13637 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 13638 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 13639 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 13640 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 13641 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 13642 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 13643 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 13644 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 13645 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 13646 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 13647 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3555, + "step": 13648 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4159, + "step": 13649 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 13650 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3103, + "step": 13651 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 13652 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 13653 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 13654 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4048, + "step": 13655 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 13656 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 13657 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 13658 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 13659 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4695, + "step": 13660 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 13661 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4349, + "step": 13662 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 13663 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 13664 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3579, + "step": 13665 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 13666 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 13667 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 13668 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 13669 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 13670 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.5152, + "step": 13671 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 13672 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3055, + "step": 13673 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 13674 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4648, + "step": 13675 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 13676 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 13677 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3532, + "step": 13678 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 13679 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 13680 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 13681 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 13682 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.2987, + "step": 13683 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4265, + "step": 13684 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 13685 + }, + { + "epoch": 1.51, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 13686 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 13687 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 13688 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 13689 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 13690 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4515, + "step": 13691 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4555, + "step": 13692 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 13693 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 13694 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 13695 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4523, + "step": 13696 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 13697 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 13698 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 13699 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 13700 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 13701 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 13702 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 13703 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 13704 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 13705 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 13706 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 13707 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 13708 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 13709 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 13710 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 13711 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.415, + "step": 13712 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 13713 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4371, + "step": 13714 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.313, + "step": 13715 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 13716 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 13717 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 13718 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4733, + "step": 13719 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4547, + "step": 13720 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 13721 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.333, + "step": 13722 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3762, + "step": 13723 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 13724 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 13725 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 13726 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 13727 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 13728 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 13729 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3638, + "step": 13730 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4142, + "step": 13731 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4464, + "step": 13732 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 13733 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 13734 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 13735 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 13736 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 13737 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 13738 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 13739 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4254, + "step": 13740 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 13741 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4782, + "step": 13742 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 13743 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 13744 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 13745 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 13746 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 13747 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 13748 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 13749 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 13750 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 13751 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 13752 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 13753 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 13754 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 13755 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.439, + "step": 13756 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 13757 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4138, + "step": 13758 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 13759 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 13760 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 13761 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 13762 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 13763 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 13764 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3213, + "step": 13765 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 13766 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 13767 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4251, + "step": 13768 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 13769 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 13770 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 13771 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 13772 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4473, + "step": 13773 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 13774 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 13775 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 13776 + }, + { + "epoch": 1.52, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 13777 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 13778 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4524, + "step": 13779 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 13780 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4398, + "step": 13781 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 13782 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 13783 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 13784 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.512, + "step": 13785 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 13786 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 13787 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 13788 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 13789 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 13790 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 13791 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4453, + "step": 13792 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 13793 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 13794 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 13795 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4739, + "step": 13796 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 13797 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.375, + "step": 13798 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4501, + "step": 13799 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 13800 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 13801 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4556, + "step": 13802 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 13803 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 13804 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4654, + "step": 13805 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 13806 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 13807 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 13808 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 13809 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 13810 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 13811 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3504, + "step": 13812 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 13813 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 13814 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 13815 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 13816 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 13817 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 13818 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4902, + "step": 13819 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 13820 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 13821 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 13822 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 13823 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3334, + "step": 13824 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 13825 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 13826 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 13827 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 13828 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 13829 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 13830 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.444, + "step": 13831 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 13832 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.2999, + "step": 13833 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 13834 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3312, + "step": 13835 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4391, + "step": 13836 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 13837 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 13838 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 13839 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 13840 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4143, + "step": 13841 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 13842 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 13843 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 13844 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 13845 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 13846 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 13847 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 13848 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 13849 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4913, + "step": 13850 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4153, + "step": 13851 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 13852 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3304, + "step": 13853 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 13854 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 13855 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3147, + "step": 13856 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 13857 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3848, + "step": 13858 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3717, + "step": 13859 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 13860 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 13861 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 13862 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 13863 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 13864 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 13865 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3475, + "step": 13866 + }, + { + "epoch": 1.53, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 13867 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 13868 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 13869 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 13870 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 13871 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 13872 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 13873 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.5067, + "step": 13874 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 13875 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4629, + "step": 13876 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 13877 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4032, + "step": 13878 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4844, + "step": 13879 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 13880 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4683, + "step": 13881 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 13882 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4316, + "step": 13883 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 13884 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 13885 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 13886 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 13887 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 13888 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 13889 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 13890 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 13891 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 13892 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 13893 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3532, + "step": 13894 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 13895 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4621, + "step": 13896 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4727, + "step": 13897 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 13898 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 13899 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 13900 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 13901 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4049, + "step": 13902 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 13903 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4409, + "step": 13904 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.5483, + "step": 13905 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 13906 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3186, + "step": 13907 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 13908 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3342, + "step": 13909 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3381, + "step": 13910 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 13911 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 13912 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 13913 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 13914 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 13915 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4399, + "step": 13916 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 13917 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 13918 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3137, + "step": 13919 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 13920 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 13921 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 13922 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 13923 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.437, + "step": 13924 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4834, + "step": 13925 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 13926 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 13927 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 13928 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.5107, + "step": 13929 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 13930 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4292, + "step": 13931 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 13932 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 13933 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3976, + "step": 13934 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 13935 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4454, + "step": 13936 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4731, + "step": 13937 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 13938 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 13939 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 13940 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 13941 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.342, + "step": 13942 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 13943 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 13944 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 13945 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.348, + "step": 13946 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 13947 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 13948 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 13949 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 13950 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4334, + "step": 13951 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 13952 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 13953 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3491, + "step": 13954 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 13955 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3067, + "step": 13956 + }, + { + "epoch": 1.54, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 13957 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 13958 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 13959 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 13960 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 13961 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 13962 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 13963 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 13964 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 13965 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 13966 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 13967 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 13968 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3104, + "step": 13969 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 13970 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4776, + "step": 13971 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3361, + "step": 13972 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4751, + "step": 13973 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 13974 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 13975 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 13976 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 13977 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 13978 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 13979 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4167, + "step": 13980 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3168, + "step": 13981 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3796, + "step": 13982 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 13983 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 13984 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 13985 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 13986 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.47, + "step": 13987 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 13988 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3896, + "step": 13989 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.2874, + "step": 13990 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 13991 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 13992 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 13993 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3437, + "step": 13994 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 13995 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3969, + "step": 13996 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 13997 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3199, + "step": 13998 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3258, + "step": 13999 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 14000 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 14001 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3465, + "step": 14002 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4481, + "step": 14003 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 14004 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3062, + "step": 14005 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 14006 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.547, + "step": 14007 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4602, + "step": 14008 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 14009 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3698, + "step": 14010 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 14011 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 14012 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4646, + "step": 14013 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 14014 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 14015 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.32, + "step": 14016 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 14017 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4712, + "step": 14018 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4323, + "step": 14019 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3217, + "step": 14020 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 14021 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3384, + "step": 14022 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.465, + "step": 14023 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3231, + "step": 14024 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 14025 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 14026 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 14027 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 14028 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 14029 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3479, + "step": 14030 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4973, + "step": 14031 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 14032 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 14033 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3416, + "step": 14034 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3992, + "step": 14035 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4289, + "step": 14036 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 14037 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 14038 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3594, + "step": 14039 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3499, + "step": 14040 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 14041 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 14042 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3325, + "step": 14043 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 14044 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 14045 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 14046 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 14047 + }, + { + "epoch": 1.55, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 14048 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3198, + "step": 14049 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 14050 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 14051 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 14052 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 14053 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 14054 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 14055 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 14056 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3569, + "step": 14057 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3134, + "step": 14058 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4207, + "step": 14059 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3539, + "step": 14060 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 14061 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 14062 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 14063 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 14064 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4391, + "step": 14065 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 14066 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4595, + "step": 14067 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 14068 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 14069 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 14070 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 14071 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 14072 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4623, + "step": 14073 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 14074 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4514, + "step": 14075 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 14076 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 14077 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 14078 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 14079 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 14080 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3338, + "step": 14081 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 14082 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 14083 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 14084 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3426, + "step": 14085 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 14086 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 14087 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 14088 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 14089 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4439, + "step": 14090 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.45, + "step": 14091 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 14092 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 14093 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4292, + "step": 14094 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 14095 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 14096 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 14097 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 14098 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 14099 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3557, + "step": 14100 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4586, + "step": 14101 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 14102 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 14103 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3416, + "step": 14104 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 14105 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3836, + "step": 14106 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 14107 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 14108 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 14109 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 14110 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 14111 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4887, + "step": 14112 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 14113 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 14114 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 14115 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4534, + "step": 14116 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 14117 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 14118 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3275, + "step": 14119 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4491, + "step": 14120 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 14121 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3448, + "step": 14122 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3726, + "step": 14123 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 14124 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 14125 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 14126 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 14127 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 14128 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 14129 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 14130 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 14131 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 14132 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 14133 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 14134 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 14135 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.3267, + "step": 14136 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 14137 + }, + { + "epoch": 1.56, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 14138 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 14139 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 14140 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.457, + "step": 14141 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 14142 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 14143 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 14144 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 14145 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 14146 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 14147 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.46, + "step": 14148 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3374, + "step": 14149 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 14150 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 14151 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4616, + "step": 14152 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 14153 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 14154 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4329, + "step": 14155 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3381, + "step": 14156 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 14157 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 14158 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 14159 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3717, + "step": 14160 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.347, + "step": 14161 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3364, + "step": 14162 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3383, + "step": 14163 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4366, + "step": 14164 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.5294, + "step": 14165 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 14166 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 14167 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 14168 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 14169 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 14170 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 14171 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4559, + "step": 14172 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 14173 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 14174 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 14175 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4663, + "step": 14176 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 14177 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 14178 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 14179 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 14180 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 14181 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 14182 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 14183 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 14184 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 14185 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 14186 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 14187 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 14188 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 14189 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 14190 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3647, + "step": 14191 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 14192 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3402, + "step": 14193 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 14194 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4695, + "step": 14195 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4084, + "step": 14196 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3382, + "step": 14197 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 14198 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 14199 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 14200 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 14201 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4697, + "step": 14202 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 14203 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 14204 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 14205 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4936, + "step": 14206 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4316, + "step": 14207 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 14208 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 14209 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 14210 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4518, + "step": 14211 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 14212 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4795, + "step": 14213 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 14214 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 14215 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 14216 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 14217 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 14218 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 14219 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 14220 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3443, + "step": 14221 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 14222 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 14223 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.344, + "step": 14224 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.399, + "step": 14225 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.3281, + "step": 14226 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4572, + "step": 14227 + }, + { + "epoch": 1.57, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 14228 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 14229 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 14230 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 14231 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 14232 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.5323, + "step": 14233 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 14234 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 14235 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3557, + "step": 14236 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 14237 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 14238 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 14239 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.449, + "step": 14240 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 14241 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3599, + "step": 14242 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 14243 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 14244 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 14245 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 14246 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.427, + "step": 14247 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4076, + "step": 14248 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 14249 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 14250 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 14251 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4473, + "step": 14252 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 14253 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 14254 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 14255 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 14256 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 14257 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 14258 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 14259 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 14260 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4814, + "step": 14261 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 14262 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 14263 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4327, + "step": 14264 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 14265 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 14266 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 14267 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4608, + "step": 14268 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 14269 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 14270 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4684, + "step": 14271 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 14272 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 14273 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 14274 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 14275 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3419, + "step": 14276 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 14277 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 14278 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 14279 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 14280 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 14281 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 14282 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4523, + "step": 14283 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4218, + "step": 14284 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 14285 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 14286 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 14287 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 14288 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 14289 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 14290 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 14291 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 14292 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 14293 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 14294 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 14295 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4302, + "step": 14296 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 14297 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 14298 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3365, + "step": 14299 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 14300 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 14301 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 14302 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 14303 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 14304 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 14305 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 14306 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 14307 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4215, + "step": 14308 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 14309 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 14310 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 14311 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3967, + "step": 14312 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 14313 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4457, + "step": 14314 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 14315 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4238, + "step": 14316 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4551, + "step": 14317 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.4405, + "step": 14318 + }, + { + "epoch": 1.58, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 14319 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 14320 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 14321 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4529, + "step": 14322 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 14323 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3547, + "step": 14324 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 14325 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 14326 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 14327 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4765, + "step": 14328 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4482, + "step": 14329 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4054, + "step": 14330 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 14331 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 14332 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 14333 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 14334 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 14335 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 14336 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 14337 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 14338 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 14339 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 14340 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 14341 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 14342 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 14343 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 14344 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4742, + "step": 14345 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 14346 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 14347 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 14348 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 14349 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3444, + "step": 14350 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 14351 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 14352 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3404, + "step": 14353 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 14354 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 14355 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 14356 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.5072, + "step": 14357 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3369, + "step": 14358 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 14359 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 14360 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 14361 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4674, + "step": 14362 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4414, + "step": 14363 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 14364 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 14365 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4215, + "step": 14366 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 14367 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4296, + "step": 14368 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 14369 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 14370 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4506, + "step": 14371 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 14372 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 14373 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 14374 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 14375 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 14376 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 14377 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4873, + "step": 14378 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3126, + "step": 14379 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4592, + "step": 14380 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3459, + "step": 14381 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 14382 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 14383 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 14384 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.5425, + "step": 14385 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 14386 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3357, + "step": 14387 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 14388 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 14389 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 14390 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 14391 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4656, + "step": 14392 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 14393 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 14394 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 14395 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3138, + "step": 14396 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 14397 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 14398 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 14399 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 14400 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 14401 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4477, + "step": 14402 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4446, + "step": 14403 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 14404 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3467, + "step": 14405 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 14406 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 14407 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 14408 + }, + { + "epoch": 1.59, + "learning_rate": 2e-05, + "loss": 0.3647, + "step": 14409 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4645, + "step": 14410 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4736, + "step": 14411 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.5065, + "step": 14412 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 14413 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 14414 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 14415 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 14416 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3306, + "step": 14417 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3305, + "step": 14418 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 14419 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 14420 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 14421 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 14422 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 14423 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 14424 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 14425 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 14426 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 14427 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 14428 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 14429 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 14430 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 14431 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 14432 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3706, + "step": 14433 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 14434 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3216, + "step": 14435 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 14436 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 14437 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4073, + "step": 14438 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 14439 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3312, + "step": 14440 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4082, + "step": 14441 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4633, + "step": 14442 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 14443 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 14444 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 14445 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 14446 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 14447 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4609, + "step": 14448 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 14449 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4251, + "step": 14450 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 14451 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 14452 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 14453 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 14454 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 14455 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 14456 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 14457 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 14458 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 14459 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 14460 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 14461 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.451, + "step": 14462 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 14463 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 14464 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 14465 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4885, + "step": 14466 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 14467 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 14468 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 14469 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 14470 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 14471 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 14472 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4535, + "step": 14473 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 14474 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4329, + "step": 14475 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 14476 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 14477 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3189, + "step": 14478 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 14479 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 14480 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 14481 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 14482 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4082, + "step": 14483 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 14484 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 14485 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 14486 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4823, + "step": 14487 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 14488 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 14489 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 14490 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 14491 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 14492 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 14493 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 14494 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 14495 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 14496 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 14497 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 14498 + }, + { + "epoch": 1.6, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 14499 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3469, + "step": 14500 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 14501 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 14502 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3388, + "step": 14503 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4808, + "step": 14504 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 14505 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 14506 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 14507 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3403, + "step": 14508 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3205, + "step": 14509 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.5397, + "step": 14510 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 14511 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 14512 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4266, + "step": 14513 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4368, + "step": 14514 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4911, + "step": 14515 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 14516 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 14517 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 14518 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 14519 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 14520 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4048, + "step": 14521 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4499, + "step": 14522 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4886, + "step": 14523 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 14524 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 14525 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 14526 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 14527 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4229, + "step": 14528 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4871, + "step": 14529 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 14530 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.456, + "step": 14531 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 14532 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3541, + "step": 14533 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 14534 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3243, + "step": 14535 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 14536 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4371, + "step": 14537 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 14538 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 14539 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 14540 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4713, + "step": 14541 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 14542 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 14543 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4686, + "step": 14544 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 14545 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 14546 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 14547 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 14548 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 14549 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 14550 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4446, + "step": 14551 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 14552 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 14553 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3192, + "step": 14554 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 14555 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.311, + "step": 14556 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4891, + "step": 14557 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 14558 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 14559 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4107, + "step": 14560 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 14561 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 14562 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4421, + "step": 14563 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 14564 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 14565 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4711, + "step": 14566 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4233, + "step": 14567 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 14568 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 14569 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 14570 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4054, + "step": 14571 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 14572 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 14573 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.359, + "step": 14574 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 14575 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 14576 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4562, + "step": 14577 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 14578 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4437, + "step": 14579 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 14580 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4993, + "step": 14581 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 14582 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 14583 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 14584 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 14585 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.437, + "step": 14586 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 14587 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4597, + "step": 14588 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 14589 + }, + { + "epoch": 1.61, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 14590 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 14591 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 14592 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3378, + "step": 14593 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 14594 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4134, + "step": 14595 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4724, + "step": 14596 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 14597 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 14598 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 14599 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 14600 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.437, + "step": 14601 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 14602 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 14603 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 14604 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3021, + "step": 14605 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 14606 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 14607 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3932, + "step": 14608 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 14609 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 14610 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 14611 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.5234, + "step": 14612 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 14613 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 14614 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 14615 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 14616 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 14617 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 14618 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 14619 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4903, + "step": 14620 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 14621 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 14622 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 14623 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 14624 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4483, + "step": 14625 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 14626 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 14627 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4334, + "step": 14628 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 14629 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4298, + "step": 14630 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3324, + "step": 14631 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3402, + "step": 14632 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 14633 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 14634 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4047, + "step": 14635 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3367, + "step": 14636 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 14637 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 14638 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 14639 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3361, + "step": 14640 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3493, + "step": 14641 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.2994, + "step": 14642 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 14643 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.46, + "step": 14644 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 14645 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3202, + "step": 14646 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 14647 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4792, + "step": 14648 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4366, + "step": 14649 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3486, + "step": 14650 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 14651 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 14652 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 14653 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 14654 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 14655 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 14656 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 14657 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4285, + "step": 14658 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 14659 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4061, + "step": 14660 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 14661 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4737, + "step": 14662 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 14663 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 14664 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 14665 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 14666 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 14667 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 14668 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 14669 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 14670 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 14671 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 14672 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 14673 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4343, + "step": 14674 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 14675 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 14676 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 14677 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 14678 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.4614, + "step": 14679 + }, + { + "epoch": 1.62, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 14680 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 14681 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 14682 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 14683 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 14684 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 14685 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 14686 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4601, + "step": 14687 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 14688 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 14689 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 14690 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 14691 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3145, + "step": 14692 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 14693 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.347, + "step": 14694 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 14695 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 14696 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 14697 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 14698 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4837, + "step": 14699 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 14700 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 14701 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 14702 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3364, + "step": 14703 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 14704 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3252, + "step": 14705 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 14706 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 14707 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4721, + "step": 14708 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 14709 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 14710 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 14711 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3471, + "step": 14712 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 14713 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 14714 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4526, + "step": 14715 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.329, + "step": 14716 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 14717 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4433, + "step": 14718 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3354, + "step": 14719 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 14720 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 14721 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4441, + "step": 14722 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 14723 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 14724 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 14725 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4466, + "step": 14726 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 14727 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4228, + "step": 14728 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3462, + "step": 14729 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.432, + "step": 14730 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3227, + "step": 14731 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 14732 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.441, + "step": 14733 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3312, + "step": 14734 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 14735 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3504, + "step": 14736 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 14737 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 14738 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 14739 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 14740 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 14741 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 14742 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 14743 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 14744 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 14745 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 14746 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 14747 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 14748 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 14749 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 14750 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.464, + "step": 14751 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 14752 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3452, + "step": 14753 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 14754 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 14755 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 14756 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 14757 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 14758 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 14759 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 14760 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 14761 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4795, + "step": 14762 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3554, + "step": 14763 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 14764 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 14765 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3716, + "step": 14766 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3268, + "step": 14767 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 14768 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 14769 + }, + { + "epoch": 1.63, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 14770 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 14771 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4322, + "step": 14772 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3145, + "step": 14773 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 14774 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 14775 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 14776 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 14777 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 14778 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3338, + "step": 14779 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4539, + "step": 14780 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 14781 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 14782 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 14783 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 14784 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 14785 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 14786 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 14787 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 14788 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 14789 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 14790 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 14791 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 14792 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 14793 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.5053, + "step": 14794 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.365, + "step": 14795 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 14796 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 14797 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 14798 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4092, + "step": 14799 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 14800 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 14801 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 14802 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 14803 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4409, + "step": 14804 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4581, + "step": 14805 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 14806 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 14807 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4355, + "step": 14808 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4419, + "step": 14809 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4423, + "step": 14810 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 14811 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 14812 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3143, + "step": 14813 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3638, + "step": 14814 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 14815 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 14816 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.469, + "step": 14817 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4027, + "step": 14818 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 14819 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4361, + "step": 14820 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 14821 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 14822 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 14823 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 14824 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 14825 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4556, + "step": 14826 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 14827 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4935, + "step": 14828 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 14829 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 14830 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 14831 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 14832 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 14833 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 14834 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 14835 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 14836 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 14837 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 14838 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 14839 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 14840 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 14841 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 14842 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 14843 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 14844 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4522, + "step": 14845 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 14846 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3497, + "step": 14847 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 14848 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 14849 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 14850 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 14851 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3411, + "step": 14852 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 14853 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3306, + "step": 14854 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 14855 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 14856 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 14857 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 14858 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 14859 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 14860 + }, + { + "epoch": 1.64, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 14861 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 14862 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 14863 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 14864 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 14865 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3313, + "step": 14866 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 14867 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 14868 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 14869 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 14870 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 14871 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 14872 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 14873 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 14874 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 14875 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3944, + "step": 14876 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3569, + "step": 14877 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 14878 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4798, + "step": 14879 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 14880 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 14881 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 14882 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 14883 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.468, + "step": 14884 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4883, + "step": 14885 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 14886 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 14887 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 14888 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 14889 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4193, + "step": 14890 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 14891 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3163, + "step": 14892 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4754, + "step": 14893 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 14894 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 14895 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 14896 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 14897 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3334, + "step": 14898 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 14899 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3276, + "step": 14900 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 14901 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3582, + "step": 14902 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 14903 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4418, + "step": 14904 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 14905 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 14906 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4003, + "step": 14907 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 14908 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 14909 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 14910 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 14911 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 14912 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 14913 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 14914 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3626, + "step": 14915 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 14916 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 14917 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 14918 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3595, + "step": 14919 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 14920 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 14921 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 14922 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 14923 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 14924 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 14925 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 14926 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 14927 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4469, + "step": 14928 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 14929 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3954, + "step": 14930 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 14931 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 14932 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 14933 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4998, + "step": 14934 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4159, + "step": 14935 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4289, + "step": 14936 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4847, + "step": 14937 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 14938 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 14939 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 14940 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3407, + "step": 14941 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3656, + "step": 14942 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 14943 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 14944 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3708, + "step": 14945 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 14946 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 14947 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 14948 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.409, + "step": 14949 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 14950 + }, + { + "epoch": 1.65, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 14951 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 14952 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4444, + "step": 14953 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 14954 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 14955 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3223, + "step": 14956 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 14957 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 14958 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 14959 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.334, + "step": 14960 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 14961 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 14962 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 14963 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 14964 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4349, + "step": 14965 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 14966 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3401, + "step": 14967 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 14968 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.326, + "step": 14969 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 14970 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3988, + "step": 14971 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3624, + "step": 14972 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.5545, + "step": 14973 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3505, + "step": 14974 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 14975 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3306, + "step": 14976 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 14977 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 14978 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 14979 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 14980 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 14981 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 14982 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4827, + "step": 14983 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 14984 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 14985 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3257, + "step": 14986 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 14987 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 14988 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.5137, + "step": 14989 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 14990 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3403, + "step": 14991 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 14992 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4322, + "step": 14993 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 14994 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 14995 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.2908, + "step": 14996 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 14997 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 14998 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3442, + "step": 14999 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 15000 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 15001 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 15002 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4055, + "step": 15003 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 15004 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 15005 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4328, + "step": 15006 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 15007 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 15008 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 15009 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 15010 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 15011 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 15012 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 15013 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 15014 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.377, + "step": 15015 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 15016 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3481, + "step": 15017 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 15018 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 15019 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.446, + "step": 15020 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 15021 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4329, + "step": 15022 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 15023 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 15024 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 15025 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4815, + "step": 15026 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3565, + "step": 15027 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 15028 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 15029 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 15030 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 15031 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4447, + "step": 15032 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4503, + "step": 15033 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 15034 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3356, + "step": 15035 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4847, + "step": 15036 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 15037 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 15038 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 15039 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 15040 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4725, + "step": 15041 + }, + { + "epoch": 1.66, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 15042 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 15043 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 15044 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 15045 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 15046 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 15047 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 15048 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 15049 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 15050 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 15051 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 15052 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 15053 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 15054 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 15055 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 15056 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 15057 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 15058 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 15059 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 15060 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3409, + "step": 15061 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 15062 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 15063 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.38, + "step": 15064 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.5002, + "step": 15065 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 15066 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.416, + "step": 15067 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4862, + "step": 15068 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 15069 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3444, + "step": 15070 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 15071 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 15072 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 15073 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 15074 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.334, + "step": 15075 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 15076 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4176, + "step": 15077 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4391, + "step": 15078 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 15079 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 15080 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3565, + "step": 15081 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3626, + "step": 15082 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.342, + "step": 15083 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3741, + "step": 15084 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 15085 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 15086 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3837, + "step": 15087 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 15088 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 15089 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 15090 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4791, + "step": 15091 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 15092 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 15093 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4705, + "step": 15094 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4512, + "step": 15095 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 15096 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4052, + "step": 15097 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4085, + "step": 15098 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 15099 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 15100 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 15101 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 15102 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 15103 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 15104 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 15105 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 15106 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 15107 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 15108 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3605, + "step": 15109 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3798, + "step": 15110 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3787, + "step": 15111 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 15112 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 15113 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 15114 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4432, + "step": 15115 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 15116 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 15117 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 15118 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4753, + "step": 15119 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 15120 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 15121 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 15122 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4741, + "step": 15123 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 15124 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 15125 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3851, + "step": 15126 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4578, + "step": 15127 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 15128 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4793, + "step": 15129 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 15130 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 15131 + }, + { + "epoch": 1.67, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 15132 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4238, + "step": 15133 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4397, + "step": 15134 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 15135 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3387, + "step": 15136 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 15137 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4565, + "step": 15138 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 15139 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.487, + "step": 15140 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 15141 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 15142 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 15143 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 15144 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4284, + "step": 15145 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 15146 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 15147 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 15148 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 15149 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3547, + "step": 15150 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 15151 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 15152 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 15153 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 15154 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 15155 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 15156 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 15157 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3186, + "step": 15158 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3881, + "step": 15159 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 15160 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 15161 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.462, + "step": 15162 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 15163 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 15164 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 15165 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 15166 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 15167 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 15168 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 15169 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.359, + "step": 15170 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 15171 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 15172 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4623, + "step": 15173 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4404, + "step": 15174 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 15175 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.464, + "step": 15176 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4713, + "step": 15177 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 15178 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 15179 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 15180 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 15181 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 15182 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4582, + "step": 15183 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 15184 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3371, + "step": 15185 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 15186 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 15187 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 15188 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4314, + "step": 15189 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 15190 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 15191 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 15192 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3443, + "step": 15193 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 15194 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3992, + "step": 15195 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 15196 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 15197 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 15198 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 15199 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3432, + "step": 15200 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 15201 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 15202 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 15203 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 15204 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 15205 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 15206 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 15207 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4534, + "step": 15208 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4893, + "step": 15209 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 15210 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4054, + "step": 15211 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 15212 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 15213 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 15214 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 15215 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 15216 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 15217 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4427, + "step": 15218 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 15219 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 15220 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 15221 + }, + { + "epoch": 1.68, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 15222 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 15223 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 15224 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 15225 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 15226 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3689, + "step": 15227 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 15228 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 15229 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 15230 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 15231 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 15232 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.426, + "step": 15233 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 15234 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3943, + "step": 15235 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 15236 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 15237 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4631, + "step": 15238 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 15239 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 15240 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3308, + "step": 15241 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4759, + "step": 15242 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 15243 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 15244 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 15245 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3226, + "step": 15246 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 15247 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 15248 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4048, + "step": 15249 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4843, + "step": 15250 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3185, + "step": 15251 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3185, + "step": 15252 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4746, + "step": 15253 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 15254 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4662, + "step": 15255 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 15256 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 15257 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.474, + "step": 15258 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4263, + "step": 15259 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 15260 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 15261 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3218, + "step": 15262 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.377, + "step": 15263 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 15264 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 15265 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 15266 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 15267 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 15268 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3406, + "step": 15269 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4525, + "step": 15270 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 15271 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 15272 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 15273 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3568, + "step": 15274 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 15275 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 15276 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3647, + "step": 15277 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 15278 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 15279 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 15280 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.35, + "step": 15281 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 15282 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 15283 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 15284 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3374, + "step": 15285 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 15286 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 15287 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 15288 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 15289 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 15290 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 15291 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 15292 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 15293 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 15294 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 15295 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 15296 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3442, + "step": 15297 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3287, + "step": 15298 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 15299 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 15300 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 15301 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 15302 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.482, + "step": 15303 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4646, + "step": 15304 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 15305 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4543, + "step": 15306 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 15307 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 15308 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3286, + "step": 15309 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 15310 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 15311 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 15312 + }, + { + "epoch": 1.69, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 15313 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 15314 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 15315 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 15316 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4419, + "step": 15317 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 15318 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.5304, + "step": 15319 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 15320 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 15321 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 15322 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 15323 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 15324 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4006, + "step": 15325 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 15326 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 15327 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3779, + "step": 15328 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4552, + "step": 15329 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4949, + "step": 15330 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 15331 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.5117, + "step": 15332 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3459, + "step": 15333 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 15334 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 15335 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3497, + "step": 15336 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 15337 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 15338 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3472, + "step": 15339 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 15340 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 15341 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 15342 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3748, + "step": 15343 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 15344 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 15345 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 15346 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3203, + "step": 15347 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4054, + "step": 15348 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 15349 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 15350 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 15351 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 15352 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.341, + "step": 15353 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4492, + "step": 15354 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 15355 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 15356 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 15357 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 15358 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 15359 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 15360 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 15361 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 15362 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 15363 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 15364 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 15365 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3739, + "step": 15366 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 15367 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4898, + "step": 15368 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 15369 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3094, + "step": 15370 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 15371 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 15372 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.332, + "step": 15373 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 15374 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3103, + "step": 15375 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3655, + "step": 15376 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 15377 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3551, + "step": 15378 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 15379 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3169, + "step": 15380 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 15381 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 15382 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 15383 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 15384 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.336, + "step": 15385 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 15386 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 15387 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.411, + "step": 15388 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 15389 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 15390 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 15391 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 15392 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 15393 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 15394 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4451, + "step": 15395 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 15396 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3497, + "step": 15397 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 15398 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 15399 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4003, + "step": 15400 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3403, + "step": 15401 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.4464, + "step": 15402 + }, + { + "epoch": 1.7, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 15403 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 15404 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3129, + "step": 15405 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 15406 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.422, + "step": 15407 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.367, + "step": 15408 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 15409 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3871, + "step": 15410 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 15411 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3626, + "step": 15412 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 15413 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.336, + "step": 15414 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4319, + "step": 15415 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 15416 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 15417 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 15418 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 15419 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 15420 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 15421 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 15422 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3731, + "step": 15423 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 15424 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 15425 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 15426 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4494, + "step": 15427 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 15428 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3653, + "step": 15429 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 15430 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 15431 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3455, + "step": 15432 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3426, + "step": 15433 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 15434 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 15435 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 15436 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3651, + "step": 15437 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 15438 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 15439 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 15440 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3469, + "step": 15441 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 15442 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 15443 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 15444 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 15445 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 15446 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 15447 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4092, + "step": 15448 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 15449 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 15450 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 15451 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3954, + "step": 15452 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 15453 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 15454 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 15455 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 15456 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 15457 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 15458 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 15459 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 15460 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 15461 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 15462 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 15463 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 15464 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 15465 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 15466 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4574, + "step": 15467 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 15468 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 15469 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 15470 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 15471 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 15472 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4149, + "step": 15473 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 15474 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 15475 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3726, + "step": 15476 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 15477 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 15478 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 15479 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 15480 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 15481 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4735, + "step": 15482 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 15483 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 15484 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 15485 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4947, + "step": 15486 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 15487 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 15488 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4991, + "step": 15489 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3252, + "step": 15490 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 15491 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 15492 + }, + { + "epoch": 1.71, + "learning_rate": 2e-05, + "loss": 0.4868, + "step": 15493 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 15494 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3603, + "step": 15495 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 15496 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 15497 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 15498 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 15499 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4164, + "step": 15500 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 15501 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.426, + "step": 15502 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3585, + "step": 15503 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 15504 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3574, + "step": 15505 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 15506 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 15507 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 15508 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 15509 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 15510 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 15511 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 15512 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 15513 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 15514 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4619, + "step": 15515 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.358, + "step": 15516 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4707, + "step": 15517 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 15518 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 15519 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 15520 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 15521 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3492, + "step": 15522 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 15523 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 15524 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 15525 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 15526 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 15527 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4999, + "step": 15528 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 15529 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3518, + "step": 15530 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 15531 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4358, + "step": 15532 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3935, + "step": 15533 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 15534 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 15535 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 15536 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 15537 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 15538 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 15539 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4804, + "step": 15540 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 15541 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4049, + "step": 15542 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.5092, + "step": 15543 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 15544 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4302, + "step": 15545 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 15546 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 15547 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4409, + "step": 15548 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 15549 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4621, + "step": 15550 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 15551 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 15552 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3096, + "step": 15553 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 15554 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 15555 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 15556 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 15557 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 15558 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3865, + "step": 15559 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.318, + "step": 15560 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 15561 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 15562 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 15563 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 15564 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 15565 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 15566 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.403, + "step": 15567 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 15568 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 15569 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 15570 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 15571 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4116, + "step": 15572 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4376, + "step": 15573 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 15574 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 15575 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 15576 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 15577 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 15578 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 15579 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3335, + "step": 15580 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4538, + "step": 15581 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.4632, + "step": 15582 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3786, + "step": 15583 + }, + { + "epoch": 1.72, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 15584 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 15585 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3216, + "step": 15586 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 15587 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 15588 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 15589 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 15590 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.5495, + "step": 15591 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4143, + "step": 15592 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.341, + "step": 15593 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 15594 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 15595 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 15596 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3458, + "step": 15597 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 15598 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.474, + "step": 15599 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3302, + "step": 15600 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 15601 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 15602 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 15603 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 15604 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 15605 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 15606 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 15607 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 15608 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.417, + "step": 15609 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 15610 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 15611 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 15612 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3652, + "step": 15613 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3476, + "step": 15614 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 15615 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3546, + "step": 15616 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 15617 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 15618 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4779, + "step": 15619 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4488, + "step": 15620 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 15621 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 15622 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3355, + "step": 15623 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 15624 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4143, + "step": 15625 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 15626 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 15627 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.312, + "step": 15628 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3584, + "step": 15629 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 15630 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 15631 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 15632 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 15633 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4625, + "step": 15634 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 15635 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 15636 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 15637 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 15638 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3182, + "step": 15639 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 15640 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 15641 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 15642 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3271, + "step": 15643 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 15644 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 15645 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 15646 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 15647 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 15648 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3973, + "step": 15649 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 15650 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 15651 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4109, + "step": 15652 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 15653 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3957, + "step": 15654 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 15655 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 15656 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 15657 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 15658 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3287, + "step": 15659 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4467, + "step": 15660 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 15661 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 15662 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 15663 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 15664 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 15665 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 15666 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 15667 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 15668 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 15669 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.39, + "step": 15670 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 15671 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 15672 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 15673 + }, + { + "epoch": 1.73, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 15674 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 15675 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 15676 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.2999, + "step": 15677 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 15678 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 15679 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 15680 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.5041, + "step": 15681 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4244, + "step": 15682 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 15683 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 15684 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3366, + "step": 15685 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 15686 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 15687 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 15688 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4842, + "step": 15689 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 15690 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3869, + "step": 15691 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 15692 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3437, + "step": 15693 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3992, + "step": 15694 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4049, + "step": 15695 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 15696 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4138, + "step": 15697 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3492, + "step": 15698 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 15699 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3848, + "step": 15700 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4028, + "step": 15701 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 15702 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3604, + "step": 15703 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 15704 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 15705 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4368, + "step": 15706 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4416, + "step": 15707 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 15708 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 15709 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3269, + "step": 15710 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 15711 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 15712 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3934, + "step": 15713 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4407, + "step": 15714 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 15715 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 15716 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 15717 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 15718 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4499, + "step": 15719 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4728, + "step": 15720 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3807, + "step": 15721 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 15722 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 15723 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 15724 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 15725 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 15726 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 15727 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4355, + "step": 15728 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3976, + "step": 15729 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 15730 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 15731 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 15732 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 15733 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 15734 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 15735 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 15736 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.45, + "step": 15737 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3924, + "step": 15738 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4318, + "step": 15739 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3656, + "step": 15740 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 15741 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 15742 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4569, + "step": 15743 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3753, + "step": 15744 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 15745 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 15746 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 15747 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 15748 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 15749 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 15750 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 15751 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 15752 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3572, + "step": 15753 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 15754 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4535, + "step": 15755 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 15756 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 15757 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 15758 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 15759 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4347, + "step": 15760 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 15761 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4478, + "step": 15762 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 15763 + }, + { + "epoch": 1.74, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 15764 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 15765 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4785, + "step": 15766 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 15767 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3757, + "step": 15768 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 15769 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 15770 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.471, + "step": 15771 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 15772 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 15773 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 15774 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 15775 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 15776 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 15777 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 15778 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4299, + "step": 15779 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3443, + "step": 15780 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 15781 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3277, + "step": 15782 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 15783 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4427, + "step": 15784 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 15785 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3397, + "step": 15786 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 15787 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4683, + "step": 15788 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 15789 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 15790 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3555, + "step": 15791 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3476, + "step": 15792 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.399, + "step": 15793 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 15794 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 15795 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3432, + "step": 15796 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 15797 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3244, + "step": 15798 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 15799 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3405, + "step": 15800 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 15801 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 15802 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4085, + "step": 15803 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 15804 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 15805 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 15806 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3754, + "step": 15807 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 15808 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 15809 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4374, + "step": 15810 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 15811 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 15812 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 15813 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.45, + "step": 15814 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 15815 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 15816 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4487, + "step": 15817 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 15818 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 15819 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 15820 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3885, + "step": 15821 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 15822 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 15823 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 15824 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 15825 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 15826 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 15827 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4131, + "step": 15828 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 15829 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3434, + "step": 15830 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 15831 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3328, + "step": 15832 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 15833 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4365, + "step": 15834 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 15835 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 15836 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 15837 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3355, + "step": 15838 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 15839 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 15840 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3656, + "step": 15841 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.5126, + "step": 15842 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 15843 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3923, + "step": 15844 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 15845 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 15846 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.356, + "step": 15847 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 15848 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3771, + "step": 15849 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 15850 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3985, + "step": 15851 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 15852 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3656, + "step": 15853 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 15854 + }, + { + "epoch": 1.75, + "learning_rate": 2e-05, + "loss": 0.4317, + "step": 15855 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3602, + "step": 15856 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 15857 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 15858 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 15859 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 15860 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4335, + "step": 15861 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 15862 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3734, + "step": 15863 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 15864 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 15865 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 15866 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 15867 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 15868 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3689, + "step": 15869 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 15870 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 15871 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4571, + "step": 15872 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 15873 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.2966, + "step": 15874 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 15875 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 15876 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 15877 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 15878 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4597, + "step": 15879 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 15880 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 15881 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3329, + "step": 15882 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 15883 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 15884 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4355, + "step": 15885 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 15886 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4691, + "step": 15887 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 15888 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4555, + "step": 15889 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 15890 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.338, + "step": 15891 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3717, + "step": 15892 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3709, + "step": 15893 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4317, + "step": 15894 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 15895 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3095, + "step": 15896 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3394, + "step": 15897 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 15898 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 15899 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 15900 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4757, + "step": 15901 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 15902 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 15903 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 15904 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 15905 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3485, + "step": 15906 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 15907 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 15908 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 15909 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 15910 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 15911 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 15912 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 15913 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.5468, + "step": 15914 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 15915 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 15916 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 15917 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 15918 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4055, + "step": 15919 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.454, + "step": 15920 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 15921 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3045, + "step": 15922 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 15923 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 15924 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4453, + "step": 15925 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4403, + "step": 15926 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4276, + "step": 15927 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 15928 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 15929 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 15930 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 15931 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 15932 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 15933 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.377, + "step": 15934 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.41, + "step": 15935 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 15936 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 15937 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3441, + "step": 15938 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 15939 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 15940 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3517, + "step": 15941 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 15942 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3814, + "step": 15943 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 15944 + }, + { + "epoch": 1.76, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 15945 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.417, + "step": 15946 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3913, + "step": 15947 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 15948 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3448, + "step": 15949 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4508, + "step": 15950 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3294, + "step": 15951 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 15952 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 15953 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 15954 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3364, + "step": 15955 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3957, + "step": 15956 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.466, + "step": 15957 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 15958 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 15959 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4048, + "step": 15960 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 15961 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4465, + "step": 15962 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 15963 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 15964 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 15965 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3318, + "step": 15966 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.5753, + "step": 15967 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 15968 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 15969 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3767, + "step": 15970 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 15971 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 15972 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 15973 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 15974 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4032, + "step": 15975 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4461, + "step": 15976 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4532, + "step": 15977 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3219, + "step": 15978 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 15979 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3943, + "step": 15980 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 15981 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 15982 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4536, + "step": 15983 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 15984 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4211, + "step": 15985 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 15986 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.5071, + "step": 15987 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 15988 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4249, + "step": 15989 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 15990 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 15991 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4635, + "step": 15992 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 15993 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 15994 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 15995 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 15996 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 15997 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3511, + "step": 15998 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4649, + "step": 15999 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 16000 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3381, + "step": 16001 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 16002 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 16003 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 16004 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4253, + "step": 16005 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 16006 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 16007 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 16008 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 16009 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 16010 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4357, + "step": 16011 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 16012 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3797, + "step": 16013 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 16014 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3351, + "step": 16015 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4353, + "step": 16016 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 16017 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 16018 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 16019 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 16020 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 16021 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4047, + "step": 16022 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 16023 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 16024 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 16025 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 16026 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 16027 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4406, + "step": 16028 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 16029 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4387, + "step": 16030 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3677, + "step": 16031 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 16032 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.4327, + "step": 16033 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3899, + "step": 16034 + }, + { + "epoch": 1.77, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 16035 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 16036 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 16037 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 16038 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4916, + "step": 16039 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4586, + "step": 16040 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3988, + "step": 16041 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 16042 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 16043 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3506, + "step": 16044 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 16045 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 16046 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 16047 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 16048 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 16049 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 16050 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 16051 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4928, + "step": 16052 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3338, + "step": 16053 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.415, + "step": 16054 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4934, + "step": 16055 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3886, + "step": 16056 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4412, + "step": 16057 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 16058 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 16059 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 16060 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 16061 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 16062 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 16063 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 16064 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 16065 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 16066 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 16067 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 16068 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 16069 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 16070 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 16071 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 16072 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 16073 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 16074 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 16075 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 16076 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 16077 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 16078 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 16079 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 16080 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.435, + "step": 16081 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 16082 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 16083 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3806, + "step": 16084 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3339, + "step": 16085 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 16086 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 16087 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3613, + "step": 16088 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3163, + "step": 16089 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 16090 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4502, + "step": 16091 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 16092 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3928, + "step": 16093 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.2946, + "step": 16094 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.438, + "step": 16095 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 16096 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.455, + "step": 16097 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 16098 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.5045, + "step": 16099 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 16100 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.372, + "step": 16101 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 16102 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4625, + "step": 16103 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 16104 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.405, + "step": 16105 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 16106 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 16107 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4506, + "step": 16108 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3783, + "step": 16109 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 16110 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 16111 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 16112 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 16113 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 16114 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 16115 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 16116 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 16117 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4149, + "step": 16118 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4511, + "step": 16119 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 16120 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.44, + "step": 16121 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.2971, + "step": 16122 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3853, + "step": 16123 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.4611, + "step": 16124 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 16125 + }, + { + "epoch": 1.78, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 16126 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 16127 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 16128 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4288, + "step": 16129 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 16130 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3484, + "step": 16131 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3213, + "step": 16132 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 16133 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 16134 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4297, + "step": 16135 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 16136 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3121, + "step": 16137 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 16138 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 16139 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 16140 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4285, + "step": 16141 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 16142 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4585, + "step": 16143 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 16144 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 16145 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.48, + "step": 16146 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 16147 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4629, + "step": 16148 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 16149 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4806, + "step": 16150 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 16151 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 16152 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3324, + "step": 16153 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3866, + "step": 16154 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 16155 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 16156 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 16157 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4771, + "step": 16158 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 16159 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 16160 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 16161 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4156, + "step": 16162 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4238, + "step": 16163 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 16164 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 16165 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 16166 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.438, + "step": 16167 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4284, + "step": 16168 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4421, + "step": 16169 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 16170 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 16171 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 16172 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4566, + "step": 16173 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3922, + "step": 16174 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 16175 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 16176 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 16177 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 16178 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 16179 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 16180 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3202, + "step": 16181 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3211, + "step": 16182 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 16183 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 16184 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 16185 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 16186 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3916, + "step": 16187 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3481, + "step": 16188 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4096, + "step": 16189 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 16190 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4322, + "step": 16191 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 16192 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4231, + "step": 16193 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 16194 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 16195 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4715, + "step": 16196 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 16197 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3651, + "step": 16198 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 16199 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4933, + "step": 16200 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 16201 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 16202 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 16203 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 16204 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4272, + "step": 16205 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3361, + "step": 16206 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 16207 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 16208 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3803, + "step": 16209 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4648, + "step": 16210 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 16211 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 16212 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3206, + "step": 16213 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.4546, + "step": 16214 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 16215 + }, + { + "epoch": 1.79, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 16216 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 16217 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 16218 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 16219 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4812, + "step": 16220 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 16221 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3509, + "step": 16222 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 16223 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 16224 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3304, + "step": 16225 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 16226 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 16227 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 16228 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 16229 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 16230 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 16231 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4345, + "step": 16232 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 16233 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4765, + "step": 16234 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 16235 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 16236 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 16237 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 16238 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 16239 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4598, + "step": 16240 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 16241 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 16242 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 16243 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4712, + "step": 16244 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 16245 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 16246 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4199, + "step": 16247 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 16248 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4278, + "step": 16249 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 16250 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 16251 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4407, + "step": 16252 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4184, + "step": 16253 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 16254 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4086, + "step": 16255 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.2905, + "step": 16256 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4437, + "step": 16257 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4053, + "step": 16258 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 16259 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4573, + "step": 16260 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 16261 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3277, + "step": 16262 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 16263 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.43, + "step": 16264 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 16265 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3934, + "step": 16266 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 16267 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 16268 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 16269 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4142, + "step": 16270 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 16271 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 16272 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.351, + "step": 16273 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 16274 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.431, + "step": 16275 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 16276 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3451, + "step": 16277 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 16278 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3854, + "step": 16279 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3653, + "step": 16280 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3491, + "step": 16281 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.5292, + "step": 16282 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 16283 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 16284 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4542, + "step": 16285 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 16286 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 16287 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 16288 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4642, + "step": 16289 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 16290 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4333, + "step": 16291 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 16292 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4651, + "step": 16293 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 16294 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3533, + "step": 16295 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 16296 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 16297 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 16298 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 16299 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 16300 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 16301 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4609, + "step": 16302 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 16303 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 16304 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 16305 + }, + { + "epoch": 1.8, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 16306 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3742, + "step": 16307 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 16308 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.355, + "step": 16309 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 16310 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3473, + "step": 16311 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 16312 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 16313 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3727, + "step": 16314 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3193, + "step": 16315 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 16316 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 16317 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4154, + "step": 16318 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 16319 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3901, + "step": 16320 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3567, + "step": 16321 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3293, + "step": 16322 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 16323 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.343, + "step": 16324 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3313, + "step": 16325 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4138, + "step": 16326 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3829, + "step": 16327 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 16328 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 16329 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 16330 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 16331 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 16332 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3794, + "step": 16333 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.6039, + "step": 16334 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3796, + "step": 16335 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 16336 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3385, + "step": 16337 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3459, + "step": 16338 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 16339 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 16340 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4401, + "step": 16341 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3814, + "step": 16342 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3903, + "step": 16343 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 16344 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 16345 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 16346 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 16347 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 16348 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.338, + "step": 16349 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3494, + "step": 16350 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 16351 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3106, + "step": 16352 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4358, + "step": 16353 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 16354 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3673, + "step": 16355 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3384, + "step": 16356 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 16357 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3045, + "step": 16358 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 16359 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 16360 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 16361 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4006, + "step": 16362 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 16363 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 16364 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 16365 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 16366 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 16367 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3926, + "step": 16368 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3902, + "step": 16369 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 16370 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 16371 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 16372 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 16373 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4442, + "step": 16374 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 16375 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 16376 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 16377 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 16378 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 16379 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 16380 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 16381 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3746, + "step": 16382 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 16383 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 16384 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 16385 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4277, + "step": 16386 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 16387 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 16388 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 16389 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 16390 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4314, + "step": 16391 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 16392 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.5634, + "step": 16393 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4278, + "step": 16394 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 16395 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.412, + "step": 16396 + }, + { + "epoch": 1.81, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 16397 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3764, + "step": 16398 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 16399 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4113, + "step": 16400 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 16401 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3191, + "step": 16402 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 16403 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3148, + "step": 16404 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 16405 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 16406 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 16407 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 16408 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 16409 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3699, + "step": 16410 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 16411 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4354, + "step": 16412 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 16413 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 16414 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 16415 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3684, + "step": 16416 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 16417 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 16418 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 16419 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 16420 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3856, + "step": 16421 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 16422 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3999, + "step": 16423 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 16424 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3845, + "step": 16425 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 16426 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3644, + "step": 16427 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 16428 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 16429 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 16430 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.388, + "step": 16431 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.398, + "step": 16432 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 16433 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3833, + "step": 16434 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4351, + "step": 16435 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 16436 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 16437 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3501, + "step": 16438 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4277, + "step": 16439 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4468, + "step": 16440 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4516, + "step": 16441 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3086, + "step": 16442 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 16443 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 16444 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 16445 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3184, + "step": 16446 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 16447 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.5027, + "step": 16448 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 16449 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 16450 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 16451 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 16452 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3489, + "step": 16453 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 16454 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3308, + "step": 16455 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 16456 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3953, + "step": 16457 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 16458 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4839, + "step": 16459 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 16460 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4369, + "step": 16461 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 16462 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 16463 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 16464 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 16465 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.412, + "step": 16466 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3857, + "step": 16467 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3906, + "step": 16468 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.5125, + "step": 16469 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4298, + "step": 16470 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 16471 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3279, + "step": 16472 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 16473 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3422, + "step": 16474 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3842, + "step": 16475 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3235, + "step": 16476 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 16477 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3405, + "step": 16478 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 16479 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 16480 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4723, + "step": 16481 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 16482 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 16483 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 16484 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3879, + "step": 16485 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 16486 + }, + { + "epoch": 1.82, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 16487 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3892, + "step": 16488 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 16489 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 16490 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 16491 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4683, + "step": 16492 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 16493 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 16494 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 16495 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3627, + "step": 16496 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 16497 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3946, + "step": 16498 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3984, + "step": 16499 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3587, + "step": 16500 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 16501 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 16502 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4002, + "step": 16503 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 16504 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3764, + "step": 16505 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3726, + "step": 16506 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 16507 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 16508 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4473, + "step": 16509 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 16510 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 16511 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 16512 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 16513 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3947, + "step": 16514 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3279, + "step": 16515 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 16516 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 16517 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4425, + "step": 16518 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 16519 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.438, + "step": 16520 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 16521 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 16522 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 16523 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4293, + "step": 16524 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 16525 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 16526 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.404, + "step": 16527 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 16528 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 16529 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.5405, + "step": 16530 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4047, + "step": 16531 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 16532 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3522, + "step": 16533 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 16534 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 16535 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4564, + "step": 16536 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3524, + "step": 16537 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 16538 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3838, + "step": 16539 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4146, + "step": 16540 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 16541 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4163, + "step": 16542 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3862, + "step": 16543 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3523, + "step": 16544 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 16545 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 16546 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 16547 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4449, + "step": 16548 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 16549 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3912, + "step": 16550 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 16551 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 16552 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 16553 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 16554 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 16555 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4884, + "step": 16556 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4286, + "step": 16557 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 16558 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3967, + "step": 16559 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 16560 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4673, + "step": 16561 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 16562 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 16563 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3984, + "step": 16564 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 16565 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 16566 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3801, + "step": 16567 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 16568 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 16569 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 16570 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 16571 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 16572 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4424, + "step": 16573 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.405, + "step": 16574 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 16575 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 16576 + }, + { + "epoch": 1.83, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 16577 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 16578 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 16579 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4567, + "step": 16580 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3877, + "step": 16581 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 16582 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.405, + "step": 16583 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3509, + "step": 16584 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4677, + "step": 16585 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3735, + "step": 16586 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 16587 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 16588 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4254, + "step": 16589 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.439, + "step": 16590 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4204, + "step": 16591 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 16592 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 16593 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 16594 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4668, + "step": 16595 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3435, + "step": 16596 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 16597 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 16598 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 16599 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3799, + "step": 16600 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3401, + "step": 16601 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4665, + "step": 16602 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4787, + "step": 16603 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 16604 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3541, + "step": 16605 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4964, + "step": 16606 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 16607 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 16608 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 16609 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4799, + "step": 16610 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4235, + "step": 16611 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 16612 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3768, + "step": 16613 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 16614 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 16615 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 16616 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3289, + "step": 16617 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 16618 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.363, + "step": 16619 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 16620 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 16621 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3568, + "step": 16622 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3178, + "step": 16623 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 16624 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4089, + "step": 16625 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4537, + "step": 16626 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 16627 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4161, + "step": 16628 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 16629 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3332, + "step": 16630 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 16631 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3668, + "step": 16632 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 16633 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 16634 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4306, + "step": 16635 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3872, + "step": 16636 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4273, + "step": 16637 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 16638 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 16639 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4075, + "step": 16640 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 16641 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4397, + "step": 16642 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4208, + "step": 16643 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 16644 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3564, + "step": 16645 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 16646 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 16647 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4366, + "step": 16648 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 16649 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 16650 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 16651 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 16652 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 16653 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 16654 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4805, + "step": 16655 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.384, + "step": 16656 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 16657 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 16658 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 16659 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 16660 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 16661 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4143, + "step": 16662 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.423, + "step": 16663 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 16664 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 16665 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 16666 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 16667 + }, + { + "epoch": 1.84, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 16668 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 16669 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 16670 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4186, + "step": 16671 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3918, + "step": 16672 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4517, + "step": 16673 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 16674 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3304, + "step": 16675 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 16676 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 16677 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 16678 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4218, + "step": 16679 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4841, + "step": 16680 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 16681 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3439, + "step": 16682 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3517, + "step": 16683 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 16684 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3714, + "step": 16685 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3661, + "step": 16686 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 16687 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 16688 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 16689 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 16690 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 16691 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4594, + "step": 16692 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 16693 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4335, + "step": 16694 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4361, + "step": 16695 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 16696 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3456, + "step": 16697 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4127, + "step": 16698 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 16699 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 16700 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 16701 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 16702 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 16703 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 16704 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 16705 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.466, + "step": 16706 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 16707 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 16708 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4323, + "step": 16709 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 16710 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.445, + "step": 16711 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 16712 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4349, + "step": 16713 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 16714 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 16715 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4416, + "step": 16716 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 16717 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 16718 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 16719 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 16720 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 16721 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3559, + "step": 16722 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3718, + "step": 16723 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4699, + "step": 16724 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 16725 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 16726 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 16727 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4167, + "step": 16728 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4283, + "step": 16729 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.349, + "step": 16730 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 16731 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3802, + "step": 16732 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4228, + "step": 16733 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3394, + "step": 16734 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 16735 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 16736 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.335, + "step": 16737 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 16738 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 16739 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 16740 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4055, + "step": 16741 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3373, + "step": 16742 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 16743 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3438, + "step": 16744 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 16745 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 16746 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3484, + "step": 16747 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 16748 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4246, + "step": 16749 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 16750 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3554, + "step": 16751 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3679, + "step": 16752 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3676, + "step": 16753 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4056, + "step": 16754 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4341, + "step": 16755 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 16756 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 16757 + }, + { + "epoch": 1.85, + "learning_rate": 2e-05, + "loss": 0.4435, + "step": 16758 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 16759 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3554, + "step": 16760 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 16761 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 16762 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 16763 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.352, + "step": 16764 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 16765 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 16766 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 16767 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.373, + "step": 16768 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4513, + "step": 16769 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 16770 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3378, + "step": 16771 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4274, + "step": 16772 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 16773 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3775, + "step": 16774 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 16775 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3805, + "step": 16776 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 16777 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.481, + "step": 16778 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 16779 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 16780 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3499, + "step": 16781 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4346, + "step": 16782 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3975, + "step": 16783 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 16784 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 16785 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 16786 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 16787 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3649, + "step": 16788 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 16789 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 16790 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 16791 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.477, + "step": 16792 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 16793 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4019, + "step": 16794 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4326, + "step": 16795 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 16796 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 16797 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 16798 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3449, + "step": 16799 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4527, + "step": 16800 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4141, + "step": 16801 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3804, + "step": 16802 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 16803 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 16804 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3327, + "step": 16805 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 16806 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4113, + "step": 16807 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 16808 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.2901, + "step": 16809 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4337, + "step": 16810 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 16811 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3547, + "step": 16812 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 16813 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3722, + "step": 16814 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4095, + "step": 16815 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3749, + "step": 16816 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 16817 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 16818 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4228, + "step": 16819 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.5128, + "step": 16820 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 16821 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4324, + "step": 16822 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4247, + "step": 16823 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 16824 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 16825 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 16826 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 16827 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 16828 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 16829 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3873, + "step": 16830 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4351, + "step": 16831 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 16832 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3536, + "step": 16833 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4302, + "step": 16834 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3331, + "step": 16835 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 16836 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 16837 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 16838 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.461, + "step": 16839 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 16840 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 16841 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3597, + "step": 16842 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 16843 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4182, + "step": 16844 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 16845 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.424, + "step": 16846 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 16847 + }, + { + "epoch": 1.86, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 16848 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 16849 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 16850 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4271, + "step": 16851 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 16852 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 16853 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 16854 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4023, + "step": 16855 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3977, + "step": 16856 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 16857 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4117, + "step": 16858 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3303, + "step": 16859 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 16860 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 16861 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 16862 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 16863 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3425, + "step": 16864 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 16865 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 16866 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4493, + "step": 16867 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 16868 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 16869 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 16870 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 16871 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 16872 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4178, + "step": 16873 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 16874 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4074, + "step": 16875 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3355, + "step": 16876 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.5025, + "step": 16877 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4264, + "step": 16878 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4327, + "step": 16879 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 16880 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4363, + "step": 16881 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4624, + "step": 16882 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3556, + "step": 16883 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3864, + "step": 16884 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 16885 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4174, + "step": 16886 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.427, + "step": 16887 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 16888 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3703, + "step": 16889 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3993, + "step": 16890 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4458, + "step": 16891 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 16892 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3702, + "step": 16893 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.467, + "step": 16894 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 16895 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4607, + "step": 16896 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 16897 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.5051, + "step": 16898 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 16899 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 16900 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3175, + "step": 16901 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.389, + "step": 16902 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 16903 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 16904 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 16905 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 16906 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3098, + "step": 16907 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 16908 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3841, + "step": 16909 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4415, + "step": 16910 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 16911 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3663, + "step": 16912 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 16913 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3685, + "step": 16914 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3917, + "step": 16915 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4411, + "step": 16916 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 16917 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4758, + "step": 16918 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4272, + "step": 16919 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 16920 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4106, + "step": 16921 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 16922 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3924, + "step": 16923 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3639, + "step": 16924 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4852, + "step": 16925 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3571, + "step": 16926 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3637, + "step": 16927 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 16928 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4031, + "step": 16929 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4188, + "step": 16930 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4325, + "step": 16931 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4417, + "step": 16932 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 16933 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4681, + "step": 16934 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 16935 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3645, + "step": 16936 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3993, + "step": 16937 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3459, + "step": 16938 + }, + { + "epoch": 1.87, + "learning_rate": 2e-05, + "loss": 0.3654, + "step": 16939 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4165, + "step": 16940 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 16941 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3399, + "step": 16942 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3453, + "step": 16943 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 16944 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 16945 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4844, + "step": 16946 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 16947 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 16948 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3763, + "step": 16949 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4801, + "step": 16950 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3843, + "step": 16951 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 16952 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4471, + "step": 16953 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 16954 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3586, + "step": 16955 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.337, + "step": 16956 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4153, + "step": 16957 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4202, + "step": 16958 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3808, + "step": 16959 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4452, + "step": 16960 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 16961 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 16962 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3558, + "step": 16963 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4577, + "step": 16964 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4069, + "step": 16965 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 16966 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 16967 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4163, + "step": 16968 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 16969 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 16970 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.326, + "step": 16971 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 16972 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4237, + "step": 16973 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 16974 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 16975 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 16976 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 16977 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 16978 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 16979 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4667, + "step": 16980 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3882, + "step": 16981 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 16982 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 16983 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 16984 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4656, + "step": 16985 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4145, + "step": 16986 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 16987 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3745, + "step": 16988 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 16989 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 16990 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4105, + "step": 16991 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 16992 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 16993 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 16994 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3686, + "step": 16995 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4861, + "step": 16996 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4059, + "step": 16997 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3828, + "step": 16998 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4115, + "step": 16999 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3599, + "step": 17000 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 17001 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4534, + "step": 17002 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 17003 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.341, + "step": 17004 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 17005 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3968, + "step": 17006 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3653, + "step": 17007 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4315, + "step": 17008 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4719, + "step": 17009 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 17010 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3788, + "step": 17011 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3619, + "step": 17012 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3711, + "step": 17013 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 17014 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 17015 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4333, + "step": 17016 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 17017 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.369, + "step": 17018 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3621, + "step": 17019 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 17020 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4118, + "step": 17021 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3512, + "step": 17022 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 17023 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4203, + "step": 17024 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4696, + "step": 17025 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.3532, + "step": 17026 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4094, + "step": 17027 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4014, + "step": 17028 + }, + { + "epoch": 1.88, + "learning_rate": 2e-05, + "loss": 0.4485, + "step": 17029 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3782, + "step": 17030 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 17031 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 17032 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 17033 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3533, + "step": 17034 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 17035 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4778, + "step": 17036 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 17037 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3787, + "step": 17038 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 17039 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 17040 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4352, + "step": 17041 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 17042 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 17043 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 17044 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 17045 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 17046 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3848, + "step": 17047 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 17048 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.433, + "step": 17049 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3526, + "step": 17050 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 17051 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4617, + "step": 17052 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4385, + "step": 17053 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4039, + "step": 17054 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 17055 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 17056 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.474, + "step": 17057 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3348, + "step": 17058 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3796, + "step": 17059 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3544, + "step": 17060 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 17061 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 17062 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 17063 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 17064 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3604, + "step": 17065 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 17066 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4429, + "step": 17067 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3395, + "step": 17068 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 17069 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 17070 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 17071 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3552, + "step": 17072 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4005, + "step": 17073 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 17074 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 17075 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.456, + "step": 17076 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3292, + "step": 17077 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.5219, + "step": 17078 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 17079 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3834, + "step": 17080 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3683, + "step": 17081 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3406, + "step": 17082 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 17083 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.359, + "step": 17084 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4122, + "step": 17085 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3963, + "step": 17086 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4532, + "step": 17087 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4155, + "step": 17088 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4179, + "step": 17089 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 17090 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3212, + "step": 17091 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3261, + "step": 17092 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.441, + "step": 17093 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4241, + "step": 17094 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4725, + "step": 17095 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 17096 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 17097 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3331, + "step": 17098 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4164, + "step": 17099 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4438, + "step": 17100 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 17101 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3744, + "step": 17102 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 17103 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 17104 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 17105 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3773, + "step": 17106 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 17107 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4784, + "step": 17108 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3276, + "step": 17109 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4043, + "step": 17110 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3057, + "step": 17111 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 17112 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3127, + "step": 17113 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4386, + "step": 17114 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 17115 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4209, + "step": 17116 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 17117 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3858, + "step": 17118 + }, + { + "epoch": 1.89, + "learning_rate": 2e-05, + "loss": 0.3758, + "step": 17119 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 17120 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3468, + "step": 17121 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 17122 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 17123 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4618, + "step": 17124 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4012, + "step": 17125 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.354, + "step": 17126 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4927, + "step": 17127 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4428, + "step": 17128 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 17129 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4234, + "step": 17130 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3646, + "step": 17131 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 17132 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3971, + "step": 17133 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 17134 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 17135 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4225, + "step": 17136 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3561, + "step": 17137 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 17138 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4599, + "step": 17139 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4431, + "step": 17140 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.419, + "step": 17141 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4423, + "step": 17142 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3839, + "step": 17143 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3344, + "step": 17144 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3658, + "step": 17145 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3997, + "step": 17146 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 17147 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4205, + "step": 17148 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 17149 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 17150 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4379, + "step": 17151 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3592, + "step": 17152 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3846, + "step": 17153 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 17154 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 17155 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 17156 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4162, + "step": 17157 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4294, + "step": 17158 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 17159 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3909, + "step": 17160 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3811, + "step": 17161 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4769, + "step": 17162 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.447, + "step": 17163 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 17164 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 17165 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4173, + "step": 17166 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 17167 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4332, + "step": 17168 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3366, + "step": 17169 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4445, + "step": 17170 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 17171 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3956, + "step": 17172 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3826, + "step": 17173 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.394, + "step": 17174 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.429, + "step": 17175 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 17176 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3583, + "step": 17177 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 17178 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 17179 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.503, + "step": 17180 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 17181 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 17182 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 17183 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4298, + "step": 17184 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 17185 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.393, + "step": 17186 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3952, + "step": 17187 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4291, + "step": 17188 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 17189 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.465, + "step": 17190 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 17191 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 17192 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4196, + "step": 17193 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 17194 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 17195 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.422, + "step": 17196 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4345, + "step": 17197 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3784, + "step": 17198 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3751, + "step": 17199 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 17200 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 17201 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3446, + "step": 17202 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 17203 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 17204 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3519, + "step": 17205 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 17206 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4644, + "step": 17207 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3354, + "step": 17208 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.3981, + "step": 17209 + }, + { + "epoch": 1.9, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 17210 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 17211 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 17212 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4195, + "step": 17213 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3665, + "step": 17214 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 17215 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3421, + "step": 17216 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 17217 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3543, + "step": 17218 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4383, + "step": 17219 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 17220 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 17221 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4047, + "step": 17222 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4128, + "step": 17223 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4038, + "step": 17224 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4981, + "step": 17225 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 17226 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3168, + "step": 17227 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 17228 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 17229 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4121, + "step": 17230 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4042, + "step": 17231 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4302, + "step": 17232 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4472, + "step": 17233 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 17234 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.397, + "step": 17235 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4305, + "step": 17236 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 17237 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3827, + "step": 17238 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 17239 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3641, + "step": 17240 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 17241 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.421, + "step": 17242 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 17243 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 17244 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4931, + "step": 17245 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3411, + "step": 17246 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.372, + "step": 17247 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 17248 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 17249 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 17250 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4257, + "step": 17251 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4734, + "step": 17252 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 17253 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 17254 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3454, + "step": 17255 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3662, + "step": 17256 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 17257 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3989, + "step": 17258 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3503, + "step": 17259 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3535, + "step": 17260 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4198, + "step": 17261 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 17262 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4747, + "step": 17263 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 17264 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4191, + "step": 17265 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4158, + "step": 17266 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4434, + "step": 17267 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4738, + "step": 17268 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3593, + "step": 17269 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3396, + "step": 17270 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 17271 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3529, + "step": 17272 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 17273 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 17274 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 17275 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4109, + "step": 17276 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3615, + "step": 17277 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3957, + "step": 17278 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 17279 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3349, + "step": 17280 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 17281 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 17282 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 17283 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3286, + "step": 17284 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 17285 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 17286 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 17287 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 17288 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4743, + "step": 17289 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 17290 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3531, + "step": 17291 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.2911, + "step": 17292 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3927, + "step": 17293 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4071, + "step": 17294 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3719, + "step": 17295 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3357, + "step": 17296 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3206, + "step": 17297 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.4177, + "step": 17298 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.3426, + "step": 17299 + }, + { + "epoch": 1.91, + "learning_rate": 2e-05, + "loss": 0.42, + "step": 17300 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4226, + "step": 17301 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3815, + "step": 17302 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.357, + "step": 17303 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3886, + "step": 17304 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4219, + "step": 17305 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.5046, + "step": 17306 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 17307 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4737, + "step": 17308 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 17309 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 17310 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3415, + "step": 17311 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 17312 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 17313 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4529, + "step": 17314 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 17315 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 17316 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 17317 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 17318 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 17319 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 17320 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3796, + "step": 17321 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 17322 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4312, + "step": 17323 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 17324 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.377, + "step": 17325 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4193, + "step": 17326 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4011, + "step": 17327 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3951, + "step": 17328 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3528, + "step": 17329 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3641, + "step": 17330 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 17331 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 17332 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 17333 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 17334 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3988, + "step": 17335 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 17336 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 17337 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4295, + "step": 17338 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 17339 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 17340 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3534, + "step": 17341 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 17342 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 17343 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 17344 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3457, + "step": 17345 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.341, + "step": 17346 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4029, + "step": 17347 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.415, + "step": 17348 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 17349 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.378, + "step": 17350 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4201, + "step": 17351 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 17352 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4248, + "step": 17353 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4164, + "step": 17354 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4375, + "step": 17355 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4478, + "step": 17356 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3704, + "step": 17357 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 17358 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4258, + "step": 17359 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 17360 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4761, + "step": 17361 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4009, + "step": 17362 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3554, + "step": 17363 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4026, + "step": 17364 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4152, + "step": 17365 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3581, + "step": 17366 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4322, + "step": 17367 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3353, + "step": 17368 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4112, + "step": 17369 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3789, + "step": 17370 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3933, + "step": 17371 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3737, + "step": 17372 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4866, + "step": 17373 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3448, + "step": 17374 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3674, + "step": 17375 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4103, + "step": 17376 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4496, + "step": 17377 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4733, + "step": 17378 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 17379 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4379, + "step": 17380 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4868, + "step": 17381 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3941, + "step": 17382 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 17383 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4575, + "step": 17384 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4356, + "step": 17385 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 17386 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.4623, + "step": 17387 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3774, + "step": 17388 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3849, + "step": 17389 + }, + { + "epoch": 1.92, + "learning_rate": 2e-05, + "loss": 0.3645, + "step": 17390 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3796, + "step": 17391 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 17392 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3657, + "step": 17393 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3672, + "step": 17394 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4212, + "step": 17395 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3603, + "step": 17396 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.362, + "step": 17397 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3608, + "step": 17398 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 17399 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 17400 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4125, + "step": 17401 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4613, + "step": 17402 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.483, + "step": 17403 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3636, + "step": 17404 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4254, + "step": 17405 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3776, + "step": 17406 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4311, + "step": 17407 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 17408 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 17409 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4033, + "step": 17410 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3678, + "step": 17411 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3394, + "step": 17412 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4588, + "step": 17413 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 17414 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4338, + "step": 17415 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4474, + "step": 17416 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 17417 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4001, + "step": 17418 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 17419 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4703, + "step": 17420 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3466, + "step": 17421 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 17422 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4243, + "step": 17423 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4108, + "step": 17424 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3996, + "step": 17425 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4007, + "step": 17426 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4222, + "step": 17427 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3884, + "step": 17428 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4764, + "step": 17429 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 17430 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4736, + "step": 17431 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3743, + "step": 17432 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3693, + "step": 17433 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 17434 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.478, + "step": 17435 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 17436 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 17437 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4528, + "step": 17438 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3921, + "step": 17439 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4624, + "step": 17440 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4245, + "step": 17441 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 17442 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3464, + "step": 17443 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 17444 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 17445 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3988, + "step": 17446 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3629, + "step": 17447 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3817, + "step": 17448 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 17449 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3825, + "step": 17450 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 17451 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 17452 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3691, + "step": 17453 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 17454 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4223, + "step": 17455 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4067, + "step": 17456 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3643, + "step": 17457 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.5282, + "step": 17458 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4514, + "step": 17459 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 17460 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4379, + "step": 17461 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 17462 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 17463 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3974, + "step": 17464 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 17465 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4507, + "step": 17466 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3563, + "step": 17467 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3631, + "step": 17468 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 17469 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3994, + "step": 17470 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4111, + "step": 17471 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 17472 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4436, + "step": 17473 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3424, + "step": 17474 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4135, + "step": 17475 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3756, + "step": 17476 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 17477 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 17478 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 17479 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 17480 + }, + { + "epoch": 1.93, + "learning_rate": 2e-05, + "loss": 0.3553, + "step": 17481 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3967, + "step": 17482 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3713, + "step": 17483 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3942, + "step": 17484 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 17485 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4167, + "step": 17486 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4078, + "step": 17487 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 17488 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 17489 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 17490 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4367, + "step": 17491 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.387, + "step": 17492 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4197, + "step": 17493 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4582, + "step": 17494 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 17495 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 17496 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3313, + "step": 17497 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3496, + "step": 17498 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 17499 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4529, + "step": 17500 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4556, + "step": 17501 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 17502 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3818, + "step": 17503 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.452, + "step": 17504 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 17505 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 17506 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 17507 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3598, + "step": 17508 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4172, + "step": 17509 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3412, + "step": 17510 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 17511 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4116, + "step": 17512 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 17513 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3611, + "step": 17514 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4557, + "step": 17515 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 17516 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3687, + "step": 17517 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 17518 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 17519 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3759, + "step": 17520 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4098, + "step": 17521 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4035, + "step": 17522 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3516, + "step": 17523 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4032, + "step": 17524 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3805, + "step": 17525 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4398, + "step": 17526 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.432, + "step": 17527 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.5044, + "step": 17528 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4721, + "step": 17529 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3705, + "step": 17530 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3793, + "step": 17531 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4213, + "step": 17532 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4087, + "step": 17533 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3785, + "step": 17534 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 17535 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 17536 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4545, + "step": 17537 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4157, + "step": 17538 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3769, + "step": 17539 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4064, + "step": 17540 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4267, + "step": 17541 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3682, + "step": 17542 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4511, + "step": 17543 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 17544 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 17545 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 17546 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3448, + "step": 17547 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 17548 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 17549 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3852, + "step": 17550 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3732, + "step": 17551 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 17552 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 17553 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.445, + "step": 17554 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4969, + "step": 17555 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3675, + "step": 17556 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3934, + "step": 17557 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 17558 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3305, + "step": 17559 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 17560 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4689, + "step": 17561 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4849, + "step": 17562 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 17563 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 17564 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 17565 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3392, + "step": 17566 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3832, + "step": 17567 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.4304, + "step": 17568 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 17569 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.3979, + "step": 17570 + }, + { + "epoch": 1.94, + "learning_rate": 2e-05, + "loss": 0.407, + "step": 17571 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.383, + "step": 17572 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 17573 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3618, + "step": 17574 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 17575 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3874, + "step": 17576 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3919, + "step": 17577 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 17578 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 17579 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3889, + "step": 17580 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3538, + "step": 17581 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.418, + "step": 17582 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3863, + "step": 17583 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 17584 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4493, + "step": 17585 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4361, + "step": 17586 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3697, + "step": 17587 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.402, + "step": 17588 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 17589 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3431, + "step": 17590 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3805, + "step": 17591 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4057, + "step": 17592 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3844, + "step": 17593 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 17594 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3478, + "step": 17595 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3701, + "step": 17596 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.344, + "step": 17597 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 17598 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4359, + "step": 17599 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.36, + "step": 17600 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4045, + "step": 17601 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 17602 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4533, + "step": 17603 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3411, + "step": 17604 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3591, + "step": 17605 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4679, + "step": 17606 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4339, + "step": 17607 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3891, + "step": 17608 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.338, + "step": 17609 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4159, + "step": 17610 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3612, + "step": 17611 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 17612 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3877, + "step": 17613 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 17614 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 17615 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3861, + "step": 17616 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.451, + "step": 17617 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 17618 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 17619 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3381, + "step": 17620 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 17621 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4013, + "step": 17622 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4144, + "step": 17623 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4233, + "step": 17624 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4148, + "step": 17625 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 17626 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3283, + "step": 17627 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4408, + "step": 17628 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 17629 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3542, + "step": 17630 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4171, + "step": 17631 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4988, + "step": 17632 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 17633 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.298, + "step": 17634 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4772, + "step": 17635 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 17636 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4575, + "step": 17637 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3897, + "step": 17638 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 17639 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4461, + "step": 17640 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 17641 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 17642 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3607, + "step": 17643 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3429, + "step": 17644 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 17645 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3525, + "step": 17646 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3642, + "step": 17647 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4134, + "step": 17648 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.35, + "step": 17649 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.313, + "step": 17650 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3469, + "step": 17651 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 17652 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4559, + "step": 17653 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4281, + "step": 17654 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4136, + "step": 17655 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3948, + "step": 17656 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3481, + "step": 17657 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.428, + "step": 17658 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.4017, + "step": 17659 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3477, + "step": 17660 + }, + { + "epoch": 1.95, + "learning_rate": 2e-05, + "loss": 0.3497, + "step": 17661 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3095, + "step": 17662 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4605, + "step": 17663 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4456, + "step": 17664 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4631, + "step": 17665 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4256, + "step": 17666 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3721, + "step": 17667 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3939, + "step": 17668 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4416, + "step": 17669 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3578, + "step": 17670 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.408, + "step": 17671 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3379, + "step": 17672 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4, + "step": 17673 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4986, + "step": 17674 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 17675 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3945, + "step": 17676 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 17677 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3766, + "step": 17678 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 17679 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 17680 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4194, + "step": 17681 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 17682 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3967, + "step": 17683 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4307, + "step": 17684 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4456, + "step": 17685 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 17686 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4104, + "step": 17687 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3134, + "step": 17688 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.376, + "step": 17689 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4479, + "step": 17690 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 17691 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3949, + "step": 17692 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 17693 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3432, + "step": 17694 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4428, + "step": 17695 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3959, + "step": 17696 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4072, + "step": 17697 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4262, + "step": 17698 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4119, + "step": 17699 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4612, + "step": 17700 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4139, + "step": 17701 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3938, + "step": 17702 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3915, + "step": 17703 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3929, + "step": 17704 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.406, + "step": 17705 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3667, + "step": 17706 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 17707 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.365, + "step": 17708 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3483, + "step": 17709 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.5573, + "step": 17710 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3537, + "step": 17711 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4589, + "step": 17712 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 17713 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3911, + "step": 17714 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3707, + "step": 17715 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 17716 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.5334, + "step": 17717 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3632, + "step": 17718 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3867, + "step": 17719 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 17720 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4448, + "step": 17721 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4554, + "step": 17722 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4217, + "step": 17723 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4221, + "step": 17724 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3695, + "step": 17725 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.425, + "step": 17726 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3069, + "step": 17727 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3509, + "step": 17728 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3712, + "step": 17729 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 17730 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 17731 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3614, + "step": 17732 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.37, + "step": 17733 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4413, + "step": 17734 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 17735 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3812, + "step": 17736 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 17737 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4364, + "step": 17738 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4093, + "step": 17739 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4016, + "step": 17740 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4362, + "step": 17741 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 17742 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4051, + "step": 17743 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3508, + "step": 17744 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3821, + "step": 17745 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.4126, + "step": 17746 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3311, + "step": 17747 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3895, + "step": 17748 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3925, + "step": 17749 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.449, + "step": 17750 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 17751 + }, + { + "epoch": 1.96, + "learning_rate": 2e-05, + "loss": 0.371, + "step": 17752 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4692, + "step": 17753 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3423, + "step": 17754 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3792, + "step": 17755 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.382, + "step": 17756 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4279, + "step": 17757 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 17758 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 17759 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3778, + "step": 17760 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4021, + "step": 17761 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.399, + "step": 17762 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4114, + "step": 17763 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3965, + "step": 17764 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4124, + "step": 17765 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 17766 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 17767 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4698, + "step": 17768 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 17769 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4349, + "step": 17770 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3651, + "step": 17771 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 17772 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.422, + "step": 17773 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 17774 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3189, + "step": 17775 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4044, + "step": 17776 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3307, + "step": 17777 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.396, + "step": 17778 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.5017, + "step": 17779 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4571, + "step": 17780 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4444, + "step": 17781 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3545, + "step": 17782 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4162, + "step": 17783 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3666, + "step": 17784 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4857, + "step": 17785 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3229, + "step": 17786 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3715, + "step": 17787 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4657, + "step": 17788 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4489, + "step": 17789 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4309, + "step": 17790 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4377, + "step": 17791 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3024, + "step": 17792 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 17793 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4101, + "step": 17794 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4563, + "step": 17795 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 17796 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3883, + "step": 17797 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3823, + "step": 17798 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4024, + "step": 17799 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4549, + "step": 17800 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3958, + "step": 17801 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.385, + "step": 17802 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 17803 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 17804 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4168, + "step": 17805 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3515, + "step": 17806 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3648, + "step": 17807 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3692, + "step": 17808 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3824, + "step": 17809 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 17810 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 17811 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3747, + "step": 17812 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4175, + "step": 17813 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 17814 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 17815 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 17816 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.434, + "step": 17817 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4164, + "step": 17818 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 17819 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 17820 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3966, + "step": 17821 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4081, + "step": 17822 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.368, + "step": 17823 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4183, + "step": 17824 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3893, + "step": 17825 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4162, + "step": 17826 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4473, + "step": 17827 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4501, + "step": 17828 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4313, + "step": 17829 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4224, + "step": 17830 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4568, + "step": 17831 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4344, + "step": 17832 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.391, + "step": 17833 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3982, + "step": 17834 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4521, + "step": 17835 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 17836 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4308, + "step": 17837 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.3363, + "step": 17838 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4499, + "step": 17839 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 17840 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4187, + "step": 17841 + }, + { + "epoch": 1.97, + "learning_rate": 2e-05, + "loss": 0.4389, + "step": 17842 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4046, + "step": 17843 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4196, + "step": 17844 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4068, + "step": 17845 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4008, + "step": 17846 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.443, + "step": 17847 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 17848 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3868, + "step": 17849 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4129, + "step": 17850 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3358, + "step": 17851 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3433, + "step": 17852 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.392, + "step": 17853 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3887, + "step": 17854 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4022, + "step": 17855 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4651, + "step": 17856 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4269, + "step": 17857 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3878, + "step": 17858 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.5515, + "step": 17859 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4063, + "step": 17860 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3367, + "step": 17861 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3781, + "step": 17862 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4058, + "step": 17863 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3931, + "step": 17864 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3736, + "step": 17865 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4859, + "step": 17866 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3437, + "step": 17867 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3305, + "step": 17868 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4384, + "step": 17869 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 17870 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3304, + "step": 17871 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 17872 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3795, + "step": 17873 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3471, + "step": 17874 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3414, + "step": 17875 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3461, + "step": 17876 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3576, + "step": 17877 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4004, + "step": 17878 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3729, + "step": 17879 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 17880 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4102, + "step": 17881 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3656, + "step": 17882 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3588, + "step": 17883 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4321, + "step": 17884 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3904, + "step": 17885 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3604, + "step": 17886 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3625, + "step": 17887 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4382, + "step": 17888 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4337, + "step": 17889 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4066, + "step": 17890 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3671, + "step": 17891 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4099, + "step": 17892 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3859, + "step": 17893 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4083, + "step": 17894 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3514, + "step": 17895 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.429, + "step": 17896 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.374, + "step": 17897 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3724, + "step": 17898 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3725, + "step": 17899 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.399, + "step": 17900 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4285, + "step": 17901 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4259, + "step": 17902 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4682, + "step": 17903 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 17904 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3961, + "step": 17905 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3688, + "step": 17906 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3623, + "step": 17907 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4261, + "step": 17908 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4077, + "step": 17909 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.364, + "step": 17910 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4227, + "step": 17911 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3733, + "step": 17912 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3582, + "step": 17913 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3765, + "step": 17914 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3835, + "step": 17915 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3908, + "step": 17916 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 17917 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3439, + "step": 17918 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4825, + "step": 17919 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3905, + "step": 17920 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4372, + "step": 17921 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3295, + "step": 17922 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 17923 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3659, + "step": 17924 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3601, + "step": 17925 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3195, + "step": 17926 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.3894, + "step": 17927 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 17928 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.413, + "step": 17929 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.386, + "step": 17930 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4583, + "step": 17931 + }, + { + "epoch": 1.98, + "learning_rate": 2e-05, + "loss": 0.4398, + "step": 17932 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3995, + "step": 17933 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4268, + "step": 17934 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4216, + "step": 17935 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4218, + "step": 17936 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.439, + "step": 17937 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4123, + "step": 17938 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3437, + "step": 17939 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 17940 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3728, + "step": 17941 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4242, + "step": 17942 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3428, + "step": 17943 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.401, + "step": 17944 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4034, + "step": 17945 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4336, + "step": 17946 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3875, + "step": 17947 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3411, + "step": 17948 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3978, + "step": 17949 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4378, + "step": 17950 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 17951 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3669, + "step": 17952 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3723, + "step": 17953 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4595, + "step": 17954 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4239, + "step": 17955 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4275, + "step": 17956 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3637, + "step": 17957 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4166, + "step": 17958 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3772, + "step": 17959 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4566, + "step": 17960 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4255, + "step": 17961 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3831, + "step": 17962 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 17963 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 17964 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3447, + "step": 17965 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4366, + "step": 17966 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3497, + "step": 17967 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3417, + "step": 17968 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4388, + "step": 17969 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3125, + "step": 17970 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 17971 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4598, + "step": 17972 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.431, + "step": 17973 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 17974 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3791, + "step": 17975 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4041, + "step": 17976 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3752, + "step": 17977 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3992, + "step": 17978 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4314, + "step": 17979 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.379, + "step": 17980 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3323, + "step": 17981 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4065, + "step": 17982 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 17983 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3819, + "step": 17984 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3463, + "step": 17985 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.5107, + "step": 17986 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4079, + "step": 17987 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4287, + "step": 17988 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.414, + "step": 17989 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3694, + "step": 17990 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3986, + "step": 17991 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3914, + "step": 17992 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.5097, + "step": 17993 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3898, + "step": 17994 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3755, + "step": 17995 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4206, + "step": 17996 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4037, + "step": 17997 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4036, + "step": 17998 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4159, + "step": 17999 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 18000 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4229, + "step": 18001 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4381, + "step": 18002 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4627, + "step": 18003 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3962, + "step": 18004 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4373, + "step": 18005 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 18006 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 18007 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3816, + "step": 18008 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.395, + "step": 18009 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3955, + "step": 18010 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4133, + "step": 18011 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3589, + "step": 18012 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4832, + "step": 18013 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4097, + "step": 18014 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3876, + "step": 18015 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3357, + "step": 18016 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4232, + "step": 18017 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.381, + "step": 18018 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.4282, + "step": 18019 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3628, + "step": 18020 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.5026, + "step": 18021 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.3761, + "step": 18022 + }, + { + "epoch": 1.99, + "learning_rate": 2e-05, + "loss": 0.5603, + "step": 18023 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.437, + "step": 18024 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3738, + "step": 18025 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3527, + "step": 18026 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4265, + "step": 18027 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4252, + "step": 18028 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4192, + "step": 18029 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4018, + "step": 18030 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3987, + "step": 18031 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4015, + "step": 18032 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3575, + "step": 18033 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.436, + "step": 18034 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4505, + "step": 18035 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3972, + "step": 18036 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4091, + "step": 18037 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4534, + "step": 18038 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4062, + "step": 18039 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4462, + "step": 18040 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.353, + "step": 18041 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4422, + "step": 18042 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.344, + "step": 18043 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3362, + "step": 18044 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4147, + "step": 18045 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4132, + "step": 18046 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4702, + "step": 18047 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4025, + "step": 18048 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3822, + "step": 18049 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3813, + "step": 18050 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4303, + "step": 18051 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3937, + "step": 18052 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4522, + "step": 18053 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4393, + "step": 18054 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4392, + "step": 18055 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4214, + "step": 18056 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3936, + "step": 18057 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4966, + "step": 18058 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3998, + "step": 18059 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4394, + "step": 18060 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.4342, + "step": 18061 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3991, + "step": 18062 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3888, + "step": 18063 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3855, + "step": 18064 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3847, + "step": 18065 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3964, + "step": 18066 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3681, + "step": 18067 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3653, + "step": 18068 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3227, + "step": 18069 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 18070 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 18071 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 18072 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2877, + "step": 18073 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 18074 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2928, + "step": 18075 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 18076 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 18077 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 18078 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 18079 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 18080 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2762, + "step": 18081 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 18082 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 18083 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 18084 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 18085 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 18086 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.3277, + "step": 18087 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.1875, + "step": 18088 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.1821, + "step": 18089 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 18090 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 18091 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 18092 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 18093 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 18094 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 18095 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 18096 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 18097 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 18098 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2214, + "step": 18099 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 18100 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 18101 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2963, + "step": 18102 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2885, + "step": 18103 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 18104 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 18105 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 18106 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 18107 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.1982, + "step": 18108 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2608, + "step": 18109 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 18110 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.1947, + "step": 18111 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 18112 + }, + { + "epoch": 2.0, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 18113 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 18114 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 18115 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 18116 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 18117 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 18118 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 18119 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 18120 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 18121 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2124, + "step": 18122 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 18123 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2745, + "step": 18124 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1931, + "step": 18125 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 18126 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 18127 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2924, + "step": 18128 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 18129 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 18130 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 18131 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 18132 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 18133 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 18134 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2015, + "step": 18135 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 18136 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1889, + "step": 18137 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 18138 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 18139 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 18140 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 18141 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 18142 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2053, + "step": 18143 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 18144 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2056, + "step": 18145 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1983, + "step": 18146 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1664, + "step": 18147 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 18148 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 18149 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 18150 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1875, + "step": 18151 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 18152 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 18153 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1884, + "step": 18154 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1984, + "step": 18155 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 18156 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 18157 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2019, + "step": 18158 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 18159 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2056, + "step": 18160 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 18161 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 18162 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 18163 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 18164 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 18165 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 18166 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 18167 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 18168 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 18169 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 18170 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 18171 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 18172 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 18173 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1937, + "step": 18174 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 18175 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 18176 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 18177 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1974, + "step": 18178 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2009, + "step": 18179 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 18180 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 18181 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18182 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2141, + "step": 18183 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 18184 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 18185 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 18186 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 18187 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 18188 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 18189 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 18190 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 18191 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1944, + "step": 18192 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 18193 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 18194 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 18195 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 18196 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1999, + "step": 18197 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.1988, + "step": 18198 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 18199 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 18200 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 18201 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2841, + "step": 18202 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 18203 + }, + { + "epoch": 2.01, + "learning_rate": 2e-05, + "loss": 0.2054, + "step": 18204 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 18205 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 18206 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 18207 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 18208 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 18209 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 18210 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 18211 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 18212 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 18213 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 18214 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 18215 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2497, + "step": 18216 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 18217 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 18218 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 18219 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 18220 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2016, + "step": 18221 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 18222 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 18223 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 18224 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 18225 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 18226 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 18227 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 18228 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 18229 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 18230 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 18231 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 18232 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 18233 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 18234 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 18235 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 18236 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 18237 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 18238 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 18239 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 18240 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1822, + "step": 18241 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 18242 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 18243 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2067, + "step": 18244 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 18245 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.21, + "step": 18246 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 18247 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 18248 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2018, + "step": 18249 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 18250 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1961, + "step": 18251 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 18252 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1928, + "step": 18253 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 18254 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 18255 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 18256 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 18257 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 18258 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 18259 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 18260 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 18261 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 18262 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2062, + "step": 18263 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2838, + "step": 18264 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 18265 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 18266 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2969, + "step": 18267 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1959, + "step": 18268 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 18269 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 18270 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 18271 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1864, + "step": 18272 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1923, + "step": 18273 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 18274 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 18275 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2041, + "step": 18276 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 18277 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1941, + "step": 18278 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 18279 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2068, + "step": 18280 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 18281 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 18282 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 18283 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.1938, + "step": 18284 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2007, + "step": 18285 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 18286 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2058, + "step": 18287 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 18288 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 18289 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 18290 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 18291 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 18292 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 18293 + }, + { + "epoch": 2.02, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 18294 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 18295 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 18296 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 18297 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 18298 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 18299 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 18300 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 18301 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2078, + "step": 18302 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 18303 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 18304 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 18305 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 18306 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 18307 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.209, + "step": 18308 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 18309 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 18310 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 18311 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 18312 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 18313 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 18314 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2793, + "step": 18315 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 18316 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2281, + "step": 18317 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2106, + "step": 18318 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1965, + "step": 18319 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 18320 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 18321 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 18322 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 18323 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1988, + "step": 18324 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 18325 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 18326 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 18327 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 18328 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 18329 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1731, + "step": 18330 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2014, + "step": 18331 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 18332 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 18333 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 18334 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 18335 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 18336 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2039, + "step": 18337 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 18338 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1938, + "step": 18339 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 18340 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 18341 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 18342 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 18343 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 18344 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2077, + "step": 18345 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2099, + "step": 18346 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 18347 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 18348 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 18349 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 18350 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 18351 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 18352 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 18353 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 18354 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 18355 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 18356 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 18357 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 18358 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 18359 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 18360 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1797, + "step": 18361 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 18362 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 18363 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 18364 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 18365 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.1942, + "step": 18366 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 18367 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 18368 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 18369 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 18370 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 18371 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 18372 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 18373 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 18374 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 18375 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 18376 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 18377 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 18378 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 18379 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2891, + "step": 18380 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 18381 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 18382 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 18383 + }, + { + "epoch": 2.03, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 18384 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 18385 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.292, + "step": 18386 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 18387 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 18388 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 18389 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 18390 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2138, + "step": 18391 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 18392 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 18393 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 18394 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 18395 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2305, + "step": 18396 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 18397 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 18398 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 18399 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 18400 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 18401 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 18402 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 18403 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 18404 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 18405 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 18406 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 18407 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 18408 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 18409 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 18410 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 18411 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 18412 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 18413 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 18414 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 18415 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 18416 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 18417 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 18418 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 18419 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 18420 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 18421 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 18422 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 18423 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 18424 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 18425 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 18426 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 18427 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 18428 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 18429 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 18430 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 18431 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2004, + "step": 18432 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2174, + "step": 18433 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2009, + "step": 18434 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 18435 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.187, + "step": 18436 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2058, + "step": 18437 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 18438 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 18439 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 18440 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.1954, + "step": 18441 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 18442 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 18443 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 18444 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 18445 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2161, + "step": 18446 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 18447 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 18448 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 18449 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 18450 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 18451 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 18452 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 18453 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 18454 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 18455 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 18456 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2749, + "step": 18457 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 18458 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.1981, + "step": 18459 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 18460 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 18461 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 18462 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 18463 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 18464 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 18465 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 18466 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 18467 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.201, + "step": 18468 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 18469 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 18470 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 18471 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 18472 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 18473 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 18474 + }, + { + "epoch": 2.04, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 18475 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 18476 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 18477 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 18478 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18479 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 18480 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 18481 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 18482 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2989, + "step": 18483 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 18484 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 18485 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1793, + "step": 18486 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 18487 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 18488 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 18489 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 18490 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 18491 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 18492 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 18493 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 18494 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 18495 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 18496 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1758, + "step": 18497 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 18498 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 18499 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 18500 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 18501 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 18502 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 18503 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 18504 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1942, + "step": 18505 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 18506 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 18507 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 18508 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2614, + "step": 18509 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 18510 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2108, + "step": 18511 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 18512 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 18513 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 18514 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1996, + "step": 18515 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 18516 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 18517 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2018, + "step": 18518 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 18519 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 18520 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 18521 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 18522 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1698, + "step": 18523 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 18524 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 18525 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1746, + "step": 18526 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 18527 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 18528 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 18529 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2009, + "step": 18530 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 18531 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18532 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 18533 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 18534 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 18535 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 18536 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 18537 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2113, + "step": 18538 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 18539 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 18540 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 18541 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 18542 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 18543 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 18544 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 18545 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1989, + "step": 18546 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 18547 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18548 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 18549 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 18550 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 18551 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 18552 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 18553 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 18554 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 18555 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 18556 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1972, + "step": 18557 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 18558 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 18559 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1944, + "step": 18560 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2681, + "step": 18561 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 18562 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 18563 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 18564 + }, + { + "epoch": 2.05, + "learning_rate": 2e-05, + "loss": 0.1913, + "step": 18565 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2001, + "step": 18566 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 18567 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 18568 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 18569 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 18570 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 18571 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 18572 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 18573 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 18574 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2141, + "step": 18575 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 18576 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 18577 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1917, + "step": 18578 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 18579 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 18580 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 18581 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 18582 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 18583 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 18584 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2203, + "step": 18585 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 18586 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 18587 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 18588 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 18589 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1947, + "step": 18590 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 18591 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 18592 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 18593 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 18594 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 18595 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2031, + "step": 18596 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 18597 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 18598 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18599 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 18600 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 18601 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1865, + "step": 18602 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 18603 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 18604 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 18605 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 18606 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 18607 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 18608 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 18609 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2084, + "step": 18610 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 18611 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 18612 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 18613 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 18614 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 18615 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 18616 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 18617 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 18618 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 18619 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 18620 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1934, + "step": 18621 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 18622 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 18623 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 18624 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1957, + "step": 18625 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 18626 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1907, + "step": 18627 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2032, + "step": 18628 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 18629 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.1924, + "step": 18630 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.186, + "step": 18631 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 18632 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 18633 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 18634 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 18635 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 18636 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 18637 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 18638 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2798, + "step": 18639 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2073, + "step": 18640 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 18641 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 18642 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 18643 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 18644 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 18645 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 18646 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 18647 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2047, + "step": 18648 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 18649 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 18650 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 18651 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 18652 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 18653 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 18654 + }, + { + "epoch": 2.06, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 18655 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 18656 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 18657 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 18658 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 18659 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 18660 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 18661 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 18662 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 18663 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 18664 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 18665 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 18666 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 18667 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 18668 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 18669 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2031, + "step": 18670 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 18671 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1962, + "step": 18672 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 18673 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1972, + "step": 18674 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 18675 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 18676 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 18677 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 18678 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1987, + "step": 18679 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18680 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 18681 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 18682 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 18683 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 18684 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 18685 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 18686 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 18687 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 18688 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 18689 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 18690 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 18691 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 18692 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1881, + "step": 18693 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 18694 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 18695 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2878, + "step": 18696 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 18697 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2028, + "step": 18698 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 18699 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 18700 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1969, + "step": 18701 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 18702 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1995, + "step": 18703 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 18704 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 18705 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1999, + "step": 18706 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 18707 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1902, + "step": 18708 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1998, + "step": 18709 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 18710 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1987, + "step": 18711 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.1928, + "step": 18712 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 18713 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 18714 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 18715 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 18716 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 18717 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 18718 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 18719 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 18720 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 18721 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 18722 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 18723 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 18724 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 18725 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 18726 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 18727 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 18728 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 18729 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 18730 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 18731 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 18732 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 18733 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 18734 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 18735 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 18736 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 18737 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 18738 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 18739 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 18740 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2155, + "step": 18741 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2149, + "step": 18742 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 18743 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 18744 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 18745 + }, + { + "epoch": 2.07, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 18746 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 18747 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 18748 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 18749 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2054, + "step": 18750 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2018, + "step": 18751 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 18752 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 18753 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 18754 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 18755 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.1996, + "step": 18756 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 18757 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 18758 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.206, + "step": 18759 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2886, + "step": 18760 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 18761 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 18762 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 18763 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 18764 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 18765 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 18766 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 18767 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 18768 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 18769 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 18770 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 18771 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 18772 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2023, + "step": 18773 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 18774 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 18775 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 18776 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 18777 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 18778 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 18779 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 18780 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 18781 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 18782 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 18783 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 18784 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 18785 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 18786 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 18787 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 18788 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 18789 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 18790 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 18791 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 18792 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 18793 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2119, + "step": 18794 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 18795 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 18796 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 18797 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2681, + "step": 18798 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 18799 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 18800 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 18801 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.206, + "step": 18802 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 18803 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2519, + "step": 18804 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 18805 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 18806 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 18807 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 18808 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 18809 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 18810 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.1878, + "step": 18811 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 18812 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2585, + "step": 18813 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 18814 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 18815 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 18816 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 18817 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.1975, + "step": 18818 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 18819 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 18820 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 18821 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 18822 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 18823 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 18824 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2138, + "step": 18825 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.1998, + "step": 18826 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 18827 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 18828 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 18829 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 18830 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.3025, + "step": 18831 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 18832 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 18833 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 18834 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 18835 + }, + { + "epoch": 2.08, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 18836 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 18837 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 18838 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 18839 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 18840 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1647, + "step": 18841 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1875, + "step": 18842 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 18843 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 18844 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 18845 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 18846 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2108, + "step": 18847 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 18848 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 18849 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 18850 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 18851 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 18852 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 18853 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 18854 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1992, + "step": 18855 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1923, + "step": 18856 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 18857 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2086, + "step": 18858 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 18859 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 18860 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 18861 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 18862 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 18863 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 18864 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 18865 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 18866 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 18867 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 18868 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 18869 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2839, + "step": 18870 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1941, + "step": 18871 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 18872 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 18873 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 18874 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 18875 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 18876 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 18877 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 18878 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 18879 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2119, + "step": 18880 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 18881 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 18882 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 18883 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2119, + "step": 18884 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1934, + "step": 18885 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 18886 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.193, + "step": 18887 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 18888 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 18889 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 18890 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 18891 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 18892 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 18893 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1947, + "step": 18894 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 18895 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1963, + "step": 18896 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1898, + "step": 18897 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 18898 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 18899 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 18900 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 18901 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 18902 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 18903 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 18904 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2149, + "step": 18905 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 18906 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 18907 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 18908 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 18909 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 18910 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 18911 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 18912 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 18913 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 18914 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 18915 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 18916 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 18917 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 18918 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.1948, + "step": 18919 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 18920 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 18921 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2004, + "step": 18922 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 18923 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 18924 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 18925 + }, + { + "epoch": 2.09, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 18926 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2012, + "step": 18927 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 18928 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 18929 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1864, + "step": 18930 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 18931 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.207, + "step": 18932 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 18933 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1976, + "step": 18934 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 18935 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 18936 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1978, + "step": 18937 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 18938 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 18939 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 18940 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2037, + "step": 18941 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 18942 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2851, + "step": 18943 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 18944 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 18945 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 18946 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 18947 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.277, + "step": 18948 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1938, + "step": 18949 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 18950 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 18951 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 18952 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2027, + "step": 18953 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 18954 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 18955 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2054, + "step": 18956 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 18957 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 18958 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1856, + "step": 18959 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 18960 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1989, + "step": 18961 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 18962 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 18963 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2843, + "step": 18964 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 18965 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 18966 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 18967 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 18968 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 18969 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 18970 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 18971 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 18972 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 18973 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 18974 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 18975 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 18976 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 18977 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 18978 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 18979 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 18980 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2726, + "step": 18981 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 18982 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2743, + "step": 18983 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 18984 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 18985 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.176, + "step": 18986 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 18987 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 18988 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 18989 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2151, + "step": 18990 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 18991 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 18992 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2869, + "step": 18993 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1963, + "step": 18994 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 18995 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 18996 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 18997 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.189, + "step": 18998 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1952, + "step": 18999 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 19000 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 19001 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2029, + "step": 19002 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 19003 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 19004 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 19005 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 19006 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 19007 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 19008 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 19009 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 19010 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 19011 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 19012 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 19013 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 19014 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 19015 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 19016 + }, + { + "epoch": 2.1, + "learning_rate": 2e-05, + "loss": 0.1934, + "step": 19017 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 19018 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 19019 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.193, + "step": 19020 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 19021 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2782, + "step": 19022 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 19023 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 19024 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.203, + "step": 19025 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 19026 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 19027 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 19028 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 19029 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 19030 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 19031 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 19032 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 19033 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 19034 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 19035 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 19036 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 19037 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 19038 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 19039 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 19040 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2063, + "step": 19041 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1991, + "step": 19042 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 19043 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 19044 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 19045 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1864, + "step": 19046 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 19047 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 19048 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 19049 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2067, + "step": 19050 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2016, + "step": 19051 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 19052 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 19053 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 19054 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 19055 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 19056 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 19057 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 19058 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 19059 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 19060 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 19061 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 19062 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 19063 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 19064 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 19065 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 19066 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 19067 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 19068 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 19069 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1942, + "step": 19070 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 19071 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 19072 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1932, + "step": 19073 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 19074 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2787, + "step": 19075 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2019, + "step": 19076 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 19077 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 19078 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1819, + "step": 19079 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 19080 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2015, + "step": 19081 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 19082 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 19083 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 19084 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 19085 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.314, + "step": 19086 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 19087 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 19088 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 19089 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 19090 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 19091 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 19092 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 19093 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 19094 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 19095 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 19096 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2781, + "step": 19097 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2706, + "step": 19098 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 19099 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 19100 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 19101 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 19102 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 19103 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.1884, + "step": 19104 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2657, + "step": 19105 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 19106 + }, + { + "epoch": 2.11, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 19107 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2681, + "step": 19108 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 19109 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2886, + "step": 19110 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1949, + "step": 19111 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1948, + "step": 19112 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2066, + "step": 19113 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 19114 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 19115 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 19116 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 19117 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 19118 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1959, + "step": 19119 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 19120 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 19121 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 19122 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2073, + "step": 19123 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.21, + "step": 19124 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 19125 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 19126 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 19127 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 19128 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2807, + "step": 19129 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2892, + "step": 19130 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 19131 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1879, + "step": 19132 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 19133 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 19134 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 19135 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.194, + "step": 19136 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 19137 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 19138 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2707, + "step": 19139 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 19140 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 19141 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 19142 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 19143 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2094, + "step": 19144 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 19145 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.1798, + "step": 19146 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 19147 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 19148 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 19149 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 19150 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2084, + "step": 19151 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2181, + "step": 19152 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 19153 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 19154 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 19155 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 19156 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 19157 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 19158 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 19159 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 19160 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 19161 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 19162 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 19163 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 19164 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 19165 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 19166 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 19167 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 19168 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 19169 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 19170 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 19171 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 19172 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 19173 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 19174 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 19175 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 19176 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 19177 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 19178 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 19179 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.282, + "step": 19180 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 19181 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 19182 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 19183 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 19184 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 19185 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 19186 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 19187 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 19188 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2784, + "step": 19189 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.297, + "step": 19190 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 19191 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 19192 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2021, + "step": 19193 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 19194 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 19195 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 19196 + }, + { + "epoch": 2.12, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 19197 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1992, + "step": 19198 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 19199 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 19200 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1871, + "step": 19201 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 19202 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1967, + "step": 19203 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 19204 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 19205 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 19206 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 19207 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1765, + "step": 19208 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 19209 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 19210 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 19211 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 19212 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 19213 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 19214 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 19215 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.198, + "step": 19216 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2024, + "step": 19217 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 19218 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 19219 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 19220 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1967, + "step": 19221 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 19222 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 19223 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 19224 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 19225 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 19226 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2035, + "step": 19227 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 19228 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 19229 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 19230 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 19231 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 19232 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 19233 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 19234 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 19235 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 19236 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 19237 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 19238 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 19239 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 19240 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 19241 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 19242 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 19243 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 19244 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2047, + "step": 19245 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 19246 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 19247 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 19248 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 19249 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 19250 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 19251 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2952, + "step": 19252 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 19253 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 19254 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 19255 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.31, + "step": 19256 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 19257 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 19258 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 19259 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 19260 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 19261 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 19262 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 19263 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 19264 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 19265 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 19266 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 19267 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2151, + "step": 19268 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 19269 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.3027, + "step": 19270 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1706, + "step": 19271 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 19272 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1981, + "step": 19273 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2068, + "step": 19274 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 19275 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 19276 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 19277 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 19278 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 19279 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 19280 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 19281 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 19282 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 19283 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 19284 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.1953, + "step": 19285 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 19286 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 19287 + }, + { + "epoch": 2.13, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 19288 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.3118, + "step": 19289 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 19290 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 19291 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 19292 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2778, + "step": 19293 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 19294 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2281, + "step": 19295 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 19296 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 19297 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 19298 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 19299 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 19300 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 19301 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 19302 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 19303 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 19304 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 19305 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 19306 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2058, + "step": 19307 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 19308 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2788, + "step": 19309 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 19310 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 19311 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 19312 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 19313 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 19314 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 19315 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 19316 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 19317 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 19318 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1819, + "step": 19319 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 19320 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 19321 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 19322 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 19323 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1877, + "step": 19324 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 19325 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 19326 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 19327 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 19328 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 19329 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 19330 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2781, + "step": 19331 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 19332 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 19333 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 19334 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.3066, + "step": 19335 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 19336 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 19337 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 19338 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 19339 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 19340 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 19341 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 19342 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 19343 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 19344 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2932, + "step": 19345 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 19346 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2083, + "step": 19347 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2039, + "step": 19348 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 19349 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.207, + "step": 19350 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 19351 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 19352 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 19353 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 19354 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 19355 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 19356 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1991, + "step": 19357 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 19358 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1862, + "step": 19359 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 19360 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 19361 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 19362 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 19363 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 19364 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 19365 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2036, + "step": 19366 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 19367 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 19368 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 19369 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 19370 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 19371 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 19372 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 19373 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 19374 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 19375 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2027, + "step": 19376 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.1888, + "step": 19377 + }, + { + "epoch": 2.14, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 19378 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 19379 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 19380 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2008, + "step": 19381 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1871, + "step": 19382 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 19383 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 19384 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 19385 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 19386 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2094, + "step": 19387 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 19388 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 19389 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 19390 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 19391 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 19392 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 19393 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 19394 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 19395 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1874, + "step": 19396 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 19397 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 19398 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 19399 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 19400 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 19401 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 19402 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 19403 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 19404 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 19405 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 19406 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 19407 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 19408 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 19409 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1997, + "step": 19410 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 19411 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 19412 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 19413 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 19414 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.3091, + "step": 19415 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 19416 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 19417 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 19418 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 19419 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 19420 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 19421 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 19422 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 19423 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 19424 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 19425 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 19426 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 19427 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 19428 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 19429 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 19430 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 19431 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 19432 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 19433 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 19434 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 19435 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 19436 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 19437 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2743, + "step": 19438 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1866, + "step": 19439 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 19440 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 19441 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 19442 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 19443 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 19444 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 19445 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 19446 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 19447 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 19448 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 19449 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1832, + "step": 19450 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 19451 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 19452 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 19453 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 19454 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 19455 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 19456 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.188, + "step": 19457 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2775, + "step": 19458 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 19459 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 19460 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 19461 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 19462 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 19463 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 19464 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 19465 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 19466 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.1979, + "step": 19467 + }, + { + "epoch": 2.15, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 19468 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 19469 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1954, + "step": 19470 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 19471 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 19472 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 19473 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 19474 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 19475 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 19476 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 19477 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 19478 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1986, + "step": 19479 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.187, + "step": 19480 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 19481 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 19482 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 19483 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 19484 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 19485 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 19486 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 19487 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2767, + "step": 19488 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 19489 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 19490 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 19491 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 19492 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2155, + "step": 19493 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 19494 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 19495 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 19496 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 19497 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 19498 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 19499 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 19500 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 19501 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2867, + "step": 19502 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.289, + "step": 19503 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 19504 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 19505 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 19506 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 19507 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 19508 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 19509 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 19510 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 19511 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1914, + "step": 19512 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 19513 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1999, + "step": 19514 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 19515 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 19516 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 19517 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 19518 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 19519 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 19520 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2078, + "step": 19521 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2775, + "step": 19522 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 19523 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 19524 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 19525 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1923, + "step": 19526 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 19527 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 19528 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 19529 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 19530 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 19531 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 19532 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 19533 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2123, + "step": 19534 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2217, + "step": 19535 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 19536 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 19537 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 19538 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 19539 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 19540 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 19541 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 19542 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 19543 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 19544 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 19545 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 19546 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 19547 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 19548 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 19549 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1997, + "step": 19550 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 19551 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1988, + "step": 19552 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 19553 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 19554 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 19555 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 19556 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 19557 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 19558 + }, + { + "epoch": 2.16, + "learning_rate": 2e-05, + "loss": 0.1969, + "step": 19559 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 19560 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 19561 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 19562 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 19563 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 19564 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 19565 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 19566 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 19567 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 19568 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 19569 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 19570 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 19571 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 19572 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 19573 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 19574 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 19575 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 19576 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 19577 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 19578 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 19579 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 19580 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 19581 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 19582 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 19583 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 19584 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 19585 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 19586 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 19587 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2046, + "step": 19588 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 19589 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 19590 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 19591 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 19592 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 19593 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 19594 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 19595 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 19596 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.3212, + "step": 19597 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 19598 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 19599 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 19600 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 19601 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2214, + "step": 19602 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 19603 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2827, + "step": 19604 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 19605 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.1962, + "step": 19606 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 19607 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 19608 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 19609 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 19610 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 19611 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 19612 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 19613 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 19614 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 19615 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 19616 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 19617 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 19618 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 19619 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 19620 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 19621 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 19622 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 19623 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 19624 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 19625 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 19626 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 19627 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 19628 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 19629 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2868, + "step": 19630 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 19631 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 19632 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2138, + "step": 19633 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 19634 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 19635 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 19636 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 19637 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 19638 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2671, + "step": 19639 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 19640 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 19641 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 19642 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 19643 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 19644 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 19645 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 19646 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 19647 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 19648 + }, + { + "epoch": 2.17, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 19649 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2032, + "step": 19650 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 19651 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 19652 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 19653 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 19654 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.1913, + "step": 19655 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 19656 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 19657 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 19658 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 19659 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 19660 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2714, + "step": 19661 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 19662 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 19663 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 19664 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 19665 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 19666 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 19667 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 19668 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 19669 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 19670 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 19671 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 19672 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2043, + "step": 19673 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 19674 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2951, + "step": 19675 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 19676 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 19677 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 19678 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 19679 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 19680 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 19681 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 19682 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 19683 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 19684 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 19685 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 19686 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2021, + "step": 19687 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 19688 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 19689 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 19690 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2018, + "step": 19691 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 19692 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 19693 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 19694 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 19695 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 19696 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 19697 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 19698 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 19699 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 19700 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 19701 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 19702 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 19703 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 19704 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2003, + "step": 19705 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 19706 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 19707 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 19708 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 19709 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 19710 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 19711 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 19712 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 19713 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 19714 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.218, + "step": 19715 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 19716 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 19717 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 19718 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 19719 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 19720 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 19721 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 19722 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.1952, + "step": 19723 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 19724 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 19725 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 19726 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 19727 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2873, + "step": 19728 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 19729 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 19730 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 19731 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 19732 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 19733 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 19734 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 19735 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 19736 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 19737 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2128, + "step": 19738 + }, + { + "epoch": 2.18, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 19739 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 19740 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 19741 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.1979, + "step": 19742 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 19743 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 19744 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 19745 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 19746 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2091, + "step": 19747 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 19748 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 19749 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 19750 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 19751 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 19752 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 19753 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 19754 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2, + "step": 19755 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.195, + "step": 19756 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 19757 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 19758 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 19759 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 19760 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2928, + "step": 19761 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 19762 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2986, + "step": 19763 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 19764 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 19765 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 19766 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.1878, + "step": 19767 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 19768 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 19769 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 19770 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 19771 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 19772 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 19773 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 19774 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2123, + "step": 19775 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 19776 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 19777 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 19778 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 19779 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2073, + "step": 19780 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 19781 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 19782 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 19783 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 19784 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.1932, + "step": 19785 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 19786 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.202, + "step": 19787 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.1999, + "step": 19788 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 19789 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 19790 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 19791 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2083, + "step": 19792 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 19793 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 19794 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 19795 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2125, + "step": 19796 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 19797 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 19798 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 19799 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2848, + "step": 19800 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 19801 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 19802 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 19803 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 19804 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 19805 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2029, + "step": 19806 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 19807 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 19808 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 19809 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 19810 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 19811 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 19812 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 19813 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 19814 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 19815 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 19816 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 19817 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2051, + "step": 19818 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 19819 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 19820 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 19821 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 19822 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2128, + "step": 19823 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 19824 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 19825 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 19826 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 19827 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2125, + "step": 19828 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 19829 + }, + { + "epoch": 2.19, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 19830 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 19831 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2519, + "step": 19832 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 19833 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 19834 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1929, + "step": 19835 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 19836 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 19837 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 19838 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 19839 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 19840 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 19841 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 19842 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 19843 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 19844 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 19845 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 19846 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 19847 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2099, + "step": 19848 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 19849 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 19850 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 19851 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1895, + "step": 19852 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 19853 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 19854 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 19855 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 19856 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1965, + "step": 19857 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1987, + "step": 19858 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 19859 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 19860 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 19861 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1885, + "step": 19862 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 19863 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 19864 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 19865 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 19866 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 19867 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 19868 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 19869 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 19870 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 19871 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 19872 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 19873 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2091, + "step": 19874 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 19875 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 19876 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 19877 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 19878 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 19879 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 19880 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 19881 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 19882 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 19883 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 19884 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 19885 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 19886 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 19887 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 19888 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 19889 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 19890 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 19891 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1975, + "step": 19892 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2066, + "step": 19893 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 19894 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 19895 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 19896 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 19897 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 19898 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 19899 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 19900 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1947, + "step": 19901 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 19902 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 19903 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 19904 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 19905 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 19906 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 19907 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 19908 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 19909 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 19910 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 19911 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 19912 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 19913 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.1964, + "step": 19914 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 19915 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 19916 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 19917 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 19918 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 19919 + }, + { + "epoch": 2.2, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 19920 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 19921 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 19922 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 19923 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 19924 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 19925 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.1967, + "step": 19926 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 19927 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 19928 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 19929 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 19930 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 19931 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 19932 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 19933 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 19934 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 19935 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 19936 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 19937 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 19938 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 19939 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 19940 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 19941 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 19942 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 19943 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 19944 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 19945 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 19946 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 19947 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 19948 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 19949 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 19950 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 19951 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 19952 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 19953 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2078, + "step": 19954 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 19955 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 19956 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 19957 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 19958 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2008, + "step": 19959 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 19960 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 19961 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2068, + "step": 19962 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 19963 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 19964 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 19965 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2872, + "step": 19966 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 19967 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 19968 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 19969 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 19970 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 19971 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 19972 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 19973 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 19974 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 19975 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 19976 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 19977 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 19978 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 19979 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2054, + "step": 19980 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 19981 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2031, + "step": 19982 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.1922, + "step": 19983 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 19984 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 19985 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 19986 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2809, + "step": 19987 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 19988 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 19989 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 19990 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 19991 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 19992 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2982, + "step": 19993 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 19994 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 19995 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 19996 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 19997 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2608, + "step": 19998 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 19999 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 20000 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.1947, + "step": 20001 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 20002 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.206, + "step": 20003 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 20004 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2847, + "step": 20005 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 20006 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 20007 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 20008 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 20009 + }, + { + "epoch": 2.21, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 20010 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 20011 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 20012 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 20013 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 20014 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 20015 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 20016 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 20017 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 20018 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 20019 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 20020 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 20021 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 20022 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 20023 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 20024 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2748, + "step": 20025 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 20026 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 20027 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 20028 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 20029 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 20030 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 20031 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2881, + "step": 20032 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 20033 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 20034 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 20035 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 20036 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 20037 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 20038 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1944, + "step": 20039 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 20040 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2977, + "step": 20041 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1991, + "step": 20042 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 20043 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 20044 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 20045 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 20046 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 20047 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 20048 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 20049 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2111, + "step": 20050 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1959, + "step": 20051 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 20052 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1819, + "step": 20053 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 20054 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 20055 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 20056 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 20057 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 20058 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 20059 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 20060 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 20061 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2812, + "step": 20062 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 20063 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 20064 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.199, + "step": 20065 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2149, + "step": 20066 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.273, + "step": 20067 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1992, + "step": 20068 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 20069 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 20070 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 20071 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 20072 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 20073 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2851, + "step": 20074 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 20075 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 20076 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 20077 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2099, + "step": 20078 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2497, + "step": 20079 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 20080 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 20081 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 20082 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 20083 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 20084 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 20085 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 20086 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 20087 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 20088 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 20089 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 20090 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 20091 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 20092 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 20093 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 20094 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.1975, + "step": 20095 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 20096 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 20097 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 20098 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 20099 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2113, + "step": 20100 + }, + { + "epoch": 2.22, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 20101 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 20102 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.1959, + "step": 20103 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 20104 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 20105 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 20106 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 20107 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.3023, + "step": 20108 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 20109 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.1932, + "step": 20110 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 20111 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 20112 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 20113 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 20114 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 20115 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 20116 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 20117 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 20118 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2214, + "step": 20119 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 20120 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 20121 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2497, + "step": 20122 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 20123 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 20124 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 20125 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 20126 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 20127 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 20128 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 20129 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 20130 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.1989, + "step": 20131 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 20132 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 20133 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 20134 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 20135 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 20136 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 20137 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 20138 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.3155, + "step": 20139 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 20140 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 20141 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 20142 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.1923, + "step": 20143 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 20144 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 20145 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 20146 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 20147 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 20148 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 20149 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 20150 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 20151 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 20152 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 20153 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 20154 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 20155 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 20156 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 20157 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2128, + "step": 20158 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2633, + "step": 20159 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 20160 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 20161 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 20162 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 20163 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 20164 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 20165 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 20166 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2047, + "step": 20167 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 20168 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 20169 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 20170 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 20171 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 20172 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2916, + "step": 20173 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 20174 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 20175 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 20176 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2868, + "step": 20177 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 20178 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 20179 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 20180 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 20181 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 20182 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.1936, + "step": 20183 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 20184 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 20185 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 20186 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 20187 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2005, + "step": 20188 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 20189 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 20190 + }, + { + "epoch": 2.23, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 20191 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2871, + "step": 20192 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 20193 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.1935, + "step": 20194 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 20195 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 20196 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 20197 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 20198 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 20199 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 20200 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 20201 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.209, + "step": 20202 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 20203 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 20204 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 20205 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2821, + "step": 20206 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 20207 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 20208 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 20209 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 20210 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2615, + "step": 20211 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 20212 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 20213 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 20214 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 20215 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2027, + "step": 20216 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 20217 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 20218 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 20219 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 20220 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 20221 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 20222 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 20223 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 20224 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 20225 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 20226 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 20227 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 20228 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 20229 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 20230 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2002, + "step": 20231 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2837, + "step": 20232 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 20233 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 20234 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 20235 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 20236 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 20237 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 20238 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 20239 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 20240 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 20241 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.1985, + "step": 20242 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 20243 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 20244 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 20245 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 20246 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 20247 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 20248 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 20249 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 20250 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 20251 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2032, + "step": 20252 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 20253 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 20254 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 20255 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.206, + "step": 20256 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 20257 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 20258 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 20259 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 20260 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 20261 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 20262 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 20263 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 20264 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 20265 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 20266 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 20267 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 20268 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 20269 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 20270 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 20271 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 20272 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 20273 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 20274 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 20275 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 20276 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 20277 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2859, + "step": 20278 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.1935, + "step": 20279 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 20280 + }, + { + "epoch": 2.24, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 20281 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 20282 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 20283 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 20284 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 20285 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 20286 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 20287 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 20288 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2305, + "step": 20289 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 20290 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 20291 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 20292 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.1894, + "step": 20293 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 20294 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 20295 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 20296 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 20297 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 20298 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 20299 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 20300 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 20301 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 20302 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 20303 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 20304 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 20305 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 20306 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 20307 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 20308 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 20309 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 20310 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 20311 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 20312 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 20313 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 20314 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 20315 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 20316 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 20317 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 20318 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 20319 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 20320 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 20321 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2772, + "step": 20322 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 20323 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 20324 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 20325 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 20326 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 20327 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 20328 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 20329 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 20330 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 20331 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 20332 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 20333 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 20334 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 20335 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 20336 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 20337 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 20338 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 20339 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 20340 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2825, + "step": 20341 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2003, + "step": 20342 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 20343 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 20344 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 20345 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 20346 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 20347 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 20348 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 20349 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 20350 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 20351 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2852, + "step": 20352 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 20353 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 20354 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 20355 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 20356 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 20357 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 20358 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2746, + "step": 20359 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2106, + "step": 20360 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 20361 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 20362 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 20363 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 20364 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 20365 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 20366 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 20367 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 20368 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 20369 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 20370 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 20371 + }, + { + "epoch": 2.25, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 20372 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 20373 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 20374 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 20375 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 20376 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 20377 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 20378 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2721, + "step": 20379 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 20380 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.1913, + "step": 20381 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 20382 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 20383 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 20384 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 20385 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 20386 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 20387 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.209, + "step": 20388 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 20389 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 20390 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 20391 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 20392 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 20393 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 20394 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 20395 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 20396 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 20397 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 20398 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 20399 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 20400 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 20401 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2149, + "step": 20402 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 20403 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 20404 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 20405 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2839, + "step": 20406 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 20407 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 20408 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 20409 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 20410 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 20411 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 20412 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 20413 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 20414 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 20415 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 20416 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 20417 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 20418 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 20419 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 20420 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 20421 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 20422 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 20423 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 20424 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2771, + "step": 20425 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 20426 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 20427 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 20428 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.1931, + "step": 20429 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 20430 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2804, + "step": 20431 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 20432 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 20433 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 20434 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 20435 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 20436 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 20437 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 20438 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 20439 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 20440 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 20441 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 20442 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 20443 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 20444 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2017, + "step": 20445 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 20446 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 20447 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 20448 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 20449 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 20450 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 20451 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 20452 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 20453 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2024, + "step": 20454 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 20455 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 20456 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.1914, + "step": 20457 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 20458 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 20459 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 20460 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 20461 + }, + { + "epoch": 2.26, + "learning_rate": 2e-05, + "loss": 0.2086, + "step": 20462 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 20463 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 20464 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 20465 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 20466 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 20467 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 20468 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2726, + "step": 20469 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2613, + "step": 20470 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 20471 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 20472 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 20473 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 20474 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 20475 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 20476 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.1922, + "step": 20477 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 20478 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 20479 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 20480 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 20481 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 20482 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.3081, + "step": 20483 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 20484 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 20485 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 20486 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2138, + "step": 20487 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 20488 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 20489 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.201, + "step": 20490 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 20491 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 20492 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 20493 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 20494 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 20495 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 20496 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 20497 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 20498 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 20499 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 20500 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2151, + "step": 20501 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 20502 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 20503 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 20504 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 20505 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 20506 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 20507 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 20508 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 20509 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 20510 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 20511 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 20512 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 20513 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.1885, + "step": 20514 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2174, + "step": 20515 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 20516 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 20517 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2106, + "step": 20518 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 20519 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 20520 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 20521 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 20522 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2777, + "step": 20523 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 20524 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 20525 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 20526 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 20527 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 20528 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 20529 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 20530 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 20531 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 20532 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 20533 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 20534 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 20535 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 20536 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 20537 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 20538 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 20539 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 20540 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 20541 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2738, + "step": 20542 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 20543 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.209, + "step": 20544 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 20545 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 20546 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2077, + "step": 20547 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 20548 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2812, + "step": 20549 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.1999, + "step": 20550 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 20551 + }, + { + "epoch": 2.27, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 20552 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 20553 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2749, + "step": 20554 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 20555 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2052, + "step": 20556 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 20557 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.284, + "step": 20558 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 20559 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2024, + "step": 20560 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.1977, + "step": 20561 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 20562 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 20563 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 20564 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 20565 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 20566 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 20567 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 20568 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 20569 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 20570 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 20571 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 20572 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 20573 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 20574 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.1958, + "step": 20575 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 20576 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 20577 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.301, + "step": 20578 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.1966, + "step": 20579 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 20580 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 20581 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 20582 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2083, + "step": 20583 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 20584 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 20585 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 20586 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 20587 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 20588 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 20589 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 20590 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 20591 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 20592 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 20593 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 20594 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 20595 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 20596 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2067, + "step": 20597 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 20598 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 20599 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 20600 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 20601 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 20602 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 20603 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 20604 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 20605 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 20606 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 20607 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 20608 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 20609 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 20610 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 20611 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 20612 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 20613 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 20614 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 20615 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 20616 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 20617 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 20618 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 20619 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 20620 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 20621 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 20622 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 20623 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 20624 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 20625 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 20626 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 20627 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 20628 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 20629 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 20630 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 20631 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 20632 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 20633 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2657, + "step": 20634 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 20635 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 20636 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 20637 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2765, + "step": 20638 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 20639 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 20640 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 20641 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.3577, + "step": 20642 + }, + { + "epoch": 2.28, + "learning_rate": 2e-05, + "loss": 0.3086, + "step": 20643 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 20644 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 20645 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 20646 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 20647 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 20648 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 20649 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2782, + "step": 20650 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 20651 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 20652 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 20653 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 20654 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 20655 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 20656 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 20657 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 20658 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 20659 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 20660 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.3268, + "step": 20661 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 20662 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 20663 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 20664 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 20665 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 20666 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 20667 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 20668 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 20669 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 20670 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 20671 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 20672 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 20673 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 20674 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 20675 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 20676 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 20677 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 20678 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 20679 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.3562, + "step": 20680 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 20681 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 20682 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 20683 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 20684 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 20685 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 20686 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 20687 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 20688 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 20689 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 20690 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 20691 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 20692 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 20693 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 20694 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 20695 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 20696 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 20697 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 20698 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 20699 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 20700 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2759, + "step": 20701 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 20702 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 20703 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 20704 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 20705 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 20706 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 20707 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 20708 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2073, + "step": 20709 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 20710 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 20711 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 20712 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 20713 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 20714 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 20715 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 20716 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 20717 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 20718 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2703, + "step": 20719 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 20720 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 20721 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 20722 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 20723 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 20724 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 20725 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 20726 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 20727 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2914, + "step": 20728 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 20729 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 20730 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 20731 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 20732 + }, + { + "epoch": 2.29, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 20733 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 20734 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 20735 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 20736 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 20737 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 20738 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 20739 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 20740 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 20741 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 20742 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 20743 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2693, + "step": 20744 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 20745 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 20746 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 20747 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 20748 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 20749 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 20750 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 20751 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2035, + "step": 20752 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 20753 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 20754 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 20755 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 20756 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 20757 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 20758 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 20759 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 20760 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 20761 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2203, + "step": 20762 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 20763 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 20764 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 20765 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 20766 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 20767 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 20768 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 20769 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 20770 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 20771 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 20772 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 20773 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 20774 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 20775 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2761, + "step": 20776 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 20777 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 20778 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 20779 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 20780 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 20781 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 20782 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 20783 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 20784 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2913, + "step": 20785 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 20786 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 20787 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 20788 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 20789 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 20790 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 20791 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2125, + "step": 20792 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 20793 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 20794 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 20795 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 20796 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 20797 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 20798 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 20799 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2768, + "step": 20800 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 20801 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 20802 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 20803 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 20804 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 20805 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 20806 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 20807 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 20808 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 20809 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 20810 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 20811 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 20812 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 20813 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 20814 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 20815 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 20816 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.261, + "step": 20817 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 20818 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 20819 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 20820 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 20821 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2083, + "step": 20822 + }, + { + "epoch": 2.3, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 20823 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 20824 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 20825 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 20826 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 20827 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.1941, + "step": 20828 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2884, + "step": 20829 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 20830 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 20831 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2125, + "step": 20832 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2065, + "step": 20833 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2749, + "step": 20834 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 20835 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 20836 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 20837 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 20838 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2004, + "step": 20839 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 20840 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 20841 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 20842 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 20843 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 20844 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 20845 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 20846 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 20847 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2099, + "step": 20848 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 20849 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 20850 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 20851 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 20852 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 20853 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 20854 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 20855 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 20856 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 20857 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 20858 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 20859 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 20860 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2062, + "step": 20861 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 20862 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 20863 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 20864 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 20865 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 20866 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 20867 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 20868 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 20869 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 20870 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2931, + "step": 20871 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 20872 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 20873 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 20874 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 20875 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 20876 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 20877 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2723, + "step": 20878 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 20879 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 20880 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 20881 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.282, + "step": 20882 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 20883 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 20884 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 20885 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 20886 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 20887 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 20888 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 20889 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 20890 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 20891 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 20892 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 20893 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 20894 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 20895 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.1946, + "step": 20896 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 20897 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 20898 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2141, + "step": 20899 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 20900 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2086, + "step": 20901 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2888, + "step": 20902 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 20903 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 20904 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 20905 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 20906 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 20907 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 20908 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 20909 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 20910 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 20911 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 20912 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.2084, + "step": 20913 + }, + { + "epoch": 2.31, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 20914 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 20915 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 20916 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 20917 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 20918 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.1989, + "step": 20919 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 20920 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 20921 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 20922 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 20923 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 20924 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 20925 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 20926 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 20927 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2931, + "step": 20928 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 20929 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 20930 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 20931 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 20932 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 20933 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 20934 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 20935 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 20936 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 20937 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2813, + "step": 20938 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 20939 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 20940 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2028, + "step": 20941 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 20942 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 20943 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 20944 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2084, + "step": 20945 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.1961, + "step": 20946 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.3001, + "step": 20947 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 20948 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 20949 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 20950 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 20951 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.3054, + "step": 20952 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 20953 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.1996, + "step": 20954 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 20955 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 20956 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 20957 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 20958 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 20959 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 20960 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 20961 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.3122, + "step": 20962 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 20963 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 20964 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 20965 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 20966 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 20967 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 20968 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 20969 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.1919, + "step": 20970 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 20971 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 20972 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 20973 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 20974 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 20975 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 20976 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 20977 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 20978 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 20979 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 20980 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 20981 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.3066, + "step": 20982 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 20983 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 20984 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 20985 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2814, + "step": 20986 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 20987 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 20988 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2021, + "step": 20989 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 20990 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 20991 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 20992 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 20993 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2677, + "step": 20994 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 20995 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 20996 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 20997 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 20998 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 20999 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 21000 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 21001 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 21002 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 21003 + }, + { + "epoch": 2.32, + "learning_rate": 2e-05, + "loss": 0.301, + "step": 21004 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 21005 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.3084, + "step": 21006 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 21007 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 21008 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 21009 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 21010 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.19, + "step": 21011 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 21012 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 21013 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 21014 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 21015 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 21016 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 21017 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2798, + "step": 21018 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 21019 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 21020 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 21021 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 21022 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2936, + "step": 21023 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 21024 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 21025 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 21026 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 21027 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 21028 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 21029 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 21030 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 21031 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 21032 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 21033 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2817, + "step": 21034 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 21035 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 21036 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 21037 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 21038 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 21039 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 21040 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 21041 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 21042 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 21043 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 21044 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 21045 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 21046 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 21047 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 21048 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.325, + "step": 21049 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2161, + "step": 21050 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 21051 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 21052 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 21053 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2043, + "step": 21054 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 21055 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 21056 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 21057 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 21058 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 21059 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 21060 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21061 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 21062 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.274, + "step": 21063 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2768, + "step": 21064 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 21065 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 21066 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 21067 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 21068 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 21069 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2898, + "step": 21070 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 21071 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 21072 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 21073 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 21074 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 21075 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 21076 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 21077 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2094, + "step": 21078 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 21079 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.3021, + "step": 21080 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 21081 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2, + "step": 21082 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.1884, + "step": 21083 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 21084 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 21085 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 21086 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 21087 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 21088 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 21089 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2907, + "step": 21090 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 21091 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 21092 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 21093 + }, + { + "epoch": 2.33, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 21094 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 21095 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.1784, + "step": 21096 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 21097 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 21098 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 21099 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 21100 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 21101 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 21102 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21103 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2047, + "step": 21104 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 21105 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 21106 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 21107 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 21108 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 21109 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 21110 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 21111 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 21112 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 21113 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 21114 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 21115 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 21116 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 21117 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 21118 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 21119 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.1971, + "step": 21120 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 21121 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 21122 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2124, + "step": 21123 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 21124 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21125 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 21126 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 21127 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2792, + "step": 21128 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 21129 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 21130 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 21131 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.287, + "step": 21132 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 21133 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 21134 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 21135 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 21136 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2032, + "step": 21137 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 21138 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 21139 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 21140 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 21141 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 21142 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 21143 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 21144 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 21145 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2987, + "step": 21146 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 21147 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2024, + "step": 21148 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 21149 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 21150 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 21151 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 21152 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.1925, + "step": 21153 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 21154 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 21155 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2752, + "step": 21156 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 21157 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 21158 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.3269, + "step": 21159 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 21160 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 21161 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 21162 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 21163 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 21164 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 21165 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 21166 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 21167 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2001, + "step": 21168 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2675, + "step": 21169 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 21170 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 21171 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 21172 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 21173 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 21174 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 21175 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 21176 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21177 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 21178 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 21179 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 21180 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 21181 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 21182 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 21183 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 21184 + }, + { + "epoch": 2.34, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 21185 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 21186 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 21187 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 21188 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 21189 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 21190 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 21191 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 21192 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 21193 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 21194 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2099, + "step": 21195 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 21196 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 21197 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 21198 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 21199 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 21200 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 21201 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 21202 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 21203 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.3034, + "step": 21204 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2051, + "step": 21205 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 21206 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 21207 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 21208 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 21209 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 21210 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 21211 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 21212 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 21213 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 21214 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 21215 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 21216 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 21217 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 21218 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.1916, + "step": 21219 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 21220 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 21221 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.1994, + "step": 21222 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 21223 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 21224 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 21225 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 21226 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.1986, + "step": 21227 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 21228 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 21229 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 21230 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 21231 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 21232 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 21233 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 21234 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.1982, + "step": 21235 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 21236 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 21237 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 21238 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 21239 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 21240 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 21241 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 21242 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 21243 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 21244 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 21245 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 21246 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 21247 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2037, + "step": 21248 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 21249 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 21250 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 21251 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 21252 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21253 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 21254 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 21255 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 21256 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.28, + "step": 21257 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2217, + "step": 21258 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 21259 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 21260 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 21261 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 21262 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 21263 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 21264 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 21265 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 21266 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 21267 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 21268 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2821, + "step": 21269 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 21270 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.1918, + "step": 21271 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 21272 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 21273 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 21274 + }, + { + "epoch": 2.35, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 21275 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 21276 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2792, + "step": 21277 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 21278 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 21279 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2005, + "step": 21280 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 21281 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 21282 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 21283 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 21284 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 21285 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 21286 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 21287 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 21288 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 21289 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 21290 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 21291 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 21292 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 21293 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 21294 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 21295 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 21296 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 21297 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 21298 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 21299 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 21300 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 21301 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 21302 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21303 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2128, + "step": 21304 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 21305 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 21306 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 21307 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 21308 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 21309 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2853, + "step": 21310 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 21311 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 21312 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 21313 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 21314 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 21315 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2855, + "step": 21316 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 21317 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2845, + "step": 21318 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 21319 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 21320 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 21321 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 21322 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 21323 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 21324 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 21325 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 21326 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 21327 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 21328 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 21329 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 21330 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 21331 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 21332 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 21333 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 21334 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 21335 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.1961, + "step": 21336 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 21337 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 21338 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.1917, + "step": 21339 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 21340 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 21341 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 21342 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 21343 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 21344 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 21345 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 21346 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 21347 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 21348 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 21349 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 21350 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 21351 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 21352 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 21353 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 21354 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 21355 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 21356 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 21357 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 21358 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 21359 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2046, + "step": 21360 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 21361 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 21362 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2041, + "step": 21363 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 21364 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 21365 + }, + { + "epoch": 2.36, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 21366 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.3172, + "step": 21367 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 21368 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 21369 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 21370 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.207, + "step": 21371 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 21372 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 21373 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 21374 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2003, + "step": 21375 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 21376 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2056, + "step": 21377 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 21378 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 21379 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2151, + "step": 21380 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 21381 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 21382 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2696, + "step": 21383 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 21384 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 21385 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2065, + "step": 21386 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 21387 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 21388 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 21389 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2824, + "step": 21390 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 21391 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 21392 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 21393 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 21394 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 21395 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2833, + "step": 21396 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 21397 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 21398 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 21399 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 21400 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 21401 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 21402 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 21403 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 21404 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 21405 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 21406 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 21407 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 21408 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 21409 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 21410 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2707, + "step": 21411 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 21412 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 21413 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 21414 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 21415 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 21416 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 21417 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 21418 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2813, + "step": 21419 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 21420 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 21421 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 21422 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 21423 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 21424 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 21425 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 21426 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 21427 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 21428 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 21429 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 21430 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 21431 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 21432 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.1909, + "step": 21433 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 21434 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 21435 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 21436 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.3015, + "step": 21437 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 21438 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.1717, + "step": 21439 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 21440 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 21441 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 21442 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 21443 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 21444 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 21445 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 21446 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.1809, + "step": 21447 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.194, + "step": 21448 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 21449 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 21450 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2614, + "step": 21451 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.261, + "step": 21452 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 21453 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2939, + "step": 21454 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 21455 + }, + { + "epoch": 2.37, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 21456 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 21457 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 21458 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 21459 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 21460 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 21461 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 21462 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 21463 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21464 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 21465 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.1937, + "step": 21466 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 21467 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 21468 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 21469 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 21470 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 21471 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 21472 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 21473 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 21474 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 21475 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.273, + "step": 21476 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 21477 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 21478 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 21479 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 21480 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 21481 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2657, + "step": 21482 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 21483 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 21484 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 21485 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 21486 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 21487 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2796, + "step": 21488 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 21489 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 21490 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 21491 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 21492 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 21493 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2004, + "step": 21494 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 21495 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 21496 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 21497 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 21498 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2675, + "step": 21499 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 21500 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 21501 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 21502 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 21503 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 21504 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 21505 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 21506 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 21507 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 21508 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 21509 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2015, + "step": 21510 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 21511 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 21512 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 21513 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.1985, + "step": 21514 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2855, + "step": 21515 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 21516 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 21517 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.278, + "step": 21518 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 21519 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 21520 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 21521 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 21522 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 21523 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 21524 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21525 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 21526 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 21527 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 21528 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2181, + "step": 21529 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 21530 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 21531 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 21532 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 21533 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 21534 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 21535 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 21536 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 21537 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 21538 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 21539 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 21540 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 21541 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2646, + "step": 21542 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 21543 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2765, + "step": 21544 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 21545 + }, + { + "epoch": 2.38, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 21546 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 21547 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 21548 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 21549 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2925, + "step": 21550 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 21551 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 21552 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 21553 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 21554 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 21555 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2775, + "step": 21556 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 21557 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 21558 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.1985, + "step": 21559 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 21560 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 21561 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.3094, + "step": 21562 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 21563 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 21564 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 21565 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 21566 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.218, + "step": 21567 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 21568 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 21569 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 21570 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 21571 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 21572 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.1954, + "step": 21573 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 21574 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 21575 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 21576 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 21577 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 21578 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.283, + "step": 21579 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 21580 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 21581 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 21582 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 21583 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 21584 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 21585 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 21586 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 21587 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2876, + "step": 21588 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 21589 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 21590 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 21591 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 21592 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 21593 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2056, + "step": 21594 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2051, + "step": 21595 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 21596 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.29, + "step": 21597 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 21598 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 21599 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 21600 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 21601 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 21602 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 21603 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2034, + "step": 21604 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 21605 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 21606 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 21607 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 21608 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 21609 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2967, + "step": 21610 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.3017, + "step": 21611 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 21612 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 21613 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 21614 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 21615 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 21616 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 21617 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 21618 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 21619 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2761, + "step": 21620 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 21621 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 21622 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 21623 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.3157, + "step": 21624 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 21625 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 21626 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 21627 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2876, + "step": 21628 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 21629 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 21630 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 21631 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.1994, + "step": 21632 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 21633 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 21634 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 21635 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 21636 + }, + { + "epoch": 2.39, + "learning_rate": 2e-05, + "loss": 0.2066, + "step": 21637 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 21638 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2718, + "step": 21639 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 21640 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 21641 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 21642 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.281, + "step": 21643 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2138, + "step": 21644 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 21645 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 21646 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 21647 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 21648 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 21649 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 21650 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 21651 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 21652 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 21653 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 21654 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 21655 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2846, + "step": 21656 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.1873, + "step": 21657 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 21658 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 21659 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 21660 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 21661 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 21662 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2696, + "step": 21663 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 21664 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 21665 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 21666 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 21667 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 21668 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 21669 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 21670 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 21671 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 21672 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 21673 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 21674 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 21675 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.1981, + "step": 21676 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 21677 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 21678 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 21679 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 21680 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 21681 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 21682 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2822, + "step": 21683 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 21684 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 21685 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2097, + "step": 21686 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.289, + "step": 21687 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 21688 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 21689 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 21690 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 21691 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 21692 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 21693 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2865, + "step": 21694 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 21695 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 21696 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2905, + "step": 21697 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 21698 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 21699 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 21700 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 21701 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 21702 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 21703 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.3014, + "step": 21704 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 21705 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 21706 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2857, + "step": 21707 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21708 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 21709 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 21710 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2763, + "step": 21711 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 21712 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 21713 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 21714 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 21715 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2078, + "step": 21716 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 21717 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 21718 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 21719 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.204, + "step": 21720 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 21721 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 21722 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 21723 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 21724 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 21725 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 21726 + }, + { + "epoch": 2.4, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 21727 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 21728 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 21729 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 21730 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 21731 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 21732 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.286, + "step": 21733 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 21734 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 21735 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 21736 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21737 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 21738 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 21739 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2909, + "step": 21740 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 21741 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 21742 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 21743 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 21744 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.1953, + "step": 21745 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 21746 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 21747 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 21748 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 21749 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 21750 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 21751 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 21752 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 21753 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 21754 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 21755 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 21756 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 21757 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 21758 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 21759 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 21760 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 21761 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 21762 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 21763 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 21764 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 21765 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2041, + "step": 21766 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2259, + "step": 21767 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 21768 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 21769 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 21770 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 21771 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 21772 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 21773 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21774 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 21775 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 21776 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 21777 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 21778 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.1787, + "step": 21779 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 21780 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 21781 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 21782 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 21783 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 21784 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.3037, + "step": 21785 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 21786 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 21787 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 21788 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 21789 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 21790 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 21791 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 21792 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 21793 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 21794 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 21795 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 21796 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 21797 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 21798 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 21799 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 21800 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 21801 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 21802 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 21803 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 21804 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 21805 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 21806 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 21807 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 21808 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 21809 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 21810 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 21811 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 21812 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 21813 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 21814 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 21815 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2123, + "step": 21816 + }, + { + "epoch": 2.41, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 21817 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.1976, + "step": 21818 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 21819 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 21820 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 21821 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 21822 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 21823 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2035, + "step": 21824 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 21825 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 21826 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 21827 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 21828 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.1887, + "step": 21829 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 21830 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 21831 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2991, + "step": 21832 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 21833 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 21834 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 21835 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 21836 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 21837 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.1932, + "step": 21838 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 21839 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 21840 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2057, + "step": 21841 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.293, + "step": 21842 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 21843 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 21844 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 21845 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 21846 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 21847 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 21848 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 21849 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 21850 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 21851 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 21852 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 21853 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 21854 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 21855 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.1994, + "step": 21856 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 21857 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 21858 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 21859 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 21860 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 21861 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 21862 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 21863 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 21864 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 21865 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 21866 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 21867 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 21868 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 21869 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 21870 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 21871 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 21872 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 21873 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 21874 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 21875 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 21876 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 21877 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 21878 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 21879 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 21880 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.1851, + "step": 21881 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 21882 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 21883 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 21884 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2762, + "step": 21885 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 21886 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.201, + "step": 21887 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.226, + "step": 21888 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 21889 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2036, + "step": 21890 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 21891 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 21892 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 21893 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 21894 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 21895 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 21896 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2759, + "step": 21897 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 21898 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 21899 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 21900 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 21901 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2726, + "step": 21902 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 21903 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 21904 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 21905 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 21906 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 21907 + }, + { + "epoch": 2.42, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 21908 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 21909 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 21910 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 21911 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 21912 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 21913 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 21914 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 21915 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 21916 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 21917 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 21918 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 21919 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.3013, + "step": 21920 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 21921 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 21922 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 21923 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 21924 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 21925 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 21926 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 21927 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 21928 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 21929 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 21930 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 21931 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 21932 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 21933 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 21934 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 21935 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 21936 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 21937 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.1997, + "step": 21938 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 21939 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 21940 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 21941 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 21942 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 21943 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 21944 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 21945 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 21946 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 21947 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 21948 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 21949 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 21950 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 21951 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2143, + "step": 21952 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 21953 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 21954 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 21955 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 21956 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 21957 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 21958 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 21959 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 21960 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 21961 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 21962 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 21963 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 21964 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2217, + "step": 21965 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.1878, + "step": 21966 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 21967 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 21968 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 21969 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 21970 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 21971 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 21972 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 21973 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2748, + "step": 21974 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 21975 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 21976 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 21977 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 21978 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 21979 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 21980 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 21981 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 21982 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 21983 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 21984 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 21985 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.186, + "step": 21986 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 21987 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 21988 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 21989 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 21990 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 21991 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 21992 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 21993 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 21994 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2771, + "step": 21995 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 21996 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2914, + "step": 21997 + }, + { + "epoch": 2.43, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 21998 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 21999 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 22000 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2089, + "step": 22001 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 22002 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 22003 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22004 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2934, + "step": 22005 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 22006 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 22007 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 22008 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22009 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 22010 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 22011 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 22012 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 22013 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 22014 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 22015 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 22016 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 22017 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 22018 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 22019 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 22020 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 22021 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 22022 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 22023 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 22024 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2924, + "step": 22025 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 22026 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 22027 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 22028 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 22029 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 22030 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 22031 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 22032 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 22033 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 22034 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 22035 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 22036 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 22037 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2924, + "step": 22038 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 22039 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 22040 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 22041 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 22042 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 22043 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 22044 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 22045 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2736, + "step": 22046 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 22047 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 22048 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2927, + "step": 22049 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 22050 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2119, + "step": 22051 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 22052 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 22053 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 22054 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 22055 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 22056 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 22057 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 22058 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 22059 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2614, + "step": 22060 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 22061 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 22062 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 22063 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 22064 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 22065 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 22066 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 22067 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 22068 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2912, + "step": 22069 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 22070 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 22071 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.1949, + "step": 22072 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 22073 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 22074 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 22075 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 22076 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 22077 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 22078 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 22079 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2878, + "step": 22080 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 22081 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 22082 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 22083 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 22084 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 22085 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 22086 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.3352, + "step": 22087 + }, + { + "epoch": 2.44, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 22088 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 22089 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 22090 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2615, + "step": 22091 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 22092 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 22093 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 22094 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 22095 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 22096 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 22097 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2693, + "step": 22098 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 22099 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 22100 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 22101 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2761, + "step": 22102 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22103 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 22104 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2077, + "step": 22105 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2941, + "step": 22106 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.3161, + "step": 22107 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 22108 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 22109 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 22110 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 22111 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 22112 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 22113 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 22114 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 22115 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 22116 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 22117 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.3188, + "step": 22118 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 22119 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 22120 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 22121 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 22122 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 22123 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 22124 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 22125 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 22126 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 22127 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 22128 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 22129 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 22130 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 22131 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 22132 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 22133 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 22134 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 22135 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 22136 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2777, + "step": 22137 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 22138 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 22139 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 22140 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2, + "step": 22141 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 22142 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 22143 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 22144 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 22145 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 22146 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 22147 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 22148 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 22149 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 22150 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22151 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 22152 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 22153 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 22154 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 22155 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 22156 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 22157 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2671, + "step": 22158 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 22159 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 22160 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.3028, + "step": 22161 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 22162 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 22163 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 22164 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 22165 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 22166 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 22167 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.1885, + "step": 22168 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 22169 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 22170 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.307, + "step": 22171 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 22172 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 22173 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2839, + "step": 22174 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 22175 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 22176 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2, + "step": 22177 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 22178 + }, + { + "epoch": 2.45, + "learning_rate": 2e-05, + "loss": 0.2025, + "step": 22179 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 22180 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 22181 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 22182 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 22183 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 22184 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2994, + "step": 22185 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 22186 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 22187 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 22188 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 22189 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 22190 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 22191 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22192 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.3111, + "step": 22193 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 22194 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 22195 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22196 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 22197 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 22198 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 22199 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22200 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 22201 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 22202 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 22203 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 22204 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 22205 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 22206 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2203, + "step": 22207 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 22208 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2729, + "step": 22209 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 22210 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 22211 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 22212 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.3014, + "step": 22213 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 22214 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 22215 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 22216 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2014, + "step": 22217 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 22218 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 22219 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 22220 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 22221 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 22222 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.1915, + "step": 22223 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 22224 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 22225 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2083, + "step": 22226 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 22227 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 22228 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 22229 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 22230 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 22231 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 22232 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.3001, + "step": 22233 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2759, + "step": 22234 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 22235 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 22236 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 22237 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 22238 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 22239 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 22240 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 22241 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 22242 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 22243 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 22244 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 22245 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 22246 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 22247 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 22248 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 22249 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.3223, + "step": 22250 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2841, + "step": 22251 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 22252 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 22253 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 22254 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 22255 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 22256 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2795, + "step": 22257 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 22258 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 22259 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 22260 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 22261 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 22262 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 22263 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 22264 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 22265 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 22266 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 22267 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 22268 + }, + { + "epoch": 2.46, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 22269 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 22270 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 22271 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2761, + "step": 22272 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2152, + "step": 22273 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2862, + "step": 22274 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 22275 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 22276 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 22277 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 22278 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 22279 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 22280 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.3317, + "step": 22281 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 22282 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 22283 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 22284 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 22285 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.1986, + "step": 22286 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 22287 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 22288 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2805, + "step": 22289 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2738, + "step": 22290 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 22291 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 22292 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 22293 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 22294 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 22295 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 22296 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 22297 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 22298 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 22299 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 22300 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 22301 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 22302 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 22303 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 22304 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 22305 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2042, + "step": 22306 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 22307 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2894, + "step": 22308 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 22309 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 22310 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 22311 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 22312 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 22313 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 22314 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 22315 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 22316 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 22317 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 22318 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 22319 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 22320 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 22321 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 22322 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 22323 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 22324 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 22325 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 22326 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 22327 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22328 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 22329 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 22330 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.3134, + "step": 22331 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 22332 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 22333 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 22334 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 22335 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 22336 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 22337 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 22338 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22339 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2746, + "step": 22340 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 22341 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2797, + "step": 22342 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 22343 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 22344 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 22345 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 22346 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 22347 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 22348 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 22349 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 22350 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 22351 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2778, + "step": 22352 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.1985, + "step": 22353 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 22354 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 22355 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 22356 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2215, + "step": 22357 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.2984, + "step": 22358 + }, + { + "epoch": 2.47, + "learning_rate": 2e-05, + "loss": 0.1802, + "step": 22359 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 22360 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 22361 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 22362 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.182, + "step": 22363 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 22364 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 22365 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 22366 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 22367 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 22368 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 22369 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.3002, + "step": 22370 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 22371 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 22372 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 22373 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2799, + "step": 22374 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 22375 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2917, + "step": 22376 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.1692, + "step": 22377 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 22378 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2049, + "step": 22379 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 22380 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 22381 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 22382 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 22383 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 22384 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 22385 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 22386 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 22387 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 22388 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 22389 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 22390 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 22391 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2853, + "step": 22392 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 22393 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 22394 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 22395 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 22396 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 22397 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 22398 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 22399 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22400 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2062, + "step": 22401 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 22402 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 22403 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 22404 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 22405 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 22406 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 22407 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 22408 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 22409 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 22410 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 22411 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 22412 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 22413 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 22414 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 22415 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 22416 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.3007, + "step": 22417 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 22418 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 22419 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 22420 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 22421 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 22422 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 22423 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22424 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 22425 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 22426 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.3064, + "step": 22427 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 22428 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 22429 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 22430 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 22431 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 22432 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 22433 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 22434 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 22435 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 22436 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.3058, + "step": 22437 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 22438 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2113, + "step": 22439 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 22440 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2781, + "step": 22441 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 22442 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 22443 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 22444 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 22445 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 22446 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 22447 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2747, + "step": 22448 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 22449 + }, + { + "epoch": 2.48, + "learning_rate": 2e-05, + "loss": 0.1918, + "step": 22450 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 22451 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 22452 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2795, + "step": 22453 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 22454 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 22455 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.307, + "step": 22456 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 22457 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 22458 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 22459 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 22460 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 22461 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 22462 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 22463 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 22464 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 22465 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 22466 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 22467 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.1806, + "step": 22468 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.304, + "step": 22469 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2094, + "step": 22470 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 22471 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 22472 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 22473 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 22474 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 22475 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2125, + "step": 22476 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 22477 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2878, + "step": 22478 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 22479 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 22480 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 22481 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.1995, + "step": 22482 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 22483 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 22484 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 22485 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 22486 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 22487 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 22488 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 22489 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 22490 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 22491 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 22492 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 22493 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 22494 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 22495 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 22496 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 22497 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 22498 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 22499 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 22500 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 22501 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 22502 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2049, + "step": 22503 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 22504 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 22505 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 22506 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 22507 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 22508 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 22509 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 22510 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 22511 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.3022, + "step": 22512 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 22513 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 22514 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 22515 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 22516 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 22517 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 22518 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 22519 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 22520 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 22521 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 22522 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 22523 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 22524 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2067, + "step": 22525 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 22526 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 22527 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2519, + "step": 22528 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 22529 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 22530 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 22531 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 22532 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 22533 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2928, + "step": 22534 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 22535 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 22536 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 22537 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 22538 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.326, + "step": 22539 + }, + { + "epoch": 2.49, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 22540 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 22541 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 22542 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 22543 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 22544 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 22545 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 22546 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 22547 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.3193, + "step": 22548 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 22549 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 22550 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 22551 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 22552 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 22553 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 22554 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 22555 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 22556 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.1861, + "step": 22557 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 22558 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 22559 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2101, + "step": 22560 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 22561 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 22562 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 22563 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 22564 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 22565 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2922, + "step": 22566 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 22567 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 22568 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 22569 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2872, + "step": 22570 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 22571 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 22572 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 22573 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 22574 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2696, + "step": 22575 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 22576 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2826, + "step": 22577 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 22578 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 22579 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 22580 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 22581 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 22582 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 22583 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 22584 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.3194, + "step": 22585 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 22586 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 22587 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 22588 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 22589 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.26, + "step": 22590 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 22591 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 22592 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 22593 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 22594 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 22595 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 22596 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 22597 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 22598 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 22599 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 22600 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 22601 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 22602 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 22603 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 22604 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 22605 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.3244, + "step": 22606 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 22607 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 22608 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 22609 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 22610 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 22611 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 22612 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 22613 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 22614 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 22615 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 22616 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 22617 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 22618 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 22619 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 22620 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 22621 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 22622 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.1973, + "step": 22623 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 22624 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2027, + "step": 22625 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 22626 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 22627 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 22628 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 22629 + }, + { + "epoch": 2.5, + "learning_rate": 2e-05, + "loss": 0.273, + "step": 22630 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 22631 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 22632 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 22633 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 22634 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 22635 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 22636 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 22637 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 22638 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 22639 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.3521, + "step": 22640 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.261, + "step": 22641 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.3068, + "step": 22642 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.3071, + "step": 22643 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 22644 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 22645 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 22646 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 22647 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 22648 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 22649 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22650 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 22651 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22652 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 22653 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 22654 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22655 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 22656 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 22657 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 22658 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 22659 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 22660 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 22661 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 22662 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2696, + "step": 22663 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 22664 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 22665 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.274, + "step": 22666 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 22667 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2765, + "step": 22668 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 22669 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 22670 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 22671 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 22672 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 22673 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 22674 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2803, + "step": 22675 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 22676 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2062, + "step": 22677 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 22678 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 22679 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 22680 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 22681 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 22682 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 22683 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2834, + "step": 22684 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 22685 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.3092, + "step": 22686 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2782, + "step": 22687 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 22688 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 22689 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 22690 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 22691 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 22692 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 22693 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 22694 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 22695 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 22696 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 22697 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 22698 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 22699 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 22700 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 22701 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 22702 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 22703 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 22704 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 22705 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 22706 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 22707 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 22708 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 22709 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 22710 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 22711 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 22712 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 22713 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 22714 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2085, + "step": 22715 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 22716 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 22717 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.1981, + "step": 22718 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 22719 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 22720 + }, + { + "epoch": 2.51, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 22721 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 22722 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 22723 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 22724 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 22725 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 22726 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 22727 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 22728 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 22729 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 22730 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 22731 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 22732 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 22733 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 22734 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2109, + "step": 22735 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 22736 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 22737 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 22738 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 22739 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.3983, + "step": 22740 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 22741 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 22742 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2585, + "step": 22743 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 22744 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 22745 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 22746 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 22747 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 22748 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 22749 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 22750 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 22751 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 22752 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 22753 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 22754 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 22755 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 22756 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.261, + "step": 22757 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2939, + "step": 22758 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2797, + "step": 22759 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 22760 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 22761 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 22762 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 22763 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2834, + "step": 22764 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 22765 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 22766 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 22767 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 22768 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 22769 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 22770 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 22771 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 22772 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 22773 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 22774 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 22775 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 22776 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 22777 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 22778 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 22779 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2281, + "step": 22780 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22781 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22782 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 22783 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 22784 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 22785 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.218, + "step": 22786 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 22787 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 22788 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 22789 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 22790 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 22791 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 22792 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 22793 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 22794 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.3045, + "step": 22795 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22796 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 22797 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 22798 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 22799 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 22800 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2966, + "step": 22801 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2854, + "step": 22802 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 22803 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2005, + "step": 22804 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 22805 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 22806 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 22807 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 22808 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 22809 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 22810 + }, + { + "epoch": 2.52, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 22811 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 22812 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2772, + "step": 22813 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 22814 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 22815 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 22816 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 22817 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 22818 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 22819 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 22820 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 22821 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2752, + "step": 22822 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2744, + "step": 22823 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 22824 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 22825 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 22826 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 22827 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 22828 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 22829 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 22830 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 22831 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 22832 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 22833 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2877, + "step": 22834 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 22835 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 22836 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 22837 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.1927, + "step": 22838 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 22839 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 22840 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 22841 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 22842 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 22843 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 22844 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 22845 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 22846 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 22847 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 22848 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 22849 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 22850 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2061, + "step": 22851 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 22852 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 22853 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 22854 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 22855 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 22856 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 22857 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 22858 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 22859 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 22860 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 22861 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 22862 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 22863 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 22864 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2029, + "step": 22865 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 22866 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 22867 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 22868 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.1952, + "step": 22869 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.1844, + "step": 22870 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 22871 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.196, + "step": 22872 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2136, + "step": 22873 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2725, + "step": 22874 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.3184, + "step": 22875 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 22876 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 22877 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 22878 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 22879 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 22880 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 22881 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 22882 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 22883 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 22884 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 22885 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 22886 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 22887 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.277, + "step": 22888 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2675, + "step": 22889 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 22890 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 22891 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.3323, + "step": 22892 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 22893 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 22894 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 22895 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 22896 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 22897 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 22898 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 22899 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 22900 + }, + { + "epoch": 2.53, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 22901 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 22902 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 22903 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2065, + "step": 22904 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 22905 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 22906 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 22907 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 22908 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2795, + "step": 22909 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 22910 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 22911 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.1904, + "step": 22912 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 22913 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 22914 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2844, + "step": 22915 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 22916 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 22917 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 22918 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 22919 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 22920 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 22921 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 22922 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 22923 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 22924 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 22925 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.3809, + "step": 22926 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 22927 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 22928 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 22929 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2005, + "step": 22930 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.1777, + "step": 22931 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2108, + "step": 22932 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 22933 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 22934 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 22935 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 22936 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 22937 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.3067, + "step": 22938 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2778, + "step": 22939 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 22940 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 22941 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2814, + "step": 22942 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 22943 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2022, + "step": 22944 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2118, + "step": 22945 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 22946 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 22947 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2003, + "step": 22948 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 22949 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2203, + "step": 22950 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 22951 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 22952 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 22953 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 22954 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.1926, + "step": 22955 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 22956 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 22957 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 22958 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2777, + "step": 22959 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 22960 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 22961 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 22962 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 22963 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 22964 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 22965 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 22966 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 22967 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 22968 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 22969 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 22970 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 22971 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 22972 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 22973 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 22974 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 22975 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 22976 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 22977 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 22978 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 22979 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 22980 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 22981 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 22982 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 22983 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 22984 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2883, + "step": 22985 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2806, + "step": 22986 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.3201, + "step": 22987 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 22988 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 22989 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2721, + "step": 22990 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 22991 + }, + { + "epoch": 2.54, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 22992 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 22993 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2856, + "step": 22994 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 22995 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 22996 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 22997 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 22998 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 22999 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.3005, + "step": 23000 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 23001 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.278, + "step": 23002 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 23003 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 23004 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 23005 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2748, + "step": 23006 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 23007 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 23008 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 23009 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 23010 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 23011 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 23012 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 23013 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 23014 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 23015 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 23016 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 23017 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 23018 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 23019 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 23020 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2912, + "step": 23021 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 23022 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 23023 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 23024 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 23025 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 23026 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 23027 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 23028 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 23029 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 23030 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 23031 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 23032 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 23033 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 23034 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 23035 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 23036 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 23037 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 23038 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 23039 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 23040 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 23041 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 23042 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 23043 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 23044 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 23045 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 23046 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23047 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 23048 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 23049 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 23050 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 23051 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2186, + "step": 23052 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 23053 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 23054 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2759, + "step": 23055 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 23056 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 23057 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 23058 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 23059 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 23060 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 23061 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 23062 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 23063 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 23064 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 23065 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 23066 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 23067 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 23068 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 23069 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 23070 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 23071 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 23072 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 23073 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 23074 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 23075 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2756, + "step": 23076 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 23077 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 23078 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 23079 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.3007, + "step": 23080 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 23081 + }, + { + "epoch": 2.55, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 23082 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.1796, + "step": 23083 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 23084 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 23085 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 23086 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 23087 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 23088 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 23089 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 23090 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 23091 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 23092 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 23093 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23094 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 23095 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.1936, + "step": 23096 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 23097 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 23098 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 23099 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2777, + "step": 23100 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 23101 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 23102 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 23103 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 23104 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 23105 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 23106 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 23107 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 23108 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.3006, + "step": 23109 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 23110 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 23111 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 23112 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 23113 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 23114 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 23115 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 23116 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 23117 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 23118 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 23119 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2615, + "step": 23120 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 23121 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 23122 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 23123 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 23124 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 23125 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 23126 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 23127 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2021, + "step": 23128 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 23129 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 23130 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23131 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2989, + "step": 23132 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 23133 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.1869, + "step": 23134 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2762, + "step": 23135 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 23136 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 23137 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 23138 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 23139 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 23140 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 23141 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 23142 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 23143 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2847, + "step": 23144 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 23145 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 23146 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23147 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 23148 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 23149 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.1954, + "step": 23150 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 23151 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 23152 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 23153 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 23154 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 23155 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 23156 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 23157 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 23158 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.1877, + "step": 23159 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 23160 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 23161 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 23162 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 23163 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 23164 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 23165 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 23166 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 23167 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 23168 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.211, + "step": 23169 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 23170 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 23171 + }, + { + "epoch": 2.56, + "learning_rate": 2e-05, + "loss": 0.2813, + "step": 23172 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2749, + "step": 23173 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 23174 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 23175 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 23176 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2039, + "step": 23177 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 23178 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 23179 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 23180 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 23181 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2057, + "step": 23182 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 23183 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 23184 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 23185 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2325, + "step": 23186 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 23187 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 23188 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 23189 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.29, + "step": 23190 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 23191 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 23192 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 23193 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 23194 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 23195 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 23196 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2838, + "step": 23197 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2116, + "step": 23198 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2799, + "step": 23199 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 23200 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 23201 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2657, + "step": 23202 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 23203 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 23204 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 23205 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2782, + "step": 23206 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.1817, + "step": 23207 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.1953, + "step": 23208 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 23209 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 23210 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2899, + "step": 23211 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 23212 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 23213 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 23214 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 23215 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.1972, + "step": 23216 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 23217 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 23218 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 23219 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 23220 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 23221 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 23222 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2756, + "step": 23223 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 23224 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 23225 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 23226 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2908, + "step": 23227 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 23228 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.3213, + "step": 23229 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 23230 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 23231 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 23232 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 23233 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 23234 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2022, + "step": 23235 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 23236 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2719, + "step": 23237 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 23238 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2066, + "step": 23239 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 23240 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 23241 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 23242 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 23243 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 23244 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2982, + "step": 23245 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 23246 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 23247 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 23248 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 23249 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 23250 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 23251 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 23252 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 23253 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 23254 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 23255 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 23256 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.202, + "step": 23257 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 23258 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 23259 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 23260 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 23261 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 23262 + }, + { + "epoch": 2.57, + "learning_rate": 2e-05, + "loss": 0.2088, + "step": 23263 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 23264 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 23265 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 23266 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 23267 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 23268 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 23269 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 23270 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 23271 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 23272 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 23273 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 23274 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 23275 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 23276 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 23277 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 23278 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 23279 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 23280 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 23281 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 23282 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 23283 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 23284 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2841, + "step": 23285 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 23286 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 23287 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 23288 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 23289 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 23290 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 23291 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 23292 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 23293 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 23294 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 23295 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 23296 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 23297 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 23298 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 23299 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23300 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 23301 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 23302 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2028, + "step": 23303 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 23304 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 23305 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 23306 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 23307 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 23308 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23309 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2799, + "step": 23310 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 23311 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 23312 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 23313 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 23314 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 23315 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 23316 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 23317 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 23318 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 23319 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2001, + "step": 23320 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 23321 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 23322 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 23323 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 23324 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 23325 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 23326 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 23327 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 23328 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.3039, + "step": 23329 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 23330 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 23331 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 23332 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.289, + "step": 23333 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2707, + "step": 23334 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 23335 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 23336 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 23337 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 23338 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 23339 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 23340 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 23341 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 23342 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 23343 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 23344 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 23345 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 23346 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2033, + "step": 23347 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 23348 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 23349 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 23350 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 23351 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 23352 + }, + { + "epoch": 2.58, + "learning_rate": 2e-05, + "loss": 0.3507, + "step": 23353 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 23354 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 23355 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 23356 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 23357 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.1997, + "step": 23358 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 23359 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 23360 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 23361 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2821, + "step": 23362 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 23363 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 23364 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 23365 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.1995, + "step": 23366 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 23367 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 23368 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 23369 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 23370 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 23371 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 23372 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 23373 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2831, + "step": 23374 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 23375 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 23376 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 23377 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2003, + "step": 23378 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 23379 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2897, + "step": 23380 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 23381 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 23382 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 23383 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 23384 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2787, + "step": 23385 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 23386 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.3239, + "step": 23387 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 23388 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 23389 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 23390 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 23391 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 23392 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2799, + "step": 23393 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 23394 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2047, + "step": 23395 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 23396 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2074, + "step": 23397 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 23398 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 23399 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 23400 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 23401 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 23402 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 23403 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 23404 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 23405 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.1959, + "step": 23406 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 23407 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 23408 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 23409 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2806, + "step": 23410 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 23411 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23412 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 23413 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 23414 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 23415 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 23416 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 23417 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2989, + "step": 23418 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 23419 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 23420 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 23421 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 23422 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 23423 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 23424 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23425 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2848, + "step": 23426 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 23427 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 23428 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 23429 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.21, + "step": 23430 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 23431 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 23432 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 23433 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 23434 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 23435 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2993, + "step": 23436 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 23437 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.303, + "step": 23438 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2837, + "step": 23439 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 23440 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 23441 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 23442 + }, + { + "epoch": 2.59, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 23443 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2677, + "step": 23444 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2808, + "step": 23445 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 23446 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 23447 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.278, + "step": 23448 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 23449 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 23450 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 23451 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2945, + "step": 23452 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 23453 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 23454 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 23455 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2986, + "step": 23456 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.3038, + "step": 23457 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 23458 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 23459 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 23460 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 23461 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 23462 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2889, + "step": 23463 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 23464 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2004, + "step": 23465 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 23466 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 23467 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.3294, + "step": 23468 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23469 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 23470 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 23471 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 23472 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 23473 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 23474 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 23475 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2955, + "step": 23476 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 23477 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 23478 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 23479 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 23480 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 23481 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 23482 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 23483 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 23484 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2922, + "step": 23485 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 23486 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2106, + "step": 23487 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 23488 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 23489 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 23490 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 23491 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 23492 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.207, + "step": 23493 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 23494 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 23495 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2737, + "step": 23496 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 23497 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 23498 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 23499 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 23500 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 23501 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 23502 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 23503 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 23504 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 23505 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2851, + "step": 23506 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 23507 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 23508 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2613, + "step": 23509 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2751, + "step": 23510 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 23511 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 23512 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 23513 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.261, + "step": 23514 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 23515 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 23516 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 23517 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 23518 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 23519 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 23520 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 23521 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 23522 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 23523 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 23524 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 23525 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 23526 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 23527 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 23528 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 23529 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.196, + "step": 23530 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 23531 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 23532 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2, + "step": 23533 + }, + { + "epoch": 2.6, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 23534 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 23535 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 23536 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 23537 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23538 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2817, + "step": 23539 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 23540 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2684, + "step": 23541 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 23542 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.3048, + "step": 23543 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 23544 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.3124, + "step": 23545 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 23546 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 23547 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 23548 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 23549 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 23550 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 23551 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 23552 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 23553 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 23554 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 23555 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 23556 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 23557 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 23558 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 23559 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.3061, + "step": 23560 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 23561 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2765, + "step": 23562 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 23563 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 23564 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.1981, + "step": 23565 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2596, + "step": 23566 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 23567 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.273, + "step": 23568 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 23569 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 23570 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 23571 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 23572 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 23573 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.1945, + "step": 23574 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 23575 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 23576 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 23577 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 23578 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 23579 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 23580 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 23581 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 23582 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 23583 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 23584 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 23585 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 23586 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 23587 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2979, + "step": 23588 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 23589 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 23590 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 23591 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 23592 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 23593 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 23594 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 23595 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 23596 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 23597 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 23598 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 23599 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.1935, + "step": 23600 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 23601 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 23602 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 23603 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 23604 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 23605 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 23606 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 23607 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 23608 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 23609 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 23610 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 23611 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 23612 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 23613 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 23614 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 23615 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 23616 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2132, + "step": 23617 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2721, + "step": 23618 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 23619 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 23620 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 23621 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 23622 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 23623 + }, + { + "epoch": 2.61, + "learning_rate": 2e-05, + "loss": 0.29, + "step": 23624 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 23625 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 23626 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.26, + "step": 23627 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 23628 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 23629 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2825, + "step": 23630 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 23631 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 23632 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 23633 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 23634 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 23635 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2822, + "step": 23636 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 23637 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 23638 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 23639 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 23640 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 23641 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.3109, + "step": 23642 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 23643 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 23644 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 23645 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 23646 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 23647 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 23648 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 23649 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 23650 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 23651 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 23652 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 23653 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 23654 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 23655 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 23656 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 23657 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 23658 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 23659 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 23660 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 23661 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 23662 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 23663 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 23664 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 23665 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2762, + "step": 23666 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2896, + "step": 23667 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 23668 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 23669 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 23670 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 23671 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 23672 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 23673 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 23674 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2785, + "step": 23675 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 23676 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 23677 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 23678 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 23679 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 23680 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 23681 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 23682 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 23683 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 23684 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.1925, + "step": 23685 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 23686 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 23687 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 23688 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 23689 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 23690 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 23691 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 23692 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2161, + "step": 23693 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 23694 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 23695 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 23696 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 23697 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 23698 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 23699 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 23700 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 23701 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 23702 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 23703 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 23704 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2356, + "step": 23705 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 23706 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 23707 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 23708 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2738, + "step": 23709 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 23710 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 23711 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 23712 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 23713 + }, + { + "epoch": 2.62, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 23714 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 23715 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 23716 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 23717 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 23718 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 23719 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 23720 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2062, + "step": 23721 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 23722 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 23723 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.298, + "step": 23724 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 23725 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 23726 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 23727 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 23728 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 23729 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 23730 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2874, + "step": 23731 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 23732 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 23733 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.1867, + "step": 23734 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23735 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.3134, + "step": 23736 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 23737 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 23738 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 23739 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 23740 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 23741 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 23742 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 23743 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 23744 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 23745 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 23746 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 23747 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 23748 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 23749 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 23750 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 23751 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 23752 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 23753 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23754 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 23755 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 23756 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23757 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 23758 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 23759 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2048, + "step": 23760 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 23761 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.1946, + "step": 23762 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 23763 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 23764 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.3386, + "step": 23765 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 23766 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2952, + "step": 23767 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23768 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 23769 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 23770 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 23771 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2889, + "step": 23772 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 23773 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 23774 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 23775 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 23776 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.22, + "step": 23777 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 23778 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 23779 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 23780 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 23781 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2989, + "step": 23782 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 23783 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 23784 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 23785 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 23786 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.3048, + "step": 23787 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 23788 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 23789 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 23790 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 23791 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 23792 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 23793 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2751, + "step": 23794 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 23795 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 23796 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 23797 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 23798 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 23799 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 23800 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 23801 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.3074, + "step": 23802 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 23803 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.3246, + "step": 23804 + }, + { + "epoch": 2.63, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 23805 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 23806 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 23807 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 23808 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 23809 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 23810 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 23811 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 23812 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 23813 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.1927, + "step": 23814 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 23815 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 23816 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 23817 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 23818 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 23819 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2795, + "step": 23820 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 23821 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 23822 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 23823 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 23824 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 23825 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 23826 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 23827 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 23828 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 23829 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 23830 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 23831 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 23832 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 23833 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2732, + "step": 23834 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 23835 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2791, + "step": 23836 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 23837 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 23838 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.3187, + "step": 23839 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 23840 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 23841 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 23842 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 23843 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2818, + "step": 23844 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 23845 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.1861, + "step": 23846 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 23847 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2748, + "step": 23848 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 23849 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2895, + "step": 23850 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 23851 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2012, + "step": 23852 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 23853 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 23854 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 23855 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 23856 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 23857 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 23858 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 23859 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 23860 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 23861 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 23862 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 23863 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 23864 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 23865 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23866 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 23867 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 23868 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 23869 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 23870 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 23871 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 23872 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 23873 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.3036, + "step": 23874 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 23875 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 23876 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 23877 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2608, + "step": 23878 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2761, + "step": 23879 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 23880 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 23881 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 23882 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 23883 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 23884 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 23885 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 23886 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 23887 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2962, + "step": 23888 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 23889 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 23890 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 23891 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 23892 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 23893 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2024, + "step": 23894 + }, + { + "epoch": 2.64, + "learning_rate": 2e-05, + "loss": 0.2082, + "step": 23895 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 23896 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 23897 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 23898 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 23899 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 23900 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 23901 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 23902 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 23903 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 23904 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.292, + "step": 23905 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2005, + "step": 23906 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 23907 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 23908 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 23909 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 23910 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 23911 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 23912 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 23913 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 23914 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 23915 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 23916 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 23917 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2646, + "step": 23918 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2768, + "step": 23919 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 23920 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2703, + "step": 23921 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 23922 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2976, + "step": 23923 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 23924 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.3222, + "step": 23925 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 23926 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 23927 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 23928 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 23929 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 23930 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 23931 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 23932 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 23933 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 23934 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.3005, + "step": 23935 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 23936 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 23937 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 23938 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 23939 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2773, + "step": 23940 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 23941 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 23942 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 23943 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 23944 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 23945 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 23946 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2065, + "step": 23947 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 23948 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.3087, + "step": 23949 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 23950 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 23951 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 23952 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 23953 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2982, + "step": 23954 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 23955 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 23956 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 23957 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 23958 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 23959 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 23960 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 23961 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 23962 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 23963 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 23964 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2176, + "step": 23965 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.3121, + "step": 23966 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 23967 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 23968 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 23969 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 23970 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2725, + "step": 23971 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 23972 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 23973 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 23974 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 23975 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2115, + "step": 23976 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 23977 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 23978 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 23979 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 23980 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 23981 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2177, + "step": 23982 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 23983 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2614, + "step": 23984 + }, + { + "epoch": 2.65, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 23985 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.3634, + "step": 23986 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 23987 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2869, + "step": 23988 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 23989 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 23990 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 23991 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 23992 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 23993 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 23994 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 23995 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 23996 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2336, + "step": 23997 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 23998 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2826, + "step": 23999 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 24000 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 24001 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 24002 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 24003 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 24004 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.1721, + "step": 24005 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 24006 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 24007 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.1997, + "step": 24008 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 24009 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 24010 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2792, + "step": 24011 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 24012 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.3255, + "step": 24013 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 24014 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 24015 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 24016 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 24017 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 24018 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 24019 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.1948, + "step": 24020 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.3102, + "step": 24021 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 24022 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 24023 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24024 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 24025 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 24026 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 24027 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2123, + "step": 24028 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2996, + "step": 24029 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 24030 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 24031 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 24032 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 24033 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 24034 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 24035 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 24036 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24037 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 24038 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 24039 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 24040 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 24041 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 24042 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 24043 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2121, + "step": 24044 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 24045 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 24046 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 24047 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.3627, + "step": 24048 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 24049 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 24050 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 24051 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 24052 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 24053 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 24054 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 24055 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2844, + "step": 24056 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 24057 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 24058 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 24059 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 24060 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 24061 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 24062 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 24063 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2828, + "step": 24064 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 24065 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2931, + "step": 24066 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.1968, + "step": 24067 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2811, + "step": 24068 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 24069 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 24070 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 24071 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 24072 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 24073 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 24074 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 24075 + }, + { + "epoch": 2.66, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 24076 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2718, + "step": 24077 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 24078 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 24079 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 24080 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 24081 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 24082 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 24083 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2178, + "step": 24084 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2673, + "step": 24085 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 24086 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 24087 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 24088 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 24089 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 24090 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 24091 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2305, + "step": 24092 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.323, + "step": 24093 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.1968, + "step": 24094 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 24095 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 24096 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 24097 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 24098 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.3023, + "step": 24099 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 24100 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 24101 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 24102 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 24103 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 24104 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 24105 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 24106 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.277, + "step": 24107 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2864, + "step": 24108 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2737, + "step": 24109 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 24110 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 24111 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 24112 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 24113 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 24114 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 24115 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 24116 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 24117 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2909, + "step": 24118 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 24119 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 24120 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 24121 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 24122 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 24123 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 24124 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 24125 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 24126 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 24127 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 24128 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2784, + "step": 24129 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2106, + "step": 24130 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 24131 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 24132 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 24133 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 24134 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 24135 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 24136 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 24137 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 24138 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 24139 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 24140 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2849, + "step": 24141 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 24142 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 24143 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24144 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 24145 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 24146 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2879, + "step": 24147 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 24148 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 24149 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 24150 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.3388, + "step": 24151 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 24152 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 24153 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 24154 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 24155 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2817, + "step": 24156 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 24157 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 24158 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.208, + "step": 24159 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2729, + "step": 24160 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 24161 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 24162 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 24163 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 24164 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 24165 + }, + { + "epoch": 2.67, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 24166 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 24167 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 24168 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2962, + "step": 24169 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 24170 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 24171 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.31, + "step": 24172 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2933, + "step": 24173 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 24174 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 24175 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2707, + "step": 24176 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 24177 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 24178 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2198, + "step": 24179 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 24180 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 24181 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 24182 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 24183 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 24184 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 24185 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 24186 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 24187 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 24188 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 24189 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 24190 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 24191 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 24192 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 24193 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2396, + "step": 24194 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2967, + "step": 24195 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 24196 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 24197 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 24198 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2363, + "step": 24199 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 24200 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 24201 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 24202 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 24203 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 24204 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 24205 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 24206 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2848, + "step": 24207 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 24208 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 24209 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 24210 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 24211 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 24212 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 24213 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 24214 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2864, + "step": 24215 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.3023, + "step": 24216 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 24217 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 24218 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 24219 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 24220 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2696, + "step": 24221 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 24222 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 24223 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 24224 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 24225 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2944, + "step": 24226 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 24227 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 24228 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 24229 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 24230 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 24231 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 24232 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 24233 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 24234 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 24235 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 24236 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 24237 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 24238 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 24239 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 24240 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 24241 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2114, + "step": 24242 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 24243 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 24244 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.1931, + "step": 24245 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 24246 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 24247 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 24248 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 24249 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 24250 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 24251 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 24252 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2814, + "step": 24253 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 24254 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 24255 + }, + { + "epoch": 2.68, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 24256 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 24257 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 24258 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 24259 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 24260 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 24261 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 24262 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 24263 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 24264 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 24265 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.1942, + "step": 24266 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 24267 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2914, + "step": 24268 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 24269 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 24270 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 24271 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2647, + "step": 24272 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 24273 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2767, + "step": 24274 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 24275 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 24276 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 24277 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 24278 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 24279 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 24280 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2615, + "step": 24281 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 24282 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2144, + "step": 24283 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2203, + "step": 24284 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.3131, + "step": 24285 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 24286 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2684, + "step": 24287 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 24288 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2103, + "step": 24289 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 24290 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.1952, + "step": 24291 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 24292 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2376, + "step": 24293 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 24294 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 24295 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 24296 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2235, + "step": 24297 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 24298 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 24299 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 24300 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 24301 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 24302 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 24303 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 24304 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 24305 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24306 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2914, + "step": 24307 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 24308 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 24309 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 24310 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2767, + "step": 24311 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 24312 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 24313 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 24314 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 24315 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 24316 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2228, + "step": 24317 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 24318 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 24319 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 24320 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 24321 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.3009, + "step": 24322 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2777, + "step": 24323 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 24324 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 24325 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 24326 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 24327 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 24328 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.197, + "step": 24329 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 24330 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 24331 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 24332 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 24333 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2868, + "step": 24334 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2161, + "step": 24335 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.1884, + "step": 24336 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 24337 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2002, + "step": 24338 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.277, + "step": 24339 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 24340 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 24341 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 24342 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2723, + "step": 24343 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 24344 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 24345 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 24346 + }, + { + "epoch": 2.69, + "learning_rate": 2e-05, + "loss": 0.2879, + "step": 24347 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 24348 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 24349 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 24350 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 24351 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 24352 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 24353 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.3013, + "step": 24354 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 24355 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 24356 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24357 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 24358 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2884, + "step": 24359 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 24360 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 24361 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 24362 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 24363 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.1991, + "step": 24364 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 24365 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 24366 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2025, + "step": 24367 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 24368 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2833, + "step": 24369 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 24370 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 24371 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 24372 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 24373 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 24374 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 24375 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 24376 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.3263, + "step": 24377 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 24378 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 24379 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2808, + "step": 24380 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2039, + "step": 24381 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 24382 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 24383 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.175, + "step": 24384 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 24385 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 24386 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.207, + "step": 24387 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2828, + "step": 24388 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 24389 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 24390 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 24391 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 24392 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 24393 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 24394 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 24395 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 24396 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 24397 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 24398 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24399 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2214, + "step": 24400 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 24401 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2898, + "step": 24402 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 24403 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 24404 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2778, + "step": 24405 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 24406 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 24407 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 24408 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 24409 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 24410 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 24411 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2944, + "step": 24412 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2276, + "step": 24413 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 24414 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.3296, + "step": 24415 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 24416 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 24417 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 24418 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 24419 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 24420 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.1966, + "step": 24421 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 24422 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 24423 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 24424 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 24425 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 24426 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.3028, + "step": 24427 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 24428 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 24429 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 24430 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 24431 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 24432 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 24433 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 24434 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 24435 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 24436 + }, + { + "epoch": 2.7, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 24437 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 24438 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 24439 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 24440 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 24441 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 24442 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 24443 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 24444 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 24445 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 24446 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 24447 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 24448 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2974, + "step": 24449 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 24450 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 24451 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2287, + "step": 24452 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 24453 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 24454 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 24455 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 24456 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 24457 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 24458 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2719, + "step": 24459 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.215, + "step": 24460 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 24461 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.3139, + "step": 24462 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 24463 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 24464 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 24465 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 24466 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 24467 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 24468 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 24469 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 24470 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 24471 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 24472 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 24473 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 24474 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2737, + "step": 24475 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 24476 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 24477 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 24478 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 24479 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 24480 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 24481 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2006, + "step": 24482 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 24483 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 24484 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 24485 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 24486 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 24487 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 24488 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.3635, + "step": 24489 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 24490 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24491 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 24492 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 24493 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 24494 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 24495 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2174, + "step": 24496 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 24497 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 24498 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 24499 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 24500 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.3105, + "step": 24501 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 24502 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 24503 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 24504 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 24505 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 24506 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2837, + "step": 24507 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 24508 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 24509 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 24510 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 24511 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 24512 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 24513 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 24514 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 24515 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2608, + "step": 24516 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 24517 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 24518 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 24519 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 24520 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 24521 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 24522 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 24523 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 24524 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 24525 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2067, + "step": 24526 + }, + { + "epoch": 2.71, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 24527 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 24528 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 24529 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 24530 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 24531 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 24532 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 24533 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 24534 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 24535 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 24536 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 24537 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 24538 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 24539 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 24540 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 24541 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 24542 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 24543 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 24544 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 24545 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2933, + "step": 24546 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 24547 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2284, + "step": 24548 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 24549 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 24550 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 24551 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 24552 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.1943, + "step": 24553 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 24554 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 24555 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2809, + "step": 24556 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 24557 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 24558 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 24559 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2904, + "step": 24560 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2297, + "step": 24561 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 24562 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 24563 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 24564 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 24565 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 24566 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 24567 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 24568 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2832, + "step": 24569 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 24570 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 24571 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 24572 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 24573 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 24574 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 24575 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 24576 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 24577 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 24578 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2516, + "step": 24579 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 24580 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 24581 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 24582 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 24583 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 24584 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 24585 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 24586 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 24587 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 24588 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 24589 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 24590 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 24591 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 24592 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.3138, + "step": 24593 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 24594 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2838, + "step": 24595 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 24596 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2707, + "step": 24597 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 24598 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 24599 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 24600 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 24601 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.3215, + "step": 24602 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 24603 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2009, + "step": 24604 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 24605 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 24606 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 24607 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 24608 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 24609 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 24610 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 24611 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 24612 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 24613 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2204, + "step": 24614 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2852, + "step": 24615 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 24616 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 24617 + }, + { + "epoch": 2.72, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 24618 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2045, + "step": 24619 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2222, + "step": 24620 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 24621 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 24622 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24623 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 24624 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 24625 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2861, + "step": 24626 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2014, + "step": 24627 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 24628 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 24629 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2238, + "step": 24630 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 24631 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 24632 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 24633 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 24634 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 24635 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 24636 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2134, + "step": 24637 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 24638 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 24639 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 24640 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 24641 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 24642 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2614, + "step": 24643 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 24644 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 24645 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 24646 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 24647 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 24648 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 24649 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2001, + "step": 24650 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 24651 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 24652 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 24653 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 24654 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2919, + "step": 24655 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 24656 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 24657 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.3055, + "step": 24658 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 24659 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 24660 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 24661 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 24662 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 24663 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.278, + "step": 24664 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 24665 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 24666 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2718, + "step": 24667 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 24668 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 24669 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 24670 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 24671 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2122, + "step": 24672 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2878, + "step": 24673 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 24674 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2914, + "step": 24675 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2808, + "step": 24676 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2747, + "step": 24677 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 24678 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 24679 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 24680 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24681 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2172, + "step": 24682 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 24683 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 24684 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 24685 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2895, + "step": 24686 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 24687 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 24688 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 24689 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 24690 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 24691 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 24692 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 24693 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 24694 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 24695 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 24696 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2183, + "step": 24697 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 24698 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 24699 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2749, + "step": 24700 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 24701 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 24702 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 24703 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.283, + "step": 24704 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 24705 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.3374, + "step": 24706 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 24707 + }, + { + "epoch": 2.73, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 24708 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2901, + "step": 24709 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 24710 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2233, + "step": 24711 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 24712 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 24713 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 24714 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 24715 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2937, + "step": 24716 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.3181, + "step": 24717 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 24718 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2894, + "step": 24719 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 24720 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 24721 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2497, + "step": 24722 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 24723 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24724 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 24725 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 24726 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 24727 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 24728 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 24729 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 24730 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2815, + "step": 24731 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 24732 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2817, + "step": 24733 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 24734 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 24735 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 24736 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 24737 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 24738 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 24739 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.216, + "step": 24740 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 24741 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 24742 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 24743 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 24744 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 24745 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 24746 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2675, + "step": 24747 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 24748 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 24749 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 24750 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 24751 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 24752 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 24753 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2153, + "step": 24754 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2797, + "step": 24755 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 24756 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 24757 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 24758 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 24759 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 24760 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 24761 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 24762 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 24763 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 24764 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 24765 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 24766 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 24767 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 24768 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2019, + "step": 24769 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.3044, + "step": 24770 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2979, + "step": 24771 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 24772 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 24773 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2747, + "step": 24774 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 24775 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.1991, + "step": 24776 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 24777 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 24778 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 24779 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 24780 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 24781 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 24782 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.3188, + "step": 24783 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 24784 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 24785 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 24786 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 24787 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 24788 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 24789 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 24790 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 24791 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 24792 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 24793 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 24794 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2086, + "step": 24795 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 24796 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2721, + "step": 24797 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.2853, + "step": 24798 + }, + { + "epoch": 2.74, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 24799 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 24800 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 24801 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 24802 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 24803 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 24804 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 24805 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 24806 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 24807 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2162, + "step": 24808 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 24809 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2077, + "step": 24810 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 24811 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2016, + "step": 24812 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 24813 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2763, + "step": 24814 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 24815 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 24816 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 24817 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 24818 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 24819 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 24820 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 24821 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2961, + "step": 24822 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 24823 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 24824 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 24825 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 24826 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 24827 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 24828 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 24829 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 24830 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2549, + "step": 24831 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 24832 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 24833 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 24834 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2155, + "step": 24835 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 24836 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 24837 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 24838 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.3335, + "step": 24839 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 24840 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 24841 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 24842 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 24843 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.3026, + "step": 24844 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 24845 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 24846 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 24847 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 24848 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 24849 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2827, + "step": 24850 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 24851 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 24852 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 24853 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 24854 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2726, + "step": 24855 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2854, + "step": 24856 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 24857 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 24858 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 24859 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 24860 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2139, + "step": 24861 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 24862 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 24863 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2636, + "step": 24864 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2845, + "step": 24865 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 24866 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 24867 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 24868 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 24869 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 24870 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 24871 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 24872 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.3101, + "step": 24873 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 24874 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 24875 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2952, + "step": 24876 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 24877 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 24878 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 24879 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 24880 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2833, + "step": 24881 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 24882 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2821, + "step": 24883 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 24884 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 24885 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 24886 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2821, + "step": 24887 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 24888 + }, + { + "epoch": 2.75, + "learning_rate": 2e-05, + "loss": 0.2951, + "step": 24889 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2801, + "step": 24890 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 24891 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 24892 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 24893 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 24894 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2996, + "step": 24895 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 24896 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 24897 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 24898 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 24899 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 24900 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 24901 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2957, + "step": 24902 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2397, + "step": 24903 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 24904 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 24905 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 24906 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2569, + "step": 24907 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2791, + "step": 24908 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 24909 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 24910 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 24911 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.274, + "step": 24912 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 24913 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 24914 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 24915 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2851, + "step": 24916 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2956, + "step": 24917 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2797, + "step": 24918 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 24919 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 24920 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 24921 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 24922 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 24923 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 24924 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 24925 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2997, + "step": 24926 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 24927 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2133, + "step": 24928 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 24929 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 24930 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 24931 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 24932 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 24933 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 24934 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 24935 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 24936 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 24937 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 24938 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 24939 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2885, + "step": 24940 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 24941 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.3066, + "step": 24942 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 24943 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 24944 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 24945 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 24946 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.297, + "step": 24947 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 24948 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 24949 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 24950 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 24951 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 24952 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 24953 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2986, + "step": 24954 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 24955 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 24956 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2252, + "step": 24957 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2188, + "step": 24958 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.1929, + "step": 24959 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 24960 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 24961 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2949, + "step": 24962 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 24963 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.3009, + "step": 24964 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2128, + "step": 24965 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 24966 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 24967 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 24968 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 24969 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 24970 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 24971 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2166, + "step": 24972 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 24973 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.256, + "step": 24974 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 24975 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 24976 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 24977 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 24978 + }, + { + "epoch": 2.76, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 24979 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 24980 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 24981 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2025, + "step": 24982 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 24983 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 24984 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 24985 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 24986 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 24987 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 24988 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 24989 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2746, + "step": 24990 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 24991 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 24992 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 24993 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2828, + "step": 24994 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2193, + "step": 24995 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 24996 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 24997 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 24998 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 24999 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2932, + "step": 25000 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 25001 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.1923, + "step": 25002 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 25003 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 25004 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 25005 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 25006 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 25007 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2207, + "step": 25008 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 25009 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.3154, + "step": 25010 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 25011 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 25012 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 25013 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 25014 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 25015 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2283, + "step": 25016 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 25017 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 25018 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 25019 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 25020 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 25021 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 25022 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 25023 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 25024 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2621, + "step": 25025 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.3037, + "step": 25026 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 25027 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 25028 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.231, + "step": 25029 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 25030 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 25031 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 25032 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 25033 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.3054, + "step": 25034 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 25035 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 25036 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 25037 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.1968, + "step": 25038 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 25039 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.192, + "step": 25040 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2965, + "step": 25041 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 25042 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 25043 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 25044 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 25045 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 25046 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2242, + "step": 25047 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 25048 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 25049 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 25050 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 25051 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.3086, + "step": 25052 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 25053 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.3123, + "step": 25054 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 25055 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 25056 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 25057 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 25058 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 25059 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 25060 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 25061 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 25062 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 25063 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 25064 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 25065 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 25066 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 25067 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2646, + "step": 25068 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 25069 + }, + { + "epoch": 2.77, + "learning_rate": 2e-05, + "loss": 0.2864, + "step": 25070 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 25071 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 25072 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 25073 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2747, + "step": 25074 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 25075 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 25076 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2726, + "step": 25077 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2732, + "step": 25078 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 25079 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 25080 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.3002, + "step": 25081 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 25082 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2558, + "step": 25083 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2841, + "step": 25084 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2147, + "step": 25085 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 25086 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.332, + "step": 25087 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 25088 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 25089 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 25090 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 25091 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 25092 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 25093 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 25094 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 25095 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 25096 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 25097 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 25098 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.1998, + "step": 25099 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 25100 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 25101 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 25102 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 25103 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 25104 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2255, + "step": 25105 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 25106 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 25107 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 25108 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2954, + "step": 25109 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 25110 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2736, + "step": 25111 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 25112 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 25113 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 25114 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 25115 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2369, + "step": 25116 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 25117 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 25118 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 25119 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 25120 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 25121 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 25122 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.3125, + "step": 25123 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 25124 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 25125 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 25126 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 25127 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2684, + "step": 25128 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 25129 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 25130 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 25131 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 25132 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 25133 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 25134 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 25135 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 25136 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 25137 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 25138 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 25139 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 25140 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 25141 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 25142 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2966, + "step": 25143 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 25144 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 25145 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 25146 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 25147 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 25148 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 25149 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 25150 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.3108, + "step": 25151 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 25152 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 25153 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 25154 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 25155 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 25156 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 25157 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 25158 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 25159 + }, + { + "epoch": 2.78, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 25160 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 25161 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2862, + "step": 25162 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2835, + "step": 25163 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 25164 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2832, + "step": 25165 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2819, + "step": 25166 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 25167 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 25168 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 25169 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 25170 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2814, + "step": 25171 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2202, + "step": 25172 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 25173 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 25174 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 25175 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 25176 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 25177 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 25178 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 25179 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 25180 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 25181 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 25182 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2808, + "step": 25183 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25184 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2163, + "step": 25185 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2661, + "step": 25186 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25187 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2299, + "step": 25188 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2677, + "step": 25189 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 25190 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2988, + "step": 25191 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 25192 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2933, + "step": 25193 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 25194 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 25195 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 25196 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 25197 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2754, + "step": 25198 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 25199 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 25200 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 25201 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.213, + "step": 25202 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 25203 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25204 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 25205 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 25206 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 25207 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 25208 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2933, + "step": 25209 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 25210 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 25211 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 25212 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 25213 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 25214 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2248, + "step": 25215 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 25216 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 25217 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 25218 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2972, + "step": 25219 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2619, + "step": 25220 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 25221 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25222 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2938, + "step": 25223 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2579, + "step": 25224 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 25225 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2758, + "step": 25226 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 25227 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 25228 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 25229 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 25230 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 25231 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 25232 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 25233 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 25234 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2129, + "step": 25235 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 25236 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25237 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 25238 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 25239 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 25240 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 25241 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2799, + "step": 25242 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 25243 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 25244 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 25245 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2503, + "step": 25246 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 25247 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 25248 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2781, + "step": 25249 + }, + { + "epoch": 2.79, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 25250 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2078, + "step": 25251 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 25252 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 25253 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2768, + "step": 25254 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2941, + "step": 25255 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2737, + "step": 25256 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2593, + "step": 25257 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 25258 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 25259 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2973, + "step": 25260 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 25261 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 25262 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 25263 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 25264 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 25265 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2958, + "step": 25266 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 25267 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2054, + "step": 25268 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 25269 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 25270 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 25271 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 25272 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 25273 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 25274 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 25275 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.3029, + "step": 25276 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 25277 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 25278 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 25279 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 25280 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 25281 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 25282 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 25283 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 25284 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 25285 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 25286 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 25287 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.243, + "step": 25288 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 25289 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 25290 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 25291 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 25292 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 25293 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 25294 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 25295 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2359, + "step": 25296 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 25297 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 25298 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 25299 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 25300 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 25301 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 25302 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2243, + "step": 25303 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 25304 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 25305 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2038, + "step": 25306 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 25307 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 25308 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 25309 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 25310 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2011, + "step": 25311 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2254, + "step": 25312 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 25313 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 25314 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2212, + "step": 25315 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 25316 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 25317 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 25318 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 25319 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 25320 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2481, + "step": 25321 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 25322 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 25323 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2073, + "step": 25324 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 25325 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 25326 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 25327 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 25328 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 25329 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 25330 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 25331 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 25332 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 25333 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 25334 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 25335 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 25336 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 25337 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 25338 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 25339 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 25340 + }, + { + "epoch": 2.8, + "learning_rate": 2e-05, + "loss": 0.2381, + "step": 25341 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 25342 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 25343 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 25344 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 25345 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.273, + "step": 25346 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.3074, + "step": 25347 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2708, + "step": 25348 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 25349 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 25350 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 25351 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 25352 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2831, + "step": 25353 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 25354 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 25355 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2838, + "step": 25356 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2013, + "step": 25357 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 25358 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 25359 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 25360 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 25361 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 25362 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 25363 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2175, + "step": 25364 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2939, + "step": 25365 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 25366 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 25367 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 25368 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2298, + "step": 25369 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2476, + "step": 25370 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 25371 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2304, + "step": 25372 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2296, + "step": 25373 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 25374 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 25375 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 25376 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 25377 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 25378 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2606, + "step": 25379 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2471, + "step": 25380 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 25381 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 25382 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 25383 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2171, + "step": 25384 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 25385 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 25386 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 25387 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.232, + "step": 25388 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.3076, + "step": 25389 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2772, + "step": 25390 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 25391 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 25392 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 25393 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2754, + "step": 25394 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 25395 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2913, + "step": 25396 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 25397 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 25398 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2729, + "step": 25399 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2746, + "step": 25400 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.3025, + "step": 25401 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 25402 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2852, + "step": 25403 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2926, + "step": 25404 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 25405 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2877, + "step": 25406 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 25407 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 25408 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 25409 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 25410 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 25411 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 25412 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2308, + "step": 25413 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 25414 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 25415 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 25416 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 25417 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2703, + "step": 25418 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 25419 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2655, + "step": 25420 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 25421 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 25422 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 25423 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 25424 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2807, + "step": 25425 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 25426 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 25427 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 25428 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 25429 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 25430 + }, + { + "epoch": 2.81, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 25431 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 25432 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 25433 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 25434 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.1718, + "step": 25435 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 25436 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 25437 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 25438 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 25439 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 25440 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2502, + "step": 25441 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 25442 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 25443 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 25444 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 25445 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 25446 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2894, + "step": 25447 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 25448 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 25449 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 25450 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 25451 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 25452 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 25453 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2022, + "step": 25454 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2261, + "step": 25455 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 25456 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 25457 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.281, + "step": 25458 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2839, + "step": 25459 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2035, + "step": 25460 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 25461 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2524, + "step": 25462 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 25463 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 25464 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25465 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2929, + "step": 25466 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2794, + "step": 25467 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.3184, + "step": 25468 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 25469 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2372, + "step": 25470 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 25471 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 25472 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2772, + "step": 25473 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 25474 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 25475 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2019, + "step": 25476 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 25477 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2256, + "step": 25478 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 25479 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 25480 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 25481 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 25482 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 25483 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2996, + "step": 25484 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 25485 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 25486 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25487 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 25488 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 25489 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 25490 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 25491 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 25492 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 25493 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.223, + "step": 25494 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 25495 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 25496 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 25497 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 25498 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 25499 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 25500 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2992, + "step": 25501 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 25502 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 25503 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 25504 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 25505 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2174, + "step": 25506 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2473, + "step": 25507 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 25508 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 25509 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 25510 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 25511 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.3031, + "step": 25512 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2763, + "step": 25513 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 25514 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 25515 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 25516 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 25517 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2852, + "step": 25518 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2693, + "step": 25519 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 25520 + }, + { + "epoch": 2.82, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 25521 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2219, + "step": 25522 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 25523 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2692, + "step": 25524 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 25525 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 25526 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 25527 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 25528 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 25529 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2846, + "step": 25530 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.3135, + "step": 25531 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 25532 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 25533 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 25534 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2253, + "step": 25535 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 25536 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2157, + "step": 25537 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2936, + "step": 25538 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 25539 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 25540 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 25541 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 25542 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 25543 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 25544 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 25545 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 25546 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2497, + "step": 25547 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 25548 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 25549 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 25550 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 25551 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2066, + "step": 25552 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 25553 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.3156, + "step": 25554 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 25555 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 25556 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 25557 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 25558 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 25559 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 25560 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 25561 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 25562 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 25563 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 25564 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2646, + "step": 25565 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2087, + "step": 25566 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2853, + "step": 25567 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 25568 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 25569 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 25570 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 25571 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 25572 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 25573 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 25574 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 25575 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 25576 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.3095, + "step": 25577 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 25578 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 25579 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 25580 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 25581 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 25582 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 25583 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 25584 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 25585 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 25586 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 25587 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 25588 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 25589 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 25590 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2775, + "step": 25591 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 25592 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 25593 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 25594 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 25595 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 25596 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 25597 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2878, + "step": 25598 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 25599 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 25600 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 25601 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 25602 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 25603 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 25604 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2086, + "step": 25605 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 25606 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2361, + "step": 25607 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 25608 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2798, + "step": 25609 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 25610 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 25611 + }, + { + "epoch": 2.83, + "learning_rate": 2e-05, + "loss": 0.2151, + "step": 25612 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 25613 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.227, + "step": 25614 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 25615 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2511, + "step": 25616 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 25617 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2908, + "step": 25618 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 25619 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 25620 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 25621 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 25622 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 25623 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2801, + "step": 25624 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 25625 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2434, + "step": 25626 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 25627 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 25628 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 25629 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 25630 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 25631 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2223, + "step": 25632 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25633 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.233, + "step": 25634 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 25635 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 25636 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 25637 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 25638 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 25639 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 25640 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 25641 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2453, + "step": 25642 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 25643 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 25644 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 25645 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2852, + "step": 25646 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 25647 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 25648 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 25649 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.3254, + "step": 25650 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 25651 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.3204, + "step": 25652 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 25653 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2722, + "step": 25654 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2793, + "step": 25655 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 25656 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 25657 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 25658 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2844, + "step": 25659 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 25660 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2941, + "step": 25661 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 25662 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 25663 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2015, + "step": 25664 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2677, + "step": 25665 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 25666 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 25667 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2224, + "step": 25668 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2218, + "step": 25669 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2075, + "step": 25670 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 25671 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 25672 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2956, + "step": 25673 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 25674 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2864, + "step": 25675 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 25676 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 25677 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2154, + "step": 25678 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2865, + "step": 25679 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2229, + "step": 25680 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.26, + "step": 25681 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 25682 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2457, + "step": 25683 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 25684 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.3099, + "step": 25685 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2997, + "step": 25686 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2743, + "step": 25687 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 25688 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 25689 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 25690 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 25691 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.277, + "step": 25692 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 25693 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 25694 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 25695 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 25696 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 25697 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2744, + "step": 25698 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 25699 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 25700 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2542, + "step": 25701 + }, + { + "epoch": 2.84, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 25702 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2962, + "step": 25703 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 25704 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 25705 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 25706 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2909, + "step": 25707 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2957, + "step": 25708 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 25709 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 25710 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 25711 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 25712 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 25713 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 25714 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 25715 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.1969, + "step": 25716 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 25717 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 25718 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2787, + "step": 25719 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 25720 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.3125, + "step": 25721 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2629, + "step": 25722 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.3072, + "step": 25723 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 25724 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 25725 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2742, + "step": 25726 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2889, + "step": 25727 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 25728 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2827, + "step": 25729 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 25730 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.27, + "step": 25731 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 25732 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.249, + "step": 25733 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 25734 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.3126, + "step": 25735 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2732, + "step": 25736 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 25737 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 25738 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2187, + "step": 25739 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 25740 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 25741 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 25742 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 25743 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2646, + "step": 25744 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 25745 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 25746 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 25747 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 25748 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 25749 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2902, + "step": 25750 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.199, + "step": 25751 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 25752 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 25753 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 25754 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2808, + "step": 25755 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 25756 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 25757 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2666, + "step": 25758 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2226, + "step": 25759 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2704, + "step": 25760 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 25761 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2929, + "step": 25762 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 25763 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 25764 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.299, + "step": 25765 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2353, + "step": 25766 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 25767 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2599, + "step": 25768 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2546, + "step": 25769 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2944, + "step": 25770 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2621, + "step": 25771 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 25772 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 25773 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2755, + "step": 25774 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 25775 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 25776 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 25777 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 25778 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2585, + "step": 25779 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2982, + "step": 25780 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 25781 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.3055, + "step": 25782 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2727, + "step": 25783 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 25784 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 25785 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2843, + "step": 25786 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 25787 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 25788 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 25789 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 25790 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2266, + "step": 25791 + }, + { + "epoch": 2.85, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 25792 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 25793 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 25794 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 25795 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 25796 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 25797 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 25798 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 25799 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.274, + "step": 25800 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2648, + "step": 25801 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 25802 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2263, + "step": 25803 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 25804 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 25805 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2745, + "step": 25806 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 25807 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 25808 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2834, + "step": 25809 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 25810 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 25811 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 25812 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 25813 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 25814 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25815 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2246, + "step": 25816 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.237, + "step": 25817 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 25818 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2319, + "step": 25819 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 25820 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 25821 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2155, + "step": 25822 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 25823 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 25824 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25825 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 25826 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 25827 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 25828 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 25829 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 25830 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2329, + "step": 25831 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2794, + "step": 25832 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.3131, + "step": 25833 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 25834 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 25835 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 25836 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 25837 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 25838 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 25839 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 25840 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2537, + "step": 25841 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 25842 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2293, + "step": 25843 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2557, + "step": 25844 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 25845 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 25846 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 25847 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 25848 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 25849 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2068, + "step": 25850 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2876, + "step": 25851 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.224, + "step": 25852 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 25853 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 25854 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 25855 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2793, + "step": 25856 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 25857 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.288, + "step": 25858 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.259, + "step": 25859 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2286, + "step": 25860 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 25861 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 25862 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2754, + "step": 25863 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.3005, + "step": 25864 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 25865 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 25866 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 25867 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2732, + "step": 25868 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 25869 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2598, + "step": 25870 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2807, + "step": 25871 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.259, + "step": 25872 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 25873 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2535, + "step": 25874 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 25875 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 25876 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2728, + "step": 25877 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 25878 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 25879 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 25880 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 25881 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 25882 + }, + { + "epoch": 2.86, + "learning_rate": 2e-05, + "loss": 0.2041, + "step": 25883 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2803, + "step": 25884 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2107, + "step": 25885 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2383, + "step": 25886 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3143, + "step": 25887 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 25888 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3169, + "step": 25889 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2119, + "step": 25890 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 25891 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 25892 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 25893 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.304, + "step": 25894 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2211, + "step": 25895 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 25896 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2071, + "step": 25897 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 25898 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3143, + "step": 25899 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2765, + "step": 25900 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3084, + "step": 25901 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2491, + "step": 25902 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2783, + "step": 25903 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 25904 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 25905 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 25906 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2767, + "step": 25907 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 25908 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2137, + "step": 25909 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2832, + "step": 25910 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2795, + "step": 25911 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 25912 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2258, + "step": 25913 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 25914 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 25915 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 25916 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.276, + "step": 25917 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 25918 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 25919 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 25920 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2981, + "step": 25921 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2615, + "step": 25922 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 25923 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 25924 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 25925 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 25926 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 25927 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 25928 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2787, + "step": 25929 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2124, + "step": 25930 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 25931 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 25932 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2665, + "step": 25933 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 25934 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.217, + "step": 25935 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 25936 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3069, + "step": 25937 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.219, + "step": 25938 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2824, + "step": 25939 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 25940 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2544, + "step": 25941 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2887, + "step": 25942 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 25943 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 25944 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.282, + "step": 25945 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.3012, + "step": 25946 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 25947 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2817, + "step": 25948 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 25949 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2472, + "step": 25950 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 25951 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 25952 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 25953 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2597, + "step": 25954 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 25955 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2355, + "step": 25956 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 25957 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2844, + "step": 25958 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.339, + "step": 25959 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2837, + "step": 25960 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 25961 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 25962 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 25963 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2778, + "step": 25964 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 25965 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 25966 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 25967 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 25968 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2751, + "step": 25969 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 25970 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 25971 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.2059, + "step": 25972 + }, + { + "epoch": 2.87, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 25973 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 25974 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2736, + "step": 25975 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2634, + "step": 25976 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2523, + "step": 25977 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 25978 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.3026, + "step": 25979 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2098, + "step": 25980 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 25981 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2169, + "step": 25982 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2265, + "step": 25983 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2041, + "step": 25984 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 25985 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 25986 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 25987 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 25988 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 25989 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 25990 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.3194, + "step": 25991 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2241, + "step": 25992 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 25993 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 25994 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 25995 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2347, + "step": 25996 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 25997 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2072, + "step": 25998 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 25999 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 26000 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 26001 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 26002 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 26003 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 26004 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 26005 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 26006 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2069, + "step": 26007 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 26008 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 26009 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 26010 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 26011 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2316, + "step": 26012 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2848, + "step": 26013 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 26014 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 26015 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 26016 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 26017 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 26018 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 26019 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.1976, + "step": 26020 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 26021 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 26022 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 26023 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2613, + "step": 26024 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 26025 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2488, + "step": 26026 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 26027 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2273, + "step": 26028 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2552, + "step": 26029 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 26030 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 26031 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 26032 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.3075, + "step": 26033 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 26034 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 26035 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2902, + "step": 26036 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 26037 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 26038 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 26039 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2306, + "step": 26040 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2049, + "step": 26041 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2451, + "step": 26042 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2854, + "step": 26043 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 26044 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2928, + "step": 26045 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 26046 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 26047 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.1946, + "step": 26048 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 26049 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 26050 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2448, + "step": 26051 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2474, + "step": 26052 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2445, + "step": 26053 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 26054 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2044, + "step": 26055 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 26056 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.3094, + "step": 26057 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 26058 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 26059 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 26060 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 26061 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 26062 + }, + { + "epoch": 2.88, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 26063 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2929, + "step": 26064 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.294, + "step": 26065 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2179, + "step": 26066 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 26067 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 26068 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 26069 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2554, + "step": 26070 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 26071 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 26072 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2264, + "step": 26073 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 26074 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 26075 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 26076 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 26077 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 26078 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2173, + "step": 26079 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.308, + "step": 26080 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2092, + "step": 26081 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2918, + "step": 26082 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2999, + "step": 26083 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2689, + "step": 26084 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 26085 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 26086 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 26087 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 26088 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.3166, + "step": 26089 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2773, + "step": 26090 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2966, + "step": 26091 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 26092 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 26093 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2831, + "step": 26094 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 26095 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 26096 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 26097 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 26098 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 26099 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2613, + "step": 26100 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 26101 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2785, + "step": 26102 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.294, + "step": 26103 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 26104 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 26105 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 26106 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2723, + "step": 26107 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 26108 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 26109 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 26110 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.275, + "step": 26111 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 26112 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2785, + "step": 26113 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 26114 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 26115 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 26116 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2617, + "step": 26117 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 26118 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26119 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 26120 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 26121 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2713, + "step": 26122 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 26123 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 26124 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 26125 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 26126 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 26127 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.3063, + "step": 26128 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 26129 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 26130 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 26131 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 26132 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 26133 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2931, + "step": 26134 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 26135 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 26136 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 26137 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 26138 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2896, + "step": 26139 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26140 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 26141 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2602, + "step": 26142 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2194, + "step": 26143 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.253, + "step": 26144 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 26145 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2417, + "step": 26146 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 26147 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2746, + "step": 26148 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2102, + "step": 26149 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 26150 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.292, + "step": 26151 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 26152 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 26153 + }, + { + "epoch": 2.89, + "learning_rate": 2e-05, + "loss": 0.266, + "step": 26154 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 26155 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 26156 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 26157 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2156, + "step": 26158 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 26159 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2382, + "step": 26160 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 26161 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2289, + "step": 26162 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2674, + "step": 26163 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 26164 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2135, + "step": 26165 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 26166 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.1975, + "step": 26167 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2421, + "step": 26168 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 26169 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2146, + "step": 26170 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 26171 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 26172 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2747, + "step": 26173 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 26174 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 26175 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.298, + "step": 26176 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 26177 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 26178 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 26179 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 26180 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.242, + "step": 26181 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 26182 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 26183 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26184 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 26185 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2694, + "step": 26186 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 26187 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 26188 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 26189 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2068, + "step": 26190 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2239, + "step": 26191 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2843, + "step": 26192 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 26193 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 26194 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 26195 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 26196 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2836, + "step": 26197 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 26198 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 26199 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 26200 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2269, + "step": 26201 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 26202 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 26203 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 26204 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 26205 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 26206 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 26207 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2919, + "step": 26208 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 26209 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2479, + "step": 26210 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 26211 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2813, + "step": 26212 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26213 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 26214 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 26215 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2112, + "step": 26216 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 26217 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 26218 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.3305, + "step": 26219 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2787, + "step": 26220 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2371, + "step": 26221 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 26222 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2657, + "step": 26223 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 26224 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2656, + "step": 26225 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2124, + "step": 26226 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2676, + "step": 26227 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2494, + "step": 26228 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 26229 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 26230 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 26231 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 26232 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2921, + "step": 26233 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2309, + "step": 26234 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 26235 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2866, + "step": 26236 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26237 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 26238 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.3021, + "step": 26239 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 26240 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 26241 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 26242 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2384, + "step": 26243 + }, + { + "epoch": 2.9, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 26244 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2236, + "step": 26245 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 26246 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 26247 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 26248 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 26249 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 26250 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 26251 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 26252 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 26253 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2501, + "step": 26254 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 26255 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2127, + "step": 26256 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.1951, + "step": 26257 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 26258 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2343, + "step": 26259 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 26260 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2423, + "step": 26261 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 26262 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2925, + "step": 26263 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.3445, + "step": 26264 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 26265 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 26266 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 26267 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2831, + "step": 26268 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 26269 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2165, + "step": 26270 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2084, + "step": 26271 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2395, + "step": 26272 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.225, + "step": 26273 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2681, + "step": 26274 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 26275 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 26276 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 26277 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2213, + "step": 26278 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 26279 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2564, + "step": 26280 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2644, + "step": 26281 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 26282 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 26283 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 26284 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2611, + "step": 26285 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2049, + "step": 26286 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.3109, + "step": 26287 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.1913, + "step": 26288 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 26289 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2404, + "step": 26290 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2591, + "step": 26291 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.222, + "step": 26292 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 26293 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 26294 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2858, + "step": 26295 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2442, + "step": 26296 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 26297 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 26298 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2942, + "step": 26299 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 26300 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 26301 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2469, + "step": 26302 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.258, + "step": 26303 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2986, + "step": 26304 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2936, + "step": 26305 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 26306 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 26307 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 26308 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 26309 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 26310 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 26311 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2757, + "step": 26312 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2592, + "step": 26313 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26314 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 26315 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 26316 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.274, + "step": 26317 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 26318 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 26319 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2607, + "step": 26320 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2278, + "step": 26321 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.3156, + "step": 26322 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2838, + "step": 26323 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 26324 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2697, + "step": 26325 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 26326 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2604, + "step": 26327 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 26328 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2734, + "step": 26329 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 26330 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 26331 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 26332 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2189, + "step": 26333 + }, + { + "epoch": 2.91, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 26334 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2432, + "step": 26335 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 26336 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 26337 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26338 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 26339 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2811, + "step": 26340 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2759, + "step": 26341 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 26342 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2439, + "step": 26343 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2314, + "step": 26344 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 26345 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 26346 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2093, + "step": 26347 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2651, + "step": 26348 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2509, + "step": 26349 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.214, + "step": 26350 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2589, + "step": 26351 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 26352 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2392, + "step": 26353 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 26354 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 26355 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2168, + "step": 26356 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 26357 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 26358 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2752, + "step": 26359 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 26360 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2458, + "step": 26361 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 26362 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 26363 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 26364 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 26365 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 26366 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2928, + "step": 26367 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 26368 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2807, + "step": 26369 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 26370 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 26371 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 26372 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2158, + "step": 26373 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2929, + "step": 26374 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2669, + "step": 26375 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 26376 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 26377 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2536, + "step": 26378 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 26379 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 26380 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 26381 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2637, + "step": 26382 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 26383 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2571, + "step": 26384 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 26385 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.3175, + "step": 26386 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2489, + "step": 26387 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 26388 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2464, + "step": 26389 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 26390 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 26391 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 26392 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 26393 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 26394 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2362, + "step": 26395 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.246, + "step": 26396 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 26397 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 26398 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 26399 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.291, + "step": 26400 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 26401 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2806, + "step": 26402 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 26403 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2461, + "step": 26404 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 26405 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2431, + "step": 26406 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 26407 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 26408 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2788, + "step": 26409 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 26410 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 26411 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2668, + "step": 26412 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2898, + "step": 26413 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2493, + "step": 26414 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 26415 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.25, + "step": 26416 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 26417 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 26418 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 26419 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 26420 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 26421 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 26422 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2551, + "step": 26423 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2378, + "step": 26424 + }, + { + "epoch": 2.92, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 26425 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 26426 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 26427 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2337, + "step": 26428 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26429 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 26430 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 26431 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2449, + "step": 26432 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 26433 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2267, + "step": 26434 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2279, + "step": 26435 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.272, + "step": 26436 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2251, + "step": 26437 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 26438 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 26439 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 26440 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 26441 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2505, + "step": 26442 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 26443 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 26444 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 26445 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2556, + "step": 26446 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 26447 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 26448 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 26449 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 26450 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.287, + "step": 26451 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 26452 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 26453 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 26454 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2482, + "step": 26455 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.265, + "step": 26456 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.291, + "step": 26457 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2418, + "step": 26458 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 26459 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2548, + "step": 26460 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2294, + "step": 26461 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 26462 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 26463 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2341, + "step": 26464 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 26465 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 26466 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2793, + "step": 26467 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26468 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 26469 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 26470 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 26471 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2701, + "step": 26472 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.1908, + "step": 26473 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2945, + "step": 26474 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.239, + "step": 26475 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2145, + "step": 26476 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 26477 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2786, + "step": 26478 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2719, + "step": 26479 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2331, + "step": 26480 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2723, + "step": 26481 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 26482 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2441, + "step": 26483 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2227, + "step": 26484 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 26485 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 26486 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 26487 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2862, + "step": 26488 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2741, + "step": 26489 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2401, + "step": 26490 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2142, + "step": 26491 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2574, + "step": 26492 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2513, + "step": 26493 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2496, + "step": 26494 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2345, + "step": 26495 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2365, + "step": 26496 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2477, + "step": 26497 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.3331, + "step": 26498 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 26499 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2695, + "step": 26500 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 26501 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 26502 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 26503 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26504 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 26505 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2829, + "step": 26506 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 26507 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2907, + "step": 26508 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2687, + "step": 26509 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2902, + "step": 26510 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2519, + "step": 26511 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 26512 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.23, + "step": 26513 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2485, + "step": 26514 + }, + { + "epoch": 2.93, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 26515 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2197, + "step": 26516 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 26517 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 26518 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3257, + "step": 26519 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 26520 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3107, + "step": 26521 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2507, + "step": 26522 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 26523 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.254, + "step": 26524 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2232, + "step": 26525 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 26526 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 26527 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2285, + "step": 26528 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 26529 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 26530 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2288, + "step": 26531 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 26532 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2555, + "step": 26533 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 26534 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3146, + "step": 26535 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2943, + "step": 26536 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 26537 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2774, + "step": 26538 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2221, + "step": 26539 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2827, + "step": 26540 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2462, + "step": 26541 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2845, + "step": 26542 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 26543 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2853, + "step": 26544 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 26545 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3311, + "step": 26546 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 26547 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2388, + "step": 26548 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2275, + "step": 26549 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2587, + "step": 26550 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2686, + "step": 26551 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.234, + "step": 26552 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2703, + "step": 26553 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 26554 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 26555 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.4137, + "step": 26556 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2406, + "step": 26557 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 26558 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2444, + "step": 26559 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2483, + "step": 26560 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 26561 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 26562 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2987, + "step": 26563 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2829, + "step": 26564 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2612, + "step": 26565 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2653, + "step": 26566 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 26567 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 26568 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2639, + "step": 26569 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2393, + "step": 26570 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 26571 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2446, + "step": 26572 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2209, + "step": 26573 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 26574 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 26575 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2452, + "step": 26576 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2475, + "step": 26577 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 26578 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2559, + "step": 26579 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2912, + "step": 26580 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3474, + "step": 26581 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2419, + "step": 26582 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.303, + "step": 26583 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2753, + "step": 26584 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 26585 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2247, + "step": 26586 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 26587 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3011, + "step": 26588 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2375, + "step": 26589 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.3188, + "step": 26590 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 26591 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 26592 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2386, + "step": 26593 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2377, + "step": 26594 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2368, + "step": 26595 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 26596 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 26597 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2105, + "step": 26598 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 26599 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 26600 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2205, + "step": 26601 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 26602 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2374, + "step": 26603 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 26604 + }, + { + "epoch": 2.94, + "learning_rate": 2e-05, + "loss": 0.279, + "step": 26605 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.236, + "step": 26606 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.278, + "step": 26607 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2638, + "step": 26608 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 26609 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2206, + "step": 26610 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2547, + "step": 26611 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 26612 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 26613 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 26614 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2683, + "step": 26615 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 26616 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2829, + "step": 26617 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2806, + "step": 26618 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2966, + "step": 26619 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 26620 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2621, + "step": 26621 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2429, + "step": 26622 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2779, + "step": 26623 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2881, + "step": 26624 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 26625 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 26626 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 26627 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.1985, + "step": 26628 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 26629 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2407, + "step": 26630 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 26631 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2834, + "step": 26632 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 26633 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 26634 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2626, + "step": 26635 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2879, + "step": 26636 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2849, + "step": 26637 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2864, + "step": 26638 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 26639 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2875, + "step": 26640 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2955, + "step": 26641 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2545, + "step": 26642 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 26643 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2899, + "step": 26644 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2572, + "step": 26645 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2303, + "step": 26646 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.1993, + "step": 26647 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 26648 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 26649 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 26650 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2731, + "step": 26651 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 26652 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2164, + "step": 26653 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2541, + "step": 26654 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2237, + "step": 26655 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 26656 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2498, + "step": 26657 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 26658 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2539, + "step": 26659 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.3059, + "step": 26660 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 26661 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2801, + "step": 26662 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 26663 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2874, + "step": 26664 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 26665 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 26666 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2976, + "step": 26667 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2702, + "step": 26668 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2081, + "step": 26669 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2437, + "step": 26670 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2499, + "step": 26671 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2789, + "step": 26672 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2334, + "step": 26673 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2943, + "step": 26674 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2847, + "step": 26675 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 26676 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2022, + "step": 26677 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2323, + "step": 26678 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2522, + "step": 26679 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.221, + "step": 26680 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 26681 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 26682 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 26683 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2312, + "step": 26684 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2936, + "step": 26685 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2526, + "step": 26686 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 26687 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 26688 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2754, + "step": 26689 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2603, + "step": 26690 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2872, + "step": 26691 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.3001, + "step": 26692 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2712, + "step": 26693 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2754, + "step": 26694 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 26695 + }, + { + "epoch": 2.95, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 26696 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.3006, + "step": 26697 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 26698 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2833, + "step": 26699 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2486, + "step": 26700 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.1903, + "step": 26701 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.238, + "step": 26702 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 26703 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2467, + "step": 26704 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2415, + "step": 26705 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 26706 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2521, + "step": 26707 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2326, + "step": 26708 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2348, + "step": 26709 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2582, + "step": 26710 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2534, + "step": 26711 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2512, + "step": 26712 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2973, + "step": 26713 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 26714 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2422, + "step": 26715 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 26716 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2672, + "step": 26717 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 26718 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 26719 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2484, + "step": 26720 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 26721 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.235, + "step": 26722 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2575, + "step": 26723 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 26724 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2841, + "step": 26725 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.267, + "step": 26726 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.229, + "step": 26727 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.3031, + "step": 26728 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2274, + "step": 26729 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 26730 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2506, + "step": 26731 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2951, + "step": 26732 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2733, + "step": 26733 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 26734 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 26735 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 26736 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2436, + "step": 26737 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2465, + "step": 26738 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2328, + "step": 26739 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2528, + "step": 26740 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 26741 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 26742 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 26743 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2225, + "step": 26744 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.269, + "step": 26745 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2618, + "step": 26746 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 26747 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 26748 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2828, + "step": 26749 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.319, + "step": 26750 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 26751 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2079, + "step": 26752 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2907, + "step": 26753 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2096, + "step": 26754 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 26755 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.3299, + "step": 26756 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2581, + "step": 26757 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 26758 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 26759 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2643, + "step": 26760 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2561, + "step": 26761 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.271, + "step": 26762 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2782, + "step": 26763 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2104, + "step": 26764 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.312, + "step": 26765 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 26766 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.248, + "step": 26767 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 26768 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2495, + "step": 26769 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 26770 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 26771 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2182, + "step": 26772 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2525, + "step": 26773 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 26774 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 26775 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.307, + "step": 26776 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2813, + "step": 26777 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2262, + "step": 26778 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 26779 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 26780 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2764, + "step": 26781 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2645, + "step": 26782 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 26783 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 26784 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 26785 + }, + { + "epoch": 2.96, + "learning_rate": 2e-05, + "loss": 0.263, + "step": 26786 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 26787 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2567, + "step": 26788 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2322, + "step": 26789 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2584, + "step": 26790 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.282, + "step": 26791 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2679, + "step": 26792 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2933, + "step": 26793 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2958, + "step": 26794 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 26795 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2706, + "step": 26796 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2867, + "step": 26797 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 26798 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2095, + "step": 26799 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.251, + "step": 26800 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 26801 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2077, + "step": 26802 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2295, + "step": 26803 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.3262, + "step": 26804 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2776, + "step": 26805 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.293, + "step": 26806 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2566, + "step": 26807 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2719, + "step": 26808 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2447, + "step": 26809 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 26810 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2282, + "step": 26811 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2394, + "step": 26812 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 26813 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2515, + "step": 26814 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2883, + "step": 26815 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.228, + "step": 26816 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2941, + "step": 26817 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2893, + "step": 26818 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2399, + "step": 26819 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 26820 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2199, + "step": 26821 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2802, + "step": 26822 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2527, + "step": 26823 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.296, + "step": 26824 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2927, + "step": 26825 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 26826 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2349, + "step": 26827 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 26828 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.3065, + "step": 26829 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2837, + "step": 26830 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2159, + "step": 26831 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 26832 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 26833 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 26834 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2504, + "step": 26835 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2335, + "step": 26836 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2854, + "step": 26837 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2332, + "step": 26838 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2318, + "step": 26839 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 26840 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2342, + "step": 26841 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2583, + "step": 26842 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2192, + "step": 26843 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 26844 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2716, + "step": 26845 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2307, + "step": 26846 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.287, + "step": 26847 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 26848 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 26849 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 26850 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 26851 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2411, + "step": 26852 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 26853 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.205, + "step": 26854 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2405, + "step": 26855 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 26856 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.3322, + "step": 26857 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.241, + "step": 26858 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 26859 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 26860 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2573, + "step": 26861 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2784, + "step": 26862 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2816, + "step": 26863 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2131, + "step": 26864 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26865 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2943, + "step": 26866 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2426, + "step": 26867 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.3013, + "step": 26868 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 26869 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2762, + "step": 26870 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.4755, + "step": 26871 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2899, + "step": 26872 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2064, + "step": 26873 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2324, + "step": 26874 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2357, + "step": 26875 + }, + { + "epoch": 2.97, + "learning_rate": 2e-05, + "loss": 0.2167, + "step": 26876 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 26877 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2842, + "step": 26878 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2801, + "step": 26879 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 26880 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2413, + "step": 26881 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2662, + "step": 26882 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2725, + "step": 26883 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2354, + "step": 26884 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2245, + "step": 26885 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2681, + "step": 26886 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 26887 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.287, + "step": 26888 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2667, + "step": 26889 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2588, + "step": 26890 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 26891 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2832, + "step": 26892 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2185, + "step": 26893 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2518, + "step": 26894 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2367, + "step": 26895 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 26896 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 26897 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2268, + "step": 26898 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2438, + "step": 26899 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2428, + "step": 26900 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 26901 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 26902 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 26903 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2654, + "step": 26904 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2818, + "step": 26905 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2055, + "step": 26906 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2414, + "step": 26907 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2427, + "step": 26908 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2915, + "step": 26909 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 26910 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.268, + "step": 26911 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2389, + "step": 26912 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2847, + "step": 26913 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 26914 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2391, + "step": 26915 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2613, + "step": 26916 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2379, + "step": 26917 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2538, + "step": 26918 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2627, + "step": 26919 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2409, + "step": 26920 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2208, + "step": 26921 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2403, + "step": 26922 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2605, + "step": 26923 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2715, + "step": 26924 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 26925 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2425, + "step": 26926 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2621, + "step": 26927 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 26928 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2412, + "step": 26929 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 26930 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.21, + "step": 26931 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.298, + "step": 26932 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 26933 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2195, + "step": 26934 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 26935 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2973, + "step": 26936 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 26937 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2302, + "step": 26938 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2717, + "step": 26939 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2616, + "step": 26940 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2468, + "step": 26941 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.244, + "step": 26942 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2691, + "step": 26943 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.345, + "step": 26944 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2333, + "step": 26945 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2529, + "step": 26946 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.257, + "step": 26947 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2234, + "step": 26948 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 26949 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2517, + "step": 26950 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2601, + "step": 26951 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2385, + "step": 26952 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.3053, + "step": 26953 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2317, + "step": 26954 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2954, + "step": 26955 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2576, + "step": 26956 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2631, + "step": 26957 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.212, + "step": 26958 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2216, + "step": 26959 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.264, + "step": 26960 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2951, + "step": 26961 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2514, + "step": 26962 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2196, + "step": 26963 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2433, + "step": 26964 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2658, + "step": 26965 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2398, + "step": 26966 + }, + { + "epoch": 2.98, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 26967 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2492, + "step": 26968 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2533, + "step": 26969 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 26970 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2466, + "step": 26971 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2532, + "step": 26972 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2321, + "step": 26973 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2882, + "step": 26974 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2313, + "step": 26975 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2623, + "step": 26976 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.255, + "step": 26977 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2586, + "step": 26978 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2735, + "step": 26979 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2373, + "step": 26980 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2682, + "step": 26981 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 26982 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2578, + "step": 26983 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2577, + "step": 26984 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2231, + "step": 26985 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 26986 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2271, + "step": 26987 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.1927, + "step": 26988 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.28, + "step": 26989 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2315, + "step": 26990 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2814, + "step": 26991 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 26992 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2327, + "step": 26993 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2456, + "step": 26994 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2126, + "step": 26995 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.247, + "step": 26996 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2553, + "step": 26997 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2117, + "step": 26998 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 26999 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2402, + "step": 27000 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.3248, + "step": 27001 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.28, + "step": 27002 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2272, + "step": 27003 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2352, + "step": 27004 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2346, + "step": 27005 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2338, + "step": 27006 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2026, + "step": 27007 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2632, + "step": 27008 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2733, + "step": 27009 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2711, + "step": 27010 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.303, + "step": 27011 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2358, + "step": 27012 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2543, + "step": 27013 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2642, + "step": 27014 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2244, + "step": 27015 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2709, + "step": 27016 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2463, + "step": 27017 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2723, + "step": 27018 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2929, + "step": 27019 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2562, + "step": 27020 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2739, + "step": 27021 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 27022 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 27023 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2906, + "step": 27024 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2531, + "step": 27025 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2291, + "step": 27026 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2191, + "step": 27027 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2698, + "step": 27028 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2257, + "step": 27029 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2943, + "step": 27030 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2688, + "step": 27031 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2685, + "step": 27032 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2201, + "step": 27033 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2659, + "step": 27034 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2649, + "step": 27035 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2292, + "step": 27036 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2843, + "step": 27037 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2984, + "step": 27038 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2724, + "step": 27039 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2641, + "step": 27040 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2595, + "step": 27041 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.262, + "step": 27042 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2609, + "step": 27043 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2628, + "step": 27044 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2812, + "step": 27045 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.252, + "step": 27046 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2416, + "step": 27047 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.3237, + "step": 27048 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2663, + "step": 27049 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.245, + "step": 27050 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2184, + "step": 27051 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2801, + "step": 27052 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2443, + "step": 27053 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2594, + "step": 27054 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2825, + "step": 27055 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2487, + "step": 27056 + }, + { + "epoch": 2.99, + "learning_rate": 2e-05, + "loss": 0.2301, + "step": 27057 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2815, + "step": 27058 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2624, + "step": 27059 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2664, + "step": 27060 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.3633, + "step": 27061 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2703, + "step": 27062 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2908, + "step": 27063 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2678, + "step": 27064 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2249, + "step": 27065 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2699, + "step": 27066 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2366, + "step": 27067 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2766, + "step": 27068 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2364, + "step": 27069 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2076, + "step": 27070 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2455, + "step": 27071 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.206, + "step": 27072 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2351, + "step": 27073 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2478, + "step": 27074 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2281, + "step": 27075 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2459, + "step": 27076 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2277, + "step": 27077 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2424, + "step": 27078 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2148, + "step": 27079 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.24, + "step": 27080 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2984, + "step": 27081 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2622, + "step": 27082 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2625, + "step": 27083 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2387, + "step": 27084 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2873, + "step": 27085 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2635, + "step": 27086 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2508, + "step": 27087 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2565, + "step": 27088 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2519, + "step": 27089 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2563, + "step": 27090 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2311, + "step": 27091 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2705, + "step": 27092 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2344, + "step": 27093 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2408, + "step": 27094 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2339, + "step": 27095 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2732, + "step": 27096 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2568, + "step": 27097 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2454, + "step": 27098 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2769, + "step": 27099 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2652, + "step": 27100 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.2435, + "step": 27101 + }, + { + "epoch": 3.0, + "learning_rate": 2e-05, + "loss": 0.284, + "step": 27102 + } + ], + "logging_steps": 1.0, + "max_steps": 27102, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 100.0, + "total_flos": 1039375693824000.0, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..93e15fc --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba2ad81bd88bab83630da1ecd0e0f0815b146d88248eea4423bff12c6c6e33e0 +size 6904