From 4bc56bcc37426c0591a46d23530a32629c7efae4 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Sun, 4 Oct 2026 23:11:27 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: Proactive-Interactive-R1/Proactive-Interactive-R1-SFT-7B Source: Original Platform --- .gitattributes | 36 + README.md | 65 + all_results.json | 8 + chat_template.jinja | 1 + config.json | 59 + generation_config.json | 9 + model-00001-of-00004.safetensors | 3 + model-00002-of-00004.safetensors | 3 + model-00003-of-00004.safetensors | 3 + model-00004-of-00004.safetensors | 3 + model.safetensors.index.json | 347 ++++ special_tokens_map.json | 23 + tokenizer.json | 3 + tokenizer_config.json | 228 +++ train_results.json | 8 + trainer_log.jsonl | 376 +++++ trainer_state.json | 2668 ++++++++++++++++++++++++++++++ training_args.bin | 3 + training_loss.png | Bin 0 -> 52614 bytes 19 files changed, 3846 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 all_results.json create mode 100644 chat_template.jinja create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model-00001-of-00004.safetensors create mode 100644 model-00002-of-00004.safetensors create mode 100644 model-00003-of-00004.safetensors create mode 100644 model-00004-of-00004.safetensors create mode 100644 model.safetensors.index.json create mode 100644 special_tokens_map.json create mode 100644 tokenizer.json create mode 100644 tokenizer_config.json create mode 100644 train_results.json create mode 100644 trainer_log.jsonl create mode 100644 trainer_state.json create mode 100644 training_args.bin create mode 100644 training_loss.png diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..52373fe --- /dev/null +++ b/.gitattributes @@ -0,0 +1,36 @@ +*.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 +tokenizer.json filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..baba06c --- /dev/null +++ b/README.md @@ -0,0 +1,65 @@ +--- +library_name: transformers +license: apache-2.0 +base_model: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B +tags: +- llama-factory +- full +- generated_from_trainer +model-index: +- name: Proactive-Interactive-R1-SFT-7B + results: [] +datasets: +- Proactive-Interactive-R1/Reasoning-While-Asking-SFT-Dataset +language: +- en +--- + + + +# Proactive-Interactive-R1-SFT-7B + +This model is a fine-tuned version of [deepseek-ai/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co/deepseek-ai/DeepSeek-R1-Distill-Qwen-7B) on the Reasoning-While-Asking-SFT-Dataset dataset. + +## Model description + +More information needed + +## Intended uses & limitations + +More information needed + +## Training and evaluation data + +More information needed + +## Training procedure + +### Training hyperparameters + +The following hyperparameters were used during training: +- max_samples: 4000 +- learning_rate: 1e-05 +- train_batch_size: 8 +- eval_batch_size: 8 +- seed: 42 +- distributed_type: multi-GPU +- num_devices: 4 +- total_train_batch_size: 32 +- total_eval_batch_size: 32 +- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments +- lr_scheduler_type: cosine +- lr_scheduler_warmup_ratio: 0.03 +- num_epochs: 3 + +### Training results + + + +### Framework versions + +- Transformers 4.55.0 +- Pytorch 2.8.0+cu128 +- Datasets 3.6.0 +- Tokenizers 0.21.1 \ No newline at end of file diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..bc56b23 --- /dev/null +++ b/all_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 3.0, + "total_flos": 62777166004224.0, + "train_loss": 1.4248257904052735, + "train_runtime": 9087.8291, + "train_samples_per_second": 1.32, + "train_steps_per_second": 0.041 +} \ No newline at end of file diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..c2066bd --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1 @@ +{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\n' + '```json' + '\n' + tool['function']['arguments'] + '\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '' in content %}{% set content = content.split('')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|>\n'}}{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..624d863 --- /dev/null +++ b/config.json @@ -0,0 +1,59 @@ +{ + "architectures": [ + "Qwen2ForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "eos_token_id": 151643, + "hidden_act": "silu", + "hidden_size": 3584, + "initializer_range": 0.02, + "intermediate_size": 18944, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 131072, + "max_window_layers": 28, + "model_type": "qwen2", + "num_attention_heads": 28, + "num_hidden_layers": 28, + "num_key_value_heads": 4, + "rms_norm_eps": 1e-06, + "rope_scaling": null, + "rope_theta": 10000, + "sliding_window": null, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.55.0", + "use_cache": false, + "use_mrope": false, + "use_sliding_window": false, + "vocab_size": 152064 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..f665e48 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,9 @@ +{ + "_from_model_config": true, + "bos_token_id": 151646, + "do_sample": true, + "eos_token_id": 151643, + "temperature": 0.6, + "top_p": 0.95, + "transformers_version": "4.55.0" +} diff --git a/model-00001-of-00004.safetensors b/model-00001-of-00004.safetensors new file mode 100644 index 0000000..0dfb0b8 --- /dev/null +++ b/model-00001-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91d76e01cc39e9a5be9e51f64ff46395ca4a1d14e91d2afc16c34eef87f992ea +size 4877660776 diff --git a/model-00002-of-00004.safetensors b/model-00002-of-00004.safetensors new file mode 100644 index 0000000..e4c59a7 --- /dev/null +++ b/model-00002-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d4bafc232f862b482bff2d07a11dc62f7780f90e44a1afb13de3f8fde18905e5 +size 4932751008 diff --git a/model-00003-of-00004.safetensors b/model-00003-of-00004.safetensors new file mode 100644 index 0000000..143b2a3 --- /dev/null +++ b/model-00003-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ee8e907be773f54717181a73f0428b1c620c1d55ea171c78c55f7125f4d35f8c +size 4330865200 diff --git a/model-00004-of-00004.safetensors b/model-00004-of-00004.safetensors new file mode 100644 index 0000000..f080a99 --- /dev/null +++ b/model-00004-of-00004.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5e6aef40c495a0e8ff87ebe0119bd2df314361e75057946be3a4da3f1c85b4b8 +size 1089994880 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..098a4a8 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,347 @@ +{ + "metadata": { + "total_parameters": 333312, + "total_size": 15231233024 + }, + "weight_map": { + "lm_head.weight": "model-00004-of-00004.safetensors", + "model.embed_tokens.weight": "model-00001-of-00004.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.10.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.18.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.19.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.20.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.input_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.k_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.q_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.v_proj.bias": "model-00003-of-00004.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00003-of-00004.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.input_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.8.self_attn.k_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.q_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.v_proj.bias": "model-00001-of-00004.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00001-of-00004.safetensors", + "model.layers.9.input_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.k_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.q_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.v_proj.bias": "model-00002-of-00004.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00002-of-00004.safetensors", + "model.norm.weight": "model-00003-of-00004.safetensors" + } +} diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..1d385d6 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,23 @@ +{ + "bos_token": { + "content": "<|begin▁of▁sentence|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "<|end▁of▁sentence|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": { + "content": "<|end▁of▁sentence|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.json b/tokenizer.json new file mode 100644 index 0000000..fa3bc9d --- /dev/null +++ b/tokenizer.json @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c432089e073c2d6ebc34e2a62d8cb5b4760009134644dd89dc8d413bcf5c3c11 +size 11423522 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..55c260e --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,228 @@ +{ + "add_bos_token": false, + "add_eos_token": false, + "add_prefix_space": null, + "added_tokens_decoder": { + "151643": { + "content": "<|end▁of▁sentence|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151644": { + "content": "<|User|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151645": { + "content": "<|Assistant|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151646": { + "content": "<|begin▁of▁sentence|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151647": { + "content": "<|EOT|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151648": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "151649": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "151650": { + "content": "<|quad_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151651": { + "content": "<|quad_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151652": { + "content": "<|vision_start|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151653": { + "content": "<|vision_end|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151654": { + "content": "<|vision_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151655": { + "content": "<|image_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151656": { + "content": "<|video_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "151657": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151658": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151659": { + "content": "<|fim_prefix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151660": { + "content": "<|fim_middle|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151661": { + "content": "<|fim_suffix|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151662": { + "content": "<|fim_pad|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151663": { + "content": "<|repo_name|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151664": { + "content": "<|file_sep|>", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": false + }, + "151665": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "151666": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "151667": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + }, + "151668": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false, + "special": false + } + }, + "bos_token": "<|begin▁of▁sentence|>", + "clean_up_tokenization_spaces": false, + "eos_token": "<|end▁of▁sentence|>", + "extra_special_tokens": {}, + "legacy": true, + "model_max_length": 16384, + "pad_token": "<|end▁of▁sentence|>", + "padding_side": "right", + "sp_model_kwargs": {}, + "split_special_tokens": false, + "tokenizer_class": "LlamaTokenizerFast", + "unk_token": null, + "use_default_system_prompt": false +} diff --git a/train_results.json b/train_results.json new file mode 100644 index 0000000..bc56b23 --- /dev/null +++ b/train_results.json @@ -0,0 +1,8 @@ +{ + "epoch": 3.0, + "total_flos": 62777166004224.0, + "train_loss": 1.4248257904052735, + "train_runtime": 9087.8291, + "train_samples_per_second": 1.32, + "train_steps_per_second": 0.041 +} \ No newline at end of file diff --git a/trainer_log.jsonl b/trainer_log.jsonl new file mode 100644 index 0000000..b6f718c --- /dev/null +++ b/trainer_log.jsonl @@ -0,0 +1,376 @@ +{"current_steps": 1, "total_steps": 375, "loss": 2.3147, "lr": 0.0, "epoch": 0.008, "percentage": 0.27, "elapsed_time": "0:00:36", "remaining_time": "3:44:43"} +{"current_steps": 2, "total_steps": 375, "loss": 2.2195, "lr": 8.333333333333333e-07, "epoch": 0.016, "percentage": 0.53, "elapsed_time": "0:01:01", "remaining_time": "3:10:06"} +{"current_steps": 3, "total_steps": 375, "loss": 2.3793, "lr": 1.6666666666666667e-06, "epoch": 0.024, "percentage": 0.8, "elapsed_time": "0:01:25", "remaining_time": "2:56:31"} +{"current_steps": 4, "total_steps": 375, "loss": 2.2879, "lr": 2.5e-06, "epoch": 0.032, "percentage": 1.07, "elapsed_time": "0:01:50", "remaining_time": "2:50:15"} +{"current_steps": 5, "total_steps": 375, "loss": 2.2428, "lr": 3.3333333333333333e-06, "epoch": 0.04, "percentage": 1.33, "elapsed_time": "0:02:14", "remaining_time": "2:45:33"} +{"current_steps": 6, "total_steps": 375, "loss": 2.2197, "lr": 4.166666666666667e-06, "epoch": 0.048, "percentage": 1.6, "elapsed_time": "0:02:38", "remaining_time": "2:42:22"} +{"current_steps": 7, "total_steps": 375, "loss": 2.0332, "lr": 5e-06, "epoch": 0.056, "percentage": 1.87, "elapsed_time": "0:03:03", "remaining_time": "2:40:56"} +{"current_steps": 8, "total_steps": 375, "loss": 2.1247, "lr": 5.833333333333334e-06, "epoch": 0.064, "percentage": 2.13, "elapsed_time": "0:03:30", "remaining_time": "2:40:49"} +{"current_steps": 9, "total_steps": 375, "loss": 2.1694, "lr": 6.666666666666667e-06, "epoch": 0.072, "percentage": 2.4, "elapsed_time": "0:03:54", "remaining_time": "2:38:43"} +{"current_steps": 10, "total_steps": 375, "loss": 2.1108, "lr": 7.500000000000001e-06, "epoch": 0.08, "percentage": 2.67, "elapsed_time": "0:04:17", "remaining_time": "2:36:41"} +{"current_steps": 11, "total_steps": 375, "loss": 2.0756, "lr": 8.333333333333334e-06, "epoch": 0.088, "percentage": 2.93, "elapsed_time": "0:04:41", "remaining_time": "2:35:08"} +{"current_steps": 12, "total_steps": 375, "loss": 2.0886, "lr": 9.166666666666666e-06, "epoch": 0.096, "percentage": 3.2, "elapsed_time": "0:05:05", "remaining_time": "2:33:54"} +{"current_steps": 13, "total_steps": 375, "loss": 1.9143, "lr": 1e-05, "epoch": 0.104, "percentage": 3.47, "elapsed_time": "0:05:30", "remaining_time": "2:33:24"} +{"current_steps": 14, "total_steps": 375, "loss": 1.7421, "lr": 9.999812749151968e-06, "epoch": 0.112, "percentage": 3.73, "elapsed_time": "0:05:54", "remaining_time": "2:32:15"} +{"current_steps": 15, "total_steps": 375, "loss": 1.9555, "lr": 9.99925101063302e-06, "epoch": 0.12, "percentage": 4.0, "elapsed_time": "0:06:17", "remaining_time": "2:30:56"} +{"current_steps": 16, "total_steps": 375, "loss": 1.7679, "lr": 9.998314826517564e-06, "epoch": 0.128, "percentage": 4.27, "elapsed_time": "0:06:41", "remaining_time": "2:30:18"} +{"current_steps": 17, "total_steps": 375, "loss": 1.8436, "lr": 9.997004266926105e-06, "epoch": 0.136, "percentage": 4.53, "elapsed_time": "0:07:05", "remaining_time": "2:29:25"} +{"current_steps": 18, "total_steps": 375, "loss": 1.6908, "lr": 9.995319430020004e-06, "epoch": 0.144, "percentage": 4.8, "elapsed_time": "0:07:31", "remaining_time": "2:29:18"} +{"current_steps": 19, "total_steps": 375, "loss": 1.8093, "lr": 9.993260441994116e-06, "epoch": 0.152, "percentage": 5.07, "elapsed_time": "0:07:55", "remaining_time": "2:28:27"} +{"current_steps": 20, "total_steps": 375, "loss": 1.8674, "lr": 9.990827457067342e-06, "epoch": 0.16, "percentage": 5.33, "elapsed_time": "0:08:18", "remaining_time": "2:27:25"} +{"current_steps": 21, "total_steps": 375, "loss": 1.8742, "lr": 9.988020657471078e-06, "epoch": 0.168, "percentage": 5.6, "elapsed_time": "0:08:40", "remaining_time": "2:26:11"} +{"current_steps": 22, "total_steps": 375, "loss": 1.7627, "lr": 9.984840253435569e-06, "epoch": 0.176, "percentage": 5.87, "elapsed_time": "0:09:03", "remaining_time": "2:25:21"} +{"current_steps": 23, "total_steps": 375, "loss": 1.7632, "lr": 9.98128648317415e-06, "epoch": 0.184, "percentage": 6.13, "elapsed_time": "0:09:30", "remaining_time": "2:25:24"} +{"current_steps": 24, "total_steps": 375, "loss": 1.7992, "lr": 9.977359612865424e-06, "epoch": 0.192, "percentage": 6.4, "elapsed_time": "0:09:55", "remaining_time": "2:25:06"} +{"current_steps": 25, "total_steps": 375, "loss": 1.7215, "lr": 9.973059936633308e-06, "epoch": 0.2, "percentage": 6.67, "elapsed_time": "0:10:21", "remaining_time": "2:25:02"} +{"current_steps": 26, "total_steps": 375, "loss": 1.7456, "lr": 9.968387776525009e-06, "epoch": 0.208, "percentage": 6.93, "elapsed_time": "0:10:43", "remaining_time": "2:24:01"} +{"current_steps": 27, "total_steps": 375, "loss": 1.7512, "lr": 9.963343482486907e-06, "epoch": 0.216, "percentage": 7.2, "elapsed_time": "0:11:05", "remaining_time": "2:23:03"} +{"current_steps": 28, "total_steps": 375, "loss": 1.801, "lr": 9.957927432338332e-06, "epoch": 0.224, "percentage": 7.47, "elapsed_time": "0:11:28", "remaining_time": "2:22:16"} +{"current_steps": 29, "total_steps": 375, "loss": 1.7266, "lr": 9.952140031743282e-06, "epoch": 0.232, "percentage": 7.73, "elapsed_time": "0:11:52", "remaining_time": "2:21:46"} +{"current_steps": 30, "total_steps": 375, "loss": 1.8852, "lr": 9.945981714180021e-06, "epoch": 0.24, "percentage": 8.0, "elapsed_time": "0:12:15", "remaining_time": "2:20:53"} +{"current_steps": 31, "total_steps": 375, "loss": 1.6649, "lr": 9.939452940908627e-06, "epoch": 0.248, "percentage": 8.27, "elapsed_time": "0:12:36", "remaining_time": "2:19:51"} +{"current_steps": 32, "total_steps": 375, "loss": 1.7861, "lr": 9.932554200936428e-06, "epoch": 0.256, "percentage": 8.53, "elapsed_time": "0:12:59", "remaining_time": "2:19:18"} +{"current_steps": 33, "total_steps": 375, "loss": 1.7849, "lr": 9.925286010981394e-06, "epoch": 0.264, "percentage": 8.8, "elapsed_time": "0:13:23", "remaining_time": "2:18:42"} +{"current_steps": 34, "total_steps": 375, "loss": 1.8268, "lr": 9.917648915433413e-06, "epoch": 0.272, "percentage": 9.07, "elapsed_time": "0:13:48", "remaining_time": "2:18:27"} +{"current_steps": 35, "total_steps": 375, "loss": 1.7176, "lr": 9.909643486313533e-06, "epoch": 0.28, "percentage": 9.33, "elapsed_time": "0:14:13", "remaining_time": "2:18:13"} +{"current_steps": 36, "total_steps": 375, "loss": 1.7909, "lr": 9.901270323231114e-06, "epoch": 0.288, "percentage": 9.6, "elapsed_time": "0:14:38", "remaining_time": "2:17:52"} +{"current_steps": 37, "total_steps": 375, "loss": 1.7618, "lr": 9.892530053338909e-06, "epoch": 0.296, "percentage": 9.87, "elapsed_time": "0:15:03", "remaining_time": "2:17:33"} +{"current_steps": 38, "total_steps": 375, "loss": 1.7316, "lr": 9.883423331286096e-06, "epoch": 0.304, "percentage": 10.13, "elapsed_time": "0:15:27", "remaining_time": "2:17:02"} +{"current_steps": 39, "total_steps": 375, "loss": 1.6342, "lr": 9.873950839169248e-06, "epoch": 0.312, "percentage": 10.4, "elapsed_time": "0:15:52", "remaining_time": "2:16:50"} +{"current_steps": 40, "total_steps": 375, "loss": 1.7302, "lr": 9.864113286481237e-06, "epoch": 0.32, "percentage": 10.67, "elapsed_time": "0:16:18", "remaining_time": "2:16:32"} +{"current_steps": 41, "total_steps": 375, "loss": 1.5871, "lr": 9.853911410058097e-06, "epoch": 0.328, "percentage": 10.93, "elapsed_time": "0:16:43", "remaining_time": "2:16:14"} +{"current_steps": 42, "total_steps": 375, "loss": 1.7055, "lr": 9.843345974023833e-06, "epoch": 0.336, "percentage": 11.2, "elapsed_time": "0:17:10", "remaining_time": "2:16:11"} +{"current_steps": 43, "total_steps": 375, "loss": 1.725, "lr": 9.832417769733185e-06, "epoch": 0.344, "percentage": 11.47, "elapsed_time": "0:17:33", "remaining_time": "2:15:31"} +{"current_steps": 44, "total_steps": 375, "loss": 1.7716, "lr": 9.821127615712365e-06, "epoch": 0.352, "percentage": 11.73, "elapsed_time": "0:17:56", "remaining_time": "2:14:58"} +{"current_steps": 45, "total_steps": 375, "loss": 1.6597, "lr": 9.809476357597738e-06, "epoch": 0.36, "percentage": 12.0, "elapsed_time": "0:18:23", "remaining_time": "2:14:53"} +{"current_steps": 46, "total_steps": 375, "loss": 1.7454, "lr": 9.797464868072489e-06, "epoch": 0.368, "percentage": 12.27, "elapsed_time": "0:18:48", "remaining_time": "2:14:32"} +{"current_steps": 47, "total_steps": 375, "loss": 1.813, "lr": 9.785094046801256e-06, "epoch": 0.376, "percentage": 12.53, "elapsed_time": "0:19:11", "remaining_time": "2:13:55"} +{"current_steps": 48, "total_steps": 375, "loss": 1.6276, "lr": 9.77236482036275e-06, "epoch": 0.384, "percentage": 12.8, "elapsed_time": "0:19:35", "remaining_time": "2:13:26"} +{"current_steps": 49, "total_steps": 375, "loss": 1.6772, "lr": 9.759278142180348e-06, "epoch": 0.392, "percentage": 13.07, "elapsed_time": "0:19:57", "remaining_time": "2:12:48"} +{"current_steps": 50, "total_steps": 375, "loss": 1.7564, "lr": 9.745834992450688e-06, "epoch": 0.4, "percentage": 13.33, "elapsed_time": "0:20:19", "remaining_time": "2:12:08"} +{"current_steps": 51, "total_steps": 375, "loss": 1.7262, "lr": 9.732036378070243e-06, "epoch": 0.408, "percentage": 13.6, "elapsed_time": "0:20:44", "remaining_time": "2:11:44"} +{"current_steps": 52, "total_steps": 375, "loss": 1.5396, "lr": 9.717883332559911e-06, "epoch": 0.416, "percentage": 13.87, "elapsed_time": "0:21:08", "remaining_time": "2:11:20"} +{"current_steps": 53, "total_steps": 375, "loss": 1.7466, "lr": 9.703376915987601e-06, "epoch": 0.424, "percentage": 14.13, "elapsed_time": "0:21:32", "remaining_time": "2:10:53"} +{"current_steps": 54, "total_steps": 375, "loss": 1.6408, "lr": 9.688518214888836e-06, "epoch": 0.432, "percentage": 14.4, "elapsed_time": "0:21:56", "remaining_time": "2:10:26"} +{"current_steps": 55, "total_steps": 375, "loss": 1.5324, "lr": 9.673308342185366e-06, "epoch": 0.44, "percentage": 14.67, "elapsed_time": "0:22:22", "remaining_time": "2:10:09"} +{"current_steps": 56, "total_steps": 375, "loss": 1.5823, "lr": 9.657748437101819e-06, "epoch": 0.448, "percentage": 14.93, "elapsed_time": "0:22:44", "remaining_time": "2:09:31"} +{"current_steps": 57, "total_steps": 375, "loss": 1.7311, "lr": 9.641839665080363e-06, "epoch": 0.456, "percentage": 15.2, "elapsed_time": "0:23:06", "remaining_time": "2:08:53"} +{"current_steps": 58, "total_steps": 375, "loss": 1.8164, "lr": 9.625583217693419e-06, "epoch": 0.464, "percentage": 15.47, "elapsed_time": "0:23:30", "remaining_time": "2:08:27"} +{"current_steps": 59, "total_steps": 375, "loss": 1.6059, "lr": 9.60898031255441e-06, "epoch": 0.472, "percentage": 15.73, "elapsed_time": "0:23:54", "remaining_time": "2:08:05"} +{"current_steps": 60, "total_steps": 375, "loss": 1.7617, "lr": 9.592032193226564e-06, "epoch": 0.48, "percentage": 16.0, "elapsed_time": "0:24:19", "remaining_time": "2:07:40"} +{"current_steps": 61, "total_steps": 375, "loss": 1.7207, "lr": 9.574740129129767e-06, "epoch": 0.488, "percentage": 16.27, "elapsed_time": "0:24:43", "remaining_time": "2:07:18"} +{"current_steps": 62, "total_steps": 375, "loss": 1.7482, "lr": 9.557105415445485e-06, "epoch": 0.496, "percentage": 16.53, "elapsed_time": "0:25:07", "remaining_time": "2:06:49"} +{"current_steps": 63, "total_steps": 375, "loss": 1.7692, "lr": 9.539129373019755e-06, "epoch": 0.504, "percentage": 16.8, "elapsed_time": "0:25:32", "remaining_time": "2:06:29"} +{"current_steps": 64, "total_steps": 375, "loss": 1.737, "lr": 9.520813348264252e-06, "epoch": 0.512, "percentage": 17.07, "elapsed_time": "0:25:54", "remaining_time": "2:05:55"} +{"current_steps": 65, "total_steps": 375, "loss": 1.6523, "lr": 9.502158713055444e-06, "epoch": 0.52, "percentage": 17.33, "elapsed_time": "0:26:18", "remaining_time": "2:05:28"} +{"current_steps": 66, "total_steps": 375, "loss": 1.7734, "lr": 9.483166864631837e-06, "epoch": 0.528, "percentage": 17.6, "elapsed_time": "0:26:40", "remaining_time": "2:04:52"} +{"current_steps": 67, "total_steps": 375, "loss": 1.6183, "lr": 9.46383922548932e-06, "epoch": 0.536, "percentage": 17.87, "elapsed_time": "0:27:05", "remaining_time": "2:04:31"} +{"current_steps": 68, "total_steps": 375, "loss": 1.6967, "lr": 9.444177243274619e-06, "epoch": 0.544, "percentage": 18.13, "elapsed_time": "0:27:28", "remaining_time": "2:04:03"} +{"current_steps": 69, "total_steps": 375, "loss": 1.5285, "lr": 9.424182390676872e-06, "epoch": 0.552, "percentage": 18.4, "elapsed_time": "0:27:53", "remaining_time": "2:03:41"} +{"current_steps": 70, "total_steps": 375, "loss": 1.7399, "lr": 9.403856165317322e-06, "epoch": 0.56, "percentage": 18.67, "elapsed_time": "0:28:18", "remaining_time": "2:03:19"} +{"current_steps": 71, "total_steps": 375, "loss": 1.6845, "lr": 9.383200089637143e-06, "epoch": 0.568, "percentage": 18.93, "elapsed_time": "0:28:43", "remaining_time": "2:02:57"} +{"current_steps": 72, "total_steps": 375, "loss": 1.6052, "lr": 9.362215710783411e-06, "epoch": 0.576, "percentage": 19.2, "elapsed_time": "0:29:06", "remaining_time": "2:02:31"} +{"current_steps": 73, "total_steps": 375, "loss": 1.6624, "lr": 9.34090460049322e-06, "epoch": 0.584, "percentage": 19.47, "elapsed_time": "0:29:30", "remaining_time": "2:02:05"} +{"current_steps": 74, "total_steps": 375, "loss": 1.581, "lr": 9.319268354975958e-06, "epoch": 0.592, "percentage": 19.73, "elapsed_time": "0:29:54", "remaining_time": "2:01:41"} +{"current_steps": 75, "total_steps": 375, "loss": 1.6495, "lr": 9.297308594793757e-06, "epoch": 0.6, "percentage": 20.0, "elapsed_time": "0:30:17", "remaining_time": "2:01:10"} +{"current_steps": 76, "total_steps": 375, "loss": 1.6056, "lr": 9.275026964740101e-06, "epoch": 0.608, "percentage": 20.27, "elapsed_time": "0:30:42", "remaining_time": "2:00:50"} +{"current_steps": 77, "total_steps": 375, "loss": 1.679, "lr": 9.252425133716639e-06, "epoch": 0.616, "percentage": 20.53, "elapsed_time": "0:31:05", "remaining_time": "2:00:21"} +{"current_steps": 78, "total_steps": 375, "loss": 1.6168, "lr": 9.229504794608182e-06, "epoch": 0.624, "percentage": 20.8, "elapsed_time": "0:31:32", "remaining_time": "2:00:07"} +{"current_steps": 79, "total_steps": 375, "loss": 1.6812, "lr": 9.206267664155906e-06, "epoch": 0.632, "percentage": 21.07, "elapsed_time": "0:32:00", "remaining_time": "1:59:54"} +{"current_steps": 80, "total_steps": 375, "loss": 1.6214, "lr": 9.182715482828764e-06, "epoch": 0.64, "percentage": 21.33, "elapsed_time": "0:32:24", "remaining_time": "1:59:29"} +{"current_steps": 81, "total_steps": 375, "loss": 1.6537, "lr": 9.158850014693123e-06, "epoch": 0.648, "percentage": 21.6, "elapsed_time": "0:32:45", "remaining_time": "1:58:54"} +{"current_steps": 82, "total_steps": 375, "loss": 1.602, "lr": 9.134673047280644e-06, "epoch": 0.656, "percentage": 21.87, "elapsed_time": "0:33:09", "remaining_time": "1:58:28"} +{"current_steps": 83, "total_steps": 375, "loss": 1.7139, "lr": 9.110186391454389e-06, "epoch": 0.664, "percentage": 22.13, "elapsed_time": "0:33:32", "remaining_time": "1:58:00"} +{"current_steps": 84, "total_steps": 375, "loss": 1.6621, "lr": 9.085391881273182e-06, "epoch": 0.672, "percentage": 22.4, "elapsed_time": "0:33:56", "remaining_time": "1:57:34"} +{"current_steps": 85, "total_steps": 375, "loss": 1.6323, "lr": 9.060291373854252e-06, "epoch": 0.68, "percentage": 22.67, "elapsed_time": "0:34:20", "remaining_time": "1:57:10"} +{"current_steps": 86, "total_steps": 375, "loss": 1.6435, "lr": 9.034886749234112e-06, "epoch": 0.688, "percentage": 22.93, "elapsed_time": "0:34:44", "remaining_time": "1:56:45"} +{"current_steps": 87, "total_steps": 375, "loss": 1.6756, "lr": 9.009179910227767e-06, "epoch": 0.696, "percentage": 23.2, "elapsed_time": "0:35:08", "remaining_time": "1:56:19"} +{"current_steps": 88, "total_steps": 375, "loss": 1.6813, "lr": 8.98317278228618e-06, "epoch": 0.704, "percentage": 23.47, "elapsed_time": "0:35:32", "remaining_time": "1:55:54"} +{"current_steps": 89, "total_steps": 375, "loss": 1.6627, "lr": 8.956867313352055e-06, "epoch": 0.712, "percentage": 23.73, "elapsed_time": "0:35:56", "remaining_time": "1:55:29"} +{"current_steps": 90, "total_steps": 375, "loss": 1.8571, "lr": 8.930265473713939e-06, "epoch": 0.72, "percentage": 24.0, "elapsed_time": "0:36:19", "remaining_time": "1:55:03"} +{"current_steps": 91, "total_steps": 375, "loss": 1.4989, "lr": 8.90336925585864e-06, "epoch": 0.728, "percentage": 24.27, "elapsed_time": "0:36:43", "remaining_time": "1:54:36"} +{"current_steps": 92, "total_steps": 375, "loss": 1.6913, "lr": 8.876180674322006e-06, "epoch": 0.736, "percentage": 24.53, "elapsed_time": "0:37:06", "remaining_time": "1:54:09"} +{"current_steps": 93, "total_steps": 375, "loss": 1.6397, "lr": 8.84870176553801e-06, "epoch": 0.744, "percentage": 24.8, "elapsed_time": "0:37:28", "remaining_time": "1:53:38"} +{"current_steps": 94, "total_steps": 375, "loss": 1.5152, "lr": 8.820934587686247e-06, "epoch": 0.752, "percentage": 25.07, "elapsed_time": "0:37:54", "remaining_time": "1:53:19"} +{"current_steps": 95, "total_steps": 375, "loss": 1.5435, "lr": 8.792881220537752e-06, "epoch": 0.76, "percentage": 25.33, "elapsed_time": "0:38:19", "remaining_time": "1:52:57"} +{"current_steps": 96, "total_steps": 375, "loss": 1.5283, "lr": 8.764543765299245e-06, "epoch": 0.768, "percentage": 25.6, "elapsed_time": "0:38:42", "remaining_time": "1:52:28"} +{"current_steps": 97, "total_steps": 375, "loss": 1.6756, "lr": 8.735924344455732e-06, "epoch": 0.776, "percentage": 25.87, "elapsed_time": "0:39:04", "remaining_time": "1:51:59"} +{"current_steps": 98, "total_steps": 375, "loss": 1.613, "lr": 8.707025101611546e-06, "epoch": 0.784, "percentage": 26.13, "elapsed_time": "0:39:29", "remaining_time": "1:51:37"} +{"current_steps": 99, "total_steps": 375, "loss": 1.5942, "lr": 8.677848201329775e-06, "epoch": 0.792, "percentage": 26.4, "elapsed_time": "0:39:55", "remaining_time": "1:51:19"} +{"current_steps": 100, "total_steps": 375, "loss": 1.7216, "lr": 8.64839582897015e-06, "epoch": 0.8, "percentage": 26.67, "elapsed_time": "0:40:19", "remaining_time": "1:50:52"} +{"current_steps": 101, "total_steps": 375, "loss": 1.4699, "lr": 8.61867019052535e-06, "epoch": 0.808, "percentage": 26.93, "elapsed_time": "0:40:44", "remaining_time": "1:50:30"} +{"current_steps": 102, "total_steps": 375, "loss": 1.7439, "lr": 8.588673512455781e-06, "epoch": 0.816, "percentage": 27.2, "elapsed_time": "0:41:08", "remaining_time": "1:50:06"} +{"current_steps": 103, "total_steps": 375, "loss": 1.696, "lr": 8.558408041522801e-06, "epoch": 0.824, "percentage": 27.47, "elapsed_time": "0:41:32", "remaining_time": "1:49:41"} +{"current_steps": 104, "total_steps": 375, "loss": 1.713, "lr": 8.527876044620453e-06, "epoch": 0.832, "percentage": 27.73, "elapsed_time": "0:41:56", "remaining_time": "1:49:16"} +{"current_steps": 105, "total_steps": 375, "loss": 1.7213, "lr": 8.497079808605659e-06, "epoch": 0.84, "percentage": 28.0, "elapsed_time": "0:42:20", "remaining_time": "1:48:51"} +{"current_steps": 106, "total_steps": 375, "loss": 1.6091, "lr": 8.466021640126946e-06, "epoch": 0.848, "percentage": 28.27, "elapsed_time": "0:42:45", "remaining_time": "1:48:30"} +{"current_steps": 107, "total_steps": 375, "loss": 1.6345, "lr": 8.434703865451666e-06, "epoch": 0.856, "percentage": 28.53, "elapsed_time": "0:43:10", "remaining_time": "1:48:09"} +{"current_steps": 108, "total_steps": 375, "loss": 1.6443, "lr": 8.403128830291767e-06, "epoch": 0.864, "percentage": 28.8, "elapsed_time": "0:43:36", "remaining_time": "1:47:48"} +{"current_steps": 109, "total_steps": 375, "loss": 1.6869, "lr": 8.371298899628091e-06, "epoch": 0.872, "percentage": 29.07, "elapsed_time": "0:43:59", "remaining_time": "1:47:21"} +{"current_steps": 110, "total_steps": 375, "loss": 1.5866, "lr": 8.339216457533244e-06, "epoch": 0.88, "percentage": 29.33, "elapsed_time": "0:44:22", "remaining_time": "1:46:54"} +{"current_steps": 111, "total_steps": 375, "loss": 1.6483, "lr": 8.306883906993022e-06, "epoch": 0.888, "percentage": 29.6, "elapsed_time": "0:44:45", "remaining_time": "1:46:28"} +{"current_steps": 112, "total_steps": 375, "loss": 1.594, "lr": 8.274303669726427e-06, "epoch": 0.896, "percentage": 29.87, "elapsed_time": "0:45:08", "remaining_time": "1:46:01"} +{"current_steps": 113, "total_steps": 375, "loss": 1.4755, "lr": 8.24147818600428e-06, "epoch": 0.904, "percentage": 30.13, "elapsed_time": "0:45:32", "remaining_time": "1:45:36"} +{"current_steps": 114, "total_steps": 375, "loss": 1.6598, "lr": 8.20840991446645e-06, "epoch": 0.912, "percentage": 30.4, "elapsed_time": "0:45:57", "remaining_time": "1:45:12"} +{"current_steps": 115, "total_steps": 375, "loss": 1.5304, "lr": 8.175101331937692e-06, "epoch": 0.92, "percentage": 30.67, "elapsed_time": "0:46:21", "remaining_time": "1:44:47"} +{"current_steps": 116, "total_steps": 375, "loss": 1.6354, "lr": 8.141554933242135e-06, "epoch": 0.928, "percentage": 30.93, "elapsed_time": "0:46:46", "remaining_time": "1:44:26"} +{"current_steps": 117, "total_steps": 375, "loss": 1.5989, "lr": 8.10777323101642e-06, "epoch": 0.936, "percentage": 31.2, "elapsed_time": "0:47:10", "remaining_time": "1:44:01"} +{"current_steps": 118, "total_steps": 375, "loss": 1.6564, "lr": 8.073758755521506e-06, "epoch": 0.944, "percentage": 31.47, "elapsed_time": "0:47:32", "remaining_time": "1:43:33"} +{"current_steps": 119, "total_steps": 375, "loss": 1.5884, "lr": 8.03951405445314e-06, "epoch": 0.952, "percentage": 31.73, "elapsed_time": "0:47:59", "remaining_time": "1:43:14"} +{"current_steps": 120, "total_steps": 375, "loss": 1.5128, "lr": 8.005041692751055e-06, "epoch": 0.96, "percentage": 32.0, "elapsed_time": "0:48:24", "remaining_time": "1:42:51"} +{"current_steps": 121, "total_steps": 375, "loss": 1.7014, "lr": 7.970344252406832e-06, "epoch": 0.968, "percentage": 32.27, "elapsed_time": "0:48:46", "remaining_time": "1:42:24"} +{"current_steps": 122, "total_steps": 375, "loss": 1.6341, "lr": 7.935424332270523e-06, "epoch": 0.976, "percentage": 32.53, "elapsed_time": "0:49:11", "remaining_time": "1:41:59"} +{"current_steps": 123, "total_steps": 375, "loss": 1.6521, "lr": 7.900284547855992e-06, "epoch": 0.984, "percentage": 32.8, "elapsed_time": "0:49:35", "remaining_time": "1:41:35"} +{"current_steps": 124, "total_steps": 375, "loss": 1.7013, "lr": 7.864927531145012e-06, "epoch": 0.992, "percentage": 33.07, "elapsed_time": "0:49:58", "remaining_time": "1:41:09"} +{"current_steps": 125, "total_steps": 375, "loss": 1.5216, "lr": 7.829355930390126e-06, "epoch": 1.0, "percentage": 33.33, "elapsed_time": "0:50:23", "remaining_time": "1:40:46"} +{"current_steps": 126, "total_steps": 375, "loss": 1.4109, "lr": 7.7935724099163e-06, "epoch": 1.008, "percentage": 33.6, "elapsed_time": "0:50:56", "remaining_time": "1:40:40"} +{"current_steps": 127, "total_steps": 375, "loss": 1.4167, "lr": 7.757579649921354e-06, "epoch": 1.016, "percentage": 33.87, "elapsed_time": "0:51:20", "remaining_time": "1:40:16"} +{"current_steps": 128, "total_steps": 375, "loss": 1.4185, "lr": 7.721380346275221e-06, "epoch": 1.024, "percentage": 34.13, "elapsed_time": "0:51:44", "remaining_time": "1:39:50"} +{"current_steps": 129, "total_steps": 375, "loss": 1.5076, "lr": 7.684977210318024e-06, "epoch": 1.032, "percentage": 34.4, "elapsed_time": "0:52:07", "remaining_time": "1:39:24"} +{"current_steps": 130, "total_steps": 375, "loss": 1.4809, "lr": 7.648372968656995e-06, "epoch": 1.04, "percentage": 34.67, "elapsed_time": "0:52:31", "remaining_time": "1:38:59"} +{"current_steps": 131, "total_steps": 375, "loss": 1.4613, "lr": 7.611570362962247e-06, "epoch": 1.048, "percentage": 34.93, "elapsed_time": "0:52:55", "remaining_time": "1:38:34"} +{"current_steps": 132, "total_steps": 375, "loss": 1.3367, "lr": 7.574572149761437e-06, "epoch": 1.056, "percentage": 35.2, "elapsed_time": "0:53:19", "remaining_time": "1:38:09"} +{"current_steps": 133, "total_steps": 375, "loss": 1.3333, "lr": 7.5373811002332785e-06, "epoch": 1.064, "percentage": 35.47, "elapsed_time": "0:53:40", "remaining_time": "1:37:40"} +{"current_steps": 134, "total_steps": 375, "loss": 1.2811, "lr": 7.500000000000001e-06, "epoch": 1.072, "percentage": 35.73, "elapsed_time": "0:54:06", "remaining_time": "1:37:18"} +{"current_steps": 135, "total_steps": 375, "loss": 1.2576, "lr": 7.462431648918689e-06, "epoch": 1.08, "percentage": 36.0, "elapsed_time": "0:54:31", "remaining_time": "1:36:55"} +{"current_steps": 136, "total_steps": 375, "loss": 1.3759, "lr": 7.424678860871584e-06, "epoch": 1.088, "percentage": 36.27, "elapsed_time": "0:54:57", "remaining_time": "1:36:35"} +{"current_steps": 137, "total_steps": 375, "loss": 1.2774, "lr": 7.3867444635553165e-06, "epoch": 1.096, "percentage": 36.53, "elapsed_time": "0:55:22", "remaining_time": "1:36:11"} +{"current_steps": 138, "total_steps": 375, "loss": 1.346, "lr": 7.3486312982691134e-06, "epoch": 1.104, "percentage": 36.8, "elapsed_time": "0:55:46", "remaining_time": "1:35:46"} +{"current_steps": 139, "total_steps": 375, "loss": 1.3977, "lr": 7.310342219701981e-06, "epoch": 1.112, "percentage": 37.07, "elapsed_time": "0:56:11", "remaining_time": "1:35:23"} +{"current_steps": 140, "total_steps": 375, "loss": 1.3203, "lr": 7.271880095718895e-06, "epoch": 1.12, "percentage": 37.33, "elapsed_time": "0:56:38", "remaining_time": "1:35:04"} +{"current_steps": 141, "total_steps": 375, "loss": 1.3563, "lr": 7.233247807145989e-06, "epoch": 1.1280000000000001, "percentage": 37.6, "elapsed_time": "0:57:02", "remaining_time": "1:34:40"} +{"current_steps": 142, "total_steps": 375, "loss": 1.4031, "lr": 7.19444824755478e-06, "epoch": 1.1360000000000001, "percentage": 37.87, "elapsed_time": "0:57:30", "remaining_time": "1:34:21"} +{"current_steps": 143, "total_steps": 375, "loss": 1.3123, "lr": 7.155484323045442e-06, "epoch": 1.144, "percentage": 38.13, "elapsed_time": "0:57:54", "remaining_time": "1:33:56"} +{"current_steps": 144, "total_steps": 375, "loss": 1.3359, "lr": 7.11635895202914e-06, "epoch": 1.152, "percentage": 38.4, "elapsed_time": "0:58:17", "remaining_time": "1:33:31"} +{"current_steps": 145, "total_steps": 375, "loss": 1.4203, "lr": 7.0770750650094335e-06, "epoch": 1.16, "percentage": 38.67, "elapsed_time": "0:58:42", "remaining_time": "1:33:07"} +{"current_steps": 146, "total_steps": 375, "loss": 1.3475, "lr": 7.037635604362786e-06, "epoch": 1.168, "percentage": 38.93, "elapsed_time": "0:59:05", "remaining_time": "1:32:40"} +{"current_steps": 147, "total_steps": 375, "loss": 1.3728, "lr": 6.9980435241181785e-06, "epoch": 1.176, "percentage": 39.2, "elapsed_time": "0:59:27", "remaining_time": "1:32:13"} +{"current_steps": 148, "total_steps": 375, "loss": 1.4341, "lr": 6.958301789735853e-06, "epoch": 1.184, "percentage": 39.47, "elapsed_time": "0:59:49", "remaining_time": "1:31:45"} +{"current_steps": 149, "total_steps": 375, "loss": 1.4365, "lr": 6.918413377885193e-06, "epoch": 1.192, "percentage": 39.73, "elapsed_time": "1:00:13", "remaining_time": "1:31:21"} +{"current_steps": 150, "total_steps": 375, "loss": 1.3273, "lr": 6.878381276221777e-06, "epoch": 1.2, "percentage": 40.0, "elapsed_time": "1:00:38", "remaining_time": "1:30:58"} +{"current_steps": 151, "total_steps": 375, "loss": 1.3297, "lr": 6.838208483163601e-06, "epoch": 1.208, "percentage": 40.27, "elapsed_time": "1:01:03", "remaining_time": "1:30:34"} +{"current_steps": 152, "total_steps": 375, "loss": 1.3977, "lr": 6.797898007666493e-06, "epoch": 1.216, "percentage": 40.53, "elapsed_time": "1:01:25", "remaining_time": "1:30:06"} +{"current_steps": 153, "total_steps": 375, "loss": 1.2802, "lr": 6.757452868998737e-06, "epoch": 1.224, "percentage": 40.8, "elapsed_time": "1:01:49", "remaining_time": "1:29:41"} +{"current_steps": 154, "total_steps": 375, "loss": 1.3741, "lr": 6.716876096514944e-06, "epoch": 1.232, "percentage": 41.07, "elapsed_time": "1:02:13", "remaining_time": "1:29:17"} +{"current_steps": 155, "total_steps": 375, "loss": 1.2866, "lr": 6.676170729429132e-06, "epoch": 1.24, "percentage": 41.33, "elapsed_time": "1:02:35", "remaining_time": "1:28:50"} +{"current_steps": 156, "total_steps": 375, "loss": 1.3524, "lr": 6.635339816587109e-06, "epoch": 1.248, "percentage": 41.6, "elapsed_time": "1:02:59", "remaining_time": "1:28:25"} +{"current_steps": 157, "total_steps": 375, "loss": 1.4385, "lr": 6.594386416238095e-06, "epoch": 1.256, "percentage": 41.87, "elapsed_time": "1:03:21", "remaining_time": "1:27:58"} +{"current_steps": 158, "total_steps": 375, "loss": 1.3711, "lr": 6.553313595805666e-06, "epoch": 1.264, "percentage": 42.13, "elapsed_time": "1:03:44", "remaining_time": "1:27:32"} +{"current_steps": 159, "total_steps": 375, "loss": 1.392, "lr": 6.512124431658006e-06, "epoch": 1.272, "percentage": 42.4, "elapsed_time": "1:04:07", "remaining_time": "1:27:06"} +{"current_steps": 160, "total_steps": 375, "loss": 1.3345, "lr": 6.470822008877482e-06, "epoch": 1.28, "percentage": 42.67, "elapsed_time": "1:04:31", "remaining_time": "1:26:42"} +{"current_steps": 161, "total_steps": 375, "loss": 1.4048, "lr": 6.4294094210295725e-06, "epoch": 1.288, "percentage": 42.93, "elapsed_time": "1:04:55", "remaining_time": "1:26:18"} +{"current_steps": 162, "total_steps": 375, "loss": 1.4097, "lr": 6.3878897699311525e-06, "epoch": 1.296, "percentage": 43.2, "elapsed_time": "1:05:21", "remaining_time": "1:25:55"} +{"current_steps": 163, "total_steps": 375, "loss": 1.3149, "lr": 6.346266165418173e-06, "epoch": 1.304, "percentage": 43.47, "elapsed_time": "1:05:44", "remaining_time": "1:25:30"} +{"current_steps": 164, "total_steps": 375, "loss": 1.4207, "lr": 6.304541725112734e-06, "epoch": 1.312, "percentage": 43.73, "elapsed_time": "1:06:07", "remaining_time": "1:25:04"} +{"current_steps": 165, "total_steps": 375, "loss": 1.4244, "lr": 6.262719574189564e-06, "epoch": 1.32, "percentage": 44.0, "elapsed_time": "1:06:31", "remaining_time": "1:24:40"} +{"current_steps": 166, "total_steps": 375, "loss": 1.2237, "lr": 6.2208028451419575e-06, "epoch": 1.328, "percentage": 44.27, "elapsed_time": "1:06:54", "remaining_time": "1:24:13"} +{"current_steps": 167, "total_steps": 375, "loss": 1.3877, "lr": 6.178794677547138e-06, "epoch": 1.336, "percentage": 44.53, "elapsed_time": "1:07:18", "remaining_time": "1:23:50"} +{"current_steps": 168, "total_steps": 375, "loss": 1.4125, "lr": 6.136698217831106e-06, "epoch": 1.3439999999999999, "percentage": 44.8, "elapsed_time": "1:07:45", "remaining_time": "1:23:29"} +{"current_steps": 169, "total_steps": 375, "loss": 1.3165, "lr": 6.094516619032975e-06, "epoch": 1.3519999999999999, "percentage": 45.07, "elapsed_time": "1:08:12", "remaining_time": "1:23:08"} +{"current_steps": 170, "total_steps": 375, "loss": 1.2087, "lr": 6.052253040568804e-06, "epoch": 1.3599999999999999, "percentage": 45.33, "elapsed_time": "1:08:36", "remaining_time": "1:22:43"} +{"current_steps": 171, "total_steps": 375, "loss": 1.298, "lr": 6.009910647994956e-06, "epoch": 1.3679999999999999, "percentage": 45.6, "elapsed_time": "1:08:59", "remaining_time": "1:22:18"} +{"current_steps": 172, "total_steps": 375, "loss": 1.478, "lr": 5.967492612770999e-06, "epoch": 1.376, "percentage": 45.87, "elapsed_time": "1:09:23", "remaining_time": "1:21:54"} +{"current_steps": 173, "total_steps": 375, "loss": 1.3841, "lr": 5.925002112022158e-06, "epoch": 1.384, "percentage": 46.13, "elapsed_time": "1:09:46", "remaining_time": "1:21:28"} +{"current_steps": 174, "total_steps": 375, "loss": 1.3204, "lr": 5.882442328301356e-06, "epoch": 1.392, "percentage": 46.4, "elapsed_time": "1:10:08", "remaining_time": "1:21:01"} +{"current_steps": 175, "total_steps": 375, "loss": 1.2993, "lr": 5.839816449350824e-06, "epoch": 1.4, "percentage": 46.67, "elapsed_time": "1:10:34", "remaining_time": "1:20:39"} +{"current_steps": 176, "total_steps": 375, "loss": 1.3931, "lr": 5.7971276678633625e-06, "epoch": 1.408, "percentage": 46.93, "elapsed_time": "1:10:58", "remaining_time": "1:20:15"} +{"current_steps": 177, "total_steps": 375, "loss": 1.3798, "lr": 5.754379181243179e-06, "epoch": 1.416, "percentage": 47.2, "elapsed_time": "1:11:21", "remaining_time": "1:19:49"} +{"current_steps": 178, "total_steps": 375, "loss": 1.3581, "lr": 5.711574191366427e-06, "epoch": 1.424, "percentage": 47.47, "elapsed_time": "1:11:43", "remaining_time": "1:19:23"} +{"current_steps": 179, "total_steps": 375, "loss": 1.333, "lr": 5.668715904341365e-06, "epoch": 1.432, "percentage": 47.73, "elapsed_time": "1:12:08", "remaining_time": "1:18:59"} +{"current_steps": 180, "total_steps": 375, "loss": 1.369, "lr": 5.62580753026823e-06, "epoch": 1.44, "percentage": 48.0, "elapsed_time": "1:12:32", "remaining_time": "1:18:34"} +{"current_steps": 181, "total_steps": 375, "loss": 1.207, "lr": 5.5828522829987965e-06, "epoch": 1.448, "percentage": 48.27, "elapsed_time": "1:12:56", "remaining_time": "1:18:10"} +{"current_steps": 182, "total_steps": 375, "loss": 1.3628, "lr": 5.539853379895656e-06, "epoch": 1.456, "percentage": 48.53, "elapsed_time": "1:13:20", "remaining_time": "1:17:46"} +{"current_steps": 183, "total_steps": 375, "loss": 1.3174, "lr": 5.496814041591234e-06, "epoch": 1.464, "percentage": 48.8, "elapsed_time": "1:13:45", "remaining_time": "1:17:22"} +{"current_steps": 184, "total_steps": 375, "loss": 1.2956, "lr": 5.453737491746572e-06, "epoch": 1.472, "percentage": 49.07, "elapsed_time": "1:14:10", "remaining_time": "1:16:59"} +{"current_steps": 185, "total_steps": 375, "loss": 1.4769, "lr": 5.410626956809864e-06, "epoch": 1.48, "percentage": 49.33, "elapsed_time": "1:14:33", "remaining_time": "1:16:34"} +{"current_steps": 186, "total_steps": 375, "loss": 1.2785, "lr": 5.367485665774802e-06, "epoch": 1.488, "percentage": 49.6, "elapsed_time": "1:14:56", "remaining_time": "1:16:09"} +{"current_steps": 187, "total_steps": 375, "loss": 1.3007, "lr": 5.324316849938715e-06, "epoch": 1.496, "percentage": 49.87, "elapsed_time": "1:15:20", "remaining_time": "1:15:44"} +{"current_steps": 188, "total_steps": 375, "loss": 1.3652, "lr": 5.281123742660558e-06, "epoch": 1.504, "percentage": 50.13, "elapsed_time": "1:15:43", "remaining_time": "1:15:19"} +{"current_steps": 189, "total_steps": 375, "loss": 1.4483, "lr": 5.237909579118713e-06, "epoch": 1.512, "percentage": 50.4, "elapsed_time": "1:16:05", "remaining_time": "1:14:53"} +{"current_steps": 190, "total_steps": 375, "loss": 1.3331, "lr": 5.194677596068689e-06, "epoch": 1.52, "percentage": 50.67, "elapsed_time": "1:16:28", "remaining_time": "1:14:27"} +{"current_steps": 191, "total_steps": 375, "loss": 1.3594, "lr": 5.1514310316006835e-06, "epoch": 1.528, "percentage": 50.93, "elapsed_time": "1:16:52", "remaining_time": "1:14:03"} +{"current_steps": 192, "total_steps": 375, "loss": 1.3753, "lr": 5.1081731248970435e-06, "epoch": 1.536, "percentage": 51.2, "elapsed_time": "1:17:16", "remaining_time": "1:13:39"} +{"current_steps": 193, "total_steps": 375, "loss": 1.3207, "lr": 5.064907115989655e-06, "epoch": 1.544, "percentage": 51.47, "elapsed_time": "1:17:42", "remaining_time": "1:13:16"} +{"current_steps": 194, "total_steps": 375, "loss": 1.2969, "lr": 5.021636245517261e-06, "epoch": 1.552, "percentage": 51.73, "elapsed_time": "1:18:09", "remaining_time": "1:12:55"} +{"current_steps": 195, "total_steps": 375, "loss": 1.3814, "lr": 4.978363754482741e-06, "epoch": 1.56, "percentage": 52.0, "elapsed_time": "1:18:33", "remaining_time": "1:12:31"} +{"current_steps": 196, "total_steps": 375, "loss": 1.3583, "lr": 4.935092884010347e-06, "epoch": 1.568, "percentage": 52.27, "elapsed_time": "1:18:57", "remaining_time": "1:12:06"} +{"current_steps": 197, "total_steps": 375, "loss": 1.4385, "lr": 4.891826875102958e-06, "epoch": 1.576, "percentage": 52.53, "elapsed_time": "1:19:22", "remaining_time": "1:11:42"} +{"current_steps": 198, "total_steps": 375, "loss": 1.4347, "lr": 4.848568968399317e-06, "epoch": 1.584, "percentage": 52.8, "elapsed_time": "1:19:44", "remaining_time": "1:11:17"} +{"current_steps": 199, "total_steps": 375, "loss": 1.3173, "lr": 4.805322403931312e-06, "epoch": 1.592, "percentage": 53.07, "elapsed_time": "1:20:07", "remaining_time": "1:10:52"} +{"current_steps": 200, "total_steps": 375, "loss": 1.4581, "lr": 4.762090420881289e-06, "epoch": 1.6, "percentage": 53.33, "elapsed_time": "1:20:29", "remaining_time": "1:10:26"} +{"current_steps": 201, "total_steps": 375, "loss": 1.3553, "lr": 4.718876257339444e-06, "epoch": 1.608, "percentage": 53.6, "elapsed_time": "1:20:54", "remaining_time": "1:10:02"} +{"current_steps": 202, "total_steps": 375, "loss": 1.2876, "lr": 4.6756831500612846e-06, "epoch": 1.616, "percentage": 53.87, "elapsed_time": "1:21:19", "remaining_time": "1:09:38"} +{"current_steps": 203, "total_steps": 375, "loss": 1.4021, "lr": 4.632514334225201e-06, "epoch": 1.624, "percentage": 54.13, "elapsed_time": "1:21:42", "remaining_time": "1:09:13"} +{"current_steps": 204, "total_steps": 375, "loss": 1.492, "lr": 4.589373043190137e-06, "epoch": 1.6320000000000001, "percentage": 54.4, "elapsed_time": "1:22:06", "remaining_time": "1:08:49"} +{"current_steps": 205, "total_steps": 375, "loss": 1.3503, "lr": 4.546262508253429e-06, "epoch": 1.6400000000000001, "percentage": 54.67, "elapsed_time": "1:22:30", "remaining_time": "1:08:24"} +{"current_steps": 206, "total_steps": 375, "loss": 1.3706, "lr": 4.503185958408767e-06, "epoch": 1.6480000000000001, "percentage": 54.93, "elapsed_time": "1:22:51", "remaining_time": "1:07:58"} +{"current_steps": 207, "total_steps": 375, "loss": 1.2973, "lr": 4.460146620104347e-06, "epoch": 1.6560000000000001, "percentage": 55.2, "elapsed_time": "1:23:13", "remaining_time": "1:07:32"} +{"current_steps": 208, "total_steps": 375, "loss": 1.3999, "lr": 4.417147717001205e-06, "epoch": 1.6640000000000001, "percentage": 55.47, "elapsed_time": "1:23:40", "remaining_time": "1:07:10"} +{"current_steps": 209, "total_steps": 375, "loss": 1.3405, "lr": 4.374192469731771e-06, "epoch": 1.6720000000000002, "percentage": 55.73, "elapsed_time": "1:24:05", "remaining_time": "1:06:47"} +{"current_steps": 210, "total_steps": 375, "loss": 1.2838, "lr": 4.331284095658637e-06, "epoch": 1.6800000000000002, "percentage": 56.0, "elapsed_time": "1:24:28", "remaining_time": "1:06:22"} +{"current_steps": 211, "total_steps": 375, "loss": 1.3207, "lr": 4.2884258086335755e-06, "epoch": 1.688, "percentage": 56.27, "elapsed_time": "1:24:51", "remaining_time": "1:05:56"} +{"current_steps": 212, "total_steps": 375, "loss": 1.3182, "lr": 4.245620818756822e-06, "epoch": 1.696, "percentage": 56.53, "elapsed_time": "1:25:14", "remaining_time": "1:05:32"} +{"current_steps": 213, "total_steps": 375, "loss": 1.299, "lr": 4.202872332136639e-06, "epoch": 1.704, "percentage": 56.8, "elapsed_time": "1:25:40", "remaining_time": "1:05:09"} +{"current_steps": 214, "total_steps": 375, "loss": 1.3005, "lr": 4.160183550649176e-06, "epoch": 1.712, "percentage": 57.07, "elapsed_time": "1:26:03", "remaining_time": "1:04:45"} +{"current_steps": 215, "total_steps": 375, "loss": 1.2494, "lr": 4.117557671698648e-06, "epoch": 1.72, "percentage": 57.33, "elapsed_time": "1:26:26", "remaining_time": "1:04:20"} +{"current_steps": 216, "total_steps": 375, "loss": 1.4299, "lr": 4.074997887977843e-06, "epoch": 1.728, "percentage": 57.6, "elapsed_time": "1:26:50", "remaining_time": "1:03:55"} +{"current_steps": 217, "total_steps": 375, "loss": 1.379, "lr": 4.032507387229002e-06, "epoch": 1.736, "percentage": 57.87, "elapsed_time": "1:27:12", "remaining_time": "1:03:30"} +{"current_steps": 218, "total_steps": 375, "loss": 1.3061, "lr": 3.9900893520050446e-06, "epoch": 1.744, "percentage": 58.13, "elapsed_time": "1:27:36", "remaining_time": "1:03:05"} +{"current_steps": 219, "total_steps": 375, "loss": 1.3921, "lr": 3.9477469594311975e-06, "epoch": 1.752, "percentage": 58.4, "elapsed_time": "1:27:58", "remaining_time": "1:02:39"} +{"current_steps": 220, "total_steps": 375, "loss": 1.3521, "lr": 3.905483380967027e-06, "epoch": 1.76, "percentage": 58.67, "elapsed_time": "1:28:22", "remaining_time": "1:02:15"} +{"current_steps": 221, "total_steps": 375, "loss": 1.3919, "lr": 3.863301782168896e-06, "epoch": 1.768, "percentage": 58.93, "elapsed_time": "1:28:46", "remaining_time": "1:01:51"} +{"current_steps": 222, "total_steps": 375, "loss": 1.4446, "lr": 3.821205322452863e-06, "epoch": 1.776, "percentage": 59.2, "elapsed_time": "1:29:11", "remaining_time": "1:01:28"} +{"current_steps": 223, "total_steps": 375, "loss": 1.4121, "lr": 3.779197154858044e-06, "epoch": 1.784, "percentage": 59.47, "elapsed_time": "1:29:34", "remaining_time": "1:01:03"} +{"current_steps": 224, "total_steps": 375, "loss": 1.3486, "lr": 3.7372804258104367e-06, "epoch": 1.792, "percentage": 59.73, "elapsed_time": "1:29:58", "remaining_time": "1:00:39"} +{"current_steps": 225, "total_steps": 375, "loss": 1.3536, "lr": 3.695458274887268e-06, "epoch": 1.8, "percentage": 60.0, "elapsed_time": "1:30:22", "remaining_time": "1:00:14"} +{"current_steps": 226, "total_steps": 375, "loss": 1.3906, "lr": 3.6537338345818273e-06, "epoch": 1.808, "percentage": 60.27, "elapsed_time": "1:30:45", "remaining_time": "0:59:50"} +{"current_steps": 227, "total_steps": 375, "loss": 1.4416, "lr": 3.6121102300688504e-06, "epoch": 1.8159999999999998, "percentage": 60.53, "elapsed_time": "1:31:09", "remaining_time": "0:59:26"} +{"current_steps": 228, "total_steps": 375, "loss": 1.4409, "lr": 3.5705905789704296e-06, "epoch": 1.8239999999999998, "percentage": 60.8, "elapsed_time": "1:31:31", "remaining_time": "0:59:00"} +{"current_steps": 229, "total_steps": 375, "loss": 1.4683, "lr": 3.529177991122519e-06, "epoch": 1.8319999999999999, "percentage": 61.07, "elapsed_time": "1:31:55", "remaining_time": "0:58:36"} +{"current_steps": 230, "total_steps": 375, "loss": 1.3358, "lr": 3.487875568341995e-06, "epoch": 1.8399999999999999, "percentage": 61.33, "elapsed_time": "1:32:19", "remaining_time": "0:58:12"} +{"current_steps": 231, "total_steps": 375, "loss": 1.441, "lr": 3.446686404194337e-06, "epoch": 1.8479999999999999, "percentage": 61.6, "elapsed_time": "1:32:46", "remaining_time": "0:57:50"} +{"current_steps": 232, "total_steps": 375, "loss": 1.3806, "lr": 3.4056135837619077e-06, "epoch": 1.8559999999999999, "percentage": 61.87, "elapsed_time": "1:33:12", "remaining_time": "0:57:27"} +{"current_steps": 233, "total_steps": 375, "loss": 1.2891, "lr": 3.3646601834128924e-06, "epoch": 1.8639999999999999, "percentage": 62.13, "elapsed_time": "1:33:36", "remaining_time": "0:57:03"} +{"current_steps": 234, "total_steps": 375, "loss": 1.3966, "lr": 3.3238292705708675e-06, "epoch": 1.8719999999999999, "percentage": 62.4, "elapsed_time": "1:34:01", "remaining_time": "0:56:39"} +{"current_steps": 235, "total_steps": 375, "loss": 1.3219, "lr": 3.2831239034850593e-06, "epoch": 1.88, "percentage": 62.67, "elapsed_time": "1:34:26", "remaining_time": "0:56:15"} +{"current_steps": 236, "total_steps": 375, "loss": 1.5404, "lr": 3.2425471310012645e-06, "epoch": 1.888, "percentage": 62.93, "elapsed_time": "1:34:50", "remaining_time": "0:55:51"} +{"current_steps": 237, "total_steps": 375, "loss": 1.2135, "lr": 3.2021019923335093e-06, "epoch": 1.896, "percentage": 63.2, "elapsed_time": "1:35:14", "remaining_time": "0:55:27"} +{"current_steps": 238, "total_steps": 375, "loss": 1.2094, "lr": 3.1617915168363994e-06, "epoch": 1.904, "percentage": 63.47, "elapsed_time": "1:35:39", "remaining_time": "0:55:03"} +{"current_steps": 239, "total_steps": 375, "loss": 1.3233, "lr": 3.121618723778225e-06, "epoch": 1.912, "percentage": 63.73, "elapsed_time": "1:36:01", "remaining_time": "0:54:38"} +{"current_steps": 240, "total_steps": 375, "loss": 1.3909, "lr": 3.081586622114809e-06, "epoch": 1.92, "percentage": 64.0, "elapsed_time": "1:36:26", "remaining_time": "0:54:14"} +{"current_steps": 241, "total_steps": 375, "loss": 1.3041, "lr": 3.041698210264149e-06, "epoch": 1.928, "percentage": 64.27, "elapsed_time": "1:36:47", "remaining_time": "0:53:49"} +{"current_steps": 242, "total_steps": 375, "loss": 1.256, "lr": 3.001956475881822e-06, "epoch": 1.936, "percentage": 64.53, "elapsed_time": "1:37:12", "remaining_time": "0:53:25"} +{"current_steps": 243, "total_steps": 375, "loss": 1.4119, "lr": 2.962364395637216e-06, "epoch": 1.944, "percentage": 64.8, "elapsed_time": "1:37:38", "remaining_time": "0:53:02"} +{"current_steps": 244, "total_steps": 375, "loss": 1.238, "lr": 2.9229249349905686e-06, "epoch": 1.952, "percentage": 65.07, "elapsed_time": "1:38:01", "remaining_time": "0:52:37"} +{"current_steps": 245, "total_steps": 375, "loss": 1.3517, "lr": 2.8836410479708625e-06, "epoch": 1.96, "percentage": 65.33, "elapsed_time": "1:38:23", "remaining_time": "0:52:12"} +{"current_steps": 246, "total_steps": 375, "loss": 1.2968, "lr": 2.84451567695456e-06, "epoch": 1.968, "percentage": 65.6, "elapsed_time": "1:38:49", "remaining_time": "0:51:49"} +{"current_steps": 247, "total_steps": 375, "loss": 1.3458, "lr": 2.805551752445222e-06, "epoch": 1.976, "percentage": 65.87, "elapsed_time": "1:39:13", "remaining_time": "0:51:25"} +{"current_steps": 248, "total_steps": 375, "loss": 1.424, "lr": 2.766752192854012e-06, "epoch": 1.984, "percentage": 66.13, "elapsed_time": "1:39:37", "remaining_time": "0:51:01"} +{"current_steps": 249, "total_steps": 375, "loss": 1.2664, "lr": 2.728119904281105e-06, "epoch": 1.992, "percentage": 66.4, "elapsed_time": "1:40:02", "remaining_time": "0:50:37"} +{"current_steps": 250, "total_steps": 375, "loss": 1.3434, "lr": 2.689657780298019e-06, "epoch": 2.0, "percentage": 66.67, "elapsed_time": "1:40:30", "remaining_time": "0:50:15"} +{"current_steps": 251, "total_steps": 375, "loss": 1.2695, "lr": 2.651368701730889e-06, "epoch": 2.008, "percentage": 66.93, "elapsed_time": "1:41:05", "remaining_time": "0:49:56"} +{"current_steps": 252, "total_steps": 375, "loss": 1.1521, "lr": 2.6132555364446856e-06, "epoch": 2.016, "percentage": 67.2, "elapsed_time": "1:41:30", "remaining_time": "0:49:32"} +{"current_steps": 253, "total_steps": 375, "loss": 1.2569, "lr": 2.5753211391284172e-06, "epoch": 2.024, "percentage": 67.47, "elapsed_time": "1:41:53", "remaining_time": "0:49:07"} +{"current_steps": 254, "total_steps": 375, "loss": 1.1739, "lr": 2.537568351081311e-06, "epoch": 2.032, "percentage": 67.73, "elapsed_time": "1:42:17", "remaining_time": "0:48:43"} +{"current_steps": 255, "total_steps": 375, "loss": 1.1113, "lr": 2.5000000000000015e-06, "epoch": 2.04, "percentage": 68.0, "elapsed_time": "1:42:39", "remaining_time": "0:48:18"} +{"current_steps": 256, "total_steps": 375, "loss": 1.2154, "lr": 2.4626188997667224e-06, "epoch": 2.048, "percentage": 68.27, "elapsed_time": "1:43:04", "remaining_time": "0:47:54"} +{"current_steps": 257, "total_steps": 375, "loss": 1.1986, "lr": 2.425427850238565e-06, "epoch": 2.056, "percentage": 68.53, "elapsed_time": "1:43:27", "remaining_time": "0:47:30"} +{"current_steps": 258, "total_steps": 375, "loss": 1.1513, "lr": 2.388429637037753e-06, "epoch": 2.064, "percentage": 68.8, "elapsed_time": "1:43:53", "remaining_time": "0:47:06"} +{"current_steps": 259, "total_steps": 375, "loss": 1.1515, "lr": 2.3516270313430085e-06, "epoch": 2.072, "percentage": 69.07, "elapsed_time": "1:44:20", "remaining_time": "0:46:43"} +{"current_steps": 260, "total_steps": 375, "loss": 1.1398, "lr": 2.3150227896819782e-06, "epoch": 2.08, "percentage": 69.33, "elapsed_time": "1:44:43", "remaining_time": "0:46:19"} +{"current_steps": 261, "total_steps": 375, "loss": 1.2116, "lr": 2.278619653724781e-06, "epoch": 2.088, "percentage": 69.6, "elapsed_time": "1:45:08", "remaining_time": "0:45:55"} +{"current_steps": 262, "total_steps": 375, "loss": 1.1741, "lr": 2.2424203500786473e-06, "epoch": 2.096, "percentage": 69.87, "elapsed_time": "1:45:32", "remaining_time": "0:45:31"} +{"current_steps": 263, "total_steps": 375, "loss": 1.2057, "lr": 2.206427590083703e-06, "epoch": 2.104, "percentage": 70.13, "elapsed_time": "1:45:55", "remaining_time": "0:45:06"} +{"current_steps": 264, "total_steps": 375, "loss": 1.1549, "lr": 2.170644069609876e-06, "epoch": 2.112, "percentage": 70.4, "elapsed_time": "1:46:18", "remaining_time": "0:44:42"} +{"current_steps": 265, "total_steps": 375, "loss": 1.2437, "lr": 2.1350724688549906e-06, "epoch": 2.12, "percentage": 70.67, "elapsed_time": "1:46:43", "remaining_time": "0:44:18"} +{"current_steps": 266, "total_steps": 375, "loss": 1.1539, "lr": 2.09971545214401e-06, "epoch": 2.128, "percentage": 70.93, "elapsed_time": "1:47:09", "remaining_time": "0:43:54"} +{"current_steps": 267, "total_steps": 375, "loss": 1.186, "lr": 2.0645756677294788e-06, "epoch": 2.136, "percentage": 71.2, "elapsed_time": "1:47:32", "remaining_time": "0:43:30"} +{"current_steps": 268, "total_steps": 375, "loss": 1.2699, "lr": 2.029655747593169e-06, "epoch": 2.144, "percentage": 71.47, "elapsed_time": "1:47:55", "remaining_time": "0:43:05"} +{"current_steps": 269, "total_steps": 375, "loss": 1.1699, "lr": 1.9949583072489455e-06, "epoch": 2.152, "percentage": 71.73, "elapsed_time": "1:48:20", "remaining_time": "0:42:41"} +{"current_steps": 270, "total_steps": 375, "loss": 1.2022, "lr": 1.9604859455468587e-06, "epoch": 2.16, "percentage": 72.0, "elapsed_time": "1:48:43", "remaining_time": "0:42:17"} +{"current_steps": 271, "total_steps": 375, "loss": 1.1245, "lr": 1.926241244478496e-06, "epoch": 2.168, "percentage": 72.27, "elapsed_time": "1:49:08", "remaining_time": "0:41:52"} +{"current_steps": 272, "total_steps": 375, "loss": 1.1375, "lr": 1.8922267689835806e-06, "epoch": 2.176, "percentage": 72.53, "elapsed_time": "1:49:32", "remaining_time": "0:41:28"} +{"current_steps": 273, "total_steps": 375, "loss": 1.178, "lr": 1.8584450667578656e-06, "epoch": 2.184, "percentage": 72.8, "elapsed_time": "1:49:59", "remaining_time": "0:41:05"} +{"current_steps": 274, "total_steps": 375, "loss": 1.1776, "lr": 1.8248986680623077e-06, "epoch": 2.192, "percentage": 73.07, "elapsed_time": "1:50:24", "remaining_time": "0:40:41"} +{"current_steps": 275, "total_steps": 375, "loss": 1.0931, "lr": 1.7915900855335506e-06, "epoch": 2.2, "percentage": 73.33, "elapsed_time": "1:50:48", "remaining_time": "0:40:17"} +{"current_steps": 276, "total_steps": 375, "loss": 1.1597, "lr": 1.7585218139957205e-06, "epoch": 2.208, "percentage": 73.6, "elapsed_time": "1:51:11", "remaining_time": "0:39:53"} +{"current_steps": 277, "total_steps": 375, "loss": 1.2446, "lr": 1.7256963302735752e-06, "epoch": 2.216, "percentage": 73.87, "elapsed_time": "1:51:36", "remaining_time": "0:39:29"} +{"current_steps": 278, "total_steps": 375, "loss": 1.202, "lr": 1.6931160930069789e-06, "epoch": 2.224, "percentage": 74.13, "elapsed_time": "1:51:59", "remaining_time": "0:39:04"} +{"current_steps": 279, "total_steps": 375, "loss": 1.1506, "lr": 1.6607835424667578e-06, "epoch": 2.232, "percentage": 74.4, "elapsed_time": "1:52:25", "remaining_time": "0:38:40"} +{"current_steps": 280, "total_steps": 375, "loss": 1.093, "lr": 1.6287011003719105e-06, "epoch": 2.24, "percentage": 74.67, "elapsed_time": "1:52:48", "remaining_time": "0:38:16"} +{"current_steps": 281, "total_steps": 375, "loss": 1.2059, "lr": 1.596871169708235e-06, "epoch": 2.248, "percentage": 74.93, "elapsed_time": "1:53:11", "remaining_time": "0:37:51"} +{"current_steps": 282, "total_steps": 375, "loss": 1.1799, "lr": 1.5652961345483353e-06, "epoch": 2.2560000000000002, "percentage": 75.2, "elapsed_time": "1:53:35", "remaining_time": "0:37:27"} +{"current_steps": 283, "total_steps": 375, "loss": 1.1929, "lr": 1.5339783598730568e-06, "epoch": 2.2640000000000002, "percentage": 75.47, "elapsed_time": "1:53:58", "remaining_time": "0:37:03"} +{"current_steps": 284, "total_steps": 375, "loss": 1.2047, "lr": 1.5029201913943425e-06, "epoch": 2.2720000000000002, "percentage": 75.73, "elapsed_time": "1:54:22", "remaining_time": "0:36:38"} +{"current_steps": 285, "total_steps": 375, "loss": 1.2801, "lr": 1.4721239553795485e-06, "epoch": 2.2800000000000002, "percentage": 76.0, "elapsed_time": "1:54:44", "remaining_time": "0:36:14"} +{"current_steps": 286, "total_steps": 375, "loss": 1.1508, "lr": 1.4415919584771999e-06, "epoch": 2.288, "percentage": 76.27, "elapsed_time": "1:55:07", "remaining_time": "0:35:49"} +{"current_steps": 287, "total_steps": 375, "loss": 1.171, "lr": 1.4113264875442201e-06, "epoch": 2.296, "percentage": 76.53, "elapsed_time": "1:55:29", "remaining_time": "0:35:24"} +{"current_steps": 288, "total_steps": 375, "loss": 1.0647, "lr": 1.3813298094746491e-06, "epoch": 2.304, "percentage": 76.8, "elapsed_time": "1:55:53", "remaining_time": "0:35:00"} +{"current_steps": 289, "total_steps": 375, "loss": 1.21, "lr": 1.35160417102985e-06, "epoch": 2.312, "percentage": 77.07, "elapsed_time": "1:56:16", "remaining_time": "0:34:35"} +{"current_steps": 290, "total_steps": 375, "loss": 1.3148, "lr": 1.3221517986702249e-06, "epoch": 2.32, "percentage": 77.33, "elapsed_time": "1:56:38", "remaining_time": "0:34:11"} +{"current_steps": 291, "total_steps": 375, "loss": 1.133, "lr": 1.292974898388456e-06, "epoch": 2.328, "percentage": 77.6, "elapsed_time": "1:57:01", "remaining_time": "0:33:46"} +{"current_steps": 292, "total_steps": 375, "loss": 1.1668, "lr": 1.2640756555442684e-06, "epoch": 2.336, "percentage": 77.87, "elapsed_time": "1:57:24", "remaining_time": "0:33:22"} +{"current_steps": 293, "total_steps": 375, "loss": 1.1914, "lr": 1.235456234700756e-06, "epoch": 2.344, "percentage": 78.13, "elapsed_time": "1:57:50", "remaining_time": "0:32:58"} +{"current_steps": 294, "total_steps": 375, "loss": 1.1777, "lr": 1.207118779462248e-06, "epoch": 2.352, "percentage": 78.4, "elapsed_time": "1:58:13", "remaining_time": "0:32:34"} +{"current_steps": 295, "total_steps": 375, "loss": 1.1946, "lr": 1.1790654123137552e-06, "epoch": 2.36, "percentage": 78.67, "elapsed_time": "1:58:36", "remaining_time": "0:32:09"} +{"current_steps": 296, "total_steps": 375, "loss": 1.2927, "lr": 1.1512982344619904e-06, "epoch": 2.368, "percentage": 78.93, "elapsed_time": "1:59:01", "remaining_time": "0:31:46"} +{"current_steps": 297, "total_steps": 375, "loss": 1.3264, "lr": 1.1238193256779955e-06, "epoch": 2.376, "percentage": 79.2, "elapsed_time": "1:59:24", "remaining_time": "0:31:21"} +{"current_steps": 298, "total_steps": 375, "loss": 1.1768, "lr": 1.0966307441413598e-06, "epoch": 2.384, "percentage": 79.47, "elapsed_time": "1:59:47", "remaining_time": "0:30:57"} +{"current_steps": 299, "total_steps": 375, "loss": 1.1419, "lr": 1.0697345262860638e-06, "epoch": 2.392, "percentage": 79.73, "elapsed_time": "2:00:10", "remaining_time": "0:30:32"} +{"current_steps": 300, "total_steps": 375, "loss": 1.1746, "lr": 1.0431326866479457e-06, "epoch": 2.4, "percentage": 80.0, "elapsed_time": "2:00:34", "remaining_time": "0:30:08"} +{"current_steps": 301, "total_steps": 375, "loss": 1.2397, "lr": 1.01682721771382e-06, "epoch": 2.408, "percentage": 80.27, "elapsed_time": "2:00:56", "remaining_time": "0:29:44"} +{"current_steps": 302, "total_steps": 375, "loss": 1.1136, "lr": 9.908200897722332e-07, "epoch": 2.416, "percentage": 80.53, "elapsed_time": "2:01:20", "remaining_time": "0:29:19"} +{"current_steps": 303, "total_steps": 375, "loss": 1.2358, "lr": 9.6511325076589e-07, "epoch": 2.424, "percentage": 80.8, "elapsed_time": "2:01:43", "remaining_time": "0:28:55"} +{"current_steps": 304, "total_steps": 375, "loss": 1.1577, "lr": 9.397086261457511e-07, "epoch": 2.432, "percentage": 81.07, "elapsed_time": "2:02:07", "remaining_time": "0:28:31"} +{"current_steps": 305, "total_steps": 375, "loss": 1.1313, "lr": 9.146081187268185e-07, "epoch": 2.44, "percentage": 81.33, "elapsed_time": "2:02:31", "remaining_time": "0:28:07"} +{"current_steps": 306, "total_steps": 375, "loss": 1.2469, "lr": 8.898136085456127e-07, "epoch": 2.448, "percentage": 81.6, "elapsed_time": "2:02:55", "remaining_time": "0:27:43"} +{"current_steps": 307, "total_steps": 375, "loss": 1.1897, "lr": 8.65326952719357e-07, "epoch": 2.456, "percentage": 81.87, "elapsed_time": "2:03:20", "remaining_time": "0:27:19"} +{"current_steps": 308, "total_steps": 375, "loss": 1.2205, "lr": 8.411499853068783e-07, "epoch": 2.464, "percentage": 82.13, "elapsed_time": "2:03:45", "remaining_time": "0:26:55"} +{"current_steps": 309, "total_steps": 375, "loss": 1.1335, "lr": 8.172845171712379e-07, "epoch": 2.472, "percentage": 82.4, "elapsed_time": "2:04:12", "remaining_time": "0:26:31"} +{"current_steps": 310, "total_steps": 375, "loss": 1.1261, "lr": 7.937323358440935e-07, "epoch": 2.48, "percentage": 82.67, "elapsed_time": "2:04:36", "remaining_time": "0:26:07"} +{"current_steps": 311, "total_steps": 375, "loss": 1.1149, "lr": 7.70495205391818e-07, "epoch": 2.488, "percentage": 82.93, "elapsed_time": "2:05:00", "remaining_time": "0:25:43"} +{"current_steps": 312, "total_steps": 375, "loss": 1.2633, "lr": 7.475748662833615e-07, "epoch": 2.496, "percentage": 83.2, "elapsed_time": "2:05:24", "remaining_time": "0:25:19"} +{"current_steps": 313, "total_steps": 375, "loss": 1.2781, "lr": 7.249730352599e-07, "epoch": 2.504, "percentage": 83.47, "elapsed_time": "2:05:48", "remaining_time": "0:24:55"} +{"current_steps": 314, "total_steps": 375, "loss": 1.1741, "lr": 7.026914052062433e-07, "epoch": 2.512, "percentage": 83.73, "elapsed_time": "2:06:14", "remaining_time": "0:24:31"} +{"current_steps": 315, "total_steps": 375, "loss": 1.183, "lr": 6.807316450240425e-07, "epoch": 2.52, "percentage": 84.0, "elapsed_time": "2:06:38", "remaining_time": "0:24:07"} +{"current_steps": 316, "total_steps": 375, "loss": 1.2157, "lr": 6.590953995067812e-07, "epoch": 2.528, "percentage": 84.27, "elapsed_time": "2:07:02", "remaining_time": "0:23:43"} +{"current_steps": 317, "total_steps": 375, "loss": 1.1956, "lr": 6.377842892165892e-07, "epoch": 2.536, "percentage": 84.53, "elapsed_time": "2:07:24", "remaining_time": "0:23:18"} +{"current_steps": 318, "total_steps": 375, "loss": 1.1124, "lr": 6.167999103628569e-07, "epoch": 2.544, "percentage": 84.8, "elapsed_time": "2:07:51", "remaining_time": "0:22:55"} +{"current_steps": 319, "total_steps": 375, "loss": 1.2367, "lr": 5.961438346826792e-07, "epoch": 2.552, "percentage": 85.07, "elapsed_time": "2:08:18", "remaining_time": "0:22:31"} +{"current_steps": 320, "total_steps": 375, "loss": 1.1769, "lr": 5.758176093231294e-07, "epoch": 2.56, "percentage": 85.33, "elapsed_time": "2:08:41", "remaining_time": "0:22:07"} +{"current_steps": 321, "total_steps": 375, "loss": 1.1362, "lr": 5.558227567253832e-07, "epoch": 2.568, "percentage": 85.6, "elapsed_time": "2:09:06", "remaining_time": "0:21:43"} +{"current_steps": 322, "total_steps": 375, "loss": 1.0455, "lr": 5.361607745106817e-07, "epoch": 2.576, "percentage": 85.87, "elapsed_time": "2:09:31", "remaining_time": "0:21:19"} +{"current_steps": 323, "total_steps": 375, "loss": 1.2309, "lr": 5.168331353681643e-07, "epoch": 2.584, "percentage": 86.13, "elapsed_time": "2:09:55", "remaining_time": "0:20:54"} +{"current_steps": 324, "total_steps": 375, "loss": 1.1187, "lr": 4.97841286944557e-07, "epoch": 2.592, "percentage": 86.4, "elapsed_time": "2:10:19", "remaining_time": "0:20:30"} +{"current_steps": 325, "total_steps": 375, "loss": 1.2398, "lr": 4.791866517357491e-07, "epoch": 2.6, "percentage": 86.67, "elapsed_time": "2:10:42", "remaining_time": "0:20:06"} +{"current_steps": 326, "total_steps": 375, "loss": 1.1547, "lr": 4.608706269802471e-07, "epoch": 2.608, "percentage": 86.93, "elapsed_time": "2:11:06", "remaining_time": "0:19:42"} +{"current_steps": 327, "total_steps": 375, "loss": 1.2571, "lr": 4.428945845545168e-07, "epoch": 2.616, "percentage": 87.2, "elapsed_time": "2:11:29", "remaining_time": "0:19:18"} +{"current_steps": 328, "total_steps": 375, "loss": 1.2648, "lr": 4.2525987087023433e-07, "epoch": 2.624, "percentage": 87.47, "elapsed_time": "2:11:53", "remaining_time": "0:18:53"} +{"current_steps": 329, "total_steps": 375, "loss": 1.211, "lr": 4.0796780677343606e-07, "epoch": 2.632, "percentage": 87.73, "elapsed_time": "2:12:20", "remaining_time": "0:18:30"} +{"current_steps": 330, "total_steps": 375, "loss": 1.1852, "lr": 3.910196874455896e-07, "epoch": 2.64, "percentage": 88.0, "elapsed_time": "2:12:43", "remaining_time": "0:18:05"} +{"current_steps": 331, "total_steps": 375, "loss": 1.2286, "lr": 3.744167823065814e-07, "epoch": 2.648, "percentage": 88.27, "elapsed_time": "2:13:06", "remaining_time": "0:17:41"} +{"current_steps": 332, "total_steps": 375, "loss": 1.1621, "lr": 3.581603349196372e-07, "epoch": 2.656, "percentage": 88.53, "elapsed_time": "2:13:29", "remaining_time": "0:17:17"} +{"current_steps": 333, "total_steps": 375, "loss": 1.2425, "lr": 3.4225156289818096e-07, "epoch": 2.664, "percentage": 88.8, "elapsed_time": "2:13:53", "remaining_time": "0:16:53"} +{"current_steps": 334, "total_steps": 375, "loss": 1.1193, "lr": 3.26691657814634e-07, "epoch": 2.672, "percentage": 89.07, "elapsed_time": "2:14:19", "remaining_time": "0:16:29"} +{"current_steps": 335, "total_steps": 375, "loss": 1.1053, "lr": 3.1148178511116624e-07, "epoch": 2.68, "percentage": 89.33, "elapsed_time": "2:14:44", "remaining_time": "0:16:05"} +{"current_steps": 336, "total_steps": 375, "loss": 1.1874, "lr": 2.966230840124007e-07, "epoch": 2.6879999999999997, "percentage": 89.6, "elapsed_time": "2:15:06", "remaining_time": "0:15:40"} +{"current_steps": 337, "total_steps": 375, "loss": 1.1105, "lr": 2.821166674400905e-07, "epoch": 2.6959999999999997, "percentage": 89.87, "elapsed_time": "2:15:31", "remaining_time": "0:15:16"} +{"current_steps": 338, "total_steps": 375, "loss": 1.1718, "lr": 2.6796362192975766e-07, "epoch": 2.7039999999999997, "percentage": 90.13, "elapsed_time": "2:15:55", "remaining_time": "0:14:52"} +{"current_steps": 339, "total_steps": 375, "loss": 1.0511, "lr": 2.5416500754931294e-07, "epoch": 2.7119999999999997, "percentage": 90.4, "elapsed_time": "2:16:19", "remaining_time": "0:14:28"} +{"current_steps": 340, "total_steps": 375, "loss": 1.2698, "lr": 2.407218578196524e-07, "epoch": 2.7199999999999998, "percentage": 90.67, "elapsed_time": "2:16:43", "remaining_time": "0:14:04"} +{"current_steps": 341, "total_steps": 375, "loss": 1.2182, "lr": 2.2763517963725169e-07, "epoch": 2.7279999999999998, "percentage": 90.93, "elapsed_time": "2:17:06", "remaining_time": "0:13:40"} +{"current_steps": 342, "total_steps": 375, "loss": 1.2383, "lr": 2.1490595319874574e-07, "epoch": 2.7359999999999998, "percentage": 91.2, "elapsed_time": "2:17:34", "remaining_time": "0:13:16"} +{"current_steps": 343, "total_steps": 375, "loss": 1.1606, "lr": 2.0253513192751374e-07, "epoch": 2.7439999999999998, "percentage": 91.47, "elapsed_time": "2:17:59", "remaining_time": "0:12:52"} +{"current_steps": 344, "total_steps": 375, "loss": 1.1782, "lr": 1.905236424022633e-07, "epoch": 2.752, "percentage": 91.73, "elapsed_time": "2:18:23", "remaining_time": "0:12:28"} +{"current_steps": 345, "total_steps": 375, "loss": 1.1847, "lr": 1.7887238428763553e-07, "epoch": 2.76, "percentage": 92.0, "elapsed_time": "2:18:48", "remaining_time": "0:12:04"} +{"current_steps": 346, "total_steps": 375, "loss": 1.2057, "lr": 1.6758223026681507e-07, "epoch": 2.768, "percentage": 92.27, "elapsed_time": "2:19:13", "remaining_time": "0:11:40"} +{"current_steps": 347, "total_steps": 375, "loss": 1.0974, "lr": 1.5665402597616842e-07, "epoch": 2.776, "percentage": 92.53, "elapsed_time": "2:19:38", "remaining_time": "0:11:16"} +{"current_steps": 348, "total_steps": 375, "loss": 1.169, "lr": 1.4608858994190344e-07, "epoch": 2.784, "percentage": 92.8, "elapsed_time": "2:20:02", "remaining_time": "0:10:51"} +{"current_steps": 349, "total_steps": 375, "loss": 1.1029, "lr": 1.358867135187636e-07, "epoch": 2.792, "percentage": 93.07, "elapsed_time": "2:20:28", "remaining_time": "0:10:27"} +{"current_steps": 350, "total_steps": 375, "loss": 1.1654, "lr": 1.2604916083075236e-07, "epoch": 2.8, "percentage": 93.33, "elapsed_time": "2:20:50", "remaining_time": "0:10:03"} +{"current_steps": 351, "total_steps": 375, "loss": 1.0817, "lr": 1.1657666871390471e-07, "epoch": 2.808, "percentage": 93.6, "elapsed_time": "2:21:15", "remaining_time": "0:09:39"} +{"current_steps": 352, "total_steps": 375, "loss": 1.3023, "lr": 1.0746994666109234e-07, "epoch": 2.816, "percentage": 93.87, "elapsed_time": "2:21:39", "remaining_time": "0:09:15"} +{"current_steps": 353, "total_steps": 375, "loss": 1.1863, "lr": 9.872967676888611e-08, "epoch": 2.824, "percentage": 94.13, "elapsed_time": "2:22:02", "remaining_time": "0:08:51"} +{"current_steps": 354, "total_steps": 375, "loss": 1.1599, "lr": 9.035651368646647e-08, "epoch": 2.832, "percentage": 94.4, "elapsed_time": "2:22:24", "remaining_time": "0:08:26"} +{"current_steps": 355, "total_steps": 375, "loss": 1.2885, "lr": 8.235108456658814e-08, "epoch": 2.84, "percentage": 94.67, "elapsed_time": "2:22:48", "remaining_time": "0:08:02"} +{"current_steps": 356, "total_steps": 375, "loss": 1.2252, "lr": 7.471398901860772e-08, "epoch": 2.848, "percentage": 94.93, "elapsed_time": "2:23:13", "remaining_time": "0:07:38"} +{"current_steps": 357, "total_steps": 375, "loss": 1.2234, "lr": 6.744579906357185e-08, "epoch": 2.856, "percentage": 95.2, "elapsed_time": "2:23:37", "remaining_time": "0:07:14"} +{"current_steps": 358, "total_steps": 375, "loss": 1.1826, "lr": 6.054705909137426e-08, "epoch": 2.864, "percentage": 95.47, "elapsed_time": "2:24:02", "remaining_time": "0:06:50"} +{"current_steps": 359, "total_steps": 375, "loss": 1.1835, "lr": 5.401828581997948e-08, "epoch": 2.872, "percentage": 95.73, "elapsed_time": "2:24:24", "remaining_time": "0:06:26"} +{"current_steps": 360, "total_steps": 375, "loss": 1.0867, "lr": 4.7859968256719344e-08, "epoch": 2.88, "percentage": 96.0, "elapsed_time": "2:24:50", "remaining_time": "0:06:02"} +{"current_steps": 361, "total_steps": 375, "loss": 1.1871, "lr": 4.207256766166845e-08, "epoch": 2.888, "percentage": 96.27, "elapsed_time": "2:25:16", "remaining_time": "0:05:38"} +{"current_steps": 362, "total_steps": 375, "loss": 1.2517, "lr": 3.665651751309451e-08, "epoch": 2.896, "percentage": 96.53, "elapsed_time": "2:25:40", "remaining_time": "0:05:13"} +{"current_steps": 363, "total_steps": 375, "loss": 1.2392, "lr": 3.16122234749916e-08, "epoch": 2.904, "percentage": 96.8, "elapsed_time": "2:26:03", "remaining_time": "0:04:49"} +{"current_steps": 364, "total_steps": 375, "loss": 1.0573, "lr": 2.6940063366693303e-08, "epoch": 2.912, "percentage": 97.07, "elapsed_time": "2:26:27", "remaining_time": "0:04:25"} +{"current_steps": 365, "total_steps": 375, "loss": 1.1827, "lr": 2.264038713457706e-08, "epoch": 2.92, "percentage": 97.33, "elapsed_time": "2:26:52", "remaining_time": "0:04:01"} +{"current_steps": 366, "total_steps": 375, "loss": 1.1677, "lr": 1.8713516825851207e-08, "epoch": 2.928, "percentage": 97.6, "elapsed_time": "2:27:16", "remaining_time": "0:03:37"} +{"current_steps": 367, "total_steps": 375, "loss": 1.15, "lr": 1.51597465644332e-08, "epoch": 2.936, "percentage": 97.87, "elapsed_time": "2:27:38", "remaining_time": "0:03:13"} +{"current_steps": 368, "total_steps": 375, "loss": 1.067, "lr": 1.1979342528922189e-08, "epoch": 2.944, "percentage": 98.13, "elapsed_time": "2:28:02", "remaining_time": "0:02:48"} +{"current_steps": 369, "total_steps": 375, "loss": 1.1662, "lr": 9.1725429326589e-09, "epoch": 2.952, "percentage": 98.4, "elapsed_time": "2:28:28", "remaining_time": "0:02:24"} +{"current_steps": 370, "total_steps": 375, "loss": 1.2158, "lr": 6.739558005884883e-09, "epoch": 2.96, "percentage": 98.67, "elapsed_time": "2:28:51", "remaining_time": "0:02:00"} +{"current_steps": 371, "total_steps": 375, "loss": 1.2243, "lr": 4.6805699799967744e-09, "epoch": 2.968, "percentage": 98.93, "elapsed_time": "2:29:14", "remaining_time": "0:01:36"} +{"current_steps": 372, "total_steps": 375, "loss": 1.2542, "lr": 2.995733073895557e-09, "epoch": 2.976, "percentage": 99.2, "elapsed_time": "2:29:37", "remaining_time": "0:01:12"} +{"current_steps": 373, "total_steps": 375, "loss": 1.1568, "lr": 1.6851734824380184e-09, "epoch": 2.984, "percentage": 99.47, "elapsed_time": "2:30:02", "remaining_time": "0:00:48"} +{"current_steps": 374, "total_steps": 375, "loss": 1.1133, "lr": 7.48989366980979e-10, "epoch": 2.992, "percentage": 99.73, "elapsed_time": "2:30:26", "remaining_time": "0:00:24"} +{"current_steps": 375, "total_steps": 375, "loss": 1.1486, "lr": 1.872508480332824e-10, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2:30:52", "remaining_time": "0:00:00"} +{"current_steps": 375, "total_steps": 375, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "2:31:27", "remaining_time": "0:00:00"} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..87205ee --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,2668 @@ +{ + "best_global_step": null, + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 3.0, + "eval_steps": 500, + "global_step": 375, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.008, + "grad_norm": 6.165421485900879, + "learning_rate": 0.0, + "loss": 2.3147, + "step": 1 + }, + { + "epoch": 0.016, + "grad_norm": 5.735071659088135, + "learning_rate": 8.333333333333333e-07, + "loss": 2.2195, + "step": 2 + }, + { + "epoch": 0.024, + "grad_norm": 6.245882987976074, + "learning_rate": 1.6666666666666667e-06, + "loss": 2.3793, + "step": 3 + }, + { + "epoch": 0.032, + "grad_norm": 6.186586856842041, + "learning_rate": 2.5e-06, + "loss": 2.2879, + "step": 4 + }, + { + "epoch": 0.04, + "grad_norm": 5.804585933685303, + "learning_rate": 3.3333333333333333e-06, + "loss": 2.2428, + "step": 5 + }, + { + "epoch": 0.048, + "grad_norm": 5.387149333953857, + "learning_rate": 4.166666666666667e-06, + "loss": 2.2197, + "step": 6 + }, + { + "epoch": 0.056, + "grad_norm": 4.933386325836182, + "learning_rate": 5e-06, + "loss": 2.0332, + "step": 7 + }, + { + "epoch": 0.064, + "grad_norm": 3.527738571166992, + "learning_rate": 5.833333333333334e-06, + "loss": 2.1247, + "step": 8 + }, + { + "epoch": 0.072, + "grad_norm": 3.6139931678771973, + "learning_rate": 6.666666666666667e-06, + "loss": 2.1694, + "step": 9 + }, + { + "epoch": 0.08, + "grad_norm": 2.918950080871582, + "learning_rate": 7.500000000000001e-06, + "loss": 2.1108, + "step": 10 + }, + { + "epoch": 0.088, + "grad_norm": 2.8728139400482178, + "learning_rate": 8.333333333333334e-06, + "loss": 2.0756, + "step": 11 + }, + { + "epoch": 0.096, + "grad_norm": 2.7820944786071777, + "learning_rate": 9.166666666666666e-06, + "loss": 2.0886, + "step": 12 + }, + { + "epoch": 0.104, + "grad_norm": 2.8887734413146973, + "learning_rate": 1e-05, + "loss": 1.9143, + "step": 13 + }, + { + "epoch": 0.112, + "grad_norm": 2.7269833087921143, + "learning_rate": 9.999812749151968e-06, + "loss": 1.7421, + "step": 14 + }, + { + "epoch": 0.12, + "grad_norm": 2.4814541339874268, + "learning_rate": 9.99925101063302e-06, + "loss": 1.9555, + "step": 15 + }, + { + "epoch": 0.128, + "grad_norm": 2.188281297683716, + "learning_rate": 9.998314826517564e-06, + "loss": 1.7679, + "step": 16 + }, + { + "epoch": 0.136, + "grad_norm": 2.072674036026001, + "learning_rate": 9.997004266926105e-06, + "loss": 1.8436, + "step": 17 + }, + { + "epoch": 0.144, + "grad_norm": 1.929784893989563, + "learning_rate": 9.995319430020004e-06, + "loss": 1.6908, + "step": 18 + }, + { + "epoch": 0.152, + "grad_norm": 1.532141089439392, + "learning_rate": 9.993260441994116e-06, + "loss": 1.8093, + "step": 19 + }, + { + "epoch": 0.16, + "grad_norm": 1.5804815292358398, + "learning_rate": 9.990827457067342e-06, + "loss": 1.8674, + "step": 20 + }, + { + "epoch": 0.168, + "grad_norm": 1.6191236972808838, + "learning_rate": 9.988020657471078e-06, + "loss": 1.8742, + "step": 21 + }, + { + "epoch": 0.176, + "grad_norm": 1.451058030128479, + "learning_rate": 9.984840253435569e-06, + "loss": 1.7627, + "step": 22 + }, + { + "epoch": 0.184, + "grad_norm": 1.297680139541626, + "learning_rate": 9.98128648317415e-06, + "loss": 1.7632, + "step": 23 + }, + { + "epoch": 0.192, + "grad_norm": 1.2567354440689087, + "learning_rate": 9.977359612865424e-06, + "loss": 1.7992, + "step": 24 + }, + { + "epoch": 0.2, + "grad_norm": 1.2900863885879517, + "learning_rate": 9.973059936633308e-06, + "loss": 1.7215, + "step": 25 + }, + { + "epoch": 0.208, + "grad_norm": 1.2776153087615967, + "learning_rate": 9.968387776525009e-06, + "loss": 1.7456, + "step": 26 + }, + { + "epoch": 0.216, + "grad_norm": 1.263024926185608, + "learning_rate": 9.963343482486907e-06, + "loss": 1.7512, + "step": 27 + }, + { + "epoch": 0.224, + "grad_norm": 1.2118524312973022, + "learning_rate": 9.957927432338332e-06, + "loss": 1.801, + "step": 28 + }, + { + "epoch": 0.232, + "grad_norm": 1.1955608129501343, + "learning_rate": 9.952140031743282e-06, + "loss": 1.7266, + "step": 29 + }, + { + "epoch": 0.24, + "grad_norm": 1.2853139638900757, + "learning_rate": 9.945981714180021e-06, + "loss": 1.8852, + "step": 30 + }, + { + "epoch": 0.248, + "grad_norm": 1.1693278551101685, + "learning_rate": 9.939452940908627e-06, + "loss": 1.6649, + "step": 31 + }, + { + "epoch": 0.256, + "grad_norm": 1.2286041975021362, + "learning_rate": 9.932554200936428e-06, + "loss": 1.7861, + "step": 32 + }, + { + "epoch": 0.264, + "grad_norm": 1.34682297706604, + "learning_rate": 9.925286010981394e-06, + "loss": 1.7849, + "step": 33 + }, + { + "epoch": 0.272, + "grad_norm": 1.2271584272384644, + "learning_rate": 9.917648915433413e-06, + "loss": 1.8268, + "step": 34 + }, + { + "epoch": 0.28, + "grad_norm": 1.2259082794189453, + "learning_rate": 9.909643486313533e-06, + "loss": 1.7176, + "step": 35 + }, + { + "epoch": 0.288, + "grad_norm": 1.1778770685195923, + "learning_rate": 9.901270323231114e-06, + "loss": 1.7909, + "step": 36 + }, + { + "epoch": 0.296, + "grad_norm": 1.1178228855133057, + "learning_rate": 9.892530053338909e-06, + "loss": 1.7618, + "step": 37 + }, + { + "epoch": 0.304, + "grad_norm": 1.1982990503311157, + "learning_rate": 9.883423331286096e-06, + "loss": 1.7316, + "step": 38 + }, + { + "epoch": 0.312, + "grad_norm": 1.0350874662399292, + "learning_rate": 9.873950839169248e-06, + "loss": 1.6342, + "step": 39 + }, + { + "epoch": 0.32, + "grad_norm": 1.188277244567871, + "learning_rate": 9.864113286481237e-06, + "loss": 1.7302, + "step": 40 + }, + { + "epoch": 0.328, + "grad_norm": 1.1097241640090942, + "learning_rate": 9.853911410058097e-06, + "loss": 1.5871, + "step": 41 + }, + { + "epoch": 0.336, + "grad_norm": 1.1486974954605103, + "learning_rate": 9.843345974023833e-06, + "loss": 1.7055, + "step": 42 + }, + { + "epoch": 0.344, + "grad_norm": 1.1390248537063599, + "learning_rate": 9.832417769733185e-06, + "loss": 1.725, + "step": 43 + }, + { + "epoch": 0.352, + "grad_norm": 1.1239397525787354, + "learning_rate": 9.821127615712365e-06, + "loss": 1.7716, + "step": 44 + }, + { + "epoch": 0.36, + "grad_norm": 1.095049262046814, + "learning_rate": 9.809476357597738e-06, + "loss": 1.6597, + "step": 45 + }, + { + "epoch": 0.368, + "grad_norm": 1.2124348878860474, + "learning_rate": 9.797464868072489e-06, + "loss": 1.7454, + "step": 46 + }, + { + "epoch": 0.376, + "grad_norm": 1.1528229713439941, + "learning_rate": 9.785094046801256e-06, + "loss": 1.813, + "step": 47 + }, + { + "epoch": 0.384, + "grad_norm": 1.1076029539108276, + "learning_rate": 9.77236482036275e-06, + "loss": 1.6276, + "step": 48 + }, + { + "epoch": 0.392, + "grad_norm": 1.1525791883468628, + "learning_rate": 9.759278142180348e-06, + "loss": 1.6772, + "step": 49 + }, + { + "epoch": 0.4, + "grad_norm": 1.1833432912826538, + "learning_rate": 9.745834992450688e-06, + "loss": 1.7564, + "step": 50 + }, + { + "epoch": 0.408, + "grad_norm": 1.220745325088501, + "learning_rate": 9.732036378070243e-06, + "loss": 1.7262, + "step": 51 + }, + { + "epoch": 0.416, + "grad_norm": 1.1543320417404175, + "learning_rate": 9.717883332559911e-06, + "loss": 1.5396, + "step": 52 + }, + { + "epoch": 0.424, + "grad_norm": 1.1147841215133667, + "learning_rate": 9.703376915987601e-06, + "loss": 1.7466, + "step": 53 + }, + { + "epoch": 0.432, + "grad_norm": 1.0171838998794556, + "learning_rate": 9.688518214888836e-06, + "loss": 1.6408, + "step": 54 + }, + { + "epoch": 0.44, + "grad_norm": 1.0049159526824951, + "learning_rate": 9.673308342185366e-06, + "loss": 1.5324, + "step": 55 + }, + { + "epoch": 0.448, + "grad_norm": 1.069504737854004, + "learning_rate": 9.657748437101819e-06, + "loss": 1.5823, + "step": 56 + }, + { + "epoch": 0.456, + "grad_norm": 1.0831701755523682, + "learning_rate": 9.641839665080363e-06, + "loss": 1.7311, + "step": 57 + }, + { + "epoch": 0.464, + "grad_norm": 1.0674666166305542, + "learning_rate": 9.625583217693419e-06, + "loss": 1.8164, + "step": 58 + }, + { + "epoch": 0.472, + "grad_norm": 1.0751819610595703, + "learning_rate": 9.60898031255441e-06, + "loss": 1.6059, + "step": 59 + }, + { + "epoch": 0.48, + "grad_norm": 1.0138529539108276, + "learning_rate": 9.592032193226564e-06, + "loss": 1.7617, + "step": 60 + }, + { + "epoch": 0.488, + "grad_norm": 1.0597162246704102, + "learning_rate": 9.574740129129767e-06, + "loss": 1.7207, + "step": 61 + }, + { + "epoch": 0.496, + "grad_norm": 1.0368247032165527, + "learning_rate": 9.557105415445485e-06, + "loss": 1.7482, + "step": 62 + }, + { + "epoch": 0.504, + "grad_norm": 1.0020555257797241, + "learning_rate": 9.539129373019755e-06, + "loss": 1.7692, + "step": 63 + }, + { + "epoch": 0.512, + "grad_norm": 1.0732332468032837, + "learning_rate": 9.520813348264252e-06, + "loss": 1.737, + "step": 64 + }, + { + "epoch": 0.52, + "grad_norm": 0.9923004508018494, + "learning_rate": 9.502158713055444e-06, + "loss": 1.6523, + "step": 65 + }, + { + "epoch": 0.528, + "grad_norm": 1.0406478643417358, + "learning_rate": 9.483166864631837e-06, + "loss": 1.7734, + "step": 66 + }, + { + "epoch": 0.536, + "grad_norm": 1.030851125717163, + "learning_rate": 9.46383922548932e-06, + "loss": 1.6183, + "step": 67 + }, + { + "epoch": 0.544, + "grad_norm": 1.0091995000839233, + "learning_rate": 9.444177243274619e-06, + "loss": 1.6967, + "step": 68 + }, + { + "epoch": 0.552, + "grad_norm": 1.0016194581985474, + "learning_rate": 9.424182390676872e-06, + "loss": 1.5285, + "step": 69 + }, + { + "epoch": 0.56, + "grad_norm": 1.0569149255752563, + "learning_rate": 9.403856165317322e-06, + "loss": 1.7399, + "step": 70 + }, + { + "epoch": 0.568, + "grad_norm": 1.0487375259399414, + "learning_rate": 9.383200089637143e-06, + "loss": 1.6845, + "step": 71 + }, + { + "epoch": 0.576, + "grad_norm": 1.0257350206375122, + "learning_rate": 9.362215710783411e-06, + "loss": 1.6052, + "step": 72 + }, + { + "epoch": 0.584, + "grad_norm": 0.9415053129196167, + "learning_rate": 9.34090460049322e-06, + "loss": 1.6624, + "step": 73 + }, + { + "epoch": 0.592, + "grad_norm": 0.982798159122467, + "learning_rate": 9.319268354975958e-06, + "loss": 1.581, + "step": 74 + }, + { + "epoch": 0.6, + "grad_norm": 1.0241587162017822, + "learning_rate": 9.297308594793757e-06, + "loss": 1.6495, + "step": 75 + }, + { + "epoch": 0.608, + "grad_norm": 1.0798351764678955, + "learning_rate": 9.275026964740101e-06, + "loss": 1.6056, + "step": 76 + }, + { + "epoch": 0.616, + "grad_norm": 1.0368587970733643, + "learning_rate": 9.252425133716639e-06, + "loss": 1.679, + "step": 77 + }, + { + "epoch": 0.624, + "grad_norm": 1.019658088684082, + "learning_rate": 9.229504794608182e-06, + "loss": 1.6168, + "step": 78 + }, + { + "epoch": 0.632, + "grad_norm": 0.9923626184463501, + "learning_rate": 9.206267664155906e-06, + "loss": 1.6812, + "step": 79 + }, + { + "epoch": 0.64, + "grad_norm": 0.9651780724525452, + "learning_rate": 9.182715482828764e-06, + "loss": 1.6214, + "step": 80 + }, + { + "epoch": 0.648, + "grad_norm": 1.065513014793396, + "learning_rate": 9.158850014693123e-06, + "loss": 1.6537, + "step": 81 + }, + { + "epoch": 0.656, + "grad_norm": 0.9438872933387756, + "learning_rate": 9.134673047280644e-06, + "loss": 1.602, + "step": 82 + }, + { + "epoch": 0.664, + "grad_norm": 1.0228830575942993, + "learning_rate": 9.110186391454389e-06, + "loss": 1.7139, + "step": 83 + }, + { + "epoch": 0.672, + "grad_norm": 1.0108044147491455, + "learning_rate": 9.085391881273182e-06, + "loss": 1.6621, + "step": 84 + }, + { + "epoch": 0.68, + "grad_norm": 0.9967405200004578, + "learning_rate": 9.060291373854252e-06, + "loss": 1.6323, + "step": 85 + }, + { + "epoch": 0.688, + "grad_norm": 1.0818958282470703, + "learning_rate": 9.034886749234112e-06, + "loss": 1.6435, + "step": 86 + }, + { + "epoch": 0.696, + "grad_norm": 1.012364149093628, + "learning_rate": 9.009179910227767e-06, + "loss": 1.6756, + "step": 87 + }, + { + "epoch": 0.704, + "grad_norm": 1.084316372871399, + "learning_rate": 8.98317278228618e-06, + "loss": 1.6813, + "step": 88 + }, + { + "epoch": 0.712, + "grad_norm": 1.0937138795852661, + "learning_rate": 8.956867313352055e-06, + "loss": 1.6627, + "step": 89 + }, + { + "epoch": 0.72, + "grad_norm": 1.081781268119812, + "learning_rate": 8.930265473713939e-06, + "loss": 1.8571, + "step": 90 + }, + { + "epoch": 0.728, + "grad_norm": 0.9865168929100037, + "learning_rate": 8.90336925585864e-06, + "loss": 1.4989, + "step": 91 + }, + { + "epoch": 0.736, + "grad_norm": 1.0438846349716187, + "learning_rate": 8.876180674322006e-06, + "loss": 1.6913, + "step": 92 + }, + { + "epoch": 0.744, + "grad_norm": 1.0505565404891968, + "learning_rate": 8.84870176553801e-06, + "loss": 1.6397, + "step": 93 + }, + { + "epoch": 0.752, + "grad_norm": 0.908542275428772, + "learning_rate": 8.820934587686247e-06, + "loss": 1.5152, + "step": 94 + }, + { + "epoch": 0.76, + "grad_norm": 1.0538814067840576, + "learning_rate": 8.792881220537752e-06, + "loss": 1.5435, + "step": 95 + }, + { + "epoch": 0.768, + "grad_norm": 1.0938372611999512, + "learning_rate": 8.764543765299245e-06, + "loss": 1.5283, + "step": 96 + }, + { + "epoch": 0.776, + "grad_norm": 1.1297836303710938, + "learning_rate": 8.735924344455732e-06, + "loss": 1.6756, + "step": 97 + }, + { + "epoch": 0.784, + "grad_norm": 0.9867210984230042, + "learning_rate": 8.707025101611546e-06, + "loss": 1.613, + "step": 98 + }, + { + "epoch": 0.792, + "grad_norm": 1.0464468002319336, + "learning_rate": 8.677848201329775e-06, + "loss": 1.5942, + "step": 99 + }, + { + "epoch": 0.8, + "grad_norm": 1.0653105974197388, + "learning_rate": 8.64839582897015e-06, + "loss": 1.7216, + "step": 100 + }, + { + "epoch": 0.808, + "grad_norm": 0.9832385778427124, + "learning_rate": 8.61867019052535e-06, + "loss": 1.4699, + "step": 101 + }, + { + "epoch": 0.816, + "grad_norm": 0.9331985116004944, + "learning_rate": 8.588673512455781e-06, + "loss": 1.7439, + "step": 102 + }, + { + "epoch": 0.824, + "grad_norm": 0.9516758322715759, + "learning_rate": 8.558408041522801e-06, + "loss": 1.696, + "step": 103 + }, + { + "epoch": 0.832, + "grad_norm": 1.0405412912368774, + "learning_rate": 8.527876044620453e-06, + "loss": 1.713, + "step": 104 + }, + { + "epoch": 0.84, + "grad_norm": 0.9289470314979553, + "learning_rate": 8.497079808605659e-06, + "loss": 1.7213, + "step": 105 + }, + { + "epoch": 0.848, + "grad_norm": 0.9201377034187317, + "learning_rate": 8.466021640126946e-06, + "loss": 1.6091, + "step": 106 + }, + { + "epoch": 0.856, + "grad_norm": 0.9733519554138184, + "learning_rate": 8.434703865451666e-06, + "loss": 1.6345, + "step": 107 + }, + { + "epoch": 0.864, + "grad_norm": 1.0086345672607422, + "learning_rate": 8.403128830291767e-06, + "loss": 1.6443, + "step": 108 + }, + { + "epoch": 0.872, + "grad_norm": 1.031723141670227, + "learning_rate": 8.371298899628091e-06, + "loss": 1.6869, + "step": 109 + }, + { + "epoch": 0.88, + "grad_norm": 0.98936527967453, + "learning_rate": 8.339216457533244e-06, + "loss": 1.5866, + "step": 110 + }, + { + "epoch": 0.888, + "grad_norm": 0.962455689907074, + "learning_rate": 8.306883906993022e-06, + "loss": 1.6483, + "step": 111 + }, + { + "epoch": 0.896, + "grad_norm": 0.9804932475090027, + "learning_rate": 8.274303669726427e-06, + "loss": 1.594, + "step": 112 + }, + { + "epoch": 0.904, + "grad_norm": 0.9484031200408936, + "learning_rate": 8.24147818600428e-06, + "loss": 1.4755, + "step": 113 + }, + { + "epoch": 0.912, + "grad_norm": 1.0301589965820312, + "learning_rate": 8.20840991446645e-06, + "loss": 1.6598, + "step": 114 + }, + { + "epoch": 0.92, + "grad_norm": 0.9916971325874329, + "learning_rate": 8.175101331937692e-06, + "loss": 1.5304, + "step": 115 + }, + { + "epoch": 0.928, + "grad_norm": 0.9457253813743591, + "learning_rate": 8.141554933242135e-06, + "loss": 1.6354, + "step": 116 + }, + { + "epoch": 0.936, + "grad_norm": 1.002668023109436, + "learning_rate": 8.10777323101642e-06, + "loss": 1.5989, + "step": 117 + }, + { + "epoch": 0.944, + "grad_norm": 1.0599579811096191, + "learning_rate": 8.073758755521506e-06, + "loss": 1.6564, + "step": 118 + }, + { + "epoch": 0.952, + "grad_norm": 0.9575379490852356, + "learning_rate": 8.03951405445314e-06, + "loss": 1.5884, + "step": 119 + }, + { + "epoch": 0.96, + "grad_norm": 0.8948677182197571, + "learning_rate": 8.005041692751055e-06, + "loss": 1.5128, + "step": 120 + }, + { + "epoch": 0.968, + "grad_norm": 0.9918161034584045, + "learning_rate": 7.970344252406832e-06, + "loss": 1.7014, + "step": 121 + }, + { + "epoch": 0.976, + "grad_norm": 1.0054118633270264, + "learning_rate": 7.935424332270523e-06, + "loss": 1.6341, + "step": 122 + }, + { + "epoch": 0.984, + "grad_norm": 0.9967445731163025, + "learning_rate": 7.900284547855992e-06, + "loss": 1.6521, + "step": 123 + }, + { + "epoch": 0.992, + "grad_norm": 1.0111421346664429, + "learning_rate": 7.864927531145012e-06, + "loss": 1.7013, + "step": 124 + }, + { + "epoch": 1.0, + "grad_norm": 0.9393289685249329, + "learning_rate": 7.829355930390126e-06, + "loss": 1.5216, + "step": 125 + }, + { + "epoch": 1.008, + "grad_norm": 0.9452322125434875, + "learning_rate": 7.7935724099163e-06, + "loss": 1.4109, + "step": 126 + }, + { + "epoch": 1.016, + "grad_norm": 1.041080355644226, + "learning_rate": 7.757579649921354e-06, + "loss": 1.4167, + "step": 127 + }, + { + "epoch": 1.024, + "grad_norm": 1.0035260915756226, + "learning_rate": 7.721380346275221e-06, + "loss": 1.4185, + "step": 128 + }, + { + "epoch": 1.032, + "grad_norm": 0.9582903385162354, + "learning_rate": 7.684977210318024e-06, + "loss": 1.5076, + "step": 129 + }, + { + "epoch": 1.04, + "grad_norm": 0.9640058279037476, + "learning_rate": 7.648372968656995e-06, + "loss": 1.4809, + "step": 130 + }, + { + "epoch": 1.048, + "grad_norm": 0.9298117160797119, + "learning_rate": 7.611570362962247e-06, + "loss": 1.4613, + "step": 131 + }, + { + "epoch": 1.056, + "grad_norm": 0.922681450843811, + "learning_rate": 7.574572149761437e-06, + "loss": 1.3367, + "step": 132 + }, + { + "epoch": 1.064, + "grad_norm": 0.9627285599708557, + "learning_rate": 7.5373811002332785e-06, + "loss": 1.3333, + "step": 133 + }, + { + "epoch": 1.072, + "grad_norm": 0.9147132635116577, + "learning_rate": 7.500000000000001e-06, + "loss": 1.2811, + "step": 134 + }, + { + "epoch": 1.08, + "grad_norm": 0.942388117313385, + "learning_rate": 7.462431648918689e-06, + "loss": 1.2576, + "step": 135 + }, + { + "epoch": 1.088, + "grad_norm": 0.9468157291412354, + "learning_rate": 7.424678860871584e-06, + "loss": 1.3759, + "step": 136 + }, + { + "epoch": 1.096, + "grad_norm": 0.8806234002113342, + "learning_rate": 7.3867444635553165e-06, + "loss": 1.2774, + "step": 137 + }, + { + "epoch": 1.104, + "grad_norm": 0.962507426738739, + "learning_rate": 7.3486312982691134e-06, + "loss": 1.346, + "step": 138 + }, + { + "epoch": 1.112, + "grad_norm": 0.9227285385131836, + "learning_rate": 7.310342219701981e-06, + "loss": 1.3977, + "step": 139 + }, + { + "epoch": 1.12, + "grad_norm": 0.9752129316329956, + "learning_rate": 7.271880095718895e-06, + "loss": 1.3203, + "step": 140 + }, + { + "epoch": 1.1280000000000001, + "grad_norm": 0.9896626472473145, + "learning_rate": 7.233247807145989e-06, + "loss": 1.3563, + "step": 141 + }, + { + "epoch": 1.1360000000000001, + "grad_norm": 0.9603149890899658, + "learning_rate": 7.19444824755478e-06, + "loss": 1.4031, + "step": 142 + }, + { + "epoch": 1.144, + "grad_norm": 0.9318594336509705, + "learning_rate": 7.155484323045442e-06, + "loss": 1.3123, + "step": 143 + }, + { + "epoch": 1.152, + "grad_norm": 0.9754460453987122, + "learning_rate": 7.11635895202914e-06, + "loss": 1.3359, + "step": 144 + }, + { + "epoch": 1.16, + "grad_norm": 0.9400285482406616, + "learning_rate": 7.0770750650094335e-06, + "loss": 1.4203, + "step": 145 + }, + { + "epoch": 1.168, + "grad_norm": 0.9439907073974609, + "learning_rate": 7.037635604362786e-06, + "loss": 1.3475, + "step": 146 + }, + { + "epoch": 1.176, + "grad_norm": 0.9856473803520203, + "learning_rate": 6.9980435241181785e-06, + "loss": 1.3728, + "step": 147 + }, + { + "epoch": 1.184, + "grad_norm": 1.0352829694747925, + "learning_rate": 6.958301789735853e-06, + "loss": 1.4341, + "step": 148 + }, + { + "epoch": 1.192, + "grad_norm": 1.0069676637649536, + "learning_rate": 6.918413377885193e-06, + "loss": 1.4365, + "step": 149 + }, + { + "epoch": 1.2, + "grad_norm": 0.9149236679077148, + "learning_rate": 6.878381276221777e-06, + "loss": 1.3273, + "step": 150 + }, + { + "epoch": 1.208, + "grad_norm": 0.9450361132621765, + "learning_rate": 6.838208483163601e-06, + "loss": 1.3297, + "step": 151 + }, + { + "epoch": 1.216, + "grad_norm": 1.0741515159606934, + "learning_rate": 6.797898007666493e-06, + "loss": 1.3977, + "step": 152 + }, + { + "epoch": 1.224, + "grad_norm": 0.9067620038986206, + "learning_rate": 6.757452868998737e-06, + "loss": 1.2802, + "step": 153 + }, + { + "epoch": 1.232, + "grad_norm": 0.9164926409721375, + "learning_rate": 6.716876096514944e-06, + "loss": 1.3741, + "step": 154 + }, + { + "epoch": 1.24, + "grad_norm": 0.9673436880111694, + "learning_rate": 6.676170729429132e-06, + "loss": 1.2866, + "step": 155 + }, + { + "epoch": 1.248, + "grad_norm": 0.8857837915420532, + "learning_rate": 6.635339816587109e-06, + "loss": 1.3524, + "step": 156 + }, + { + "epoch": 1.256, + "grad_norm": 1.0112680196762085, + "learning_rate": 6.594386416238095e-06, + "loss": 1.4385, + "step": 157 + }, + { + "epoch": 1.264, + "grad_norm": 0.9922051429748535, + "learning_rate": 6.553313595805666e-06, + "loss": 1.3711, + "step": 158 + }, + { + "epoch": 1.272, + "grad_norm": 0.9454922676086426, + "learning_rate": 6.512124431658006e-06, + "loss": 1.392, + "step": 159 + }, + { + "epoch": 1.28, + "grad_norm": 0.9144309759140015, + "learning_rate": 6.470822008877482e-06, + "loss": 1.3345, + "step": 160 + }, + { + "epoch": 1.288, + "grad_norm": 1.0063748359680176, + "learning_rate": 6.4294094210295725e-06, + "loss": 1.4048, + "step": 161 + }, + { + "epoch": 1.296, + "grad_norm": 1.0005673170089722, + "learning_rate": 6.3878897699311525e-06, + "loss": 1.4097, + "step": 162 + }, + { + "epoch": 1.304, + "grad_norm": 0.9271945357322693, + "learning_rate": 6.346266165418173e-06, + "loss": 1.3149, + "step": 163 + }, + { + "epoch": 1.312, + "grad_norm": 0.997925341129303, + "learning_rate": 6.304541725112734e-06, + "loss": 1.4207, + "step": 164 + }, + { + "epoch": 1.32, + "grad_norm": 1.0391231775283813, + "learning_rate": 6.262719574189564e-06, + "loss": 1.4244, + "step": 165 + }, + { + "epoch": 1.328, + "grad_norm": 1.0015145540237427, + "learning_rate": 6.2208028451419575e-06, + "loss": 1.2237, + "step": 166 + }, + { + "epoch": 1.336, + "grad_norm": 0.9355135560035706, + "learning_rate": 6.178794677547138e-06, + "loss": 1.3877, + "step": 167 + }, + { + "epoch": 1.3439999999999999, + "grad_norm": 0.9757426381111145, + "learning_rate": 6.136698217831106e-06, + "loss": 1.4125, + "step": 168 + }, + { + "epoch": 1.3519999999999999, + "grad_norm": 0.9164122939109802, + "learning_rate": 6.094516619032975e-06, + "loss": 1.3165, + "step": 169 + }, + { + "epoch": 1.3599999999999999, + "grad_norm": 0.902611255645752, + "learning_rate": 6.052253040568804e-06, + "loss": 1.2087, + "step": 170 + }, + { + "epoch": 1.3679999999999999, + "grad_norm": 0.9562743902206421, + "learning_rate": 6.009910647994956e-06, + "loss": 1.298, + "step": 171 + }, + { + "epoch": 1.376, + "grad_norm": 0.9646859169006348, + "learning_rate": 5.967492612770999e-06, + "loss": 1.478, + "step": 172 + }, + { + "epoch": 1.384, + "grad_norm": 0.9848045110702515, + "learning_rate": 5.925002112022158e-06, + "loss": 1.3841, + "step": 173 + }, + { + "epoch": 1.392, + "grad_norm": 0.9551551342010498, + "learning_rate": 5.882442328301356e-06, + "loss": 1.3204, + "step": 174 + }, + { + "epoch": 1.4, + "grad_norm": 0.9004006385803223, + "learning_rate": 5.839816449350824e-06, + "loss": 1.2993, + "step": 175 + }, + { + "epoch": 1.408, + "grad_norm": 0.9321911334991455, + "learning_rate": 5.7971276678633625e-06, + "loss": 1.3931, + "step": 176 + }, + { + "epoch": 1.416, + "grad_norm": 0.9299284219741821, + "learning_rate": 5.754379181243179e-06, + "loss": 1.3798, + "step": 177 + }, + { + "epoch": 1.424, + "grad_norm": 0.9809712171554565, + "learning_rate": 5.711574191366427e-06, + "loss": 1.3581, + "step": 178 + }, + { + "epoch": 1.432, + "grad_norm": 0.9836567640304565, + "learning_rate": 5.668715904341365e-06, + "loss": 1.333, + "step": 179 + }, + { + "epoch": 1.44, + "grad_norm": 0.9797928333282471, + "learning_rate": 5.62580753026823e-06, + "loss": 1.369, + "step": 180 + }, + { + "epoch": 1.448, + "grad_norm": 0.8885632753372192, + "learning_rate": 5.5828522829987965e-06, + "loss": 1.207, + "step": 181 + }, + { + "epoch": 1.456, + "grad_norm": 0.9868252277374268, + "learning_rate": 5.539853379895656e-06, + "loss": 1.3628, + "step": 182 + }, + { + "epoch": 1.464, + "grad_norm": 0.9249109029769897, + "learning_rate": 5.496814041591234e-06, + "loss": 1.3174, + "step": 183 + }, + { + "epoch": 1.472, + "grad_norm": 0.9424538612365723, + "learning_rate": 5.453737491746572e-06, + "loss": 1.2956, + "step": 184 + }, + { + "epoch": 1.48, + "grad_norm": 1.0274248123168945, + "learning_rate": 5.410626956809864e-06, + "loss": 1.4769, + "step": 185 + }, + { + "epoch": 1.488, + "grad_norm": 0.9153403043746948, + "learning_rate": 5.367485665774802e-06, + "loss": 1.2785, + "step": 186 + }, + { + "epoch": 1.496, + "grad_norm": 0.9761044383049011, + "learning_rate": 5.324316849938715e-06, + "loss": 1.3007, + "step": 187 + }, + { + "epoch": 1.504, + "grad_norm": 0.9353325366973877, + "learning_rate": 5.281123742660558e-06, + "loss": 1.3652, + "step": 188 + }, + { + "epoch": 1.512, + "grad_norm": 1.0336346626281738, + "learning_rate": 5.237909579118713e-06, + "loss": 1.4483, + "step": 189 + }, + { + "epoch": 1.52, + "grad_norm": 0.968720555305481, + "learning_rate": 5.194677596068689e-06, + "loss": 1.3331, + "step": 190 + }, + { + "epoch": 1.528, + "grad_norm": 0.9536193609237671, + "learning_rate": 5.1514310316006835e-06, + "loss": 1.3594, + "step": 191 + }, + { + "epoch": 1.536, + "grad_norm": 0.9640070199966431, + "learning_rate": 5.1081731248970435e-06, + "loss": 1.3753, + "step": 192 + }, + { + "epoch": 1.544, + "grad_norm": 0.8998177647590637, + "learning_rate": 5.064907115989655e-06, + "loss": 1.3207, + "step": 193 + }, + { + "epoch": 1.552, + "grad_norm": 1.0492256879806519, + "learning_rate": 5.021636245517261e-06, + "loss": 1.2969, + "step": 194 + }, + { + "epoch": 1.56, + "grad_norm": 0.9381954073905945, + "learning_rate": 4.978363754482741e-06, + "loss": 1.3814, + "step": 195 + }, + { + "epoch": 1.568, + "grad_norm": 0.9293028712272644, + "learning_rate": 4.935092884010347e-06, + "loss": 1.3583, + "step": 196 + }, + { + "epoch": 1.576, + "grad_norm": 1.0378097295761108, + "learning_rate": 4.891826875102958e-06, + "loss": 1.4385, + "step": 197 + }, + { + "epoch": 1.584, + "grad_norm": 0.9952184557914734, + "learning_rate": 4.848568968399317e-06, + "loss": 1.4347, + "step": 198 + }, + { + "epoch": 1.592, + "grad_norm": 0.9569420218467712, + "learning_rate": 4.805322403931312e-06, + "loss": 1.3173, + "step": 199 + }, + { + "epoch": 1.6, + "grad_norm": 1.0088790655136108, + "learning_rate": 4.762090420881289e-06, + "loss": 1.4581, + "step": 200 + }, + { + "epoch": 1.608, + "grad_norm": 0.9280454516410828, + "learning_rate": 4.718876257339444e-06, + "loss": 1.3553, + "step": 201 + }, + { + "epoch": 1.616, + "grad_norm": 0.9970977306365967, + "learning_rate": 4.6756831500612846e-06, + "loss": 1.2876, + "step": 202 + }, + { + "epoch": 1.624, + "grad_norm": 0.9597547650337219, + "learning_rate": 4.632514334225201e-06, + "loss": 1.4021, + "step": 203 + }, + { + "epoch": 1.6320000000000001, + "grad_norm": 1.0041824579238892, + "learning_rate": 4.589373043190137e-06, + "loss": 1.492, + "step": 204 + }, + { + "epoch": 1.6400000000000001, + "grad_norm": 0.9870665669441223, + "learning_rate": 4.546262508253429e-06, + "loss": 1.3503, + "step": 205 + }, + { + "epoch": 1.6480000000000001, + "grad_norm": 0.9604246616363525, + "learning_rate": 4.503185958408767e-06, + "loss": 1.3706, + "step": 206 + }, + { + "epoch": 1.6560000000000001, + "grad_norm": 1.0384790897369385, + "learning_rate": 4.460146620104347e-06, + "loss": 1.2973, + "step": 207 + }, + { + "epoch": 1.6640000000000001, + "grad_norm": 0.9975892901420593, + "learning_rate": 4.417147717001205e-06, + "loss": 1.3999, + "step": 208 + }, + { + "epoch": 1.6720000000000002, + "grad_norm": 0.9257301092147827, + "learning_rate": 4.374192469731771e-06, + "loss": 1.3405, + "step": 209 + }, + { + "epoch": 1.6800000000000002, + "grad_norm": 0.914090633392334, + "learning_rate": 4.331284095658637e-06, + "loss": 1.2838, + "step": 210 + }, + { + "epoch": 1.688, + "grad_norm": 0.9512580633163452, + "learning_rate": 4.2884258086335755e-06, + "loss": 1.3207, + "step": 211 + }, + { + "epoch": 1.696, + "grad_norm": 0.92391437292099, + "learning_rate": 4.245620818756822e-06, + "loss": 1.3182, + "step": 212 + }, + { + "epoch": 1.704, + "grad_norm": 0.947001576423645, + "learning_rate": 4.202872332136639e-06, + "loss": 1.299, + "step": 213 + }, + { + "epoch": 1.712, + "grad_norm": 0.9795234799385071, + "learning_rate": 4.160183550649176e-06, + "loss": 1.3005, + "step": 214 + }, + { + "epoch": 1.72, + "grad_norm": 0.9202683568000793, + "learning_rate": 4.117557671698648e-06, + "loss": 1.2494, + "step": 215 + }, + { + "epoch": 1.728, + "grad_norm": 0.927078127861023, + "learning_rate": 4.074997887977843e-06, + "loss": 1.4299, + "step": 216 + }, + { + "epoch": 1.736, + "grad_norm": 1.0304216146469116, + "learning_rate": 4.032507387229002e-06, + "loss": 1.379, + "step": 217 + }, + { + "epoch": 1.744, + "grad_norm": 0.9599056839942932, + "learning_rate": 3.9900893520050446e-06, + "loss": 1.3061, + "step": 218 + }, + { + "epoch": 1.752, + "grad_norm": 1.0049461126327515, + "learning_rate": 3.9477469594311975e-06, + "loss": 1.3921, + "step": 219 + }, + { + "epoch": 1.76, + "grad_norm": 0.9615343809127808, + "learning_rate": 3.905483380967027e-06, + "loss": 1.3521, + "step": 220 + }, + { + "epoch": 1.768, + "grad_norm": 0.900286853313446, + "learning_rate": 3.863301782168896e-06, + "loss": 1.3919, + "step": 221 + }, + { + "epoch": 1.776, + "grad_norm": 0.9626889228820801, + "learning_rate": 3.821205322452863e-06, + "loss": 1.4446, + "step": 222 + }, + { + "epoch": 1.784, + "grad_norm": 0.9698411822319031, + "learning_rate": 3.779197154858044e-06, + "loss": 1.4121, + "step": 223 + }, + { + "epoch": 1.792, + "grad_norm": 0.9630154967308044, + "learning_rate": 3.7372804258104367e-06, + "loss": 1.3486, + "step": 224 + }, + { + "epoch": 1.8, + "grad_norm": 0.9816241264343262, + "learning_rate": 3.695458274887268e-06, + "loss": 1.3536, + "step": 225 + }, + { + "epoch": 1.808, + "grad_norm": 0.9554859399795532, + "learning_rate": 3.6537338345818273e-06, + "loss": 1.3906, + "step": 226 + }, + { + "epoch": 1.8159999999999998, + "grad_norm": 0.9753232598304749, + "learning_rate": 3.6121102300688504e-06, + "loss": 1.4416, + "step": 227 + }, + { + "epoch": 1.8239999999999998, + "grad_norm": 1.023533821105957, + "learning_rate": 3.5705905789704296e-06, + "loss": 1.4409, + "step": 228 + }, + { + "epoch": 1.8319999999999999, + "grad_norm": 0.9600017070770264, + "learning_rate": 3.529177991122519e-06, + "loss": 1.4683, + "step": 229 + }, + { + "epoch": 1.8399999999999999, + "grad_norm": 0.9704511761665344, + "learning_rate": 3.487875568341995e-06, + "loss": 1.3358, + "step": 230 + }, + { + "epoch": 1.8479999999999999, + "grad_norm": 0.9900558590888977, + "learning_rate": 3.446686404194337e-06, + "loss": 1.441, + "step": 231 + }, + { + "epoch": 1.8559999999999999, + "grad_norm": 1.0063139200210571, + "learning_rate": 3.4056135837619077e-06, + "loss": 1.3806, + "step": 232 + }, + { + "epoch": 1.8639999999999999, + "grad_norm": 0.9783025979995728, + "learning_rate": 3.3646601834128924e-06, + "loss": 1.2891, + "step": 233 + }, + { + "epoch": 1.8719999999999999, + "grad_norm": 0.9990521669387817, + "learning_rate": 3.3238292705708675e-06, + "loss": 1.3966, + "step": 234 + }, + { + "epoch": 1.88, + "grad_norm": 0.9336013197898865, + "learning_rate": 3.2831239034850593e-06, + "loss": 1.3219, + "step": 235 + }, + { + "epoch": 1.888, + "grad_norm": 1.0710481405258179, + "learning_rate": 3.2425471310012645e-06, + "loss": 1.5404, + "step": 236 + }, + { + "epoch": 1.896, + "grad_norm": 0.9238635897636414, + "learning_rate": 3.2021019923335093e-06, + "loss": 1.2135, + "step": 237 + }, + { + "epoch": 1.904, + "grad_norm": 0.9419047236442566, + "learning_rate": 3.1617915168363994e-06, + "loss": 1.2094, + "step": 238 + }, + { + "epoch": 1.912, + "grad_norm": 0.9390449523925781, + "learning_rate": 3.121618723778225e-06, + "loss": 1.3233, + "step": 239 + }, + { + "epoch": 1.92, + "grad_norm": 0.9554815292358398, + "learning_rate": 3.081586622114809e-06, + "loss": 1.3909, + "step": 240 + }, + { + "epoch": 1.928, + "grad_norm": 0.9486646056175232, + "learning_rate": 3.041698210264149e-06, + "loss": 1.3041, + "step": 241 + }, + { + "epoch": 1.936, + "grad_norm": 0.9331883788108826, + "learning_rate": 3.001956475881822e-06, + "loss": 1.256, + "step": 242 + }, + { + "epoch": 1.944, + "grad_norm": 0.9461354613304138, + "learning_rate": 2.962364395637216e-06, + "loss": 1.4119, + "step": 243 + }, + { + "epoch": 1.952, + "grad_norm": 0.9538270831108093, + "learning_rate": 2.9229249349905686e-06, + "loss": 1.238, + "step": 244 + }, + { + "epoch": 1.96, + "grad_norm": 0.9340187907218933, + "learning_rate": 2.8836410479708625e-06, + "loss": 1.3517, + "step": 245 + }, + { + "epoch": 1.968, + "grad_norm": 1.0196490287780762, + "learning_rate": 2.84451567695456e-06, + "loss": 1.2968, + "step": 246 + }, + { + "epoch": 1.976, + "grad_norm": 1.013819694519043, + "learning_rate": 2.805551752445222e-06, + "loss": 1.3458, + "step": 247 + }, + { + "epoch": 1.984, + "grad_norm": 0.9020823240280151, + "learning_rate": 2.766752192854012e-06, + "loss": 1.424, + "step": 248 + }, + { + "epoch": 1.992, + "grad_norm": 0.8842499852180481, + "learning_rate": 2.728119904281105e-06, + "loss": 1.2664, + "step": 249 + }, + { + "epoch": 2.0, + "grad_norm": 0.9340562224388123, + "learning_rate": 2.689657780298019e-06, + "loss": 1.3434, + "step": 250 + }, + { + "epoch": 2.008, + "grad_norm": 1.005499005317688, + "learning_rate": 2.651368701730889e-06, + "loss": 1.2695, + "step": 251 + }, + { + "epoch": 2.016, + "grad_norm": 0.9357620477676392, + "learning_rate": 2.6132555364446856e-06, + "loss": 1.1521, + "step": 252 + }, + { + "epoch": 2.024, + "grad_norm": 0.9387351870536804, + "learning_rate": 2.5753211391284172e-06, + "loss": 1.2569, + "step": 253 + }, + { + "epoch": 2.032, + "grad_norm": 0.9448952674865723, + "learning_rate": 2.537568351081311e-06, + "loss": 1.1739, + "step": 254 + }, + { + "epoch": 2.04, + "grad_norm": 0.895693302154541, + "learning_rate": 2.5000000000000015e-06, + "loss": 1.1113, + "step": 255 + }, + { + "epoch": 2.048, + "grad_norm": 0.9334677457809448, + "learning_rate": 2.4626188997667224e-06, + "loss": 1.2154, + "step": 256 + }, + { + "epoch": 2.056, + "grad_norm": 0.968984067440033, + "learning_rate": 2.425427850238565e-06, + "loss": 1.1986, + "step": 257 + }, + { + "epoch": 2.064, + "grad_norm": 0.8969867825508118, + "learning_rate": 2.388429637037753e-06, + "loss": 1.1513, + "step": 258 + }, + { + "epoch": 2.072, + "grad_norm": 0.9212546348571777, + "learning_rate": 2.3516270313430085e-06, + "loss": 1.1515, + "step": 259 + }, + { + "epoch": 2.08, + "grad_norm": 0.9310314059257507, + "learning_rate": 2.3150227896819782e-06, + "loss": 1.1398, + "step": 260 + }, + { + "epoch": 2.088, + "grad_norm": 0.8860301971435547, + "learning_rate": 2.278619653724781e-06, + "loss": 1.2116, + "step": 261 + }, + { + "epoch": 2.096, + "grad_norm": 0.9003278613090515, + "learning_rate": 2.2424203500786473e-06, + "loss": 1.1741, + "step": 262 + }, + { + "epoch": 2.104, + "grad_norm": 0.9402487874031067, + "learning_rate": 2.206427590083703e-06, + "loss": 1.2057, + "step": 263 + }, + { + "epoch": 2.112, + "grad_norm": 0.8900340795516968, + "learning_rate": 2.170644069609876e-06, + "loss": 1.1549, + "step": 264 + }, + { + "epoch": 2.12, + "grad_norm": 0.9224807620048523, + "learning_rate": 2.1350724688549906e-06, + "loss": 1.2437, + "step": 265 + }, + { + "epoch": 2.128, + "grad_norm": 0.9042741060256958, + "learning_rate": 2.09971545214401e-06, + "loss": 1.1539, + "step": 266 + }, + { + "epoch": 2.136, + "grad_norm": 0.9493343830108643, + "learning_rate": 2.0645756677294788e-06, + "loss": 1.186, + "step": 267 + }, + { + "epoch": 2.144, + "grad_norm": 0.97528475522995, + "learning_rate": 2.029655747593169e-06, + "loss": 1.2699, + "step": 268 + }, + { + "epoch": 2.152, + "grad_norm": 0.914726972579956, + "learning_rate": 1.9949583072489455e-06, + "loss": 1.1699, + "step": 269 + }, + { + "epoch": 2.16, + "grad_norm": 0.9276081323623657, + "learning_rate": 1.9604859455468587e-06, + "loss": 1.2022, + "step": 270 + }, + { + "epoch": 2.168, + "grad_norm": 0.9139848947525024, + "learning_rate": 1.926241244478496e-06, + "loss": 1.1245, + "step": 271 + }, + { + "epoch": 2.176, + "grad_norm": 0.9088538885116577, + "learning_rate": 1.8922267689835806e-06, + "loss": 1.1375, + "step": 272 + }, + { + "epoch": 2.184, + "grad_norm": 0.9474396705627441, + "learning_rate": 1.8584450667578656e-06, + "loss": 1.178, + "step": 273 + }, + { + "epoch": 2.192, + "grad_norm": 0.9475589394569397, + "learning_rate": 1.8248986680623077e-06, + "loss": 1.1776, + "step": 274 + }, + { + "epoch": 2.2, + "grad_norm": 0.9256978034973145, + "learning_rate": 1.7915900855335506e-06, + "loss": 1.0931, + "step": 275 + }, + { + "epoch": 2.208, + "grad_norm": 0.9370779991149902, + "learning_rate": 1.7585218139957205e-06, + "loss": 1.1597, + "step": 276 + }, + { + "epoch": 2.216, + "grad_norm": 1.0122766494750977, + "learning_rate": 1.7256963302735752e-06, + "loss": 1.2446, + "step": 277 + }, + { + "epoch": 2.224, + "grad_norm": 0.9397243857383728, + "learning_rate": 1.6931160930069789e-06, + "loss": 1.202, + "step": 278 + }, + { + "epoch": 2.232, + "grad_norm": 0.9453902840614319, + "learning_rate": 1.6607835424667578e-06, + "loss": 1.1506, + "step": 279 + }, + { + "epoch": 2.24, + "grad_norm": 0.9595220685005188, + "learning_rate": 1.6287011003719105e-06, + "loss": 1.093, + "step": 280 + }, + { + "epoch": 2.248, + "grad_norm": 0.9128125905990601, + "learning_rate": 1.596871169708235e-06, + "loss": 1.2059, + "step": 281 + }, + { + "epoch": 2.2560000000000002, + "grad_norm": 0.9542051553726196, + "learning_rate": 1.5652961345483353e-06, + "loss": 1.1799, + "step": 282 + }, + { + "epoch": 2.2640000000000002, + "grad_norm": 0.9437090754508972, + "learning_rate": 1.5339783598730568e-06, + "loss": 1.1929, + "step": 283 + }, + { + "epoch": 2.2720000000000002, + "grad_norm": 0.9622453451156616, + "learning_rate": 1.5029201913943425e-06, + "loss": 1.2047, + "step": 284 + }, + { + "epoch": 2.2800000000000002, + "grad_norm": 0.9787655472755432, + "learning_rate": 1.4721239553795485e-06, + "loss": 1.2801, + "step": 285 + }, + { + "epoch": 2.288, + "grad_norm": 0.9507718682289124, + "learning_rate": 1.4415919584771999e-06, + "loss": 1.1508, + "step": 286 + }, + { + "epoch": 2.296, + "grad_norm": 0.9262567162513733, + "learning_rate": 1.4113264875442201e-06, + "loss": 1.171, + "step": 287 + }, + { + "epoch": 2.304, + "grad_norm": 0.9207803606987, + "learning_rate": 1.3813298094746491e-06, + "loss": 1.0647, + "step": 288 + }, + { + "epoch": 2.312, + "grad_norm": 0.9652720093727112, + "learning_rate": 1.35160417102985e-06, + "loss": 1.21, + "step": 289 + }, + { + "epoch": 2.32, + "grad_norm": 0.9531212449073792, + "learning_rate": 1.3221517986702249e-06, + "loss": 1.3148, + "step": 290 + }, + { + "epoch": 2.328, + "grad_norm": 0.9690611362457275, + "learning_rate": 1.292974898388456e-06, + "loss": 1.133, + "step": 291 + }, + { + "epoch": 2.336, + "grad_norm": 0.933113157749176, + "learning_rate": 1.2640756555442684e-06, + "loss": 1.1668, + "step": 292 + }, + { + "epoch": 2.344, + "grad_norm": 0.903457522392273, + "learning_rate": 1.235456234700756e-06, + "loss": 1.1914, + "step": 293 + }, + { + "epoch": 2.352, + "grad_norm": 0.9584729075431824, + "learning_rate": 1.207118779462248e-06, + "loss": 1.1777, + "step": 294 + }, + { + "epoch": 2.36, + "grad_norm": 1.0123586654663086, + "learning_rate": 1.1790654123137552e-06, + "loss": 1.1946, + "step": 295 + }, + { + "epoch": 2.368, + "grad_norm": 1.0037939548492432, + "learning_rate": 1.1512982344619904e-06, + "loss": 1.2927, + "step": 296 + }, + { + "epoch": 2.376, + "grad_norm": 0.9953064322471619, + "learning_rate": 1.1238193256779955e-06, + "loss": 1.3264, + "step": 297 + }, + { + "epoch": 2.384, + "grad_norm": 1.0182257890701294, + "learning_rate": 1.0966307441413598e-06, + "loss": 1.1768, + "step": 298 + }, + { + "epoch": 2.392, + "grad_norm": 0.9684757590293884, + "learning_rate": 1.0697345262860638e-06, + "loss": 1.1419, + "step": 299 + }, + { + "epoch": 2.4, + "grad_norm": 0.9765399098396301, + "learning_rate": 1.0431326866479457e-06, + "loss": 1.1746, + "step": 300 + }, + { + "epoch": 2.408, + "grad_norm": 0.9365405440330505, + "learning_rate": 1.01682721771382e-06, + "loss": 1.2397, + "step": 301 + }, + { + "epoch": 2.416, + "grad_norm": 0.9802318811416626, + "learning_rate": 9.908200897722332e-07, + "loss": 1.1136, + "step": 302 + }, + { + "epoch": 2.424, + "grad_norm": 1.0139752626419067, + "learning_rate": 9.6511325076589e-07, + "loss": 1.2358, + "step": 303 + }, + { + "epoch": 2.432, + "grad_norm": 0.9535879492759705, + "learning_rate": 9.397086261457511e-07, + "loss": 1.1577, + "step": 304 + }, + { + "epoch": 2.44, + "grad_norm": 0.9084758162498474, + "learning_rate": 9.146081187268185e-07, + "loss": 1.1313, + "step": 305 + }, + { + "epoch": 2.448, + "grad_norm": 1.0524094104766846, + "learning_rate": 8.898136085456127e-07, + "loss": 1.2469, + "step": 306 + }, + { + "epoch": 2.456, + "grad_norm": 0.9283274412155151, + "learning_rate": 8.65326952719357e-07, + "loss": 1.1897, + "step": 307 + }, + { + "epoch": 2.464, + "grad_norm": 0.9858782291412354, + "learning_rate": 8.411499853068783e-07, + "loss": 1.2205, + "step": 308 + }, + { + "epoch": 2.472, + "grad_norm": 0.961403489112854, + "learning_rate": 8.172845171712379e-07, + "loss": 1.1335, + "step": 309 + }, + { + "epoch": 2.48, + "grad_norm": 0.9039857387542725, + "learning_rate": 7.937323358440935e-07, + "loss": 1.1261, + "step": 310 + }, + { + "epoch": 2.488, + "grad_norm": 0.8671655654907227, + "learning_rate": 7.70495205391818e-07, + "loss": 1.1149, + "step": 311 + }, + { + "epoch": 2.496, + "grad_norm": 0.9556377530097961, + "learning_rate": 7.475748662833615e-07, + "loss": 1.2633, + "step": 312 + }, + { + "epoch": 2.504, + "grad_norm": 0.9426801204681396, + "learning_rate": 7.249730352599e-07, + "loss": 1.2781, + "step": 313 + }, + { + "epoch": 2.512, + "grad_norm": 0.9554891586303711, + "learning_rate": 7.026914052062433e-07, + "loss": 1.1741, + "step": 314 + }, + { + "epoch": 2.52, + "grad_norm": 0.948947012424469, + "learning_rate": 6.807316450240425e-07, + "loss": 1.183, + "step": 315 + }, + { + "epoch": 2.528, + "grad_norm": 0.9793767929077148, + "learning_rate": 6.590953995067812e-07, + "loss": 1.2157, + "step": 316 + }, + { + "epoch": 2.536, + "grad_norm": 0.9236152172088623, + "learning_rate": 6.377842892165892e-07, + "loss": 1.1956, + "step": 317 + }, + { + "epoch": 2.544, + "grad_norm": 0.89536452293396, + "learning_rate": 6.167999103628569e-07, + "loss": 1.1124, + "step": 318 + }, + { + "epoch": 2.552, + "grad_norm": 0.8991439938545227, + "learning_rate": 5.961438346826792e-07, + "loss": 1.2367, + "step": 319 + }, + { + "epoch": 2.56, + "grad_norm": 0.9654480814933777, + "learning_rate": 5.758176093231294e-07, + "loss": 1.1769, + "step": 320 + }, + { + "epoch": 2.568, + "grad_norm": 0.9762253165245056, + "learning_rate": 5.558227567253832e-07, + "loss": 1.1362, + "step": 321 + }, + { + "epoch": 2.576, + "grad_norm": 0.9315025210380554, + "learning_rate": 5.361607745106817e-07, + "loss": 1.0455, + "step": 322 + }, + { + "epoch": 2.584, + "grad_norm": 1.0394562482833862, + "learning_rate": 5.168331353681643e-07, + "loss": 1.2309, + "step": 323 + }, + { + "epoch": 2.592, + "grad_norm": 0.9258297681808472, + "learning_rate": 4.97841286944557e-07, + "loss": 1.1187, + "step": 324 + }, + { + "epoch": 2.6, + "grad_norm": 0.9597828388214111, + "learning_rate": 4.791866517357491e-07, + "loss": 1.2398, + "step": 325 + }, + { + "epoch": 2.608, + "grad_norm": 0.9284036159515381, + "learning_rate": 4.608706269802471e-07, + "loss": 1.1547, + "step": 326 + }, + { + "epoch": 2.616, + "grad_norm": 1.011851191520691, + "learning_rate": 4.428945845545168e-07, + "loss": 1.2571, + "step": 327 + }, + { + "epoch": 2.624, + "grad_norm": 0.9457777142524719, + "learning_rate": 4.2525987087023433e-07, + "loss": 1.2648, + "step": 328 + }, + { + "epoch": 2.632, + "grad_norm": 0.9738786220550537, + "learning_rate": 4.0796780677343606e-07, + "loss": 1.211, + "step": 329 + }, + { + "epoch": 2.64, + "grad_norm": 0.9281070232391357, + "learning_rate": 3.910196874455896e-07, + "loss": 1.1852, + "step": 330 + }, + { + "epoch": 2.648, + "grad_norm": 0.9425092339515686, + "learning_rate": 3.744167823065814e-07, + "loss": 1.2286, + "step": 331 + }, + { + "epoch": 2.656, + "grad_norm": 0.9291054606437683, + "learning_rate": 3.581603349196372e-07, + "loss": 1.1621, + "step": 332 + }, + { + "epoch": 2.664, + "grad_norm": 0.92279052734375, + "learning_rate": 3.4225156289818096e-07, + "loss": 1.2425, + "step": 333 + }, + { + "epoch": 2.672, + "grad_norm": 0.9327970743179321, + "learning_rate": 3.26691657814634e-07, + "loss": 1.1193, + "step": 334 + }, + { + "epoch": 2.68, + "grad_norm": 0.9604306817054749, + "learning_rate": 3.1148178511116624e-07, + "loss": 1.1053, + "step": 335 + }, + { + "epoch": 2.6879999999999997, + "grad_norm": 1.009303331375122, + "learning_rate": 2.966230840124007e-07, + "loss": 1.1874, + "step": 336 + }, + { + "epoch": 2.6959999999999997, + "grad_norm": 0.9507207274436951, + "learning_rate": 2.821166674400905e-07, + "loss": 1.1105, + "step": 337 + }, + { + "epoch": 2.7039999999999997, + "grad_norm": 0.9599238634109497, + "learning_rate": 2.6796362192975766e-07, + "loss": 1.1718, + "step": 338 + }, + { + "epoch": 2.7119999999999997, + "grad_norm": 0.8968420624732971, + "learning_rate": 2.5416500754931294e-07, + "loss": 1.0511, + "step": 339 + }, + { + "epoch": 2.7199999999999998, + "grad_norm": 0.9986500144004822, + "learning_rate": 2.407218578196524e-07, + "loss": 1.2698, + "step": 340 + }, + { + "epoch": 2.7279999999999998, + "grad_norm": 0.9403897523880005, + "learning_rate": 2.2763517963725169e-07, + "loss": 1.2182, + "step": 341 + }, + { + "epoch": 2.7359999999999998, + "grad_norm": 0.9974818825721741, + "learning_rate": 2.1490595319874574e-07, + "loss": 1.2383, + "step": 342 + }, + { + "epoch": 2.7439999999999998, + "grad_norm": 1.008009910583496, + "learning_rate": 2.0253513192751374e-07, + "loss": 1.1606, + "step": 343 + }, + { + "epoch": 2.752, + "grad_norm": 1.019026279449463, + "learning_rate": 1.905236424022633e-07, + "loss": 1.1782, + "step": 344 + }, + { + "epoch": 2.76, + "grad_norm": 0.9780669808387756, + "learning_rate": 1.7887238428763553e-07, + "loss": 1.1847, + "step": 345 + }, + { + "epoch": 2.768, + "grad_norm": 1.0105910301208496, + "learning_rate": 1.6758223026681507e-07, + "loss": 1.2057, + "step": 346 + }, + { + "epoch": 2.776, + "grad_norm": 0.934592068195343, + "learning_rate": 1.5665402597616842e-07, + "loss": 1.0974, + "step": 347 + }, + { + "epoch": 2.784, + "grad_norm": 0.9480429887771606, + "learning_rate": 1.4608858994190344e-07, + "loss": 1.169, + "step": 348 + }, + { + "epoch": 2.792, + "grad_norm": 0.8923419713973999, + "learning_rate": 1.358867135187636e-07, + "loss": 1.1029, + "step": 349 + }, + { + "epoch": 2.8, + "grad_norm": 1.0625927448272705, + "learning_rate": 1.2604916083075236e-07, + "loss": 1.1654, + "step": 350 + }, + { + "epoch": 2.808, + "grad_norm": 0.9121294617652893, + "learning_rate": 1.1657666871390471e-07, + "loss": 1.0817, + "step": 351 + }, + { + "epoch": 2.816, + "grad_norm": 1.002794861793518, + "learning_rate": 1.0746994666109234e-07, + "loss": 1.3023, + "step": 352 + }, + { + "epoch": 2.824, + "grad_norm": 0.9711022973060608, + "learning_rate": 9.872967676888611e-08, + "loss": 1.1863, + "step": 353 + }, + { + "epoch": 2.832, + "grad_norm": 0.9451983571052551, + "learning_rate": 9.035651368646647e-08, + "loss": 1.1599, + "step": 354 + }, + { + "epoch": 2.84, + "grad_norm": 0.9576354026794434, + "learning_rate": 8.235108456658814e-08, + "loss": 1.2885, + "step": 355 + }, + { + "epoch": 2.848, + "grad_norm": 0.9445213675498962, + "learning_rate": 7.471398901860772e-08, + "loss": 1.2252, + "step": 356 + }, + { + "epoch": 2.856, + "grad_norm": 1.0621612071990967, + "learning_rate": 6.744579906357185e-08, + "loss": 1.2234, + "step": 357 + }, + { + "epoch": 2.864, + "grad_norm": 0.920613169670105, + "learning_rate": 6.054705909137426e-08, + "loss": 1.1826, + "step": 358 + }, + { + "epoch": 2.872, + "grad_norm": 1.0022947788238525, + "learning_rate": 5.401828581997948e-08, + "loss": 1.1835, + "step": 359 + }, + { + "epoch": 2.88, + "grad_norm": 0.9064760208129883, + "learning_rate": 4.7859968256719344e-08, + "loss": 1.0867, + "step": 360 + }, + { + "epoch": 2.888, + "grad_norm": 0.9370819926261902, + "learning_rate": 4.207256766166845e-08, + "loss": 1.1871, + "step": 361 + }, + { + "epoch": 2.896, + "grad_norm": 1.0383437871932983, + "learning_rate": 3.665651751309451e-08, + "loss": 1.2517, + "step": 362 + }, + { + "epoch": 2.904, + "grad_norm": 0.962099552154541, + "learning_rate": 3.16122234749916e-08, + "loss": 1.2392, + "step": 363 + }, + { + "epoch": 2.912, + "grad_norm": 0.9519680142402649, + "learning_rate": 2.6940063366693303e-08, + "loss": 1.0573, + "step": 364 + }, + { + "epoch": 2.92, + "grad_norm": 0.9429070353507996, + "learning_rate": 2.264038713457706e-08, + "loss": 1.1827, + "step": 365 + }, + { + "epoch": 2.928, + "grad_norm": 0.9092634916305542, + "learning_rate": 1.8713516825851207e-08, + "loss": 1.1677, + "step": 366 + }, + { + "epoch": 2.936, + "grad_norm": 0.9508703351020813, + "learning_rate": 1.51597465644332e-08, + "loss": 1.15, + "step": 367 + }, + { + "epoch": 2.944, + "grad_norm": 0.9615942239761353, + "learning_rate": 1.1979342528922189e-08, + "loss": 1.067, + "step": 368 + }, + { + "epoch": 2.952, + "grad_norm": 0.9065539240837097, + "learning_rate": 9.1725429326589e-09, + "loss": 1.1662, + "step": 369 + }, + { + "epoch": 2.96, + "grad_norm": 0.9946824312210083, + "learning_rate": 6.739558005884883e-09, + "loss": 1.2158, + "step": 370 + }, + { + "epoch": 2.968, + "grad_norm": 0.9945969581604004, + "learning_rate": 4.6805699799967744e-09, + "loss": 1.2243, + "step": 371 + }, + { + "epoch": 2.976, + "grad_norm": 1.0351194143295288, + "learning_rate": 2.995733073895557e-09, + "loss": 1.2542, + "step": 372 + }, + { + "epoch": 2.984, + "grad_norm": 0.9449812769889832, + "learning_rate": 1.6851734824380184e-09, + "loss": 1.1568, + "step": 373 + }, + { + "epoch": 2.992, + "grad_norm": 0.9165475368499756, + "learning_rate": 7.48989366980979e-10, + "loss": 1.1133, + "step": 374 + }, + { + "epoch": 3.0, + "grad_norm": 1.0071150064468384, + "learning_rate": 1.872508480332824e-10, + "loss": 1.1486, + "step": 375 + }, + { + "epoch": 3.0, + "step": 375, + "total_flos": 62777166004224.0, + "train_loss": 1.4248257904052735, + "train_runtime": 9087.8291, + "train_samples_per_second": 1.32, + "train_steps_per_second": 0.041 + } + ], + "logging_steps": 1, + "max_steps": 375, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 62777166004224.0, + "train_batch_size": 8, + "trial_name": null, + "trial_params": null +} diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..60a3b0b --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9dba639380f4aa9ea0f3bdbd42cabf233ebb9248a707953be640961e956b1fa6 +size 8401 diff --git a/training_loss.png b/training_loss.png new file mode 100644 index 0000000000000000000000000000000000000000..8c5cfe9d40651f1e37e394d393558e129f3025e5 GIT binary patch literal 52614 zcmd?RgRch0%apK$i|`ffL@XRW#B9CM6&-1j}7hgY;NQjxQgV;DxIu698O!wB#g zh8ra#fuEfFKJ*LzCGD!B?|RMgj;n{+Jxff}%+<-x(bdk{oZH>qV!<&cxwO&1KKF++cFnF<-!7}mO^enIiNXVUDj zhbO(;9_hk*tDSaXBIgkTb+RgtH$h^Dug-?^_pycV{kT?Ot|BMLRyy&o_L{66K80IT znwKLzK9*$4zN@TlXRojI_8miUxqe@hjwcrjWzKF7xAASSE!#(OlM#^d1k)<1h1He1 z6aM$tmNZNa{jIa^3U&;BM>b`80z0AvKXMhJ#}1*(rJ2d`=r=qZl*H%JZ(^xK3Ahh# zM5>I7MZZZ8diDR0+Zdd~etJzNt7&N1J!}41YR|?TT32d6_##J+j$f;>@gd!t`L52+ zS`o^))3=0&OYeT?6`}099m8_>2pygCYWEF^Y1UhQs|?=j|ENj~qP~6m=AAsqK2N8u zu-w>qVF>O_RsHrSZ6Q6$o{0_mX*1hzB|vSJ$I9{!A6+ zSKSToNPqhyVXgQbxv8b)aYiA7^o@M`2m8D80j4(@rKF@ZyF|FOQe+>hL@=I|*MI0} zjxDW~_^kg^H4f;@H}l*W3&UX<+NqzCJ$^p?_3O5v@kjdojb?=x<0m~=e?8Goa~!E| z+hR_0o9QWeN0S`ICNZAk^G|VqZ@13b=)7Moosx~;)>K9gR`r(<<*6ts5xjr@{-s{ljGx1`-$b{3{c=f<=)#;*k|^7jy;jdL zETi@q@$;zau>G9)oheGSE4`P3o{*Hfu{My9q0I8mo$>Lei1PKHK5VNWceiHpzD>E7 zkB6VaFfT7J?8Z)DXXcGMXDYpp=8F> zDC}JE&XpK;rNc}+)75nnn1%X}OH@@^U^ZL-bav(d>tU>hSsbB9UAQKXcyi zO=YB}-Kz2bW>fMYBBEhubNQ-{PMYMWu6Z{zGoF9t6V%L6s#6|Qf4{$8<%~bJXT1Hd zVt(NhnWQZ2|2#N+bOH9yhHTiRm+wLy>EGTwE>~#| zb93{BT0)wa<>mU$L)r?v!OzcH@d^u58{{y4`SQhcuB3O=Ns@IZX=it*NMCTHW`A4Z zf{F^yv13HNMlMvsCYAd0z0HG@uQCdpJ$`!e-wz6Mp6Wc_nj*(mS6BBSJiPvzw%qTv zq^6(II6{*18C^UA0^~5g$En#RUrOf6&p(6}G>6?G!c6J;@55wlLc#+`z^2=4bDbj` zi!QmDnPl2>tMn)YM@LOzo>~(`2`|QQ+CQG0I>j$&SV~FRFuE|-;E=bT=vaLydcp~I zopgY>n_q5(``kbXgribM*DJ#^hmDSay$N>?$jN@&?y@@z4G*HDRegOcUH9{9_QIVf zKJlD5LB_+wlOW~7rhJHp=?g$jfZ5n{=SBabiu@gQ`~+aI5Lv5iEABFHjlJ4D=ahV z=q!1ntk)U%C*QP=ps}fG4DMYYCuBHn*Y#F2(P_}W%xvk`7tigvGN=Yx$@Tw+D;E1K zV$5KI_47?}@>_q8%0im?3!4yA+qb`TpL=w`Hm@nyxME>6h$c-tRbIc!``n+l#0*J? z*}ei(W)d0q*;tc`WEqe9mN#byN-j$aD=2WGLUS}mmUnm!f^@Wr=~g2|R;15-71QSC z=ElZEjHv&PC%e3_{#BJz!or`RK0KVstKpOw@jdImF-9u8+4EI72iX^PiPo`lWU(4j-rZvTxOJUdzyW7G2bD*H`Iv_NVW% zCRR(z<%{3nnN&c7mfxN|3wg0Zmou^RquY##+w}E!Gpl_C7760^tZ8X!s1o@?xpH+Q@mK3lgB(#Hig}lCxi1k zewC{|hEV)b__y9U3uuL7$bWmTufikGwH4M}#NrbrC7U?q>6)E0`f*K#mMuNBSYA>+Xt;L-q+Z$oa%{%Qx^L9ltqjt@7EzmK}#1wmVvms+~P=QV!l#zuH&o-^UqYLH&H}-Me@Cg|`n;bIE6KcnQOY zVV8T3Kjf!nXO9#zEFFClZ=z&veR6NDtmb6yRENvb`Z5jnuWH@IcXzcn;j9(4Y7A!- zTzDd!s;z0v$#iRF3Jqof5}r9!4^LQ(*rcS$FivkZ>3@Jw>Xv@Dh{B5wL2%^{&h>q8 z;osYspqV;b0I8$CUI}G`vY+0k_LkynxcT@<5O{kXBOeaALUw;=8ROp7tbl3_GaQuY z@bQqky87p~HV9bXz(aI=qmV4!sHxt~cx`<}ze-RDkk`xB59Cn}J&{`hVX2WMc^E=J zce!M3(q$L&cKPBbHs=nxbyEn?!K|vbHA;SoB9Cs$_Aiw!Q2T!xHsNcHtqm~RuV`R(}{kBaEK^}&bWe{|{d*REY7#_HkG>4T`e z;@Y`_v;nyt#>nO?m!n-1haH&U{*&%){<~X;V8<7&>;ha1f!SBbxRa#aF2PIam)JbR z&P#f)WO9?;kBy7tb7JSOgsBa0mUEv?c&YP_zDzqoL=oeLy}kd)0Sb>2WV2v4hw@kL zljGAHixULc7=*QZ#c3WMbQz?aPWwAWHy=brF@#dGq)D!ojrhCx%sy1vTG`MWyN)>6bdXkd-I3gR%0%YZ!Z<=Tc4jD9^jV< z*z?Vs=jffBoLcW(-JPOYoGkF)^-gVWOOooEJGa#P!DW&t&N5^sw?fNFl0AIeGlhvr zk#=cmi6~0-s79i=rgQ7#(M#EBIHA*xN>pOg(;l1pNSQtYE;-O@2$0b6aQoKe%LI=k*KBL&lR< zXL>7!O>W+tS}TV{hX;@qJUu<_t-v3kupiAX#f#B$`fr#uIlKI6UEEr4WYZ3~K~%SF z)mZ7Z46g%4=e?x+=UATle6xo1`7*nH_yD7z{^*+Lxa~;ndgEkjz(4mY2mr60!K=o` zb89k*FJ1`TEiq8pW?Po6`VF%bJm^rN325kA@fd{1>R#2_>IdOHs-XglFjqqpla!a; zHX;0}zB(T@cM_on>8pgEICY9nNm)4rz>&7|Fu>co+h^3vwiA7J>^ml66oj!Wl^r*+ zjlJ!8RFP34B_<~BjF*hInd!;FY?`m`0+JSz&NRsDRfZfrSZePujJtRI`0>6XtC;cq z&pkPYVSRo2L!J{+o%SR_xb=~MfaDl9R@U(FaPoJ9IppWC1EeKvngS*ns(PmVm^OXn_7dcfpY2Y_Btt+ZBRlk+c5zhfnFu4wA*wrr<}Li zJnpKKlL$&%Y9qE{tdZ=l^XgO=X;+4J-m>?rSFa?U$B7_|^xD}w zWTvMdt4UE-&be7c0^@;HeJ_#usJn~f&q@}(ECz_p^6>(J65rN+IC28Ti3k)0HT0uXOV!ON!sx%`#Dw z>bQz6SVOZj&ru0iF$|+(3x#a1Vz}yEwK88=c!r*y-W28?B}~YyGrI_y0=(nEOzZ9w zhc|ofEH>|YS+ma7k#b%4Rd5)RY+9xb+j`Jo@~g48x_bT)K(UH{A6w?dZAuKL*1wNA zz0A+Q!YbhY_uDHzuaxT6WErNLH*bbd7C-^`yXrmU)IjAgAMtT@Zt%ty2WgUALY4RG zQeQioDE4Oc5yyezLl8vebESjy3WR_^`z_P`<+_MLKONphG{qd zpqbNhavXv!yi!s(odaAb1D%dXPd=fbptwd91i2UxIghOD(2U#kcFJEsvQ>P)A6n1? zp1YR*_N~CD6RH<3{P3z)=;(@ncP)b#rvH>)b}fLAx@FnD?UDU)z~U-uY7a&_UJK{e z%vTRgZLRC<7;^8?gr0i+ove0$Xu{E_v#V=3G$s?9q_MBX<2K-9{|Xe1Kf2;ZDUU*; ztc5gI0CS80^N9bpP;U7+xg9jh?9E=gHL|^R?^jo$SR%-&Uv!5`+^!D~VCXOq0iWPa z)A#mJ$O5Pmd9D%VEqE1J0VoIeso2CvfzoM0jgn_Eq~; ztn5NvzeliaW@3w#^g?)^p$ z!z0^;6<5kpO4l?UF4fMXXlp{to}ofPFvTz0FBP;v~*Gv(}$$eDX1XtC90b&F-8d zv#e)+vqex)kers5ZRVeiWCvl{j-%4j2Gdkd$3yQ!@r1@22RRVM?c|nMhmOxIblxhO(s&!{H~dy;a+voROyM=-q!5 zG3`AId2CAK$Q=LQ&LJpMI88a z$FLjI*OnI4bqX33tC8aaKL%;syLSd&0j8`f^i6Ou z5!T+T^HUdc{-YN!(1dwb`2$r5vo~Fu9+GjhLQ^H1l_g3w)jlFT{C=J3!Um_5-jqi1{=mTmXNZGpY1jz3n zIdY_SSyo3!hhA49ARzTO>$238CX5Gdx3o0gJl)#2-rAl%$*39Dcp-LZf2+5KzAXOf zQ|>co3hQDfJ1ippv?oWvY}4$+S}#EJ%qt-9{-?6ui)F{G4Vfbx9COQ#fjgd#A2Q_O zVM9N&1hFCC<+gIysUva1#?$UPkXglC-ehKep7UR%Dc%Uk9e*;2uvKKk*n%x7$zn{w z%xM+qNPwpUp<{XyT?2ezoin?M*KdZheOp?hy19~tupKXr=VzL7c<&bVF94Xb01|@p za$g#ZB-^CQV5_>gn0|k=BS6G+!E|c>C4y|$U2iw5Hk|L>D;$?2#}MbudL3s3cmSBK z^qcPZ<^9iZwNs;kmEk^mRQcoXk9XHPuMpodx-}1|!gc2(uBQJ*zC*kU(s z`E}>ma92xYXgnu~QVoic-%?xj-|em0BQENnb-D8g@VHq~KYhTwXG(lrw>35D{$Oc; z`mGy3jgPMwPEAdvsoku84%OFxYl^=~hvvhF4;ujfL;%IUi^vpiTa+=5hfyOA4f3x0 zcH&$XtMhW3M8lZVXi2Y$OGSr6+2wiXf=-^AxNe)Kj8y-DQSt5VP5$Wl-M_D6=$jFJ zx9Z;tLG8poxh9b*+A$Hz=78rW>*W1%Z+xcv`uxL}FS%m^JS3xCD*geEo$pX`RpA^c4|_sRQV`iL$nN*XCQ|)LFXa@Z|)^7wdyjE68ar|bhLAEfRg~;G6UBb_coXYvLPUNXvstS?LzgkfHg51a}&I*-1g!e1yHGV zMIG`H#l>RQLbAQ0r_%r$sdt}Sv}$l>N8|<6Leufahv5Yrh#v)3qrhoQ38Wn}M5G@& zq-bL!pqFP71$l2I=i`7ro4DP1z{R~^xYAPOe30l;x3{}}n2s(e0Jb)IC1|BF$$d4) z;g2OI6e1%C5yJX9H&98Kg46;{@(D;A-(K!tHm-0N0?KS`Eg&kda*4br@74iq1K1Zj z?9dFPZzObF-BP*lLF-A7bmm3-6Xug$(g{=8SqL)k=M=3y4IB>i2Bgi-o%71J8vywh z;SZscUKdbICIP!{SnW&2pdHTC{wg02#Gs&RCIVX-p;O?m`)UFd#>dC=Jr~U(5u3qc zdj5WP!wLS3zp%}%1M+wQ`f~He2Z!Y=d{IXN{OkA^{?tau@ZT#u9Cvn>J39AA#hdqc ziv%MA_LfrW` zm63pbIr*IhWz_94%Xy1Ixe;;vDT^pB;FAGr+gz6@sYwlhi1}n+HXI7@g8ohs%j=6V zpP=sby!=}5<#s)yg;7{hHgHQxvDEA=MVMz>_-R5y_ZV^}MPw^_6k@xf5COgvweCD7 zyY%^}=2{A~xE(VhgV5Xk{aGcG_WCt&0XIg0K>P$x4@a|s9#&w{oDWq}OGvGi)kV#SpKcx7lR3nAzKFA{E6ckmQfSkBn0WrZV28lS0 zo<~yvb)j`0DJ@$zyzvro`r-A#r2zl(V2Hz8;?2%V^%rjzSr*7n~ zR78z$EARQ!6Lr+g+~+0(FwdAFVm%Lx2ZAct8e{ zjv8RuxY*~WWW zz~VuYI|Lhs7RpPeWUlD^A=nW&&p>@c1RFGt9Pe^-8B=_h)Op0k^Z zf}&Cn8vaSh+UEfiRYQS}33fI|Vh{|74JSaN@*?yM zv}oUz?-%L!2A(6L@iw8eY|i()jgX8C3oL_UKN)~@01yEr&gdS8ONorMH~E+Zz zvOnm107B|zbx)*ANNLX)ls@h8r8=1S<}`?0H@*5k`w#3z_NugN!II#W91?V zl%l!Plji{y_c|}9Ei5c}=lJ#IZVvNk4IFc{h$4GO<1EADcx#p8)ZeJQ=JSNjFt z45xx$DTk2*75?q6m=b8rA&~9$Ki*;=oSexz7cgls;b!-4UCoDYPi}2hcckEcV*nkW z2JH`<5)lxw$3R?iSl?#N5cKyN*b}-!+{k=hNo@jnd^U(slX)6o4FuVKTuGF0T=NPr zGD_;;IB#&t*;y1~?eB5|)bbBP_CIv~_aS=5#!-;{Hf7&J#Ar&NirY9XBg4k8m9*g1 zifC9jRzi;db@ja66kj-g;PkQAIj=zgK&Ip9sZ$gnZsID0n85IJHjtwSs*i#tLJ_0T8Fajq4|Vj zF7{@{H#%;AMg83lJ;2HVS|G+0G{#Vqyk?}TtqnRNyMupn&As23hTI43%hv{M3+}YN z_+u{!CMNMFn-X4_i)YWCU%z^PRfeC8 zAY1PgL@H_@fxva`YfAA$!v#g4X}u->^hMxG5C~nIX!eoo04NWmZU#5TeE>CS>FMdu z4KIPcN~pjf2WU~?YXa*`@6P>+k8ZFjKqo}T3$ z6DEGEx)&~9oPcpJ&U}QO@aD~%@Y68NIWFA?1T?!EeiY?5K-8B7VGKd?t@Zi&)p7`x zv0M9FOsE@NFJU@uLJ8H-@4L7YS{LgW0$~g)5La^ySM%3rr>Z!w>FI?6*G70bURdS! z?evjelX54X);mQj&z?W;r`O~|tKOKV5&@0ZsCP2*XrRaC{G{$ICNQUb`S;O9&N@(< z?sLevZww7d9Y0QNZEcM*uPa-}GKM|7geoear2aYC96gF0y}=bKess@Tum^-(_^Ip3+DYz@_{omc7~q*$M|_v5phU$!c@hND!F63- z^=8EM0#8MR{dJXwrsLKk191JZv9$2_8qFLQSMf5+cf<@i!;~l_BAd*CUZ$Ys;GhD( z2*5IPU^p?n{a|UJ8S@UBd6 z*rN`5zLwK9jgZnn=kw4=mFG}VQRx)zklz;k={+L^+8jC96eX053`cm+XFf{|edYR&^hazUlfTX#9u z#&7x&KT~KwD4x0wN^_+(Yge!xwc?^=g%{?#_=dCewqX0i9|mwbALyh5N2{;0a3co<51XPeAm=w>o0PYVc%uj=&&jK`tmERFLbf8kN}*T>0a+7 z86{}etHUq2D7atCvX%J}dM}xwRV0$0b$zz~=v?7Bzb#il1!%C)&YBbzhlo)=dpaNz z#!Z7?<>G>P`<5%FlI!$sbMvR6WZ_liY3W4V`@DPEMUI?gz!iOTPz^s7;(AlP6lvRos z33wk-e=ix`fW$RWe1ay*Ny=tWx4FMNvOflyClK}~z}Cg_h|}iZ(^ROc`K-Mo&(B1N z=|i2;;G=83<5EQFP^EA5ki&`s!{R+CE|z6(3H?+j<7q6Lp0)vUp7-R*L(<8)C5c_r zo+%eo<^2$pod7n*cJ7Z@cwVZ#OMrhF>2;i4!>=d#v$DTkVfHmoffj(&EzreH3-t2= zSi_yn!5Nq{EY{h2_lO#ss&Or3xfgUTg~&t!X0t$mTBBe}K^_)hUAhJ|kG4e$;O!HF z;sT+xc1A*3O-oSMkfwf*m6}y@rxI&099VV5s9?$xDhcksIq>Jk@+sl+sa(EE9~gSA zN$9ab5fvsUj_orCmfwvCzQAI|`0!H&b{?#cd4tls`*QwURi1R~E0|qSim@A|Ob3Ih zQ~Z^DN|X@yUPYSkczuub=t-@sTS?P%V1a9N z6p+^oFxBv{USoJMkYy8hK5_t55YG&-I_ljNe8RzHfq-*=jqK}t` zWZRZiNVFF;G$>(+$emN~P&SbluzRY$q2VwWR}6?5Cv!os5JgIS=jy+jegCKNz5YKz zBmyFkVR3O0IvWrSM1X8LJ)HXVDG|ne<~A8<7vOhg=nYsO_BhPO76F|`D^yc)L;ILG zh(%P>pxr+TezJIDcNVY}zm*KwT>AZYpyU*QliZ4b($J=ge?QePdKK0}OkgrbrLDl! z_6}}6@=#rH%GLa3g1wScCFc?^lJVd!(-K`bn9Er@PPUh~7Mq+L1EjP)n4+X*F zh%QF6*MZ4%0bW63HcSJ+sz_ko@Je%G#WhB3}Cf9yi;;2bMMP)7AW zUC_AZ#?+$%%{5QhF;{hO+&Fsf90T}wz^R*AJn((}4OLEO+><=5FvW?HarQ834&+k+ zn@K1zrcHh*bYV$Cq4eV|lZithYk~U13fdWlNwQNz#@$&?-ERb@F&ve$=T<3-ckb{3 zL4aXUN*bVVihcGhBq4#>_1_Q+uo}&X_K@rO{OG8tc_W!GNG@uZFDvWl908M5WL*$x zMF~H^A@*h*hSXS~n4g`x!3$Lzs+F>;DhWXF^ko#Th$%y;AW6yvs28N+P3;*vRx!-< z=3P`*f7smndDZGvuTkpA+#y|Tkegw0v$<19fEjb*E7K?d3=|w2Z3*TTP>aqWwG4?be(>=0)Qpliw&Xnv649u0Va{CzT4%H~I= zG*`Um#TnS;HqncoKIMvpRWFpEwFUmTPwpB+?JyR1SV_&aD@!WL*UdXiuCxXcJox1n zfH$?6_!Naqgo~&`K_8A`B?dW?DQ3(uWs5?^El=~Bg-@Rb22;{=;U(`eg7Z!ye(mR& zAU(#0>*`@80*s6@G!e-c^R##*AK$#+CG`e%Cg~4FDJMK6>})NVNf5^i<$a;^GT4WB zaA4ze_*MehI0z#5by}LzdxC$^qzSg9LDK=eIP&a*Vt3%9t%MqD0g^t3MX3_j_E#Bk zDTh)9HjJUUM7F0AKl5^iU2x#8db6ipFs`+awIvqOpWLyyZe8+PJKH6@{@rXRqa*ZS zv8874ZisVt9<9ZJwq@G=UiUL-;!u28U8?|tae(y~IjW(fC;&zjRa)qyWoYT>2(gWs zTl?YQabiQnIr5?dW@1FU$s$IM1OsO)>YadA1*}2=x<#)AKngmzUIyt(x>4E$+ z;~oKf$j_Zy;0|{Oxi>5KBRMb}jR=<`)e0z+yWdtJ*Zq&;h1gk%pPongv{NDhsi`$1 zqE%aVkqA*Il*}R+1bH*4nUT<0VHohdh&)A(Y&7>!g=f|$PJ`7KTn$Z6wB;X~RCy!1 z9g)!=-RH=$axirkxK8PyegJ}*7LFl2U^4N1rP%RI^1I-u>fQF67qY00FO;-N$)`bq zioPYF5_vUZftxCKd&ML8uCC<5IQ?DSy%<#7(tg>#Jz+g^moeWF>iz3qX9I&u%$f2D zgT|E)Tl`3CHE+&!ApXWn6yLW76~In$-pybZ>Gn z_ne~~ejRl6PQgT1&ZJ@1Lnwx1))`PVuP(j8q~Zbu@cQv{_@noe3}@-}^xq8T&T>UC^(NK!58X>@Kl#KR9XlH5ik_f_&Z@Ff z7HcPd#PVs`e>UBZmIw#^`sbDwWgxW%_v#xT5}2|zeb~W~=N-Z~G3YH+VsVzHomryq zJm|%fJ~s_06rBWAszwOsPYz+}v}y$CgDXYH|Did_-6v&DyQciw+^l5zL~b!JuRaA< zUKqe{C;2F%E#uzej}?=g@7LiydYMBNfinZT-K^+)r$ONP9KCD5^Qh4(_6nQU_ERO< z=c-;+vB#2roML5f8FkfSITIo9{rJ$gdLd|7YHOX@Lr6N!z8#Ad7q~DffA?JWTek8G zr5i4pia}$C%rHDW&G4=B!D{tF&jtp0X28DZ;UEP(6KRZ)-ak!BL1u0OV+1WDV<=Q% z&^(b&YWs?@H|ItM?aDNLq0i>d$o`_O^f=Gym9^dbx%1fP^FO{3F#=n{*waRPzM~k)0EDj{^b*@C%F4 zH41?%_Aci$-afZGxRv0j03H==lu&_5s_F0o#Uvm82HG;KbaMNQGYCbYUv59H1{B^& zuep|}k6Ve|r)5YBxtc+68vhB0c2{Eto*W+|yF`YFSA=^2CHf~XqudFYp&qJ$CU3=2fZ;s=#c=t{n%Sf>^N@@txgS zH;|_QY!XW|m4H-85qXJ{C}iQw((Hzkb1yN9coAyeH2HKn_&_k9YylY*;Po^pRT`u_JJ>?Tri2 z^@rKnhorUBsgr&X&q`tLF}d%sKRUz*rvrZyUtn5*N<#uhDX@}*gGp~|3wW+K7H}j1 zplOa|vrWl3C=}O|(0r7By0#FJCv1xSJv>L5JGqpJ`rcsLd4e>8za2WE@SfLvQ{&=# zWTUKA?Kl`}IYryC1U>yjS;=9l478gm=zTOJk0{CTy5V|fiSF^#umidA#?nlh#qC?B zzN9Da!<+7$ZVeQ(#m=yY510PQI4(@&H~W|cn48b1J#sZai%^mn6=hHhG1FT%S0hRy4uXdiJ|AlK6c?MddFX31 zE_&uLG1liLT+=l0U!(>Rn94MKA>eMoyranR_t;1K{yoC*4bP9C$SN(dBSd59`~%g* zO0r*Dqp9HA`y`3ay#%vI9M0?9re&|h%bg4n8ouy<){Di9DgT9q4dKgd0y5N=lVZ?n z4&947X#FbA<*jk^7(IueSC_ziG6!Nm0J%~G}oRTu;@^RfxMrV>J@~b=s*m>{6ZiJ|I zr!%5ShbK4-ioG9rV_KT}r8&B&Btn5-^@@ZDn)V?yBfn(o-bqbL)Sa8aa4+?HhA-18 zqRlXV2z|Prcy?!TsynIKg6@Ad2@QI9b_?_Q^Zi2ESG)Jrd_EBoVp^8*rB`Oq=Q=qd z(5&b!Fk41q_HX^i+^Ci-xrY_F<>{dz$e`>N|E=^LMf+4ax=~V#G#)cOlj+-d>p*@#h}sDntWPfr+lz-cm5k^V5a48ow?-|TI>}c(HY7h+#(-VTM%(vs7Li+ zO6}2<_F9@=So*?4eN$qgw!IzOm{f70D2_e|A{@NYCpVtEQ|>oKo_Y{QOkgp_|8qE* zAI0B2j@kjPR9|wpUZcLPBY3U*NEARYBm#p%g zGnX%mJwms)XGaqzU#%@qLYv9Kbz+`C&qdH&(;GW~M^uPR6U_}gBw7~xc%+$hNx0dS z%Hto|C!bXg;OepGzBuh?wOOPvL|46N2gugnT5hncUz3f)Wdd5ySz+Uz_woy*N5k z3>-7C8Hmvo`Zn3&y{`tZtuWoj8t==vc?s#6A0%N z>+Tep4HR2vW@avUwfenno$$45Vqu{sGgnA}|N2>`j#dlgy6H5ye0|r66s5D2)S%>)Bu6zN3=K}#W?`mO8PDOaHlx9Fb z(ZHy^4A|c@iD~)rMNvZ|a=a9Jb0~S9a?R!iwdU`Jwabc&ix;UJl(NIB@G3zc6KV@6 z3){K@FDn^kR)-h@$pYON@Ba%NeC4ZIgWd>S=;?XF#vjEtEyPGBEh)J%W-)=4`B@|R zJ1tX{jP^)NQyPf-{{jN}n7JSC=SvfH&_P{Wq0>YB z`P6nZrw=7+z`%MG2AaJEaHx__qZp^xuSY$eHtb?uix7r^~nqb_oI8E0rKEMDsC7XIcV9uDYaGAwnu(WNi6!9299$hI3Pg+*{iU%dt>Cg;E-6Qz2=vnhH}NZC?5{~BXH&&)N0eO-M(t@uDMgglGT>RyXM z+W%~_6BtSC#~$2ME{Ss66W9PN%5zf>;HR{kCbj*41fb0bdVDFX*&^(?3=S;CVqB8uxwmM{aLd`6XuCO_{xROu`3uQ_tMSU@lMIgcqvZhkD-AUEJlL4^-ben z<7{{j0t+L@x0MY+m!B4RLg7%(Q85vfa zLJ`vT^S|oHL5~qW@MX*|XD-fDd3Eu)4B;r(e>yF72!Sc~XpP{H?Wut39wPP>S`yth z$=atoON`b>4;Gh;xEAA`BNqHzfv@7?O4l{Bi&4XBwJ#RF_~3@t$@QiQ$JQDPH9L*F&8}&nTc^#%8G}$-lYj!q<2dI*eg>zjwu)Xa+hD zqiOt#{q^Ce{c!kUJLV};Ro))Xb1;3tU*J?*@j6WTTnx4H1**{KpD62d7N{teLd+^C z$9Mu$yqTr$dCb3U_P0Js105tnpLcBN1rB+_+)*~4Abi;n0}z%udDe)=X=bYOt;3On zo5Oc$;6h#AVOw3ql-RYcPneSfg;j3hIj;)1Gi|3kj7x-Sihu;4{+SzcU}!Q^{#;}s zxxT%N*v;*OOSa(MnB#YD)aOA}&x9Myex_9!>2 z&7@(>rbbpciu?C?)%>3mGcCbaAh3iybC~Sl9AXh9oRz=zfQmnp94#afFM4_j1@o0? zLJcVAd-i8Chok3M&1wnh9^beUgnPcn z?mWA0G5LW&Up8{0$cKfLOmdyHx-dWxFc?I?wvf%&w4`x@(KfE-Eg;Ce<}zyIzqCgL;|4Ic$~Cny zcimxvjph8ocfkC=FD<%K(9TuW(0qaRYK`R4Ef4Yf>Cwf}Ued+x6tNw5f%u*p!v7wS ziXM=P`zGv;bGhQ&K4IrOJhNRu88oQs+SD3YkS|44xzTlKX!$ozaO6qPF?)xO1Mr$I zheF5K4R^!9_7vXy%1R02OJ5o@hUU=*Lz0P<0`*S&Tl4BS*p*R0t_4CoEb8L2i$4qC z&l%TNf5N^t@DP$f0*|<{-sEy)H89-L>D5aDP^-kQw)kBZ%B=0_^0Ifhcx00`;>U3< z0N_<*30S#BGj%KYcfqI#r`F*>>bvD6q+tUi4qq(*=R%v1+FoD3CfC*7Wm20)p2dNe zB>Co*lxJzm&iUR)PbS7Rhdihvm;n1DG#J)2qt%^tq+d(ujoYflwNdO(ZLvFy?!7>_7PBEZw*((pmfe*jVda^4lQK z&QaW(zUm=~=1Qr1fa@vuQO8rV@Am<{dD8}5yJ5B zoMa;NNw0(~JIT}=xnyU3PScz3F0z-ooU$e0#`@T0_wIQSII#5-WBE?qsczBVpNw=! zyfp9mL-2BZ ze5X%hlk3j70Q6wN=@K&N`mrS4oToeFWg^YX_r;#*%Q9gpRfRP5L1JoO@@oGrSM!H_ z&YQ9&DTH&-J6`@m>Y^mEOI$Fy?r9AqwdmVy3Ys|^E}yOn26St_yR`~pP6Hg1{=1q4 z2V3gx#4q1^{`|R6pZWgAHJ%AcRq1xV83N(=`2_f8xgeZXQ*ONu8#YIci@yZlK_iMd zNUXN>Y&E~fiBott@oukZyP;c#S=iUCgo8R<%!E5jl3&dT?Eq4Sku-^!j@AbL@4+d6 zZg5PmXO8_p*G#8o4pYF=qauR8t$U397brE`IO}xvI-Z;rbT=V?h{f8wYyJ6qyVG1J z@2+o=1fgNaFN;Uq_(h#}Pr@z-#A_Cm6g=d*w={YFK$aeepf<#1XJ-?&2&Bq4J7WXu zc3M3#L?^fi@8%Y&mz{O`srTE`{U20(`sN7omK^3}b{thR@9WGXOg0}M%UyNFZEs4q z@V^(kJ!IEe5#;xS&8Tl;5)C@P8&>{9oLz?F<84VMA^^ej3Rju+|W z7=$3~2&Z0aVcQ_P3_1i0`!{Ei{zY(}8>S)<_oxRa_=s3KtAS-_xb|5vtx$ygl z>%xGj5(-ho%Hbt+?#y!!#x53?j)C0$LXeAy!X zxpv1&fFD+#Nu3e{bM7wBs5*@L*+{6uj3+4;puOSjDC?W%`t!>I8#ExkBL67lpi>!$ zz_SoSD!7o!kO1mZ#qb)Kn#SQcoc$-glFE;FzJxzhcoz2Zgx-L!F6PEcEq!j%-N(9w zYF8$4VJW-X^G~zI#+t50@%Bq)WjOtF)cSL9K8p2c>feXNv%NEdS_DQw!RiSn`A+Jk+dgo7Cq1% z8s6u6xHZjM|C^vsj5xD@ zl>h)jr#z7clZf+U58TYTe+nkKcg7x^bHta_;tyaz%=q|7$6W@BGUky zN8=wiE#pXph;n8L^g?TQt($lvma^PGHf%Hz!(Kms4=3TA+8$koO8+$as&n?B(l;Os*V5^EYg)%wMSlY` z*OCKu5IH37FAcc7x1(11Yx@p6LE}fi4>`1$NsL4Ua|VY6k+nMWW~YexYP1=1q?)Vn zpbq5u<23~0q%=Tx4qx;Vjc;6@Js#vv+*9O7L6L*7odE#HToB62NQoc$@!w z60^Q6wx&JAq)&@~x^pkJ_m6BVFLjU9zCv2@S8D9rJ1JkUbv0Ki3GNo7C;*1#SFQx+ zt*5`vAG%K?p4xP=COPQC*HH2ZV`smLpo`C2j!^@1XJlesvNC@!!uT+~;d=tLB0K^w z7jrm4s93t3ZCs(Zg}(Sm_3qsh=-kZ8%8H)d&F$mD#7EtUTa;5X4zUYFKl|uPWAzln zygw27RF*RD{E~^jKw^uXXvTeFcH3Aja88hr#wABeW3`LfI;cMC&&t9a+sP%9R@teu zR0K6cvjc6QUBW5bJj><6OxJ>0X2mP=)p-JUu8p&OCpOZtZh9!_5)q;cx#_}>X&m|v zq+pZzq;zzu35oTdU~;ErVR^W}U9)fdyQf6keAHq$8zU&$#t6@YNXTQ{;A>(iza}Km z_d%g>X6clo0mGl@OO5xx$cf0-dC7VG==bEkarjt^ko!~J!QouX^#b$aa0}WyR|v67 zw*#*jnTJji16EZju%nrHdkm~wa|9;;7gOIIPW2!5|2cNHY$2nNJt8xsNR(tAdxfkb zdsMQsB_r7*d+)unGZK-N8InDV^t;dZ`CZTTTvz{eRr;LId5`;kt=pX!|BlF@_=~=o zu|YPdwtZ|5g?!;&!B{~MQ}7|xVG@BL>cav!c@X@WZ-|wosDu+JC_TK|;h!8Q@q2M3 z_3JFAjYF;&`)_ z5l|j=houZ%XRiDzm5Dgrog(7~U)1WOcqo3l;>4)>6jH^djuqtVwZ;#`y32&%IJ+c? zBRFjsC~u_jK3fK!HAGfl2El^_va&LAP?>fC;el~_A_$~OLGqe@z3Zmtzafr;ZTmMZ zx^5_MGG8_!aW6JwRpYlJKa){q9gDt$?f$6j;vXNcS`sr*TOCBj4bi941;M)WaPQR1 z=dKedCYT^uCq^85ncEC#1(ATC<0D^P*bSt4g&mH_Ro-h@H25mgTpor3o4|&&cn((@ z6oD8oJ;w3tbo5IPqlZU)0h3@65-NASM9cEF(zp3{gu8o8+;wVS)0)4Zk#f#~DxyS&fLan(EP zpBhZOU2c4L(pdSL$HZV8L&*(hjAPG3UWFf~S_0lo_WXpMjV;-(mr2@#ymr>jfTxyU z(9saO+yTC7*4u@9%t_gV>8dYtbvAu?mgdf;QCJKHTkie%$Tu{r61MhReQAf*k?7<*AUo*{=URl?~K{-SXHn1=RuRt zt5@-H^9YPbIn?@;iQ=-|NJGgwK9Uv7o^5INOf|)BD?b~_lm4nXAv{cU^LS<4PK$2z zDlv^z6dc#$$$EZoo1R@!!nv#6+F;e2bYL5$tyGS$H&{97^zk3B zLL~CuGk(J7p0$qaHE=H9+oHs7{!qh)mLfuXwoKhB<1VSpV~pV`9|~*H^DeMHa1U z^h2%Jn%^w%PhkM;kFh#rz8Fp8Lw$WhL>zQ17!d+y#en8Jjssi^yH%7Sh0p-jIiaN+ z6zfa>t=bST{Ks?v!eAShYkF;KjDjgsdxqbQ)_|#rYUCqAfIz{1W^o#rv}H1!Q2->a zp_DjjoQ_n>nGDJ0rxL;b>xv#Pzv%J)lhLL@?1rBzBTdmJk(bGg59+j2?55AwN#b>{ zuNZCSTDC`h#l>8(Gy2U$;vmxiB_}R|Nw~oT31V^u7r|aJ3V%U7RIlx3gWSr}$}*a4 zgTO69aQ?%HNB-Wb4WsdsK{clG49Tt<2TAH+jY+c@+zL=TK(EJEoPKeIM(VujQFjn! zJ>3_X4vY7he$^ud=uf{_je)<#Le4zaE+QoX3|T0uQKtpu*qZumB($@dXoNzOXVw zPnxBvPfQw{tjXNw#x-=PcBPt9$|3`7Ddt{K)FsDU@YpK2NvEr6Wa!O1Z6_LT`Re#a zT35>$8;*^*3+Xt|*1w4otuv3E%uJ#w^QRuPWnH&CTndptB6uTFfm!+gscP%1y%5ld z^QL+%UT6ZF047+=YAE>v0+uyiu!3%gzdz|rOOf+2dz8aHG;rnOgILv%Iffm?42p7N z<3-b)ZhZ}r3mZ&!I0zsdED;p2xTCd2_|?gAd>Umb)9mk~kS4K4*&h*VA1&`L)LGu9 zeXPyPAE&j@w;crtgwJ{dNj?%PZ7Dn<@OKL?3P?uk5GfYQpx!b9>o;JDN<6jSeWoWCvaBQJlnv+-squg>rO2_s%S|M zwQQ>hUu>GX%QCd>YHR6kJ>iHA8%2>?C%HuLf#b?KG4D4o=9h+CA33LomX`QdQAm{W zXC?sXl*)7h?eN{Z(@)fAL^&?B>#wfim3!0qW)9R}tApB)v-WoZ!eGlWeZA|MDE??@ zjDch;+@r#>DxNY?DH21b%;di@ZcZy?wKuc^e zJZW=aZ!}*YA`(x27!JG7l#b=oNYzvKi8gBxb@0}*u%S18<8U3T$FDZ2`|A@1-2aAa zXz4uW9c2!W^{R9nn+2oa!}yv&h>e9DY)p`0G79Ug=DISncAj#QZ!e=d4049QXzl)M!|r$CRuiJg zz3H==iFtENwuk)lz|>?x&K^e7jA?;Di?tx|@;4F4uY%vcef#x^v7D(Mo{WWG44s*J z(fX=@=i^YgjEBF}wZ3ptdaRv%z#w58d99$# zd~ku+UN&LdEwc3&Y5Niz#=Rq11M3o$VRGPZhs01P$iQHfbRmE~4%7)4gPne(C(6RZ zTwH15Q%SKvdldier$%ku3H+wD^rU$#=W*jjmwzFv5lUo})+ zOLQfQ{RX!L7UO^^z`}+%K1$Rad~vwuVX=9)E8G++%((Ga&%&5slXx5MlR3KOhE@z} zpA>T>#_N2evLpUOXqejIPS0h+?nKi0MPlggrEgcqjZ1ZD@gHDVzK}+pZLB#^tzeSk z0)i*D^`oC~wXN*3@GZwL+4 z;mLiERfl7iDeK}+$ETZ!?@FWQL!HV8PIq%in$#Pe@4DW19jVsWb#TRN^k1(wph_L! z3m$K0hj#yJoDMR?q_!-U`l;(_?q0Mp8Wp_p^K->2TZ@wU4JS>ltzS*)kE3!CjKgWk z<`D4!7yc4>FM2>*3vsPD@@*Jy64DyUVME@xyAjpaiW}LyDYz&}gkH+P%F}gz@`}_E zuZ-UeFJNuVlwQdxd_z<^WjoZ8ZbtArbKgUGuHu@d)D?WkUzvJ@%H}Low9nm)q8<J*PR#QvWs?X8P@{#B-^2ycn^$Zc^`xK2xS{3&NH2OlVG_r5gA?!uADL zwyzjDA`1dT$XBrdUJYc!@C)Mt$Cwz%Zl0u9zrQp8ovy9H3gx`VZ`v(`c^jde@q8e_r|1g&8KZ+<7hOipS)){qT0tYSA|x5HN|>Iq znnT`Q9!|9yWFU zEVKWITy)T_!0}fPYCg<=nGWV=o@VvFS-n}}(C9;)KG@FFkvYqnZskn59Ivxft2sp9 z>&(AF*!ImR`He{=ti`mj=bHcfkwAd;S90h(nd@j1UC?erS@{{=?8_~s1(7j7$J8SV~(Mcs*xS7y!6sKbakE*I`*mSme#7_TZ zd)crL4FXP!&IOPqUB19r(&&U#o85;m94N!6RV1}%=NnYAK4==?T8{nM{YC4v3|Fch z^hLwC3+?Zvu$Zpa`v{t*KP(4W=Jn^kA=itbu5*;kr2<@D4jIYSBv5jX`na`^3(x_I zdSE`D!f5BErgul4=F)K3Rp@ljxz+3T6?a*<<6YnLvQ9L{QXu3&n;!pGs6BP%R--_O`ir0R zgn*JLnu;DLOD*ElqRNa62L+bza-Jy&%6PFcT}YN1NxIla)R4;Kf8vyGDFSW7cPgn+ zBU|M2lI00zzKeuB#-}UUF7MILsZu`icP;TmWg2La(+vJxEuXqJbWlC%nYJM|3U*%t zRs>gWG+>O`?_KR7O3@r~*`&dHYw<%|N6g@BXF20Qx=Hed6`ID?o`(}JJ5CdmQZyAv z7_cW`N#T%=?rBFF z?I8Ndo8e8C?J-}C6pq$3<2-=yk%}rW=v!nxD3F~qZScccb*1xXK%v`&2$GixRMYAG z;QsZ1r{hCxJ>AH+kX}u;*UYMTdT!yWu3A7csQzbjYJcxx0)ekz4b zaXR?i#o8yssn>xmQH~_+0HVvupt4l=9sz&+m>cVHgs9oZJ0FYz>)=I7`Xb$1oqBgq z-Nx`v#?kSBgqM=9dre8YUEI?`fJMt*${=L15yoD;kLg&=!zI^i8n}HI(UPT7uX?|t z9-XaY9X(4cc}OisBc#L>#1UZrEbVb^j-j+R;)$wzYWQaHRHWXr_wAro3wnRs{V4;E zztW1Bu`nAt%cE#gok`))R_hxh`kbOHU{Y^W8U*wh?ZrU{;Wea!*dI9Alj9OCWQe@s&rS|r6Bev?ED~2#EC=WI(4kI@ zY9yh~y~yaatRHlfwr-u#Rw$8h6Qj1dF;To|v*gp|?!cefOgDdek?uJgNqC?nMT1MX z=wILG+{XyftL(U-&66K2KiR2uMtmRkRU1|8*`}3$5H4`LFk<0-dqKlVRD&qRn_OVl z6UDpqOQjU3cPFvS&~8I}>Eq5qc}E~#j@*|n3sadF$;3zKmTs1!)02QE?x7TvrRX`~^A2l9M#M6>D^C8ha#>7C*M; zG_Ij8OBjLM_llAd!gTTOQq?+?<{u>sg;K8dngcu2TcwTnZL8Tn-^KsJNt zQWP+k5OlGl5__xE8kODY8+83^-7ble`c5KR}3Nshv z8KlKo=>e(tt77D*)-{uBx-j6L%i5fG(JhQArk&yJxMkoosIZ|&zCA&Jt@bEx5#*do z{eBQ{5FN>BiZu`XDkfjMHOi#*g$zal2W~MI>6zbViHV7m_lh^r%dh&r0|3JKlv+;c z-dFlwG#*33Tl9oi0Ea)r=Zf9ui&*1G_N;Q#?)5G8nZ4qY;)y01TBmKx2{$6FY{x0R z8d>L}zTewUGMUjWH<%DXZ)NL)JbH`1a^j0@evUxR;C~5yUIUsi<$0n+{`o(Dz=|j2 zbK-~@gs?VKFM=^%<)(TOYHMFttth98mHWv(F|O`{nkXW9>^%0wu3MPc&yL1~bXP-k z-%V!qcT1EzN%-Eo?vjDZx;+=0ax5;Ix3@@Ar+-bA&;tqWGpr22JIcdYDR=azXDubN z#&pT=+(`+;LhQ=0Sw?lTu+D%#F7e^L4WQVR@iE`^p9YB51}p#<)QTWn&q_~6FfmOK zkW+5|O*jg(c;VOj>FDTayzP@lHl6CT;&X}N{J*tmRMnJS2c7;-764Of>esZ6|?&<;S`?c_dH#;_zMZ zfL9`pd4hJnco3>n@I|2PL=Vla_`YJgKP?10G9iskARAF-79UcUw zM@a=4lg~d15&Km!b7YR~UhGQ?7H1xD&9L5eip_dUq{U-`y?QK@nIcm9uTC99qB7|Q zllVeZF6N5{#@odJihr2-17?!7-Ty;Fr_wHNu6>+;IKj^n>I_J|QKJR@_b^%Sj@~0u zH@>ac+M*LZPC1L{{ONBdi=s@USE7^b%ENnJ)4E1jzZJk<;>+u%tA;D1$skAL{NQ8H zI_;|A9mnI}SZPt1OocMnNkkkhfM6?y@J_>qP4JRH9zEC{n1??@#tB12sKBBcv7PJv zCiUbcvx^}chYVAs6VX?7Mh!3LX833ebO9D%Np3f~G}Z2;LEv0d92qvSb&Qt3?J)nf zLHe?1ZH>ph?@2x9GC5^K7q~HpwQd_u8}zpr!Wi6aCs$9hfzf-Q@!1)co~MYyK>)tC>KdnOJ)q2t>@##C4EvS>mmZqaT<((LvNX-;oG{_P(# z&mZ;FpGh*Oz-f_An5fqV#7DrqMRU!6jPqAW&46dgr#DbMyGo|aJ0Pbm@}4G-#Qw0W zoEMoZ?&o+SpFl^kyioKdf z-{)R1i>bn}vi;4tFbC^B!Iv7xl9$sk2i1i{C_}!3V*g>}<*^%O8k|=A6aDX$x-uUW zmA6m0UTu}+nXa5cXCVXT1x``_icntrM{!_GxjfDtWJVHy&YOXN?tx zQfD4D#LjB{S%6^mKQWzn;+pQ}nZyI4Jd=Mhr0@NYS}{KbB5Z6Z4HI~6`Uy>MSyP-2 zR1=}E5*eg&yy|r}eBO~?o1(qEpwa31f^k=roc2SDjR!5=b;hGy>ZQ1UDLaiMnDvbf z?EpvJmOd+)C<#*`r*S3o0EJkH@XUB5s%pQfYPAF^ro-1C=D2-9To2eom&Ml^UL7Qs z&3|Xt;Z~bq+r-O9^T$;BbWk)%UW7XS{=A`8H#fNbEBP@pA4Bq~Y2JB^R&~EhKoD_+ zvbmPuGyzC+=xh92$9`Qp1LaR>a{{It6vO;`$IEv(3z3>b_*+}EQ-r3Q!h%KS;p~rk zPQQz7Q_BI*%Zv0+pbp4EdYQl8Oio|a6?jH?=5B%q{I&}*6>|6e{1h(l_Ya?3!$e-b zR{Z!UpeRTkN3y2ItNvJlB9z-6F?3tmxrn#1_?$SshzNb8@9A}K;x{ueTT%Ddfynn5 zkN`>J`Hc`998gt^i`}ui;ZHu=!G*jLYj>R%{{3kzXbX47e4wrOobNJr-s3RUwzwe& zKfSi(3BvRyqoIF$%t!y4U2oF@f1RE_6MCQ1`RpmV%`rp|piiyEbeI~(rtSkZEr|KJ z0Iq`65HvChxj#%-FUc}T*kuU$h8`Z#buW2654C)fPTY8|;rVVb^T>kObW_rI3kB$4 z;@2B^h$Bn!O24Y{J;myTU#awSBX?-EJYJEP&9wRi|BWVvFFo0 zZO#?)^?eppojgh6of2bryeGS0 z9Q^KYinnEQI8eedP!kNI>4@yLQCxqhTHA!>zKdt|EYXtfk+8Bsbzfy;@DGEi2 zJs%T(angvE_zJ3j-}@E$#goV2wTk!%!MI8|c1}xW9$i?2&j$5T%V^?t20~-MW0Uu5B1+P^sZR6)_Cf!*+Wah@@T zBnPnC4hi|Tgv^fa3HfF&s#xPXs$)_=9P_gYLA(Aj>45KRi(HLtF~RDy0jF_aH3HG= z+ZDGDS-Id;F^Be&FA}6o*HNN94fh*%J_v0fVjKbmhE}L)%jYkCa9e}Fy-*zxqbzRcfFkAnTuByaiihUnFt{ROh0j>Lg?^wqE`kT0@9mIEVNndxs0J9xg^NM zHSOB{N==qkv35ZOxULS8)zJ=y2HLXylOWCzpt;Ox9XIh?x`wj)e;T%VJ-&}fzx~{T zmF`dLc=m=~k@_oM8oXMF32*8Tk!z=(640{QNY!qD}+0)zt`B>7W1o z(u(DXu?|Uavh0qinUl!%w|fpmL7KkTUw}dYas(B|{5&qS?D@w_RWwc<&bPGD$!4`P zqg5HY#t-fL^uDtd&Yu3V2$qYLBUp!FZ5KxgA^W2=)o0uI<;P%p$Ne3TgRN!H_Yx+C zjlNwhbataCWY3n{*SF|W9n*cBU2760laGR9V{w9>y51JkXcJI7?RK_@)u9d7cVEa; zAfSF5je+hvn>u`p`4xadf{%Z;UW_d@Qu0ad@iNBa;2*0WQw6|(Tx?Zb&W24H{D6k+ z19m=x8>3?q%7z||qQGboBf!8d?!HL1LQ#&IVRk9??clX&I{LB9D7|UiB1UYwBF*+Z zcf8LXNf)R(A5qJ-q}Wq@p4`&jwUK1_?ZZ>-#@PBOzN4xMYf^vdmtR$C0@tDqjUX!% z4Xgx7f^vl)fcp;$2|i9nwd;r&7d@ITTB;YL4DRl>HVSg~AjSp>Kc-`6B;SQlOqh2UJ7?x*YR< zpg%FC5Fj2Fv)9nSNUL1;E{GoC;mFMm(6#;1!Rfk78=v%V${-&LtzlERPnU#y4^A~$ zF{FOZdIb8!9JbUOHL3)Nv~a#u=B+AafufHM7T@@0rn;R{7JfxdA!zSufI3eWOg~g9 zWtvRHaD1y1sQogzWvMHMzwH`j=B(|2930h2^Wi8f2mkkj6$ZzHq*H0Lx!;9aKAP>U zHe*vR?6}{#ghHl=mTMjDHXblrF^ocqa>Wy^B2WbCQ;ofWzb%ooE0TlMh^KKIC|q}2 zWh-YIn!>n?#CZ*Rr&$TWby?4MfnByZh4}DFz;%lM-bAuJliYjWwR{N-FiZEHoe(M8 zHwH!CeLU#nRkDhC#ag_n0KclST@c8M+zYo}j?9j@|sBAq3mN_CM= z4zT=;0E?9NXxDcvYz#@{K_D!`Fw?!}-3u1`-U#~-A5XQJCN$^|J)7*o60`EWvrRB`4H2&*m#cuXLgQAr< zJ;yVRYrjZQIofV%7JCH_O_}#eu0Hj;1tJ-K9KP0|Qo{7f7l`mwx-|93zSj&qKtgrYv1rUqz=kx`^mR#?2H;)U?tH`gjG7lXr!nUUvCGD8}a z1e?r9h9ysF9pR;b+W(`#omtL>UK0yXIV%4QwLuk>$>*Ej!k?tp__1eqLII+T-wuIc zSY5X78-92Tad{Bhir|05L|g#sDP6NCC`>5xlm~B2C&sWdxm56~PQTBlo`Iz+=DR#u z7*UKG7o4cMVNXxD+bRn9wn;+8_)2~KeXJOn(m#<|yhlR(8pc9=$Lc6xay@!qYRKUl z*7_CdesSclC5CK>>_mrq1U9mmlk8PU+)bw*GAG0IT)j57c*~v9@xSTj^ca`OCE0(o zOBGzLxm5E2^MjAM))gCo)2{MoEm-qMm7cwP)ookkrXX!d$)bRY^Yo+U3gz9ieA9;S zCCS8CW3q__mec3;ZlC*2EEI9eIOu+kCnpf5^G0)9p(aWlPQQdcG;`vzxm(coV%j27RbSEDF&hPyvkI4iN87W6^g8X)-+yWm$Dg*24#3AJg5@<-SJxR}I{c z{d!*RH~HE-Q*#?K2h-x9H>F=ldR>?v`dadUYdEq6>pf>vFw3_Qei-N{nRd$pY!vls zZ=C+N6n!A%(nds+&1Z6z^-u?l=_^C4ab|$70krzpvBB&y0M7c4-WBey zy(9z3S{nUp=x3})!5}NJVW-U4Xzw(SR2G6sH!(7U2dfq@^h}GGGv_m~YrMVLB31n@LA?#Sy0?{^xO)liS*RwYh zbkLy!xOp$nzBH=$iv?IPTYUBK9U-X*VttgFhrJ;{9W%eqkx{p_fR%Og^U7TcV31k6 z^E79MJoWHL;?xGs`jRv1{-$}C|JGs_OY86CV{e#`v-@+mN4y95nu~?@E)pl*x%Y(r z*{7j4Rx(dt5vslf844T}aVM8MR=zcE*%rU)Woo(07POnB?R+ef9_`yBSDxxt4?=$VH{Ey zE$ilMcGhi=yJ{mG&`KnJT7XP3`572|v}3vlgI>PW zzYuU>-+t!aOS3Pwo>O9;KLM3;ow(6uQX0!Yj=5c-M z))|Z3=IXx}b)v!|?%2eUq}j_vt+eK5!m;1?OT%6w1tX-VnyBV!@U`ov=;u_cyZ)LM z=WRc?uX*)@&$zr&-@k-g>iRHI%e`zUbG1E|%@s?9@k3qT`mcGe^a>fMFIv!3d$MZI zt?)$dThOzhdGO@$?IWjpocXak>u?{3&AuY~y>fDH`hm^I`#lbC&BXME>TXo@QT{DF zx!}%MFx_z;CJxDir{?d?rx0upxhA8!R#sLbHE*KhH5(~Ij?*1YvA;lQohf23 z{w}PmHMK)(W7u>cUmBRW-KZ2=N3mK)Yv%z>?jAVnQR;5%Q%p^4^P8%C9W^4JH)#WF zCOx|v+*`PP*8{1+_k-E%$9xY$69*q55@ic$kJo1pKGam;q)9bc{ql%&+N)#Pi)}R|;qlEHDkL#+;YLw&suzoxsI`E-pMebiJOz`4yCsu+cj>2cZzYn0+psuZ7B*Iq@i5&*!c6G zpX=9szK#U%(Ke#CsurQTzk4{Vu1#8u&A9yX>XH9qFBcjTG+6m0%SS9G1!nCJ@P&{% zUH(VF)fs`FEwW>R{96DW@Aj;ZZ&AyYH{_brJMt2>(IYFv!>(eb6-INMuMoL19b6J! z0~BwmUcpuL0BdzR7Q6sLMB~JQK0SLBBdAUs5h1j;E2wZYh6D#I2>wZ6zGL5bBHU|Y zqDcGvulp=}Kotr_i3|)3IGvw)uAlyYw+>kGF=>S~{DvWbe=oqSGBR|$BDiFzSMS`p zb1U~t{j8eu9hNjc+g04Wnac1?Db1TDYJ*ORGIb)PAEev^=qA_+Z33z3#`ze9IGC(R z!xf?Juzr?ehWRGm>P(xC(;XB;lshVWcK(6OWG?gE{U7Q5$U_@XDBk$@6qLi5QV7nu&Dz;+r7)AEYLmHl9KKGYm}~SYJAq->`-z0#hTEFPlp&a1jW+KK49^Kxi1NoB6?kiglBq zr^2!BlfF!vZY1>B&r}Mj4WjyvQxB`YG9iz(i^k%L7U>RtKKgj@!VM!Z=BLt{U!V@& z*_OHkn4OJ!Qo_>w_0#z{<&32Z+br17|TI>BM$UZm#mv1 zf=Ejg(>4U*v$k4MSVy9MM5ufW^dn6E#NGA#?AgcQ^%!l9K-H^5ciGI5Dk+?mUylVU zeJ@ouUSQ2W1dAwiW|5(mrhye$TrcWC`;|$g0Vd;pzaG6tykZpw11`MscB2lAR;Nbf zw<7^oJlu>kqqdL*P&~AY1!nFbovuuiWQt&6l{VqFU#uzRe@3n@ztvfKdTB^Gir#K? zVMVW+=;4MfM>_gf)AVGs-!me@em?Oyqaer)Bd1>crQ${s-89c^`-O;y>U;3oSm*?6 zWiNd?=4OD;fdqp2fiTt>8v$`bIQTruSE`)j58&uRkW&pJA;Fte@ak(P%1Y>K+V!c0 z!wMX)RN^$7D*zmg(Mnh@34xsKIBGkHsbX_)jM4vb7U^fu8Mu*jwuhS^gp+oIIh(Dy z?4s1r3Om0ROh^c>KN03^B;ckMjmsWU-niAv?blxynODWV&X+noCC zfWGT{ZZ61mlj`!Bo6b+Sv3$KI7grNd2~Ik);jahA)jd&W%v7jaV>SwL^kSLKrLQqHFF> z?R&iX<{;OI(nfXlNY8(BQ6O4n>|{ab`qlU2iT0T89%8rkamV^PvpO2YRlY}OnF|#d z;2`PN_XwZ@F8_P)<`X&^0jAQK8+Auc#i7%Xa5oAO8~^i0xJr?|(U)S zPD4w7wLx=uQ6uc#^_pRH2tD3NfjHt;YX?yr-5?h_k;x$!!TZ=@Xn89{4L9tU_12Cs zUNj(*RSz%@S_I%Hz2nrAZQD!RPJ=fe=8Vf|LC(Xd{lf>UiQzwKUeW(GkJd8`q_{gY zpA~ms_G=zmu@1t+4kAStzoD~S48Eh;`ImJ~2iB#pDB_vz=Sw5LT~E6F{xNrp`Y)Dk z+P7R!jeh0K)TB~~eH?yY!6y;r>m5SjUl?T3Ug10Y)3E8c#$9SKQ5HCmt{;N%DiqAe z;0VC1{;ow8!_QI-`qW`f!bEI=}_8#NA28D0TvT7dpo^u_Nh z_X*rFzfI1sT11jP*Ns3_TlCRuz+G{CeS{t#?;5SpY){9bQfXbR=#-``Cf|dJhdhPh zXVOwt#k(p7>cYAb@o)0knw4v_eIX|2pSl;qFB)RxgJ`W9BY8a!z(5P z9eho)ThLH_)Fo5!+{FCC);Mpy~0c1c)b11 z=++Mt9*CoS7gcy_zDjS!e({np;c4^@G37JA*MIk_xutHG&}h=D5_C{IIJR~{pOU>S zH9>rjr>O1HhML*4G&&%a2*@-nChD2lf0c7^RRVVXcvQrVB< z#VZ$i{B7g*#Z&BsEQ>>NalWZB@GmG9E`mTt9s&(%!wR#xzaQR`vUofpcxC}zSAyP% z3^yImvv9vZQ_o+{%{t^GWB(UP&}Jj%k;4V7vTWkA{al!1YJ%-1xXiO0CNsr8JJ4~H8#s)ILM z0m5Wd7Esa|oEtPyTfJ*EA%-7i5@~7iJ&lV68rjAfvHgQIaoToeveeDWvtl3WI)`ubo5rAp#tOvOg|2h!lxrskX+C+thSzbk zoYmuS>cxrazQiX6I!@eMkrpGZm3JH5^5ofNhT%`e-#+x?evdsp{KKNrKA#E!SD8fq zpQE;uC(0p?I^!TVwD{qRUeo5qSiC^oxYSj6Drq91r!V?goT|Sh*Gdn^PMa>C9IWKr zwReRU*{0nMQ+-FdFP+yc5YK)0p}Ex37yOx=Q3*F! z!yR1J@tYF6tNrCgW8+(|S-2AR-%au`1dFI-_g#hr26%S8du#N8pd36`z7~MYzi+08 zq(%S6AntDFiwaXfJ43{1^=x$)wb%}HQ}()LLwXC?zT_$WeDm~U$y6$c^@(X>1MT&A z-E-(CwRKvoh|{0lOW$L(W~q|IxwkQWfjeF?Po59=meYrdNyTd>)=$k#AHSWz8IS#z z12HmK2*>ejC9q7t{L1@XIOoCjhJJ2aXqe;890%uz5=Uz({i>=nw2U{eKYnYb{US}N zs{vQ;_my|QV;jH)-@|F3nZ0u(>m}!;C+fE)jkI9KB`~SFdXvZm%BI&;6fQPBz(OIY z{uLvLm8f$!ya<;jL5osyCmBYhH=I&KZsI3E$_mFA5 zv`d#Rc3slLxIm*k{PZ@y5c2Mzy8XH^I!x*gCkp944(WJ#u6zeRbth#9MW&{iBQ2$0 zwXLBjiw>c`ZRD#G4wq1r+WA>ZtZ}kxcU=&R=gyln_9v~J->t|TgW8@Ro7|SK$7P@n zn-R^eMdzkH@P>zf8I>DCpw@E>3`?15yAXSBs8H7xq;6l*0+0NpajR zRB#(?CDFI+y|7;v8`!!`-Iif=3xZaZ?uDocMGo;HU$y?&A5HNMh{wPBs(P}B#)Hd6 znNNLd&1|G#2iCmfjvtk&x4SUPap*cT1O{}z>w?a+-@)kSgk0A+4&*5-3<{0%T2XIE z^fFu@%F#7+*ARNF<>BQeApLhK4bvV!WR<*z{FyH14Z^=hR{Jg~L-P{rAlKJyzp zulQaNzKx^BAl7GyhJkv;LYbEGm$ajv1`bdbi-oeI7@&taW#-mHTv8kzsi>w3+mG)K zjCqO!s%~J)lZ#Gv*TZHPY9bisi;&PNZk^B78#X*5h~Q5xa45)k36B)$MNz6OYfCv5 z3L~NPAAoej9x4yrThTB~2#ZO>xTHQS@f{g+X)tyQrZ(OYWehH%z`OGGQ<3W|s>>Cx z2!zn(6IyKAy!NE4&T#_4>`xz*eFdB#%s%W1^Jm-~ZLu{`#)As=>1e%LiuS3bqu)t5 zY>)tD)QZo-C&*+u##&m%K+3#EX?Oc}G+rRJ&RL8`h|OQg@x};;Zy?miKpUn_7a)*A zzfmIK`s+V`ORvDZo!9cf#_miy6zcMR>A0q#8IXX87Z_aWc8O{u>0Fd?GqKg;rRyFz z5gl@Ne0KB2=CL_$gk_3|<%%N1glUhbC+`D8Yvzryxz4NUhAw(@H`SOQX;=S)NCIrv zhk?|xmj^rG|JLZG!a+d=0hlXuZ40%Wgvr7~xy_BW2fbqx;lWg{QEsI4lSY-NcUk%b z0OosZjQ-Zo$C|y4X)2UImfL}^i76>rsY_)b1>+xW5bN}p!Iz7b$0#Bkd6%4+Bqu^s zlId=1F=9_#C>okyJF7+KU+heg*U5J=3ZMF(VYCIc>|vtNz%*9|PuwyJl=_kW$0U~!qH$KCOsh9x>Qb?KrTN}$ z!N$ctd>@gzN+!HEMrYAImD!2ME-RA1UPT{;!+mkP1AIFT{W84gMGyben@o^x5;q5F zezGF@{8c9NqvpvorfE)2lgrVTGd!N=WfwUghV zOd&)qu-CMB(eSAS;xE%=1!D71p5jowNy*E8N_h2;HwB4&U&4MIpK%TwA42$j-ZzoXvJqX9+mNV2#~Fa%e(Q zE*rIh8C@)O?{&V+XFg#9y&twdzrFSSr@y_y(OYx&fcLIam)rGOD#`CzSWlmP_TLPs zt{(0HDMNnKuZp{shdniNUmKKLW4OFJUzTI#kd>sDC1L!Hkr%>AKi~Zque)l<=^Fx) zX_Mh;1KP4hx=3xt1jdzQhh%Myh{GOdWbEelc}j$GxS&Uh{SsNEWj1#%`Yx4;2&#HE zrKEj~vN_0kLk-@Yv{(*4#7xAfhB}Vx^fgY&-1E8fu8X6wbyGI&hYRRJAd7BsV(FXf z<$F`om>UbXoQ-3ffl}0sm%ZA^MxraFx80?_`BRFu}s1m&U)wvy}cEAIJTbuP_<&XzY{UQOyl;8wk*cL*<*NA7?;-r%5bT*gmF7^9AxLvkt z+ABB&hazv*B*##3bA{uTm!A^JnL3DVuZ(?ai4&;J(sYIkWHhJQ_;RMat+fuc9GoNaXrhEkY&u~<=_wNS&Iwp%TGt;KKQ+`9$%@He% z_-oO|QoDcr=4W)s99ts2AQ7PhW{4DN;kuIeF7AH$>s@w-thGJ1k+yk|E7ur-Pj(Ep9>p# z!yd{ibbK#GGmj=fKMyzktlVeJfY;OUbJeFZ$xhb15^X@4Q}_p@}7}U%Dum%aZdzktB1y zdm#C?#Lqs)q}34uR2Xq~Uj>bXn20^Y()O}pl69wFpH1QoRz)v0{toD_~K zIk{(TF4C7jUx=4VGh;Pz{3*b_|6d4OMdH>#A@dcp3m zbiy)nboN8z_~Vxz7LLx)yN{w&_w4Jgh@u9p9v#^||0~bA)2n({{g)y?FkHLFO&^}+ z@~k08%t^Yzr7PyP3vXSJw(n%)3;UJDfAtM&yTv=s+0?>NZ#`drF7O@iuo6^gOG~yz zA<6bG#3zQ>?S*mPBSd@KnVB9+g)d2k7FkisuWNaWbMAbxY0T?UdT(_~)6@<9$h0PfOLQIt;^e06 znXmV(t@U?)oa0HKx!t2_ zZiMt2^=Hr!@3oG-8mSglN*flysBQkV%2q-Pm-4YTa(k&q%Qc4OV zU6M*k2_hj4O2g14-QC^Yc=q^v-|IT({PTTYAc8Z`v!8qKd)=`&YrT3wT62N=O<6y3 z`M^Yw)Z)1UVY0}q`%Y>W7(+Op?x)!)#TY{D>g5My++mFPzq0Z?WjL{}m9?yG#L{Lg z_wigu* z%?+24r_aZC`~%ABgdkMXU$oV64VE6mG}r?BSlzBx z)Z$e;1F#VbcIH|;AMeqapplgoKbfo@99!MJMHp{vOLE=#8{%gL_AKidvYKzu|64i= zsc^p$vOLLTS=Xuik&{eq^UhOaoYuM4 zp)nsHar;*oj)k5W@SJKx z9zF6M-LnbUem*%6N*Zi%%+H@XYiuv#P7AQ%^tF-PU*vcKSdLk<7q{CcnYtN>_?6f& zc~00lUY_G=^xcni8@bZ)Y1HZMZXbG05rRGlBpuyW{eH6b`2A%0!H9q-oVBi@czU7* ziQpACcDAJ6Nr=Ed5WvB*pxmA6EpEADIn$cSpB2=R{F#0I2(n7YUYw8dnG-HY=_xZp zNBbrsZ+~%e&9q6q+`{olB6K4f!i;4;f^dqFMU;}lAq+8mvB!T&NwQ@Z{6{NfLu;_) zd}zQdz0!Tgo2pp%BXi(6j$dtY8U%7N-LMrx(qzK_J~NMxEv@y(P^l1{ztCvnbTp7h zlabXNmQjbRs%!9-7E^;1w$F)oaLaT$;ZujrU${8hWBYN^L{M}0;+@x*DAC$_-d`S@ zcCZZZ`mOVt`o;CFqX0^|aYg(#=M-97whz2W|8LEe4k1L@Qz5dJXl9Oyk&En&c-!06 z5^(aJ;gogNxsPMg{<`tXjBHU$75DeT`1&iY|weP>`nyY0PPxAcWVFC*@B%>+C+1+!K1AM z`3Nng&kPH5G*Z>u`r~_B+9O>wQpsG8PySmF_;VO6%pxa1P*JXzFV>S9MmFdSkuOS0 zhK4Hz+x<}J!+c?)Qi#9Ooixd&sv;NM6E3+cl2y=7;&OKb&DPzP{U}>el4BTwM*Jzm zQu1dC&!M--$G9W)QAR5hZ7SIK`v74F{aw3ew2ZApSOOVvJ0ZjAZx<<6!3K*}p-WHe z+>Y=aIjqvI(sTq`1-{7n%#Qe}v!`&7{eY7Cd|2gaA6Sjwk9qVlm=cM=5tMRd3O@;4 zO~Rz))*ac_b|M8vbfnlh(#-hH-YLP#Vwu)a^8>S9YQhmNRn}%aWCxSGtWLMb=}-HT z*nX311)*F&N2k_?*uH>bzEZO|DF3C{wCQ1dRU}8m+x;tmZrmVUS})!5bv-W4?8Sx+ z)7&W5Cd=ucvAwe^r*Ffb#96-%PR@GK8u?CBJVMKOH2<9a?{iMVtW_})ai73#LET;7 zkk0??no%^jTBYIeGCd!zJ=%Jx>W)?A>&uxtPo@;{!9|VMr^FE@HbR6te-|<9I~f)C zDK)I|p!S7>PJyuPV7@+yJUzjq2&P^EmNe*>cz zSouQc{nWwKBp;p~-c~W7v=2bFY`&h+LF^A zPj~O8n?^2eAJYnN9+QAOA7^rldmkT$mGeMJr871I2PB`|KuJrdbh(OZ#C$%dJ7`t} z5cG5VM2(uMU0NLSWzNFF|3F7%R03>6OLX_E0nzqlQZGz>;yc+dRPtwn>2cUPaAycN z#>sXReTb&4<`49Q)oGrGOfM+d?=?2OfCf`a$D!tO1#E`L<$I^U$EwOJr|PBr1h-yc zUViIl6dI^C)TGP9d@~`cc$hP5JutT#*g>|D=Z-6fi`o-NV=>j2B|^<9^2RoXfEH!X z39`zt014lC(%rv)h^{fZ(|Wf2?MHj&#bafZ=%&T9#S?T)a*O0QFEdFVDZxz9r1KwS zR=9o{r~BHI{{=M>P&(Mf4MC)m?-&W+&oYJ7SOrsA8~C-cXOe!({)EfR(;fkt`DI7; zve@_&P&0O<4hCFXisE;Gd%qp1rG=lIxat0f>fNXK-c(l;S zygF)h?_u+E)Cf6?jlWsC&U-64M82f%Fp9B-9mi5XgVsW4 z7A9?IIH&o&VZv+|+%YtA#>W)R}c~SkDK2m!L6A0V`od%#Q zYfCNW?iiw@jNfX?2xe4B$1guswJt8!CfaB3tz|`g;`?ry>Mf0pv*l+KPMO$qQjq=` z?}rT%d^pGV{GSy|7S+MaIh&#vs^hr|u4ZXxuE)8b$YAb!1tne~-d7RS6y7nBqcsxR$VFG=Ij*lcv3U)rNJvWH(Y!ex^ z5rr45*CCQsI#gccmkK%PFIv#_w|po2zW-_BMi?I}a5nqE1C4*>Ks#^jCrZ=Lb_As5_I&?*+t-kWyFLLC=ntO znM`@R5RAX<_f+Z;Ep%9jWgPlJtdZaE%uKY|i&CP)sK4r+&UIe;V=F-4C*Xmg%fV9L zoWxIoCRFo*AY7_-KXj7*>EDbjYQ#6|KUj#5gji?;laryJKX+Or%s2?n>}ha?&pI@c zt1w|P-gDtrYWmE9GZY)a+n7Vo52fKMW=!Bo!SD9!sX8Y!72y(Y`q=#tuvsuN+y zq?L8zQ{uo>5#~JppOuq~?Tb?y7Hg7wBL2XrJHnF@Q}4+dG-LhIWKYcRpH|C5+2}&o zkNMeT6| z#D$)V4`%q!uErUfXnyX-v0;?&Z1b`j!j6qohb;`q{=L~<1nSuQK#tR)X7fi#hy6qe zw5zLYD7~((F1$*{kG_Iu<3b`-5>k?Qk|_D`8Nn6vz}rJio8ZXRNZo{vsK_GI82H!( zk1%ydlPyd*28Sh^X|h1^%~u@B*^_L>9jbWL++7n*TIJ%&reQuyuL9*r&TcG zL7N%NP6?eESd8@{MSt;q>OM{X$7P`jLce*yfyL$RUIFdc-o4nBY-nB!J5GjWkdu7BWy)PH2=#Nq zQ`3lVMOjpNp&0JB_c8l^K_MXVwJ`J}P!Nym?+chpO|iieNxbg=)kK8_Ul#&a%W7Mc z_OGWB79eU67S*BD)*at#4l3+04g(fFzZSiNulk;Z4!*LWg3;BPNzn&iPMBOG3=o)*cI0Y?fd?{ zMv9XHS6RY3r}qv20`H*#6cw6Pisl?6~Gfgjbjt#lZTVQ<=%6~ z-)h1DtrB|rAEuQjx^C>8HPIg&T%caeo@wdwvs2M<(Uldl9Eh=o3VC3WV+GZ6y9UX0 z>DOqn2N+C`1zykRB9d^LGE>hR3Oe5Y{t)=L`V9;vVv##NwPlXB$-691s~eRhrn%8m zVq(HbqtB2fD6)zaUfgi?sNuYRe-VV{mVE7>L0-aW()d~Nb25mdj#3f$7E17F!rFp? zi_2lxCMgI!s6x(jkw<)-6YmQM($jH8-dTPji!LUlK-Q4a6H_31=}4aPrd2hNEB3iP z-S#j8jGqM#vLJOv^M@&J`&IkS*Ox)o(z<6M7M;oh(hI`g*GJwdHYFCe@g$&pH0#f^ zLL=u9X2KqJDd5>e18V`}ElsYxlEY&VyOd=%LGl3-oR7u}PP-?nH?PkrD&7TBSLIu= z?oCwT;T5M){wAyJkK!bG2Z0+Db^4dGx^YQ9fPysPsmkMpMz@sa%lBk=+qcTZmU@n> z0mQ1^C7t1!I0?2{vu@?t<-eFbdPloE8rO5&;I$>rS;#5en zb86l^Tt5B4kHzzJ2@mp{#;#SHXqfm-%6F9Lv~@7bOi)}!avn`cn>&*8p$sfKB87~H zmh*ad8rGyJNnWkqZ)5kxgmaLAa597nzT-DtMfP>7{I?-1v1MqDJfzc zUi4Ugv+#lKr}K;7KB0kG2z<0uR+EgpUXKX<|IF} zSzu?`L-(&I6!LmX8;%}_Lpj!((Xnt6zVd^0ac$&+!HarguK!!R^hfF!vVpxLM((x< zMV)>rJxe0}RO17~k_1`^64M0nMwb3ch+@JJ{_J6XC?)GdIAXyjb#BziViAV;ifN0F z#q(sMmcSHo3Bb5sSI>#FANnf7Or_1k)#IirlLx)=ZjEC{c+_v0jQV0;T-#kypw?ag zH+sjm=;2larO>QTLGqVC%i(f_Q_9Lf@(IfO^g1|Q!x6eWOjm@H2o%+dZvvj(kKkp3 zobS&^wS|+ZM70^#gV`|$=go7AixuC!`*m_f_xD2a!ds%ipb`eOC*sn`qF4d^m@D=` zT|Hiq)QCGolT$Gj@1<$Mg?IK>Z1>vc(GKFKUhFhYdZt&h94fwtrEARB#) zxeW4-WzNaOu||(MiF_qrj5F~qmg=6H>Aas5r?=2nA- ztEY0Y(IMr*t%cNr(2e~u!KRCZ$XH0@=k%7TpIo7L4;Zd`6A9qqq?}8rZ%(+>Pyiz4 zyXp!E=FjQUDmJ4!!)J*;UO86>Nfn_hhM)c9{^7-NJ+vD*TgjNqqVAst9W`o&sTc9#lt!6 z$Mmkrr#$mw8KT_OYzU%?1mQ}rhSpG$11w-srPm_&*lF74mpUX!Kig!N@awSf2NMs#1l3*uA$j|oqP zizJmFmVTuR?~bqP*}BTVG52FYN^0va(v5PQ8fF7$0eRQrG0nt>G76Ob#lcZNQ#X%6 z8@J`2V;c7@e`V^Q<;#tYe4Ze6DsntYW`Kh)``c zD;A?aUg;lnNoV-G`pT1oD7 zK1y_WwLU8JVj5}!XBf6^ZDIeBX)KV*%|3~iifFPOve?xQ%(dTW?OC-xJR@62er7N4 z83_?klhvhZm2-6eI^U5e?gBJjwec^@X~V-GADlHEyBFh%zYt z6AbdN%4s#^q*ic0;iZ2HAq2jUs;~!PAxD=ISYR5=jcab6m1tbqp>S;)qeJOeadDRC zV4(rtd$E=x1_FGL)-zbu2Orn2AC~SPpghvl+Z{@y*|17M`)B%5!rI(o1iarLvJPgT zb_51|;%v(3RR7GxueV3=O2Rjnpkl0*_|)ZPIjm5P8?-A9ZVJmmuQdJS+px`u{R?cV z^z^1}oXIbsx{GO^1A9gv*M&DM$C*VZ3pUnuKU+3+C+UHDlwtJ*ig@PYqB*BE`?F|p z;Ac^(@j^xnZJ1tl*M#SHV`txS&a{xXy}fZmXeiKys~+dWPqBx|=nAcfZ%Xvwfm`9& z_o^5AmGZ0qh@>SrSAm{W9+sSIL&d$Pas(^~DJ%AqMiTN4-^S^pTfZB3sGw+Y#A@JR zO87+&Y=7>z7eAqKpoEyq4mFghLDF5|WkzP<68clzb zE$M7G+&ojkOrMeE2P-4%WB_`c-?OCE>UYb8CuZiZO)IVi24b3?DfVMoJmODeG&Ob= ziwVEgq=`M{$4G@s7S~hHH;9qBaVNs}d%1UnC0q;o>F5sy1ENv?LCC$#IM%*)l0h74 zx4zA@?Nhf&)ac{8(bDR~lLtQqymSWoZ0< z*$Ba$44zOTh5O zFQL+NRl5m$^R#8h^>M$&7l&8+s-7UPQS_6>Dv}*0U2^QWQ8_pd6Dg>EGC^qtR-Z^s z-BayPW-s>D`(4cXA5i+wgDp8|InMKiV?HIJEp%gNeepZ^k71?zFjq@ZzJ*9j->?p53L7`&`;mbv#l?mhrD+}~*8g!lc-)ymydW=V)my4D;IE%Dv+l1fgh zDVH}Z27X3{KOquUTD#Bk_4K(7-yjP(zP}R%pP2N%GON<=zypeRHf|oWOVSI7W9kT7XzpTcZ)fR} zjk;xFh<8NlB);C0ZrN#28=Z-QzO3C)E2iRC~PVl&Cf)xov80zoVV?Oit6a&E>(QW5-kZHlvKJeVwa70MWUI*4 zl&dB5Ec1Xb@3{X->q}7j=@9>5ON*;D+dB9~tqIw3hhbw#6LO;TKXgWUmrpHKEJ-iy zF^HBCqQw1lN%y{R@Y%?<$@CKM;1r31N?|yu$UZ0IPtt8qh8v%->f|Gz=rG32G%xx! zHx|mSpOp9hgDn3@O)}@@6%WI$QmfJoQj$;%>BAH@jAxH9dCDf9lLdG7)9BfMe?Z~Y zTA-P4jN!K=pGL%XkEamd@w*IhwaO1Il9bl6oCaE=*ECK2Q5?9QE|Af2fe8!+kBFMQ zaV zcqam{?_JY2F{oFbfi9{Q>OW!0Maz7tEx_xzk&i@X|42hQwq)L8YOB?$D_1TLtO@&t zn6y_fR@y_G)maao6Iq^865DC5=Q*W(E@vZUYb}e99#}TxqiRl5e}dtK`QGCuck|(^ zkd=(C^mQRvJ67pShM?{>-N?|j6?vlQ`qwHRbW${Q#J+yrv-e4ZI$h+n8GP#1oa&|~ zA7Ef2cTB({X8NmQWMnz5vjQ7*H;_?Bwa~-T<-#}>^A-SK_qs>L~Do<166WfbtoxLSjpVGgcF zuvEFCL_JLU=22Zr{1LJk$i3AcVQDlN^4=>G8!_h$S?w#R!hGk$l<{Z#MYvI%8c;q3 zojYliXk_K-is2QY6Eqr7_gUkwXf<3z6i}l|r&3Lrl;(4tg#>KqqeOd>&dFz5s_fBD}*j9&p9ZXlaXc@gDuLG&hZ| zVEK2iOb(o6k=mH?o{_LSLQYH#=I1c_{@{Ec^oH{iE9M{82E21tks@Te-`RQ?`Mbu< zm4ndlAaM$HdGfX<{I))}C=FusPno>mML2(=eh=8xGNhzZ)jNcvq8W8yf( z$F^S;x>PlUkGv{3whiS29S|3s_C<|1n31OuP2uk)s@sX&SLI@!GS~}yYC^(Dff0Qx0iR;Bl*z^mNIYGT>AFYrYLEwqkF7o+bl#UP~W-#^Gug1d7 z9kmH$RU|yRJ+1r{sl?4DldFGwQGtI<%*jH7?2&_dKYRS9J^=o4VCvm-l9Kmyh=D_9 z`5;thur~}gwiIRh|IEo{WnfwBTfULa3>02{mZHe$DKER)B%Ct@ji}pK86q?jz)G(E z#JeHcRXobm7w47KlarHvB;~fw_Jiw}DBm;=LvW!zXt8xz z7WAF+;~FCAlU-I%-qpm+5&6XXe%|Qro z$o>H@8Uf~kSg`$9Y=>gHuC)W+x3WrQdcK2_aUrmOclRUzsH&>ox{0Iq>H(hdgsYQg zdq!$F`RspdIE0`x#m@<}2j!_f6!B3%{+oU22q^$$ej}}m#u&T`-_}F{zJm`ZjQ=i3 zA0p)c-|O(@QvO3PdMw61(13FsFEY}t_vCkWc1Ac+3%s41+4cgh10Jt4d-6{Ts>x5V zsRSLUkKQ3M8+oY6LIEO@ss;p47OL0N!Z$BK->yLa*S&BuZUuQDF@KUpw+M6tBqVMQ zS{RHU{u@N=!DFi_M1f&7A-hgd#N~zL%_1Hf2S@9$x+E?nQQ!?F(6#rUzdNhcZScO- z;EV&%3WD+k1s}}R48lr=1wi=$ z_As>%XMVq#*3j3dJQP>RB2dV3%1u!C?`Gd4C@?{5Gb1w-g@l9z;`he*(W6HiMn<^w z8*{Vor{4@6p3k`80X|g!zZX$|5urq^2RFz4%bx`25Vz;^lGHuOg^cA_Wdp9`2!45A zx6Zxv2}Bl4XuQgKd3n+f4ttK=7P|CMAqdJx$kx`D zX{j#4X(l6O*rAe%n;VaxpT9)E(BHW)My+l)=}h!@Xyq-+VWsud{zfowP+ytC$I@(bbn ze_scnD!BU6eL^@>#Cn<+EWywjTa|?fNd^Ffxp2>8F#n<&zOW z)plv6D=y4J-@w3WyRfp^_E)o2`C^~wen87&RY>gyRsHTIQ1`{FT?gv88q|FHXLV*R z7=}KVt0lS|fFT$0ZrmuiyIZ-9x70iM=g*&|wxf@jnVIRCm{5VJ3B9+(eA|rjpVqQ< z`Eb&}*=4YouITi~X7U(^yAG~bZl%;4siLBC2xMDSilcsAPfz=F4AnoVV1Nqwx!<0S zA0klk7JzVR8<~ms$Jkgx4&X`8o;_=+uaGta#5XF^I0-GoDV-L#ZeJqB<#fJH={Zx+I14Z5H9O# z$VPGchcgP`Oc=%E;g&t|O`ERD9VcfrXVCv<~Kht!ja{qu5g7UQ>B3wYAeg#)1TS_aJ2J3ci%on%~W{kGxq z$H~m$at8(ErLnP3%u6A6i0M~>H?g#sDA4#XU)p?5f0`)u|EjFy%Np!7{&1?@PHq9X zjV&M(>*>B+G{?ZKe38o&m&fbeQ&ZRBp8XNLzu)ib{{|FOA^Q})UJkal=8%cLR8b0x z(htFv4zu0vY1X*7xI?_$bq6Tr`h|aX-Zu|mVE@I!d|z8z+s4L5V~1N0+rrYogjM;&xwxdH(4e58MZE)h#y#onxv*mX zCr^N<$sX3I<;W^4cjwms)3C-BoPjqt%cMwrpp?AqQZI2{RsNiiAd4TMS-UPp52w4` zP)wBcmH4Mn$NM3eijwk4BkGbJ6Gb6d<8BSdG{nTj^Z+rC)I73y;sLu%4cAqw+p zNR?G^#3vH~4$%IdsCZ5ELp?n*EG&%I!HCr#aI=j@YXpo_-yc1{dj zZvn&y_@q5;`xgS)w#vraH=FBAOXf&^YQP&U2WBCjL+^0}I~6&=v6dJnMPlIsi`1uH z@#}V^WMoMC6ChUCv^ku^3k()s{|BlCW(?5&ySlnA0IzMH`ej!NRGt@&$D#>dHxB2h z)43o=B7*=_GZjy;{P16Dk4;R30O4sf{m}ul@<|@cZsHV?clY%4^bXv`Y~H@rq2_ye z#an`m!;){ z{GUHNTIXY3DQWdROZn1SVKWj9t} z78n@#XVqD0UANR69UM^VnE>{fOcVE-0D)~1=(#^OG}!uL+FKuA`ISs`_@`EWN)2_)8aH zP-_S2&;*bbLktZMPhJ59Jqwlkq3JXLKW#pD$LZy_*XQLRv;1w@Ln>g_jP@SLlBukd zKlAdrSPY&7NQu0+sP_er7xIl`%E2({VG-Fc%m0JA@) zJSFT!Rem4NCaqiQze_IyB~B~A_Ky5HK=tykZySKs(9qz6%mF0sE-WzUclv>kP*^m*@(@Nh=!rzeF&hUbF7{1?Cy?@{EL)20Kf#YFaqihD8$%v^TC9@z~?Vt%)qjMK>VBF zfUK(@2*x0QhRMNk`d?~f@^^PE`Iksc9SU>_6}V2Q!stVI)xm*Efb@O<`@Odf=9|;+ zPFO2`{gM~E1NyQ;@3x3JNO3?48~yon05F@Yo7?iq=5W|C3p4Z6D3B;FItpoMY4Lr( zW&kZLwiU2X#JdLQ5kbDzl9TQe22yXV#=p1whr{W2#9rrnqhfQ5j;5egaR-W~&BiL~ z>U3MHpc=d{j6BsIf+G~!a&vji>wD)dcGStl#>R#K$Y{z#zHoj`(g6%cRor+d0@4H1 zU;0dG$6$nx)rP<<5I9mU6~w>Jo*t^9da$_e6W@apfw4^1x^W{#V0Y#l=|)FK-LH2m zofezXRlf@0B6D~cokRo(rcVR~TeeS^kQodpz<~IU|7@*WR(}3HOH0d(ao<~=k+Cu5 z^;37TDxkaKv@^krJah`4jcu=XU!waj6P9_aEDZEbENFj@h5@nT#U$&rkFySn($dg0 zpR3o%Y89X*GPPOjOT_^+gJ8*#gU$8kBBR=a0a-jC^X(u7P_{jaF6x0wJR5Zr_}lbo zr3)$c3yM!C00axA9kf&ppMbGiu{y{tTI!L7>tH)L>>GJ@_TGN34%9)QoEfxcQ~Ot3 w{(roS4NdibJ?>wt>Hp66kZ<|FcI6vieM~JC$LEH45b#GyUQMn@#?