commit 0f28b7f8dba5e639be2688a68e3e4f3bd8f59b2d Author: ModelHub XC Date: Tue Jun 16 20:33:45 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: sudipto-ducs/InLegalLLaMA Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..6762100 --- /dev/null +++ b/README.md @@ -0,0 +1,63 @@ +--- +license: llama2 +tags: +- llama-factory +- legal +base_model: meta-llama/Llama-2-7b-hf +model-index: +- name: inlegalllama-pt-15-04-2024 + results: [] +datasets: +- sudipto-ducs/InLegalLLaMA-data +language: +- en +pipeline_tag: text-generation +--- + + + +# InLegalLLaMA + +This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the inlegalllama-laws and the inlegalllama-sci datasets. + +## 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: +- learning_rate: 0.0003 +- train_batch_size: 2 +- eval_batch_size: 8 +- seed: 42 +- gradient_accumulation_steps: 8 +- total_train_batch_size: 16 +- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 +- lr_scheduler_type: cosine +- lr_scheduler_warmup_steps: 2000 +- num_epochs: 3.0 +- mixed_precision_training: Native AMP + +### Training results + + + +### Framework versions + +- PEFT 0.10.0 +- Transformers 4.39.0 +- Pytorch 2.2.1+cu121 +- Datasets 2.18.0 +- Tokenizers 0.15.2 \ No newline at end of file diff --git a/all_results.json b/all_results.json new file mode 100644 index 0000000..5c0a484 --- /dev/null +++ b/all_results.json @@ -0,0 +1,7 @@ +{ + "epoch": 3.0, + "train_loss": 0.8796718681596458, + "train_runtime": 1082714.0985, + "train_samples_per_second": 0.368, + "train_steps_per_second": 0.023 +} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..80987a3 --- /dev/null +++ b/config.json @@ -0,0 +1,28 @@ +{ + "_name_or_path": "meta-llama/Llama-2-7b-hf", + "architectures": [ + "LlamaForCausalLM" + ], + "attention_bias": false, + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 4096, + "initializer_range": 0.02, + "intermediate_size": 11008, + "max_position_embeddings": 4096, + "model_type": "llama", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 32, + "pretraining_tp": 1, + "rms_norm_eps": 1e-05, + "rope_scaling": null, + "rope_theta": 10000.0, + "tie_word_embeddings": false, + "torch_dtype": "float16", + "transformers_version": "4.39.0", + "use_cache": true, + "vocab_size": 32000 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..b034e6a --- /dev/null +++ b/generation_config.json @@ -0,0 +1,10 @@ +{ + "bos_token_id": 1, + "do_sample": true, + "eos_token_id": 2, + "max_length": 4096, + "pad_token_id": 0, + "temperature": 0.6, + "top_p": 0.9, + "transformers_version": "4.39.0" +} diff --git a/model-00001-of-00007.safetensors b/model-00001-of-00007.safetensors new file mode 100644 index 0000000..98d57d7 --- /dev/null +++ b/model-00001-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eed97c9468f91a7ff82836c9f9a009745a446b5641e48fa24a852559e5657361 +size 1981878760 diff --git a/model-00002-of-00007.safetensors b/model-00002-of-00007.safetensors new file mode 100644 index 0000000..5e724ad --- /dev/null +++ b/model-00002-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f1152c72a9ed08148f408f3410e9264392f75dff021028e9111304721218e50 +size 1990284200 diff --git a/model-00003-of-00007.safetensors b/model-00003-of-00007.safetensors new file mode 100644 index 0000000..99a3c25 --- /dev/null +++ b/model-00003-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e5323aadabc0be04f9ec6e3bff66711f4fa7975a9304d827c40e34b83c874fd +size 1990284232 diff --git a/model-00004-of-00007.safetensors b/model-00004-of-00007.safetensors new file mode 100644 index 0000000..fde38f4 --- /dev/null +++ b/model-00004-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc459088bfbf87534f5dab46140e9e132c2ee320505e8f4c2f661067fdb74ba2 +size 1990284240 diff --git a/model-00005-of-00007.safetensors b/model-00005-of-00007.safetensors new file mode 100644 index 0000000..a341dc2 --- /dev/null +++ b/model-00005-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:448f920388c2ba911ad051b6828b319d6c3da485c56d01d21431097f17f35e8c +size 1933644528 diff --git a/model-00006-of-00007.safetensors b/model-00006-of-00007.safetensors new file mode 100644 index 0000000..d788bc6 --- /dev/null +++ b/model-00006-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:33ce378d54b9e327314a93c97363b524aa22ec377737125456e411a1b2f1e71e +size 1933661136 diff --git a/model-00007-of-00007.safetensors b/model-00007-of-00007.safetensors new file mode 100644 index 0000000..04495ed --- /dev/null +++ b/model-00007-of-00007.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8ba1e6d5f8c687d52fa048bf2a04b96b5131f49c5d2c2d63d0a22f729f2773f +size 1656827576 diff --git a/model.safetensors.index.json b/model.safetensors.index.json new file mode 100644 index 0000000..0d017a8 --- /dev/null +++ b/model.safetensors.index.json @@ -0,0 +1,298 @@ +{ + "metadata": { + "total_size": 13476831232 + }, + "weight_map": { + "lm_head.weight": "model-00007-of-00007.safetensors", + "model.embed_tokens.weight": "model-00001-of-00007.safetensors", + "model.layers.0.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.mlp.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.mlp.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.10.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.mlp.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.mlp.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.mlp.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.mlp.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.k_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.13.self_attn.v_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.14.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.mlp.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.14.self_attn.q_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.mlp.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.mlp.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.mlp.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.input_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.18.mlp.down_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.mlp.gate_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.mlp.up_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.post_attention_layernorm.weight": "model-00004-of-00007.safetensors", + "model.layers.18.self_attn.k_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.self_attn.o_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.self_attn.q_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.18.self_attn.v_proj.weight": "model-00004-of-00007.safetensors", + "model.layers.19.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.mlp.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.2.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.mlp.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.20.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.mlp.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.mlp.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.input_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.22.mlp.down_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.mlp.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.mlp.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.post_attention_layernorm.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.k_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.22.self_attn.v_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.23.mlp.gate_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.mlp.up_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.23.self_attn.k_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.self_attn.o_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.self_attn.q_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.23.self_attn.v_proj.weight": "model-00005-of-00007.safetensors", + "model.layers.24.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.mlp.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.k_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.24.self_attn.v_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.mlp.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.mlp.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.input_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.27.mlp.down_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.mlp.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.mlp.up_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.post_attention_layernorm.weight": "model-00006-of-00007.safetensors", + "model.layers.27.self_attn.k_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.27.self_attn.v_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.28.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.28.mlp.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.28.mlp.gate_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.28.mlp.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.28.self_attn.k_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.28.self_attn.o_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.28.self_attn.q_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.28.self_attn.v_proj.weight": "model-00006-of-00007.safetensors", + "model.layers.29.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.29.mlp.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.mlp.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.mlp.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.29.self_attn.k_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.self_attn.o_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.29.self_attn.v_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.3.input_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.down_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.mlp.up_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.post_attention_layernorm.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.30.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.30.mlp.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.mlp.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.mlp.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.30.self_attn.k_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.self_attn.o_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.self_attn.q_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.30.self_attn.v_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.input_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.31.mlp.down_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.mlp.gate_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.mlp.up_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.post_attention_layernorm.weight": "model-00007-of-00007.safetensors", + "model.layers.31.self_attn.k_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.self_attn.o_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.self_attn.q_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.31.self_attn.v_proj.weight": "model-00007-of-00007.safetensors", + "model.layers.4.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.mlp.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.4.self_attn.k_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.4.self_attn.q_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.4.self_attn.v_proj.weight": "model-00001-of-00007.safetensors", + "model.layers.5.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.mlp.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.mlp.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.mlp.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.input_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.down_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.gate_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.mlp.up_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.post_attention_layernorm.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.9.input_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.down_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.mlp.up_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00007.safetensors", + "model.layers.9.self_attn.k_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00007.safetensors", + "model.layers.9.self_attn.q_proj.weight": "model-00002-of-00007.safetensors", + "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00007.safetensors", + "model.norm.weight": "model-00007-of-00007.safetensors" + } +} diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..72ecfee --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,24 @@ +{ + "bos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + }, + "pad_token": "", + "unk_token": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.model b/tokenizer.model new file mode 100644 index 0000000..6c00c74 --- /dev/null +++ b/tokenizer.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 +size 499723 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..f4cb2a4 --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,45 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "add_prefix_space": true, + "added_tokens_decoder": { + "0": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "1": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + }, + "2": { + "content": "", + "lstrip": false, + "normalized": false, + "rstrip": false, + "single_word": false, + "special": true + } + }, + "bos_token": "", + "chat_template": "{% if messages[0]['role'] == 'system' %}{% set system_message = messages[0]['content'] %}{% endif %}{% if system_message is defined %}{{ system_message + '\\n' }}{% endif %}{% for message in messages %}{% set content = message['content'] %}{% if message['role'] == 'user' %}{{ 'Human: ' + content + '\\nAssistant: ' }}{% elif message['role'] == 'assistant' %}{{ content + '' + '\\n' }}{% endif %}{% endfor %}", + "clean_up_tokenization_spaces": false, + "eos_token": "", + "legacy": false, + "model_max_length": 1000000000000000019884624838656, + "pad_token": "", + "padding_side": "left", + "sp_model_kwargs": {}, + "spaces_between_special_tokens": false, + "split_special_tokens": false, + "tokenizer_class": "LlamaTokenizer", + "unk_token": "", + "use_default_system_prompt": false +} diff --git a/train_results.json b/train_results.json new file mode 100644 index 0000000..5c0a484 --- /dev/null +++ b/train_results.json @@ -0,0 +1,7 @@ +{ + "epoch": 3.0, + "train_loss": 0.8796718681596458, + "train_runtime": 1082714.0985, + "train_samples_per_second": 0.368, + "train_steps_per_second": 0.023 +} \ No newline at end of file diff --git a/trainer_log.jsonl b/trainer_log.jsonl new file mode 100644 index 0000000..6b8fc0f --- /dev/null +++ b/trainer_log.jsonl @@ -0,0 +1,4980 @@ +{"current_steps": 5, "total_steps": 24897, "loss": 1.0918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.499999999999999e-07, "epoch": 0.0, "percentage": 0.02, "elapsed_time": "0:03:42", "remaining_time": "12 days, 19:23:27"} +{"current_steps": 10, "total_steps": 24897, "loss": 1.1945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4999999999999998e-06, "epoch": 0.0, "percentage": 0.04, "elapsed_time": "0:07:25", "remaining_time": "12 days, 19:47:07"} +{"current_steps": 15, "total_steps": 24897, "loss": 1.1409, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2499999999999996e-06, "epoch": 0.0, "percentage": 0.06, "elapsed_time": "0:11:08", "remaining_time": "12 days, 19:52:18"} +{"current_steps": 20, "total_steps": 24897, "loss": 1.2207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9999999999999997e-06, "epoch": 0.0, "percentage": 0.08, "elapsed_time": "0:14:50", "remaining_time": "12 days, 19:37:02"} +{"current_steps": 25, "total_steps": 24897, "loss": 1.1945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7499999999999997e-06, "epoch": 0.0, "percentage": 0.1, "elapsed_time": "0:18:32", "remaining_time": "12 days, 19:19:01"} +{"current_steps": 30, "total_steps": 24897, "loss": 1.1097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.499999999999999e-06, "epoch": 0.0, "percentage": 0.12, "elapsed_time": "0:22:15", "remaining_time": "12 days, 19:23:12"} +{"current_steps": 35, "total_steps": 24897, "loss": 1.1413, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.25e-06, "epoch": 0.0, "percentage": 0.14, "elapsed_time": "0:25:58", "remaining_time": "12 days, 19:31:25"} +{"current_steps": 40, "total_steps": 24897, "loss": 1.0751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.999999999999999e-06, "epoch": 0.0, "percentage": 0.16, "elapsed_time": "0:29:41", "remaining_time": "12 days, 19:29:22"} +{"current_steps": 45, "total_steps": 24897, "loss": 1.1048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.749999999999999e-06, "epoch": 0.01, "percentage": 0.18, "elapsed_time": "0:33:24", "remaining_time": "12 days, 19:27:40"} +{"current_steps": 50, "total_steps": 24897, "loss": 1.1369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.499999999999999e-06, "epoch": 0.01, "percentage": 0.2, "elapsed_time": "0:37:07", "remaining_time": "12 days, 19:25:39"} +{"current_steps": 55, "total_steps": 24897, "loss": 1.1332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.249999999999999e-06, "epoch": 0.01, "percentage": 0.22, "elapsed_time": "0:40:49", "remaining_time": "12 days, 19:20:48"} +{"current_steps": 60, "total_steps": 24897, "loss": 1.2094, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.999999999999999e-06, "epoch": 0.01, "percentage": 0.24, "elapsed_time": "0:44:32", "remaining_time": "12 days, 19:15:37"} +{"current_steps": 65, "total_steps": 24897, "loss": 1.1344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.75e-06, "epoch": 0.01, "percentage": 0.26, "elapsed_time": "0:48:15", "remaining_time": "12 days, 19:18:47"} +{"current_steps": 70, "total_steps": 24897, "loss": 1.0817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.05e-05, "epoch": 0.01, "percentage": 0.28, "elapsed_time": "0:51:59", "remaining_time": "12 days, 19:17:18"} +{"current_steps": 75, "total_steps": 24897, "loss": 1.0898, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1249999999999999e-05, "epoch": 0.01, "percentage": 0.3, "elapsed_time": "0:55:40", "remaining_time": "12 days, 19:08:55"} +{"current_steps": 80, "total_steps": 24897, "loss": 1.1173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1999999999999999e-05, "epoch": 0.01, "percentage": 0.32, "elapsed_time": "0:59:24", "remaining_time": "12 days, 19:08:10"} +{"current_steps": 85, "total_steps": 24897, "loss": 1.1268, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.275e-05, "epoch": 0.01, "percentage": 0.34, "elapsed_time": "1:03:08", "remaining_time": "12 days, 19:10:10"} +{"current_steps": 90, "total_steps": 24897, "loss": 1.1928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3499999999999998e-05, "epoch": 0.01, "percentage": 0.36, "elapsed_time": "1:06:51", "remaining_time": "12 days, 19:08:48"} +{"current_steps": 95, "total_steps": 24897, "loss": 1.1179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4249999999999999e-05, "epoch": 0.01, "percentage": 0.38, "elapsed_time": "1:10:33", "remaining_time": "12 days, 19:01:56"} +{"current_steps": 100, "total_steps": 24897, "loss": 1.1478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4999999999999999e-05, "epoch": 0.01, "percentage": 0.4, "elapsed_time": "1:14:15", "remaining_time": "12 days, 18:53:59"} +{"current_steps": 105, "total_steps": 24897, "loss": 1.0813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5749999999999997e-05, "epoch": 0.01, "percentage": 0.42, "elapsed_time": "1:17:58", "remaining_time": "12 days, 18:52:57"} +{"current_steps": 110, "total_steps": 24897, "loss": 1.096, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6499999999999998e-05, "epoch": 0.01, "percentage": 0.44, "elapsed_time": "1:21:41", "remaining_time": "12 days, 18:48:23"} +{"current_steps": 115, "total_steps": 24897, "loss": 1.1418, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.725e-05, "epoch": 0.01, "percentage": 0.46, "elapsed_time": "1:25:24", "remaining_time": "12 days, 18:46:24"} +{"current_steps": 120, "total_steps": 24897, "loss": 1.1351, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7999999999999997e-05, "epoch": 0.01, "percentage": 0.48, "elapsed_time": "1:29:08", "remaining_time": "12 days, 18:46:59"} +{"current_steps": 125, "total_steps": 24897, "loss": 1.0959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.875e-05, "epoch": 0.02, "percentage": 0.5, "elapsed_time": "1:32:53", "remaining_time": "12 days, 18:47:22"} +{"current_steps": 130, "total_steps": 24897, "loss": 1.1869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.95e-05, "epoch": 0.02, "percentage": 0.52, "elapsed_time": "1:36:37", "remaining_time": "12 days, 18:47:32"} +{"current_steps": 135, "total_steps": 24897, "loss": 1.1436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.025e-05, "epoch": 0.02, "percentage": 0.54, "elapsed_time": "1:40:20", "remaining_time": "12 days, 18:45:51"} +{"current_steps": 140, "total_steps": 24897, "loss": 1.1444, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1e-05, "epoch": 0.02, "percentage": 0.56, "elapsed_time": "1:44:04", "remaining_time": "12 days, 18:44:01"} +{"current_steps": 145, "total_steps": 24897, "loss": 1.0762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1749999999999997e-05, "epoch": 0.02, "percentage": 0.58, "elapsed_time": "1:47:48", "remaining_time": "12 days, 18:42:17"} +{"current_steps": 150, "total_steps": 24897, "loss": 1.0269, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2499999999999998e-05, "epoch": 0.02, "percentage": 0.6, "elapsed_time": "1:51:31", "remaining_time": "12 days, 18:38:21"} +{"current_steps": 155, "total_steps": 24897, "loss": 1.1535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.325e-05, "epoch": 0.02, "percentage": 0.62, "elapsed_time": "1:55:13", "remaining_time": "12 days, 18:31:55"} +{"current_steps": 160, "total_steps": 24897, "loss": 1.1705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3999999999999997e-05, "epoch": 0.02, "percentage": 0.64, "elapsed_time": "1:58:55", "remaining_time": "12 days, 18:26:47"} +{"current_steps": 165, "total_steps": 24897, "loss": 1.1406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.475e-05, "epoch": 0.02, "percentage": 0.66, "elapsed_time": "2:02:38", "remaining_time": "12 days, 18:23:43"} +{"current_steps": 170, "total_steps": 24897, "loss": 1.0874, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.55e-05, "epoch": 0.02, "percentage": 0.68, "elapsed_time": "2:06:22", "remaining_time": "12 days, 18:22:39"} +{"current_steps": 175, "total_steps": 24897, "loss": 1.1317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6249999999999998e-05, "epoch": 0.02, "percentage": 0.7, "elapsed_time": "2:10:07", "remaining_time": "12 days, 18:21:43"} +{"current_steps": 180, "total_steps": 24897, "loss": 1.102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6999999999999996e-05, "epoch": 0.02, "percentage": 0.72, "elapsed_time": "2:13:50", "remaining_time": "12 days, 18:18:59"} +{"current_steps": 185, "total_steps": 24897, "loss": 1.0387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7749999999999997e-05, "epoch": 0.02, "percentage": 0.74, "elapsed_time": "2:17:33", "remaining_time": "12 days, 18:15:04"} +{"current_steps": 190, "total_steps": 24897, "loss": 1.1082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8499999999999998e-05, "epoch": 0.02, "percentage": 0.76, "elapsed_time": "2:21:17", "remaining_time": "12 days, 18:13:03"} +{"current_steps": 195, "total_steps": 24897, "loss": 1.082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.925e-05, "epoch": 0.02, "percentage": 0.78, "elapsed_time": "2:25:00", "remaining_time": "12 days, 18:08:49"} +{"current_steps": 200, "total_steps": 24897, "loss": 1.2066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9999999999999997e-05, "epoch": 0.02, "percentage": 0.8, "elapsed_time": "2:28:44", "remaining_time": "12 days, 18:07:18"} +{"current_steps": 205, "total_steps": 24897, "loss": 1.1404, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0749999999999995e-05, "epoch": 0.02, "percentage": 0.82, "elapsed_time": "2:32:35", "remaining_time": "12 days, 18:19:01"} +{"current_steps": 210, "total_steps": 24897, "loss": 1.0513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.149999999999999e-05, "epoch": 0.03, "percentage": 0.84, "elapsed_time": "2:36:18", "remaining_time": "12 days, 18:14:43"} +{"current_steps": 215, "total_steps": 24897, "loss": 1.0785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.225e-05, "epoch": 0.03, "percentage": 0.86, "elapsed_time": "2:40:01", "remaining_time": "12 days, 18:10:20"} +{"current_steps": 220, "total_steps": 24897, "loss": 1.121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2999999999999996e-05, "epoch": 0.03, "percentage": 0.88, "elapsed_time": "2:43:44", "remaining_time": "12 days, 18:06:34"} +{"current_steps": 225, "total_steps": 24897, "loss": 1.1, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.375e-05, "epoch": 0.03, "percentage": 0.9, "elapsed_time": "2:47:27", "remaining_time": "12 days, 18:02:09"} +{"current_steps": 230, "total_steps": 24897, "loss": 1.1415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.45e-05, "epoch": 0.03, "percentage": 0.92, "elapsed_time": "2:51:11", "remaining_time": "12 days, 17:59:31"} +{"current_steps": 235, "total_steps": 24897, "loss": 1.1337, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5249999999999996e-05, "epoch": 0.03, "percentage": 0.94, "elapsed_time": "2:54:55", "remaining_time": "12 days, 17:57:26"} +{"current_steps": 240, "total_steps": 24897, "loss": 1.1736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5999999999999994e-05, "epoch": 0.03, "percentage": 0.96, "elapsed_time": "2:58:39", "remaining_time": "12 days, 17:54:17"} +{"current_steps": 245, "total_steps": 24897, "loss": 1.0822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.675e-05, "epoch": 0.03, "percentage": 0.98, "elapsed_time": "3:02:22", "remaining_time": "12 days, 17:50:51"} +{"current_steps": 250, "total_steps": 24897, "loss": 1.0864, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.75e-05, "epoch": 0.03, "percentage": 1.0, "elapsed_time": "3:06:05", "remaining_time": "12 days, 17:47:03"} +{"current_steps": 255, "total_steps": 24897, "loss": 1.114, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8249999999999995e-05, "epoch": 0.03, "percentage": 1.02, "elapsed_time": "3:09:15", "remaining_time": "12 days, 16:48:31"} +{"current_steps": 260, "total_steps": 24897, "loss": 1.1041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9e-05, "epoch": 0.03, "percentage": 1.04, "elapsed_time": "3:12:16", "remaining_time": "12 days, 15:39:19"} +{"current_steps": 265, "total_steps": 24897, "loss": 1.1015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.975e-05, "epoch": 0.03, "percentage": 1.06, "elapsed_time": "3:15:15", "remaining_time": "12 days, 14:29:17"} +{"current_steps": 270, "total_steps": 24897, "loss": 1.1041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.05e-05, "epoch": 0.03, "percentage": 1.08, "elapsed_time": "3:18:07", "remaining_time": "12 days, 13:10:27"} +{"current_steps": 275, "total_steps": 24897, "loss": 1.1905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.125e-05, "epoch": 0.03, "percentage": 1.1, "elapsed_time": "3:20:56", "remaining_time": "12 days, 11:51:38"} +{"current_steps": 280, "total_steps": 24897, "loss": 1.0554, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2e-05, "epoch": 0.03, "percentage": 1.12, "elapsed_time": "3:23:45", "remaining_time": "12 days, 10:34:27"} +{"current_steps": 285, "total_steps": 24897, "loss": 1.1595, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2749999999999996e-05, "epoch": 0.03, "percentage": 1.14, "elapsed_time": "3:26:34", "remaining_time": "12 days, 9:19:06"} +{"current_steps": 290, "total_steps": 24897, "loss": 1.0993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3499999999999993e-05, "epoch": 0.03, "percentage": 1.16, "elapsed_time": "3:29:23", "remaining_time": "12 days, 8:06:49"} +{"current_steps": 295, "total_steps": 24897, "loss": 1.1154, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.424999999999999e-05, "epoch": 0.04, "percentage": 1.18, "elapsed_time": "3:32:11", "remaining_time": "12 days, 6:56:19"} +{"current_steps": 300, "total_steps": 24897, "loss": 1.1181, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4999999999999996e-05, "epoch": 0.04, "percentage": 1.2, "elapsed_time": "3:35:00", "remaining_time": "12 days, 5:48:14"} +{"current_steps": 305, "total_steps": 24897, "loss": 1.1708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5749999999999994e-05, "epoch": 0.04, "percentage": 1.23, "elapsed_time": "3:37:54", "remaining_time": "12 days, 4:49:20"} +{"current_steps": 310, "total_steps": 24897, "loss": 1.0517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.65e-05, "epoch": 0.04, "percentage": 1.25, "elapsed_time": "3:40:42", "remaining_time": "12 days, 3:45:39"} +{"current_steps": 315, "total_steps": 24897, "loss": 1.0883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.7249999999999997e-05, "epoch": 0.04, "percentage": 1.27, "elapsed_time": "3:43:31", "remaining_time": "12 days, 2:43:27"} +{"current_steps": 320, "total_steps": 24897, "loss": 1.166, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.7999999999999994e-05, "epoch": 0.04, "percentage": 1.29, "elapsed_time": "3:46:19", "remaining_time": "12 days, 1:42:52"} +{"current_steps": 325, "total_steps": 24897, "loss": 1.0838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.875e-05, "epoch": 0.04, "percentage": 1.31, "elapsed_time": "3:49:08", "remaining_time": "12 days, 0:44:18"} +{"current_steps": 330, "total_steps": 24897, "loss": 1.076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.95e-05, "epoch": 0.04, "percentage": 1.33, "elapsed_time": "3:51:56", "remaining_time": "11 days, 23:47:17"} +{"current_steps": 335, "total_steps": 24897, "loss": 1.1465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.025e-05, "epoch": 0.04, "percentage": 1.35, "elapsed_time": "3:54:45", "remaining_time": "11 days, 22:51:46"} +{"current_steps": 340, "total_steps": 24897, "loss": 0.9944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1e-05, "epoch": 0.04, "percentage": 1.37, "elapsed_time": "3:57:47", "remaining_time": "11 days, 22:14:49"} +{"current_steps": 345, "total_steps": 24897, "loss": 1.142, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.174999999999999e-05, "epoch": 0.04, "percentage": 1.39, "elapsed_time": "4:01:30", "remaining_time": "11 days, 22:26:34"} +{"current_steps": 350, "total_steps": 24897, "loss": 1.1545, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2499999999999995e-05, "epoch": 0.04, "percentage": 1.41, "elapsed_time": "4:05:14", "remaining_time": "11 days, 22:39:17"} +{"current_steps": 355, "total_steps": 24897, "loss": 1.1135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.324999999999999e-05, "epoch": 0.04, "percentage": 1.43, "elapsed_time": "4:08:57", "remaining_time": "11 days, 22:51:00"} +{"current_steps": 360, "total_steps": 24897, "loss": 1.1143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.399999999999999e-05, "epoch": 0.04, "percentage": 1.45, "elapsed_time": "4:12:41", "remaining_time": "11 days, 23:03:04"} +{"current_steps": 365, "total_steps": 24897, "loss": 1.0995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.4749999999999996e-05, "epoch": 0.04, "percentage": 1.47, "elapsed_time": "4:16:25", "remaining_time": "11 days, 23:14:02"} +{"current_steps": 370, "total_steps": 24897, "loss": 1.0377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5499999999999994e-05, "epoch": 0.04, "percentage": 1.49, "elapsed_time": "4:20:08", "remaining_time": "11 days, 23:24:30"} +{"current_steps": 375, "total_steps": 24897, "loss": 1.1654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.625e-05, "epoch": 0.05, "percentage": 1.51, "elapsed_time": "4:23:52", "remaining_time": "11 days, 23:35:32"} +{"current_steps": 380, "total_steps": 24897, "loss": 1.0393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6999999999999996e-05, "epoch": 0.05, "percentage": 1.53, "elapsed_time": "4:27:35", "remaining_time": "11 days, 23:44:52"} +{"current_steps": 385, "total_steps": 24897, "loss": 1.1712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.7749999999999994e-05, "epoch": 0.05, "percentage": 1.55, "elapsed_time": "4:31:19", "remaining_time": "11 days, 23:54:12"} +{"current_steps": 390, "total_steps": 24897, "loss": 1.0294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.85e-05, "epoch": 0.05, "percentage": 1.57, "elapsed_time": "4:35:03", "remaining_time": "12 days, 0:03:52"} +{"current_steps": 395, "total_steps": 24897, "loss": 1.1678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.925e-05, "epoch": 0.05, "percentage": 1.59, "elapsed_time": "4:38:47", "remaining_time": "12 days, 0:13:48"} +{"current_steps": 400, "total_steps": 24897, "loss": 1.0829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9999999999999995e-05, "epoch": 0.05, "percentage": 1.61, "elapsed_time": "4:42:31", "remaining_time": "12 days, 0:22:44"} +{"current_steps": 405, "total_steps": 24897, "loss": 1.173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.075e-05, "epoch": 0.05, "percentage": 1.63, "elapsed_time": "4:46:17", "remaining_time": "12 days, 0:33:07"} +{"current_steps": 410, "total_steps": 24897, "loss": 1.0446, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.149999999999999e-05, "epoch": 0.05, "percentage": 1.65, "elapsed_time": "4:50:02", "remaining_time": "12 days, 0:42:07"} +{"current_steps": 415, "total_steps": 24897, "loss": 1.1222, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.225e-05, "epoch": 0.05, "percentage": 1.67, "elapsed_time": "4:53:46", "remaining_time": "12 days, 0:50:07"} +{"current_steps": 420, "total_steps": 24897, "loss": 1.0266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.299999999999999e-05, "epoch": 0.05, "percentage": 1.69, "elapsed_time": "4:57:29", "remaining_time": "12 days, 0:56:59"} +{"current_steps": 425, "total_steps": 24897, "loss": 1.0773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.374999999999999e-05, "epoch": 0.05, "percentage": 1.71, "elapsed_time": "5:01:13", "remaining_time": "12 days, 1:04:54"} +{"current_steps": 430, "total_steps": 24897, "loss": 1.0808, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.45e-05, "epoch": 0.05, "percentage": 1.73, "elapsed_time": "5:04:57", "remaining_time": "12 days, 1:11:39"} +{"current_steps": 435, "total_steps": 24897, "loss": 1.1356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.525e-05, "epoch": 0.05, "percentage": 1.75, "elapsed_time": "5:08:40", "remaining_time": "12 days, 1:18:11"} +{"current_steps": 440, "total_steps": 24897, "loss": 1.0592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.599999999999999e-05, "epoch": 0.05, "percentage": 1.77, "elapsed_time": "5:12:25", "remaining_time": "12 days, 1:25:34"} +{"current_steps": 445, "total_steps": 24897, "loss": 1.1103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.675e-05, "epoch": 0.05, "percentage": 1.79, "elapsed_time": "5:16:09", "remaining_time": "12 days, 1:32:44"} +{"current_steps": 450, "total_steps": 24897, "loss": 1.0912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.75e-05, "epoch": 0.05, "percentage": 1.81, "elapsed_time": "5:19:54", "remaining_time": "12 days, 1:39:45"} +{"current_steps": 455, "total_steps": 24897, "loss": 1.0549, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.824999999999999e-05, "epoch": 0.05, "percentage": 1.83, "elapsed_time": "5:23:39", "remaining_time": "12 days, 1:46:14"} +{"current_steps": 460, "total_steps": 24897, "loss": 1.0997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.9e-05, "epoch": 0.06, "percentage": 1.85, "elapsed_time": "5:27:22", "remaining_time": "12 days, 1:51:48"} +{"current_steps": 465, "total_steps": 24897, "loss": 1.1559, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.975e-05, "epoch": 0.06, "percentage": 1.87, "elapsed_time": "5:31:05", "remaining_time": "12 days, 1:56:14"} +{"current_steps": 470, "total_steps": 24897, "loss": 1.1352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.049999999999999e-05, "epoch": 0.06, "percentage": 1.89, "elapsed_time": "5:34:49", "remaining_time": "12 days, 2:01:20"} +{"current_steps": 475, "total_steps": 24897, "loss": 1.1114, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.125e-05, "epoch": 0.06, "percentage": 1.91, "elapsed_time": "5:38:33", "remaining_time": "12 days, 2:06:43"} +{"current_steps": 480, "total_steps": 24897, "loss": 1.1121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.199999999999999e-05, "epoch": 0.06, "percentage": 1.93, "elapsed_time": "5:42:17", "remaining_time": "12 days, 2:11:37"} +{"current_steps": 485, "total_steps": 24897, "loss": 1.1471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.274999999999999e-05, "epoch": 0.06, "percentage": 1.95, "elapsed_time": "5:46:00", "remaining_time": "12 days, 2:16:20"} +{"current_steps": 490, "total_steps": 24897, "loss": 1.1812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.35e-05, "epoch": 0.06, "percentage": 1.97, "elapsed_time": "5:49:44", "remaining_time": "12 days, 2:21:00"} +{"current_steps": 495, "total_steps": 24897, "loss": 1.0183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.424999999999999e-05, "epoch": 0.06, "percentage": 1.99, "elapsed_time": "5:53:29", "remaining_time": "12 days, 2:25:52"} +{"current_steps": 500, "total_steps": 24897, "loss": 1.1351, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.5e-05, "epoch": 0.06, "percentage": 2.01, "elapsed_time": "5:57:13", "remaining_time": "12 days, 2:30:07"} +{"current_steps": 505, "total_steps": 24897, "loss": 1.0175, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.575e-05, "epoch": 0.06, "percentage": 2.03, "elapsed_time": "6:01:02", "remaining_time": "12 days, 2:38:16"} +{"current_steps": 510, "total_steps": 24897, "loss": 1.0918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.649999999999999e-05, "epoch": 0.06, "percentage": 2.05, "elapsed_time": "6:04:45", "remaining_time": "12 days, 2:41:57"} +{"current_steps": 515, "total_steps": 24897, "loss": 1.2125, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.725e-05, "epoch": 0.06, "percentage": 2.07, "elapsed_time": "6:08:30", "remaining_time": "12 days, 2:46:24"} +{"current_steps": 520, "total_steps": 24897, "loss": 1.0959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.8e-05, "epoch": 0.06, "percentage": 2.09, "elapsed_time": "6:12:14", "remaining_time": "12 days, 2:50:01"} +{"current_steps": 525, "total_steps": 24897, "loss": 1.1083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.874999999999999e-05, "epoch": 0.06, "percentage": 2.11, "elapsed_time": "6:15:58", "remaining_time": "12 days, 2:53:58"} +{"current_steps": 530, "total_steps": 24897, "loss": 1.0968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.95e-05, "epoch": 0.06, "percentage": 2.13, "elapsed_time": "6:19:42", "remaining_time": "12 days, 2:56:56"} +{"current_steps": 535, "total_steps": 24897, "loss": 1.1039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.025e-05, "epoch": 0.06, "percentage": 2.15, "elapsed_time": "6:23:25", "remaining_time": "12 days, 3:00:05"} +{"current_steps": 540, "total_steps": 24897, "loss": 1.0558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.1e-05, "epoch": 0.07, "percentage": 2.17, "elapsed_time": "6:27:09", "remaining_time": "12 days, 3:03:17"} +{"current_steps": 545, "total_steps": 24897, "loss": 1.0635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.175e-05, "epoch": 0.07, "percentage": 2.19, "elapsed_time": "6:30:54", "remaining_time": "12 days, 3:06:47"} +{"current_steps": 550, "total_steps": 24897, "loss": 1.042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.25e-05, "epoch": 0.07, "percentage": 2.21, "elapsed_time": "6:34:39", "remaining_time": "12 days, 3:10:20"} +{"current_steps": 555, "total_steps": 24897, "loss": 1.1299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.325e-05, "epoch": 0.07, "percentage": 2.23, "elapsed_time": "6:38:24", "remaining_time": "12 days, 3:13:45"} +{"current_steps": 560, "total_steps": 24897, "loss": 1.0587, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.4e-05, "epoch": 0.07, "percentage": 2.25, "elapsed_time": "6:42:09", "remaining_time": "12 days, 3:17:13"} +{"current_steps": 565, "total_steps": 24897, "loss": 1.0773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.474999999999999e-05, "epoch": 0.07, "percentage": 2.27, "elapsed_time": "6:45:53", "remaining_time": "12 days, 3:19:55"} +{"current_steps": 570, "total_steps": 24897, "loss": 1.066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.549999999999999e-05, "epoch": 0.07, "percentage": 2.29, "elapsed_time": "6:49:37", "remaining_time": "12 days, 3:22:22"} +{"current_steps": 575, "total_steps": 24897, "loss": 1.0786, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.624999999999998e-05, "epoch": 0.07, "percentage": 2.31, "elapsed_time": "6:53:21", "remaining_time": "12 days, 3:24:54"} +{"current_steps": 580, "total_steps": 24897, "loss": 1.1208, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.699999999999999e-05, "epoch": 0.07, "percentage": 2.33, "elapsed_time": "6:57:05", "remaining_time": "12 days, 3:27:16"} +{"current_steps": 585, "total_steps": 24897, "loss": 1.0754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.774999999999999e-05, "epoch": 0.07, "percentage": 2.35, "elapsed_time": "7:00:49", "remaining_time": "12 days, 3:29:17"} +{"current_steps": 590, "total_steps": 24897, "loss": 1.1275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.849999999999998e-05, "epoch": 0.07, "percentage": 2.37, "elapsed_time": "7:04:33", "remaining_time": "12 days, 3:31:18"} +{"current_steps": 595, "total_steps": 24897, "loss": 1.112, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.924999999999999e-05, "epoch": 0.07, "percentage": 2.39, "elapsed_time": "7:08:18", "remaining_time": "12 days, 3:33:30"} +{"current_steps": 600, "total_steps": 24897, "loss": 1.1171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.999999999999999e-05, "epoch": 0.07, "percentage": 2.41, "elapsed_time": "7:12:01", "remaining_time": "12 days, 3:34:57"} +{"current_steps": 605, "total_steps": 24897, "loss": 1.119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.074999999999998e-05, "epoch": 0.07, "percentage": 2.43, "elapsed_time": "7:15:48", "remaining_time": "12 days, 3:38:36"} +{"current_steps": 610, "total_steps": 24897, "loss": 1.059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.149999999999999e-05, "epoch": 0.07, "percentage": 2.45, "elapsed_time": "7:19:32", "remaining_time": "12 days, 3:40:22"} +{"current_steps": 615, "total_steps": 24897, "loss": 1.093, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.224999999999999e-05, "epoch": 0.07, "percentage": 2.47, "elapsed_time": "7:23:16", "remaining_time": "12 days, 3:41:53"} +{"current_steps": 620, "total_steps": 24897, "loss": 1.1074, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.3e-05, "epoch": 0.07, "percentage": 2.49, "elapsed_time": "7:27:00", "remaining_time": "12 days, 3:43:33"} +{"current_steps": 625, "total_steps": 24897, "loss": 1.0373, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.374999999999999e-05, "epoch": 0.08, "percentage": 2.51, "elapsed_time": "7:30:45", "remaining_time": "12 days, 3:45:28"} +{"current_steps": 630, "total_steps": 24897, "loss": 1.0127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.449999999999999e-05, "epoch": 0.08, "percentage": 2.53, "elapsed_time": "7:34:31", "remaining_time": "12 days, 3:48:02"} +{"current_steps": 635, "total_steps": 24897, "loss": 1.0549, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.525e-05, "epoch": 0.08, "percentage": 2.55, "elapsed_time": "7:38:16", "remaining_time": "12 days, 3:49:43"} +{"current_steps": 640, "total_steps": 24897, "loss": 1.0051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.599999999999999e-05, "epoch": 0.08, "percentage": 2.57, "elapsed_time": "7:42:00", "remaining_time": "12 days, 3:50:37"} +{"current_steps": 645, "total_steps": 24897, "loss": 1.1092, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.675e-05, "epoch": 0.08, "percentage": 2.59, "elapsed_time": "7:45:44", "remaining_time": "12 days, 3:51:37"} +{"current_steps": 650, "total_steps": 24897, "loss": 1.1019, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.75e-05, "epoch": 0.08, "percentage": 2.61, "elapsed_time": "7:49:29", "remaining_time": "12 days, 3:53:24"} +{"current_steps": 655, "total_steps": 24897, "loss": 1.0963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.824999999999999e-05, "epoch": 0.08, "percentage": 2.63, "elapsed_time": "7:53:14", "remaining_time": "12 days, 3:55:03"} +{"current_steps": 660, "total_steps": 24897, "loss": 1.1604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.9e-05, "epoch": 0.08, "percentage": 2.65, "elapsed_time": "7:57:00", "remaining_time": "12 days, 3:56:55"} +{"current_steps": 665, "total_steps": 24897, "loss": 1.0636, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.975e-05, "epoch": 0.08, "percentage": 2.67, "elapsed_time": "8:00:46", "remaining_time": "12 days, 3:59:02"} +{"current_steps": 670, "total_steps": 24897, "loss": 1.1046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001005, "epoch": 0.08, "percentage": 2.69, "elapsed_time": "8:04:31", "remaining_time": "12 days, 4:00:19"} +{"current_steps": 675, "total_steps": 24897, "loss": 1.0016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010125, "epoch": 0.08, "percentage": 2.71, "elapsed_time": "8:08:15", "remaining_time": "12 days, 4:00:38"} +{"current_steps": 680, "total_steps": 24897, "loss": 1.108, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000102, "epoch": 0.08, "percentage": 2.73, "elapsed_time": "8:11:58", "remaining_time": "12 days, 4:00:36"} +{"current_steps": 685, "total_steps": 24897, "loss": 1.1411, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010275, "epoch": 0.08, "percentage": 2.75, "elapsed_time": "8:15:41", "remaining_time": "12 days, 4:00:51"} +{"current_steps": 690, "total_steps": 24897, "loss": 1.094, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010349999999999998, "epoch": 0.08, "percentage": 2.77, "elapsed_time": "8:19:26", "remaining_time": "12 days, 4:01:48"} +{"current_steps": 695, "total_steps": 24897, "loss": 1.0397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010424999999999999, "epoch": 0.08, "percentage": 2.79, "elapsed_time": "8:23:11", "remaining_time": "12 days, 4:02:38"} +{"current_steps": 700, "total_steps": 24897, "loss": 1.0665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010499999999999999, "epoch": 0.08, "percentage": 2.81, "elapsed_time": "8:26:56", "remaining_time": "12 days, 4:03:36"} +{"current_steps": 705, "total_steps": 24897, "loss": 1.061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010574999999999998, "epoch": 0.08, "percentage": 2.83, "elapsed_time": "8:30:46", "remaining_time": "12 days, 4:07:10"} +{"current_steps": 710, "total_steps": 24897, "loss": 1.0637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010649999999999999, "epoch": 0.09, "percentage": 2.85, "elapsed_time": "8:34:31", "remaining_time": "12 days, 4:08:05"} +{"current_steps": 715, "total_steps": 24897, "loss": 1.0128, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010724999999999999, "epoch": 0.09, "percentage": 2.87, "elapsed_time": "8:38:17", "remaining_time": "12 days, 4:08:53"} +{"current_steps": 720, "total_steps": 24897, "loss": 1.064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010799999999999998, "epoch": 0.09, "percentage": 2.89, "elapsed_time": "8:42:02", "remaining_time": "12 days, 4:09:29"} +{"current_steps": 725, "total_steps": 24897, "loss": 1.0939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010874999999999999, "epoch": 0.09, "percentage": 2.91, "elapsed_time": "8:45:47", "remaining_time": "12 days, 4:10:03"} +{"current_steps": 730, "total_steps": 24897, "loss": 1.1127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010949999999999999, "epoch": 0.09, "percentage": 2.93, "elapsed_time": "8:49:31", "remaining_time": "12 days, 4:10:25"} +{"current_steps": 735, "total_steps": 24897, "loss": 1.0527, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011024999999999998, "epoch": 0.09, "percentage": 2.95, "elapsed_time": "8:53:17", "remaining_time": "12 days, 4:11:17"} +{"current_steps": 740, "total_steps": 24897, "loss": 1.1304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011099999999999999, "epoch": 0.09, "percentage": 2.97, "elapsed_time": "8:57:02", "remaining_time": "12 days, 4:11:23"} +{"current_steps": 745, "total_steps": 24897, "loss": 1.0862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011174999999999999, "epoch": 0.09, "percentage": 2.99, "elapsed_time": "9:00:47", "remaining_time": "12 days, 4:11:48"} +{"current_steps": 750, "total_steps": 24897, "loss": 1.0641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001125, "epoch": 0.09, "percentage": 3.01, "elapsed_time": "9:04:32", "remaining_time": "12 days, 4:12:05"} +{"current_steps": 755, "total_steps": 24897, "loss": 1.1303, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011324999999999999, "epoch": 0.09, "percentage": 3.03, "elapsed_time": "9:08:17", "remaining_time": "12 days, 4:12:17"} +{"current_steps": 760, "total_steps": 24897, "loss": 1.0214, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011399999999999999, "epoch": 0.09, "percentage": 3.05, "elapsed_time": "9:12:02", "remaining_time": "12 days, 4:12:33"} +{"current_steps": 765, "total_steps": 24897, "loss": 1.0696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011475, "epoch": 0.09, "percentage": 3.07, "elapsed_time": "9:15:48", "remaining_time": "12 days, 4:12:58"} +{"current_steps": 770, "total_steps": 24897, "loss": 1.2188, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011549999999999999, "epoch": 0.09, "percentage": 3.09, "elapsed_time": "9:19:32", "remaining_time": "12 days, 4:12:48"} +{"current_steps": 775, "total_steps": 24897, "loss": 1.113, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011624999999999999, "epoch": 0.09, "percentage": 3.11, "elapsed_time": "9:23:18", "remaining_time": "12 days, 4:13:08"} +{"current_steps": 780, "total_steps": 24897, "loss": 1.1429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000117, "epoch": 0.09, "percentage": 3.13, "elapsed_time": "9:27:04", "remaining_time": "12 days, 4:13:39"} +{"current_steps": 785, "total_steps": 24897, "loss": 1.1171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011774999999999999, "epoch": 0.09, "percentage": 3.15, "elapsed_time": "9:30:49", "remaining_time": "12 days, 4:13:30"} +{"current_steps": 790, "total_steps": 24897, "loss": 1.0675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001185, "epoch": 0.1, "percentage": 3.17, "elapsed_time": "9:34:33", "remaining_time": "12 days, 4:12:39"} +{"current_steps": 795, "total_steps": 24897, "loss": 1.0694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011925, "epoch": 0.1, "percentage": 3.19, "elapsed_time": "9:38:18", "remaining_time": "12 days, 4:12:25"} +{"current_steps": 800, "total_steps": 24897, "loss": 1.0378, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011999999999999999, "epoch": 0.1, "percentage": 3.21, "elapsed_time": "9:42:03", "remaining_time": "12 days, 4:12:17"} +{"current_steps": 805, "total_steps": 24897, "loss": 1.1294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012075, "epoch": 0.1, "percentage": 3.23, "elapsed_time": "9:45:54", "remaining_time": "12 days, 4:14:56"} +{"current_steps": 810, "total_steps": 24897, "loss": 1.024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001215, "epoch": 0.1, "percentage": 3.25, "elapsed_time": "9:49:39", "remaining_time": "12 days, 4:14:52"} +{"current_steps": 815, "total_steps": 24897, "loss": 1.0776, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012225, "epoch": 0.1, "percentage": 3.27, "elapsed_time": "9:53:24", "remaining_time": "12 days, 4:14:22"} +{"current_steps": 820, "total_steps": 24897, "loss": 1.107, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012299999999999998, "epoch": 0.1, "percentage": 3.29, "elapsed_time": "9:57:10", "remaining_time": "12 days, 4:14:08"} +{"current_steps": 825, "total_steps": 24897, "loss": 1.1817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012374999999999997, "epoch": 0.1, "percentage": 3.31, "elapsed_time": "10:00:54", "remaining_time": "12 days, 4:13:38"} +{"current_steps": 830, "total_steps": 24897, "loss": 1.0228, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001245, "epoch": 0.1, "percentage": 3.33, "elapsed_time": "10:04:40", "remaining_time": "12 days, 4:13:24"} +{"current_steps": 835, "total_steps": 24897, "loss": 1.1298, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012524999999999998, "epoch": 0.1, "percentage": 3.35, "elapsed_time": "10:08:25", "remaining_time": "12 days, 4:12:42"} +{"current_steps": 840, "total_steps": 24897, "loss": 1.0833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012599999999999997, "epoch": 0.1, "percentage": 3.37, "elapsed_time": "10:12:11", "remaining_time": "12 days, 4:12:29"} +{"current_steps": 845, "total_steps": 24897, "loss": 1.0027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012675, "epoch": 0.1, "percentage": 3.39, "elapsed_time": "10:15:56", "remaining_time": "12 days, 4:11:56"} +{"current_steps": 850, "total_steps": 24897, "loss": 1.0953, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012749999999999998, "epoch": 0.1, "percentage": 3.41, "elapsed_time": "10:19:41", "remaining_time": "12 days, 4:11:14"} +{"current_steps": 855, "total_steps": 24897, "loss": 1.0793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012824999999999997, "epoch": 0.1, "percentage": 3.43, "elapsed_time": "10:23:26", "remaining_time": "12 days, 4:10:34"} +{"current_steps": 860, "total_steps": 24897, "loss": 1.0685, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000129, "epoch": 0.1, "percentage": 3.45, "elapsed_time": "10:27:11", "remaining_time": "12 days, 4:10:00"} +{"current_steps": 865, "total_steps": 24897, "loss": 1.111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012974999999999998, "epoch": 0.1, "percentage": 3.47, "elapsed_time": "10:30:56", "remaining_time": "12 days, 4:09:24"} +{"current_steps": 870, "total_steps": 24897, "loss": 1.0681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001305, "epoch": 0.1, "percentage": 3.49, "elapsed_time": "10:34:42", "remaining_time": "12 days, 4:08:50"} +{"current_steps": 875, "total_steps": 24897, "loss": 1.1185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013125, "epoch": 0.11, "percentage": 3.51, "elapsed_time": "10:38:28", "remaining_time": "12 days, 4:08:20"} +{"current_steps": 880, "total_steps": 24897, "loss": 1.0196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013199999999999998, "epoch": 0.11, "percentage": 3.53, "elapsed_time": "10:42:13", "remaining_time": "12 days, 4:07:25"} +{"current_steps": 885, "total_steps": 24897, "loss": 1.0478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013275, "epoch": 0.11, "percentage": 3.55, "elapsed_time": "10:45:58", "remaining_time": "12 days, 4:06:42"} +{"current_steps": 890, "total_steps": 24897, "loss": 1.0387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001335, "epoch": 0.11, "percentage": 3.57, "elapsed_time": "10:49:43", "remaining_time": "12 days, 4:05:59"} +{"current_steps": 895, "total_steps": 24897, "loss": 1.1127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013424999999999998, "epoch": 0.11, "percentage": 3.59, "elapsed_time": "10:53:29", "remaining_time": "12 days, 4:05:07"} +{"current_steps": 900, "total_steps": 24897, "loss": 1.0555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000135, "epoch": 0.11, "percentage": 3.61, "elapsed_time": "10:57:13", "remaining_time": "12 days, 4:03:57"} +{"current_steps": 905, "total_steps": 24897, "loss": 1.1497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013575, "epoch": 0.11, "percentage": 3.63, "elapsed_time": "11:01:04", "remaining_time": "12 days, 4:05:38"} +{"current_steps": 910, "total_steps": 24897, "loss": 1.0675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013649999999999998, "epoch": 0.11, "percentage": 3.66, "elapsed_time": "11:04:50", "remaining_time": "12 days, 4:04:49"} +{"current_steps": 915, "total_steps": 24897, "loss": 1.1499, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013725, "epoch": 0.11, "percentage": 3.68, "elapsed_time": "11:08:36", "remaining_time": "12 days, 4:03:59"} +{"current_steps": 920, "total_steps": 24897, "loss": 1.0508, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000138, "epoch": 0.11, "percentage": 3.7, "elapsed_time": "11:12:20", "remaining_time": "12 days, 4:02:35"} +{"current_steps": 925, "total_steps": 24897, "loss": 0.9855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013874999999999998, "epoch": 0.11, "percentage": 3.72, "elapsed_time": "11:16:06", "remaining_time": "12 days, 4:01:36"} +{"current_steps": 930, "total_steps": 24897, "loss": 1.0723, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001395, "epoch": 0.11, "percentage": 3.74, "elapsed_time": "11:19:51", "remaining_time": "12 days, 4:00:30"} +{"current_steps": 935, "total_steps": 24897, "loss": 1.141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014025, "epoch": 0.11, "percentage": 3.76, "elapsed_time": "11:23:36", "remaining_time": "12 days, 3:59:22"} +{"current_steps": 940, "total_steps": 24897, "loss": 1.0817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014099999999999998, "epoch": 0.11, "percentage": 3.78, "elapsed_time": "11:27:21", "remaining_time": "12 days, 3:58:14"} +{"current_steps": 945, "total_steps": 24897, "loss": 0.9859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014174999999999998, "epoch": 0.11, "percentage": 3.8, "elapsed_time": "11:31:07", "remaining_time": "12 days, 3:57:19"} +{"current_steps": 950, "total_steps": 24897, "loss": 1.0902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001425, "epoch": 0.11, "percentage": 3.82, "elapsed_time": "11:34:52", "remaining_time": "12 days, 3:56:10"} +{"current_steps": 955, "total_steps": 24897, "loss": 1.0817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014324999999999999, "epoch": 0.12, "percentage": 3.84, "elapsed_time": "11:38:37", "remaining_time": "12 days, 3:54:41"} +{"current_steps": 960, "total_steps": 24897, "loss": 1.0502, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014399999999999998, "epoch": 0.12, "percentage": 3.86, "elapsed_time": "11:42:23", "remaining_time": "12 days, 3:53:39"} +{"current_steps": 965, "total_steps": 24897, "loss": 1.0244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014475, "epoch": 0.12, "percentage": 3.88, "elapsed_time": "11:46:08", "remaining_time": "12 days, 3:52:17"} +{"current_steps": 970, "total_steps": 24897, "loss": 1.1313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014549999999999999, "epoch": 0.12, "percentage": 3.9, "elapsed_time": "11:49:53", "remaining_time": "12 days, 3:50:54"} +{"current_steps": 975, "total_steps": 24897, "loss": 1.088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014624999999999998, "epoch": 0.12, "percentage": 3.92, "elapsed_time": "11:53:39", "remaining_time": "12 days, 3:49:51"} +{"current_steps": 980, "total_steps": 24897, "loss": 1.0855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000147, "epoch": 0.12, "percentage": 3.94, "elapsed_time": "11:57:24", "remaining_time": "12 days, 3:48:37"} +{"current_steps": 985, "total_steps": 24897, "loss": 1.1304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014774999999999999, "epoch": 0.12, "percentage": 3.96, "elapsed_time": "12:01:10", "remaining_time": "12 days, 3:47:14"} +{"current_steps": 990, "total_steps": 24897, "loss": 1.0307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014849999999999998, "epoch": 0.12, "percentage": 3.98, "elapsed_time": "12:04:56", "remaining_time": "12 days, 3:46:07"} +{"current_steps": 995, "total_steps": 24897, "loss": 1.0946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014925, "epoch": 0.12, "percentage": 4.0, "elapsed_time": "12:08:41", "remaining_time": "12 days, 3:44:54"} +{"current_steps": 1000, "total_steps": 24897, "loss": 1.0314, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015, "epoch": 0.12, "percentage": 4.02, "elapsed_time": "12:12:26", "remaining_time": "12 days, 3:43:04"} +{"current_steps": 1005, "total_steps": 24897, "loss": 1.0018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015074999999999998, "epoch": 0.12, "percentage": 4.04, "elapsed_time": "12:16:17", "remaining_time": "12 days, 3:44:02"} +{"current_steps": 1010, "total_steps": 24897, "loss": 1.0417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001515, "epoch": 0.12, "percentage": 4.06, "elapsed_time": "12:20:04", "remaining_time": "12 days, 3:42:57"} +{"current_steps": 1015, "total_steps": 24897, "loss": 1.045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015224999999999996, "epoch": 0.12, "percentage": 4.08, "elapsed_time": "12:23:49", "remaining_time": "12 days, 3:41:33"} +{"current_steps": 1020, "total_steps": 24897, "loss": 1.0666, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015299999999999998, "epoch": 0.12, "percentage": 4.1, "elapsed_time": "12:27:34", "remaining_time": "12 days, 3:40:00"} +{"current_steps": 1025, "total_steps": 24897, "loss": 1.0578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015374999999999997, "epoch": 0.12, "percentage": 4.12, "elapsed_time": "12:31:20", "remaining_time": "12 days, 3:38:24"} +{"current_steps": 1030, "total_steps": 24897, "loss": 1.1052, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001545, "epoch": 0.12, "percentage": 4.14, "elapsed_time": "12:35:05", "remaining_time": "12 days, 3:36:56"} +{"current_steps": 1035, "total_steps": 24897, "loss": 0.9881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015524999999999998, "epoch": 0.12, "percentage": 4.16, "elapsed_time": "12:38:50", "remaining_time": "12 days, 3:35:07"} +{"current_steps": 1040, "total_steps": 24897, "loss": 1.0462, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000156, "epoch": 0.13, "percentage": 4.18, "elapsed_time": "12:42:35", "remaining_time": "12 days, 3:33:32"} +{"current_steps": 1045, "total_steps": 24897, "loss": 0.9891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015675, "epoch": 0.13, "percentage": 4.2, "elapsed_time": "12:46:20", "remaining_time": "12 days, 3:31:42"} +{"current_steps": 1050, "total_steps": 24897, "loss": 1.0565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015749999999999998, "epoch": 0.13, "percentage": 4.22, "elapsed_time": "12:50:06", "remaining_time": "12 days, 3:30:12"} +{"current_steps": 1055, "total_steps": 24897, "loss": 1.0551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015824999999999997, "epoch": 0.13, "percentage": 4.24, "elapsed_time": "12:53:51", "remaining_time": "12 days, 3:28:28"} +{"current_steps": 1060, "total_steps": 24897, "loss": 1.1354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000159, "epoch": 0.13, "percentage": 4.26, "elapsed_time": "12:57:37", "remaining_time": "12 days, 3:27:11"} +{"current_steps": 1065, "total_steps": 24897, "loss": 1.1317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015974999999999998, "epoch": 0.13, "percentage": 4.28, "elapsed_time": "13:01:23", "remaining_time": "12 days, 3:25:28"} +{"current_steps": 1070, "total_steps": 24897, "loss": 1.0358, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001605, "epoch": 0.13, "percentage": 4.3, "elapsed_time": "13:05:07", "remaining_time": "12 days, 3:23:18"} +{"current_steps": 1075, "total_steps": 24897, "loss": 1.0852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016125, "epoch": 0.13, "percentage": 4.32, "elapsed_time": "13:08:52", "remaining_time": "12 days, 3:21:28"} +{"current_steps": 1080, "total_steps": 24897, "loss": 0.997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000162, "epoch": 0.13, "percentage": 4.34, "elapsed_time": "13:12:38", "remaining_time": "12 days, 3:19:47"} +{"current_steps": 1085, "total_steps": 24897, "loss": 1.0837, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016274999999999997, "epoch": 0.13, "percentage": 4.36, "elapsed_time": "13:16:23", "remaining_time": "12 days, 3:17:58"} +{"current_steps": 1090, "total_steps": 24897, "loss": 1.0565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001635, "epoch": 0.13, "percentage": 4.38, "elapsed_time": "13:20:08", "remaining_time": "12 days, 3:16:09"} +{"current_steps": 1095, "total_steps": 24897, "loss": 1.0099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016424999999999998, "epoch": 0.13, "percentage": 4.4, "elapsed_time": "13:23:53", "remaining_time": "12 days, 3:14:18"} +{"current_steps": 1100, "total_steps": 24897, "loss": 1.039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000165, "epoch": 0.13, "percentage": 4.42, "elapsed_time": "13:27:39", "remaining_time": "12 days, 3:12:34"} +{"current_steps": 1105, "total_steps": 24897, "loss": 1.165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016575, "epoch": 0.13, "percentage": 4.44, "elapsed_time": "13:31:29", "remaining_time": "12 days, 3:12:28"} +{"current_steps": 1110, "total_steps": 24897, "loss": 1.0653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001665, "epoch": 0.13, "percentage": 4.46, "elapsed_time": "13:35:15", "remaining_time": "12 days, 3:10:53"} +{"current_steps": 1115, "total_steps": 24897, "loss": 1.0509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016724999999999997, "epoch": 0.13, "percentage": 4.48, "elapsed_time": "13:39:00", "remaining_time": "12 days, 3:08:37"} +{"current_steps": 1120, "total_steps": 24897, "loss": 1.0376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000168, "epoch": 0.13, "percentage": 4.5, "elapsed_time": "13:42:45", "remaining_time": "12 days, 3:06:43"} +{"current_steps": 1125, "total_steps": 24897, "loss": 1.0082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016874999999999998, "epoch": 0.14, "percentage": 4.52, "elapsed_time": "13:46:31", "remaining_time": "12 days, 3:04:58"} +{"current_steps": 1130, "total_steps": 24897, "loss": 1.0865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016949999999999997, "epoch": 0.14, "percentage": 4.54, "elapsed_time": "13:50:16", "remaining_time": "12 days, 3:02:47"} +{"current_steps": 1135, "total_steps": 24897, "loss": 1.1051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017025, "epoch": 0.14, "percentage": 4.56, "elapsed_time": "13:54:01", "remaining_time": "12 days, 3:01:00"} +{"current_steps": 1140, "total_steps": 24897, "loss": 1.1436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017099999999999998, "epoch": 0.14, "percentage": 4.58, "elapsed_time": "13:57:46", "remaining_time": "12 days, 2:58:42"} +{"current_steps": 1145, "total_steps": 24897, "loss": 0.9946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017175, "epoch": 0.14, "percentage": 4.6, "elapsed_time": "14:01:31", "remaining_time": "12 days, 2:56:48"} +{"current_steps": 1150, "total_steps": 24897, "loss": 1.0448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017249999999999996, "epoch": 0.14, "percentage": 4.62, "elapsed_time": "14:05:17", "remaining_time": "12 days, 2:54:44"} +{"current_steps": 1155, "total_steps": 24897, "loss": 1.0698, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017324999999999998, "epoch": 0.14, "percentage": 4.64, "elapsed_time": "14:09:02", "remaining_time": "12 days, 2:52:39"} +{"current_steps": 1160, "total_steps": 24897, "loss": 1.0619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017399999999999997, "epoch": 0.14, "percentage": 4.66, "elapsed_time": "14:12:47", "remaining_time": "12 days, 2:50:28"} +{"current_steps": 1165, "total_steps": 24897, "loss": 1.0755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017475, "epoch": 0.14, "percentage": 4.68, "elapsed_time": "14:16:33", "remaining_time": "12 days, 2:48:38"} +{"current_steps": 1170, "total_steps": 24897, "loss": 1.0456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017549999999999998, "epoch": 0.14, "percentage": 4.7, "elapsed_time": "14:20:18", "remaining_time": "12 days, 2:46:29"} +{"current_steps": 1175, "total_steps": 24897, "loss": 1.0822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017625, "epoch": 0.14, "percentage": 4.72, "elapsed_time": "14:24:03", "remaining_time": "12 days, 2:44:29"} +{"current_steps": 1180, "total_steps": 24897, "loss": 1.0588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017699999999999997, "epoch": 0.14, "percentage": 4.74, "elapsed_time": "14:27:48", "remaining_time": "12 days, 2:42:05"} +{"current_steps": 1185, "total_steps": 24897, "loss": 1.0941, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017774999999999998, "epoch": 0.14, "percentage": 4.76, "elapsed_time": "14:31:32", "remaining_time": "12 days, 2:39:33"} +{"current_steps": 1190, "total_steps": 24897, "loss": 1.0485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017849999999999997, "epoch": 0.14, "percentage": 4.78, "elapsed_time": "14:35:16", "remaining_time": "12 days, 2:37:13"} +{"current_steps": 1195, "total_steps": 24897, "loss": 1.1128, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017925, "epoch": 0.14, "percentage": 4.8, "elapsed_time": "14:39:02", "remaining_time": "12 days, 2:35:13"} +{"current_steps": 1200, "total_steps": 24897, "loss": 1.0536, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017999999999999998, "epoch": 0.14, "percentage": 4.82, "elapsed_time": "14:42:48", "remaining_time": "12 days, 2:33:06"} +{"current_steps": 1205, "total_steps": 24897, "loss": 1.1123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018075, "epoch": 0.15, "percentage": 4.84, "elapsed_time": "14:46:36", "remaining_time": "12 days, 2:31:49"} +{"current_steps": 1210, "total_steps": 24897, "loss": 1.0998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018149999999999997, "epoch": 0.15, "percentage": 4.86, "elapsed_time": "14:50:22", "remaining_time": "12 days, 2:29:56"} +{"current_steps": 1215, "total_steps": 24897, "loss": 1.0174, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018224999999999998, "epoch": 0.15, "percentage": 4.88, "elapsed_time": "14:54:06", "remaining_time": "12 days, 2:27:31"} +{"current_steps": 1220, "total_steps": 24897, "loss": 1.0898, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018299999999999998, "epoch": 0.15, "percentage": 4.9, "elapsed_time": "14:57:52", "remaining_time": "12 days, 2:25:32"} +{"current_steps": 1225, "total_steps": 24897, "loss": 1.0516, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018375, "epoch": 0.15, "percentage": 4.92, "elapsed_time": "15:01:39", "remaining_time": "12 days, 2:23:36"} +{"current_steps": 1230, "total_steps": 24897, "loss": 1.0495, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018449999999999999, "epoch": 0.15, "percentage": 4.94, "elapsed_time": "15:05:23", "remaining_time": "12 days, 2:21:11"} +{"current_steps": 1235, "total_steps": 24897, "loss": 1.0816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018525, "epoch": 0.15, "percentage": 4.96, "elapsed_time": "15:09:08", "remaining_time": "12 days, 2:18:35"} +{"current_steps": 1240, "total_steps": 24897, "loss": 1.0122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000186, "epoch": 0.15, "percentage": 4.98, "elapsed_time": "15:12:54", "remaining_time": "12 days, 2:16:32"} +{"current_steps": 1245, "total_steps": 24897, "loss": 1.0122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018675, "epoch": 0.15, "percentage": 5.0, "elapsed_time": "15:16:40", "remaining_time": "12 days, 2:14:31"} +{"current_steps": 1250, "total_steps": 24897, "loss": 1.0813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018749999999999998, "epoch": 0.15, "percentage": 5.02, "elapsed_time": "15:20:26", "remaining_time": "12 days, 2:12:30"} +{"current_steps": 1255, "total_steps": 24897, "loss": 1.03, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018824999999999997, "epoch": 0.15, "percentage": 5.04, "elapsed_time": "15:24:12", "remaining_time": "12 days, 2:10:21"} +{"current_steps": 1260, "total_steps": 24897, "loss": 1.0724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018899999999999999, "epoch": 0.15, "percentage": 5.06, "elapsed_time": "15:27:57", "remaining_time": "12 days, 2:07:58"} +{"current_steps": 1265, "total_steps": 24897, "loss": 1.0449, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018974999999999998, "epoch": 0.15, "percentage": 5.08, "elapsed_time": "15:31:43", "remaining_time": "12 days, 2:05:50"} +{"current_steps": 1270, "total_steps": 24897, "loss": 1.1008, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001905, "epoch": 0.15, "percentage": 5.1, "elapsed_time": "15:35:28", "remaining_time": "12 days, 2:03:24"} +{"current_steps": 1275, "total_steps": 24897, "loss": 1.1471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019124999999999996, "epoch": 0.15, "percentage": 5.12, "elapsed_time": "15:39:14", "remaining_time": "12 days, 2:01:19"} +{"current_steps": 1280, "total_steps": 24897, "loss": 1.0501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019199999999999998, "epoch": 0.15, "percentage": 5.14, "elapsed_time": "15:42:59", "remaining_time": "12 days, 1:59:02"} +{"current_steps": 1285, "total_steps": 24897, "loss": 1.03, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019274999999999997, "epoch": 0.15, "percentage": 5.16, "elapsed_time": "15:46:44", "remaining_time": "12 days, 1:56:32"} +{"current_steps": 1290, "total_steps": 24897, "loss": 1.0996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001935, "epoch": 0.16, "percentage": 5.18, "elapsed_time": "15:50:30", "remaining_time": "12 days, 1:54:17"} +{"current_steps": 1295, "total_steps": 24897, "loss": 1.0529, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019424999999999998, "epoch": 0.16, "percentage": 5.2, "elapsed_time": "15:54:15", "remaining_time": "12 days, 1:51:40"} +{"current_steps": 1300, "total_steps": 24897, "loss": 1.0984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000195, "epoch": 0.16, "percentage": 5.22, "elapsed_time": "15:57:59", "remaining_time": "12 days, 1:49:00"} +{"current_steps": 1305, "total_steps": 24897, "loss": 1.0336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019574999999999996, "epoch": 0.16, "percentage": 5.24, "elapsed_time": "16:01:47", "remaining_time": "12 days, 1:47:27"} +{"current_steps": 1310, "total_steps": 24897, "loss": 1.1046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019649999999999998, "epoch": 0.16, "percentage": 5.26, "elapsed_time": "16:05:31", "remaining_time": "12 days, 1:44:39"} +{"current_steps": 1315, "total_steps": 24897, "loss": 0.9654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019724999999999997, "epoch": 0.16, "percentage": 5.28, "elapsed_time": "16:09:15", "remaining_time": "12 days, 1:41:47"} +{"current_steps": 1320, "total_steps": 24897, "loss": 1.0994, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000198, "epoch": 0.16, "percentage": 5.3, "elapsed_time": "16:12:59", "remaining_time": "12 days, 1:39:05"} +{"current_steps": 1325, "total_steps": 24897, "loss": 1.1445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019874999999999998, "epoch": 0.16, "percentage": 5.32, "elapsed_time": "16:15:57", "remaining_time": "12 days, 1:22:24"} +{"current_steps": 1330, "total_steps": 24897, "loss": 1.0605, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001995, "epoch": 0.16, "percentage": 5.34, "elapsed_time": "16:18:47", "remaining_time": "12 days, 1:03:38"} +{"current_steps": 1335, "total_steps": 24897, "loss": 1.0405, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020025, "epoch": 0.16, "percentage": 5.36, "elapsed_time": "16:21:36", "remaining_time": "12 days, 0:44:52"} +{"current_steps": 1340, "total_steps": 24897, "loss": 1.0612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000201, "epoch": 0.16, "percentage": 5.38, "elapsed_time": "16:24:26", "remaining_time": "12 days, 0:26:15"} +{"current_steps": 1345, "total_steps": 24897, "loss": 1.0653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020174999999999997, "epoch": 0.16, "percentage": 5.4, "elapsed_time": "16:27:15", "remaining_time": "12 days, 0:07:45"} +{"current_steps": 1350, "total_steps": 24897, "loss": 1.1237, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002025, "epoch": 0.16, "percentage": 5.42, "elapsed_time": "16:30:05", "remaining_time": "11 days, 23:49:24"} +{"current_steps": 1355, "total_steps": 24897, "loss": 1.1257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020324999999999998, "epoch": 0.16, "percentage": 5.44, "elapsed_time": "16:32:55", "remaining_time": "11 days, 23:31:07"} +{"current_steps": 1360, "total_steps": 24897, "loss": 1.0947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000204, "epoch": 0.16, "percentage": 5.46, "elapsed_time": "16:35:46", "remaining_time": "11 days, 23:13:23"} +{"current_steps": 1365, "total_steps": 24897, "loss": 1.1676, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020475, "epoch": 0.16, "percentage": 5.48, "elapsed_time": "16:38:38", "remaining_time": "11 days, 22:56:06"} +{"current_steps": 1370, "total_steps": 24897, "loss": 1.0314, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002055, "epoch": 0.17, "percentage": 5.5, "elapsed_time": "16:41:28", "remaining_time": "11 days, 22:38:14"} +{"current_steps": 1375, "total_steps": 24897, "loss": 0.9767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020624999999999997, "epoch": 0.17, "percentage": 5.52, "elapsed_time": "16:44:18", "remaining_time": "11 days, 22:20:32"} +{"current_steps": 1380, "total_steps": 24897, "loss": 1.1578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020699999999999996, "epoch": 0.17, "percentage": 5.54, "elapsed_time": "16:47:07", "remaining_time": "11 days, 22:02:51"} +{"current_steps": 1385, "total_steps": 24897, "loss": 1.0263, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020774999999999998, "epoch": 0.17, "percentage": 5.56, "elapsed_time": "16:49:57", "remaining_time": "11 days, 21:45:14"} +{"current_steps": 1390, "total_steps": 24897, "loss": 1.0553, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020849999999999997, "epoch": 0.17, "percentage": 5.58, "elapsed_time": "16:52:47", "remaining_time": "11 days, 21:27:50"} +{"current_steps": 1395, "total_steps": 24897, "loss": 1.0242, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020925, "epoch": 0.17, "percentage": 5.6, "elapsed_time": "16:55:39", "remaining_time": "11 days, 21:10:59"} +{"current_steps": 1400, "total_steps": 24897, "loss": 1.0541, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020999999999999998, "epoch": 0.17, "percentage": 5.62, "elapsed_time": "16:58:30", "remaining_time": "11 days, 20:54:04"} +{"current_steps": 1405, "total_steps": 24897, "loss": 1.0295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021074999999999997, "epoch": 0.17, "percentage": 5.64, "elapsed_time": "17:01:23", "remaining_time": "11 days, 20:37:53"} +{"current_steps": 1410, "total_steps": 24897, "loss": 0.9833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021149999999999996, "epoch": 0.17, "percentage": 5.66, "elapsed_time": "17:04:13", "remaining_time": "11 days, 20:20:57"} +{"current_steps": 1415, "total_steps": 24897, "loss": 1.0244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021224999999999998, "epoch": 0.17, "percentage": 5.68, "elapsed_time": "17:07:03", "remaining_time": "11 days, 20:04:05"} +{"current_steps": 1420, "total_steps": 24897, "loss": 1.0513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021299999999999997, "epoch": 0.17, "percentage": 5.7, "elapsed_time": "17:09:53", "remaining_time": "11 days, 19:47:21"} +{"current_steps": 1425, "total_steps": 24897, "loss": 1.0771, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021375, "epoch": 0.17, "percentage": 5.72, "elapsed_time": "17:12:43", "remaining_time": "11 days, 19:30:43"} +{"current_steps": 1430, "total_steps": 24897, "loss": 1.0419, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021449999999999998, "epoch": 0.17, "percentage": 5.74, "elapsed_time": "17:15:35", "remaining_time": "11 days, 19:14:35"} +{"current_steps": 1435, "total_steps": 24897, "loss": 1.045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021525, "epoch": 0.17, "percentage": 5.76, "elapsed_time": "17:18:26", "remaining_time": "11 days, 18:58:23"} +{"current_steps": 1440, "total_steps": 24897, "loss": 1.0856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021599999999999996, "epoch": 0.17, "percentage": 5.78, "elapsed_time": "17:21:17", "remaining_time": "11 days, 18:42:17"} +{"current_steps": 1445, "total_steps": 24897, "loss": 1.093, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021674999999999998, "epoch": 0.17, "percentage": 5.8, "elapsed_time": "17:24:08", "remaining_time": "11 days, 18:26:03"} +{"current_steps": 1450, "total_steps": 24897, "loss": 1.0921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021749999999999997, "epoch": 0.17, "percentage": 5.82, "elapsed_time": "17:26:58", "remaining_time": "11 days, 18:10:02"} +{"current_steps": 1455, "total_steps": 24897, "loss": 1.0832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021825, "epoch": 0.18, "percentage": 5.84, "elapsed_time": "17:29:51", "remaining_time": "11 days, 17:54:37"} +{"current_steps": 1460, "total_steps": 24897, "loss": 1.0995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021899999999999998, "epoch": 0.18, "percentage": 5.86, "elapsed_time": "17:32:42", "remaining_time": "11 days, 17:38:52"} +{"current_steps": 1465, "total_steps": 24897, "loss": 1.0806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021975, "epoch": 0.18, "percentage": 5.88, "elapsed_time": "17:35:40", "remaining_time": "11 days, 17:24:59"} +{"current_steps": 1470, "total_steps": 24897, "loss": 1.0276, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022049999999999997, "epoch": 0.18, "percentage": 5.9, "elapsed_time": "17:38:38", "remaining_time": "11 days, 17:11:20"} +{"current_steps": 1475, "total_steps": 24897, "loss": 0.9419, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022124999999999998, "epoch": 0.18, "percentage": 5.92, "elapsed_time": "17:41:31", "remaining_time": "11 days, 16:56:19"} +{"current_steps": 1480, "total_steps": 24897, "loss": 1.0673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022199999999999998, "epoch": 0.18, "percentage": 5.94, "elapsed_time": "17:44:23", "remaining_time": "11 days, 16:41:11"} +{"current_steps": 1485, "total_steps": 24897, "loss": 1.0753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022275, "epoch": 0.18, "percentage": 5.96, "elapsed_time": "17:47:15", "remaining_time": "11 days, 16:26:06"} +{"current_steps": 1490, "total_steps": 24897, "loss": 1.0793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022349999999999998, "epoch": 0.18, "percentage": 5.98, "elapsed_time": "17:50:06", "remaining_time": "11 days, 16:10:48"} +{"current_steps": 1495, "total_steps": 24897, "loss": 1.0742, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022425, "epoch": 0.18, "percentage": 6.0, "elapsed_time": "17:52:57", "remaining_time": "11 days, 15:55:29"} +{"current_steps": 1500, "total_steps": 24897, "loss": 1.0272, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000225, "epoch": 0.18, "percentage": 6.02, "elapsed_time": "17:56:05", "remaining_time": "11 days, 15:44:59"} +{"current_steps": 1505, "total_steps": 24897, "loss": 1.056, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022574999999999996, "epoch": 0.18, "percentage": 6.04, "elapsed_time": "17:59:53", "remaining_time": "11 days, 15:44:29"} +{"current_steps": 1510, "total_steps": 24897, "loss": 1.0965, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022649999999999998, "epoch": 0.18, "percentage": 6.06, "elapsed_time": "18:03:35", "remaining_time": "11 days, 15:42:47"} +{"current_steps": 1515, "total_steps": 24897, "loss": 1.1601, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022724999999999997, "epoch": 0.18, "percentage": 6.09, "elapsed_time": "18:07:17", "remaining_time": "11 days, 15:40:51"} +{"current_steps": 1520, "total_steps": 24897, "loss": 1.0286, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022799999999999999, "epoch": 0.18, "percentage": 6.11, "elapsed_time": "18:10:59", "remaining_time": "11 days, 15:38:58"} +{"current_steps": 1525, "total_steps": 24897, "loss": 1.0998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022874999999999998, "epoch": 0.18, "percentage": 6.13, "elapsed_time": "18:14:40", "remaining_time": "11 days, 15:36:58"} +{"current_steps": 1530, "total_steps": 24897, "loss": 1.0099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002295, "epoch": 0.18, "percentage": 6.15, "elapsed_time": "18:18:22", "remaining_time": "11 days, 15:34:59"} +{"current_steps": 1535, "total_steps": 24897, "loss": 1.0512, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023024999999999996, "epoch": 0.18, "percentage": 6.17, "elapsed_time": "18:22:04", "remaining_time": "11 days, 15:33:05"} +{"current_steps": 1540, "total_steps": 24897, "loss": 1.0563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023099999999999998, "epoch": 0.19, "percentage": 6.19, "elapsed_time": "18:25:46", "remaining_time": "11 days, 15:31:10"} +{"current_steps": 1545, "total_steps": 24897, "loss": 0.9952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023174999999999997, "epoch": 0.19, "percentage": 6.21, "elapsed_time": "18:29:27", "remaining_time": "11 days, 15:29:01"} +{"current_steps": 1550, "total_steps": 24897, "loss": 0.9924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023249999999999999, "epoch": 0.19, "percentage": 6.23, "elapsed_time": "18:33:09", "remaining_time": "11 days, 15:27:06"} +{"current_steps": 1555, "total_steps": 24897, "loss": 0.9568, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023324999999999998, "epoch": 0.19, "percentage": 6.25, "elapsed_time": "18:36:52", "remaining_time": "11 days, 15:25:15"} +{"current_steps": 1560, "total_steps": 24897, "loss": 1.0429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000234, "epoch": 0.19, "percentage": 6.27, "elapsed_time": "18:40:34", "remaining_time": "11 days, 15:23:23"} +{"current_steps": 1565, "total_steps": 24897, "loss": 1.0548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023474999999999996, "epoch": 0.19, "percentage": 6.29, "elapsed_time": "18:44:16", "remaining_time": "11 days, 15:21:22"} +{"current_steps": 1570, "total_steps": 24897, "loss": 1.0312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023549999999999998, "epoch": 0.19, "percentage": 6.31, "elapsed_time": "18:47:57", "remaining_time": "11 days, 15:19:08"} +{"current_steps": 1575, "total_steps": 24897, "loss": 1.1496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023624999999999997, "epoch": 0.19, "percentage": 6.33, "elapsed_time": "18:51:38", "remaining_time": "11 days, 15:16:54"} +{"current_steps": 1580, "total_steps": 24897, "loss": 1.0083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000237, "epoch": 0.19, "percentage": 6.35, "elapsed_time": "18:55:20", "remaining_time": "11 days, 15:14:49"} +{"current_steps": 1585, "total_steps": 24897, "loss": 1.1104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023774999999999998, "epoch": 0.19, "percentage": 6.37, "elapsed_time": "18:59:03", "remaining_time": "11 days, 15:13:02"} +{"current_steps": 1590, "total_steps": 24897, "loss": 1.0746, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002385, "epoch": 0.19, "percentage": 6.39, "elapsed_time": "19:02:46", "remaining_time": "11 days, 15:11:14"} +{"current_steps": 1595, "total_steps": 24897, "loss": 1.0702, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023925, "epoch": 0.19, "percentage": 6.41, "elapsed_time": "19:06:28", "remaining_time": "11 days, 15:09:18"} +{"current_steps": 1600, "total_steps": 24897, "loss": 1.0313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023999999999999998, "epoch": 0.19, "percentage": 6.43, "elapsed_time": "19:10:10", "remaining_time": "11 days, 15:07:10"} +{"current_steps": 1605, "total_steps": 24897, "loss": 1.0489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024074999999999997, "epoch": 0.19, "percentage": 6.45, "elapsed_time": "19:13:55", "remaining_time": "11 days, 15:05:55"} +{"current_steps": 1610, "total_steps": 24897, "loss": 1.0563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002415, "epoch": 0.19, "percentage": 6.47, "elapsed_time": "19:17:37", "remaining_time": "11 days, 15:03:53"} +{"current_steps": 1615, "total_steps": 24897, "loss": 1.1186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024224999999999998, "epoch": 0.19, "percentage": 6.49, "elapsed_time": "19:21:20", "remaining_time": "11 days, 15:01:59"} +{"current_steps": 1620, "total_steps": 24897, "loss": 1.0285, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000243, "epoch": 0.2, "percentage": 6.51, "elapsed_time": "19:25:02", "remaining_time": "11 days, 15:00:00"} +{"current_steps": 1625, "total_steps": 24897, "loss": 1.0816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024375, "epoch": 0.2, "percentage": 6.53, "elapsed_time": "19:28:44", "remaining_time": "11 days, 14:57:43"} +{"current_steps": 1630, "total_steps": 24897, "loss": 0.9558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002445, "epoch": 0.2, "percentage": 6.55, "elapsed_time": "19:32:25", "remaining_time": "11 days, 14:55:28"} +{"current_steps": 1635, "total_steps": 24897, "loss": 1.0487, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024524999999999997, "epoch": 0.2, "percentage": 6.57, "elapsed_time": "19:36:07", "remaining_time": "11 days, 14:53:21"} +{"current_steps": 1640, "total_steps": 24897, "loss": 1.0382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024599999999999996, "epoch": 0.2, "percentage": 6.59, "elapsed_time": "19:39:49", "remaining_time": "11 days, 14:51:13"} +{"current_steps": 1645, "total_steps": 24897, "loss": 1.0297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024675, "epoch": 0.2, "percentage": 6.61, "elapsed_time": "19:43:31", "remaining_time": "11 days, 14:48:57"} +{"current_steps": 1650, "total_steps": 24897, "loss": 1.1047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024749999999999994, "epoch": 0.2, "percentage": 6.63, "elapsed_time": "19:47:12", "remaining_time": "11 days, 14:46:45"} +{"current_steps": 1655, "total_steps": 24897, "loss": 1.0456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024825, "epoch": 0.2, "percentage": 6.65, "elapsed_time": "19:50:54", "remaining_time": "11 days, 14:44:35"} +{"current_steps": 1660, "total_steps": 24897, "loss": 1.1067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000249, "epoch": 0.2, "percentage": 6.67, "elapsed_time": "19:54:36", "remaining_time": "11 days, 14:42:25"} +{"current_steps": 1665, "total_steps": 24897, "loss": 1.0627, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024974999999999997, "epoch": 0.2, "percentage": 6.69, "elapsed_time": "19:58:19", "remaining_time": "11 days, 14:40:18"} +{"current_steps": 1670, "total_steps": 24897, "loss": 0.9831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025049999999999996, "epoch": 0.2, "percentage": 6.71, "elapsed_time": "20:02:00", "remaining_time": "11 days, 14:38:03"} +{"current_steps": 1675, "total_steps": 24897, "loss": 1.1085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025125, "epoch": 0.2, "percentage": 6.73, "elapsed_time": "20:05:42", "remaining_time": "11 days, 14:35:44"} +{"current_steps": 1680, "total_steps": 24897, "loss": 1.0539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025199999999999995, "epoch": 0.2, "percentage": 6.75, "elapsed_time": "20:08:59", "remaining_time": "11 days, 14:27:46"} +{"current_steps": 1685, "total_steps": 24897, "loss": 1.0761, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025275, "epoch": 0.2, "percentage": 6.77, "elapsed_time": "20:11:53", "remaining_time": "11 days, 14:14:34"} +{"current_steps": 1690, "total_steps": 24897, "loss": 1.0143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002535, "epoch": 0.2, "percentage": 6.79, "elapsed_time": "20:14:45", "remaining_time": "11 days, 14:01:06"} +{"current_steps": 1695, "total_steps": 24897, "loss": 0.9641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025425, "epoch": 0.2, "percentage": 6.81, "elapsed_time": "20:17:37", "remaining_time": "11 days, 13:47:30"} +{"current_steps": 1700, "total_steps": 24897, "loss": 1.029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025499999999999996, "epoch": 0.2, "percentage": 6.83, "elapsed_time": "20:20:29", "remaining_time": "11 days, 13:33:56"} +{"current_steps": 1705, "total_steps": 24897, "loss": 1.0251, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025575, "epoch": 0.21, "percentage": 6.85, "elapsed_time": "20:23:26", "remaining_time": "11 days, 13:21:39"} +{"current_steps": 1710, "total_steps": 24897, "loss": 1.0629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025649999999999995, "epoch": 0.21, "percentage": 6.87, "elapsed_time": "20:26:16", "remaining_time": "11 days, 13:07:52"} +{"current_steps": 1715, "total_steps": 24897, "loss": 1.0581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025725, "epoch": 0.21, "percentage": 6.89, "elapsed_time": "20:29:06", "remaining_time": "11 days, 12:54:08"} +{"current_steps": 1720, "total_steps": 24897, "loss": 0.939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000258, "epoch": 0.21, "percentage": 6.91, "elapsed_time": "20:31:57", "remaining_time": "11 days, 12:40:32"} +{"current_steps": 1725, "total_steps": 24897, "loss": 1.0293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025875, "epoch": 0.21, "percentage": 6.93, "elapsed_time": "20:34:47", "remaining_time": "11 days, 12:27:00"} +{"current_steps": 1730, "total_steps": 24897, "loss": 1.0984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025949999999999997, "epoch": 0.21, "percentage": 6.95, "elapsed_time": "20:37:37", "remaining_time": "11 days, 12:13:29"} +{"current_steps": 1735, "total_steps": 24897, "loss": 1.0645, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026025, "epoch": 0.21, "percentage": 6.97, "elapsed_time": "20:40:27", "remaining_time": "11 days, 12:00:01"} +{"current_steps": 1740, "total_steps": 24897, "loss": 1.0271, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000261, "epoch": 0.21, "percentage": 6.99, "elapsed_time": "20:43:17", "remaining_time": "11 days, 11:46:35"} +{"current_steps": 1745, "total_steps": 24897, "loss": 0.9973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026175, "epoch": 0.21, "percentage": 7.01, "elapsed_time": "20:46:07", "remaining_time": "11 days, 11:33:11"} +{"current_steps": 1750, "total_steps": 24897, "loss": 1.0968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002625, "epoch": 0.21, "percentage": 7.03, "elapsed_time": "20:48:57", "remaining_time": "11 days, 11:19:53"} +{"current_steps": 1755, "total_steps": 24897, "loss": 1.084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026325, "epoch": 0.21, "percentage": 7.05, "elapsed_time": "20:51:47", "remaining_time": "11 days, 11:06:37"} +{"current_steps": 1760, "total_steps": 24897, "loss": 1.0843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026399999999999997, "epoch": 0.21, "percentage": 7.07, "elapsed_time": "20:54:38", "remaining_time": "11 days, 10:53:26"} +{"current_steps": 1765, "total_steps": 24897, "loss": 1.0448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026474999999999996, "epoch": 0.21, "percentage": 7.09, "elapsed_time": "20:57:28", "remaining_time": "11 days, 10:40:18"} +{"current_steps": 1770, "total_steps": 24897, "loss": 1.0078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002655, "epoch": 0.21, "percentage": 7.11, "elapsed_time": "21:00:18", "remaining_time": "11 days, 10:27:13"} +{"current_steps": 1775, "total_steps": 24897, "loss": 1.0496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026624999999999994, "epoch": 0.21, "percentage": 7.13, "elapsed_time": "21:03:08", "remaining_time": "11 days, 10:14:13"} +{"current_steps": 1780, "total_steps": 24897, "loss": 1.0945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000267, "epoch": 0.21, "percentage": 7.15, "elapsed_time": "21:05:58", "remaining_time": "11 days, 10:01:15"} +{"current_steps": 1785, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026775, "epoch": 0.22, "percentage": 7.17, "elapsed_time": "21:08:48", "remaining_time": "11 days, 9:48:22"} +{"current_steps": 1790, "total_steps": 24897, "loss": 1.0589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026849999999999997, "epoch": 0.22, "percentage": 7.19, "elapsed_time": "21:11:38", "remaining_time": "11 days, 9:35:27"} +{"current_steps": 1795, "total_steps": 24897, "loss": 1.1256, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026924999999999996, "epoch": 0.22, "percentage": 7.21, "elapsed_time": "21:14:27", "remaining_time": "11 days, 9:22:36"} +{"current_steps": 1800, "total_steps": 24897, "loss": 1.1417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027, "epoch": 0.22, "percentage": 7.23, "elapsed_time": "21:17:17", "remaining_time": "11 days, 9:09:46"} +{"current_steps": 1805, "total_steps": 24897, "loss": 1.0219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027074999999999994, "epoch": 0.22, "percentage": 7.25, "elapsed_time": "21:20:09", "remaining_time": "11 days, 8:57:30"} +{"current_steps": 1810, "total_steps": 24897, "loss": 1.0597, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002715, "epoch": 0.22, "percentage": 7.27, "elapsed_time": "21:22:59", "remaining_time": "11 days, 8:44:50"} +{"current_steps": 1815, "total_steps": 24897, "loss": 1.0887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027225, "epoch": 0.22, "percentage": 7.29, "elapsed_time": "21:25:48", "remaining_time": "11 days, 8:32:11"} +{"current_steps": 1820, "total_steps": 24897, "loss": 1.0228, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027299999999999997, "epoch": 0.22, "percentage": 7.31, "elapsed_time": "21:28:38", "remaining_time": "11 days, 8:19:34"} +{"current_steps": 1825, "total_steps": 24897, "loss": 1.0877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027374999999999996, "epoch": 0.22, "percentage": 7.33, "elapsed_time": "21:31:28", "remaining_time": "11 days, 8:07:02"} +{"current_steps": 1830, "total_steps": 24897, "loss": 1.1167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002745, "epoch": 0.22, "percentage": 7.35, "elapsed_time": "21:34:18", "remaining_time": "11 days, 7:54:35"} +{"current_steps": 1835, "total_steps": 24897, "loss": 1.0937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027525, "epoch": 0.22, "percentage": 7.37, "elapsed_time": "21:37:07", "remaining_time": "11 days, 7:42:10"} +{"current_steps": 1840, "total_steps": 24897, "loss": 1.0565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000276, "epoch": 0.22, "percentage": 7.39, "elapsed_time": "21:39:57", "remaining_time": "11 days, 7:29:48"} +{"current_steps": 1845, "total_steps": 24897, "loss": 1.0881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027675, "epoch": 0.22, "percentage": 7.41, "elapsed_time": "21:42:47", "remaining_time": "11 days, 7:17:29"} +{"current_steps": 1850, "total_steps": 24897, "loss": 0.9696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027749999999999997, "epoch": 0.22, "percentage": 7.43, "elapsed_time": "21:45:37", "remaining_time": "11 days, 7:05:12"} +{"current_steps": 1855, "total_steps": 24897, "loss": 0.9847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027824999999999996, "epoch": 0.22, "percentage": 7.45, "elapsed_time": "21:48:26", "remaining_time": "11 days, 6:52:58"} +{"current_steps": 1860, "total_steps": 24897, "loss": 0.9863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000279, "epoch": 0.22, "percentage": 7.47, "elapsed_time": "21:51:16", "remaining_time": "11 days, 6:40:46"} +{"current_steps": 1865, "total_steps": 24897, "loss": 1.0724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027975, "epoch": 0.22, "percentage": 7.49, "elapsed_time": "21:54:06", "remaining_time": "11 days, 6:28:38"} +{"current_steps": 1870, "total_steps": 24897, "loss": 1.0886, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002805, "epoch": 0.23, "percentage": 7.51, "elapsed_time": "21:56:55", "remaining_time": "11 days, 6:16:33"} +{"current_steps": 1875, "total_steps": 24897, "loss": 1.047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028125, "epoch": 0.23, "percentage": 7.53, "elapsed_time": "21:59:45", "remaining_time": "11 days, 6:04:31"} +{"current_steps": 1880, "total_steps": 24897, "loss": 1.0192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028199999999999997, "epoch": 0.23, "percentage": 7.55, "elapsed_time": "22:02:35", "remaining_time": "11 days, 5:52:35"} +{"current_steps": 1885, "total_steps": 24897, "loss": 0.9855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028274999999999996, "epoch": 0.23, "percentage": 7.57, "elapsed_time": "22:05:25", "remaining_time": "11 days, 5:40:39"} +{"current_steps": 1890, "total_steps": 24897, "loss": 1.0242, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028349999999999995, "epoch": 0.23, "percentage": 7.59, "elapsed_time": "22:08:15", "remaining_time": "11 days, 5:28:51"} +{"current_steps": 1895, "total_steps": 24897, "loss": 1.075, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028425, "epoch": 0.23, "percentage": 7.61, "elapsed_time": "22:11:05", "remaining_time": "11 days, 5:17:04"} +{"current_steps": 1900, "total_steps": 24897, "loss": 1.0011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000285, "epoch": 0.23, "percentage": 7.63, "elapsed_time": "22:13:54", "remaining_time": "11 days, 5:05:17"} +{"current_steps": 1905, "total_steps": 24897, "loss": 1.0065, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028575, "epoch": 0.23, "percentage": 7.65, "elapsed_time": "22:16:56", "remaining_time": "11 days, 4:55:58"} +{"current_steps": 1910, "total_steps": 24897, "loss": 0.9631, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028649999999999997, "epoch": 0.23, "percentage": 7.67, "elapsed_time": "22:19:46", "remaining_time": "11 days, 4:44:20"} +{"current_steps": 1915, "total_steps": 24897, "loss": 1.0565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028724999999999996, "epoch": 0.23, "percentage": 7.69, "elapsed_time": "22:22:36", "remaining_time": "11 days, 4:32:42"} +{"current_steps": 1920, "total_steps": 24897, "loss": 0.9725, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028799999999999995, "epoch": 0.23, "percentage": 7.71, "elapsed_time": "22:25:26", "remaining_time": "11 days, 4:21:06"} +{"current_steps": 1925, "total_steps": 24897, "loss": 0.9782, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028875, "epoch": 0.23, "percentage": 7.73, "elapsed_time": "22:28:16", "remaining_time": "11 days, 4:09:34"} +{"current_steps": 1930, "total_steps": 24897, "loss": 1.0521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002895, "epoch": 0.23, "percentage": 7.75, "elapsed_time": "22:31:06", "remaining_time": "11 days, 3:58:06"} +{"current_steps": 1935, "total_steps": 24897, "loss": 1.0596, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029025, "epoch": 0.23, "percentage": 7.77, "elapsed_time": "22:33:55", "remaining_time": "11 days, 3:46:38"} +{"current_steps": 1940, "total_steps": 24897, "loss": 1.0307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029099999999999997, "epoch": 0.23, "percentage": 7.79, "elapsed_time": "22:36:45", "remaining_time": "11 days, 3:35:17"} +{"current_steps": 1945, "total_steps": 24897, "loss": 1.0676, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029174999999999996, "epoch": 0.23, "percentage": 7.81, "elapsed_time": "22:39:36", "remaining_time": "11 days, 3:24:02"} +{"current_steps": 1950, "total_steps": 24897, "loss": 0.9044, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029249999999999995, "epoch": 0.23, "percentage": 7.83, "elapsed_time": "22:42:25", "remaining_time": "11 days, 3:12:40"} +{"current_steps": 1955, "total_steps": 24897, "loss": 1.0849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029325, "epoch": 0.24, "percentage": 7.85, "elapsed_time": "22:45:15", "remaining_time": "11 days, 3:01:22"} +{"current_steps": 1960, "total_steps": 24897, "loss": 1.0698, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000294, "epoch": 0.24, "percentage": 7.87, "elapsed_time": "22:48:05", "remaining_time": "11 days, 2:50:08"} +{"current_steps": 1965, "total_steps": 24897, "loss": 1.0747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029475, "epoch": 0.24, "percentage": 7.89, "elapsed_time": "22:50:55", "remaining_time": "11 days, 2:39:01"} +{"current_steps": 1970, "total_steps": 24897, "loss": 1.0289, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029549999999999997, "epoch": 0.24, "percentage": 7.91, "elapsed_time": "22:53:45", "remaining_time": "11 days, 2:27:52"} +{"current_steps": 1975, "total_steps": 24897, "loss": 1.0552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029624999999999996, "epoch": 0.24, "percentage": 7.93, "elapsed_time": "22:56:35", "remaining_time": "11 days, 2:16:43"} +{"current_steps": 1980, "total_steps": 24897, "loss": 1.103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029699999999999996, "epoch": 0.24, "percentage": 7.95, "elapsed_time": "22:59:25", "remaining_time": "11 days, 2:05:42"} +{"current_steps": 1985, "total_steps": 24897, "loss": 1.0814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029775, "epoch": 0.24, "percentage": 7.97, "elapsed_time": "23:02:14", "remaining_time": "11 days, 1:54:39"} +{"current_steps": 1990, "total_steps": 24897, "loss": 0.9313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002985, "epoch": 0.24, "percentage": 7.99, "elapsed_time": "23:05:04", "remaining_time": "11 days, 1:43:39"} +{"current_steps": 1995, "total_steps": 24897, "loss": 0.9898, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029925, "epoch": 0.24, "percentage": 8.01, "elapsed_time": "23:07:53", "remaining_time": "11 days, 1:32:40"} +{"current_steps": 2000, "total_steps": 24897, "loss": 1.0522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0003, "epoch": 0.24, "percentage": 8.03, "elapsed_time": "23:10:43", "remaining_time": "11 days, 1:21:47"} +{"current_steps": 2005, "total_steps": 24897, "loss": 1.1033, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999999647025093, "epoch": 0.24, "percentage": 8.05, "elapsed_time": "23:13:34", "remaining_time": "11 days, 1:11:09"} +{"current_steps": 2010, "total_steps": 24897, "loss": 1.024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999998588100539, "epoch": 0.24, "percentage": 8.07, "elapsed_time": "23:16:25", "remaining_time": "11 days, 1:00:24"} +{"current_steps": 2015, "total_steps": 24897, "loss": 1.055, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999996823226836, "epoch": 0.24, "percentage": 8.09, "elapsed_time": "23:19:14", "remaining_time": "11 days, 0:49:36"} +{"current_steps": 2020, "total_steps": 24897, "loss": 1.0728, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999943524048147, "epoch": 0.24, "percentage": 8.11, "elapsed_time": "23:22:04", "remaining_time": "11 days, 0:38:50"} +{"current_steps": 2025, "total_steps": 24897, "loss": 1.0962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999911756356377, "epoch": 0.24, "percentage": 8.13, "elapsed_time": "23:24:54", "remaining_time": "11 days, 0:28:07"} +{"current_steps": 2030, "total_steps": 24897, "loss": 0.9992, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999872929208, "epoch": 0.24, "percentage": 8.15, "elapsed_time": "23:27:43", "remaining_time": "11 days, 0:17:25"} +{"current_steps": 2035, "total_steps": 24897, "loss": 0.9902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299998270426213, "epoch": 0.25, "percentage": 8.17, "elapsed_time": "23:30:33", "remaining_time": "11 days, 0:06:47"} +{"current_steps": 2040, "total_steps": 24897, "loss": 1.0294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999977409661786, "epoch": 0.25, "percentage": 8.19, "elapsed_time": "23:33:23", "remaining_time": "10 days, 23:56:11"} +{"current_steps": 2045, "total_steps": 24897, "loss": 0.9604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999714091222604, "epoch": 0.25, "percentage": 8.21, "elapsed_time": "23:36:13", "remaining_time": "10 days, 23:45:38"} +{"current_steps": 2050, "total_steps": 24897, "loss": 0.9744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999964702646377, "epoch": 0.25, "percentage": 8.23, "elapsed_time": "23:39:02", "remaining_time": "10 days, 23:35:06"} +{"current_steps": 2055, "total_steps": 24897, "loss": 0.9179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999572902372925, "epoch": 0.25, "percentage": 8.25, "elapsed_time": "23:41:52", "remaining_time": "10 days, 23:24:38"} +{"current_steps": 2060, "total_steps": 24897, "loss": 1.0588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999491718984945, "epoch": 0.25, "percentage": 8.27, "elapsed_time": "23:44:42", "remaining_time": "10 days, 23:14:11"} +{"current_steps": 2065, "total_steps": 24897, "loss": 0.9972, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999403476338053, "epoch": 0.25, "percentage": 8.29, "elapsed_time": "23:47:32", "remaining_time": "10 days, 23:03:45"} +{"current_steps": 2070, "total_steps": 24897, "loss": 1.01, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999930817447377, "epoch": 0.25, "percentage": 8.31, "elapsed_time": "23:50:21", "remaining_time": "10 days, 22:53:23"} +{"current_steps": 2075, "total_steps": 24897, "loss": 1.1015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999205813436945, "epoch": 0.25, "percentage": 8.33, "elapsed_time": "23:53:11", "remaining_time": "10 days, 22:43:03"} +{"current_steps": 2080, "total_steps": 24897, "loss": 1.0002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029999096393275754, "epoch": 0.25, "percentage": 8.35, "elapsed_time": "23:56:01", "remaining_time": "10 days, 22:32:48"} +{"current_steps": 2085, "total_steps": 24897, "loss": 1.1162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299989799140417, "epoch": 0.25, "percentage": 8.37, "elapsed_time": "23:58:51", "remaining_time": "10 days, 22:22:31"} +{"current_steps": 2090, "total_steps": 24897, "loss": 0.9408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029998856375789594, "epoch": 0.25, "percentage": 8.39, "elapsed_time": "1 day, 0:01:41", "remaining_time": "10 days, 22:12:18"} +{"current_steps": 2095, "total_steps": 24897, "loss": 1.0336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029998725778577584, "epoch": 0.25, "percentage": 8.41, "elapsed_time": "1 day, 0:04:30", "remaining_time": "10 days, 22:02:06"} +{"current_steps": 2100, "total_steps": 24897, "loss": 1.0623, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999858812246713, "epoch": 0.25, "percentage": 8.43, "elapsed_time": "1 day, 0:07:20", "remaining_time": "10 days, 21:51:56"} +{"current_steps": 2105, "total_steps": 24897, "loss": 1.0793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999844340752302, "epoch": 0.25, "percentage": 8.45, "elapsed_time": "1 day, 0:10:15", "remaining_time": "10 days, 21:42:46"} +{"current_steps": 2110, "total_steps": 24897, "loss": 1.0003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029998291633813353, "epoch": 0.25, "percentage": 8.47, "elapsed_time": "1 day, 0:13:05", "remaining_time": "10 days, 21:32:40"} +{"current_steps": 2115, "total_steps": 24897, "loss": 1.0309, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029998132801409565, "epoch": 0.25, "percentage": 8.49, "elapsed_time": "1 day, 0:15:54", "remaining_time": "10 days, 21:22:34"} +{"current_steps": 2120, "total_steps": 24897, "loss": 1.0758, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029997966910386413, "epoch": 0.26, "percentage": 8.52, "elapsed_time": "1 day, 0:18:44", "remaining_time": "10 days, 21:12:31"} +{"current_steps": 2125, "total_steps": 24897, "loss": 1.1534, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029997793960821967, "epoch": 0.26, "percentage": 8.54, "elapsed_time": "1 day, 0:21:34", "remaining_time": "10 days, 21:02:30"} +{"current_steps": 2130, "total_steps": 24897, "loss": 0.9605, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029997613952797617, "epoch": 0.26, "percentage": 8.56, "elapsed_time": "1 day, 0:24:23", "remaining_time": "10 days, 20:52:32"} +{"current_steps": 2135, "total_steps": 24897, "loss": 1.0272, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029997426886398094, "epoch": 0.26, "percentage": 8.58, "elapsed_time": "1 day, 0:27:13", "remaining_time": "10 days, 20:42:36"} +{"current_steps": 2140, "total_steps": 24897, "loss": 1.0924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029997232761711423, "epoch": 0.26, "percentage": 8.6, "elapsed_time": "1 day, 0:30:03", "remaining_time": "10 days, 20:32:42"} +{"current_steps": 2145, "total_steps": 24897, "loss": 1.1073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999703157882897, "epoch": 0.26, "percentage": 8.62, "elapsed_time": "1 day, 0:32:52", "remaining_time": "10 days, 20:22:50"} +{"current_steps": 2150, "total_steps": 24897, "loss": 1.0108, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999682333784542, "epoch": 0.26, "percentage": 8.64, "elapsed_time": "1 day, 0:35:42", "remaining_time": "10 days, 20:13:00"} +{"current_steps": 2155, "total_steps": 24897, "loss": 1.0614, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999660803885878, "epoch": 0.26, "percentage": 8.66, "elapsed_time": "1 day, 0:38:32", "remaining_time": "10 days, 20:03:10"} +{"current_steps": 2160, "total_steps": 24897, "loss": 1.0051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029996385681970377, "epoch": 0.26, "percentage": 8.68, "elapsed_time": "1 day, 0:41:21", "remaining_time": "10 days, 19:53:24"} +{"current_steps": 2165, "total_steps": 24897, "loss": 0.9862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999615626728486, "epoch": 0.26, "percentage": 8.7, "elapsed_time": "1 day, 0:44:11", "remaining_time": "10 days, 19:43:39"} +{"current_steps": 2170, "total_steps": 24897, "loss": 1.0046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029995919794910186, "epoch": 0.26, "percentage": 8.72, "elapsed_time": "1 day, 0:47:01", "remaining_time": "10 days, 19:33:56"} +{"current_steps": 2175, "total_steps": 24897, "loss": 1.0005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029995676264957667, "epoch": 0.26, "percentage": 8.74, "elapsed_time": "1 day, 0:49:50", "remaining_time": "10 days, 19:24:15"} +{"current_steps": 2180, "total_steps": 24897, "loss": 0.9917, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299954256775419, "epoch": 0.26, "percentage": 8.76, "elapsed_time": "1 day, 0:52:40", "remaining_time": "10 days, 19:14:34"} +{"current_steps": 2185, "total_steps": 24897, "loss": 1.0336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029995168032780826, "epoch": 0.26, "percentage": 8.78, "elapsed_time": "1 day, 0:55:29", "remaining_time": "10 days, 19:04:56"} +{"current_steps": 2190, "total_steps": 24897, "loss": 0.9864, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999490333079571, "epoch": 0.26, "percentage": 8.8, "elapsed_time": "1 day, 0:58:19", "remaining_time": "10 days, 18:55:22"} +{"current_steps": 2195, "total_steps": 24897, "loss": 1.0274, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029994631571711114, "epoch": 0.26, "percentage": 8.82, "elapsed_time": "1 day, 1:01:09", "remaining_time": "10 days, 18:45:49"} +{"current_steps": 2200, "total_steps": 24897, "loss": 1.0693, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999435275565495, "epoch": 0.27, "percentage": 8.84, "elapsed_time": "1 day, 1:03:58", "remaining_time": "10 days, 18:36:17"} +{"current_steps": 2205, "total_steps": 24897, "loss": 0.958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029994066882758425, "epoch": 0.27, "percentage": 8.86, "elapsed_time": "1 day, 1:06:50", "remaining_time": "10 days, 18:27:11"} +{"current_steps": 2210, "total_steps": 24897, "loss": 1.1011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029993773953156095, "epoch": 0.27, "percentage": 8.88, "elapsed_time": "1 day, 1:09:40", "remaining_time": "10 days, 18:17:44"} +{"current_steps": 2215, "total_steps": 24897, "loss": 1.0161, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999347396698581, "epoch": 0.27, "percentage": 8.9, "elapsed_time": "1 day, 1:12:30", "remaining_time": "10 days, 18:08:21"} +{"current_steps": 2220, "total_steps": 24897, "loss": 0.9996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029993166924388755, "epoch": 0.27, "percentage": 8.92, "elapsed_time": "1 day, 1:15:20", "remaining_time": "10 days, 17:58:56"} +{"current_steps": 2225, "total_steps": 24897, "loss": 1.0186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029992852825509443, "epoch": 0.27, "percentage": 8.94, "elapsed_time": "1 day, 1:18:09", "remaining_time": "10 days, 17:49:32"} +{"current_steps": 2230, "total_steps": 24897, "loss": 1.1264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029992531670495695, "epoch": 0.27, "percentage": 8.96, "elapsed_time": "1 day, 1:20:59", "remaining_time": "10 days, 17:40:11"} +{"current_steps": 2235, "total_steps": 24897, "loss": 1.0645, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029992203459498654, "epoch": 0.27, "percentage": 8.98, "elapsed_time": "1 day, 1:23:48", "remaining_time": "10 days, 17:30:53"} +{"current_steps": 2240, "total_steps": 24897, "loss": 1.004, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999186819267279, "epoch": 0.27, "percentage": 9.0, "elapsed_time": "1 day, 1:26:38", "remaining_time": "10 days, 17:21:36"} +{"current_steps": 2245, "total_steps": 24897, "loss": 1.0212, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999152587017589, "epoch": 0.27, "percentage": 9.02, "elapsed_time": "1 day, 1:29:28", "remaining_time": "10 days, 17:12:22"} +{"current_steps": 2250, "total_steps": 24897, "loss": 1.0053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999117649216906, "epoch": 0.27, "percentage": 9.04, "elapsed_time": "1 day, 1:32:18", "remaining_time": "10 days, 17:03:09"} +{"current_steps": 2255, "total_steps": 24897, "loss": 0.991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999082005881673, "epoch": 0.27, "percentage": 9.06, "elapsed_time": "1 day, 1:35:07", "remaining_time": "10 days, 16:53:55"} +{"current_steps": 2260, "total_steps": 24897, "loss": 0.9868, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002999045657028666, "epoch": 0.27, "percentage": 9.08, "elapsed_time": "1 day, 1:37:57", "remaining_time": "10 days, 16:44:44"} +{"current_steps": 2265, "total_steps": 24897, "loss": 0.9966, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299900860267499, "epoch": 0.27, "percentage": 9.1, "elapsed_time": "1 day, 1:40:47", "remaining_time": "10 days, 16:35:35"} +{"current_steps": 2270, "total_steps": 24897, "loss": 1.0268, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998970842838086, "epoch": 0.27, "percentage": 9.12, "elapsed_time": "1 day, 1:43:36", "remaining_time": "10 days, 16:26:28"} +{"current_steps": 2275, "total_steps": 24897, "loss": 1.1297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998932377535723, "epoch": 0.27, "percentage": 9.14, "elapsed_time": "1 day, 1:46:26", "remaining_time": "10 days, 16:17:23"} +{"current_steps": 2280, "total_steps": 24897, "loss": 1.0403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998893206786006, "epoch": 0.27, "percentage": 9.16, "elapsed_time": "1 day, 1:49:15", "remaining_time": "10 days, 16:08:18"} +{"current_steps": 2285, "total_steps": 24897, "loss": 1.0732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998853330607369, "epoch": 0.28, "percentage": 9.18, "elapsed_time": "1 day, 1:52:05", "remaining_time": "10 days, 15:59:15"} +{"current_steps": 2290, "total_steps": 24897, "loss": 1.0225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998812749018579, "epoch": 0.28, "percentage": 9.2, "elapsed_time": "1 day, 1:54:55", "remaining_time": "10 days, 15:50:16"} +{"current_steps": 2295, "total_steps": 24897, "loss": 0.9712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998771462038735, "epoch": 0.28, "percentage": 9.22, "elapsed_time": "1 day, 1:57:44", "remaining_time": "10 days, 15:41:17"} +{"current_steps": 2300, "total_steps": 24897, "loss": 1.0717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029987294696872687, "epoch": 0.28, "percentage": 9.24, "elapsed_time": "1 day, 2:00:34", "remaining_time": "10 days, 15:32:19"} +{"current_steps": 2305, "total_steps": 24897, "loss": 1.1024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029986867719839427, "epoch": 0.28, "percentage": 9.26, "elapsed_time": "1 day, 2:03:25", "remaining_time": "10 days, 15:23:39"} +{"current_steps": 2310, "total_steps": 24897, "loss": 1.0141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029986433689488515, "epoch": 0.28, "percentage": 9.28, "elapsed_time": "1 day, 2:06:15", "remaining_time": "10 days, 15:14:45"} +{"current_steps": 2315, "total_steps": 24897, "loss": 1.0205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998599260602423, "epoch": 0.28, "percentage": 9.3, "elapsed_time": "1 day, 2:09:05", "remaining_time": "10 days, 15:05:51"} +{"current_steps": 2320, "total_steps": 24897, "loss": 1.0232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029985544469654155, "epoch": 0.28, "percentage": 9.32, "elapsed_time": "1 day, 2:11:54", "remaining_time": "10 days, 14:56:59"} +{"current_steps": 2325, "total_steps": 24897, "loss": 0.9793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299850892805892, "epoch": 0.28, "percentage": 9.34, "elapsed_time": "1 day, 2:14:44", "remaining_time": "10 days, 14:48:10"} +{"current_steps": 2330, "total_steps": 24897, "loss": 0.9961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029984627039043583, "epoch": 0.28, "percentage": 9.36, "elapsed_time": "1 day, 2:17:33", "remaining_time": "10 days, 14:39:21"} +{"current_steps": 2335, "total_steps": 24897, "loss": 0.9796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998415774523486, "epoch": 0.28, "percentage": 9.38, "elapsed_time": "1 day, 2:20:23", "remaining_time": "10 days, 14:30:34"} +{"current_steps": 2340, "total_steps": 24897, "loss": 1.0223, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029983681399383896, "epoch": 0.28, "percentage": 9.4, "elapsed_time": "1 day, 2:23:13", "remaining_time": "10 days, 14:21:48"} +{"current_steps": 2345, "total_steps": 24897, "loss": 1.0694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029983198001714873, "epoch": 0.28, "percentage": 9.42, "elapsed_time": "1 day, 2:26:02", "remaining_time": "10 days, 14:13:05"} +{"current_steps": 2350, "total_steps": 24897, "loss": 1.0747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029982707552455293, "epoch": 0.28, "percentage": 9.44, "elapsed_time": "1 day, 2:28:52", "remaining_time": "10 days, 14:04:23"} +{"current_steps": 2355, "total_steps": 24897, "loss": 1.0519, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998221005183598, "epoch": 0.28, "percentage": 9.46, "elapsed_time": "1 day, 2:31:41", "remaining_time": "10 days, 13:55:41"} +{"current_steps": 2360, "total_steps": 24897, "loss": 1.1093, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998170550009107, "epoch": 0.28, "percentage": 9.48, "elapsed_time": "1 day, 2:34:31", "remaining_time": "10 days, 13:47:00"} +{"current_steps": 2365, "total_steps": 24897, "loss": 1.029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998119389745802, "epoch": 0.28, "percentage": 9.5, "elapsed_time": "1 day, 2:37:21", "remaining_time": "10 days, 13:38:25"} +{"current_steps": 2370, "total_steps": 24897, "loss": 0.8991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002998067524417762, "epoch": 0.29, "percentage": 9.52, "elapsed_time": "1 day, 2:40:10", "remaining_time": "10 days, 13:29:47"} +{"current_steps": 2375, "total_steps": 24897, "loss": 1.0849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029980149540493955, "epoch": 0.29, "percentage": 9.54, "elapsed_time": "1 day, 2:43:00", "remaining_time": "10 days, 13:21:12"} +{"current_steps": 2380, "total_steps": 24897, "loss": 1.0498, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997961678665444, "epoch": 0.29, "percentage": 9.56, "elapsed_time": "1 day, 2:45:50", "remaining_time": "10 days, 13:12:40"} +{"current_steps": 2385, "total_steps": 24897, "loss": 0.9695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997907698290981, "epoch": 0.29, "percentage": 9.58, "elapsed_time": "1 day, 2:48:39", "remaining_time": "10 days, 13:04:06"} +{"current_steps": 2390, "total_steps": 24897, "loss": 0.9936, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997853012951411, "epoch": 0.29, "percentage": 9.6, "elapsed_time": "1 day, 2:51:29", "remaining_time": "10 days, 12:55:38"} +{"current_steps": 2395, "total_steps": 24897, "loss": 1.0893, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029977976226724706, "epoch": 0.29, "percentage": 9.62, "elapsed_time": "1 day, 2:54:18", "remaining_time": "10 days, 12:47:08"} +{"current_steps": 2400, "total_steps": 24897, "loss": 1.0602, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029977415274802294, "epoch": 0.29, "percentage": 9.64, "elapsed_time": "1 day, 2:57:08", "remaining_time": "10 days, 12:38:41"} +{"current_steps": 2405, "total_steps": 24897, "loss": 1.0371, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997684727401086, "epoch": 0.29, "percentage": 9.66, "elapsed_time": "1 day, 3:00:05", "remaining_time": "10 days, 12:31:19"} +{"current_steps": 2410, "total_steps": 24897, "loss": 1.0003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029976272224617744, "epoch": 0.29, "percentage": 9.68, "elapsed_time": "1 day, 3:02:54", "remaining_time": "10 days, 12:22:55"} +{"current_steps": 2415, "total_steps": 24897, "loss": 1.017, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029975690126893566, "epoch": 0.29, "percentage": 9.7, "elapsed_time": "1 day, 3:05:44", "remaining_time": "10 days, 12:14:30"} +{"current_steps": 2420, "total_steps": 24897, "loss": 1.0058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029975100981112284, "epoch": 0.29, "percentage": 9.72, "elapsed_time": "1 day, 3:08:33", "remaining_time": "10 days, 12:06:05"} +{"current_steps": 2425, "total_steps": 24897, "loss": 0.9911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997450478755118, "epoch": 0.29, "percentage": 9.74, "elapsed_time": "1 day, 3:11:23", "remaining_time": "10 days, 11:57:44"} +{"current_steps": 2430, "total_steps": 24897, "loss": 1.0665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997390154649083, "epoch": 0.29, "percentage": 9.76, "elapsed_time": "1 day, 3:14:12", "remaining_time": "10 days, 11:49:23"} +{"current_steps": 2435, "total_steps": 24897, "loss": 0.9779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997329125821515, "epoch": 0.29, "percentage": 9.78, "elapsed_time": "1 day, 3:17:02", "remaining_time": "10 days, 11:41:04"} +{"current_steps": 2440, "total_steps": 24897, "loss": 1.0496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997267392301135, "epoch": 0.29, "percentage": 9.8, "elapsed_time": "1 day, 3:19:53", "remaining_time": "10 days, 11:32:59"} +{"current_steps": 2445, "total_steps": 24897, "loss": 0.9899, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029972049541169974, "epoch": 0.29, "percentage": 9.82, "elapsed_time": "1 day, 3:23:20", "remaining_time": "10 days, 11:30:30"} +{"current_steps": 2450, "total_steps": 24897, "loss": 1.061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029971418112984883, "epoch": 0.3, "percentage": 9.84, "elapsed_time": "1 day, 3:27:04", "remaining_time": "10 days, 11:30:33"} +{"current_steps": 2455, "total_steps": 24897, "loss": 1.0424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002997077963875324, "epoch": 0.3, "percentage": 9.86, "elapsed_time": "1 day, 3:30:46", "remaining_time": "10 days, 11:30:16"} +{"current_steps": 2460, "total_steps": 24897, "loss": 0.9602, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029970134118775533, "epoch": 0.3, "percentage": 9.88, "elapsed_time": "1 day, 3:34:27", "remaining_time": "10 days, 11:29:54"} +{"current_steps": 2465, "total_steps": 24897, "loss": 0.9836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029969481553355565, "epoch": 0.3, "percentage": 9.9, "elapsed_time": "1 day, 3:38:09", "remaining_time": "10 days, 11:29:33"} +{"current_steps": 2470, "total_steps": 24897, "loss": 0.9357, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996882194280046, "epoch": 0.3, "percentage": 9.92, "elapsed_time": "1 day, 3:41:50", "remaining_time": "10 days, 11:29:10"} +{"current_steps": 2475, "total_steps": 24897, "loss": 0.9737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996815528742065, "epoch": 0.3, "percentage": 9.94, "elapsed_time": "1 day, 3:45:33", "remaining_time": "10 days, 11:28:56"} +{"current_steps": 2480, "total_steps": 24897, "loss": 1.0039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029967481587529884, "epoch": 0.3, "percentage": 9.96, "elapsed_time": "1 day, 3:49:14", "remaining_time": "10 days, 11:28:28"} +{"current_steps": 2485, "total_steps": 24897, "loss": 1.0575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996680084344523, "epoch": 0.3, "percentage": 9.98, "elapsed_time": "1 day, 3:52:56", "remaining_time": "10 days, 11:28:03"} +{"current_steps": 2490, "total_steps": 24897, "loss": 0.9418, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996611305548707, "epoch": 0.3, "percentage": 10.0, "elapsed_time": "1 day, 3:56:37", "remaining_time": "10 days, 11:27:39"} +{"current_steps": 2495, "total_steps": 24897, "loss": 0.9875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996541822397909, "epoch": 0.3, "percentage": 10.02, "elapsed_time": "1 day, 4:00:19", "remaining_time": "10 days, 11:27:14"} +{"current_steps": 2500, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029964716349248306, "epoch": 0.3, "percentage": 10.04, "elapsed_time": "1 day, 4:04:01", "remaining_time": "10 days, 11:26:47"} +{"current_steps": 2505, "total_steps": 24897, "loss": 1.0491, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996400743162505, "epoch": 0.3, "percentage": 10.06, "elapsed_time": "1 day, 4:07:45", "remaining_time": "10 days, 11:26:43"} +{"current_steps": 2510, "total_steps": 24897, "loss": 0.9946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996329147144296, "epoch": 0.3, "percentage": 10.08, "elapsed_time": "1 day, 4:11:27", "remaining_time": "10 days, 11:26:19"} +{"current_steps": 2515, "total_steps": 24897, "loss": 0.9688, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996256846903898, "epoch": 0.3, "percentage": 10.1, "elapsed_time": "1 day, 4:15:10", "remaining_time": "10 days, 11:25:58"} +{"current_steps": 2520, "total_steps": 24897, "loss": 1.0, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029961838424753394, "epoch": 0.3, "percentage": 10.12, "elapsed_time": "1 day, 4:18:52", "remaining_time": "10 days, 11:25:35"} +{"current_steps": 2525, "total_steps": 24897, "loss": 0.9205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002996110133892978, "epoch": 0.3, "percentage": 10.14, "elapsed_time": "1 day, 4:22:34", "remaining_time": "10 days, 11:25:13"} +{"current_steps": 2530, "total_steps": 24897, "loss": 0.9877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029960357211915024, "epoch": 0.3, "percentage": 10.16, "elapsed_time": "1 day, 4:26:16", "remaining_time": "10 days, 11:24:41"} +{"current_steps": 2535, "total_steps": 24897, "loss": 1.0079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995960604405935, "epoch": 0.31, "percentage": 10.18, "elapsed_time": "1 day, 4:29:59", "remaining_time": "10 days, 11:24:21"} +{"current_steps": 2540, "total_steps": 24897, "loss": 0.8561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029958847835716285, "epoch": 0.31, "percentage": 10.2, "elapsed_time": "1 day, 4:33:43", "remaining_time": "10 days, 11:24:05"} +{"current_steps": 2545, "total_steps": 24897, "loss": 0.9245, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995808258724265, "epoch": 0.31, "percentage": 10.22, "elapsed_time": "1 day, 4:37:25", "remaining_time": "10 days, 11:23:37"} +{"current_steps": 2550, "total_steps": 24897, "loss": 1.0536, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029957310298998614, "epoch": 0.31, "percentage": 10.24, "elapsed_time": "1 day, 4:41:06", "remaining_time": "10 days, 11:23:03"} +{"current_steps": 2555, "total_steps": 24897, "loss": 0.9806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029956530971347634, "epoch": 0.31, "percentage": 10.26, "elapsed_time": "1 day, 4:44:48", "remaining_time": "10 days, 11:22:30"} +{"current_steps": 2560, "total_steps": 24897, "loss": 0.9849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995574460465648, "epoch": 0.31, "percentage": 10.28, "elapsed_time": "1 day, 4:48:31", "remaining_time": "10 days, 11:22:06"} +{"current_steps": 2565, "total_steps": 24897, "loss": 1.0159, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029954951199295257, "epoch": 0.31, "percentage": 10.3, "elapsed_time": "1 day, 4:52:15", "remaining_time": "10 days, 11:21:45"} +{"current_steps": 2570, "total_steps": 24897, "loss": 1.1316, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995415075563736, "epoch": 0.31, "percentage": 10.32, "elapsed_time": "1 day, 4:55:57", "remaining_time": "10 days, 11:21:12"} +{"current_steps": 2575, "total_steps": 24897, "loss": 0.9887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995334327405951, "epoch": 0.31, "percentage": 10.34, "elapsed_time": "1 day, 4:59:39", "remaining_time": "10 days, 11:20:37"} +{"current_steps": 2580, "total_steps": 24897, "loss": 1.0926, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029952528754941725, "epoch": 0.31, "percentage": 10.36, "elapsed_time": "1 day, 5:03:22", "remaining_time": "10 days, 11:20:08"} +{"current_steps": 2585, "total_steps": 24897, "loss": 0.9838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029951707198667347, "epoch": 0.31, "percentage": 10.38, "elapsed_time": "1 day, 5:07:04", "remaining_time": "10 days, 11:19:33"} +{"current_steps": 2590, "total_steps": 24897, "loss": 0.9467, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995087860562304, "epoch": 0.31, "percentage": 10.4, "elapsed_time": "1 day, 5:10:46", "remaining_time": "10 days, 11:19:01"} +{"current_steps": 2595, "total_steps": 24897, "loss": 1.0854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002995004297619875, "epoch": 0.31, "percentage": 10.42, "elapsed_time": "1 day, 5:14:29", "remaining_time": "10 days, 11:18:27"} +{"current_steps": 2600, "total_steps": 24897, "loss": 1.0174, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994920031078776, "epoch": 0.31, "percentage": 10.44, "elapsed_time": "1 day, 5:18:11", "remaining_time": "10 days, 11:17:52"} +{"current_steps": 2605, "total_steps": 24897, "loss": 1.0738, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994835060978666, "epoch": 0.31, "percentage": 10.46, "elapsed_time": "1 day, 5:21:57", "remaining_time": "10 days, 11:17:41"} +{"current_steps": 2610, "total_steps": 24897, "loss": 1.0006, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994749387359534, "epoch": 0.31, "percentage": 10.48, "elapsed_time": "1 day, 5:25:39", "remaining_time": "10 days, 11:17:09"} +{"current_steps": 2615, "total_steps": 24897, "loss": 1.0203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994663010261701, "epoch": 0.32, "percentage": 10.5, "elapsed_time": "1 day, 5:29:22", "remaining_time": "10 days, 11:16:33"} +{"current_steps": 2620, "total_steps": 24897, "loss": 0.9488, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000299457592972582, "epoch": 0.32, "percentage": 10.52, "elapsed_time": "1 day, 5:33:05", "remaining_time": "10 days, 11:16:00"} +{"current_steps": 2625, "total_steps": 24897, "loss": 0.9754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994488145792872, "epoch": 0.32, "percentage": 10.54, "elapsed_time": "1 day, 5:36:47", "remaining_time": "10 days, 11:15:19"} +{"current_steps": 2630, "total_steps": 24897, "loss": 1.1082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029943996585041736, "epoch": 0.32, "percentage": 10.56, "elapsed_time": "1 day, 5:40:30", "remaining_time": "10 days, 11:14:47"} +{"current_steps": 2635, "total_steps": 24897, "loss": 1.0511, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002994310467901367, "epoch": 0.32, "percentage": 10.58, "elapsed_time": "1 day, 5:44:12", "remaining_time": "10 days, 11:14:05"} +{"current_steps": 2640, "total_steps": 24897, "loss": 1.0272, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029942205740264306, "epoch": 0.32, "percentage": 10.6, "elapsed_time": "1 day, 5:47:56", "remaining_time": "10 days, 11:13:31"} +{"current_steps": 2645, "total_steps": 24897, "loss": 1.0257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029941299769216704, "epoch": 0.32, "percentage": 10.62, "elapsed_time": "1 day, 5:51:38", "remaining_time": "10 days, 11:12:47"} +{"current_steps": 2650, "total_steps": 24897, "loss": 0.965, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029940386766297246, "epoch": 0.32, "percentage": 10.64, "elapsed_time": "1 day, 5:55:20", "remaining_time": "10 days, 11:12:05"} +{"current_steps": 2655, "total_steps": 24897, "loss": 1.0942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029939466731935616, "epoch": 0.32, "percentage": 10.66, "elapsed_time": "1 day, 5:59:03", "remaining_time": "10 days, 11:11:24"} +{"current_steps": 2660, "total_steps": 24897, "loss": 0.9682, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993853966656482, "epoch": 0.32, "percentage": 10.68, "elapsed_time": "1 day, 6:02:45", "remaining_time": "10 days, 11:10:43"} +{"current_steps": 2665, "total_steps": 24897, "loss": 1.1369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993760557062117, "epoch": 0.32, "percentage": 10.7, "elapsed_time": "1 day, 6:06:28", "remaining_time": "10 days, 11:10:02"} +{"current_steps": 2670, "total_steps": 24897, "loss": 0.9354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993666444454426, "epoch": 0.32, "percentage": 10.72, "elapsed_time": "1 day, 6:10:11", "remaining_time": "10 days, 11:09:18"} +{"current_steps": 2675, "total_steps": 24897, "loss": 1.0449, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993571628877704, "epoch": 0.32, "percentage": 10.74, "elapsed_time": "1 day, 6:13:53", "remaining_time": "10 days, 11:08:33"} +{"current_steps": 2680, "total_steps": 24897, "loss": 0.9436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993476110376574, "epoch": 0.32, "percentage": 10.76, "elapsed_time": "1 day, 6:17:36", "remaining_time": "10 days, 11:07:48"} +{"current_steps": 2685, "total_steps": 24897, "loss": 1.0483, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993379888995989, "epoch": 0.32, "percentage": 10.78, "elapsed_time": "1 day, 6:21:18", "remaining_time": "10 days, 11:07:02"} +{"current_steps": 2690, "total_steps": 24897, "loss": 0.9826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029932829647812354, "epoch": 0.32, "percentage": 10.8, "elapsed_time": "1 day, 6:25:01", "remaining_time": "10 days, 11:06:19"} +{"current_steps": 2695, "total_steps": 24897, "loss": 1.0283, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002993185337777927, "epoch": 0.32, "percentage": 10.82, "elapsed_time": "1 day, 6:28:44", "remaining_time": "10 days, 11:05:35"} +{"current_steps": 2700, "total_steps": 24897, "loss": 0.9464, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029930870080320125, "epoch": 0.33, "percentage": 10.84, "elapsed_time": "1 day, 6:32:27", "remaining_time": "10 days, 11:04:51"} +{"current_steps": 2705, "total_steps": 24897, "loss": 1.0735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029929879755897674, "epoch": 0.33, "percentage": 10.86, "elapsed_time": "1 day, 6:36:12", "remaining_time": "10 days, 11:04:25"} +{"current_steps": 2710, "total_steps": 24897, "loss": 1.037, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992888240497801, "epoch": 0.33, "percentage": 10.88, "elapsed_time": "1 day, 6:39:55", "remaining_time": "10 days, 11:03:35"} +{"current_steps": 2715, "total_steps": 24897, "loss": 1.0028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992787802803051, "epoch": 0.33, "percentage": 10.9, "elapsed_time": "1 day, 6:43:37", "remaining_time": "10 days, 11:02:44"} +{"current_steps": 2720, "total_steps": 24897, "loss": 1.0732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992686662552787, "epoch": 0.33, "percentage": 10.93, "elapsed_time": "1 day, 6:47:19", "remaining_time": "10 days, 11:01:46"} +{"current_steps": 2725, "total_steps": 24897, "loss": 1.0009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992584819794609, "epoch": 0.33, "percentage": 10.95, "elapsed_time": "1 day, 6:51:02", "remaining_time": "10 days, 11:00:58"} +{"current_steps": 2730, "total_steps": 24897, "loss": 0.9573, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029924822745764485, "epoch": 0.33, "percentage": 10.97, "elapsed_time": "1 day, 6:54:44", "remaining_time": "10 days, 11:00:06"} +{"current_steps": 2735, "total_steps": 24897, "loss": 1.0878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992379026946565, "epoch": 0.33, "percentage": 10.99, "elapsed_time": "1 day, 6:58:27", "remaining_time": "10 days, 10:59:15"} +{"current_steps": 2740, "total_steps": 24897, "loss": 0.9797, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029922750769535505, "epoch": 0.33, "percentage": 11.01, "elapsed_time": "1 day, 7:02:09", "remaining_time": "10 days, 10:58:23"} +{"current_steps": 2745, "total_steps": 24897, "loss": 1.0398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029921704246463284, "epoch": 0.33, "percentage": 11.03, "elapsed_time": "1 day, 7:05:52", "remaining_time": "10 days, 10:57:28"} +{"current_steps": 2750, "total_steps": 24897, "loss": 0.9905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002992065070074151, "epoch": 0.33, "percentage": 11.05, "elapsed_time": "1 day, 7:09:34", "remaining_time": "10 days, 10:56:33"} +{"current_steps": 2755, "total_steps": 24897, "loss": 1.0302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002991959013286602, "epoch": 0.33, "percentage": 11.07, "elapsed_time": "1 day, 7:13:16", "remaining_time": "10 days, 10:55:34"} +{"current_steps": 2760, "total_steps": 24897, "loss": 0.9949, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029918522543335947, "epoch": 0.33, "percentage": 11.09, "elapsed_time": "1 day, 7:16:58", "remaining_time": "10 days, 10:54:34"} +{"current_steps": 2765, "total_steps": 24897, "loss": 0.9568, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029917447932653737, "epoch": 0.33, "percentage": 11.11, "elapsed_time": "1 day, 7:20:41", "remaining_time": "10 days, 10:53:44"} +{"current_steps": 2770, "total_steps": 24897, "loss": 1.0415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002991636630132513, "epoch": 0.33, "percentage": 11.13, "elapsed_time": "1 day, 7:24:23", "remaining_time": "10 days, 10:52:44"} +{"current_steps": 2775, "total_steps": 24897, "loss": 0.9368, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002991527764985919, "epoch": 0.33, "percentage": 11.15, "elapsed_time": "1 day, 7:28:06", "remaining_time": "10 days, 10:51:47"} +{"current_steps": 2780, "total_steps": 24897, "loss": 1.0478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029914181978768267, "epoch": 0.33, "percentage": 11.17, "elapsed_time": "1 day, 7:31:49", "remaining_time": "10 days, 10:50:56"} +{"current_steps": 2785, "total_steps": 24897, "loss": 1.0219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002991307928856802, "epoch": 0.34, "percentage": 11.19, "elapsed_time": "1 day, 7:35:32", "remaining_time": "10 days, 10:49:56"} +{"current_steps": 2790, "total_steps": 24897, "loss": 1.0253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029911969579777414, "epoch": 0.34, "percentage": 11.21, "elapsed_time": "1 day, 7:39:13", "remaining_time": "10 days, 10:48:50"} +{"current_steps": 2795, "total_steps": 24897, "loss": 1.0261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029910852852918713, "epoch": 0.34, "percentage": 11.23, "elapsed_time": "1 day, 7:42:56", "remaining_time": "10 days, 10:47:56"} +{"current_steps": 2800, "total_steps": 24897, "loss": 1.1051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990972910851748, "epoch": 0.34, "percentage": 11.25, "elapsed_time": "1 day, 7:46:39", "remaining_time": "10 days, 10:46:59"} +{"current_steps": 2805, "total_steps": 24897, "loss": 1.0066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990859834710259, "epoch": 0.34, "percentage": 11.27, "elapsed_time": "1 day, 7:50:23", "remaining_time": "10 days, 10:46:06"} +{"current_steps": 2810, "total_steps": 24897, "loss": 1.0197, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990746056920623, "epoch": 0.34, "percentage": 11.29, "elapsed_time": "1 day, 7:54:06", "remaining_time": "10 days, 10:45:12"} +{"current_steps": 2815, "total_steps": 24897, "loss": 0.9492, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029906315775363857, "epoch": 0.34, "percentage": 11.31, "elapsed_time": "1 day, 7:57:48", "remaining_time": "10 days, 10:44:05"} +{"current_steps": 2820, "total_steps": 24897, "loss": 1.0266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990516396611425, "epoch": 0.34, "percentage": 11.33, "elapsed_time": "1 day, 8:01:31", "remaining_time": "10 days, 10:43:04"} +{"current_steps": 2825, "total_steps": 24897, "loss": 0.9497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990400514199951, "epoch": 0.34, "percentage": 11.35, "elapsed_time": "1 day, 8:05:14", "remaining_time": "10 days, 10:42:07"} +{"current_steps": 2830, "total_steps": 24897, "loss": 0.9285, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029902839303564994, "epoch": 0.34, "percentage": 11.37, "elapsed_time": "1 day, 8:08:57", "remaining_time": "10 days, 10:41:05"} +{"current_steps": 2835, "total_steps": 24897, "loss": 0.9819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029901666451359393, "epoch": 0.34, "percentage": 11.39, "elapsed_time": "1 day, 8:12:40", "remaining_time": "10 days, 10:40:04"} +{"current_steps": 2840, "total_steps": 24897, "loss": 0.999, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002990048658593469, "epoch": 0.34, "percentage": 11.41, "elapsed_time": "1 day, 8:16:23", "remaining_time": "10 days, 10:39:02"} +{"current_steps": 2845, "total_steps": 24897, "loss": 1.0302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989929970784618, "epoch": 0.34, "percentage": 11.43, "elapsed_time": "1 day, 8:20:06", "remaining_time": "10 days, 10:38:01"} +{"current_steps": 2850, "total_steps": 24897, "loss": 1.0709, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989810581765243, "epoch": 0.34, "percentage": 11.45, "elapsed_time": "1 day, 8:23:48", "remaining_time": "10 days, 10:36:56"} +{"current_steps": 2855, "total_steps": 24897, "loss": 0.9305, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989690491591533, "epoch": 0.34, "percentage": 11.47, "elapsed_time": "1 day, 8:27:31", "remaining_time": "10 days, 10:35:49"} +{"current_steps": 2860, "total_steps": 24897, "loss": 0.9604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989569700320007, "epoch": 0.34, "percentage": 11.49, "elapsed_time": "1 day, 8:31:13", "remaining_time": "10 days, 10:34:41"} +{"current_steps": 2865, "total_steps": 24897, "loss": 0.9137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989448208007513, "epoch": 0.35, "percentage": 11.51, "elapsed_time": "1 day, 8:34:56", "remaining_time": "10 days, 10:33:35"} +{"current_steps": 2870, "total_steps": 24897, "loss": 1.0027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029893260147112287, "epoch": 0.35, "percentage": 11.53, "elapsed_time": "1 day, 8:38:38", "remaining_time": "10 days, 10:32:24"} +{"current_steps": 2875, "total_steps": 24897, "loss": 1.0449, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989203120488663, "epoch": 0.35, "percentage": 11.55, "elapsed_time": "1 day, 8:42:21", "remaining_time": "10 days, 10:31:18"} +{"current_steps": 2880, "total_steps": 24897, "loss": 0.985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002989079525397654, "epoch": 0.35, "percentage": 11.57, "elapsed_time": "1 day, 8:46:04", "remaining_time": "10 days, 10:30:14"} +{"current_steps": 2885, "total_steps": 24897, "loss": 0.9842, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029889552294963697, "epoch": 0.35, "percentage": 11.59, "elapsed_time": "1 day, 8:49:47", "remaining_time": "10 days, 10:29:07"} +{"current_steps": 2890, "total_steps": 24897, "loss": 1.0918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002988830232843308, "epoch": 0.35, "percentage": 11.61, "elapsed_time": "1 day, 8:53:29", "remaining_time": "10 days, 10:27:55"} +{"current_steps": 2895, "total_steps": 24897, "loss": 1.0285, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029887045354972953, "epoch": 0.35, "percentage": 11.63, "elapsed_time": "1 day, 8:57:12", "remaining_time": "10 days, 10:26:45"} +{"current_steps": 2900, "total_steps": 24897, "loss": 0.9887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029885781375174906, "epoch": 0.35, "percentage": 11.65, "elapsed_time": "1 day, 9:00:54", "remaining_time": "10 days, 10:25:35"} +{"current_steps": 2905, "total_steps": 24897, "loss": 1.0421, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000298845103896338, "epoch": 0.35, "percentage": 11.67, "elapsed_time": "1 day, 9:04:42", "remaining_time": "10 days, 10:25:05"} +{"current_steps": 2910, "total_steps": 24897, "loss": 1.0282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029883232398947806, "epoch": 0.35, "percentage": 11.69, "elapsed_time": "1 day, 9:08:26", "remaining_time": "10 days, 10:23:58"} +{"current_steps": 2915, "total_steps": 24897, "loss": 1.0445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002988194740371839, "epoch": 0.35, "percentage": 11.71, "elapsed_time": "1 day, 9:12:08", "remaining_time": "10 days, 10:22:46"} +{"current_steps": 2920, "total_steps": 24897, "loss": 1.1877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002988065540455031, "epoch": 0.35, "percentage": 11.73, "elapsed_time": "1 day, 9:15:51", "remaining_time": "10 days, 10:21:33"} +{"current_steps": 2925, "total_steps": 24897, "loss": 0.997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987935640205162, "epoch": 0.35, "percentage": 11.75, "elapsed_time": "1 day, 9:19:34", "remaining_time": "10 days, 10:20:20"} +{"current_steps": 2930, "total_steps": 24897, "loss": 0.998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029878050396833685, "epoch": 0.35, "percentage": 11.77, "elapsed_time": "1 day, 9:23:16", "remaining_time": "10 days, 10:19:05"} +{"current_steps": 2935, "total_steps": 24897, "loss": 0.9975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987673738951115, "epoch": 0.35, "percentage": 11.79, "elapsed_time": "1 day, 9:26:58", "remaining_time": "10 days, 10:17:45"} +{"current_steps": 2940, "total_steps": 24897, "loss": 1.0535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029875417380701954, "epoch": 0.35, "percentage": 11.81, "elapsed_time": "1 day, 9:30:41", "remaining_time": "10 days, 10:16:35"} +{"current_steps": 2945, "total_steps": 24897, "loss": 0.9872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987409037102734, "epoch": 0.35, "percentage": 11.83, "elapsed_time": "1 day, 9:34:23", "remaining_time": "10 days, 10:15:17"} +{"current_steps": 2950, "total_steps": 24897, "loss": 1.0886, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987275636111185, "epoch": 0.36, "percentage": 11.85, "elapsed_time": "1 day, 9:38:06", "remaining_time": "10 days, 10:14:00"} +{"current_steps": 2955, "total_steps": 24897, "loss": 0.9917, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987141535158331, "epoch": 0.36, "percentage": 11.87, "elapsed_time": "1 day, 9:41:48", "remaining_time": "10 days, 10:12:44"} +{"current_steps": 2960, "total_steps": 24897, "loss": 1.0217, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002987006734307283, "epoch": 0.36, "percentage": 11.89, "elapsed_time": "1 day, 9:45:30", "remaining_time": "10 days, 10:11:23"} +{"current_steps": 2965, "total_steps": 24897, "loss": 1.0619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002986871233621484, "epoch": 0.36, "percentage": 11.91, "elapsed_time": "1 day, 9:49:13", "remaining_time": "10 days, 10:10:04"} +{"current_steps": 2970, "total_steps": 24897, "loss": 1.0555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002986735033164706, "epoch": 0.36, "percentage": 11.93, "elapsed_time": "1 day, 9:52:55", "remaining_time": "10 days, 10:08:46"} +{"current_steps": 2975, "total_steps": 24897, "loss": 0.9612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002986598133001048, "epoch": 0.36, "percentage": 11.95, "elapsed_time": "1 day, 9:56:38", "remaining_time": "10 days, 10:07:26"} +{"current_steps": 2980, "total_steps": 24897, "loss": 0.9002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029864605331949396, "epoch": 0.36, "percentage": 11.97, "elapsed_time": "1 day, 10:00:20", "remaining_time": "10 days, 10:06:06"} +{"current_steps": 2985, "total_steps": 24897, "loss": 0.9336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002986322233811141, "epoch": 0.36, "percentage": 11.99, "elapsed_time": "1 day, 10:04:03", "remaining_time": "10 days, 10:04:48"} +{"current_steps": 2990, "total_steps": 24897, "loss": 0.8653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000298618323491474, "epoch": 0.36, "percentage": 12.01, "elapsed_time": "1 day, 10:07:45", "remaining_time": "10 days, 10:03:29"} +{"current_steps": 2995, "total_steps": 24897, "loss": 1.0476, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029860435365711537, "epoch": 0.36, "percentage": 12.03, "elapsed_time": "1 day, 10:11:28", "remaining_time": "10 days, 10:02:08"} +{"current_steps": 3000, "total_steps": 24897, "loss": 0.9567, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029859031388461296, "epoch": 0.36, "percentage": 12.05, "elapsed_time": "1 day, 10:15:11", "remaining_time": "10 days, 10:00:47"} +{"current_steps": 3005, "total_steps": 24897, "loss": 0.9938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029857620418057424, "epoch": 0.36, "percentage": 12.07, "elapsed_time": "1 day, 10:18:59", "remaining_time": "10 days, 10:00:11"} +{"current_steps": 3010, "total_steps": 24897, "loss": 0.9345, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002985620245516398, "epoch": 0.36, "percentage": 12.09, "elapsed_time": "1 day, 10:22:43", "remaining_time": "10 days, 9:58:54"} +{"current_steps": 3015, "total_steps": 24897, "loss": 0.9927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029854777500448303, "epoch": 0.36, "percentage": 12.11, "elapsed_time": "1 day, 10:26:25", "remaining_time": "10 days, 9:57:31"} +{"current_steps": 3020, "total_steps": 24897, "loss": 0.9714, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029853345554581024, "epoch": 0.36, "percentage": 12.13, "elapsed_time": "1 day, 10:30:07", "remaining_time": "10 days, 9:56:06"} +{"current_steps": 3025, "total_steps": 24897, "loss": 1.0147, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002985190661823606, "epoch": 0.36, "percentage": 12.15, "elapsed_time": "1 day, 10:33:50", "remaining_time": "10 days, 9:54:43"} +{"current_steps": 3030, "total_steps": 24897, "loss": 1.0514, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002985046069209062, "epoch": 0.37, "percentage": 12.17, "elapsed_time": "1 day, 10:37:32", "remaining_time": "10 days, 9:53:19"} +{"current_steps": 3035, "total_steps": 24897, "loss": 0.9702, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002984900777682522, "epoch": 0.37, "percentage": 12.19, "elapsed_time": "1 day, 10:41:15", "remaining_time": "10 days, 9:51:55"} +{"current_steps": 3040, "total_steps": 24897, "loss": 0.9965, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029847547873123627, "epoch": 0.37, "percentage": 12.21, "elapsed_time": "1 day, 10:44:58", "remaining_time": "10 days, 9:50:30"} +{"current_steps": 3045, "total_steps": 24897, "loss": 1.0079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002984608098167295, "epoch": 0.37, "percentage": 12.23, "elapsed_time": "1 day, 10:48:40", "remaining_time": "10 days, 9:49:05"} +{"current_steps": 3050, "total_steps": 24897, "loss": 1.006, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002984460710316353, "epoch": 0.37, "percentage": 12.25, "elapsed_time": "1 day, 10:52:23", "remaining_time": "10 days, 9:47:38"} +{"current_steps": 3055, "total_steps": 24897, "loss": 0.9245, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002984312623828903, "epoch": 0.37, "percentage": 12.27, "elapsed_time": "1 day, 10:56:05", "remaining_time": "10 days, 9:46:10"} +{"current_steps": 3060, "total_steps": 24897, "loss": 1.042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000298416383877464, "epoch": 0.37, "percentage": 12.29, "elapsed_time": "1 day, 10:59:47", "remaining_time": "10 days, 9:44:43"} +{"current_steps": 3065, "total_steps": 24897, "loss": 1.0291, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002984014355223587, "epoch": 0.37, "percentage": 12.31, "elapsed_time": "1 day, 11:03:30", "remaining_time": "10 days, 9:43:19"} +{"current_steps": 3070, "total_steps": 24897, "loss": 1.0021, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002983864173246096, "epoch": 0.37, "percentage": 12.33, "elapsed_time": "1 day, 11:07:12", "remaining_time": "10 days, 9:41:49"} +{"current_steps": 3075, "total_steps": 24897, "loss": 0.9942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029837132929128474, "epoch": 0.37, "percentage": 12.35, "elapsed_time": "1 day, 11:10:56", "remaining_time": "10 days, 9:40:25"} +{"current_steps": 3080, "total_steps": 24897, "loss": 1.0911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029835617142948503, "epoch": 0.37, "percentage": 12.37, "elapsed_time": "1 day, 11:14:38", "remaining_time": "10 days, 9:38:59"} +{"current_steps": 3085, "total_steps": 24897, "loss": 1.0143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002983409437463443, "epoch": 0.37, "percentage": 12.39, "elapsed_time": "1 day, 11:18:20", "remaining_time": "10 days, 9:37:24"} +{"current_steps": 3090, "total_steps": 24897, "loss": 1.0422, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002983256462490292, "epoch": 0.37, "percentage": 12.41, "elapsed_time": "1 day, 11:22:02", "remaining_time": "10 days, 9:35:52"} +{"current_steps": 3095, "total_steps": 24897, "loss": 1.028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029831027894473925, "epoch": 0.37, "percentage": 12.43, "elapsed_time": "1 day, 11:25:46", "remaining_time": "10 days, 9:34:28"} +{"current_steps": 3100, "total_steps": 24897, "loss": 1.0083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029829484184070674, "epoch": 0.37, "percentage": 12.45, "elapsed_time": "1 day, 11:29:28", "remaining_time": "10 days, 9:32:56"} +{"current_steps": 3105, "total_steps": 24897, "loss": 1.0822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000298279334944197, "epoch": 0.37, "percentage": 12.47, "elapsed_time": "1 day, 11:33:17", "remaining_time": "10 days, 9:32:13"} +{"current_steps": 3110, "total_steps": 24897, "loss": 0.9659, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000298263758262508, "epoch": 0.37, "percentage": 12.49, "elapsed_time": "1 day, 11:37:01", "remaining_time": "10 days, 9:30:48"} +{"current_steps": 3115, "total_steps": 24897, "loss": 1.0032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002982481118029707, "epoch": 0.38, "percentage": 12.51, "elapsed_time": "1 day, 11:40:43", "remaining_time": "10 days, 9:29:18"} +{"current_steps": 3120, "total_steps": 24897, "loss": 1.012, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002982323955729488, "epoch": 0.38, "percentage": 12.53, "elapsed_time": "1 day, 11:44:26", "remaining_time": "10 days, 9:27:45"} +{"current_steps": 3125, "total_steps": 24897, "loss": 1.0042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002982166095798389, "epoch": 0.38, "percentage": 12.55, "elapsed_time": "1 day, 11:48:09", "remaining_time": "10 days, 9:26:16"} +{"current_steps": 3130, "total_steps": 24897, "loss": 0.9857, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002982007538310704, "epoch": 0.38, "percentage": 12.57, "elapsed_time": "1 day, 11:51:51", "remaining_time": "10 days, 9:24:43"} +{"current_steps": 3135, "total_steps": 24897, "loss": 0.9621, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002981848283341056, "epoch": 0.38, "percentage": 12.59, "elapsed_time": "1 day, 11:55:34", "remaining_time": "10 days, 9:23:08"} +{"current_steps": 3140, "total_steps": 24897, "loss": 0.9642, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029816883309643946, "epoch": 0.38, "percentage": 12.61, "elapsed_time": "1 day, 11:59:17", "remaining_time": "10 days, 9:21:39"} +{"current_steps": 3145, "total_steps": 24897, "loss": 1.0157, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002981527681255999, "epoch": 0.38, "percentage": 12.63, "elapsed_time": "1 day, 12:02:59", "remaining_time": "10 days, 9:20:05"} +{"current_steps": 3150, "total_steps": 24897, "loss": 1.0122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029813663342914774, "epoch": 0.38, "percentage": 12.65, "elapsed_time": "1 day, 12:06:42", "remaining_time": "10 days, 9:18:31"} +{"current_steps": 3155, "total_steps": 24897, "loss": 0.9324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002981204290146764, "epoch": 0.38, "percentage": 12.67, "elapsed_time": "1 day, 12:10:25", "remaining_time": "10 days, 9:16:57"} +{"current_steps": 3160, "total_steps": 24897, "loss": 0.9521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029810415488981223, "epoch": 0.38, "percentage": 12.69, "elapsed_time": "1 day, 12:14:07", "remaining_time": "10 days, 9:15:24"} +{"current_steps": 3165, "total_steps": 24897, "loss": 0.9372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980878110622144, "epoch": 0.38, "percentage": 12.71, "elapsed_time": "1 day, 12:17:50", "remaining_time": "10 days, 9:13:49"} +{"current_steps": 3170, "total_steps": 24897, "loss": 1.0272, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980713975395748, "epoch": 0.38, "percentage": 12.73, "elapsed_time": "1 day, 12:21:33", "remaining_time": "10 days, 9:12:14"} +{"current_steps": 3175, "total_steps": 24897, "loss": 1.0605, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980549143296182, "epoch": 0.38, "percentage": 12.75, "elapsed_time": "1 day, 12:25:16", "remaining_time": "10 days, 9:10:42"} +{"current_steps": 3180, "total_steps": 24897, "loss": 1.0335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980383614401023, "epoch": 0.38, "percentage": 12.77, "elapsed_time": "1 day, 12:28:58", "remaining_time": "10 days, 9:09:05"} +{"current_steps": 3185, "total_steps": 24897, "loss": 1.0134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980217388788172, "epoch": 0.38, "percentage": 12.79, "elapsed_time": "1 day, 12:32:41", "remaining_time": "10 days, 9:07:29"} +{"current_steps": 3190, "total_steps": 24897, "loss": 1.0344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002980050466535861, "epoch": 0.38, "percentage": 12.81, "elapsed_time": "1 day, 12:36:23", "remaining_time": "10 days, 9:05:50"} +{"current_steps": 3195, "total_steps": 24897, "loss": 1.0624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000297988284772265, "epoch": 0.38, "percentage": 12.83, "elapsed_time": "1 day, 12:40:06", "remaining_time": "10 days, 9:04:12"} +{"current_steps": 3200, "total_steps": 24897, "loss": 0.9756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029797145324274256, "epoch": 0.39, "percentage": 12.85, "elapsed_time": "1 day, 12:43:48", "remaining_time": "10 days, 9:02:32"} +{"current_steps": 3205, "total_steps": 24897, "loss": 0.9553, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002979545520729402, "epoch": 0.39, "percentage": 12.87, "elapsed_time": "1 day, 12:47:38", "remaining_time": "10 days, 9:01:40"} +{"current_steps": 3210, "total_steps": 24897, "loss": 0.9576, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029793758127081226, "epoch": 0.39, "percentage": 12.89, "elapsed_time": "1 day, 12:51:21", "remaining_time": "10 days, 9:00:09"} +{"current_steps": 3215, "total_steps": 24897, "loss": 0.9603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029792054084434573, "epoch": 0.39, "percentage": 12.91, "elapsed_time": "1 day, 12:55:04", "remaining_time": "10 days, 8:58:32"} +{"current_steps": 3220, "total_steps": 24897, "loss": 1.0867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002979034308015603, "epoch": 0.39, "percentage": 12.93, "elapsed_time": "1 day, 12:58:48", "remaining_time": "10 days, 8:56:57"} +{"current_steps": 3225, "total_steps": 24897, "loss": 1.0548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029788625115050873, "epoch": 0.39, "percentage": 12.95, "elapsed_time": "1 day, 13:02:31", "remaining_time": "10 days, 8:55:21"} +{"current_steps": 3230, "total_steps": 24897, "loss": 1.0754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002978690018992761, "epoch": 0.39, "percentage": 12.97, "elapsed_time": "1 day, 13:06:14", "remaining_time": "10 days, 8:53:43"} +{"current_steps": 3235, "total_steps": 24897, "loss": 0.9912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002978516830559807, "epoch": 0.39, "percentage": 12.99, "elapsed_time": "1 day, 13:09:57", "remaining_time": "10 days, 8:52:04"} +{"current_steps": 3240, "total_steps": 24897, "loss": 0.9411, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002978342946287732, "epoch": 0.39, "percentage": 13.01, "elapsed_time": "1 day, 13:13:40", "remaining_time": "10 days, 8:50:25"} +{"current_steps": 3245, "total_steps": 24897, "loss": 1.0057, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029781683662583725, "epoch": 0.39, "percentage": 13.03, "elapsed_time": "1 day, 13:17:22", "remaining_time": "10 days, 8:48:44"} +{"current_steps": 3250, "total_steps": 24897, "loss": 0.9489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029779930905538915, "epoch": 0.39, "percentage": 13.05, "elapsed_time": "1 day, 13:21:05", "remaining_time": "10 days, 8:47:04"} +{"current_steps": 3255, "total_steps": 24897, "loss": 1.0077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002977817119256779, "epoch": 0.39, "percentage": 13.07, "elapsed_time": "1 day, 13:24:49", "remaining_time": "10 days, 8:45:28"} +{"current_steps": 3260, "total_steps": 24897, "loss": 1.0576, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029776404524498533, "epoch": 0.39, "percentage": 13.09, "elapsed_time": "1 day, 13:28:31", "remaining_time": "10 days, 8:43:42"} +{"current_steps": 3265, "total_steps": 24897, "loss": 0.9772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029774630902162604, "epoch": 0.39, "percentage": 13.11, "elapsed_time": "1 day, 13:32:15", "remaining_time": "10 days, 8:42:08"} +{"current_steps": 3270, "total_steps": 24897, "loss": 0.9922, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002977285032639472, "epoch": 0.39, "percentage": 13.13, "elapsed_time": "1 day, 13:35:59", "remaining_time": "10 days, 8:40:36"} +{"current_steps": 3275, "total_steps": 24897, "loss": 1.0216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002977106279803288, "epoch": 0.39, "percentage": 13.15, "elapsed_time": "1 day, 13:39:43", "remaining_time": "10 days, 8:39:00"} +{"current_steps": 3280, "total_steps": 24897, "loss": 0.9859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029769268317918354, "epoch": 0.4, "percentage": 13.17, "elapsed_time": "1 day, 13:43:27", "remaining_time": "10 days, 8:37:27"} +{"current_steps": 3285, "total_steps": 24897, "loss": 1.0755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029767466886895685, "epoch": 0.4, "percentage": 13.19, "elapsed_time": "1 day, 13:47:11", "remaining_time": "10 days, 8:35:50"} +{"current_steps": 3290, "total_steps": 24897, "loss": 0.9506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002976565850581269, "epoch": 0.4, "percentage": 13.21, "elapsed_time": "1 day, 13:50:54", "remaining_time": "10 days, 8:34:05"} +{"current_steps": 3295, "total_steps": 24897, "loss": 0.9734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002976384317552044, "epoch": 0.4, "percentage": 13.23, "elapsed_time": "1 day, 13:54:36", "remaining_time": "10 days, 8:32:21"} +{"current_steps": 3300, "total_steps": 24897, "loss": 0.9537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002976202089687331, "epoch": 0.4, "percentage": 13.25, "elapsed_time": "1 day, 13:58:19", "remaining_time": "10 days, 8:30:38"} +{"current_steps": 3305, "total_steps": 24897, "loss": 0.9778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002976019167072891, "epoch": 0.4, "percentage": 13.27, "elapsed_time": "1 day, 14:02:09", "remaining_time": "10 days, 8:29:36"} +{"current_steps": 3310, "total_steps": 24897, "loss": 1.0258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029758355497948145, "epoch": 0.4, "percentage": 13.29, "elapsed_time": "1 day, 14:05:52", "remaining_time": "10 days, 8:27:52"} +{"current_steps": 3315, "total_steps": 24897, "loss": 1.0244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002975651237939517, "epoch": 0.4, "percentage": 13.31, "elapsed_time": "1 day, 14:09:35", "remaining_time": "10 days, 8:26:12"} +{"current_steps": 3320, "total_steps": 24897, "loss": 0.9729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002975466231593742, "epoch": 0.4, "percentage": 13.33, "elapsed_time": "1 day, 14:13:18", "remaining_time": "10 days, 8:24:28"} +{"current_steps": 3325, "total_steps": 24897, "loss": 1.0492, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002975280530844559, "epoch": 0.4, "percentage": 13.36, "elapsed_time": "1 day, 14:17:02", "remaining_time": "10 days, 8:22:46"} +{"current_steps": 3330, "total_steps": 24897, "loss": 0.9775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029750941357793666, "epoch": 0.4, "percentage": 13.38, "elapsed_time": "1 day, 14:20:44", "remaining_time": "10 days, 8:20:57"} +{"current_steps": 3335, "total_steps": 24897, "loss": 1.0207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029749070464858875, "epoch": 0.4, "percentage": 13.4, "elapsed_time": "1 day, 14:24:27", "remaining_time": "10 days, 8:19:09"} +{"current_steps": 3340, "total_steps": 24897, "loss": 1.0502, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029747192630521715, "epoch": 0.4, "percentage": 13.42, "elapsed_time": "1 day, 14:28:10", "remaining_time": "10 days, 8:17:22"} +{"current_steps": 3345, "total_steps": 24897, "loss": 0.9846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002974530785566597, "epoch": 0.4, "percentage": 13.44, "elapsed_time": "1 day, 14:31:53", "remaining_time": "10 days, 8:15:40"} +{"current_steps": 3350, "total_steps": 24897, "loss": 0.9606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029743416141178667, "epoch": 0.4, "percentage": 13.46, "elapsed_time": "1 day, 14:35:37", "remaining_time": "10 days, 8:13:54"} +{"current_steps": 3355, "total_steps": 24897, "loss": 1.0469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029741517487950116, "epoch": 0.4, "percentage": 13.48, "elapsed_time": "1 day, 14:39:18", "remaining_time": "10 days, 8:11:58"} +{"current_steps": 3360, "total_steps": 24897, "loss": 0.9714, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029739611896873884, "epoch": 0.4, "percentage": 13.5, "elapsed_time": "1 day, 14:43:00", "remaining_time": "10 days, 8:10:04"} +{"current_steps": 3365, "total_steps": 24897, "loss": 0.982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029737699368846806, "epoch": 0.41, "percentage": 13.52, "elapsed_time": "1 day, 14:46:42", "remaining_time": "10 days, 8:08:11"} +{"current_steps": 3370, "total_steps": 24897, "loss": 1.0685, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002973577990476899, "epoch": 0.41, "percentage": 13.54, "elapsed_time": "1 day, 14:50:24", "remaining_time": "10 days, 8:06:14"} +{"current_steps": 3375, "total_steps": 24897, "loss": 0.947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002973385350554378, "epoch": 0.41, "percentage": 13.56, "elapsed_time": "1 day, 14:54:05", "remaining_time": "10 days, 8:04:16"} +{"current_steps": 3380, "total_steps": 24897, "loss": 0.9267, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029731920172077815, "epoch": 0.41, "percentage": 13.58, "elapsed_time": "1 day, 14:57:48", "remaining_time": "10 days, 8:02:26"} +{"current_steps": 3385, "total_steps": 24897, "loss": 1.0132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029729979905280987, "epoch": 0.41, "percentage": 13.6, "elapsed_time": "1 day, 15:01:31", "remaining_time": "10 days, 8:00:38"} +{"current_steps": 3390, "total_steps": 24897, "loss": 0.9343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002972803270606645, "epoch": 0.41, "percentage": 13.62, "elapsed_time": "1 day, 15:05:14", "remaining_time": "10 days, 7:58:50"} +{"current_steps": 3395, "total_steps": 24897, "loss": 1.0279, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029726078575350613, "epoch": 0.41, "percentage": 13.64, "elapsed_time": "1 day, 15:08:58", "remaining_time": "10 days, 7:57:03"} +{"current_steps": 3400, "total_steps": 24897, "loss": 0.9822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029724117514053164, "epoch": 0.41, "percentage": 13.66, "elapsed_time": "1 day, 15:12:41", "remaining_time": "10 days, 7:55:13"} +{"current_steps": 3405, "total_steps": 24897, "loss": 1.014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029722149523097046, "epoch": 0.41, "percentage": 13.68, "elapsed_time": "1 day, 15:16:30", "remaining_time": "10 days, 7:54:04"} +{"current_steps": 3410, "total_steps": 24897, "loss": 1.0781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002972017460340845, "epoch": 0.41, "percentage": 13.7, "elapsed_time": "1 day, 15:20:14", "remaining_time": "10 days, 7:52:14"} +{"current_steps": 3415, "total_steps": 24897, "loss": 1.0313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002971819275591684, "epoch": 0.41, "percentage": 13.72, "elapsed_time": "1 day, 15:23:57", "remaining_time": "10 days, 7:50:29"} +{"current_steps": 3420, "total_steps": 24897, "loss": 0.9883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029716203981554947, "epoch": 0.41, "percentage": 13.74, "elapsed_time": "1 day, 15:27:40", "remaining_time": "10 days, 7:48:34"} +{"current_steps": 3425, "total_steps": 24897, "loss": 1.0134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002971420828125875, "epoch": 0.41, "percentage": 13.76, "elapsed_time": "1 day, 15:31:23", "remaining_time": "10 days, 7:46:44"} +{"current_steps": 3430, "total_steps": 24897, "loss": 0.9029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002971220565596749, "epoch": 0.41, "percentage": 13.78, "elapsed_time": "1 day, 15:35:06", "remaining_time": "10 days, 7:44:53"} +{"current_steps": 3435, "total_steps": 24897, "loss": 0.9459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002971019610662367, "epoch": 0.41, "percentage": 13.8, "elapsed_time": "1 day, 15:38:50", "remaining_time": "10 days, 7:43:03"} +{"current_steps": 3440, "total_steps": 24897, "loss": 0.9259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029708179634173055, "epoch": 0.41, "percentage": 13.82, "elapsed_time": "1 day, 15:42:33", "remaining_time": "10 days, 7:41:11"} +{"current_steps": 3445, "total_steps": 24897, "loss": 0.8916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029706156239564665, "epoch": 0.42, "percentage": 13.84, "elapsed_time": "1 day, 15:46:16", "remaining_time": "10 days, 7:39:18"} +{"current_steps": 3450, "total_steps": 24897, "loss": 0.9067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029704125923750766, "epoch": 0.42, "percentage": 13.86, "elapsed_time": "1 day, 15:49:58", "remaining_time": "10 days, 7:37:22"} +{"current_steps": 3455, "total_steps": 24897, "loss": 0.9818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000297020886876869, "epoch": 0.42, "percentage": 13.88, "elapsed_time": "1 day, 15:53:42", "remaining_time": "10 days, 7:35:31"} +{"current_steps": 3460, "total_steps": 24897, "loss": 0.9721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029700044532331854, "epoch": 0.42, "percentage": 13.9, "elapsed_time": "1 day, 15:57:26", "remaining_time": "10 days, 7:33:44"} +{"current_steps": 3465, "total_steps": 24897, "loss": 1.0841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002969799345864768, "epoch": 0.42, "percentage": 13.92, "elapsed_time": "1 day, 16:01:09", "remaining_time": "10 days, 7:31:49"} +{"current_steps": 3470, "total_steps": 24897, "loss": 1.036, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029695935467599676, "epoch": 0.42, "percentage": 13.94, "elapsed_time": "1 day, 16:04:52", "remaining_time": "10 days, 7:29:57"} +{"current_steps": 3475, "total_steps": 24897, "loss": 1.0369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029693870560156406, "epoch": 0.42, "percentage": 13.96, "elapsed_time": "1 day, 16:08:35", "remaining_time": "10 days, 7:28:03"} +{"current_steps": 3480, "total_steps": 24897, "loss": 0.9474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002969179873728968, "epoch": 0.42, "percentage": 13.98, "elapsed_time": "1 day, 16:12:19", "remaining_time": "10 days, 7:26:09"} +{"current_steps": 3485, "total_steps": 24897, "loss": 1.036, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002968971999997458, "epoch": 0.42, "percentage": 14.0, "elapsed_time": "1 day, 16:16:02", "remaining_time": "10 days, 7:24:18"} +{"current_steps": 3490, "total_steps": 24897, "loss": 1.1111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000296876343491894, "epoch": 0.42, "percentage": 14.02, "elapsed_time": "1 day, 16:19:46", "remaining_time": "10 days, 7:22:28"} +{"current_steps": 3495, "total_steps": 24897, "loss": 1.0609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002968554178591575, "epoch": 0.42, "percentage": 14.04, "elapsed_time": "1 day, 16:23:30", "remaining_time": "10 days, 7:20:37"} +{"current_steps": 3500, "total_steps": 24897, "loss": 1.0826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029683442311138436, "epoch": 0.42, "percentage": 14.06, "elapsed_time": "1 day, 16:27:13", "remaining_time": "10 days, 7:18:41"} +{"current_steps": 3505, "total_steps": 24897, "loss": 0.9405, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029681335925845544, "epoch": 0.42, "percentage": 14.08, "elapsed_time": "1 day, 16:31:02", "remaining_time": "10 days, 7:17:21"} +{"current_steps": 3510, "total_steps": 24897, "loss": 1.057, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002967922263102842, "epoch": 0.42, "percentage": 14.1, "elapsed_time": "1 day, 16:34:46", "remaining_time": "10 days, 7:15:26"} +{"current_steps": 3515, "total_steps": 24897, "loss": 0.9852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029677102427681643, "epoch": 0.42, "percentage": 14.12, "elapsed_time": "1 day, 16:38:30", "remaining_time": "10 days, 7:13:34"} +{"current_steps": 3520, "total_steps": 24897, "loss": 1.053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029674975316803056, "epoch": 0.42, "percentage": 14.14, "elapsed_time": "1 day, 16:42:12", "remaining_time": "10 days, 7:11:32"} +{"current_steps": 3525, "total_steps": 24897, "loss": 1.0338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029672841299393734, "epoch": 0.42, "percentage": 14.16, "elapsed_time": "1 day, 16:45:55", "remaining_time": "10 days, 7:09:34"} +{"current_steps": 3530, "total_steps": 24897, "loss": 0.9818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029670700376458034, "epoch": 0.43, "percentage": 14.18, "elapsed_time": "1 day, 16:49:39", "remaining_time": "10 days, 7:07:44"} +{"current_steps": 3535, "total_steps": 24897, "loss": 0.9841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002966855254900353, "epoch": 0.43, "percentage": 14.2, "elapsed_time": "1 day, 16:53:23", "remaining_time": "10 days, 7:05:53"} +{"current_steps": 3540, "total_steps": 24897, "loss": 1.0825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002966639781804108, "epoch": 0.43, "percentage": 14.22, "elapsed_time": "1 day, 16:57:06", "remaining_time": "10 days, 7:03:54"} +{"current_steps": 3545, "total_steps": 24897, "loss": 1.0661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029664236184584757, "epoch": 0.43, "percentage": 14.24, "elapsed_time": "1 day, 17:00:50", "remaining_time": "10 days, 7:01:58"} +{"current_steps": 3550, "total_steps": 24897, "loss": 0.8942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029662067649651895, "epoch": 0.43, "percentage": 14.26, "elapsed_time": "1 day, 17:04:32", "remaining_time": "10 days, 6:59:54"} +{"current_steps": 3555, "total_steps": 24897, "loss": 1.0014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029659892214263094, "epoch": 0.43, "percentage": 14.28, "elapsed_time": "1 day, 17:08:17", "remaining_time": "10 days, 6:58:02"} +{"current_steps": 3560, "total_steps": 24897, "loss": 1.0379, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002965770987944217, "epoch": 0.43, "percentage": 14.3, "elapsed_time": "1 day, 17:12:00", "remaining_time": "10 days, 6:56:06"} +{"current_steps": 3565, "total_steps": 24897, "loss": 0.9512, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029655520646216214, "epoch": 0.43, "percentage": 14.32, "elapsed_time": "1 day, 17:15:43", "remaining_time": "10 days, 6:54:06"} +{"current_steps": 3570, "total_steps": 24897, "loss": 1.0178, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029653324515615544, "epoch": 0.43, "percentage": 14.34, "elapsed_time": "1 day, 17:19:26", "remaining_time": "10 days, 6:52:03"} +{"current_steps": 3575, "total_steps": 24897, "loss": 0.9555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029651121488673737, "epoch": 0.43, "percentage": 14.36, "elapsed_time": "1 day, 17:23:08", "remaining_time": "10 days, 6:49:57"} +{"current_steps": 3580, "total_steps": 24897, "loss": 0.9916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029648911566427605, "epoch": 0.43, "percentage": 14.38, "elapsed_time": "1 day, 17:26:50", "remaining_time": "10 days, 6:47:49"} +{"current_steps": 3585, "total_steps": 24897, "loss": 1.0, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029646694749917217, "epoch": 0.43, "percentage": 14.4, "elapsed_time": "1 day, 17:30:33", "remaining_time": "10 days, 6:45:47"} +{"current_steps": 3590, "total_steps": 24897, "loss": 0.9486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002964447104018588, "epoch": 0.43, "percentage": 14.42, "elapsed_time": "1 day, 17:34:16", "remaining_time": "10 days, 6:43:45"} +{"current_steps": 3595, "total_steps": 24897, "loss": 0.9834, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002964224043828014, "epoch": 0.43, "percentage": 14.44, "elapsed_time": "1 day, 17:37:59", "remaining_time": "10 days, 6:41:46"} +{"current_steps": 3600, "total_steps": 24897, "loss": 0.9501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000296400029452498, "epoch": 0.43, "percentage": 14.46, "elapsed_time": "1 day, 17:41:43", "remaining_time": "10 days, 6:39:45"} +{"current_steps": 3605, "total_steps": 24897, "loss": 1.0168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029637758562147895, "epoch": 0.43, "percentage": 14.48, "elapsed_time": "1 day, 17:45:29", "remaining_time": "10 days, 6:38:00"} +{"current_steps": 3610, "total_steps": 24897, "loss": 0.9695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000296355072900307, "epoch": 0.43, "percentage": 14.5, "elapsed_time": "1 day, 17:49:12", "remaining_time": "10 days, 6:35:58"} +{"current_steps": 3615, "total_steps": 24897, "loss": 0.9556, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029633249129957747, "epoch": 0.44, "percentage": 14.52, "elapsed_time": "1 day, 17:52:55", "remaining_time": "10 days, 6:33:56"} +{"current_steps": 3620, "total_steps": 24897, "loss": 0.9561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000296309840829918, "epoch": 0.44, "percentage": 14.54, "elapsed_time": "1 day, 17:56:38", "remaining_time": "10 days, 6:31:54"} +{"current_steps": 3625, "total_steps": 24897, "loss": 0.9509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029628712150198865, "epoch": 0.44, "percentage": 14.56, "elapsed_time": "1 day, 18:00:22", "remaining_time": "10 days, 6:29:54"} +{"current_steps": 3630, "total_steps": 24897, "loss": 1.0664, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029626433332648183, "epoch": 0.44, "percentage": 14.58, "elapsed_time": "1 day, 18:04:05", "remaining_time": "10 days, 6:27:53"} +{"current_steps": 3635, "total_steps": 24897, "loss": 0.9833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029624147631412246, "epoch": 0.44, "percentage": 14.6, "elapsed_time": "1 day, 18:07:49", "remaining_time": "10 days, 6:25:50"} +{"current_steps": 3640, "total_steps": 24897, "loss": 0.9077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002962185504756678, "epoch": 0.44, "percentage": 14.62, "elapsed_time": "1 day, 18:11:32", "remaining_time": "10 days, 6:23:45"} +{"current_steps": 3645, "total_steps": 24897, "loss": 0.9386, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002961955558219076, "epoch": 0.44, "percentage": 14.64, "elapsed_time": "1 day, 18:15:15", "remaining_time": "10 days, 6:21:43"} +{"current_steps": 3650, "total_steps": 24897, "loss": 1.0339, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002961724923636637, "epoch": 0.44, "percentage": 14.66, "elapsed_time": "1 day, 18:18:59", "remaining_time": "10 days, 6:19:41"} +{"current_steps": 3655, "total_steps": 24897, "loss": 0.9962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029614936011179076, "epoch": 0.44, "percentage": 14.68, "elapsed_time": "1 day, 18:22:42", "remaining_time": "10 days, 6:17:35"} +{"current_steps": 3660, "total_steps": 24897, "loss": 0.8727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002961261590771755, "epoch": 0.44, "percentage": 14.7, "elapsed_time": "1 day, 18:26:25", "remaining_time": "10 days, 6:15:31"} +{"current_steps": 3665, "total_steps": 24897, "loss": 0.986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000296102889270737, "epoch": 0.44, "percentage": 14.72, "elapsed_time": "1 day, 18:30:08", "remaining_time": "10 days, 6:13:26"} +{"current_steps": 3670, "total_steps": 24897, "loss": 1.0204, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029607955070342685, "epoch": 0.44, "percentage": 14.74, "elapsed_time": "1 day, 18:33:52", "remaining_time": "10 days, 6:11:23"} +{"current_steps": 3675, "total_steps": 24897, "loss": 0.9744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029605614338622905, "epoch": 0.44, "percentage": 14.76, "elapsed_time": "1 day, 18:37:36", "remaining_time": "10 days, 6:09:22"} +{"current_steps": 3680, "total_steps": 24897, "loss": 0.9984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029603266733015983, "epoch": 0.44, "percentage": 14.78, "elapsed_time": "1 day, 18:41:19", "remaining_time": "10 days, 6:07:19"} +{"current_steps": 3685, "total_steps": 24897, "loss": 1.0663, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002960091225462677, "epoch": 0.44, "percentage": 14.8, "elapsed_time": "1 day, 18:45:03", "remaining_time": "10 days, 6:05:16"} +{"current_steps": 3690, "total_steps": 24897, "loss": 0.9452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029598550904563374, "epoch": 0.44, "percentage": 14.82, "elapsed_time": "1 day, 18:48:46", "remaining_time": "10 days, 6:03:10"} +{"current_steps": 3695, "total_steps": 24897, "loss": 1.0318, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002959618268393712, "epoch": 0.45, "percentage": 14.84, "elapsed_time": "1 day, 18:52:30", "remaining_time": "10 days, 6:01:07"} +{"current_steps": 3700, "total_steps": 24897, "loss": 1.0137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029593807593862565, "epoch": 0.45, "percentage": 14.86, "elapsed_time": "1 day, 18:56:13", "remaining_time": "10 days, 5:59:00"} +{"current_steps": 3705, "total_steps": 24897, "loss": 0.9957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029591425635457514, "epoch": 0.45, "percentage": 14.88, "elapsed_time": "1 day, 18:59:59", "remaining_time": "10 days, 5:57:08"} +{"current_steps": 3710, "total_steps": 24897, "loss": 0.9998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029589036809842987, "epoch": 0.45, "percentage": 14.9, "elapsed_time": "1 day, 19:03:43", "remaining_time": "10 days, 5:55:04"} +{"current_steps": 3715, "total_steps": 24897, "loss": 0.9865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002958664111814326, "epoch": 0.45, "percentage": 14.92, "elapsed_time": "1 day, 19:07:27", "remaining_time": "10 days, 5:53:00"} +{"current_steps": 3720, "total_steps": 24897, "loss": 0.9939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002958423856148581, "epoch": 0.45, "percentage": 14.94, "elapsed_time": "1 day, 19:11:09", "remaining_time": "10 days, 5:50:50"} +{"current_steps": 3725, "total_steps": 24897, "loss": 0.9806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002958182914100137, "epoch": 0.45, "percentage": 14.96, "elapsed_time": "1 day, 19:14:53", "remaining_time": "10 days, 5:48:41"} +{"current_steps": 3730, "total_steps": 24897, "loss": 0.9165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029579412857823887, "epoch": 0.45, "percentage": 14.98, "elapsed_time": "1 day, 19:18:36", "remaining_time": "10 days, 5:46:35"} +{"current_steps": 3735, "total_steps": 24897, "loss": 0.9465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002957698971309054, "epoch": 0.45, "percentage": 15.0, "elapsed_time": "1 day, 19:22:19", "remaining_time": "10 days, 5:44:25"} +{"current_steps": 3740, "total_steps": 24897, "loss": 0.9562, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002957455970794175, "epoch": 0.45, "percentage": 15.02, "elapsed_time": "1 day, 19:26:03", "remaining_time": "10 days, 5:42:18"} +{"current_steps": 3745, "total_steps": 24897, "loss": 0.9912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002957212284352116, "epoch": 0.45, "percentage": 15.04, "elapsed_time": "1 day, 19:29:47", "remaining_time": "10 days, 5:40:13"} +{"current_steps": 3750, "total_steps": 24897, "loss": 0.9995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002956967912097563, "epoch": 0.45, "percentage": 15.06, "elapsed_time": "1 day, 19:33:29", "remaining_time": "10 days, 5:38:02"} +{"current_steps": 3755, "total_steps": 24897, "loss": 0.9773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029567228541455264, "epoch": 0.45, "percentage": 15.08, "elapsed_time": "1 day, 19:37:14", "remaining_time": "10 days, 5:36:01"} +{"current_steps": 3760, "total_steps": 24897, "loss": 0.978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002956477110611338, "epoch": 0.45, "percentage": 15.1, "elapsed_time": "1 day, 19:40:57", "remaining_time": "10 days, 5:33:50"} +{"current_steps": 3765, "total_steps": 24897, "loss": 0.9428, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029562306816106535, "epoch": 0.45, "percentage": 15.12, "elapsed_time": "1 day, 19:44:40", "remaining_time": "10 days, 5:31:36"} +{"current_steps": 3770, "total_steps": 24897, "loss": 0.9801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000295598356725945, "epoch": 0.45, "percentage": 15.14, "elapsed_time": "1 day, 19:48:23", "remaining_time": "10 days, 5:29:28"} +{"current_steps": 3775, "total_steps": 24897, "loss": 0.9655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029557357676740286, "epoch": 0.45, "percentage": 15.16, "elapsed_time": "1 day, 19:52:07", "remaining_time": "10 days, 5:27:22"} +{"current_steps": 3780, "total_steps": 24897, "loss": 1.0099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029554872829710114, "epoch": 0.46, "percentage": 15.18, "elapsed_time": "1 day, 19:55:51", "remaining_time": "10 days, 5:25:13"} +{"current_steps": 3785, "total_steps": 24897, "loss": 1.0337, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002955238113267344, "epoch": 0.46, "percentage": 15.2, "elapsed_time": "1 day, 19:59:34", "remaining_time": "10 days, 5:23:03"} +{"current_steps": 3790, "total_steps": 24897, "loss": 0.9719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029549882586802923, "epoch": 0.46, "percentage": 15.22, "elapsed_time": "1 day, 20:03:18", "remaining_time": "10 days, 5:20:57"} +{"current_steps": 3795, "total_steps": 24897, "loss": 0.9933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002954737719327448, "epoch": 0.46, "percentage": 15.24, "elapsed_time": "1 day, 20:07:02", "remaining_time": "10 days, 5:18:49"} +{"current_steps": 3800, "total_steps": 24897, "loss": 1.0829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029544864953267224, "epoch": 0.46, "percentage": 15.26, "elapsed_time": "1 day, 20:10:46", "remaining_time": "10 days, 5:16:40"} +{"current_steps": 3805, "total_steps": 24897, "loss": 0.9727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000295423458679635, "epoch": 0.46, "percentage": 15.28, "elapsed_time": "1 day, 20:14:33", "remaining_time": "10 days, 5:14:48"} +{"current_steps": 3810, "total_steps": 24897, "loss": 0.9602, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002953981993854888, "epoch": 0.46, "percentage": 15.3, "elapsed_time": "1 day, 20:18:16", "remaining_time": "10 days, 5:12:38"} +{"current_steps": 3815, "total_steps": 24897, "loss": 0.9695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029537287166212146, "epoch": 0.46, "percentage": 15.32, "elapsed_time": "1 day, 20:22:00", "remaining_time": "10 days, 5:10:29"} +{"current_steps": 3820, "total_steps": 24897, "loss": 1.0112, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029534747552145295, "epoch": 0.46, "percentage": 15.34, "elapsed_time": "1 day, 20:25:44", "remaining_time": "10 days, 5:08:20"} +{"current_steps": 3825, "total_steps": 24897, "loss": 1.045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029532201097543566, "epoch": 0.46, "percentage": 15.36, "elapsed_time": "1 day, 20:29:28", "remaining_time": "10 days, 5:06:09"} +{"current_steps": 3830, "total_steps": 24897, "loss": 0.9602, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029529647803605406, "epoch": 0.46, "percentage": 15.38, "elapsed_time": "1 day, 20:33:11", "remaining_time": "10 days, 5:03:58"} +{"current_steps": 3835, "total_steps": 24897, "loss": 0.8681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029527087671532467, "epoch": 0.46, "percentage": 15.4, "elapsed_time": "1 day, 20:36:55", "remaining_time": "10 days, 5:01:46"} +{"current_steps": 3840, "total_steps": 24897, "loss": 1.0298, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029524520702529645, "epoch": 0.46, "percentage": 15.42, "elapsed_time": "1 day, 20:40:39", "remaining_time": "10 days, 4:59:36"} +{"current_steps": 3845, "total_steps": 24897, "loss": 1.0393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029521946897805034, "epoch": 0.46, "percentage": 15.44, "elapsed_time": "1 day, 20:44:23", "remaining_time": "10 days, 4:57:26"} +{"current_steps": 3850, "total_steps": 24897, "loss": 0.9163, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029519366258569954, "epoch": 0.46, "percentage": 15.46, "elapsed_time": "1 day, 20:48:05", "remaining_time": "10 days, 4:55:07"} +{"current_steps": 3855, "total_steps": 24897, "loss": 1.0929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002951677878603894, "epoch": 0.46, "percentage": 15.48, "elapsed_time": "1 day, 20:51:49", "remaining_time": "10 days, 4:52:55"} +{"current_steps": 3860, "total_steps": 24897, "loss": 0.9895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002951418448142974, "epoch": 0.47, "percentage": 15.5, "elapsed_time": "1 day, 20:55:32", "remaining_time": "10 days, 4:50:44"} +{"current_steps": 3865, "total_steps": 24897, "loss": 0.951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029511583345963327, "epoch": 0.47, "percentage": 15.52, "elapsed_time": "1 day, 20:59:16", "remaining_time": "10 days, 4:48:30"} +{"current_steps": 3870, "total_steps": 24897, "loss": 0.9239, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029508975380863867, "epoch": 0.47, "percentage": 15.54, "elapsed_time": "1 day, 21:02:59", "remaining_time": "10 days, 4:46:17"} +{"current_steps": 3875, "total_steps": 24897, "loss": 0.9932, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002950636058735877, "epoch": 0.47, "percentage": 15.56, "elapsed_time": "1 day, 21:06:43", "remaining_time": "10 days, 4:44:04"} +{"current_steps": 3880, "total_steps": 24897, "loss": 1.0185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002950373896667864, "epoch": 0.47, "percentage": 15.58, "elapsed_time": "1 day, 21:10:27", "remaining_time": "10 days, 4:41:52"} +{"current_steps": 3885, "total_steps": 24897, "loss": 1.0683, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000295011105200573, "epoch": 0.47, "percentage": 15.6, "elapsed_time": "1 day, 21:14:11", "remaining_time": "10 days, 4:39:39"} +{"current_steps": 3890, "total_steps": 24897, "loss": 0.8858, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002949847524873178, "epoch": 0.47, "percentage": 15.62, "elapsed_time": "1 day, 21:17:55", "remaining_time": "10 days, 4:37:26"} +{"current_steps": 3895, "total_steps": 24897, "loss": 0.9769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002949583315394233, "epoch": 0.47, "percentage": 15.64, "elapsed_time": "1 day, 21:21:38", "remaining_time": "10 days, 4:35:13"} +{"current_steps": 3900, "total_steps": 24897, "loss": 1.0506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029493184236932405, "epoch": 0.47, "percentage": 15.66, "elapsed_time": "1 day, 21:25:22", "remaining_time": "10 days, 4:32:59"} +{"current_steps": 3905, "total_steps": 24897, "loss": 0.9815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002949052849894867, "epoch": 0.47, "percentage": 15.68, "elapsed_time": "1 day, 21:29:08", "remaining_time": "10 days, 4:30:59"} +{"current_steps": 3910, "total_steps": 24897, "loss": 0.9287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029487865941241014, "epoch": 0.47, "percentage": 15.7, "elapsed_time": "1 day, 21:32:52", "remaining_time": "10 days, 4:28:47"} +{"current_steps": 3915, "total_steps": 24897, "loss": 0.9731, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029485196565062516, "epoch": 0.47, "percentage": 15.72, "elapsed_time": "1 day, 21:36:36", "remaining_time": "10 days, 4:26:35"} +{"current_steps": 3920, "total_steps": 24897, "loss": 0.9477, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002948252037166948, "epoch": 0.47, "percentage": 15.74, "elapsed_time": "1 day, 21:40:20", "remaining_time": "10 days, 4:24:21"} +{"current_steps": 3925, "total_steps": 24897, "loss": 0.9904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029479837362321405, "epoch": 0.47, "percentage": 15.76, "elapsed_time": "1 day, 21:44:05", "remaining_time": "10 days, 4:22:08"} +{"current_steps": 3930, "total_steps": 24897, "loss": 0.997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029477147538281004, "epoch": 0.47, "percentage": 15.79, "elapsed_time": "1 day, 21:47:49", "remaining_time": "10 days, 4:19:55"} +{"current_steps": 3935, "total_steps": 24897, "loss": 0.9378, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000294744509008142, "epoch": 0.47, "percentage": 15.81, "elapsed_time": "1 day, 21:51:33", "remaining_time": "10 days, 4:17:41"} +{"current_steps": 3940, "total_steps": 24897, "loss": 0.9559, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029471747451190124, "epoch": 0.47, "percentage": 15.83, "elapsed_time": "1 day, 21:55:17", "remaining_time": "10 days, 4:15:27"} +{"current_steps": 3945, "total_steps": 24897, "loss": 1.011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000294690371906811, "epoch": 0.48, "percentage": 15.85, "elapsed_time": "1 day, 21:59:00", "remaining_time": "10 days, 4:13:10"} +{"current_steps": 3950, "total_steps": 24897, "loss": 0.9077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029466320120562683, "epoch": 0.48, "percentage": 15.87, "elapsed_time": "1 day, 22:02:44", "remaining_time": "10 days, 4:10:55"} +{"current_steps": 3955, "total_steps": 24897, "loss": 1.0702, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029463596242113596, "epoch": 0.48, "percentage": 15.89, "elapsed_time": "1 day, 22:06:28", "remaining_time": "10 days, 4:08:42"} +{"current_steps": 3960, "total_steps": 24897, "loss": 0.9612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000294608655566158, "epoch": 0.48, "percentage": 15.91, "elapsed_time": "1 day, 22:10:13", "remaining_time": "10 days, 4:06:28"} +{"current_steps": 3965, "total_steps": 24897, "loss": 1.0131, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029458128065354444, "epoch": 0.48, "percentage": 15.93, "elapsed_time": "1 day, 22:13:57", "remaining_time": "10 days, 4:04:13"} +{"current_steps": 3970, "total_steps": 24897, "loss": 0.9848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002945538376961788, "epoch": 0.48, "percentage": 15.95, "elapsed_time": "1 day, 22:17:41", "remaining_time": "10 days, 4:01:58"} +{"current_steps": 3975, "total_steps": 24897, "loss": 0.9559, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002945263267069766, "epoch": 0.48, "percentage": 15.97, "elapsed_time": "1 day, 22:21:19", "remaining_time": "10 days, 3:59:10"} +{"current_steps": 3980, "total_steps": 24897, "loss": 1.0772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002944987476988855, "epoch": 0.48, "percentage": 15.99, "elapsed_time": "1 day, 22:25:01", "remaining_time": "10 days, 3:56:48"} +{"current_steps": 3985, "total_steps": 24897, "loss": 0.9037, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029447110068488516, "epoch": 0.48, "percentage": 16.01, "elapsed_time": "1 day, 22:28:44", "remaining_time": "10 days, 3:54:23"} +{"current_steps": 3990, "total_steps": 24897, "loss": 0.9624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000294443385677987, "epoch": 0.48, "percentage": 16.03, "elapsed_time": "1 day, 22:32:26", "remaining_time": "10 days, 3:51:58"} +{"current_steps": 3995, "total_steps": 24897, "loss": 0.983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029441560269123483, "epoch": 0.48, "percentage": 16.05, "elapsed_time": "1 day, 22:36:09", "remaining_time": "10 days, 3:49:37"} +{"current_steps": 4000, "total_steps": 24897, "loss": 0.9705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029438775173770405, "epoch": 0.48, "percentage": 16.07, "elapsed_time": "1 day, 22:39:52", "remaining_time": "10 days, 3:47:13"} +{"current_steps": 4005, "total_steps": 24897, "loss": 0.9664, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002943598328305024, "epoch": 0.48, "percentage": 16.09, "elapsed_time": "1 day, 22:43:40", "remaining_time": "10 days, 3:45:18"} +{"current_steps": 4010, "total_steps": 24897, "loss": 1.0259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002943318459827693, "epoch": 0.48, "percentage": 16.11, "elapsed_time": "1 day, 22:47:23", "remaining_time": "10 days, 3:42:57"} +{"current_steps": 4015, "total_steps": 24897, "loss": 0.9311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002943037912076764, "epoch": 0.48, "percentage": 16.13, "elapsed_time": "1 day, 22:51:07", "remaining_time": "10 days, 3:40:36"} +{"current_steps": 4020, "total_steps": 24897, "loss": 1.07, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002942756685184272, "epoch": 0.48, "percentage": 16.15, "elapsed_time": "1 day, 22:54:50", "remaining_time": "10 days, 3:38:14"} +{"current_steps": 4025, "total_steps": 24897, "loss": 0.9204, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002942474779282571, "epoch": 0.48, "percentage": 16.17, "elapsed_time": "1 day, 22:58:32", "remaining_time": "10 days, 3:35:48"} +{"current_steps": 4030, "total_steps": 24897, "loss": 0.9853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029421921945043365, "epoch": 0.49, "percentage": 16.19, "elapsed_time": "1 day, 23:02:16", "remaining_time": "10 days, 3:33:28"} +{"current_steps": 4035, "total_steps": 24897, "loss": 1.0537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002941908930982561, "epoch": 0.49, "percentage": 16.21, "elapsed_time": "1 day, 23:05:58", "remaining_time": "10 days, 3:31:02"} +{"current_steps": 4040, "total_steps": 24897, "loss": 0.9713, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002941624988850558, "epoch": 0.49, "percentage": 16.23, "elapsed_time": "1 day, 23:09:41", "remaining_time": "10 days, 3:28:38"} +{"current_steps": 4045, "total_steps": 24897, "loss": 0.9988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029413403682419613, "epoch": 0.49, "percentage": 16.25, "elapsed_time": "1 day, 23:13:25", "remaining_time": "10 days, 3:26:16"} +{"current_steps": 4050, "total_steps": 24897, "loss": 0.9946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002941055069290721, "epoch": 0.49, "percentage": 16.27, "elapsed_time": "1 day, 23:17:07", "remaining_time": "10 days, 3:23:48"} +{"current_steps": 4055, "total_steps": 24897, "loss": 0.9288, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029407690921311094, "epoch": 0.49, "percentage": 16.29, "elapsed_time": "1 day, 23:20:49", "remaining_time": "10 days, 3:21:22"} +{"current_steps": 4060, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002940482436897717, "epoch": 0.49, "percentage": 16.31, "elapsed_time": "1 day, 23:24:32", "remaining_time": "10 days, 3:18:55"} +{"current_steps": 4065, "total_steps": 24897, "loss": 1.059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029401951037254524, "epoch": 0.49, "percentage": 16.33, "elapsed_time": "1 day, 23:28:14", "remaining_time": "10 days, 3:16:28"} +{"current_steps": 4070, "total_steps": 24897, "loss": 0.9622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029399070927495447, "epoch": 0.49, "percentage": 16.35, "elapsed_time": "1 day, 23:31:57", "remaining_time": "10 days, 3:14:01"} +{"current_steps": 4075, "total_steps": 24897, "loss": 0.8903, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002939618404105541, "epoch": 0.49, "percentage": 16.37, "elapsed_time": "1 day, 23:35:39", "remaining_time": "10 days, 3:11:32"} +{"current_steps": 4080, "total_steps": 24897, "loss": 1.0106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029393290379293085, "epoch": 0.49, "percentage": 16.39, "elapsed_time": "1 day, 23:39:22", "remaining_time": "10 days, 3:09:07"} +{"current_steps": 4085, "total_steps": 24897, "loss": 0.9517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002939038994357032, "epoch": 0.49, "percentage": 16.41, "elapsed_time": "1 day, 23:43:05", "remaining_time": "10 days, 3:06:41"} +{"current_steps": 4090, "total_steps": 24897, "loss": 0.9628, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002938748273525216, "epoch": 0.49, "percentage": 16.43, "elapsed_time": "1 day, 23:46:48", "remaining_time": "10 days, 3:04:13"} +{"current_steps": 4095, "total_steps": 24897, "loss": 0.9726, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029384568755706824, "epoch": 0.49, "percentage": 16.45, "elapsed_time": "1 day, 23:50:30", "remaining_time": "10 days, 3:01:47"} +{"current_steps": 4100, "total_steps": 24897, "loss": 1.0339, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002938164800630574, "epoch": 0.49, "percentage": 16.47, "elapsed_time": "1 day, 23:54:13", "remaining_time": "10 days, 2:59:21"} +{"current_steps": 4105, "total_steps": 24897, "loss": 0.933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029378720488423506, "epoch": 0.49, "percentage": 16.49, "elapsed_time": "1 day, 23:57:59", "remaining_time": "10 days, 2:57:07"} +{"current_steps": 4110, "total_steps": 24897, "loss": 0.9645, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029375786203437906, "epoch": 0.5, "percentage": 16.51, "elapsed_time": "2 days, 0:01:41", "remaining_time": "10 days, 2:54:37"} +{"current_steps": 4115, "total_steps": 24897, "loss": 1.0066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029372845152729916, "epoch": 0.5, "percentage": 16.53, "elapsed_time": "2 days, 0:05:24", "remaining_time": "10 days, 2:52:12"} +{"current_steps": 4120, "total_steps": 24897, "loss": 0.98, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002936989733768368, "epoch": 0.5, "percentage": 16.55, "elapsed_time": "2 days, 0:09:07", "remaining_time": "10 days, 2:49:42"} +{"current_steps": 4125, "total_steps": 24897, "loss": 0.9817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029366942759686556, "epoch": 0.5, "percentage": 16.57, "elapsed_time": "2 days, 0:12:49", "remaining_time": "10 days, 2:47:13"} +{"current_steps": 4130, "total_steps": 24897, "loss": 1.024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002936398142012906, "epoch": 0.5, "percentage": 16.59, "elapsed_time": "2 days, 0:16:32", "remaining_time": "10 days, 2:44:44"} +{"current_steps": 4135, "total_steps": 24897, "loss": 0.9538, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002936101332040489, "epoch": 0.5, "percentage": 16.61, "elapsed_time": "2 days, 0:20:14", "remaining_time": "10 days, 2:42:16"} +{"current_steps": 4140, "total_steps": 24897, "loss": 0.9453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029358038461910934, "epoch": 0.5, "percentage": 16.63, "elapsed_time": "2 days, 0:23:57", "remaining_time": "10 days, 2:39:46"} +{"current_steps": 4145, "total_steps": 24897, "loss": 0.9445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029355056846047266, "epoch": 0.5, "percentage": 16.65, "elapsed_time": "2 days, 0:27:40", "remaining_time": "10 days, 2:37:18"} +{"current_steps": 4150, "total_steps": 24897, "loss": 0.9821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002935206847421713, "epoch": 0.5, "percentage": 16.67, "elapsed_time": "2 days, 0:31:23", "remaining_time": "10 days, 2:34:48"} +{"current_steps": 4155, "total_steps": 24897, "loss": 1.0079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029349073347826953, "epoch": 0.5, "percentage": 16.69, "elapsed_time": "2 days, 0:35:05", "remaining_time": "10 days, 2:32:20"} +{"current_steps": 4160, "total_steps": 24897, "loss": 1.0103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002934607146828634, "epoch": 0.5, "percentage": 16.71, "elapsed_time": "2 days, 0:38:48", "remaining_time": "10 days, 2:29:50"} +{"current_steps": 4165, "total_steps": 24897, "loss": 0.9744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029343062837008076, "epoch": 0.5, "percentage": 16.73, "elapsed_time": "2 days, 0:42:31", "remaining_time": "10 days, 2:27:20"} +{"current_steps": 4170, "total_steps": 24897, "loss": 1.0276, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002934004745540812, "epoch": 0.5, "percentage": 16.75, "elapsed_time": "2 days, 0:46:13", "remaining_time": "10 days, 2:24:50"} +{"current_steps": 4175, "total_steps": 24897, "loss": 0.9822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029337025324905616, "epoch": 0.5, "percentage": 16.77, "elapsed_time": "2 days, 0:49:56", "remaining_time": "10 days, 2:22:20"} +{"current_steps": 4180, "total_steps": 24897, "loss": 1.0102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002933399644692287, "epoch": 0.5, "percentage": 16.79, "elapsed_time": "2 days, 0:53:39", "remaining_time": "10 days, 2:19:50"} +{"current_steps": 4185, "total_steps": 24897, "loss": 0.9913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029330960822885385, "epoch": 0.5, "percentage": 16.81, "elapsed_time": "2 days, 0:57:22", "remaining_time": "10 days, 2:17:20"} +{"current_steps": 4190, "total_steps": 24897, "loss": 0.9575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002932791845422182, "epoch": 0.5, "percentage": 16.83, "elapsed_time": "2 days, 1:01:04", "remaining_time": "10 days, 2:14:48"} +{"current_steps": 4195, "total_steps": 24897, "loss": 0.9891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029324869342364014, "epoch": 0.51, "percentage": 16.85, "elapsed_time": "2 days, 1:04:47", "remaining_time": "10 days, 2:12:18"} +{"current_steps": 4200, "total_steps": 24897, "loss": 0.994, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029321813488746983, "epoch": 0.51, "percentage": 16.87, "elapsed_time": "2 days, 1:08:29", "remaining_time": "10 days, 2:09:47"} +{"current_steps": 4205, "total_steps": 24897, "loss": 1.0039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002931875089480891, "epoch": 0.51, "percentage": 16.89, "elapsed_time": "2 days, 1:12:15", "remaining_time": "10 days, 2:07:28"} +{"current_steps": 4210, "total_steps": 24897, "loss": 0.9442, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002931568156199115, "epoch": 0.51, "percentage": 16.91, "elapsed_time": "2 days, 1:15:58", "remaining_time": "10 days, 2:05:00"} +{"current_steps": 4215, "total_steps": 24897, "loss": 0.885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002931260549173825, "epoch": 0.51, "percentage": 16.93, "elapsed_time": "2 days, 1:19:41", "remaining_time": "10 days, 2:02:28"} +{"current_steps": 4220, "total_steps": 24897, "loss": 1.0264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029309522685497886, "epoch": 0.51, "percentage": 16.95, "elapsed_time": "2 days, 1:23:23", "remaining_time": "10 days, 1:59:55"} +{"current_steps": 4225, "total_steps": 24897, "loss": 1.0025, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029306433144720947, "epoch": 0.51, "percentage": 16.97, "elapsed_time": "2 days, 1:27:06", "remaining_time": "10 days, 1:57:22"} +{"current_steps": 4230, "total_steps": 24897, "loss": 0.9908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002930333687086147, "epoch": 0.51, "percentage": 16.99, "elapsed_time": "2 days, 1:30:48", "remaining_time": "10 days, 1:54:50"} +{"current_steps": 4235, "total_steps": 24897, "loss": 0.988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002930023386537666, "epoch": 0.51, "percentage": 17.01, "elapsed_time": "2 days, 1:34:31", "remaining_time": "10 days, 1:52:16"} +{"current_steps": 4240, "total_steps": 24897, "loss": 0.9955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000292971241297269, "epoch": 0.51, "percentage": 17.03, "elapsed_time": "2 days, 1:38:14", "remaining_time": "10 days, 1:49:47"} +{"current_steps": 4245, "total_steps": 24897, "loss": 0.9956, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002929400766537573, "epoch": 0.51, "percentage": 17.05, "elapsed_time": "2 days, 1:41:57", "remaining_time": "10 days, 1:47:16"} +{"current_steps": 4250, "total_steps": 24897, "loss": 0.9968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002929088447378986, "epoch": 0.51, "percentage": 17.07, "elapsed_time": "2 days, 1:45:40", "remaining_time": "10 days, 1:44:43"} +{"current_steps": 4255, "total_steps": 24897, "loss": 0.9371, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002928775455643917, "epoch": 0.51, "percentage": 17.09, "elapsed_time": "2 days, 1:49:22", "remaining_time": "10 days, 1:42:10"} +{"current_steps": 4260, "total_steps": 24897, "loss": 0.999, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002928461791479671, "epoch": 0.51, "percentage": 17.11, "elapsed_time": "2 days, 1:53:05", "remaining_time": "10 days, 1:39:37"} +{"current_steps": 4265, "total_steps": 24897, "loss": 0.9618, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002928147455033868, "epoch": 0.51, "percentage": 17.13, "elapsed_time": "2 days, 1:56:48", "remaining_time": "10 days, 1:37:06"} +{"current_steps": 4270, "total_steps": 24897, "loss": 0.9693, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029278324464544455, "epoch": 0.51, "percentage": 17.15, "elapsed_time": "2 days, 2:00:31", "remaining_time": "10 days, 1:34:32"} +{"current_steps": 4275, "total_steps": 24897, "loss": 1.0408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029275167658896563, "epoch": 0.52, "percentage": 17.17, "elapsed_time": "2 days, 2:04:13", "remaining_time": "10 days, 1:31:57"} +{"current_steps": 4280, "total_steps": 24897, "loss": 1.0234, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029272004134880714, "epoch": 0.52, "percentage": 17.19, "elapsed_time": "2 days, 2:07:55", "remaining_time": "10 days, 1:29:21"} +{"current_steps": 4285, "total_steps": 24897, "loss": 0.9356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029268833893985756, "epoch": 0.52, "percentage": 17.21, "elapsed_time": "2 days, 2:11:38", "remaining_time": "10 days, 1:26:47"} +{"current_steps": 4290, "total_steps": 24897, "loss": 0.9183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029265656937703713, "epoch": 0.52, "percentage": 17.23, "elapsed_time": "2 days, 2:15:20", "remaining_time": "10 days, 1:24:13"} +{"current_steps": 4295, "total_steps": 24897, "loss": 0.9736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002926247326752977, "epoch": 0.52, "percentage": 17.25, "elapsed_time": "2 days, 2:19:03", "remaining_time": "10 days, 1:21:40"} +{"current_steps": 4300, "total_steps": 24897, "loss": 1.0085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029259282884962266, "epoch": 0.52, "percentage": 17.27, "elapsed_time": "2 days, 2:22:46", "remaining_time": "10 days, 1:19:05"} +{"current_steps": 4305, "total_steps": 24897, "loss": 0.9765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000292560857915027, "epoch": 0.52, "percentage": 17.29, "elapsed_time": "2 days, 2:26:35", "remaining_time": "10 days, 1:17:00"} +{"current_steps": 4310, "total_steps": 24897, "loss": 0.9646, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002925288198865573, "epoch": 0.52, "percentage": 17.31, "elapsed_time": "2 days, 2:30:18", "remaining_time": "10 days, 1:14:27"} +{"current_steps": 4315, "total_steps": 24897, "loss": 0.996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002924967147792917, "epoch": 0.52, "percentage": 17.33, "elapsed_time": "2 days, 2:34:01", "remaining_time": "10 days, 1:11:56"} +{"current_steps": 4320, "total_steps": 24897, "loss": 0.9635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029246454260833997, "epoch": 0.52, "percentage": 17.35, "elapsed_time": "2 days, 2:37:44", "remaining_time": "10 days, 1:09:21"} +{"current_steps": 4325, "total_steps": 24897, "loss": 0.9606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002924323033888434, "epoch": 0.52, "percentage": 17.37, "elapsed_time": "2 days, 2:41:27", "remaining_time": "10 days, 1:06:47"} +{"current_steps": 4330, "total_steps": 24897, "loss": 1.0319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002923999971359748, "epoch": 0.52, "percentage": 17.39, "elapsed_time": "2 days, 2:45:10", "remaining_time": "10 days, 1:04:14"} +{"current_steps": 4335, "total_steps": 24897, "loss": 1.0417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029236762386493863, "epoch": 0.52, "percentage": 17.41, "elapsed_time": "2 days, 2:48:52", "remaining_time": "10 days, 1:01:37"} +{"current_steps": 4340, "total_steps": 24897, "loss": 0.9815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002923351835909707, "epoch": 0.52, "percentage": 17.43, "elapsed_time": "2 days, 2:52:34", "remaining_time": "10 days, 0:58:57"} +{"current_steps": 4345, "total_steps": 24897, "loss": 1.0032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002923026763293387, "epoch": 0.52, "percentage": 17.45, "elapsed_time": "2 days, 2:56:17", "remaining_time": "10 days, 0:56:21"} +{"current_steps": 4350, "total_steps": 24897, "loss": 0.9955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002922701020953414, "epoch": 0.52, "percentage": 17.47, "elapsed_time": "2 days, 3:00:00", "remaining_time": "10 days, 0:53:45"} +{"current_steps": 4355, "total_steps": 24897, "loss": 0.9678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029223746090430944, "epoch": 0.52, "percentage": 17.49, "elapsed_time": "2 days, 3:03:41", "remaining_time": "10 days, 0:51:05"} +{"current_steps": 4360, "total_steps": 24897, "loss": 0.8918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002922047527716048, "epoch": 0.53, "percentage": 17.51, "elapsed_time": "2 days, 3:07:25", "remaining_time": "10 days, 0:48:33"} +{"current_steps": 4365, "total_steps": 24897, "loss": 0.9736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000292171977712621, "epoch": 0.53, "percentage": 17.53, "elapsed_time": "2 days, 3:11:07", "remaining_time": "10 days, 0:45:53"} +{"current_steps": 4370, "total_steps": 24897, "loss": 0.9471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029213913574278324, "epoch": 0.53, "percentage": 17.55, "elapsed_time": "2 days, 3:14:49", "remaining_time": "10 days, 0:43:14"} +{"current_steps": 4375, "total_steps": 24897, "loss": 1.0363, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029210622687754777, "epoch": 0.53, "percentage": 17.57, "elapsed_time": "2 days, 3:18:32", "remaining_time": "10 days, 0:40:38"} +{"current_steps": 4380, "total_steps": 24897, "loss": 0.8811, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002920732511324028, "epoch": 0.53, "percentage": 17.59, "elapsed_time": "2 days, 3:22:16", "remaining_time": "10 days, 0:38:06"} +{"current_steps": 4385, "total_steps": 24897, "loss": 0.9148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002920402085228677, "epoch": 0.53, "percentage": 17.61, "elapsed_time": "2 days, 3:26:00", "remaining_time": "10 days, 0:35:35"} +{"current_steps": 4390, "total_steps": 24897, "loss": 1.0029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002920070990644935, "epoch": 0.53, "percentage": 17.63, "elapsed_time": "2 days, 3:29:42", "remaining_time": "10 days, 0:32:58"} +{"current_steps": 4395, "total_steps": 24897, "loss": 0.8603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002919739227728625, "epoch": 0.53, "percentage": 17.65, "elapsed_time": "2 days, 3:33:25", "remaining_time": "10 days, 0:30:23"} +{"current_steps": 4400, "total_steps": 24897, "loss": 1.0115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002919406796635887, "epoch": 0.53, "percentage": 17.67, "elapsed_time": "2 days, 3:37:08", "remaining_time": "10 days, 0:27:46"} +{"current_steps": 4405, "total_steps": 24897, "loss": 1.0022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029190736975231736, "epoch": 0.53, "percentage": 17.69, "elapsed_time": "2 days, 3:40:57", "remaining_time": "10 days, 0:25:35"} +{"current_steps": 4410, "total_steps": 24897, "loss": 1.068, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029187399305472515, "epoch": 0.53, "percentage": 17.71, "elapsed_time": "2 days, 3:44:39", "remaining_time": "10 days, 0:22:54"} +{"current_steps": 4415, "total_steps": 24897, "loss": 0.9242, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002918405495865203, "epoch": 0.53, "percentage": 17.73, "elapsed_time": "2 days, 3:48:22", "remaining_time": "10 days, 0:20:19"} +{"current_steps": 4420, "total_steps": 24897, "loss": 0.9241, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002918070393634425, "epoch": 0.53, "percentage": 17.75, "elapsed_time": "2 days, 3:52:05", "remaining_time": "10 days, 0:17:44"} +{"current_steps": 4425, "total_steps": 24897, "loss": 1.0194, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029177346240126273, "epoch": 0.53, "percentage": 17.77, "elapsed_time": "2 days, 3:55:49", "remaining_time": "10 days, 0:15:12"} +{"current_steps": 4430, "total_steps": 24897, "loss": 1.0077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002917398187157834, "epoch": 0.53, "percentage": 17.79, "elapsed_time": "2 days, 3:59:33", "remaining_time": "10 days, 0:12:38"} +{"current_steps": 4435, "total_steps": 24897, "loss": 0.982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002917061083228383, "epoch": 0.53, "percentage": 17.81, "elapsed_time": "2 days, 4:03:15", "remaining_time": "10 days, 0:09:58"} +{"current_steps": 4440, "total_steps": 24897, "loss": 1.0397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002916723312382927, "epoch": 0.53, "percentage": 17.83, "elapsed_time": "2 days, 4:06:58", "remaining_time": "10 days, 0:07:18"} +{"current_steps": 4445, "total_steps": 24897, "loss": 0.963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029163848747804327, "epoch": 0.54, "percentage": 17.85, "elapsed_time": "2 days, 4:10:41", "remaining_time": "10 days, 0:04:40"} +{"current_steps": 4450, "total_steps": 24897, "loss": 0.9314, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029160457705801796, "epoch": 0.54, "percentage": 17.87, "elapsed_time": "2 days, 4:14:23", "remaining_time": "10 days, 0:02:01"} +{"current_steps": 4455, "total_steps": 24897, "loss": 1.0261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002915705999941761, "epoch": 0.54, "percentage": 17.89, "elapsed_time": "2 days, 4:18:06", "remaining_time": "9 days, 23:59:20"} +{"current_steps": 4460, "total_steps": 24897, "loss": 0.9295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002915365563025085, "epoch": 0.54, "percentage": 17.91, "elapsed_time": "2 days, 4:21:48", "remaining_time": "9 days, 23:56:39"} +{"current_steps": 4465, "total_steps": 24897, "loss": 0.8856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029150244599903725, "epoch": 0.54, "percentage": 17.93, "elapsed_time": "2 days, 4:25:31", "remaining_time": "9 days, 23:54:01"} +{"current_steps": 4470, "total_steps": 24897, "loss": 0.9803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002914682690998157, "epoch": 0.54, "percentage": 17.95, "elapsed_time": "2 days, 4:29:13", "remaining_time": "9 days, 23:51:17"} +{"current_steps": 4475, "total_steps": 24897, "loss": 0.9873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029143402562092875, "epoch": 0.54, "percentage": 17.97, "elapsed_time": "2 days, 4:32:55", "remaining_time": "9 days, 23:48:35"} +{"current_steps": 4480, "total_steps": 24897, "loss": 0.9647, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002913997155784924, "epoch": 0.54, "percentage": 17.99, "elapsed_time": "2 days, 4:36:37", "remaining_time": "9 days, 23:45:55"} +{"current_steps": 4485, "total_steps": 24897, "loss": 0.9814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029136533898865423, "epoch": 0.54, "percentage": 18.01, "elapsed_time": "2 days, 4:40:20", "remaining_time": "9 days, 23:43:15"} +{"current_steps": 4490, "total_steps": 24897, "loss": 0.9783, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002913308958675929, "epoch": 0.54, "percentage": 18.03, "elapsed_time": "2 days, 4:44:02", "remaining_time": "9 days, 23:40:33"} +{"current_steps": 4495, "total_steps": 24897, "loss": 0.8872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002912963862315185, "epoch": 0.54, "percentage": 18.05, "elapsed_time": "2 days, 4:47:45", "remaining_time": "9 days, 23:37:52"} +{"current_steps": 4500, "total_steps": 24897, "loss": 0.9641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002912618100966725, "epoch": 0.54, "percentage": 18.07, "elapsed_time": "2 days, 4:51:27", "remaining_time": "9 days, 23:35:11"} +{"current_steps": 4505, "total_steps": 24897, "loss": 0.9446, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029122716747932747, "epoch": 0.54, "percentage": 18.09, "elapsed_time": "2 days, 4:55:12", "remaining_time": "9 days, 23:32:37"} +{"current_steps": 4510, "total_steps": 24897, "loss": 0.9998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002911924583957874, "epoch": 0.54, "percentage": 18.11, "elapsed_time": "2 days, 4:58:55", "remaining_time": "9 days, 23:29:59"} +{"current_steps": 4515, "total_steps": 24897, "loss": 0.9414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029115768286238757, "epoch": 0.54, "percentage": 18.13, "elapsed_time": "2 days, 5:02:37", "remaining_time": "9 days, 23:27:16"} +{"current_steps": 4520, "total_steps": 24897, "loss": 1.0308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029112284089549445, "epoch": 0.54, "percentage": 18.15, "elapsed_time": "2 days, 5:06:20", "remaining_time": "9 days, 23:24:36"} +{"current_steps": 4525, "total_steps": 24897, "loss": 0.9426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002910879325115059, "epoch": 0.55, "percentage": 18.17, "elapsed_time": "2 days, 5:10:02", "remaining_time": "9 days, 23:21:53"} +{"current_steps": 4530, "total_steps": 24897, "loss": 0.9535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002910529577268509, "epoch": 0.55, "percentage": 18.19, "elapsed_time": "2 days, 5:13:21", "remaining_time": "9 days, 23:17:25"} +{"current_steps": 4535, "total_steps": 24897, "loss": 0.9453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002910179165579898, "epoch": 0.55, "percentage": 18.22, "elapsed_time": "2 days, 5:16:11", "remaining_time": "9 days, 23:10:49"} +{"current_steps": 4540, "total_steps": 24897, "loss": 1.051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029098280902141406, "epoch": 0.55, "percentage": 18.24, "elapsed_time": "2 days, 5:19:01", "remaining_time": "9 days, 23:04:11"} +{"current_steps": 4545, "total_steps": 24897, "loss": 0.9667, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002909476351336465, "epoch": 0.55, "percentage": 18.26, "elapsed_time": "2 days, 5:21:51", "remaining_time": "9 days, 22:57:35"} +{"current_steps": 4550, "total_steps": 24897, "loss": 0.9336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002909123949112412, "epoch": 0.55, "percentage": 18.28, "elapsed_time": "2 days, 5:24:41", "remaining_time": "9 days, 22:50:57"} +{"current_steps": 4555, "total_steps": 24897, "loss": 1.032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002908770883707832, "epoch": 0.55, "percentage": 18.3, "elapsed_time": "2 days, 5:27:31", "remaining_time": "9 days, 22:44:20"} +{"current_steps": 4560, "total_steps": 24897, "loss": 0.9452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029084171552888914, "epoch": 0.55, "percentage": 18.32, "elapsed_time": "2 days, 5:30:21", "remaining_time": "9 days, 22:37:44"} +{"current_steps": 4565, "total_steps": 24897, "loss": 0.9045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029080627640220647, "epoch": 0.55, "percentage": 18.34, "elapsed_time": "2 days, 5:33:10", "remaining_time": "9 days, 22:31:08"} +{"current_steps": 4570, "total_steps": 24897, "loss": 0.8976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002907707710074141, "epoch": 0.55, "percentage": 18.36, "elapsed_time": "2 days, 5:36:00", "remaining_time": "9 days, 22:24:33"} +{"current_steps": 4575, "total_steps": 24897, "loss": 0.8218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000290735199361222, "epoch": 0.55, "percentage": 18.38, "elapsed_time": "2 days, 5:38:50", "remaining_time": "9 days, 22:17:58"} +{"current_steps": 4580, "total_steps": 24897, "loss": 1.0663, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002906995614803715, "epoch": 0.55, "percentage": 18.4, "elapsed_time": "2 days, 5:41:40", "remaining_time": "9 days, 22:11:24"} +{"current_steps": 4585, "total_steps": 24897, "loss": 0.9277, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002906638573816348, "epoch": 0.55, "percentage": 18.42, "elapsed_time": "2 days, 5:44:29", "remaining_time": "9 days, 22:04:50"} +{"current_steps": 4590, "total_steps": 24897, "loss": 1.0149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002906280870818156, "epoch": 0.55, "percentage": 18.44, "elapsed_time": "2 days, 5:47:19", "remaining_time": "9 days, 21:58:17"} +{"current_steps": 4595, "total_steps": 24897, "loss": 1.0116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029059225059774844, "epoch": 0.55, "percentage": 18.46, "elapsed_time": "2 days, 5:50:09", "remaining_time": "9 days, 21:51:46"} +{"current_steps": 4600, "total_steps": 24897, "loss": 0.9966, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029055634794629924, "epoch": 0.55, "percentage": 18.48, "elapsed_time": "2 days, 5:52:59", "remaining_time": "9 days, 21:45:13"} +{"current_steps": 4605, "total_steps": 24897, "loss": 1.0375, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029052037914436494, "epoch": 0.55, "percentage": 18.5, "elapsed_time": "2 days, 5:55:51", "remaining_time": "9 days, 21:38:50"} +{"current_steps": 4610, "total_steps": 24897, "loss": 1.0045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029048434420887373, "epoch": 0.56, "percentage": 18.52, "elapsed_time": "2 days, 5:58:40", "remaining_time": "9 days, 21:32:15"} +{"current_steps": 4615, "total_steps": 24897, "loss": 1.0191, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002904482431567847, "epoch": 0.56, "percentage": 18.54, "elapsed_time": "2 days, 6:01:29", "remaining_time": "9 days, 21:25:41"} +{"current_steps": 4620, "total_steps": 24897, "loss": 1.0104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002904120760050884, "epoch": 0.56, "percentage": 18.56, "elapsed_time": "2 days, 6:04:18", "remaining_time": "9 days, 21:19:07"} +{"current_steps": 4625, "total_steps": 24897, "loss": 1.0659, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029037584277080616, "epoch": 0.56, "percentage": 18.58, "elapsed_time": "2 days, 6:07:07", "remaining_time": "9 days, 21:12:33"} +{"current_steps": 4630, "total_steps": 24897, "loss": 0.9496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029033954347099057, "epoch": 0.56, "percentage": 18.6, "elapsed_time": "2 days, 6:09:56", "remaining_time": "9 days, 21:06:01"} +{"current_steps": 4635, "total_steps": 24897, "loss": 0.9887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002903031781227253, "epoch": 0.56, "percentage": 18.62, "elapsed_time": "2 days, 6:12:45", "remaining_time": "9 days, 20:59:28"} +{"current_steps": 4640, "total_steps": 24897, "loss": 0.9417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029026674674312503, "epoch": 0.56, "percentage": 18.64, "elapsed_time": "2 days, 6:15:34", "remaining_time": "9 days, 20:52:56"} +{"current_steps": 4645, "total_steps": 24897, "loss": 0.9157, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002902302493493357, "epoch": 0.56, "percentage": 18.66, "elapsed_time": "2 days, 6:18:23", "remaining_time": "9 days, 20:46:25"} +{"current_steps": 4650, "total_steps": 24897, "loss": 0.958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029019368595853407, "epoch": 0.56, "percentage": 18.68, "elapsed_time": "2 days, 6:21:12", "remaining_time": "9 days, 20:39:54"} +{"current_steps": 4655, "total_steps": 24897, "loss": 1.05, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029015705658792817, "epoch": 0.56, "percentage": 18.7, "elapsed_time": "2 days, 6:24:00", "remaining_time": "9 days, 20:33:23"} +{"current_steps": 4660, "total_steps": 24897, "loss": 0.9891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029012036125475695, "epoch": 0.56, "percentage": 18.72, "elapsed_time": "2 days, 6:26:49", "remaining_time": "9 days, 20:26:53"} +{"current_steps": 4665, "total_steps": 24897, "loss": 1.0394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029008359997629045, "epoch": 0.56, "percentage": 18.74, "elapsed_time": "2 days, 6:29:38", "remaining_time": "9 days, 20:20:23"} +{"current_steps": 4670, "total_steps": 24897, "loss": 1.0221, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00029004677276982986, "epoch": 0.56, "percentage": 18.76, "elapsed_time": "2 days, 6:32:27", "remaining_time": "9 days, 20:13:54"} +{"current_steps": 4675, "total_steps": 24897, "loss": 1.0018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002900098796527071, "epoch": 0.56, "percentage": 18.78, "elapsed_time": "2 days, 6:35:16", "remaining_time": "9 days, 20:07:25"} +{"current_steps": 4680, "total_steps": 24897, "loss": 0.9171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028997292064228544, "epoch": 0.56, "percentage": 18.8, "elapsed_time": "2 days, 6:38:05", "remaining_time": "9 days, 20:00:56"} +{"current_steps": 4685, "total_steps": 24897, "loss": 0.9833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028993589575595894, "epoch": 0.56, "percentage": 18.82, "elapsed_time": "2 days, 6:40:54", "remaining_time": "9 days, 19:54:29"} +{"current_steps": 4690, "total_steps": 24897, "loss": 0.875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028989880501115276, "epoch": 0.57, "percentage": 18.84, "elapsed_time": "2 days, 6:43:44", "remaining_time": "9 days, 19:48:07"} +{"current_steps": 4695, "total_steps": 24897, "loss": 1.0055, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002898616484253231, "epoch": 0.57, "percentage": 18.86, "elapsed_time": "2 days, 6:46:34", "remaining_time": "9 days, 19:41:41"} +{"current_steps": 4700, "total_steps": 24897, "loss": 0.9464, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000289824426015957, "epoch": 0.57, "percentage": 18.88, "elapsed_time": "2 days, 6:49:23", "remaining_time": "9 days, 19:35:15"} +{"current_steps": 4705, "total_steps": 24897, "loss": 0.9814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028978713780057256, "epoch": 0.57, "percentage": 18.9, "elapsed_time": "2 days, 6:52:15", "remaining_time": "9 days, 19:29:06"} +{"current_steps": 4710, "total_steps": 24897, "loss": 0.9652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028974978379671894, "epoch": 0.57, "percentage": 18.92, "elapsed_time": "2 days, 6:55:05", "remaining_time": "9 days, 19:22:41"} +{"current_steps": 4715, "total_steps": 24897, "loss": 0.942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002897123640219761, "epoch": 0.57, "percentage": 18.94, "elapsed_time": "2 days, 6:57:55", "remaining_time": "9 days, 19:16:22"} +{"current_steps": 4720, "total_steps": 24897, "loss": 0.9741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000289674878493955, "epoch": 0.57, "percentage": 18.96, "elapsed_time": "2 days, 7:00:44", "remaining_time": "9 days, 19:09:58"} +{"current_steps": 4725, "total_steps": 24897, "loss": 0.9654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002896373272302977, "epoch": 0.57, "percentage": 18.98, "elapsed_time": "2 days, 7:03:34", "remaining_time": "9 days, 19:03:36"} +{"current_steps": 4730, "total_steps": 24897, "loss": 0.9247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002895997102486769, "epoch": 0.57, "percentage": 19.0, "elapsed_time": "2 days, 7:06:23", "remaining_time": "9 days, 18:57:16"} +{"current_steps": 4735, "total_steps": 24897, "loss": 0.9142, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002895620275667966, "epoch": 0.57, "percentage": 19.02, "elapsed_time": "2 days, 7:09:14", "remaining_time": "9 days, 18:50:58"} +{"current_steps": 4740, "total_steps": 24897, "loss": 0.9091, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028952427920239134, "epoch": 0.57, "percentage": 19.04, "elapsed_time": "2 days, 7:12:04", "remaining_time": "9 days, 18:44:42"} +{"current_steps": 4745, "total_steps": 24897, "loss": 0.9266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028948646517322686, "epoch": 0.57, "percentage": 19.06, "elapsed_time": "2 days, 7:14:53", "remaining_time": "9 days, 18:38:20"} +{"current_steps": 4750, "total_steps": 24897, "loss": 1.0734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002894485854970997, "epoch": 0.57, "percentage": 19.08, "elapsed_time": "2 days, 7:17:42", "remaining_time": "9 days, 18:31:58"} +{"current_steps": 4755, "total_steps": 24897, "loss": 1.0088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028941064019183713, "epoch": 0.57, "percentage": 19.1, "elapsed_time": "2 days, 7:20:31", "remaining_time": "9 days, 18:25:36"} +{"current_steps": 4760, "total_steps": 24897, "loss": 0.9595, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002893726292752977, "epoch": 0.57, "percentage": 19.12, "elapsed_time": "2 days, 7:23:20", "remaining_time": "9 days, 18:19:15"} +{"current_steps": 4765, "total_steps": 24897, "loss": 0.9354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002893345527653705, "epoch": 0.57, "percentage": 19.14, "elapsed_time": "2 days, 7:26:09", "remaining_time": "9 days, 18:12:54"} +{"current_steps": 4770, "total_steps": 24897, "loss": 0.9606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002892964106799757, "epoch": 0.57, "percentage": 19.16, "elapsed_time": "2 days, 7:28:58", "remaining_time": "9 days, 18:06:35"} +{"current_steps": 4775, "total_steps": 24897, "loss": 1.054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000289258203037064, "epoch": 0.58, "percentage": 19.18, "elapsed_time": "2 days, 7:31:47", "remaining_time": "9 days, 18:00:17"} +{"current_steps": 4780, "total_steps": 24897, "loss": 0.8363, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002892199298546174, "epoch": 0.58, "percentage": 19.2, "elapsed_time": "2 days, 7:34:37", "remaining_time": "9 days, 17:54:03"} +{"current_steps": 4785, "total_steps": 24897, "loss": 0.9375, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028918159115064846, "epoch": 0.58, "percentage": 19.22, "elapsed_time": "2 days, 7:37:26", "remaining_time": "9 days, 17:47:44"} +{"current_steps": 4790, "total_steps": 24897, "loss": 0.97, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002891431869432006, "epoch": 0.58, "percentage": 19.24, "elapsed_time": "2 days, 7:40:15", "remaining_time": "9 days, 17:41:26"} +{"current_steps": 4795, "total_steps": 24897, "loss": 0.9405, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002891047172503482, "epoch": 0.58, "percentage": 19.26, "elapsed_time": "2 days, 7:43:04", "remaining_time": "9 days, 17:35:08"} +{"current_steps": 4800, "total_steps": 24897, "loss": 1.011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002890661820901963, "epoch": 0.58, "percentage": 19.28, "elapsed_time": "2 days, 7:45:53", "remaining_time": "9 days, 17:28:51"} +{"current_steps": 4805, "total_steps": 24897, "loss": 0.854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028902758148088094, "epoch": 0.58, "percentage": 19.3, "elapsed_time": "2 days, 7:48:45", "remaining_time": "9 days, 17:22:43"} +{"current_steps": 4810, "total_steps": 24897, "loss": 0.9468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028898891544056873, "epoch": 0.58, "percentage": 19.32, "elapsed_time": "2 days, 7:51:34", "remaining_time": "9 days, 17:16:28"} +{"current_steps": 4815, "total_steps": 24897, "loss": 0.9918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002889501839874572, "epoch": 0.58, "percentage": 19.34, "elapsed_time": "2 days, 7:54:23", "remaining_time": "9 days, 17:10:12"} +{"current_steps": 4820, "total_steps": 24897, "loss": 0.9039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028891138713977476, "epoch": 0.58, "percentage": 19.36, "elapsed_time": "2 days, 7:57:12", "remaining_time": "9 days, 17:03:56"} +{"current_steps": 4825, "total_steps": 24897, "loss": 0.928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002888725249157804, "epoch": 0.58, "percentage": 19.38, "elapsed_time": "2 days, 8:00:01", "remaining_time": "9 days, 16:57:41"} +{"current_steps": 4830, "total_steps": 24897, "loss": 0.9622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000288833597333764, "epoch": 0.58, "percentage": 19.4, "elapsed_time": "2 days, 8:02:50", "remaining_time": "9 days, 16:51:26"} +{"current_steps": 4835, "total_steps": 24897, "loss": 0.9349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002887946044120461, "epoch": 0.58, "percentage": 19.42, "elapsed_time": "2 days, 8:05:39", "remaining_time": "9 days, 16:45:12"} +{"current_steps": 4840, "total_steps": 24897, "loss": 0.9223, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028875554616897823, "epoch": 0.58, "percentage": 19.44, "elapsed_time": "2 days, 8:08:28", "remaining_time": "9 days, 16:38:57"} +{"current_steps": 4845, "total_steps": 24897, "loss": 0.9518, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028871642262294234, "epoch": 0.58, "percentage": 19.46, "elapsed_time": "2 days, 8:11:17", "remaining_time": "9 days, 16:32:44"} +{"current_steps": 4850, "total_steps": 24897, "loss": 1.0257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002886772337923514, "epoch": 0.58, "percentage": 19.48, "elapsed_time": "2 days, 8:14:06", "remaining_time": "9 days, 16:26:31"} +{"current_steps": 4855, "total_steps": 24897, "loss": 1.0209, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002886379796956489, "epoch": 0.58, "percentage": 19.5, "elapsed_time": "2 days, 8:16:55", "remaining_time": "9 days, 16:20:19"} +{"current_steps": 4860, "total_steps": 24897, "loss": 0.9646, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002885986603513091, "epoch": 0.59, "percentage": 19.52, "elapsed_time": "2 days, 8:19:44", "remaining_time": "9 days, 16:14:07"} +{"current_steps": 4865, "total_steps": 24897, "loss": 0.9638, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028855927577783706, "epoch": 0.59, "percentage": 19.54, "elapsed_time": "2 days, 8:22:33", "remaining_time": "9 days, 16:07:55"} +{"current_steps": 4870, "total_steps": 24897, "loss": 0.9399, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002885198259937684, "epoch": 0.59, "percentage": 19.56, "elapsed_time": "2 days, 8:25:22", "remaining_time": "9 days, 16:01:46"} +{"current_steps": 4875, "total_steps": 24897, "loss": 0.9318, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002884803110176695, "epoch": 0.59, "percentage": 19.58, "elapsed_time": "2 days, 8:28:11", "remaining_time": "9 days, 15:55:35"} +{"current_steps": 4880, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028844073086813744, "epoch": 0.59, "percentage": 19.6, "elapsed_time": "2 days, 8:31:00", "remaining_time": "9 days, 15:49:25"} +{"current_steps": 4885, "total_steps": 24897, "loss": 0.9853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028840108556380006, "epoch": 0.59, "percentage": 19.62, "elapsed_time": "2 days, 8:33:49", "remaining_time": "9 days, 15:43:14"} +{"current_steps": 4890, "total_steps": 24897, "loss": 0.9558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028836137512331555, "epoch": 0.59, "percentage": 19.64, "elapsed_time": "2 days, 8:36:38", "remaining_time": "9 days, 15:37:04"} +{"current_steps": 4895, "total_steps": 24897, "loss": 0.9225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028832159956537306, "epoch": 0.59, "percentage": 19.66, "elapsed_time": "2 days, 8:39:27", "remaining_time": "9 days, 15:30:55"} +{"current_steps": 4900, "total_steps": 24897, "loss": 1.0125, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002882817589086924, "epoch": 0.59, "percentage": 19.68, "elapsed_time": "2 days, 8:42:16", "remaining_time": "9 days, 15:24:46"} +{"current_steps": 4905, "total_steps": 24897, "loss": 0.9748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002882418531720237, "epoch": 0.59, "percentage": 19.7, "elapsed_time": "2 days, 8:45:08", "remaining_time": "9 days, 15:18:48"} +{"current_steps": 4910, "total_steps": 24897, "loss": 0.972, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002882018823741481, "epoch": 0.59, "percentage": 19.72, "elapsed_time": "2 days, 8:47:57", "remaining_time": "9 days, 15:12:41"} +{"current_steps": 4915, "total_steps": 24897, "loss": 0.9201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028816184653387706, "epoch": 0.59, "percentage": 19.74, "elapsed_time": "2 days, 8:50:46", "remaining_time": "9 days, 15:06:33"} +{"current_steps": 4920, "total_steps": 24897, "loss": 0.9619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028812174567005285, "epoch": 0.59, "percentage": 19.76, "elapsed_time": "2 days, 8:53:35", "remaining_time": "9 days, 15:00:26"} +{"current_steps": 4925, "total_steps": 24897, "loss": 0.9707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002880815798015483, "epoch": 0.59, "percentage": 19.78, "elapsed_time": "2 days, 8:56:24", "remaining_time": "9 days, 14:54:19"} +{"current_steps": 4930, "total_steps": 24897, "loss": 0.9369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028804134894726665, "epoch": 0.59, "percentage": 19.8, "elapsed_time": "2 days, 8:59:13", "remaining_time": "9 days, 14:48:13"} +{"current_steps": 4935, "total_steps": 24897, "loss": 0.8942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028800105312614196, "epoch": 0.59, "percentage": 19.82, "elapsed_time": "2 days, 9:02:02", "remaining_time": "9 days, 14:42:07"} +{"current_steps": 4940, "total_steps": 24897, "loss": 0.8596, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028796069235713893, "epoch": 0.6, "percentage": 19.84, "elapsed_time": "2 days, 9:04:51", "remaining_time": "9 days, 14:36:01"} +{"current_steps": 4945, "total_steps": 24897, "loss": 1.0821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028792026665925245, "epoch": 0.6, "percentage": 19.86, "elapsed_time": "2 days, 9:07:40", "remaining_time": "9 days, 14:29:56"} +{"current_steps": 4950, "total_steps": 24897, "loss": 1.0417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002878797760515083, "epoch": 0.6, "percentage": 19.88, "elapsed_time": "2 days, 9:10:30", "remaining_time": "9 days, 14:23:52"} +{"current_steps": 4955, "total_steps": 24897, "loss": 0.9396, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002878392205529627, "epoch": 0.6, "percentage": 19.9, "elapsed_time": "2 days, 9:13:18", "remaining_time": "9 days, 14:17:47"} +{"current_steps": 4960, "total_steps": 24897, "loss": 0.9777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002877986001827024, "epoch": 0.6, "percentage": 19.92, "elapsed_time": "2 days, 9:16:07", "remaining_time": "9 days, 14:11:43"} +{"current_steps": 4965, "total_steps": 24897, "loss": 1.068, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028775791495984474, "epoch": 0.6, "percentage": 19.94, "elapsed_time": "2 days, 9:18:56", "remaining_time": "9 days, 14:05:39"} +{"current_steps": 4970, "total_steps": 24897, "loss": 0.9144, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002877171649035375, "epoch": 0.6, "percentage": 19.96, "elapsed_time": "2 days, 9:21:45", "remaining_time": "9 days, 13:59:36"} +{"current_steps": 4975, "total_steps": 24897, "loss": 0.8893, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028767635003295895, "epoch": 0.6, "percentage": 19.98, "elapsed_time": "2 days, 9:24:34", "remaining_time": "9 days, 13:53:33"} +{"current_steps": 4980, "total_steps": 24897, "loss": 0.9352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000287635470367318, "epoch": 0.6, "percentage": 20.0, "elapsed_time": "2 days, 9:27:23", "remaining_time": "9 days, 13:47:30"} +{"current_steps": 4985, "total_steps": 24897, "loss": 0.9593, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000287594525925854, "epoch": 0.6, "percentage": 20.02, "elapsed_time": "2 days, 9:30:12", "remaining_time": "9 days, 13:41:28"} +{"current_steps": 4990, "total_steps": 24897, "loss": 1.0398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002875535167278367, "epoch": 0.6, "percentage": 20.04, "elapsed_time": "2 days, 9:33:01", "remaining_time": "9 days, 13:35:26"} +{"current_steps": 4995, "total_steps": 24897, "loss": 0.9382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028751244279256647, "epoch": 0.6, "percentage": 20.06, "elapsed_time": "2 days, 9:35:50", "remaining_time": "9 days, 13:29:25"} +{"current_steps": 5000, "total_steps": 24897, "loss": 1.0408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002874713041393739, "epoch": 0.6, "percentage": 20.08, "elapsed_time": "2 days, 9:38:39", "remaining_time": "9 days, 13:23:24"} +{"current_steps": 5005, "total_steps": 24897, "loss": 1.0124, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002874301007876204, "epoch": 0.6, "percentage": 20.1, "elapsed_time": "2 days, 9:41:30", "remaining_time": "9 days, 13:17:32"} +{"current_steps": 5010, "total_steps": 24897, "loss": 1.0305, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028738883275669755, "epoch": 0.6, "percentage": 20.12, "elapsed_time": "2 days, 9:44:20", "remaining_time": "9 days, 13:11:33"} +{"current_steps": 5015, "total_steps": 24897, "loss": 0.9991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028734750006602746, "epoch": 0.6, "percentage": 20.14, "elapsed_time": "2 days, 9:47:09", "remaining_time": "9 days, 13:05:33"} +{"current_steps": 5020, "total_steps": 24897, "loss": 0.971, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002873061027350627, "epoch": 0.6, "percentage": 20.16, "elapsed_time": "2 days, 9:49:58", "remaining_time": "9 days, 12:59:34"} +{"current_steps": 5025, "total_steps": 24897, "loss": 0.9863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028726464078328615, "epoch": 0.61, "percentage": 20.18, "elapsed_time": "2 days, 9:52:47", "remaining_time": "9 days, 12:53:35"} +{"current_steps": 5030, "total_steps": 24897, "loss": 1.0478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028722311423021125, "epoch": 0.61, "percentage": 20.2, "elapsed_time": "2 days, 9:55:36", "remaining_time": "9 days, 12:47:38"} +{"current_steps": 5035, "total_steps": 24897, "loss": 0.9304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028718152309538175, "epoch": 0.61, "percentage": 20.22, "elapsed_time": "2 days, 9:58:25", "remaining_time": "9 days, 12:41:39"} +{"current_steps": 5040, "total_steps": 24897, "loss": 0.9557, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028713986739837183, "epoch": 0.61, "percentage": 20.24, "elapsed_time": "2 days, 10:01:14", "remaining_time": "9 days, 12:35:42"} +{"current_steps": 5045, "total_steps": 24897, "loss": 0.8907, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002870981471587861, "epoch": 0.61, "percentage": 20.26, "elapsed_time": "2 days, 10:04:03", "remaining_time": "9 days, 12:29:44"} +{"current_steps": 5050, "total_steps": 24897, "loss": 0.9355, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002870563623962593, "epoch": 0.61, "percentage": 20.28, "elapsed_time": "2 days, 10:06:52", "remaining_time": "9 days, 12:23:46"} +{"current_steps": 5055, "total_steps": 24897, "loss": 0.9905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028701451313045695, "epoch": 0.61, "percentage": 20.3, "elapsed_time": "2 days, 10:09:41", "remaining_time": "9 days, 12:17:49"} +{"current_steps": 5060, "total_steps": 24897, "loss": 0.9745, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002869725993810746, "epoch": 0.61, "percentage": 20.32, "elapsed_time": "2 days, 10:12:30", "remaining_time": "9 days, 12:11:53"} +{"current_steps": 5065, "total_steps": 24897, "loss": 0.9302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028693062116783816, "epoch": 0.61, "percentage": 20.34, "elapsed_time": "2 days, 10:15:19", "remaining_time": "9 days, 12:05:57"} +{"current_steps": 5070, "total_steps": 24897, "loss": 0.891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028688857851050416, "epoch": 0.61, "percentage": 20.36, "elapsed_time": "2 days, 10:18:09", "remaining_time": "9 days, 12:00:02"} +{"current_steps": 5075, "total_steps": 24897, "loss": 0.9716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002868464714288592, "epoch": 0.61, "percentage": 20.38, "elapsed_time": "2 days, 10:20:58", "remaining_time": "9 days, 11:54:07"} +{"current_steps": 5080, "total_steps": 24897, "loss": 0.9554, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002868042999427202, "epoch": 0.61, "percentage": 20.4, "elapsed_time": "2 days, 10:23:46", "remaining_time": "9 days, 11:48:12"} +{"current_steps": 5085, "total_steps": 24897, "loss": 0.8918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002867620640719346, "epoch": 0.61, "percentage": 20.42, "elapsed_time": "2 days, 10:26:35", "remaining_time": "9 days, 11:42:17"} +{"current_steps": 5090, "total_steps": 24897, "loss": 0.98, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028671976383637984, "epoch": 0.61, "percentage": 20.44, "elapsed_time": "2 days, 10:29:24", "remaining_time": "9 days, 11:36:22"} +{"current_steps": 5095, "total_steps": 24897, "loss": 0.8958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028667739925596395, "epoch": 0.61, "percentage": 20.46, "elapsed_time": "2 days, 10:32:13", "remaining_time": "9 days, 11:30:28"} +{"current_steps": 5100, "total_steps": 24897, "loss": 0.9356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000286634970350625, "epoch": 0.61, "percentage": 20.48, "elapsed_time": "2 days, 10:35:02", "remaining_time": "9 days, 11:24:34"} +{"current_steps": 5105, "total_steps": 24897, "loss": 0.9355, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028659247714033154, "epoch": 0.62, "percentage": 20.5, "elapsed_time": "2 days, 10:37:58", "remaining_time": "9 days, 11:19:07"} +{"current_steps": 5110, "total_steps": 24897, "loss": 1.0171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028654991964508224, "epoch": 0.62, "percentage": 20.52, "elapsed_time": "2 days, 10:40:47", "remaining_time": "9 days, 11:13:14"} +{"current_steps": 5115, "total_steps": 24897, "loss": 0.9634, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028650729788490606, "epoch": 0.62, "percentage": 20.54, "elapsed_time": "2 days, 10:43:36", "remaining_time": "9 days, 11:07:22"} +{"current_steps": 5120, "total_steps": 24897, "loss": 0.9728, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002864646118798622, "epoch": 0.62, "percentage": 20.56, "elapsed_time": "2 days, 10:46:25", "remaining_time": "9 days, 11:01:29"} +{"current_steps": 5125, "total_steps": 24897, "loss": 1.0805, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002864218616500402, "epoch": 0.62, "percentage": 20.58, "elapsed_time": "2 days, 10:49:14", "remaining_time": "9 days, 10:55:37"} +{"current_steps": 5130, "total_steps": 24897, "loss": 0.9261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028637904721555966, "epoch": 0.62, "percentage": 20.6, "elapsed_time": "2 days, 10:52:03", "remaining_time": "9 days, 10:49:46"} +{"current_steps": 5135, "total_steps": 24897, "loss": 1.0134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028633616859657045, "epoch": 0.62, "percentage": 20.62, "elapsed_time": "2 days, 10:54:52", "remaining_time": "9 days, 10:43:55"} +{"current_steps": 5140, "total_steps": 24897, "loss": 0.9414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002862932258132527, "epoch": 0.62, "percentage": 20.65, "elapsed_time": "2 days, 10:57:41", "remaining_time": "9 days, 10:38:06"} +{"current_steps": 5145, "total_steps": 24897, "loss": 0.9779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028625021888581685, "epoch": 0.62, "percentage": 20.67, "elapsed_time": "2 days, 11:00:30", "remaining_time": "9 days, 10:32:15"} +{"current_steps": 5150, "total_steps": 24897, "loss": 0.9707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002862071478345031, "epoch": 0.62, "percentage": 20.69, "elapsed_time": "2 days, 11:03:19", "remaining_time": "9 days, 10:26:26"} +{"current_steps": 5155, "total_steps": 24897, "loss": 0.9954, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028616401267958237, "epoch": 0.62, "percentage": 20.71, "elapsed_time": "2 days, 11:06:08", "remaining_time": "9 days, 10:20:36"} +{"current_steps": 5160, "total_steps": 24897, "loss": 0.9348, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028612081344135546, "epoch": 0.62, "percentage": 20.73, "elapsed_time": "2 days, 11:08:57", "remaining_time": "9 days, 10:14:46"} +{"current_steps": 5165, "total_steps": 24897, "loss": 0.9205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002860775501401532, "epoch": 0.62, "percentage": 20.75, "elapsed_time": "2 days, 11:11:46", "remaining_time": "9 days, 10:08:57"} +{"current_steps": 5170, "total_steps": 24897, "loss": 0.9649, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028603422279633694, "epoch": 0.62, "percentage": 20.77, "elapsed_time": "2 days, 11:14:35", "remaining_time": "9 days, 10:03:08"} +{"current_steps": 5175, "total_steps": 24897, "loss": 0.9648, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002859908314302978, "epoch": 0.62, "percentage": 20.79, "elapsed_time": "2 days, 11:17:24", "remaining_time": "9 days, 9:57:21"} +{"current_steps": 5180, "total_steps": 24897, "loss": 0.932, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028594737606245726, "epoch": 0.62, "percentage": 20.81, "elapsed_time": "2 days, 11:20:13", "remaining_time": "9 days, 9:51:32"} +{"current_steps": 5185, "total_steps": 24897, "loss": 0.9144, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028590385671326695, "epoch": 0.62, "percentage": 20.83, "elapsed_time": "2 days, 11:23:02", "remaining_time": "9 days, 9:45:45"} +{"current_steps": 5190, "total_steps": 24897, "loss": 0.965, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002858602734032084, "epoch": 0.63, "percentage": 20.85, "elapsed_time": "2 days, 11:25:51", "remaining_time": "9 days, 9:39:59"} +{"current_steps": 5195, "total_steps": 24897, "loss": 0.9766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028581662615279345, "epoch": 0.63, "percentage": 20.87, "elapsed_time": "2 days, 11:28:40", "remaining_time": "9 days, 9:34:11"} +{"current_steps": 5200, "total_steps": 24897, "loss": 0.9954, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028577291498256384, "epoch": 0.63, "percentage": 20.89, "elapsed_time": "2 days, 11:31:29", "remaining_time": "9 days, 9:28:24"} +{"current_steps": 5205, "total_steps": 24897, "loss": 0.9646, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002857291399130916, "epoch": 0.63, "percentage": 20.91, "elapsed_time": "2 days, 11:34:24", "remaining_time": "9 days, 9:22:59"} +{"current_steps": 5210, "total_steps": 24897, "loss": 1.0151, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002856853009649787, "epoch": 0.63, "percentage": 20.93, "elapsed_time": "2 days, 11:37:13", "remaining_time": "9 days, 9:17:14"} +{"current_steps": 5215, "total_steps": 24897, "loss": 1.0085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002856413981588572, "epoch": 0.63, "percentage": 20.95, "elapsed_time": "2 days, 11:40:02", "remaining_time": "9 days, 9:11:28"} +{"current_steps": 5220, "total_steps": 24897, "loss": 0.9588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028559743151538913, "epoch": 0.63, "percentage": 20.97, "elapsed_time": "2 days, 11:42:51", "remaining_time": "9 days, 9:05:43"} +{"current_steps": 5225, "total_steps": 24897, "loss": 0.9699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028555340105526676, "epoch": 0.63, "percentage": 20.99, "elapsed_time": "2 days, 11:45:40", "remaining_time": "9 days, 8:59:58"} +{"current_steps": 5230, "total_steps": 24897, "loss": 0.9939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002855093067992123, "epoch": 0.63, "percentage": 21.01, "elapsed_time": "2 days, 11:48:29", "remaining_time": "9 days, 8:54:12"} +{"current_steps": 5235, "total_steps": 24897, "loss": 0.8854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028546514876797796, "epoch": 0.63, "percentage": 21.03, "elapsed_time": "2 days, 11:51:18", "remaining_time": "9 days, 8:48:28"} +{"current_steps": 5240, "total_steps": 24897, "loss": 0.9255, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002854209269823459, "epoch": 0.63, "percentage": 21.05, "elapsed_time": "2 days, 11:54:07", "remaining_time": "9 days, 8:42:44"} +{"current_steps": 5245, "total_steps": 24897, "loss": 1.0226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002853766414631285, "epoch": 0.63, "percentage": 21.07, "elapsed_time": "2 days, 11:56:56", "remaining_time": "9 days, 8:37:01"} +{"current_steps": 5250, "total_steps": 24897, "loss": 0.9626, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002853322922311678, "epoch": 0.63, "percentage": 21.09, "elapsed_time": "2 days, 11:59:45", "remaining_time": "9 days, 8:31:17"} +{"current_steps": 5255, "total_steps": 24897, "loss": 0.957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002852878793073362, "epoch": 0.63, "percentage": 21.11, "elapsed_time": "2 days, 12:02:33", "remaining_time": "9 days, 8:25:34"} +{"current_steps": 5260, "total_steps": 24897, "loss": 0.8457, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002852434027125358, "epoch": 0.63, "percentage": 21.13, "elapsed_time": "2 days, 12:05:22", "remaining_time": "9 days, 8:19:51"} +{"current_steps": 5265, "total_steps": 24897, "loss": 1.0371, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028519886246769884, "epoch": 0.63, "percentage": 21.15, "elapsed_time": "2 days, 12:08:11", "remaining_time": "9 days, 8:14:08"} +{"current_steps": 5270, "total_steps": 24897, "loss": 0.9438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002851542585937873, "epoch": 0.63, "percentage": 21.17, "elapsed_time": "2 days, 12:11:00", "remaining_time": "9 days, 8:08:26"} +{"current_steps": 5275, "total_steps": 24897, "loss": 1.0244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002851095911117934, "epoch": 0.64, "percentage": 21.19, "elapsed_time": "2 days, 12:13:50", "remaining_time": "9 days, 8:02:46"} +{"current_steps": 5280, "total_steps": 24897, "loss": 1.0125, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028506486004273903, "epoch": 0.64, "percentage": 21.21, "elapsed_time": "2 days, 12:16:38", "remaining_time": "9 days, 7:57:04"} +{"current_steps": 5285, "total_steps": 24897, "loss": 0.9716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028502006540767616, "epoch": 0.64, "percentage": 21.23, "elapsed_time": "2 days, 12:19:27", "remaining_time": "9 days, 7:51:23"} +{"current_steps": 5290, "total_steps": 24897, "loss": 1.0393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002849752072276867, "epoch": 0.64, "percentage": 21.25, "elapsed_time": "2 days, 12:22:16", "remaining_time": "9 days, 7:45:42"} +{"current_steps": 5295, "total_steps": 24897, "loss": 1.0315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028493028552388223, "epoch": 0.64, "percentage": 21.27, "elapsed_time": "2 days, 12:25:05", "remaining_time": "9 days, 7:40:01"} +{"current_steps": 5300, "total_steps": 24897, "loss": 1.0352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028488530031740454, "epoch": 0.64, "percentage": 21.29, "elapsed_time": "2 days, 12:27:54", "remaining_time": "9 days, 7:34:21"} +{"current_steps": 5305, "total_steps": 24897, "loss": 0.8927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028484025162942516, "epoch": 0.64, "percentage": 21.31, "elapsed_time": "2 days, 12:30:49", "remaining_time": "9 days, 7:29:03"} +{"current_steps": 5310, "total_steps": 24897, "loss": 0.9503, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002847951394811454, "epoch": 0.64, "percentage": 21.33, "elapsed_time": "2 days, 12:33:38", "remaining_time": "9 days, 7:23:24"} +{"current_steps": 5315, "total_steps": 24897, "loss": 0.9118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002847499638937966, "epoch": 0.64, "percentage": 21.35, "elapsed_time": "2 days, 12:36:27", "remaining_time": "9 days, 7:17:45"} +{"current_steps": 5320, "total_steps": 24897, "loss": 0.9983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002847047248886399, "epoch": 0.64, "percentage": 21.37, "elapsed_time": "2 days, 12:39:16", "remaining_time": "9 days, 7:12:06"} +{"current_steps": 5325, "total_steps": 24897, "loss": 0.9512, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028465942248696624, "epoch": 0.64, "percentage": 21.39, "elapsed_time": "2 days, 12:42:05", "remaining_time": "9 days, 7:06:28"} +{"current_steps": 5330, "total_steps": 24897, "loss": 0.9539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028461405671009645, "epoch": 0.64, "percentage": 21.41, "elapsed_time": "2 days, 12:44:54", "remaining_time": "9 days, 7:00:49"} +{"current_steps": 5335, "total_steps": 24897, "loss": 0.9328, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028456862757938117, "epoch": 0.64, "percentage": 21.43, "elapsed_time": "2 days, 12:47:43", "remaining_time": "9 days, 6:55:12"} +{"current_steps": 5340, "total_steps": 24897, "loss": 0.9095, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002845231351162009, "epoch": 0.64, "percentage": 21.45, "elapsed_time": "2 days, 12:50:32", "remaining_time": "9 days, 6:49:35"} +{"current_steps": 5345, "total_steps": 24897, "loss": 0.8944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002844775793419659, "epoch": 0.64, "percentage": 21.47, "elapsed_time": "2 days, 12:53:21", "remaining_time": "9 days, 6:43:58"} +{"current_steps": 5350, "total_steps": 24897, "loss": 0.9468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028443196027811617, "epoch": 0.64, "percentage": 21.49, "elapsed_time": "2 days, 12:56:10", "remaining_time": "9 days, 6:38:21"} +{"current_steps": 5355, "total_steps": 24897, "loss": 0.9388, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002843862779461216, "epoch": 0.65, "percentage": 21.51, "elapsed_time": "2 days, 12:58:59", "remaining_time": "9 days, 6:32:44"} +{"current_steps": 5360, "total_steps": 24897, "loss": 0.9352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028434053236748175, "epoch": 0.65, "percentage": 21.53, "elapsed_time": "2 days, 13:01:48", "remaining_time": "9 days, 6:27:07"} +{"current_steps": 5365, "total_steps": 24897, "loss": 1.0138, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028429472356372606, "epoch": 0.65, "percentage": 21.55, "elapsed_time": "2 days, 13:04:37", "remaining_time": "9 days, 6:21:32"} +{"current_steps": 5370, "total_steps": 24897, "loss": 0.9843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028424885155641373, "epoch": 0.65, "percentage": 21.57, "elapsed_time": "2 days, 13:07:26", "remaining_time": "9 days, 6:15:57"} +{"current_steps": 5375, "total_steps": 24897, "loss": 0.9271, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028420291636713354, "epoch": 0.65, "percentage": 21.59, "elapsed_time": "2 days, 13:10:15", "remaining_time": "9 days, 6:10:23"} +{"current_steps": 5380, "total_steps": 24897, "loss": 1.0146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028415691801750417, "epoch": 0.65, "percentage": 21.61, "elapsed_time": "2 days, 13:13:04", "remaining_time": "9 days, 6:04:49"} +{"current_steps": 5385, "total_steps": 24897, "loss": 0.9973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000284110856529174, "epoch": 0.65, "percentage": 21.63, "elapsed_time": "2 days, 13:15:53", "remaining_time": "9 days, 5:59:13"} +{"current_steps": 5390, "total_steps": 24897, "loss": 1.0008, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000284064731923821, "epoch": 0.65, "percentage": 21.65, "elapsed_time": "2 days, 13:18:42", "remaining_time": "9 days, 5:53:38"} +{"current_steps": 5395, "total_steps": 24897, "loss": 0.8467, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028401854422315306, "epoch": 0.65, "percentage": 21.67, "elapsed_time": "2 days, 13:21:31", "remaining_time": "9 days, 5:48:04"} +{"current_steps": 5400, "total_steps": 24897, "loss": 0.9809, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002839722934489076, "epoch": 0.65, "percentage": 21.69, "elapsed_time": "2 days, 13:24:20", "remaining_time": "9 days, 5:42:31"} +{"current_steps": 5405, "total_steps": 24897, "loss": 0.9094, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002839259796228517, "epoch": 0.65, "percentage": 21.71, "elapsed_time": "2 days, 13:27:15", "remaining_time": "9 days, 5:37:19"} +{"current_steps": 5410, "total_steps": 24897, "loss": 0.9083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002838796027667823, "epoch": 0.65, "percentage": 21.73, "elapsed_time": "2 days, 13:30:04", "remaining_time": "9 days, 5:31:46"} +{"current_steps": 5415, "total_steps": 24897, "loss": 0.9278, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002838331629025258, "epoch": 0.65, "percentage": 21.75, "elapsed_time": "2 days, 13:32:53", "remaining_time": "9 days, 5:26:13"} +{"current_steps": 5420, "total_steps": 24897, "loss": 0.9629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028378666005193846, "epoch": 0.65, "percentage": 21.77, "elapsed_time": "2 days, 13:35:42", "remaining_time": "9 days, 5:20:41"} +{"current_steps": 5425, "total_steps": 24897, "loss": 0.952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002837400942369059, "epoch": 0.65, "percentage": 21.79, "elapsed_time": "2 days, 13:38:31", "remaining_time": "9 days, 5:15:08"} +{"current_steps": 5430, "total_steps": 24897, "loss": 0.9497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002836934654793436, "epoch": 0.65, "percentage": 21.81, "elapsed_time": "2 days, 13:41:20", "remaining_time": "9 days, 5:09:36"} +{"current_steps": 5435, "total_steps": 24897, "loss": 0.9298, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028364677380119665, "epoch": 0.65, "percentage": 21.83, "elapsed_time": "2 days, 13:44:09", "remaining_time": "9 days, 5:04:05"} +{"current_steps": 5440, "total_steps": 24897, "loss": 0.9502, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002836000192244397, "epoch": 0.66, "percentage": 21.85, "elapsed_time": "2 days, 13:46:58", "remaining_time": "9 days, 4:58:35"} +{"current_steps": 5445, "total_steps": 24897, "loss": 0.9299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000283553201771077, "epoch": 0.66, "percentage": 21.87, "elapsed_time": "2 days, 13:49:47", "remaining_time": "9 days, 4:53:03"} +{"current_steps": 5450, "total_steps": 24897, "loss": 0.8338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028350632146314234, "epoch": 0.66, "percentage": 21.89, "elapsed_time": "2 days, 13:52:36", "remaining_time": "9 days, 4:47:32"} +{"current_steps": 5455, "total_steps": 24897, "loss": 1.0148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028345937832269924, "epoch": 0.66, "percentage": 21.91, "elapsed_time": "2 days, 13:55:25", "remaining_time": "9 days, 4:42:02"} +{"current_steps": 5460, "total_steps": 24897, "loss": 0.9975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002834123723718406, "epoch": 0.66, "percentage": 21.93, "elapsed_time": "2 days, 13:58:14", "remaining_time": "9 days, 4:36:32"} +{"current_steps": 5465, "total_steps": 24897, "loss": 1.1051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028336530363268903, "epoch": 0.66, "percentage": 21.95, "elapsed_time": "2 days, 14:01:03", "remaining_time": "9 days, 4:31:03"} +{"current_steps": 5470, "total_steps": 24897, "loss": 0.9824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028331817212739666, "epoch": 0.66, "percentage": 21.97, "elapsed_time": "2 days, 14:03:52", "remaining_time": "9 days, 4:25:34"} +{"current_steps": 5475, "total_steps": 24897, "loss": 0.9437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002832709778781451, "epoch": 0.66, "percentage": 21.99, "elapsed_time": "2 days, 14:06:41", "remaining_time": "9 days, 4:20:05"} +{"current_steps": 5480, "total_steps": 24897, "loss": 0.8513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028322372090714565, "epoch": 0.66, "percentage": 22.01, "elapsed_time": "2 days, 14:09:30", "remaining_time": "9 days, 4:14:36"} +{"current_steps": 5485, "total_steps": 24897, "loss": 0.9249, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028317640123663886, "epoch": 0.66, "percentage": 22.03, "elapsed_time": "2 days, 14:12:19", "remaining_time": "9 days, 4:09:07"} +{"current_steps": 5490, "total_steps": 24897, "loss": 0.9966, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000283129018888895, "epoch": 0.66, "percentage": 22.05, "elapsed_time": "2 days, 14:15:09", "remaining_time": "9 days, 4:03:39"} +{"current_steps": 5495, "total_steps": 24897, "loss": 1.0219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028308157388621375, "epoch": 0.66, "percentage": 22.07, "elapsed_time": "2 days, 14:17:58", "remaining_time": "9 days, 3:58:12"} +{"current_steps": 5500, "total_steps": 24897, "loss": 0.9488, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028303406625092433, "epoch": 0.66, "percentage": 22.09, "elapsed_time": "2 days, 14:20:47", "remaining_time": "9 days, 3:52:44"} +{"current_steps": 5505, "total_steps": 24897, "loss": 0.9064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028298649600538546, "epoch": 0.66, "percentage": 22.11, "elapsed_time": "2 days, 14:23:42", "remaining_time": "9 days, 3:47:38"} +{"current_steps": 5510, "total_steps": 24897, "loss": 1.0173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002829388631719852, "epoch": 0.66, "percentage": 22.13, "elapsed_time": "2 days, 14:26:31", "remaining_time": "9 days, 3:42:12"} +{"current_steps": 5515, "total_steps": 24897, "loss": 0.9834, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002828911677731411, "epoch": 0.66, "percentage": 22.15, "elapsed_time": "2 days, 14:29:20", "remaining_time": "9 days, 3:36:46"} +{"current_steps": 5520, "total_steps": 24897, "loss": 0.935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028284340983130037, "epoch": 0.67, "percentage": 22.17, "elapsed_time": "2 days, 14:32:09", "remaining_time": "9 days, 3:31:19"} +{"current_steps": 5525, "total_steps": 24897, "loss": 0.9313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002827955893689393, "epoch": 0.67, "percentage": 22.19, "elapsed_time": "2 days, 14:34:58", "remaining_time": "9 days, 3:25:52"} +{"current_steps": 5530, "total_steps": 24897, "loss": 0.8606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028274770640856394, "epoch": 0.67, "percentage": 22.21, "elapsed_time": "2 days, 14:37:47", "remaining_time": "9 days, 3:20:26"} +{"current_steps": 5535, "total_steps": 24897, "loss": 1.0291, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028269976097270946, "epoch": 0.67, "percentage": 22.23, "elapsed_time": "2 days, 14:40:36", "remaining_time": "9 days, 3:15:00"} +{"current_steps": 5540, "total_steps": 24897, "loss": 0.9643, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002826517530839407, "epoch": 0.67, "percentage": 22.25, "elapsed_time": "2 days, 14:43:25", "remaining_time": "9 days, 3:09:35"} +{"current_steps": 5545, "total_steps": 24897, "loss": 0.9989, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002826036827648517, "epoch": 0.67, "percentage": 22.27, "elapsed_time": "2 days, 14:46:14", "remaining_time": "9 days, 3:04:10"} +{"current_steps": 5550, "total_steps": 24897, "loss": 0.9734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002825555500380659, "epoch": 0.67, "percentage": 22.29, "elapsed_time": "2 days, 14:49:03", "remaining_time": "9 days, 2:58:45"} +{"current_steps": 5555, "total_steps": 24897, "loss": 0.9381, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002825073549262363, "epoch": 0.67, "percentage": 22.31, "elapsed_time": "2 days, 14:51:53", "remaining_time": "9 days, 2:53:21"} +{"current_steps": 5560, "total_steps": 24897, "loss": 1.0319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000282459097452045, "epoch": 0.67, "percentage": 22.33, "elapsed_time": "2 days, 14:54:42", "remaining_time": "9 days, 2:47:57"} +{"current_steps": 5565, "total_steps": 24897, "loss": 1.0349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002824107776382036, "epoch": 0.67, "percentage": 22.35, "elapsed_time": "2 days, 14:57:31", "remaining_time": "9 days, 2:42:33"} +{"current_steps": 5570, "total_steps": 24897, "loss": 0.9762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028236239550745305, "epoch": 0.67, "percentage": 22.37, "elapsed_time": "2 days, 15:00:20", "remaining_time": "9 days, 2:37:10"} +{"current_steps": 5575, "total_steps": 24897, "loss": 1.0082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028231395108256353, "epoch": 0.67, "percentage": 22.39, "elapsed_time": "2 days, 15:03:09", "remaining_time": "9 days, 2:31:47"} +{"current_steps": 5580, "total_steps": 24897, "loss": 0.9993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002822654443863346, "epoch": 0.67, "percentage": 22.41, "elapsed_time": "2 days, 15:05:58", "remaining_time": "9 days, 2:26:24"} +{"current_steps": 5585, "total_steps": 24897, "loss": 0.9235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028221687544159515, "epoch": 0.67, "percentage": 22.43, "elapsed_time": "2 days, 15:08:47", "remaining_time": "9 days, 2:21:02"} +{"current_steps": 5590, "total_steps": 24897, "loss": 1.0188, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002821682442712033, "epoch": 0.67, "percentage": 22.45, "elapsed_time": "2 days, 15:11:37", "remaining_time": "9 days, 2:15:40"} +{"current_steps": 5595, "total_steps": 24897, "loss": 0.9934, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028211955089804664, "epoch": 0.67, "percentage": 22.47, "elapsed_time": "2 days, 15:14:26", "remaining_time": "9 days, 2:10:17"} +{"current_steps": 5600, "total_steps": 24897, "loss": 0.8919, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028207079534504166, "epoch": 0.67, "percentage": 22.49, "elapsed_time": "2 days, 15:17:15", "remaining_time": "9 days, 2:04:55"} +{"current_steps": 5605, "total_steps": 24897, "loss": 0.9338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002820219776351345, "epoch": 0.68, "percentage": 22.51, "elapsed_time": "2 days, 15:20:06", "remaining_time": "9 days, 1:59:41"} +{"current_steps": 5610, "total_steps": 24897, "loss": 0.9869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028197309779130037, "epoch": 0.68, "percentage": 22.53, "elapsed_time": "2 days, 15:22:55", "remaining_time": "9 days, 1:54:20"} +{"current_steps": 5615, "total_steps": 24897, "loss": 0.9206, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002819241558365437, "epoch": 0.68, "percentage": 22.55, "elapsed_time": "2 days, 15:25:44", "remaining_time": "9 days, 1:48:59"} +{"current_steps": 5620, "total_steps": 24897, "loss": 0.9267, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028187515179389826, "epoch": 0.68, "percentage": 22.57, "elapsed_time": "2 days, 15:28:33", "remaining_time": "9 days, 1:43:38"} +{"current_steps": 5625, "total_steps": 24897, "loss": 0.879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002818260856864269, "epoch": 0.68, "percentage": 22.59, "elapsed_time": "2 days, 15:31:22", "remaining_time": "9 days, 1:38:18"} +{"current_steps": 5630, "total_steps": 24897, "loss": 0.9952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002817769575372218, "epoch": 0.68, "percentage": 22.61, "elapsed_time": "2 days, 15:34:12", "remaining_time": "9 days, 1:32:58"} +{"current_steps": 5635, "total_steps": 24897, "loss": 0.8229, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028172776736940436, "epoch": 0.68, "percentage": 22.63, "elapsed_time": "2 days, 15:37:01", "remaining_time": "9 days, 1:27:39"} +{"current_steps": 5640, "total_steps": 24897, "loss": 0.9074, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000281678515206125, "epoch": 0.68, "percentage": 22.65, "elapsed_time": "2 days, 15:39:50", "remaining_time": "9 days, 1:22:19"} +{"current_steps": 5645, "total_steps": 24897, "loss": 0.9317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002816292010705635, "epoch": 0.68, "percentage": 22.67, "elapsed_time": "2 days, 15:42:39", "remaining_time": "9 days, 1:17:00"} +{"current_steps": 5650, "total_steps": 24897, "loss": 0.9046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002815798249859287, "epoch": 0.68, "percentage": 22.69, "elapsed_time": "2 days, 15:45:29", "remaining_time": "9 days, 1:11:43"} +{"current_steps": 5655, "total_steps": 24897, "loss": 1.0031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028153038697545867, "epoch": 0.68, "percentage": 22.71, "elapsed_time": "2 days, 15:48:18", "remaining_time": "9 days, 1:06:25"} +{"current_steps": 5660, "total_steps": 24897, "loss": 0.9259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002814808870624205, "epoch": 0.68, "percentage": 22.73, "elapsed_time": "2 days, 15:51:07", "remaining_time": "9 days, 1:01:06"} +{"current_steps": 5665, "total_steps": 24897, "loss": 0.961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028143132527011055, "epoch": 0.68, "percentage": 22.75, "elapsed_time": "2 days, 15:53:56", "remaining_time": "9 days, 0:55:48"} +{"current_steps": 5670, "total_steps": 24897, "loss": 0.863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028138170162185424, "epoch": 0.68, "percentage": 22.77, "elapsed_time": "2 days, 15:56:46", "remaining_time": "9 days, 0:50:30"} +{"current_steps": 5675, "total_steps": 24897, "loss": 0.948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028133201614100604, "epoch": 0.68, "percentage": 22.79, "elapsed_time": "2 days, 15:59:34", "remaining_time": "9 days, 0:45:11"} +{"current_steps": 5680, "total_steps": 24897, "loss": 0.9707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002812822688509497, "epoch": 0.68, "percentage": 22.81, "elapsed_time": "2 days, 16:02:24", "remaining_time": "9 days, 0:39:54"} +{"current_steps": 5685, "total_steps": 24897, "loss": 0.9417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028123245977509784, "epoch": 0.68, "percentage": 22.83, "elapsed_time": "2 days, 16:05:13", "remaining_time": "9 days, 0:34:36"} +{"current_steps": 5690, "total_steps": 24897, "loss": 1.0073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002811825889368924, "epoch": 0.69, "percentage": 22.85, "elapsed_time": "2 days, 16:08:02", "remaining_time": "9 days, 0:29:18"} +{"current_steps": 5695, "total_steps": 24897, "loss": 0.9885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002811326563598041, "epoch": 0.69, "percentage": 22.87, "elapsed_time": "2 days, 16:10:51", "remaining_time": "9 days, 0:24:02"} +{"current_steps": 5700, "total_steps": 24897, "loss": 0.9202, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002810826620673329, "epoch": 0.69, "percentage": 22.89, "elapsed_time": "2 days, 16:13:40", "remaining_time": "9 days, 0:18:45"} +{"current_steps": 5705, "total_steps": 24897, "loss": 1.1009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028103260608300785, "epoch": 0.69, "percentage": 22.91, "elapsed_time": "2 days, 16:16:31", "remaining_time": "9 days, 0:13:36"} +{"current_steps": 5710, "total_steps": 24897, "loss": 0.9689, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028098248843038694, "epoch": 0.69, "percentage": 22.93, "elapsed_time": "2 days, 16:19:20", "remaining_time": "9 days, 0:08:20"} +{"current_steps": 5715, "total_steps": 24897, "loss": 0.9474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028093230913305716, "epoch": 0.69, "percentage": 22.95, "elapsed_time": "2 days, 16:22:09", "remaining_time": "9 days, 0:03:05"} +{"current_steps": 5720, "total_steps": 24897, "loss": 0.8979, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028088206821463456, "epoch": 0.69, "percentage": 22.97, "elapsed_time": "2 days, 16:24:59", "remaining_time": "8 days, 23:57:52"} +{"current_steps": 5725, "total_steps": 24897, "loss": 0.9777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028083176569876426, "epoch": 0.69, "percentage": 22.99, "elapsed_time": "2 days, 16:27:48", "remaining_time": "8 days, 23:52:37"} +{"current_steps": 5730, "total_steps": 24897, "loss": 0.8788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028078140160912017, "epoch": 0.69, "percentage": 23.01, "elapsed_time": "2 days, 16:30:38", "remaining_time": "8 days, 23:47:22"} +{"current_steps": 5735, "total_steps": 24897, "loss": 0.9324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028073097596940537, "epoch": 0.69, "percentage": 23.03, "elapsed_time": "2 days, 16:33:27", "remaining_time": "8 days, 23:42:07"} +{"current_steps": 5740, "total_steps": 24897, "loss": 0.8419, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002806804888033519, "epoch": 0.69, "percentage": 23.05, "elapsed_time": "2 days, 16:36:16", "remaining_time": "8 days, 23:36:53"} +{"current_steps": 5745, "total_steps": 24897, "loss": 0.8578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002806299401347206, "epoch": 0.69, "percentage": 23.08, "elapsed_time": "2 days, 16:39:05", "remaining_time": "8 days, 23:31:39"} +{"current_steps": 5750, "total_steps": 24897, "loss": 0.9546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028057932998730136, "epoch": 0.69, "percentage": 23.1, "elapsed_time": "2 days, 16:41:54", "remaining_time": "8 days, 23:26:26"} +{"current_steps": 5755, "total_steps": 24897, "loss": 1.0046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028052865838491304, "epoch": 0.69, "percentage": 23.12, "elapsed_time": "2 days, 16:44:44", "remaining_time": "8 days, 23:21:12"} +{"current_steps": 5760, "total_steps": 24897, "loss": 0.9358, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028047792535140336, "epoch": 0.69, "percentage": 23.14, "elapsed_time": "2 days, 16:47:33", "remaining_time": "8 days, 23:16:00"} +{"current_steps": 5765, "total_steps": 24897, "loss": 0.9362, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028042713091064894, "epoch": 0.69, "percentage": 23.16, "elapsed_time": "2 days, 16:50:22", "remaining_time": "8 days, 23:10:47"} +{"current_steps": 5770, "total_steps": 24897, "loss": 0.9647, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028037627508655546, "epoch": 0.7, "percentage": 23.18, "elapsed_time": "2 days, 16:53:12", "remaining_time": "8 days, 23:05:35"} +{"current_steps": 5775, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002803253579030572, "epoch": 0.7, "percentage": 23.2, "elapsed_time": "2 days, 16:56:01", "remaining_time": "8 days, 23:00:23"} +{"current_steps": 5780, "total_steps": 24897, "loss": 0.9423, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002802743793841175, "epoch": 0.7, "percentage": 23.22, "elapsed_time": "2 days, 16:58:51", "remaining_time": "8 days, 22:55:12"} +{"current_steps": 5785, "total_steps": 24897, "loss": 0.9021, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028022333955372863, "epoch": 0.7, "percentage": 23.24, "elapsed_time": "2 days, 17:01:40", "remaining_time": "8 days, 22:50:01"} +{"current_steps": 5790, "total_steps": 24897, "loss": 1.0085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002801722384359116, "epoch": 0.7, "percentage": 23.26, "elapsed_time": "2 days, 17:04:29", "remaining_time": "8 days, 22:44:49"} +{"current_steps": 5795, "total_steps": 24897, "loss": 0.9346, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002801210760547162, "epoch": 0.7, "percentage": 23.28, "elapsed_time": "2 days, 17:07:19", "remaining_time": "8 days, 22:39:39"} +{"current_steps": 5800, "total_steps": 24897, "loss": 0.9919, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028006985243422133, "epoch": 0.7, "percentage": 23.3, "elapsed_time": "2 days, 17:10:08", "remaining_time": "8 days, 22:34:28"} +{"current_steps": 5805, "total_steps": 24897, "loss": 0.9016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00028001856759853435, "epoch": 0.7, "percentage": 23.32, "elapsed_time": "2 days, 17:13:07", "remaining_time": "8 days, 22:29:50"} +{"current_steps": 5810, "total_steps": 24897, "loss": 0.9511, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002799672215717917, "epoch": 0.7, "percentage": 23.34, "elapsed_time": "2 days, 17:15:57", "remaining_time": "8 days, 22:24:41"} +{"current_steps": 5815, "total_steps": 24897, "loss": 0.9397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002799158143781585, "epoch": 0.7, "percentage": 23.36, "elapsed_time": "2 days, 17:18:47", "remaining_time": "8 days, 22:19:32"} +{"current_steps": 5820, "total_steps": 24897, "loss": 1.0048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002798643460418286, "epoch": 0.7, "percentage": 23.38, "elapsed_time": "2 days, 17:21:36", "remaining_time": "8 days, 22:14:22"} +{"current_steps": 5825, "total_steps": 24897, "loss": 1.0018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002798128165870249, "epoch": 0.7, "percentage": 23.4, "elapsed_time": "2 days, 17:24:25", "remaining_time": "8 days, 22:09:12"} +{"current_steps": 5830, "total_steps": 24897, "loss": 1.0327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002797612260379987, "epoch": 0.7, "percentage": 23.42, "elapsed_time": "2 days, 17:27:14", "remaining_time": "8 days, 22:04:03"} +{"current_steps": 5835, "total_steps": 24897, "loss": 0.9205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002797095744190303, "epoch": 0.7, "percentage": 23.44, "elapsed_time": "2 days, 17:30:04", "remaining_time": "8 days, 21:58:53"} +{"current_steps": 5840, "total_steps": 24897, "loss": 0.9787, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027965786175442866, "epoch": 0.7, "percentage": 23.46, "elapsed_time": "2 days, 17:32:51", "remaining_time": "8 days, 21:53:40"} +{"current_steps": 5845, "total_steps": 24897, "loss": 0.9991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002796060880685315, "epoch": 0.7, "percentage": 23.48, "elapsed_time": "2 days, 17:35:39", "remaining_time": "8 days, 21:48:25"} +{"current_steps": 5850, "total_steps": 24897, "loss": 0.9982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002795542533857052, "epoch": 0.7, "percentage": 23.5, "elapsed_time": "2 days, 17:38:27", "remaining_time": "8 days, 21:43:13"} +{"current_steps": 5855, "total_steps": 24897, "loss": 0.8689, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027950235773034485, "epoch": 0.71, "percentage": 23.52, "elapsed_time": "2 days, 17:41:15", "remaining_time": "8 days, 21:38:00"} +{"current_steps": 5860, "total_steps": 24897, "loss": 0.9262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002794504011268744, "epoch": 0.71, "percentage": 23.54, "elapsed_time": "2 days, 17:44:03", "remaining_time": "8 days, 21:32:48"} +{"current_steps": 5865, "total_steps": 24897, "loss": 0.8788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002793983835997462, "epoch": 0.71, "percentage": 23.56, "elapsed_time": "2 days, 17:46:52", "remaining_time": "8 days, 21:27:39"} +{"current_steps": 5870, "total_steps": 24897, "loss": 0.9814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027934630517344145, "epoch": 0.71, "percentage": 23.58, "elapsed_time": "2 days, 17:49:40", "remaining_time": "8 days, 21:22:27"} +{"current_steps": 5875, "total_steps": 24897, "loss": 0.8917, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027929416587247014, "epoch": 0.71, "percentage": 23.6, "elapsed_time": "2 days, 17:52:30", "remaining_time": "8 days, 21:17:23"} +{"current_steps": 5880, "total_steps": 24897, "loss": 0.9915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027924196572137055, "epoch": 0.71, "percentage": 23.62, "elapsed_time": "2 days, 17:55:20", "remaining_time": "8 days, 21:12:16"} +{"current_steps": 5885, "total_steps": 24897, "loss": 1.0738, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027918970474470996, "epoch": 0.71, "percentage": 23.64, "elapsed_time": "2 days, 17:58:07", "remaining_time": "8 days, 21:07:03"} +{"current_steps": 5890, "total_steps": 24897, "loss": 0.9588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027913738296708404, "epoch": 0.71, "percentage": 23.66, "elapsed_time": "2 days, 18:00:54", "remaining_time": "8 days, 21:01:49"} +{"current_steps": 5895, "total_steps": 24897, "loss": 0.8978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002790850004131171, "epoch": 0.71, "percentage": 23.68, "elapsed_time": "2 days, 18:03:41", "remaining_time": "8 days, 20:56:37"} +{"current_steps": 5900, "total_steps": 24897, "loss": 0.8554, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002790325571074623, "epoch": 0.71, "percentage": 23.7, "elapsed_time": "2 days, 18:06:30", "remaining_time": "8 days, 20:51:27"} +{"current_steps": 5905, "total_steps": 24897, "loss": 0.8539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000278980053074801, "epoch": 0.71, "percentage": 23.72, "elapsed_time": "2 days, 18:09:25", "remaining_time": "8 days, 20:46:43"} +{"current_steps": 5910, "total_steps": 24897, "loss": 0.9656, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002789274883398435, "epoch": 0.71, "percentage": 23.74, "elapsed_time": "2 days, 18:12:14", "remaining_time": "8 days, 20:41:35"} +{"current_steps": 5915, "total_steps": 24897, "loss": 0.8647, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002788748629273284, "epoch": 0.71, "percentage": 23.76, "elapsed_time": "2 days, 18:15:02", "remaining_time": "8 days, 20:36:25"} +{"current_steps": 5920, "total_steps": 24897, "loss": 1.0071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027882217686202304, "epoch": 0.71, "percentage": 23.78, "elapsed_time": "2 days, 18:17:52", "remaining_time": "8 days, 20:31:21"} +{"current_steps": 5925, "total_steps": 24897, "loss": 1.0931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002787694301687231, "epoch": 0.71, "percentage": 23.8, "elapsed_time": "2 days, 18:20:39", "remaining_time": "8 days, 20:26:09"} +{"current_steps": 5930, "total_steps": 24897, "loss": 0.9013, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027871662287225316, "epoch": 0.71, "percentage": 23.82, "elapsed_time": "2 days, 18:23:26", "remaining_time": "8 days, 20:20:58"} +{"current_steps": 5935, "total_steps": 24897, "loss": 1.0245, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027866375499746587, "epoch": 0.72, "percentage": 23.84, "elapsed_time": "2 days, 18:26:15", "remaining_time": "8 days, 20:15:51"} +{"current_steps": 5940, "total_steps": 24897, "loss": 1.0055, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002786108265692427, "epoch": 0.72, "percentage": 23.86, "elapsed_time": "2 days, 18:29:03", "remaining_time": "8 days, 20:10:42"} +{"current_steps": 5945, "total_steps": 24897, "loss": 0.9285, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002785578376124935, "epoch": 0.72, "percentage": 23.88, "elapsed_time": "2 days, 18:31:51", "remaining_time": "8 days, 20:05:37"} +{"current_steps": 5950, "total_steps": 24897, "loss": 0.9615, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027850478815215666, "epoch": 0.72, "percentage": 23.9, "elapsed_time": "2 days, 18:34:39", "remaining_time": "8 days, 20:00:28"} +{"current_steps": 5955, "total_steps": 24897, "loss": 0.9641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000278451678213199, "epoch": 0.72, "percentage": 23.92, "elapsed_time": "2 days, 18:37:27", "remaining_time": "8 days, 19:55:20"} +{"current_steps": 5960, "total_steps": 24897, "loss": 0.8523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002783985078206158, "epoch": 0.72, "percentage": 23.94, "elapsed_time": "2 days, 18:40:17", "remaining_time": "8 days, 19:50:19"} +{"current_steps": 5965, "total_steps": 24897, "loss": 0.9104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027834527699943087, "epoch": 0.72, "percentage": 23.96, "elapsed_time": "2 days, 18:43:05", "remaining_time": "8 days, 19:45:12"} +{"current_steps": 5970, "total_steps": 24897, "loss": 0.9744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027829198577469636, "epoch": 0.72, "percentage": 23.98, "elapsed_time": "2 days, 18:45:55", "remaining_time": "8 days, 19:40:12"} +{"current_steps": 5975, "total_steps": 24897, "loss": 0.9429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002782386341714929, "epoch": 0.72, "percentage": 24.0, "elapsed_time": "2 days, 18:48:45", "remaining_time": "8 days, 19:35:12"} +{"current_steps": 5980, "total_steps": 24897, "loss": 0.9203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027818522221492953, "epoch": 0.72, "percentage": 24.02, "elapsed_time": "2 days, 18:51:33", "remaining_time": "8 days, 19:30:03"} +{"current_steps": 5985, "total_steps": 24897, "loss": 0.974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002781317499301437, "epoch": 0.72, "percentage": 24.04, "elapsed_time": "2 days, 18:54:20", "remaining_time": "8 days, 19:24:55"} +{"current_steps": 5990, "total_steps": 24897, "loss": 0.9027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002780782173423012, "epoch": 0.72, "percentage": 24.06, "elapsed_time": "2 days, 18:57:11", "remaining_time": "8 days, 19:19:57"} +{"current_steps": 5995, "total_steps": 24897, "loss": 0.9473, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002780246244765963, "epoch": 0.72, "percentage": 24.08, "elapsed_time": "2 days, 19:00:01", "remaining_time": "8 days, 19:14:59"} +{"current_steps": 6000, "total_steps": 24897, "loss": 0.9915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002779709713582515, "epoch": 0.72, "percentage": 24.1, "elapsed_time": "2 days, 19:02:52", "remaining_time": "8 days, 19:10:01"} +{"current_steps": 6005, "total_steps": 24897, "loss": 0.9481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027791725801251785, "epoch": 0.72, "percentage": 24.12, "elapsed_time": "2 days, 19:05:43", "remaining_time": "8 days, 19:05:06"} +{"current_steps": 6010, "total_steps": 24897, "loss": 0.996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027786348446467453, "epoch": 0.72, "percentage": 24.14, "elapsed_time": "2 days, 19:08:33", "remaining_time": "8 days, 19:00:06"} +{"current_steps": 6015, "total_steps": 24897, "loss": 0.9819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027780965074002925, "epoch": 0.72, "percentage": 24.16, "elapsed_time": "2 days, 19:11:21", "remaining_time": "8 days, 18:55:01"} +{"current_steps": 6020, "total_steps": 24897, "loss": 0.915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002777557568639179, "epoch": 0.73, "percentage": 24.18, "elapsed_time": "2 days, 19:14:11", "remaining_time": "8 days, 18:50:05"} +{"current_steps": 6025, "total_steps": 24897, "loss": 0.8848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002777018028617047, "epoch": 0.73, "percentage": 24.2, "elapsed_time": "2 days, 19:17:00", "remaining_time": "8 days, 18:45:01"} +{"current_steps": 6030, "total_steps": 24897, "loss": 1.0372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027764778875878225, "epoch": 0.73, "percentage": 24.22, "elapsed_time": "2 days, 19:19:49", "remaining_time": "8 days, 18:40:01"} +{"current_steps": 6035, "total_steps": 24897, "loss": 0.8555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002775937145805714, "epoch": 0.73, "percentage": 24.24, "elapsed_time": "2 days, 19:22:37", "remaining_time": "8 days, 18:34:57"} +{"current_steps": 6040, "total_steps": 24897, "loss": 1.0331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002775395803525211, "epoch": 0.73, "percentage": 24.26, "elapsed_time": "2 days, 19:25:26", "remaining_time": "8 days, 18:29:58"} +{"current_steps": 6045, "total_steps": 24897, "loss": 0.9875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002774853861001089, "epoch": 0.73, "percentage": 24.28, "elapsed_time": "2 days, 19:28:14", "remaining_time": "8 days, 18:24:53"} +{"current_steps": 6050, "total_steps": 24897, "loss": 0.9054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002774311318488404, "epoch": 0.73, "percentage": 24.3, "elapsed_time": "2 days, 19:31:02", "remaining_time": "8 days, 18:19:49"} +{"current_steps": 6055, "total_steps": 24897, "loss": 0.9755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027737681762424936, "epoch": 0.73, "percentage": 24.32, "elapsed_time": "2 days, 19:33:51", "remaining_time": "8 days, 18:14:51"} +{"current_steps": 6060, "total_steps": 24897, "loss": 0.9667, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002773224434518978, "epoch": 0.73, "percentage": 24.34, "elapsed_time": "2 days, 19:36:40", "remaining_time": "8 days, 18:09:48"} +{"current_steps": 6065, "total_steps": 24897, "loss": 0.9697, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002772680093573762, "epoch": 0.73, "percentage": 24.36, "elapsed_time": "2 days, 19:39:27", "remaining_time": "8 days, 18:04:42"} +{"current_steps": 6070, "total_steps": 24897, "loss": 1.0385, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002772135153663029, "epoch": 0.73, "percentage": 24.38, "elapsed_time": "2 days, 19:42:17", "remaining_time": "8 days, 17:59:47"} +{"current_steps": 6075, "total_steps": 24897, "loss": 0.868, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027715896150432473, "epoch": 0.73, "percentage": 24.4, "elapsed_time": "2 days, 19:45:08", "remaining_time": "8 days, 17:54:53"} +{"current_steps": 6080, "total_steps": 24897, "loss": 0.8924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002771043477971164, "epoch": 0.73, "percentage": 24.42, "elapsed_time": "2 days, 19:47:56", "remaining_time": "8 days, 17:49:51"} +{"current_steps": 6085, "total_steps": 24897, "loss": 0.9832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000277049674270381, "epoch": 0.73, "percentage": 24.44, "elapsed_time": "2 days, 19:50:43", "remaining_time": "8 days, 17:44:46"} +{"current_steps": 6090, "total_steps": 24897, "loss": 0.935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027699494094984964, "epoch": 0.73, "percentage": 24.46, "elapsed_time": "2 days, 19:53:30", "remaining_time": "8 days, 17:39:42"} +{"current_steps": 6095, "total_steps": 24897, "loss": 0.9392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027694014786128175, "epoch": 0.73, "percentage": 24.48, "elapsed_time": "2 days, 19:56:20", "remaining_time": "8 days, 17:34:48"} +{"current_steps": 6100, "total_steps": 24897, "loss": 0.9543, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027688529503046473, "epoch": 0.73, "percentage": 24.5, "elapsed_time": "2 days, 19:59:11", "remaining_time": "8 days, 17:29:56"} +{"current_steps": 6105, "total_steps": 24897, "loss": 0.9957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002768303824832141, "epoch": 0.74, "percentage": 24.52, "elapsed_time": "2 days, 20:02:03", "remaining_time": "8 days, 17:25:07"} +{"current_steps": 6110, "total_steps": 24897, "loss": 0.8959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027677541024537363, "epoch": 0.74, "percentage": 24.54, "elapsed_time": "2 days, 20:04:52", "remaining_time": "8 days, 17:20:09"} +{"current_steps": 6115, "total_steps": 24897, "loss": 0.9699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027672037834281497, "epoch": 0.74, "percentage": 24.56, "elapsed_time": "2 days, 20:07:43", "remaining_time": "8 days, 17:15:17"} +{"current_steps": 6120, "total_steps": 24897, "loss": 0.9096, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000276665286801438, "epoch": 0.74, "percentage": 24.58, "elapsed_time": "2 days, 20:10:33", "remaining_time": "8 days, 17:10:23"} +{"current_steps": 6125, "total_steps": 24897, "loss": 0.9936, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027661013564717063, "epoch": 0.74, "percentage": 24.6, "elapsed_time": "2 days, 20:13:20", "remaining_time": "8 days, 17:05:20"} +{"current_steps": 6130, "total_steps": 24897, "loss": 0.9246, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027655492490596885, "epoch": 0.74, "percentage": 24.62, "elapsed_time": "2 days, 20:16:07", "remaining_time": "8 days, 17:00:18"} +{"current_steps": 6135, "total_steps": 24897, "loss": 0.8891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002764996546038167, "epoch": 0.74, "percentage": 24.64, "elapsed_time": "2 days, 20:18:56", "remaining_time": "8 days, 16:55:19"} +{"current_steps": 6140, "total_steps": 24897, "loss": 1.0533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027644432476672614, "epoch": 0.74, "percentage": 24.66, "elapsed_time": "2 days, 20:21:45", "remaining_time": "8 days, 16:50:25"} +{"current_steps": 6145, "total_steps": 24897, "loss": 0.9701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027638893542073726, "epoch": 0.74, "percentage": 24.68, "elapsed_time": "2 days, 20:24:34", "remaining_time": "8 days, 16:45:27"} +{"current_steps": 6150, "total_steps": 24897, "loss": 0.8389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002763334865919181, "epoch": 0.74, "percentage": 24.7, "elapsed_time": "2 days, 20:27:23", "remaining_time": "8 days, 16:40:31"} +{"current_steps": 6155, "total_steps": 24897, "loss": 0.9749, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027627797830636475, "epoch": 0.74, "percentage": 24.72, "elapsed_time": "2 days, 20:30:22", "remaining_time": "8 days, 16:36:05"} +{"current_steps": 6160, "total_steps": 24897, "loss": 0.914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027622241059020123, "epoch": 0.74, "percentage": 24.74, "elapsed_time": "2 days, 20:33:11", "remaining_time": "8 days, 16:31:11"} +{"current_steps": 6165, "total_steps": 24897, "loss": 0.9121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002761667834695796, "epoch": 0.74, "percentage": 24.76, "elapsed_time": "2 days, 20:36:02", "remaining_time": "8 days, 16:26:20"} +{"current_steps": 6170, "total_steps": 24897, "loss": 0.8951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027611109697067975, "epoch": 0.74, "percentage": 24.78, "elapsed_time": "2 days, 20:38:50", "remaining_time": "8 days, 16:21:23"} +{"current_steps": 6175, "total_steps": 24897, "loss": 0.8982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027605535111970974, "epoch": 0.74, "percentage": 24.8, "elapsed_time": "2 days, 20:41:37", "remaining_time": "8 days, 16:16:21"} +{"current_steps": 6180, "total_steps": 24897, "loss": 1.0688, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002759995459429053, "epoch": 0.74, "percentage": 24.82, "elapsed_time": "2 days, 20:44:27", "remaining_time": "8 days, 16:11:30"} +{"current_steps": 6185, "total_steps": 24897, "loss": 0.8408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027594368146653013, "epoch": 0.75, "percentage": 24.84, "elapsed_time": "2 days, 20:47:17", "remaining_time": "8 days, 16:06:40"} +{"current_steps": 6190, "total_steps": 24897, "loss": 0.9014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002758877577168761, "epoch": 0.75, "percentage": 24.86, "elapsed_time": "2 days, 20:50:06", "remaining_time": "8 days, 16:01:43"} +{"current_steps": 6195, "total_steps": 24897, "loss": 0.9612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027583177472026264, "epoch": 0.75, "percentage": 24.88, "elapsed_time": "2 days, 20:52:55", "remaining_time": "8 days, 15:56:51"} +{"current_steps": 6200, "total_steps": 24897, "loss": 0.9728, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027577573250303725, "epoch": 0.75, "percentage": 24.9, "elapsed_time": "2 days, 20:55:46", "remaining_time": "8 days, 15:52:01"} +{"current_steps": 6205, "total_steps": 24897, "loss": 1.0169, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027571963109157533, "epoch": 0.75, "percentage": 24.92, "elapsed_time": "2 days, 20:58:36", "remaining_time": "8 days, 15:47:10"} +{"current_steps": 6210, "total_steps": 24897, "loss": 0.9771, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002756634705122799, "epoch": 0.75, "percentage": 24.94, "elapsed_time": "2 days, 21:01:23", "remaining_time": "8 days, 15:42:11"} +{"current_steps": 6215, "total_steps": 24897, "loss": 0.958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027560725079158214, "epoch": 0.75, "percentage": 24.96, "elapsed_time": "2 days, 21:04:14", "remaining_time": "8 days, 15:37:23"} +{"current_steps": 6220, "total_steps": 24897, "loss": 0.9748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027555097195594086, "epoch": 0.75, "percentage": 24.98, "elapsed_time": "2 days, 21:07:02", "remaining_time": "8 days, 15:32:28"} +{"current_steps": 6225, "total_steps": 24897, "loss": 0.9534, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002754946340318428, "epoch": 0.75, "percentage": 25.0, "elapsed_time": "2 days, 21:09:50", "remaining_time": "8 days, 15:27:31"} +{"current_steps": 6230, "total_steps": 24897, "loss": 0.9429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002754382370458024, "epoch": 0.75, "percentage": 25.02, "elapsed_time": "2 days, 21:12:37", "remaining_time": "8 days, 15:22:31"} +{"current_steps": 6235, "total_steps": 24897, "loss": 0.9563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027538178102436194, "epoch": 0.75, "percentage": 25.04, "elapsed_time": "2 days, 21:15:24", "remaining_time": "8 days, 15:17:34"} +{"current_steps": 6240, "total_steps": 24897, "loss": 0.9426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027532526599409154, "epoch": 0.75, "percentage": 25.06, "elapsed_time": "2 days, 21:18:11", "remaining_time": "8 days, 15:12:36"} +{"current_steps": 6245, "total_steps": 24897, "loss": 0.9798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000275268691981589, "epoch": 0.75, "percentage": 25.08, "elapsed_time": "2 days, 21:21:02", "remaining_time": "8 days, 15:07:49"} +{"current_steps": 6250, "total_steps": 24897, "loss": 0.9096, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027521205901348, "epoch": 0.75, "percentage": 25.1, "elapsed_time": "2 days, 21:23:50", "remaining_time": "8 days, 15:02:55"} +{"current_steps": 6255, "total_steps": 24897, "loss": 0.9817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002751553671164179, "epoch": 0.75, "percentage": 25.12, "elapsed_time": "2 days, 21:26:37", "remaining_time": "8 days, 14:57:57"} +{"current_steps": 6260, "total_steps": 24897, "loss": 0.9609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027509861631708373, "epoch": 0.75, "percentage": 25.14, "elapsed_time": "2 days, 21:29:26", "remaining_time": "8 days, 14:53:04"} +{"current_steps": 6265, "total_steps": 24897, "loss": 0.9862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002750418066421863, "epoch": 0.75, "percentage": 25.16, "elapsed_time": "2 days, 21:32:12", "remaining_time": "8 days, 14:48:05"} +{"current_steps": 6270, "total_steps": 24897, "loss": 0.9432, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002749849381184622, "epoch": 0.76, "percentage": 25.18, "elapsed_time": "2 days, 21:35:00", "remaining_time": "8 days, 14:43:10"} +{"current_steps": 6275, "total_steps": 24897, "loss": 0.9256, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027492801077267563, "epoch": 0.76, "percentage": 25.2, "elapsed_time": "2 days, 21:37:47", "remaining_time": "8 days, 14:38:12"} +{"current_steps": 6280, "total_steps": 24897, "loss": 0.9535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027487102463161835, "epoch": 0.76, "percentage": 25.22, "elapsed_time": "2 days, 21:40:34", "remaining_time": "8 days, 14:33:16"} +{"current_steps": 6285, "total_steps": 24897, "loss": 1.0035, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027481397972211013, "epoch": 0.76, "percentage": 25.24, "elapsed_time": "2 days, 21:43:22", "remaining_time": "8 days, 14:28:21"} +{"current_steps": 6290, "total_steps": 24897, "loss": 0.9953, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002747568760709981, "epoch": 0.76, "percentage": 25.26, "elapsed_time": "2 days, 21:46:09", "remaining_time": "8 days, 14:23:25"} +{"current_steps": 6295, "total_steps": 24897, "loss": 0.9733, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002746997137051571, "epoch": 0.76, "percentage": 25.28, "elapsed_time": "2 days, 21:48:59", "remaining_time": "8 days, 14:18:38"} +{"current_steps": 6300, "total_steps": 24897, "loss": 0.9024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027464249265148966, "epoch": 0.76, "percentage": 25.3, "elapsed_time": "2 days, 21:51:47", "remaining_time": "8 days, 14:13:46"} +{"current_steps": 6305, "total_steps": 24897, "loss": 1.0046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000274585212936926, "epoch": 0.76, "percentage": 25.32, "elapsed_time": "2 days, 21:54:38", "remaining_time": "8 days, 14:09:01"} +{"current_steps": 6310, "total_steps": 24897, "loss": 0.9343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027452787458842376, "epoch": 0.76, "percentage": 25.34, "elapsed_time": "2 days, 21:57:26", "remaining_time": "8 days, 14:04:09"} +{"current_steps": 6315, "total_steps": 24897, "loss": 0.9979, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002744704776329683, "epoch": 0.76, "percentage": 25.36, "elapsed_time": "2 days, 22:00:14", "remaining_time": "8 days, 13:59:15"} +{"current_steps": 6320, "total_steps": 24897, "loss": 0.9753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002744130220975725, "epoch": 0.76, "percentage": 25.38, "elapsed_time": "2 days, 22:03:00", "remaining_time": "8 days, 13:54:19"} +{"current_steps": 6325, "total_steps": 24897, "loss": 1.0369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002743555080092769, "epoch": 0.76, "percentage": 25.4, "elapsed_time": "2 days, 22:05:50", "remaining_time": "8 days, 13:49:32"} +{"current_steps": 6330, "total_steps": 24897, "loss": 0.9481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027429793539514953, "epoch": 0.76, "percentage": 25.42, "elapsed_time": "2 days, 22:08:37", "remaining_time": "8 days, 13:44:39"} +{"current_steps": 6335, "total_steps": 24897, "loss": 0.9951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002742403042822859, "epoch": 0.76, "percentage": 25.44, "elapsed_time": "2 days, 22:11:26", "remaining_time": "8 days, 13:39:50"} +{"current_steps": 6340, "total_steps": 24897, "loss": 0.9394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027418261469780924, "epoch": 0.76, "percentage": 25.46, "elapsed_time": "2 days, 22:14:14", "remaining_time": "8 days, 13:34:57"} +{"current_steps": 6345, "total_steps": 24897, "loss": 0.9354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027412486666887007, "epoch": 0.76, "percentage": 25.48, "elapsed_time": "2 days, 22:17:02", "remaining_time": "8 days, 13:30:07"} +{"current_steps": 6350, "total_steps": 24897, "loss": 0.9778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002740670602226466, "epoch": 0.77, "percentage": 25.51, "elapsed_time": "2 days, 22:19:51", "remaining_time": "8 days, 13:25:17"} +{"current_steps": 6355, "total_steps": 24897, "loss": 0.958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027400919538634444, "epoch": 0.77, "percentage": 25.53, "elapsed_time": "2 days, 22:22:38", "remaining_time": "8 days, 13:20:23"} +{"current_steps": 6360, "total_steps": 24897, "loss": 0.9722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027395127218719675, "epoch": 0.77, "percentage": 25.55, "elapsed_time": "2 days, 22:25:25", "remaining_time": "8 days, 13:15:29"} +{"current_steps": 6365, "total_steps": 24897, "loss": 0.9762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002738932906524641, "epoch": 0.77, "percentage": 25.57, "elapsed_time": "2 days, 22:28:13", "remaining_time": "8 days, 13:10:41"} +{"current_steps": 6370, "total_steps": 24897, "loss": 0.8488, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027383525080943447, "epoch": 0.77, "percentage": 25.59, "elapsed_time": "2 days, 22:31:01", "remaining_time": "8 days, 13:05:49"} +{"current_steps": 6375, "total_steps": 24897, "loss": 0.9401, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027377715268542334, "epoch": 0.77, "percentage": 25.61, "elapsed_time": "2 days, 22:33:50", "remaining_time": "8 days, 13:01:01"} +{"current_steps": 6380, "total_steps": 24897, "loss": 0.8912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002737189963077737, "epoch": 0.77, "percentage": 25.63, "elapsed_time": "2 days, 22:36:37", "remaining_time": "8 days, 12:56:09"} +{"current_steps": 6385, "total_steps": 24897, "loss": 0.9403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027366078170385573, "epoch": 0.77, "percentage": 25.65, "elapsed_time": "2 days, 22:39:25", "remaining_time": "8 days, 12:51:19"} +{"current_steps": 6390, "total_steps": 24897, "loss": 0.9351, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002736025089010673, "epoch": 0.77, "percentage": 25.67, "elapsed_time": "2 days, 22:42:14", "remaining_time": "8 days, 12:46:34"} +{"current_steps": 6395, "total_steps": 24897, "loss": 1.0048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002735441779268335, "epoch": 0.77, "percentage": 25.69, "elapsed_time": "2 days, 22:45:02", "remaining_time": "8 days, 12:41:43"} +{"current_steps": 6400, "total_steps": 24897, "loss": 0.9342, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027348578880860677, "epoch": 0.77, "percentage": 25.71, "elapsed_time": "2 days, 22:47:48", "remaining_time": "8 days, 12:36:50"} +{"current_steps": 6405, "total_steps": 24897, "loss": 0.9044, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002734273415738669, "epoch": 0.77, "percentage": 25.73, "elapsed_time": "2 days, 22:50:38", "remaining_time": "8 days, 12:32:07"} +{"current_steps": 6410, "total_steps": 24897, "loss": 1.0196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002733688362501213, "epoch": 0.77, "percentage": 25.75, "elapsed_time": "2 days, 22:53:26", "remaining_time": "8 days, 12:27:16"} +{"current_steps": 6415, "total_steps": 24897, "loss": 0.8445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002733102728649044, "epoch": 0.77, "percentage": 25.77, "elapsed_time": "2 days, 22:56:16", "remaining_time": "8 days, 12:22:35"} +{"current_steps": 6420, "total_steps": 24897, "loss": 0.924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027325165144577804, "epoch": 0.77, "percentage": 25.79, "elapsed_time": "2 days, 22:59:03", "remaining_time": "8 days, 12:17:45"} +{"current_steps": 6425, "total_steps": 24897, "loss": 0.9489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002731929720203315, "epoch": 0.77, "percentage": 25.81, "elapsed_time": "2 days, 23:01:54", "remaining_time": "8 days, 12:13:04"} +{"current_steps": 6430, "total_steps": 24897, "loss": 0.9385, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027313423461618116, "epoch": 0.77, "percentage": 25.83, "elapsed_time": "2 days, 23:04:45", "remaining_time": "8 days, 12:08:24"} +{"current_steps": 6435, "total_steps": 24897, "loss": 0.9673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002730754392609708, "epoch": 0.78, "percentage": 25.85, "elapsed_time": "2 days, 23:07:32", "remaining_time": "8 days, 12:03:35"} +{"current_steps": 6440, "total_steps": 24897, "loss": 0.8973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002730165859823716, "epoch": 0.78, "percentage": 25.87, "elapsed_time": "2 days, 23:10:23", "remaining_time": "8 days, 11:58:54"} +{"current_steps": 6445, "total_steps": 24897, "loss": 0.9234, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002729576748080818, "epoch": 0.78, "percentage": 25.89, "elapsed_time": "2 days, 23:13:10", "remaining_time": "8 days, 11:54:04"} +{"current_steps": 6450, "total_steps": 24897, "loss": 0.92, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027289870576582695, "epoch": 0.78, "percentage": 25.91, "elapsed_time": "2 days, 23:15:57", "remaining_time": "8 days, 11:49:15"} +{"current_steps": 6455, "total_steps": 24897, "loss": 0.9119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002728396788833598, "epoch": 0.78, "percentage": 25.93, "elapsed_time": "2 days, 23:18:48", "remaining_time": "8 days, 11:44:35"} +{"current_steps": 6460, "total_steps": 24897, "loss": 1.0518, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002727805941884603, "epoch": 0.78, "percentage": 25.95, "elapsed_time": "2 days, 23:21:35", "remaining_time": "8 days, 11:39:46"} +{"current_steps": 6465, "total_steps": 24897, "loss": 0.9255, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027272145170893585, "epoch": 0.78, "percentage": 25.97, "elapsed_time": "2 days, 23:24:26", "remaining_time": "8 days, 11:35:06"} +{"current_steps": 6470, "total_steps": 24897, "loss": 0.9481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027266225147262073, "epoch": 0.78, "percentage": 25.99, "elapsed_time": "2 days, 23:27:13", "remaining_time": "8 days, 11:30:18"} +{"current_steps": 6475, "total_steps": 24897, "loss": 0.9497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027260299350737656, "epoch": 0.78, "percentage": 26.01, "elapsed_time": "2 days, 23:30:02", "remaining_time": "8 days, 11:25:35"} +{"current_steps": 6480, "total_steps": 24897, "loss": 0.8827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002725436778410922, "epoch": 0.78, "percentage": 26.03, "elapsed_time": "2 days, 23:32:51", "remaining_time": "8 days, 11:20:50"} +{"current_steps": 6485, "total_steps": 24897, "loss": 0.8832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027248430450168345, "epoch": 0.78, "percentage": 26.05, "elapsed_time": "2 days, 23:35:41", "remaining_time": "8 days, 11:16:12"} +{"current_steps": 6490, "total_steps": 24897, "loss": 0.9101, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002724248735170934, "epoch": 0.78, "percentage": 26.07, "elapsed_time": "2 days, 23:38:32", "remaining_time": "8 days, 11:11:33"} +{"current_steps": 6495, "total_steps": 24897, "loss": 0.8445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027236538491529235, "epoch": 0.78, "percentage": 26.09, "elapsed_time": "2 days, 23:41:22", "remaining_time": "8 days, 11:06:52"} +{"current_steps": 6500, "total_steps": 24897, "loss": 0.9911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002723058387242775, "epoch": 0.78, "percentage": 26.11, "elapsed_time": "2 days, 23:44:09", "remaining_time": "8 days, 11:02:06"} +{"current_steps": 6505, "total_steps": 24897, "loss": 1.0032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002722462349720733, "epoch": 0.78, "percentage": 26.13, "elapsed_time": "2 days, 23:47:00", "remaining_time": "8 days, 10:57:29"} +{"current_steps": 6510, "total_steps": 24897, "loss": 1.0234, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002721865736867312, "epoch": 0.78, "percentage": 26.15, "elapsed_time": "2 days, 23:49:49", "remaining_time": "8 days, 10:52:46"} +{"current_steps": 6515, "total_steps": 24897, "loss": 0.9353, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027212685489632986, "epoch": 0.78, "percentage": 26.17, "elapsed_time": "2 days, 23:52:40", "remaining_time": "8 days, 10:48:09"} +{"current_steps": 6520, "total_steps": 24897, "loss": 0.8353, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002720670786289749, "epoch": 0.79, "percentage": 26.19, "elapsed_time": "2 days, 23:55:30", "remaining_time": "8 days, 10:43:31"} +{"current_steps": 6525, "total_steps": 24897, "loss": 0.9103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000272007244912799, "epoch": 0.79, "percentage": 26.21, "elapsed_time": "2 days, 23:58:20", "remaining_time": "8 days, 10:38:50"} +{"current_steps": 6530, "total_steps": 24897, "loss": 0.9829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002719473537759619, "epoch": 0.79, "percentage": 26.23, "elapsed_time": "3 days, 0:01:08", "remaining_time": "8 days, 10:34:08"} +{"current_steps": 6535, "total_steps": 24897, "loss": 0.9251, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002718874052466504, "epoch": 0.79, "percentage": 26.25, "elapsed_time": "3 days, 0:03:56", "remaining_time": "8 days, 10:29:23"} +{"current_steps": 6540, "total_steps": 24897, "loss": 0.9561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027182739935307826, "epoch": 0.79, "percentage": 26.27, "elapsed_time": "3 days, 0:06:45", "remaining_time": "8 days, 10:24:41"} +{"current_steps": 6545, "total_steps": 24897, "loss": 0.9561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027176733612348616, "epoch": 0.79, "percentage": 26.29, "elapsed_time": "3 days, 0:09:34", "remaining_time": "8 days, 10:19:59"} +{"current_steps": 6550, "total_steps": 24897, "loss": 0.9529, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002717072155861419, "epoch": 0.79, "percentage": 26.31, "elapsed_time": "3 days, 0:12:21", "remaining_time": "8 days, 10:15:15"} +{"current_steps": 6555, "total_steps": 24897, "loss": 0.8618, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002716470377693403, "epoch": 0.79, "percentage": 26.33, "elapsed_time": "3 days, 0:15:09", "remaining_time": "8 days, 10:10:29"} +{"current_steps": 6560, "total_steps": 24897, "loss": 1.0196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002715868027014029, "epoch": 0.79, "percentage": 26.35, "elapsed_time": "3 days, 0:17:56", "remaining_time": "8 days, 10:05:44"} +{"current_steps": 6565, "total_steps": 24897, "loss": 0.952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002715265104106784, "epoch": 0.79, "percentage": 26.37, "elapsed_time": "3 days, 0:20:45", "remaining_time": "8 days, 10:01:03"} +{"current_steps": 6570, "total_steps": 24897, "loss": 0.9513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002714661609255423, "epoch": 0.79, "percentage": 26.39, "elapsed_time": "3 days, 0:23:35", "remaining_time": "8 days, 9:56:27"} +{"current_steps": 6575, "total_steps": 24897, "loss": 0.9351, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002714057542743971, "epoch": 0.79, "percentage": 26.41, "elapsed_time": "3 days, 0:26:23", "remaining_time": "8 days, 9:51:44"} +{"current_steps": 6580, "total_steps": 24897, "loss": 0.9362, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027134529048567223, "epoch": 0.79, "percentage": 26.43, "elapsed_time": "3 days, 0:29:13", "remaining_time": "8 days, 9:47:05"} +{"current_steps": 6585, "total_steps": 24897, "loss": 1.0102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027128476958782386, "epoch": 0.79, "percentage": 26.45, "elapsed_time": "3 days, 0:32:01", "remaining_time": "8 days, 9:42:23"} +{"current_steps": 6590, "total_steps": 24897, "loss": 0.9414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027122419160933515, "epoch": 0.79, "percentage": 26.47, "elapsed_time": "3 days, 0:34:50", "remaining_time": "8 days, 9:37:43"} +{"current_steps": 6595, "total_steps": 24897, "loss": 0.9147, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002711635565787162, "epoch": 0.79, "percentage": 26.49, "elapsed_time": "3 days, 0:37:40", "remaining_time": "8 days, 9:33:07"} +{"current_steps": 6600, "total_steps": 24897, "loss": 0.892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027110286452450375, "epoch": 0.8, "percentage": 26.51, "elapsed_time": "3 days, 0:40:30", "remaining_time": "8 days, 9:28:30"} +{"current_steps": 6605, "total_steps": 24897, "loss": 0.9916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002710421154752616, "epoch": 0.8, "percentage": 26.53, "elapsed_time": "3 days, 0:43:20", "remaining_time": "8 days, 9:23:54"} +{"current_steps": 6610, "total_steps": 24897, "loss": 0.8616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002709813094595802, "epoch": 0.8, "percentage": 26.55, "elapsed_time": "3 days, 0:46:09", "remaining_time": "8 days, 9:19:14"} +{"current_steps": 6615, "total_steps": 24897, "loss": 0.939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002709204465060769, "epoch": 0.8, "percentage": 26.57, "elapsed_time": "3 days, 0:48:57", "remaining_time": "8 days, 9:14:35"} +{"current_steps": 6620, "total_steps": 24897, "loss": 0.9235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027085952664339586, "epoch": 0.8, "percentage": 26.59, "elapsed_time": "3 days, 0:51:45", "remaining_time": "8 days, 9:09:53"} +{"current_steps": 6625, "total_steps": 24897, "loss": 0.9558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027079854990020793, "epoch": 0.8, "percentage": 26.61, "elapsed_time": "3 days, 0:54:32", "remaining_time": "8 days, 9:05:10"} +{"current_steps": 6630, "total_steps": 24897, "loss": 0.9604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027073751630521083, "epoch": 0.8, "percentage": 26.63, "elapsed_time": "3 days, 0:57:20", "remaining_time": "8 days, 9:00:27"} +{"current_steps": 6635, "total_steps": 24897, "loss": 0.9706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000270676425887129, "epoch": 0.8, "percentage": 26.65, "elapsed_time": "3 days, 1:00:07", "remaining_time": "8 days, 8:55:45"} +{"current_steps": 6640, "total_steps": 24897, "loss": 1.0016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002706152786747136, "epoch": 0.8, "percentage": 26.67, "elapsed_time": "3 days, 1:02:55", "remaining_time": "8 days, 8:51:04"} +{"current_steps": 6645, "total_steps": 24897, "loss": 0.9146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027055407469674255, "epoch": 0.8, "percentage": 26.69, "elapsed_time": "3 days, 1:05:44", "remaining_time": "8 days, 8:46:24"} +{"current_steps": 6650, "total_steps": 24897, "loss": 0.9263, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027049281398202046, "epoch": 0.8, "percentage": 26.71, "elapsed_time": "3 days, 1:08:32", "remaining_time": "8 days, 8:41:45"} +{"current_steps": 6655, "total_steps": 24897, "loss": 0.9945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027043149655937864, "epoch": 0.8, "percentage": 26.73, "elapsed_time": "3 days, 1:11:22", "remaining_time": "8 days, 8:37:10"} +{"current_steps": 6660, "total_steps": 24897, "loss": 0.8995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002703701224576752, "epoch": 0.8, "percentage": 26.75, "elapsed_time": "3 days, 1:14:09", "remaining_time": "8 days, 8:32:28"} +{"current_steps": 6665, "total_steps": 24897, "loss": 0.899, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002703086917057947, "epoch": 0.8, "percentage": 26.77, "elapsed_time": "3 days, 1:17:15", "remaining_time": "8 days, 8:28:36"} +{"current_steps": 6670, "total_steps": 24897, "loss": 1.0311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002702472043326486, "epoch": 0.8, "percentage": 26.79, "elapsed_time": "3 days, 1:20:55", "remaining_time": "8 days, 8:26:19"} +{"current_steps": 6675, "total_steps": 24897, "loss": 0.9162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027018566036717483, "epoch": 0.8, "percentage": 26.81, "elapsed_time": "3 days, 1:24:36", "remaining_time": "8 days, 8:24:04"} +{"current_steps": 6680, "total_steps": 24897, "loss": 0.9609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027012405983833806, "epoch": 0.8, "percentage": 26.83, "elapsed_time": "3 days, 1:28:16", "remaining_time": "8 days, 8:21:47"} +{"current_steps": 6685, "total_steps": 24897, "loss": 0.9741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00027006240277512955, "epoch": 0.81, "percentage": 26.85, "elapsed_time": "3 days, 1:31:56", "remaining_time": "8 days, 8:19:30"} +{"current_steps": 6690, "total_steps": 24897, "loss": 0.9016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002700006892065671, "epoch": 0.81, "percentage": 26.87, "elapsed_time": "3 days, 1:35:37", "remaining_time": "8 days, 8:17:13"} +{"current_steps": 6695, "total_steps": 24897, "loss": 0.8804, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002699389191616952, "epoch": 0.81, "percentage": 26.89, "elapsed_time": "3 days, 1:39:17", "remaining_time": "8 days, 8:14:55"} +{"current_steps": 6700, "total_steps": 24897, "loss": 0.8731, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026987709266958497, "epoch": 0.81, "percentage": 26.91, "elapsed_time": "3 days, 1:42:57", "remaining_time": "8 days, 8:12:38"} +{"current_steps": 6705, "total_steps": 24897, "loss": 1.0018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002698152097593339, "epoch": 0.81, "percentage": 26.93, "elapsed_time": "3 days, 1:46:40", "remaining_time": "8 days, 8:10:27"} +{"current_steps": 6710, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002697532704600662, "epoch": 0.81, "percentage": 26.95, "elapsed_time": "3 days, 1:50:21", "remaining_time": "8 days, 8:08:09"} +{"current_steps": 6715, "total_steps": 24897, "loss": 1.071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002696912748009325, "epoch": 0.81, "percentage": 26.97, "elapsed_time": "3 days, 1:54:01", "remaining_time": "8 days, 8:05:53"} +{"current_steps": 6720, "total_steps": 24897, "loss": 0.8599, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026962922281111, "epoch": 0.81, "percentage": 26.99, "elapsed_time": "3 days, 1:57:42", "remaining_time": "8 days, 8:03:37"} +{"current_steps": 6725, "total_steps": 24897, "loss": 0.974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002695671145198026, "epoch": 0.81, "percentage": 27.01, "elapsed_time": "3 days, 2:01:24", "remaining_time": "8 days, 8:01:21"} +{"current_steps": 6730, "total_steps": 24897, "loss": 0.8391, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026950494995624035, "epoch": 0.81, "percentage": 27.03, "elapsed_time": "3 days, 2:05:06", "remaining_time": "8 days, 7:59:07"} +{"current_steps": 6735, "total_steps": 24897, "loss": 0.9452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026944272914968, "epoch": 0.81, "percentage": 27.05, "elapsed_time": "3 days, 2:08:46", "remaining_time": "8 days, 7:56:51"} +{"current_steps": 6740, "total_steps": 24897, "loss": 0.8612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026938045212940477, "epoch": 0.81, "percentage": 27.07, "elapsed_time": "3 days, 2:12:26", "remaining_time": "8 days, 7:54:31"} +{"current_steps": 6745, "total_steps": 24897, "loss": 0.9701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026931811892472423, "epoch": 0.81, "percentage": 27.09, "elapsed_time": "3 days, 2:16:07", "remaining_time": "8 days, 7:52:13"} +{"current_steps": 6750, "total_steps": 24897, "loss": 0.8717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026925572956497455, "epoch": 0.81, "percentage": 27.11, "elapsed_time": "3 days, 2:19:47", "remaining_time": "8 days, 7:49:55"} +{"current_steps": 6755, "total_steps": 24897, "loss": 0.9054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026919328407951814, "epoch": 0.81, "percentage": 27.13, "elapsed_time": "3 days, 2:23:28", "remaining_time": "8 days, 7:47:37"} +{"current_steps": 6760, "total_steps": 24897, "loss": 0.961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002691307824977439, "epoch": 0.81, "percentage": 27.15, "elapsed_time": "3 days, 2:27:09", "remaining_time": "8 days, 7:45:20"} +{"current_steps": 6765, "total_steps": 24897, "loss": 0.8992, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002690682248490673, "epoch": 0.82, "percentage": 27.17, "elapsed_time": "3 days, 2:30:50", "remaining_time": "8 days, 7:43:03"} +{"current_steps": 6770, "total_steps": 24897, "loss": 0.9011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026900561116292995, "epoch": 0.82, "percentage": 27.19, "elapsed_time": "3 days, 2:34:32", "remaining_time": "8 days, 7:40:47"} +{"current_steps": 6775, "total_steps": 24897, "loss": 0.9485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002689429414687999, "epoch": 0.82, "percentage": 27.21, "elapsed_time": "3 days, 2:38:12", "remaining_time": "8 days, 7:38:28"} +{"current_steps": 6780, "total_steps": 24897, "loss": 1.0081, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002688802157961716, "epoch": 0.82, "percentage": 27.23, "elapsed_time": "3 days, 2:41:54", "remaining_time": "8 days, 7:36:11"} +{"current_steps": 6785, "total_steps": 24897, "loss": 0.9562, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026881743417456585, "epoch": 0.82, "percentage": 27.25, "elapsed_time": "3 days, 2:45:34", "remaining_time": "8 days, 7:33:51"} +{"current_steps": 6790, "total_steps": 24897, "loss": 1.0096, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002687545966335298, "epoch": 0.82, "percentage": 27.27, "elapsed_time": "3 days, 2:49:14", "remaining_time": "8 days, 7:31:32"} +{"current_steps": 6795, "total_steps": 24897, "loss": 1.0249, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026869170320263685, "epoch": 0.82, "percentage": 27.29, "elapsed_time": "3 days, 2:52:56", "remaining_time": "8 days, 7:29:15"} +{"current_steps": 6800, "total_steps": 24897, "loss": 1.0383, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026862875391148676, "epoch": 0.82, "percentage": 27.31, "elapsed_time": "3 days, 2:56:36", "remaining_time": "8 days, 7:26:56"} +{"current_steps": 6805, "total_steps": 24897, "loss": 0.9589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002685657487897055, "epoch": 0.82, "percentage": 27.33, "elapsed_time": "3 days, 3:00:19", "remaining_time": "8 days, 7:24:43"} +{"current_steps": 6810, "total_steps": 24897, "loss": 0.9232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002685026878669455, "epoch": 0.82, "percentage": 27.35, "elapsed_time": "3 days, 3:04:01", "remaining_time": "8 days, 7:22:26"} +{"current_steps": 6815, "total_steps": 24897, "loss": 0.8744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002684395711728851, "epoch": 0.82, "percentage": 27.37, "elapsed_time": "3 days, 3:07:41", "remaining_time": "8 days, 7:20:05"} +{"current_steps": 6820, "total_steps": 24897, "loss": 0.9788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026837639873722934, "epoch": 0.82, "percentage": 27.39, "elapsed_time": "3 days, 3:11:22", "remaining_time": "8 days, 7:17:47"} +{"current_steps": 6825, "total_steps": 24897, "loss": 0.9007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002683131705897092, "epoch": 0.82, "percentage": 27.41, "elapsed_time": "3 days, 3:15:04", "remaining_time": "8 days, 7:15:31"} +{"current_steps": 6830, "total_steps": 24897, "loss": 0.9501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002682498867600819, "epoch": 0.82, "percentage": 27.43, "elapsed_time": "3 days, 3:18:45", "remaining_time": "8 days, 7:13:12"} +{"current_steps": 6835, "total_steps": 24897, "loss": 0.9366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026818654727813086, "epoch": 0.82, "percentage": 27.45, "elapsed_time": "3 days, 3:22:26", "remaining_time": "8 days, 7:10:52"} +{"current_steps": 6840, "total_steps": 24897, "loss": 0.9437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002681231521736659, "epoch": 0.82, "percentage": 27.47, "elapsed_time": "3 days, 3:26:07", "remaining_time": "8 days, 7:08:33"} +{"current_steps": 6845, "total_steps": 24897, "loss": 0.8672, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026805970147652277, "epoch": 0.82, "percentage": 27.49, "elapsed_time": "3 days, 3:29:47", "remaining_time": "8 days, 7:06:13"} +{"current_steps": 6850, "total_steps": 24897, "loss": 1.0109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026799619521656346, "epoch": 0.83, "percentage": 27.51, "elapsed_time": "3 days, 3:33:28", "remaining_time": "8 days, 7:03:54"} +{"current_steps": 6855, "total_steps": 24897, "loss": 0.9201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026793263342367616, "epoch": 0.83, "percentage": 27.53, "elapsed_time": "3 days, 3:37:09", "remaining_time": "8 days, 7:01:34"} +{"current_steps": 6860, "total_steps": 24897, "loss": 0.9206, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002678690161277752, "epoch": 0.83, "percentage": 27.55, "elapsed_time": "3 days, 3:40:50", "remaining_time": "8 days, 6:59:14"} +{"current_steps": 6865, "total_steps": 24897, "loss": 0.9114, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026780534335880084, "epoch": 0.83, "percentage": 27.57, "elapsed_time": "3 days, 3:44:31", "remaining_time": "8 days, 6:56:54"} +{"current_steps": 6870, "total_steps": 24897, "loss": 0.9933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026774161514671975, "epoch": 0.83, "percentage": 27.59, "elapsed_time": "3 days, 3:48:12", "remaining_time": "8 days, 6:54:34"} +{"current_steps": 6875, "total_steps": 24897, "loss": 1.0153, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002676778315215245, "epoch": 0.83, "percentage": 27.61, "elapsed_time": "3 days, 3:51:53", "remaining_time": "8 days, 6:52:15"} +{"current_steps": 6880, "total_steps": 24897, "loss": 0.8656, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026761399251323375, "epoch": 0.83, "percentage": 27.63, "elapsed_time": "3 days, 3:55:34", "remaining_time": "8 days, 6:49:55"} +{"current_steps": 6885, "total_steps": 24897, "loss": 0.9499, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002675500981518923, "epoch": 0.83, "percentage": 27.65, "elapsed_time": "3 days, 3:59:15", "remaining_time": "8 days, 6:47:35"} +{"current_steps": 6890, "total_steps": 24897, "loss": 1.0097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002674861484675709, "epoch": 0.83, "percentage": 27.67, "elapsed_time": "3 days, 4:02:56", "remaining_time": "8 days, 6:45:14"} +{"current_steps": 6895, "total_steps": 24897, "loss": 0.8877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002674221434903665, "epoch": 0.83, "percentage": 27.69, "elapsed_time": "3 days, 4:06:38", "remaining_time": "8 days, 6:42:57"} +{"current_steps": 6900, "total_steps": 24897, "loss": 0.987, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002673580832504019, "epoch": 0.83, "percentage": 27.71, "elapsed_time": "3 days, 4:10:19", "remaining_time": "8 days, 6:40:37"} +{"current_steps": 6905, "total_steps": 24897, "loss": 0.9849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026729396777782597, "epoch": 0.83, "percentage": 27.73, "elapsed_time": "3 days, 4:14:04", "remaining_time": "8 days, 6:38:24"} +{"current_steps": 6910, "total_steps": 24897, "loss": 0.9106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002672297971028136, "epoch": 0.83, "percentage": 27.75, "elapsed_time": "3 days, 4:17:46", "remaining_time": "8 days, 6:36:07"} +{"current_steps": 6915, "total_steps": 24897, "loss": 1.0239, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002671655712555656, "epoch": 0.83, "percentage": 27.77, "elapsed_time": "3 days, 4:21:27", "remaining_time": "8 days, 6:33:47"} +{"current_steps": 6920, "total_steps": 24897, "loss": 0.994, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002671012902663089, "epoch": 0.83, "percentage": 27.79, "elapsed_time": "3 days, 4:25:08", "remaining_time": "8 days, 6:31:25"} +{"current_steps": 6925, "total_steps": 24897, "loss": 0.9117, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002670369541652961, "epoch": 0.83, "percentage": 27.81, "elapsed_time": "3 days, 4:28:49", "remaining_time": "8 days, 6:29:04"} +{"current_steps": 6930, "total_steps": 24897, "loss": 0.9071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000266972562982806, "epoch": 0.83, "percentage": 27.83, "elapsed_time": "3 days, 4:32:30", "remaining_time": "8 days, 6:26:42"} +{"current_steps": 6935, "total_steps": 24897, "loss": 0.9641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026690811674914323, "epoch": 0.84, "percentage": 27.85, "elapsed_time": "3 days, 4:36:11", "remaining_time": "8 days, 6:24:21"} +{"current_steps": 6940, "total_steps": 24897, "loss": 1.061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002668436154946383, "epoch": 0.84, "percentage": 27.87, "elapsed_time": "3 days, 4:39:51", "remaining_time": "8 days, 6:21:58"} +{"current_steps": 6945, "total_steps": 24897, "loss": 1.0148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002667790592496477, "epoch": 0.84, "percentage": 27.89, "elapsed_time": "3 days, 4:43:33", "remaining_time": "8 days, 6:19:38"} +{"current_steps": 6950, "total_steps": 24897, "loss": 0.9417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026671444804455375, "epoch": 0.84, "percentage": 27.92, "elapsed_time": "3 days, 4:47:15", "remaining_time": "8 days, 6:17:18"} +{"current_steps": 6955, "total_steps": 24897, "loss": 0.8497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002666497819097645, "epoch": 0.84, "percentage": 27.94, "elapsed_time": "3 days, 4:50:55", "remaining_time": "8 days, 6:14:56"} +{"current_steps": 6960, "total_steps": 24897, "loss": 0.884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002665850608757141, "epoch": 0.84, "percentage": 27.96, "elapsed_time": "3 days, 4:54:36", "remaining_time": "8 days, 6:12:34"} +{"current_steps": 6965, "total_steps": 24897, "loss": 0.9287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002665202849728624, "epoch": 0.84, "percentage": 27.98, "elapsed_time": "3 days, 4:58:18", "remaining_time": "8 days, 6:10:13"} +{"current_steps": 6970, "total_steps": 24897, "loss": 0.9385, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000266455454231695, "epoch": 0.84, "percentage": 28.0, "elapsed_time": "3 days, 5:01:58", "remaining_time": "8 days, 6:07:50"} +{"current_steps": 6975, "total_steps": 24897, "loss": 0.9468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002663905686827235, "epoch": 0.84, "percentage": 28.02, "elapsed_time": "3 days, 5:05:39", "remaining_time": "8 days, 6:05:28"} +{"current_steps": 6980, "total_steps": 24897, "loss": 0.8921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002663256283564852, "epoch": 0.84, "percentage": 28.04, "elapsed_time": "3 days, 5:09:20", "remaining_time": "8 days, 6:03:05"} +{"current_steps": 6985, "total_steps": 24897, "loss": 0.9014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026626063328354316, "epoch": 0.84, "percentage": 28.06, "elapsed_time": "3 days, 5:13:01", "remaining_time": "8 days, 6:00:43"} +{"current_steps": 6990, "total_steps": 24897, "loss": 1.0034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002661955834944861, "epoch": 0.84, "percentage": 28.08, "elapsed_time": "3 days, 5:16:43", "remaining_time": "8 days, 5:58:21"} +{"current_steps": 6995, "total_steps": 24897, "loss": 1.0317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002661304790199288, "epoch": 0.84, "percentage": 28.1, "elapsed_time": "3 days, 5:20:24", "remaining_time": "8 days, 5:55:59"} +{"current_steps": 7000, "total_steps": 24897, "loss": 0.9128, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002660653198905115, "epoch": 0.84, "percentage": 28.12, "elapsed_time": "3 days, 5:24:05", "remaining_time": "8 days, 5:53:36"} +{"current_steps": 7005, "total_steps": 24897, "loss": 0.9521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026600010613690023, "epoch": 0.84, "percentage": 28.14, "elapsed_time": "3 days, 5:27:48", "remaining_time": "8 days, 5:51:19"} +{"current_steps": 7010, "total_steps": 24897, "loss": 0.9456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026593483778978677, "epoch": 0.84, "percentage": 28.16, "elapsed_time": "3 days, 5:31:30", "remaining_time": "8 days, 5:48:57"} +{"current_steps": 7015, "total_steps": 24897, "loss": 0.9558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002658695148798886, "epoch": 0.85, "percentage": 28.18, "elapsed_time": "3 days, 5:35:11", "remaining_time": "8 days, 5:46:34"} +{"current_steps": 7020, "total_steps": 24897, "loss": 0.914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026580413743794874, "epoch": 0.85, "percentage": 28.2, "elapsed_time": "3 days, 5:38:52", "remaining_time": "8 days, 5:44:11"} +{"current_steps": 7025, "total_steps": 24897, "loss": 0.9285, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002657387054947361, "epoch": 0.85, "percentage": 28.22, "elapsed_time": "3 days, 5:42:33", "remaining_time": "8 days, 5:41:48"} +{"current_steps": 7030, "total_steps": 24897, "loss": 0.9537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002656732190810451, "epoch": 0.85, "percentage": 28.24, "elapsed_time": "3 days, 5:46:14", "remaining_time": "8 days, 5:39:24"} +{"current_steps": 7035, "total_steps": 24897, "loss": 0.8938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002656076782276958, "epoch": 0.85, "percentage": 28.26, "elapsed_time": "3 days, 5:49:55", "remaining_time": "8 days, 5:37:01"} +{"current_steps": 7040, "total_steps": 24897, "loss": 0.8486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000265542082965534, "epoch": 0.85, "percentage": 28.28, "elapsed_time": "3 days, 5:53:36", "remaining_time": "8 days, 5:34:37"} +{"current_steps": 7045, "total_steps": 24897, "loss": 0.98, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026547643332543077, "epoch": 0.85, "percentage": 28.3, "elapsed_time": "3 days, 5:57:17", "remaining_time": "8 days, 5:32:14"} +{"current_steps": 7050, "total_steps": 24897, "loss": 0.9002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002654107293382833, "epoch": 0.85, "percentage": 28.32, "elapsed_time": "3 days, 6:00:58", "remaining_time": "8 days, 5:29:50"} +{"current_steps": 7055, "total_steps": 24897, "loss": 0.9397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026534497103501383, "epoch": 0.85, "percentage": 28.34, "elapsed_time": "3 days, 6:04:39", "remaining_time": "8 days, 5:27:27"} +{"current_steps": 7060, "total_steps": 24897, "loss": 0.9606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002652791584465706, "epoch": 0.85, "percentage": 28.36, "elapsed_time": "3 days, 6:08:20", "remaining_time": "8 days, 5:25:03"} +{"current_steps": 7065, "total_steps": 24897, "loss": 0.9967, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000265213291603927, "epoch": 0.85, "percentage": 28.38, "elapsed_time": "3 days, 6:12:02", "remaining_time": "8 days, 5:22:41"} +{"current_steps": 7070, "total_steps": 24897, "loss": 0.9985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026514737053808234, "epoch": 0.85, "percentage": 28.4, "elapsed_time": "3 days, 6:15:43", "remaining_time": "8 days, 5:20:16"} +{"current_steps": 7075, "total_steps": 24897, "loss": 0.8892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002650813952800611, "epoch": 0.85, "percentage": 28.42, "elapsed_time": "3 days, 6:19:25", "remaining_time": "8 days, 5:17:53"} +{"current_steps": 7080, "total_steps": 24897, "loss": 0.9211, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026501536586091357, "epoch": 0.85, "percentage": 28.44, "elapsed_time": "3 days, 6:23:06", "remaining_time": "8 days, 5:15:29"} +{"current_steps": 7085, "total_steps": 24897, "loss": 0.8601, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002649492823117153, "epoch": 0.85, "percentage": 28.46, "elapsed_time": "3 days, 6:26:47", "remaining_time": "8 days, 5:13:05"} +{"current_steps": 7090, "total_steps": 24897, "loss": 0.9275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002648831446635674, "epoch": 0.85, "percentage": 28.48, "elapsed_time": "3 days, 6:30:29", "remaining_time": "8 days, 5:10:41"} +{"current_steps": 7095, "total_steps": 24897, "loss": 1.0424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002648169529475965, "epoch": 0.85, "percentage": 28.5, "elapsed_time": "3 days, 6:34:10", "remaining_time": "8 days, 5:08:17"} +{"current_steps": 7100, "total_steps": 24897, "loss": 0.874, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002647507071949546, "epoch": 0.86, "percentage": 28.52, "elapsed_time": "3 days, 6:37:51", "remaining_time": "8 days, 5:05:52"} +{"current_steps": 7105, "total_steps": 24897, "loss": 0.9876, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026468440743681915, "epoch": 0.86, "percentage": 28.54, "elapsed_time": "3 days, 6:41:36", "remaining_time": "8 days, 5:03:37"} +{"current_steps": 7110, "total_steps": 24897, "loss": 0.8863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000264618053704393, "epoch": 0.86, "percentage": 28.56, "elapsed_time": "3 days, 6:45:17", "remaining_time": "8 days, 5:01:13"} +{"current_steps": 7115, "total_steps": 24897, "loss": 1.0307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002645516460289044, "epoch": 0.86, "percentage": 28.58, "elapsed_time": "3 days, 6:48:59", "remaining_time": "8 days, 4:58:48"} +{"current_steps": 7120, "total_steps": 24897, "loss": 0.8876, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000264485184441607, "epoch": 0.86, "percentage": 28.6, "elapsed_time": "3 days, 6:52:40", "remaining_time": "8 days, 4:56:23"} +{"current_steps": 7125, "total_steps": 24897, "loss": 0.9526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026441866897378, "epoch": 0.86, "percentage": 28.62, "elapsed_time": "3 days, 6:56:21", "remaining_time": "8 days, 4:53:58"} +{"current_steps": 7130, "total_steps": 24897, "loss": 0.9624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026435209965672756, "epoch": 0.86, "percentage": 28.64, "elapsed_time": "3 days, 7:00:02", "remaining_time": "8 days, 4:51:33"} +{"current_steps": 7135, "total_steps": 24897, "loss": 0.9241, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002642854765217795, "epoch": 0.86, "percentage": 28.66, "elapsed_time": "3 days, 7:03:44", "remaining_time": "8 days, 4:49:10"} +{"current_steps": 7140, "total_steps": 24897, "loss": 0.9452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026421879960029096, "epoch": 0.86, "percentage": 28.68, "elapsed_time": "3 days, 7:07:26", "remaining_time": "8 days, 4:46:47"} +{"current_steps": 7145, "total_steps": 24897, "loss": 0.9007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026415206892364216, "epoch": 0.86, "percentage": 28.7, "elapsed_time": "3 days, 7:11:08", "remaining_time": "8 days, 4:44:23"} +{"current_steps": 7150, "total_steps": 24897, "loss": 0.9266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026408528452323885, "epoch": 0.86, "percentage": 28.72, "elapsed_time": "3 days, 7:14:49", "remaining_time": "8 days, 4:41:57"} +{"current_steps": 7155, "total_steps": 24897, "loss": 0.9023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000264018446430512, "epoch": 0.86, "percentage": 28.74, "elapsed_time": "3 days, 7:18:30", "remaining_time": "8 days, 4:39:29"} +{"current_steps": 7160, "total_steps": 24897, "loss": 0.9053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002639515546769179, "epoch": 0.86, "percentage": 28.76, "elapsed_time": "3 days, 7:22:11", "remaining_time": "8 days, 4:37:03"} +{"current_steps": 7165, "total_steps": 24897, "loss": 0.8916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002638846092939379, "epoch": 0.86, "percentage": 28.78, "elapsed_time": "3 days, 7:25:52", "remaining_time": "8 days, 4:34:36"} +{"current_steps": 7170, "total_steps": 24897, "loss": 0.968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026381761031307873, "epoch": 0.86, "percentage": 28.8, "elapsed_time": "3 days, 7:29:33", "remaining_time": "8 days, 4:32:11"} +{"current_steps": 7175, "total_steps": 24897, "loss": 0.9669, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002637505577658725, "epoch": 0.86, "percentage": 28.82, "elapsed_time": "3 days, 7:33:14", "remaining_time": "8 days, 4:29:44"} +{"current_steps": 7180, "total_steps": 24897, "loss": 0.9586, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002636834516838761, "epoch": 0.87, "percentage": 28.84, "elapsed_time": "3 days, 7:36:56", "remaining_time": "8 days, 4:27:19"} +{"current_steps": 7185, "total_steps": 24897, "loss": 0.9392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002636162920986721, "epoch": 0.87, "percentage": 28.86, "elapsed_time": "3 days, 7:40:37", "remaining_time": "8 days, 4:24:54"} +{"current_steps": 7190, "total_steps": 24897, "loss": 0.942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026354907904186796, "epoch": 0.87, "percentage": 28.88, "elapsed_time": "3 days, 7:44:18", "remaining_time": "8 days, 4:22:26"} +{"current_steps": 7195, "total_steps": 24897, "loss": 0.9375, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026348181254509635, "epoch": 0.87, "percentage": 28.9, "elapsed_time": "3 days, 7:48:00", "remaining_time": "8 days, 4:20:00"} +{"current_steps": 7200, "total_steps": 24897, "loss": 0.8665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026341449264001516, "epoch": 0.87, "percentage": 28.92, "elapsed_time": "3 days, 7:51:41", "remaining_time": "8 days, 4:17:35"} +{"current_steps": 7205, "total_steps": 24897, "loss": 0.8609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026334711935830735, "epoch": 0.87, "percentage": 28.94, "elapsed_time": "3 days, 7:55:26", "remaining_time": "8 days, 4:15:17"} +{"current_steps": 7210, "total_steps": 24897, "loss": 0.9312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026327969273168104, "epoch": 0.87, "percentage": 28.96, "elapsed_time": "3 days, 7:59:08", "remaining_time": "8 days, 4:12:51"} +{"current_steps": 7215, "total_steps": 24897, "loss": 0.7982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026321221279186944, "epoch": 0.87, "percentage": 28.98, "elapsed_time": "3 days, 8:02:49", "remaining_time": "8 days, 4:10:24"} +{"current_steps": 7220, "total_steps": 24897, "loss": 0.9479, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002631446795706308, "epoch": 0.87, "percentage": 29.0, "elapsed_time": "3 days, 8:06:30", "remaining_time": "8 days, 4:07:57"} +{"current_steps": 7225, "total_steps": 24897, "loss": 0.9041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002630770930997486, "epoch": 0.87, "percentage": 29.02, "elapsed_time": "3 days, 8:10:11", "remaining_time": "8 days, 4:05:29"} +{"current_steps": 7230, "total_steps": 24897, "loss": 0.9042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026300945341103113, "epoch": 0.87, "percentage": 29.04, "elapsed_time": "3 days, 8:13:52", "remaining_time": "8 days, 4:03:02"} +{"current_steps": 7235, "total_steps": 24897, "loss": 0.91, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000262941760536312, "epoch": 0.87, "percentage": 29.06, "elapsed_time": "3 days, 8:17:34", "remaining_time": "8 days, 4:00:35"} +{"current_steps": 7240, "total_steps": 24897, "loss": 0.8517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002628740145074497, "epoch": 0.87, "percentage": 29.08, "elapsed_time": "3 days, 8:21:15", "remaining_time": "8 days, 3:58:08"} +{"current_steps": 7245, "total_steps": 24897, "loss": 0.9417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002628062153563277, "epoch": 0.87, "percentage": 29.1, "elapsed_time": "3 days, 8:24:56", "remaining_time": "8 days, 3:55:41"} +{"current_steps": 7250, "total_steps": 24897, "loss": 0.9912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002627383631148546, "epoch": 0.87, "percentage": 29.12, "elapsed_time": "3 days, 8:28:37", "remaining_time": "8 days, 3:53:13"} +{"current_steps": 7255, "total_steps": 24897, "loss": 0.8963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026267045781496384, "epoch": 0.87, "percentage": 29.14, "elapsed_time": "3 days, 8:32:19", "remaining_time": "8 days, 3:50:46"} +{"current_steps": 7260, "total_steps": 24897, "loss": 0.9598, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026260249948861406, "epoch": 0.87, "percentage": 29.16, "elapsed_time": "3 days, 8:36:01", "remaining_time": "8 days, 3:48:19"} +{"current_steps": 7265, "total_steps": 24897, "loss": 0.9216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002625344881677885, "epoch": 0.88, "percentage": 29.18, "elapsed_time": "3 days, 8:39:42", "remaining_time": "8 days, 3:45:52"} +{"current_steps": 7270, "total_steps": 24897, "loss": 0.8921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026246642388449575, "epoch": 0.88, "percentage": 29.2, "elapsed_time": "3 days, 8:43:23", "remaining_time": "8 days, 3:43:24"} +{"current_steps": 7275, "total_steps": 24897, "loss": 1.0191, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026239830667076897, "epoch": 0.88, "percentage": 29.22, "elapsed_time": "3 days, 8:47:05", "remaining_time": "8 days, 3:40:57"} +{"current_steps": 7280, "total_steps": 24897, "loss": 0.9563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026233013655866646, "epoch": 0.88, "percentage": 29.24, "elapsed_time": "3 days, 8:50:46", "remaining_time": "8 days, 3:38:29"} +{"current_steps": 7285, "total_steps": 24897, "loss": 0.974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002622619135802713, "epoch": 0.88, "percentage": 29.26, "elapsed_time": "3 days, 8:54:29", "remaining_time": "8 days, 3:36:03"} +{"current_steps": 7290, "total_steps": 24897, "loss": 0.9563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026219363776769155, "epoch": 0.88, "percentage": 29.28, "elapsed_time": "3 days, 8:58:10", "remaining_time": "8 days, 3:33:35"} +{"current_steps": 7295, "total_steps": 24897, "loss": 0.9788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026212530915306, "epoch": 0.88, "percentage": 29.3, "elapsed_time": "3 days, 9:01:51", "remaining_time": "8 days, 3:31:06"} +{"current_steps": 7300, "total_steps": 24897, "loss": 0.9533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002620569277685344, "epoch": 0.88, "percentage": 29.32, "elapsed_time": "3 days, 9:05:33", "remaining_time": "8 days, 3:28:39"} +{"current_steps": 7305, "total_steps": 24897, "loss": 0.9253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026198849364629723, "epoch": 0.88, "percentage": 29.34, "elapsed_time": "3 days, 9:09:18", "remaining_time": "8 days, 3:26:19"} +{"current_steps": 7310, "total_steps": 24897, "loss": 0.9328, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026192000681855604, "epoch": 0.88, "percentage": 29.36, "elapsed_time": "3 days, 9:12:59", "remaining_time": "8 days, 3:23:50"} +{"current_steps": 7315, "total_steps": 24897, "loss": 0.9173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026185146731754285, "epoch": 0.88, "percentage": 29.38, "elapsed_time": "3 days, 9:16:41", "remaining_time": "8 days, 3:21:22"} +{"current_steps": 7320, "total_steps": 24897, "loss": 0.9277, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026178287517551464, "epoch": 0.88, "percentage": 29.4, "elapsed_time": "3 days, 9:20:21", "remaining_time": "8 days, 3:18:52"} +{"current_steps": 7325, "total_steps": 24897, "loss": 0.9311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002617142304247532, "epoch": 0.88, "percentage": 29.42, "elapsed_time": "3 days, 9:24:03", "remaining_time": "8 days, 3:16:23"} +{"current_steps": 7330, "total_steps": 24897, "loss": 0.9854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026164553309756497, "epoch": 0.88, "percentage": 29.44, "elapsed_time": "3 days, 9:27:44", "remaining_time": "8 days, 3:13:54"} +{"current_steps": 7335, "total_steps": 24897, "loss": 0.9295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026157678322628127, "epoch": 0.88, "percentage": 29.46, "elapsed_time": "3 days, 9:31:24", "remaining_time": "8 days, 3:11:23"} +{"current_steps": 7340, "total_steps": 24897, "loss": 0.9045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026150798084325803, "epoch": 0.88, "percentage": 29.48, "elapsed_time": "3 days, 9:35:06", "remaining_time": "8 days, 3:08:54"} +{"current_steps": 7345, "total_steps": 24897, "loss": 0.9756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026143912598087593, "epoch": 0.88, "percentage": 29.5, "elapsed_time": "3 days, 9:38:48", "remaining_time": "8 days, 3:06:27"} +{"current_steps": 7350, "total_steps": 24897, "loss": 0.8535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026137021867154043, "epoch": 0.89, "percentage": 29.52, "elapsed_time": "3 days, 9:42:29", "remaining_time": "8 days, 3:03:57"} +{"current_steps": 7355, "total_steps": 24897, "loss": 0.8852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026130125894768146, "epoch": 0.89, "percentage": 29.54, "elapsed_time": "3 days, 9:46:10", "remaining_time": "8 days, 3:01:27"} +{"current_steps": 7360, "total_steps": 24897, "loss": 0.929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002612322468417538, "epoch": 0.89, "percentage": 29.56, "elapsed_time": "3 days, 9:49:52", "remaining_time": "8 days, 2:58:58"} +{"current_steps": 7365, "total_steps": 24897, "loss": 1.0121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026116318238623694, "epoch": 0.89, "percentage": 29.58, "elapsed_time": "3 days, 9:53:33", "remaining_time": "8 days, 2:56:29"} +{"current_steps": 7370, "total_steps": 24897, "loss": 0.9132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002610940656136348, "epoch": 0.89, "percentage": 29.6, "elapsed_time": "3 days, 9:57:15", "remaining_time": "8 days, 2:53:59"} +{"current_steps": 7375, "total_steps": 24897, "loss": 0.9956, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002610248965564761, "epoch": 0.89, "percentage": 29.62, "elapsed_time": "3 days, 10:00:56", "remaining_time": "8 days, 2:51:30"} +{"current_steps": 7380, "total_steps": 24897, "loss": 0.904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000260955675247314, "epoch": 0.89, "percentage": 29.64, "elapsed_time": "3 days, 10:04:37", "remaining_time": "8 days, 2:48:58"} +{"current_steps": 7385, "total_steps": 24897, "loss": 0.8962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002608864017187264, "epoch": 0.89, "percentage": 29.66, "elapsed_time": "3 days, 10:08:18", "remaining_time": "8 days, 2:46:28"} +{"current_steps": 7390, "total_steps": 24897, "loss": 0.8767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002608170760033158, "epoch": 0.89, "percentage": 29.68, "elapsed_time": "3 days, 10:12:00", "remaining_time": "8 days, 2:43:59"} +{"current_steps": 7395, "total_steps": 24897, "loss": 0.9574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002607476981337091, "epoch": 0.89, "percentage": 29.7, "elapsed_time": "3 days, 10:15:42", "remaining_time": "8 days, 2:41:30"} +{"current_steps": 7400, "total_steps": 24897, "loss": 0.9463, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026067826814255777, "epoch": 0.89, "percentage": 29.72, "elapsed_time": "3 days, 10:19:24", "remaining_time": "8 days, 2:39:01"} +{"current_steps": 7405, "total_steps": 24897, "loss": 0.9372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000260608786062538, "epoch": 0.89, "percentage": 29.74, "elapsed_time": "3 days, 10:23:12", "remaining_time": "8 days, 2:36:47"} +{"current_steps": 7410, "total_steps": 24897, "loss": 0.9589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002605392519263503, "epoch": 0.89, "percentage": 29.76, "elapsed_time": "3 days, 10:26:54", "remaining_time": "8 days, 2:34:18"} +{"current_steps": 7415, "total_steps": 24897, "loss": 0.9673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002604696657667197, "epoch": 0.89, "percentage": 29.78, "elapsed_time": "3 days, 10:30:36", "remaining_time": "8 days, 2:31:48"} +{"current_steps": 7420, "total_steps": 24897, "loss": 0.8479, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026040002761639586, "epoch": 0.89, "percentage": 29.8, "elapsed_time": "3 days, 10:34:17", "remaining_time": "8 days, 2:29:18"} +{"current_steps": 7425, "total_steps": 24897, "loss": 0.9117, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002603303375081527, "epoch": 0.89, "percentage": 29.82, "elapsed_time": "3 days, 10:37:59", "remaining_time": "8 days, 2:26:47"} +{"current_steps": 7430, "total_steps": 24897, "loss": 0.9479, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002602605954747888, "epoch": 0.9, "percentage": 29.84, "elapsed_time": "3 days, 10:41:40", "remaining_time": "8 days, 2:24:17"} +{"current_steps": 7435, "total_steps": 24897, "loss": 0.96, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000260190801549127, "epoch": 0.9, "percentage": 29.86, "elapsed_time": "3 days, 10:45:21", "remaining_time": "8 days, 2:21:45"} +{"current_steps": 7440, "total_steps": 24897, "loss": 0.8778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002601209557640147, "epoch": 0.9, "percentage": 29.88, "elapsed_time": "3 days, 10:49:03", "remaining_time": "8 days, 2:19:14"} +{"current_steps": 7445, "total_steps": 24897, "loss": 0.9513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00026005105815232364, "epoch": 0.9, "percentage": 29.9, "elapsed_time": "3 days, 10:52:44", "remaining_time": "8 days, 2:16:44"} +{"current_steps": 7450, "total_steps": 24897, "loss": 1.0321, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002599811087469498, "epoch": 0.9, "percentage": 29.92, "elapsed_time": "3 days, 10:56:26", "remaining_time": "8 days, 2:14:13"} +{"current_steps": 7455, "total_steps": 24897, "loss": 0.9039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002599111075808139, "epoch": 0.9, "percentage": 29.94, "elapsed_time": "3 days, 11:00:08", "remaining_time": "8 days, 2:11:43"} +{"current_steps": 7460, "total_steps": 24897, "loss": 0.9834, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002598410546868608, "epoch": 0.9, "percentage": 29.96, "elapsed_time": "3 days, 11:03:50", "remaining_time": "8 days, 2:09:12"} +{"current_steps": 7465, "total_steps": 24897, "loss": 0.9394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025977095009805957, "epoch": 0.9, "percentage": 29.98, "elapsed_time": "3 days, 11:07:32", "remaining_time": "8 days, 2:06:42"} +{"current_steps": 7470, "total_steps": 24897, "loss": 0.8757, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002597007938474039, "epoch": 0.9, "percentage": 30.0, "elapsed_time": "3 days, 11:11:13", "remaining_time": "8 days, 2:04:10"} +{"current_steps": 7475, "total_steps": 24897, "loss": 0.8823, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025963058596791157, "epoch": 0.9, "percentage": 30.02, "elapsed_time": "3 days, 11:14:54", "remaining_time": "8 days, 2:01:39"} +{"current_steps": 7480, "total_steps": 24897, "loss": 0.9434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025956032649262475, "epoch": 0.9, "percentage": 30.04, "elapsed_time": "3 days, 11:18:37", "remaining_time": "8 days, 1:59:09"} +{"current_steps": 7485, "total_steps": 24897, "loss": 0.9431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002594900154546099, "epoch": 0.9, "percentage": 30.06, "elapsed_time": "3 days, 11:22:19", "remaining_time": "8 days, 1:56:40"} +{"current_steps": 7490, "total_steps": 24897, "loss": 0.8625, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025941965288695776, "epoch": 0.9, "percentage": 30.08, "elapsed_time": "3 days, 11:26:00", "remaining_time": "8 days, 1:54:07"} +{"current_steps": 7495, "total_steps": 24897, "loss": 0.8757, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025934923882278325, "epoch": 0.9, "percentage": 30.1, "elapsed_time": "3 days, 11:29:42", "remaining_time": "8 days, 1:51:37"} +{"current_steps": 7500, "total_steps": 24897, "loss": 0.9952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025927877329522554, "epoch": 0.9, "percentage": 30.12, "elapsed_time": "3 days, 11:33:24", "remaining_time": "8 days, 1:49:05"} +{"current_steps": 7505, "total_steps": 24897, "loss": 1.0034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025920825633744815, "epoch": 0.9, "percentage": 30.14, "elapsed_time": "3 days, 11:37:12", "remaining_time": "8 days, 1:46:49"} +{"current_steps": 7510, "total_steps": 24897, "loss": 0.9525, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002591376879826386, "epoch": 0.9, "percentage": 30.16, "elapsed_time": "3 days, 11:40:55", "remaining_time": "8 days, 1:44:20"} +{"current_steps": 7515, "total_steps": 24897, "loss": 0.9325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025906706826400863, "epoch": 0.91, "percentage": 30.18, "elapsed_time": "3 days, 11:44:37", "remaining_time": "8 days, 1:41:48"} +{"current_steps": 7520, "total_steps": 24897, "loss": 0.9086, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002589963972147945, "epoch": 0.91, "percentage": 30.2, "elapsed_time": "3 days, 11:48:18", "remaining_time": "8 days, 1:39:16"} +{"current_steps": 7525, "total_steps": 24897, "loss": 0.9848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000258925674868256, "epoch": 0.91, "percentage": 30.22, "elapsed_time": "3 days, 11:52:00", "remaining_time": "8 days, 1:36:44"} +{"current_steps": 7530, "total_steps": 24897, "loss": 0.9753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025885490125767774, "epoch": 0.91, "percentage": 30.24, "elapsed_time": "3 days, 11:55:41", "remaining_time": "8 days, 1:34:11"} +{"current_steps": 7535, "total_steps": 24897, "loss": 0.9679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025878407641636794, "epoch": 0.91, "percentage": 30.26, "elapsed_time": "3 days, 11:59:23", "remaining_time": "8 days, 1:31:39"} +{"current_steps": 7540, "total_steps": 24897, "loss": 0.8951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025871320037765917, "epoch": 0.91, "percentage": 30.28, "elapsed_time": "3 days, 12:03:04", "remaining_time": "8 days, 1:29:06"} +{"current_steps": 7545, "total_steps": 24897, "loss": 0.9302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002586422731749081, "epoch": 0.91, "percentage": 30.3, "elapsed_time": "3 days, 12:06:46", "remaining_time": "8 days, 1:26:33"} +{"current_steps": 7550, "total_steps": 24897, "loss": 0.9291, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002585712948414953, "epoch": 0.91, "percentage": 30.32, "elapsed_time": "3 days, 12:10:27", "remaining_time": "8 days, 1:24:01"} +{"current_steps": 7555, "total_steps": 24897, "loss": 0.9287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002585002654108257, "epoch": 0.91, "percentage": 30.35, "elapsed_time": "3 days, 12:14:08", "remaining_time": "8 days, 1:21:27"} +{"current_steps": 7560, "total_steps": 24897, "loss": 0.9384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002584291849163279, "epoch": 0.91, "percentage": 30.37, "elapsed_time": "3 days, 12:17:50", "remaining_time": "8 days, 1:18:55"} +{"current_steps": 7565, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002583580533914549, "epoch": 0.91, "percentage": 30.39, "elapsed_time": "3 days, 12:21:32", "remaining_time": "8 days, 1:16:21"} +{"current_steps": 7570, "total_steps": 24897, "loss": 0.9764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025828687086968354, "epoch": 0.91, "percentage": 30.41, "elapsed_time": "3 days, 12:25:13", "remaining_time": "8 days, 1:13:48"} +{"current_steps": 7575, "total_steps": 24897, "loss": 0.9347, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025821563738451464, "epoch": 0.91, "percentage": 30.43, "elapsed_time": "3 days, 12:28:54", "remaining_time": "8 days, 1:11:15"} +{"current_steps": 7580, "total_steps": 24897, "loss": 0.9142, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025814435296947307, "epoch": 0.91, "percentage": 30.45, "elapsed_time": "3 days, 12:32:36", "remaining_time": "8 days, 1:08:42"} +{"current_steps": 7585, "total_steps": 24897, "loss": 0.9027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002580730176581076, "epoch": 0.91, "percentage": 30.47, "elapsed_time": "3 days, 12:36:18", "remaining_time": "8 days, 1:06:09"} +{"current_steps": 7590, "total_steps": 24897, "loss": 0.8038, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000258001631483991, "epoch": 0.91, "percentage": 30.49, "elapsed_time": "3 days, 12:39:59", "remaining_time": "8 days, 1:03:35"} +{"current_steps": 7595, "total_steps": 24897, "loss": 0.9889, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025793019448072007, "epoch": 0.92, "percentage": 30.51, "elapsed_time": "3 days, 12:43:40", "remaining_time": "8 days, 1:01:01"} +{"current_steps": 7600, "total_steps": 24897, "loss": 0.9264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002578587066819153, "epoch": 0.92, "percentage": 30.53, "elapsed_time": "3 days, 12:47:22", "remaining_time": "8 days, 0:58:27"} +{"current_steps": 7605, "total_steps": 24897, "loss": 0.9701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025778716812122136, "epoch": 0.92, "percentage": 30.55, "elapsed_time": "3 days, 12:51:10", "remaining_time": "8 days, 0:56:09"} +{"current_steps": 7610, "total_steps": 24897, "loss": 0.8935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025771557883230657, "epoch": 0.92, "percentage": 30.57, "elapsed_time": "3 days, 12:54:53", "remaining_time": "8 days, 0:53:38"} +{"current_steps": 7615, "total_steps": 24897, "loss": 0.9104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025764393884886324, "epoch": 0.92, "percentage": 30.59, "elapsed_time": "3 days, 12:58:34", "remaining_time": "8 days, 0:51:04"} +{"current_steps": 7620, "total_steps": 24897, "loss": 0.8872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025757224820460755, "epoch": 0.92, "percentage": 30.61, "elapsed_time": "3 days, 13:02:16", "remaining_time": "8 days, 0:48:29"} +{"current_steps": 7625, "total_steps": 24897, "loss": 0.9364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002575005069332795, "epoch": 0.92, "percentage": 30.63, "elapsed_time": "3 days, 13:05:57", "remaining_time": "8 days, 0:45:55"} +{"current_steps": 7630, "total_steps": 24897, "loss": 0.8766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025742871506864295, "epoch": 0.92, "percentage": 30.65, "elapsed_time": "3 days, 13:09:38", "remaining_time": "8 days, 0:43:19"} +{"current_steps": 7635, "total_steps": 24897, "loss": 0.9053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002573568726444854, "epoch": 0.92, "percentage": 30.67, "elapsed_time": "3 days, 13:13:18", "remaining_time": "8 days, 0:40:42"} +{"current_steps": 7640, "total_steps": 24897, "loss": 0.9933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002572849796946184, "epoch": 0.92, "percentage": 30.69, "elapsed_time": "3 days, 13:17:00", "remaining_time": "8 days, 0:38:08"} +{"current_steps": 7645, "total_steps": 24897, "loss": 0.9321, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025721303625287717, "epoch": 0.92, "percentage": 30.71, "elapsed_time": "3 days, 13:20:42", "remaining_time": "8 days, 0:35:34"} +{"current_steps": 7650, "total_steps": 24897, "loss": 0.861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025714104235312064, "epoch": 0.92, "percentage": 30.73, "elapsed_time": "3 days, 13:24:23", "remaining_time": "8 days, 0:32:59"} +{"current_steps": 7655, "total_steps": 24897, "loss": 0.9007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002570689980292315, "epoch": 0.92, "percentage": 30.75, "elapsed_time": "3 days, 13:28:06", "remaining_time": "8 days, 0:30:27"} +{"current_steps": 7660, "total_steps": 24897, "loss": 0.9936, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002569969033151163, "epoch": 0.92, "percentage": 30.77, "elapsed_time": "3 days, 13:31:47", "remaining_time": "8 days, 0:27:52"} +{"current_steps": 7665, "total_steps": 24897, "loss": 0.9124, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025692475824470504, "epoch": 0.92, "percentage": 30.79, "elapsed_time": "3 days, 13:35:28", "remaining_time": "8 days, 0:25:15"} +{"current_steps": 7670, "total_steps": 24897, "loss": 1.0014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002568525628519518, "epoch": 0.92, "percentage": 30.81, "elapsed_time": "3 days, 13:39:09", "remaining_time": "8 days, 0:22:40"} +{"current_steps": 7675, "total_steps": 24897, "loss": 0.8888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025678031717083394, "epoch": 0.92, "percentage": 30.83, "elapsed_time": "3 days, 13:42:50", "remaining_time": "8 days, 0:20:04"} +{"current_steps": 7680, "total_steps": 24897, "loss": 0.8517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002567080212353528, "epoch": 0.93, "percentage": 30.85, "elapsed_time": "3 days, 13:46:32", "remaining_time": "8 days, 0:17:29"} +{"current_steps": 7685, "total_steps": 24897, "loss": 0.9296, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025663567507953314, "epoch": 0.93, "percentage": 30.87, "elapsed_time": "3 days, 13:50:13", "remaining_time": "8 days, 0:14:53"} +{"current_steps": 7690, "total_steps": 24897, "loss": 1.0182, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002565632787374236, "epoch": 0.93, "percentage": 30.89, "elapsed_time": "3 days, 13:53:55", "remaining_time": "8 days, 0:12:18"} +{"current_steps": 7695, "total_steps": 24897, "loss": 0.9503, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025649083224309617, "epoch": 0.93, "percentage": 30.91, "elapsed_time": "3 days, 13:57:36", "remaining_time": "8 days, 0:09:42"} +{"current_steps": 7700, "total_steps": 24897, "loss": 0.903, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025641833563064666, "epoch": 0.93, "percentage": 30.93, "elapsed_time": "3 days, 14:01:18", "remaining_time": "8 days, 0:07:07"} +{"current_steps": 7705, "total_steps": 24897, "loss": 0.8951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025634578893419434, "epoch": 0.93, "percentage": 30.95, "elapsed_time": "3 days, 14:05:03", "remaining_time": "8 days, 0:04:40"} +{"current_steps": 7710, "total_steps": 24897, "loss": 0.9059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025627319218788215, "epoch": 0.93, "percentage": 30.97, "elapsed_time": "3 days, 14:08:45", "remaining_time": "8 days, 0:02:07"} +{"current_steps": 7715, "total_steps": 24897, "loss": 0.9195, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002562005454258765, "epoch": 0.93, "percentage": 30.99, "elapsed_time": "3 days, 14:12:27", "remaining_time": "7 days, 23:59:31"} +{"current_steps": 7720, "total_steps": 24897, "loss": 0.8901, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002561278486823673, "epoch": 0.93, "percentage": 31.01, "elapsed_time": "3 days, 14:16:08", "remaining_time": "7 days, 23:56:54"} +{"current_steps": 7725, "total_steps": 24897, "loss": 0.9548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025605510199156817, "epoch": 0.93, "percentage": 31.03, "elapsed_time": "3 days, 14:19:49", "remaining_time": "7 days, 23:54:16"} +{"current_steps": 7730, "total_steps": 24897, "loss": 0.8928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000255982305387716, "epoch": 0.93, "percentage": 31.05, "elapsed_time": "3 days, 14:23:29", "remaining_time": "7 days, 23:51:38"} +{"current_steps": 7735, "total_steps": 24897, "loss": 0.9098, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025590945890507146, "epoch": 0.93, "percentage": 31.07, "elapsed_time": "3 days, 14:27:11", "remaining_time": "7 days, 23:49:03"} +{"current_steps": 7740, "total_steps": 24897, "loss": 0.8707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025583656257791834, "epoch": 0.93, "percentage": 31.09, "elapsed_time": "3 days, 14:30:53", "remaining_time": "7 days, 23:46:27"} +{"current_steps": 7745, "total_steps": 24897, "loss": 0.8642, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002557636164405641, "epoch": 0.93, "percentage": 31.11, "elapsed_time": "3 days, 14:34:34", "remaining_time": "7 days, 23:43:52"} +{"current_steps": 7750, "total_steps": 24897, "loss": 0.9297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002556906205273398, "epoch": 0.93, "percentage": 31.13, "elapsed_time": "3 days, 14:38:16", "remaining_time": "7 days, 23:41:16"} +{"current_steps": 7755, "total_steps": 24897, "loss": 0.8665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025561757487259953, "epoch": 0.93, "percentage": 31.15, "elapsed_time": "3 days, 14:41:58", "remaining_time": "7 days, 23:38:41"} +{"current_steps": 7760, "total_steps": 24897, "loss": 0.8957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000255544479510721, "epoch": 0.93, "percentage": 31.17, "elapsed_time": "3 days, 14:45:40", "remaining_time": "7 days, 23:36:05"} +{"current_steps": 7765, "total_steps": 24897, "loss": 0.8395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002554713344761055, "epoch": 0.94, "percentage": 31.19, "elapsed_time": "3 days, 14:49:22", "remaining_time": "7 days, 23:33:29"} +{"current_steps": 7770, "total_steps": 24897, "loss": 0.9225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025539813980317733, "epoch": 0.94, "percentage": 31.21, "elapsed_time": "3 days, 14:53:04", "remaining_time": "7 days, 23:30:54"} +{"current_steps": 7775, "total_steps": 24897, "loss": 0.9975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025532489552638446, "epoch": 0.94, "percentage": 31.23, "elapsed_time": "3 days, 14:56:46", "remaining_time": "7 days, 23:28:17"} +{"current_steps": 7780, "total_steps": 24897, "loss": 0.9617, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000255251601680198, "epoch": 0.94, "percentage": 31.25, "elapsed_time": "3 days, 15:00:27", "remaining_time": "7 days, 23:25:41"} +{"current_steps": 7785, "total_steps": 24897, "loss": 0.9713, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025517825829911246, "epoch": 0.94, "percentage": 31.27, "elapsed_time": "3 days, 15:04:01", "remaining_time": "7 days, 23:22:47"} +{"current_steps": 7790, "total_steps": 24897, "loss": 0.984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002551048654176457, "epoch": 0.94, "percentage": 31.29, "elapsed_time": "3 days, 15:07:43", "remaining_time": "7 days, 23:20:10"} +{"current_steps": 7795, "total_steps": 24897, "loss": 0.9334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002550314230703389, "epoch": 0.94, "percentage": 31.31, "elapsed_time": "3 days, 15:11:24", "remaining_time": "7 days, 23:17:33"} +{"current_steps": 7800, "total_steps": 24897, "loss": 1.0343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002549579312917564, "epoch": 0.94, "percentage": 31.33, "elapsed_time": "3 days, 15:15:06", "remaining_time": "7 days, 23:14:56"} +{"current_steps": 7805, "total_steps": 24897, "loss": 0.8456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002548843901164859, "epoch": 0.94, "percentage": 31.35, "elapsed_time": "3 days, 15:18:51", "remaining_time": "7 days, 23:12:27"} +{"current_steps": 7810, "total_steps": 24897, "loss": 0.983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025481079957913826, "epoch": 0.94, "percentage": 31.37, "elapsed_time": "3 days, 15:22:33", "remaining_time": "7 days, 23:09:51"} +{"current_steps": 7815, "total_steps": 24897, "loss": 1.0003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002547371597143477, "epoch": 0.94, "percentage": 31.39, "elapsed_time": "3 days, 15:26:14", "remaining_time": "7 days, 23:07:12"} +{"current_steps": 7820, "total_steps": 24897, "loss": 0.9616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002546634705567716, "epoch": 0.94, "percentage": 31.41, "elapsed_time": "3 days, 15:29:55", "remaining_time": "7 days, 23:04:34"} +{"current_steps": 7825, "total_steps": 24897, "loss": 1.0201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002545897321410905, "epoch": 0.94, "percentage": 31.43, "elapsed_time": "3 days, 15:33:36", "remaining_time": "7 days, 23:01:55"} +{"current_steps": 7830, "total_steps": 24897, "loss": 0.997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025451594450200804, "epoch": 0.94, "percentage": 31.45, "elapsed_time": "3 days, 15:37:18", "remaining_time": "7 days, 22:59:18"} +{"current_steps": 7835, "total_steps": 24897, "loss": 0.9673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002544421076742513, "epoch": 0.94, "percentage": 31.47, "elapsed_time": "3 days, 15:40:59", "remaining_time": "7 days, 22:56:40"} +{"current_steps": 7840, "total_steps": 24897, "loss": 0.9775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025436822169257027, "epoch": 0.94, "percentage": 31.49, "elapsed_time": "3 days, 15:44:40", "remaining_time": "7 days, 22:54:01"} +{"current_steps": 7845, "total_steps": 24897, "loss": 0.7657, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025429428659173815, "epoch": 0.95, "percentage": 31.51, "elapsed_time": "3 days, 15:48:21", "remaining_time": "7 days, 22:51:21"} +{"current_steps": 7850, "total_steps": 24897, "loss": 0.9161, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025422030240655123, "epoch": 0.95, "percentage": 31.53, "elapsed_time": "3 days, 15:52:02", "remaining_time": "7 days, 22:48:42"} +{"current_steps": 7855, "total_steps": 24897, "loss": 0.9141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000254146269171829, "epoch": 0.95, "percentage": 31.55, "elapsed_time": "3 days, 15:55:43", "remaining_time": "7 days, 22:46:04"} +{"current_steps": 7860, "total_steps": 24897, "loss": 1.0136, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025407218692241384, "epoch": 0.95, "percentage": 31.57, "elapsed_time": "3 days, 15:59:24", "remaining_time": "7 days, 22:43:25"} +{"current_steps": 7865, "total_steps": 24897, "loss": 1.0097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025399805569317145, "epoch": 0.95, "percentage": 31.59, "elapsed_time": "3 days, 16:03:05", "remaining_time": "7 days, 22:40:46"} +{"current_steps": 7870, "total_steps": 24897, "loss": 0.8654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025392387551899034, "epoch": 0.95, "percentage": 31.61, "elapsed_time": "3 days, 16:06:47", "remaining_time": "7 days, 22:38:08"} +{"current_steps": 7875, "total_steps": 24897, "loss": 0.9325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002538496464347822, "epoch": 0.95, "percentage": 31.63, "elapsed_time": "3 days, 16:10:29", "remaining_time": "7 days, 22:35:31"} +{"current_steps": 7880, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002537753684754817, "epoch": 0.95, "percentage": 31.65, "elapsed_time": "3 days, 16:14:11", "remaining_time": "7 days, 22:32:54"} +{"current_steps": 7885, "total_steps": 24897, "loss": 0.9599, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025370104167604657, "epoch": 0.95, "percentage": 31.67, "elapsed_time": "3 days, 16:17:53", "remaining_time": "7 days, 22:30:16"} +{"current_steps": 7890, "total_steps": 24897, "loss": 0.8522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025362666607145744, "epoch": 0.95, "percentage": 31.69, "elapsed_time": "3 days, 16:21:34", "remaining_time": "7 days, 22:27:37"} +{"current_steps": 7895, "total_steps": 24897, "loss": 0.9354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025355224169671786, "epoch": 0.95, "percentage": 31.71, "elapsed_time": "3 days, 16:25:16", "remaining_time": "7 days, 22:24:59"} +{"current_steps": 7900, "total_steps": 24897, "loss": 0.9454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002534777685868545, "epoch": 0.95, "percentage": 31.73, "elapsed_time": "3 days, 16:28:58", "remaining_time": "7 days, 22:22:21"} +{"current_steps": 7905, "total_steps": 24897, "loss": 0.929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025340324677691685, "epoch": 0.95, "percentage": 31.75, "elapsed_time": "3 days, 16:32:44", "remaining_time": "7 days, 22:19:52"} +{"current_steps": 7910, "total_steps": 24897, "loss": 0.8953, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025332867630197735, "epoch": 0.95, "percentage": 31.77, "elapsed_time": "3 days, 16:36:26", "remaining_time": "7 days, 22:17:14"} +{"current_steps": 7915, "total_steps": 24897, "loss": 0.9731, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002532540571971313, "epoch": 0.95, "percentage": 31.79, "elapsed_time": "3 days, 16:40:08", "remaining_time": "7 days, 22:14:37"} +{"current_steps": 7920, "total_steps": 24897, "loss": 0.924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025317938949749705, "epoch": 0.95, "percentage": 31.81, "elapsed_time": "3 days, 16:43:50", "remaining_time": "7 days, 22:11:57"} +{"current_steps": 7925, "total_steps": 24897, "loss": 0.9835, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002531046732382156, "epoch": 0.95, "percentage": 31.83, "elapsed_time": "3 days, 16:47:24", "remaining_time": "7 days, 22:09:03"} +{"current_steps": 7930, "total_steps": 24897, "loss": 1.0531, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025302990845445087, "epoch": 0.96, "percentage": 31.85, "elapsed_time": "3 days, 16:51:03", "remaining_time": "7 days, 22:06:19"} +{"current_steps": 7935, "total_steps": 24897, "loss": 0.9466, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025295509518138975, "epoch": 0.96, "percentage": 31.87, "elapsed_time": "3 days, 16:54:43", "remaining_time": "7 days, 22:03:35"} +{"current_steps": 7940, "total_steps": 24897, "loss": 0.9589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025288023345424176, "epoch": 0.96, "percentage": 31.89, "elapsed_time": "3 days, 16:58:23", "remaining_time": "7 days, 22:00:53"} +{"current_steps": 7945, "total_steps": 24897, "loss": 1.0145, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025280532330823944, "epoch": 0.96, "percentage": 31.91, "elapsed_time": "3 days, 17:02:03", "remaining_time": "7 days, 21:58:11"} +{"current_steps": 7950, "total_steps": 24897, "loss": 1.0086, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025273036477863785, "epoch": 0.96, "percentage": 31.93, "elapsed_time": "3 days, 17:05:42", "remaining_time": "7 days, 21:55:26"} +{"current_steps": 7955, "total_steps": 24897, "loss": 0.9726, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025265535790071505, "epoch": 0.96, "percentage": 31.95, "elapsed_time": "3 days, 17:09:21", "remaining_time": "7 days, 21:52:41"} +{"current_steps": 7960, "total_steps": 24897, "loss": 0.8978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002525803027097717, "epoch": 0.96, "percentage": 31.97, "elapsed_time": "3 days, 17:12:59", "remaining_time": "7 days, 21:49:54"} +{"current_steps": 7965, "total_steps": 24897, "loss": 0.8716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002525051992411314, "epoch": 0.96, "percentage": 31.99, "elapsed_time": "3 days, 17:16:37", "remaining_time": "7 days, 21:47:07"} +{"current_steps": 7970, "total_steps": 24897, "loss": 0.8722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002524300475301402, "epoch": 0.96, "percentage": 32.01, "elapsed_time": "3 days, 17:20:16", "remaining_time": "7 days, 21:44:21"} +{"current_steps": 7975, "total_steps": 24897, "loss": 0.859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025235484761216697, "epoch": 0.96, "percentage": 32.03, "elapsed_time": "3 days, 17:23:53", "remaining_time": "7 days, 21:41:33"} +{"current_steps": 7980, "total_steps": 24897, "loss": 0.9029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025227959952260344, "epoch": 0.96, "percentage": 32.05, "elapsed_time": "3 days, 17:27:31", "remaining_time": "7 days, 21:38:44"} +{"current_steps": 7985, "total_steps": 24897, "loss": 0.9367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025220430329686377, "epoch": 0.96, "percentage": 32.07, "elapsed_time": "3 days, 17:31:08", "remaining_time": "7 days, 21:35:55"} +{"current_steps": 7990, "total_steps": 24897, "loss": 0.8961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002521289589703848, "epoch": 0.96, "percentage": 32.09, "elapsed_time": "3 days, 17:34:46", "remaining_time": "7 days, 21:33:07"} +{"current_steps": 7995, "total_steps": 24897, "loss": 0.8604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002520535665786262, "epoch": 0.96, "percentage": 32.11, "elapsed_time": "3 days, 17:38:23", "remaining_time": "7 days, 21:30:18"} +{"current_steps": 8000, "total_steps": 24897, "loss": 0.9031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025197812615707007, "epoch": 0.96, "percentage": 32.13, "elapsed_time": "3 days, 17:42:00", "remaining_time": "7 days, 21:27:28"} +{"current_steps": 8005, "total_steps": 24897, "loss": 0.8619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025190263774122113, "epoch": 0.96, "percentage": 32.15, "elapsed_time": "3 days, 17:45:43", "remaining_time": "7 days, 21:24:51"} +{"current_steps": 8010, "total_steps": 24897, "loss": 0.8672, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002518271013666068, "epoch": 0.97, "percentage": 32.17, "elapsed_time": "3 days, 17:49:20", "remaining_time": "7 days, 21:22:01"} +{"current_steps": 8015, "total_steps": 24897, "loss": 0.9955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002517515170687771, "epoch": 0.97, "percentage": 32.19, "elapsed_time": "3 days, 17:52:57", "remaining_time": "7 days, 21:19:11"} +{"current_steps": 8020, "total_steps": 24897, "loss": 0.8943, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002516758848833043, "epoch": 0.97, "percentage": 32.21, "elapsed_time": "3 days, 17:56:34", "remaining_time": "7 days, 21:16:21"} +{"current_steps": 8025, "total_steps": 24897, "loss": 0.9365, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002516002048457835, "epoch": 0.97, "percentage": 32.23, "elapsed_time": "3 days, 18:00:11", "remaining_time": "7 days, 21:13:30"} +{"current_steps": 8030, "total_steps": 24897, "loss": 0.8914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002515244769918323, "epoch": 0.97, "percentage": 32.25, "elapsed_time": "3 days, 18:03:48", "remaining_time": "7 days, 21:10:40"} +{"current_steps": 8035, "total_steps": 24897, "loss": 0.9454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025144870135709077, "epoch": 0.97, "percentage": 32.27, "elapsed_time": "3 days, 18:07:24", "remaining_time": "7 days, 21:07:49"} +{"current_steps": 8040, "total_steps": 24897, "loss": 0.9629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002513728779772213, "epoch": 0.97, "percentage": 32.29, "elapsed_time": "3 days, 18:11:00", "remaining_time": "7 days, 21:04:56"} +{"current_steps": 8045, "total_steps": 24897, "loss": 0.9343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025129700688790896, "epoch": 0.97, "percentage": 32.31, "elapsed_time": "3 days, 18:14:36", "remaining_time": "7 days, 21:02:05"} +{"current_steps": 8050, "total_steps": 24897, "loss": 0.9349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025122108812486124, "epoch": 0.97, "percentage": 32.33, "elapsed_time": "3 days, 18:18:13", "remaining_time": "7 days, 20:59:13"} +{"current_steps": 8055, "total_steps": 24897, "loss": 0.9775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000251145121723808, "epoch": 0.97, "percentage": 32.35, "elapsed_time": "3 days, 18:21:49", "remaining_time": "7 days, 20:56:21"} +{"current_steps": 8060, "total_steps": 24897, "loss": 0.8841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002510691077205015, "epoch": 0.97, "percentage": 32.37, "elapsed_time": "3 days, 18:25:26", "remaining_time": "7 days, 20:53:32"} +{"current_steps": 8065, "total_steps": 24897, "loss": 0.9182, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002509930461507166, "epoch": 0.97, "percentage": 32.39, "elapsed_time": "3 days, 18:29:03", "remaining_time": "7 days, 20:50:41"} +{"current_steps": 8070, "total_steps": 24897, "loss": 0.8398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025091693705025023, "epoch": 0.97, "percentage": 32.41, "elapsed_time": "3 days, 18:32:40", "remaining_time": "7 days, 20:47:50"} +{"current_steps": 8075, "total_steps": 24897, "loss": 0.9557, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025084078045492194, "epoch": 0.97, "percentage": 32.43, "elapsed_time": "3 days, 18:36:18", "remaining_time": "7 days, 20:45:02"} +{"current_steps": 8080, "total_steps": 24897, "loss": 1.008, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002507645764005736, "epoch": 0.97, "percentage": 32.45, "elapsed_time": "3 days, 18:39:56", "remaining_time": "7 days, 20:42:13"} +{"current_steps": 8085, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025068832492306924, "epoch": 0.97, "percentage": 32.47, "elapsed_time": "3 days, 18:43:34", "remaining_time": "7 days, 20:39:23"} +{"current_steps": 8090, "total_steps": 24897, "loss": 0.936, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002506120260582955, "epoch": 0.97, "percentage": 32.49, "elapsed_time": "3 days, 18:47:11", "remaining_time": "7 days, 20:36:32"} +{"current_steps": 8095, "total_steps": 24897, "loss": 0.9284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000250535679842161, "epoch": 0.98, "percentage": 32.51, "elapsed_time": "3 days, 18:50:47", "remaining_time": "7 days, 20:33:41"} +{"current_steps": 8100, "total_steps": 24897, "loss": 0.9302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025045928631059694, "epoch": 0.98, "percentage": 32.53, "elapsed_time": "3 days, 18:54:25", "remaining_time": "7 days, 20:30:50"} +{"current_steps": 8105, "total_steps": 24897, "loss": 0.9366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00025038284549955655, "epoch": 0.98, "percentage": 32.55, "elapsed_time": "3 days, 18:58:06", "remaining_time": "7 days, 20:28:08"} +{"current_steps": 8110, "total_steps": 24897, "loss": 0.9312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002503063574450155, "epoch": 0.98, "percentage": 32.57, "elapsed_time": "3 days, 19:01:43", "remaining_time": "7 days, 20:25:18"} +{"current_steps": 8115, "total_steps": 24897, "loss": 0.8796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002502298221829715, "epoch": 0.98, "percentage": 32.59, "elapsed_time": "3 days, 19:05:21", "remaining_time": "7 days, 20:22:29"} +{"current_steps": 8120, "total_steps": 24897, "loss": 0.9392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002501532397494447, "epoch": 0.98, "percentage": 32.61, "elapsed_time": "3 days, 19:08:59", "remaining_time": "7 days, 20:19:40"} +{"current_steps": 8125, "total_steps": 24897, "loss": 0.9313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002500766101804773, "epoch": 0.98, "percentage": 32.63, "elapsed_time": "3 days, 19:12:37", "remaining_time": "7 days, 20:16:50"} +{"current_steps": 8130, "total_steps": 24897, "loss": 0.8611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002499999335121337, "epoch": 0.98, "percentage": 32.65, "elapsed_time": "3 days, 19:16:15", "remaining_time": "7 days, 20:14:01"} +{"current_steps": 8135, "total_steps": 24897, "loss": 0.9367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002499232097805004, "epoch": 0.98, "percentage": 32.67, "elapsed_time": "3 days, 19:19:53", "remaining_time": "7 days, 20:11:11"} +{"current_steps": 8140, "total_steps": 24897, "loss": 0.9207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002498464390216864, "epoch": 0.98, "percentage": 32.69, "elapsed_time": "3 days, 19:23:30", "remaining_time": "7 days, 20:08:21"} +{"current_steps": 8145, "total_steps": 24897, "loss": 0.9299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024976962127182224, "epoch": 0.98, "percentage": 32.71, "elapsed_time": "3 days, 19:27:09", "remaining_time": "7 days, 20:05:32"} +{"current_steps": 8150, "total_steps": 24897, "loss": 0.9032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024969275656706115, "epoch": 0.98, "percentage": 32.73, "elapsed_time": "3 days, 19:30:47", "remaining_time": "7 days, 20:02:44"} +{"current_steps": 8155, "total_steps": 24897, "loss": 0.8478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002496158449435781, "epoch": 0.98, "percentage": 32.75, "elapsed_time": "3 days, 19:34:26", "remaining_time": "7 days, 19:59:55"} +{"current_steps": 8160, "total_steps": 24897, "loss": 0.9258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024953888643757026, "epoch": 0.98, "percentage": 32.78, "elapsed_time": "3 days, 19:38:05", "remaining_time": "7 days, 19:57:08"} +{"current_steps": 8165, "total_steps": 24897, "loss": 0.8963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002494618810852569, "epoch": 0.98, "percentage": 32.8, "elapsed_time": "3 days, 19:41:43", "remaining_time": "7 days, 19:54:19"} +{"current_steps": 8170, "total_steps": 24897, "loss": 0.8931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002493848289228793, "epoch": 0.98, "percentage": 32.82, "elapsed_time": "3 days, 19:45:21", "remaining_time": "7 days, 19:51:30"} +{"current_steps": 8175, "total_steps": 24897, "loss": 0.931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024930772998670074, "epoch": 0.98, "percentage": 32.84, "elapsed_time": "3 days, 19:49:01", "remaining_time": "7 days, 19:48:44"} +{"current_steps": 8180, "total_steps": 24897, "loss": 0.8976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024923058431300653, "epoch": 0.99, "percentage": 32.86, "elapsed_time": "3 days, 19:52:39", "remaining_time": "7 days, 19:45:55"} +{"current_steps": 8185, "total_steps": 24897, "loss": 0.9273, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000249153391938104, "epoch": 0.99, "percentage": 32.88, "elapsed_time": "3 days, 19:56:18", "remaining_time": "7 days, 19:43:07"} +{"current_steps": 8190, "total_steps": 24897, "loss": 0.9052, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002490761528983224, "epoch": 0.99, "percentage": 32.9, "elapsed_time": "3 days, 19:59:57", "remaining_time": "7 days, 19:40:17"} +{"current_steps": 8195, "total_steps": 24897, "loss": 0.8845, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024899886723001307, "epoch": 0.99, "percentage": 32.92, "elapsed_time": "3 days, 20:03:35", "remaining_time": "7 days, 19:37:29"} +{"current_steps": 8200, "total_steps": 24897, "loss": 0.8958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024892153496954917, "epoch": 0.99, "percentage": 32.94, "elapsed_time": "3 days, 20:07:13", "remaining_time": "7 days, 19:34:39"} +{"current_steps": 8205, "total_steps": 24897, "loss": 0.862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002488441561533258, "epoch": 0.99, "percentage": 32.96, "elapsed_time": "3 days, 20:10:55", "remaining_time": "7 days, 19:31:55"} +{"current_steps": 8210, "total_steps": 24897, "loss": 0.9099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024876673081776, "epoch": 0.99, "percentage": 32.98, "elapsed_time": "3 days, 20:14:34", "remaining_time": "7 days, 19:29:07"} +{"current_steps": 8215, "total_steps": 24897, "loss": 0.8339, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024868925899929084, "epoch": 0.99, "percentage": 33.0, "elapsed_time": "3 days, 20:18:12", "remaining_time": "7 days, 19:26:18"} +{"current_steps": 8220, "total_steps": 24897, "loss": 0.8629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002486117407343789, "epoch": 0.99, "percentage": 33.02, "elapsed_time": "3 days, 20:21:50", "remaining_time": "7 days, 19:23:28"} +{"current_steps": 8225, "total_steps": 24897, "loss": 0.929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002485341760595071, "epoch": 0.99, "percentage": 33.04, "elapsed_time": "3 days, 20:25:29", "remaining_time": "7 days, 19:20:39"} +{"current_steps": 8230, "total_steps": 24897, "loss": 0.9028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002484565650111798, "epoch": 0.99, "percentage": 33.06, "elapsed_time": "3 days, 20:29:08", "remaining_time": "7 days, 19:17:50"} +{"current_steps": 8235, "total_steps": 24897, "loss": 0.9519, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002483789076259233, "epoch": 0.99, "percentage": 33.08, "elapsed_time": "3 days, 20:32:46", "remaining_time": "7 days, 19:15:01"} +{"current_steps": 8240, "total_steps": 24897, "loss": 0.9343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024830120394028586, "epoch": 0.99, "percentage": 33.1, "elapsed_time": "3 days, 20:36:25", "remaining_time": "7 days, 19:12:12"} +{"current_steps": 8245, "total_steps": 24897, "loss": 0.9037, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002482234539908374, "epoch": 0.99, "percentage": 33.12, "elapsed_time": "3 days, 20:40:03", "remaining_time": "7 days, 19:09:22"} +{"current_steps": 8250, "total_steps": 24897, "loss": 0.9319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002481456578141695, "epoch": 0.99, "percentage": 33.14, "elapsed_time": "3 days, 20:43:41", "remaining_time": "7 days, 19:06:32"} +{"current_steps": 8255, "total_steps": 24897, "loss": 0.8737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024806781544689575, "epoch": 0.99, "percentage": 33.16, "elapsed_time": "3 days, 20:47:20", "remaining_time": "7 days, 19:03:42"} +{"current_steps": 8260, "total_steps": 24897, "loss": 0.9123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024798992692565136, "epoch": 1.0, "percentage": 33.18, "elapsed_time": "3 days, 20:50:59", "remaining_time": "7 days, 19:00:53"} +{"current_steps": 8265, "total_steps": 24897, "loss": 0.9127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024791199228709317, "epoch": 1.0, "percentage": 33.2, "elapsed_time": "3 days, 20:54:39", "remaining_time": "7 days, 18:58:06"} +{"current_steps": 8270, "total_steps": 24897, "loss": 0.9055, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024783401156789985, "epoch": 1.0, "percentage": 33.22, "elapsed_time": "3 days, 20:57:46", "remaining_time": "7 days, 18:54:13"} +{"current_steps": 8275, "total_steps": 24897, "loss": 1.01, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024775598480477175, "epoch": 1.0, "percentage": 33.24, "elapsed_time": "3 days, 21:00:50", "remaining_time": "7 days, 18:50:14"} +{"current_steps": 8280, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002476779120344308, "epoch": 1.0, "percentage": 33.26, "elapsed_time": "3 days, 21:03:43", "remaining_time": "7 days, 18:45:53"} +{"current_steps": 8285, "total_steps": 24897, "loss": 0.9176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024759979329362067, "epoch": 1.0, "percentage": 33.28, "elapsed_time": "3 days, 21:06:32", "remaining_time": "7 days, 18:41:24"} +{"current_steps": 8290, "total_steps": 24897, "loss": 0.8642, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002475216286191067, "epoch": 1.0, "percentage": 33.3, "elapsed_time": "3 days, 21:09:21", "remaining_time": "7 days, 18:36:54"} +{"current_steps": 8295, "total_steps": 24897, "loss": 0.9282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024744341804767555, "epoch": 1.0, "percentage": 33.32, "elapsed_time": "3 days, 21:12:09", "remaining_time": "7 days, 18:32:24"} +{"current_steps": 8300, "total_steps": 24897, "loss": 0.8526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000247365161616136, "epoch": 1.0, "percentage": 33.34, "elapsed_time": "3 days, 21:15:08", "remaining_time": "7 days, 18:28:15"} +{"current_steps": 8305, "total_steps": 24897, "loss": 0.8295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024728685936131794, "epoch": 1.0, "percentage": 33.36, "elapsed_time": "3 days, 21:19:02", "remaining_time": "7 days, 18:25:57"} +{"current_steps": 8310, "total_steps": 24897, "loss": 0.9086, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002472085113200731, "epoch": 1.0, "percentage": 33.38, "elapsed_time": "3 days, 21:22:41", "remaining_time": "7 days, 18:23:07"} +{"current_steps": 8315, "total_steps": 24897, "loss": 0.9956, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002471301175292746, "epoch": 1.0, "percentage": 33.4, "elapsed_time": "3 days, 21:26:19", "remaining_time": "7 days, 18:20:16"} +{"current_steps": 8320, "total_steps": 24897, "loss": 0.9715, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024705167802581727, "epoch": 1.0, "percentage": 33.42, "elapsed_time": "3 days, 21:29:56", "remaining_time": "7 days, 18:17:24"} +{"current_steps": 8325, "total_steps": 24897, "loss": 0.8762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002469731928466172, "epoch": 1.0, "percentage": 33.44, "elapsed_time": "3 days, 21:33:34", "remaining_time": "7 days, 18:14:33"} +{"current_steps": 8330, "total_steps": 24897, "loss": 0.9099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002468946620286122, "epoch": 1.0, "percentage": 33.46, "elapsed_time": "3 days, 21:37:12", "remaining_time": "7 days, 18:11:42"} +{"current_steps": 8335, "total_steps": 24897, "loss": 0.9334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002468160856087615, "epoch": 1.0, "percentage": 33.48, "elapsed_time": "3 days, 21:40:50", "remaining_time": "7 days, 18:08:50"} +{"current_steps": 8340, "total_steps": 24897, "loss": 0.9715, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002467374636240458, "epoch": 1.0, "percentage": 33.5, "elapsed_time": "3 days, 21:44:28", "remaining_time": "7 days, 18:05:59"} +{"current_steps": 8345, "total_steps": 24897, "loss": 0.8772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002466587961114671, "epoch": 1.01, "percentage": 33.52, "elapsed_time": "3 days, 21:48:06", "remaining_time": "7 days, 18:03:07"} +{"current_steps": 8350, "total_steps": 24897, "loss": 0.9342, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000246580083108049, "epoch": 1.01, "percentage": 33.54, "elapsed_time": "3 days, 21:51:44", "remaining_time": "7 days, 18:00:17"} +{"current_steps": 8355, "total_steps": 24897, "loss": 0.9424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002465013246508365, "epoch": 1.01, "percentage": 33.56, "elapsed_time": "3 days, 21:55:22", "remaining_time": "7 days, 17:57:25"} +{"current_steps": 8360, "total_steps": 24897, "loss": 0.8854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002464225207768959, "epoch": 1.01, "percentage": 33.58, "elapsed_time": "3 days, 21:58:59", "remaining_time": "7 days, 17:54:32"} +{"current_steps": 8365, "total_steps": 24897, "loss": 0.9185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002463436715233149, "epoch": 1.01, "percentage": 33.6, "elapsed_time": "3 days, 22:02:36", "remaining_time": "7 days, 17:51:39"} +{"current_steps": 8370, "total_steps": 24897, "loss": 0.8415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002462647769272027, "epoch": 1.01, "percentage": 33.62, "elapsed_time": "3 days, 22:06:14", "remaining_time": "7 days, 17:48:48"} +{"current_steps": 8375, "total_steps": 24897, "loss": 0.9426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024618583702568954, "epoch": 1.01, "percentage": 33.64, "elapsed_time": "3 days, 22:09:51", "remaining_time": "7 days, 17:45:54"} +{"current_steps": 8380, "total_steps": 24897, "loss": 0.833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002461068518559273, "epoch": 1.01, "percentage": 33.66, "elapsed_time": "3 days, 22:13:29", "remaining_time": "7 days, 17:43:02"} +{"current_steps": 8385, "total_steps": 24897, "loss": 0.8884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024602782145508885, "epoch": 1.01, "percentage": 33.68, "elapsed_time": "3 days, 22:17:06", "remaining_time": "7 days, 17:40:09"} +{"current_steps": 8390, "total_steps": 24897, "loss": 0.8266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024594874586036876, "epoch": 1.01, "percentage": 33.7, "elapsed_time": "3 days, 22:20:44", "remaining_time": "7 days, 17:37:17"} +{"current_steps": 8395, "total_steps": 24897, "loss": 0.96, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024586962510898244, "epoch": 1.01, "percentage": 33.72, "elapsed_time": "3 days, 22:24:22", "remaining_time": "7 days, 17:34:24"} +{"current_steps": 8400, "total_steps": 24897, "loss": 0.9248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002457904592381668, "epoch": 1.01, "percentage": 33.74, "elapsed_time": "3 days, 22:27:59", "remaining_time": "7 days, 17:31:31"} +{"current_steps": 8405, "total_steps": 24897, "loss": 0.9204, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024571124828518003, "epoch": 1.01, "percentage": 33.76, "elapsed_time": "3 days, 22:31:39", "remaining_time": "7 days, 17:28:43"} +{"current_steps": 8410, "total_steps": 24897, "loss": 0.8909, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002456319922873013, "epoch": 1.01, "percentage": 33.78, "elapsed_time": "3 days, 22:35:16", "remaining_time": "7 days, 17:25:49"} +{"current_steps": 8415, "total_steps": 24897, "loss": 0.8827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024555269128183116, "epoch": 1.01, "percentage": 33.8, "elapsed_time": "3 days, 22:38:53", "remaining_time": "7 days, 17:22:56"} +{"current_steps": 8420, "total_steps": 24897, "loss": 0.8416, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024547334530609124, "epoch": 1.01, "percentage": 33.82, "elapsed_time": "3 days, 22:42:31", "remaining_time": "7 days, 17:20:04"} +{"current_steps": 8425, "total_steps": 24897, "loss": 0.8868, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024539395439742453, "epoch": 1.02, "percentage": 33.84, "elapsed_time": "3 days, 22:46:09", "remaining_time": "7 days, 17:17:11"} +{"current_steps": 8430, "total_steps": 24897, "loss": 1.0127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000245314518593195, "epoch": 1.02, "percentage": 33.86, "elapsed_time": "3 days, 22:49:46", "remaining_time": "7 days, 17:14:17"} +{"current_steps": 8435, "total_steps": 24897, "loss": 0.9244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002452350379307876, "epoch": 1.02, "percentage": 33.88, "elapsed_time": "3 days, 22:53:23", "remaining_time": "7 days, 17:11:23"} +{"current_steps": 8440, "total_steps": 24897, "loss": 0.9534, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024515551244760865, "epoch": 1.02, "percentage": 33.9, "elapsed_time": "3 days, 22:57:02", "remaining_time": "7 days, 17:08:33"} +{"current_steps": 8445, "total_steps": 24897, "loss": 0.8905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002450759421810856, "epoch": 1.02, "percentage": 33.92, "elapsed_time": "3 days, 23:00:40", "remaining_time": "7 days, 17:05:41"} +{"current_steps": 8450, "total_steps": 24897, "loss": 0.9037, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002449963271686668, "epoch": 1.02, "percentage": 33.94, "elapsed_time": "3 days, 23:04:19", "remaining_time": "7 days, 17:02:50"} +{"current_steps": 8455, "total_steps": 24897, "loss": 0.8819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002449166674478217, "epoch": 1.02, "percentage": 33.96, "elapsed_time": "3 days, 23:07:58", "remaining_time": "7 days, 17:00:00"} +{"current_steps": 8460, "total_steps": 24897, "loss": 0.9506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002448369630560408, "epoch": 1.02, "percentage": 33.98, "elapsed_time": "3 days, 23:11:37", "remaining_time": "7 days, 16:57:10"} +{"current_steps": 8465, "total_steps": 24897, "loss": 0.8741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024475721403083566, "epoch": 1.02, "percentage": 34.0, "elapsed_time": "3 days, 23:15:17", "remaining_time": "7 days, 16:54:20"} +{"current_steps": 8470, "total_steps": 24897, "loss": 0.8722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002446774204097388, "epoch": 1.02, "percentage": 34.02, "elapsed_time": "3 days, 23:18:56", "remaining_time": "7 days, 16:51:31"} +{"current_steps": 8475, "total_steps": 24897, "loss": 0.8477, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002445975822303038, "epoch": 1.02, "percentage": 34.04, "elapsed_time": "3 days, 23:22:37", "remaining_time": "7 days, 16:48:43"} +{"current_steps": 8480, "total_steps": 24897, "loss": 0.8088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024451769953010504, "epoch": 1.02, "percentage": 34.06, "elapsed_time": "3 days, 23:26:16", "remaining_time": "7 days, 16:45:52"} +{"current_steps": 8485, "total_steps": 24897, "loss": 0.8667, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024443777234673807, "epoch": 1.02, "percentage": 34.08, "elapsed_time": "3 days, 23:29:56", "remaining_time": "7 days, 16:43:04"} +{"current_steps": 8490, "total_steps": 24897, "loss": 0.8324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024435780071781926, "epoch": 1.02, "percentage": 34.1, "elapsed_time": "3 days, 23:33:37", "remaining_time": "7 days, 16:40:16"} +{"current_steps": 8495, "total_steps": 24897, "loss": 0.8618, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024427778468098587, "epoch": 1.02, "percentage": 34.12, "elapsed_time": "3 days, 23:37:17", "remaining_time": "7 days, 16:37:26"} +{"current_steps": 8500, "total_steps": 24897, "loss": 0.9769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002441977242738962, "epoch": 1.02, "percentage": 34.14, "elapsed_time": "3 days, 23:40:56", "remaining_time": "7 days, 16:34:37"} +{"current_steps": 8505, "total_steps": 24897, "loss": 0.8776, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024411761953422922, "epoch": 1.02, "percentage": 34.16, "elapsed_time": "3 days, 23:44:38", "remaining_time": "7 days, 16:31:52"} +{"current_steps": 8510, "total_steps": 24897, "loss": 0.8499, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000244037470499685, "epoch": 1.03, "percentage": 34.18, "elapsed_time": "3 days, 23:48:19", "remaining_time": "7 days, 16:29:04"} +{"current_steps": 8515, "total_steps": 24897, "loss": 0.8764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024395727720798424, "epoch": 1.03, "percentage": 34.2, "elapsed_time": "3 days, 23:51:58", "remaining_time": "7 days, 16:26:13"} +{"current_steps": 8520, "total_steps": 24897, "loss": 0.8729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002438770396968686, "epoch": 1.03, "percentage": 34.22, "elapsed_time": "3 days, 23:55:39", "remaining_time": "7 days, 16:23:25"} +{"current_steps": 8525, "total_steps": 24897, "loss": 0.8665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002437967580041005, "epoch": 1.03, "percentage": 34.24, "elapsed_time": "3 days, 23:59:20", "remaining_time": "7 days, 16:20:37"} +{"current_steps": 8530, "total_steps": 24897, "loss": 0.8653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024371643216746324, "epoch": 1.03, "percentage": 34.26, "elapsed_time": "4 days, 0:03:00", "remaining_time": "7 days, 16:17:48"} +{"current_steps": 8535, "total_steps": 24897, "loss": 0.8832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024363606222476075, "epoch": 1.03, "percentage": 34.28, "elapsed_time": "4 days, 0:06:39", "remaining_time": "7 days, 16:14:58"} +{"current_steps": 8540, "total_steps": 24897, "loss": 0.8693, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024355564821381784, "epoch": 1.03, "percentage": 34.3, "elapsed_time": "4 days, 0:10:20", "remaining_time": "7 days, 16:12:09"} +{"current_steps": 8545, "total_steps": 24897, "loss": 0.9157, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024347519017247995, "epoch": 1.03, "percentage": 34.32, "elapsed_time": "4 days, 0:14:01", "remaining_time": "7 days, 16:09:21"} +{"current_steps": 8550, "total_steps": 24897, "loss": 0.8323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024339468813861336, "epoch": 1.03, "percentage": 34.34, "elapsed_time": "4 days, 0:17:41", "remaining_time": "7 days, 16:06:33"} +{"current_steps": 8555, "total_steps": 24897, "loss": 0.8574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000243314142150105, "epoch": 1.03, "percentage": 34.36, "elapsed_time": "4 days, 0:21:22", "remaining_time": "7 days, 16:03:44"} +{"current_steps": 8560, "total_steps": 24897, "loss": 0.9551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002432335522448625, "epoch": 1.03, "percentage": 34.38, "elapsed_time": "4 days, 0:25:02", "remaining_time": "7 days, 16:00:55"} +{"current_steps": 8565, "total_steps": 24897, "loss": 0.9939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024315291846081406, "epoch": 1.03, "percentage": 34.4, "elapsed_time": "4 days, 0:28:43", "remaining_time": "7 days, 15:58:06"} +{"current_steps": 8570, "total_steps": 24897, "loss": 0.8392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024307224083590874, "epoch": 1.03, "percentage": 34.42, "elapsed_time": "4 days, 0:32:24", "remaining_time": "7 days, 15:55:18"} +{"current_steps": 8575, "total_steps": 24897, "loss": 0.8661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024299151940811606, "epoch": 1.03, "percentage": 34.44, "elapsed_time": "4 days, 0:36:04", "remaining_time": "7 days, 15:52:29"} +{"current_steps": 8580, "total_steps": 24897, "loss": 0.8679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002429107542154261, "epoch": 1.03, "percentage": 34.46, "elapsed_time": "4 days, 0:39:45", "remaining_time": "7 days, 15:49:40"} +{"current_steps": 8585, "total_steps": 24897, "loss": 0.8598, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024282994529584983, "epoch": 1.03, "percentage": 34.48, "elapsed_time": "4 days, 0:43:25", "remaining_time": "7 days, 15:46:51"} +{"current_steps": 8590, "total_steps": 24897, "loss": 0.8349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024274909268741848, "epoch": 1.04, "percentage": 34.5, "elapsed_time": "4 days, 0:47:06", "remaining_time": "7 days, 15:44:01"} +{"current_steps": 8595, "total_steps": 24897, "loss": 0.8345, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024266819642818405, "epoch": 1.04, "percentage": 34.52, "elapsed_time": "4 days, 0:50:46", "remaining_time": "7 days, 15:41:12"} +{"current_steps": 8600, "total_steps": 24897, "loss": 0.8879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002425872565562189, "epoch": 1.04, "percentage": 34.54, "elapsed_time": "4 days, 0:54:26", "remaining_time": "7 days, 15:38:22"} +{"current_steps": 8605, "total_steps": 24897, "loss": 0.7877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024250627310961614, "epoch": 1.04, "percentage": 34.56, "elapsed_time": "4 days, 0:58:10", "remaining_time": "7 days, 15:35:38"} +{"current_steps": 8610, "total_steps": 24897, "loss": 0.8724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024242524612648917, "epoch": 1.04, "percentage": 34.58, "elapsed_time": "4 days, 1:01:51", "remaining_time": "7 days, 15:32:50"} +{"current_steps": 8615, "total_steps": 24897, "loss": 0.8138, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024234417564497206, "epoch": 1.04, "percentage": 34.6, "elapsed_time": "4 days, 1:05:32", "remaining_time": "7 days, 15:30:01"} +{"current_steps": 8620, "total_steps": 24897, "loss": 0.9583, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024226306170321924, "epoch": 1.04, "percentage": 34.62, "elapsed_time": "4 days, 1:09:12", "remaining_time": "7 days, 15:27:11"} +{"current_steps": 8625, "total_steps": 24897, "loss": 0.9456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024218190433940558, "epoch": 1.04, "percentage": 34.64, "elapsed_time": "4 days, 1:12:52", "remaining_time": "7 days, 15:24:22"} +{"current_steps": 8630, "total_steps": 24897, "loss": 0.9033, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002421007035917265, "epoch": 1.04, "percentage": 34.66, "elapsed_time": "4 days, 1:16:34", "remaining_time": "7 days, 15:21:33"} +{"current_steps": 8635, "total_steps": 24897, "loss": 0.9297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024201945949839775, "epoch": 1.04, "percentage": 34.68, "elapsed_time": "4 days, 1:20:14", "remaining_time": "7 days, 15:18:43"} +{"current_steps": 8640, "total_steps": 24897, "loss": 0.9025, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002419381720976555, "epoch": 1.04, "percentage": 34.7, "elapsed_time": "4 days, 1:23:55", "remaining_time": "7 days, 15:15:54"} +{"current_steps": 8645, "total_steps": 24897, "loss": 0.9095, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024185684142775623, "epoch": 1.04, "percentage": 34.72, "elapsed_time": "4 days, 1:27:36", "remaining_time": "7 days, 15:13:05"} +{"current_steps": 8650, "total_steps": 24897, "loss": 0.8968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024177546752697697, "epoch": 1.04, "percentage": 34.74, "elapsed_time": "4 days, 1:31:16", "remaining_time": "7 days, 15:10:15"} +{"current_steps": 8655, "total_steps": 24897, "loss": 0.8366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024169405043361492, "epoch": 1.04, "percentage": 34.76, "elapsed_time": "4 days, 1:34:58", "remaining_time": "7 days, 15:07:26"} +{"current_steps": 8660, "total_steps": 24897, "loss": 0.8781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024161259018598764, "epoch": 1.04, "percentage": 34.78, "elapsed_time": "4 days, 1:38:37", "remaining_time": "7 days, 15:04:35"} +{"current_steps": 8665, "total_steps": 24897, "loss": 0.8827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024153108682243307, "epoch": 1.04, "percentage": 34.8, "elapsed_time": "4 days, 1:42:17", "remaining_time": "7 days, 15:01:44"} +{"current_steps": 8670, "total_steps": 24897, "loss": 0.8959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024144954038130936, "epoch": 1.04, "percentage": 34.82, "elapsed_time": "4 days, 1:45:58", "remaining_time": "7 days, 14:58:53"} +{"current_steps": 8675, "total_steps": 24897, "loss": 0.9922, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024136795090099502, "epoch": 1.05, "percentage": 34.84, "elapsed_time": "4 days, 1:49:38", "remaining_time": "7 days, 14:56:03"} +{"current_steps": 8680, "total_steps": 24897, "loss": 0.9727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024128631841988877, "epoch": 1.05, "percentage": 34.86, "elapsed_time": "4 days, 1:53:19", "remaining_time": "7 days, 14:53:14"} +{"current_steps": 8685, "total_steps": 24897, "loss": 0.8525, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024120464297640955, "epoch": 1.05, "percentage": 34.88, "elapsed_time": "4 days, 1:56:59", "remaining_time": "7 days, 14:50:22"} +{"current_steps": 8690, "total_steps": 24897, "loss": 0.8168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024112292460899652, "epoch": 1.05, "percentage": 34.9, "elapsed_time": "4 days, 2:00:39", "remaining_time": "7 days, 14:47:31"} +{"current_steps": 8695, "total_steps": 24897, "loss": 0.957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024104116335610905, "epoch": 1.05, "percentage": 34.92, "elapsed_time": "4 days, 2:04:20", "remaining_time": "7 days, 14:44:41"} +{"current_steps": 8700, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024095935925622675, "epoch": 1.05, "percentage": 34.94, "elapsed_time": "4 days, 2:08:01", "remaining_time": "7 days, 14:41:53"} +{"current_steps": 8705, "total_steps": 24897, "loss": 0.9486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024087751234784933, "epoch": 1.05, "percentage": 34.96, "elapsed_time": "4 days, 2:11:45", "remaining_time": "7 days, 14:39:09"} +{"current_steps": 8710, "total_steps": 24897, "loss": 0.9281, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002407956226694966, "epoch": 1.05, "percentage": 34.98, "elapsed_time": "4 days, 2:15:27", "remaining_time": "7 days, 14:36:21"} +{"current_steps": 8715, "total_steps": 24897, "loss": 0.7803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024071369025970867, "epoch": 1.05, "percentage": 35.0, "elapsed_time": "4 days, 2:19:09", "remaining_time": "7 days, 14:33:33"} +{"current_steps": 8720, "total_steps": 24897, "loss": 0.8684, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024063171515704556, "epoch": 1.05, "percentage": 35.02, "elapsed_time": "4 days, 2:22:51", "remaining_time": "7 days, 14:30:44"} +{"current_steps": 8725, "total_steps": 24897, "loss": 0.7765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002405496974000875, "epoch": 1.05, "percentage": 35.04, "elapsed_time": "4 days, 2:26:31", "remaining_time": "7 days, 14:27:53"} +{"current_steps": 8730, "total_steps": 24897, "loss": 0.8652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024046763702743478, "epoch": 1.05, "percentage": 35.06, "elapsed_time": "4 days, 2:30:12", "remaining_time": "7 days, 14:25:02"} +{"current_steps": 8735, "total_steps": 24897, "loss": 0.8446, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024038553407770778, "epoch": 1.05, "percentage": 35.08, "elapsed_time": "4 days, 2:33:53", "remaining_time": "7 days, 14:22:13"} +{"current_steps": 8740, "total_steps": 24897, "loss": 0.8153, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024030338858954678, "epoch": 1.05, "percentage": 35.1, "elapsed_time": "4 days, 2:37:34", "remaining_time": "7 days, 14:19:22"} +{"current_steps": 8745, "total_steps": 24897, "loss": 0.8407, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002402212006016123, "epoch": 1.05, "percentage": 35.12, "elapsed_time": "4 days, 2:41:14", "remaining_time": "7 days, 14:16:32"} +{"current_steps": 8750, "total_steps": 24897, "loss": 0.7756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002401389701525846, "epoch": 1.05, "percentage": 35.14, "elapsed_time": "4 days, 2:44:55", "remaining_time": "7 days, 14:13:41"} +{"current_steps": 8755, "total_steps": 24897, "loss": 0.8441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00024005669728116417, "epoch": 1.05, "percentage": 35.16, "elapsed_time": "4 days, 2:48:37", "remaining_time": "7 days, 14:10:52"} +{"current_steps": 8760, "total_steps": 24897, "loss": 0.8697, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023997438202607124, "epoch": 1.06, "percentage": 35.18, "elapsed_time": "4 days, 2:52:17", "remaining_time": "7 days, 14:08:00"} +{"current_steps": 8765, "total_steps": 24897, "loss": 0.9377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023989202442604621, "epoch": 1.06, "percentage": 35.21, "elapsed_time": "4 days, 2:55:58", "remaining_time": "7 days, 14:05:10"} +{"current_steps": 8770, "total_steps": 24897, "loss": 0.8814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023980962451984928, "epoch": 1.06, "percentage": 35.23, "elapsed_time": "4 days, 2:59:39", "remaining_time": "7 days, 14:02:19"} +{"current_steps": 8775, "total_steps": 24897, "loss": 0.7183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023972718234626056, "epoch": 1.06, "percentage": 35.25, "elapsed_time": "4 days, 3:03:20", "remaining_time": "7 days, 13:59:28"} +{"current_steps": 8780, "total_steps": 24897, "loss": 0.9437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023964469794408006, "epoch": 1.06, "percentage": 35.27, "elapsed_time": "4 days, 3:07:00", "remaining_time": "7 days, 13:56:38"} +{"current_steps": 8785, "total_steps": 24897, "loss": 0.9118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002395621713521277, "epoch": 1.06, "percentage": 35.29, "elapsed_time": "4 days, 3:10:42", "remaining_time": "7 days, 13:53:48"} +{"current_steps": 8790, "total_steps": 24897, "loss": 0.8401, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023947960260924326, "epoch": 1.06, "percentage": 35.31, "elapsed_time": "4 days, 3:14:23", "remaining_time": "7 days, 13:50:57"} +{"current_steps": 8795, "total_steps": 24897, "loss": 0.9485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002393969917542863, "epoch": 1.06, "percentage": 35.33, "elapsed_time": "4 days, 3:18:04", "remaining_time": "7 days, 13:48:07"} +{"current_steps": 8800, "total_steps": 24897, "loss": 0.8719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023931433882613617, "epoch": 1.06, "percentage": 35.35, "elapsed_time": "4 days, 3:21:46", "remaining_time": "7 days, 13:45:18"} +{"current_steps": 8805, "total_steps": 24897, "loss": 0.8471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023923164386369225, "epoch": 1.06, "percentage": 35.37, "elapsed_time": "4 days, 3:25:30", "remaining_time": "7 days, 13:42:33"} +{"current_steps": 8810, "total_steps": 24897, "loss": 1.0099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023916545765519838, "epoch": 1.06, "percentage": 35.39, "elapsed_time": "4 days, 3:29:12", "remaining_time": "7 days, 13:39:43"} +{"current_steps": 8815, "total_steps": 24897, "loss": 0.9514, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002390826871291146, "epoch": 1.06, "percentage": 35.41, "elapsed_time": "4 days, 3:32:53", "remaining_time": "7 days, 13:36:53"} +{"current_steps": 8820, "total_steps": 24897, "loss": 0.794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023899987467775985, "epoch": 1.06, "percentage": 35.43, "elapsed_time": "4 days, 3:36:35", "remaining_time": "7 days, 13:34:03"} +{"current_steps": 8825, "total_steps": 24897, "loss": 0.8971, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023891702034010856, "epoch": 1.06, "percentage": 35.45, "elapsed_time": "4 days, 3:40:15", "remaining_time": "7 days, 13:31:11"} +{"current_steps": 8830, "total_steps": 24897, "loss": 0.874, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023883412415515458, "epoch": 1.06, "percentage": 35.47, "elapsed_time": "4 days, 3:43:57", "remaining_time": "7 days, 13:28:22"} +{"current_steps": 8835, "total_steps": 24897, "loss": 0.9071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002387511861619117, "epoch": 1.06, "percentage": 35.49, "elapsed_time": "4 days, 3:47:39", "remaining_time": "7 days, 13:25:32"} +{"current_steps": 8840, "total_steps": 24897, "loss": 0.8574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023866820639941328, "epoch": 1.07, "percentage": 35.51, "elapsed_time": "4 days, 3:51:20", "remaining_time": "7 days, 13:22:41"} +{"current_steps": 8845, "total_steps": 24897, "loss": 0.9146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002385851849067124, "epoch": 1.07, "percentage": 35.53, "elapsed_time": "4 days, 3:55:01", "remaining_time": "7 days, 13:19:50"} +{"current_steps": 8850, "total_steps": 24897, "loss": 0.8853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002385021217228816, "epoch": 1.07, "percentage": 35.55, "elapsed_time": "4 days, 3:58:43", "remaining_time": "7 days, 13:17:00"} +{"current_steps": 8855, "total_steps": 24897, "loss": 0.8394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002384190168870133, "epoch": 1.07, "percentage": 35.57, "elapsed_time": "4 days, 4:02:24", "remaining_time": "7 days, 13:14:09"} +{"current_steps": 8860, "total_steps": 24897, "loss": 0.8461, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023833587043821933, "epoch": 1.07, "percentage": 35.59, "elapsed_time": "4 days, 4:06:06", "remaining_time": "7 days, 13:11:19"} +{"current_steps": 8865, "total_steps": 24897, "loss": 0.8247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023825268241563121, "epoch": 1.07, "percentage": 35.61, "elapsed_time": "4 days, 4:09:47", "remaining_time": "7 days, 13:08:27"} +{"current_steps": 8870, "total_steps": 24897, "loss": 0.918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023816945285839994, "epoch": 1.07, "percentage": 35.63, "elapsed_time": "4 days, 4:13:28", "remaining_time": "7 days, 13:05:36"} +{"current_steps": 8875, "total_steps": 24897, "loss": 0.8747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023808618180569613, "epoch": 1.07, "percentage": 35.65, "elapsed_time": "4 days, 4:17:09", "remaining_time": "7 days, 13:02:44"} +{"current_steps": 8880, "total_steps": 24897, "loss": 0.8885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023800286929670996, "epoch": 1.07, "percentage": 35.67, "elapsed_time": "4 days, 4:20:50", "remaining_time": "7 days, 12:59:53"} +{"current_steps": 8885, "total_steps": 24897, "loss": 0.9846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023791951537065098, "epoch": 1.07, "percentage": 35.69, "elapsed_time": "4 days, 4:24:32", "remaining_time": "7 days, 12:57:02"} +{"current_steps": 8890, "total_steps": 24897, "loss": 0.9043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023783612006674835, "epoch": 1.07, "percentage": 35.71, "elapsed_time": "4 days, 4:28:13", "remaining_time": "7 days, 12:54:12"} +{"current_steps": 8895, "total_steps": 24897, "loss": 0.8575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023775268342425071, "epoch": 1.07, "percentage": 35.73, "elapsed_time": "4 days, 4:31:55", "remaining_time": "7 days, 12:51:21"} +{"current_steps": 8900, "total_steps": 24897, "loss": 0.8788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023766920548242597, "epoch": 1.07, "percentage": 35.75, "elapsed_time": "4 days, 4:35:37", "remaining_time": "7 days, 12:48:31"} +{"current_steps": 8905, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023758568628056185, "epoch": 1.07, "percentage": 35.77, "elapsed_time": "4 days, 4:39:20", "remaining_time": "7 days, 12:45:43"} +{"current_steps": 8910, "total_steps": 24897, "loss": 0.9431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023750212585796506, "epoch": 1.07, "percentage": 35.79, "elapsed_time": "4 days, 4:43:02", "remaining_time": "7 days, 12:42:52"} +{"current_steps": 8915, "total_steps": 24897, "loss": 0.8415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000237418524253962, "epoch": 1.07, "percentage": 35.81, "elapsed_time": "4 days, 4:46:43", "remaining_time": "7 days, 12:40:01"} +{"current_steps": 8920, "total_steps": 24897, "loss": 0.9387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023733488150789832, "epoch": 1.07, "percentage": 35.83, "elapsed_time": "4 days, 4:50:24", "remaining_time": "7 days, 12:37:09"} +{"current_steps": 8925, "total_steps": 24897, "loss": 0.8804, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023725119765913915, "epoch": 1.08, "percentage": 35.85, "elapsed_time": "4 days, 4:54:06", "remaining_time": "7 days, 12:34:18"} +{"current_steps": 8930, "total_steps": 24897, "loss": 1.0063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023716747274706886, "epoch": 1.08, "percentage": 35.87, "elapsed_time": "4 days, 4:57:48", "remaining_time": "7 days, 12:31:27"} +{"current_steps": 8935, "total_steps": 24897, "loss": 0.9604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002370837068110911, "epoch": 1.08, "percentage": 35.89, "elapsed_time": "4 days, 5:01:28", "remaining_time": "7 days, 12:28:34"} +{"current_steps": 8940, "total_steps": 24897, "loss": 0.861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023699989989062892, "epoch": 1.08, "percentage": 35.91, "elapsed_time": "4 days, 5:05:10", "remaining_time": "7 days, 12:25:42"} +{"current_steps": 8945, "total_steps": 24897, "loss": 0.8511, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002369160520251248, "epoch": 1.08, "percentage": 35.93, "elapsed_time": "4 days, 5:08:52", "remaining_time": "7 days, 12:22:52"} +{"current_steps": 8950, "total_steps": 24897, "loss": 0.8144, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023683216325404009, "epoch": 1.08, "percentage": 35.95, "elapsed_time": "4 days, 5:12:33", "remaining_time": "7 days, 12:20:01"} +{"current_steps": 8955, "total_steps": 24897, "loss": 0.8949, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002367482336168558, "epoch": 1.08, "percentage": 35.97, "elapsed_time": "4 days, 5:16:15", "remaining_time": "7 days, 12:17:09"} +{"current_steps": 8960, "total_steps": 24897, "loss": 0.9336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023666426315307188, "epoch": 1.08, "percentage": 35.99, "elapsed_time": "4 days, 5:19:56", "remaining_time": "7 days, 12:14:17"} +{"current_steps": 8965, "total_steps": 24897, "loss": 0.8794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023658025190220774, "epoch": 1.08, "percentage": 36.01, "elapsed_time": "4 days, 5:23:37", "remaining_time": "7 days, 12:11:25"} +{"current_steps": 8970, "total_steps": 24897, "loss": 0.8264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023649619990380184, "epoch": 1.08, "percentage": 36.03, "elapsed_time": "4 days, 5:27:19", "remaining_time": "7 days, 12:08:34"} +{"current_steps": 8975, "total_steps": 24897, "loss": 0.9651, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023641210719741175, "epoch": 1.08, "percentage": 36.05, "elapsed_time": "4 days, 5:31:00", "remaining_time": "7 days, 12:05:41"} +{"current_steps": 8980, "total_steps": 24897, "loss": 0.8688, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023632797382261441, "epoch": 1.08, "percentage": 36.07, "elapsed_time": "4 days, 5:34:42", "remaining_time": "7 days, 12:02:50"} +{"current_steps": 8985, "total_steps": 24897, "loss": 0.8988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023624379981900572, "epoch": 1.08, "percentage": 36.09, "elapsed_time": "4 days, 5:38:23", "remaining_time": "7 days, 11:59:58"} +{"current_steps": 8990, "total_steps": 24897, "loss": 0.8212, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023615958522620078, "epoch": 1.08, "percentage": 36.11, "elapsed_time": "4 days, 5:42:04", "remaining_time": "7 days, 11:57:05"} +{"current_steps": 8995, "total_steps": 24897, "loss": 0.8061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023607533008383373, "epoch": 1.08, "percentage": 36.13, "elapsed_time": "4 days, 5:45:46", "remaining_time": "7 days, 11:54:14"} +{"current_steps": 9000, "total_steps": 24897, "loss": 0.8282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023599103443155788, "epoch": 1.08, "percentage": 36.15, "elapsed_time": "4 days, 5:49:29", "remaining_time": "7 days, 11:51:23"} +{"current_steps": 9005, "total_steps": 24897, "loss": 0.9067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023590669830904554, "epoch": 1.09, "percentage": 36.17, "elapsed_time": "4 days, 5:53:17", "remaining_time": "7 days, 11:48:42"} +{"current_steps": 9010, "total_steps": 24897, "loss": 0.9132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023582232175598812, "epoch": 1.09, "percentage": 36.19, "elapsed_time": "4 days, 5:56:59", "remaining_time": "7 days, 11:45:51"} +{"current_steps": 9015, "total_steps": 24897, "loss": 0.9233, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000235737904812096, "epoch": 1.09, "percentage": 36.21, "elapsed_time": "4 days, 6:00:41", "remaining_time": "7 days, 11:42:59"} +{"current_steps": 9020, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023567034220227885, "epoch": 1.09, "percentage": 36.23, "elapsed_time": "4 days, 6:04:23", "remaining_time": "7 days, 11:40:09"} +{"current_steps": 9025, "total_steps": 24897, "loss": 0.789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023558585265501518, "epoch": 1.09, "percentage": 36.25, "elapsed_time": "4 days, 6:08:06", "remaining_time": "7 days, 11:37:18"} +{"current_steps": 9030, "total_steps": 24897, "loss": 0.9243, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023550132282820706, "epoch": 1.09, "percentage": 36.27, "elapsed_time": "4 days, 6:11:48", "remaining_time": "7 days, 11:34:28"} +{"current_steps": 9035, "total_steps": 24897, "loss": 0.8918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023541675276163697, "epoch": 1.09, "percentage": 36.29, "elapsed_time": "4 days, 6:15:31", "remaining_time": "7 days, 11:31:37"} +{"current_steps": 9040, "total_steps": 24897, "loss": 0.8376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023533214249510647, "epoch": 1.09, "percentage": 36.31, "elapsed_time": "4 days, 6:19:13", "remaining_time": "7 days, 11:28:46"} +{"current_steps": 9045, "total_steps": 24897, "loss": 0.9469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023524749206843586, "epoch": 1.09, "percentage": 36.33, "elapsed_time": "4 days, 6:22:55", "remaining_time": "7 days, 11:25:55"} +{"current_steps": 9050, "total_steps": 24897, "loss": 0.881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023516280152146454, "epoch": 1.09, "percentage": 36.35, "elapsed_time": "4 days, 6:26:37", "remaining_time": "7 days, 11:23:02"} +{"current_steps": 9055, "total_steps": 24897, "loss": 0.8915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023507807089405064, "epoch": 1.09, "percentage": 36.37, "elapsed_time": "4 days, 6:30:19", "remaining_time": "7 days, 11:20:10"} +{"current_steps": 9060, "total_steps": 24897, "loss": 0.8677, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023499330022607124, "epoch": 1.09, "percentage": 36.39, "elapsed_time": "4 days, 6:34:00", "remaining_time": "7 days, 11:17:17"} +{"current_steps": 9065, "total_steps": 24897, "loss": 0.8538, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002349084895574222, "epoch": 1.09, "percentage": 36.41, "elapsed_time": "4 days, 6:37:41", "remaining_time": "7 days, 11:14:24"} +{"current_steps": 9070, "total_steps": 24897, "loss": 0.8222, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023482363892801827, "epoch": 1.09, "percentage": 36.43, "elapsed_time": "4 days, 6:41:23", "remaining_time": "7 days, 11:11:32"} +{"current_steps": 9075, "total_steps": 24897, "loss": 0.8996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023473874837779294, "epoch": 1.09, "percentage": 36.45, "elapsed_time": "4 days, 6:45:04", "remaining_time": "7 days, 11:08:38"} +{"current_steps": 9080, "total_steps": 24897, "loss": 0.8708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002346538179466985, "epoch": 1.09, "percentage": 36.47, "elapsed_time": "4 days, 6:48:46", "remaining_time": "7 days, 11:05:45"} +{"current_steps": 9085, "total_steps": 24897, "loss": 0.9058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023456884767470614, "epoch": 1.09, "percentage": 36.49, "elapsed_time": "4 days, 6:52:28", "remaining_time": "7 days, 11:02:52"} +{"current_steps": 9090, "total_steps": 24897, "loss": 0.9029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002344838376018056, "epoch": 1.1, "percentage": 36.51, "elapsed_time": "4 days, 6:56:09", "remaining_time": "7 days, 10:59:59"} +{"current_steps": 9095, "total_steps": 24897, "loss": 0.9057, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023439878776800542, "epoch": 1.1, "percentage": 36.53, "elapsed_time": "4 days, 6:59:51", "remaining_time": "7 days, 10:57:07"} +{"current_steps": 9100, "total_steps": 24897, "loss": 0.9132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023431369821333293, "epoch": 1.1, "percentage": 36.55, "elapsed_time": "4 days, 7:03:33", "remaining_time": "7 days, 10:54:14"} +{"current_steps": 9105, "total_steps": 24897, "loss": 0.8964, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023422856897783412, "epoch": 1.1, "percentage": 36.57, "elapsed_time": "4 days, 7:07:17", "remaining_time": "7 days, 10:51:26"} +{"current_steps": 9110, "total_steps": 24897, "loss": 0.851, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002341434001015736, "epoch": 1.1, "percentage": 36.59, "elapsed_time": "4 days, 7:10:59", "remaining_time": "7 days, 10:48:33"} +{"current_steps": 9115, "total_steps": 24897, "loss": 0.8652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023405819162463466, "epoch": 1.1, "percentage": 36.61, "elapsed_time": "4 days, 7:14:41", "remaining_time": "7 days, 10:45:41"} +{"current_steps": 9120, "total_steps": 24897, "loss": 0.8989, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023397294358711924, "epoch": 1.1, "percentage": 36.63, "elapsed_time": "4 days, 7:18:23", "remaining_time": "7 days, 10:42:48"} +{"current_steps": 9125, "total_steps": 24897, "loss": 1.0029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023388765602914792, "epoch": 1.1, "percentage": 36.65, "elapsed_time": "4 days, 7:22:05", "remaining_time": "7 days, 10:39:56"} +{"current_steps": 9130, "total_steps": 24897, "loss": 0.817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002338023289908599, "epoch": 1.1, "percentage": 36.67, "elapsed_time": "4 days, 7:25:46", "remaining_time": "7 days, 10:37:02"} +{"current_steps": 9135, "total_steps": 24897, "loss": 0.8765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023371696251241279, "epoch": 1.1, "percentage": 36.69, "elapsed_time": "4 days, 7:29:28", "remaining_time": "7 days, 10:34:09"} +{"current_steps": 9140, "total_steps": 24897, "loss": 0.8559, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000233631556633983, "epoch": 1.1, "percentage": 36.71, "elapsed_time": "4 days, 7:33:10", "remaining_time": "7 days, 10:31:16"} +{"current_steps": 9145, "total_steps": 24897, "loss": 0.8448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023354611139576536, "epoch": 1.1, "percentage": 36.73, "elapsed_time": "4 days, 7:36:51", "remaining_time": "7 days, 10:28:21"} +{"current_steps": 9150, "total_steps": 24897, "loss": 0.7871, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023346062683797324, "epoch": 1.1, "percentage": 36.75, "elapsed_time": "4 days, 7:40:32", "remaining_time": "7 days, 10:25:27"} +{"current_steps": 9155, "total_steps": 24897, "loss": 0.923, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002333751030008384, "epoch": 1.1, "percentage": 36.77, "elapsed_time": "4 days, 7:44:14", "remaining_time": "7 days, 10:22:33"} +{"current_steps": 9160, "total_steps": 24897, "loss": 0.792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002332895399246114, "epoch": 1.1, "percentage": 36.79, "elapsed_time": "4 days, 7:47:55", "remaining_time": "7 days, 10:19:38"} +{"current_steps": 9165, "total_steps": 24897, "loss": 0.8875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023320393764956086, "epoch": 1.1, "percentage": 36.81, "elapsed_time": "4 days, 7:51:36", "remaining_time": "7 days, 10:16:45"} +{"current_steps": 9170, "total_steps": 24897, "loss": 0.9119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023311829621597418, "epoch": 1.1, "percentage": 36.83, "elapsed_time": "4 days, 7:55:17", "remaining_time": "7 days, 10:13:49"} +{"current_steps": 9175, "total_steps": 24897, "loss": 0.908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023303261566415704, "epoch": 1.11, "percentage": 36.85, "elapsed_time": "4 days, 7:58:58", "remaining_time": "7 days, 10:10:54"} +{"current_steps": 9180, "total_steps": 24897, "loss": 0.8705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023294689603443352, "epoch": 1.11, "percentage": 36.87, "elapsed_time": "4 days, 8:02:40", "remaining_time": "7 days, 10:08:01"} +{"current_steps": 9185, "total_steps": 24897, "loss": 0.9589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023286113736714612, "epoch": 1.11, "percentage": 36.89, "elapsed_time": "4 days, 8:06:22", "remaining_time": "7 days, 10:05:08"} +{"current_steps": 9190, "total_steps": 24897, "loss": 0.8729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002327753397026558, "epoch": 1.11, "percentage": 36.91, "elapsed_time": "4 days, 8:10:04", "remaining_time": "7 days, 10:02:15"} +{"current_steps": 9195, "total_steps": 24897, "loss": 0.8785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002326895030813417, "epoch": 1.11, "percentage": 36.93, "elapsed_time": "4 days, 8:13:46", "remaining_time": "7 days, 9:59:21"} +{"current_steps": 9200, "total_steps": 24897, "loss": 0.8641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002326036275436014, "epoch": 1.11, "percentage": 36.95, "elapsed_time": "4 days, 8:17:27", "remaining_time": "7 days, 9:56:27"} +{"current_steps": 9205, "total_steps": 24897, "loss": 0.8185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023251771312985084, "epoch": 1.11, "percentage": 36.97, "elapsed_time": "4 days, 8:21:12", "remaining_time": "7 days, 9:53:39"} +{"current_steps": 9210, "total_steps": 24897, "loss": 0.8201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002324317598805241, "epoch": 1.11, "percentage": 36.99, "elapsed_time": "4 days, 8:24:55", "remaining_time": "7 days, 9:50:46"} +{"current_steps": 9215, "total_steps": 24897, "loss": 0.9468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023234576783607373, "epoch": 1.11, "percentage": 37.01, "elapsed_time": "4 days, 8:28:38", "remaining_time": "7 days, 9:47:54"} +{"current_steps": 9220, "total_steps": 24897, "loss": 0.9275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023225973703697037, "epoch": 1.11, "percentage": 37.03, "elapsed_time": "4 days, 8:32:21", "remaining_time": "7 days, 9:45:02"} +{"current_steps": 9225, "total_steps": 24897, "loss": 0.8471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000232173667523703, "epoch": 1.11, "percentage": 37.05, "elapsed_time": "4 days, 8:36:03", "remaining_time": "7 days, 9:42:09"} +{"current_steps": 9230, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023208755933677881, "epoch": 1.11, "percentage": 37.07, "elapsed_time": "4 days, 8:39:45", "remaining_time": "7 days, 9:39:15"} +{"current_steps": 9235, "total_steps": 24897, "loss": 0.8509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023200141251672314, "epoch": 1.11, "percentage": 37.09, "elapsed_time": "4 days, 8:43:26", "remaining_time": "7 days, 9:36:20"} +{"current_steps": 9240, "total_steps": 24897, "loss": 0.8789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002319152271040796, "epoch": 1.11, "percentage": 37.11, "elapsed_time": "4 days, 8:47:08", "remaining_time": "7 days, 9:33:26"} +{"current_steps": 9245, "total_steps": 24897, "loss": 0.8954, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023182900313940979, "epoch": 1.11, "percentage": 37.13, "elapsed_time": "4 days, 8:50:50", "remaining_time": "7 days, 9:30:32"} +{"current_steps": 9250, "total_steps": 24897, "loss": 0.9115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023174274066329367, "epoch": 1.11, "percentage": 37.15, "elapsed_time": "4 days, 8:54:32", "remaining_time": "7 days, 9:27:38"} +{"current_steps": 9255, "total_steps": 24897, "loss": 0.9437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023165643971632924, "epoch": 1.12, "percentage": 37.17, "elapsed_time": "4 days, 8:58:14", "remaining_time": "7 days, 9:24:44"} +{"current_steps": 9260, "total_steps": 24897, "loss": 0.9699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023157010033913252, "epoch": 1.12, "percentage": 37.19, "elapsed_time": "4 days, 9:01:56", "remaining_time": "7 days, 9:21:50"} +{"current_steps": 9265, "total_steps": 24897, "loss": 0.8747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002314837225723377, "epoch": 1.12, "percentage": 37.21, "elapsed_time": "4 days, 9:05:37", "remaining_time": "7 days, 9:18:55"} +{"current_steps": 9270, "total_steps": 24897, "loss": 0.891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002313973064565971, "epoch": 1.12, "percentage": 37.23, "elapsed_time": "4 days, 9:09:19", "remaining_time": "7 days, 9:16:00"} +{"current_steps": 9275, "total_steps": 24897, "loss": 0.8386, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023131085203258092, "epoch": 1.12, "percentage": 37.25, "elapsed_time": "4 days, 9:13:01", "remaining_time": "7 days, 9:13:06"} +{"current_steps": 9280, "total_steps": 24897, "loss": 0.9262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023122435934097755, "epoch": 1.12, "percentage": 37.27, "elapsed_time": "4 days, 9:16:43", "remaining_time": "7 days, 9:10:12"} +{"current_steps": 9285, "total_steps": 24897, "loss": 0.857, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023113782842249328, "epoch": 1.12, "percentage": 37.29, "elapsed_time": "4 days, 9:20:25", "remaining_time": "7 days, 9:07:18"} +{"current_steps": 9290, "total_steps": 24897, "loss": 0.894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023105125931785245, "epoch": 1.12, "percentage": 37.31, "elapsed_time": "4 days, 9:24:07", "remaining_time": "7 days, 9:04:23"} +{"current_steps": 9295, "total_steps": 24897, "loss": 0.8705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023096465206779736, "epoch": 1.12, "percentage": 37.33, "elapsed_time": "4 days, 9:27:49", "remaining_time": "7 days, 9:01:29"} +{"current_steps": 9300, "total_steps": 24897, "loss": 0.8935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023087800671308826, "epoch": 1.12, "percentage": 37.35, "elapsed_time": "4 days, 9:31:31", "remaining_time": "7 days, 8:58:34"} +{"current_steps": 9305, "total_steps": 24897, "loss": 0.8515, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002307913232945033, "epoch": 1.12, "percentage": 37.37, "elapsed_time": "4 days, 9:35:15", "remaining_time": "7 days, 8:55:43"} +{"current_steps": 9310, "total_steps": 24897, "loss": 0.9546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023070460185283862, "epoch": 1.12, "percentage": 37.39, "elapsed_time": "4 days, 9:38:57", "remaining_time": "7 days, 8:52:49"} +{"current_steps": 9315, "total_steps": 24897, "loss": 0.8708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023061784242890817, "epoch": 1.12, "percentage": 37.41, "elapsed_time": "4 days, 9:42:39", "remaining_time": "7 days, 8:49:54"} +{"current_steps": 9320, "total_steps": 24897, "loss": 0.857, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023053104506354387, "epoch": 1.12, "percentage": 37.43, "elapsed_time": "4 days, 9:46:20", "remaining_time": "7 days, 8:46:58"} +{"current_steps": 9325, "total_steps": 24897, "loss": 0.9459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002304442097975954, "epoch": 1.12, "percentage": 37.45, "elapsed_time": "4 days, 9:50:02", "remaining_time": "7 days, 8:44:03"} +{"current_steps": 9330, "total_steps": 24897, "loss": 0.8456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023035733667193034, "epoch": 1.12, "percentage": 37.47, "elapsed_time": "4 days, 9:53:44", "remaining_time": "7 days, 8:41:09"} +{"current_steps": 9335, "total_steps": 24897, "loss": 0.8259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023027042572743405, "epoch": 1.12, "percentage": 37.49, "elapsed_time": "4 days, 9:57:27", "remaining_time": "7 days, 8:38:15"} +{"current_steps": 9340, "total_steps": 24897, "loss": 1.0109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023018347700500973, "epoch": 1.13, "percentage": 37.51, "elapsed_time": "4 days, 10:01:08", "remaining_time": "7 days, 8:35:19"} +{"current_steps": 9345, "total_steps": 24897, "loss": 0.8927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023009649054557828, "epoch": 1.13, "percentage": 37.53, "elapsed_time": "4 days, 10:04:51", "remaining_time": "7 days, 8:32:25"} +{"current_steps": 9350, "total_steps": 24897, "loss": 0.9878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00023000946639007848, "epoch": 1.13, "percentage": 37.55, "elapsed_time": "4 days, 10:08:33", "remaining_time": "7 days, 8:29:30"} +{"current_steps": 9355, "total_steps": 24897, "loss": 0.8819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022992240457946674, "epoch": 1.13, "percentage": 37.57, "elapsed_time": "4 days, 10:12:15", "remaining_time": "7 days, 8:26:35"} +{"current_steps": 9360, "total_steps": 24897, "loss": 0.8673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022983530515471732, "epoch": 1.13, "percentage": 37.59, "elapsed_time": "4 days, 10:15:56", "remaining_time": "7 days, 8:23:39"} +{"current_steps": 9365, "total_steps": 24897, "loss": 0.9104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000229748168156822, "epoch": 1.13, "percentage": 37.61, "elapsed_time": "4 days, 10:19:39", "remaining_time": "7 days, 8:20:45"} +{"current_steps": 9370, "total_steps": 24897, "loss": 0.8806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022966099362679038, "epoch": 1.13, "percentage": 37.64, "elapsed_time": "4 days, 10:23:21", "remaining_time": "7 days, 8:17:50"} +{"current_steps": 9375, "total_steps": 24897, "loss": 0.9054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022957378160564973, "epoch": 1.13, "percentage": 37.66, "elapsed_time": "4 days, 10:27:03", "remaining_time": "7 days, 8:14:55"} +{"current_steps": 9380, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022948653213444487, "epoch": 1.13, "percentage": 37.68, "elapsed_time": "4 days, 10:30:45", "remaining_time": "7 days, 8:12:00"} +{"current_steps": 9385, "total_steps": 24897, "loss": 0.9658, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022939924525423834, "epoch": 1.13, "percentage": 37.7, "elapsed_time": "4 days, 10:34:27", "remaining_time": "7 days, 8:09:05"} +{"current_steps": 9390, "total_steps": 24897, "loss": 0.9179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022931192100611022, "epoch": 1.13, "percentage": 37.72, "elapsed_time": "4 days, 10:38:09", "remaining_time": "7 days, 8:06:09"} +{"current_steps": 9395, "total_steps": 24897, "loss": 0.95, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002292245594311582, "epoch": 1.13, "percentage": 37.74, "elapsed_time": "4 days, 10:41:51", "remaining_time": "7 days, 8:03:13"} +{"current_steps": 9400, "total_steps": 24897, "loss": 0.8376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022913716057049757, "epoch": 1.13, "percentage": 37.76, "elapsed_time": "4 days, 10:45:33", "remaining_time": "7 days, 8:00:18"} +{"current_steps": 9405, "total_steps": 24897, "loss": 0.9291, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002290497244652611, "epoch": 1.13, "percentage": 37.78, "elapsed_time": "4 days, 10:49:21", "remaining_time": "7 days, 7:57:32"} +{"current_steps": 9410, "total_steps": 24897, "loss": 0.8927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022896225115659913, "epoch": 1.13, "percentage": 37.8, "elapsed_time": "4 days, 10:53:04", "remaining_time": "7 days, 7:54:39"} +{"current_steps": 9415, "total_steps": 24897, "loss": 0.8168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022887474068567952, "epoch": 1.13, "percentage": 37.82, "elapsed_time": "4 days, 10:56:46", "remaining_time": "7 days, 7:51:44"} +{"current_steps": 9420, "total_steps": 24897, "loss": 0.9301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002287871930936876, "epoch": 1.14, "percentage": 37.84, "elapsed_time": "4 days, 11:00:29", "remaining_time": "7 days, 7:48:49"} +{"current_steps": 9425, "total_steps": 24897, "loss": 0.8611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022869960842182614, "epoch": 1.14, "percentage": 37.86, "elapsed_time": "4 days, 11:04:10", "remaining_time": "7 days, 7:45:52"} +{"current_steps": 9430, "total_steps": 24897, "loss": 0.9485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022861198671131542, "epoch": 1.14, "percentage": 37.88, "elapsed_time": "4 days, 11:07:53", "remaining_time": "7 days, 7:42:58"} +{"current_steps": 9435, "total_steps": 24897, "loss": 0.8949, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022852432800339313, "epoch": 1.14, "percentage": 37.9, "elapsed_time": "4 days, 11:11:35", "remaining_time": "7 days, 7:40:02"} +{"current_steps": 9440, "total_steps": 24897, "loss": 0.8333, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022843663233931442, "epoch": 1.14, "percentage": 37.92, "elapsed_time": "4 days, 11:15:17", "remaining_time": "7 days, 7:37:07"} +{"current_steps": 9445, "total_steps": 24897, "loss": 0.8102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002283488997603517, "epoch": 1.14, "percentage": 37.94, "elapsed_time": "4 days, 11:18:59", "remaining_time": "7 days, 7:34:10"} +{"current_steps": 9450, "total_steps": 24897, "loss": 0.8408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022826113030779486, "epoch": 1.14, "percentage": 37.96, "elapsed_time": "4 days, 11:22:40", "remaining_time": "7 days, 7:31:13"} +{"current_steps": 9455, "total_steps": 24897, "loss": 0.81, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022817332402295113, "epoch": 1.14, "percentage": 37.98, "elapsed_time": "4 days, 11:26:23", "remaining_time": "7 days, 7:28:18"} +{"current_steps": 9460, "total_steps": 24897, "loss": 0.896, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022808548094714506, "epoch": 1.14, "percentage": 38.0, "elapsed_time": "4 days, 11:30:06", "remaining_time": "7 days, 7:25:24"} +{"current_steps": 9465, "total_steps": 24897, "loss": 0.878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002279976011217185, "epoch": 1.14, "percentage": 38.02, "elapsed_time": "4 days, 11:33:48", "remaining_time": "7 days, 7:22:28"} +{"current_steps": 9470, "total_steps": 24897, "loss": 0.7833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022790968458803065, "epoch": 1.14, "percentage": 38.04, "elapsed_time": "4 days, 11:37:30", "remaining_time": "7 days, 7:19:31"} +{"current_steps": 9475, "total_steps": 24897, "loss": 0.8938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022782173138745793, "epoch": 1.14, "percentage": 38.06, "elapsed_time": "4 days, 11:41:12", "remaining_time": "7 days, 7:16:35"} +{"current_steps": 9480, "total_steps": 24897, "loss": 0.8603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022773374156139406, "epoch": 1.14, "percentage": 38.08, "elapsed_time": "4 days, 11:44:54", "remaining_time": "7 days, 7:13:39"} +{"current_steps": 9485, "total_steps": 24897, "loss": 0.8637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022764571515124994, "epoch": 1.14, "percentage": 38.1, "elapsed_time": "4 days, 11:48:36", "remaining_time": "7 days, 7:10:42"} +{"current_steps": 9490, "total_steps": 24897, "loss": 0.893, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022755765219845372, "epoch": 1.14, "percentage": 38.12, "elapsed_time": "4 days, 11:52:17", "remaining_time": "7 days, 7:07:45"} +{"current_steps": 9495, "total_steps": 24897, "loss": 0.8524, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022746955274445077, "epoch": 1.14, "percentage": 38.14, "elapsed_time": "4 days, 11:56:00", "remaining_time": "7 days, 7:04:50"} +{"current_steps": 9500, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002273814168307036, "epoch": 1.14, "percentage": 38.16, "elapsed_time": "4 days, 11:59:42", "remaining_time": "7 days, 7:01:54"} +{"current_steps": 9505, "total_steps": 24897, "loss": 0.9581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022729324449869198, "epoch": 1.15, "percentage": 38.18, "elapsed_time": "4 days, 12:03:29", "remaining_time": "7 days, 6:59:06"} +{"current_steps": 9510, "total_steps": 24897, "loss": 0.8444, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002272050357899126, "epoch": 1.15, "percentage": 38.2, "elapsed_time": "4 days, 12:07:13", "remaining_time": "7 days, 6:56:11"} +{"current_steps": 9515, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022711679074587953, "epoch": 1.15, "percentage": 38.22, "elapsed_time": "4 days, 12:10:54", "remaining_time": "7 days, 6:53:15"} +{"current_steps": 9520, "total_steps": 24897, "loss": 0.9183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002270285094081237, "epoch": 1.15, "percentage": 38.24, "elapsed_time": "4 days, 12:14:37", "remaining_time": "7 days, 6:50:19"} +{"current_steps": 9525, "total_steps": 24897, "loss": 0.8944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022694019181819337, "epoch": 1.15, "percentage": 38.26, "elapsed_time": "4 days, 12:18:18", "remaining_time": "7 days, 6:47:21"} +{"current_steps": 9530, "total_steps": 24897, "loss": 0.86, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002268518380176536, "epoch": 1.15, "percentage": 38.28, "elapsed_time": "4 days, 12:22:02", "remaining_time": "7 days, 6:44:26"} +{"current_steps": 9535, "total_steps": 24897, "loss": 0.9143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022676344804808675, "epoch": 1.15, "percentage": 38.3, "elapsed_time": "4 days, 12:25:43", "remaining_time": "7 days, 6:41:29"} +{"current_steps": 9540, "total_steps": 24897, "loss": 0.8527, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022667502195109198, "epoch": 1.15, "percentage": 38.32, "elapsed_time": "4 days, 12:29:25", "remaining_time": "7 days, 6:38:32"} +{"current_steps": 9545, "total_steps": 24897, "loss": 0.9313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022658655976828557, "epoch": 1.15, "percentage": 38.34, "elapsed_time": "4 days, 12:33:08", "remaining_time": "7 days, 6:35:36"} +{"current_steps": 9550, "total_steps": 24897, "loss": 0.9187, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022649806154130078, "epoch": 1.15, "percentage": 38.36, "elapsed_time": "4 days, 12:36:49", "remaining_time": "7 days, 6:32:38"} +{"current_steps": 9555, "total_steps": 24897, "loss": 0.8408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022640952731178786, "epoch": 1.15, "percentage": 38.38, "elapsed_time": "4 days, 12:40:31", "remaining_time": "7 days, 6:29:41"} +{"current_steps": 9560, "total_steps": 24897, "loss": 0.8638, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022632095712141382, "epoch": 1.15, "percentage": 38.4, "elapsed_time": "4 days, 12:44:13", "remaining_time": "7 days, 6:26:43"} +{"current_steps": 9565, "total_steps": 24897, "loss": 0.8963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002262323510118629, "epoch": 1.15, "percentage": 38.42, "elapsed_time": "4 days, 12:47:55", "remaining_time": "7 days, 6:23:48"} +{"current_steps": 9570, "total_steps": 24897, "loss": 0.8791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002261437090248359, "epoch": 1.15, "percentage": 38.44, "elapsed_time": "4 days, 12:51:37", "remaining_time": "7 days, 6:20:50"} +{"current_steps": 9575, "total_steps": 24897, "loss": 0.8647, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022605503120205086, "epoch": 1.15, "percentage": 38.46, "elapsed_time": "4 days, 12:55:19", "remaining_time": "7 days, 6:17:53"} +{"current_steps": 9580, "total_steps": 24897, "loss": 0.9185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002259663175852424, "epoch": 1.15, "percentage": 38.48, "elapsed_time": "4 days, 12:59:00", "remaining_time": "7 days, 6:14:54"} +{"current_steps": 9585, "total_steps": 24897, "loss": 0.8481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022587756821616214, "epoch": 1.15, "percentage": 38.5, "elapsed_time": "4 days, 13:02:42", "remaining_time": "7 days, 6:11:57"} +{"current_steps": 9590, "total_steps": 24897, "loss": 0.9085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022578878313657844, "epoch": 1.16, "percentage": 38.52, "elapsed_time": "4 days, 13:06:24", "remaining_time": "7 days, 6:09:00"} +{"current_steps": 9595, "total_steps": 24897, "loss": 0.8727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022569996238827654, "epoch": 1.16, "percentage": 38.54, "elapsed_time": "4 days, 13:10:07", "remaining_time": "7 days, 6:06:04"} +{"current_steps": 9600, "total_steps": 24897, "loss": 0.8425, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022561110601305838, "epoch": 1.16, "percentage": 38.56, "elapsed_time": "4 days, 13:13:50", "remaining_time": "7 days, 6:03:07"} +{"current_steps": 9605, "total_steps": 24897, "loss": 0.9436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002255222140527428, "epoch": 1.16, "percentage": 38.58, "elapsed_time": "4 days, 13:17:34", "remaining_time": "7 days, 6:00:14"} +{"current_steps": 9610, "total_steps": 24897, "loss": 0.9691, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002254332865491653, "epoch": 1.16, "percentage": 38.6, "elapsed_time": "4 days, 13:21:17", "remaining_time": "7 days, 5:57:17"} +{"current_steps": 9615, "total_steps": 24897, "loss": 0.9306, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000225344323544178, "epoch": 1.16, "percentage": 38.62, "elapsed_time": "4 days, 13:24:59", "remaining_time": "7 days, 5:54:20"} +{"current_steps": 9620, "total_steps": 24897, "loss": 0.9796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022525532507965004, "epoch": 1.16, "percentage": 38.64, "elapsed_time": "4 days, 13:28:41", "remaining_time": "7 days, 5:51:22"} +{"current_steps": 9625, "total_steps": 24897, "loss": 0.8913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002251662911974669, "epoch": 1.16, "percentage": 38.66, "elapsed_time": "4 days, 13:32:23", "remaining_time": "7 days, 5:48:24"} +{"current_steps": 9630, "total_steps": 24897, "loss": 0.8984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002250772219395309, "epoch": 1.16, "percentage": 38.68, "elapsed_time": "4 days, 13:36:05", "remaining_time": "7 days, 5:45:27"} +{"current_steps": 9635, "total_steps": 24897, "loss": 0.8861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022498811734776103, "epoch": 1.16, "percentage": 38.7, "elapsed_time": "4 days, 13:39:47", "remaining_time": "7 days, 5:42:30"} +{"current_steps": 9640, "total_steps": 24897, "loss": 0.8482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002248989774640929, "epoch": 1.16, "percentage": 38.72, "elapsed_time": "4 days, 13:43:29", "remaining_time": "7 days, 5:39:31"} +{"current_steps": 9645, "total_steps": 24897, "loss": 0.8741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002248098023304786, "epoch": 1.16, "percentage": 38.74, "elapsed_time": "4 days, 13:47:11", "remaining_time": "7 days, 5:36:35"} +{"current_steps": 9650, "total_steps": 24897, "loss": 0.8486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022472059198888698, "epoch": 1.16, "percentage": 38.76, "elapsed_time": "4 days, 13:50:54", "remaining_time": "7 days, 5:33:37"} +{"current_steps": 9655, "total_steps": 24897, "loss": 0.9675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002246313464813034, "epoch": 1.16, "percentage": 38.78, "elapsed_time": "4 days, 13:54:35", "remaining_time": "7 days, 5:30:39"} +{"current_steps": 9660, "total_steps": 24897, "loss": 0.8038, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022454206584972971, "epoch": 1.16, "percentage": 38.8, "elapsed_time": "4 days, 13:58:18", "remaining_time": "7 days, 5:27:41"} +{"current_steps": 9665, "total_steps": 24897, "loss": 0.9025, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022445275013618444, "epoch": 1.16, "percentage": 38.82, "elapsed_time": "4 days, 14:01:59", "remaining_time": "7 days, 5:24:42"} +{"current_steps": 9670, "total_steps": 24897, "loss": 0.8884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022436339938270236, "epoch": 1.17, "percentage": 38.84, "elapsed_time": "4 days, 14:05:42", "remaining_time": "7 days, 5:21:46"} +{"current_steps": 9675, "total_steps": 24897, "loss": 0.8695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022427401363133502, "epoch": 1.17, "percentage": 38.86, "elapsed_time": "4 days, 14:09:24", "remaining_time": "7 days, 5:18:48"} +{"current_steps": 9680, "total_steps": 24897, "loss": 0.8461, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002241845929241503, "epoch": 1.17, "percentage": 38.88, "elapsed_time": "4 days, 14:13:06", "remaining_time": "7 days, 5:15:49"} +{"current_steps": 9685, "total_steps": 24897, "loss": 1.0162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022409513730323256, "epoch": 1.17, "percentage": 38.9, "elapsed_time": "4 days, 14:16:47", "remaining_time": "7 days, 5:12:49"} +{"current_steps": 9690, "total_steps": 24897, "loss": 0.899, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022400564681068264, "epoch": 1.17, "percentage": 38.92, "elapsed_time": "4 days, 14:20:28", "remaining_time": "7 days, 5:09:50"} +{"current_steps": 9695, "total_steps": 24897, "loss": 0.8847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022391612148861764, "epoch": 1.17, "percentage": 38.94, "elapsed_time": "4 days, 14:24:10", "remaining_time": "7 days, 5:06:52"} +{"current_steps": 9700, "total_steps": 24897, "loss": 0.9079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022382656137917117, "epoch": 1.17, "percentage": 38.96, "elapsed_time": "4 days, 14:27:52", "remaining_time": "7 days, 5:03:54"} +{"current_steps": 9705, "total_steps": 24897, "loss": 0.9551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002237369665244932, "epoch": 1.17, "percentage": 38.98, "elapsed_time": "4 days, 14:31:37", "remaining_time": "7 days, 5:01:00"} +{"current_steps": 9710, "total_steps": 24897, "loss": 0.9265, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022364733696675007, "epoch": 1.17, "percentage": 39.0, "elapsed_time": "4 days, 14:35:20", "remaining_time": "7 days, 4:58:03"} +{"current_steps": 9715, "total_steps": 24897, "loss": 0.9568, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022355767274812442, "epoch": 1.17, "percentage": 39.02, "elapsed_time": "4 days, 14:39:02", "remaining_time": "7 days, 4:55:04"} +{"current_steps": 9720, "total_steps": 24897, "loss": 0.8029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002234679739108152, "epoch": 1.17, "percentage": 39.04, "elapsed_time": "4 days, 14:42:44", "remaining_time": "7 days, 4:52:06"} +{"current_steps": 9725, "total_steps": 24897, "loss": 0.9675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022337824049703764, "epoch": 1.17, "percentage": 39.06, "elapsed_time": "4 days, 14:46:27", "remaining_time": "7 days, 4:49:09"} +{"current_steps": 9730, "total_steps": 24897, "loss": 0.8846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022328847254902333, "epoch": 1.17, "percentage": 39.08, "elapsed_time": "4 days, 14:50:09", "remaining_time": "7 days, 4:46:10"} +{"current_steps": 9735, "total_steps": 24897, "loss": 0.8575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022319867010901998, "epoch": 1.17, "percentage": 39.1, "elapsed_time": "4 days, 14:53:50", "remaining_time": "7 days, 4:43:10"} +{"current_steps": 9740, "total_steps": 24897, "loss": 0.8715, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002231088332192916, "epoch": 1.17, "percentage": 39.12, "elapsed_time": "4 days, 14:57:32", "remaining_time": "7 days, 4:40:11"} +{"current_steps": 9745, "total_steps": 24897, "loss": 0.8612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022301896192211847, "epoch": 1.17, "percentage": 39.14, "elapsed_time": "4 days, 15:01:14", "remaining_time": "7 days, 4:37:13"} +{"current_steps": 9750, "total_steps": 24897, "loss": 0.8996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022292905625979694, "epoch": 1.17, "percentage": 39.16, "elapsed_time": "4 days, 15:04:56", "remaining_time": "7 days, 4:34:14"} +{"current_steps": 9755, "total_steps": 24897, "loss": 0.8955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002228391162746397, "epoch": 1.18, "percentage": 39.18, "elapsed_time": "4 days, 15:08:38", "remaining_time": "7 days, 4:31:16"} +{"current_steps": 9760, "total_steps": 24897, "loss": 0.9389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022274914200897533, "epoch": 1.18, "percentage": 39.2, "elapsed_time": "4 days, 15:12:21", "remaining_time": "7 days, 4:28:17"} +{"current_steps": 9765, "total_steps": 24897, "loss": 0.8996, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002226591335051489, "epoch": 1.18, "percentage": 39.22, "elapsed_time": "4 days, 15:16:03", "remaining_time": "7 days, 4:25:20"} +{"current_steps": 9770, "total_steps": 24897, "loss": 0.855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022256909080552127, "epoch": 1.18, "percentage": 39.24, "elapsed_time": "4 days, 15:19:45", "remaining_time": "7 days, 4:22:20"} +{"current_steps": 9775, "total_steps": 24897, "loss": 0.908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022247901395246956, "epoch": 1.18, "percentage": 39.26, "elapsed_time": "4 days, 15:23:27", "remaining_time": "7 days, 4:19:21"} +{"current_steps": 9780, "total_steps": 24897, "loss": 0.9045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022238890298838696, "epoch": 1.18, "percentage": 39.28, "elapsed_time": "4 days, 15:27:10", "remaining_time": "7 days, 4:16:24"} +{"current_steps": 9785, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022229875795568262, "epoch": 1.18, "percentage": 39.3, "elapsed_time": "4 days, 15:30:40", "remaining_time": "7 days, 4:13:07"} +{"current_steps": 9790, "total_steps": 24897, "loss": 0.8546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022220857889678177, "epoch": 1.18, "percentage": 39.32, "elapsed_time": "4 days, 15:34:22", "remaining_time": "7 days, 4:10:07"} +{"current_steps": 9795, "total_steps": 24897, "loss": 0.8804, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022211836585412582, "epoch": 1.18, "percentage": 39.34, "elapsed_time": "4 days, 15:38:05", "remaining_time": "7 days, 4:07:09"} +{"current_steps": 9800, "total_steps": 24897, "loss": 0.8564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022202811887017188, "epoch": 1.18, "percentage": 39.36, "elapsed_time": "4 days, 15:41:48", "remaining_time": "7 days, 4:04:12"} +{"current_steps": 9805, "total_steps": 24897, "loss": 0.925, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022193783798739325, "epoch": 1.18, "percentage": 39.38, "elapsed_time": "4 days, 15:45:34", "remaining_time": "7 days, 4:01:19"} +{"current_steps": 9810, "total_steps": 24897, "loss": 0.8071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022184752324827902, "epoch": 1.18, "percentage": 39.4, "elapsed_time": "4 days, 15:49:17", "remaining_time": "7 days, 3:58:21"} +{"current_steps": 9815, "total_steps": 24897, "loss": 0.926, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002217571746953344, "epoch": 1.18, "percentage": 39.42, "elapsed_time": "4 days, 15:53:01", "remaining_time": "7 days, 3:55:25"} +{"current_steps": 9820, "total_steps": 24897, "loss": 0.9282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022166679237108037, "epoch": 1.18, "percentage": 39.44, "elapsed_time": "4 days, 15:56:44", "remaining_time": "7 days, 3:52:26"} +{"current_steps": 9825, "total_steps": 24897, "loss": 0.9823, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002215763763180539, "epoch": 1.18, "percentage": 39.46, "elapsed_time": "4 days, 16:00:28", "remaining_time": "7 days, 3:49:30"} +{"current_steps": 9830, "total_steps": 24897, "loss": 0.8077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022148592657880768, "epoch": 1.18, "percentage": 39.48, "elapsed_time": "4 days, 16:04:12", "remaining_time": "7 days, 3:46:34"} +{"current_steps": 9835, "total_steps": 24897, "loss": 0.8348, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022139544319591052, "epoch": 1.19, "percentage": 39.5, "elapsed_time": "4 days, 16:07:53", "remaining_time": "7 days, 3:43:34"} +{"current_steps": 9840, "total_steps": 24897, "loss": 0.854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022130492621194681, "epoch": 1.19, "percentage": 39.52, "elapsed_time": "4 days, 16:11:35", "remaining_time": "7 days, 3:40:34"} +{"current_steps": 9845, "total_steps": 24897, "loss": 1.018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022121437566951686, "epoch": 1.19, "percentage": 39.54, "elapsed_time": "4 days, 16:15:17", "remaining_time": "7 days, 3:37:34"} +{"current_steps": 9850, "total_steps": 24897, "loss": 0.8137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022112379161123673, "epoch": 1.19, "percentage": 39.56, "elapsed_time": "4 days, 16:18:59", "remaining_time": "7 days, 3:34:34"} +{"current_steps": 9855, "total_steps": 24897, "loss": 0.8465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022103317407973837, "epoch": 1.19, "percentage": 39.58, "elapsed_time": "4 days, 16:22:40", "remaining_time": "7 days, 3:31:33"} +{"current_steps": 9860, "total_steps": 24897, "loss": 0.9207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022094252311766929, "epoch": 1.19, "percentage": 39.6, "elapsed_time": "4 days, 16:26:20", "remaining_time": "7 days, 3:28:31"} +{"current_steps": 9865, "total_steps": 24897, "loss": 0.9247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022085183876769293, "epoch": 1.19, "percentage": 39.62, "elapsed_time": "4 days, 16:30:00", "remaining_time": "7 days, 3:25:28"} +{"current_steps": 9870, "total_steps": 24897, "loss": 0.901, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022076112107248833, "epoch": 1.19, "percentage": 39.64, "elapsed_time": "4 days, 16:33:39", "remaining_time": "7 days, 3:22:24"} +{"current_steps": 9875, "total_steps": 24897, "loss": 0.9053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022067037007475026, "epoch": 1.19, "percentage": 39.66, "elapsed_time": "4 days, 16:37:18", "remaining_time": "7 days, 3:19:19"} +{"current_steps": 9880, "total_steps": 24897, "loss": 0.9464, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022057958581718915, "epoch": 1.19, "percentage": 39.68, "elapsed_time": "4 days, 16:40:57", "remaining_time": "7 days, 3:16:14"} +{"current_steps": 9885, "total_steps": 24897, "loss": 0.8626, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022048876834253103, "epoch": 1.19, "percentage": 39.7, "elapsed_time": "4 days, 16:44:36", "remaining_time": "7 days, 3:13:10"} +{"current_steps": 9890, "total_steps": 24897, "loss": 0.8706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022039791769351772, "epoch": 1.19, "percentage": 39.72, "elapsed_time": "4 days, 16:48:14", "remaining_time": "7 days, 3:10:04"} +{"current_steps": 9895, "total_steps": 24897, "loss": 0.847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022030703391290646, "epoch": 1.19, "percentage": 39.74, "elapsed_time": "4 days, 16:51:52", "remaining_time": "7 days, 3:06:58"} +{"current_steps": 9900, "total_steps": 24897, "loss": 0.9132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022021611704347026, "epoch": 1.19, "percentage": 39.76, "elapsed_time": "4 days, 16:55:31", "remaining_time": "7 days, 3:03:53"} +{"current_steps": 9905, "total_steps": 24897, "loss": 0.9286, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022012516712799756, "epoch": 1.19, "percentage": 39.78, "elapsed_time": "4 days, 16:59:11", "remaining_time": "7 days, 3:00:51"} +{"current_steps": 9910, "total_steps": 24897, "loss": 0.885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00022003418420929243, "epoch": 1.19, "percentage": 39.8, "elapsed_time": "4 days, 17:02:51", "remaining_time": "7 days, 2:57:47"} +{"current_steps": 9915, "total_steps": 24897, "loss": 0.9331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021994316833017443, "epoch": 1.19, "percentage": 39.82, "elapsed_time": "4 days, 17:06:31", "remaining_time": "7 days, 2:54:43"} +{"current_steps": 9920, "total_steps": 24897, "loss": 1.0044, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021987033192416743, "epoch": 1.2, "percentage": 39.84, "elapsed_time": "4 days, 17:10:09", "remaining_time": "7 days, 2:51:38"} +{"current_steps": 9925, "total_steps": 24897, "loss": 0.8667, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021977925682426118, "epoch": 1.2, "percentage": 39.86, "elapsed_time": "4 days, 17:13:48", "remaining_time": "7 days, 2:48:33"} +{"current_steps": 9930, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021968814888391935, "epoch": 1.2, "percentage": 39.88, "elapsed_time": "4 days, 17:17:26", "remaining_time": "7 days, 2:45:26"} +{"current_steps": 9935, "total_steps": 24897, "loss": 0.9041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021959700814602035, "epoch": 1.2, "percentage": 39.9, "elapsed_time": "4 days, 17:21:03", "remaining_time": "7 days, 2:42:19"} +{"current_steps": 9940, "total_steps": 24897, "loss": 0.8797, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002195058346534581, "epoch": 1.2, "percentage": 39.92, "elapsed_time": "4 days, 17:24:40", "remaining_time": "7 days, 2:39:11"} +{"current_steps": 9945, "total_steps": 24897, "loss": 0.9141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021941462844914182, "epoch": 1.2, "percentage": 39.94, "elapsed_time": "4 days, 17:28:18", "remaining_time": "7 days, 2:36:04"} +{"current_steps": 9950, "total_steps": 24897, "loss": 0.9015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021932338957599625, "epoch": 1.2, "percentage": 39.96, "elapsed_time": "4 days, 17:31:56", "remaining_time": "7 days, 2:32:58"} +{"current_steps": 9955, "total_steps": 24897, "loss": 0.8923, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021923211807696133, "epoch": 1.2, "percentage": 39.98, "elapsed_time": "4 days, 17:35:34", "remaining_time": "7 days, 2:29:52"} +{"current_steps": 9960, "total_steps": 24897, "loss": 0.8958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021914081399499258, "epoch": 1.2, "percentage": 40.0, "elapsed_time": "4 days, 17:39:12", "remaining_time": "7 days, 2:26:46"} +{"current_steps": 9965, "total_steps": 24897, "loss": 1.023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021904947737306065, "epoch": 1.2, "percentage": 40.02, "elapsed_time": "4 days, 17:42:51", "remaining_time": "7 days, 2:23:40"} +{"current_steps": 9970, "total_steps": 24897, "loss": 0.9076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002189581082541516, "epoch": 1.2, "percentage": 40.04, "elapsed_time": "4 days, 17:46:29", "remaining_time": "7 days, 2:20:33"} +{"current_steps": 9975, "total_steps": 24897, "loss": 0.8026, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021886670668126674, "epoch": 1.2, "percentage": 40.07, "elapsed_time": "4 days, 17:50:06", "remaining_time": "7 days, 2:17:25"} +{"current_steps": 9980, "total_steps": 24897, "loss": 0.9282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021877527269742277, "epoch": 1.2, "percentage": 40.09, "elapsed_time": "4 days, 17:53:43", "remaining_time": "7 days, 2:14:18"} +{"current_steps": 9985, "total_steps": 24897, "loss": 0.907, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021868380634565147, "epoch": 1.2, "percentage": 40.11, "elapsed_time": "4 days, 17:57:20", "remaining_time": "7 days, 2:11:10"} +{"current_steps": 9990, "total_steps": 24897, "loss": 0.8245, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021859230766900004, "epoch": 1.2, "percentage": 40.13, "elapsed_time": "4 days, 18:00:57", "remaining_time": "7 days, 2:08:01"} +{"current_steps": 9995, "total_steps": 24897, "loss": 0.9177, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021850077671053072, "epoch": 1.2, "percentage": 40.15, "elapsed_time": "4 days, 18:04:35", "remaining_time": "7 days, 2:04:54"} +{"current_steps": 10000, "total_steps": 24897, "loss": 0.8566, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021840921351332107, "epoch": 1.2, "percentage": 40.17, "elapsed_time": "4 days, 18:08:11", "remaining_time": "7 days, 2:01:45"} +{"current_steps": 10005, "total_steps": 24897, "loss": 0.8671, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021831761812046363, "epoch": 1.21, "percentage": 40.19, "elapsed_time": "4 days, 18:11:51", "remaining_time": "7 days, 1:58:40"} +{"current_steps": 10010, "total_steps": 24897, "loss": 0.8348, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021822599057506648, "epoch": 1.21, "percentage": 40.21, "elapsed_time": "4 days, 18:15:28", "remaining_time": "7 days, 1:55:32"} +{"current_steps": 10015, "total_steps": 24897, "loss": 0.9228, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021813433092025236, "epoch": 1.21, "percentage": 40.23, "elapsed_time": "4 days, 18:19:05", "remaining_time": "7 days, 1:52:24"} +{"current_steps": 10020, "total_steps": 24897, "loss": 0.9471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021804263919915947, "epoch": 1.21, "percentage": 40.25, "elapsed_time": "4 days, 18:22:43", "remaining_time": "7 days, 1:49:17"} +{"current_steps": 10025, "total_steps": 24897, "loss": 0.959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021795091545494092, "epoch": 1.21, "percentage": 40.27, "elapsed_time": "4 days, 18:26:22", "remaining_time": "7 days, 1:46:12"} +{"current_steps": 10030, "total_steps": 24897, "loss": 0.8134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000217859159730765, "epoch": 1.21, "percentage": 40.29, "elapsed_time": "4 days, 18:30:01", "remaining_time": "7 days, 1:43:06"} +{"current_steps": 10035, "total_steps": 24897, "loss": 0.9223, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021776737206981498, "epoch": 1.21, "percentage": 40.31, "elapsed_time": "4 days, 18:33:41", "remaining_time": "7 days, 1:40:02"} +{"current_steps": 10040, "total_steps": 24897, "loss": 0.9064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002176755525152892, "epoch": 1.21, "percentage": 40.33, "elapsed_time": "4 days, 18:37:20", "remaining_time": "7 days, 1:36:57"} +{"current_steps": 10045, "total_steps": 24897, "loss": 0.8532, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021758370111040094, "epoch": 1.21, "percentage": 40.35, "elapsed_time": "4 days, 18:40:59", "remaining_time": "7 days, 1:33:52"} +{"current_steps": 10050, "total_steps": 24897, "loss": 0.8357, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021749181789837858, "epoch": 1.21, "percentage": 40.37, "elapsed_time": "4 days, 18:44:39", "remaining_time": "7 days, 1:30:47"} +{"current_steps": 10055, "total_steps": 24897, "loss": 0.929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021739990292246535, "epoch": 1.21, "percentage": 40.39, "elapsed_time": "4 days, 18:48:18", "remaining_time": "7 days, 1:27:42"} +{"current_steps": 10060, "total_steps": 24897, "loss": 0.9623, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021730795622591952, "epoch": 1.21, "percentage": 40.41, "elapsed_time": "4 days, 18:51:59", "remaining_time": "7 days, 1:24:38"} +{"current_steps": 10065, "total_steps": 24897, "loss": 0.7909, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021721597785201427, "epoch": 1.21, "percentage": 40.43, "elapsed_time": "4 days, 18:55:39", "remaining_time": "7 days, 1:21:35"} +{"current_steps": 10070, "total_steps": 24897, "loss": 0.8785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021712396784403772, "epoch": 1.21, "percentage": 40.45, "elapsed_time": "4 days, 18:59:20", "remaining_time": "7 days, 1:18:33"} +{"current_steps": 10075, "total_steps": 24897, "loss": 0.902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021703192624529272, "epoch": 1.21, "percentage": 40.47, "elapsed_time": "4 days, 19:03:01", "remaining_time": "7 days, 1:15:30"} +{"current_steps": 10080, "total_steps": 24897, "loss": 0.9083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002169398530990972, "epoch": 1.21, "percentage": 40.49, "elapsed_time": "4 days, 19:06:42", "remaining_time": "7 days, 1:12:27"} +{"current_steps": 10085, "total_steps": 24897, "loss": 0.8948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021684774844878376, "epoch": 1.22, "percentage": 40.51, "elapsed_time": "4 days, 19:10:24", "remaining_time": "7 days, 1:09:25"} +{"current_steps": 10090, "total_steps": 24897, "loss": 0.8743, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002167556123377, "epoch": 1.22, "percentage": 40.53, "elapsed_time": "4 days, 19:14:05", "remaining_time": "7 days, 1:06:23"} +{"current_steps": 10095, "total_steps": 24897, "loss": 0.8831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021666344480920818, "epoch": 1.22, "percentage": 40.55, "elapsed_time": "4 days, 19:17:48", "remaining_time": "7 days, 1:03:21"} +{"current_steps": 10100, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002165712459066854, "epoch": 1.22, "percentage": 40.57, "elapsed_time": "4 days, 19:21:28", "remaining_time": "7 days, 1:00:18"} +{"current_steps": 10105, "total_steps": 24897, "loss": 0.9109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021647901567352357, "epoch": 1.22, "percentage": 40.59, "elapsed_time": "4 days, 19:25:13", "remaining_time": "7 days, 0:57:21"} +{"current_steps": 10110, "total_steps": 24897, "loss": 0.9033, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021638675415312924, "epoch": 1.22, "percentage": 40.61, "elapsed_time": "4 days, 19:28:56", "remaining_time": "7 days, 0:54:20"} +{"current_steps": 10115, "total_steps": 24897, "loss": 0.9176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021629446138892377, "epoch": 1.22, "percentage": 40.63, "elapsed_time": "4 days, 19:32:38", "remaining_time": "7 days, 0:51:19"} +{"current_steps": 10120, "total_steps": 24897, "loss": 0.8718, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002162021374243432, "epoch": 1.22, "percentage": 40.65, "elapsed_time": "4 days, 19:36:20", "remaining_time": "7 days, 0:48:17"} +{"current_steps": 10125, "total_steps": 24897, "loss": 0.9289, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021610978230283823, "epoch": 1.22, "percentage": 40.67, "elapsed_time": "4 days, 19:40:01", "remaining_time": "7 days, 0:45:14"} +{"current_steps": 10130, "total_steps": 24897, "loss": 0.8465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002160173960678743, "epoch": 1.22, "percentage": 40.69, "elapsed_time": "4 days, 19:43:43", "remaining_time": "7 days, 0:42:12"} +{"current_steps": 10135, "total_steps": 24897, "loss": 0.9386, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021592497876293137, "epoch": 1.22, "percentage": 40.71, "elapsed_time": "4 days, 19:47:26", "remaining_time": "7 days, 0:39:11"} +{"current_steps": 10140, "total_steps": 24897, "loss": 0.8488, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002158325304315042, "epoch": 1.22, "percentage": 40.73, "elapsed_time": "4 days, 19:51:07", "remaining_time": "7 days, 0:36:08"} +{"current_steps": 10145, "total_steps": 24897, "loss": 0.8462, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021574005111710192, "epoch": 1.22, "percentage": 40.75, "elapsed_time": "4 days, 19:54:47", "remaining_time": "7 days, 0:33:04"} +{"current_steps": 10150, "total_steps": 24897, "loss": 0.8633, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021564754086324844, "epoch": 1.22, "percentage": 40.77, "elapsed_time": "4 days, 19:58:29", "remaining_time": "7 days, 0:30:02"} +{"current_steps": 10155, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021555499971348215, "epoch": 1.22, "percentage": 40.79, "elapsed_time": "4 days, 20:02:11", "remaining_time": "7 days, 0:26:59"} +{"current_steps": 10160, "total_steps": 24897, "loss": 0.8753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021546242771135597, "epoch": 1.22, "percentage": 40.81, "elapsed_time": "4 days, 20:05:52", "remaining_time": "7 days, 0:23:57"} +{"current_steps": 10165, "total_steps": 24897, "loss": 0.838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002153698249004374, "epoch": 1.22, "percentage": 40.83, "elapsed_time": "4 days, 20:09:34", "remaining_time": "7 days, 0:20:54"} +{"current_steps": 10170, "total_steps": 24897, "loss": 0.9157, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021527719132430833, "epoch": 1.23, "percentage": 40.85, "elapsed_time": "4 days, 20:13:15", "remaining_time": "7 days, 0:17:51"} +{"current_steps": 10175, "total_steps": 24897, "loss": 0.8678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021518452702656528, "epoch": 1.23, "percentage": 40.87, "elapsed_time": "4 days, 20:16:58", "remaining_time": "7 days, 0:14:50"} +{"current_steps": 10180, "total_steps": 24897, "loss": 0.8134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021509183205081905, "epoch": 1.23, "percentage": 40.89, "elapsed_time": "4 days, 20:20:39", "remaining_time": "7 days, 0:11:46"} +{"current_steps": 10185, "total_steps": 24897, "loss": 0.8509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021499910644069502, "epoch": 1.23, "percentage": 40.91, "elapsed_time": "4 days, 20:24:21", "remaining_time": "7 days, 0:08:44"} +{"current_steps": 10190, "total_steps": 24897, "loss": 0.8654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000214906350239833, "epoch": 1.23, "percentage": 40.93, "elapsed_time": "4 days, 20:28:03", "remaining_time": "7 days, 0:05:43"} +{"current_steps": 10195, "total_steps": 24897, "loss": 0.8315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021481356349188705, "epoch": 1.23, "percentage": 40.95, "elapsed_time": "4 days, 20:31:46", "remaining_time": "7 days, 0:02:40"} +{"current_steps": 10200, "total_steps": 24897, "loss": 0.851, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021472074624052573, "epoch": 1.23, "percentage": 40.97, "elapsed_time": "4 days, 20:35:26", "remaining_time": "6 days, 23:59:36"} +{"current_steps": 10205, "total_steps": 24897, "loss": 0.9826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002146278985294319, "epoch": 1.23, "percentage": 40.99, "elapsed_time": "4 days, 20:39:11", "remaining_time": "6 days, 23:56:37"} +{"current_steps": 10210, "total_steps": 24897, "loss": 0.8577, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002145350204023028, "epoch": 1.23, "percentage": 41.01, "elapsed_time": "4 days, 20:42:53", "remaining_time": "6 days, 23:53:35"} +{"current_steps": 10215, "total_steps": 24897, "loss": 0.9059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021444211190285001, "epoch": 1.23, "percentage": 41.03, "elapsed_time": "4 days, 20:46:34", "remaining_time": "6 days, 23:50:32"} +{"current_steps": 10220, "total_steps": 24897, "loss": 0.9248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021434917307479927, "epoch": 1.23, "percentage": 41.05, "elapsed_time": "4 days, 20:50:17", "remaining_time": "6 days, 23:47:30"} +{"current_steps": 10225, "total_steps": 24897, "loss": 0.8011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021425620396189071, "epoch": 1.23, "percentage": 41.07, "elapsed_time": "4 days, 20:53:58", "remaining_time": "6 days, 23:44:27"} +{"current_steps": 10230, "total_steps": 24897, "loss": 0.8772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002141632046078787, "epoch": 1.23, "percentage": 41.09, "elapsed_time": "4 days, 20:57:40", "remaining_time": "6 days, 23:41:24"} +{"current_steps": 10235, "total_steps": 24897, "loss": 0.8983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021407017505653176, "epoch": 1.23, "percentage": 41.11, "elapsed_time": "4 days, 21:01:23", "remaining_time": "6 days, 23:38:23"} +{"current_steps": 10240, "total_steps": 24897, "loss": 0.7669, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021397711535163275, "epoch": 1.23, "percentage": 41.13, "elapsed_time": "4 days, 21:05:06", "remaining_time": "6 days, 23:35:22"} +{"current_steps": 10245, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021388402553697863, "epoch": 1.23, "percentage": 41.15, "elapsed_time": "4 days, 21:08:49", "remaining_time": "6 days, 23:32:21"} +{"current_steps": 10250, "total_steps": 24897, "loss": 0.8472, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021379090565638064, "epoch": 1.24, "percentage": 41.17, "elapsed_time": "4 days, 21:12:32", "remaining_time": "6 days, 23:29:19"} +{"current_steps": 10255, "total_steps": 24897, "loss": 0.791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021369775575366397, "epoch": 1.24, "percentage": 41.19, "elapsed_time": "4 days, 21:16:14", "remaining_time": "6 days, 23:26:17"} +{"current_steps": 10260, "total_steps": 24897, "loss": 0.7792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021360457587266812, "epoch": 1.24, "percentage": 41.21, "elapsed_time": "4 days, 21:19:56", "remaining_time": "6 days, 23:23:13"} +{"current_steps": 10265, "total_steps": 24897, "loss": 0.9087, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021351136605724658, "epoch": 1.24, "percentage": 41.23, "elapsed_time": "4 days, 21:23:38", "remaining_time": "6 days, 23:20:12"} +{"current_steps": 10270, "total_steps": 24897, "loss": 0.8171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021341812635126706, "epoch": 1.24, "percentage": 41.25, "elapsed_time": "4 days, 21:27:20", "remaining_time": "6 days, 23:17:08"} +{"current_steps": 10275, "total_steps": 24897, "loss": 0.831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021332485679861123, "epoch": 1.24, "percentage": 41.27, "elapsed_time": "4 days, 21:31:02", "remaining_time": "6 days, 23:14:05"} +{"current_steps": 10280, "total_steps": 24897, "loss": 0.8665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002132315574431748, "epoch": 1.24, "percentage": 41.29, "elapsed_time": "4 days, 21:34:45", "remaining_time": "6 days, 23:11:04"} +{"current_steps": 10285, "total_steps": 24897, "loss": 0.8653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021313822832886762, "epoch": 1.24, "percentage": 41.31, "elapsed_time": "4 days, 21:38:28", "remaining_time": "6 days, 23:08:02"} +{"current_steps": 10290, "total_steps": 24897, "loss": 0.9074, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021304486949961344, "epoch": 1.24, "percentage": 41.33, "elapsed_time": "4 days, 21:42:10", "remaining_time": "6 days, 23:04:59"} +{"current_steps": 10295, "total_steps": 24897, "loss": 0.9282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021295148099935, "epoch": 1.24, "percentage": 41.35, "elapsed_time": "4 days, 21:45:52", "remaining_time": "6 days, 23:01:55"} +{"current_steps": 10300, "total_steps": 24897, "loss": 0.8985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021285806287202902, "epoch": 1.24, "percentage": 41.37, "elapsed_time": "4 days, 21:49:34", "remaining_time": "6 days, 22:58:53"} +{"current_steps": 10305, "total_steps": 24897, "loss": 0.8985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021276461516161622, "epoch": 1.24, "percentage": 41.39, "elapsed_time": "4 days, 21:53:22", "remaining_time": "6 days, 22:55:59"} +{"current_steps": 10310, "total_steps": 24897, "loss": 0.9173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002126711379120912, "epoch": 1.24, "percentage": 41.41, "elapsed_time": "4 days, 21:57:06", "remaining_time": "6 days, 22:52:57"} +{"current_steps": 10315, "total_steps": 24897, "loss": 0.9335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021257763116744744, "epoch": 1.24, "percentage": 41.43, "elapsed_time": "4 days, 22:00:49", "remaining_time": "6 days, 22:49:56"} +{"current_steps": 10320, "total_steps": 24897, "loss": 0.9115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002124840949716923, "epoch": 1.24, "percentage": 41.45, "elapsed_time": "4 days, 22:04:31", "remaining_time": "6 days, 22:46:53"} +{"current_steps": 10325, "total_steps": 24897, "loss": 0.9016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021239052936884703, "epoch": 1.24, "percentage": 41.47, "elapsed_time": "4 days, 22:08:14", "remaining_time": "6 days, 22:43:51"} +{"current_steps": 10330, "total_steps": 24897, "loss": 0.8282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002122969344029467, "epoch": 1.24, "percentage": 41.49, "elapsed_time": "4 days, 22:11:56", "remaining_time": "6 days, 22:40:48"} +{"current_steps": 10335, "total_steps": 24897, "loss": 0.8244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021220331011804022, "epoch": 1.25, "percentage": 41.51, "elapsed_time": "4 days, 22:15:38", "remaining_time": "6 days, 22:37:45"} +{"current_steps": 10340, "total_steps": 24897, "loss": 0.8655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021210965655819031, "epoch": 1.25, "percentage": 41.53, "elapsed_time": "4 days, 22:19:21", "remaining_time": "6 days, 22:34:43"} +{"current_steps": 10345, "total_steps": 24897, "loss": 0.9017, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021201597376747344, "epoch": 1.25, "percentage": 41.55, "elapsed_time": "4 days, 22:23:04", "remaining_time": "6 days, 22:31:40"} +{"current_steps": 10350, "total_steps": 24897, "loss": 0.8432, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021192226178997977, "epoch": 1.25, "percentage": 41.57, "elapsed_time": "4 days, 22:26:46", "remaining_time": "6 days, 22:28:37"} +{"current_steps": 10355, "total_steps": 24897, "loss": 0.8931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002118285206698134, "epoch": 1.25, "percentage": 41.59, "elapsed_time": "4 days, 22:30:29", "remaining_time": "6 days, 22:25:34"} +{"current_steps": 10360, "total_steps": 24897, "loss": 0.8431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002117347504510919, "epoch": 1.25, "percentage": 41.61, "elapsed_time": "4 days, 22:34:11", "remaining_time": "6 days, 22:22:31"} +{"current_steps": 10365, "total_steps": 24897, "loss": 0.8538, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021164095117794674, "epoch": 1.25, "percentage": 41.63, "elapsed_time": "4 days, 22:37:54", "remaining_time": "6 days, 22:19:28"} +{"current_steps": 10370, "total_steps": 24897, "loss": 0.9355, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021154712289452285, "epoch": 1.25, "percentage": 41.65, "elapsed_time": "4 days, 22:41:37", "remaining_time": "6 days, 22:16:26"} +{"current_steps": 10375, "total_steps": 24897, "loss": 0.9127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021145326564497903, "epoch": 1.25, "percentage": 41.67, "elapsed_time": "4 days, 22:45:19", "remaining_time": "6 days, 22:13:24"} +{"current_steps": 10380, "total_steps": 24897, "loss": 0.9235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021135937947348757, "epoch": 1.25, "percentage": 41.69, "elapsed_time": "4 days, 22:49:02", "remaining_time": "6 days, 22:10:21"} +{"current_steps": 10385, "total_steps": 24897, "loss": 0.8293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021126546442423453, "epoch": 1.25, "percentage": 41.71, "elapsed_time": "4 days, 22:52:45", "remaining_time": "6 days, 22:07:18"} +{"current_steps": 10390, "total_steps": 24897, "loss": 0.9249, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002111715205414193, "epoch": 1.25, "percentage": 41.73, "elapsed_time": "4 days, 22:56:27", "remaining_time": "6 days, 22:04:15"} +{"current_steps": 10395, "total_steps": 24897, "loss": 0.8638, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021107754786925512, "epoch": 1.25, "percentage": 41.75, "elapsed_time": "4 days, 23:00:10", "remaining_time": "6 days, 22:01:13"} +{"current_steps": 10400, "total_steps": 24897, "loss": 0.8379, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002109835464519685, "epoch": 1.25, "percentage": 41.77, "elapsed_time": "4 days, 23:03:53", "remaining_time": "6 days, 21:58:09"} +{"current_steps": 10405, "total_steps": 24897, "loss": 0.9148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021088951633379982, "epoch": 1.25, "percentage": 41.79, "elapsed_time": "4 days, 23:07:38", "remaining_time": "6 days, 21:55:11"} +{"current_steps": 10410, "total_steps": 24897, "loss": 0.9326, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002107954575590026, "epoch": 1.25, "percentage": 41.81, "elapsed_time": "4 days, 23:11:21", "remaining_time": "6 days, 21:52:08"} +{"current_steps": 10415, "total_steps": 24897, "loss": 0.8786, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021070137017184415, "epoch": 1.25, "percentage": 41.83, "elapsed_time": "4 days, 23:15:04", "remaining_time": "6 days, 21:49:04"} +{"current_steps": 10420, "total_steps": 24897, "loss": 0.8619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000210607254216605, "epoch": 1.26, "percentage": 41.85, "elapsed_time": "4 days, 23:18:48", "remaining_time": "6 days, 21:46:03"} +{"current_steps": 10425, "total_steps": 24897, "loss": 0.8595, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021051310973757936, "epoch": 1.26, "percentage": 41.87, "elapsed_time": "4 days, 23:22:30", "remaining_time": "6 days, 21:43:00"} +{"current_steps": 10430, "total_steps": 24897, "loss": 0.8809, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021041893677907473, "epoch": 1.26, "percentage": 41.89, "elapsed_time": "4 days, 23:26:12", "remaining_time": "6 days, 21:39:56"} +{"current_steps": 10435, "total_steps": 24897, "loss": 0.8569, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021032473538541195, "epoch": 1.26, "percentage": 41.91, "elapsed_time": "4 days, 23:29:55", "remaining_time": "6 days, 21:36:53"} +{"current_steps": 10440, "total_steps": 24897, "loss": 0.8429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002102305056009254, "epoch": 1.26, "percentage": 41.93, "elapsed_time": "4 days, 23:33:38", "remaining_time": "6 days, 21:33:50"} +{"current_steps": 10445, "total_steps": 24897, "loss": 0.8249, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021013624746996272, "epoch": 1.26, "percentage": 41.95, "elapsed_time": "4 days, 23:37:21", "remaining_time": "6 days, 21:30:47"} +{"current_steps": 10450, "total_steps": 24897, "loss": 0.9641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00021004196103688487, "epoch": 1.26, "percentage": 41.97, "elapsed_time": "4 days, 23:41:03", "remaining_time": "6 days, 21:27:44"} +{"current_steps": 10455, "total_steps": 24897, "loss": 0.8815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020994764634606628, "epoch": 1.26, "percentage": 41.99, "elapsed_time": "4 days, 23:44:45", "remaining_time": "6 days, 21:24:38"} +{"current_steps": 10460, "total_steps": 24897, "loss": 0.8908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002098533034418945, "epoch": 1.26, "percentage": 42.01, "elapsed_time": "4 days, 23:48:27", "remaining_time": "6 days, 21:21:35"} +{"current_steps": 10465, "total_steps": 24897, "loss": 0.864, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020975893236877048, "epoch": 1.26, "percentage": 42.03, "elapsed_time": "4 days, 23:52:10", "remaining_time": "6 days, 21:18:31"} +{"current_steps": 10470, "total_steps": 24897, "loss": 0.8971, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002096645331711083, "epoch": 1.26, "percentage": 42.05, "elapsed_time": "4 days, 23:55:53", "remaining_time": "6 days, 21:15:28"} +{"current_steps": 10475, "total_steps": 24897, "loss": 0.8435, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020957010589333546, "epoch": 1.26, "percentage": 42.07, "elapsed_time": "4 days, 23:59:35", "remaining_time": "6 days, 21:12:24"} +{"current_steps": 10480, "total_steps": 24897, "loss": 0.8609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020947565057989249, "epoch": 1.26, "percentage": 42.09, "elapsed_time": "5 days, 0:03:18", "remaining_time": "6 days, 21:09:21"} +{"current_steps": 10485, "total_steps": 24897, "loss": 0.9108, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020938116727523324, "epoch": 1.26, "percentage": 42.11, "elapsed_time": "5 days, 0:07:01", "remaining_time": "6 days, 21:06:18"} +{"current_steps": 10490, "total_steps": 24897, "loss": 0.8359, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002092866560238247, "epoch": 1.26, "percentage": 42.13, "elapsed_time": "5 days, 0:10:44", "remaining_time": "6 days, 21:03:14"} +{"current_steps": 10495, "total_steps": 24897, "loss": 0.8616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020919211687014697, "epoch": 1.26, "percentage": 42.15, "elapsed_time": "5 days, 0:14:27", "remaining_time": "6 days, 21:00:11"} +{"current_steps": 10500, "total_steps": 24897, "loss": 0.7911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020909754985869335, "epoch": 1.27, "percentage": 42.17, "elapsed_time": "5 days, 0:18:10", "remaining_time": "6 days, 20:57:08"} +{"current_steps": 10505, "total_steps": 24897, "loss": 0.8216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002090029550339702, "epoch": 1.27, "percentage": 42.19, "elapsed_time": "5 days, 0:21:55", "remaining_time": "6 days, 20:54:08"} +{"current_steps": 10510, "total_steps": 24897, "loss": 0.7892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020890833244049695, "epoch": 1.27, "percentage": 42.21, "elapsed_time": "5 days, 0:25:38", "remaining_time": "6 days, 20:51:05"} +{"current_steps": 10515, "total_steps": 24897, "loss": 0.9097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002088136821228062, "epoch": 1.27, "percentage": 42.23, "elapsed_time": "5 days, 0:29:21", "remaining_time": "6 days, 20:48:02"} +{"current_steps": 10520, "total_steps": 24897, "loss": 0.8725, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020871900412544345, "epoch": 1.27, "percentage": 42.25, "elapsed_time": "5 days, 0:32:59", "remaining_time": "6 days, 20:44:50"} +{"current_steps": 10525, "total_steps": 24897, "loss": 0.8717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020862429849296743, "epoch": 1.27, "percentage": 42.27, "elapsed_time": "5 days, 0:36:41", "remaining_time": "6 days, 20:41:46"} +{"current_steps": 10530, "total_steps": 24897, "loss": 0.8755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020852956526994963, "epoch": 1.27, "percentage": 42.29, "elapsed_time": "5 days, 0:40:24", "remaining_time": "6 days, 20:38:43"} +{"current_steps": 10535, "total_steps": 24897, "loss": 0.8789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020843480450097473, "epoch": 1.27, "percentage": 42.31, "elapsed_time": "5 days, 0:44:07", "remaining_time": "6 days, 20:35:40"} +{"current_steps": 10540, "total_steps": 24897, "loss": 0.818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002083400162306403, "epoch": 1.27, "percentage": 42.33, "elapsed_time": "5 days, 0:47:49", "remaining_time": "6 days, 20:32:35"} +{"current_steps": 10545, "total_steps": 24897, "loss": 0.8867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020824520050355681, "epoch": 1.27, "percentage": 42.35, "elapsed_time": "5 days, 0:51:32", "remaining_time": "6 days, 20:29:31"} +{"current_steps": 10550, "total_steps": 24897, "loss": 0.9067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020815035736434766, "epoch": 1.27, "percentage": 42.37, "elapsed_time": "5 days, 0:55:15", "remaining_time": "6 days, 20:26:27"} +{"current_steps": 10555, "total_steps": 24897, "loss": 0.8161, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020805548685764923, "epoch": 1.27, "percentage": 42.39, "elapsed_time": "5 days, 0:58:57", "remaining_time": "6 days, 20:23:23"} +{"current_steps": 10560, "total_steps": 24897, "loss": 0.8864, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020796058902811075, "epoch": 1.27, "percentage": 42.41, "elapsed_time": "5 days, 1:02:39", "remaining_time": "6 days, 20:20:18"} +{"current_steps": 10565, "total_steps": 24897, "loss": 0.881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020786566392039428, "epoch": 1.27, "percentage": 42.43, "elapsed_time": "5 days, 1:06:21", "remaining_time": "6 days, 20:17:12"} +{"current_steps": 10570, "total_steps": 24897, "loss": 0.8784, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020777071157917468, "epoch": 1.27, "percentage": 42.45, "elapsed_time": "5 days, 1:10:03", "remaining_time": "6 days, 20:14:08"} +{"current_steps": 10575, "total_steps": 24897, "loss": 0.9085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002076757320491397, "epoch": 1.27, "percentage": 42.47, "elapsed_time": "5 days, 1:13:46", "remaining_time": "6 days, 20:11:04"} +{"current_steps": 10580, "total_steps": 24897, "loss": 0.896, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020758072537498985, "epoch": 1.27, "percentage": 42.5, "elapsed_time": "5 days, 1:17:30", "remaining_time": "6 days, 20:08:01"} +{"current_steps": 10585, "total_steps": 24897, "loss": 0.9321, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020748569160143845, "epoch": 1.28, "percentage": 42.52, "elapsed_time": "5 days, 1:21:13", "remaining_time": "6 days, 20:04:57"} +{"current_steps": 10590, "total_steps": 24897, "loss": 0.9034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020739063077321155, "epoch": 1.28, "percentage": 42.54, "elapsed_time": "5 days, 1:24:55", "remaining_time": "6 days, 20:01:52"} +{"current_steps": 10595, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020729554293504794, "epoch": 1.28, "percentage": 42.56, "elapsed_time": "5 days, 1:28:39", "remaining_time": "6 days, 19:58:49"} +{"current_steps": 10600, "total_steps": 24897, "loss": 0.7867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020720042813169906, "epoch": 1.28, "percentage": 42.58, "elapsed_time": "5 days, 1:32:22", "remaining_time": "6 days, 19:55:45"} +{"current_steps": 10605, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020710528640792916, "epoch": 1.28, "percentage": 42.6, "elapsed_time": "5 days, 1:36:12", "remaining_time": "6 days, 19:52:51"} +{"current_steps": 10610, "total_steps": 24897, "loss": 0.9163, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002070101178085151, "epoch": 1.28, "percentage": 42.62, "elapsed_time": "5 days, 1:39:56", "remaining_time": "6 days, 19:49:47"} +{"current_steps": 10615, "total_steps": 24897, "loss": 0.872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002069149223782463, "epoch": 1.28, "percentage": 42.64, "elapsed_time": "5 days, 1:43:38", "remaining_time": "6 days, 19:46:42"} +{"current_steps": 10620, "total_steps": 24897, "loss": 0.9396, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020681970016192495, "epoch": 1.28, "percentage": 42.66, "elapsed_time": "5 days, 1:47:20", "remaining_time": "6 days, 19:43:37"} +{"current_steps": 10625, "total_steps": 24897, "loss": 0.9393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020672445120436582, "epoch": 1.28, "percentage": 42.68, "elapsed_time": "5 days, 1:51:03", "remaining_time": "6 days, 19:40:33"} +{"current_steps": 10630, "total_steps": 24897, "loss": 0.827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020662917555039616, "epoch": 1.28, "percentage": 42.7, "elapsed_time": "5 days, 1:54:47", "remaining_time": "6 days, 19:37:29"} +{"current_steps": 10635, "total_steps": 24897, "loss": 0.9111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020653387324485588, "epoch": 1.28, "percentage": 42.72, "elapsed_time": "5 days, 1:58:30", "remaining_time": "6 days, 19:34:26"} +{"current_steps": 10640, "total_steps": 24897, "loss": 0.9207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020643854433259742, "epoch": 1.28, "percentage": 42.74, "elapsed_time": "5 days, 2:02:13", "remaining_time": "6 days, 19:31:22"} +{"current_steps": 10645, "total_steps": 24897, "loss": 0.7711, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002063431888584858, "epoch": 1.28, "percentage": 42.76, "elapsed_time": "5 days, 2:05:56", "remaining_time": "6 days, 19:28:17"} +{"current_steps": 10650, "total_steps": 24897, "loss": 0.8474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002062478068673983, "epoch": 1.28, "percentage": 42.78, "elapsed_time": "5 days, 2:09:38", "remaining_time": "6 days, 19:25:12"} +{"current_steps": 10655, "total_steps": 24897, "loss": 0.9111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020615239840422506, "epoch": 1.28, "percentage": 42.8, "elapsed_time": "5 days, 2:13:21", "remaining_time": "6 days, 19:22:07"} +{"current_steps": 10660, "total_steps": 24897, "loss": 0.9088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020605696351386828, "epoch": 1.28, "percentage": 42.82, "elapsed_time": "5 days, 2:17:02", "remaining_time": "6 days, 19:19:01"} +{"current_steps": 10665, "total_steps": 24897, "loss": 0.8737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020596150224124293, "epoch": 1.29, "percentage": 42.84, "elapsed_time": "5 days, 2:20:46", "remaining_time": "6 days, 19:15:57"} +{"current_steps": 10670, "total_steps": 24897, "loss": 0.9555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020586601463127611, "epoch": 1.29, "percentage": 42.86, "elapsed_time": "5 days, 2:24:29", "remaining_time": "6 days, 19:12:53"} +{"current_steps": 10675, "total_steps": 24897, "loss": 0.9392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020577050072890764, "epoch": 1.29, "percentage": 42.88, "elapsed_time": "5 days, 2:28:12", "remaining_time": "6 days, 19:09:49"} +{"current_steps": 10680, "total_steps": 24897, "loss": 0.8406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020567496057908948, "epoch": 1.29, "percentage": 42.9, "elapsed_time": "5 days, 2:31:55", "remaining_time": "6 days, 19:06:44"} +{"current_steps": 10685, "total_steps": 24897, "loss": 0.7473, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002055793942267859, "epoch": 1.29, "percentage": 42.92, "elapsed_time": "5 days, 2:35:39", "remaining_time": "6 days, 19:03:41"} +{"current_steps": 10690, "total_steps": 24897, "loss": 0.9393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020548380171697366, "epoch": 1.29, "percentage": 42.94, "elapsed_time": "5 days, 2:39:22", "remaining_time": "6 days, 19:00:36"} +{"current_steps": 10695, "total_steps": 24897, "loss": 0.7875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020538818309464178, "epoch": 1.29, "percentage": 42.96, "elapsed_time": "5 days, 2:43:06", "remaining_time": "6 days, 18:57:32"} +{"current_steps": 10700, "total_steps": 24897, "loss": 0.9696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020529253840479155, "epoch": 1.29, "percentage": 42.98, "elapsed_time": "5 days, 2:46:48", "remaining_time": "6 days, 18:54:27"} +{"current_steps": 10705, "total_steps": 24897, "loss": 0.9457, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020519686769243653, "epoch": 1.29, "percentage": 43.0, "elapsed_time": "5 days, 2:50:38", "remaining_time": "6 days, 18:51:31"} +{"current_steps": 10710, "total_steps": 24897, "loss": 0.77, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020510117100260255, "epoch": 1.29, "percentage": 43.02, "elapsed_time": "5 days, 2:54:22", "remaining_time": "6 days, 18:48:28"} +{"current_steps": 10715, "total_steps": 24897, "loss": 0.895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020500544838032765, "epoch": 1.29, "percentage": 43.04, "elapsed_time": "5 days, 2:58:06", "remaining_time": "6 days, 18:45:24"} +{"current_steps": 10720, "total_steps": 24897, "loss": 0.9008, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020490969987066207, "epoch": 1.29, "percentage": 43.06, "elapsed_time": "5 days, 3:01:49", "remaining_time": "6 days, 18:42:19"} +{"current_steps": 10725, "total_steps": 24897, "loss": 0.9069, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020481392551866827, "epoch": 1.29, "percentage": 43.08, "elapsed_time": "5 days, 3:05:32", "remaining_time": "6 days, 18:39:15"} +{"current_steps": 10730, "total_steps": 24897, "loss": 1.057, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020471812536942074, "epoch": 1.29, "percentage": 43.1, "elapsed_time": "5 days, 3:09:16", "remaining_time": "6 days, 18:36:10"} +{"current_steps": 10735, "total_steps": 24897, "loss": 0.8346, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020462229946800634, "epoch": 1.29, "percentage": 43.12, "elapsed_time": "5 days, 3:13:00", "remaining_time": "6 days, 18:33:06"} +{"current_steps": 10740, "total_steps": 24897, "loss": 0.8141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002045264478595238, "epoch": 1.29, "percentage": 43.14, "elapsed_time": "5 days, 3:16:43", "remaining_time": "6 days, 18:30:02"} +{"current_steps": 10745, "total_steps": 24897, "loss": 0.8955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020443057058908417, "epoch": 1.29, "percentage": 43.16, "elapsed_time": "5 days, 3:20:26", "remaining_time": "6 days, 18:26:57"} +{"current_steps": 10750, "total_steps": 24897, "loss": 0.8148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002043346677018104, "epoch": 1.3, "percentage": 43.18, "elapsed_time": "5 days, 3:24:09", "remaining_time": "6 days, 18:23:52"} +{"current_steps": 10755, "total_steps": 24897, "loss": 0.8765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020423873924283763, "epoch": 1.3, "percentage": 43.2, "elapsed_time": "5 days, 3:27:52", "remaining_time": "6 days, 18:20:47"} +{"current_steps": 10760, "total_steps": 24897, "loss": 0.9221, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000204142785257313, "epoch": 1.3, "percentage": 43.22, "elapsed_time": "5 days, 3:31:36", "remaining_time": "6 days, 18:17:42"} +{"current_steps": 10765, "total_steps": 24897, "loss": 0.8637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020404680579039558, "epoch": 1.3, "percentage": 43.24, "elapsed_time": "5 days, 3:35:19", "remaining_time": "6 days, 18:14:38"} +{"current_steps": 10770, "total_steps": 24897, "loss": 0.7704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002039508008872565, "epoch": 1.3, "percentage": 43.26, "elapsed_time": "5 days, 3:39:02", "remaining_time": "6 days, 18:11:33"} +{"current_steps": 10775, "total_steps": 24897, "loss": 0.8945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020385477059307885, "epoch": 1.3, "percentage": 43.28, "elapsed_time": "5 days, 3:42:46", "remaining_time": "6 days, 18:08:29"} +{"current_steps": 10780, "total_steps": 24897, "loss": 0.8504, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002037587149530577, "epoch": 1.3, "percentage": 43.3, "elapsed_time": "5 days, 3:46:30", "remaining_time": "6 days, 18:05:24"} +{"current_steps": 10785, "total_steps": 24897, "loss": 0.8331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020366263401240005, "epoch": 1.3, "percentage": 43.32, "elapsed_time": "5 days, 3:50:13", "remaining_time": "6 days, 18:02:19"} +{"current_steps": 10790, "total_steps": 24897, "loss": 0.913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020356652781632477, "epoch": 1.3, "percentage": 43.34, "elapsed_time": "5 days, 3:53:56", "remaining_time": "6 days, 17:59:13"} +{"current_steps": 10795, "total_steps": 24897, "loss": 0.8158, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020347039641006257, "epoch": 1.3, "percentage": 43.36, "elapsed_time": "5 days, 3:57:39", "remaining_time": "6 days, 17:56:08"} +{"current_steps": 10800, "total_steps": 24897, "loss": 0.7857, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020337423983885617, "epoch": 1.3, "percentage": 43.38, "elapsed_time": "5 days, 4:01:22", "remaining_time": "6 days, 17:53:03"} +{"current_steps": 10805, "total_steps": 24897, "loss": 0.9449, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020327805814795993, "epoch": 1.3, "percentage": 43.4, "elapsed_time": "5 days, 4:05:10", "remaining_time": "6 days, 17:50:04"} +{"current_steps": 10810, "total_steps": 24897, "loss": 0.9813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020318185138264026, "epoch": 1.3, "percentage": 43.42, "elapsed_time": "5 days, 4:08:54", "remaining_time": "6 days, 17:47:00"} +{"current_steps": 10815, "total_steps": 24897, "loss": 0.8555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020308561958817518, "epoch": 1.3, "percentage": 43.44, "elapsed_time": "5 days, 4:12:38", "remaining_time": "6 days, 17:43:55"} +{"current_steps": 10820, "total_steps": 24897, "loss": 0.9193, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020298936280985466, "epoch": 1.3, "percentage": 43.46, "elapsed_time": "5 days, 4:16:21", "remaining_time": "6 days, 17:40:50"} +{"current_steps": 10825, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020289308109298028, "epoch": 1.3, "percentage": 43.48, "elapsed_time": "5 days, 4:20:04", "remaining_time": "6 days, 17:37:45"} +{"current_steps": 10830, "total_steps": 24897, "loss": 0.8654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002027967744828654, "epoch": 1.3, "percentage": 43.5, "elapsed_time": "5 days, 4:23:47", "remaining_time": "6 days, 17:34:40"} +{"current_steps": 10835, "total_steps": 24897, "loss": 0.801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020270044302483505, "epoch": 1.31, "percentage": 43.52, "elapsed_time": "5 days, 4:27:31", "remaining_time": "6 days, 17:31:34"} +{"current_steps": 10840, "total_steps": 24897, "loss": 0.7792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020260408676422615, "epoch": 1.31, "percentage": 43.54, "elapsed_time": "5 days, 4:31:14", "remaining_time": "6 days, 17:28:29"} +{"current_steps": 10845, "total_steps": 24897, "loss": 0.9452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020250770574638708, "epoch": 1.31, "percentage": 43.56, "elapsed_time": "5 days, 4:34:58", "remaining_time": "6 days, 17:25:24"} +{"current_steps": 10850, "total_steps": 24897, "loss": 0.8753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020241130001667797, "epoch": 1.31, "percentage": 43.58, "elapsed_time": "5 days, 4:38:41", "remaining_time": "6 days, 17:22:19"} +{"current_steps": 10855, "total_steps": 24897, "loss": 0.8244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002023148696204705, "epoch": 1.31, "percentage": 43.6, "elapsed_time": "5 days, 4:42:24", "remaining_time": "6 days, 17:19:13"} +{"current_steps": 10860, "total_steps": 24897, "loss": 0.8651, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020221841460314814, "epoch": 1.31, "percentage": 43.62, "elapsed_time": "5 days, 4:46:07", "remaining_time": "6 days, 17:16:07"} +{"current_steps": 10865, "total_steps": 24897, "loss": 0.8664, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020212193501010573, "epoch": 1.31, "percentage": 43.64, "elapsed_time": "5 days, 4:49:51", "remaining_time": "6 days, 17:13:02"} +{"current_steps": 10870, "total_steps": 24897, "loss": 0.8406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020202543088674977, "epoch": 1.31, "percentage": 43.66, "elapsed_time": "5 days, 4:53:34", "remaining_time": "6 days, 17:09:56"} +{"current_steps": 10875, "total_steps": 24897, "loss": 0.9253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002019289022784983, "epoch": 1.31, "percentage": 43.68, "elapsed_time": "5 days, 4:57:18", "remaining_time": "6 days, 17:06:52"} +{"current_steps": 10880, "total_steps": 24897, "loss": 0.9783, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020183234923078092, "epoch": 1.31, "percentage": 43.7, "elapsed_time": "5 days, 5:01:02", "remaining_time": "6 days, 17:03:48"} +{"current_steps": 10885, "total_steps": 24897, "loss": 0.8766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002017357717890387, "epoch": 1.31, "percentage": 43.72, "elapsed_time": "5 days, 5:04:47", "remaining_time": "6 days, 17:00:43"} +{"current_steps": 10890, "total_steps": 24897, "loss": 0.8313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020163916999872418, "epoch": 1.31, "percentage": 43.74, "elapsed_time": "5 days, 5:08:31", "remaining_time": "6 days, 16:57:39"} +{"current_steps": 10895, "total_steps": 24897, "loss": 0.9304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020154254390530142, "epoch": 1.31, "percentage": 43.76, "elapsed_time": "5 days, 5:12:14", "remaining_time": "6 days, 16:54:33"} +{"current_steps": 10900, "total_steps": 24897, "loss": 0.8889, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020144589355424578, "epoch": 1.31, "percentage": 43.78, "elapsed_time": "5 days, 5:15:57", "remaining_time": "6 days, 16:51:27"} +{"current_steps": 10905, "total_steps": 24897, "loss": 0.8527, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020134921899104416, "epoch": 1.31, "percentage": 43.8, "elapsed_time": "5 days, 5:19:53", "remaining_time": "6 days, 16:48:38"} +{"current_steps": 10910, "total_steps": 24897, "loss": 0.8413, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020125252026119487, "epoch": 1.31, "percentage": 43.82, "elapsed_time": "5 days, 5:23:38", "remaining_time": "6 days, 16:45:34"} +{"current_steps": 10915, "total_steps": 24897, "loss": 0.8226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020115579741020745, "epoch": 1.32, "percentage": 43.84, "elapsed_time": "5 days, 5:27:22", "remaining_time": "6 days, 16:42:29"} +{"current_steps": 10920, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000201059050483603, "epoch": 1.32, "percentage": 43.86, "elapsed_time": "5 days, 5:31:06", "remaining_time": "6 days, 16:39:23"} +{"current_steps": 10925, "total_steps": 24897, "loss": 0.8882, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020096227952691366, "epoch": 1.32, "percentage": 43.88, "elapsed_time": "5 days, 5:34:49", "remaining_time": "6 days, 16:36:17"} +{"current_steps": 10930, "total_steps": 24897, "loss": 0.8571, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020086548458568326, "epoch": 1.32, "percentage": 43.9, "elapsed_time": "5 days, 5:38:33", "remaining_time": "6 days, 16:33:13"} +{"current_steps": 10935, "total_steps": 24897, "loss": 0.797, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020076866570546662, "epoch": 1.32, "percentage": 43.92, "elapsed_time": "5 days, 5:42:16", "remaining_time": "6 days, 16:30:06"} +{"current_steps": 10940, "total_steps": 24897, "loss": 0.9124, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020067182293182994, "epoch": 1.32, "percentage": 43.94, "elapsed_time": "5 days, 5:46:00", "remaining_time": "6 days, 16:27:01"} +{"current_steps": 10945, "total_steps": 24897, "loss": 0.9069, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020057495631035056, "epoch": 1.32, "percentage": 43.96, "elapsed_time": "5 days, 5:49:43", "remaining_time": "6 days, 16:23:55"} +{"current_steps": 10950, "total_steps": 24897, "loss": 0.8417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020047806588661726, "epoch": 1.32, "percentage": 43.98, "elapsed_time": "5 days, 5:53:26", "remaining_time": "6 days, 16:20:49"} +{"current_steps": 10955, "total_steps": 24897, "loss": 0.7833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020038115170622982, "epoch": 1.32, "percentage": 44.0, "elapsed_time": "5 days, 5:57:10", "remaining_time": "6 days, 16:17:43"} +{"current_steps": 10960, "total_steps": 24897, "loss": 0.8015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00020028421381479926, "epoch": 1.32, "percentage": 44.02, "elapsed_time": "5 days, 6:00:53", "remaining_time": "6 days, 16:14:37"} +{"current_steps": 10965, "total_steps": 24897, "loss": 0.8105, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002001872522579478, "epoch": 1.32, "percentage": 44.04, "elapsed_time": "5 days, 6:04:36", "remaining_time": "6 days, 16:11:30"} +{"current_steps": 10970, "total_steps": 24897, "loss": 0.973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0002000902670813088, "epoch": 1.32, "percentage": 44.06, "elapsed_time": "5 days, 6:08:19", "remaining_time": "6 days, 16:08:23"} +{"current_steps": 10975, "total_steps": 24897, "loss": 0.8141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001999932583305266, "epoch": 1.32, "percentage": 44.08, "elapsed_time": "5 days, 6:12:02", "remaining_time": "6 days, 16:05:17"} +{"current_steps": 10980, "total_steps": 24897, "loss": 0.9489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019989622605125684, "epoch": 1.32, "percentage": 44.1, "elapsed_time": "5 days, 6:15:45", "remaining_time": "6 days, 16:02:10"} +{"current_steps": 10985, "total_steps": 24897, "loss": 0.9385, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019979917028916606, "epoch": 1.32, "percentage": 44.12, "elapsed_time": "5 days, 6:19:29", "remaining_time": "6 days, 15:59:04"} +{"current_steps": 10990, "total_steps": 24897, "loss": 0.8649, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019970209108993202, "epoch": 1.32, "percentage": 44.14, "elapsed_time": "5 days, 6:23:12", "remaining_time": "6 days, 15:55:58"} +{"current_steps": 10995, "total_steps": 24897, "loss": 0.8, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001996049884992433, "epoch": 1.32, "percentage": 44.16, "elapsed_time": "5 days, 6:26:55", "remaining_time": "6 days, 15:52:51"} +{"current_steps": 11000, "total_steps": 24897, "loss": 0.8478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001995078625627997, "epoch": 1.33, "percentage": 44.18, "elapsed_time": "5 days, 6:30:39", "remaining_time": "6 days, 15:49:45"} +{"current_steps": 11005, "total_steps": 24897, "loss": 0.8296, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019941071332631188, "epoch": 1.33, "percentage": 44.2, "elapsed_time": "5 days, 6:34:35", "remaining_time": "6 days, 15:46:55"} +{"current_steps": 11010, "total_steps": 24897, "loss": 0.8881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019931354083550147, "epoch": 1.33, "percentage": 44.22, "elapsed_time": "5 days, 6:38:20", "remaining_time": "6 days, 15:43:50"} +{"current_steps": 11015, "total_steps": 24897, "loss": 0.8604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001992163451361011, "epoch": 1.33, "percentage": 44.24, "elapsed_time": "5 days, 6:42:04", "remaining_time": "6 days, 15:40:44"} +{"current_steps": 11020, "total_steps": 24897, "loss": 0.9111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019911912627385426, "epoch": 1.33, "percentage": 44.26, "elapsed_time": "5 days, 6:45:48", "remaining_time": "6 days, 15:37:39"} +{"current_steps": 11025, "total_steps": 24897, "loss": 0.881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019902188429451542, "epoch": 1.33, "percentage": 44.28, "elapsed_time": "5 days, 6:49:31", "remaining_time": "6 days, 15:34:32"} +{"current_steps": 11030, "total_steps": 24897, "loss": 0.908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001989246192438499, "epoch": 1.33, "percentage": 44.3, "elapsed_time": "5 days, 6:53:15", "remaining_time": "6 days, 15:31:26"} +{"current_steps": 11035, "total_steps": 24897, "loss": 0.8769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019882733116763376, "epoch": 1.33, "percentage": 44.32, "elapsed_time": "5 days, 6:56:58", "remaining_time": "6 days, 15:28:20"} +{"current_steps": 11040, "total_steps": 24897, "loss": 0.803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019873002011165409, "epoch": 1.33, "percentage": 44.34, "elapsed_time": "5 days, 7:00:42", "remaining_time": "6 days, 15:25:14"} +{"current_steps": 11045, "total_steps": 24897, "loss": 0.825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019863268612170873, "epoch": 1.33, "percentage": 44.36, "elapsed_time": "5 days, 7:04:26", "remaining_time": "6 days, 15:22:07"} +{"current_steps": 11050, "total_steps": 24897, "loss": 0.9395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019853532924360618, "epoch": 1.33, "percentage": 44.38, "elapsed_time": "5 days, 7:08:10", "remaining_time": "6 days, 15:19:01"} +{"current_steps": 11055, "total_steps": 24897, "loss": 0.8964, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001984379495231659, "epoch": 1.33, "percentage": 44.4, "elapsed_time": "5 days, 7:11:53", "remaining_time": "6 days, 15:15:55"} +{"current_steps": 11060, "total_steps": 24897, "loss": 0.8883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019834054700621802, "epoch": 1.33, "percentage": 44.42, "elapsed_time": "5 days, 7:15:37", "remaining_time": "6 days, 15:12:48"} +{"current_steps": 11065, "total_steps": 24897, "loss": 0.8721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019824312173860332, "epoch": 1.33, "percentage": 44.44, "elapsed_time": "5 days, 7:19:20", "remaining_time": "6 days, 15:09:41"} +{"current_steps": 11070, "total_steps": 24897, "loss": 0.8063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019814567376617346, "epoch": 1.33, "percentage": 44.46, "elapsed_time": "5 days, 7:23:04", "remaining_time": "6 days, 15:06:35"} +{"current_steps": 11075, "total_steps": 24897, "loss": 0.9648, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019804820313479066, "epoch": 1.33, "percentage": 44.48, "elapsed_time": "5 days, 7:26:47", "remaining_time": "6 days, 15:03:28"} +{"current_steps": 11080, "total_steps": 24897, "loss": 0.8958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019795070989032788, "epoch": 1.34, "percentage": 44.5, "elapsed_time": "5 days, 7:30:31", "remaining_time": "6 days, 15:00:21"} +{"current_steps": 11085, "total_steps": 24897, "loss": 0.838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019785319407866853, "epoch": 1.34, "percentage": 44.52, "elapsed_time": "5 days, 7:34:14", "remaining_time": "6 days, 14:57:15"} +{"current_steps": 11090, "total_steps": 24897, "loss": 0.8578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019775565574570698, "epoch": 1.34, "percentage": 44.54, "elapsed_time": "5 days, 7:37:58", "remaining_time": "6 days, 14:54:08"} +{"current_steps": 11095, "total_steps": 24897, "loss": 0.8606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019765809493734786, "epoch": 1.34, "percentage": 44.56, "elapsed_time": "5 days, 7:41:41", "remaining_time": "6 days, 14:51:01"} +{"current_steps": 11100, "total_steps": 24897, "loss": 0.7974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019756051169950663, "epoch": 1.34, "percentage": 44.58, "elapsed_time": "5 days, 7:45:25", "remaining_time": "6 days, 14:47:54"} +{"current_steps": 11105, "total_steps": 24897, "loss": 0.8465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001974629060781091, "epoch": 1.34, "percentage": 44.6, "elapsed_time": "5 days, 7:49:15", "remaining_time": "6 days, 14:44:56"} +{"current_steps": 11110, "total_steps": 24897, "loss": 0.9114, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019736527811909185, "epoch": 1.34, "percentage": 44.62, "elapsed_time": "5 days, 7:53:00", "remaining_time": "6 days, 14:41:50"} +{"current_steps": 11115, "total_steps": 24897, "loss": 0.9526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019726762786840177, "epoch": 1.34, "percentage": 44.64, "elapsed_time": "5 days, 7:56:44", "remaining_time": "6 days, 14:38:44"} +{"current_steps": 11120, "total_steps": 24897, "loss": 0.8695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019716995537199624, "epoch": 1.34, "percentage": 44.66, "elapsed_time": "5 days, 8:00:29", "remaining_time": "6 days, 14:35:39"} +{"current_steps": 11125, "total_steps": 24897, "loss": 0.8904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019707226067584326, "epoch": 1.34, "percentage": 44.68, "elapsed_time": "5 days, 8:04:14", "remaining_time": "6 days, 14:32:33"} +{"current_steps": 11130, "total_steps": 24897, "loss": 0.7754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001969745438259212, "epoch": 1.34, "percentage": 44.7, "elapsed_time": "5 days, 8:07:58", "remaining_time": "6 days, 14:29:27"} +{"current_steps": 11135, "total_steps": 24897, "loss": 0.9336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019687680486821883, "epoch": 1.34, "percentage": 44.72, "elapsed_time": "5 days, 8:11:41", "remaining_time": "6 days, 14:26:20"} +{"current_steps": 11140, "total_steps": 24897, "loss": 0.8192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019677904384873536, "epoch": 1.34, "percentage": 44.74, "elapsed_time": "5 days, 8:15:24", "remaining_time": "6 days, 14:23:12"} +{"current_steps": 11145, "total_steps": 24897, "loss": 0.8694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019668126081348036, "epoch": 1.34, "percentage": 44.76, "elapsed_time": "5 days, 8:19:08", "remaining_time": "6 days, 14:20:06"} +{"current_steps": 11150, "total_steps": 24897, "loss": 0.8598, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019658345580847382, "epoch": 1.34, "percentage": 44.78, "elapsed_time": "5 days, 8:22:52", "remaining_time": "6 days, 14:16:59"} +{"current_steps": 11155, "total_steps": 24897, "loss": 0.7988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019648562887974598, "epoch": 1.34, "percentage": 44.8, "elapsed_time": "5 days, 8:26:36", "remaining_time": "6 days, 14:13:52"} +{"current_steps": 11160, "total_steps": 24897, "loss": 0.8018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019638778007333743, "epoch": 1.34, "percentage": 44.82, "elapsed_time": "5 days, 8:30:19", "remaining_time": "6 days, 14:10:45"} +{"current_steps": 11165, "total_steps": 24897, "loss": 0.8682, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019628990943529909, "epoch": 1.35, "percentage": 44.84, "elapsed_time": "5 days, 8:34:03", "remaining_time": "6 days, 14:07:37"} +{"current_steps": 11170, "total_steps": 24897, "loss": 0.8165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019619201701169217, "epoch": 1.35, "percentage": 44.86, "elapsed_time": "5 days, 8:37:46", "remaining_time": "6 days, 14:04:29"} +{"current_steps": 11175, "total_steps": 24897, "loss": 0.8636, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019609410284858797, "epoch": 1.35, "percentage": 44.88, "elapsed_time": "5 days, 8:41:29", "remaining_time": "6 days, 14:01:22"} +{"current_steps": 11180, "total_steps": 24897, "loss": 0.9089, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001959961669920683, "epoch": 1.35, "percentage": 44.91, "elapsed_time": "5 days, 8:45:13", "remaining_time": "6 days, 13:58:14"} +{"current_steps": 11185, "total_steps": 24897, "loss": 0.92, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019589820948822493, "epoch": 1.35, "percentage": 44.93, "elapsed_time": "5 days, 8:48:56", "remaining_time": "6 days, 13:55:07"} +{"current_steps": 11190, "total_steps": 24897, "loss": 0.8794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019580023038316, "epoch": 1.35, "percentage": 44.95, "elapsed_time": "5 days, 8:52:40", "remaining_time": "6 days, 13:52:00"} +{"current_steps": 11195, "total_steps": 24897, "loss": 0.8629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001957022297229856, "epoch": 1.35, "percentage": 44.97, "elapsed_time": "5 days, 8:56:23", "remaining_time": "6 days, 13:48:52"} +{"current_steps": 11200, "total_steps": 24897, "loss": 0.836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019560420755382416, "epoch": 1.35, "percentage": 44.99, "elapsed_time": "5 days, 9:00:07", "remaining_time": "6 days, 13:45:45"} +{"current_steps": 11205, "total_steps": 24897, "loss": 0.8133, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001955061639218082, "epoch": 1.35, "percentage": 45.01, "elapsed_time": "5 days, 9:03:57", "remaining_time": "6 days, 13:42:45"} +{"current_steps": 11210, "total_steps": 24897, "loss": 0.7957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019540809887308032, "epoch": 1.35, "percentage": 45.03, "elapsed_time": "5 days, 9:07:42", "remaining_time": "6 days, 13:39:40"} +{"current_steps": 11215, "total_steps": 24897, "loss": 0.9497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019531001245379312, "epoch": 1.35, "percentage": 45.05, "elapsed_time": "5 days, 9:11:26", "remaining_time": "6 days, 13:36:33"} +{"current_steps": 11220, "total_steps": 24897, "loss": 0.8048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019521190471010936, "epoch": 1.35, "percentage": 45.07, "elapsed_time": "5 days, 9:15:10", "remaining_time": "6 days, 13:33:25"} +{"current_steps": 11225, "total_steps": 24897, "loss": 0.7849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019511377568820184, "epoch": 1.35, "percentage": 45.09, "elapsed_time": "5 days, 9:18:54", "remaining_time": "6 days, 13:30:18"} +{"current_steps": 11230, "total_steps": 24897, "loss": 0.8545, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019501562543425329, "epoch": 1.35, "percentage": 45.11, "elapsed_time": "5 days, 9:22:37", "remaining_time": "6 days, 13:27:10"} +{"current_steps": 11235, "total_steps": 24897, "loss": 0.8467, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019491745399445644, "epoch": 1.35, "percentage": 45.13, "elapsed_time": "5 days, 9:26:21", "remaining_time": "6 days, 13:24:03"} +{"current_steps": 11240, "total_steps": 24897, "loss": 0.8546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001948192614150141, "epoch": 1.35, "percentage": 45.15, "elapsed_time": "5 days, 9:30:04", "remaining_time": "6 days, 13:20:55"} +{"current_steps": 11245, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019472104774213893, "epoch": 1.35, "percentage": 45.17, "elapsed_time": "5 days, 9:33:48", "remaining_time": "6 days, 13:17:48"} +{"current_steps": 11250, "total_steps": 24897, "loss": 0.946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019462281302205355, "epoch": 1.36, "percentage": 45.19, "elapsed_time": "5 days, 9:37:32", "remaining_time": "6 days, 13:14:40"} +{"current_steps": 11255, "total_steps": 24897, "loss": 0.8431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001945245573009905, "epoch": 1.36, "percentage": 45.21, "elapsed_time": "5 days, 9:41:15", "remaining_time": "6 days, 13:11:32"} +{"current_steps": 11260, "total_steps": 24897, "loss": 0.9679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001944262806251922, "epoch": 1.36, "percentage": 45.23, "elapsed_time": "5 days, 9:44:59", "remaining_time": "6 days, 13:08:24"} +{"current_steps": 11265, "total_steps": 24897, "loss": 0.928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019432798304091085, "epoch": 1.36, "percentage": 45.25, "elapsed_time": "5 days, 9:48:43", "remaining_time": "6 days, 13:05:16"} +{"current_steps": 11270, "total_steps": 24897, "loss": 0.9368, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001942296645944086, "epoch": 1.36, "percentage": 45.27, "elapsed_time": "5 days, 9:52:27", "remaining_time": "6 days, 13:02:09"} +{"current_steps": 11275, "total_steps": 24897, "loss": 0.9575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019413132533195737, "epoch": 1.36, "percentage": 45.29, "elapsed_time": "5 days, 9:56:11", "remaining_time": "6 days, 12:59:02"} +{"current_steps": 11280, "total_steps": 24897, "loss": 0.8327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019403296529983888, "epoch": 1.36, "percentage": 45.31, "elapsed_time": "5 days, 9:59:55", "remaining_time": "6 days, 12:55:54"} +{"current_steps": 11285, "total_steps": 24897, "loss": 0.7914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019393458454434464, "epoch": 1.36, "percentage": 45.33, "elapsed_time": "5 days, 10:03:38", "remaining_time": "6 days, 12:52:46"} +{"current_steps": 11290, "total_steps": 24897, "loss": 0.8401, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019383618311177587, "epoch": 1.36, "percentage": 45.35, "elapsed_time": "5 days, 10:07:22", "remaining_time": "6 days, 12:49:39"} +{"current_steps": 11295, "total_steps": 24897, "loss": 0.8922, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019373776104844362, "epoch": 1.36, "percentage": 45.37, "elapsed_time": "5 days, 10:11:06", "remaining_time": "6 days, 12:46:31"} +{"current_steps": 11300, "total_steps": 24897, "loss": 0.8806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019363931840066847, "epoch": 1.36, "percentage": 45.39, "elapsed_time": "5 days, 10:14:50", "remaining_time": "6 days, 12:43:23"} +{"current_steps": 11305, "total_steps": 24897, "loss": 0.9306, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019354085521478088, "epoch": 1.36, "percentage": 45.41, "elapsed_time": "5 days, 10:18:39", "remaining_time": "6 days, 12:40:22"} +{"current_steps": 11310, "total_steps": 24897, "loss": 0.9232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001934423715371209, "epoch": 1.36, "percentage": 45.43, "elapsed_time": "5 days, 10:22:24", "remaining_time": "6 days, 12:37:15"} +{"current_steps": 11315, "total_steps": 24897, "loss": 0.8308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001933438674140382, "epoch": 1.36, "percentage": 45.45, "elapsed_time": "5 days, 10:26:08", "remaining_time": "6 days, 12:34:07"} +{"current_steps": 11320, "total_steps": 24897, "loss": 0.861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019324534289189203, "epoch": 1.36, "percentage": 45.47, "elapsed_time": "5 days, 10:29:52", "remaining_time": "6 days, 12:31:00"} +{"current_steps": 11325, "total_steps": 24897, "loss": 0.8986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019314679801705144, "epoch": 1.36, "percentage": 45.49, "elapsed_time": "5 days, 10:33:36", "remaining_time": "6 days, 12:27:52"} +{"current_steps": 11330, "total_steps": 24897, "loss": 1.0461, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019304823283589482, "epoch": 1.37, "percentage": 45.51, "elapsed_time": "5 days, 10:37:19", "remaining_time": "6 days, 12:24:44"} +{"current_steps": 11335, "total_steps": 24897, "loss": 0.8773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019294964739481024, "epoch": 1.37, "percentage": 45.53, "elapsed_time": "5 days, 10:41:03", "remaining_time": "6 days, 12:21:36"} +{"current_steps": 11340, "total_steps": 24897, "loss": 0.9431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019285104174019527, "epoch": 1.37, "percentage": 45.55, "elapsed_time": "5 days, 10:44:47", "remaining_time": "6 days, 12:18:27"} +{"current_steps": 11345, "total_steps": 24897, "loss": 0.904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019275241591845704, "epoch": 1.37, "percentage": 45.57, "elapsed_time": "5 days, 10:48:31", "remaining_time": "6 days, 12:15:19"} +{"current_steps": 11350, "total_steps": 24897, "loss": 0.9063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019265376997601205, "epoch": 1.37, "percentage": 45.59, "elapsed_time": "5 days, 10:52:14", "remaining_time": "6 days, 12:12:11"} +{"current_steps": 11355, "total_steps": 24897, "loss": 0.8952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001925551039592865, "epoch": 1.37, "percentage": 45.61, "elapsed_time": "5 days, 10:55:58", "remaining_time": "6 days, 12:09:03"} +{"current_steps": 11360, "total_steps": 24897, "loss": 0.9056, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019245641791471577, "epoch": 1.37, "percentage": 45.63, "elapsed_time": "5 days, 10:59:42", "remaining_time": "6 days, 12:05:55"} +{"current_steps": 11365, "total_steps": 24897, "loss": 0.8856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019235771188874485, "epoch": 1.37, "percentage": 45.65, "elapsed_time": "5 days, 11:03:26", "remaining_time": "6 days, 12:02:47"} +{"current_steps": 11370, "total_steps": 24897, "loss": 0.8179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001922589859278281, "epoch": 1.37, "percentage": 45.67, "elapsed_time": "5 days, 11:07:10", "remaining_time": "6 days, 11:59:39"} +{"current_steps": 11375, "total_steps": 24897, "loss": 0.8159, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019216024007842915, "epoch": 1.37, "percentage": 45.69, "elapsed_time": "5 days, 11:10:54", "remaining_time": "6 days, 11:56:31"} +{"current_steps": 11380, "total_steps": 24897, "loss": 0.9193, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019206147438702108, "epoch": 1.37, "percentage": 45.71, "elapsed_time": "5 days, 11:14:38", "remaining_time": "6 days, 11:53:23"} +{"current_steps": 11385, "total_steps": 24897, "loss": 0.938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019196268890008642, "epoch": 1.37, "percentage": 45.73, "elapsed_time": "5 days, 11:18:22", "remaining_time": "6 days, 11:50:14"} +{"current_steps": 11390, "total_steps": 24897, "loss": 0.82, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001918638836641168, "epoch": 1.37, "percentage": 45.75, "elapsed_time": "5 days, 11:22:05", "remaining_time": "6 days, 11:47:06"} +{"current_steps": 11395, "total_steps": 24897, "loss": 0.9606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019176505872561326, "epoch": 1.37, "percentage": 45.77, "elapsed_time": "5 days, 11:25:49", "remaining_time": "6 days, 11:43:57"} +{"current_steps": 11400, "total_steps": 24897, "loss": 0.9147, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019166621413108613, "epoch": 1.37, "percentage": 45.79, "elapsed_time": "5 days, 11:29:32", "remaining_time": "6 days, 11:40:48"} +{"current_steps": 11405, "total_steps": 24897, "loss": 0.8639, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019156734992705496, "epoch": 1.37, "percentage": 45.81, "elapsed_time": "5 days, 11:33:22", "remaining_time": "6 days, 11:37:46"} +{"current_steps": 11410, "total_steps": 24897, "loss": 0.7505, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019146846616004842, "epoch": 1.37, "percentage": 45.83, "elapsed_time": "5 days, 11:37:06", "remaining_time": "6 days, 11:34:38"} +{"current_steps": 11415, "total_steps": 24897, "loss": 0.8708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019136956287660464, "epoch": 1.38, "percentage": 45.85, "elapsed_time": "5 days, 11:40:51", "remaining_time": "6 days, 11:31:31"} +{"current_steps": 11420, "total_steps": 24897, "loss": 0.9644, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019127064012327072, "epoch": 1.38, "percentage": 45.87, "elapsed_time": "5 days, 11:44:34", "remaining_time": "6 days, 11:28:22"} +{"current_steps": 11425, "total_steps": 24897, "loss": 0.8277, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000191171697946603, "epoch": 1.38, "percentage": 45.89, "elapsed_time": "5 days, 11:48:18", "remaining_time": "6 days, 11:25:13"} +{"current_steps": 11430, "total_steps": 24897, "loss": 0.877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019107273639316696, "epoch": 1.38, "percentage": 45.91, "elapsed_time": "5 days, 11:52:02", "remaining_time": "6 days, 11:22:04"} +{"current_steps": 11435, "total_steps": 24897, "loss": 0.8611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001909737555095372, "epoch": 1.38, "percentage": 45.93, "elapsed_time": "5 days, 11:55:45", "remaining_time": "6 days, 11:18:56"} +{"current_steps": 11440, "total_steps": 24897, "loss": 0.9243, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001908747553422974, "epoch": 1.38, "percentage": 45.95, "elapsed_time": "5 days, 11:59:29", "remaining_time": "6 days, 11:15:47"} +{"current_steps": 11445, "total_steps": 24897, "loss": 0.9948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001907757359380403, "epoch": 1.38, "percentage": 45.97, "elapsed_time": "5 days, 12:03:13", "remaining_time": "6 days, 11:12:38"} +{"current_steps": 11450, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019067669734336776, "epoch": 1.38, "percentage": 45.99, "elapsed_time": "5 days, 12:06:57", "remaining_time": "6 days, 11:09:29"} +{"current_steps": 11455, "total_steps": 24897, "loss": 0.9734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019057763960489063, "epoch": 1.38, "percentage": 46.01, "elapsed_time": "5 days, 12:10:40", "remaining_time": "6 days, 11:06:20"} +{"current_steps": 11460, "total_steps": 24897, "loss": 0.8183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019047856276922873, "epoch": 1.38, "percentage": 46.03, "elapsed_time": "5 days, 12:14:23", "remaining_time": "6 days, 11:03:11"} +{"current_steps": 11465, "total_steps": 24897, "loss": 0.9237, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019037946688301097, "epoch": 1.38, "percentage": 46.05, "elapsed_time": "5 days, 12:18:07", "remaining_time": "6 days, 11:00:02"} +{"current_steps": 11470, "total_steps": 24897, "loss": 0.8724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019028035199287512, "epoch": 1.38, "percentage": 46.07, "elapsed_time": "5 days, 12:21:51", "remaining_time": "6 days, 10:56:53"} +{"current_steps": 11475, "total_steps": 24897, "loss": 0.8638, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019018121814546799, "epoch": 1.38, "percentage": 46.09, "elapsed_time": "5 days, 12:25:34", "remaining_time": "6 days, 10:53:43"} +{"current_steps": 11480, "total_steps": 24897, "loss": 0.9152, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00019008206538744516, "epoch": 1.38, "percentage": 46.11, "elapsed_time": "5 days, 12:29:17", "remaining_time": "6 days, 10:50:33"} +{"current_steps": 11485, "total_steps": 24897, "loss": 0.7177, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018998289376547135, "epoch": 1.38, "percentage": 46.13, "elapsed_time": "5 days, 12:33:00", "remaining_time": "6 days, 10:47:24"} +{"current_steps": 11490, "total_steps": 24897, "loss": 0.9155, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018988370332621987, "epoch": 1.38, "percentage": 46.15, "elapsed_time": "5 days, 12:36:43", "remaining_time": "6 days, 10:44:14"} +{"current_steps": 11495, "total_steps": 24897, "loss": 0.8946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018978449411637317, "epoch": 1.39, "percentage": 46.17, "elapsed_time": "5 days, 12:40:27", "remaining_time": "6 days, 10:41:04"} +{"current_steps": 11500, "total_steps": 24897, "loss": 0.833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018968526618262226, "epoch": 1.39, "percentage": 46.19, "elapsed_time": "5 days, 12:44:11", "remaining_time": "6 days, 10:37:56"} +{"current_steps": 11505, "total_steps": 24897, "loss": 0.8047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018958601957166725, "epoch": 1.39, "percentage": 46.21, "elapsed_time": "5 days, 12:48:01", "remaining_time": "6 days, 10:34:54"} +{"current_steps": 11510, "total_steps": 24897, "loss": 0.8861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001894867543302168, "epoch": 1.39, "percentage": 46.23, "elapsed_time": "5 days, 12:51:45", "remaining_time": "6 days, 10:31:45"} +{"current_steps": 11515, "total_steps": 24897, "loss": 0.8644, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018938747050498847, "epoch": 1.39, "percentage": 46.25, "elapsed_time": "5 days, 12:55:30", "remaining_time": "6 days, 10:28:37"} +{"current_steps": 11520, "total_steps": 24897, "loss": 0.8713, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018928816814270844, "epoch": 1.39, "percentage": 46.27, "elapsed_time": "5 days, 12:59:14", "remaining_time": "6 days, 10:25:28"} +{"current_steps": 11525, "total_steps": 24897, "loss": 0.8059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001891888472901118, "epoch": 1.39, "percentage": 46.29, "elapsed_time": "5 days, 13:02:58", "remaining_time": "6 days, 10:22:19"} +{"current_steps": 11530, "total_steps": 24897, "loss": 0.8532, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001890895079939422, "epoch": 1.39, "percentage": 46.31, "elapsed_time": "5 days, 13:06:41", "remaining_time": "6 days, 10:19:09"} +{"current_steps": 11535, "total_steps": 24897, "loss": 0.8387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018899015030095201, "epoch": 1.39, "percentage": 46.33, "elapsed_time": "5 days, 13:10:25", "remaining_time": "6 days, 10:16:00"} +{"current_steps": 11540, "total_steps": 24897, "loss": 0.9407, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018889077425790225, "epoch": 1.39, "percentage": 46.35, "elapsed_time": "5 days, 13:14:09", "remaining_time": "6 days, 10:12:51"} +{"current_steps": 11545, "total_steps": 24897, "loss": 0.817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018879137991156263, "epoch": 1.39, "percentage": 46.37, "elapsed_time": "5 days, 13:17:52", "remaining_time": "6 days, 10:09:41"} +{"current_steps": 11550, "total_steps": 24897, "loss": 0.8507, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001886919673087114, "epoch": 1.39, "percentage": 46.39, "elapsed_time": "5 days, 13:21:36", "remaining_time": "6 days, 10:06:32"} +{"current_steps": 11555, "total_steps": 24897, "loss": 0.7727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018859253649613545, "epoch": 1.39, "percentage": 46.41, "elapsed_time": "5 days, 13:25:20", "remaining_time": "6 days, 10:03:22"} +{"current_steps": 11560, "total_steps": 24897, "loss": 0.829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018849308752063017, "epoch": 1.39, "percentage": 46.43, "elapsed_time": "5 days, 13:29:04", "remaining_time": "6 days, 10:00:13"} +{"current_steps": 11565, "total_steps": 24897, "loss": 0.8363, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018839362042899962, "epoch": 1.39, "percentage": 46.45, "elapsed_time": "5 days, 13:32:47", "remaining_time": "6 days, 9:57:03"} +{"current_steps": 11570, "total_steps": 24897, "loss": 0.9299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001882941352680562, "epoch": 1.39, "percentage": 46.47, "elapsed_time": "5 days, 13:36:31", "remaining_time": "6 days, 9:53:53"} +{"current_steps": 11575, "total_steps": 24897, "loss": 0.8416, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018819463208462112, "epoch": 1.39, "percentage": 46.49, "elapsed_time": "5 days, 13:40:15", "remaining_time": "6 days, 9:50:44"} +{"current_steps": 11580, "total_steps": 24897, "loss": 0.8448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018809511092552372, "epoch": 1.4, "percentage": 46.51, "elapsed_time": "5 days, 13:43:58", "remaining_time": "6 days, 9:47:34"} +{"current_steps": 11585, "total_steps": 24897, "loss": 0.9321, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018799557183760206, "epoch": 1.4, "percentage": 46.53, "elapsed_time": "5 days, 13:47:42", "remaining_time": "6 days, 9:44:24"} +{"current_steps": 11590, "total_steps": 24897, "loss": 0.8947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018789601486770245, "epoch": 1.4, "percentage": 46.55, "elapsed_time": "5 days, 13:51:26", "remaining_time": "6 days, 9:41:15"} +{"current_steps": 11595, "total_steps": 24897, "loss": 0.8113, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001877964400626798, "epoch": 1.4, "percentage": 46.57, "elapsed_time": "5 days, 13:55:09", "remaining_time": "6 days, 9:38:05"} +{"current_steps": 11600, "total_steps": 24897, "loss": 0.89, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018769684746939723, "epoch": 1.4, "percentage": 46.59, "elapsed_time": "5 days, 13:58:53", "remaining_time": "6 days, 9:34:55"} +{"current_steps": 11605, "total_steps": 24897, "loss": 0.8691, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018759723713472642, "epoch": 1.4, "percentage": 46.61, "elapsed_time": "5 days, 14:02:40", "remaining_time": "6 days, 9:31:49"} +{"current_steps": 11610, "total_steps": 24897, "loss": 0.8259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018749760910554715, "epoch": 1.4, "percentage": 46.63, "elapsed_time": "5 days, 14:06:24", "remaining_time": "6 days, 9:28:39"} +{"current_steps": 11615, "total_steps": 24897, "loss": 0.8773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001873979634287479, "epoch": 1.4, "percentage": 46.65, "elapsed_time": "5 days, 14:10:08", "remaining_time": "6 days, 9:25:30"} +{"current_steps": 11620, "total_steps": 24897, "loss": 0.9002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018729830015122508, "epoch": 1.4, "percentage": 46.67, "elapsed_time": "5 days, 14:13:52", "remaining_time": "6 days, 9:22:20"} +{"current_steps": 11625, "total_steps": 24897, "loss": 0.8456, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018719861931988354, "epoch": 1.4, "percentage": 46.69, "elapsed_time": "5 days, 14:17:35", "remaining_time": "6 days, 9:19:10"} +{"current_steps": 11630, "total_steps": 24897, "loss": 0.8834, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001870989209816364, "epoch": 1.4, "percentage": 46.71, "elapsed_time": "5 days, 14:21:20", "remaining_time": "6 days, 9:16:01"} +{"current_steps": 11635, "total_steps": 24897, "loss": 0.7416, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001869992051834051, "epoch": 1.4, "percentage": 46.73, "elapsed_time": "5 days, 14:25:03", "remaining_time": "6 days, 9:12:51"} +{"current_steps": 11640, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018689947197211908, "epoch": 1.4, "percentage": 46.75, "elapsed_time": "5 days, 14:28:48", "remaining_time": "6 days, 9:09:42"} +{"current_steps": 11645, "total_steps": 24897, "loss": 0.9248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018679972139471615, "epoch": 1.4, "percentage": 46.77, "elapsed_time": "5 days, 14:32:32", "remaining_time": "6 days, 9:06:33"} +{"current_steps": 11650, "total_steps": 24897, "loss": 0.9654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018669995349814228, "epoch": 1.4, "percentage": 46.79, "elapsed_time": "5 days, 14:36:17", "remaining_time": "6 days, 9:03:24"} +{"current_steps": 11655, "total_steps": 24897, "loss": 0.8877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001866001683293515, "epoch": 1.4, "percentage": 46.81, "elapsed_time": "5 days, 14:40:02", "remaining_time": "6 days, 9:00:15"} +{"current_steps": 11660, "total_steps": 24897, "loss": 0.9332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018650036593530607, "epoch": 1.4, "percentage": 46.83, "elapsed_time": "5 days, 14:43:45", "remaining_time": "6 days, 8:57:04"} +{"current_steps": 11665, "total_steps": 24897, "loss": 0.7944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018640054636297632, "epoch": 1.41, "percentage": 46.85, "elapsed_time": "5 days, 14:47:30", "remaining_time": "6 days, 8:53:55"} +{"current_steps": 11670, "total_steps": 24897, "loss": 0.7875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018630070965934057, "epoch": 1.41, "percentage": 46.87, "elapsed_time": "5 days, 14:51:13", "remaining_time": "6 days, 8:50:45"} +{"current_steps": 11675, "total_steps": 24897, "loss": 0.7474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001862008558713854, "epoch": 1.41, "percentage": 46.89, "elapsed_time": "5 days, 14:54:57", "remaining_time": "6 days, 8:47:35"} +{"current_steps": 11680, "total_steps": 24897, "loss": 0.944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018610098504610523, "epoch": 1.41, "percentage": 46.91, "elapsed_time": "5 days, 14:58:41", "remaining_time": "6 days, 8:44:25"} +{"current_steps": 11685, "total_steps": 24897, "loss": 0.998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001860010972305026, "epoch": 1.41, "percentage": 46.93, "elapsed_time": "5 days, 15:02:25", "remaining_time": "6 days, 8:41:15"} +{"current_steps": 11690, "total_steps": 24897, "loss": 0.8007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001859011924715881, "epoch": 1.41, "percentage": 46.95, "elapsed_time": "5 days, 15:06:09", "remaining_time": "6 days, 8:38:05"} +{"current_steps": 11695, "total_steps": 24897, "loss": 0.8973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018580127081638018, "epoch": 1.41, "percentage": 46.97, "elapsed_time": "5 days, 15:09:53", "remaining_time": "6 days, 8:34:55"} +{"current_steps": 11700, "total_steps": 24897, "loss": 0.9319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018570133231190524, "epoch": 1.41, "percentage": 46.99, "elapsed_time": "5 days, 15:13:37", "remaining_time": "6 days, 8:31:45"} +{"current_steps": 11705, "total_steps": 24897, "loss": 0.8381, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018560137700519776, "epoch": 1.41, "percentage": 47.01, "elapsed_time": "5 days, 15:17:23", "remaining_time": "6 days, 8:28:37"} +{"current_steps": 11710, "total_steps": 24897, "loss": 0.9152, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018550140494329995, "epoch": 1.41, "percentage": 47.03, "elapsed_time": "5 days, 15:21:08", "remaining_time": "6 days, 8:25:28"} +{"current_steps": 11715, "total_steps": 24897, "loss": 0.8468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000185401416173262, "epoch": 1.41, "percentage": 47.05, "elapsed_time": "5 days, 15:24:52", "remaining_time": "6 days, 8:22:18"} +{"current_steps": 11720, "total_steps": 24897, "loss": 0.8679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018530141074214195, "epoch": 1.41, "percentage": 47.07, "elapsed_time": "5 days, 15:28:36", "remaining_time": "6 days, 8:19:08"} +{"current_steps": 11725, "total_steps": 24897, "loss": 0.8317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018520138869700573, "epoch": 1.41, "percentage": 47.09, "elapsed_time": "5 days, 15:32:20", "remaining_time": "6 days, 8:15:57"} +{"current_steps": 11730, "total_steps": 24897, "loss": 0.9075, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018510135008492696, "epoch": 1.41, "percentage": 47.11, "elapsed_time": "5 days, 15:36:05", "remaining_time": "6 days, 8:12:48"} +{"current_steps": 11735, "total_steps": 24897, "loss": 0.8721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018500129495298718, "epoch": 1.41, "percentage": 47.13, "elapsed_time": "5 days, 15:39:49", "remaining_time": "6 days, 8:09:38"} +{"current_steps": 11740, "total_steps": 24897, "loss": 0.9592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001849012233482756, "epoch": 1.41, "percentage": 47.15, "elapsed_time": "5 days, 15:43:32", "remaining_time": "6 days, 8:06:27"} +{"current_steps": 11745, "total_steps": 24897, "loss": 0.8826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001848011353178893, "epoch": 1.42, "percentage": 47.17, "elapsed_time": "5 days, 15:47:17", "remaining_time": "6 days, 8:03:18"} +{"current_steps": 11750, "total_steps": 24897, "loss": 0.8053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018470103090893297, "epoch": 1.42, "percentage": 47.19, "elapsed_time": "5 days, 15:51:00", "remaining_time": "6 days, 8:00:06"} +{"current_steps": 11755, "total_steps": 24897, "loss": 0.8638, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018460091016851915, "epoch": 1.42, "percentage": 47.21, "elapsed_time": "5 days, 15:54:45", "remaining_time": "6 days, 7:56:57"} +{"current_steps": 11760, "total_steps": 24897, "loss": 0.8719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018450077314376793, "epoch": 1.42, "percentage": 47.23, "elapsed_time": "5 days, 15:58:29", "remaining_time": "6 days, 7:53:47"} +{"current_steps": 11765, "total_steps": 24897, "loss": 0.9337, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001844006198818072, "epoch": 1.42, "percentage": 47.25, "elapsed_time": "5 days, 16:02:14", "remaining_time": "6 days, 7:50:38"} +{"current_steps": 11770, "total_steps": 24897, "loss": 0.8136, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018430045042977224, "epoch": 1.42, "percentage": 47.27, "elapsed_time": "5 days, 16:06:00", "remaining_time": "6 days, 7:47:29"} +{"current_steps": 11775, "total_steps": 24897, "loss": 0.9473, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001842002648348063, "epoch": 1.42, "percentage": 47.29, "elapsed_time": "5 days, 16:09:44", "remaining_time": "6 days, 7:44:19"} +{"current_steps": 11780, "total_steps": 24897, "loss": 0.7744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018410006314405992, "epoch": 1.42, "percentage": 47.31, "elapsed_time": "5 days, 16:13:28", "remaining_time": "6 days, 7:41:08"} +{"current_steps": 11785, "total_steps": 24897, "loss": 0.8238, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001839998454046914, "epoch": 1.42, "percentage": 47.34, "elapsed_time": "5 days, 16:17:13", "remaining_time": "6 days, 7:37:58"} +{"current_steps": 11790, "total_steps": 24897, "loss": 0.8673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018389961166386657, "epoch": 1.42, "percentage": 47.36, "elapsed_time": "5 days, 16:20:58", "remaining_time": "6 days, 7:34:49"} +{"current_steps": 11795, "total_steps": 24897, "loss": 0.9232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018379936196875868, "epoch": 1.42, "percentage": 47.38, "elapsed_time": "5 days, 16:24:42", "remaining_time": "6 days, 7:31:38"} +{"current_steps": 11800, "total_steps": 24897, "loss": 0.8296, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018369909636654867, "epoch": 1.42, "percentage": 47.4, "elapsed_time": "5 days, 16:28:26", "remaining_time": "6 days, 7:28:28"} +{"current_steps": 11805, "total_steps": 24897, "loss": 0.8778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018359881490442471, "epoch": 1.42, "percentage": 47.42, "elapsed_time": "5 days, 16:32:12", "remaining_time": "6 days, 7:25:20"} +{"current_steps": 11810, "total_steps": 24897, "loss": 0.949, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018349851762958274, "epoch": 1.42, "percentage": 47.44, "elapsed_time": "5 days, 16:35:57", "remaining_time": "6 days, 7:22:10"} +{"current_steps": 11815, "total_steps": 24897, "loss": 0.8828, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018339820458922589, "epoch": 1.42, "percentage": 47.46, "elapsed_time": "5 days, 16:39:41", "remaining_time": "6 days, 7:18:59"} +{"current_steps": 11820, "total_steps": 24897, "loss": 0.7622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018329787583056486, "epoch": 1.42, "percentage": 47.48, "elapsed_time": "5 days, 16:43:25", "remaining_time": "6 days, 7:15:49"} +{"current_steps": 11825, "total_steps": 24897, "loss": 0.8811, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018319753140081765, "epoch": 1.42, "percentage": 47.5, "elapsed_time": "5 days, 16:47:08", "remaining_time": "6 days, 7:12:37"} +{"current_steps": 11830, "total_steps": 24897, "loss": 0.9607, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018309717134720974, "epoch": 1.43, "percentage": 47.52, "elapsed_time": "5 days, 16:50:49", "remaining_time": "6 days, 7:09:23"} +{"current_steps": 11835, "total_steps": 24897, "loss": 0.8902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018299679571697383, "epoch": 1.43, "percentage": 47.54, "elapsed_time": "5 days, 16:54:31", "remaining_time": "6 days, 7:06:09"} +{"current_steps": 11840, "total_steps": 24897, "loss": 0.8107, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018289640455735012, "epoch": 1.43, "percentage": 47.56, "elapsed_time": "5 days, 16:58:12", "remaining_time": "6 days, 7:02:55"} +{"current_steps": 11845, "total_steps": 24897, "loss": 0.8493, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001827959979155859, "epoch": 1.43, "percentage": 47.58, "elapsed_time": "5 days, 17:01:52", "remaining_time": "6 days, 6:59:40"} +{"current_steps": 11850, "total_steps": 24897, "loss": 0.8704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018269557583893602, "epoch": 1.43, "percentage": 47.6, "elapsed_time": "5 days, 17:05:32", "remaining_time": "6 days, 6:56:25"} +{"current_steps": 11855, "total_steps": 24897, "loss": 0.8665, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018259513837466228, "epoch": 1.43, "percentage": 47.62, "elapsed_time": "5 days, 17:09:12", "remaining_time": "6 days, 6:53:09"} +{"current_steps": 11860, "total_steps": 24897, "loss": 0.7894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018249468557003404, "epoch": 1.43, "percentage": 47.64, "elapsed_time": "5 days, 17:12:51", "remaining_time": "6 days, 6:49:54"} +{"current_steps": 11865, "total_steps": 24897, "loss": 0.7926, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018239421747232758, "epoch": 1.43, "percentage": 47.66, "elapsed_time": "5 days, 17:16:30", "remaining_time": "6 days, 6:46:37"} +{"current_steps": 11870, "total_steps": 24897, "loss": 0.848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001822937341288267, "epoch": 1.43, "percentage": 47.68, "elapsed_time": "5 days, 17:20:09", "remaining_time": "6 days, 6:43:20"} +{"current_steps": 11875, "total_steps": 24897, "loss": 0.9605, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018219323558682203, "epoch": 1.43, "percentage": 47.7, "elapsed_time": "5 days, 17:23:47", "remaining_time": "6 days, 6:40:03"} +{"current_steps": 11880, "total_steps": 24897, "loss": 0.8209, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001820927218936116, "epoch": 1.43, "percentage": 47.72, "elapsed_time": "5 days, 17:27:25", "remaining_time": "6 days, 6:36:45"} +{"current_steps": 11885, "total_steps": 24897, "loss": 0.808, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001819921930965005, "epoch": 1.43, "percentage": 47.74, "elapsed_time": "5 days, 17:31:03", "remaining_time": "6 days, 6:33:28"} +{"current_steps": 11890, "total_steps": 24897, "loss": 0.8508, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018189164924280088, "epoch": 1.43, "percentage": 47.76, "elapsed_time": "5 days, 17:34:42", "remaining_time": "6 days, 6:30:11"} +{"current_steps": 11895, "total_steps": 24897, "loss": 0.9911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018179109037983203, "epoch": 1.43, "percentage": 47.78, "elapsed_time": "5 days, 17:38:20", "remaining_time": "6 days, 6:26:53"} +{"current_steps": 11900, "total_steps": 24897, "loss": 0.8894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018169051655492034, "epoch": 1.43, "percentage": 47.8, "elapsed_time": "5 days, 17:41:59", "remaining_time": "6 days, 6:23:37"} +{"current_steps": 11905, "total_steps": 24897, "loss": 0.8912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001815899278153991, "epoch": 1.43, "percentage": 47.82, "elapsed_time": "5 days, 17:45:40", "remaining_time": "6 days, 6:20:23"} +{"current_steps": 11910, "total_steps": 24897, "loss": 0.8364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001814893242086088, "epoch": 1.44, "percentage": 47.84, "elapsed_time": "5 days, 17:49:19", "remaining_time": "6 days, 6:17:06"} +{"current_steps": 11915, "total_steps": 24897, "loss": 0.8419, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018138870578189676, "epoch": 1.44, "percentage": 47.86, "elapsed_time": "5 days, 17:52:57", "remaining_time": "6 days, 6:13:48"} +{"current_steps": 11920, "total_steps": 24897, "loss": 0.8018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001812880725826174, "epoch": 1.44, "percentage": 47.88, "elapsed_time": "5 days, 17:56:35", "remaining_time": "6 days, 6:10:31"} +{"current_steps": 11925, "total_steps": 24897, "loss": 0.84, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018118742465813206, "epoch": 1.44, "percentage": 47.9, "elapsed_time": "5 days, 18:00:13", "remaining_time": "6 days, 6:07:13"} +{"current_steps": 11930, "total_steps": 24897, "loss": 0.8555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018108676205580895, "epoch": 1.44, "percentage": 47.92, "elapsed_time": "5 days, 18:03:52", "remaining_time": "6 days, 6:03:56"} +{"current_steps": 11935, "total_steps": 24897, "loss": 0.8613, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018098608482302328, "epoch": 1.44, "percentage": 47.94, "elapsed_time": "5 days, 18:07:31", "remaining_time": "6 days, 6:00:39"} +{"current_steps": 11940, "total_steps": 24897, "loss": 0.7991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018088539300715705, "epoch": 1.44, "percentage": 47.96, "elapsed_time": "5 days, 18:11:08", "remaining_time": "6 days, 5:57:21"} +{"current_steps": 11945, "total_steps": 24897, "loss": 0.7935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018078468665559924, "epoch": 1.44, "percentage": 47.98, "elapsed_time": "5 days, 18:14:46", "remaining_time": "6 days, 5:54:03"} +{"current_steps": 11950, "total_steps": 24897, "loss": 0.878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018068396581574553, "epoch": 1.44, "percentage": 48.0, "elapsed_time": "5 days, 18:18:24", "remaining_time": "6 days, 5:50:44"} +{"current_steps": 11955, "total_steps": 24897, "loss": 0.8047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018058323053499854, "epoch": 1.44, "percentage": 48.02, "elapsed_time": "5 days, 18:22:02", "remaining_time": "6 days, 5:47:26"} +{"current_steps": 11960, "total_steps": 24897, "loss": 0.8075, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001804824808607676, "epoch": 1.44, "percentage": 48.04, "elapsed_time": "5 days, 18:25:39", "remaining_time": "6 days, 5:44:08"} +{"current_steps": 11965, "total_steps": 24897, "loss": 0.8581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001803817168404689, "epoch": 1.44, "percentage": 48.06, "elapsed_time": "5 days, 18:29:17", "remaining_time": "6 days, 5:40:50"} +{"current_steps": 11970, "total_steps": 24897, "loss": 0.8953, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018028093852152528, "epoch": 1.44, "percentage": 48.08, "elapsed_time": "5 days, 18:32:54", "remaining_time": "6 days, 5:37:31"} +{"current_steps": 11975, "total_steps": 24897, "loss": 0.8884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018018014595136644, "epoch": 1.44, "percentage": 48.1, "elapsed_time": "5 days, 18:36:32", "remaining_time": "6 days, 5:34:13"} +{"current_steps": 11980, "total_steps": 24897, "loss": 1.0623, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00018007933917742864, "epoch": 1.44, "percentage": 48.12, "elapsed_time": "5 days, 18:40:09", "remaining_time": "6 days, 5:30:54"} +{"current_steps": 11985, "total_steps": 24897, "loss": 0.8695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001799785182471549, "epoch": 1.44, "percentage": 48.14, "elapsed_time": "5 days, 18:43:47", "remaining_time": "6 days, 5:27:36"} +{"current_steps": 11990, "total_steps": 24897, "loss": 0.9001, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017987768320799495, "epoch": 1.44, "percentage": 48.16, "elapsed_time": "5 days, 18:47:24", "remaining_time": "6 days, 5:24:17"} +{"current_steps": 11995, "total_steps": 24897, "loss": 0.8526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017977683410740503, "epoch": 1.45, "percentage": 48.18, "elapsed_time": "5 days, 18:51:01", "remaining_time": "6 days, 5:20:58"} +{"current_steps": 12000, "total_steps": 24897, "loss": 0.9424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017967597099284813, "epoch": 1.45, "percentage": 48.2, "elapsed_time": "5 days, 18:54:38", "remaining_time": "6 days, 5:17:39"} +{"current_steps": 12005, "total_steps": 24897, "loss": 0.8184, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001795750939117938, "epoch": 1.45, "percentage": 48.22, "elapsed_time": "5 days, 18:58:18", "remaining_time": "6 days, 5:14:23"} +{"current_steps": 12010, "total_steps": 24897, "loss": 0.9174, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017947420291171813, "epoch": 1.45, "percentage": 48.24, "elapsed_time": "5 days, 19:01:55", "remaining_time": "6 days, 5:11:04"} +{"current_steps": 12015, "total_steps": 24897, "loss": 0.9216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017937329804010372, "epoch": 1.45, "percentage": 48.26, "elapsed_time": "5 days, 19:05:32", "remaining_time": "6 days, 5:07:45"} +{"current_steps": 12020, "total_steps": 24897, "loss": 0.8869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017927237934443983, "epoch": 1.45, "percentage": 48.28, "elapsed_time": "5 days, 19:09:09", "remaining_time": "6 days, 5:04:26"} +{"current_steps": 12025, "total_steps": 24897, "loss": 0.8327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017917144687222206, "epoch": 1.45, "percentage": 48.3, "elapsed_time": "5 days, 19:12:47", "remaining_time": "6 days, 5:01:08"} +{"current_steps": 12030, "total_steps": 24897, "loss": 0.9104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001790705006709527, "epoch": 1.45, "percentage": 48.32, "elapsed_time": "5 days, 19:16:25", "remaining_time": "6 days, 4:57:49"} +{"current_steps": 12035, "total_steps": 24897, "loss": 0.9341, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017896954078814028, "epoch": 1.45, "percentage": 48.34, "elapsed_time": "5 days, 19:20:02", "remaining_time": "6 days, 4:54:30"} +{"current_steps": 12040, "total_steps": 24897, "loss": 0.8143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017886856727129994, "epoch": 1.45, "percentage": 48.36, "elapsed_time": "5 days, 19:23:39", "remaining_time": "6 days, 4:51:11"} +{"current_steps": 12045, "total_steps": 24897, "loss": 0.8801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017876758016795313, "epoch": 1.45, "percentage": 48.38, "elapsed_time": "5 days, 19:27:16", "remaining_time": "6 days, 4:47:52"} +{"current_steps": 12050, "total_steps": 24897, "loss": 0.8149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017866657952562778, "epoch": 1.45, "percentage": 48.4, "elapsed_time": "5 days, 19:30:53", "remaining_time": "6 days, 4:44:32"} +{"current_steps": 12055, "total_steps": 24897, "loss": 0.8196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001785655653918581, "epoch": 1.45, "percentage": 48.42, "elapsed_time": "5 days, 19:34:30", "remaining_time": "6 days, 4:41:14"} +{"current_steps": 12060, "total_steps": 24897, "loss": 0.7369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017846453781418474, "epoch": 1.45, "percentage": 48.44, "elapsed_time": "5 days, 19:38:07", "remaining_time": "6 days, 4:37:54"} +{"current_steps": 12065, "total_steps": 24897, "loss": 0.9414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017836349684015456, "epoch": 1.45, "percentage": 48.46, "elapsed_time": "5 days, 19:41:44", "remaining_time": "6 days, 4:34:35"} +{"current_steps": 12070, "total_steps": 24897, "loss": 0.9288, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017826244251732088, "epoch": 1.45, "percentage": 48.48, "elapsed_time": "5 days, 19:45:21", "remaining_time": "6 days, 4:31:15"} +{"current_steps": 12075, "total_steps": 24897, "loss": 0.8764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017816137489324314, "epoch": 1.45, "percentage": 48.5, "elapsed_time": "5 days, 19:48:58", "remaining_time": "6 days, 4:27:56"} +{"current_steps": 12080, "total_steps": 24897, "loss": 0.7207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001780602940154872, "epoch": 1.46, "percentage": 48.52, "elapsed_time": "5 days, 19:52:34", "remaining_time": "6 days, 4:24:36"} +{"current_steps": 12085, "total_steps": 24897, "loss": 0.8304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017795919993162504, "epoch": 1.46, "percentage": 48.54, "elapsed_time": "5 days, 19:56:11", "remaining_time": "6 days, 4:21:17"} +{"current_steps": 12090, "total_steps": 24897, "loss": 0.8202, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017785809268923493, "epoch": 1.46, "percentage": 48.56, "elapsed_time": "5 days, 19:59:48", "remaining_time": "6 days, 4:17:58"} +{"current_steps": 12095, "total_steps": 24897, "loss": 0.8119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001777569723359012, "epoch": 1.46, "percentage": 48.58, "elapsed_time": "5 days, 20:03:25", "remaining_time": "6 days, 4:14:38"} +{"current_steps": 12100, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017765583891921454, "epoch": 1.46, "percentage": 48.6, "elapsed_time": "5 days, 20:07:02", "remaining_time": "6 days, 4:11:18"} +{"current_steps": 12105, "total_steps": 24897, "loss": 0.8043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017755469248677163, "epoch": 1.46, "percentage": 48.62, "elapsed_time": "5 days, 20:10:41", "remaining_time": "6 days, 4:08:01"} +{"current_steps": 12110, "total_steps": 24897, "loss": 0.9287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001774535330861754, "epoch": 1.46, "percentage": 48.64, "elapsed_time": "5 days, 20:14:18", "remaining_time": "6 days, 4:04:41"} +{"current_steps": 12115, "total_steps": 24897, "loss": 0.903, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001773523607650348, "epoch": 1.46, "percentage": 48.66, "elapsed_time": "5 days, 20:17:55", "remaining_time": "6 days, 4:01:22"} +{"current_steps": 12120, "total_steps": 24897, "loss": 0.8647, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001772511755709649, "epoch": 1.46, "percentage": 48.68, "elapsed_time": "5 days, 20:21:31", "remaining_time": "6 days, 3:58:02"} +{"current_steps": 12125, "total_steps": 24897, "loss": 0.8978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017714997755158675, "epoch": 1.46, "percentage": 48.7, "elapsed_time": "5 days, 20:25:08", "remaining_time": "6 days, 3:54:43"} +{"current_steps": 12130, "total_steps": 24897, "loss": 0.8336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001770487667545276, "epoch": 1.46, "percentage": 48.72, "elapsed_time": "5 days, 20:28:45", "remaining_time": "6 days, 3:51:23"} +{"current_steps": 12135, "total_steps": 24897, "loss": 0.9016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017694754322742048, "epoch": 1.46, "percentage": 48.74, "elapsed_time": "5 days, 20:32:21", "remaining_time": "6 days, 3:48:03"} +{"current_steps": 12140, "total_steps": 24897, "loss": 0.8116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017684630701790468, "epoch": 1.46, "percentage": 48.76, "elapsed_time": "5 days, 20:35:59", "remaining_time": "6 days, 3:44:43"} +{"current_steps": 12145, "total_steps": 24897, "loss": 0.9136, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001767450581736252, "epoch": 1.46, "percentage": 48.78, "elapsed_time": "5 days, 20:39:37", "remaining_time": "6 days, 3:41:25"} +{"current_steps": 12150, "total_steps": 24897, "loss": 0.8182, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017664379674223318, "epoch": 1.46, "percentage": 48.8, "elapsed_time": "5 days, 20:43:16", "remaining_time": "6 days, 3:38:08"} +{"current_steps": 12155, "total_steps": 24897, "loss": 0.8735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001765425227713856, "epoch": 1.46, "percentage": 48.82, "elapsed_time": "5 days, 20:46:55", "remaining_time": "6 days, 3:34:50"} +{"current_steps": 12160, "total_steps": 24897, "loss": 0.888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017644123630874539, "epoch": 1.47, "percentage": 48.84, "elapsed_time": "5 days, 20:50:34", "remaining_time": "6 days, 3:31:33"} +{"current_steps": 12165, "total_steps": 24897, "loss": 0.8367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017633993740198128, "epoch": 1.47, "percentage": 48.86, "elapsed_time": "5 days, 20:54:14", "remaining_time": "6 days, 3:28:16"} +{"current_steps": 12170, "total_steps": 24897, "loss": 0.903, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001762386260987679, "epoch": 1.47, "percentage": 48.88, "elapsed_time": "5 days, 20:57:54", "remaining_time": "6 days, 3:25:00"} +{"current_steps": 12175, "total_steps": 24897, "loss": 0.8555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001761373024467857, "epoch": 1.47, "percentage": 48.9, "elapsed_time": "5 days, 21:01:34", "remaining_time": "6 days, 3:21:43"} +{"current_steps": 12180, "total_steps": 24897, "loss": 0.9068, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000176035966493721, "epoch": 1.47, "percentage": 48.92, "elapsed_time": "5 days, 21:05:14", "remaining_time": "6 days, 3:18:27"} +{"current_steps": 12185, "total_steps": 24897, "loss": 0.9578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001759346182872658, "epoch": 1.47, "percentage": 48.94, "elapsed_time": "5 days, 21:08:55", "remaining_time": "6 days, 3:15:11"} +{"current_steps": 12190, "total_steps": 24897, "loss": 0.8648, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000175833257875118, "epoch": 1.47, "percentage": 48.96, "elapsed_time": "5 days, 21:12:35", "remaining_time": "6 days, 3:11:55"} +{"current_steps": 12195, "total_steps": 24897, "loss": 0.9002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017573188530498117, "epoch": 1.47, "percentage": 48.98, "elapsed_time": "5 days, 21:16:16", "remaining_time": "6 days, 3:08:39"} +{"current_steps": 12200, "total_steps": 24897, "loss": 0.8624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001756305006245646, "epoch": 1.47, "percentage": 49.0, "elapsed_time": "5 days, 21:19:56", "remaining_time": "6 days, 3:05:24"} +{"current_steps": 12205, "total_steps": 24897, "loss": 0.8435, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001755291038815832, "epoch": 1.47, "percentage": 49.02, "elapsed_time": "5 days, 21:23:43", "remaining_time": "6 days, 3:02:14"} +{"current_steps": 12210, "total_steps": 24897, "loss": 0.8139, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001754276951237578, "epoch": 1.47, "percentage": 49.04, "elapsed_time": "5 days, 21:27:25", "remaining_time": "6 days, 2:58:59"} +{"current_steps": 12215, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017532627439881458, "epoch": 1.47, "percentage": 49.06, "elapsed_time": "5 days, 21:31:06", "remaining_time": "6 days, 2:55:43"} +{"current_steps": 12220, "total_steps": 24897, "loss": 0.8312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001752248417544856, "epoch": 1.47, "percentage": 49.08, "elapsed_time": "5 days, 21:34:47", "remaining_time": "6 days, 2:52:28"} +{"current_steps": 12225, "total_steps": 24897, "loss": 0.8774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017512339723850835, "epoch": 1.47, "percentage": 49.1, "elapsed_time": "5 days, 21:38:28", "remaining_time": "6 days, 2:49:12"} +{"current_steps": 12230, "total_steps": 24897, "loss": 0.8132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017502194089862608, "epoch": 1.47, "percentage": 49.12, "elapsed_time": "5 days, 21:42:09", "remaining_time": "6 days, 2:45:57"} +{"current_steps": 12235, "total_steps": 24897, "loss": 0.9219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017492047278258748, "epoch": 1.47, "percentage": 49.14, "elapsed_time": "5 days, 21:45:51", "remaining_time": "6 days, 2:42:42"} +{"current_steps": 12240, "total_steps": 24897, "loss": 0.814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001748189929381468, "epoch": 1.47, "percentage": 49.16, "elapsed_time": "5 days, 21:49:33", "remaining_time": "6 days, 2:39:28"} +{"current_steps": 12245, "total_steps": 24897, "loss": 0.8465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001747175014130638, "epoch": 1.48, "percentage": 49.18, "elapsed_time": "5 days, 21:53:14", "remaining_time": "6 days, 2:36:12"} +{"current_steps": 12250, "total_steps": 24897, "loss": 0.885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017461599825510386, "epoch": 1.48, "percentage": 49.2, "elapsed_time": "5 days, 21:56:56", "remaining_time": "6 days, 2:32:57"} +{"current_steps": 12255, "total_steps": 24897, "loss": 0.8376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017451448351203758, "epoch": 1.48, "percentage": 49.22, "elapsed_time": "5 days, 22:00:37", "remaining_time": "6 days, 2:29:42"} +{"current_steps": 12260, "total_steps": 24897, "loss": 0.8311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017441295723164132, "epoch": 1.48, "percentage": 49.24, "elapsed_time": "5 days, 22:04:19", "remaining_time": "6 days, 2:26:27"} +{"current_steps": 12265, "total_steps": 24897, "loss": 0.7891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017431141946169662, "epoch": 1.48, "percentage": 49.26, "elapsed_time": "5 days, 22:08:01", "remaining_time": "6 days, 2:23:12"} +{"current_steps": 12270, "total_steps": 24897, "loss": 0.9465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017420987024999065, "epoch": 1.48, "percentage": 49.28, "elapsed_time": "5 days, 22:11:43", "remaining_time": "6 days, 2:19:57"} +{"current_steps": 12275, "total_steps": 24897, "loss": 0.8436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017410830964431566, "epoch": 1.48, "percentage": 49.3, "elapsed_time": "5 days, 22:15:24", "remaining_time": "6 days, 2:16:41"} +{"current_steps": 12280, "total_steps": 24897, "loss": 0.8469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001740067376924696, "epoch": 1.48, "percentage": 49.32, "elapsed_time": "5 days, 22:19:06", "remaining_time": "6 days, 2:13:26"} +{"current_steps": 12285, "total_steps": 24897, "loss": 0.907, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017390515444225548, "epoch": 1.48, "percentage": 49.34, "elapsed_time": "5 days, 22:22:47", "remaining_time": "6 days, 2:10:11"} +{"current_steps": 12290, "total_steps": 24897, "loss": 0.8642, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017380355994148187, "epoch": 1.48, "percentage": 49.36, "elapsed_time": "5 days, 22:26:29", "remaining_time": "6 days, 2:06:56"} +{"current_steps": 12295, "total_steps": 24897, "loss": 0.8299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001737019542379624, "epoch": 1.48, "percentage": 49.38, "elapsed_time": "5 days, 22:30:12", "remaining_time": "6 days, 2:03:42"} +{"current_steps": 12300, "total_steps": 24897, "loss": 0.8464, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017360033737951622, "epoch": 1.48, "percentage": 49.4, "elapsed_time": "5 days, 22:33:54", "remaining_time": "6 days, 2:00:27"} +{"current_steps": 12305, "total_steps": 24897, "loss": 0.8759, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001734987094139675, "epoch": 1.48, "percentage": 49.42, "elapsed_time": "5 days, 22:37:39", "remaining_time": "6 days, 1:57:15"} +{"current_steps": 12310, "total_steps": 24897, "loss": 0.8438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001733970703891457, "epoch": 1.48, "percentage": 49.44, "elapsed_time": "5 days, 22:41:21", "remaining_time": "6 days, 1:54:00"} +{"current_steps": 12315, "total_steps": 24897, "loss": 0.8019, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017329542035288565, "epoch": 1.48, "percentage": 49.46, "elapsed_time": "5 days, 22:45:03", "remaining_time": "6 days, 1:50:45"} +{"current_steps": 12320, "total_steps": 24897, "loss": 0.9302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017319375935302713, "epoch": 1.48, "percentage": 49.48, "elapsed_time": "5 days, 22:48:45", "remaining_time": "6 days, 1:47:30"} +{"current_steps": 12325, "total_steps": 24897, "loss": 0.835, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017309208743741526, "epoch": 1.49, "percentage": 49.5, "elapsed_time": "5 days, 22:52:27", "remaining_time": "6 days, 1:44:15"} +{"current_steps": 12330, "total_steps": 24897, "loss": 0.9248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017299040465390013, "epoch": 1.49, "percentage": 49.52, "elapsed_time": "5 days, 22:56:08", "remaining_time": "6 days, 1:40:59"} +{"current_steps": 12335, "total_steps": 24897, "loss": 0.8703, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017288871105033713, "epoch": 1.49, "percentage": 49.54, "elapsed_time": "5 days, 22:59:50", "remaining_time": "6 days, 1:37:44"} +{"current_steps": 12340, "total_steps": 24897, "loss": 0.836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017278700667458657, "epoch": 1.49, "percentage": 49.56, "elapsed_time": "5 days, 23:03:32", "remaining_time": "6 days, 1:34:28"} +{"current_steps": 12345, "total_steps": 24897, "loss": 0.8901, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017268529157451394, "epoch": 1.49, "percentage": 49.58, "elapsed_time": "5 days, 23:07:14", "remaining_time": "6 days, 1:31:13"} +{"current_steps": 12350, "total_steps": 24897, "loss": 0.8438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017258356579798973, "epoch": 1.49, "percentage": 49.6, "elapsed_time": "5 days, 23:10:55", "remaining_time": "6 days, 1:27:57"} +{"current_steps": 12355, "total_steps": 24897, "loss": 0.9269, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001724818293928895, "epoch": 1.49, "percentage": 49.62, "elapsed_time": "5 days, 23:14:37", "remaining_time": "6 days, 1:24:42"} +{"current_steps": 12360, "total_steps": 24897, "loss": 0.9076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017238008240709374, "epoch": 1.49, "percentage": 49.64, "elapsed_time": "5 days, 23:18:19", "remaining_time": "6 days, 1:21:27"} +{"current_steps": 12365, "total_steps": 24897, "loss": 0.8485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017227832488848799, "epoch": 1.49, "percentage": 49.66, "elapsed_time": "5 days, 23:22:01", "remaining_time": "6 days, 1:18:11"} +{"current_steps": 12370, "total_steps": 24897, "loss": 0.9593, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001721765568849627, "epoch": 1.49, "percentage": 49.68, "elapsed_time": "5 days, 23:25:43", "remaining_time": "6 days, 1:14:56"} +{"current_steps": 12375, "total_steps": 24897, "loss": 0.8921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017207477844441335, "epoch": 1.49, "percentage": 49.7, "elapsed_time": "5 days, 23:29:25", "remaining_time": "6 days, 1:11:41"} +{"current_steps": 12380, "total_steps": 24897, "loss": 0.8421, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017197298961474006, "epoch": 1.49, "percentage": 49.72, "elapsed_time": "5 days, 23:33:08", "remaining_time": "6 days, 1:08:26"} +{"current_steps": 12385, "total_steps": 24897, "loss": 0.8392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017187119044384823, "epoch": 1.49, "percentage": 49.74, "elapsed_time": "5 days, 23:36:50", "remaining_time": "6 days, 1:05:12"} +{"current_steps": 12390, "total_steps": 24897, "loss": 0.9365, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017176938097964784, "epoch": 1.49, "percentage": 49.77, "elapsed_time": "5 days, 23:40:32", "remaining_time": "6 days, 1:01:56"} +{"current_steps": 12395, "total_steps": 24897, "loss": 0.8264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017166756127005384, "epoch": 1.49, "percentage": 49.79, "elapsed_time": "5 days, 23:44:14", "remaining_time": "6 days, 0:58:41"} +{"current_steps": 12400, "total_steps": 24897, "loss": 0.9154, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017156573136298592, "epoch": 1.49, "percentage": 49.81, "elapsed_time": "5 days, 23:47:56", "remaining_time": "6 days, 0:55:25"} +{"current_steps": 12405, "total_steps": 24897, "loss": 0.8911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017146389130636864, "epoch": 1.49, "percentage": 49.83, "elapsed_time": "5 days, 23:51:41", "remaining_time": "6 days, 0:52:13"} +{"current_steps": 12410, "total_steps": 24897, "loss": 0.8841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001713620411481314, "epoch": 1.5, "percentage": 49.85, "elapsed_time": "5 days, 23:55:23", "remaining_time": "6 days, 0:48:58"} +{"current_steps": 12415, "total_steps": 24897, "loss": 0.8334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017126018093620808, "epoch": 1.5, "percentage": 49.87, "elapsed_time": "5 days, 23:59:05", "remaining_time": "6 days, 0:45:43"} +{"current_steps": 12420, "total_steps": 24897, "loss": 0.88, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001711583107185376, "epoch": 1.5, "percentage": 49.89, "elapsed_time": "6 days, 0:02:48", "remaining_time": "6 days, 0:42:28"} +{"current_steps": 12425, "total_steps": 24897, "loss": 0.8257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017105643054306352, "epoch": 1.5, "percentage": 49.91, "elapsed_time": "6 days, 0:06:29", "remaining_time": "6 days, 0:39:12"} +{"current_steps": 12430, "total_steps": 24897, "loss": 0.9252, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017095454045773387, "epoch": 1.5, "percentage": 49.93, "elapsed_time": "6 days, 0:10:10", "remaining_time": "6 days, 0:35:55"} +{"current_steps": 12435, "total_steps": 24897, "loss": 0.8395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017085264051050166, "epoch": 1.5, "percentage": 49.95, "elapsed_time": "6 days, 0:13:53", "remaining_time": "6 days, 0:32:41"} +{"current_steps": 12440, "total_steps": 24897, "loss": 0.8266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001707507307493243, "epoch": 1.5, "percentage": 49.97, "elapsed_time": "6 days, 0:17:35", "remaining_time": "6 days, 0:29:25"} +{"current_steps": 12445, "total_steps": 24897, "loss": 0.8427, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017064881122216398, "epoch": 1.5, "percentage": 49.99, "elapsed_time": "6 days, 0:21:17", "remaining_time": "6 days, 0:26:10"} +{"current_steps": 12450, "total_steps": 24897, "loss": 0.8368, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017054688197698736, "epoch": 1.5, "percentage": 50.01, "elapsed_time": "6 days, 0:25:00", "remaining_time": "6 days, 0:22:55"} +{"current_steps": 12455, "total_steps": 24897, "loss": 0.7964, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017044494306176576, "epoch": 1.5, "percentage": 50.03, "elapsed_time": "6 days, 0:28:42", "remaining_time": "6 days, 0:19:39"} +{"current_steps": 12460, "total_steps": 24897, "loss": 0.8546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017034299452447493, "epoch": 1.5, "percentage": 50.05, "elapsed_time": "6 days, 0:32:24", "remaining_time": "6 days, 0:16:24"} +{"current_steps": 12465, "total_steps": 24897, "loss": 0.8383, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017024103641309537, "epoch": 1.5, "percentage": 50.07, "elapsed_time": "6 days, 0:36:07", "remaining_time": "6 days, 0:13:08"} +{"current_steps": 12470, "total_steps": 24897, "loss": 0.7589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00017013906877561187, "epoch": 1.5, "percentage": 50.09, "elapsed_time": "6 days, 0:39:48", "remaining_time": "6 days, 0:09:53"} +{"current_steps": 12475, "total_steps": 24897, "loss": 0.8203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001700370916600138, "epoch": 1.5, "percentage": 50.11, "elapsed_time": "6 days, 0:43:31", "remaining_time": "6 days, 0:06:37"} +{"current_steps": 12480, "total_steps": 24897, "loss": 0.9016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000169935105114295, "epoch": 1.5, "percentage": 50.13, "elapsed_time": "6 days, 0:47:13", "remaining_time": "6 days, 0:03:22"} +{"current_steps": 12485, "total_steps": 24897, "loss": 0.786, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001698331091864537, "epoch": 1.5, "percentage": 50.15, "elapsed_time": "6 days, 0:50:55", "remaining_time": "6 days, 0:00:06"} +{"current_steps": 12490, "total_steps": 24897, "loss": 0.8466, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016973110392449255, "epoch": 1.5, "percentage": 50.17, "elapsed_time": "6 days, 0:54:37", "remaining_time": "5 days, 23:56:51"} +{"current_steps": 12495, "total_steps": 24897, "loss": 0.8854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016962908937641873, "epoch": 1.51, "percentage": 50.19, "elapsed_time": "6 days, 0:58:20", "remaining_time": "5 days, 23:53:36"} +{"current_steps": 12500, "total_steps": 24897, "loss": 0.8843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001695270655902435, "epoch": 1.51, "percentage": 50.21, "elapsed_time": "6 days, 1:02:01", "remaining_time": "5 days, 23:50:19"} +{"current_steps": 12505, "total_steps": 24897, "loss": 0.8412, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016942503261398276, "epoch": 1.51, "percentage": 50.23, "elapsed_time": "6 days, 1:05:45", "remaining_time": "5 days, 23:47:05"} +{"current_steps": 12510, "total_steps": 24897, "loss": 0.7979, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016932299049565657, "epoch": 1.51, "percentage": 50.25, "elapsed_time": "6 days, 1:09:27", "remaining_time": "5 days, 23:43:49"} +{"current_steps": 12515, "total_steps": 24897, "loss": 0.8078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016922093928328937, "epoch": 1.51, "percentage": 50.27, "elapsed_time": "6 days, 1:13:09", "remaining_time": "5 days, 23:40:33"} +{"current_steps": 12520, "total_steps": 24897, "loss": 0.8463, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016911887902490986, "epoch": 1.51, "percentage": 50.29, "elapsed_time": "6 days, 1:16:52", "remaining_time": "5 days, 23:37:18"} +{"current_steps": 12525, "total_steps": 24897, "loss": 0.8428, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016901680976855096, "epoch": 1.51, "percentage": 50.31, "elapsed_time": "6 days, 1:20:34", "remaining_time": "5 days, 23:34:03"} +{"current_steps": 12530, "total_steps": 24897, "loss": 0.9324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016891473156224976, "epoch": 1.51, "percentage": 50.33, "elapsed_time": "6 days, 1:24:17", "remaining_time": "5 days, 23:30:48"} +{"current_steps": 12535, "total_steps": 24897, "loss": 0.8497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016881264445404786, "epoch": 1.51, "percentage": 50.35, "elapsed_time": "6 days, 1:28:01", "remaining_time": "5 days, 23:27:34"} +{"current_steps": 12540, "total_steps": 24897, "loss": 0.8034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016871054849199068, "epoch": 1.51, "percentage": 50.37, "elapsed_time": "6 days, 1:31:44", "remaining_time": "5 days, 23:24:18"} +{"current_steps": 12545, "total_steps": 24897, "loss": 0.8216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016860844372412802, "epoch": 1.51, "percentage": 50.39, "elapsed_time": "6 days, 1:35:25", "remaining_time": "5 days, 23:21:02"} +{"current_steps": 12550, "total_steps": 24897, "loss": 0.8422, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016850633019851378, "epoch": 1.51, "percentage": 50.41, "elapsed_time": "6 days, 1:39:07", "remaining_time": "5 days, 23:17:46"} +{"current_steps": 12555, "total_steps": 24897, "loss": 0.9161, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016840420796320602, "epoch": 1.51, "percentage": 50.43, "elapsed_time": "6 days, 1:42:50", "remaining_time": "5 days, 23:14:31"} +{"current_steps": 12560, "total_steps": 24897, "loss": 0.7847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016830207706626675, "epoch": 1.51, "percentage": 50.45, "elapsed_time": "6 days, 1:46:32", "remaining_time": "5 days, 23:11:15"} +{"current_steps": 12565, "total_steps": 24897, "loss": 0.8049, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016819993755576225, "epoch": 1.51, "percentage": 50.47, "elapsed_time": "6 days, 1:50:15", "remaining_time": "5 days, 23:07:59"} +{"current_steps": 12570, "total_steps": 24897, "loss": 0.8428, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016809778947976273, "epoch": 1.51, "percentage": 50.49, "elapsed_time": "6 days, 1:53:57", "remaining_time": "5 days, 23:04:43"} +{"current_steps": 12575, "total_steps": 24897, "loss": 0.8095, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016799563288634247, "epoch": 1.52, "percentage": 50.51, "elapsed_time": "6 days, 1:57:39", "remaining_time": "5 days, 23:01:27"} +{"current_steps": 12580, "total_steps": 24897, "loss": 0.7919, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016789346782357975, "epoch": 1.52, "percentage": 50.53, "elapsed_time": "6 days, 2:01:22", "remaining_time": "5 days, 22:58:12"} +{"current_steps": 12585, "total_steps": 24897, "loss": 0.8591, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016779129433955686, "epoch": 1.52, "percentage": 50.55, "elapsed_time": "6 days, 2:05:04", "remaining_time": "5 days, 22:54:56"} +{"current_steps": 12590, "total_steps": 24897, "loss": 0.8812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016768911248236001, "epoch": 1.52, "percentage": 50.57, "elapsed_time": "6 days, 2:08:47", "remaining_time": "5 days, 22:51:41"} +{"current_steps": 12595, "total_steps": 24897, "loss": 0.8109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016758692230007939, "epoch": 1.52, "percentage": 50.59, "elapsed_time": "6 days, 2:12:29", "remaining_time": "5 days, 22:48:25"} +{"current_steps": 12600, "total_steps": 24897, "loss": 0.944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016748472384080912, "epoch": 1.52, "percentage": 50.61, "elapsed_time": "6 days, 2:16:12", "remaining_time": "5 days, 22:45:09"} +{"current_steps": 12605, "total_steps": 24897, "loss": 0.9143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001673825171526471, "epoch": 1.52, "percentage": 50.63, "elapsed_time": "6 days, 2:19:58", "remaining_time": "5 days, 22:41:57"} +{"current_steps": 12610, "total_steps": 24897, "loss": 0.9372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001672803022836953, "epoch": 1.52, "percentage": 50.65, "elapsed_time": "6 days, 2:23:41", "remaining_time": "5 days, 22:38:41"} +{"current_steps": 12615, "total_steps": 24897, "loss": 0.816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016717807928205936, "epoch": 1.52, "percentage": 50.67, "elapsed_time": "6 days, 2:27:23", "remaining_time": "5 days, 22:35:25"} +{"current_steps": 12620, "total_steps": 24897, "loss": 0.7269, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016707584819584885, "epoch": 1.52, "percentage": 50.69, "elapsed_time": "6 days, 2:31:06", "remaining_time": "5 days, 22:32:10"} +{"current_steps": 12625, "total_steps": 24897, "loss": 0.7855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016697360907317712, "epoch": 1.52, "percentage": 50.71, "elapsed_time": "6 days, 2:34:50", "remaining_time": "5 days, 22:28:55"} +{"current_steps": 12630, "total_steps": 24897, "loss": 0.9298, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001668713619621613, "epoch": 1.52, "percentage": 50.73, "elapsed_time": "6 days, 2:38:33", "remaining_time": "5 days, 22:25:40"} +{"current_steps": 12635, "total_steps": 24897, "loss": 0.8385, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016676910691092224, "epoch": 1.52, "percentage": 50.75, "elapsed_time": "6 days, 2:42:15", "remaining_time": "5 days, 22:22:24"} +{"current_steps": 12640, "total_steps": 24897, "loss": 0.7968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016666684396758459, "epoch": 1.52, "percentage": 50.77, "elapsed_time": "6 days, 2:45:58", "remaining_time": "5 days, 22:19:08"} +{"current_steps": 12645, "total_steps": 24897, "loss": 0.8045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016656457318027667, "epoch": 1.52, "percentage": 50.79, "elapsed_time": "6 days, 2:49:39", "remaining_time": "5 days, 22:15:52"} +{"current_steps": 12650, "total_steps": 24897, "loss": 0.8332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001664622945971305, "epoch": 1.52, "percentage": 50.81, "elapsed_time": "6 days, 2:53:22", "remaining_time": "5 days, 22:12:36"} +{"current_steps": 12655, "total_steps": 24897, "loss": 0.8432, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016636000826628184, "epoch": 1.52, "percentage": 50.83, "elapsed_time": "6 days, 2:57:04", "remaining_time": "5 days, 22:09:19"} +{"current_steps": 12660, "total_steps": 24897, "loss": 0.998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016625771423586991, "epoch": 1.53, "percentage": 50.85, "elapsed_time": "6 days, 3:00:47", "remaining_time": "5 days, 22:06:03"} +{"current_steps": 12665, "total_steps": 24897, "loss": 0.796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016615541255403786, "epoch": 1.53, "percentage": 50.87, "elapsed_time": "6 days, 3:04:29", "remaining_time": "5 days, 22:02:47"} +{"current_steps": 12670, "total_steps": 24897, "loss": 0.8544, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001660531032689321, "epoch": 1.53, "percentage": 50.89, "elapsed_time": "6 days, 3:08:12", "remaining_time": "5 days, 21:59:31"} +{"current_steps": 12675, "total_steps": 24897, "loss": 0.8947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001659507864287029, "epoch": 1.53, "percentage": 50.91, "elapsed_time": "6 days, 3:11:54", "remaining_time": "5 days, 21:56:15"} +{"current_steps": 12680, "total_steps": 24897, "loss": 0.7654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016584846208150383, "epoch": 1.53, "percentage": 50.93, "elapsed_time": "6 days, 3:15:37", "remaining_time": "5 days, 21:52:59"} +{"current_steps": 12685, "total_steps": 24897, "loss": 0.9368, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016574613027549217, "epoch": 1.53, "percentage": 50.95, "elapsed_time": "6 days, 3:19:19", "remaining_time": "5 days, 21:49:43"} +{"current_steps": 12690, "total_steps": 24897, "loss": 0.8522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016564379105882873, "epoch": 1.53, "percentage": 50.97, "elapsed_time": "6 days, 3:23:01", "remaining_time": "5 days, 21:46:27"} +{"current_steps": 12695, "total_steps": 24897, "loss": 0.9038, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001655414444796777, "epoch": 1.53, "percentage": 50.99, "elapsed_time": "6 days, 3:26:44", "remaining_time": "5 days, 21:43:10"} +{"current_steps": 12700, "total_steps": 24897, "loss": 0.8622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001654390905862068, "epoch": 1.53, "percentage": 51.01, "elapsed_time": "6 days, 3:30:27", "remaining_time": "5 days, 21:39:55"} +{"current_steps": 12705, "total_steps": 24897, "loss": 0.7946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016533672942658717, "epoch": 1.53, "percentage": 51.03, "elapsed_time": "6 days, 3:34:12", "remaining_time": "5 days, 21:36:41"} +{"current_steps": 12710, "total_steps": 24897, "loss": 0.8187, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001652343610489933, "epoch": 1.53, "percentage": 51.05, "elapsed_time": "6 days, 3:37:54", "remaining_time": "5 days, 21:33:24"} +{"current_steps": 12715, "total_steps": 24897, "loss": 0.7751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016513198550160326, "epoch": 1.53, "percentage": 51.07, "elapsed_time": "6 days, 3:41:36", "remaining_time": "5 days, 21:30:08"} +{"current_steps": 12720, "total_steps": 24897, "loss": 0.807, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016502960283259823, "epoch": 1.53, "percentage": 51.09, "elapsed_time": "6 days, 3:45:19", "remaining_time": "5 days, 21:26:52"} +{"current_steps": 12725, "total_steps": 24897, "loss": 0.8671, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016492721309016307, "epoch": 1.53, "percentage": 51.11, "elapsed_time": "6 days, 3:49:01", "remaining_time": "5 days, 21:23:35"} +{"current_steps": 12730, "total_steps": 24897, "loss": 0.8272, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016482481632248568, "epoch": 1.53, "percentage": 51.13, "elapsed_time": "6 days, 3:52:43", "remaining_time": "5 days, 21:20:18"} +{"current_steps": 12735, "total_steps": 24897, "loss": 0.7704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016472241257775743, "epoch": 1.53, "percentage": 51.15, "elapsed_time": "6 days, 3:56:26", "remaining_time": "5 days, 21:17:03"} +{"current_steps": 12740, "total_steps": 24897, "loss": 0.9716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016462000190417292, "epoch": 1.54, "percentage": 51.17, "elapsed_time": "6 days, 4:00:08", "remaining_time": "5 days, 21:13:46"} +{"current_steps": 12745, "total_steps": 24897, "loss": 0.8371, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016451758434992997, "epoch": 1.54, "percentage": 51.19, "elapsed_time": "6 days, 4:03:50", "remaining_time": "5 days, 21:10:30"} +{"current_steps": 12750, "total_steps": 24897, "loss": 0.8307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016441515996322973, "epoch": 1.54, "percentage": 51.21, "elapsed_time": "6 days, 4:07:33", "remaining_time": "5 days, 21:07:13"} +{"current_steps": 12755, "total_steps": 24897, "loss": 0.8213, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016431272879227648, "epoch": 1.54, "percentage": 51.23, "elapsed_time": "6 days, 4:11:15", "remaining_time": "5 days, 21:03:57"} +{"current_steps": 12760, "total_steps": 24897, "loss": 0.8662, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016421029088527775, "epoch": 1.54, "percentage": 51.25, "elapsed_time": "6 days, 4:14:59", "remaining_time": "5 days, 21:00:41"} +{"current_steps": 12765, "total_steps": 24897, "loss": 0.9062, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016410784629044422, "epoch": 1.54, "percentage": 51.27, "elapsed_time": "6 days, 4:18:42", "remaining_time": "5 days, 20:57:25"} +{"current_steps": 12770, "total_steps": 24897, "loss": 0.9274, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016400539505598974, "epoch": 1.54, "percentage": 51.29, "elapsed_time": "6 days, 4:22:25", "remaining_time": "5 days, 20:54:10"} +{"current_steps": 12775, "total_steps": 24897, "loss": 0.9382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016390293723013124, "epoch": 1.54, "percentage": 51.31, "elapsed_time": "6 days, 4:26:07", "remaining_time": "5 days, 20:50:53"} +{"current_steps": 12780, "total_steps": 24897, "loss": 0.8704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016380047286108874, "epoch": 1.54, "percentage": 51.33, "elapsed_time": "6 days, 4:29:49", "remaining_time": "5 days, 20:47:36"} +{"current_steps": 12785, "total_steps": 24897, "loss": 0.9505, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016369800199708546, "epoch": 1.54, "percentage": 51.35, "elapsed_time": "6 days, 4:33:31", "remaining_time": "5 days, 20:44:19"} +{"current_steps": 12790, "total_steps": 24897, "loss": 0.806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016359552468634748, "epoch": 1.54, "percentage": 51.37, "elapsed_time": "6 days, 4:37:14", "remaining_time": "5 days, 20:41:02"} +{"current_steps": 12795, "total_steps": 24897, "loss": 0.8412, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016349304097710416, "epoch": 1.54, "percentage": 51.39, "elapsed_time": "6 days, 4:40:56", "remaining_time": "5 days, 20:37:45"} +{"current_steps": 12800, "total_steps": 24897, "loss": 0.91, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016339055091758764, "epoch": 1.54, "percentage": 51.41, "elapsed_time": "6 days, 4:44:38", "remaining_time": "5 days, 20:34:29"} +{"current_steps": 12805, "total_steps": 24897, "loss": 0.8517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016328805455603315, "epoch": 1.54, "percentage": 51.43, "elapsed_time": "6 days, 4:48:25", "remaining_time": "5 days, 20:31:16"} +{"current_steps": 12810, "total_steps": 24897, "loss": 0.9092, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016318555194067892, "epoch": 1.54, "percentage": 51.45, "elapsed_time": "6 days, 4:52:09", "remaining_time": "5 days, 20:28:01"} +{"current_steps": 12815, "total_steps": 24897, "loss": 0.7538, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016308304311976604, "epoch": 1.54, "percentage": 51.47, "elapsed_time": "6 days, 4:55:52", "remaining_time": "5 days, 20:24:45"} +{"current_steps": 12820, "total_steps": 24897, "loss": 0.9275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016298052814153866, "epoch": 1.54, "percentage": 51.49, "elapsed_time": "6 days, 4:59:35", "remaining_time": "5 days, 20:21:29"} +{"current_steps": 12825, "total_steps": 24897, "loss": 0.8563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016287800705424362, "epoch": 1.55, "percentage": 51.51, "elapsed_time": "6 days, 5:03:19", "remaining_time": "5 days, 20:18:13"} +{"current_steps": 12830, "total_steps": 24897, "loss": 0.9009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016277547990613083, "epoch": 1.55, "percentage": 51.53, "elapsed_time": "6 days, 5:07:02", "remaining_time": "5 days, 20:14:57"} +{"current_steps": 12835, "total_steps": 24897, "loss": 0.9061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016267294674545286, "epoch": 1.55, "percentage": 51.55, "elapsed_time": "6 days, 5:10:44", "remaining_time": "5 days, 20:11:40"} +{"current_steps": 12840, "total_steps": 24897, "loss": 0.9004, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001625704076204654, "epoch": 1.55, "percentage": 51.57, "elapsed_time": "6 days, 5:14:28", "remaining_time": "5 days, 20:08:25"} +{"current_steps": 12845, "total_steps": 24897, "loss": 0.9063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016246786257942658, "epoch": 1.55, "percentage": 51.59, "elapsed_time": "6 days, 5:18:12", "remaining_time": "5 days, 20:05:09"} +{"current_steps": 12850, "total_steps": 24897, "loss": 0.8174, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016236531167059762, "epoch": 1.55, "percentage": 51.61, "elapsed_time": "6 days, 5:21:55", "remaining_time": "5 days, 20:01:53"} +{"current_steps": 12855, "total_steps": 24897, "loss": 0.8916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016226275494224233, "epoch": 1.55, "percentage": 51.63, "elapsed_time": "6 days, 5:25:40", "remaining_time": "5 days, 19:58:38"} +{"current_steps": 12860, "total_steps": 24897, "loss": 0.8149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016216019244262735, "epoch": 1.55, "percentage": 51.65, "elapsed_time": "6 days, 5:29:23", "remaining_time": "5 days, 19:55:22"} +{"current_steps": 12865, "total_steps": 24897, "loss": 0.8223, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016205762422002198, "epoch": 1.55, "percentage": 51.67, "elapsed_time": "6 days, 5:33:06", "remaining_time": "5 days, 19:52:06"} +{"current_steps": 12870, "total_steps": 24897, "loss": 0.8929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016195505032269821, "epoch": 1.55, "percentage": 51.69, "elapsed_time": "6 days, 5:36:49", "remaining_time": "5 days, 19:48:49"} +{"current_steps": 12875, "total_steps": 24897, "loss": 0.919, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016185247079893075, "epoch": 1.55, "percentage": 51.71, "elapsed_time": "6 days, 5:40:32", "remaining_time": "5 days, 19:45:33"} +{"current_steps": 12880, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016174988569699696, "epoch": 1.55, "percentage": 51.73, "elapsed_time": "6 days, 5:44:15", "remaining_time": "5 days, 19:42:17"} +{"current_steps": 12885, "total_steps": 24897, "loss": 0.7699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001616472950651767, "epoch": 1.55, "percentage": 51.75, "elapsed_time": "6 days, 5:47:59", "remaining_time": "5 days, 19:39:01"} +{"current_steps": 12890, "total_steps": 24897, "loss": 0.9605, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016154469895175266, "epoch": 1.55, "percentage": 51.77, "elapsed_time": "6 days, 5:51:43", "remaining_time": "5 days, 19:35:45"} +{"current_steps": 12895, "total_steps": 24897, "loss": 0.8723, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016144209740500982, "epoch": 1.55, "percentage": 51.79, "elapsed_time": "6 days, 5:55:26", "remaining_time": "5 days, 19:32:29"} +{"current_steps": 12900, "total_steps": 24897, "loss": 0.8958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000161339490473236, "epoch": 1.55, "percentage": 51.81, "elapsed_time": "6 days, 5:59:10", "remaining_time": "5 days, 19:29:13"} +{"current_steps": 12905, "total_steps": 24897, "loss": 0.797, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016123687820472139, "epoch": 1.55, "percentage": 51.83, "elapsed_time": "6 days, 6:02:56", "remaining_time": "5 days, 19:26:00"} +{"current_steps": 12910, "total_steps": 24897, "loss": 0.8496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016113426064775875, "epoch": 1.56, "percentage": 51.85, "elapsed_time": "6 days, 6:06:40", "remaining_time": "5 days, 19:22:44"} +{"current_steps": 12915, "total_steps": 24897, "loss": 0.8458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016103163785064327, "epoch": 1.56, "percentage": 51.87, "elapsed_time": "6 days, 6:10:24", "remaining_time": "5 days, 19:19:28"} +{"current_steps": 12920, "total_steps": 24897, "loss": 0.8408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001609290098616727, "epoch": 1.56, "percentage": 51.89, "elapsed_time": "6 days, 6:14:07", "remaining_time": "5 days, 19:16:12"} +{"current_steps": 12925, "total_steps": 24897, "loss": 0.8522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001608263767291471, "epoch": 1.56, "percentage": 51.91, "elapsed_time": "6 days, 6:17:51", "remaining_time": "5 days, 19:12:56"} +{"current_steps": 12930, "total_steps": 24897, "loss": 0.9328, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016072373850136912, "epoch": 1.56, "percentage": 51.93, "elapsed_time": "6 days, 6:21:35", "remaining_time": "5 days, 19:09:41"} +{"current_steps": 12935, "total_steps": 24897, "loss": 0.8523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016062109522664366, "epoch": 1.56, "percentage": 51.95, "elapsed_time": "6 days, 6:25:19", "remaining_time": "5 days, 19:06:25"} +{"current_steps": 12940, "total_steps": 24897, "loss": 0.8542, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016051844695327806, "epoch": 1.56, "percentage": 51.97, "elapsed_time": "6 days, 6:29:03", "remaining_time": "5 days, 19:03:09"} +{"current_steps": 12945, "total_steps": 24897, "loss": 0.9122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000160415793729582, "epoch": 1.56, "percentage": 51.99, "elapsed_time": "6 days, 6:32:47", "remaining_time": "5 days, 18:59:53"} +{"current_steps": 12950, "total_steps": 24897, "loss": 0.8236, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016031313560386758, "epoch": 1.56, "percentage": 52.01, "elapsed_time": "6 days, 6:36:31", "remaining_time": "5 days, 18:56:37"} +{"current_steps": 12955, "total_steps": 24897, "loss": 0.8815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000160210472624449, "epoch": 1.56, "percentage": 52.03, "elapsed_time": "6 days, 6:40:15", "remaining_time": "5 days, 18:53:21"} +{"current_steps": 12960, "total_steps": 24897, "loss": 0.8111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016010780483964295, "epoch": 1.56, "percentage": 52.05, "elapsed_time": "6 days, 6:43:59", "remaining_time": "5 days, 18:50:05"} +{"current_steps": 12965, "total_steps": 24897, "loss": 0.919, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00016000513229776826, "epoch": 1.56, "percentage": 52.07, "elapsed_time": "6 days, 6:47:42", "remaining_time": "5 days, 18:46:49"} +{"current_steps": 12970, "total_steps": 24897, "loss": 0.7909, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015990245504714608, "epoch": 1.56, "percentage": 52.09, "elapsed_time": "6 days, 6:51:27", "remaining_time": "5 days, 18:43:34"} +{"current_steps": 12975, "total_steps": 24897, "loss": 0.8933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015979977313609965, "epoch": 1.56, "percentage": 52.11, "elapsed_time": "6 days, 6:55:10", "remaining_time": "5 days, 18:40:17"} +{"current_steps": 12980, "total_steps": 24897, "loss": 0.8644, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015969708661295456, "epoch": 1.56, "percentage": 52.13, "elapsed_time": "6 days, 6:58:54", "remaining_time": "5 days, 18:37:01"} +{"current_steps": 12985, "total_steps": 24897, "loss": 0.8707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001595943955260385, "epoch": 1.56, "percentage": 52.15, "elapsed_time": "6 days, 7:02:38", "remaining_time": "5 days, 18:33:45"} +{"current_steps": 12990, "total_steps": 24897, "loss": 0.7392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001594916999236813, "epoch": 1.57, "percentage": 52.17, "elapsed_time": "6 days, 7:06:22", "remaining_time": "5 days, 18:30:29"} +{"current_steps": 12995, "total_steps": 24897, "loss": 0.794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015938899985421486, "epoch": 1.57, "percentage": 52.2, "elapsed_time": "6 days, 7:10:06", "remaining_time": "5 days, 18:27:13"} +{"current_steps": 13000, "total_steps": 24897, "loss": 0.8355, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015928629536597332, "epoch": 1.57, "percentage": 52.22, "elapsed_time": "6 days, 7:13:50", "remaining_time": "5 days, 18:23:57"} +{"current_steps": 13005, "total_steps": 24897, "loss": 0.763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015918358650729276, "epoch": 1.57, "percentage": 52.24, "elapsed_time": "6 days, 7:17:37", "remaining_time": "5 days, 18:20:44"} +{"current_steps": 13010, "total_steps": 24897, "loss": 0.86, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015908087332651142, "epoch": 1.57, "percentage": 52.26, "elapsed_time": "6 days, 7:21:21", "remaining_time": "5 days, 18:17:28"} +{"current_steps": 13015, "total_steps": 24897, "loss": 0.8247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015897815587196954, "epoch": 1.57, "percentage": 52.28, "elapsed_time": "6 days, 7:25:04", "remaining_time": "5 days, 18:14:11"} +{"current_steps": 13020, "total_steps": 24897, "loss": 0.9216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015887543419200936, "epoch": 1.57, "percentage": 52.3, "elapsed_time": "6 days, 7:28:47", "remaining_time": "5 days, 18:10:54"} +{"current_steps": 13025, "total_steps": 24897, "loss": 0.8575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001587727083349751, "epoch": 1.57, "percentage": 52.32, "elapsed_time": "6 days, 7:32:31", "remaining_time": "5 days, 18:07:38"} +{"current_steps": 13030, "total_steps": 24897, "loss": 0.9212, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000158669978349213, "epoch": 1.57, "percentage": 52.34, "elapsed_time": "6 days, 7:36:15", "remaining_time": "5 days, 18:04:22"} +{"current_steps": 13035, "total_steps": 24897, "loss": 0.8684, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001585672442830711, "epoch": 1.57, "percentage": 52.36, "elapsed_time": "6 days, 7:39:59", "remaining_time": "5 days, 18:01:05"} +{"current_steps": 13040, "total_steps": 24897, "loss": 0.7974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015846450618489958, "epoch": 1.57, "percentage": 52.38, "elapsed_time": "6 days, 7:43:43", "remaining_time": "5 days, 17:57:50"} +{"current_steps": 13045, "total_steps": 24897, "loss": 0.832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001583617641030503, "epoch": 1.57, "percentage": 52.4, "elapsed_time": "6 days, 7:47:27", "remaining_time": "5 days, 17:54:33"} +{"current_steps": 13050, "total_steps": 24897, "loss": 0.7578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001582590180858772, "epoch": 1.57, "percentage": 52.42, "elapsed_time": "6 days, 7:51:11", "remaining_time": "5 days, 17:51:17"} +{"current_steps": 13055, "total_steps": 24897, "loss": 0.8231, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001581562681817359, "epoch": 1.57, "percentage": 52.44, "elapsed_time": "6 days, 7:54:56", "remaining_time": "5 days, 17:48:01"} +{"current_steps": 13060, "total_steps": 24897, "loss": 0.7481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015805351443898388, "epoch": 1.57, "percentage": 52.46, "elapsed_time": "6 days, 7:58:39", "remaining_time": "5 days, 17:44:44"} +{"current_steps": 13065, "total_steps": 24897, "loss": 0.7635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001579507569059806, "epoch": 1.57, "percentage": 52.48, "elapsed_time": "6 days, 8:02:22", "remaining_time": "5 days, 17:41:27"} +{"current_steps": 13070, "total_steps": 24897, "loss": 0.8822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015784799563108706, "epoch": 1.57, "percentage": 52.5, "elapsed_time": "6 days, 8:06:06", "remaining_time": "5 days, 17:38:11"} +{"current_steps": 13075, "total_steps": 24897, "loss": 0.8427, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015774523066266612, "epoch": 1.58, "percentage": 52.52, "elapsed_time": "6 days, 8:09:49", "remaining_time": "5 days, 17:34:54"} +{"current_steps": 13080, "total_steps": 24897, "loss": 0.9294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015764246204908245, "epoch": 1.58, "percentage": 52.54, "elapsed_time": "6 days, 8:13:32", "remaining_time": "5 days, 17:31:36"} +{"current_steps": 13085, "total_steps": 24897, "loss": 0.9377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001575396898387023, "epoch": 1.58, "percentage": 52.56, "elapsed_time": "6 days, 8:17:16", "remaining_time": "5 days, 17:28:20"} +{"current_steps": 13090, "total_steps": 24897, "loss": 0.9284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015743691407989378, "epoch": 1.58, "percentage": 52.58, "elapsed_time": "6 days, 8:21:00", "remaining_time": "5 days, 17:25:03"} +{"current_steps": 13095, "total_steps": 24897, "loss": 0.867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015733413482102652, "epoch": 1.58, "percentage": 52.6, "elapsed_time": "6 days, 8:24:45", "remaining_time": "5 days, 17:21:47"} +{"current_steps": 13100, "total_steps": 24897, "loss": 0.8203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015723135211047186, "epoch": 1.58, "percentage": 52.62, "elapsed_time": "6 days, 8:28:29", "remaining_time": "5 days, 17:18:32"} +{"current_steps": 13105, "total_steps": 24897, "loss": 0.9256, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015712856599660267, "epoch": 1.58, "percentage": 52.64, "elapsed_time": "6 days, 8:32:20", "remaining_time": "5 days, 17:15:21"} +{"current_steps": 13110, "total_steps": 24897, "loss": 0.8556, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015702577652779368, "epoch": 1.58, "percentage": 52.66, "elapsed_time": "6 days, 8:36:05", "remaining_time": "5 days, 17:12:06"} +{"current_steps": 13115, "total_steps": 24897, "loss": 0.8452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015692298375242087, "epoch": 1.58, "percentage": 52.68, "elapsed_time": "6 days, 8:39:49", "remaining_time": "5 days, 17:08:49"} +{"current_steps": 13120, "total_steps": 24897, "loss": 0.8142, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015682018771886203, "epoch": 1.58, "percentage": 52.7, "elapsed_time": "6 days, 8:43:33", "remaining_time": "5 days, 17:05:32"} +{"current_steps": 13125, "total_steps": 24897, "loss": 0.9639, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015671738847549633, "epoch": 1.58, "percentage": 52.72, "elapsed_time": "6 days, 8:47:15", "remaining_time": "5 days, 17:02:14"} +{"current_steps": 13130, "total_steps": 24897, "loss": 1.0137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001566145860707046, "epoch": 1.58, "percentage": 52.74, "elapsed_time": "6 days, 8:50:58", "remaining_time": "5 days, 16:58:57"} +{"current_steps": 13135, "total_steps": 24897, "loss": 0.9417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015651178055286897, "epoch": 1.58, "percentage": 52.76, "elapsed_time": "6 days, 8:54:42", "remaining_time": "5 days, 16:55:40"} +{"current_steps": 13140, "total_steps": 24897, "loss": 0.91, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001564089719703732, "epoch": 1.58, "percentage": 52.78, "elapsed_time": "6 days, 8:58:26", "remaining_time": "5 days, 16:52:23"} +{"current_steps": 13145, "total_steps": 24897, "loss": 0.8338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001563061603716023, "epoch": 1.58, "percentage": 52.8, "elapsed_time": "6 days, 9:02:10", "remaining_time": "5 days, 16:49:07"} +{"current_steps": 13150, "total_steps": 24897, "loss": 0.872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015620334580494297, "epoch": 1.58, "percentage": 52.82, "elapsed_time": "6 days, 9:05:54", "remaining_time": "5 days, 16:45:50"} +{"current_steps": 13155, "total_steps": 24897, "loss": 0.9121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015610052831878304, "epoch": 1.59, "percentage": 52.84, "elapsed_time": "6 days, 9:09:37", "remaining_time": "5 days, 16:42:33"} +{"current_steps": 13160, "total_steps": 24897, "loss": 0.8829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015599770796151196, "epoch": 1.59, "percentage": 52.86, "elapsed_time": "6 days, 9:13:21", "remaining_time": "5 days, 16:39:16"} +{"current_steps": 13165, "total_steps": 24897, "loss": 0.8247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015589488478152027, "epoch": 1.59, "percentage": 52.88, "elapsed_time": "6 days, 9:17:06", "remaining_time": "5 days, 16:36:00"} +{"current_steps": 13170, "total_steps": 24897, "loss": 0.8603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015579205882720014, "epoch": 1.59, "percentage": 52.9, "elapsed_time": "6 days, 9:20:51", "remaining_time": "5 days, 16:32:44"} +{"current_steps": 13175, "total_steps": 24897, "loss": 0.8257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001556892301469447, "epoch": 1.59, "percentage": 52.92, "elapsed_time": "6 days, 9:24:33", "remaining_time": "5 days, 16:29:26"} +{"current_steps": 13180, "total_steps": 24897, "loss": 0.7699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001555863987891486, "epoch": 1.59, "percentage": 52.94, "elapsed_time": "6 days, 9:28:16", "remaining_time": "5 days, 16:26:08"} +{"current_steps": 13185, "total_steps": 24897, "loss": 0.9528, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015548356480220773, "epoch": 1.59, "percentage": 52.96, "elapsed_time": "6 days, 9:32:00", "remaining_time": "5 days, 16:22:51"} +{"current_steps": 13190, "total_steps": 24897, "loss": 0.809, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001553807282345192, "epoch": 1.59, "percentage": 52.98, "elapsed_time": "6 days, 9:35:44", "remaining_time": "5 days, 16:19:34"} +{"current_steps": 13195, "total_steps": 24897, "loss": 0.9084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015527788913448124, "epoch": 1.59, "percentage": 53.0, "elapsed_time": "6 days, 9:39:27", "remaining_time": "5 days, 16:16:17"} +{"current_steps": 13200, "total_steps": 24897, "loss": 0.8321, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001551750475504934, "epoch": 1.59, "percentage": 53.02, "elapsed_time": "6 days, 9:43:11", "remaining_time": "5 days, 16:13:00"} +{"current_steps": 13205, "total_steps": 24897, "loss": 0.8252, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001550722035309563, "epoch": 1.59, "percentage": 53.04, "elapsed_time": "6 days, 9:47:02", "remaining_time": "5 days, 16:09:49"} +{"current_steps": 13210, "total_steps": 24897, "loss": 0.7994, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015496935712427183, "epoch": 1.59, "percentage": 53.06, "elapsed_time": "6 days, 9:50:47", "remaining_time": "5 days, 16:06:33"} +{"current_steps": 13215, "total_steps": 24897, "loss": 0.891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015486650837884277, "epoch": 1.59, "percentage": 53.08, "elapsed_time": "6 days, 9:54:31", "remaining_time": "5 days, 16:03:17"} +{"current_steps": 13220, "total_steps": 24897, "loss": 0.853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015476365734307335, "epoch": 1.59, "percentage": 53.1, "elapsed_time": "6 days, 9:58:15", "remaining_time": "5 days, 15:59:59"} +{"current_steps": 13225, "total_steps": 24897, "loss": 0.8453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015466080406536853, "epoch": 1.59, "percentage": 53.12, "elapsed_time": "6 days, 10:02:00", "remaining_time": "5 days, 15:56:43"} +{"current_steps": 13230, "total_steps": 24897, "loss": 0.7921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015455794859413458, "epoch": 1.59, "percentage": 53.14, "elapsed_time": "6 days, 10:05:43", "remaining_time": "5 days, 15:53:26"} +{"current_steps": 13235, "total_steps": 24897, "loss": 0.8082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001544550909777786, "epoch": 1.59, "percentage": 53.16, "elapsed_time": "6 days, 10:09:27", "remaining_time": "5 days, 15:50:08"} +{"current_steps": 13240, "total_steps": 24897, "loss": 0.9131, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001543522312647089, "epoch": 1.6, "percentage": 53.18, "elapsed_time": "6 days, 10:13:11", "remaining_time": "5 days, 15:46:51"} +{"current_steps": 13245, "total_steps": 24897, "loss": 0.9213, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015424936950333463, "epoch": 1.6, "percentage": 53.2, "elapsed_time": "6 days, 10:16:55", "remaining_time": "5 days, 15:43:34"} +{"current_steps": 13250, "total_steps": 24897, "loss": 0.8611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015414650574206595, "epoch": 1.6, "percentage": 53.22, "elapsed_time": "6 days, 10:20:39", "remaining_time": "5 days, 15:40:17"} +{"current_steps": 13255, "total_steps": 24897, "loss": 0.8195, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015404364002931397, "epoch": 1.6, "percentage": 53.24, "elapsed_time": "6 days, 10:24:23", "remaining_time": "5 days, 15:37:00"} +{"current_steps": 13260, "total_steps": 24897, "loss": 0.8752, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015394077241349073, "epoch": 1.6, "percentage": 53.26, "elapsed_time": "6 days, 10:28:07", "remaining_time": "5 days, 15:33:43"} +{"current_steps": 13265, "total_steps": 24897, "loss": 0.8054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015383790294300908, "epoch": 1.6, "percentage": 53.28, "elapsed_time": "6 days, 10:31:51", "remaining_time": "5 days, 15:30:26"} +{"current_steps": 13270, "total_steps": 24897, "loss": 0.8523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015373503166628288, "epoch": 1.6, "percentage": 53.3, "elapsed_time": "6 days, 10:35:35", "remaining_time": "5 days, 15:27:08"} +{"current_steps": 13275, "total_steps": 24897, "loss": 0.9308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015363215863172671, "epoch": 1.6, "percentage": 53.32, "elapsed_time": "6 days, 10:39:19", "remaining_time": "5 days, 15:23:51"} +{"current_steps": 13280, "total_steps": 24897, "loss": 0.8854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015352928388775612, "epoch": 1.6, "percentage": 53.34, "elapsed_time": "6 days, 10:43:03", "remaining_time": "5 days, 15:20:34"} +{"current_steps": 13285, "total_steps": 24897, "loss": 0.8225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015342640748278725, "epoch": 1.6, "percentage": 53.36, "elapsed_time": "6 days, 10:46:47", "remaining_time": "5 days, 15:17:17"} +{"current_steps": 13290, "total_steps": 24897, "loss": 0.8141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015332352946523733, "epoch": 1.6, "percentage": 53.38, "elapsed_time": "6 days, 10:50:31", "remaining_time": "5 days, 15:14:00"} +{"current_steps": 13295, "total_steps": 24897, "loss": 0.7063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000153220649883524, "epoch": 1.6, "percentage": 53.4, "elapsed_time": "6 days, 10:54:15", "remaining_time": "5 days, 15:10:43"} +{"current_steps": 13300, "total_steps": 24897, "loss": 0.8755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001531177687860659, "epoch": 1.6, "percentage": 53.42, "elapsed_time": "6 days, 10:58:00", "remaining_time": "5 days, 15:07:26"} +{"current_steps": 13305, "total_steps": 24897, "loss": 0.867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015301488622128224, "epoch": 1.6, "percentage": 53.44, "elapsed_time": "6 days, 11:01:50", "remaining_time": "5 days, 15:04:14"} +{"current_steps": 13310, "total_steps": 24897, "loss": 0.881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015291200223759306, "epoch": 1.6, "percentage": 53.46, "elapsed_time": "6 days, 11:05:35", "remaining_time": "5 days, 15:00:57"} +{"current_steps": 13315, "total_steps": 24897, "loss": 0.835, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001528091168834189, "epoch": 1.6, "percentage": 53.48, "elapsed_time": "6 days, 11:09:19", "remaining_time": "5 days, 14:57:40"} +{"current_steps": 13320, "total_steps": 24897, "loss": 0.8976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015270623020718102, "epoch": 1.6, "percentage": 53.5, "elapsed_time": "6 days, 11:13:03", "remaining_time": "5 days, 14:54:23"} +{"current_steps": 13325, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015260334225730137, "epoch": 1.61, "percentage": 53.52, "elapsed_time": "6 days, 11:16:47", "remaining_time": "5 days, 14:51:05"} +{"current_steps": 13330, "total_steps": 24897, "loss": 0.8537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015250045308220236, "epoch": 1.61, "percentage": 53.54, "elapsed_time": "6 days, 11:20:30", "remaining_time": "5 days, 14:47:48"} +{"current_steps": 13335, "total_steps": 24897, "loss": 0.8983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015239756273030715, "epoch": 1.61, "percentage": 53.56, "elapsed_time": "6 days, 11:24:14", "remaining_time": "5 days, 14:44:30"} +{"current_steps": 13340, "total_steps": 24897, "loss": 0.7641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015229467125003925, "epoch": 1.61, "percentage": 53.58, "elapsed_time": "6 days, 11:27:58", "remaining_time": "5 days, 14:41:13"} +{"current_steps": 13345, "total_steps": 24897, "loss": 0.8753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015219177868982286, "epoch": 1.61, "percentage": 53.6, "elapsed_time": "6 days, 11:31:42", "remaining_time": "5 days, 14:37:55"} +{"current_steps": 13350, "total_steps": 24897, "loss": 0.9377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015208888509808267, "epoch": 1.61, "percentage": 53.62, "elapsed_time": "6 days, 11:35:26", "remaining_time": "5 days, 14:34:38"} +{"current_steps": 13355, "total_steps": 24897, "loss": 0.8637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015198599052324377, "epoch": 1.61, "percentage": 53.64, "elapsed_time": "6 days, 11:39:10", "remaining_time": "5 days, 14:31:20"} +{"current_steps": 13360, "total_steps": 24897, "loss": 0.8773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015188309501373175, "epoch": 1.61, "percentage": 53.66, "elapsed_time": "6 days, 11:42:55", "remaining_time": "5 days, 14:28:03"} +{"current_steps": 13365, "total_steps": 24897, "loss": 0.8913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001517801986179727, "epoch": 1.61, "percentage": 53.68, "elapsed_time": "6 days, 11:46:39", "remaining_time": "5 days, 14:24:46"} +{"current_steps": 13370, "total_steps": 24897, "loss": 0.8512, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015167730138439305, "epoch": 1.61, "percentage": 53.7, "elapsed_time": "6 days, 11:50:23", "remaining_time": "5 days, 14:21:28"} +{"current_steps": 13375, "total_steps": 24897, "loss": 0.934, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015157440336141967, "epoch": 1.61, "percentage": 53.72, "elapsed_time": "6 days, 11:54:08", "remaining_time": "5 days, 14:18:11"} +{"current_steps": 13380, "total_steps": 24897, "loss": 0.8259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001514715045974798, "epoch": 1.61, "percentage": 53.74, "elapsed_time": "6 days, 11:57:52", "remaining_time": "5 days, 14:14:53"} +{"current_steps": 13385, "total_steps": 24897, "loss": 0.7744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000151368605141001, "epoch": 1.61, "percentage": 53.76, "elapsed_time": "6 days, 12:01:35", "remaining_time": "5 days, 14:11:36"} +{"current_steps": 13390, "total_steps": 24897, "loss": 0.8617, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015126570504041115, "epoch": 1.61, "percentage": 53.78, "elapsed_time": "6 days, 12:05:20", "remaining_time": "5 days, 14:08:18"} +{"current_steps": 13395, "total_steps": 24897, "loss": 0.8539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001511628043441385, "epoch": 1.61, "percentage": 53.8, "elapsed_time": "6 days, 12:09:03", "remaining_time": "5 days, 14:05:00"} +{"current_steps": 13400, "total_steps": 24897, "loss": 0.8452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015105990310061146, "epoch": 1.61, "percentage": 53.82, "elapsed_time": "6 days, 12:12:46", "remaining_time": "5 days, 14:01:42"} +{"current_steps": 13405, "total_steps": 24897, "loss": 0.9384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015095700135825887, "epoch": 1.62, "percentage": 53.84, "elapsed_time": "6 days, 12:16:38", "remaining_time": "5 days, 13:58:31"} +{"current_steps": 13410, "total_steps": 24897, "loss": 0.8459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015085409916550961, "epoch": 1.62, "percentage": 53.86, "elapsed_time": "6 days, 12:20:24", "remaining_time": "5 days, 13:55:14"} +{"current_steps": 13415, "total_steps": 24897, "loss": 0.8525, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015075119657079298, "epoch": 1.62, "percentage": 53.88, "elapsed_time": "6 days, 12:24:08", "remaining_time": "5 days, 13:51:57"} +{"current_steps": 13420, "total_steps": 24897, "loss": 0.8893, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015064829362253828, "epoch": 1.62, "percentage": 53.9, "elapsed_time": "6 days, 12:27:52", "remaining_time": "5 days, 13:48:39"} +{"current_steps": 13425, "total_steps": 24897, "loss": 0.806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001505453903691751, "epoch": 1.62, "percentage": 53.92, "elapsed_time": "6 days, 12:31:36", "remaining_time": "5 days, 13:45:22"} +{"current_steps": 13430, "total_steps": 24897, "loss": 0.871, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015044248685913304, "epoch": 1.62, "percentage": 53.94, "elapsed_time": "6 days, 12:35:19", "remaining_time": "5 days, 13:42:03"} +{"current_steps": 13435, "total_steps": 24897, "loss": 0.8712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015033958314084202, "epoch": 1.62, "percentage": 53.96, "elapsed_time": "6 days, 12:39:03", "remaining_time": "5 days, 13:38:45"} +{"current_steps": 13440, "total_steps": 24897, "loss": 0.8278, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015023667926273183, "epoch": 1.62, "percentage": 53.98, "elapsed_time": "6 days, 12:42:48", "remaining_time": "5 days, 13:35:28"} +{"current_steps": 13445, "total_steps": 24897, "loss": 0.9076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00015013377527323257, "epoch": 1.62, "percentage": 54.0, "elapsed_time": "6 days, 12:46:31", "remaining_time": "5 days, 13:32:10"} +{"current_steps": 13450, "total_steps": 24897, "loss": 0.8047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001500308712207742, "epoch": 1.62, "percentage": 54.02, "elapsed_time": "6 days, 12:50:15", "remaining_time": "5 days, 13:28:52"} +{"current_steps": 13455, "total_steps": 24897, "loss": 0.8135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014992796715378686, "epoch": 1.62, "percentage": 54.04, "elapsed_time": "6 days, 12:54:00", "remaining_time": "5 days, 13:25:34"} +{"current_steps": 13460, "total_steps": 24897, "loss": 0.8727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014982506312070053, "epoch": 1.62, "percentage": 54.06, "elapsed_time": "6 days, 12:57:44", "remaining_time": "5 days, 13:22:16"} +{"current_steps": 13465, "total_steps": 24897, "loss": 0.8599, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001497221591699453, "epoch": 1.62, "percentage": 54.08, "elapsed_time": "6 days, 13:01:28", "remaining_time": "5 days, 13:18:58"} +{"current_steps": 13470, "total_steps": 24897, "loss": 0.8436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014961925534995118, "epoch": 1.62, "percentage": 54.1, "elapsed_time": "6 days, 13:05:12", "remaining_time": "5 days, 13:15:40"} +{"current_steps": 13475, "total_steps": 24897, "loss": 0.8423, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001495163517091482, "epoch": 1.62, "percentage": 54.12, "elapsed_time": "6 days, 13:08:56", "remaining_time": "5 days, 13:12:22"} +{"current_steps": 13480, "total_steps": 24897, "loss": 0.9005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014941344829596612, "epoch": 1.62, "percentage": 54.14, "elapsed_time": "6 days, 13:12:40", "remaining_time": "5 days, 13:09:04"} +{"current_steps": 13485, "total_steps": 24897, "loss": 0.8737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014931054515883473, "epoch": 1.62, "percentage": 54.16, "elapsed_time": "6 days, 13:16:24", "remaining_time": "5 days, 13:05:46"} +{"current_steps": 13490, "total_steps": 24897, "loss": 0.9345, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014920764234618373, "epoch": 1.63, "percentage": 54.18, "elapsed_time": "6 days, 13:20:08", "remaining_time": "5 days, 13:02:28"} +{"current_steps": 13495, "total_steps": 24897, "loss": 0.8573, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014910473990644254, "epoch": 1.63, "percentage": 54.2, "elapsed_time": "6 days, 13:23:52", "remaining_time": "5 days, 12:59:10"} +{"current_steps": 13500, "total_steps": 24897, "loss": 0.8759, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014900183788804048, "epoch": 1.63, "percentage": 54.22, "elapsed_time": "6 days, 13:27:36", "remaining_time": "5 days, 12:55:53"} +{"current_steps": 13505, "total_steps": 24897, "loss": 0.7835, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001488989363394066, "epoch": 1.63, "percentage": 54.24, "elapsed_time": "6 days, 13:31:27", "remaining_time": "5 days, 12:52:40"} +{"current_steps": 13510, "total_steps": 24897, "loss": 0.8517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014879603530896992, "epoch": 1.63, "percentage": 54.26, "elapsed_time": "6 days, 13:35:12", "remaining_time": "5 days, 12:49:23"} +{"current_steps": 13515, "total_steps": 24897, "loss": 0.9386, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014869313484515897, "epoch": 1.63, "percentage": 54.28, "elapsed_time": "6 days, 13:38:56", "remaining_time": "5 days, 12:46:05"} +{"current_steps": 13520, "total_steps": 24897, "loss": 0.8535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001485902349964022, "epoch": 1.63, "percentage": 54.3, "elapsed_time": "6 days, 13:42:40", "remaining_time": "5 days, 12:42:46"} +{"current_steps": 13525, "total_steps": 24897, "loss": 0.9123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001484873358111276, "epoch": 1.63, "percentage": 54.32, "elapsed_time": "6 days, 13:46:23", "remaining_time": "5 days, 12:39:28"} +{"current_steps": 13530, "total_steps": 24897, "loss": 0.8044, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014838443733776306, "epoch": 1.63, "percentage": 54.34, "elapsed_time": "6 days, 13:50:06", "remaining_time": "5 days, 12:36:09"} +{"current_steps": 13535, "total_steps": 24897, "loss": 0.8323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014828153962473593, "epoch": 1.63, "percentage": 54.36, "elapsed_time": "6 days, 13:53:51", "remaining_time": "5 days, 12:32:51"} +{"current_steps": 13540, "total_steps": 24897, "loss": 0.8261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014817864272047334, "epoch": 1.63, "percentage": 54.38, "elapsed_time": "6 days, 13:57:35", "remaining_time": "5 days, 12:29:33"} +{"current_steps": 13545, "total_steps": 24897, "loss": 0.836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014807574667340188, "epoch": 1.63, "percentage": 54.4, "elapsed_time": "6 days, 14:01:20", "remaining_time": "5 days, 12:26:15"} +{"current_steps": 13550, "total_steps": 24897, "loss": 0.799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014797285153194805, "epoch": 1.63, "percentage": 54.42, "elapsed_time": "6 days, 14:05:04", "remaining_time": "5 days, 12:22:57"} +{"current_steps": 13555, "total_steps": 24897, "loss": 0.8458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014786995734453756, "epoch": 1.63, "percentage": 54.44, "elapsed_time": "6 days, 14:08:48", "remaining_time": "5 days, 12:19:39"} +{"current_steps": 13560, "total_steps": 24897, "loss": 0.8904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001477670641595959, "epoch": 1.63, "percentage": 54.46, "elapsed_time": "6 days, 14:12:32", "remaining_time": "5 days, 12:16:21"} +{"current_steps": 13565, "total_steps": 24897, "loss": 0.8772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014766417202554798, "epoch": 1.63, "percentage": 54.48, "elapsed_time": "6 days, 14:16:17", "remaining_time": "5 days, 12:13:03"} +{"current_steps": 13570, "total_steps": 24897, "loss": 0.81, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001475612809908183, "epoch": 1.64, "percentage": 54.5, "elapsed_time": "6 days, 14:20:01", "remaining_time": "5 days, 12:09:44"} +{"current_steps": 13575, "total_steps": 24897, "loss": 0.7985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014745839110383077, "epoch": 1.64, "percentage": 54.52, "elapsed_time": "6 days, 14:23:45", "remaining_time": "5 days, 12:06:26"} +{"current_steps": 13580, "total_steps": 24897, "loss": 0.8178, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001473555024130088, "epoch": 1.64, "percentage": 54.54, "elapsed_time": "6 days, 14:27:28", "remaining_time": "5 days, 12:03:07"} +{"current_steps": 13585, "total_steps": 24897, "loss": 0.8101, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014725261496677513, "epoch": 1.64, "percentage": 54.56, "elapsed_time": "6 days, 14:31:13", "remaining_time": "5 days, 11:59:50"} +{"current_steps": 13590, "total_steps": 24897, "loss": 0.875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014714972881355216, "epoch": 1.64, "percentage": 54.58, "elapsed_time": "6 days, 14:34:57", "remaining_time": "5 days, 11:56:32"} +{"current_steps": 13595, "total_steps": 24897, "loss": 0.8671, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001470468440017615, "epoch": 1.64, "percentage": 54.6, "elapsed_time": "6 days, 14:38:41", "remaining_time": "5 days, 11:53:13"} +{"current_steps": 13600, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001469439605798241, "epoch": 1.64, "percentage": 54.63, "elapsed_time": "6 days, 14:42:25", "remaining_time": "5 days, 11:49:55"} +{"current_steps": 13605, "total_steps": 24897, "loss": 0.8186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001468410785961603, "epoch": 1.64, "percentage": 54.65, "elapsed_time": "6 days, 14:46:16", "remaining_time": "5 days, 11:46:41"} +{"current_steps": 13610, "total_steps": 24897, "loss": 0.8658, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014673819809918985, "epoch": 1.64, "percentage": 54.67, "elapsed_time": "6 days, 14:50:00", "remaining_time": "5 days, 11:43:23"} +{"current_steps": 13615, "total_steps": 24897, "loss": 0.8785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001466353191373317, "epoch": 1.64, "percentage": 54.69, "elapsed_time": "6 days, 14:53:45", "remaining_time": "5 days, 11:40:05"} +{"current_steps": 13620, "total_steps": 24897, "loss": 0.9397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001465324417590041, "epoch": 1.64, "percentage": 54.71, "elapsed_time": "6 days, 14:57:30", "remaining_time": "5 days, 11:36:47"} +{"current_steps": 13625, "total_steps": 24897, "loss": 0.8809, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014642956601262452, "epoch": 1.64, "percentage": 54.73, "elapsed_time": "6 days, 15:01:14", "remaining_time": "5 days, 11:33:29"} +{"current_steps": 13630, "total_steps": 24897, "loss": 0.9082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001463266919466098, "epoch": 1.64, "percentage": 54.75, "elapsed_time": "6 days, 15:04:58", "remaining_time": "5 days, 11:30:11"} +{"current_steps": 13635, "total_steps": 24897, "loss": 0.8458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001462238196093758, "epoch": 1.64, "percentage": 54.77, "elapsed_time": "6 days, 15:08:42", "remaining_time": "5 days, 11:26:52"} +{"current_steps": 13640, "total_steps": 24897, "loss": 0.9284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014612094904933772, "epoch": 1.64, "percentage": 54.79, "elapsed_time": "6 days, 15:12:27", "remaining_time": "5 days, 11:23:34"} +{"current_steps": 13645, "total_steps": 24897, "loss": 0.7244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014601808031490982, "epoch": 1.64, "percentage": 54.81, "elapsed_time": "6 days, 15:16:12", "remaining_time": "5 days, 11:20:16"} +{"current_steps": 13650, "total_steps": 24897, "loss": 0.7898, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014591521345450558, "epoch": 1.64, "percentage": 54.83, "elapsed_time": "6 days, 15:19:55", "remaining_time": "5 days, 11:16:57"} +{"current_steps": 13655, "total_steps": 24897, "loss": 0.8663, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014581234851653753, "epoch": 1.65, "percentage": 54.85, "elapsed_time": "6 days, 15:23:41", "remaining_time": "5 days, 11:13:40"} +{"current_steps": 13660, "total_steps": 24897, "loss": 0.8454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014570948554941735, "epoch": 1.65, "percentage": 54.87, "elapsed_time": "6 days, 15:27:26", "remaining_time": "5 days, 11:10:22"} +{"current_steps": 13665, "total_steps": 24897, "loss": 0.9379, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001456066246015557, "epoch": 1.65, "percentage": 54.89, "elapsed_time": "6 days, 15:31:11", "remaining_time": "5 days, 11:07:04"} +{"current_steps": 13670, "total_steps": 24897, "loss": 0.9054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014550376572136246, "epoch": 1.65, "percentage": 54.91, "elapsed_time": "6 days, 15:34:56", "remaining_time": "5 days, 11:03:46"} +{"current_steps": 13675, "total_steps": 24897, "loss": 0.7262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001454009089572464, "epoch": 1.65, "percentage": 54.93, "elapsed_time": "6 days, 15:38:39", "remaining_time": "5 days, 11:00:27"} +{"current_steps": 13680, "total_steps": 24897, "loss": 0.7921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001452980543576153, "epoch": 1.65, "percentage": 54.95, "elapsed_time": "6 days, 15:42:23", "remaining_time": "5 days, 10:57:08"} +{"current_steps": 13685, "total_steps": 24897, "loss": 0.8822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001451952019708759, "epoch": 1.65, "percentage": 54.97, "elapsed_time": "6 days, 15:46:07", "remaining_time": "5 days, 10:53:49"} +{"current_steps": 13690, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001450923518454341, "epoch": 1.65, "percentage": 54.99, "elapsed_time": "6 days, 15:49:52", "remaining_time": "5 days, 10:50:31"} +{"current_steps": 13695, "total_steps": 24897, "loss": 0.909, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001449895040296945, "epoch": 1.65, "percentage": 55.01, "elapsed_time": "6 days, 15:53:36", "remaining_time": "5 days, 10:47:13"} +{"current_steps": 13700, "total_steps": 24897, "loss": 0.8962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014488665857206065, "epoch": 1.65, "percentage": 55.03, "elapsed_time": "6 days, 15:57:20", "remaining_time": "5 days, 10:43:54"} +{"current_steps": 13705, "total_steps": 24897, "loss": 0.8714, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001447838155209351, "epoch": 1.65, "percentage": 55.05, "elapsed_time": "6 days, 16:01:07", "remaining_time": "5 days, 10:40:37"} +{"current_steps": 13710, "total_steps": 24897, "loss": 0.7435, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001446809749247192, "epoch": 1.65, "percentage": 55.07, "elapsed_time": "6 days, 16:04:50", "remaining_time": "5 days, 10:37:18"} +{"current_steps": 13715, "total_steps": 24897, "loss": 0.8738, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014457813683181316, "epoch": 1.65, "percentage": 55.09, "elapsed_time": "6 days, 16:08:34", "remaining_time": "5 days, 10:33:59"} +{"current_steps": 13720, "total_steps": 24897, "loss": 0.7546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014447530129061597, "epoch": 1.65, "percentage": 55.11, "elapsed_time": "6 days, 16:12:18", "remaining_time": "5 days, 10:30:40"} +{"current_steps": 13725, "total_steps": 24897, "loss": 0.8564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014437246834952537, "epoch": 1.65, "percentage": 55.13, "elapsed_time": "6 days, 16:16:02", "remaining_time": "5 days, 10:27:21"} +{"current_steps": 13730, "total_steps": 24897, "loss": 0.8453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014426963805693816, "epoch": 1.65, "percentage": 55.15, "elapsed_time": "6 days, 16:19:46", "remaining_time": "5 days, 10:24:02"} +{"current_steps": 13735, "total_steps": 24897, "loss": 0.7888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014416681046124953, "epoch": 1.65, "percentage": 55.17, "elapsed_time": "6 days, 16:23:30", "remaining_time": "5 days, 10:20:43"} +{"current_steps": 13740, "total_steps": 24897, "loss": 0.8495, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014406398561085364, "epoch": 1.66, "percentage": 55.19, "elapsed_time": "6 days, 16:27:14", "remaining_time": "5 days, 10:17:24"} +{"current_steps": 13745, "total_steps": 24897, "loss": 0.8212, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014396116355414322, "epoch": 1.66, "percentage": 55.21, "elapsed_time": "6 days, 16:30:58", "remaining_time": "5 days, 10:14:05"} +{"current_steps": 13750, "total_steps": 24897, "loss": 0.97, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001438583443395098, "epoch": 1.66, "percentage": 55.23, "elapsed_time": "6 days, 16:34:43", "remaining_time": "5 days, 10:10:47"} +{"current_steps": 13755, "total_steps": 24897, "loss": 0.8982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014375552801534352, "epoch": 1.66, "percentage": 55.25, "elapsed_time": "6 days, 16:38:28", "remaining_time": "5 days, 10:07:29"} +{"current_steps": 13760, "total_steps": 24897, "loss": 0.9205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014365271463003307, "epoch": 1.66, "percentage": 55.27, "elapsed_time": "6 days, 16:42:14", "remaining_time": "5 days, 10:04:10"} +{"current_steps": 13765, "total_steps": 24897, "loss": 0.8773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001435499042319659, "epoch": 1.66, "percentage": 55.29, "elapsed_time": "6 days, 16:45:59", "remaining_time": "5 days, 10:00:52"} +{"current_steps": 13770, "total_steps": 24897, "loss": 0.9438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014344709686952802, "epoch": 1.66, "percentage": 55.31, "elapsed_time": "6 days, 16:49:43", "remaining_time": "5 days, 9:57:34"} +{"current_steps": 13775, "total_steps": 24897, "loss": 0.8498, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000143344292591104, "epoch": 1.66, "percentage": 55.33, "elapsed_time": "6 days, 16:53:29", "remaining_time": "5 days, 9:54:16"} +{"current_steps": 13780, "total_steps": 24897, "loss": 0.8571, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001432414914450769, "epoch": 1.66, "percentage": 55.35, "elapsed_time": "6 days, 16:57:14", "remaining_time": "5 days, 9:50:58"} +{"current_steps": 13785, "total_steps": 24897, "loss": 0.7974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014313869347982831, "epoch": 1.66, "percentage": 55.37, "elapsed_time": "6 days, 17:01:00", "remaining_time": "5 days, 9:47:40"} +{"current_steps": 13790, "total_steps": 24897, "loss": 0.8104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001430358987437385, "epoch": 1.66, "percentage": 55.39, "elapsed_time": "6 days, 17:04:45", "remaining_time": "5 days, 9:44:22"} +{"current_steps": 13795, "total_steps": 24897, "loss": 0.8631, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000142933107285186, "epoch": 1.66, "percentage": 55.41, "elapsed_time": "6 days, 17:08:31", "remaining_time": "5 days, 9:41:05"} +{"current_steps": 13800, "total_steps": 24897, "loss": 0.8464, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001428303191525479, "epoch": 1.66, "percentage": 55.43, "elapsed_time": "6 days, 17:12:17", "remaining_time": "5 days, 9:37:47"} +{"current_steps": 13805, "total_steps": 24897, "loss": 0.8209, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014272753439419962, "epoch": 1.66, "percentage": 55.45, "elapsed_time": "6 days, 17:16:11", "remaining_time": "5 days, 9:34:35"} +{"current_steps": 13810, "total_steps": 24897, "loss": 0.8192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014262475305851523, "epoch": 1.66, "percentage": 55.47, "elapsed_time": "6 days, 17:19:57", "remaining_time": "5 days, 9:31:18"} +{"current_steps": 13815, "total_steps": 24897, "loss": 0.9271, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000142521975193867, "epoch": 1.66, "percentage": 55.49, "elapsed_time": "6 days, 17:23:42", "remaining_time": "5 days, 9:28:00"} +{"current_steps": 13820, "total_steps": 24897, "loss": 0.8063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014241920084862554, "epoch": 1.67, "percentage": 55.51, "elapsed_time": "6 days, 17:27:25", "remaining_time": "5 days, 9:24:39"} +{"current_steps": 13825, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014231643007115994, "epoch": 1.67, "percentage": 55.53, "elapsed_time": "6 days, 17:31:08", "remaining_time": "5 days, 9:21:19"} +{"current_steps": 13830, "total_steps": 24897, "loss": 0.872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001422136629098375, "epoch": 1.67, "percentage": 55.55, "elapsed_time": "6 days, 17:34:51", "remaining_time": "5 days, 9:17:59"} +{"current_steps": 13835, "total_steps": 24897, "loss": 0.9048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001421108994130239, "epoch": 1.67, "percentage": 55.57, "elapsed_time": "6 days, 17:38:32", "remaining_time": "5 days, 9:14:37"} +{"current_steps": 13840, "total_steps": 24897, "loss": 0.7751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014200813962908293, "epoch": 1.67, "percentage": 55.59, "elapsed_time": "6 days, 17:42:14", "remaining_time": "5 days, 9:11:16"} +{"current_steps": 13845, "total_steps": 24897, "loss": 0.8732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014190538360637695, "epoch": 1.67, "percentage": 55.61, "elapsed_time": "6 days, 17:45:55", "remaining_time": "5 days, 9:07:54"} +{"current_steps": 13850, "total_steps": 24897, "loss": 0.8895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014180263139326624, "epoch": 1.67, "percentage": 55.63, "elapsed_time": "6 days, 17:49:37", "remaining_time": "5 days, 9:04:33"} +{"current_steps": 13855, "total_steps": 24897, "loss": 0.8066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014169988303810942, "epoch": 1.67, "percentage": 55.65, "elapsed_time": "6 days, 17:53:17", "remaining_time": "5 days, 9:01:11"} +{"current_steps": 13860, "total_steps": 24897, "loss": 0.8425, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014159713858926323, "epoch": 1.67, "percentage": 55.67, "elapsed_time": "6 days, 17:56:58", "remaining_time": "5 days, 8:57:49"} +{"current_steps": 13865, "total_steps": 24897, "loss": 0.8981, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014149439809508273, "epoch": 1.67, "percentage": 55.69, "elapsed_time": "6 days, 18:00:39", "remaining_time": "5 days, 8:54:27"} +{"current_steps": 13870, "total_steps": 24897, "loss": 0.8915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014139166160392094, "epoch": 1.67, "percentage": 55.71, "elapsed_time": "6 days, 18:04:19", "remaining_time": "5 days, 8:51:04"} +{"current_steps": 13875, "total_steps": 24897, "loss": 0.7645, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014128892916412907, "epoch": 1.67, "percentage": 55.73, "elapsed_time": "6 days, 18:07:59", "remaining_time": "5 days, 8:47:42"} +{"current_steps": 13880, "total_steps": 24897, "loss": 0.811, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014118620082405637, "epoch": 1.67, "percentage": 55.75, "elapsed_time": "6 days, 18:11:39", "remaining_time": "5 days, 8:44:19"} +{"current_steps": 13885, "total_steps": 24897, "loss": 0.7641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014108347663205033, "epoch": 1.67, "percentage": 55.77, "elapsed_time": "6 days, 18:15:19", "remaining_time": "5 days, 8:40:56"} +{"current_steps": 13890, "total_steps": 24897, "loss": 0.9609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014098075663645628, "epoch": 1.67, "percentage": 55.79, "elapsed_time": "6 days, 18:18:58", "remaining_time": "5 days, 8:37:33"} +{"current_steps": 13895, "total_steps": 24897, "loss": 0.9062, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001408780408856177, "epoch": 1.67, "percentage": 55.81, "elapsed_time": "6 days, 18:22:37", "remaining_time": "5 days, 8:34:10"} +{"current_steps": 13900, "total_steps": 24897, "loss": 0.7888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001407753294278759, "epoch": 1.67, "percentage": 55.83, "elapsed_time": "6 days, 18:26:17", "remaining_time": "5 days, 8:30:47"} +{"current_steps": 13905, "total_steps": 24897, "loss": 0.8781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001406726223115705, "epoch": 1.68, "percentage": 55.85, "elapsed_time": "6 days, 18:30:07", "remaining_time": "5 days, 8:27:32"} +{"current_steps": 13910, "total_steps": 24897, "loss": 0.8365, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014056991958503882, "epoch": 1.68, "percentage": 55.87, "elapsed_time": "6 days, 18:33:46", "remaining_time": "5 days, 8:24:09"} +{"current_steps": 13915, "total_steps": 24897, "loss": 0.9437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001404672212966161, "epoch": 1.68, "percentage": 55.89, "elapsed_time": "6 days, 18:37:26", "remaining_time": "5 days, 8:20:45"} +{"current_steps": 13920, "total_steps": 24897, "loss": 0.7994, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001403645274946356, "epoch": 1.68, "percentage": 55.91, "elapsed_time": "6 days, 18:41:04", "remaining_time": "5 days, 8:17:21"} +{"current_steps": 13925, "total_steps": 24897, "loss": 0.8427, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014026183822742847, "epoch": 1.68, "percentage": 55.93, "elapsed_time": "6 days, 18:44:43", "remaining_time": "5 days, 8:13:58"} +{"current_steps": 13930, "total_steps": 24897, "loss": 0.8662, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00014015915354332367, "epoch": 1.68, "percentage": 55.95, "elapsed_time": "6 days, 18:48:23", "remaining_time": "5 days, 8:10:35"} +{"current_steps": 13935, "total_steps": 24897, "loss": 0.8525, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000140056473490648, "epoch": 1.68, "percentage": 55.97, "elapsed_time": "6 days, 18:52:01", "remaining_time": "5 days, 8:07:11"} +{"current_steps": 13940, "total_steps": 24897, "loss": 0.7445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001399537981177261, "epoch": 1.68, "percentage": 55.99, "elapsed_time": "6 days, 18:55:40", "remaining_time": "5 days, 8:03:47"} +{"current_steps": 13945, "total_steps": 24897, "loss": 0.8798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013985112747288048, "epoch": 1.68, "percentage": 56.01, "elapsed_time": "6 days, 18:59:19", "remaining_time": "5 days, 8:00:23"} +{"current_steps": 13950, "total_steps": 24897, "loss": 0.8167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013974846160443128, "epoch": 1.68, "percentage": 56.03, "elapsed_time": "6 days, 19:02:58", "remaining_time": "5 days, 7:57:00"} +{"current_steps": 13955, "total_steps": 24897, "loss": 0.7542, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001396458005606965, "epoch": 1.68, "percentage": 56.05, "elapsed_time": "6 days, 19:06:38", "remaining_time": "5 days, 7:53:37"} +{"current_steps": 13960, "total_steps": 24897, "loss": 0.8568, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001395431443899918, "epoch": 1.68, "percentage": 56.07, "elapsed_time": "6 days, 19:10:18", "remaining_time": "5 days, 7:50:14"} +{"current_steps": 13965, "total_steps": 24897, "loss": 0.8143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013944049314063063, "epoch": 1.68, "percentage": 56.09, "elapsed_time": "6 days, 19:13:57", "remaining_time": "5 days, 7:46:51"} +{"current_steps": 13970, "total_steps": 24897, "loss": 0.7804, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001393378468609241, "epoch": 1.68, "percentage": 56.11, "elapsed_time": "6 days, 19:17:37", "remaining_time": "5 days, 7:43:28"} +{"current_steps": 13975, "total_steps": 24897, "loss": 0.8356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013923520559918086, "epoch": 1.68, "percentage": 56.13, "elapsed_time": "6 days, 19:21:17", "remaining_time": "5 days, 7:40:05"} +{"current_steps": 13980, "total_steps": 24897, "loss": 0.876, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013913256940370733, "epoch": 1.68, "percentage": 56.15, "elapsed_time": "6 days, 19:24:58", "remaining_time": "5 days, 7:36:42"} +{"current_steps": 13985, "total_steps": 24897, "loss": 0.7916, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013902993832280757, "epoch": 1.69, "percentage": 56.17, "elapsed_time": "6 days, 19:28:37", "remaining_time": "5 days, 7:33:19"} +{"current_steps": 13990, "total_steps": 24897, "loss": 0.8881, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013892731240478317, "epoch": 1.69, "percentage": 56.19, "elapsed_time": "6 days, 19:32:17", "remaining_time": "5 days, 7:29:56"} +{"current_steps": 13995, "total_steps": 24897, "loss": 0.7779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013882469169793324, "epoch": 1.69, "percentage": 56.21, "elapsed_time": "6 days, 19:35:57", "remaining_time": "5 days, 7:26:33"} +{"current_steps": 14000, "total_steps": 24897, "loss": 0.8326, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013872207625055449, "epoch": 1.69, "percentage": 56.23, "elapsed_time": "6 days, 19:39:37", "remaining_time": "5 days, 7:23:10"} +{"current_steps": 14005, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013861946611094125, "epoch": 1.69, "percentage": 56.25, "elapsed_time": "6 days, 19:43:22", "remaining_time": "5 days, 7:19:51"} +{"current_steps": 14010, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013851686132738516, "epoch": 1.69, "percentage": 56.27, "elapsed_time": "6 days, 19:47:02", "remaining_time": "5 days, 7:16:28"} +{"current_steps": 14015, "total_steps": 24897, "loss": 0.8099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013841426194817548, "epoch": 1.69, "percentage": 56.29, "elapsed_time": "6 days, 19:50:42", "remaining_time": "5 days, 7:13:05"} +{"current_steps": 14020, "total_steps": 24897, "loss": 0.9164, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001383116680215988, "epoch": 1.69, "percentage": 56.31, "elapsed_time": "6 days, 19:54:22", "remaining_time": "5 days, 7:09:42"} +{"current_steps": 14025, "total_steps": 24897, "loss": 0.8081, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013820907959593938, "epoch": 1.69, "percentage": 56.33, "elapsed_time": "6 days, 19:58:02", "remaining_time": "5 days, 7:06:19"} +{"current_steps": 14030, "total_steps": 24897, "loss": 0.7962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013810649671947868, "epoch": 1.69, "percentage": 56.35, "elapsed_time": "6 days, 20:01:42", "remaining_time": "5 days, 7:02:56"} +{"current_steps": 14035, "total_steps": 24897, "loss": 0.813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001380039194404956, "epoch": 1.69, "percentage": 56.37, "elapsed_time": "6 days, 20:05:21", "remaining_time": "5 days, 6:59:32"} +{"current_steps": 14040, "total_steps": 24897, "loss": 0.7779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013790134780726634, "epoch": 1.69, "percentage": 56.39, "elapsed_time": "6 days, 20:09:01", "remaining_time": "5 days, 6:56:09"} +{"current_steps": 14045, "total_steps": 24897, "loss": 0.8943, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013779878186806463, "epoch": 1.69, "percentage": 56.41, "elapsed_time": "6 days, 20:12:43", "remaining_time": "5 days, 6:52:47"} +{"current_steps": 14050, "total_steps": 24897, "loss": 0.8855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013769622167116138, "epoch": 1.69, "percentage": 56.43, "elapsed_time": "6 days, 20:16:23", "remaining_time": "5 days, 6:49:25"} +{"current_steps": 14055, "total_steps": 24897, "loss": 0.796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001375936672648248, "epoch": 1.69, "percentage": 56.45, "elapsed_time": "6 days, 20:20:04", "remaining_time": "5 days, 6:46:02"} +{"current_steps": 14060, "total_steps": 24897, "loss": 0.9203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013749111869732034, "epoch": 1.69, "percentage": 56.47, "elapsed_time": "6 days, 20:23:43", "remaining_time": "5 days, 6:42:38"} +{"current_steps": 14065, "total_steps": 24897, "loss": 0.8389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001373885760169109, "epoch": 1.69, "percentage": 56.49, "elapsed_time": "6 days, 20:27:23", "remaining_time": "5 days, 6:39:15"} +{"current_steps": 14070, "total_steps": 24897, "loss": 0.8227, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013728603927185644, "epoch": 1.7, "percentage": 56.51, "elapsed_time": "6 days, 20:31:02", "remaining_time": "5 days, 6:35:51"} +{"current_steps": 14075, "total_steps": 24897, "loss": 0.8254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013718350851041407, "epoch": 1.7, "percentage": 56.53, "elapsed_time": "6 days, 20:34:42", "remaining_time": "5 days, 6:32:28"} +{"current_steps": 14080, "total_steps": 24897, "loss": 0.7736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013708098378083813, "epoch": 1.7, "percentage": 56.55, "elapsed_time": "6 days, 20:38:22", "remaining_time": "5 days, 6:29:05"} +{"current_steps": 14085, "total_steps": 24897, "loss": 0.8294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013697846513138035, "epoch": 1.7, "percentage": 56.57, "elapsed_time": "6 days, 20:42:02", "remaining_time": "5 days, 6:25:41"} +{"current_steps": 14090, "total_steps": 24897, "loss": 0.8284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001368759526102893, "epoch": 1.7, "percentage": 56.59, "elapsed_time": "6 days, 20:45:42", "remaining_time": "5 days, 6:22:18"} +{"current_steps": 14095, "total_steps": 24897, "loss": 0.9865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001367734462658108, "epoch": 1.7, "percentage": 56.61, "elapsed_time": "6 days, 20:49:21", "remaining_time": "5 days, 6:18:55"} +{"current_steps": 14100, "total_steps": 24897, "loss": 0.7624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013667094614618766, "epoch": 1.7, "percentage": 56.63, "elapsed_time": "6 days, 20:53:01", "remaining_time": "5 days, 6:15:31"} +{"current_steps": 14105, "total_steps": 24897, "loss": 0.8987, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013656845229965996, "epoch": 1.7, "percentage": 56.65, "elapsed_time": "6 days, 20:56:44", "remaining_time": "5 days, 6:12:10"} +{"current_steps": 14110, "total_steps": 24897, "loss": 0.9425, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013646596477446467, "epoch": 1.7, "percentage": 56.67, "elapsed_time": "6 days, 21:00:24", "remaining_time": "5 days, 6:08:47"} +{"current_steps": 14115, "total_steps": 24897, "loss": 0.9069, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013636348361883578, "epoch": 1.7, "percentage": 56.69, "elapsed_time": "6 days, 21:04:03", "remaining_time": "5 days, 6:05:23"} +{"current_steps": 14120, "total_steps": 24897, "loss": 0.9238, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013626100888100432, "epoch": 1.7, "percentage": 56.71, "elapsed_time": "6 days, 21:07:43", "remaining_time": "5 days, 6:02:00"} +{"current_steps": 14125, "total_steps": 24897, "loss": 0.8625, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013615854060919838, "epoch": 1.7, "percentage": 56.73, "elapsed_time": "6 days, 21:11:22", "remaining_time": "5 days, 5:58:36"} +{"current_steps": 14130, "total_steps": 24897, "loss": 0.7802, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001360560788516429, "epoch": 1.7, "percentage": 56.75, "elapsed_time": "6 days, 21:15:02", "remaining_time": "5 days, 5:55:13"} +{"current_steps": 14135, "total_steps": 24897, "loss": 0.8364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001359536236565598, "epoch": 1.7, "percentage": 56.77, "elapsed_time": "6 days, 21:18:42", "remaining_time": "5 days, 5:51:49"} +{"current_steps": 14140, "total_steps": 24897, "loss": 0.8287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001358511750721678, "epoch": 1.7, "percentage": 56.79, "elapsed_time": "6 days, 21:22:22", "remaining_time": "5 days, 5:48:26"} +{"current_steps": 14145, "total_steps": 24897, "loss": 0.862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001357487331466827, "epoch": 1.7, "percentage": 56.81, "elapsed_time": "6 days, 21:26:01", "remaining_time": "5 days, 5:45:02"} +{"current_steps": 14150, "total_steps": 24897, "loss": 0.8711, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001356462979283171, "epoch": 1.7, "percentage": 56.83, "elapsed_time": "6 days, 21:29:42", "remaining_time": "5 days, 5:41:39"} +{"current_steps": 14155, "total_steps": 24897, "loss": 0.9011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013554386946528033, "epoch": 1.71, "percentage": 56.85, "elapsed_time": "6 days, 21:33:21", "remaining_time": "5 days, 5:38:16"} +{"current_steps": 14160, "total_steps": 24897, "loss": 0.7915, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001354414478057786, "epoch": 1.71, "percentage": 56.87, "elapsed_time": "6 days, 21:37:01", "remaining_time": "5 days, 5:34:52"} +{"current_steps": 14165, "total_steps": 24897, "loss": 0.8746, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001353390329980151, "epoch": 1.71, "percentage": 56.89, "elapsed_time": "6 days, 21:40:40", "remaining_time": "5 days, 5:31:28"} +{"current_steps": 14170, "total_steps": 24897, "loss": 0.8851, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013523662509018952, "epoch": 1.71, "percentage": 56.91, "elapsed_time": "6 days, 21:44:20", "remaining_time": "5 days, 5:28:04"} +{"current_steps": 14175, "total_steps": 24897, "loss": 0.7998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013513422413049847, "epoch": 1.71, "percentage": 56.93, "elapsed_time": "6 days, 21:48:00", "remaining_time": "5 days, 5:24:41"} +{"current_steps": 14180, "total_steps": 24897, "loss": 0.8183, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013503183016713518, "epoch": 1.71, "percentage": 56.95, "elapsed_time": "6 days, 21:51:39", "remaining_time": "5 days, 5:21:17"} +{"current_steps": 14185, "total_steps": 24897, "loss": 0.7641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001349294432482897, "epoch": 1.71, "percentage": 56.97, "elapsed_time": "6 days, 21:55:18", "remaining_time": "5 days, 5:17:53"} +{"current_steps": 14190, "total_steps": 24897, "loss": 0.8828, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013482706342214873, "epoch": 1.71, "percentage": 56.99, "elapsed_time": "6 days, 21:58:58", "remaining_time": "5 days, 5:14:30"} +{"current_steps": 14195, "total_steps": 24897, "loss": 0.8785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001347246907368956, "epoch": 1.71, "percentage": 57.01, "elapsed_time": "6 days, 22:02:38", "remaining_time": "5 days, 5:11:06"} +{"current_steps": 14200, "total_steps": 24897, "loss": 0.9082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013462232524071022, "epoch": 1.71, "percentage": 57.03, "elapsed_time": "6 days, 22:06:17", "remaining_time": "5 days, 5:07:42"} +{"current_steps": 14205, "total_steps": 24897, "loss": 0.8412, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001345199669817693, "epoch": 1.71, "percentage": 57.06, "elapsed_time": "6 days, 22:10:00", "remaining_time": "5 days, 5:04:21"} +{"current_steps": 14210, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013441761600824602, "epoch": 1.71, "percentage": 57.08, "elapsed_time": "6 days, 22:13:39", "remaining_time": "5 days, 5:00:56"} +{"current_steps": 14215, "total_steps": 24897, "loss": 0.7209, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001343152723683101, "epoch": 1.71, "percentage": 57.1, "elapsed_time": "6 days, 22:17:18", "remaining_time": "5 days, 4:57:32"} +{"current_steps": 14220, "total_steps": 24897, "loss": 0.8414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013421293611012784, "epoch": 1.71, "percentage": 57.12, "elapsed_time": "6 days, 22:20:28", "remaining_time": "5 days, 4:53:46"} +{"current_steps": 14225, "total_steps": 24897, "loss": 0.7894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013411060728186217, "epoch": 1.71, "percentage": 57.14, "elapsed_time": "6 days, 22:23:20", "remaining_time": "5 days, 4:49:47"} +{"current_steps": 14230, "total_steps": 24897, "loss": 0.8794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013400828593167238, "epoch": 1.71, "percentage": 57.16, "elapsed_time": "6 days, 22:26:10", "remaining_time": "5 days, 4:45:46"} +{"current_steps": 14235, "total_steps": 24897, "loss": 0.8955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001339059721077143, "epoch": 1.72, "percentage": 57.18, "elapsed_time": "6 days, 22:29:03", "remaining_time": "5 days, 4:41:47"} +{"current_steps": 14240, "total_steps": 24897, "loss": 0.7859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013380366585814016, "epoch": 1.72, "percentage": 57.2, "elapsed_time": "6 days, 22:31:53", "remaining_time": "5 days, 4:37:47"} +{"current_steps": 14245, "total_steps": 24897, "loss": 0.7737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013370136723109876, "epoch": 1.72, "percentage": 57.22, "elapsed_time": "6 days, 22:34:44", "remaining_time": "5 days, 4:33:46"} +{"current_steps": 14250, "total_steps": 24897, "loss": 0.8702, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001335990762747352, "epoch": 1.72, "percentage": 57.24, "elapsed_time": "6 days, 22:37:35", "remaining_time": "5 days, 4:29:46"} +{"current_steps": 14255, "total_steps": 24897, "loss": 0.7799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013349679303719105, "epoch": 1.72, "percentage": 57.26, "elapsed_time": "6 days, 22:40:29", "remaining_time": "5 days, 4:25:48"} +{"current_steps": 14260, "total_steps": 24897, "loss": 0.8453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013339451756660408, "epoch": 1.72, "percentage": 57.28, "elapsed_time": "6 days, 22:43:22", "remaining_time": "5 days, 4:21:50"} +{"current_steps": 14265, "total_steps": 24897, "loss": 0.854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013329224991110865, "epoch": 1.72, "percentage": 57.3, "elapsed_time": "6 days, 22:46:17", "remaining_time": "5 days, 4:17:53"} +{"current_steps": 14270, "total_steps": 24897, "loss": 0.8633, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013318999011883526, "epoch": 1.72, "percentage": 57.32, "elapsed_time": "6 days, 22:49:12", "remaining_time": "5 days, 4:13:57"} +{"current_steps": 14275, "total_steps": 24897, "loss": 0.8227, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013308773823791074, "epoch": 1.72, "percentage": 57.34, "elapsed_time": "6 days, 22:52:11", "remaining_time": "5 days, 4:10:02"} +{"current_steps": 14280, "total_steps": 24897, "loss": 0.7781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001329854943164582, "epoch": 1.72, "percentage": 57.36, "elapsed_time": "6 days, 22:55:10", "remaining_time": "5 days, 4:06:09"} +{"current_steps": 14285, "total_steps": 24897, "loss": 0.8061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013288325840259715, "epoch": 1.72, "percentage": 57.38, "elapsed_time": "6 days, 22:58:01", "remaining_time": "5 days, 4:02:09"} +{"current_steps": 14290, "total_steps": 24897, "loss": 0.9153, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001327810305444431, "epoch": 1.72, "percentage": 57.4, "elapsed_time": "6 days, 23:00:53", "remaining_time": "5 days, 3:58:10"} +{"current_steps": 14295, "total_steps": 24897, "loss": 0.8612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001326788107901079, "epoch": 1.72, "percentage": 57.42, "elapsed_time": "6 days, 23:03:43", "remaining_time": "5 days, 3:54:10"} +{"current_steps": 14300, "total_steps": 24897, "loss": 0.7707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001325765991876995, "epoch": 1.72, "percentage": 57.44, "elapsed_time": "6 days, 23:06:31", "remaining_time": "5 days, 3:50:08"} +{"current_steps": 14305, "total_steps": 24897, "loss": 0.8533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001324743957853222, "epoch": 1.72, "percentage": 57.46, "elapsed_time": "6 days, 23:09:24", "remaining_time": "5 days, 3:46:10"} +{"current_steps": 14310, "total_steps": 24897, "loss": 0.9308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013237220063107625, "epoch": 1.72, "percentage": 57.48, "elapsed_time": "6 days, 23:12:14", "remaining_time": "5 days, 3:42:10"} +{"current_steps": 14315, "total_steps": 24897, "loss": 0.8137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013227001377305806, "epoch": 1.72, "percentage": 57.5, "elapsed_time": "6 days, 23:15:02", "remaining_time": "5 days, 3:38:09"} +{"current_steps": 14320, "total_steps": 24897, "loss": 0.7499, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001321678352593602, "epoch": 1.73, "percentage": 57.52, "elapsed_time": "6 days, 23:17:55", "remaining_time": "5 days, 3:34:10"} +{"current_steps": 14325, "total_steps": 24897, "loss": 0.8927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013206566513807125, "epoch": 1.73, "percentage": 57.54, "elapsed_time": "6 days, 23:20:47", "remaining_time": "5 days, 3:30:12"} +{"current_steps": 14330, "total_steps": 24897, "loss": 0.8058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001319635034572759, "epoch": 1.73, "percentage": 57.56, "elapsed_time": "6 days, 23:23:35", "remaining_time": "5 days, 3:26:11"} +{"current_steps": 14335, "total_steps": 24897, "loss": 0.8581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001318613502650547, "epoch": 1.73, "percentage": 57.58, "elapsed_time": "6 days, 23:26:28", "remaining_time": "5 days, 3:22:13"} +{"current_steps": 14340, "total_steps": 24897, "loss": 0.9558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001317592056094845, "epoch": 1.73, "percentage": 57.6, "elapsed_time": "6 days, 23:29:19", "remaining_time": "5 days, 3:18:14"} +{"current_steps": 14345, "total_steps": 24897, "loss": 0.8461, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001316570695386379, "epoch": 1.73, "percentage": 57.62, "elapsed_time": "6 days, 23:32:10", "remaining_time": "5 days, 3:14:15"} +{"current_steps": 14350, "total_steps": 24897, "loss": 0.8245, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013155494210058353, "epoch": 1.73, "percentage": 57.64, "elapsed_time": "6 days, 23:35:02", "remaining_time": "5 days, 3:10:17"} +{"current_steps": 14355, "total_steps": 24897, "loss": 0.8102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001314528233433859, "epoch": 1.73, "percentage": 57.66, "elapsed_time": "6 days, 23:37:54", "remaining_time": "5 days, 3:06:18"} +{"current_steps": 14360, "total_steps": 24897, "loss": 0.7548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001313507133151056, "epoch": 1.73, "percentage": 57.68, "elapsed_time": "6 days, 23:40:45", "remaining_time": "5 days, 3:02:19"} +{"current_steps": 14365, "total_steps": 24897, "loss": 0.8989, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001312486120637989, "epoch": 1.73, "percentage": 57.7, "elapsed_time": "6 days, 23:43:35", "remaining_time": "5 days, 2:58:19"} +{"current_steps": 14370, "total_steps": 24897, "loss": 0.87, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001311465196375181, "epoch": 1.73, "percentage": 57.72, "elapsed_time": "6 days, 23:46:25", "remaining_time": "5 days, 2:54:20"} +{"current_steps": 14375, "total_steps": 24897, "loss": 0.8649, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001310444360843112, "epoch": 1.73, "percentage": 57.74, "elapsed_time": "6 days, 23:49:16", "remaining_time": "5 days, 2:50:21"} +{"current_steps": 14380, "total_steps": 24897, "loss": 0.8258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013094236145222223, "epoch": 1.73, "percentage": 57.76, "elapsed_time": "6 days, 23:52:04", "remaining_time": "5 days, 2:46:20"} +{"current_steps": 14385, "total_steps": 24897, "loss": 0.8283, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013084029578929086, "epoch": 1.73, "percentage": 57.78, "elapsed_time": "6 days, 23:54:54", "remaining_time": "5 days, 2:42:21"} +{"current_steps": 14390, "total_steps": 24897, "loss": 0.7883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013073823914355257, "epoch": 1.73, "percentage": 57.8, "elapsed_time": "6 days, 23:57:44", "remaining_time": "5 days, 2:38:21"} +{"current_steps": 14395, "total_steps": 24897, "loss": 0.9081, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013063619156303854, "epoch": 1.73, "percentage": 57.82, "elapsed_time": "7 days, 0:00:35", "remaining_time": "5 days, 2:34:23"} +{"current_steps": 14400, "total_steps": 24897, "loss": 0.8948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013053415309577588, "epoch": 1.74, "percentage": 57.84, "elapsed_time": "7 days, 0:03:49", "remaining_time": "5 days, 2:30:40"} +{"current_steps": 14405, "total_steps": 24897, "loss": 0.9301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001304321237897872, "epoch": 1.74, "percentage": 57.86, "elapsed_time": "7 days, 0:07:40", "remaining_time": "5 days, 2:27:26"} +{"current_steps": 14410, "total_steps": 24897, "loss": 0.853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013033010369309088, "epoch": 1.74, "percentage": 57.88, "elapsed_time": "7 days, 0:11:22", "remaining_time": "5 days, 2:24:05"} +{"current_steps": 14415, "total_steps": 24897, "loss": 0.8784, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001302280928537009, "epoch": 1.74, "percentage": 57.9, "elapsed_time": "7 days, 0:15:03", "remaining_time": "5 days, 2:20:43"} +{"current_steps": 14420, "total_steps": 24897, "loss": 0.888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013012609131962712, "epoch": 1.74, "percentage": 57.92, "elapsed_time": "7 days, 0:18:45", "remaining_time": "5 days, 2:17:21"} +{"current_steps": 14425, "total_steps": 24897, "loss": 0.8426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00013002409913887475, "epoch": 1.74, "percentage": 57.94, "elapsed_time": "7 days, 0:22:26", "remaining_time": "5 days, 2:13:59"} +{"current_steps": 14430, "total_steps": 24897, "loss": 0.7904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012992211635944474, "epoch": 1.74, "percentage": 57.96, "elapsed_time": "7 days, 0:26:08", "remaining_time": "5 days, 2:10:37"} +{"current_steps": 14435, "total_steps": 24897, "loss": 0.838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012982014302933347, "epoch": 1.74, "percentage": 57.98, "elapsed_time": "7 days, 0:29:49", "remaining_time": "5 days, 2:07:15"} +{"current_steps": 14440, "total_steps": 24897, "loss": 0.8792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012971817919653307, "epoch": 1.74, "percentage": 58.0, "elapsed_time": "7 days, 0:33:30", "remaining_time": "5 days, 2:03:53"} +{"current_steps": 14445, "total_steps": 24897, "loss": 0.7812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012961622490903108, "epoch": 1.74, "percentage": 58.02, "elapsed_time": "7 days, 0:37:12", "remaining_time": "5 days, 2:00:31"} +{"current_steps": 14450, "total_steps": 24897, "loss": 0.9277, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012951428021481056, "epoch": 1.74, "percentage": 58.04, "elapsed_time": "7 days, 0:40:54", "remaining_time": "5 days, 1:57:09"} +{"current_steps": 14455, "total_steps": 24897, "loss": 0.9082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012941234516185003, "epoch": 1.74, "percentage": 58.06, "elapsed_time": "7 days, 0:44:35", "remaining_time": "5 days, 1:53:48"} +{"current_steps": 14460, "total_steps": 24897, "loss": 0.7627, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012931041979812364, "epoch": 1.74, "percentage": 58.08, "elapsed_time": "7 days, 0:48:17", "remaining_time": "5 days, 1:50:26"} +{"current_steps": 14465, "total_steps": 24897, "loss": 0.9178, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012920850417160078, "epoch": 1.74, "percentage": 58.1, "elapsed_time": "7 days, 0:51:59", "remaining_time": "5 days, 1:47:04"} +{"current_steps": 14470, "total_steps": 24897, "loss": 0.8679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001291065983302463, "epoch": 1.74, "percentage": 58.12, "elapsed_time": "7 days, 0:55:41", "remaining_time": "5 days, 1:43:42"} +{"current_steps": 14475, "total_steps": 24897, "loss": 0.8087, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012900470232202045, "epoch": 1.74, "percentage": 58.14, "elapsed_time": "7 days, 0:59:23", "remaining_time": "5 days, 1:40:21"} +{"current_steps": 14480, "total_steps": 24897, "loss": 0.8016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012890281619487898, "epoch": 1.74, "percentage": 58.16, "elapsed_time": "7 days, 1:03:05", "remaining_time": "5 days, 1:36:59"} +{"current_steps": 14485, "total_steps": 24897, "loss": 0.8115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012880093999677282, "epoch": 1.75, "percentage": 58.18, "elapsed_time": "7 days, 1:06:47", "remaining_time": "5 days, 1:33:38"} +{"current_steps": 14490, "total_steps": 24897, "loss": 0.7686, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012869907377564827, "epoch": 1.75, "percentage": 58.2, "elapsed_time": "7 days, 1:10:30", "remaining_time": "5 days, 1:30:17"} +{"current_steps": 14495, "total_steps": 24897, "loss": 0.8995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012859721757944696, "epoch": 1.75, "percentage": 58.22, "elapsed_time": "7 days, 1:14:12", "remaining_time": "5 days, 1:26:55"} +{"current_steps": 14500, "total_steps": 24897, "loss": 0.9065, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012849537145610587, "epoch": 1.75, "percentage": 58.24, "elapsed_time": "7 days, 1:17:53", "remaining_time": "5 days, 1:23:33"} +{"current_steps": 14505, "total_steps": 24897, "loss": 0.8299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012839353545355712, "epoch": 1.75, "percentage": 58.26, "elapsed_time": "7 days, 1:21:40", "remaining_time": "5 days, 1:20:15"} +{"current_steps": 14510, "total_steps": 24897, "loss": 0.8677, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001282917096197281, "epoch": 1.75, "percentage": 58.28, "elapsed_time": "7 days, 1:25:22", "remaining_time": "5 days, 1:16:53"} +{"current_steps": 14515, "total_steps": 24897, "loss": 0.7826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001281898940025414, "epoch": 1.75, "percentage": 58.3, "elapsed_time": "7 days, 1:29:04", "remaining_time": "5 days, 1:13:31"} +{"current_steps": 14520, "total_steps": 24897, "loss": 0.8732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001280880886499149, "epoch": 1.75, "percentage": 58.32, "elapsed_time": "7 days, 1:32:45", "remaining_time": "5 days, 1:10:09"} +{"current_steps": 14525, "total_steps": 24897, "loss": 0.8239, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001279862936097616, "epoch": 1.75, "percentage": 58.34, "elapsed_time": "7 days, 1:36:27", "remaining_time": "5 days, 1:06:47"} +{"current_steps": 14530, "total_steps": 24897, "loss": 0.7887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012788450892998952, "epoch": 1.75, "percentage": 58.36, "elapsed_time": "7 days, 1:40:09", "remaining_time": "5 days, 1:03:26"} +{"current_steps": 14535, "total_steps": 24897, "loss": 0.9332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000127782734658502, "epoch": 1.75, "percentage": 58.38, "elapsed_time": "7 days, 1:43:52", "remaining_time": "5 days, 1:00:05"} +{"current_steps": 14540, "total_steps": 24897, "loss": 0.8357, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012768097084319736, "epoch": 1.75, "percentage": 58.4, "elapsed_time": "7 days, 1:47:34", "remaining_time": "5 days, 0:56:43"} +{"current_steps": 14545, "total_steps": 24897, "loss": 0.7879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012757921753196906, "epoch": 1.75, "percentage": 58.42, "elapsed_time": "7 days, 1:51:17", "remaining_time": "5 days, 0:53:21"} +{"current_steps": 14550, "total_steps": 24897, "loss": 0.9305, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012747747477270552, "epoch": 1.75, "percentage": 58.44, "elapsed_time": "7 days, 1:54:59", "remaining_time": "5 days, 0:50:00"} +{"current_steps": 14555, "total_steps": 24897, "loss": 0.734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012737574261329027, "epoch": 1.75, "percentage": 58.46, "elapsed_time": "7 days, 1:58:42", "remaining_time": "5 days, 0:46:39"} +{"current_steps": 14560, "total_steps": 24897, "loss": 0.853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012727402110160194, "epoch": 1.75, "percentage": 58.48, "elapsed_time": "7 days, 2:02:25", "remaining_time": "5 days, 0:43:17"} +{"current_steps": 14565, "total_steps": 24897, "loss": 0.8503, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012717231028551397, "epoch": 1.75, "percentage": 58.5, "elapsed_time": "7 days, 2:06:05", "remaining_time": "5 days, 0:39:54"} +{"current_steps": 14570, "total_steps": 24897, "loss": 0.8343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012707061021289485, "epoch": 1.76, "percentage": 58.52, "elapsed_time": "7 days, 2:09:47", "remaining_time": "5 days, 0:36:32"} +{"current_steps": 14575, "total_steps": 24897, "loss": 0.7783, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012696892093160803, "epoch": 1.76, "percentage": 58.54, "elapsed_time": "7 days, 2:13:30", "remaining_time": "5 days, 0:33:11"} +{"current_steps": 14580, "total_steps": 24897, "loss": 0.9118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012686724248951189, "epoch": 1.76, "percentage": 58.56, "elapsed_time": "7 days, 2:17:12", "remaining_time": "5 days, 0:29:49"} +{"current_steps": 14585, "total_steps": 24897, "loss": 0.7751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012676557493445962, "epoch": 1.76, "percentage": 58.58, "elapsed_time": "7 days, 2:20:54", "remaining_time": "5 days, 0:26:27"} +{"current_steps": 14590, "total_steps": 24897, "loss": 0.8448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001266639183142994, "epoch": 1.76, "percentage": 58.6, "elapsed_time": "7 days, 2:24:36", "remaining_time": "5 days, 0:23:06"} +{"current_steps": 14595, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001265622726768741, "epoch": 1.76, "percentage": 58.62, "elapsed_time": "7 days, 2:28:18", "remaining_time": "5 days, 0:19:44"} +{"current_steps": 14600, "total_steps": 24897, "loss": 0.9275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012646063807002168, "epoch": 1.76, "percentage": 58.64, "elapsed_time": "7 days, 2:32:00", "remaining_time": "5 days, 0:16:22"} +{"current_steps": 14605, "total_steps": 24897, "loss": 0.7573, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012635901454157472, "epoch": 1.76, "percentage": 58.66, "elapsed_time": "7 days, 2:35:45", "remaining_time": "5 days, 0:13:02"} +{"current_steps": 14610, "total_steps": 24897, "loss": 0.8072, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012625740213936064, "epoch": 1.76, "percentage": 58.68, "elapsed_time": "7 days, 2:39:27", "remaining_time": "5 days, 0:09:40"} +{"current_steps": 14615, "total_steps": 24897, "loss": 0.9022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001261558009112015, "epoch": 1.76, "percentage": 58.7, "elapsed_time": "7 days, 2:43:09", "remaining_time": "5 days, 0:06:18"} +{"current_steps": 14620, "total_steps": 24897, "loss": 0.978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012605421090491434, "epoch": 1.76, "percentage": 58.72, "elapsed_time": "7 days, 2:46:51", "remaining_time": "5 days, 0:02:56"} +{"current_steps": 14625, "total_steps": 24897, "loss": 0.6918, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012595263216831076, "epoch": 1.76, "percentage": 58.74, "elapsed_time": "7 days, 2:50:33", "remaining_time": "4 days, 23:59:34"} +{"current_steps": 14630, "total_steps": 24897, "loss": 0.8508, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012585106474919704, "epoch": 1.76, "percentage": 58.76, "elapsed_time": "7 days, 2:54:15", "remaining_time": "4 days, 23:56:12"} +{"current_steps": 14635, "total_steps": 24897, "loss": 0.7538, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012574950869537419, "epoch": 1.76, "percentage": 58.78, "elapsed_time": "7 days, 2:57:58", "remaining_time": "4 days, 23:52:50"} +{"current_steps": 14640, "total_steps": 24897, "loss": 0.8676, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001256479640546379, "epoch": 1.76, "percentage": 58.8, "elapsed_time": "7 days, 3:01:40", "remaining_time": "4 days, 23:49:28"} +{"current_steps": 14645, "total_steps": 24897, "loss": 0.9266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012554643087477844, "epoch": 1.76, "percentage": 58.82, "elapsed_time": "7 days, 3:05:22", "remaining_time": "4 days, 23:46:06"} +{"current_steps": 14650, "total_steps": 24897, "loss": 0.9265, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012544490920358072, "epoch": 1.77, "percentage": 58.84, "elapsed_time": "7 days, 3:09:04", "remaining_time": "4 days, 23:42:44"} +{"current_steps": 14655, "total_steps": 24897, "loss": 0.8619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012534339908882412, "epoch": 1.77, "percentage": 58.86, "elapsed_time": "7 days, 3:12:47", "remaining_time": "4 days, 23:39:23"} +{"current_steps": 14660, "total_steps": 24897, "loss": 0.853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012524190057828277, "epoch": 1.77, "percentage": 58.88, "elapsed_time": "7 days, 3:16:30", "remaining_time": "4 days, 23:36:01"} +{"current_steps": 14665, "total_steps": 24897, "loss": 0.9301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012514041371972518, "epoch": 1.77, "percentage": 58.9, "elapsed_time": "7 days, 3:20:11", "remaining_time": "4 days, 23:32:39"} +{"current_steps": 14670, "total_steps": 24897, "loss": 0.8581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012503893856091448, "epoch": 1.77, "percentage": 58.92, "elapsed_time": "7 days, 3:23:55", "remaining_time": "4 days, 23:29:18"} +{"current_steps": 14675, "total_steps": 24897, "loss": 0.9563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012493747514960815, "epoch": 1.77, "percentage": 58.94, "elapsed_time": "7 days, 3:27:37", "remaining_time": "4 days, 23:25:56"} +{"current_steps": 14680, "total_steps": 24897, "loss": 0.8965, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001248360235335584, "epoch": 1.77, "percentage": 58.96, "elapsed_time": "7 days, 3:31:20", "remaining_time": "4 days, 23:22:34"} +{"current_steps": 14685, "total_steps": 24897, "loss": 0.7622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012473458376051163, "epoch": 1.77, "percentage": 58.98, "elapsed_time": "7 days, 3:35:03", "remaining_time": "4 days, 23:19:13"} +{"current_steps": 14690, "total_steps": 24897, "loss": 0.9004, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012463315587820878, "epoch": 1.77, "percentage": 59.0, "elapsed_time": "7 days, 3:38:45", "remaining_time": "4 days, 23:15:51"} +{"current_steps": 14695, "total_steps": 24897, "loss": 0.7974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001245317399343851, "epoch": 1.77, "percentage": 59.02, "elapsed_time": "7 days, 3:42:28", "remaining_time": "4 days, 23:12:29"} +{"current_steps": 14700, "total_steps": 24897, "loss": 0.7991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012443033597677047, "epoch": 1.77, "percentage": 59.04, "elapsed_time": "7 days, 3:46:10", "remaining_time": "4 days, 23:09:06"} +{"current_steps": 14705, "total_steps": 24897, "loss": 0.9068, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012432894405308887, "epoch": 1.77, "percentage": 59.06, "elapsed_time": "7 days, 3:49:53", "remaining_time": "4 days, 23:05:45"} +{"current_steps": 14710, "total_steps": 24897, "loss": 0.8967, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012422756421105868, "epoch": 1.77, "percentage": 59.08, "elapsed_time": "7 days, 3:53:35", "remaining_time": "4 days, 23:02:23"} +{"current_steps": 14715, "total_steps": 24897, "loss": 0.9185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012412619649839263, "epoch": 1.77, "percentage": 59.1, "elapsed_time": "7 days, 3:57:19", "remaining_time": "4 days, 22:59:02"} +{"current_steps": 14720, "total_steps": 24897, "loss": 0.8382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001240248409627978, "epoch": 1.77, "percentage": 59.12, "elapsed_time": "7 days, 4:01:02", "remaining_time": "4 days, 22:55:41"} +{"current_steps": 14725, "total_steps": 24897, "loss": 0.7933, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012392349765197541, "epoch": 1.77, "percentage": 59.14, "elapsed_time": "7 days, 4:04:45", "remaining_time": "4 days, 22:52:19"} +{"current_steps": 14730, "total_steps": 24897, "loss": 0.8583, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012382216661362098, "epoch": 1.77, "percentage": 59.16, "elapsed_time": "7 days, 4:08:28", "remaining_time": "4 days, 22:48:57"} +{"current_steps": 14735, "total_steps": 24897, "loss": 0.7335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012372084789542424, "epoch": 1.78, "percentage": 59.18, "elapsed_time": "7 days, 4:12:10", "remaining_time": "4 days, 22:45:35"} +{"current_steps": 14740, "total_steps": 24897, "loss": 0.8889, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012361954154506926, "epoch": 1.78, "percentage": 59.2, "elapsed_time": "7 days, 4:15:52", "remaining_time": "4 days, 22:42:13"} +{"current_steps": 14745, "total_steps": 24897, "loss": 0.9454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012351824761023405, "epoch": 1.78, "percentage": 59.22, "elapsed_time": "7 days, 4:19:34", "remaining_time": "4 days, 22:38:50"} +{"current_steps": 14750, "total_steps": 24897, "loss": 0.7842, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012341696613859098, "epoch": 1.78, "percentage": 59.24, "elapsed_time": "7 days, 4:23:16", "remaining_time": "4 days, 22:35:28"} +{"current_steps": 14755, "total_steps": 24897, "loss": 0.7432, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001233156971778064, "epoch": 1.78, "percentage": 59.26, "elapsed_time": "7 days, 4:26:58", "remaining_time": "4 days, 22:32:06"} +{"current_steps": 14760, "total_steps": 24897, "loss": 0.9517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012321444077554095, "epoch": 1.78, "percentage": 59.28, "elapsed_time": "7 days, 4:30:40", "remaining_time": "4 days, 22:28:43"} +{"current_steps": 14765, "total_steps": 24897, "loss": 0.8708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012311319697944913, "epoch": 1.78, "percentage": 59.3, "elapsed_time": "7 days, 4:34:23", "remaining_time": "4 days, 22:25:21"} +{"current_steps": 14770, "total_steps": 24897, "loss": 0.9541, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012301196583717973, "epoch": 1.78, "percentage": 59.32, "elapsed_time": "7 days, 4:38:05", "remaining_time": "4 days, 22:21:59"} +{"current_steps": 14775, "total_steps": 24897, "loss": 0.7985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001229107473963754, "epoch": 1.78, "percentage": 59.34, "elapsed_time": "7 days, 4:41:47", "remaining_time": "4 days, 22:18:36"} +{"current_steps": 14780, "total_steps": 24897, "loss": 0.8304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000122809541704673, "epoch": 1.78, "percentage": 59.36, "elapsed_time": "7 days, 4:45:29", "remaining_time": "4 days, 22:15:14"} +{"current_steps": 14785, "total_steps": 24897, "loss": 0.8315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012270834880970323, "epoch": 1.78, "percentage": 59.38, "elapsed_time": "7 days, 4:49:11", "remaining_time": "4 days, 22:11:52"} +{"current_steps": 14790, "total_steps": 24897, "loss": 0.792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012260716875909085, "epoch": 1.78, "percentage": 59.4, "elapsed_time": "7 days, 4:52:54", "remaining_time": "4 days, 22:08:30"} +{"current_steps": 14795, "total_steps": 24897, "loss": 0.7308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001225060016004545, "epoch": 1.78, "percentage": 59.42, "elapsed_time": "7 days, 4:56:36", "remaining_time": "4 days, 22:05:07"} +{"current_steps": 14800, "total_steps": 24897, "loss": 0.852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001224048473814069, "epoch": 1.78, "percentage": 59.44, "elapsed_time": "7 days, 5:00:18", "remaining_time": "4 days, 22:01:45"} +{"current_steps": 14805, "total_steps": 24897, "loss": 0.8909, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001223037061495545, "epoch": 1.78, "percentage": 59.46, "elapsed_time": "7 days, 5:04:03", "remaining_time": "4 days, 21:58:24"} +{"current_steps": 14810, "total_steps": 24897, "loss": 0.8531, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012220257795249778, "epoch": 1.78, "percentage": 59.49, "elapsed_time": "7 days, 5:07:45", "remaining_time": "4 days, 21:55:02"} +{"current_steps": 14815, "total_steps": 24897, "loss": 0.855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012210146283783092, "epoch": 1.79, "percentage": 59.51, "elapsed_time": "7 days, 5:11:28", "remaining_time": "4 days, 21:51:40"} +{"current_steps": 14820, "total_steps": 24897, "loss": 0.8358, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012200036085314218, "epoch": 1.79, "percentage": 59.53, "elapsed_time": "7 days, 5:15:10", "remaining_time": "4 days, 21:48:17"} +{"current_steps": 14825, "total_steps": 24897, "loss": 0.8767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012189927204601348, "epoch": 1.79, "percentage": 59.55, "elapsed_time": "7 days, 5:18:52", "remaining_time": "4 days, 21:44:55"} +{"current_steps": 14830, "total_steps": 24897, "loss": 0.8239, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012179819646402052, "epoch": 1.79, "percentage": 59.57, "elapsed_time": "7 days, 5:22:35", "remaining_time": "4 days, 21:41:33"} +{"current_steps": 14835, "total_steps": 24897, "loss": 0.7539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012169713415473288, "epoch": 1.79, "percentage": 59.59, "elapsed_time": "7 days, 5:26:15", "remaining_time": "4 days, 21:38:09"} +{"current_steps": 14840, "total_steps": 24897, "loss": 0.8765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012159608516571383, "epoch": 1.79, "percentage": 59.61, "elapsed_time": "7 days, 5:29:56", "remaining_time": "4 days, 21:34:46"} +{"current_steps": 14845, "total_steps": 24897, "loss": 0.9266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012149504954452036, "epoch": 1.79, "percentage": 59.63, "elapsed_time": "7 days, 5:33:37", "remaining_time": "4 days, 21:31:23"} +{"current_steps": 14850, "total_steps": 24897, "loss": 0.8991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001213940273387031, "epoch": 1.79, "percentage": 59.65, "elapsed_time": "7 days, 5:37:19", "remaining_time": "4 days, 21:28:00"} +{"current_steps": 14855, "total_steps": 24897, "loss": 0.8492, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012129301859580665, "epoch": 1.79, "percentage": 59.67, "elapsed_time": "7 days, 5:41:02", "remaining_time": "4 days, 21:24:38"} +{"current_steps": 14860, "total_steps": 24897, "loss": 0.8993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012119202336336897, "epoch": 1.79, "percentage": 59.69, "elapsed_time": "7 days, 5:44:45", "remaining_time": "4 days, 21:21:16"} +{"current_steps": 14865, "total_steps": 24897, "loss": 0.9201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012109104168892177, "epoch": 1.79, "percentage": 59.71, "elapsed_time": "7 days, 5:48:27", "remaining_time": "4 days, 21:17:53"} +{"current_steps": 14870, "total_steps": 24897, "loss": 0.8558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012099007361999037, "epoch": 1.79, "percentage": 59.73, "elapsed_time": "7 days, 5:52:09", "remaining_time": "4 days, 21:14:30"} +{"current_steps": 14875, "total_steps": 24897, "loss": 0.8236, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012088911920409374, "epoch": 1.79, "percentage": 59.75, "elapsed_time": "7 days, 5:55:51", "remaining_time": "4 days, 21:11:08"} +{"current_steps": 14880, "total_steps": 24897, "loss": 0.7495, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012078817848874434, "epoch": 1.79, "percentage": 59.77, "elapsed_time": "7 days, 5:59:34", "remaining_time": "4 days, 21:07:46"} +{"current_steps": 14885, "total_steps": 24897, "loss": 0.8275, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012068725152144827, "epoch": 1.79, "percentage": 59.79, "elapsed_time": "7 days, 6:03:16", "remaining_time": "4 days, 21:04:23"} +{"current_steps": 14890, "total_steps": 24897, "loss": 0.8756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012058633834970502, "epoch": 1.79, "percentage": 59.81, "elapsed_time": "7 days, 6:07:00", "remaining_time": "4 days, 21:01:01"} +{"current_steps": 14895, "total_steps": 24897, "loss": 0.8228, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012048543902100779, "epoch": 1.79, "percentage": 59.83, "elapsed_time": "7 days, 6:10:43", "remaining_time": "4 days, 20:57:39"} +{"current_steps": 14900, "total_steps": 24897, "loss": 0.8216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012038455358284309, "epoch": 1.8, "percentage": 59.85, "elapsed_time": "7 days, 6:14:25", "remaining_time": "4 days, 20:54:17"} +{"current_steps": 14905, "total_steps": 24897, "loss": 0.873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012028368208269097, "epoch": 1.8, "percentage": 59.87, "elapsed_time": "7 days, 6:18:14", "remaining_time": "4 days, 20:50:58"} +{"current_steps": 14910, "total_steps": 24897, "loss": 0.734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012018282456802487, "epoch": 1.8, "percentage": 59.89, "elapsed_time": "7 days, 6:21:56", "remaining_time": "4 days, 20:47:36"} +{"current_steps": 14915, "total_steps": 24897, "loss": 1.0009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00012008198108631176, "epoch": 1.8, "percentage": 59.91, "elapsed_time": "7 days, 6:25:39", "remaining_time": "4 days, 20:44:14"} +{"current_steps": 14920, "total_steps": 24897, "loss": 1.0065, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011998115168501192, "epoch": 1.8, "percentage": 59.93, "elapsed_time": "7 days, 6:29:21", "remaining_time": "4 days, 20:40:51"} +{"current_steps": 14925, "total_steps": 24897, "loss": 0.8785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011988033641157898, "epoch": 1.8, "percentage": 59.95, "elapsed_time": "7 days, 6:33:03", "remaining_time": "4 days, 20:37:28"} +{"current_steps": 14930, "total_steps": 24897, "loss": 0.9148, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011977953531345996, "epoch": 1.8, "percentage": 59.97, "elapsed_time": "7 days, 6:36:47", "remaining_time": "4 days, 20:34:06"} +{"current_steps": 14935, "total_steps": 24897, "loss": 0.8226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011967874843809522, "epoch": 1.8, "percentage": 59.99, "elapsed_time": "7 days, 6:40:29", "remaining_time": "4 days, 20:30:44"} +{"current_steps": 14940, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011957797583291841, "epoch": 1.8, "percentage": 60.01, "elapsed_time": "7 days, 6:44:11", "remaining_time": "4 days, 20:27:21"} +{"current_steps": 14945, "total_steps": 24897, "loss": 0.7828, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011947721754535645, "epoch": 1.8, "percentage": 60.03, "elapsed_time": "7 days, 6:47:55", "remaining_time": "4 days, 20:24:00"} +{"current_steps": 14950, "total_steps": 24897, "loss": 0.8186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011937647362282948, "epoch": 1.8, "percentage": 60.05, "elapsed_time": "7 days, 6:51:39", "remaining_time": "4 days, 20:20:38"} +{"current_steps": 14955, "total_steps": 24897, "loss": 0.773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011927574411275107, "epoch": 1.8, "percentage": 60.07, "elapsed_time": "7 days, 6:55:22", "remaining_time": "4 days, 20:17:16"} +{"current_steps": 14960, "total_steps": 24897, "loss": 0.7941, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001191750290625278, "epoch": 1.8, "percentage": 60.09, "elapsed_time": "7 days, 6:59:04", "remaining_time": "4 days, 20:13:53"} +{"current_steps": 14965, "total_steps": 24897, "loss": 0.848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011907432851955952, "epoch": 1.8, "percentage": 60.11, "elapsed_time": "7 days, 7:02:47", "remaining_time": "4 days, 20:10:30"} +{"current_steps": 14970, "total_steps": 24897, "loss": 0.7955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011897364253123921, "epoch": 1.8, "percentage": 60.13, "elapsed_time": "7 days, 7:06:30", "remaining_time": "4 days, 20:07:08"} +{"current_steps": 14975, "total_steps": 24897, "loss": 0.894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011887297114495312, "epoch": 1.8, "percentage": 60.15, "elapsed_time": "7 days, 7:10:12", "remaining_time": "4 days, 20:03:45"} +{"current_steps": 14980, "total_steps": 24897, "loss": 0.9111, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001187723144080805, "epoch": 1.8, "percentage": 60.17, "elapsed_time": "7 days, 7:13:55", "remaining_time": "4 days, 20:00:23"} +{"current_steps": 14985, "total_steps": 24897, "loss": 0.839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011867167236799376, "epoch": 1.81, "percentage": 60.19, "elapsed_time": "7 days, 7:17:38", "remaining_time": "4 days, 19:57:00"} +{"current_steps": 14990, "total_steps": 24897, "loss": 0.9122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011857104507205831, "epoch": 1.81, "percentage": 60.21, "elapsed_time": "7 days, 7:21:20", "remaining_time": "4 days, 19:53:37"} +{"current_steps": 14995, "total_steps": 24897, "loss": 0.7432, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011847043256763285, "epoch": 1.81, "percentage": 60.23, "elapsed_time": "7 days, 7:25:03", "remaining_time": "4 days, 19:50:15"} +{"current_steps": 15000, "total_steps": 24897, "loss": 0.7616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011836983490206889, "epoch": 1.81, "percentage": 60.25, "elapsed_time": "7 days, 7:28:45", "remaining_time": "4 days, 19:46:52"} +{"current_steps": 15005, "total_steps": 24897, "loss": 0.8588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011826925212271102, "epoch": 1.81, "percentage": 60.27, "elapsed_time": "7 days, 7:32:34", "remaining_time": "4 days, 19:43:34"} +{"current_steps": 15010, "total_steps": 24897, "loss": 0.9134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011816868427689683, "epoch": 1.81, "percentage": 60.29, "elapsed_time": "7 days, 7:36:18", "remaining_time": "4 days, 19:40:12"} +{"current_steps": 15015, "total_steps": 24897, "loss": 0.8513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011806813141195691, "epoch": 1.81, "percentage": 60.31, "elapsed_time": "7 days, 7:40:01", "remaining_time": "4 days, 19:36:50"} +{"current_steps": 15020, "total_steps": 24897, "loss": 0.8542, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001179675935752148, "epoch": 1.81, "percentage": 60.33, "elapsed_time": "7 days, 7:43:44", "remaining_time": "4 days, 19:33:27"} +{"current_steps": 15025, "total_steps": 24897, "loss": 0.8547, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001178670708139869, "epoch": 1.81, "percentage": 60.35, "elapsed_time": "7 days, 7:47:27", "remaining_time": "4 days, 19:30:04"} +{"current_steps": 15030, "total_steps": 24897, "loss": 0.8579, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011776656317558251, "epoch": 1.81, "percentage": 60.37, "elapsed_time": "7 days, 7:51:09", "remaining_time": "4 days, 19:26:42"} +{"current_steps": 15035, "total_steps": 24897, "loss": 0.9977, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000117666070707304, "epoch": 1.81, "percentage": 60.39, "elapsed_time": "7 days, 7:54:52", "remaining_time": "4 days, 19:23:19"} +{"current_steps": 15040, "total_steps": 24897, "loss": 0.7897, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001175655934564464, "epoch": 1.81, "percentage": 60.41, "elapsed_time": "7 days, 7:58:35", "remaining_time": "4 days, 19:19:56"} +{"current_steps": 15045, "total_steps": 24897, "loss": 0.6902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011746513147029762, "epoch": 1.81, "percentage": 60.43, "elapsed_time": "7 days, 8:02:18", "remaining_time": "4 days, 19:16:34"} +{"current_steps": 15050, "total_steps": 24897, "loss": 0.74, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011736468479613841, "epoch": 1.81, "percentage": 60.45, "elapsed_time": "7 days, 8:06:01", "remaining_time": "4 days, 19:13:11"} +{"current_steps": 15055, "total_steps": 24897, "loss": 0.8132, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011726425348124232, "epoch": 1.81, "percentage": 60.47, "elapsed_time": "7 days, 8:09:44", "remaining_time": "4 days, 19:09:49"} +{"current_steps": 15060, "total_steps": 24897, "loss": 0.94, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011716383757287568, "epoch": 1.81, "percentage": 60.49, "elapsed_time": "7 days, 8:13:26", "remaining_time": "4 days, 19:06:26"} +{"current_steps": 15065, "total_steps": 24897, "loss": 0.8469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011706343711829753, "epoch": 1.82, "percentage": 60.51, "elapsed_time": "7 days, 8:17:09", "remaining_time": "4 days, 19:03:03"} +{"current_steps": 15070, "total_steps": 24897, "loss": 0.7888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001169630521647596, "epoch": 1.82, "percentage": 60.53, "elapsed_time": "7 days, 8:20:53", "remaining_time": "4 days, 18:59:41"} +{"current_steps": 15075, "total_steps": 24897, "loss": 0.8179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001168626827595065, "epoch": 1.82, "percentage": 60.55, "elapsed_time": "7 days, 8:24:36", "remaining_time": "4 days, 18:56:19"} +{"current_steps": 15080, "total_steps": 24897, "loss": 0.9149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001167623289497754, "epoch": 1.82, "percentage": 60.57, "elapsed_time": "7 days, 8:28:20", "remaining_time": "4 days, 18:52:57"} +{"current_steps": 15085, "total_steps": 24897, "loss": 0.8483, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011666199078279604, "epoch": 1.82, "percentage": 60.59, "elapsed_time": "7 days, 8:32:03", "remaining_time": "4 days, 18:49:34"} +{"current_steps": 15090, "total_steps": 24897, "loss": 0.8704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011656166830579087, "epoch": 1.82, "percentage": 60.61, "elapsed_time": "7 days, 8:35:46", "remaining_time": "4 days, 18:46:12"} +{"current_steps": 15095, "total_steps": 24897, "loss": 0.8779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011646136156597513, "epoch": 1.82, "percentage": 60.63, "elapsed_time": "7 days, 8:39:29", "remaining_time": "4 days, 18:42:49"} +{"current_steps": 15100, "total_steps": 24897, "loss": 0.8851, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001163610706105564, "epoch": 1.82, "percentage": 60.65, "elapsed_time": "7 days, 8:43:12", "remaining_time": "4 days, 18:39:26"} +{"current_steps": 15105, "total_steps": 24897, "loss": 0.8484, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011626079548673496, "epoch": 1.82, "percentage": 60.67, "elapsed_time": "7 days, 8:46:57", "remaining_time": "4 days, 18:36:05"} +{"current_steps": 15110, "total_steps": 24897, "loss": 0.8271, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011616053624170359, "epoch": 1.82, "percentage": 60.69, "elapsed_time": "7 days, 8:50:40", "remaining_time": "4 days, 18:32:42"} +{"current_steps": 15115, "total_steps": 24897, "loss": 0.855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011606029292264766, "epoch": 1.82, "percentage": 60.71, "elapsed_time": "7 days, 8:54:23", "remaining_time": "4 days, 18:29:19"} +{"current_steps": 15120, "total_steps": 24897, "loss": 0.8599, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011596006557674497, "epoch": 1.82, "percentage": 60.73, "elapsed_time": "7 days, 8:58:06", "remaining_time": "4 days, 18:25:57"} +{"current_steps": 15125, "total_steps": 24897, "loss": 0.8878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011585985425116589, "epoch": 1.82, "percentage": 60.75, "elapsed_time": "7 days, 9:01:49", "remaining_time": "4 days, 18:22:34"} +{"current_steps": 15130, "total_steps": 24897, "loss": 0.8347, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011575965899307306, "epoch": 1.82, "percentage": 60.77, "elapsed_time": "7 days, 9:05:31", "remaining_time": "4 days, 18:19:10"} +{"current_steps": 15135, "total_steps": 24897, "loss": 0.814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011565947984962187, "epoch": 1.82, "percentage": 60.79, "elapsed_time": "7 days, 9:09:13", "remaining_time": "4 days, 18:15:48"} +{"current_steps": 15140, "total_steps": 24897, "loss": 0.8186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011555931686795987, "epoch": 1.82, "percentage": 60.81, "elapsed_time": "7 days, 9:12:56", "remaining_time": "4 days, 18:12:25"} +{"current_steps": 15145, "total_steps": 24897, "loss": 0.7673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001154591700952271, "epoch": 1.82, "percentage": 60.83, "elapsed_time": "7 days, 9:16:39", "remaining_time": "4 days, 18:09:02"} +{"current_steps": 15150, "total_steps": 24897, "loss": 0.8031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001153590395785559, "epoch": 1.83, "percentage": 60.85, "elapsed_time": "7 days, 9:20:22", "remaining_time": "4 days, 18:05:39"} +{"current_steps": 15155, "total_steps": 24897, "loss": 0.8469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011525892536507111, "epoch": 1.83, "percentage": 60.87, "elapsed_time": "7 days, 9:24:04", "remaining_time": "4 days, 18:02:16"} +{"current_steps": 15160, "total_steps": 24897, "loss": 0.8937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011515882750188976, "epoch": 1.83, "percentage": 60.89, "elapsed_time": "7 days, 9:27:47", "remaining_time": "4 days, 17:58:53"} +{"current_steps": 15165, "total_steps": 24897, "loss": 0.8758, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011505874603612122, "epoch": 1.83, "percentage": 60.91, "elapsed_time": "7 days, 9:31:30", "remaining_time": "4 days, 17:55:30"} +{"current_steps": 15170, "total_steps": 24897, "loss": 0.9219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001149586810148671, "epoch": 1.83, "percentage": 60.93, "elapsed_time": "7 days, 9:35:13", "remaining_time": "4 days, 17:52:07"} +{"current_steps": 15175, "total_steps": 24897, "loss": 0.8072, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011485863248522144, "epoch": 1.83, "percentage": 60.95, "elapsed_time": "7 days, 9:38:57", "remaining_time": "4 days, 17:48:45"} +{"current_steps": 15180, "total_steps": 24897, "loss": 0.7727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011475860049427036, "epoch": 1.83, "percentage": 60.97, "elapsed_time": "7 days, 9:42:39", "remaining_time": "4 days, 17:45:22"} +{"current_steps": 15185, "total_steps": 24897, "loss": 0.8076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011465858508909219, "epoch": 1.83, "percentage": 60.99, "elapsed_time": "7 days, 9:46:22", "remaining_time": "4 days, 17:41:59"} +{"current_steps": 15190, "total_steps": 24897, "loss": 0.8597, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011455858631675752, "epoch": 1.83, "percentage": 61.01, "elapsed_time": "7 days, 9:50:05", "remaining_time": "4 days, 17:38:35"} +{"current_steps": 15195, "total_steps": 24897, "loss": 0.9097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011445860422432913, "epoch": 1.83, "percentage": 61.03, "elapsed_time": "7 days, 9:53:48", "remaining_time": "4 days, 17:35:13"} +{"current_steps": 15200, "total_steps": 24897, "loss": 0.8262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011435863885886188, "epoch": 1.83, "percentage": 61.05, "elapsed_time": "7 days, 9:57:31", "remaining_time": "4 days, 17:31:50"} +{"current_steps": 15205, "total_steps": 24897, "loss": 0.8878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011425869026740278, "epoch": 1.83, "percentage": 61.07, "elapsed_time": "7 days, 10:01:20", "remaining_time": "4 days, 17:28:31"} +{"current_steps": 15210, "total_steps": 24897, "loss": 0.8093, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011415875849699094, "epoch": 1.83, "percentage": 61.09, "elapsed_time": "7 days, 10:05:04", "remaining_time": "4 days, 17:25:08"} +{"current_steps": 15215, "total_steps": 24897, "loss": 0.8693, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011405884359465766, "epoch": 1.83, "percentage": 61.11, "elapsed_time": "7 days, 10:08:47", "remaining_time": "4 days, 17:21:46"} +{"current_steps": 15220, "total_steps": 24897, "loss": 0.7557, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011395894560742612, "epoch": 1.83, "percentage": 61.13, "elapsed_time": "7 days, 10:12:30", "remaining_time": "4 days, 17:18:22"} +{"current_steps": 15225, "total_steps": 24897, "loss": 0.911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001138590645823117, "epoch": 1.83, "percentage": 61.15, "elapsed_time": "7 days, 10:16:13", "remaining_time": "4 days, 17:15:00"} +{"current_steps": 15230, "total_steps": 24897, "loss": 0.8295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011375920056632164, "epoch": 1.84, "percentage": 61.17, "elapsed_time": "7 days, 10:19:56", "remaining_time": "4 days, 17:11:37"} +{"current_steps": 15235, "total_steps": 24897, "loss": 0.8176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011365935360645536, "epoch": 1.84, "percentage": 61.19, "elapsed_time": "7 days, 10:23:39", "remaining_time": "4 days, 17:08:14"} +{"current_steps": 15240, "total_steps": 24897, "loss": 0.8712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001135595237497041, "epoch": 1.84, "percentage": 61.21, "elapsed_time": "7 days, 10:27:22", "remaining_time": "4 days, 17:04:50"} +{"current_steps": 15245, "total_steps": 24897, "loss": 0.8861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011345971104305111, "epoch": 1.84, "percentage": 61.23, "elapsed_time": "7 days, 10:31:05", "remaining_time": "4 days, 17:01:27"} +{"current_steps": 15250, "total_steps": 24897, "loss": 0.9091, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001133599155334715, "epoch": 1.84, "percentage": 61.25, "elapsed_time": "7 days, 10:34:48", "remaining_time": "4 days, 16:58:04"} +{"current_steps": 15255, "total_steps": 24897, "loss": 0.8653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011326013726793249, "epoch": 1.84, "percentage": 61.27, "elapsed_time": "7 days, 10:38:31", "remaining_time": "4 days, 16:54:41"} +{"current_steps": 15260, "total_steps": 24897, "loss": 0.8379, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011316037629339299, "epoch": 1.84, "percentage": 61.29, "elapsed_time": "7 days, 10:42:14", "remaining_time": "4 days, 16:51:18"} +{"current_steps": 15265, "total_steps": 24897, "loss": 0.7981, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011306063265680384, "epoch": 1.84, "percentage": 61.31, "elapsed_time": "7 days, 10:45:56", "remaining_time": "4 days, 16:47:55"} +{"current_steps": 15270, "total_steps": 24897, "loss": 0.9155, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011296090640510758, "epoch": 1.84, "percentage": 61.33, "elapsed_time": "7 days, 10:49:39", "remaining_time": "4 days, 16:44:32"} +{"current_steps": 15275, "total_steps": 24897, "loss": 0.8058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011286119758523885, "epoch": 1.84, "percentage": 61.35, "elapsed_time": "7 days, 10:53:24", "remaining_time": "4 days, 16:41:10"} +{"current_steps": 15280, "total_steps": 24897, "loss": 0.8207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011276150624412388, "epoch": 1.84, "percentage": 61.37, "elapsed_time": "7 days, 10:57:08", "remaining_time": "4 days, 16:37:47"} +{"current_steps": 15285, "total_steps": 24897, "loss": 0.8824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011266183242868073, "epoch": 1.84, "percentage": 61.39, "elapsed_time": "7 days, 11:00:52", "remaining_time": "4 days, 16:34:24"} +{"current_steps": 15290, "total_steps": 24897, "loss": 0.8231, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011256217618581916, "epoch": 1.84, "percentage": 61.41, "elapsed_time": "7 days, 11:04:35", "remaining_time": "4 days, 16:31:01"} +{"current_steps": 15295, "total_steps": 24897, "loss": 0.8126, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011246253756244079, "epoch": 1.84, "percentage": 61.43, "elapsed_time": "7 days, 11:08:16", "remaining_time": "4 days, 16:27:37"} +{"current_steps": 15300, "total_steps": 24897, "loss": 0.8331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011236291660543881, "epoch": 1.84, "percentage": 61.45, "elapsed_time": "7 days, 11:11:58", "remaining_time": "4 days, 16:24:14"} +{"current_steps": 15305, "total_steps": 24897, "loss": 0.9848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001122633133616982, "epoch": 1.84, "percentage": 61.47, "elapsed_time": "7 days, 11:15:48", "remaining_time": "4 days, 16:20:54"} +{"current_steps": 15310, "total_steps": 24897, "loss": 0.873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001121637278780954, "epoch": 1.84, "percentage": 61.49, "elapsed_time": "7 days, 11:19:33", "remaining_time": "4 days, 16:17:32"} +{"current_steps": 15315, "total_steps": 24897, "loss": 0.8332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011206416020149887, "epoch": 1.85, "percentage": 61.51, "elapsed_time": "7 days, 11:23:16", "remaining_time": "4 days, 16:14:09"} +{"current_steps": 15320, "total_steps": 24897, "loss": 0.8793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011196461037876834, "epoch": 1.85, "percentage": 61.53, "elapsed_time": "7 days, 11:26:59", "remaining_time": "4 days, 16:10:46"} +{"current_steps": 15325, "total_steps": 24897, "loss": 0.8082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011186507845675527, "epoch": 1.85, "percentage": 61.55, "elapsed_time": "7 days, 11:30:42", "remaining_time": "4 days, 16:07:23"} +{"current_steps": 15330, "total_steps": 24897, "loss": 0.7892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011176556448230271, "epoch": 1.85, "percentage": 61.57, "elapsed_time": "7 days, 11:34:25", "remaining_time": "4 days, 16:04:00"} +{"current_steps": 15335, "total_steps": 24897, "loss": 0.7797, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011166606850224524, "epoch": 1.85, "percentage": 61.59, "elapsed_time": "7 days, 11:38:08", "remaining_time": "4 days, 16:00:36"} +{"current_steps": 15340, "total_steps": 24897, "loss": 0.7513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011156659056340898, "epoch": 1.85, "percentage": 61.61, "elapsed_time": "7 days, 11:41:51", "remaining_time": "4 days, 15:57:13"} +{"current_steps": 15345, "total_steps": 24897, "loss": 0.8805, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011146713071261145, "epoch": 1.85, "percentage": 61.63, "elapsed_time": "7 days, 11:45:34", "remaining_time": "4 days, 15:53:50"} +{"current_steps": 15350, "total_steps": 24897, "loss": 0.8718, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011136768899666191, "epoch": 1.85, "percentage": 61.65, "elapsed_time": "7 days, 11:49:17", "remaining_time": "4 days, 15:50:26"} +{"current_steps": 15355, "total_steps": 24897, "loss": 0.943, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011126826546236087, "epoch": 1.85, "percentage": 61.67, "elapsed_time": "7 days, 11:53:01", "remaining_time": "4 days, 15:47:04"} +{"current_steps": 15360, "total_steps": 24897, "loss": 0.7976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011116886015650035, "epoch": 1.85, "percentage": 61.69, "elapsed_time": "7 days, 11:56:43", "remaining_time": "4 days, 15:43:40"} +{"current_steps": 15365, "total_steps": 24897, "loss": 0.867, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011106947312586373, "epoch": 1.85, "percentage": 61.71, "elapsed_time": "7 days, 12:00:27", "remaining_time": "4 days, 15:40:17"} +{"current_steps": 15370, "total_steps": 24897, "loss": 0.8927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011097010441722595, "epoch": 1.85, "percentage": 61.73, "elapsed_time": "7 days, 12:04:10", "remaining_time": "4 days, 15:36:53"} +{"current_steps": 15375, "total_steps": 24897, "loss": 0.8307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011087075407735316, "epoch": 1.85, "percentage": 61.75, "elapsed_time": "7 days, 12:07:53", "remaining_time": "4 days, 15:33:30"} +{"current_steps": 15380, "total_steps": 24897, "loss": 0.8692, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011077142215300297, "epoch": 1.85, "percentage": 61.77, "elapsed_time": "7 days, 12:11:37", "remaining_time": "4 days, 15:30:07"} +{"current_steps": 15385, "total_steps": 24897, "loss": 0.7974, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011067210869092417, "epoch": 1.85, "percentage": 61.79, "elapsed_time": "7 days, 12:15:20", "remaining_time": "4 days, 15:26:44"} +{"current_steps": 15390, "total_steps": 24897, "loss": 0.9266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011057281373785712, "epoch": 1.85, "percentage": 61.81, "elapsed_time": "7 days, 12:19:03", "remaining_time": "4 days, 15:23:20"} +{"current_steps": 15395, "total_steps": 24897, "loss": 0.8743, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011047353734053327, "epoch": 1.85, "percentage": 61.83, "elapsed_time": "7 days, 12:22:46", "remaining_time": "4 days, 15:19:57"} +{"current_steps": 15400, "total_steps": 24897, "loss": 0.8066, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001103742795456754, "epoch": 1.86, "percentage": 61.85, "elapsed_time": "7 days, 12:26:29", "remaining_time": "4 days, 15:16:34"} +{"current_steps": 15405, "total_steps": 24897, "loss": 0.8641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011027504039999744, "epoch": 1.86, "percentage": 61.87, "elapsed_time": "7 days, 12:30:18", "remaining_time": "4 days, 15:13:14"} +{"current_steps": 15410, "total_steps": 24897, "loss": 0.8588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00011017581995020475, "epoch": 1.86, "percentage": 61.9, "elapsed_time": "7 days, 12:34:02", "remaining_time": "4 days, 15:09:51"} +{"current_steps": 15415, "total_steps": 24897, "loss": 0.8744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001100766182429937, "epoch": 1.86, "percentage": 61.92, "elapsed_time": "7 days, 12:37:45", "remaining_time": "4 days, 15:06:28"} +{"current_steps": 15420, "total_steps": 24897, "loss": 0.8457, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010997743532505192, "epoch": 1.86, "percentage": 61.94, "elapsed_time": "7 days, 12:41:28", "remaining_time": "4 days, 15:03:04"} +{"current_steps": 15425, "total_steps": 24897, "loss": 0.7379, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010987827124305812, "epoch": 1.86, "percentage": 61.96, "elapsed_time": "7 days, 12:45:12", "remaining_time": "4 days, 14:59:41"} +{"current_steps": 15430, "total_steps": 24897, "loss": 0.7225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010977912604368232, "epoch": 1.86, "percentage": 61.98, "elapsed_time": "7 days, 12:48:55", "remaining_time": "4 days, 14:56:18"} +{"current_steps": 15435, "total_steps": 24897, "loss": 0.8119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010967999977358551, "epoch": 1.86, "percentage": 62.0, "elapsed_time": "7 days, 12:52:38", "remaining_time": "4 days, 14:52:54"} +{"current_steps": 15440, "total_steps": 24897, "loss": 0.8199, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010958089247941981, "epoch": 1.86, "percentage": 62.02, "elapsed_time": "7 days, 12:56:21", "remaining_time": "4 days, 14:49:31"} +{"current_steps": 15445, "total_steps": 24897, "loss": 0.8367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010948180420782835, "epoch": 1.86, "percentage": 62.04, "elapsed_time": "7 days, 13:00:05", "remaining_time": "4 days, 14:46:07"} +{"current_steps": 15450, "total_steps": 24897, "loss": 0.7616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010938273500544543, "epoch": 1.86, "percentage": 62.06, "elapsed_time": "7 days, 13:03:48", "remaining_time": "4 days, 14:42:44"} +{"current_steps": 15455, "total_steps": 24897, "loss": 0.9269, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010928368491889626, "epoch": 1.86, "percentage": 62.08, "elapsed_time": "7 days, 13:07:32", "remaining_time": "4 days, 14:39:21"} +{"current_steps": 15460, "total_steps": 24897, "loss": 0.8234, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010918465399479712, "epoch": 1.86, "percentage": 62.1, "elapsed_time": "7 days, 13:11:15", "remaining_time": "4 days, 14:35:58"} +{"current_steps": 15465, "total_steps": 24897, "loss": 0.8455, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010908564227975518, "epoch": 1.86, "percentage": 62.12, "elapsed_time": "7 days, 13:14:58", "remaining_time": "4 days, 14:32:34"} +{"current_steps": 15470, "total_steps": 24897, "loss": 0.8312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010898664982036877, "epoch": 1.86, "percentage": 62.14, "elapsed_time": "7 days, 13:18:41", "remaining_time": "4 days, 14:29:10"} +{"current_steps": 15475, "total_steps": 24897, "loss": 0.8394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.000108887676663227, "epoch": 1.86, "percentage": 62.16, "elapsed_time": "7 days, 13:22:24", "remaining_time": "4 days, 14:25:47"} +{"current_steps": 15480, "total_steps": 24897, "loss": 0.8675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010878872285490984, "epoch": 1.87, "percentage": 62.18, "elapsed_time": "7 days, 13:26:08", "remaining_time": "4 days, 14:22:24"} +{"current_steps": 15485, "total_steps": 24897, "loss": 0.7959, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010868978844198827, "epoch": 1.87, "percentage": 62.2, "elapsed_time": "7 days, 13:29:51", "remaining_time": "4 days, 14:19:00"} +{"current_steps": 15490, "total_steps": 24897, "loss": 0.8902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010859087347102416, "epoch": 1.87, "percentage": 62.22, "elapsed_time": "7 days, 13:33:33", "remaining_time": "4 days, 14:15:36"} +{"current_steps": 15495, "total_steps": 24897, "loss": 0.9064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010849197798857015, "epoch": 1.87, "percentage": 62.24, "elapsed_time": "7 days, 13:37:16", "remaining_time": "4 days, 14:12:12"} +{"current_steps": 15500, "total_steps": 24897, "loss": 0.854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010839310204116975, "epoch": 1.87, "percentage": 62.26, "elapsed_time": "7 days, 13:41:01", "remaining_time": "4 days, 14:08:49"} +{"current_steps": 15505, "total_steps": 24897, "loss": 0.8495, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001082942456753572, "epoch": 1.87, "percentage": 62.28, "elapsed_time": "7 days, 13:44:50", "remaining_time": "4 days, 14:05:29"} +{"current_steps": 15510, "total_steps": 24897, "loss": 0.8317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001081954089376577, "epoch": 1.87, "percentage": 62.3, "elapsed_time": "7 days, 13:48:32", "remaining_time": "4 days, 14:02:05"} +{"current_steps": 15515, "total_steps": 24897, "loss": 0.8258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010809659187458702, "epoch": 1.87, "percentage": 62.32, "elapsed_time": "7 days, 13:52:15", "remaining_time": "4 days, 13:58:41"} +{"current_steps": 15520, "total_steps": 24897, "loss": 0.8398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010799779453265178, "epoch": 1.87, "percentage": 62.34, "elapsed_time": "7 days, 13:55:57", "remaining_time": "4 days, 13:55:17"} +{"current_steps": 15525, "total_steps": 24897, "loss": 0.7819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010789901695834921, "epoch": 1.87, "percentage": 62.36, "elapsed_time": "7 days, 13:59:39", "remaining_time": "4 days, 13:51:53"} +{"current_steps": 15530, "total_steps": 24897, "loss": 0.8834, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010780025919816748, "epoch": 1.87, "percentage": 62.38, "elapsed_time": "7 days, 14:03:21", "remaining_time": "4 days, 13:48:28"} +{"current_steps": 15535, "total_steps": 24897, "loss": 0.8463, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010770152129858515, "epoch": 1.87, "percentage": 62.4, "elapsed_time": "7 days, 14:07:04", "remaining_time": "4 days, 13:45:04"} +{"current_steps": 15540, "total_steps": 24897, "loss": 0.8869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010760280330607161, "epoch": 1.87, "percentage": 62.42, "elapsed_time": "7 days, 14:10:48", "remaining_time": "4 days, 13:41:41"} +{"current_steps": 15545, "total_steps": 24897, "loss": 0.8906, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010750410526708675, "epoch": 1.87, "percentage": 62.44, "elapsed_time": "7 days, 14:14:33", "remaining_time": "4 days, 13:38:19"} +{"current_steps": 15550, "total_steps": 24897, "loss": 0.774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010740542722808123, "epoch": 1.87, "percentage": 62.46, "elapsed_time": "7 days, 14:18:16", "remaining_time": "4 days, 13:34:55"} +{"current_steps": 15555, "total_steps": 24897, "loss": 0.7609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001073067692354962, "epoch": 1.87, "percentage": 62.48, "elapsed_time": "7 days, 14:22:00", "remaining_time": "4 days, 13:31:31"} +{"current_steps": 15560, "total_steps": 24897, "loss": 0.855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010720813133576336, "epoch": 1.87, "percentage": 62.5, "elapsed_time": "7 days, 14:25:43", "remaining_time": "4 days, 13:28:08"} +{"current_steps": 15565, "total_steps": 24897, "loss": 0.7649, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010710951357530489, "epoch": 1.88, "percentage": 62.52, "elapsed_time": "7 days, 14:29:26", "remaining_time": "4 days, 13:24:44"} +{"current_steps": 15570, "total_steps": 24897, "loss": 0.8864, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010701091600053379, "epoch": 1.88, "percentage": 62.54, "elapsed_time": "7 days, 14:33:10", "remaining_time": "4 days, 13:21:21"} +{"current_steps": 15575, "total_steps": 24897, "loss": 0.8681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010691233865785321, "epoch": 1.88, "percentage": 62.56, "elapsed_time": "7 days, 14:36:52", "remaining_time": "4 days, 13:17:56"} +{"current_steps": 15580, "total_steps": 24897, "loss": 0.9484, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010681378159365696, "epoch": 1.88, "percentage": 62.58, "elapsed_time": "7 days, 14:40:36", "remaining_time": "4 days, 13:14:33"} +{"current_steps": 15585, "total_steps": 24897, "loss": 0.8411, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010671524485432926, "epoch": 1.88, "percentage": 62.6, "elapsed_time": "7 days, 14:44:20", "remaining_time": "4 days, 13:11:10"} +{"current_steps": 15590, "total_steps": 24897, "loss": 0.8295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010661672848624477, "epoch": 1.88, "percentage": 62.62, "elapsed_time": "7 days, 14:48:04", "remaining_time": "4 days, 13:07:46"} +{"current_steps": 15595, "total_steps": 24897, "loss": 0.8014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001065182325357686, "epoch": 1.88, "percentage": 62.64, "elapsed_time": "7 days, 14:51:46", "remaining_time": "4 days, 13:04:22"} +{"current_steps": 15600, "total_steps": 24897, "loss": 0.9029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010641975704925615, "epoch": 1.88, "percentage": 62.66, "elapsed_time": "7 days, 14:55:30", "remaining_time": "4 days, 13:00:58"} +{"current_steps": 15605, "total_steps": 24897, "loss": 0.8727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010632130207305324, "epoch": 1.88, "percentage": 62.68, "elapsed_time": "7 days, 14:59:16", "remaining_time": "4 days, 12:57:36"} +{"current_steps": 15610, "total_steps": 24897, "loss": 0.7635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010622286765349618, "epoch": 1.88, "percentage": 62.7, "elapsed_time": "7 days, 15:03:00", "remaining_time": "4 days, 12:54:13"} +{"current_steps": 15615, "total_steps": 24897, "loss": 0.7731, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010612445383691137, "epoch": 1.88, "percentage": 62.72, "elapsed_time": "7 days, 15:06:43", "remaining_time": "4 days, 12:50:49"} +{"current_steps": 15620, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010602606066961564, "epoch": 1.88, "percentage": 62.74, "elapsed_time": "7 days, 15:10:25", "remaining_time": "4 days, 12:47:24"} +{"current_steps": 15625, "total_steps": 24897, "loss": 0.8516, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010592768819791608, "epoch": 1.88, "percentage": 62.76, "elapsed_time": "7 days, 15:14:08", "remaining_time": "4 days, 12:44:00"} +{"current_steps": 15630, "total_steps": 24897, "loss": 0.8835, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010582933646811008, "epoch": 1.88, "percentage": 62.78, "elapsed_time": "7 days, 15:17:52", "remaining_time": "4 days, 12:40:37"} +{"current_steps": 15635, "total_steps": 24897, "loss": 0.9239, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010573100552648517, "epoch": 1.88, "percentage": 62.8, "elapsed_time": "7 days, 15:21:37", "remaining_time": "4 days, 12:37:14"} +{"current_steps": 15640, "total_steps": 24897, "loss": 0.8181, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010563269541931922, "epoch": 1.88, "percentage": 62.82, "elapsed_time": "7 days, 15:25:21", "remaining_time": "4 days, 12:33:50"} +{"current_steps": 15645, "total_steps": 24897, "loss": 0.8646, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010553440619288014, "epoch": 1.89, "percentage": 62.84, "elapsed_time": "7 days, 15:29:04", "remaining_time": "4 days, 12:30:27"} +{"current_steps": 15650, "total_steps": 24897, "loss": 0.8249, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010543613789342621, "epoch": 1.89, "percentage": 62.86, "elapsed_time": "7 days, 15:32:48", "remaining_time": "4 days, 12:27:03"} +{"current_steps": 15655, "total_steps": 24897, "loss": 0.7699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010533789056720571, "epoch": 1.89, "percentage": 62.88, "elapsed_time": "7 days, 15:36:32", "remaining_time": "4 days, 12:23:39"} +{"current_steps": 15660, "total_steps": 24897, "loss": 0.7474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010523966426045709, "epoch": 1.89, "percentage": 62.9, "elapsed_time": "7 days, 15:40:14", "remaining_time": "4 days, 12:20:15"} +{"current_steps": 15665, "total_steps": 24897, "loss": 0.7825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010514145901940887, "epoch": 1.89, "percentage": 62.92, "elapsed_time": "7 days, 15:43:57", "remaining_time": "4 days, 12:16:51"} +{"current_steps": 15670, "total_steps": 24897, "loss": 0.8004, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001050432748902798, "epoch": 1.89, "percentage": 62.94, "elapsed_time": "7 days, 15:47:41", "remaining_time": "4 days, 12:13:27"} +{"current_steps": 15675, "total_steps": 24897, "loss": 0.7407, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001049451119192785, "epoch": 1.89, "percentage": 62.96, "elapsed_time": "7 days, 15:51:26", "remaining_time": "4 days, 12:10:04"} +{"current_steps": 15680, "total_steps": 24897, "loss": 0.7868, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010484697015260379, "epoch": 1.89, "percentage": 62.98, "elapsed_time": "7 days, 15:55:11", "remaining_time": "4 days, 12:06:41"} +{"current_steps": 15685, "total_steps": 24897, "loss": 0.7846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010474884963644434, "epoch": 1.89, "percentage": 63.0, "elapsed_time": "7 days, 15:58:55", "remaining_time": "4 days, 12:03:18"} +{"current_steps": 15690, "total_steps": 24897, "loss": 0.7969, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010465075041697908, "epoch": 1.89, "percentage": 63.02, "elapsed_time": "7 days, 16:02:39", "remaining_time": "4 days, 11:59:54"} +{"current_steps": 15695, "total_steps": 24897, "loss": 0.7862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010455267254037663, "epoch": 1.89, "percentage": 63.04, "elapsed_time": "7 days, 16:06:23", "remaining_time": "4 days, 11:56:30"} +{"current_steps": 15700, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010445461605279579, "epoch": 1.89, "percentage": 63.06, "elapsed_time": "7 days, 16:10:07", "remaining_time": "4 days, 11:53:07"} +{"current_steps": 15705, "total_steps": 24897, "loss": 0.7997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010435658100038505, "epoch": 1.89, "percentage": 63.08, "elapsed_time": "7 days, 16:13:54", "remaining_time": "4 days, 11:49:45"} +{"current_steps": 15710, "total_steps": 24897, "loss": 1.0228, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010425856742928313, "epoch": 1.89, "percentage": 63.1, "elapsed_time": "7 days, 16:17:38", "remaining_time": "4 days, 11:46:21"} +{"current_steps": 15715, "total_steps": 24897, "loss": 0.8363, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010416057538561842, "epoch": 1.89, "percentage": 63.12, "elapsed_time": "7 days, 16:21:22", "remaining_time": "4 days, 11:42:58"} +{"current_steps": 15720, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010406260491550918, "epoch": 1.89, "percentage": 63.14, "elapsed_time": "7 days, 16:25:06", "remaining_time": "4 days, 11:39:34"} +{"current_steps": 15725, "total_steps": 24897, "loss": 0.8441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001039646560650636, "epoch": 1.89, "percentage": 63.16, "elapsed_time": "7 days, 16:28:51", "remaining_time": "4 days, 11:36:11"} +{"current_steps": 15730, "total_steps": 24897, "loss": 0.8262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010386672888037969, "epoch": 1.9, "percentage": 63.18, "elapsed_time": "7 days, 16:32:35", "remaining_time": "4 days, 11:32:47"} +{"current_steps": 15735, "total_steps": 24897, "loss": 0.8712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010376882340754519, "epoch": 1.9, "percentage": 63.2, "elapsed_time": "7 days, 16:36:19", "remaining_time": "4 days, 11:29:24"} +{"current_steps": 15740, "total_steps": 24897, "loss": 0.8395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001036709396926377, "epoch": 1.9, "percentage": 63.22, "elapsed_time": "7 days, 16:40:04", "remaining_time": "4 days, 11:26:00"} +{"current_steps": 15745, "total_steps": 24897, "loss": 0.8821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010357307778172445, "epoch": 1.9, "percentage": 63.24, "elapsed_time": "7 days, 16:43:48", "remaining_time": "4 days, 11:22:36"} +{"current_steps": 15750, "total_steps": 24897, "loss": 0.8224, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010347523772086268, "epoch": 1.9, "percentage": 63.26, "elapsed_time": "7 days, 16:47:33", "remaining_time": "4 days, 11:19:13"} +{"current_steps": 15755, "total_steps": 24897, "loss": 0.7983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010337741955609907, "epoch": 1.9, "percentage": 63.28, "elapsed_time": "7 days, 16:51:16", "remaining_time": "4 days, 11:15:49"} +{"current_steps": 15760, "total_steps": 24897, "loss": 0.7837, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010327962333347008, "epoch": 1.9, "percentage": 63.3, "elapsed_time": "7 days, 16:55:00", "remaining_time": "4 days, 11:12:25"} +{"current_steps": 15765, "total_steps": 24897, "loss": 0.757, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010318184909900188, "epoch": 1.9, "percentage": 63.32, "elapsed_time": "7 days, 16:58:43", "remaining_time": "4 days, 11:09:01"} +{"current_steps": 15770, "total_steps": 24897, "loss": 0.9554, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010308409689871029, "epoch": 1.9, "percentage": 63.34, "elapsed_time": "7 days, 17:02:27", "remaining_time": "4 days, 11:05:37"} +{"current_steps": 15775, "total_steps": 24897, "loss": 0.8754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010298636677860074, "epoch": 1.9, "percentage": 63.36, "elapsed_time": "7 days, 17:06:11", "remaining_time": "4 days, 11:02:14"} +{"current_steps": 15780, "total_steps": 24897, "loss": 0.841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010288865878466825, "epoch": 1.9, "percentage": 63.38, "elapsed_time": "7 days, 17:09:56", "remaining_time": "4 days, 10:58:50"} +{"current_steps": 15785, "total_steps": 24897, "loss": 0.7688, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010279097296289741, "epoch": 1.9, "percentage": 63.4, "elapsed_time": "7 days, 17:13:40", "remaining_time": "4 days, 10:55:26"} +{"current_steps": 15790, "total_steps": 24897, "loss": 0.7526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001026933093592625, "epoch": 1.9, "percentage": 63.42, "elapsed_time": "7 days, 17:17:22", "remaining_time": "4 days, 10:52:01"} +{"current_steps": 15795, "total_steps": 24897, "loss": 0.8904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010259566801972721, "epoch": 1.9, "percentage": 63.44, "elapsed_time": "7 days, 17:21:04", "remaining_time": "4 days, 10:48:36"} +{"current_steps": 15800, "total_steps": 24897, "loss": 0.7883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010249804899024482, "epoch": 1.9, "percentage": 63.46, "elapsed_time": "7 days, 17:24:43", "remaining_time": "4 days, 10:45:09"} +{"current_steps": 15805, "total_steps": 24897, "loss": 0.8137, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010240045231675802, "epoch": 1.9, "percentage": 63.48, "elapsed_time": "7 days, 17:28:41", "remaining_time": "4 days, 10:41:53"} +{"current_steps": 15810, "total_steps": 24897, "loss": 0.8408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010230287804519914, "epoch": 1.9, "percentage": 63.5, "elapsed_time": "7 days, 17:32:21", "remaining_time": "4 days, 10:38:28"} +{"current_steps": 15815, "total_steps": 24897, "loss": 0.8198, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010220532622148982, "epoch": 1.91, "percentage": 63.52, "elapsed_time": "7 days, 17:36:01", "remaining_time": "4 days, 10:35:01"} +{"current_steps": 15820, "total_steps": 24897, "loss": 0.8253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010210779689154118, "epoch": 1.91, "percentage": 63.54, "elapsed_time": "7 days, 17:39:41", "remaining_time": "4 days, 10:31:35"} +{"current_steps": 15825, "total_steps": 24897, "loss": 0.8452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001020102901012537, "epoch": 1.91, "percentage": 63.56, "elapsed_time": "7 days, 17:43:20", "remaining_time": "4 days, 10:28:08"} +{"current_steps": 15830, "total_steps": 24897, "loss": 0.8889, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010191280589651746, "epoch": 1.91, "percentage": 63.58, "elapsed_time": "7 days, 17:46:59", "remaining_time": "4 days, 10:24:41"} +{"current_steps": 15835, "total_steps": 24897, "loss": 0.8135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010181534432321171, "epoch": 1.91, "percentage": 63.6, "elapsed_time": "7 days, 17:50:37", "remaining_time": "4 days, 10:21:14"} +{"current_steps": 15840, "total_steps": 24897, "loss": 0.8659, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010171790542720504, "epoch": 1.91, "percentage": 63.62, "elapsed_time": "7 days, 17:54:15", "remaining_time": "4 days, 10:17:47"} +{"current_steps": 15845, "total_steps": 24897, "loss": 0.891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010162048925435549, "epoch": 1.91, "percentage": 63.64, "elapsed_time": "7 days, 17:57:47", "remaining_time": "4 days, 10:14:16"} +{"current_steps": 15850, "total_steps": 24897, "loss": 0.7962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010152309585051035, "epoch": 1.91, "percentage": 63.66, "elapsed_time": "7 days, 18:01:24", "remaining_time": "4 days, 10:10:48"} +{"current_steps": 15855, "total_steps": 24897, "loss": 0.9005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010142572526150616, "epoch": 1.91, "percentage": 63.68, "elapsed_time": "7 days, 18:04:57", "remaining_time": "4 days, 10:07:18"} +{"current_steps": 15860, "total_steps": 24897, "loss": 0.7451, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001013283775331687, "epoch": 1.91, "percentage": 63.7, "elapsed_time": "7 days, 18:08:09", "remaining_time": "4 days, 10:03:36"} +{"current_steps": 15865, "total_steps": 24897, "loss": 0.8414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010123105271131319, "epoch": 1.91, "percentage": 63.72, "elapsed_time": "7 days, 18:11:00", "remaining_time": "4 days, 9:59:41"} +{"current_steps": 15870, "total_steps": 24897, "loss": 0.8569, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010113375084174382, "epoch": 1.91, "percentage": 63.74, "elapsed_time": "7 days, 18:13:53", "remaining_time": "4 days, 9:55:48"} +{"current_steps": 15875, "total_steps": 24897, "loss": 0.8139, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010103647197025414, "epoch": 1.91, "percentage": 63.76, "elapsed_time": "7 days, 18:16:47", "remaining_time": "4 days, 9:51:56"} +{"current_steps": 15880, "total_steps": 24897, "loss": 0.8877, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001009392161426267, "epoch": 1.91, "percentage": 63.78, "elapsed_time": "7 days, 18:19:44", "remaining_time": "4 days, 9:48:05"} +{"current_steps": 15885, "total_steps": 24897, "loss": 0.8697, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010084198340463345, "epoch": 1.91, "percentage": 63.8, "elapsed_time": "7 days, 18:22:39", "remaining_time": "4 days, 9:44:13"} +{"current_steps": 15890, "total_steps": 24897, "loss": 0.7452, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010074477380203529, "epoch": 1.91, "percentage": 63.82, "elapsed_time": "7 days, 18:25:30", "remaining_time": "4 days, 9:40:20"} +{"current_steps": 15895, "total_steps": 24897, "loss": 0.856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010064758738058231, "epoch": 1.92, "percentage": 63.84, "elapsed_time": "7 days, 18:30:15", "remaining_time": "4 days, 9:37:30"} +{"current_steps": 15900, "total_steps": 24897, "loss": 0.7415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001005504241860136, "epoch": 1.92, "percentage": 63.86, "elapsed_time": "7 days, 18:36:32", "remaining_time": "4 days, 9:35:32"} +{"current_steps": 15905, "total_steps": 24897, "loss": 0.7633, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010045328426405749, "epoch": 1.92, "percentage": 63.88, "elapsed_time": "7 days, 18:42:46", "remaining_time": "4 days, 9:33:33"} +{"current_steps": 15910, "total_steps": 24897, "loss": 0.8742, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010035616766043119, "epoch": 1.92, "percentage": 63.9, "elapsed_time": "7 days, 18:48:59", "remaining_time": "4 days, 9:31:33"} +{"current_steps": 15915, "total_steps": 24897, "loss": 0.7972, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010025907442084102, "epoch": 1.92, "percentage": 63.92, "elapsed_time": "7 days, 18:55:10", "remaining_time": "4 days, 9:29:32"} +{"current_steps": 15920, "total_steps": 24897, "loss": 0.7564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.0001001620045909822, "epoch": 1.92, "percentage": 63.94, "elapsed_time": "7 days, 19:01:18", "remaining_time": "4 days, 9:27:29"} +{"current_steps": 15925, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 0.00010006495821653914, "epoch": 1.92, "percentage": 63.96, "elapsed_time": "7 days, 19:07:31", "remaining_time": "4 days, 9:25:29"} +{"current_steps": 15930, "total_steps": 24897, "loss": 0.8156, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.996793534318505e-05, "epoch": 1.92, "percentage": 63.98, "elapsed_time": "7 days, 19:13:44", "remaining_time": "4 days, 9:23:28"} +{"current_steps": 15935, "total_steps": 24897, "loss": 0.8548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.987093601658209e-05, "epoch": 1.92, "percentage": 64.0, "elapsed_time": "7 days, 19:19:57", "remaining_time": "4 days, 9:21:27"} +{"current_steps": 15940, "total_steps": 24897, "loss": 0.8627, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.977396028238136e-05, "epoch": 1.92, "percentage": 64.02, "elapsed_time": "7 days, 19:26:09", "remaining_time": "4 days, 9:19:26"} +{"current_steps": 15945, "total_steps": 24897, "loss": 0.8817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.969639671222088e-05, "epoch": 1.92, "percentage": 64.04, "elapsed_time": "7 days, 19:32:22", "remaining_time": "4 days, 9:17:25"} +{"current_steps": 15950, "total_steps": 24897, "loss": 0.7624, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.959946355934948e-05, "epoch": 1.92, "percentage": 64.06, "elapsed_time": "7 days, 19:38:35", "remaining_time": "4 days, 9:15:23"} +{"current_steps": 15955, "total_steps": 24897, "loss": 0.9167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.950255412664435e-05, "epoch": 1.92, "percentage": 64.08, "elapsed_time": "7 days, 19:44:48", "remaining_time": "4 days, 9:13:22"} +{"current_steps": 15960, "total_steps": 24897, "loss": 0.7814, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.940566845971425e-05, "epoch": 1.92, "percentage": 64.1, "elapsed_time": "7 days, 19:51:00", "remaining_time": "4 days, 9:11:20"} +{"current_steps": 15965, "total_steps": 24897, "loss": 0.8389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.93088066041567e-05, "epoch": 1.92, "percentage": 64.12, "elapsed_time": "7 days, 19:57:14", "remaining_time": "4 days, 9:09:19"} +{"current_steps": 15970, "total_steps": 24897, "loss": 0.8364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.921196860555813e-05, "epoch": 1.92, "percentage": 64.14, "elapsed_time": "7 days, 20:03:27", "remaining_time": "4 days, 9:07:17"} +{"current_steps": 15975, "total_steps": 24897, "loss": 0.8762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.91151545094938e-05, "epoch": 1.92, "percentage": 64.16, "elapsed_time": "7 days, 20:09:39", "remaining_time": "4 days, 9:05:15"} +{"current_steps": 15980, "total_steps": 24897, "loss": 0.8234, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.90183643615276e-05, "epoch": 1.93, "percentage": 64.18, "elapsed_time": "7 days, 20:15:52", "remaining_time": "4 days, 9:03:12"} +{"current_steps": 15985, "total_steps": 24897, "loss": 0.8424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.892159820721216e-05, "epoch": 1.93, "percentage": 64.2, "elapsed_time": "7 days, 20:22:05", "remaining_time": "4 days, 9:01:10"} +{"current_steps": 15990, "total_steps": 24897, "loss": 0.7891, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.882485609208885e-05, "epoch": 1.93, "percentage": 64.22, "elapsed_time": "7 days, 20:28:18", "remaining_time": "4 days, 8:59:07"} +{"current_steps": 15995, "total_steps": 24897, "loss": 0.8931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.872813806168778e-05, "epoch": 1.93, "percentage": 64.24, "elapsed_time": "7 days, 20:34:30", "remaining_time": "4 days, 8:57:04"} +{"current_steps": 16000, "total_steps": 24897, "loss": 0.7404, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.86314441615276e-05, "epoch": 1.93, "percentage": 64.26, "elapsed_time": "7 days, 20:40:43", "remaining_time": "4 days, 8:55:01"} +{"current_steps": 16005, "total_steps": 24897, "loss": 0.9749, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.853477443711572e-05, "epoch": 1.93, "percentage": 64.28, "elapsed_time": "7 days, 20:47:00", "remaining_time": "4 days, 8:53:01"} +{"current_steps": 16010, "total_steps": 24897, "loss": 0.8976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.843812893394801e-05, "epoch": 1.93, "percentage": 64.3, "elapsed_time": "7 days, 20:53:14", "remaining_time": "4 days, 8:50:58"} +{"current_steps": 16015, "total_steps": 24897, "loss": 0.8241, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.834150769750921e-05, "epoch": 1.93, "percentage": 64.33, "elapsed_time": "7 days, 20:59:26", "remaining_time": "4 days, 8:48:54"} +{"current_steps": 16020, "total_steps": 24897, "loss": 0.8013, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.824491077327242e-05, "epoch": 1.93, "percentage": 64.35, "elapsed_time": "7 days, 21:05:39", "remaining_time": "4 days, 8:46:51"} +{"current_steps": 16025, "total_steps": 24897, "loss": 0.8838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.814833820669934e-05, "epoch": 1.93, "percentage": 64.37, "elapsed_time": "7 days, 21:11:52", "remaining_time": "4 days, 8:44:47"} +{"current_steps": 16030, "total_steps": 24897, "loss": 0.8375, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.805179004324022e-05, "epoch": 1.93, "percentage": 64.39, "elapsed_time": "7 days, 21:18:05", "remaining_time": "4 days, 8:42:44"} +{"current_steps": 16035, "total_steps": 24897, "loss": 0.8382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.795526632833388e-05, "epoch": 1.93, "percentage": 64.41, "elapsed_time": "7 days, 21:24:18", "remaining_time": "4 days, 8:40:40"} +{"current_steps": 16040, "total_steps": 24897, "loss": 0.9724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.785876710740755e-05, "epoch": 1.93, "percentage": 64.43, "elapsed_time": "7 days, 21:30:31", "remaining_time": "4 days, 8:38:36"} +{"current_steps": 16045, "total_steps": 24897, "loss": 0.8506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.776229242587701e-05, "epoch": 1.93, "percentage": 64.45, "elapsed_time": "7 days, 21:36:45", "remaining_time": "4 days, 8:36:32"} +{"current_steps": 16050, "total_steps": 24897, "loss": 0.818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.766584232914633e-05, "epoch": 1.93, "percentage": 64.47, "elapsed_time": "7 days, 21:42:58", "remaining_time": "4 days, 8:34:27"} +{"current_steps": 16055, "total_steps": 24897, "loss": 0.7629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.756941686260826e-05, "epoch": 1.93, "percentage": 64.49, "elapsed_time": "7 days, 21:49:10", "remaining_time": "4 days, 8:32:23"} +{"current_steps": 16060, "total_steps": 24897, "loss": 0.8116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.747301607164378e-05, "epoch": 1.94, "percentage": 64.51, "elapsed_time": "7 days, 21:55:24", "remaining_time": "4 days, 8:30:18"} +{"current_steps": 16065, "total_steps": 24897, "loss": 0.8521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.737664000162233e-05, "epoch": 1.94, "percentage": 64.53, "elapsed_time": "7 days, 22:01:38", "remaining_time": "4 days, 8:28:14"} +{"current_steps": 16070, "total_steps": 24897, "loss": 0.8474, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.728028869790162e-05, "epoch": 1.94, "percentage": 64.55, "elapsed_time": "7 days, 22:07:52", "remaining_time": "4 days, 8:26:09"} +{"current_steps": 16075, "total_steps": 24897, "loss": 0.8257, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.718396220582785e-05, "epoch": 1.94, "percentage": 64.57, "elapsed_time": "7 days, 22:14:05", "remaining_time": "4 days, 8:24:04"} +{"current_steps": 16080, "total_steps": 24897, "loss": 0.7563, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.708766057073543e-05, "epoch": 1.94, "percentage": 64.59, "elapsed_time": "7 days, 22:20:14", "remaining_time": "4 days, 8:21:57"} +{"current_steps": 16085, "total_steps": 24897, "loss": 0.7673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.69913838379471e-05, "epoch": 1.94, "percentage": 64.61, "elapsed_time": "7 days, 22:26:18", "remaining_time": "4 days, 8:19:46"} +{"current_steps": 16090, "total_steps": 24897, "loss": 0.8493, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.689513205277387e-05, "epoch": 1.94, "percentage": 64.63, "elapsed_time": "7 days, 22:32:22", "remaining_time": "4 days, 8:17:36"} +{"current_steps": 16095, "total_steps": 24897, "loss": 0.8293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.679890526051507e-05, "epoch": 1.94, "percentage": 64.65, "elapsed_time": "7 days, 22:38:26", "remaining_time": "4 days, 8:15:25"} +{"current_steps": 16100, "total_steps": 24897, "loss": 0.728, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.670270350645823e-05, "epoch": 1.94, "percentage": 64.67, "elapsed_time": "7 days, 22:44:29", "remaining_time": "4 days, 8:13:14"} +{"current_steps": 16105, "total_steps": 24897, "loss": 0.8191, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.660652683587907e-05, "epoch": 1.94, "percentage": 64.69, "elapsed_time": "7 days, 22:50:37", "remaining_time": "4 days, 8:11:05"} +{"current_steps": 16110, "total_steps": 24897, "loss": 0.8848, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.65103752940415e-05, "epoch": 1.94, "percentage": 64.71, "elapsed_time": "7 days, 22:56:41", "remaining_time": "4 days, 8:08:54"} +{"current_steps": 16115, "total_steps": 24897, "loss": 0.7661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.641424892619766e-05, "epoch": 1.94, "percentage": 64.73, "elapsed_time": "7 days, 23:02:45", "remaining_time": "4 days, 8:06:43"} +{"current_steps": 16120, "total_steps": 24897, "loss": 0.8795, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.631814777758782e-05, "epoch": 1.94, "percentage": 64.75, "elapsed_time": "7 days, 23:08:51", "remaining_time": "4 days, 8:04:33"} +{"current_steps": 16125, "total_steps": 24897, "loss": 0.8498, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.622207189344035e-05, "epoch": 1.94, "percentage": 64.77, "elapsed_time": "7 days, 23:14:57", "remaining_time": "4 days, 8:02:22"} +{"current_steps": 16130, "total_steps": 24897, "loss": 0.8648, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.612602131897169e-05, "epoch": 1.94, "percentage": 64.79, "elapsed_time": "7 days, 23:21:03", "remaining_time": "4 days, 8:00:11"} +{"current_steps": 16135, "total_steps": 24897, "loss": 0.7739, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.602999609938658e-05, "epoch": 1.94, "percentage": 64.81, "elapsed_time": "7 days, 23:27:09", "remaining_time": "4 days, 7:58:01"} +{"current_steps": 16140, "total_steps": 24897, "loss": 0.8611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.593399627987757e-05, "epoch": 1.94, "percentage": 64.83, "elapsed_time": "7 days, 23:33:16", "remaining_time": "4 days, 7:55:51"} +{"current_steps": 16145, "total_steps": 24897, "loss": 0.7544, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.58380219056254e-05, "epoch": 1.95, "percentage": 64.85, "elapsed_time": "7 days, 23:39:24", "remaining_time": "4 days, 7:53:40"} +{"current_steps": 16150, "total_steps": 24897, "loss": 0.8856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.574207302179874e-05, "epoch": 1.95, "percentage": 64.87, "elapsed_time": "7 days, 23:45:31", "remaining_time": "4 days, 7:51:30"} +{"current_steps": 16155, "total_steps": 24897, "loss": 0.7696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.56461496735544e-05, "epoch": 1.95, "percentage": 64.89, "elapsed_time": "7 days, 23:51:39", "remaining_time": "4 days, 7:49:20"} +{"current_steps": 16160, "total_steps": 24897, "loss": 0.8319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.555025190603709e-05, "epoch": 1.95, "percentage": 64.91, "elapsed_time": "7 days, 23:57:47", "remaining_time": "4 days, 7:47:09"} +{"current_steps": 16165, "total_steps": 24897, "loss": 0.873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.54543797643794e-05, "epoch": 1.95, "percentage": 64.93, "elapsed_time": "8 days, 0:03:55", "remaining_time": "4 days, 7:44:59"} +{"current_steps": 16170, "total_steps": 24897, "loss": 0.8617, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.5358533293702e-05, "epoch": 1.95, "percentage": 64.95, "elapsed_time": "8 days, 0:10:04", "remaining_time": "4 days, 7:42:48"} +{"current_steps": 16175, "total_steps": 24897, "loss": 0.8167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.526271253911346e-05, "epoch": 1.95, "percentage": 64.97, "elapsed_time": "8 days, 0:16:12", "remaining_time": "4 days, 7:40:38"} +{"current_steps": 16180, "total_steps": 24897, "loss": 0.8327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.516691754571015e-05, "epoch": 1.95, "percentage": 64.99, "elapsed_time": "8 days, 0:22:21", "remaining_time": "4 days, 7:38:27"} +{"current_steps": 16185, "total_steps": 24897, "loss": 0.8146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.50711483585764e-05, "epoch": 1.95, "percentage": 65.01, "elapsed_time": "8 days, 0:28:29", "remaining_time": "4 days, 7:36:16"} +{"current_steps": 16190, "total_steps": 24897, "loss": 0.8334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.49754050227843e-05, "epoch": 1.95, "percentage": 65.03, "elapsed_time": "8 days, 0:34:38", "remaining_time": "4 days, 7:34:05"} +{"current_steps": 16195, "total_steps": 24897, "loss": 0.8018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.487968758339395e-05, "epoch": 1.95, "percentage": 65.05, "elapsed_time": "8 days, 0:40:46", "remaining_time": "4 days, 7:31:54"} +{"current_steps": 16200, "total_steps": 24897, "loss": 0.8354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.478399608545314e-05, "epoch": 1.95, "percentage": 65.07, "elapsed_time": "8 days, 0:46:54", "remaining_time": "4 days, 7:29:42"} +{"current_steps": 16205, "total_steps": 24897, "loss": 0.8267, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.468833057399741e-05, "epoch": 1.95, "percentage": 65.09, "elapsed_time": "8 days, 0:53:05", "remaining_time": "4 days, 7:27:32"} +{"current_steps": 16210, "total_steps": 24897, "loss": 0.9216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.459269109405017e-05, "epoch": 1.95, "percentage": 65.11, "elapsed_time": "8 days, 0:59:13", "remaining_time": "4 days, 7:25:21"} +{"current_steps": 16215, "total_steps": 24897, "loss": 0.7983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.44970776906225e-05, "epoch": 1.95, "percentage": 65.13, "elapsed_time": "8 days, 1:05:22", "remaining_time": "4 days, 7:23:09"} +{"current_steps": 16220, "total_steps": 24897, "loss": 0.8494, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.440149040871329e-05, "epoch": 1.95, "percentage": 65.15, "elapsed_time": "8 days, 1:11:30", "remaining_time": "4 days, 7:20:57"} +{"current_steps": 16225, "total_steps": 24897, "loss": 0.9366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.430592929330907e-05, "epoch": 1.95, "percentage": 65.17, "elapsed_time": "8 days, 1:17:38", "remaining_time": "4 days, 7:18:45"} +{"current_steps": 16230, "total_steps": 24897, "loss": 0.7927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.421039438938399e-05, "epoch": 1.96, "percentage": 65.19, "elapsed_time": "8 days, 1:23:47", "remaining_time": "4 days, 7:16:33"} +{"current_steps": 16235, "total_steps": 24897, "loss": 0.8203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.41148857419001e-05, "epoch": 1.96, "percentage": 65.21, "elapsed_time": "8 days, 1:29:55", "remaining_time": "4 days, 7:14:20"} +{"current_steps": 16240, "total_steps": 24897, "loss": 0.8674, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.401940339580687e-05, "epoch": 1.96, "percentage": 65.23, "elapsed_time": "8 days, 1:36:03", "remaining_time": "4 days, 7:12:07"} +{"current_steps": 16245, "total_steps": 24897, "loss": 0.8955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.392394739604141e-05, "epoch": 1.96, "percentage": 65.25, "elapsed_time": "8 days, 1:42:11", "remaining_time": "4 days, 7:09:55"} +{"current_steps": 16250, "total_steps": 24897, "loss": 0.8088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.382851778752858e-05, "epoch": 1.96, "percentage": 65.27, "elapsed_time": "8 days, 1:48:20", "remaining_time": "4 days, 7:07:42"} +{"current_steps": 16255, "total_steps": 24897, "loss": 0.7955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.373311461518066e-05, "epoch": 1.96, "percentage": 65.29, "elapsed_time": "8 days, 1:54:28", "remaining_time": "4 days, 7:05:29"} +{"current_steps": 16260, "total_steps": 24897, "loss": 0.8558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.363773792389759e-05, "epoch": 1.96, "percentage": 65.31, "elapsed_time": "8 days, 2:00:37", "remaining_time": "4 days, 7:03:16"} +{"current_steps": 16265, "total_steps": 24897, "loss": 0.9073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.354238775856672e-05, "epoch": 1.96, "percentage": 65.33, "elapsed_time": "8 days, 2:06:44", "remaining_time": "4 days, 7:01:02"} +{"current_steps": 16270, "total_steps": 24897, "loss": 0.7528, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.344706416406312e-05, "epoch": 1.96, "percentage": 65.35, "elapsed_time": "8 days, 2:12:53", "remaining_time": "4 days, 6:58:49"} +{"current_steps": 16275, "total_steps": 24897, "loss": 0.8392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.335176718524919e-05, "epoch": 1.96, "percentage": 65.37, "elapsed_time": "8 days, 2:19:01", "remaining_time": "4 days, 6:56:35"} +{"current_steps": 16280, "total_steps": 24897, "loss": 0.7843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.325649686697485e-05, "epoch": 1.96, "percentage": 65.39, "elapsed_time": "8 days, 2:25:10", "remaining_time": "4 days, 6:54:22"} +{"current_steps": 16285, "total_steps": 24897, "loss": 0.8878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.316125325407746e-05, "epoch": 1.96, "percentage": 65.41, "elapsed_time": "8 days, 2:31:18", "remaining_time": "4 days, 6:52:08"} +{"current_steps": 16290, "total_steps": 24897, "loss": 0.8405, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.306603639138187e-05, "epoch": 1.96, "percentage": 65.43, "elapsed_time": "8 days, 2:37:26", "remaining_time": "4 days, 6:49:54"} +{"current_steps": 16295, "total_steps": 24897, "loss": 0.8073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.297084632370026e-05, "epoch": 1.96, "percentage": 65.45, "elapsed_time": "8 days, 2:43:35", "remaining_time": "4 days, 6:47:40"} +{"current_steps": 16300, "total_steps": 24897, "loss": 0.9226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.287568309583227e-05, "epoch": 1.96, "percentage": 65.47, "elapsed_time": "8 days, 2:49:43", "remaining_time": "4 days, 6:45:25"} +{"current_steps": 16305, "total_steps": 24897, "loss": 0.7773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.278054675256479e-05, "epoch": 1.96, "percentage": 65.49, "elapsed_time": "8 days, 2:55:55", "remaining_time": "4 days, 6:43:13"} +{"current_steps": 16310, "total_steps": 24897, "loss": 0.8361, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.268543733867225e-05, "epoch": 1.97, "percentage": 65.51, "elapsed_time": "8 days, 3:02:03", "remaining_time": "4 days, 6:40:58"} +{"current_steps": 16315, "total_steps": 24897, "loss": 0.7993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.259035489891628e-05, "epoch": 1.97, "percentage": 65.53, "elapsed_time": "8 days, 3:08:11", "remaining_time": "4 days, 6:38:43"} +{"current_steps": 16320, "total_steps": 24897, "loss": 0.8354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.24952994780458e-05, "epoch": 1.97, "percentage": 65.55, "elapsed_time": "8 days, 3:14:20", "remaining_time": "4 days, 6:36:29"} +{"current_steps": 16325, "total_steps": 24897, "loss": 0.7799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.240027112079702e-05, "epoch": 1.97, "percentage": 65.57, "elapsed_time": "8 days, 3:20:28", "remaining_time": "4 days, 6:34:14"} +{"current_steps": 16330, "total_steps": 24897, "loss": 0.7944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.230526987189351e-05, "epoch": 1.97, "percentage": 65.59, "elapsed_time": "8 days, 3:26:36", "remaining_time": "4 days, 6:31:59"} +{"current_steps": 16335, "total_steps": 24897, "loss": 0.7517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.2210295776046e-05, "epoch": 1.97, "percentage": 65.61, "elapsed_time": "8 days, 3:32:45", "remaining_time": "4 days, 6:29:43"} +{"current_steps": 16340, "total_steps": 24897, "loss": 0.8058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.211534887795241e-05, "epoch": 1.97, "percentage": 65.63, "elapsed_time": "8 days, 3:38:54", "remaining_time": "4 days, 6:27:28"} +{"current_steps": 16345, "total_steps": 24897, "loss": 0.8327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.202042922229788e-05, "epoch": 1.97, "percentage": 65.65, "elapsed_time": "8 days, 3:45:03", "remaining_time": "4 days, 6:25:13"} +{"current_steps": 16350, "total_steps": 24897, "loss": 0.847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.192553685375488e-05, "epoch": 1.97, "percentage": 65.67, "elapsed_time": "8 days, 3:51:11", "remaining_time": "4 days, 6:22:57"} +{"current_steps": 16355, "total_steps": 24897, "loss": 0.8871, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.18306718169828e-05, "epoch": 1.97, "percentage": 65.69, "elapsed_time": "8 days, 3:57:19", "remaining_time": "4 days, 6:20:41"} +{"current_steps": 16360, "total_steps": 24897, "loss": 0.8788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.173583415662835e-05, "epoch": 1.97, "percentage": 65.71, "elapsed_time": "8 days, 4:03:27", "remaining_time": "4 days, 6:18:25"} +{"current_steps": 16365, "total_steps": 24897, "loss": 0.7472, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.164102391732514e-05, "epoch": 1.97, "percentage": 65.73, "elapsed_time": "8 days, 4:09:35", "remaining_time": "4 days, 6:16:09"} +{"current_steps": 16370, "total_steps": 24897, "loss": 0.88, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.156519549902523e-05, "epoch": 1.97, "percentage": 65.75, "elapsed_time": "8 days, 4:15:43", "remaining_time": "4 days, 6:13:53"} +{"current_steps": 16375, "total_steps": 24897, "loss": 0.7696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.147043473005033e-05, "epoch": 1.97, "percentage": 65.77, "elapsed_time": "8 days, 4:21:52", "remaining_time": "4 days, 6:11:36"} +{"current_steps": 16380, "total_steps": 24897, "loss": 0.7794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.137570150703257e-05, "epoch": 1.97, "percentage": 65.79, "elapsed_time": "8 days, 4:28:00", "remaining_time": "4 days, 6:09:19"} +{"current_steps": 16385, "total_steps": 24897, "loss": 0.8403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.128099587455652e-05, "epoch": 1.97, "percentage": 65.81, "elapsed_time": "8 days, 4:34:08", "remaining_time": "4 days, 6:07:03"} +{"current_steps": 16390, "total_steps": 24897, "loss": 0.8527, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.118631787719381e-05, "epoch": 1.97, "percentage": 65.83, "elapsed_time": "8 days, 4:40:17", "remaining_time": "4 days, 6:04:46"} +{"current_steps": 16395, "total_steps": 24897, "loss": 0.8427, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.109166755950302e-05, "epoch": 1.98, "percentage": 65.85, "elapsed_time": "8 days, 4:46:25", "remaining_time": "4 days, 6:02:29"} +{"current_steps": 16400, "total_steps": 24897, "loss": 0.8992, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.101596726464934e-05, "epoch": 1.98, "percentage": 65.87, "elapsed_time": "8 days, 4:52:33", "remaining_time": "4 days, 6:00:12"} +{"current_steps": 16405, "total_steps": 24897, "loss": 0.8519, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.092136688261414e-05, "epoch": 1.98, "percentage": 65.89, "elapsed_time": "8 days, 4:58:48", "remaining_time": "4 days, 5:57:58"} +{"current_steps": 16410, "total_steps": 24897, "loss": 0.7777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.082679430494567e-05, "epoch": 1.98, "percentage": 65.91, "elapsed_time": "8 days, 5:04:56", "remaining_time": "4 days, 5:55:40"} +{"current_steps": 16415, "total_steps": 24897, "loss": 0.8118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.07322495761529e-05, "epoch": 1.98, "percentage": 65.93, "elapsed_time": "8 days, 5:09:35", "remaining_time": "4 days, 5:52:36"} +{"current_steps": 16420, "total_steps": 24897, "loss": 0.873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.06377327407317e-05, "epoch": 1.98, "percentage": 65.95, "elapsed_time": "8 days, 5:12:51", "remaining_time": "4 days, 5:48:50"} +{"current_steps": 16425, "total_steps": 24897, "loss": 0.7815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.05432438431648e-05, "epoch": 1.98, "percentage": 65.97, "elapsed_time": "8 days, 5:15:42", "remaining_time": "4 days, 5:44:51"} +{"current_steps": 16430, "total_steps": 24897, "loss": 0.8202, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.044878292792187e-05, "epoch": 1.98, "percentage": 65.99, "elapsed_time": "8 days, 5:18:32", "remaining_time": "4 days, 5:40:50"} +{"current_steps": 16435, "total_steps": 24897, "loss": 0.802, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.035435003945933e-05, "epoch": 1.98, "percentage": 66.01, "elapsed_time": "8 days, 5:21:22", "remaining_time": "4 days, 5:36:50"} +{"current_steps": 16440, "total_steps": 24897, "loss": 0.8367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.025994522222043e-05, "epoch": 1.98, "percentage": 66.03, "elapsed_time": "8 days, 5:24:13", "remaining_time": "4 days, 5:32:51"} +{"current_steps": 16445, "total_steps": 24897, "loss": 0.894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.016556852063515e-05, "epoch": 1.98, "percentage": 66.05, "elapsed_time": "8 days, 5:27:02", "remaining_time": "4 days, 5:28:51"} +{"current_steps": 16450, "total_steps": 24897, "loss": 0.9086, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.007121997912044e-05, "epoch": 1.98, "percentage": 66.07, "elapsed_time": "8 days, 5:29:53", "remaining_time": "4 days, 5:24:51"} +{"current_steps": 16455, "total_steps": 24897, "loss": 0.7866, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.997689964207978e-05, "epoch": 1.98, "percentage": 66.09, "elapsed_time": "8 days, 5:32:44", "remaining_time": "4 days, 5:20:52"} +{"current_steps": 16460, "total_steps": 24897, "loss": 0.8574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.988260755390346e-05, "epoch": 1.98, "percentage": 66.11, "elapsed_time": "8 days, 5:35:33", "remaining_time": "4 days, 5:16:52"} +{"current_steps": 16465, "total_steps": 24897, "loss": 0.8875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.978834375896841e-05, "epoch": 1.98, "percentage": 66.13, "elapsed_time": "8 days, 5:38:23", "remaining_time": "4 days, 5:12:52"} +{"current_steps": 16470, "total_steps": 24897, "loss": 0.8013, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.96941083016384e-05, "epoch": 1.98, "percentage": 66.15, "elapsed_time": "8 days, 5:41:14", "remaining_time": "4 days, 5:08:53"} +{"current_steps": 16475, "total_steps": 24897, "loss": 0.7737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.95999012262637e-05, "epoch": 1.99, "percentage": 66.17, "elapsed_time": "8 days, 5:44:05", "remaining_time": "4 days, 5:04:54"} +{"current_steps": 16480, "total_steps": 24897, "loss": 0.8443, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.950572257718132e-05, "epoch": 1.99, "percentage": 66.19, "elapsed_time": "8 days, 5:46:56", "remaining_time": "4 days, 5:00:55"} +{"current_steps": 16485, "total_steps": 24897, "loss": 0.8448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.941157239871479e-05, "epoch": 1.99, "percentage": 66.21, "elapsed_time": "8 days, 5:49:46", "remaining_time": "4 days, 4:56:56"} +{"current_steps": 16490, "total_steps": 24897, "loss": 0.883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.931745073517443e-05, "epoch": 1.99, "percentage": 66.23, "elapsed_time": "8 days, 5:52:36", "remaining_time": "4 days, 4:52:56"} +{"current_steps": 16495, "total_steps": 24897, "loss": 0.8718, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.922335763085696e-05, "epoch": 1.99, "percentage": 66.25, "elapsed_time": "8 days, 5:55:26", "remaining_time": "4 days, 4:48:56"} +{"current_steps": 16500, "total_steps": 24897, "loss": 0.9618, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.912929313004572e-05, "epoch": 1.99, "percentage": 66.27, "elapsed_time": "8 days, 5:58:17", "remaining_time": "4 days, 4:44:58"} +{"current_steps": 16505, "total_steps": 24897, "loss": 0.8928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.903525727701054e-05, "epoch": 1.99, "percentage": 66.29, "elapsed_time": "8 days, 6:01:08", "remaining_time": "4 days, 4:40:59"} +{"current_steps": 16510, "total_steps": 24897, "loss": 0.8255, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.89412501160079e-05, "epoch": 1.99, "percentage": 66.31, "elapsed_time": "8 days, 6:03:58", "remaining_time": "4 days, 4:37:00"} +{"current_steps": 16515, "total_steps": 24897, "loss": 0.9482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.884727169128066e-05, "epoch": 1.99, "percentage": 66.33, "elapsed_time": "8 days, 6:06:49", "remaining_time": "4 days, 4:33:01"} +{"current_steps": 16520, "total_steps": 24897, "loss": 0.8118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.875332204705818e-05, "epoch": 1.99, "percentage": 66.35, "elapsed_time": "8 days, 6:09:39", "remaining_time": "4 days, 4:29:01"} +{"current_steps": 16525, "total_steps": 24897, "loss": 0.8802, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.865940122755623e-05, "epoch": 1.99, "percentage": 66.37, "elapsed_time": "8 days, 6:12:28", "remaining_time": "4 days, 4:25:02"} +{"current_steps": 16530, "total_steps": 24897, "loss": 0.9211, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.85655092769772e-05, "epoch": 1.99, "percentage": 66.39, "elapsed_time": "8 days, 6:15:19", "remaining_time": "4 days, 4:21:03"} +{"current_steps": 16535, "total_steps": 24897, "loss": 0.8589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.847164623950965e-05, "epoch": 1.99, "percentage": 66.41, "elapsed_time": "8 days, 6:18:09", "remaining_time": "4 days, 4:17:04"} +{"current_steps": 16540, "total_steps": 24897, "loss": 0.8135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.837781215932862e-05, "epoch": 1.99, "percentage": 66.43, "elapsed_time": "8 days, 6:20:59", "remaining_time": "4 days, 4:13:05"} +{"current_steps": 16545, "total_steps": 24897, "loss": 0.7389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.828400708059567e-05, "epoch": 1.99, "percentage": 66.45, "elapsed_time": "8 days, 6:23:49", "remaining_time": "4 days, 4:09:06"} +{"current_steps": 16550, "total_steps": 24897, "loss": 0.8357, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.81902310474585e-05, "epoch": 1.99, "percentage": 66.47, "elapsed_time": "8 days, 6:26:40", "remaining_time": "4 days, 4:05:08"} +{"current_steps": 16555, "total_steps": 24897, "loss": 0.7262, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.809648410405123e-05, "epoch": 1.99, "percentage": 66.49, "elapsed_time": "8 days, 6:29:29", "remaining_time": "4 days, 4:01:09"} +{"current_steps": 16560, "total_steps": 24897, "loss": 0.7932, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.800276629449426e-05, "epoch": 2.0, "percentage": 66.51, "elapsed_time": "8 days, 6:32:19", "remaining_time": "4 days, 3:57:09"} +{"current_steps": 16565, "total_steps": 24897, "loss": 0.7226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.790907766289437e-05, "epoch": 2.0, "percentage": 66.53, "elapsed_time": "8 days, 6:35:09", "remaining_time": "4 days, 3:53:10"} +{"current_steps": 16570, "total_steps": 24897, "loss": 0.8625, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.781541825334453e-05, "epoch": 2.0, "percentage": 66.55, "elapsed_time": "8 days, 6:37:59", "remaining_time": "4 days, 3:49:12"} +{"current_steps": 16575, "total_steps": 24897, "loss": 0.8287, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.772178810992392e-05, "epoch": 2.0, "percentage": 66.57, "elapsed_time": "8 days, 6:40:50", "remaining_time": "4 days, 3:45:14"} +{"current_steps": 16580, "total_steps": 24897, "loss": 0.7968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.762818727669797e-05, "epoch": 2.0, "percentage": 66.59, "elapsed_time": "8 days, 6:43:40", "remaining_time": "4 days, 3:41:15"} +{"current_steps": 16585, "total_steps": 24897, "loss": 0.787, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.753461579771846e-05, "epoch": 2.0, "percentage": 66.61, "elapsed_time": "8 days, 6:46:30", "remaining_time": "4 days, 3:37:16"} +{"current_steps": 16590, "total_steps": 24897, "loss": 0.8718, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.744107371702315e-05, "epoch": 2.0, "percentage": 66.63, "elapsed_time": "8 days, 6:49:19", "remaining_time": "4 days, 3:33:17"} +{"current_steps": 16595, "total_steps": 24897, "loss": 0.8378, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.734756107863608e-05, "epoch": 2.0, "percentage": 66.65, "elapsed_time": "8 days, 6:52:09", "remaining_time": "4 days, 3:29:18"} +{"current_steps": 16600, "total_steps": 24897, "loss": 0.7441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.725407792656731e-05, "epoch": 2.0, "percentage": 66.67, "elapsed_time": "8 days, 6:54:57", "remaining_time": "4 days, 3:25:19"} +{"current_steps": 16605, "total_steps": 24897, "loss": 0.8506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.716062430481328e-05, "epoch": 2.0, "percentage": 66.69, "elapsed_time": "8 days, 6:57:53", "remaining_time": "4 days, 3:21:23"} +{"current_steps": 16610, "total_steps": 24897, "loss": 0.8325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.706720025735627e-05, "epoch": 2.0, "percentage": 66.71, "elapsed_time": "8 days, 7:00:43", "remaining_time": "4 days, 3:17:25"} +{"current_steps": 16615, "total_steps": 24897, "loss": 0.8599, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.697380582816476e-05, "epoch": 2.0, "percentage": 66.73, "elapsed_time": "8 days, 7:03:32", "remaining_time": "4 days, 3:13:26"} +{"current_steps": 16620, "total_steps": 24897, "loss": 0.7717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.688044106119325e-05, "epoch": 2.0, "percentage": 66.76, "elapsed_time": "8 days, 7:06:22", "remaining_time": "4 days, 3:09:28"} +{"current_steps": 16625, "total_steps": 24897, "loss": 0.8317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.678710600038233e-05, "epoch": 2.0, "percentage": 66.78, "elapsed_time": "8 days, 7:09:12", "remaining_time": "4 days, 3:05:29"} +{"current_steps": 16630, "total_steps": 24897, "loss": 0.8358, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.669380068965856e-05, "epoch": 2.0, "percentage": 66.8, "elapsed_time": "8 days, 7:12:02", "remaining_time": "4 days, 3:01:31"} +{"current_steps": 16635, "total_steps": 24897, "loss": 0.8603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.660052517293448e-05, "epoch": 2.0, "percentage": 66.82, "elapsed_time": "8 days, 7:14:54", "remaining_time": "4 days, 2:57:33"} +{"current_steps": 16640, "total_steps": 24897, "loss": 0.9561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.650727949410867e-05, "epoch": 2.0, "percentage": 66.84, "elapsed_time": "8 days, 7:17:43", "remaining_time": "4 days, 2:53:35"} +{"current_steps": 16645, "total_steps": 24897, "loss": 0.8045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.641406369706572e-05, "epoch": 2.01, "percentage": 66.86, "elapsed_time": "8 days, 7:20:33", "remaining_time": "4 days, 2:49:37"} +{"current_steps": 16650, "total_steps": 24897, "loss": 0.8112, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.6320877825676e-05, "epoch": 2.01, "percentage": 66.88, "elapsed_time": "8 days, 7:23:23", "remaining_time": "4 days, 2:45:38"} +{"current_steps": 16655, "total_steps": 24897, "loss": 0.8145, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.622772192379588e-05, "epoch": 2.01, "percentage": 66.9, "elapsed_time": "8 days, 7:26:12", "remaining_time": "4 days, 2:41:40"} +{"current_steps": 16660, "total_steps": 24897, "loss": 0.6998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.61345960352676e-05, "epoch": 2.01, "percentage": 66.92, "elapsed_time": "8 days, 7:29:02", "remaining_time": "4 days, 2:37:42"} +{"current_steps": 16665, "total_steps": 24897, "loss": 0.7655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.604150020391937e-05, "epoch": 2.01, "percentage": 66.94, "elapsed_time": "8 days, 7:31:52", "remaining_time": "4 days, 2:33:44"} +{"current_steps": 16670, "total_steps": 24897, "loss": 0.8022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.594843447356517e-05, "epoch": 2.01, "percentage": 66.96, "elapsed_time": "8 days, 7:34:43", "remaining_time": "4 days, 2:29:46"} +{"current_steps": 16675, "total_steps": 24897, "loss": 0.7376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.585539888800475e-05, "epoch": 2.01, "percentage": 66.98, "elapsed_time": "8 days, 7:37:33", "remaining_time": "4 days, 2:25:48"} +{"current_steps": 16680, "total_steps": 24897, "loss": 0.763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.576239349102375e-05, "epoch": 2.01, "percentage": 67.0, "elapsed_time": "8 days, 7:40:23", "remaining_time": "4 days, 2:21:50"} +{"current_steps": 16685, "total_steps": 24897, "loss": 0.7902, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.56694183263937e-05, "epoch": 2.01, "percentage": 67.02, "elapsed_time": "8 days, 7:43:14", "remaining_time": "4 days, 2:17:53"} +{"current_steps": 16690, "total_steps": 24897, "loss": 0.8473, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.557647343787175e-05, "epoch": 2.01, "percentage": 67.04, "elapsed_time": "8 days, 7:46:04", "remaining_time": "4 days, 2:13:55"} +{"current_steps": 16695, "total_steps": 24897, "loss": 0.7173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.548355886920084e-05, "epoch": 2.01, "percentage": 67.06, "elapsed_time": "8 days, 7:48:54", "remaining_time": "4 days, 2:09:57"} +{"current_steps": 16700, "total_steps": 24897, "loss": 0.8219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.539067466410962e-05, "epoch": 2.01, "percentage": 67.08, "elapsed_time": "8 days, 7:51:44", "remaining_time": "4 days, 2:06:00"} +{"current_steps": 16705, "total_steps": 24897, "loss": 0.9054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.529782086631254e-05, "epoch": 2.01, "percentage": 67.1, "elapsed_time": "8 days, 7:54:40", "remaining_time": "4 days, 2:02:05"} +{"current_steps": 16710, "total_steps": 24897, "loss": 0.8016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.520499751950965e-05, "epoch": 2.01, "percentage": 67.12, "elapsed_time": "8 days, 7:57:31", "remaining_time": "4 days, 1:58:08"} +{"current_steps": 16715, "total_steps": 24897, "loss": 0.8295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.51122046673867e-05, "epoch": 2.01, "percentage": 67.14, "elapsed_time": "8 days, 8:00:21", "remaining_time": "4 days, 1:54:11"} +{"current_steps": 16720, "total_steps": 24897, "loss": 0.733, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.501944235361502e-05, "epoch": 2.01, "percentage": 67.16, "elapsed_time": "8 days, 8:03:11", "remaining_time": "4 days, 1:50:13"} +{"current_steps": 16725, "total_steps": 24897, "loss": 0.7954, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.492671062185177e-05, "epoch": 2.02, "percentage": 67.18, "elapsed_time": "8 days, 8:06:01", "remaining_time": "4 days, 1:46:15"} +{"current_steps": 16730, "total_steps": 24897, "loss": 0.7754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.483400951573954e-05, "epoch": 2.02, "percentage": 67.2, "elapsed_time": "8 days, 8:08:51", "remaining_time": "4 days, 1:42:18"} +{"current_steps": 16735, "total_steps": 24897, "loss": 0.7463, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.474133907890651e-05, "epoch": 2.02, "percentage": 67.22, "elapsed_time": "8 days, 8:11:41", "remaining_time": "4 days, 1:38:20"} +{"current_steps": 16740, "total_steps": 24897, "loss": 0.7516, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.464869935496641e-05, "epoch": 2.02, "percentage": 67.24, "elapsed_time": "8 days, 8:14:31", "remaining_time": "4 days, 1:34:23"} +{"current_steps": 16745, "total_steps": 24897, "loss": 0.7053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.455609038751871e-05, "epoch": 2.02, "percentage": 67.26, "elapsed_time": "8 days, 8:17:21", "remaining_time": "4 days, 1:30:26"} +{"current_steps": 16750, "total_steps": 24897, "loss": 0.7657, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.446351222014822e-05, "epoch": 2.02, "percentage": 67.28, "elapsed_time": "8 days, 8:20:12", "remaining_time": "4 days, 1:26:29"} +{"current_steps": 16755, "total_steps": 24897, "loss": 0.7796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.437096489642526e-05, "epoch": 2.02, "percentage": 67.3, "elapsed_time": "8 days, 8:23:02", "remaining_time": "4 days, 1:22:31"} +{"current_steps": 16760, "total_steps": 24897, "loss": 0.7717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.42784484599057e-05, "epoch": 2.02, "percentage": 67.32, "elapsed_time": "8 days, 8:25:52", "remaining_time": "4 days, 1:18:34"} +{"current_steps": 16765, "total_steps": 24897, "loss": 0.8181, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.418596295413083e-05, "epoch": 2.02, "percentage": 67.34, "elapsed_time": "8 days, 8:28:43", "remaining_time": "4 days, 1:14:37"} +{"current_steps": 16770, "total_steps": 24897, "loss": 0.8205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.409350842262741e-05, "epoch": 2.02, "percentage": 67.36, "elapsed_time": "8 days, 8:31:35", "remaining_time": "4 days, 1:10:41"} +{"current_steps": 16775, "total_steps": 24897, "loss": 0.7734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.400108490890763e-05, "epoch": 2.02, "percentage": 67.38, "elapsed_time": "8 days, 8:34:26", "remaining_time": "4 days, 1:06:44"} +{"current_steps": 16780, "total_steps": 24897, "loss": 0.7043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.390869245646897e-05, "epoch": 2.02, "percentage": 67.4, "elapsed_time": "8 days, 8:37:18", "remaining_time": "4 days, 1:02:48"} +{"current_steps": 16785, "total_steps": 24897, "loss": 0.8023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.381633110879454e-05, "epoch": 2.02, "percentage": 67.42, "elapsed_time": "8 days, 8:40:09", "remaining_time": "4 days, 0:58:52"} +{"current_steps": 16790, "total_steps": 24897, "loss": 0.7682, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.372400090935256e-05, "epoch": 2.02, "percentage": 67.44, "elapsed_time": "8 days, 8:42:59", "remaining_time": "4 days, 0:54:55"} +{"current_steps": 16795, "total_steps": 24897, "loss": 0.8831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.363170190159673e-05, "epoch": 2.02, "percentage": 67.46, "elapsed_time": "8 days, 8:45:49", "remaining_time": "4 days, 0:50:58"} +{"current_steps": 16800, "total_steps": 24897, "loss": 0.7443, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.353943412896596e-05, "epoch": 2.02, "percentage": 67.48, "elapsed_time": "8 days, 8:48:39", "remaining_time": "4 days, 0:47:01"} +{"current_steps": 16805, "total_steps": 24897, "loss": 0.8307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.34471976348846e-05, "epoch": 2.02, "percentage": 67.5, "elapsed_time": "8 days, 8:51:37", "remaining_time": "4 days, 0:43:08"} +{"current_steps": 16810, "total_steps": 24897, "loss": 0.7417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.33549924627622e-05, "epoch": 2.03, "percentage": 67.52, "elapsed_time": "8 days, 8:54:27", "remaining_time": "4 days, 0:39:11"} +{"current_steps": 16815, "total_steps": 24897, "loss": 0.801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.326281865599356e-05, "epoch": 2.03, "percentage": 67.54, "elapsed_time": "8 days, 8:57:16", "remaining_time": "4 days, 0:35:14"} +{"current_steps": 16820, "total_steps": 24897, "loss": 0.7997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.317067625795867e-05, "epoch": 2.03, "percentage": 67.56, "elapsed_time": "8 days, 9:00:07", "remaining_time": "4 days, 0:31:17"} +{"current_steps": 16825, "total_steps": 24897, "loss": 0.8765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.307856531202295e-05, "epoch": 2.03, "percentage": 67.58, "elapsed_time": "8 days, 9:02:57", "remaining_time": "4 days, 0:27:21"} +{"current_steps": 16830, "total_steps": 24897, "loss": 0.8878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.298648586153676e-05, "epoch": 2.03, "percentage": 67.6, "elapsed_time": "8 days, 9:05:47", "remaining_time": "4 days, 0:23:24"} +{"current_steps": 16835, "total_steps": 24897, "loss": 0.7722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.289443794983578e-05, "epoch": 2.03, "percentage": 67.62, "elapsed_time": "8 days, 9:08:38", "remaining_time": "4 days, 0:19:28"} +{"current_steps": 16840, "total_steps": 24897, "loss": 0.8224, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.280242162024079e-05, "epoch": 2.03, "percentage": 67.64, "elapsed_time": "8 days, 9:11:28", "remaining_time": "4 days, 0:15:31"} +{"current_steps": 16845, "total_steps": 24897, "loss": 0.8216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.271043691605778e-05, "epoch": 2.03, "percentage": 67.66, "elapsed_time": "8 days, 9:14:18", "remaining_time": "4 days, 0:11:35"} +{"current_steps": 16850, "total_steps": 24897, "loss": 0.755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.261848388057775e-05, "epoch": 2.03, "percentage": 67.68, "elapsed_time": "8 days, 9:17:08", "remaining_time": "4 days, 0:07:38"} +{"current_steps": 16855, "total_steps": 24897, "loss": 0.7801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.252656255707689e-05, "epoch": 2.03, "percentage": 67.7, "elapsed_time": "8 days, 9:19:58", "remaining_time": "4 days, 0:03:41"} +{"current_steps": 16860, "total_steps": 24897, "loss": 0.7938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.243467298881636e-05, "epoch": 2.03, "percentage": 67.72, "elapsed_time": "8 days, 9:22:48", "remaining_time": "3 days, 23:59:45"} +{"current_steps": 16865, "total_steps": 24897, "loss": 0.8549, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.234281521904253e-05, "epoch": 2.03, "percentage": 67.74, "elapsed_time": "8 days, 9:25:38", "remaining_time": "3 days, 23:55:48"} +{"current_steps": 16870, "total_steps": 24897, "loss": 0.812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.225098929098673e-05, "epoch": 2.03, "percentage": 67.76, "elapsed_time": "8 days, 9:28:28", "remaining_time": "3 days, 23:51:52"} +{"current_steps": 16875, "total_steps": 24897, "loss": 0.7724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.215919524786521e-05, "epoch": 2.03, "percentage": 67.78, "elapsed_time": "8 days, 9:31:20", "remaining_time": "3 days, 23:47:57"} +{"current_steps": 16880, "total_steps": 24897, "loss": 0.7095, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.206743313287925e-05, "epoch": 2.03, "percentage": 67.8, "elapsed_time": "8 days, 9:34:11", "remaining_time": "3 days, 23:44:01"} +{"current_steps": 16885, "total_steps": 24897, "loss": 0.7106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.197570298921533e-05, "epoch": 2.03, "percentage": 67.82, "elapsed_time": "8 days, 9:37:01", "remaining_time": "3 days, 23:40:05"} +{"current_steps": 16890, "total_steps": 24897, "loss": 0.8283, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.18840048600446e-05, "epoch": 2.04, "percentage": 67.84, "elapsed_time": "8 days, 9:39:51", "remaining_time": "3 days, 23:36:09"} +{"current_steps": 16895, "total_steps": 24897, "loss": 0.7387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.179233878852323e-05, "epoch": 2.04, "percentage": 67.86, "elapsed_time": "8 days, 9:42:42", "remaining_time": "3 days, 23:32:13"} +{"current_steps": 16900, "total_steps": 24897, "loss": 0.8595, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.170070481779224e-05, "epoch": 2.04, "percentage": 67.88, "elapsed_time": "8 days, 9:45:33", "remaining_time": "3 days, 23:28:17"} +{"current_steps": 16905, "total_steps": 24897, "loss": 0.7955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.160910299097782e-05, "epoch": 2.04, "percentage": 67.9, "elapsed_time": "8 days, 9:48:31", "remaining_time": "3 days, 23:24:25"} +{"current_steps": 16910, "total_steps": 24897, "loss": 0.8606, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.15175333511907e-05, "epoch": 2.04, "percentage": 67.92, "elapsed_time": "8 days, 9:51:22", "remaining_time": "3 days, 23:20:29"} +{"current_steps": 16915, "total_steps": 24897, "loss": 0.6951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.14259959415267e-05, "epoch": 2.04, "percentage": 67.94, "elapsed_time": "8 days, 9:54:14", "remaining_time": "3 days, 23:16:34"} +{"current_steps": 16920, "total_steps": 24897, "loss": 0.8414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.133449080506615e-05, "epoch": 2.04, "percentage": 67.96, "elapsed_time": "8 days, 9:57:06", "remaining_time": "3 days, 23:12:39"} +{"current_steps": 16925, "total_steps": 24897, "loss": 0.7542, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.124301798487458e-05, "epoch": 2.04, "percentage": 67.98, "elapsed_time": "8 days, 9:59:56", "remaining_time": "3 days, 23:08:43"} +{"current_steps": 16930, "total_steps": 24897, "loss": 0.7875, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.115157752400211e-05, "epoch": 2.04, "percentage": 68.0, "elapsed_time": "8 days, 10:02:46", "remaining_time": "3 days, 23:04:47"} +{"current_steps": 16935, "total_steps": 24897, "loss": 0.8582, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.106016946548365e-05, "epoch": 2.04, "percentage": 68.02, "elapsed_time": "8 days, 10:05:36", "remaining_time": "3 days, 23:00:51"} +{"current_steps": 16940, "total_steps": 24897, "loss": 0.8431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.096879385233879e-05, "epoch": 2.04, "percentage": 68.04, "elapsed_time": "8 days, 10:08:27", "remaining_time": "3 days, 22:56:56"} +{"current_steps": 16945, "total_steps": 24897, "loss": 0.8991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.087745072757208e-05, "epoch": 2.04, "percentage": 68.06, "elapsed_time": "8 days, 10:11:17", "remaining_time": "3 days, 22:53:00"} +{"current_steps": 16950, "total_steps": 24897, "loss": 0.7591, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.078614013417253e-05, "epoch": 2.04, "percentage": 68.08, "elapsed_time": "8 days, 10:14:08", "remaining_time": "3 days, 22:49:04"} +{"current_steps": 16955, "total_steps": 24897, "loss": 0.7754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.069486211511394e-05, "epoch": 2.04, "percentage": 68.1, "elapsed_time": "8 days, 10:16:59", "remaining_time": "3 days, 22:45:09"} +{"current_steps": 16960, "total_steps": 24897, "loss": 0.7698, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.060361671335474e-05, "epoch": 2.04, "percentage": 68.12, "elapsed_time": "8 days, 10:19:49", "remaining_time": "3 days, 22:41:14"} +{"current_steps": 16965, "total_steps": 24897, "loss": 0.7253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.051240397183818e-05, "epoch": 2.04, "percentage": 68.14, "elapsed_time": "8 days, 10:22:38", "remaining_time": "3 days, 22:37:18"} +{"current_steps": 16970, "total_steps": 24897, "loss": 0.773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.042122393349189e-05, "epoch": 2.04, "percentage": 68.16, "elapsed_time": "8 days, 10:25:29", "remaining_time": "3 days, 22:33:23"} +{"current_steps": 16975, "total_steps": 24897, "loss": 0.7793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.033007664122827e-05, "epoch": 2.05, "percentage": 68.18, "elapsed_time": "8 days, 10:28:21", "remaining_time": "3 days, 22:29:28"} +{"current_steps": 16980, "total_steps": 24897, "loss": 0.8217, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.023896213794425e-05, "epoch": 2.05, "percentage": 68.2, "elapsed_time": "8 days, 10:31:13", "remaining_time": "3 days, 22:25:33"} +{"current_steps": 16985, "total_steps": 24897, "loss": 0.8153, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.014788046652135e-05, "epoch": 2.05, "percentage": 68.22, "elapsed_time": "8 days, 10:34:03", "remaining_time": "3 days, 22:21:38"} +{"current_steps": 16990, "total_steps": 24897, "loss": 0.7681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.00568316698256e-05, "epoch": 2.05, "percentage": 68.24, "elapsed_time": "8 days, 10:36:53", "remaining_time": "3 days, 22:17:42"} +{"current_steps": 16995, "total_steps": 24897, "loss": 0.7707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.996581579070762e-05, "epoch": 2.05, "percentage": 68.26, "elapsed_time": "8 days, 10:39:45", "remaining_time": "3 days, 22:13:48"} +{"current_steps": 17000, "total_steps": 24897, "loss": 0.8198, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.987483287200243e-05, "epoch": 2.05, "percentage": 68.28, "elapsed_time": "8 days, 10:42:37", "remaining_time": "3 days, 22:09:53"} +{"current_steps": 17005, "total_steps": 24897, "loss": 0.7626, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.978388295652974e-05, "epoch": 2.05, "percentage": 68.3, "elapsed_time": "8 days, 10:45:35", "remaining_time": "3 days, 22:06:02"} +{"current_steps": 17010, "total_steps": 24897, "loss": 0.7247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.969296608709351e-05, "epoch": 2.05, "percentage": 68.32, "elapsed_time": "8 days, 10:48:25", "remaining_time": "3 days, 22:02:06"} +{"current_steps": 17015, "total_steps": 24897, "loss": 0.7484, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.96020823064823e-05, "epoch": 2.05, "percentage": 68.34, "elapsed_time": "8 days, 10:51:14", "remaining_time": "3 days, 21:58:11"} +{"current_steps": 17020, "total_steps": 24897, "loss": 0.9497, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.951123165746892e-05, "epoch": 2.05, "percentage": 68.36, "elapsed_time": "8 days, 10:54:05", "remaining_time": "3 days, 21:54:16"} +{"current_steps": 17025, "total_steps": 24897, "loss": 0.729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.942041418281086e-05, "epoch": 2.05, "percentage": 68.38, "elapsed_time": "8 days, 10:56:55", "remaining_time": "3 days, 21:50:21"} +{"current_steps": 17030, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.932962992524974e-05, "epoch": 2.05, "percentage": 68.4, "elapsed_time": "8 days, 10:59:45", "remaining_time": "3 days, 21:46:26"} +{"current_steps": 17035, "total_steps": 24897, "loss": 0.7491, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.923887892751165e-05, "epoch": 2.05, "percentage": 68.42, "elapsed_time": "8 days, 11:02:35", "remaining_time": "3 days, 21:42:31"} +{"current_steps": 17040, "total_steps": 24897, "loss": 0.7509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.914816123230703e-05, "epoch": 2.05, "percentage": 68.44, "elapsed_time": "8 days, 11:05:26", "remaining_time": "3 days, 21:38:36"} +{"current_steps": 17045, "total_steps": 24897, "loss": 0.7658, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.905747688233069e-05, "epoch": 2.05, "percentage": 68.46, "elapsed_time": "8 days, 11:08:16", "remaining_time": "3 days, 21:34:41"} +{"current_steps": 17050, "total_steps": 24897, "loss": 0.7546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.896682592026164e-05, "epoch": 2.05, "percentage": 68.48, "elapsed_time": "8 days, 11:11:07", "remaining_time": "3 days, 21:30:46"} +{"current_steps": 17055, "total_steps": 24897, "loss": 0.7747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.887620838876326e-05, "epoch": 2.05, "percentage": 68.5, "elapsed_time": "8 days, 11:13:57", "remaining_time": "3 days, 21:26:51"} +{"current_steps": 17060, "total_steps": 24897, "loss": 0.8356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.878562433048316e-05, "epoch": 2.06, "percentage": 68.52, "elapsed_time": "8 days, 11:16:47", "remaining_time": "3 days, 21:22:56"} +{"current_steps": 17065, "total_steps": 24897, "loss": 0.8421, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.869507378805321e-05, "epoch": 2.06, "percentage": 68.54, "elapsed_time": "8 days, 11:19:38", "remaining_time": "3 days, 21:19:02"} +{"current_steps": 17070, "total_steps": 24897, "loss": 0.8294, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.86045568040895e-05, "epoch": 2.06, "percentage": 68.56, "elapsed_time": "8 days, 11:22:28", "remaining_time": "3 days, 21:15:07"} +{"current_steps": 17075, "total_steps": 24897, "loss": 0.8208, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.851407342119226e-05, "epoch": 2.06, "percentage": 68.58, "elapsed_time": "8 days, 11:25:18", "remaining_time": "3 days, 21:11:12"} +{"current_steps": 17080, "total_steps": 24897, "loss": 0.7766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.842362368194611e-05, "epoch": 2.06, "percentage": 68.6, "elapsed_time": "8 days, 11:28:10", "remaining_time": "3 days, 21:07:18"} +{"current_steps": 17085, "total_steps": 24897, "loss": 0.8258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.833320762891964e-05, "epoch": 2.06, "percentage": 68.62, "elapsed_time": "8 days, 11:31:02", "remaining_time": "3 days, 21:03:25"} +{"current_steps": 17090, "total_steps": 24897, "loss": 0.836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.824282530466562e-05, "epoch": 2.06, "percentage": 68.64, "elapsed_time": "8 days, 11:33:54", "remaining_time": "3 days, 20:59:31"} +{"current_steps": 17095, "total_steps": 24897, "loss": 0.7441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.815247675172097e-05, "epoch": 2.06, "percentage": 68.66, "elapsed_time": "8 days, 11:36:46", "remaining_time": "3 days, 20:55:37"} +{"current_steps": 17100, "total_steps": 24897, "loss": 0.8585, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.806216201260677e-05, "epoch": 2.06, "percentage": 68.68, "elapsed_time": "8 days, 11:39:36", "remaining_time": "3 days, 20:51:42"} +{"current_steps": 17105, "total_steps": 24897, "loss": 0.7769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.797188112982811e-05, "epoch": 2.06, "percentage": 68.7, "elapsed_time": "8 days, 11:42:33", "remaining_time": "3 days, 20:47:51"} +{"current_steps": 17110, "total_steps": 24897, "loss": 0.8654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.788163414587417e-05, "epoch": 2.06, "percentage": 68.72, "elapsed_time": "8 days, 11:45:23", "remaining_time": "3 days, 20:43:56"} +{"current_steps": 17115, "total_steps": 24897, "loss": 0.9097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.779142110321812e-05, "epoch": 2.06, "percentage": 68.74, "elapsed_time": "8 days, 11:48:15", "remaining_time": "3 days, 20:40:03"} +{"current_steps": 17120, "total_steps": 24897, "loss": 0.8099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.770124204431734e-05, "epoch": 2.06, "percentage": 68.76, "elapsed_time": "8 days, 11:51:07", "remaining_time": "3 days, 20:36:09"} +{"current_steps": 17125, "total_steps": 24897, "loss": 0.8323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.761109701161308e-05, "epoch": 2.06, "percentage": 68.78, "elapsed_time": "8 days, 11:53:59", "remaining_time": "3 days, 20:32:15"} +{"current_steps": 17130, "total_steps": 24897, "loss": 0.7408, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.752098604753045e-05, "epoch": 2.06, "percentage": 68.8, "elapsed_time": "8 days, 11:56:50", "remaining_time": "3 days, 20:28:22"} +{"current_steps": 17135, "total_steps": 24897, "loss": 0.6895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.743090919447869e-05, "epoch": 2.06, "percentage": 68.82, "elapsed_time": "8 days, 11:59:41", "remaining_time": "3 days, 20:24:28"} +{"current_steps": 17140, "total_steps": 24897, "loss": 0.7986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.734086649485109e-05, "epoch": 2.07, "percentage": 68.84, "elapsed_time": "8 days, 12:02:31", "remaining_time": "3 days, 20:20:33"} +{"current_steps": 17145, "total_steps": 24897, "loss": 0.7426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.725085799102464e-05, "epoch": 2.07, "percentage": 68.86, "elapsed_time": "8 days, 12:05:22", "remaining_time": "3 days, 20:16:40"} +{"current_steps": 17150, "total_steps": 24897, "loss": 0.779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.716088372536035e-05, "epoch": 2.07, "percentage": 68.88, "elapsed_time": "8 days, 12:08:12", "remaining_time": "3 days, 20:12:45"} +{"current_steps": 17155, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.707094374020302e-05, "epoch": 2.07, "percentage": 68.9, "elapsed_time": "8 days, 12:11:02", "remaining_time": "3 days, 20:08:51"} +{"current_steps": 17160, "total_steps": 24897, "loss": 0.9254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.698103807788152e-05, "epoch": 2.07, "percentage": 68.92, "elapsed_time": "8 days, 12:13:53", "remaining_time": "3 days, 20:04:57"} +{"current_steps": 17165, "total_steps": 24897, "loss": 0.7887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.689116678070839e-05, "epoch": 2.07, "percentage": 68.94, "elapsed_time": "8 days, 12:16:43", "remaining_time": "3 days, 20:01:03"} +{"current_steps": 17170, "total_steps": 24897, "loss": 0.7343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.680132989098004e-05, "epoch": 2.07, "percentage": 68.96, "elapsed_time": "8 days, 12:19:33", "remaining_time": "3 days, 19:57:09"} +{"current_steps": 17175, "total_steps": 24897, "loss": 0.7547, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.671152745097664e-05, "epoch": 2.07, "percentage": 68.98, "elapsed_time": "8 days, 12:22:23", "remaining_time": "3 days, 19:53:15"} +{"current_steps": 17180, "total_steps": 24897, "loss": 0.8438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.662175950296231e-05, "epoch": 2.07, "percentage": 69.0, "elapsed_time": "8 days, 12:25:16", "remaining_time": "3 days, 19:49:22"} +{"current_steps": 17185, "total_steps": 24897, "loss": 0.7216, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.653202608918479e-05, "epoch": 2.07, "percentage": 69.02, "elapsed_time": "8 days, 12:28:07", "remaining_time": "3 days, 19:45:29"} +{"current_steps": 17190, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.644232725187557e-05, "epoch": 2.07, "percentage": 69.04, "elapsed_time": "8 days, 12:30:59", "remaining_time": "3 days, 19:41:36"} +{"current_steps": 17195, "total_steps": 24897, "loss": 0.7884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.635266303324993e-05, "epoch": 2.07, "percentage": 69.06, "elapsed_time": "8 days, 12:33:51", "remaining_time": "3 days, 19:37:43"} +{"current_steps": 17200, "total_steps": 24897, "loss": 0.7618, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.62630334755068e-05, "epoch": 2.07, "percentage": 69.08, "elapsed_time": "8 days, 12:36:43", "remaining_time": "3 days, 19:33:50"} +{"current_steps": 17205, "total_steps": 24897, "loss": 0.8837, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.617343862082887e-05, "epoch": 2.07, "percentage": 69.1, "elapsed_time": "8 days, 12:39:39", "remaining_time": "3 days, 19:29:58"} +{"current_steps": 17210, "total_steps": 24897, "loss": 0.8484, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.608387851138241e-05, "epoch": 2.07, "percentage": 69.12, "elapsed_time": "8 days, 12:42:29", "remaining_time": "3 days, 19:26:05"} +{"current_steps": 17215, "total_steps": 24897, "loss": 0.7411, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.599435318931737e-05, "epoch": 2.07, "percentage": 69.14, "elapsed_time": "8 days, 12:45:19", "remaining_time": "3 days, 19:22:11"} +{"current_steps": 17220, "total_steps": 24897, "loss": 0.7927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.590486269676741e-05, "epoch": 2.07, "percentage": 69.16, "elapsed_time": "8 days, 12:48:09", "remaining_time": "3 days, 19:18:17"} +{"current_steps": 17225, "total_steps": 24897, "loss": 0.7709, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.58154070758497e-05, "epoch": 2.08, "percentage": 69.19, "elapsed_time": "8 days, 12:50:59", "remaining_time": "3 days, 19:14:23"} +{"current_steps": 17230, "total_steps": 24897, "loss": 0.8836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.572598636866499e-05, "epoch": 2.08, "percentage": 69.21, "elapsed_time": "8 days, 12:53:50", "remaining_time": "3 days, 19:10:30"} +{"current_steps": 17235, "total_steps": 24897, "loss": 0.83, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.563660061729763e-05, "epoch": 2.08, "percentage": 69.23, "elapsed_time": "8 days, 12:56:42", "remaining_time": "3 days, 19:06:37"} +{"current_steps": 17240, "total_steps": 24897, "loss": 0.7005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.554724986381558e-05, "epoch": 2.08, "percentage": 69.25, "elapsed_time": "8 days, 12:59:33", "remaining_time": "3 days, 19:02:44"} +{"current_steps": 17245, "total_steps": 24897, "loss": 0.8471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.545793415027026e-05, "epoch": 2.08, "percentage": 69.27, "elapsed_time": "8 days, 13:02:23", "remaining_time": "3 days, 18:58:51"} +{"current_steps": 17250, "total_steps": 24897, "loss": 0.8156, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.53686535186966e-05, "epoch": 2.08, "percentage": 69.29, "elapsed_time": "8 days, 13:05:13", "remaining_time": "3 days, 18:54:57"} +{"current_steps": 17255, "total_steps": 24897, "loss": 0.7603, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.527940801111296e-05, "epoch": 2.08, "percentage": 69.31, "elapsed_time": "8 days, 13:08:04", "remaining_time": "3 days, 18:51:04"} +{"current_steps": 17260, "total_steps": 24897, "loss": 0.7897, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.519019766952135e-05, "epoch": 2.08, "percentage": 69.33, "elapsed_time": "8 days, 13:10:55", "remaining_time": "3 days, 18:47:11"} +{"current_steps": 17265, "total_steps": 24897, "loss": 0.7789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.51010225359071e-05, "epoch": 2.08, "percentage": 69.35, "elapsed_time": "8 days, 13:13:47", "remaining_time": "3 days, 18:43:19"} +{"current_steps": 17270, "total_steps": 24897, "loss": 0.7543, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.501188265223893e-05, "epoch": 2.08, "percentage": 69.37, "elapsed_time": "8 days, 13:16:39", "remaining_time": "3 days, 18:39:26"} +{"current_steps": 17275, "total_steps": 24897, "loss": 0.8192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.492277806046908e-05, "epoch": 2.08, "percentage": 69.39, "elapsed_time": "8 days, 13:19:30", "remaining_time": "3 days, 18:35:33"} +{"current_steps": 17280, "total_steps": 24897, "loss": 0.7938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.483370880253311e-05, "epoch": 2.08, "percentage": 69.41, "elapsed_time": "8 days, 13:22:22", "remaining_time": "3 days, 18:31:41"} +{"current_steps": 17285, "total_steps": 24897, "loss": 0.7727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.474467492034998e-05, "epoch": 2.08, "percentage": 69.43, "elapsed_time": "8 days, 13:25:14", "remaining_time": "3 days, 18:27:48"} +{"current_steps": 17290, "total_steps": 24897, "loss": 0.7481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.465567645582199e-05, "epoch": 2.08, "percentage": 69.45, "elapsed_time": "8 days, 13:28:06", "remaining_time": "3 days, 18:23:56"} +{"current_steps": 17295, "total_steps": 24897, "loss": 0.7659, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.45667134508347e-05, "epoch": 2.08, "percentage": 69.47, "elapsed_time": "8 days, 13:30:58", "remaining_time": "3 days, 18:20:04"} +{"current_steps": 17300, "total_steps": 24897, "loss": 0.8235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.447778594725717e-05, "epoch": 2.08, "percentage": 69.49, "elapsed_time": "8 days, 13:33:50", "remaining_time": "3 days, 18:16:11"} +{"current_steps": 17305, "total_steps": 24897, "loss": 0.8337, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.438889398694161e-05, "epoch": 2.09, "percentage": 69.51, "elapsed_time": "8 days, 13:36:46", "remaining_time": "3 days, 18:12:21"} +{"current_steps": 17310, "total_steps": 24897, "loss": 0.7323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.430003761172349e-05, "epoch": 2.09, "percentage": 69.53, "elapsed_time": "8 days, 13:39:37", "remaining_time": "3 days, 18:08:28"} +{"current_steps": 17315, "total_steps": 24897, "loss": 0.8554, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.421121686342152e-05, "epoch": 2.09, "percentage": 69.55, "elapsed_time": "8 days, 13:42:27", "remaining_time": "3 days, 18:04:35"} +{"current_steps": 17320, "total_steps": 24897, "loss": 0.788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.412243178383784e-05, "epoch": 2.09, "percentage": 69.57, "elapsed_time": "8 days, 13:45:19", "remaining_time": "3 days, 18:00:43"} +{"current_steps": 17325, "total_steps": 24897, "loss": 0.7654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.403368241475757e-05, "epoch": 2.09, "percentage": 69.59, "elapsed_time": "8 days, 13:48:09", "remaining_time": "3 days, 17:56:50"} +{"current_steps": 17330, "total_steps": 24897, "loss": 0.8301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.394496879794911e-05, "epoch": 2.09, "percentage": 69.61, "elapsed_time": "8 days, 13:51:00", "remaining_time": "3 days, 17:52:57"} +{"current_steps": 17335, "total_steps": 24897, "loss": 0.9021, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.385629097516407e-05, "epoch": 2.09, "percentage": 69.63, "elapsed_time": "8 days, 13:55:07", "remaining_time": "3 days, 17:49:38"} +{"current_steps": 17340, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.376764898813714e-05, "epoch": 2.09, "percentage": 69.65, "elapsed_time": "8 days, 14:01:31", "remaining_time": "3 days, 17:47:19"} +{"current_steps": 17345, "total_steps": 24897, "loss": 0.8482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.367904287858618e-05, "epoch": 2.09, "percentage": 69.67, "elapsed_time": "8 days, 14:07:59", "remaining_time": "3 days, 17:45:00"} +{"current_steps": 17350, "total_steps": 24897, "loss": 0.8076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.359047268821219e-05, "epoch": 2.09, "percentage": 69.69, "elapsed_time": "8 days, 14:13:49", "remaining_time": "3 days, 17:42:25"} +{"current_steps": 17355, "total_steps": 24897, "loss": 0.8716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.350193845869918e-05, "epoch": 2.09, "percentage": 69.71, "elapsed_time": "8 days, 14:19:30", "remaining_time": "3 days, 17:39:47"} +{"current_steps": 17360, "total_steps": 24897, "loss": 0.7338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.341344023171441e-05, "epoch": 2.09, "percentage": 69.73, "elapsed_time": "8 days, 14:25:43", "remaining_time": "3 days, 17:37:22"} +{"current_steps": 17365, "total_steps": 24897, "loss": 0.7572, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.332497804890803e-05, "epoch": 2.09, "percentage": 69.75, "elapsed_time": "8 days, 14:32:11", "remaining_time": "3 days, 17:35:03"} +{"current_steps": 17370, "total_steps": 24897, "loss": 0.7844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.323655195191328e-05, "epoch": 2.09, "percentage": 69.77, "elapsed_time": "8 days, 14:38:39", "remaining_time": "3 days, 17:32:44"} +{"current_steps": 17375, "total_steps": 24897, "loss": 0.7465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.314816198234636e-05, "epoch": 2.09, "percentage": 69.79, "elapsed_time": "8 days, 14:45:06", "remaining_time": "3 days, 17:30:25"} +{"current_steps": 17380, "total_steps": 24897, "loss": 0.8417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.305980818180663e-05, "epoch": 2.09, "percentage": 69.81, "elapsed_time": "8 days, 14:51:34", "remaining_time": "3 days, 17:28:06"} +{"current_steps": 17385, "total_steps": 24897, "loss": 0.7415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.297149059187628e-05, "epoch": 2.09, "percentage": 69.83, "elapsed_time": "8 days, 14:58:02", "remaining_time": "3 days, 17:25:47"} +{"current_steps": 17390, "total_steps": 24897, "loss": 0.8308, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.28832092541205e-05, "epoch": 2.1, "percentage": 69.85, "elapsed_time": "8 days, 15:04:29", "remaining_time": "3 days, 17:23:27"} +{"current_steps": 17395, "total_steps": 24897, "loss": 0.7261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.279496421008735e-05, "epoch": 2.1, "percentage": 69.87, "elapsed_time": "8 days, 15:10:55", "remaining_time": "3 days, 17:21:07"} +{"current_steps": 17400, "total_steps": 24897, "loss": 0.6732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.2706755501308e-05, "epoch": 2.1, "percentage": 69.89, "elapsed_time": "8 days, 15:17:23", "remaining_time": "3 days, 17:18:47"} +{"current_steps": 17405, "total_steps": 24897, "loss": 0.7984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.261858316929634e-05, "epoch": 2.1, "percentage": 69.91, "elapsed_time": "8 days, 15:23:52", "remaining_time": "3 days, 17:16:28"} +{"current_steps": 17410, "total_steps": 24897, "loss": 0.7923, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.253044725554922e-05, "epoch": 2.1, "percentage": 69.93, "elapsed_time": "8 days, 15:29:37", "remaining_time": "3 days, 17:13:50"} +{"current_steps": 17415, "total_steps": 24897, "loss": 0.7706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.244234780154627e-05, "epoch": 2.1, "percentage": 69.95, "elapsed_time": "8 days, 15:33:21", "remaining_time": "3 days, 17:10:19"} +{"current_steps": 17420, "total_steps": 24897, "loss": 0.748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.235428484875006e-05, "epoch": 2.1, "percentage": 69.97, "elapsed_time": "8 days, 15:37:05", "remaining_time": "3 days, 17:06:49"} +{"current_steps": 17425, "total_steps": 24897, "loss": 0.8136, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.226625843860595e-05, "epoch": 2.1, "percentage": 69.99, "elapsed_time": "8 days, 15:40:48", "remaining_time": "3 days, 17:03:18"} +{"current_steps": 17430, "total_steps": 24897, "loss": 0.7853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.217826861254208e-05, "epoch": 2.1, "percentage": 70.01, "elapsed_time": "8 days, 15:44:32", "remaining_time": "3 days, 16:59:47"} +{"current_steps": 17435, "total_steps": 24897, "loss": 0.8022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.209031541196931e-05, "epoch": 2.1, "percentage": 70.03, "elapsed_time": "8 days, 15:48:15", "remaining_time": "3 days, 16:56:17"} +{"current_steps": 17440, "total_steps": 24897, "loss": 0.8619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.200239887828147e-05, "epoch": 2.1, "percentage": 70.05, "elapsed_time": "8 days, 15:51:58", "remaining_time": "3 days, 16:52:46"} +{"current_steps": 17445, "total_steps": 24897, "loss": 0.7699, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.191451905285494e-05, "epoch": 2.1, "percentage": 70.07, "elapsed_time": "8 days, 15:55:42", "remaining_time": "3 days, 16:49:15"} +{"current_steps": 17450, "total_steps": 24897, "loss": 0.7937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.182667597704889e-05, "epoch": 2.1, "percentage": 70.09, "elapsed_time": "8 days, 15:59:26", "remaining_time": "3 days, 16:45:45"} +{"current_steps": 17455, "total_steps": 24897, "loss": 0.7801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.17388696922051e-05, "epoch": 2.1, "percentage": 70.11, "elapsed_time": "8 days, 16:03:10", "remaining_time": "3 days, 16:42:14"} +{"current_steps": 17460, "total_steps": 24897, "loss": 0.8244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.165110023964828e-05, "epoch": 2.1, "percentage": 70.13, "elapsed_time": "8 days, 16:06:53", "remaining_time": "3 days, 16:38:43"} +{"current_steps": 17465, "total_steps": 24897, "loss": 0.7159, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.156336766068557e-05, "epoch": 2.1, "percentage": 70.15, "elapsed_time": "8 days, 16:10:37", "remaining_time": "3 days, 16:35:13"} +{"current_steps": 17470, "total_steps": 24897, "loss": 0.8173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.147567199660684e-05, "epoch": 2.1, "percentage": 70.17, "elapsed_time": "8 days, 16:14:20", "remaining_time": "3 days, 16:31:42"} +{"current_steps": 17475, "total_steps": 24897, "loss": 0.7264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.138801328868453e-05, "epoch": 2.11, "percentage": 70.19, "elapsed_time": "8 days, 16:18:04", "remaining_time": "3 days, 16:28:11"} +{"current_steps": 17480, "total_steps": 24897, "loss": 0.7886, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.130039157817384e-05, "epoch": 2.11, "percentage": 70.21, "elapsed_time": "8 days, 16:21:47", "remaining_time": "3 days, 16:24:40"} +{"current_steps": 17485, "total_steps": 24897, "loss": 0.7655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.121280690631239e-05, "epoch": 2.11, "percentage": 70.23, "elapsed_time": "8 days, 16:25:31", "remaining_time": "3 days, 16:21:10"} +{"current_steps": 17490, "total_steps": 24897, "loss": 0.7012, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.112525931432047e-05, "epoch": 2.11, "percentage": 70.25, "elapsed_time": "8 days, 16:29:15", "remaining_time": "3 days, 16:17:39"} +{"current_steps": 17495, "total_steps": 24897, "loss": 0.8085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.103774884340087e-05, "epoch": 2.11, "percentage": 70.27, "elapsed_time": "8 days, 16:32:58", "remaining_time": "3 days, 16:14:08"} +{"current_steps": 17500, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.095027553473891e-05, "epoch": 2.11, "percentage": 70.29, "elapsed_time": "8 days, 16:36:42", "remaining_time": "3 days, 16:10:37"} +{"current_steps": 17505, "total_steps": 24897, "loss": 0.7207, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.086283942950246e-05, "epoch": 2.11, "percentage": 70.31, "elapsed_time": "8 days, 16:40:27", "remaining_time": "3 days, 16:07:08"} +{"current_steps": 17510, "total_steps": 24897, "loss": 0.8388, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.077544056884182e-05, "epoch": 2.11, "percentage": 70.33, "elapsed_time": "8 days, 16:44:30", "remaining_time": "3 days, 16:03:45"} +{"current_steps": 17515, "total_steps": 24897, "loss": 0.7351, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.068807899388976e-05, "epoch": 2.11, "percentage": 70.35, "elapsed_time": "8 days, 16:50:28", "remaining_time": "3 days, 16:01:11"} +{"current_steps": 17520, "total_steps": 24897, "loss": 0.755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.060075474576165e-05, "epoch": 2.11, "percentage": 70.37, "elapsed_time": "8 days, 16:56:00", "remaining_time": "3 days, 15:58:25"} +{"current_steps": 17525, "total_steps": 24897, "loss": 0.7769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.051346786555513e-05, "epoch": 2.11, "percentage": 70.39, "elapsed_time": "8 days, 17:02:14", "remaining_time": "3 days, 15:55:58"} +{"current_steps": 17530, "total_steps": 24897, "loss": 0.8798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.042621839435029e-05, "epoch": 2.11, "percentage": 70.41, "elapsed_time": "8 days, 17:09:03", "remaining_time": "3 days, 15:53:45"} +{"current_steps": 17535, "total_steps": 24897, "loss": 0.7104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.033900637320958e-05, "epoch": 2.11, "percentage": 70.43, "elapsed_time": "8 days, 17:13:33", "remaining_time": "3 days, 15:50:33"} +{"current_steps": 17540, "total_steps": 24897, "loss": 0.732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.0251831843178e-05, "epoch": 2.11, "percentage": 70.45, "elapsed_time": "8 days, 17:17:27", "remaining_time": "3 days, 15:47:06"} +{"current_steps": 17545, "total_steps": 24897, "loss": 0.8071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.01646948452827e-05, "epoch": 2.11, "percentage": 70.47, "elapsed_time": "8 days, 17:20:19", "remaining_time": "3 days, 15:43:14"} +{"current_steps": 17550, "total_steps": 24897, "loss": 0.767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.007759542053324e-05, "epoch": 2.11, "percentage": 70.49, "elapsed_time": "8 days, 17:23:47", "remaining_time": "3 days, 15:39:36"} +{"current_steps": 17555, "total_steps": 24897, "loss": 0.7958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.999053360992155e-05, "epoch": 2.12, "percentage": 70.51, "elapsed_time": "8 days, 17:27:32", "remaining_time": "3 days, 15:36:05"} +{"current_steps": 17560, "total_steps": 24897, "loss": 0.8426, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.990350945442173e-05, "epoch": 2.12, "percentage": 70.53, "elapsed_time": "8 days, 17:31:16", "remaining_time": "3 days, 15:32:35"} +{"current_steps": 17565, "total_steps": 24897, "loss": 0.7802, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.981652299499032e-05, "epoch": 2.12, "percentage": 70.55, "elapsed_time": "8 days, 17:35:00", "remaining_time": "3 days, 15:29:04"} +{"current_steps": 17570, "total_steps": 24897, "loss": 0.7786, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.972957427256594e-05, "epoch": 2.12, "percentage": 70.57, "elapsed_time": "8 days, 17:38:45", "remaining_time": "3 days, 15:25:33"} +{"current_steps": 17575, "total_steps": 24897, "loss": 0.735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.964266332806966e-05, "epoch": 2.12, "percentage": 70.59, "elapsed_time": "8 days, 17:42:29", "remaining_time": "3 days, 15:22:02"} +{"current_steps": 17580, "total_steps": 24897, "loss": 0.8434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.955579020240459e-05, "epoch": 2.12, "percentage": 70.61, "elapsed_time": "8 days, 17:46:14", "remaining_time": "3 days, 15:18:32"} +{"current_steps": 17585, "total_steps": 24897, "loss": 0.7325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.946895493645613e-05, "epoch": 2.12, "percentage": 70.63, "elapsed_time": "8 days, 17:49:58", "remaining_time": "3 days, 15:15:01"} +{"current_steps": 17590, "total_steps": 24897, "loss": 0.9187, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.938215757109176e-05, "epoch": 2.12, "percentage": 70.65, "elapsed_time": "8 days, 17:53:41", "remaining_time": "3 days, 15:11:30"} +{"current_steps": 17595, "total_steps": 24897, "loss": 0.7242, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.929539814716136e-05, "epoch": 2.12, "percentage": 70.67, "elapsed_time": "8 days, 17:57:25", "remaining_time": "3 days, 15:07:59"} +{"current_steps": 17600, "total_steps": 24897, "loss": 0.8118, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.920867670549668e-05, "epoch": 2.12, "percentage": 70.69, "elapsed_time": "8 days, 18:01:08", "remaining_time": "3 days, 15:04:27"} +{"current_steps": 17605, "total_steps": 24897, "loss": 0.7838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.912199328691175e-05, "epoch": 2.12, "percentage": 70.71, "elapsed_time": "8 days, 18:05:01", "remaining_time": "3 days, 15:01:00"} +{"current_steps": 17610, "total_steps": 24897, "loss": 0.821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.90353479322026e-05, "epoch": 2.12, "percentage": 70.73, "elapsed_time": "8 days, 18:08:45", "remaining_time": "3 days, 14:57:29"} +{"current_steps": 17615, "total_steps": 24897, "loss": 0.8778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.894874068214751e-05, "epoch": 2.12, "percentage": 70.75, "elapsed_time": "8 days, 18:12:29", "remaining_time": "3 days, 14:53:58"} +{"current_steps": 17620, "total_steps": 24897, "loss": 0.91, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.88621715775067e-05, "epoch": 2.12, "percentage": 70.77, "elapsed_time": "8 days, 18:16:13", "remaining_time": "3 days, 14:50:27"} +{"current_steps": 17625, "total_steps": 24897, "loss": 0.8879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.877564065902245e-05, "epoch": 2.12, "percentage": 70.79, "elapsed_time": "8 days, 18:19:57", "remaining_time": "3 days, 14:46:56"} +{"current_steps": 17630, "total_steps": 24897, "loss": 0.7482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.868914796741907e-05, "epoch": 2.12, "percentage": 70.81, "elapsed_time": "8 days, 18:23:41", "remaining_time": "3 days, 14:43:25"} +{"current_steps": 17635, "total_steps": 24897, "loss": 0.7748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.860269354340292e-05, "epoch": 2.12, "percentage": 70.83, "elapsed_time": "8 days, 18:27:25", "remaining_time": "3 days, 14:39:54"} +{"current_steps": 17640, "total_steps": 24897, "loss": 0.8696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.85162774276623e-05, "epoch": 2.13, "percentage": 70.85, "elapsed_time": "8 days, 18:31:09", "remaining_time": "3 days, 14:36:23"} +{"current_steps": 17645, "total_steps": 24897, "loss": 0.7791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.842989966086751e-05, "epoch": 2.13, "percentage": 70.87, "elapsed_time": "8 days, 18:34:52", "remaining_time": "3 days, 14:32:52"} +{"current_steps": 17650, "total_steps": 24897, "loss": 0.7354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.834356028367076e-05, "epoch": 2.13, "percentage": 70.89, "elapsed_time": "8 days, 18:38:36", "remaining_time": "3 days, 14:29:20"} +{"current_steps": 17655, "total_steps": 24897, "loss": 0.9232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.82572593367063e-05, "epoch": 2.13, "percentage": 70.91, "elapsed_time": "8 days, 18:42:20", "remaining_time": "3 days, 14:25:49"} +{"current_steps": 17660, "total_steps": 24897, "loss": 0.8086, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.81709968605902e-05, "epoch": 2.13, "percentage": 70.93, "elapsed_time": "8 days, 18:46:04", "remaining_time": "3 days, 14:22:18"} +{"current_steps": 17665, "total_steps": 24897, "loss": 0.7559, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.808477289592045e-05, "epoch": 2.13, "percentage": 70.95, "elapsed_time": "8 days, 18:49:47", "remaining_time": "3 days, 14:18:47"} +{"current_steps": 17670, "total_steps": 24897, "loss": 0.8003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.799858748327681e-05, "epoch": 2.13, "percentage": 70.97, "elapsed_time": "8 days, 18:53:32", "remaining_time": "3 days, 14:15:16"} +{"current_steps": 17675, "total_steps": 24897, "loss": 0.8522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.791244066322115e-05, "epoch": 2.13, "percentage": 70.99, "elapsed_time": "8 days, 18:57:17", "remaining_time": "3 days, 14:11:45"} +{"current_steps": 17680, "total_steps": 24897, "loss": 0.8069, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.782633247629697e-05, "epoch": 2.13, "percentage": 71.01, "elapsed_time": "8 days, 19:01:02", "remaining_time": "3 days, 14:08:15"} +{"current_steps": 17685, "total_steps": 24897, "loss": 0.7955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.774026296302963e-05, "epoch": 2.13, "percentage": 71.03, "elapsed_time": "8 days, 19:04:47", "remaining_time": "3 days, 14:04:44"} +{"current_steps": 17690, "total_steps": 24897, "loss": 0.751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.765423216392623e-05, "epoch": 2.13, "percentage": 71.05, "elapsed_time": "8 days, 19:08:31", "remaining_time": "3 days, 14:01:13"} +{"current_steps": 17695, "total_steps": 24897, "loss": 0.7626, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.756824011947586e-05, "epoch": 2.13, "percentage": 71.07, "elapsed_time": "8 days, 19:12:14", "remaining_time": "3 days, 13:57:42"} +{"current_steps": 17700, "total_steps": 24897, "loss": 0.6555, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.748228687014915e-05, "epoch": 2.13, "percentage": 71.09, "elapsed_time": "8 days, 19:15:58", "remaining_time": "3 days, 13:54:10"} +{"current_steps": 17705, "total_steps": 24897, "loss": 0.8103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.739637245639858e-05, "epoch": 2.13, "percentage": 71.11, "elapsed_time": "8 days, 19:19:47", "remaining_time": "3 days, 13:50:41"} +{"current_steps": 17710, "total_steps": 24897, "loss": 0.8574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.73104969186583e-05, "epoch": 2.13, "percentage": 71.13, "elapsed_time": "8 days, 19:23:31", "remaining_time": "3 days, 13:47:10"} +{"current_steps": 17715, "total_steps": 24897, "loss": 0.865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.722466029734422e-05, "epoch": 2.13, "percentage": 71.15, "elapsed_time": "8 days, 19:27:15", "remaining_time": "3 days, 13:43:39"} +{"current_steps": 17720, "total_steps": 24897, "loss": 0.7681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.713886263285388e-05, "epoch": 2.14, "percentage": 71.17, "elapsed_time": "8 days, 19:30:59", "remaining_time": "3 days, 13:40:08"} +{"current_steps": 17725, "total_steps": 24897, "loss": 0.7141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.705310396556651e-05, "epoch": 2.14, "percentage": 71.19, "elapsed_time": "8 days, 19:34:43", "remaining_time": "3 days, 13:36:37"} +{"current_steps": 17730, "total_steps": 24897, "loss": 0.7318, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.696738433584295e-05, "epoch": 2.14, "percentage": 71.21, "elapsed_time": "8 days, 19:38:27", "remaining_time": "3 days, 13:33:06"} +{"current_steps": 17735, "total_steps": 24897, "loss": 0.7613, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.688170378402581e-05, "epoch": 2.14, "percentage": 71.23, "elapsed_time": "8 days, 19:42:12", "remaining_time": "3 days, 13:29:35"} +{"current_steps": 17740, "total_steps": 24897, "loss": 0.7928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.679606235043913e-05, "epoch": 2.14, "percentage": 71.25, "elapsed_time": "8 days, 19:45:56", "remaining_time": "3 days, 13:26:04"} +{"current_steps": 17745, "total_steps": 24897, "loss": 0.7451, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.671046007538862e-05, "epoch": 2.14, "percentage": 71.27, "elapsed_time": "8 days, 19:49:41", "remaining_time": "3 days, 13:22:33"} +{"current_steps": 17750, "total_steps": 24897, "loss": 0.8043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.662489699916153e-05, "epoch": 2.14, "percentage": 71.29, "elapsed_time": "8 days, 19:53:26", "remaining_time": "3 days, 13:19:02"} +{"current_steps": 17755, "total_steps": 24897, "loss": 0.8289, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.653937316202675e-05, "epoch": 2.14, "percentage": 71.31, "elapsed_time": "8 days, 19:57:11", "remaining_time": "3 days, 13:15:31"} +{"current_steps": 17760, "total_steps": 24897, "loss": 0.7195, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.64538886042346e-05, "epoch": 2.14, "percentage": 71.33, "elapsed_time": "8 days, 20:00:56", "remaining_time": "3 days, 13:12:00"} +{"current_steps": 17765, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.636844336601695e-05, "epoch": 2.14, "percentage": 71.35, "elapsed_time": "8 days, 20:04:40", "remaining_time": "3 days, 13:08:29"} +{"current_steps": 17770, "total_steps": 24897, "loss": 0.7861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.628303748758719e-05, "epoch": 2.14, "percentage": 71.37, "elapsed_time": "8 days, 20:08:24", "remaining_time": "3 days, 13:04:58"} +{"current_steps": 17775, "total_steps": 24897, "loss": 0.8347, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.619767100914013e-05, "epoch": 2.14, "percentage": 71.39, "elapsed_time": "8 days, 20:12:08", "remaining_time": "3 days, 13:01:26"} +{"current_steps": 17780, "total_steps": 24897, "loss": 0.8999, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.611234397085207e-05, "epoch": 2.14, "percentage": 71.41, "elapsed_time": "8 days, 20:15:52", "remaining_time": "3 days, 12:57:55"} +{"current_steps": 17785, "total_steps": 24897, "loss": 0.6812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.602705641288078e-05, "epoch": 2.14, "percentage": 71.43, "elapsed_time": "8 days, 20:19:37", "remaining_time": "3 days, 12:54:24"} +{"current_steps": 17790, "total_steps": 24897, "loss": 0.7006, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.594180837536533e-05, "epoch": 2.14, "percentage": 71.45, "elapsed_time": "8 days, 20:23:21", "remaining_time": "3 days, 12:50:53"} +{"current_steps": 17795, "total_steps": 24897, "loss": 0.7315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.585659989842641e-05, "epoch": 2.14, "percentage": 71.47, "elapsed_time": "8 days, 20:27:06", "remaining_time": "3 days, 12:47:22"} +{"current_steps": 17800, "total_steps": 24897, "loss": 0.8854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.57714310221659e-05, "epoch": 2.14, "percentage": 71.49, "elapsed_time": "8 days, 20:30:51", "remaining_time": "3 days, 12:43:51"} +{"current_steps": 17805, "total_steps": 24897, "loss": 0.7751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.568630178666706e-05, "epoch": 2.15, "percentage": 71.51, "elapsed_time": "8 days, 20:34:45", "remaining_time": "3 days, 12:40:24"} +{"current_steps": 17810, "total_steps": 24897, "loss": 0.85, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.560121223199455e-05, "epoch": 2.15, "percentage": 71.53, "elapsed_time": "8 days, 20:38:29", "remaining_time": "3 days, 12:36:53"} +{"current_steps": 17815, "total_steps": 24897, "loss": 0.9119, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.551616239819441e-05, "epoch": 2.15, "percentage": 71.55, "elapsed_time": "8 days, 20:42:15", "remaining_time": "3 days, 12:33:22"} +{"current_steps": 17820, "total_steps": 24897, "loss": 0.8386, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.543115232529386e-05, "epoch": 2.15, "percentage": 71.57, "elapsed_time": "8 days, 20:46:00", "remaining_time": "3 days, 12:29:51"} +{"current_steps": 17825, "total_steps": 24897, "loss": 0.8167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.534618205330146e-05, "epoch": 2.15, "percentage": 71.59, "elapsed_time": "8 days, 20:49:45", "remaining_time": "3 days, 12:26:21"} +{"current_steps": 17830, "total_steps": 24897, "loss": 0.8255, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.526125162220702e-05, "epoch": 2.15, "percentage": 71.62, "elapsed_time": "8 days, 20:53:30", "remaining_time": "3 days, 12:22:50"} +{"current_steps": 17835, "total_steps": 24897, "loss": 0.7202, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.51763610719817e-05, "epoch": 2.15, "percentage": 71.64, "elapsed_time": "8 days, 20:57:15", "remaining_time": "3 days, 12:19:19"} +{"current_steps": 17840, "total_steps": 24897, "loss": 0.7927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.509151044257776e-05, "epoch": 2.15, "percentage": 71.66, "elapsed_time": "8 days, 21:00:59", "remaining_time": "3 days, 12:15:48"} +{"current_steps": 17845, "total_steps": 24897, "loss": 0.9295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.500669977392874e-05, "epoch": 2.15, "percentage": 71.68, "elapsed_time": "8 days, 21:04:44", "remaining_time": "3 days, 12:12:16"} +{"current_steps": 17850, "total_steps": 24897, "loss": 0.8324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.492192910594933e-05, "epoch": 2.15, "percentage": 71.7, "elapsed_time": "8 days, 21:08:28", "remaining_time": "3 days, 12:08:45"} +{"current_steps": 17855, "total_steps": 24897, "loss": 0.8261, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.483719847853545e-05, "epoch": 2.15, "percentage": 71.72, "elapsed_time": "8 days, 21:12:12", "remaining_time": "3 days, 12:05:14"} +{"current_steps": 17860, "total_steps": 24897, "loss": 0.7048, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.475250793156412e-05, "epoch": 2.15, "percentage": 71.74, "elapsed_time": "8 days, 21:15:56", "remaining_time": "3 days, 12:01:43"} +{"current_steps": 17865, "total_steps": 24897, "loss": 0.7998, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.466785750489357e-05, "epoch": 2.15, "percentage": 71.76, "elapsed_time": "8 days, 21:19:41", "remaining_time": "3 days, 11:58:11"} +{"current_steps": 17870, "total_steps": 24897, "loss": 0.7498, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.458324723836299e-05, "epoch": 2.15, "percentage": 71.78, "elapsed_time": "8 days, 21:23:25", "remaining_time": "3 days, 11:54:40"} +{"current_steps": 17875, "total_steps": 24897, "loss": 0.844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.449867717179293e-05, "epoch": 2.15, "percentage": 71.8, "elapsed_time": "8 days, 21:27:09", "remaining_time": "3 days, 11:51:09"} +{"current_steps": 17880, "total_steps": 24897, "loss": 0.7544, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.44141473449848e-05, "epoch": 2.15, "percentage": 71.82, "elapsed_time": "8 days, 21:30:53", "remaining_time": "3 days, 11:47:37"} +{"current_steps": 17885, "total_steps": 24897, "loss": 0.8429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.432965779772115e-05, "epoch": 2.15, "percentage": 71.84, "elapsed_time": "8 days, 21:34:38", "remaining_time": "3 days, 11:44:06"} +{"current_steps": 17890, "total_steps": 24897, "loss": 0.7295, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.424520856976551e-05, "epoch": 2.16, "percentage": 71.86, "elapsed_time": "8 days, 21:38:22", "remaining_time": "3 days, 11:40:35"} +{"current_steps": 17895, "total_steps": 24897, "loss": 0.9162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.416079970086259e-05, "epoch": 2.16, "percentage": 71.88, "elapsed_time": "8 days, 21:42:07", "remaining_time": "3 days, 11:37:04"} +{"current_steps": 17900, "total_steps": 24897, "loss": 0.7682, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.407643123073797e-05, "epoch": 2.16, "percentage": 71.9, "elapsed_time": "8 days, 21:45:50", "remaining_time": "3 days, 11:33:32"} +{"current_steps": 17905, "total_steps": 24897, "loss": 0.8028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.399210319909824e-05, "epoch": 2.16, "percentage": 71.92, "elapsed_time": "8 days, 21:49:37", "remaining_time": "3 days, 11:30:02"} +{"current_steps": 17910, "total_steps": 24897, "loss": 0.8431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.390781564563093e-05, "epoch": 2.16, "percentage": 71.94, "elapsed_time": "8 days, 21:53:21", "remaining_time": "3 days, 11:26:31"} +{"current_steps": 17915, "total_steps": 24897, "loss": 0.8244, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.382356861000466e-05, "epoch": 2.16, "percentage": 71.96, "elapsed_time": "8 days, 21:57:05", "remaining_time": "3 days, 11:22:59"} +{"current_steps": 17920, "total_steps": 24897, "loss": 0.8356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.373936213186884e-05, "epoch": 2.16, "percentage": 71.98, "elapsed_time": "8 days, 22:00:49", "remaining_time": "3 days, 11:19:27"} +{"current_steps": 17925, "total_steps": 24897, "loss": 0.9442, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.365519625085388e-05, "epoch": 2.16, "percentage": 72.0, "elapsed_time": "8 days, 22:04:33", "remaining_time": "3 days, 11:15:56"} +{"current_steps": 17930, "total_steps": 24897, "loss": 0.7947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.357107100657088e-05, "epoch": 2.16, "percentage": 72.02, "elapsed_time": "8 days, 22:08:17", "remaining_time": "3 days, 11:12:25"} +{"current_steps": 17935, "total_steps": 24897, "loss": 0.8708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.348698643861213e-05, "epoch": 2.16, "percentage": 72.04, "elapsed_time": "8 days, 22:12:02", "remaining_time": "3 days, 11:08:53"} +{"current_steps": 17940, "total_steps": 24897, "loss": 0.7472, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.340294258655056e-05, "epoch": 2.16, "percentage": 72.06, "elapsed_time": "8 days, 22:15:46", "remaining_time": "3 days, 11:05:22"} +{"current_steps": 17945, "total_steps": 24897, "loss": 0.7562, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.331893948994003e-05, "epoch": 2.16, "percentage": 72.08, "elapsed_time": "8 days, 22:19:31", "remaining_time": "3 days, 11:01:51"} +{"current_steps": 17950, "total_steps": 24897, "loss": 0.8861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.32349771883151e-05, "epoch": 2.16, "percentage": 72.1, "elapsed_time": "8 days, 22:23:15", "remaining_time": "3 days, 10:58:20"} +{"current_steps": 17955, "total_steps": 24897, "loss": 0.8054, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.315105572119134e-05, "epoch": 2.16, "percentage": 72.12, "elapsed_time": "8 days, 22:26:59", "remaining_time": "3 days, 10:54:48"} +{"current_steps": 17960, "total_steps": 24897, "loss": 0.8403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.306717512806492e-05, "epoch": 2.16, "percentage": 72.14, "elapsed_time": "8 days, 22:30:45", "remaining_time": "3 days, 10:51:17"} +{"current_steps": 17965, "total_steps": 24897, "loss": 0.788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.298333544841284e-05, "epoch": 2.16, "percentage": 72.16, "elapsed_time": "8 days, 22:34:30", "remaining_time": "3 days, 10:47:46"} +{"current_steps": 17970, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.289953672169276e-05, "epoch": 2.17, "percentage": 72.18, "elapsed_time": "8 days, 22:38:14", "remaining_time": "3 days, 10:44:14"} +{"current_steps": 17975, "total_steps": 24897, "loss": 0.7737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.281577898734329e-05, "epoch": 2.17, "percentage": 72.2, "elapsed_time": "8 days, 22:41:58", "remaining_time": "3 days, 10:40:43"} +{"current_steps": 17980, "total_steps": 24897, "loss": 0.7334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.273206228478351e-05, "epoch": 2.17, "percentage": 72.22, "elapsed_time": "8 days, 22:45:42", "remaining_time": "3 days, 10:37:12"} +{"current_steps": 17985, "total_steps": 24897, "loss": 0.796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.264838665341331e-05, "epoch": 2.17, "percentage": 72.24, "elapsed_time": "8 days, 22:49:27", "remaining_time": "3 days, 10:33:40"} +{"current_steps": 17990, "total_steps": 24897, "loss": 0.78, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.25647521326132e-05, "epoch": 2.17, "percentage": 72.26, "elapsed_time": "8 days, 22:53:11", "remaining_time": "3 days, 10:30:09"} +{"current_steps": 17995, "total_steps": 24897, "loss": 0.7526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.248115876174438e-05, "epoch": 2.17, "percentage": 72.28, "elapsed_time": "8 days, 22:56:55", "remaining_time": "3 days, 10:26:37"} +{"current_steps": 18000, "total_steps": 24897, "loss": 0.8331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.239760658014865e-05, "epoch": 2.17, "percentage": 72.3, "elapsed_time": "8 days, 23:00:40", "remaining_time": "3 days, 10:23:06"} +{"current_steps": 18005, "total_steps": 24897, "loss": 0.7203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.231409562714845e-05, "epoch": 2.17, "percentage": 72.32, "elapsed_time": "8 days, 23:04:25", "remaining_time": "3 days, 10:19:35"} +{"current_steps": 18010, "total_steps": 24897, "loss": 0.7299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.223062594204676e-05, "epoch": 2.17, "percentage": 72.34, "elapsed_time": "8 days, 23:08:11", "remaining_time": "3 days, 10:16:04"} +{"current_steps": 18015, "total_steps": 24897, "loss": 0.6825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.214719756412729e-05, "epoch": 2.17, "percentage": 72.36, "elapsed_time": "8 days, 23:11:55", "remaining_time": "3 days, 10:12:33"} +{"current_steps": 18020, "total_steps": 24897, "loss": 0.8268, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.206381053265412e-05, "epoch": 2.17, "percentage": 72.38, "elapsed_time": "8 days, 23:15:40", "remaining_time": "3 days, 10:09:01"} +{"current_steps": 18025, "total_steps": 24897, "loss": 0.7943, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.198046488687201e-05, "epoch": 2.17, "percentage": 72.4, "elapsed_time": "8 days, 23:19:24", "remaining_time": "3 days, 10:05:30"} +{"current_steps": 18030, "total_steps": 24897, "loss": 0.7951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.18971606660061e-05, "epoch": 2.17, "percentage": 72.42, "elapsed_time": "8 days, 23:23:08", "remaining_time": "3 days, 10:01:58"} +{"current_steps": 18035, "total_steps": 24897, "loss": 0.7487, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.181389790926224e-05, "epoch": 2.17, "percentage": 72.44, "elapsed_time": "8 days, 23:26:53", "remaining_time": "3 days, 9:58:27"} +{"current_steps": 18040, "total_steps": 24897, "loss": 0.8685, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.173067665582659e-05, "epoch": 2.17, "percentage": 72.46, "elapsed_time": "8 days, 23:30:37", "remaining_time": "3 days, 9:54:55"} +{"current_steps": 18045, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.164749694486579e-05, "epoch": 2.17, "percentage": 72.48, "elapsed_time": "8 days, 23:34:22", "remaining_time": "3 days, 9:51:24"} +{"current_steps": 18050, "total_steps": 24897, "loss": 0.821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.156435881552708e-05, "epoch": 2.17, "percentage": 72.5, "elapsed_time": "8 days, 23:38:06", "remaining_time": "3 days, 9:47:52"} +{"current_steps": 18055, "total_steps": 24897, "loss": 0.9141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.148126230693796e-05, "epoch": 2.18, "percentage": 72.52, "elapsed_time": "8 days, 23:41:50", "remaining_time": "3 days, 9:44:21"} +{"current_steps": 18060, "total_steps": 24897, "loss": 0.7734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.139820745820643e-05, "epoch": 2.18, "percentage": 72.54, "elapsed_time": "8 days, 23:45:35", "remaining_time": "3 days, 9:40:49"} +{"current_steps": 18065, "total_steps": 24897, "loss": 0.7885, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.131519430842083e-05, "epoch": 2.18, "percentage": 72.56, "elapsed_time": "8 days, 23:49:19", "remaining_time": "3 days, 9:37:18"} +{"current_steps": 18070, "total_steps": 24897, "loss": 0.8574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.123222289664993e-05, "epoch": 2.18, "percentage": 72.58, "elapsed_time": "8 days, 23:53:04", "remaining_time": "3 days, 9:33:46"} +{"current_steps": 18075, "total_steps": 24897, "loss": 0.7629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.114929326194281e-05, "epoch": 2.18, "percentage": 72.6, "elapsed_time": "8 days, 23:56:48", "remaining_time": "3 days, 9:30:15"} +{"current_steps": 18080, "total_steps": 24897, "loss": 0.8406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.106640544332894e-05, "epoch": 2.18, "percentage": 72.62, "elapsed_time": "9 days, 0:00:33", "remaining_time": "3 days, 9:26:43"} +{"current_steps": 18085, "total_steps": 24897, "loss": 0.7944, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.0983559479817986e-05, "epoch": 2.18, "percentage": 72.64, "elapsed_time": "9 days, 0:04:17", "remaining_time": "3 days, 9:23:12"} +{"current_steps": 18090, "total_steps": 24897, "loss": 0.761, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.090075541040015e-05, "epoch": 2.18, "percentage": 72.66, "elapsed_time": "9 days, 0:08:02", "remaining_time": "3 days, 9:19:40"} +{"current_steps": 18095, "total_steps": 24897, "loss": 0.7879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.08179932740457e-05, "epoch": 2.18, "percentage": 72.68, "elapsed_time": "9 days, 0:11:46", "remaining_time": "3 days, 9:16:09"} +{"current_steps": 18100, "total_steps": 24897, "loss": 0.7526, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.073527310970527e-05, "epoch": 2.18, "percentage": 72.7, "elapsed_time": "9 days, 0:15:31", "remaining_time": "3 days, 9:12:37"} +{"current_steps": 18105, "total_steps": 24897, "loss": 0.7588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.065259495630966e-05, "epoch": 2.18, "percentage": 72.72, "elapsed_time": "9 days, 0:19:17", "remaining_time": "3 days, 9:09:06"} +{"current_steps": 18110, "total_steps": 24897, "loss": 0.8613, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.0569958852770026e-05, "epoch": 2.18, "percentage": 72.74, "elapsed_time": "9 days, 0:23:01", "remaining_time": "3 days, 9:05:35"} +{"current_steps": 18115, "total_steps": 24897, "loss": 0.7988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.048736483797765e-05, "epoch": 2.18, "percentage": 72.76, "elapsed_time": "9 days, 0:26:46", "remaining_time": "3 days, 9:02:04"} +{"current_steps": 18120, "total_steps": 24897, "loss": 0.7577, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.040481295080402e-05, "epoch": 2.18, "percentage": 72.78, "elapsed_time": "9 days, 0:30:31", "remaining_time": "3 days, 8:58:32"} +{"current_steps": 18125, "total_steps": 24897, "loss": 0.7339, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.0322303230100706e-05, "epoch": 2.18, "percentage": 72.8, "elapsed_time": "9 days, 0:34:15", "remaining_time": "3 days, 8:55:00"} +{"current_steps": 18130, "total_steps": 24897, "loss": 0.7929, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.0239835714699656e-05, "epoch": 2.18, "percentage": 72.82, "elapsed_time": "9 days, 0:37:58", "remaining_time": "3 days, 8:51:28"} +{"current_steps": 18135, "total_steps": 24897, "loss": 0.8469, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.015741044341282e-05, "epoch": 2.19, "percentage": 72.84, "elapsed_time": "9 days, 0:41:43", "remaining_time": "3 days, 8:47:57"} +{"current_steps": 18140, "total_steps": 24897, "loss": 0.806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.0075027455032154e-05, "epoch": 2.19, "percentage": 72.86, "elapsed_time": "9 days, 0:45:28", "remaining_time": "3 days, 8:44:25"} +{"current_steps": 18145, "total_steps": 24897, "loss": 0.8322, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.999268678832982e-05, "epoch": 2.19, "percentage": 72.88, "elapsed_time": "9 days, 0:49:12", "remaining_time": "3 days, 8:40:53"} +{"current_steps": 18150, "total_steps": 24897, "loss": 0.8823, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9910388482058196e-05, "epoch": 2.19, "percentage": 72.9, "elapsed_time": "9 days, 0:52:56", "remaining_time": "3 days, 8:37:22"} +{"current_steps": 18155, "total_steps": 24897, "loss": 0.7445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.982813257494954e-05, "epoch": 2.19, "percentage": 72.92, "elapsed_time": "9 days, 0:56:41", "remaining_time": "3 days, 8:33:50"} +{"current_steps": 18160, "total_steps": 24897, "loss": 0.7756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9745919105716195e-05, "epoch": 2.19, "percentage": 72.94, "elapsed_time": "9 days, 1:00:25", "remaining_time": "3 days, 8:30:19"} +{"current_steps": 18165, "total_steps": 24897, "loss": 0.8127, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.966374811305051e-05, "epoch": 2.19, "percentage": 72.96, "elapsed_time": "9 days, 1:04:09", "remaining_time": "3 days, 8:26:47"} +{"current_steps": 18170, "total_steps": 24897, "loss": 0.815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9581619635625014e-05, "epoch": 2.19, "percentage": 72.98, "elapsed_time": "9 days, 1:07:53", "remaining_time": "3 days, 8:23:15"} +{"current_steps": 18175, "total_steps": 24897, "loss": 0.8005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9499533712092e-05, "epoch": 2.19, "percentage": 73.0, "elapsed_time": "9 days, 1:11:37", "remaining_time": "3 days, 8:19:43"} +{"current_steps": 18180, "total_steps": 24897, "loss": 0.8278, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.941749038108385e-05, "epoch": 2.19, "percentage": 73.02, "elapsed_time": "9 days, 1:15:22", "remaining_time": "3 days, 8:16:12"} +{"current_steps": 18185, "total_steps": 24897, "loss": 0.8549, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9335489681212835e-05, "epoch": 2.19, "percentage": 73.04, "elapsed_time": "9 days, 1:19:08", "remaining_time": "3 days, 8:12:41"} +{"current_steps": 18190, "total_steps": 24897, "loss": 0.6661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.92535316510713e-05, "epoch": 2.19, "percentage": 73.06, "elapsed_time": "9 days, 1:22:53", "remaining_time": "3 days, 8:09:09"} +{"current_steps": 18195, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9171616329231364e-05, "epoch": 2.19, "percentage": 73.08, "elapsed_time": "9 days, 1:26:38", "remaining_time": "3 days, 8:05:38"} +{"current_steps": 18200, "total_steps": 24897, "loss": 0.787, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.90897437542451e-05, "epoch": 2.19, "percentage": 73.1, "elapsed_time": "9 days, 1:30:24", "remaining_time": "3 days, 8:02:07"} +{"current_steps": 18205, "total_steps": 24897, "loss": 0.7354, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.900791396464445e-05, "epoch": 2.19, "percentage": 73.12, "elapsed_time": "9 days, 1:34:12", "remaining_time": "3 days, 7:58:36"} +{"current_steps": 18210, "total_steps": 24897, "loss": 0.789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.892612699894127e-05, "epoch": 2.19, "percentage": 73.14, "elapsed_time": "9 days, 1:37:57", "remaining_time": "3 days, 7:55:05"} +{"current_steps": 18215, "total_steps": 24897, "loss": 0.8713, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.884438289562717e-05, "epoch": 2.19, "percentage": 73.16, "elapsed_time": "9 days, 1:41:43", "remaining_time": "3 days, 7:51:34"} +{"current_steps": 18220, "total_steps": 24897, "loss": 0.841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.8762681693173675e-05, "epoch": 2.2, "percentage": 73.18, "elapsed_time": "9 days, 1:45:28", "remaining_time": "3 days, 7:48:02"} +{"current_steps": 18225, "total_steps": 24897, "loss": 0.7945, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.868102343003201e-05, "epoch": 2.2, "percentage": 73.2, "elapsed_time": "9 days, 1:49:14", "remaining_time": "3 days, 7:44:31"} +{"current_steps": 18230, "total_steps": 24897, "loss": 0.7069, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.8599408144633405e-05, "epoch": 2.2, "percentage": 73.22, "elapsed_time": "9 days, 1:52:59", "remaining_time": "3 days, 7:41:00"} +{"current_steps": 18235, "total_steps": 24897, "loss": 0.8092, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.851783587538863e-05, "epoch": 2.2, "percentage": 73.24, "elapsed_time": "9 days, 1:56:45", "remaining_time": "3 days, 7:37:28"} +{"current_steps": 18240, "total_steps": 24897, "loss": 0.8087, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.843630666068832e-05, "epoch": 2.2, "percentage": 73.26, "elapsed_time": "9 days, 2:00:30", "remaining_time": "3 days, 7:33:57"} +{"current_steps": 18245, "total_steps": 24897, "loss": 0.8481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.835482053890278e-05, "epoch": 2.2, "percentage": 73.28, "elapsed_time": "9 days, 2:04:15", "remaining_time": "3 days, 7:30:25"} +{"current_steps": 18250, "total_steps": 24897, "loss": 0.7905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.827337754838218e-05, "epoch": 2.2, "percentage": 73.3, "elapsed_time": "9 days, 2:08:01", "remaining_time": "3 days, 7:26:54"} +{"current_steps": 18255, "total_steps": 24897, "loss": 0.7629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.819197772745627e-05, "epoch": 2.2, "percentage": 73.32, "elapsed_time": "9 days, 2:11:46", "remaining_time": "3 days, 7:23:23"} +{"current_steps": 18260, "total_steps": 24897, "loss": 0.826, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.811062111443447e-05, "epoch": 2.2, "percentage": 73.34, "elapsed_time": "9 days, 2:15:30", "remaining_time": "3 days, 7:19:51"} +{"current_steps": 18265, "total_steps": 24897, "loss": 0.7721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.8029307747605905e-05, "epoch": 2.2, "percentage": 73.36, "elapsed_time": "9 days, 2:19:14", "remaining_time": "3 days, 7:16:19"} +{"current_steps": 18270, "total_steps": 24897, "loss": 0.7803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.794803766523939e-05, "epoch": 2.2, "percentage": 73.38, "elapsed_time": "9 days, 2:22:59", "remaining_time": "3 days, 7:12:47"} +{"current_steps": 18275, "total_steps": 24897, "loss": 0.8023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.786681090558332e-05, "epoch": 2.2, "percentage": 73.4, "elapsed_time": "9 days, 2:26:44", "remaining_time": "3 days, 7:09:15"} +{"current_steps": 18280, "total_steps": 24897, "loss": 0.7844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.778562750686568e-05, "epoch": 2.2, "percentage": 73.42, "elapsed_time": "9 days, 2:30:29", "remaining_time": "3 days, 7:05:44"} +{"current_steps": 18285, "total_steps": 24897, "loss": 0.8071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.770448750729408e-05, "epoch": 2.2, "percentage": 73.44, "elapsed_time": "9 days, 2:34:14", "remaining_time": "3 days, 7:02:12"} +{"current_steps": 18290, "total_steps": 24897, "loss": 0.7641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.762339094505569e-05, "epoch": 2.2, "percentage": 73.46, "elapsed_time": "9 days, 2:38:00", "remaining_time": "3 days, 6:58:41"} +{"current_steps": 18295, "total_steps": 24897, "loss": 0.8674, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.7542337858317257e-05, "epoch": 2.2, "percentage": 73.48, "elapsed_time": "9 days, 2:41:46", "remaining_time": "3 days, 6:55:10"} +{"current_steps": 18300, "total_steps": 24897, "loss": 0.7799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.746132828522506e-05, "epoch": 2.2, "percentage": 73.5, "elapsed_time": "9 days, 2:45:31", "remaining_time": "3 days, 6:51:38"} +{"current_steps": 18305, "total_steps": 24897, "loss": 0.7872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.738036226390483e-05, "epoch": 2.21, "percentage": 73.52, "elapsed_time": "9 days, 2:49:19", "remaining_time": "3 days, 6:48:07"} +{"current_steps": 18310, "total_steps": 24897, "loss": 0.8462, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.729943983246198e-05, "epoch": 2.21, "percentage": 73.54, "elapsed_time": "9 days, 2:53:04", "remaining_time": "3 days, 6:44:36"} +{"current_steps": 18315, "total_steps": 24897, "loss": 0.8747, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.721856102898121e-05, "epoch": 2.21, "percentage": 73.56, "elapsed_time": "9 days, 2:56:49", "remaining_time": "3 days, 6:41:04"} +{"current_steps": 18320, "total_steps": 24897, "loss": 0.8068, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.713772589152682e-05, "epoch": 2.21, "percentage": 73.58, "elapsed_time": "9 days, 3:00:34", "remaining_time": "3 days, 6:37:33"} +{"current_steps": 18325, "total_steps": 24897, "loss": 0.7185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.705693445814243e-05, "epoch": 2.21, "percentage": 73.6, "elapsed_time": "9 days, 3:04:20", "remaining_time": "3 days, 6:34:01"} +{"current_steps": 18330, "total_steps": 24897, "loss": 0.8076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.697618676685127e-05, "epoch": 2.21, "percentage": 73.62, "elapsed_time": "9 days, 3:08:05", "remaining_time": "3 days, 6:30:30"} +{"current_steps": 18335, "total_steps": 24897, "loss": 0.803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.689548285565585e-05, "epoch": 2.21, "percentage": 73.64, "elapsed_time": "9 days, 3:11:50", "remaining_time": "3 days, 6:26:58"} +{"current_steps": 18340, "total_steps": 24897, "loss": 0.836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.681482276253811e-05, "epoch": 2.21, "percentage": 73.66, "elapsed_time": "9 days, 3:15:35", "remaining_time": "3 days, 6:23:26"} +{"current_steps": 18345, "total_steps": 24897, "loss": 0.7962, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6734206525459355e-05, "epoch": 2.21, "percentage": 73.68, "elapsed_time": "9 days, 3:19:20", "remaining_time": "3 days, 6:19:55"} +{"current_steps": 18350, "total_steps": 24897, "loss": 0.8133, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6653634182360267e-05, "epoch": 2.21, "percentage": 73.7, "elapsed_time": "9 days, 3:23:05", "remaining_time": "3 days, 6:16:23"} +{"current_steps": 18355, "total_steps": 24897, "loss": 0.7833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6573105771160875e-05, "epoch": 2.21, "percentage": 73.72, "elapsed_time": "9 days, 3:26:50", "remaining_time": "3 days, 6:12:51"} +{"current_steps": 18360, "total_steps": 24897, "loss": 0.8103, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6492621329760524e-05, "epoch": 2.21, "percentage": 73.74, "elapsed_time": "9 days, 3:30:35", "remaining_time": "3 days, 6:09:19"} +{"current_steps": 18365, "total_steps": 24897, "loss": 0.7744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.641218089603779e-05, "epoch": 2.21, "percentage": 73.76, "elapsed_time": "9 days, 3:34:19", "remaining_time": "3 days, 6:05:47"} +{"current_steps": 18370, "total_steps": 24897, "loss": 0.8986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6331784507850744e-05, "epoch": 2.21, "percentage": 73.78, "elapsed_time": "9 days, 3:38:05", "remaining_time": "3 days, 6:02:16"} +{"current_steps": 18375, "total_steps": 24897, "loss": 0.791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6251432203036544e-05, "epoch": 2.21, "percentage": 73.8, "elapsed_time": "9 days, 3:41:51", "remaining_time": "3 days, 5:58:45"} +{"current_steps": 18380, "total_steps": 24897, "loss": 0.7265, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.617112401941163e-05, "epoch": 2.21, "percentage": 73.82, "elapsed_time": "9 days, 3:45:36", "remaining_time": "3 days, 5:55:13"} +{"current_steps": 18385, "total_steps": 24897, "loss": 0.8349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.609085999477166e-05, "epoch": 2.22, "percentage": 73.84, "elapsed_time": "9 days, 3:49:21", "remaining_time": "3 days, 5:51:41"} +{"current_steps": 18390, "total_steps": 24897, "loss": 0.7947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.601064016689165e-05, "epoch": 2.22, "percentage": 73.86, "elapsed_time": "9 days, 3:53:05", "remaining_time": "3 days, 5:48:09"} +{"current_steps": 18395, "total_steps": 24897, "loss": 0.8011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.593046457352568e-05, "epoch": 2.22, "percentage": 73.88, "elapsed_time": "9 days, 3:56:50", "remaining_time": "3 days, 5:44:37"} +{"current_steps": 18400, "total_steps": 24897, "loss": 0.7135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.585033325240704e-05, "epoch": 2.22, "percentage": 73.9, "elapsed_time": "9 days, 4:00:36", "remaining_time": "3 days, 5:41:06"} +{"current_steps": 18405, "total_steps": 24897, "loss": 0.8516, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5770246241248125e-05, "epoch": 2.22, "percentage": 73.92, "elapsed_time": "9 days, 4:04:25", "remaining_time": "3 days, 5:37:36"} +{"current_steps": 18410, "total_steps": 24897, "loss": 0.7431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5690203577740654e-05, "epoch": 2.22, "percentage": 73.94, "elapsed_time": "9 days, 4:08:10", "remaining_time": "3 days, 5:34:04"} +{"current_steps": 18415, "total_steps": 24897, "loss": 0.7382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.561020529955531e-05, "epoch": 2.22, "percentage": 73.96, "elapsed_time": "9 days, 4:11:56", "remaining_time": "3 days, 5:30:32"} +{"current_steps": 18420, "total_steps": 24897, "loss": 0.8299, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5530251444341936e-05, "epoch": 2.22, "percentage": 73.98, "elapsed_time": "9 days, 4:15:42", "remaining_time": "3 days, 5:27:01"} +{"current_steps": 18425, "total_steps": 24897, "loss": 0.7141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5450342049729475e-05, "epoch": 2.22, "percentage": 74.0, "elapsed_time": "9 days, 4:19:26", "remaining_time": "3 days, 5:23:29"} +{"current_steps": 18430, "total_steps": 24897, "loss": 0.7229, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5370477153325945e-05, "epoch": 2.22, "percentage": 74.02, "elapsed_time": "9 days, 4:23:09", "remaining_time": "3 days, 5:19:56"} +{"current_steps": 18435, "total_steps": 24897, "loss": 0.8089, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.529065679271841e-05, "epoch": 2.22, "percentage": 74.05, "elapsed_time": "9 days, 4:26:54", "remaining_time": "3 days, 5:16:24"} +{"current_steps": 18440, "total_steps": 24897, "loss": 0.8195, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5210881005473e-05, "epoch": 2.22, "percentage": 74.07, "elapsed_time": "9 days, 4:30:39", "remaining_time": "3 days, 5:12:52"} +{"current_steps": 18445, "total_steps": 24897, "loss": 0.8099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.513114982913479e-05, "epoch": 2.22, "percentage": 74.09, "elapsed_time": "9 days, 4:34:23", "remaining_time": "3 days, 5:09:20"} +{"current_steps": 18450, "total_steps": 24897, "loss": 0.675, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.5051463301228e-05, "epoch": 2.22, "percentage": 74.11, "elapsed_time": "9 days, 4:38:08", "remaining_time": "3 days, 5:05:48"} +{"current_steps": 18455, "total_steps": 24897, "loss": 0.7853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.497182145925575e-05, "epoch": 2.22, "percentage": 74.13, "elapsed_time": "9 days, 4:41:53", "remaining_time": "3 days, 5:02:17"} +{"current_steps": 18460, "total_steps": 24897, "loss": 0.8176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.489222434070009e-05, "epoch": 2.22, "percentage": 74.15, "elapsed_time": "9 days, 4:45:38", "remaining_time": "3 days, 4:58:45"} +{"current_steps": 18465, "total_steps": 24897, "loss": 0.7884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.4812671983022046e-05, "epoch": 2.22, "percentage": 74.17, "elapsed_time": "9 days, 4:49:24", "remaining_time": "3 days, 4:55:13"} +{"current_steps": 18470, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.473316442366167e-05, "epoch": 2.23, "percentage": 74.19, "elapsed_time": "9 days, 4:53:08", "remaining_time": "3 days, 4:51:41"} +{"current_steps": 18475, "total_steps": 24897, "loss": 0.8171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.465370170003785e-05, "epoch": 2.23, "percentage": 74.21, "elapsed_time": "9 days, 4:56:52", "remaining_time": "3 days, 4:48:09"} +{"current_steps": 18480, "total_steps": 24897, "loss": 0.8101, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.4574283849548354e-05, "epoch": 2.23, "percentage": 74.23, "elapsed_time": "9 days, 5:00:39", "remaining_time": "3 days, 4:44:37"} +{"current_steps": 18485, "total_steps": 24897, "loss": 0.7616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.449491090956982e-05, "epoch": 2.23, "percentage": 74.25, "elapsed_time": "9 days, 5:04:25", "remaining_time": "3 days, 4:41:06"} +{"current_steps": 18490, "total_steps": 24897, "loss": 0.8873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.44155829174579e-05, "epoch": 2.23, "percentage": 74.27, "elapsed_time": "9 days, 5:08:11", "remaining_time": "3 days, 4:37:34"} +{"current_steps": 18495, "total_steps": 24897, "loss": 0.8159, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.433629991054691e-05, "epoch": 2.23, "percentage": 74.29, "elapsed_time": "9 days, 5:11:56", "remaining_time": "3 days, 4:34:02"} +{"current_steps": 18500, "total_steps": 24897, "loss": 0.8165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.425706192615007e-05, "epoch": 2.23, "percentage": 74.31, "elapsed_time": "9 days, 5:15:41", "remaining_time": "3 days, 4:30:31"} +{"current_steps": 18505, "total_steps": 24897, "loss": 0.7355, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.417786900155942e-05, "epoch": 2.23, "percentage": 74.33, "elapsed_time": "9 days, 5:19:28", "remaining_time": "3 days, 4:26:59"} +{"current_steps": 18510, "total_steps": 24897, "loss": 0.8358, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.409872117404577e-05, "epoch": 2.23, "percentage": 74.35, "elapsed_time": "9 days, 5:23:13", "remaining_time": "3 days, 4:23:27"} +{"current_steps": 18515, "total_steps": 24897, "loss": 0.7225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.401961848085871e-05, "epoch": 2.23, "percentage": 74.37, "elapsed_time": "9 days, 5:26:58", "remaining_time": "3 days, 4:19:56"} +{"current_steps": 18520, "total_steps": 24897, "loss": 0.74, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.394056095922662e-05, "epoch": 2.23, "percentage": 74.39, "elapsed_time": "9 days, 5:30:43", "remaining_time": "3 days, 4:16:24"} +{"current_steps": 18525, "total_steps": 24897, "loss": 0.7645, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.3861548646356514e-05, "epoch": 2.23, "percentage": 74.41, "elapsed_time": "9 days, 5:34:28", "remaining_time": "3 days, 4:12:52"} +{"current_steps": 18530, "total_steps": 24897, "loss": 0.7309, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.3782581579434325e-05, "epoch": 2.23, "percentage": 74.43, "elapsed_time": "9 days, 5:38:13", "remaining_time": "3 days, 4:09:20"} +{"current_steps": 18535, "total_steps": 24897, "loss": 0.8238, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.370365979562453e-05, "epoch": 2.23, "percentage": 74.45, "elapsed_time": "9 days, 5:41:58", "remaining_time": "3 days, 4:05:48"} +{"current_steps": 18540, "total_steps": 24897, "loss": 0.84, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.362478333207034e-05, "epoch": 2.23, "percentage": 74.47, "elapsed_time": "9 days, 5:45:43", "remaining_time": "3 days, 4:02:16"} +{"current_steps": 18545, "total_steps": 24897, "loss": 0.7884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.354595222589358e-05, "epoch": 2.23, "percentage": 74.49, "elapsed_time": "9 days, 5:49:29", "remaining_time": "3 days, 3:58:44"} +{"current_steps": 18550, "total_steps": 24897, "loss": 0.7565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.34671665141949e-05, "epoch": 2.24, "percentage": 74.51, "elapsed_time": "9 days, 5:53:14", "remaining_time": "3 days, 3:55:12"} +{"current_steps": 18555, "total_steps": 24897, "loss": 0.7612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.3388426234053414e-05, "epoch": 2.24, "percentage": 74.53, "elapsed_time": "9 days, 5:56:58", "remaining_time": "3 days, 3:51:40"} +{"current_steps": 18560, "total_steps": 24897, "loss": 0.7192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.330973142252691e-05, "epoch": 2.24, "percentage": 74.55, "elapsed_time": "9 days, 6:00:44", "remaining_time": "3 days, 3:48:08"} +{"current_steps": 18565, "total_steps": 24897, "loss": 0.8082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.323108211665178e-05, "epoch": 2.24, "percentage": 74.57, "elapsed_time": "9 days, 6:04:31", "remaining_time": "3 days, 3:44:37"} +{"current_steps": 18570, "total_steps": 24897, "loss": 0.6957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.3152478353443006e-05, "epoch": 2.24, "percentage": 74.59, "elapsed_time": "9 days, 6:08:17", "remaining_time": "3 days, 3:41:05"} +{"current_steps": 18575, "total_steps": 24897, "loss": 0.8078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.307392016989413e-05, "epoch": 2.24, "percentage": 74.61, "elapsed_time": "9 days, 6:12:02", "remaining_time": "3 days, 3:37:33"} +{"current_steps": 18580, "total_steps": 24897, "loss": 0.8209, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.299540760297717e-05, "epoch": 2.24, "percentage": 74.63, "elapsed_time": "9 days, 6:15:46", "remaining_time": "3 days, 3:34:01"} +{"current_steps": 18585, "total_steps": 24897, "loss": 0.8348, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2916940689642887e-05, "epoch": 2.24, "percentage": 74.65, "elapsed_time": "9 days, 6:19:33", "remaining_time": "3 days, 3:30:29"} +{"current_steps": 18590, "total_steps": 24897, "loss": 0.771, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.283851946682033e-05, "epoch": 2.24, "percentage": 74.67, "elapsed_time": "9 days, 6:23:18", "remaining_time": "3 days, 3:26:57"} +{"current_steps": 18595, "total_steps": 24897, "loss": 0.7364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2760143971417155e-05, "epoch": 2.24, "percentage": 74.69, "elapsed_time": "9 days, 6:27:02", "remaining_time": "3 days, 3:23:25"} +{"current_steps": 18600, "total_steps": 24897, "loss": 0.7833, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2681814240319415e-05, "epoch": 2.24, "percentage": 74.71, "elapsed_time": "9 days, 6:30:47", "remaining_time": "3 days, 3:19:53"} +{"current_steps": 18605, "total_steps": 24897, "loss": 0.8248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.260353031039177e-05, "epoch": 2.24, "percentage": 74.73, "elapsed_time": "9 days, 6:34:35", "remaining_time": "3 days, 3:16:22"} +{"current_steps": 18610, "total_steps": 24897, "loss": 0.7083, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.252529221847719e-05, "epoch": 2.24, "percentage": 74.75, "elapsed_time": "9 days, 6:38:20", "remaining_time": "3 days, 3:12:50"} +{"current_steps": 18615, "total_steps": 24897, "loss": 0.8521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.244710000139714e-05, "epoch": 2.24, "percentage": 74.77, "elapsed_time": "9 days, 6:42:05", "remaining_time": "3 days, 3:09:18"} +{"current_steps": 18620, "total_steps": 24897, "loss": 0.8219, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2368953695951405e-05, "epoch": 2.24, "percentage": 74.79, "elapsed_time": "9 days, 6:45:51", "remaining_time": "3 days, 3:05:46"} +{"current_steps": 18625, "total_steps": 24897, "loss": 0.73, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.229085333891834e-05, "epoch": 2.24, "percentage": 74.81, "elapsed_time": "9 days, 6:49:35", "remaining_time": "3 days, 3:02:13"} +{"current_steps": 18630, "total_steps": 24897, "loss": 0.7845, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.221279896705452e-05, "epoch": 2.24, "percentage": 74.83, "elapsed_time": "9 days, 6:53:20", "remaining_time": "3 days, 2:58:41"} +{"current_steps": 18635, "total_steps": 24897, "loss": 0.8545, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.213479061709492e-05, "epoch": 2.25, "percentage": 74.85, "elapsed_time": "9 days, 6:57:05", "remaining_time": "3 days, 2:55:09"} +{"current_steps": 18640, "total_steps": 24897, "loss": 0.8346, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.2056828325752855e-05, "epoch": 2.25, "percentage": 74.87, "elapsed_time": "9 days, 7:00:51", "remaining_time": "3 days, 2:51:37"} +{"current_steps": 18645, "total_steps": 24897, "loss": 0.7781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1978912129719956e-05, "epoch": 2.25, "percentage": 74.89, "elapsed_time": "9 days, 7:04:36", "remaining_time": "3 days, 2:48:05"} +{"current_steps": 18650, "total_steps": 24897, "loss": 0.8077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1901042065666214e-05, "epoch": 2.25, "percentage": 74.91, "elapsed_time": "9 days, 7:08:20", "remaining_time": "3 days, 2:44:33"} +{"current_steps": 18655, "total_steps": 24897, "loss": 0.8014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.182321817023983e-05, "epoch": 2.25, "percentage": 74.93, "elapsed_time": "9 days, 7:12:06", "remaining_time": "3 days, 2:41:01"} +{"current_steps": 18660, "total_steps": 24897, "loss": 0.8311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.174544048006726e-05, "epoch": 2.25, "percentage": 74.95, "elapsed_time": "9 days, 7:15:51", "remaining_time": "3 days, 2:37:29"} +{"current_steps": 18665, "total_steps": 24897, "loss": 0.7116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1667709031753406e-05, "epoch": 2.25, "percentage": 74.97, "elapsed_time": "9 days, 7:19:36", "remaining_time": "3 days, 2:33:57"} +{"current_steps": 18670, "total_steps": 24897, "loss": 0.9608, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.159002386188118e-05, "epoch": 2.25, "percentage": 74.99, "elapsed_time": "9 days, 7:23:21", "remaining_time": "3 days, 2:30:25"} +{"current_steps": 18675, "total_steps": 24897, "loss": 0.7806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.151238500701184e-05, "epoch": 2.25, "percentage": 75.01, "elapsed_time": "9 days, 7:27:06", "remaining_time": "3 days, 2:26:52"} +{"current_steps": 18680, "total_steps": 24897, "loss": 0.7674, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1434792503684716e-05, "epoch": 2.25, "percentage": 75.03, "elapsed_time": "9 days, 7:30:51", "remaining_time": "3 days, 2:23:20"} +{"current_steps": 18685, "total_steps": 24897, "loss": 0.7849, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.135724638841755e-05, "epoch": 2.25, "percentage": 75.05, "elapsed_time": "9 days, 7:34:36", "remaining_time": "3 days, 2:19:48"} +{"current_steps": 18690, "total_steps": 24897, "loss": 0.7973, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1279746697706055e-05, "epoch": 2.25, "percentage": 75.07, "elapsed_time": "9 days, 7:38:21", "remaining_time": "3 days, 2:16:16"} +{"current_steps": 18695, "total_steps": 24897, "loss": 0.808, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.120229346802416e-05, "epoch": 2.25, "percentage": 75.09, "elapsed_time": "9 days, 7:42:07", "remaining_time": "3 days, 2:12:44"} +{"current_steps": 18700, "total_steps": 24897, "loss": 0.7582, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.112488673582389e-05, "epoch": 2.25, "percentage": 75.11, "elapsed_time": "9 days, 7:45:51", "remaining_time": "3 days, 2:09:12"} +{"current_steps": 18705, "total_steps": 24897, "loss": 0.779, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.1047526537535504e-05, "epoch": 2.25, "percentage": 75.13, "elapsed_time": "9 days, 7:49:40", "remaining_time": "3 days, 2:05:41"} +{"current_steps": 18710, "total_steps": 24897, "loss": 0.8705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.0970212909567236e-05, "epoch": 2.25, "percentage": 75.15, "elapsed_time": "9 days, 7:53:25", "remaining_time": "3 days, 2:02:09"} +{"current_steps": 18715, "total_steps": 24897, "loss": 0.7458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.0892945888305446e-05, "epoch": 2.25, "percentage": 75.17, "elapsed_time": "9 days, 7:57:10", "remaining_time": "3 days, 1:58:36"} +{"current_steps": 18720, "total_steps": 24897, "loss": 0.8115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.081572551011458e-05, "epoch": 2.26, "percentage": 75.19, "elapsed_time": "9 days, 8:00:56", "remaining_time": "3 days, 1:55:04"} +{"current_steps": 18725, "total_steps": 24897, "loss": 0.7623, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.07385518113371e-05, "epoch": 2.26, "percentage": 75.21, "elapsed_time": "9 days, 8:04:41", "remaining_time": "3 days, 1:51:32"} +{"current_steps": 18730, "total_steps": 24897, "loss": 0.8839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.06614248282935e-05, "epoch": 2.26, "percentage": 75.23, "elapsed_time": "9 days, 8:08:26", "remaining_time": "3 days, 1:48:00"} +{"current_steps": 18735, "total_steps": 24897, "loss": 0.7858, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.058434459728229e-05, "epoch": 2.26, "percentage": 75.25, "elapsed_time": "9 days, 8:12:11", "remaining_time": "3 days, 1:44:28"} +{"current_steps": 18740, "total_steps": 24897, "loss": 0.8331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.0507311154579976e-05, "epoch": 2.26, "percentage": 75.27, "elapsed_time": "9 days, 8:15:56", "remaining_time": "3 days, 1:40:55"} +{"current_steps": 18745, "total_steps": 24897, "loss": 0.7831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.043032453644113e-05, "epoch": 2.26, "percentage": 75.29, "elapsed_time": "9 days, 8:19:41", "remaining_time": "3 days, 1:37:23"} +{"current_steps": 18750, "total_steps": 24897, "loss": 0.8846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.035338477909817e-05, "epoch": 2.26, "percentage": 75.31, "elapsed_time": "9 days, 8:23:26", "remaining_time": "3 days, 1:33:51"} +{"current_steps": 18755, "total_steps": 24897, "loss": 0.7482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.027649191876147e-05, "epoch": 2.26, "percentage": 75.33, "elapsed_time": "9 days, 8:27:11", "remaining_time": "3 days, 1:30:19"} +{"current_steps": 18760, "total_steps": 24897, "loss": 0.7949, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.019964599161935e-05, "epoch": 2.26, "percentage": 75.35, "elapsed_time": "9 days, 8:30:56", "remaining_time": "3 days, 1:26:46"} +{"current_steps": 18765, "total_steps": 24897, "loss": 0.7751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.0122847033838156e-05, "epoch": 2.26, "percentage": 75.37, "elapsed_time": "9 days, 8:34:41", "remaining_time": "3 days, 1:23:14"} +{"current_steps": 18770, "total_steps": 24897, "loss": 0.8719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.004609508156196e-05, "epoch": 2.26, "percentage": 75.39, "elapsed_time": "9 days, 8:38:26", "remaining_time": "3 days, 1:19:42"} +{"current_steps": 18775, "total_steps": 24897, "loss": 0.7445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.996939017091278e-05, "epoch": 2.26, "percentage": 75.41, "elapsed_time": "9 days, 8:42:11", "remaining_time": "3 days, 1:16:09"} +{"current_steps": 18780, "total_steps": 24897, "loss": 0.7717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.989273233799051e-05, "epoch": 2.26, "percentage": 75.43, "elapsed_time": "9 days, 8:45:57", "remaining_time": "3 days, 1:12:37"} +{"current_steps": 18785, "total_steps": 24897, "loss": 0.7717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.981612161887285e-05, "epoch": 2.26, "percentage": 75.45, "elapsed_time": "9 days, 8:49:42", "remaining_time": "3 days, 1:09:05"} +{"current_steps": 18790, "total_steps": 24897, "loss": 0.8041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.973955804961536e-05, "epoch": 2.26, "percentage": 75.47, "elapsed_time": "9 days, 8:53:29", "remaining_time": "3 days, 1:05:33"} +{"current_steps": 18795, "total_steps": 24897, "loss": 0.8356, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.966304166625139e-05, "epoch": 2.26, "percentage": 75.49, "elapsed_time": "9 days, 8:57:13", "remaining_time": "3 days, 1:02:01"} +{"current_steps": 18800, "total_steps": 24897, "loss": 0.7551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.958657250479208e-05, "epoch": 2.27, "percentage": 75.51, "elapsed_time": "9 days, 9:00:58", "remaining_time": "3 days, 0:58:28"} +{"current_steps": 18805, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9510150601226394e-05, "epoch": 2.27, "percentage": 75.53, "elapsed_time": "9 days, 9:04:49", "remaining_time": "3 days, 0:54:58"} +{"current_steps": 18810, "total_steps": 24897, "loss": 0.8436, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9433775991521006e-05, "epoch": 2.27, "percentage": 75.55, "elapsed_time": "9 days, 9:08:34", "remaining_time": "3 days, 0:51:26"} +{"current_steps": 18815, "total_steps": 24897, "loss": 0.7735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9357448711620345e-05, "epoch": 2.27, "percentage": 75.57, "elapsed_time": "9 days, 9:12:19", "remaining_time": "3 days, 0:47:53"} +{"current_steps": 18820, "total_steps": 24897, "loss": 0.8395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9281168797446504e-05, "epoch": 2.27, "percentage": 75.59, "elapsed_time": "9 days, 9:16:05", "remaining_time": "3 days, 0:44:21"} +{"current_steps": 18825, "total_steps": 24897, "loss": 0.865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.920493628489946e-05, "epoch": 2.27, "percentage": 75.61, "elapsed_time": "9 days, 9:19:50", "remaining_time": "3 days, 0:40:49"} +{"current_steps": 18830, "total_steps": 24897, "loss": 0.8549, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9128751209856684e-05, "epoch": 2.27, "percentage": 75.63, "elapsed_time": "9 days, 9:23:35", "remaining_time": "3 days, 0:37:17"} +{"current_steps": 18835, "total_steps": 24897, "loss": 0.77, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.9052613608173425e-05, "epoch": 2.27, "percentage": 75.65, "elapsed_time": "9 days, 9:27:20", "remaining_time": "3 days, 0:33:44"} +{"current_steps": 18840, "total_steps": 24897, "loss": 0.8792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.8976523515682505e-05, "epoch": 2.27, "percentage": 75.67, "elapsed_time": "9 days, 9:31:06", "remaining_time": "3 days, 0:30:12"} +{"current_steps": 18845, "total_steps": 24897, "loss": 0.6669, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.890048096819456e-05, "epoch": 2.27, "percentage": 75.69, "elapsed_time": "9 days, 9:34:51", "remaining_time": "3 days, 0:26:40"} +{"current_steps": 18850, "total_steps": 24897, "loss": 0.8335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.882448600149767e-05, "epoch": 2.27, "percentage": 75.71, "elapsed_time": "9 days, 9:38:36", "remaining_time": "3 days, 0:23:07"} +{"current_steps": 18855, "total_steps": 24897, "loss": 0.7719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.874853865135761e-05, "epoch": 2.27, "percentage": 75.73, "elapsed_time": "9 days, 9:42:21", "remaining_time": "3 days, 0:19:35"} +{"current_steps": 18860, "total_steps": 24897, "loss": 0.7569, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.8672638953517724e-05, "epoch": 2.27, "percentage": 75.75, "elapsed_time": "9 days, 9:46:06", "remaining_time": "3 days, 0:16:02"} +{"current_steps": 18865, "total_steps": 24897, "loss": 0.8277, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.859678694369892e-05, "epoch": 2.27, "percentage": 75.77, "elapsed_time": "9 days, 9:49:51", "remaining_time": "3 days, 0:12:30"} +{"current_steps": 18870, "total_steps": 24897, "loss": 0.7552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.852098265759969e-05, "epoch": 2.27, "percentage": 75.79, "elapsed_time": "9 days, 9:53:37", "remaining_time": "3 days, 0:08:58"} +{"current_steps": 18875, "total_steps": 24897, "loss": 0.7934, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.844522613089601e-05, "epoch": 2.27, "percentage": 75.81, "elapsed_time": "9 days, 9:57:22", "remaining_time": "3 days, 0:05:25"} +{"current_steps": 18880, "total_steps": 24897, "loss": 0.8823, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.836951739924141e-05, "epoch": 2.27, "percentage": 75.83, "elapsed_time": "9 days, 10:01:07", "remaining_time": "3 days, 0:01:53"} +{"current_steps": 18885, "total_steps": 24897, "loss": 0.8101, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.829385649826702e-05, "epoch": 2.28, "percentage": 75.85, "elapsed_time": "9 days, 10:04:53", "remaining_time": "2 days, 23:58:21"} +{"current_steps": 18890, "total_steps": 24897, "loss": 0.8344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.82182434635813e-05, "epoch": 2.28, "percentage": 75.87, "elapsed_time": "9 days, 10:08:39", "remaining_time": "2 days, 23:54:49"} +{"current_steps": 18895, "total_steps": 24897, "loss": 0.8552, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.814267833077029e-05, "epoch": 2.28, "percentage": 75.89, "elapsed_time": "9 days, 10:12:24", "remaining_time": "2 days, 23:51:16"} +{"current_steps": 18900, "total_steps": 24897, "loss": 0.7844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.806716113539737e-05, "epoch": 2.28, "percentage": 75.91, "elapsed_time": "9 days, 10:16:09", "remaining_time": "2 days, 23:47:44"} +{"current_steps": 18905, "total_steps": 24897, "loss": 0.7359, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.799169191300357e-05, "epoch": 2.28, "percentage": 75.93, "elapsed_time": "9 days, 10:20:00", "remaining_time": "2 days, 23:44:13"} +{"current_steps": 18910, "total_steps": 24897, "loss": 0.7948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.791627069910713e-05, "epoch": 2.28, "percentage": 75.95, "elapsed_time": "9 days, 10:23:45", "remaining_time": "2 days, 23:40:41"} +{"current_steps": 18915, "total_steps": 24897, "loss": 0.7537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.784089752920381e-05, "epoch": 2.28, "percentage": 75.97, "elapsed_time": "9 days, 10:27:31", "remaining_time": "2 days, 23:37:08"} +{"current_steps": 18920, "total_steps": 24897, "loss": 0.6509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.776557243876665e-05, "epoch": 2.28, "percentage": 75.99, "elapsed_time": "9 days, 10:31:15", "remaining_time": "2 days, 23:33:36"} +{"current_steps": 18925, "total_steps": 24897, "loss": 0.8217, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.7690295463246255e-05, "epoch": 2.28, "percentage": 76.01, "elapsed_time": "9 days, 10:35:00", "remaining_time": "2 days, 23:30:03"} +{"current_steps": 18930, "total_steps": 24897, "loss": 0.8093, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.761506663807047e-05, "epoch": 2.28, "percentage": 76.03, "elapsed_time": "9 days, 10:38:45", "remaining_time": "2 days, 23:26:31"} +{"current_steps": 18935, "total_steps": 24897, "loss": 0.7968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.7539885998644365e-05, "epoch": 2.28, "percentage": 76.05, "elapsed_time": "9 days, 10:42:30", "remaining_time": "2 days, 23:22:58"} +{"current_steps": 18940, "total_steps": 24897, "loss": 0.8392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.746475358035046e-05, "epoch": 2.28, "percentage": 76.07, "elapsed_time": "9 days, 10:46:15", "remaining_time": "2 days, 23:19:26"} +{"current_steps": 18945, "total_steps": 24897, "loss": 0.7922, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.738966941854866e-05, "epoch": 2.28, "percentage": 76.09, "elapsed_time": "9 days, 10:50:01", "remaining_time": "2 days, 23:15:53"} +{"current_steps": 18950, "total_steps": 24897, "loss": 0.8369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.731463354857602e-05, "epoch": 2.28, "percentage": 76.11, "elapsed_time": "9 days, 10:53:46", "remaining_time": "2 days, 23:12:21"} +{"current_steps": 18955, "total_steps": 24897, "loss": 0.7611, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.7239646005746895e-05, "epoch": 2.28, "percentage": 76.13, "elapsed_time": "9 days, 10:57:30", "remaining_time": "2 days, 23:08:48"} +{"current_steps": 18960, "total_steps": 24897, "loss": 0.8706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.716470682535289e-05, "epoch": 2.28, "percentage": 76.15, "elapsed_time": "9 days, 11:01:15", "remaining_time": "2 days, 23:05:15"} +{"current_steps": 18965, "total_steps": 24897, "loss": 0.8218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.708981604266296e-05, "epoch": 2.29, "percentage": 76.17, "elapsed_time": "9 days, 11:05:01", "remaining_time": "2 days, 23:01:43"} +{"current_steps": 18970, "total_steps": 24897, "loss": 0.8075, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.701497369292313e-05, "epoch": 2.29, "percentage": 76.19, "elapsed_time": "9 days, 11:08:47", "remaining_time": "2 days, 22:58:11"} +{"current_steps": 18975, "total_steps": 24897, "loss": 0.7692, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.694017981135671e-05, "epoch": 2.29, "percentage": 76.21, "elapsed_time": "9 days, 11:12:33", "remaining_time": "2 days, 22:54:39"} +{"current_steps": 18980, "total_steps": 24897, "loss": 0.7622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.6865434433164125e-05, "epoch": 2.29, "percentage": 76.23, "elapsed_time": "9 days, 11:16:19", "remaining_time": "2 days, 22:51:06"} +{"current_steps": 18985, "total_steps": 24897, "loss": 0.7964, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.679073759352315e-05, "epoch": 2.29, "percentage": 76.25, "elapsed_time": "9 days, 11:20:04", "remaining_time": "2 days, 22:47:34"} +{"current_steps": 18990, "total_steps": 24897, "loss": 0.7825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.671608932758853e-05, "epoch": 2.29, "percentage": 76.27, "elapsed_time": "9 days, 11:23:48", "remaining_time": "2 days, 22:44:01"} +{"current_steps": 18995, "total_steps": 24897, "loss": 0.8122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.664148967049221e-05, "epoch": 2.29, "percentage": 76.29, "elapsed_time": "9 days, 11:27:33", "remaining_time": "2 days, 22:40:28"} +{"current_steps": 19000, "total_steps": 24897, "loss": 0.7729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.656693865734331e-05, "epoch": 2.29, "percentage": 76.31, "elapsed_time": "9 days, 11:31:18", "remaining_time": "2 days, 22:36:56"} +{"current_steps": 19005, "total_steps": 24897, "loss": 0.793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.649243632322796e-05, "epoch": 2.29, "percentage": 76.33, "elapsed_time": "9 days, 11:35:09", "remaining_time": "2 days, 22:33:25"} +{"current_steps": 19010, "total_steps": 24897, "loss": 0.8523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.641798270320948e-05, "epoch": 2.29, "percentage": 76.35, "elapsed_time": "9 days, 11:38:54", "remaining_time": "2 days, 22:29:52"} +{"current_steps": 19015, "total_steps": 24897, "loss": 0.8208, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.6343577832328176e-05, "epoch": 2.29, "percentage": 76.37, "elapsed_time": "9 days, 11:42:40", "remaining_time": "2 days, 22:26:20"} +{"current_steps": 19020, "total_steps": 24897, "loss": 0.8154, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.626922174560142e-05, "epoch": 2.29, "percentage": 76.39, "elapsed_time": "9 days, 11:46:24", "remaining_time": "2 days, 22:22:47"} +{"current_steps": 19025, "total_steps": 24897, "loss": 0.8359, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.6194914478023754e-05, "epoch": 2.29, "percentage": 76.41, "elapsed_time": "9 days, 11:50:09", "remaining_time": "2 days, 22:19:14"} +{"current_steps": 19030, "total_steps": 24897, "loss": 0.9421, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.6120656064566604e-05, "epoch": 2.29, "percentage": 76.43, "elapsed_time": "9 days, 11:53:54", "remaining_time": "2 days, 22:15:42"} +{"current_steps": 19035, "total_steps": 24897, "loss": 0.8141, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.604644654017843e-05, "epoch": 2.29, "percentage": 76.45, "elapsed_time": "9 days, 11:57:39", "remaining_time": "2 days, 22:12:09"} +{"current_steps": 19040, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.597228593978464e-05, "epoch": 2.29, "percentage": 76.48, "elapsed_time": "9 days, 12:01:25", "remaining_time": "2 days, 22:08:37"} +{"current_steps": 19045, "total_steps": 24897, "loss": 0.7819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.589817429828781e-05, "epoch": 2.29, "percentage": 76.5, "elapsed_time": "9 days, 12:05:08", "remaining_time": "2 days, 22:05:03"} +{"current_steps": 19050, "total_steps": 24897, "loss": 0.7431, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5824111650567264e-05, "epoch": 2.3, "percentage": 76.52, "elapsed_time": "9 days, 12:08:54", "remaining_time": "2 days, 22:01:31"} +{"current_steps": 19055, "total_steps": 24897, "loss": 0.8117, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.575009803147929e-05, "epoch": 2.3, "percentage": 76.54, "elapsed_time": "9 days, 12:12:40", "remaining_time": "2 days, 21:57:59"} +{"current_steps": 19060, "total_steps": 24897, "loss": 0.8768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.567613347585727e-05, "epoch": 2.3, "percentage": 76.56, "elapsed_time": "9 days, 12:16:24", "remaining_time": "2 days, 21:54:26"} +{"current_steps": 19065, "total_steps": 24897, "loss": 0.7407, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.560221801851133e-05, "epoch": 2.3, "percentage": 76.58, "elapsed_time": "9 days, 12:20:09", "remaining_time": "2 days, 21:50:53"} +{"current_steps": 19070, "total_steps": 24897, "loss": 0.7504, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.552835169422854e-05, "epoch": 2.3, "percentage": 76.6, "elapsed_time": "9 days, 12:23:54", "remaining_time": "2 days, 21:47:20"} +{"current_steps": 19075, "total_steps": 24897, "loss": 0.6989, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5454534537772825e-05, "epoch": 2.3, "percentage": 76.62, "elapsed_time": "9 days, 12:27:40", "remaining_time": "2 days, 21:43:48"} +{"current_steps": 19080, "total_steps": 24897, "loss": 0.7739, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5380766583885016e-05, "epoch": 2.3, "percentage": 76.64, "elapsed_time": "9 days, 12:31:25", "remaining_time": "2 days, 21:40:15"} +{"current_steps": 19085, "total_steps": 24897, "loss": 0.838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5307047867282734e-05, "epoch": 2.3, "percentage": 76.66, "elapsed_time": "9 days, 12:35:10", "remaining_time": "2 days, 21:36:42"} +{"current_steps": 19090, "total_steps": 24897, "loss": 0.7301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.523337842266047e-05, "epoch": 2.3, "percentage": 76.68, "elapsed_time": "9 days, 12:38:55", "remaining_time": "2 days, 21:33:10"} +{"current_steps": 19095, "total_steps": 24897, "loss": 0.7589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.515975828468949e-05, "epoch": 2.3, "percentage": 76.7, "elapsed_time": "9 days, 12:42:40", "remaining_time": "2 days, 21:29:37"} +{"current_steps": 19100, "total_steps": 24897, "loss": 0.8142, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.508618748801793e-05, "epoch": 2.3, "percentage": 76.72, "elapsed_time": "9 days, 12:46:26", "remaining_time": "2 days, 21:26:04"} +{"current_steps": 19105, "total_steps": 24897, "loss": 0.7316, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.50126660672706e-05, "epoch": 2.3, "percentage": 76.74, "elapsed_time": "9 days, 12:50:16", "remaining_time": "2 days, 21:22:33"} +{"current_steps": 19110, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.493919405704917e-05, "epoch": 2.3, "percentage": 76.76, "elapsed_time": "9 days, 12:54:02", "remaining_time": "2 days, 21:19:01"} +{"current_steps": 19115, "total_steps": 24897, "loss": 0.7306, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.486577149193191e-05, "epoch": 2.3, "percentage": 76.78, "elapsed_time": "9 days, 12:57:47", "remaining_time": "2 days, 21:15:28"} +{"current_steps": 19120, "total_steps": 24897, "loss": 0.8264, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.479239840647405e-05, "epoch": 2.3, "percentage": 76.8, "elapsed_time": "9 days, 13:01:32", "remaining_time": "2 days, 21:11:55"} +{"current_steps": 19125, "total_steps": 24897, "loss": 0.7622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.471907483520732e-05, "epoch": 2.3, "percentage": 76.82, "elapsed_time": "9 days, 13:05:17", "remaining_time": "2 days, 21:08:22"} +{"current_steps": 19130, "total_steps": 24897, "loss": 0.8655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.464580081264026e-05, "epoch": 2.3, "percentage": 76.84, "elapsed_time": "9 days, 13:09:02", "remaining_time": "2 days, 21:04:50"} +{"current_steps": 19135, "total_steps": 24897, "loss": 0.7366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4572576373257986e-05, "epoch": 2.31, "percentage": 76.86, "elapsed_time": "9 days, 13:12:47", "remaining_time": "2 days, 21:01:17"} +{"current_steps": 19140, "total_steps": 24897, "loss": 0.7704, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4499401551522504e-05, "epoch": 2.31, "percentage": 76.88, "elapsed_time": "9 days, 13:16:32", "remaining_time": "2 days, 20:57:44"} +{"current_steps": 19145, "total_steps": 24897, "loss": 0.7775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.442627638187216e-05, "epoch": 2.31, "percentage": 76.9, "elapsed_time": "9 days, 13:20:17", "remaining_time": "2 days, 20:54:11"} +{"current_steps": 19150, "total_steps": 24897, "loss": 0.7988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.435320089872217e-05, "epoch": 2.31, "percentage": 76.92, "elapsed_time": "9 days, 13:24:02", "remaining_time": "2 days, 20:50:38"} +{"current_steps": 19155, "total_steps": 24897, "loss": 0.7712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.428017513646418e-05, "epoch": 2.31, "percentage": 76.94, "elapsed_time": "9 days, 13:27:47", "remaining_time": "2 days, 20:47:06"} +{"current_steps": 19160, "total_steps": 24897, "loss": 0.8302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4207199129466685e-05, "epoch": 2.31, "percentage": 76.96, "elapsed_time": "9 days, 13:31:32", "remaining_time": "2 days, 20:43:33"} +{"current_steps": 19165, "total_steps": 24897, "loss": 0.7243, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4134272912074546e-05, "epoch": 2.31, "percentage": 76.98, "elapsed_time": "9 days, 13:35:17", "remaining_time": "2 days, 20:40:00"} +{"current_steps": 19170, "total_steps": 24897, "loss": 0.7353, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.406139651860928e-05, "epoch": 2.31, "percentage": 77.0, "elapsed_time": "9 days, 13:39:01", "remaining_time": "2 days, 20:36:27"} +{"current_steps": 19175, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.398856998336885e-05, "epoch": 2.31, "percentage": 77.02, "elapsed_time": "9 days, 13:42:42", "remaining_time": "2 days, 20:32:53"} +{"current_steps": 19180, "total_steps": 24897, "loss": 0.6845, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.391579334062798e-05, "epoch": 2.31, "percentage": 77.04, "elapsed_time": "9 days, 13:46:25", "remaining_time": "2 days, 20:29:19"} +{"current_steps": 19185, "total_steps": 24897, "loss": 0.8806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3843066624637705e-05, "epoch": 2.31, "percentage": 77.06, "elapsed_time": "9 days, 13:50:09", "remaining_time": "2 days, 20:25:46"} +{"current_steps": 19190, "total_steps": 24897, "loss": 0.8377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3770389869625654e-05, "epoch": 2.31, "percentage": 77.08, "elapsed_time": "9 days, 13:53:53", "remaining_time": "2 days, 20:22:13"} +{"current_steps": 19195, "total_steps": 24897, "loss": 0.7839, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3697763109795845e-05, "epoch": 2.31, "percentage": 77.1, "elapsed_time": "9 days, 13:57:36", "remaining_time": "2 days, 20:18:40"} +{"current_steps": 19200, "total_steps": 24897, "loss": 0.7334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.362518637932896e-05, "epoch": 2.31, "percentage": 77.12, "elapsed_time": "9 days, 14:01:21", "remaining_time": "2 days, 20:15:07"} +{"current_steps": 19205, "total_steps": 24897, "loss": 0.7914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3552659712381965e-05, "epoch": 2.31, "percentage": 77.14, "elapsed_time": "9 days, 14:05:07", "remaining_time": "2 days, 20:11:34"} +{"current_steps": 19210, "total_steps": 24897, "loss": 0.7296, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.34801831430883e-05, "epoch": 2.31, "percentage": 77.16, "elapsed_time": "9 days, 14:08:52", "remaining_time": "2 days, 20:08:01"} +{"current_steps": 19215, "total_steps": 24897, "loss": 0.7574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.340775670555787e-05, "epoch": 2.32, "percentage": 77.18, "elapsed_time": "9 days, 14:12:35", "remaining_time": "2 days, 20:04:28"} +{"current_steps": 19220, "total_steps": 24897, "loss": 0.8409, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.333538043387695e-05, "epoch": 2.32, "percentage": 77.2, "elapsed_time": "9 days, 14:16:19", "remaining_time": "2 days, 20:00:55"} +{"current_steps": 19225, "total_steps": 24897, "loss": 0.7326, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.326305436210823e-05, "epoch": 2.32, "percentage": 77.22, "elapsed_time": "9 days, 14:20:03", "remaining_time": "2 days, 19:57:22"} +{"current_steps": 19230, "total_steps": 24897, "loss": 0.8482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3190778524290755e-05, "epoch": 2.32, "percentage": 77.24, "elapsed_time": "9 days, 14:23:46", "remaining_time": "2 days, 19:53:48"} +{"current_steps": 19235, "total_steps": 24897, "loss": 0.7736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.311855295443987e-05, "epoch": 2.32, "percentage": 77.26, "elapsed_time": "9 days, 14:27:31", "remaining_time": "2 days, 19:50:15"} +{"current_steps": 19240, "total_steps": 24897, "loss": 0.7654, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.304637768654744e-05, "epoch": 2.32, "percentage": 77.28, "elapsed_time": "9 days, 14:31:15", "remaining_time": "2 days, 19:46:42"} +{"current_steps": 19245, "total_steps": 24897, "loss": 0.7946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.29742527545815e-05, "epoch": 2.32, "percentage": 77.3, "elapsed_time": "9 days, 14:34:58", "remaining_time": "2 days, 19:43:08"} +{"current_steps": 19250, "total_steps": 24897, "loss": 0.8248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.290217819248641e-05, "epoch": 2.32, "percentage": 77.32, "elapsed_time": "9 days, 14:38:41", "remaining_time": "2 days, 19:39:35"} +{"current_steps": 19255, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.283015403418284e-05, "epoch": 2.32, "percentage": 77.34, "elapsed_time": "9 days, 14:42:25", "remaining_time": "2 days, 19:36:02"} +{"current_steps": 19260, "total_steps": 24897, "loss": 0.7121, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.275818031356783e-05, "epoch": 2.32, "percentage": 77.36, "elapsed_time": "9 days, 14:46:09", "remaining_time": "2 days, 19:32:28"} +{"current_steps": 19265, "total_steps": 24897, "loss": 0.8807, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.268625706451454e-05, "epoch": 2.32, "percentage": 77.38, "elapsed_time": "9 days, 14:49:53", "remaining_time": "2 days, 19:28:55"} +{"current_steps": 19270, "total_steps": 24897, "loss": 0.703, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.261438432087247e-05, "epoch": 2.32, "percentage": 77.4, "elapsed_time": "9 days, 14:53:38", "remaining_time": "2 days, 19:25:22"} +{"current_steps": 19275, "total_steps": 24897, "loss": 0.8218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2542562116467245e-05, "epoch": 2.32, "percentage": 77.42, "elapsed_time": "9 days, 14:57:21", "remaining_time": "2 days, 19:21:49"} +{"current_steps": 19280, "total_steps": 24897, "loss": 0.7852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.247079048510089e-05, "epoch": 2.32, "percentage": 77.44, "elapsed_time": "9 days, 15:01:06", "remaining_time": "2 days, 19:18:16"} +{"current_steps": 19285, "total_steps": 24897, "loss": 0.7117, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.239906946055148e-05, "epoch": 2.32, "percentage": 77.46, "elapsed_time": "9 days, 15:04:49", "remaining_time": "2 days, 19:14:42"} +{"current_steps": 19290, "total_steps": 24897, "loss": 0.8007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2327399076573284e-05, "epoch": 2.32, "percentage": 77.48, "elapsed_time": "9 days, 15:08:34", "remaining_time": "2 days, 19:11:09"} +{"current_steps": 19295, "total_steps": 24897, "loss": 0.7185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.225577936689677e-05, "epoch": 2.32, "percentage": 77.5, "elapsed_time": "9 days, 15:12:19", "remaining_time": "2 days, 19:07:36"} +{"current_steps": 19300, "total_steps": 24897, "loss": 0.733, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2184210365228575e-05, "epoch": 2.33, "percentage": 77.52, "elapsed_time": "9 days, 15:16:02", "remaining_time": "2 days, 19:04:03"} +{"current_steps": 19305, "total_steps": 24897, "loss": 0.8673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.2112692105251446e-05, "epoch": 2.33, "percentage": 77.54, "elapsed_time": "9 days, 15:19:50", "remaining_time": "2 days, 19:00:30"} +{"current_steps": 19310, "total_steps": 24897, "loss": 0.7282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.204122462062422e-05, "epoch": 2.33, "percentage": 77.56, "elapsed_time": "9 days, 15:23:35", "remaining_time": "2 days, 18:56:58"} +{"current_steps": 19315, "total_steps": 24897, "loss": 0.7511, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.196980794498185e-05, "epoch": 2.33, "percentage": 77.58, "elapsed_time": "9 days, 15:27:19", "remaining_time": "2 days, 18:53:24"} +{"current_steps": 19320, "total_steps": 24897, "loss": 0.6768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.189844211193548e-05, "epoch": 2.33, "percentage": 77.6, "elapsed_time": "9 days, 15:31:03", "remaining_time": "2 days, 18:49:51"} +{"current_steps": 19325, "total_steps": 24897, "loss": 0.774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.182712715507217e-05, "epoch": 2.33, "percentage": 77.62, "elapsed_time": "9 days, 15:34:47", "remaining_time": "2 days, 18:46:18"} +{"current_steps": 19330, "total_steps": 24897, "loss": 0.7939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.175586310795515e-05, "epoch": 2.33, "percentage": 77.64, "elapsed_time": "9 days, 15:38:31", "remaining_time": "2 days, 18:42:44"} +{"current_steps": 19335, "total_steps": 24897, "loss": 0.6774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.168465000412359e-05, "epoch": 2.33, "percentage": 77.66, "elapsed_time": "9 days, 15:42:16", "remaining_time": "2 days, 18:39:11"} +{"current_steps": 19340, "total_steps": 24897, "loss": 0.6694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.161348787709282e-05, "epoch": 2.33, "percentage": 77.68, "elapsed_time": "9 days, 15:46:00", "remaining_time": "2 days, 18:35:38"} +{"current_steps": 19345, "total_steps": 24897, "loss": 0.7335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.1542376760354045e-05, "epoch": 2.33, "percentage": 77.7, "elapsed_time": "9 days, 15:49:44", "remaining_time": "2 days, 18:32:05"} +{"current_steps": 19350, "total_steps": 24897, "loss": 0.8134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.1471316687374556e-05, "epoch": 2.33, "percentage": 77.72, "elapsed_time": "9 days, 15:53:28", "remaining_time": "2 days, 18:28:31"} +{"current_steps": 19355, "total_steps": 24897, "loss": 0.8138, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.140030769159755e-05, "epoch": 2.33, "percentage": 77.74, "elapsed_time": "9 days, 15:57:13", "remaining_time": "2 days, 18:24:58"} +{"current_steps": 19360, "total_steps": 24897, "loss": 0.7309, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.132934980644223e-05, "epoch": 2.33, "percentage": 77.76, "elapsed_time": "9 days, 16:00:59", "remaining_time": "2 days, 18:21:25"} +{"current_steps": 19365, "total_steps": 24897, "loss": 0.752, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.125844306530373e-05, "epoch": 2.33, "percentage": 77.78, "elapsed_time": "9 days, 16:04:43", "remaining_time": "2 days, 18:17:52"} +{"current_steps": 19370, "total_steps": 24897, "loss": 0.7993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.118758750155311e-05, "epoch": 2.33, "percentage": 77.8, "elapsed_time": "9 days, 16:08:28", "remaining_time": "2 days, 18:14:19"} +{"current_steps": 19375, "total_steps": 24897, "loss": 0.7266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.111678314853732e-05, "epoch": 2.33, "percentage": 77.82, "elapsed_time": "9 days, 16:12:13", "remaining_time": "2 days, 18:10:46"} +{"current_steps": 19380, "total_steps": 24897, "loss": 0.7632, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.104603003957934e-05, "epoch": 2.34, "percentage": 77.84, "elapsed_time": "9 days, 16:15:57", "remaining_time": "2 days, 18:07:13"} +{"current_steps": 19385, "total_steps": 24897, "loss": 0.8847, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.097532820797786e-05, "epoch": 2.34, "percentage": 77.86, "elapsed_time": "9 days, 16:19:42", "remaining_time": "2 days, 18:03:39"} +{"current_steps": 19390, "total_steps": 24897, "loss": 0.7926, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0904677687007524e-05, "epoch": 2.34, "percentage": 77.88, "elapsed_time": "9 days, 16:23:26", "remaining_time": "2 days, 18:00:06"} +{"current_steps": 19395, "total_steps": 24897, "loss": 0.8595, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0834078509918756e-05, "epoch": 2.34, "percentage": 77.9, "elapsed_time": "9 days, 16:27:11", "remaining_time": "2 days, 17:56:33"} +{"current_steps": 19400, "total_steps": 24897, "loss": 0.8338, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.076353070993799e-05, "epoch": 2.34, "percentage": 77.92, "elapsed_time": "9 days, 16:30:55", "remaining_time": "2 days, 17:53:00"} +{"current_steps": 19405, "total_steps": 24897, "loss": 0.7235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0693034320267295e-05, "epoch": 2.34, "percentage": 77.94, "elapsed_time": "9 days, 16:34:44", "remaining_time": "2 days, 17:49:28"} +{"current_steps": 19410, "total_steps": 24897, "loss": 0.7693, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.062258937408464e-05, "epoch": 2.34, "percentage": 77.96, "elapsed_time": "9 days, 16:38:28", "remaining_time": "2 days, 17:45:54"} +{"current_steps": 19415, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.055219590454366e-05, "epoch": 2.34, "percentage": 77.98, "elapsed_time": "9 days, 16:42:13", "remaining_time": "2 days, 17:42:21"} +{"current_steps": 19420, "total_steps": 24897, "loss": 0.7985, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0481853944774e-05, "epoch": 2.34, "percentage": 78.0, "elapsed_time": "9 days, 16:45:58", "remaining_time": "2 days, 17:38:48"} +{"current_steps": 19425, "total_steps": 24897, "loss": 0.878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0411563527880856e-05, "epoch": 2.34, "percentage": 78.02, "elapsed_time": "9 days, 16:49:43", "remaining_time": "2 days, 17:35:15"} +{"current_steps": 19430, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0341324686945237e-05, "epoch": 2.34, "percentage": 78.04, "elapsed_time": "9 days, 16:53:28", "remaining_time": "2 days, 17:31:42"} +{"current_steps": 19435, "total_steps": 24897, "loss": 0.7558, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.027113745502388e-05, "epoch": 2.34, "percentage": 78.06, "elapsed_time": "9 days, 16:57:13", "remaining_time": "2 days, 17:28:09"} +{"current_steps": 19440, "total_steps": 24897, "loss": 0.8359, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0201001865149206e-05, "epoch": 2.34, "percentage": 78.08, "elapsed_time": "9 days, 17:00:58", "remaining_time": "2 days, 17:24:35"} +{"current_steps": 19445, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.013091795032937e-05, "epoch": 2.34, "percentage": 78.1, "elapsed_time": "9 days, 17:04:42", "remaining_time": "2 days, 17:21:02"} +{"current_steps": 19450, "total_steps": 24897, "loss": 0.7822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.006088574354819e-05, "epoch": 2.34, "percentage": 78.12, "elapsed_time": "9 days, 17:08:28", "remaining_time": "2 days, 17:17:29"} +{"current_steps": 19455, "total_steps": 24897, "loss": 0.7575, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.999090527776509e-05, "epoch": 2.34, "percentage": 78.14, "elapsed_time": "9 days, 17:12:13", "remaining_time": "2 days, 17:13:56"} +{"current_steps": 19460, "total_steps": 24897, "loss": 0.8384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9920976585915296e-05, "epoch": 2.34, "percentage": 78.16, "elapsed_time": "9 days, 17:15:58", "remaining_time": "2 days, 17:10:23"} +{"current_steps": 19465, "total_steps": 24897, "loss": 0.7938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.985109970090956e-05, "epoch": 2.35, "percentage": 78.18, "elapsed_time": "9 days, 17:19:43", "remaining_time": "2 days, 17:06:49"} +{"current_steps": 19470, "total_steps": 24897, "loss": 0.7544, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9781274655634205e-05, "epoch": 2.35, "percentage": 78.2, "elapsed_time": "9 days, 17:23:28", "remaining_time": "2 days, 17:03:16"} +{"current_steps": 19475, "total_steps": 24897, "loss": 0.9053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.971150148295123e-05, "epoch": 2.35, "percentage": 78.22, "elapsed_time": "9 days, 17:27:13", "remaining_time": "2 days, 16:59:43"} +{"current_steps": 19480, "total_steps": 24897, "loss": 0.7899, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.964178021569825e-05, "epoch": 2.35, "percentage": 78.24, "elapsed_time": "9 days, 17:30:58", "remaining_time": "2 days, 16:56:10"} +{"current_steps": 19485, "total_steps": 24897, "loss": 0.7274, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.957211088668838e-05, "epoch": 2.35, "percentage": 78.26, "elapsed_time": "9 days, 17:34:43", "remaining_time": "2 days, 16:52:37"} +{"current_steps": 19490, "total_steps": 24897, "loss": 0.7441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.950249352871034e-05, "epoch": 2.35, "percentage": 78.28, "elapsed_time": "9 days, 17:38:27", "remaining_time": "2 days, 16:49:03"} +{"current_steps": 19495, "total_steps": 24897, "loss": 0.7978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.94329281745283e-05, "epoch": 2.35, "percentage": 78.3, "elapsed_time": "9 days, 17:42:11", "remaining_time": "2 days, 16:45:30"} +{"current_steps": 19500, "total_steps": 24897, "loss": 0.7804, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9363414856882126e-05, "epoch": 2.35, "percentage": 78.32, "elapsed_time": "9 days, 17:45:55", "remaining_time": "2 days, 16:41:56"} +{"current_steps": 19505, "total_steps": 24897, "loss": 0.7589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.929395360848704e-05, "epoch": 2.35, "percentage": 78.34, "elapsed_time": "9 days, 17:49:44", "remaining_time": "2 days, 16:38:24"} +{"current_steps": 19510, "total_steps": 24897, "loss": 0.7887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9224544462033844e-05, "epoch": 2.35, "percentage": 78.36, "elapsed_time": "9 days, 17:53:29", "remaining_time": "2 days, 16:34:51"} +{"current_steps": 19515, "total_steps": 24897, "loss": 0.7634, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.915518745018873e-05, "epoch": 2.35, "percentage": 78.38, "elapsed_time": "9 days, 17:57:15", "remaining_time": "2 days, 16:31:18"} +{"current_steps": 19520, "total_steps": 24897, "loss": 0.8887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9085882605593485e-05, "epoch": 2.35, "percentage": 78.4, "elapsed_time": "9 days, 18:00:59", "remaining_time": "2 days, 16:27:44"} +{"current_steps": 19525, "total_steps": 24897, "loss": 0.8303, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.901662996086519e-05, "epoch": 2.35, "percentage": 78.42, "elapsed_time": "9 days, 18:04:45", "remaining_time": "2 days, 16:24:11"} +{"current_steps": 19530, "total_steps": 24897, "loss": 0.7661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8947429548596506e-05, "epoch": 2.35, "percentage": 78.44, "elapsed_time": "9 days, 18:08:30", "remaining_time": "2 days, 16:20:38"} +{"current_steps": 19535, "total_steps": 24897, "loss": 0.7203, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8878281401355366e-05, "epoch": 2.35, "percentage": 78.46, "elapsed_time": "9 days, 18:12:15", "remaining_time": "2 days, 16:17:05"} +{"current_steps": 19540, "total_steps": 24897, "loss": 0.8163, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.880918555168528e-05, "epoch": 2.35, "percentage": 78.48, "elapsed_time": "9 days, 18:15:59", "remaining_time": "2 days, 16:13:31"} +{"current_steps": 19545, "total_steps": 24897, "loss": 0.8113, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8740142032105e-05, "epoch": 2.35, "percentage": 78.5, "elapsed_time": "9 days, 18:19:45", "remaining_time": "2 days, 16:09:58"} +{"current_steps": 19550, "total_steps": 24897, "loss": 0.8122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8671150875108715e-05, "epoch": 2.36, "percentage": 78.52, "elapsed_time": "9 days, 18:23:31", "remaining_time": "2 days, 16:06:25"} +{"current_steps": 19555, "total_steps": 24897, "loss": 0.8273, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8602212113165886e-05, "epoch": 2.36, "percentage": 78.54, "elapsed_time": "9 days, 18:27:17", "remaining_time": "2 days, 16:02:52"} +{"current_steps": 19560, "total_steps": 24897, "loss": 0.7594, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.85333257787215e-05, "epoch": 2.36, "percentage": 78.56, "elapsed_time": "9 days, 18:31:03", "remaining_time": "2 days, 15:59:19"} +{"current_steps": 19565, "total_steps": 24897, "loss": 0.8816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.846449190419569e-05, "epoch": 2.36, "percentage": 78.58, "elapsed_time": "9 days, 18:34:49", "remaining_time": "2 days, 15:55:46"} +{"current_steps": 19570, "total_steps": 24897, "loss": 0.7435, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.839571052198398e-05, "epoch": 2.36, "percentage": 78.6, "elapsed_time": "9 days, 18:38:34", "remaining_time": "2 days, 15:52:13"} +{"current_steps": 19575, "total_steps": 24897, "loss": 0.7484, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.832698166445715e-05, "epoch": 2.36, "percentage": 78.62, "elapsed_time": "9 days, 18:42:20", "remaining_time": "2 days, 15:48:40"} +{"current_steps": 19580, "total_steps": 24897, "loss": 0.7701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.82583053639613e-05, "epoch": 2.36, "percentage": 78.64, "elapsed_time": "9 days, 18:46:05", "remaining_time": "2 days, 15:45:07"} +{"current_steps": 19585, "total_steps": 24897, "loss": 0.8798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.818968165281777e-05, "epoch": 2.36, "percentage": 78.66, "elapsed_time": "9 days, 18:49:52", "remaining_time": "2 days, 15:41:34"} +{"current_steps": 19590, "total_steps": 24897, "loss": 0.7226, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8121110563323115e-05, "epoch": 2.36, "percentage": 78.68, "elapsed_time": "9 days, 18:53:38", "remaining_time": "2 days, 15:38:01"} +{"current_steps": 19595, "total_steps": 24897, "loss": 0.8741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8052592127749265e-05, "epoch": 2.36, "percentage": 78.7, "elapsed_time": "9 days, 18:57:23", "remaining_time": "2 days, 15:34:27"} +{"current_steps": 19600, "total_steps": 24897, "loss": 0.767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.798412637834321e-05, "epoch": 2.36, "percentage": 78.72, "elapsed_time": "9 days, 19:01:09", "remaining_time": "2 days, 15:30:54"} +{"current_steps": 19605, "total_steps": 24897, "loss": 0.7556, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7915713347327225e-05, "epoch": 2.36, "percentage": 78.74, "elapsed_time": "9 days, 19:05:02", "remaining_time": "2 days, 15:27:23"} +{"current_steps": 19610, "total_steps": 24897, "loss": 0.7164, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.784735306689869e-05, "epoch": 2.36, "percentage": 78.76, "elapsed_time": "9 days, 19:08:48", "remaining_time": "2 days, 15:23:50"} +{"current_steps": 19615, "total_steps": 24897, "loss": 0.9218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.777904556923031e-05, "epoch": 2.36, "percentage": 78.78, "elapsed_time": "9 days, 19:12:34", "remaining_time": "2 days, 15:20:17"} +{"current_steps": 19620, "total_steps": 24897, "loss": 0.8447, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7710790886469837e-05, "epoch": 2.36, "percentage": 78.8, "elapsed_time": "9 days, 19:16:19", "remaining_time": "2 days, 15:16:43"} +{"current_steps": 19625, "total_steps": 24897, "loss": 0.735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.764258905074018e-05, "epoch": 2.36, "percentage": 78.82, "elapsed_time": "9 days, 19:20:06", "remaining_time": "2 days, 15:13:10"} +{"current_steps": 19630, "total_steps": 24897, "loss": 0.7163, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7574440094139364e-05, "epoch": 2.37, "percentage": 78.84, "elapsed_time": "9 days, 19:23:51", "remaining_time": "2 days, 15:09:37"} +{"current_steps": 19635, "total_steps": 24897, "loss": 0.8382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.75063440487406e-05, "epoch": 2.37, "percentage": 78.86, "elapsed_time": "9 days, 19:27:37", "remaining_time": "2 days, 15:06:04"} +{"current_steps": 19640, "total_steps": 24897, "loss": 0.7424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.743830094659212e-05, "epoch": 2.37, "percentage": 78.89, "elapsed_time": "9 days, 19:31:24", "remaining_time": "2 days, 15:02:31"} +{"current_steps": 19645, "total_steps": 24897, "loss": 0.7901, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.737031081971729e-05, "epoch": 2.37, "percentage": 78.91, "elapsed_time": "9 days, 19:35:10", "remaining_time": "2 days, 14:58:58"} +{"current_steps": 19650, "total_steps": 24897, "loss": 0.7586, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.73023737001145e-05, "epoch": 2.37, "percentage": 78.93, "elapsed_time": "9 days, 19:38:56", "remaining_time": "2 days, 14:55:25"} +{"current_steps": 19655, "total_steps": 24897, "loss": 0.8153, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.723448961975722e-05, "epoch": 2.37, "percentage": 78.95, "elapsed_time": "9 days, 19:42:42", "remaining_time": "2 days, 14:51:52"} +{"current_steps": 19660, "total_steps": 24897, "loss": 0.8317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7166658610593955e-05, "epoch": 2.37, "percentage": 78.97, "elapsed_time": "9 days, 19:46:28", "remaining_time": "2 days, 14:48:18"} +{"current_steps": 19665, "total_steps": 24897, "loss": 0.8345, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.709888070454822e-05, "epoch": 2.37, "percentage": 78.99, "elapsed_time": "9 days, 19:50:13", "remaining_time": "2 days, 14:44:45"} +{"current_steps": 19670, "total_steps": 24897, "loss": 0.7405, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.70311559335185e-05, "epoch": 2.37, "percentage": 79.01, "elapsed_time": "9 days, 19:53:59", "remaining_time": "2 days, 14:41:12"} +{"current_steps": 19675, "total_steps": 24897, "loss": 0.7129, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.696348432937845e-05, "epoch": 2.37, "percentage": 79.03, "elapsed_time": "9 days, 19:57:45", "remaining_time": "2 days, 14:37:39"} +{"current_steps": 19680, "total_steps": 24897, "loss": 0.7907, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.689586592397647e-05, "epoch": 2.37, "percentage": 79.05, "elapsed_time": "9 days, 20:01:31", "remaining_time": "2 days, 14:34:06"} +{"current_steps": 19685, "total_steps": 24897, "loss": 0.8186, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6828300749136085e-05, "epoch": 2.37, "percentage": 79.07, "elapsed_time": "9 days, 20:05:17", "remaining_time": "2 days, 14:30:32"} +{"current_steps": 19690, "total_steps": 24897, "loss": 0.7776, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6760788836655624e-05, "epoch": 2.37, "percentage": 79.09, "elapsed_time": "9 days, 20:09:03", "remaining_time": "2 days, 14:26:59"} +{"current_steps": 19695, "total_steps": 24897, "loss": 0.7774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.669333021830854e-05, "epoch": 2.37, "percentage": 79.11, "elapsed_time": "9 days, 20:12:49", "remaining_time": "2 days, 14:23:26"} +{"current_steps": 19700, "total_steps": 24897, "loss": 0.7293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.662592492584306e-05, "epoch": 2.37, "percentage": 79.13, "elapsed_time": "9 days, 20:16:35", "remaining_time": "2 days, 14:19:53"} +{"current_steps": 19705, "total_steps": 24897, "loss": 0.7946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.655857299098233e-05, "epoch": 2.37, "percentage": 79.15, "elapsed_time": "9 days, 20:20:26", "remaining_time": "2 days, 14:16:21"} +{"current_steps": 19710, "total_steps": 24897, "loss": 0.7626, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.64912744454244e-05, "epoch": 2.37, "percentage": 79.17, "elapsed_time": "9 days, 20:24:12", "remaining_time": "2 days, 14:12:48"} +{"current_steps": 19715, "total_steps": 24897, "loss": 0.7492, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6424029320842265e-05, "epoch": 2.38, "percentage": 79.19, "elapsed_time": "9 days, 20:27:58", "remaining_time": "2 days, 14:09:14"} +{"current_steps": 19720, "total_steps": 24897, "loss": 0.7598, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.635683764888367e-05, "epoch": 2.38, "percentage": 79.21, "elapsed_time": "9 days, 20:31:44", "remaining_time": "2 days, 14:05:41"} +{"current_steps": 19725, "total_steps": 24897, "loss": 0.852, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.628969946117129e-05, "epoch": 2.38, "percentage": 79.23, "elapsed_time": "9 days, 20:35:30", "remaining_time": "2 days, 14:02:08"} +{"current_steps": 19730, "total_steps": 24897, "loss": 0.863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6222614789302454e-05, "epoch": 2.38, "percentage": 79.25, "elapsed_time": "9 days, 20:39:15", "remaining_time": "2 days, 13:58:34"} +{"current_steps": 19735, "total_steps": 24897, "loss": 0.7349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.615558366484958e-05, "epoch": 2.38, "percentage": 79.27, "elapsed_time": "9 days, 20:43:01", "remaining_time": "2 days, 13:55:01"} +{"current_steps": 19740, "total_steps": 24897, "loss": 0.8482, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.608860611935969e-05, "epoch": 2.38, "percentage": 79.29, "elapsed_time": "9 days, 20:46:48", "remaining_time": "2 days, 13:51:28"} +{"current_steps": 19745, "total_steps": 24897, "loss": 0.8088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.602168218435464e-05, "epoch": 2.38, "percentage": 79.31, "elapsed_time": "9 days, 20:50:34", "remaining_time": "2 days, 13:47:55"} +{"current_steps": 19750, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.595481189133101e-05, "epoch": 2.38, "percentage": 79.33, "elapsed_time": "9 days, 20:54:20", "remaining_time": "2 days, 13:44:21"} +{"current_steps": 19755, "total_steps": 24897, "loss": 0.8115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.588799527176026e-05, "epoch": 2.38, "percentage": 79.35, "elapsed_time": "9 days, 20:58:06", "remaining_time": "2 days, 13:40:48"} +{"current_steps": 19760, "total_steps": 24897, "loss": 0.8447, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5821232357088493e-05, "epoch": 2.38, "percentage": 79.37, "elapsed_time": "9 days, 21:01:52", "remaining_time": "2 days, 13:37:15"} +{"current_steps": 19765, "total_steps": 24897, "loss": 0.7258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.575452317873653e-05, "epoch": 2.38, "percentage": 79.39, "elapsed_time": "9 days, 21:05:38", "remaining_time": "2 days, 13:33:42"} +{"current_steps": 19770, "total_steps": 24897, "loss": 0.7573, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.56878677680999e-05, "epoch": 2.38, "percentage": 79.41, "elapsed_time": "9 days, 21:09:23", "remaining_time": "2 days, 13:30:08"} +{"current_steps": 19775, "total_steps": 24897, "loss": 0.8521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5621266156548925e-05, "epoch": 2.38, "percentage": 79.43, "elapsed_time": "9 days, 21:13:06", "remaining_time": "2 days, 13:26:34"} +{"current_steps": 19780, "total_steps": 24897, "loss": 0.8946, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.55547183754285e-05, "epoch": 2.38, "percentage": 79.45, "elapsed_time": "9 days, 21:16:49", "remaining_time": "2 days, 13:23:00"} +{"current_steps": 19785, "total_steps": 24897, "loss": 0.7888, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5488224456058215e-05, "epoch": 2.38, "percentage": 79.47, "elapsed_time": "9 days, 21:20:32", "remaining_time": "2 days, 13:19:26"} +{"current_steps": 19790, "total_steps": 24897, "loss": 0.7592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5421784429732316e-05, "epoch": 2.38, "percentage": 79.49, "elapsed_time": "9 days, 21:24:14", "remaining_time": "2 days, 13:15:51"} +{"current_steps": 19795, "total_steps": 24897, "loss": 0.7478, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.535539832771971e-05, "epoch": 2.39, "percentage": 79.51, "elapsed_time": "9 days, 21:27:55", "remaining_time": "2 days, 13:12:17"} +{"current_steps": 19800, "total_steps": 24897, "loss": 0.8196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.528906618126385e-05, "epoch": 2.39, "percentage": 79.53, "elapsed_time": "9 days, 21:31:37", "remaining_time": "2 days, 13:08:42"} +{"current_steps": 19805, "total_steps": 24897, "loss": 0.8045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.52227880215829e-05, "epoch": 2.39, "percentage": 79.55, "elapsed_time": "9 days, 21:35:20", "remaining_time": "2 days, 13:05:08"} +{"current_steps": 19810, "total_steps": 24897, "loss": 0.7438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5156563879869494e-05, "epoch": 2.39, "percentage": 79.57, "elapsed_time": "9 days, 21:39:01", "remaining_time": "2 days, 13:01:34"} +{"current_steps": 19815, "total_steps": 24897, "loss": 0.7557, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.509039378729099e-05, "epoch": 2.39, "percentage": 79.59, "elapsed_time": "9 days, 21:42:41", "remaining_time": "2 days, 12:57:59"} +{"current_steps": 19820, "total_steps": 24897, "loss": 0.9046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5024277774989203e-05, "epoch": 2.39, "percentage": 79.61, "elapsed_time": "9 days, 21:46:15", "remaining_time": "2 days, 12:54:22"} +{"current_steps": 19825, "total_steps": 24897, "loss": 0.7422, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4958215874080526e-05, "epoch": 2.39, "percentage": 79.63, "elapsed_time": "9 days, 21:49:55", "remaining_time": "2 days, 12:50:47"} +{"current_steps": 19830, "total_steps": 24897, "loss": 0.8565, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4892208115655837e-05, "epoch": 2.39, "percentage": 79.65, "elapsed_time": "9 days, 21:53:34", "remaining_time": "2 days, 12:47:12"} +{"current_steps": 19835, "total_steps": 24897, "loss": 0.7516, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.482625453078065e-05, "epoch": 2.39, "percentage": 79.67, "elapsed_time": "9 days, 21:57:13", "remaining_time": "2 days, 12:43:37"} +{"current_steps": 19840, "total_steps": 24897, "loss": 0.7884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4760355150494895e-05, "epoch": 2.39, "percentage": 79.69, "elapsed_time": "9 days, 22:00:53", "remaining_time": "2 days, 12:40:02"} +{"current_steps": 19845, "total_steps": 24897, "loss": 0.7924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4694510005812996e-05, "epoch": 2.39, "percentage": 79.71, "elapsed_time": "9 days, 22:04:33", "remaining_time": "2 days, 12:36:27"} +{"current_steps": 19850, "total_steps": 24897, "loss": 0.7911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.462871912772382e-05, "epoch": 2.39, "percentage": 79.73, "elapsed_time": "9 days, 22:08:11", "remaining_time": "2 days, 12:32:52"} +{"current_steps": 19855, "total_steps": 24897, "loss": 0.8039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4562982547190824e-05, "epoch": 2.39, "percentage": 79.75, "elapsed_time": "9 days, 22:11:50", "remaining_time": "2 days, 12:29:17"} +{"current_steps": 19860, "total_steps": 24897, "loss": 0.7786, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.449730029515179e-05, "epoch": 2.39, "percentage": 79.77, "elapsed_time": "9 days, 22:15:29", "remaining_time": "2 days, 12:25:41"} +{"current_steps": 19865, "total_steps": 24897, "loss": 0.7672, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4431672402518955e-05, "epoch": 2.39, "percentage": 79.79, "elapsed_time": "9 days, 22:19:08", "remaining_time": "2 days, 12:22:06"} +{"current_steps": 19870, "total_steps": 24897, "loss": 0.8256, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.436609890017901e-05, "epoch": 2.39, "percentage": 79.81, "elapsed_time": "9 days, 22:22:46", "remaining_time": "2 days, 12:18:31"} +{"current_steps": 19875, "total_steps": 24897, "loss": 0.7221, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.430057981899298e-05, "epoch": 2.39, "percentage": 79.83, "elapsed_time": "9 days, 22:26:25", "remaining_time": "2 days, 12:14:56"} +{"current_steps": 19880, "total_steps": 24897, "loss": 0.7532, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4235115189796375e-05, "epoch": 2.4, "percentage": 79.85, "elapsed_time": "9 days, 22:30:04", "remaining_time": "2 days, 12:11:20"} +{"current_steps": 19885, "total_steps": 24897, "loss": 0.7365, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.416970504339897e-05, "epoch": 2.4, "percentage": 79.87, "elapsed_time": "9 days, 22:33:42", "remaining_time": "2 days, 12:07:45"} +{"current_steps": 19890, "total_steps": 24897, "loss": 0.8097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.410434941058495e-05, "epoch": 2.4, "percentage": 79.89, "elapsed_time": "9 days, 22:37:21", "remaining_time": "2 days, 12:04:10"} +{"current_steps": 19895, "total_steps": 24897, "loss": 0.7832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4039048322112917e-05, "epoch": 2.4, "percentage": 79.91, "elapsed_time": "9 days, 22:40:59", "remaining_time": "2 days, 12:00:35"} +{"current_steps": 19900, "total_steps": 24897, "loss": 0.7133, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3973801808715676e-05, "epoch": 2.4, "percentage": 79.93, "elapsed_time": "9 days, 22:44:38", "remaining_time": "2 days, 11:56:59"} +{"current_steps": 19905, "total_steps": 24897, "loss": 0.8309, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.390860990110042e-05, "epoch": 2.4, "percentage": 79.95, "elapsed_time": "9 days, 22:48:19", "remaining_time": "2 days, 11:53:25"} +{"current_steps": 19910, "total_steps": 24897, "loss": 0.7983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.384347262994858e-05, "epoch": 2.4, "percentage": 79.97, "elapsed_time": "9 days, 22:51:57", "remaining_time": "2 days, 11:49:49"} +{"current_steps": 19915, "total_steps": 24897, "loss": 0.84, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.377839002591599e-05, "epoch": 2.4, "percentage": 79.99, "elapsed_time": "9 days, 22:55:35", "remaining_time": "2 days, 11:46:14"} +{"current_steps": 19920, "total_steps": 24897, "loss": 0.7391, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.371336211963268e-05, "epoch": 2.4, "percentage": 80.01, "elapsed_time": "9 days, 22:59:13", "remaining_time": "2 days, 11:42:38"} +{"current_steps": 19925, "total_steps": 24897, "loss": 0.7765, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.364838894170289e-05, "epoch": 2.4, "percentage": 80.03, "elapsed_time": "9 days, 23:02:51", "remaining_time": "2 days, 11:39:03"} +{"current_steps": 19930, "total_steps": 24897, "loss": 0.7211, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.358347052270515e-05, "epoch": 2.4, "percentage": 80.05, "elapsed_time": "9 days, 23:06:30", "remaining_time": "2 days, 11:35:28"} +{"current_steps": 19935, "total_steps": 24897, "loss": 0.7079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.351860689319234e-05, "epoch": 2.4, "percentage": 80.07, "elapsed_time": "9 days, 23:10:07", "remaining_time": "2 days, 11:31:52"} +{"current_steps": 19940, "total_steps": 24897, "loss": 0.7023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.345379808369132e-05, "epoch": 2.4, "percentage": 80.09, "elapsed_time": "9 days, 23:13:46", "remaining_time": "2 days, 11:28:17"} +{"current_steps": 19945, "total_steps": 24897, "loss": 0.8274, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.338904412470328e-05, "epoch": 2.4, "percentage": 80.11, "elapsed_time": "9 days, 23:17:24", "remaining_time": "2 days, 11:24:41"} +{"current_steps": 19950, "total_steps": 24897, "loss": 0.821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.332434504670358e-05, "epoch": 2.4, "percentage": 80.13, "elapsed_time": "9 days, 23:21:01", "remaining_time": "2 days, 11:21:06"} +{"current_steps": 19955, "total_steps": 24897, "loss": 0.7403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3259700880141815e-05, "epoch": 2.4, "percentage": 80.15, "elapsed_time": "9 days, 23:24:39", "remaining_time": "2 days, 11:17:30"} +{"current_steps": 19960, "total_steps": 24897, "loss": 0.6459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.319511165544165e-05, "epoch": 2.4, "percentage": 80.17, "elapsed_time": "9 days, 23:28:17", "remaining_time": "2 days, 11:13:55"} +{"current_steps": 19965, "total_steps": 24897, "loss": 0.8414, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.313057740300089e-05, "epoch": 2.41, "percentage": 80.19, "elapsed_time": "9 days, 23:31:56", "remaining_time": "2 days, 11:10:20"} +{"current_steps": 19970, "total_steps": 24897, "loss": 0.7587, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.30660981531915e-05, "epoch": 2.41, "percentage": 80.21, "elapsed_time": "9 days, 23:35:37", "remaining_time": "2 days, 11:06:45"} +{"current_steps": 19975, "total_steps": 24897, "loss": 0.7535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3001673936359604e-05, "epoch": 2.41, "percentage": 80.23, "elapsed_time": "9 days, 23:39:17", "remaining_time": "2 days, 11:03:10"} +{"current_steps": 19980, "total_steps": 24897, "loss": 0.7106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.293730478282534e-05, "epoch": 2.41, "percentage": 80.25, "elapsed_time": "9 days, 23:42:57", "remaining_time": "2 days, 10:59:35"} +{"current_steps": 19985, "total_steps": 24897, "loss": 0.8252, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2872990722882984e-05, "epoch": 2.41, "percentage": 80.27, "elapsed_time": "9 days, 23:46:38", "remaining_time": "2 days, 10:56:00"} +{"current_steps": 19990, "total_steps": 24897, "loss": 0.7914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.280873178680082e-05, "epoch": 2.41, "percentage": 80.29, "elapsed_time": "9 days, 23:50:19", "remaining_time": "2 days, 10:52:26"} +{"current_steps": 19995, "total_steps": 24897, "loss": 0.7106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.274452800482133e-05, "epoch": 2.41, "percentage": 80.31, "elapsed_time": "9 days, 23:54:01", "remaining_time": "2 days, 10:48:51"} +{"current_steps": 20000, "total_steps": 24897, "loss": 0.7859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2680379407160886e-05, "epoch": 2.41, "percentage": 80.33, "elapsed_time": "9 days, 23:57:43", "remaining_time": "2 days, 10:45:16"} +{"current_steps": 20005, "total_steps": 24897, "loss": 0.7564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.261628602400995e-05, "epoch": 2.41, "percentage": 80.35, "elapsed_time": "10 days, 0:01:27", "remaining_time": "2 days, 10:41:42"} +{"current_steps": 20010, "total_steps": 24897, "loss": 0.8016, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2552247885533005e-05, "epoch": 2.41, "percentage": 80.37, "elapsed_time": "10 days, 0:05:09", "remaining_time": "2 days, 10:38:08"} +{"current_steps": 20015, "total_steps": 24897, "loss": 0.8589, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.248826502186854e-05, "epoch": 2.41, "percentage": 80.39, "elapsed_time": "10 days, 0:08:51", "remaining_time": "2 days, 10:34:34"} +{"current_steps": 20020, "total_steps": 24897, "loss": 0.8336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.242433746312899e-05, "epoch": 2.41, "percentage": 80.41, "elapsed_time": "10 days, 0:12:33", "remaining_time": "2 days, 10:30:59"} +{"current_steps": 20025, "total_steps": 24897, "loss": 0.6869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.23604652394008e-05, "epoch": 2.41, "percentage": 80.43, "elapsed_time": "10 days, 0:16:16", "remaining_time": "2 days, 10:27:25"} +{"current_steps": 20030, "total_steps": 24897, "loss": 0.9043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.229664838074431e-05, "epoch": 2.41, "percentage": 80.45, "elapsed_time": "10 days, 0:20:00", "remaining_time": "2 days, 10:23:51"} +{"current_steps": 20035, "total_steps": 24897, "loss": 0.7494, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.223288691719394e-05, "epoch": 2.41, "percentage": 80.47, "elapsed_time": "10 days, 0:23:42", "remaining_time": "2 days, 10:20:16"} +{"current_steps": 20040, "total_steps": 24897, "loss": 0.7913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.216918087875792e-05, "epoch": 2.41, "percentage": 80.49, "elapsed_time": "10 days, 0:27:25", "remaining_time": "2 days, 10:16:42"} +{"current_steps": 20045, "total_steps": 24897, "loss": 0.7151, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.21055302954184e-05, "epoch": 2.42, "percentage": 80.51, "elapsed_time": "10 days, 0:31:08", "remaining_time": "2 days, 10:13:08"} +{"current_steps": 20050, "total_steps": 24897, "loss": 0.7635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.204193519713146e-05, "epoch": 2.42, "percentage": 80.53, "elapsed_time": "10 days, 0:34:51", "remaining_time": "2 days, 10:09:33"} +{"current_steps": 20055, "total_steps": 24897, "loss": 0.8376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.197839561382711e-05, "epoch": 2.42, "percentage": 80.55, "elapsed_time": "10 days, 0:38:34", "remaining_time": "2 days, 10:05:59"} +{"current_steps": 20060, "total_steps": 24897, "loss": 0.707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1914911575409165e-05, "epoch": 2.42, "percentage": 80.57, "elapsed_time": "10 days, 0:42:17", "remaining_time": "2 days, 10:02:25"} +{"current_steps": 20065, "total_steps": 24897, "loss": 0.8975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1851483111755276e-05, "epoch": 2.42, "percentage": 80.59, "elapsed_time": "10 days, 0:46:00", "remaining_time": "2 days, 9:58:50"} +{"current_steps": 20070, "total_steps": 24897, "loss": 0.787, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.178811025271705e-05, "epoch": 2.42, "percentage": 80.61, "elapsed_time": "10 days, 0:49:43", "remaining_time": "2 days, 9:55:16"} +{"current_steps": 20075, "total_steps": 24897, "loss": 0.6818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1724793028119846e-05, "epoch": 2.42, "percentage": 80.63, "elapsed_time": "10 days, 0:53:26", "remaining_time": "2 days, 9:51:42"} +{"current_steps": 20080, "total_steps": 24897, "loss": 0.6406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1661531467762866e-05, "epoch": 2.42, "percentage": 80.65, "elapsed_time": "10 days, 0:57:09", "remaining_time": "2 days, 9:48:08"} +{"current_steps": 20085, "total_steps": 24897, "loss": 0.8038, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.159832560141904e-05, "epoch": 2.42, "percentage": 80.67, "elapsed_time": "10 days, 1:00:53", "remaining_time": "2 days, 9:44:34"} +{"current_steps": 20090, "total_steps": 24897, "loss": 0.8043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.15351754588352e-05, "epoch": 2.42, "percentage": 80.69, "elapsed_time": "10 days, 1:04:38", "remaining_time": "2 days, 9:41:00"} +{"current_steps": 20095, "total_steps": 24897, "loss": 0.8588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.147208106973189e-05, "epoch": 2.42, "percentage": 80.71, "elapsed_time": "10 days, 1:08:22", "remaining_time": "2 days, 9:37:26"} +{"current_steps": 20100, "total_steps": 24897, "loss": 0.7485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1409042463803406e-05, "epoch": 2.42, "percentage": 80.73, "elapsed_time": "10 days, 1:12:06", "remaining_time": "2 days, 9:33:52"} +{"current_steps": 20105, "total_steps": 24897, "loss": 0.8514, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1346059670717783e-05, "epoch": 2.42, "percentage": 80.75, "elapsed_time": "10 days, 1:15:51", "remaining_time": "2 days, 9:30:18"} +{"current_steps": 20110, "total_steps": 24897, "loss": 0.7401, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.12831327201169e-05, "epoch": 2.42, "percentage": 80.77, "elapsed_time": "10 days, 1:19:35", "remaining_time": "2 days, 9:26:43"} +{"current_steps": 20115, "total_steps": 24897, "loss": 0.6958, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1220261641616226e-05, "epoch": 2.42, "percentage": 80.79, "elapsed_time": "10 days, 1:23:18", "remaining_time": "2 days, 9:23:09"} +{"current_steps": 20120, "total_steps": 24897, "loss": 0.824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1157446464804966e-05, "epoch": 2.42, "percentage": 80.81, "elapsed_time": "10 days, 1:27:01", "remaining_time": "2 days, 9:19:35"} +{"current_steps": 20125, "total_steps": 24897, "loss": 0.8486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1094687219246025e-05, "epoch": 2.42, "percentage": 80.83, "elapsed_time": "10 days, 1:30:44", "remaining_time": "2 days, 9:16:01"} +{"current_steps": 20130, "total_steps": 24897, "loss": 0.8293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.103198393447601e-05, "epoch": 2.43, "percentage": 80.85, "elapsed_time": "10 days, 1:34:27", "remaining_time": "2 days, 9:12:26"} +{"current_steps": 20135, "total_steps": 24897, "loss": 0.8403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.096933664000518e-05, "epoch": 2.43, "percentage": 80.87, "elapsed_time": "10 days, 1:38:11", "remaining_time": "2 days, 9:08:52"} +{"current_steps": 20140, "total_steps": 24897, "loss": 0.7535, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.090674536531741e-05, "epoch": 2.43, "percentage": 80.89, "elapsed_time": "10 days, 1:41:55", "remaining_time": "2 days, 9:05:18"} +{"current_steps": 20145, "total_steps": 24897, "loss": 0.7952, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.084421013987023e-05, "epoch": 2.43, "percentage": 80.91, "elapsed_time": "10 days, 1:45:38", "remaining_time": "2 days, 9:01:43"} +{"current_steps": 20150, "total_steps": 24897, "loss": 0.7537, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.07817309930948e-05, "epoch": 2.43, "percentage": 80.93, "elapsed_time": "10 days, 1:49:21", "remaining_time": "2 days, 8:58:09"} +{"current_steps": 20155, "total_steps": 24897, "loss": 0.8457, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0719307954395886e-05, "epoch": 2.43, "percentage": 80.95, "elapsed_time": "10 days, 1:53:05", "remaining_time": "2 days, 8:54:35"} +{"current_steps": 20160, "total_steps": 24897, "loss": 0.7313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0656941053151846e-05, "epoch": 2.43, "percentage": 80.97, "elapsed_time": "10 days, 1:56:48", "remaining_time": "2 days, 8:51:01"} +{"current_steps": 20165, "total_steps": 24897, "loss": 0.7813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.059463031871456e-05, "epoch": 2.43, "percentage": 80.99, "elapsed_time": "10 days, 2:00:32", "remaining_time": "2 days, 8:47:26"} +{"current_steps": 20170, "total_steps": 24897, "loss": 0.768, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.05323757804096e-05, "epoch": 2.43, "percentage": 81.01, "elapsed_time": "10 days, 2:04:16", "remaining_time": "2 days, 8:43:52"} +{"current_steps": 20175, "total_steps": 24897, "loss": 0.7901, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0470177467536006e-05, "epoch": 2.43, "percentage": 81.03, "elapsed_time": "10 days, 2:08:00", "remaining_time": "2 days, 8:40:18"} +{"current_steps": 20180, "total_steps": 24897, "loss": 0.8789, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.040803540936637e-05, "epoch": 2.43, "percentage": 81.05, "elapsed_time": "10 days, 2:11:43", "remaining_time": "2 days, 8:36:44"} +{"current_steps": 20185, "total_steps": 24897, "loss": 0.8176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.034594963514674e-05, "epoch": 2.43, "percentage": 81.07, "elapsed_time": "10 days, 2:15:27", "remaining_time": "2 days, 8:33:09"} +{"current_steps": 20190, "total_steps": 24897, "loss": 0.7612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.028392017409685e-05, "epoch": 2.43, "percentage": 81.09, "elapsed_time": "10 days, 2:19:10", "remaining_time": "2 days, 8:29:35"} +{"current_steps": 20195, "total_steps": 24897, "loss": 0.7512, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0221947055409766e-05, "epoch": 2.43, "percentage": 81.11, "elapsed_time": "10 days, 2:22:54", "remaining_time": "2 days, 8:26:01"} +{"current_steps": 20200, "total_steps": 24897, "loss": 0.8479, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0160030308252113e-05, "epoch": 2.43, "percentage": 81.13, "elapsed_time": "10 days, 2:26:37", "remaining_time": "2 days, 8:22:26"} +{"current_steps": 20205, "total_steps": 24897, "loss": 0.8396, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0098169961763913e-05, "epoch": 2.43, "percentage": 81.15, "elapsed_time": "10 days, 2:30:23", "remaining_time": "2 days, 8:18:53"} +{"current_steps": 20210, "total_steps": 24897, "loss": 0.7215, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.003636604505879e-05, "epoch": 2.44, "percentage": 81.17, "elapsed_time": "10 days, 2:34:07", "remaining_time": "2 days, 8:15:19"} +{"current_steps": 20215, "total_steps": 24897, "loss": 0.8251, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9974618587223665e-05, "epoch": 2.44, "percentage": 81.19, "elapsed_time": "10 days, 2:37:51", "remaining_time": "2 days, 8:11:44"} +{"current_steps": 20220, "total_steps": 24897, "loss": 0.7686, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.991292761731897e-05, "epoch": 2.44, "percentage": 81.21, "elapsed_time": "10 days, 2:41:34", "remaining_time": "2 days, 8:08:10"} +{"current_steps": 20225, "total_steps": 24897, "loss": 0.8349, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9851293164378488e-05, "epoch": 2.44, "percentage": 81.23, "elapsed_time": "10 days, 2:45:17", "remaining_time": "2 days, 8:04:36"} +{"current_steps": 20230, "total_steps": 24897, "loss": 0.7816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9789715257409475e-05, "epoch": 2.44, "percentage": 81.25, "elapsed_time": "10 days, 2:49:01", "remaining_time": "2 days, 8:01:01"} +{"current_steps": 20235, "total_steps": 24897, "loss": 0.8013, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9728193925392502e-05, "epoch": 2.44, "percentage": 81.27, "elapsed_time": "10 days, 2:52:44", "remaining_time": "2 days, 7:57:27"} +{"current_steps": 20240, "total_steps": 24897, "loss": 0.7782, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.966672919728159e-05, "epoch": 2.44, "percentage": 81.29, "elapsed_time": "10 days, 2:56:28", "remaining_time": "2 days, 7:53:53"} +{"current_steps": 20245, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.960532110200402e-05, "epoch": 2.44, "percentage": 81.32, "elapsed_time": "10 days, 3:00:12", "remaining_time": "2 days, 7:50:18"} +{"current_steps": 20250, "total_steps": 24897, "loss": 0.7706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9543969668460556e-05, "epoch": 2.44, "percentage": 81.34, "elapsed_time": "10 days, 3:03:56", "remaining_time": "2 days, 7:46:44"} +{"current_steps": 20255, "total_steps": 24897, "loss": 0.8125, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.948267492552518e-05, "epoch": 2.44, "percentage": 81.36, "elapsed_time": "10 days, 3:07:39", "remaining_time": "2 days, 7:43:10"} +{"current_steps": 20260, "total_steps": 24897, "loss": 0.8254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9421436902045255e-05, "epoch": 2.44, "percentage": 81.38, "elapsed_time": "10 days, 3:11:23", "remaining_time": "2 days, 7:39:35"} +{"current_steps": 20265, "total_steps": 24897, "loss": 0.731, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9360255626841374e-05, "epoch": 2.44, "percentage": 81.4, "elapsed_time": "10 days, 3:15:07", "remaining_time": "2 days, 7:36:01"} +{"current_steps": 20270, "total_steps": 24897, "loss": 0.7235, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9299131128707537e-05, "epoch": 2.44, "percentage": 81.42, "elapsed_time": "10 days, 3:18:50", "remaining_time": "2 days, 7:32:27"} +{"current_steps": 20275, "total_steps": 24897, "loss": 0.8012, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.923806343641097e-05, "epoch": 2.44, "percentage": 81.44, "elapsed_time": "10 days, 3:22:34", "remaining_time": "2 days, 7:28:52"} +{"current_steps": 20280, "total_steps": 24897, "loss": 0.7519, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.917705257869211e-05, "epoch": 2.44, "percentage": 81.46, "elapsed_time": "10 days, 3:26:18", "remaining_time": "2 days, 7:25:18"} +{"current_steps": 20285, "total_steps": 24897, "loss": 0.8297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.911609858426468e-05, "epoch": 2.44, "percentage": 81.48, "elapsed_time": "10 days, 3:30:02", "remaining_time": "2 days, 7:21:44"} +{"current_steps": 20290, "total_steps": 24897, "loss": 0.8341, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9055201481815727e-05, "epoch": 2.44, "percentage": 81.5, "elapsed_time": "10 days, 3:33:45", "remaining_time": "2 days, 7:18:10"} +{"current_steps": 20295, "total_steps": 24897, "loss": 0.6976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8994361300005407e-05, "epoch": 2.45, "percentage": 81.52, "elapsed_time": "10 days, 3:37:29", "remaining_time": "2 days, 7:14:35"} +{"current_steps": 20300, "total_steps": 24897, "loss": 0.846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8933578067467123e-05, "epoch": 2.45, "percentage": 81.54, "elapsed_time": "10 days, 3:41:13", "remaining_time": "2 days, 7:11:01"} +{"current_steps": 20305, "total_steps": 24897, "loss": 0.7309, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8872851812807502e-05, "epoch": 2.45, "percentage": 81.56, "elapsed_time": "10 days, 3:45:00", "remaining_time": "2 days, 7:07:27"} +{"current_steps": 20310, "total_steps": 24897, "loss": 0.7782, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8812182564606334e-05, "epoch": 2.45, "percentage": 81.58, "elapsed_time": "10 days, 3:48:44", "remaining_time": "2 days, 7:03:53"} +{"current_steps": 20315, "total_steps": 24897, "loss": 0.6678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8751570351416564e-05, "epoch": 2.45, "percentage": 81.6, "elapsed_time": "10 days, 3:52:28", "remaining_time": "2 days, 7:00:19"} +{"current_steps": 20320, "total_steps": 24897, "loss": 0.7504, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8691015201764323e-05, "epoch": 2.45, "percentage": 81.62, "elapsed_time": "10 days, 3:56:12", "remaining_time": "2 days, 6:56:44"} +{"current_steps": 20325, "total_steps": 24897, "loss": 0.7577, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.863051714414883e-05, "epoch": 2.45, "percentage": 81.64, "elapsed_time": "10 days, 3:59:55", "remaining_time": "2 days, 6:53:10"} +{"current_steps": 20330, "total_steps": 24897, "loss": 0.7865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8570076207042574e-05, "epoch": 2.45, "percentage": 81.66, "elapsed_time": "10 days, 4:03:39", "remaining_time": "2 days, 6:49:36"} +{"current_steps": 20335, "total_steps": 24897, "loss": 0.7961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8509692418891024e-05, "epoch": 2.45, "percentage": 81.68, "elapsed_time": "10 days, 4:07:22", "remaining_time": "2 days, 6:46:01"} +{"current_steps": 20340, "total_steps": 24897, "loss": 0.7063, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8449365808112773e-05, "epoch": 2.45, "percentage": 81.7, "elapsed_time": "10 days, 4:11:06", "remaining_time": "2 days, 6:42:27"} +{"current_steps": 20345, "total_steps": 24897, "loss": 0.8939, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8389096403099515e-05, "epoch": 2.45, "percentage": 81.72, "elapsed_time": "10 days, 4:14:50", "remaining_time": "2 days, 6:38:52"} +{"current_steps": 20350, "total_steps": 24897, "loss": 0.803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.832888423221611e-05, "epoch": 2.45, "percentage": 81.74, "elapsed_time": "10 days, 4:18:34", "remaining_time": "2 days, 6:35:18"} +{"current_steps": 20355, "total_steps": 24897, "loss": 0.8347, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.826872932380034e-05, "epoch": 2.45, "percentage": 81.76, "elapsed_time": "10 days, 4:22:18", "remaining_time": "2 days, 6:31:44"} +{"current_steps": 20360, "total_steps": 24897, "loss": 0.7662, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.820863170616312e-05, "epoch": 2.45, "percentage": 81.78, "elapsed_time": "10 days, 4:26:02", "remaining_time": "2 days, 6:28:09"} +{"current_steps": 20365, "total_steps": 24897, "loss": 0.8332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.81485914075884e-05, "epoch": 2.45, "percentage": 81.8, "elapsed_time": "10 days, 4:29:46", "remaining_time": "2 days, 6:24:35"} +{"current_steps": 20370, "total_steps": 24897, "loss": 0.7865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.808860845633312e-05, "epoch": 2.45, "percentage": 81.82, "elapsed_time": "10 days, 4:33:30", "remaining_time": "2 days, 6:21:01"} +{"current_steps": 20375, "total_steps": 24897, "loss": 0.7955, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8028682880627255e-05, "epoch": 2.45, "percentage": 81.84, "elapsed_time": "10 days, 4:37:13", "remaining_time": "2 days, 6:17:26"} +{"current_steps": 20380, "total_steps": 24897, "loss": 0.8322, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7968814708673758e-05, "epoch": 2.46, "percentage": 81.86, "elapsed_time": "10 days, 4:40:56", "remaining_time": "2 days, 6:13:52"} +{"current_steps": 20385, "total_steps": 24897, "loss": 0.8729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7909003968648557e-05, "epoch": 2.46, "percentage": 81.88, "elapsed_time": "10 days, 4:44:40", "remaining_time": "2 days, 6:10:17"} +{"current_steps": 20390, "total_steps": 24897, "loss": 0.7828, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7849250688700637e-05, "epoch": 2.46, "percentage": 81.9, "elapsed_time": "10 days, 4:48:25", "remaining_time": "2 days, 6:06:43"} +{"current_steps": 20395, "total_steps": 24897, "loss": 0.7481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7789554896951865e-05, "epoch": 2.46, "percentage": 81.92, "elapsed_time": "10 days, 4:52:08", "remaining_time": "2 days, 6:03:09"} +{"current_steps": 20400, "total_steps": 24897, "loss": 0.9109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7729916621497022e-05, "epoch": 2.46, "percentage": 81.94, "elapsed_time": "10 days, 4:55:52", "remaining_time": "2 days, 5:59:34"} +{"current_steps": 20405, "total_steps": 24897, "loss": 0.7711, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7670335890403837e-05, "epoch": 2.46, "percentage": 81.96, "elapsed_time": "10 days, 4:59:39", "remaining_time": "2 days, 5:56:00"} +{"current_steps": 20410, "total_steps": 24897, "loss": 0.8384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7610812731713084e-05, "epoch": 2.46, "percentage": 81.98, "elapsed_time": "10 days, 5:03:24", "remaining_time": "2 days, 5:52:26"} +{"current_steps": 20415, "total_steps": 24897, "loss": 0.7424, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7551347173438267e-05, "epoch": 2.46, "percentage": 82.0, "elapsed_time": "10 days, 5:07:08", "remaining_time": "2 days, 5:48:52"} +{"current_steps": 20420, "total_steps": 24897, "loss": 0.813, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7491939243565862e-05, "epoch": 2.46, "percentage": 82.02, "elapsed_time": "10 days, 5:10:52", "remaining_time": "2 days, 5:45:17"} +{"current_steps": 20425, "total_steps": 24897, "loss": 0.8065, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7432588970055182e-05, "epoch": 2.46, "percentage": 82.04, "elapsed_time": "10 days, 5:14:36", "remaining_time": "2 days, 5:41:43"} +{"current_steps": 20430, "total_steps": 24897, "loss": 0.7532, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7373296380838505e-05, "epoch": 2.46, "percentage": 82.06, "elapsed_time": "10 days, 5:18:19", "remaining_time": "2 days, 5:38:08"} +{"current_steps": 20435, "total_steps": 24897, "loss": 0.7811, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7314061503820865e-05, "epoch": 2.46, "percentage": 82.08, "elapsed_time": "10 days, 5:22:03", "remaining_time": "2 days, 5:34:34"} +{"current_steps": 20440, "total_steps": 24897, "loss": 0.7961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7254884366880146e-05, "epoch": 2.46, "percentage": 82.1, "elapsed_time": "10 days, 5:25:47", "remaining_time": "2 days, 5:31:00"} +{"current_steps": 20445, "total_steps": 24897, "loss": 0.9115, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7195764997867085e-05, "epoch": 2.46, "percentage": 82.12, "elapsed_time": "10 days, 5:29:31", "remaining_time": "2 days, 5:27:25"} +{"current_steps": 20450, "total_steps": 24897, "loss": 0.8635, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7136703424605228e-05, "epoch": 2.46, "percentage": 82.14, "elapsed_time": "10 days, 5:33:15", "remaining_time": "2 days, 5:23:51"} +{"current_steps": 20455, "total_steps": 24897, "loss": 0.7459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7077699674890903e-05, "epoch": 2.46, "percentage": 82.16, "elapsed_time": "10 days, 5:36:58", "remaining_time": "2 days, 5:20:16"} +{"current_steps": 20460, "total_steps": 24897, "loss": 0.8325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7018753776493213e-05, "epoch": 2.47, "percentage": 82.18, "elapsed_time": "10 days, 5:40:43", "remaining_time": "2 days, 5:16:42"} +{"current_steps": 20465, "total_steps": 24897, "loss": 0.722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6959865757154054e-05, "epoch": 2.47, "percentage": 82.2, "elapsed_time": "10 days, 5:44:26", "remaining_time": "2 days, 5:13:07"} +{"current_steps": 20470, "total_steps": 24897, "loss": 0.8077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6901035644588154e-05, "epoch": 2.47, "percentage": 82.22, "elapsed_time": "10 days, 5:48:10", "remaining_time": "2 days, 5:09:33"} +{"current_steps": 20475, "total_steps": 24897, "loss": 0.6966, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.684226346648285e-05, "epoch": 2.47, "percentage": 82.24, "elapsed_time": "10 days, 5:51:54", "remaining_time": "2 days, 5:05:58"} +{"current_steps": 20480, "total_steps": 24897, "loss": 0.6975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6783549250498315e-05, "epoch": 2.47, "percentage": 82.26, "elapsed_time": "10 days, 5:55:38", "remaining_time": "2 days, 5:02:24"} +{"current_steps": 20485, "total_steps": 24897, "loss": 0.8694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6724893024267348e-05, "epoch": 2.47, "percentage": 82.28, "elapsed_time": "10 days, 5:59:22", "remaining_time": "2 days, 4:58:49"} +{"current_steps": 20490, "total_steps": 24897, "loss": 0.7117, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6666294815395612e-05, "epoch": 2.47, "percentage": 82.3, "elapsed_time": "10 days, 6:03:06", "remaining_time": "2 days, 4:55:15"} +{"current_steps": 20495, "total_steps": 24897, "loss": 0.7437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6607754651461317e-05, "epoch": 2.47, "percentage": 82.32, "elapsed_time": "10 days, 6:06:50", "remaining_time": "2 days, 4:51:40"} +{"current_steps": 20500, "total_steps": 24897, "loss": 0.7764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6549272560015406e-05, "epoch": 2.47, "percentage": 82.34, "elapsed_time": "10 days, 6:10:33", "remaining_time": "2 days, 4:48:06"} +{"current_steps": 20505, "total_steps": 24897, "loss": 0.7501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6490848568581462e-05, "epoch": 2.47, "percentage": 82.36, "elapsed_time": "10 days, 6:14:24", "remaining_time": "2 days, 4:44:33"} +{"current_steps": 20510, "total_steps": 24897, "loss": 0.8158, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6432482704655845e-05, "epoch": 2.47, "percentage": 82.38, "elapsed_time": "10 days, 6:18:08", "remaining_time": "2 days, 4:40:58"} +{"current_steps": 20515, "total_steps": 24897, "loss": 0.7489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.637417499570741e-05, "epoch": 2.47, "percentage": 82.4, "elapsed_time": "10 days, 6:21:52", "remaining_time": "2 days, 4:37:24"} +{"current_steps": 20520, "total_steps": 24897, "loss": 0.8378, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.631592546917774e-05, "epoch": 2.47, "percentage": 82.42, "elapsed_time": "10 days, 6:25:36", "remaining_time": "2 days, 4:33:49"} +{"current_steps": 20525, "total_steps": 24897, "loss": 0.7904, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6257734152480893e-05, "epoch": 2.47, "percentage": 82.44, "elapsed_time": "10 days, 6:29:20", "remaining_time": "2 days, 4:30:15"} +{"current_steps": 20530, "total_steps": 24897, "loss": 0.7423, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.619960107300374e-05, "epoch": 2.47, "percentage": 82.46, "elapsed_time": "10 days, 6:33:04", "remaining_time": "2 days, 4:26:40"} +{"current_steps": 20535, "total_steps": 24897, "loss": 0.7046, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6141526258105615e-05, "epoch": 2.47, "percentage": 82.48, "elapsed_time": "10 days, 6:36:48", "remaining_time": "2 days, 4:23:06"} +{"current_steps": 20540, "total_steps": 24897, "loss": 0.8206, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.608350973511844e-05, "epoch": 2.47, "percentage": 82.5, "elapsed_time": "10 days, 6:40:33", "remaining_time": "2 days, 4:19:32"} +{"current_steps": 20545, "total_steps": 24897, "loss": 0.7434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6025551531346688e-05, "epoch": 2.48, "percentage": 82.52, "elapsed_time": "10 days, 6:44:16", "remaining_time": "2 days, 4:15:57"} +{"current_steps": 20550, "total_steps": 24897, "loss": 0.7841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5967651674067493e-05, "epoch": 2.48, "percentage": 82.54, "elapsed_time": "10 days, 6:47:59", "remaining_time": "2 days, 4:12:22"} +{"current_steps": 20555, "total_steps": 24897, "loss": 0.7924, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.59098101905304e-05, "epoch": 2.48, "percentage": 82.56, "elapsed_time": "10 days, 6:51:42", "remaining_time": "2 days, 4:08:47"} +{"current_steps": 20560, "total_steps": 24897, "loss": 0.7533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.585202710795754e-05, "epoch": 2.48, "percentage": 82.58, "elapsed_time": "10 days, 6:55:27", "remaining_time": "2 days, 4:05:13"} +{"current_steps": 20565, "total_steps": 24897, "loss": 0.8201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5794302453543524e-05, "epoch": 2.48, "percentage": 82.6, "elapsed_time": "10 days, 6:59:11", "remaining_time": "2 days, 4:01:39"} +{"current_steps": 20570, "total_steps": 24897, "loss": 0.8067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.573663625445554e-05, "epoch": 2.48, "percentage": 82.62, "elapsed_time": "10 days, 7:02:55", "remaining_time": "2 days, 3:58:04"} +{"current_steps": 20575, "total_steps": 24897, "loss": 0.8313, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.567902853783319e-05, "epoch": 2.48, "percentage": 82.64, "elapsed_time": "10 days, 7:06:39", "remaining_time": "2 days, 3:54:29"} +{"current_steps": 20580, "total_steps": 24897, "loss": 0.8097, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.562147933078859e-05, "epoch": 2.48, "percentage": 82.66, "elapsed_time": "10 days, 7:10:23", "remaining_time": "2 days, 3:50:55"} +{"current_steps": 20585, "total_steps": 24897, "loss": 0.8703, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.556398866040631e-05, "epoch": 2.48, "percentage": 82.68, "elapsed_time": "10 days, 7:14:07", "remaining_time": "2 days, 3:47:20"} +{"current_steps": 20590, "total_steps": 24897, "loss": 0.8317, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5506556553743334e-05, "epoch": 2.48, "percentage": 82.7, "elapsed_time": "10 days, 7:17:50", "remaining_time": "2 days, 3:43:46"} +{"current_steps": 20595, "total_steps": 24897, "loss": 0.8315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5449183037829163e-05, "epoch": 2.48, "percentage": 82.72, "elapsed_time": "10 days, 7:21:35", "remaining_time": "2 days, 3:40:11"} +{"current_steps": 20600, "total_steps": 24897, "loss": 0.8539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5391868139665612e-05, "epoch": 2.48, "percentage": 82.74, "elapsed_time": "10 days, 7:25:18", "remaining_time": "2 days, 3:36:36"} +{"current_steps": 20605, "total_steps": 24897, "loss": 0.7489, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.533461188622707e-05, "epoch": 2.48, "percentage": 82.76, "elapsed_time": "10 days, 7:29:09", "remaining_time": "2 days, 3:33:03"} +{"current_steps": 20610, "total_steps": 24897, "loss": 0.7674, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.527741430446018e-05, "epoch": 2.48, "percentage": 82.78, "elapsed_time": "10 days, 7:32:54", "remaining_time": "2 days, 3:29:29"} +{"current_steps": 20615, "total_steps": 24897, "loss": 0.7342, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5220275421284015e-05, "epoch": 2.48, "percentage": 82.8, "elapsed_time": "10 days, 7:36:38", "remaining_time": "2 days, 3:25:54"} +{"current_steps": 20620, "total_steps": 24897, "loss": 0.7506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5163195263590026e-05, "epoch": 2.48, "percentage": 82.82, "elapsed_time": "10 days, 7:40:21", "remaining_time": "2 days, 3:22:20"} +{"current_steps": 20625, "total_steps": 24897, "loss": 0.7999, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5106173858242073e-05, "epoch": 2.49, "percentage": 82.84, "elapsed_time": "10 days, 7:44:05", "remaining_time": "2 days, 3:18:45"} +{"current_steps": 20630, "total_steps": 24897, "loss": 0.8253, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5049211232076295e-05, "epoch": 2.49, "percentage": 82.86, "elapsed_time": "10 days, 7:47:50", "remaining_time": "2 days, 3:15:11"} +{"current_steps": 20635, "total_steps": 24897, "loss": 0.8581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.499230741190121e-05, "epoch": 2.49, "percentage": 82.88, "elapsed_time": "10 days, 7:51:34", "remaining_time": "2 days, 3:11:36"} +{"current_steps": 20640, "total_steps": 24897, "loss": 0.7793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4935462424497576e-05, "epoch": 2.49, "percentage": 82.9, "elapsed_time": "10 days, 7:55:19", "remaining_time": "2 days, 3:08:02"} +{"current_steps": 20645, "total_steps": 24897, "loss": 0.7587, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.487867629661865e-05, "epoch": 2.49, "percentage": 82.92, "elapsed_time": "10 days, 7:59:02", "remaining_time": "2 days, 3:04:27"} +{"current_steps": 20650, "total_steps": 24897, "loss": 0.7551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4821949054989797e-05, "epoch": 2.49, "percentage": 82.94, "elapsed_time": "10 days, 8:02:45", "remaining_time": "2 days, 3:00:52"} +{"current_steps": 20655, "total_steps": 24897, "loss": 0.7448, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.476528072630875e-05, "epoch": 2.49, "percentage": 82.96, "elapsed_time": "10 days, 8:06:30", "remaining_time": "2 days, 2:57:18"} +{"current_steps": 20660, "total_steps": 24897, "loss": 0.7374, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.470867133724552e-05, "epoch": 2.49, "percentage": 82.98, "elapsed_time": "10 days, 8:10:14", "remaining_time": "2 days, 2:53:43"} +{"current_steps": 20665, "total_steps": 24897, "loss": 0.8323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4652120914442352e-05, "epoch": 2.49, "percentage": 83.0, "elapsed_time": "10 days, 8:13:58", "remaining_time": "2 days, 2:50:08"} +{"current_steps": 20670, "total_steps": 24897, "loss": 0.7135, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.459562948451375e-05, "epoch": 2.49, "percentage": 83.02, "elapsed_time": "10 days, 8:17:42", "remaining_time": "2 days, 2:46:34"} +{"current_steps": 20675, "total_steps": 24897, "loss": 0.7752, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4539197074046467e-05, "epoch": 2.49, "percentage": 83.04, "elapsed_time": "10 days, 8:21:26", "remaining_time": "2 days, 2:42:59"} +{"current_steps": 20680, "total_steps": 24897, "loss": 0.7853, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.448282370959944e-05, "epoch": 2.49, "percentage": 83.06, "elapsed_time": "10 days, 8:25:10", "remaining_time": "2 days, 2:39:24"} +{"current_steps": 20685, "total_steps": 24897, "loss": 0.8027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.44265094177039e-05, "epoch": 2.49, "percentage": 83.08, "elapsed_time": "10 days, 8:28:55", "remaining_time": "2 days, 2:35:50"} +{"current_steps": 20690, "total_steps": 24897, "loss": 0.7059, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.437025422486319e-05, "epoch": 2.49, "percentage": 83.1, "elapsed_time": "10 days, 8:32:39", "remaining_time": "2 days, 2:32:15"} +{"current_steps": 20695, "total_steps": 24897, "loss": 0.7975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4314058157552885e-05, "epoch": 2.49, "percentage": 83.12, "elapsed_time": "10 days, 8:36:23", "remaining_time": "2 days, 2:28:41"} +{"current_steps": 20700, "total_steps": 24897, "loss": 0.751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4257921242220663e-05, "epoch": 2.49, "percentage": 83.14, "elapsed_time": "10 days, 8:40:08", "remaining_time": "2 days, 2:25:06"} +{"current_steps": 20705, "total_steps": 24897, "loss": 0.8622, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4201843505286507e-05, "epoch": 2.49, "percentage": 83.16, "elapsed_time": "10 days, 8:43:56", "remaining_time": "2 days, 2:21:32"} +{"current_steps": 20710, "total_steps": 24897, "loss": 0.6663, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4145824973142435e-05, "epoch": 2.5, "percentage": 83.18, "elapsed_time": "10 days, 8:47:41", "remaining_time": "2 days, 2:17:58"} +{"current_steps": 20715, "total_steps": 24897, "loss": 0.759, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4089865672152613e-05, "epoch": 2.5, "percentage": 83.2, "elapsed_time": "10 days, 8:51:25", "remaining_time": "2 days, 2:14:23"} +{"current_steps": 20720, "total_steps": 24897, "loss": 0.8327, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4033965628653323e-05, "epoch": 2.5, "percentage": 83.22, "elapsed_time": "10 days, 8:55:09", "remaining_time": "2 days, 2:10:49"} +{"current_steps": 20725, "total_steps": 24897, "loss": 0.7935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3978124868953037e-05, "epoch": 2.5, "percentage": 83.24, "elapsed_time": "10 days, 8:58:54", "remaining_time": "2 days, 2:07:14"} +{"current_steps": 20730, "total_steps": 24897, "loss": 0.7799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3922343419332247e-05, "epoch": 2.5, "percentage": 83.26, "elapsed_time": "10 days, 9:02:37", "remaining_time": "2 days, 2:03:39"} +{"current_steps": 20735, "total_steps": 24897, "loss": 0.7378, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.386662130604359e-05, "epoch": 2.5, "percentage": 83.28, "elapsed_time": "10 days, 9:06:22", "remaining_time": "2 days, 2:00:05"} +{"current_steps": 20740, "total_steps": 24897, "loss": 0.7067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3810958555311647e-05, "epoch": 2.5, "percentage": 83.3, "elapsed_time": "10 days, 9:10:07", "remaining_time": "2 days, 1:56:30"} +{"current_steps": 20745, "total_steps": 24897, "loss": 0.6404, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.375535519333324e-05, "epoch": 2.5, "percentage": 83.32, "elapsed_time": "10 days, 9:13:50", "remaining_time": "2 days, 1:52:55"} +{"current_steps": 20750, "total_steps": 24897, "loss": 0.7035, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3699811246277133e-05, "epoch": 2.5, "percentage": 83.34, "elapsed_time": "10 days, 9:17:35", "remaining_time": "2 days, 1:49:21"} +{"current_steps": 20755, "total_steps": 24897, "loss": 0.8621, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3644326740284147e-05, "epoch": 2.5, "percentage": 83.36, "elapsed_time": "10 days, 9:21:19", "remaining_time": "2 days, 1:45:46"} +{"current_steps": 20760, "total_steps": 24897, "loss": 0.7073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.358890170146711e-05, "epoch": 2.5, "percentage": 83.38, "elapsed_time": "10 days, 9:25:03", "remaining_time": "2 days, 1:42:11"} +{"current_steps": 20765, "total_steps": 24897, "loss": 0.7371, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.353353615591096e-05, "epoch": 2.5, "percentage": 83.4, "elapsed_time": "10 days, 9:28:47", "remaining_time": "2 days, 1:38:37"} +{"current_steps": 20770, "total_steps": 24897, "loss": 0.6795, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3478230129672498e-05, "epoch": 2.5, "percentage": 83.42, "elapsed_time": "10 days, 9:32:32", "remaining_time": "2 days, 1:35:02"} +{"current_steps": 20775, "total_steps": 24897, "loss": 0.8204, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3422983648780606e-05, "epoch": 2.5, "percentage": 83.44, "elapsed_time": "10 days, 9:36:16", "remaining_time": "2 days, 1:31:28"} +{"current_steps": 20780, "total_steps": 24897, "loss": 0.8263, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.336779673923607e-05, "epoch": 2.5, "percentage": 83.46, "elapsed_time": "10 days, 9:40:00", "remaining_time": "2 days, 1:27:53"} +{"current_steps": 20785, "total_steps": 24897, "loss": 0.8028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3312669427011748e-05, "epoch": 2.5, "percentage": 83.48, "elapsed_time": "10 days, 9:43:45", "remaining_time": "2 days, 1:24:18"} +{"current_steps": 20790, "total_steps": 24897, "loss": 0.8012, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3257601738052352e-05, "epoch": 2.5, "percentage": 83.5, "elapsed_time": "10 days, 9:47:29", "remaining_time": "2 days, 1:20:43"} +{"current_steps": 20795, "total_steps": 24897, "loss": 0.8466, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3202593698274546e-05, "epoch": 2.51, "percentage": 83.52, "elapsed_time": "10 days, 9:51:13", "remaining_time": "2 days, 1:17:09"} +{"current_steps": 20800, "total_steps": 24897, "loss": 0.7009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3147645333566977e-05, "epoch": 2.51, "percentage": 83.54, "elapsed_time": "10 days, 9:54:56", "remaining_time": "2 days, 1:13:34"} +{"current_steps": 20805, "total_steps": 24897, "loss": 0.7897, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.309275666979014e-05, "epoch": 2.51, "percentage": 83.56, "elapsed_time": "10 days, 9:58:46", "remaining_time": "2 days, 1:10:00"} +{"current_steps": 20810, "total_steps": 24897, "loss": 0.7738, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3037927732776472e-05, "epoch": 2.51, "percentage": 83.58, "elapsed_time": "10 days, 10:02:30", "remaining_time": "2 days, 1:06:25"} +{"current_steps": 20815, "total_steps": 24897, "loss": 0.7341, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.29831585483303e-05, "epoch": 2.51, "percentage": 83.6, "elapsed_time": "10 days, 10:06:15", "remaining_time": "2 days, 1:02:51"} +{"current_steps": 20820, "total_steps": 24897, "loss": 0.8116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.292844914222777e-05, "epoch": 2.51, "percentage": 83.62, "elapsed_time": "10 days, 10:10:00", "remaining_time": "2 days, 0:59:16"} +{"current_steps": 20825, "total_steps": 24897, "loss": 0.7608, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.287379954021703e-05, "epoch": 2.51, "percentage": 83.64, "elapsed_time": "10 days, 10:13:44", "remaining_time": "2 days, 0:55:42"} +{"current_steps": 20830, "total_steps": 24897, "loss": 0.7451, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2819209768017965e-05, "epoch": 2.51, "percentage": 83.66, "elapsed_time": "10 days, 10:17:28", "remaining_time": "2 days, 0:52:07"} +{"current_steps": 20835, "total_steps": 24897, "loss": 0.8302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.276467985132232e-05, "epoch": 2.51, "percentage": 83.68, "elapsed_time": "10 days, 10:21:14", "remaining_time": "2 days, 0:48:32"} +{"current_steps": 20840, "total_steps": 24897, "loss": 0.7533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.271020981579365e-05, "epoch": 2.51, "percentage": 83.7, "elapsed_time": "10 days, 10:24:59", "remaining_time": "2 days, 0:44:58"} +{"current_steps": 20845, "total_steps": 24897, "loss": 0.6176, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.265579968706745e-05, "epoch": 2.51, "percentage": 83.72, "elapsed_time": "10 days, 10:28:44", "remaining_time": "2 days, 0:41:23"} +{"current_steps": 20850, "total_steps": 24897, "loss": 0.68, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2601449490750867e-05, "epoch": 2.51, "percentage": 83.75, "elapsed_time": "10 days, 10:32:29", "remaining_time": "2 days, 0:37:49"} +{"current_steps": 20855, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.254715925242294e-05, "epoch": 2.51, "percentage": 83.77, "elapsed_time": "10 days, 10:36:15", "remaining_time": "2 days, 0:34:14"} +{"current_steps": 20860, "total_steps": 24897, "loss": 0.8367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.249292899763442e-05, "epoch": 2.51, "percentage": 83.79, "elapsed_time": "10 days, 10:40:00", "remaining_time": "2 days, 0:30:40"} +{"current_steps": 20865, "total_steps": 24897, "loss": 0.7383, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2438758751907933e-05, "epoch": 2.51, "percentage": 83.81, "elapsed_time": "10 days, 10:43:44", "remaining_time": "2 days, 0:27:05"} +{"current_steps": 20870, "total_steps": 24897, "loss": 0.8029, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2384648540737736e-05, "epoch": 2.51, "percentage": 83.83, "elapsed_time": "10 days, 10:47:27", "remaining_time": "2 days, 0:23:30"} +{"current_steps": 20875, "total_steps": 24897, "loss": 0.7673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2330598389589915e-05, "epoch": 2.52, "percentage": 83.85, "elapsed_time": "10 days, 10:51:12", "remaining_time": "2 days, 0:19:55"} +{"current_steps": 20880, "total_steps": 24897, "loss": 0.7175, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2276608323902266e-05, "epoch": 2.52, "percentage": 83.87, "elapsed_time": "10 days, 10:54:57", "remaining_time": "2 days, 0:16:20"} +{"current_steps": 20885, "total_steps": 24897, "loss": 0.7742, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.22226783690843e-05, "epoch": 2.52, "percentage": 83.89, "elapsed_time": "10 days, 10:58:41", "remaining_time": "2 days, 0:12:46"} +{"current_steps": 20890, "total_steps": 24897, "loss": 0.678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.216880855051725e-05, "epoch": 2.52, "percentage": 83.91, "elapsed_time": "10 days, 11:02:25", "remaining_time": "2 days, 0:09:11"} +{"current_steps": 20895, "total_steps": 24897, "loss": 0.7413, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2114998893554042e-05, "epoch": 2.52, "percentage": 83.93, "elapsed_time": "10 days, 11:06:10", "remaining_time": "2 days, 0:05:36"} +{"current_steps": 20900, "total_steps": 24897, "loss": 0.7398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2061249423519244e-05, "epoch": 2.52, "percentage": 83.95, "elapsed_time": "10 days, 11:09:54", "remaining_time": "2 days, 0:02:01"} +{"current_steps": 20905, "total_steps": 24897, "loss": 0.7812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.200756016570922e-05, "epoch": 2.52, "percentage": 83.97, "elapsed_time": "10 days, 11:13:45", "remaining_time": "1 day, 23:58:28"} +{"current_steps": 20910, "total_steps": 24897, "loss": 0.7961, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1953931145391872e-05, "epoch": 2.52, "percentage": 83.99, "elapsed_time": "10 days, 11:17:30", "remaining_time": "1 day, 23:54:53"} +{"current_steps": 20915, "total_steps": 24897, "loss": 0.7816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1900362387806812e-05, "epoch": 2.52, "percentage": 84.01, "elapsed_time": "10 days, 11:21:14", "remaining_time": "1 day, 23:51:18"} +{"current_steps": 20920, "total_steps": 24897, "loss": 0.7039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1846853918165223e-05, "epoch": 2.52, "percentage": 84.03, "elapsed_time": "10 days, 11:24:58", "remaining_time": "1 day, 23:47:43"} +{"current_steps": 20925, "total_steps": 24897, "loss": 0.8397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1793405761650062e-05, "epoch": 2.52, "percentage": 84.05, "elapsed_time": "10 days, 11:28:44", "remaining_time": "1 day, 23:44:09"} +{"current_steps": 20930, "total_steps": 24897, "loss": 0.8072, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1740017943415754e-05, "epoch": 2.52, "percentage": 84.07, "elapsed_time": "10 days, 11:32:29", "remaining_time": "1 day, 23:40:34"} +{"current_steps": 20935, "total_steps": 24897, "loss": 0.7661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1686690488588387e-05, "epoch": 2.52, "percentage": 84.09, "elapsed_time": "10 days, 11:36:14", "remaining_time": "1 day, 23:36:59"} +{"current_steps": 20940, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.16334234222656e-05, "epoch": 2.52, "percentage": 84.11, "elapsed_time": "10 days, 11:39:58", "remaining_time": "1 day, 23:33:25"} +{"current_steps": 20945, "total_steps": 24897, "loss": 0.914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1580216769516738e-05, "epoch": 2.52, "percentage": 84.13, "elapsed_time": "10 days, 11:43:42", "remaining_time": "1 day, 23:29:50"} +{"current_steps": 20950, "total_steps": 24897, "loss": 0.9042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.152707055538251e-05, "epoch": 2.52, "percentage": 84.15, "elapsed_time": "10 days, 11:47:27", "remaining_time": "1 day, 23:26:15"} +{"current_steps": 20955, "total_steps": 24897, "loss": 0.8793, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1473984804875332e-05, "epoch": 2.52, "percentage": 84.17, "elapsed_time": "10 days, 11:51:11", "remaining_time": "1 day, 23:22:40"} +{"current_steps": 20960, "total_steps": 24897, "loss": 0.7409, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1420959542979095e-05, "epoch": 2.53, "percentage": 84.19, "elapsed_time": "10 days, 11:54:55", "remaining_time": "1 day, 23:19:05"} +{"current_steps": 20965, "total_steps": 24897, "loss": 0.7843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1367994794649312e-05, "epoch": 2.53, "percentage": 84.21, "elapsed_time": "10 days, 11:58:38", "remaining_time": "1 day, 23:15:30"} +{"current_steps": 20970, "total_steps": 24897, "loss": 0.9156, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1315090584812917e-05, "epoch": 2.53, "percentage": 84.23, "elapsed_time": "10 days, 12:02:24", "remaining_time": "1 day, 23:11:56"} +{"current_steps": 20975, "total_steps": 24897, "loss": 0.7598, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.126224693836837e-05, "epoch": 2.53, "percentage": 84.25, "elapsed_time": "10 days, 12:06:09", "remaining_time": "1 day, 23:08:21"} +{"current_steps": 20980, "total_steps": 24897, "loss": 0.8218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.120946388018565e-05, "epoch": 2.53, "percentage": 84.27, "elapsed_time": "10 days, 12:09:53", "remaining_time": "1 day, 23:04:46"} +{"current_steps": 20985, "total_steps": 24897, "loss": 0.8978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.115674143510625e-05, "epoch": 2.53, "percentage": 84.29, "elapsed_time": "10 days, 12:13:37", "remaining_time": "1 day, 23:01:11"} +{"current_steps": 20990, "total_steps": 24897, "loss": 0.8051, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1104079627943087e-05, "epoch": 2.53, "percentage": 84.31, "elapsed_time": "10 days, 12:17:22", "remaining_time": "1 day, 22:57:36"} +{"current_steps": 20995, "total_steps": 24897, "loss": 0.7435, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1051478483480555e-05, "epoch": 2.53, "percentage": 84.33, "elapsed_time": "10 days, 12:21:06", "remaining_time": "1 day, 22:54:02"} +{"current_steps": 21000, "total_steps": 24897, "loss": 0.7034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.099893802647445e-05, "epoch": 2.53, "percentage": 84.35, "elapsed_time": "10 days, 12:24:51", "remaining_time": "1 day, 22:50:27"} +{"current_steps": 21005, "total_steps": 24897, "loss": 0.7948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0946458281652155e-05, "epoch": 2.53, "percentage": 84.37, "elapsed_time": "10 days, 12:28:42", "remaining_time": "1 day, 22:46:53"} +{"current_steps": 21010, "total_steps": 24897, "loss": 0.7694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.089403927371232e-05, "epoch": 2.53, "percentage": 84.39, "elapsed_time": "10 days, 12:32:27", "remaining_time": "1 day, 22:43:18"} +{"current_steps": 21015, "total_steps": 24897, "loss": 0.8528, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0841681027325075e-05, "epoch": 2.53, "percentage": 84.41, "elapsed_time": "10 days, 12:36:11", "remaining_time": "1 day, 22:39:43"} +{"current_steps": 21020, "total_steps": 24897, "loss": 0.7757, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0789383567131955e-05, "epoch": 2.53, "percentage": 84.43, "elapsed_time": "10 days, 12:39:56", "remaining_time": "1 day, 22:36:09"} +{"current_steps": 21025, "total_steps": 24897, "loss": 0.7972, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0737146917745878e-05, "epoch": 2.53, "percentage": 84.45, "elapsed_time": "10 days, 12:43:40", "remaining_time": "1 day, 22:32:34"} +{"current_steps": 21030, "total_steps": 24897, "loss": 0.8079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0684971103751158e-05, "epoch": 2.53, "percentage": 84.47, "elapsed_time": "10 days, 12:47:25", "remaining_time": "1 day, 22:28:59"} +{"current_steps": 21035, "total_steps": 24897, "loss": 0.7684, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0632856149703454e-05, "epoch": 2.53, "percentage": 84.49, "elapsed_time": "10 days, 12:51:09", "remaining_time": "1 day, 22:25:24"} +{"current_steps": 21040, "total_steps": 24897, "loss": 0.7623, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0580802080129744e-05, "epoch": 2.54, "percentage": 84.51, "elapsed_time": "10 days, 12:54:52", "remaining_time": "1 day, 22:21:49"} +{"current_steps": 21045, "total_steps": 24897, "loss": 0.752, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.05288089195285e-05, "epoch": 2.54, "percentage": 84.53, "elapsed_time": "10 days, 12:58:35", "remaining_time": "1 day, 22:18:14"} +{"current_steps": 21050, "total_steps": 24897, "loss": 0.7191, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0476876692369398e-05, "epoch": 2.54, "percentage": 84.55, "elapsed_time": "10 days, 13:02:20", "remaining_time": "1 day, 22:14:39"} +{"current_steps": 21055, "total_steps": 24897, "loss": 0.7588, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0425005423093437e-05, "epoch": 2.54, "percentage": 84.57, "elapsed_time": "10 days, 13:06:05", "remaining_time": "1 day, 22:11:04"} +{"current_steps": 21060, "total_steps": 24897, "loss": 0.723, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.037319513611294e-05, "epoch": 2.54, "percentage": 84.59, "elapsed_time": "10 days, 13:09:49", "remaining_time": "1 day, 22:07:29"} +{"current_steps": 21065, "total_steps": 24897, "loss": 0.8807, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0321445855811635e-05, "epoch": 2.54, "percentage": 84.61, "elapsed_time": "10 days, 13:13:34", "remaining_time": "1 day, 22:03:54"} +{"current_steps": 21070, "total_steps": 24897, "loss": 0.8104, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.026975760654439e-05, "epoch": 2.54, "percentage": 84.63, "elapsed_time": "10 days, 13:17:18", "remaining_time": "1 day, 22:00:19"} +{"current_steps": 21075, "total_steps": 24897, "loss": 0.7187, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0218130412637397e-05, "epoch": 2.54, "percentage": 84.65, "elapsed_time": "10 days, 13:21:03", "remaining_time": "1 day, 21:56:44"} +{"current_steps": 21080, "total_steps": 24897, "loss": 0.8717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0166564298388182e-05, "epoch": 2.54, "percentage": 84.67, "elapsed_time": "10 days, 13:24:47", "remaining_time": "1 day, 21:53:09"} +{"current_steps": 21085, "total_steps": 24897, "loss": 0.7553, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0115059288065437e-05, "epoch": 2.54, "percentage": 84.69, "elapsed_time": "10 days, 13:28:32", "remaining_time": "1 day, 21:49:34"} +{"current_steps": 21090, "total_steps": 24897, "loss": 0.8769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.006361540590914e-05, "epoch": 2.54, "percentage": 84.71, "elapsed_time": "10 days, 13:32:16", "remaining_time": "1 day, 21:46:00"} +{"current_steps": 21095, "total_steps": 24897, "loss": 0.8399, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0012232676130503e-05, "epoch": 2.54, "percentage": 84.73, "elapsed_time": "10 days, 13:36:01", "remaining_time": "1 day, 21:42:25"} +{"current_steps": 21100, "total_steps": 24897, "loss": 0.6941, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9960911122911915e-05, "epoch": 2.54, "percentage": 84.75, "elapsed_time": "10 days, 13:39:45", "remaining_time": "1 day, 21:38:50"} +{"current_steps": 21105, "total_steps": 24897, "loss": 0.8403, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.990965077040701e-05, "epoch": 2.54, "percentage": 84.77, "elapsed_time": "10 days, 13:43:37", "remaining_time": "1 day, 21:35:16"} +{"current_steps": 21110, "total_steps": 24897, "loss": 0.7571, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9858451642740637e-05, "epoch": 2.54, "percentage": 84.79, "elapsed_time": "10 days, 13:47:22", "remaining_time": "1 day, 21:31:41"} +{"current_steps": 21115, "total_steps": 24897, "loss": 0.8058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9807313764008738e-05, "epoch": 2.54, "percentage": 84.81, "elapsed_time": "10 days, 13:51:07", "remaining_time": "1 day, 21:28:06"} +{"current_steps": 21120, "total_steps": 24897, "loss": 0.7587, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9756237158278593e-05, "epoch": 2.54, "percentage": 84.83, "elapsed_time": "10 days, 13:54:51", "remaining_time": "1 day, 21:24:31"} +{"current_steps": 21125, "total_steps": 24897, "loss": 0.8447, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9705221849588493e-05, "epoch": 2.55, "percentage": 84.85, "elapsed_time": "10 days, 13:58:37", "remaining_time": "1 day, 21:20:56"} +{"current_steps": 21130, "total_steps": 24897, "loss": 0.8247, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9654267861947946e-05, "epoch": 2.55, "percentage": 84.87, "elapsed_time": "10 days, 14:02:21", "remaining_time": "1 day, 21:17:22"} +{"current_steps": 21135, "total_steps": 24897, "loss": 0.8053, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9603375219337573e-05, "epoch": 2.55, "percentage": 84.89, "elapsed_time": "10 days, 14:06:06", "remaining_time": "1 day, 21:13:47"} +{"current_steps": 21140, "total_steps": 24897, "loss": 0.8455, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9552543945709183e-05, "epoch": 2.55, "percentage": 84.91, "elapsed_time": "10 days, 14:09:51", "remaining_time": "1 day, 21:10:12"} +{"current_steps": 21145, "total_steps": 24897, "loss": 0.8471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.950177406498563e-05, "epoch": 2.55, "percentage": 84.93, "elapsed_time": "10 days, 14:13:34", "remaining_time": "1 day, 21:06:37"} +{"current_steps": 21150, "total_steps": 24897, "loss": 0.6899, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9451065601060927e-05, "epoch": 2.55, "percentage": 84.95, "elapsed_time": "10 days, 14:17:19", "remaining_time": "1 day, 21:03:02"} +{"current_steps": 21155, "total_steps": 24897, "loss": 0.7318, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9400418577800148e-05, "epoch": 2.55, "percentage": 84.97, "elapsed_time": "10 days, 14:21:04", "remaining_time": "1 day, 20:59:27"} +{"current_steps": 21160, "total_steps": 24897, "loss": 0.8078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9349833019039457e-05, "epoch": 2.55, "percentage": 84.99, "elapsed_time": "10 days, 14:24:49", "remaining_time": "1 day, 20:55:52"} +{"current_steps": 21165, "total_steps": 24897, "loss": 0.812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.929930894858611e-05, "epoch": 2.55, "percentage": 85.01, "elapsed_time": "10 days, 14:28:33", "remaining_time": "1 day, 20:52:17"} +{"current_steps": 21170, "total_steps": 24897, "loss": 0.9014, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.924884639021841e-05, "epoch": 2.55, "percentage": 85.03, "elapsed_time": "10 days, 14:32:17", "remaining_time": "1 day, 20:48:42"} +{"current_steps": 21175, "total_steps": 24897, "loss": 0.7307, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9198445367685668e-05, "epoch": 2.55, "percentage": 85.05, "elapsed_time": "10 days, 14:36:01", "remaining_time": "1 day, 20:45:07"} +{"current_steps": 21180, "total_steps": 24897, "loss": 0.8146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.914810590470836e-05, "epoch": 2.55, "percentage": 85.07, "elapsed_time": "10 days, 14:39:42", "remaining_time": "1 day, 20:41:31"} +{"current_steps": 21185, "total_steps": 24897, "loss": 0.8376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.909782802497786e-05, "epoch": 2.55, "percentage": 85.09, "elapsed_time": "10 days, 14:43:22", "remaining_time": "1 day, 20:37:55"} +{"current_steps": 21190, "total_steps": 24897, "loss": 0.7168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9047611752156628e-05, "epoch": 2.55, "percentage": 85.11, "elapsed_time": "10 days, 14:47:02", "remaining_time": "1 day, 20:34:19"} +{"current_steps": 21195, "total_steps": 24897, "loss": 0.6942, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8997457109878067e-05, "epoch": 2.55, "percentage": 85.13, "elapsed_time": "10 days, 14:50:42", "remaining_time": "1 day, 20:30:44"} +{"current_steps": 21200, "total_steps": 24897, "loss": 0.7444, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8947364121746677e-05, "epoch": 2.55, "percentage": 85.15, "elapsed_time": "10 days, 14:54:21", "remaining_time": "1 day, 20:27:08"} +{"current_steps": 21205, "total_steps": 24897, "loss": 0.7517, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8897332811337868e-05, "epoch": 2.55, "percentage": 85.17, "elapsed_time": "10 days, 14:58:02", "remaining_time": "1 day, 20:23:32"} +{"current_steps": 21210, "total_steps": 24897, "loss": 0.7324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8847363202198017e-05, "epoch": 2.56, "percentage": 85.19, "elapsed_time": "10 days, 15:01:40", "remaining_time": "1 day, 20:19:56"} +{"current_steps": 21215, "total_steps": 24897, "loss": 0.7523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8797455317844452e-05, "epoch": 2.56, "percentage": 85.21, "elapsed_time": "10 days, 15:05:20", "remaining_time": "1 day, 20:16:20"} +{"current_steps": 21220, "total_steps": 24897, "loss": 0.7668, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8747609181765543e-05, "epoch": 2.56, "percentage": 85.23, "elapsed_time": "10 days, 15:08:59", "remaining_time": "1 day, 20:12:44"} +{"current_steps": 21225, "total_steps": 24897, "loss": 0.796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8697824817420514e-05, "epoch": 2.56, "percentage": 85.25, "elapsed_time": "10 days, 15:12:38", "remaining_time": "1 day, 20:09:08"} +{"current_steps": 21230, "total_steps": 24897, "loss": 0.8034, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8648102248239537e-05, "epoch": 2.56, "percentage": 85.27, "elapsed_time": "10 days, 15:16:15", "remaining_time": "1 day, 20:05:32"} +{"current_steps": 21235, "total_steps": 24897, "loss": 0.7384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.859844149762371e-05, "epoch": 2.56, "percentage": 85.29, "elapsed_time": "10 days, 15:19:52", "remaining_time": "1 day, 20:01:55"} +{"current_steps": 21240, "total_steps": 24897, "loss": 0.8908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8548842588945023e-05, "epoch": 2.56, "percentage": 85.31, "elapsed_time": "10 days, 15:23:29", "remaining_time": "1 day, 19:58:19"} +{"current_steps": 21245, "total_steps": 24897, "loss": 0.7694, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8499305545546367e-05, "epoch": 2.56, "percentage": 85.33, "elapsed_time": "10 days, 15:27:05", "remaining_time": "1 day, 19:54:42"} +{"current_steps": 21250, "total_steps": 24897, "loss": 0.8817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8449830390741526e-05, "epoch": 2.56, "percentage": 85.35, "elapsed_time": "10 days, 15:30:42", "remaining_time": "1 day, 19:51:06"} +{"current_steps": 21255, "total_steps": 24897, "loss": 0.737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.840041714781511e-05, "epoch": 2.56, "percentage": 85.37, "elapsed_time": "10 days, 15:34:20", "remaining_time": "1 day, 19:47:30"} +{"current_steps": 21260, "total_steps": 24897, "loss": 0.7905, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8351065840022715e-05, "epoch": 2.56, "percentage": 85.39, "elapsed_time": "10 days, 15:37:57", "remaining_time": "1 day, 19:43:54"} +{"current_steps": 21265, "total_steps": 24897, "loss": 0.7542, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8301776490590664e-05, "epoch": 2.56, "percentage": 85.41, "elapsed_time": "10 days, 15:41:34", "remaining_time": "1 day, 19:40:17"} +{"current_steps": 21270, "total_steps": 24897, "loss": 0.6572, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8252549122716147e-05, "epoch": 2.56, "percentage": 85.43, "elapsed_time": "10 days, 15:45:11", "remaining_time": "1 day, 19:36:41"} +{"current_steps": 21275, "total_steps": 24897, "loss": 0.7748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8203383759567186e-05, "epoch": 2.56, "percentage": 85.45, "elapsed_time": "10 days, 15:48:48", "remaining_time": "1 day, 19:33:05"} +{"current_steps": 21280, "total_steps": 24897, "loss": 0.8352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8154280424282685e-05, "epoch": 2.56, "percentage": 85.47, "elapsed_time": "10 days, 15:52:25", "remaining_time": "1 day, 19:29:28"} +{"current_steps": 21285, "total_steps": 24897, "loss": 0.7049, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8105239139972277e-05, "epoch": 2.56, "percentage": 85.49, "elapsed_time": "10 days, 15:56:02", "remaining_time": "1 day, 19:25:52"} +{"current_steps": 21290, "total_steps": 24897, "loss": 0.7679, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8056259929716417e-05, "epoch": 2.57, "percentage": 85.51, "elapsed_time": "10 days, 15:59:40", "remaining_time": "1 day, 19:22:16"} +{"current_steps": 21295, "total_steps": 24897, "loss": 0.7548, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.800734281656633e-05, "epoch": 2.57, "percentage": 85.53, "elapsed_time": "10 days, 16:03:16", "remaining_time": "1 day, 19:18:39"} +{"current_steps": 21300, "total_steps": 24897, "loss": 0.7986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7958487823544082e-05, "epoch": 2.57, "percentage": 85.55, "elapsed_time": "10 days, 16:06:52", "remaining_time": "1 day, 19:15:03"} +{"current_steps": 21305, "total_steps": 24897, "loss": 0.8185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.790969497364242e-05, "epoch": 2.57, "percentage": 85.57, "elapsed_time": "10 days, 16:10:31", "remaining_time": "1 day, 19:11:27"} +{"current_steps": 21310, "total_steps": 24897, "loss": 0.7967, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7860964289824885e-05, "epoch": 2.57, "percentage": 85.59, "elapsed_time": "10 days, 16:14:08", "remaining_time": "1 day, 19:07:50"} +{"current_steps": 21315, "total_steps": 24897, "loss": 0.7764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7812295795025773e-05, "epoch": 2.57, "percentage": 85.61, "elapsed_time": "10 days, 16:17:44", "remaining_time": "1 day, 19:04:14"} +{"current_steps": 21320, "total_steps": 24897, "loss": 0.7171, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.776368951215007e-05, "epoch": 2.57, "percentage": 85.63, "elapsed_time": "10 days, 16:21:21", "remaining_time": "1 day, 19:00:37"} +{"current_steps": 21325, "total_steps": 24897, "loss": 0.806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7715145464073498e-05, "epoch": 2.57, "percentage": 85.65, "elapsed_time": "10 days, 16:24:57", "remaining_time": "1 day, 18:57:01"} +{"current_steps": 21330, "total_steps": 24897, "loss": 0.7911, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7666663673642535e-05, "epoch": 2.57, "percentage": 85.67, "elapsed_time": "10 days, 16:28:33", "remaining_time": "1 day, 18:53:25"} +{"current_steps": 21335, "total_steps": 24897, "loss": 0.8123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.761824416367427e-05, "epoch": 2.57, "percentage": 85.69, "elapsed_time": "10 days, 16:32:10", "remaining_time": "1 day, 18:49:48"} +{"current_steps": 21340, "total_steps": 24897, "loss": 0.8126, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7569886956956585e-05, "epoch": 2.57, "percentage": 85.71, "elapsed_time": "10 days, 16:35:47", "remaining_time": "1 day, 18:46:12"} +{"current_steps": 21345, "total_steps": 24897, "loss": 0.8279, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.752159207624797e-05, "epoch": 2.57, "percentage": 85.73, "elapsed_time": "10 days, 16:39:24", "remaining_time": "1 day, 18:42:35"} +{"current_steps": 21350, "total_steps": 24897, "loss": 0.6854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7473359544277594e-05, "epoch": 2.57, "percentage": 85.75, "elapsed_time": "10 days, 16:43:00", "remaining_time": "1 day, 18:38:59"} +{"current_steps": 21355, "total_steps": 24897, "loss": 0.8533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7425189383745265e-05, "epoch": 2.57, "percentage": 85.77, "elapsed_time": "10 days, 16:46:36", "remaining_time": "1 day, 18:35:22"} +{"current_steps": 21360, "total_steps": 24897, "loss": 0.7162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7377081617321513e-05, "epoch": 2.57, "percentage": 85.79, "elapsed_time": "10 days, 16:50:12", "remaining_time": "1 day, 18:31:46"} +{"current_steps": 21365, "total_steps": 24897, "loss": 0.7429, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7329036267647417e-05, "epoch": 2.57, "percentage": 85.81, "elapsed_time": "10 days, 16:53:48", "remaining_time": "1 day, 18:28:10"} +{"current_steps": 21370, "total_steps": 24897, "loss": 0.8501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7281053357334717e-05, "epoch": 2.57, "percentage": 85.83, "elapsed_time": "10 days, 16:57:25", "remaining_time": "1 day, 18:24:33"} +{"current_steps": 21375, "total_steps": 24897, "loss": 0.7655, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7233132908965784e-05, "epoch": 2.58, "percentage": 85.85, "elapsed_time": "10 days, 17:01:01", "remaining_time": "1 day, 18:20:57"} +{"current_steps": 21380, "total_steps": 24897, "loss": 0.8074, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7185274945093547e-05, "epoch": 2.58, "percentage": 85.87, "elapsed_time": "10 days, 17:04:38", "remaining_time": "1 day, 18:17:20"} +{"current_steps": 21385, "total_steps": 24897, "loss": 0.8458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.713747948824155e-05, "epoch": 2.58, "percentage": 85.89, "elapsed_time": "10 days, 17:08:14", "remaining_time": "1 day, 18:13:44"} +{"current_steps": 21390, "total_steps": 24897, "loss": 0.8744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7089746560903956e-05, "epoch": 2.58, "percentage": 85.91, "elapsed_time": "10 days, 17:11:51", "remaining_time": "1 day, 18:10:07"} +{"current_steps": 21395, "total_steps": 24897, "loss": 0.7331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7042076185545388e-05, "epoch": 2.58, "percentage": 85.93, "elapsed_time": "10 days, 17:15:27", "remaining_time": "1 day, 18:06:31"} +{"current_steps": 21400, "total_steps": 24897, "loss": 0.7485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6994468384601206e-05, "epoch": 2.58, "percentage": 85.95, "elapsed_time": "10 days, 17:19:02", "remaining_time": "1 day, 18:02:54"} +{"current_steps": 21405, "total_steps": 24897, "loss": 0.7844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6946923180477183e-05, "epoch": 2.58, "percentage": 85.97, "elapsed_time": "10 days, 17:22:42", "remaining_time": "1 day, 17:59:18"} +{"current_steps": 21410, "total_steps": 24897, "loss": 0.7854, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6899440595549674e-05, "epoch": 2.58, "percentage": 85.99, "elapsed_time": "10 days, 17:26:18", "remaining_time": "1 day, 17:55:42"} +{"current_steps": 21415, "total_steps": 24897, "loss": 0.7819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6852020652165515e-05, "epoch": 2.58, "percentage": 86.01, "elapsed_time": "10 days, 17:29:54", "remaining_time": "1 day, 17:52:05"} +{"current_steps": 21420, "total_steps": 24897, "loss": 0.7315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6804663372642175e-05, "epoch": 2.58, "percentage": 86.03, "elapsed_time": "10 days, 17:33:29", "remaining_time": "1 day, 17:48:29"} +{"current_steps": 21425, "total_steps": 24897, "loss": 0.8445, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6757368779267522e-05, "epoch": 2.58, "percentage": 86.05, "elapsed_time": "10 days, 17:37:05", "remaining_time": "1 day, 17:44:52"} +{"current_steps": 21430, "total_steps": 24897, "loss": 0.763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6710136894299987e-05, "epoch": 2.58, "percentage": 86.07, "elapsed_time": "10 days, 17:40:41", "remaining_time": "1 day, 17:41:16"} +{"current_steps": 21435, "total_steps": 24897, "loss": 0.8031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6662967739968402e-05, "epoch": 2.58, "percentage": 86.09, "elapsed_time": "10 days, 17:44:17", "remaining_time": "1 day, 17:37:39"} +{"current_steps": 21440, "total_steps": 24897, "loss": 0.6969, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.661586133847223e-05, "epoch": 2.58, "percentage": 86.11, "elapsed_time": "10 days, 17:47:53", "remaining_time": "1 day, 17:34:03"} +{"current_steps": 21445, "total_steps": 24897, "loss": 0.8331, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.656881771198125e-05, "epoch": 2.58, "percentage": 86.13, "elapsed_time": "10 days, 17:51:29", "remaining_time": "1 day, 17:30:26"} +{"current_steps": 21450, "total_steps": 24897, "loss": 0.7937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6521836882635775e-05, "epoch": 2.58, "percentage": 86.15, "elapsed_time": "10 days, 17:54:28", "remaining_time": "1 day, 17:26:44"} +{"current_steps": 21455, "total_steps": 24897, "loss": 0.7681, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6474918872546545e-05, "epoch": 2.59, "percentage": 86.18, "elapsed_time": "10 days, 17:57:54", "remaining_time": "1 day, 17:23:06"} +{"current_steps": 21460, "total_steps": 24897, "loss": 0.8169, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6428063703794714e-05, "epoch": 2.59, "percentage": 86.2, "elapsed_time": "10 days, 18:01:30", "remaining_time": "1 day, 17:19:29"} +{"current_steps": 21465, "total_steps": 24897, "loss": 0.7523, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6381271398431894e-05, "epoch": 2.59, "percentage": 86.22, "elapsed_time": "10 days, 18:05:06", "remaining_time": "1 day, 17:15:53"} +{"current_steps": 21470, "total_steps": 24897, "loss": 0.7312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6334541978480087e-05, "epoch": 2.59, "percentage": 86.24, "elapsed_time": "10 days, 18:08:42", "remaining_time": "1 day, 17:12:16"} +{"current_steps": 21475, "total_steps": 24897, "loss": 0.746, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6287875465931698e-05, "epoch": 2.59, "percentage": 86.26, "elapsed_time": "10 days, 18:12:17", "remaining_time": "1 day, 17:08:40"} +{"current_steps": 21480, "total_steps": 24897, "loss": 0.827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.624127188274958e-05, "epoch": 2.59, "percentage": 86.28, "elapsed_time": "10 days, 18:15:53", "remaining_time": "1 day, 17:05:03"} +{"current_steps": 21485, "total_steps": 24897, "loss": 0.7932, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.61947312508669e-05, "epoch": 2.59, "percentage": 86.3, "elapsed_time": "10 days, 18:19:30", "remaining_time": "1 day, 17:01:27"} +{"current_steps": 21490, "total_steps": 24897, "loss": 0.7861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.614825359218724e-05, "epoch": 2.59, "percentage": 86.32, "elapsed_time": "10 days, 18:23:05", "remaining_time": "1 day, 16:57:50"} +{"current_steps": 21495, "total_steps": 24897, "loss": 0.6808, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6101838928584483e-05, "epoch": 2.59, "percentage": 86.34, "elapsed_time": "10 days, 18:26:42", "remaining_time": "1 day, 16:54:14"} +{"current_steps": 21500, "total_steps": 24897, "loss": 0.8056, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6055487281902973e-05, "epoch": 2.59, "percentage": 86.36, "elapsed_time": "10 days, 18:30:17", "remaining_time": "1 day, 16:50:37"} +{"current_steps": 21505, "total_steps": 24897, "loss": 0.84, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6009198673957313e-05, "epoch": 2.59, "percentage": 86.38, "elapsed_time": "10 days, 18:33:58", "remaining_time": "1 day, 16:47:01"} +{"current_steps": 21510, "total_steps": 24897, "loss": 0.8734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5962973126532457e-05, "epoch": 2.59, "percentage": 86.4, "elapsed_time": "10 days, 18:37:34", "remaining_time": "1 day, 16:43:25"} +{"current_steps": 21515, "total_steps": 24897, "loss": 0.7527, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5916810661383638e-05, "epoch": 2.59, "percentage": 86.42, "elapsed_time": "10 days, 18:41:10", "remaining_time": "1 day, 16:39:48"} +{"current_steps": 21520, "total_steps": 24897, "loss": 0.6993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5870711300236527e-05, "epoch": 2.59, "percentage": 86.44, "elapsed_time": "10 days, 18:44:46", "remaining_time": "1 day, 16:36:12"} +{"current_steps": 21525, "total_steps": 24897, "loss": 0.7884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5824675064786968e-05, "epoch": 2.59, "percentage": 86.46, "elapsed_time": "10 days, 18:48:22", "remaining_time": "1 day, 16:32:35"} +{"current_steps": 21530, "total_steps": 24897, "loss": 0.6855, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.577870197670118e-05, "epoch": 2.59, "percentage": 86.48, "elapsed_time": "10 days, 18:51:58", "remaining_time": "1 day, 16:28:59"} +{"current_steps": 21535, "total_steps": 24897, "loss": 0.8805, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.573279205761554e-05, "epoch": 2.59, "percentage": 86.5, "elapsed_time": "10 days, 18:55:35", "remaining_time": "1 day, 16:25:23"} +{"current_steps": 21540, "total_steps": 24897, "loss": 0.7189, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5686945329136865e-05, "epoch": 2.6, "percentage": 86.52, "elapsed_time": "10 days, 18:59:11", "remaining_time": "1 day, 16:21:46"} +{"current_steps": 21545, "total_steps": 24897, "loss": 0.8336, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5641161812842105e-05, "epoch": 2.6, "percentage": 86.54, "elapsed_time": "10 days, 19:02:47", "remaining_time": "1 day, 16:18:10"} +{"current_steps": 21550, "total_steps": 24897, "loss": 0.7574, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5595441530278517e-05, "epoch": 2.6, "percentage": 86.56, "elapsed_time": "10 days, 19:06:23", "remaining_time": "1 day, 16:14:33"} +{"current_steps": 21555, "total_steps": 24897, "loss": 0.7995, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5549784502963554e-05, "epoch": 2.6, "percentage": 86.58, "elapsed_time": "10 days, 19:09:58", "remaining_time": "1 day, 16:10:57"} +{"current_steps": 21560, "total_steps": 24897, "loss": 0.7078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5504190752384987e-05, "epoch": 2.6, "percentage": 86.6, "elapsed_time": "10 days, 19:13:34", "remaining_time": "1 day, 16:07:20"} +{"current_steps": 21565, "total_steps": 24897, "loss": 0.7801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5458660300000725e-05, "epoch": 2.6, "percentage": 86.62, "elapsed_time": "10 days, 19:17:11", "remaining_time": "1 day, 16:03:44"} +{"current_steps": 21570, "total_steps": 24897, "loss": 0.7721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5413193167238908e-05, "epoch": 2.6, "percentage": 86.64, "elapsed_time": "10 days, 19:20:47", "remaining_time": "1 day, 16:00:07"} +{"current_steps": 21575, "total_steps": 24897, "loss": 0.8263, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5367789375497836e-05, "epoch": 2.6, "percentage": 86.66, "elapsed_time": "10 days, 19:24:23", "remaining_time": "1 day, 15:56:31"} +{"current_steps": 21580, "total_steps": 24897, "loss": 0.9136, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5322448946146114e-05, "epoch": 2.6, "percentage": 86.68, "elapsed_time": "10 days, 19:27:59", "remaining_time": "1 day, 15:52:54"} +{"current_steps": 21585, "total_steps": 24897, "loss": 0.7735, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5277171900522428e-05, "epoch": 2.6, "percentage": 86.7, "elapsed_time": "10 days, 19:31:35", "remaining_time": "1 day, 15:49:18"} +{"current_steps": 21590, "total_steps": 24897, "loss": 0.7816, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5231958259935646e-05, "epoch": 2.6, "percentage": 86.72, "elapsed_time": "10 days, 19:35:10", "remaining_time": "1 day, 15:45:41"} +{"current_steps": 21595, "total_steps": 24897, "loss": 0.7792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5186808045664812e-05, "epoch": 2.6, "percentage": 86.74, "elapsed_time": "10 days, 19:38:46", "remaining_time": "1 day, 15:42:05"} +{"current_steps": 21600, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5141721278959112e-05, "epoch": 2.6, "percentage": 86.76, "elapsed_time": "10 days, 19:42:22", "remaining_time": "1 day, 15:38:28"} +{"current_steps": 21605, "total_steps": 24897, "loss": 0.7762, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5096697981037909e-05, "epoch": 2.6, "percentage": 86.78, "elapsed_time": "10 days, 19:46:01", "remaining_time": "1 day, 15:34:52"} +{"current_steps": 21610, "total_steps": 24897, "loss": 0.7818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5051738173090582e-05, "epoch": 2.6, "percentage": 86.8, "elapsed_time": "10 days, 19:49:38", "remaining_time": "1 day, 15:31:16"} +{"current_steps": 21615, "total_steps": 24897, "loss": 0.7005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.500684187627681e-05, "epoch": 2.6, "percentage": 86.82, "elapsed_time": "10 days, 19:53:14", "remaining_time": "1 day, 15:27:39"} +{"current_steps": 21620, "total_steps": 24897, "loss": 0.7485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.496200911172622e-05, "epoch": 2.6, "percentage": 86.84, "elapsed_time": "10 days, 19:56:51", "remaining_time": "1 day, 15:24:03"} +{"current_steps": 21625, "total_steps": 24897, "loss": 0.7653, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.491723990053862e-05, "epoch": 2.61, "percentage": 86.86, "elapsed_time": "10 days, 20:00:27", "remaining_time": "1 day, 15:20:26"} +{"current_steps": 21630, "total_steps": 24897, "loss": 0.6609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.487253426378387e-05, "epoch": 2.61, "percentage": 86.88, "elapsed_time": "10 days, 20:04:04", "remaining_time": "1 day, 15:16:50"} +{"current_steps": 21635, "total_steps": 24897, "loss": 0.7225, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.482789222250194e-05, "epoch": 2.61, "percentage": 86.9, "elapsed_time": "10 days, 20:07:41", "remaining_time": "1 day, 15:13:14"} +{"current_steps": 21640, "total_steps": 24897, "loss": 0.8625, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4783313797702878e-05, "epoch": 2.61, "percentage": 86.92, "elapsed_time": "10 days, 20:11:17", "remaining_time": "1 day, 15:09:37"} +{"current_steps": 21645, "total_steps": 24897, "loss": 0.7163, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4738799010366747e-05, "epoch": 2.61, "percentage": 86.94, "elapsed_time": "10 days, 20:14:53", "remaining_time": "1 day, 15:06:01"} +{"current_steps": 21650, "total_steps": 24897, "loss": 0.7637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4694347881443659e-05, "epoch": 2.61, "percentage": 86.96, "elapsed_time": "10 days, 20:18:30", "remaining_time": "1 day, 15:02:24"} +{"current_steps": 21655, "total_steps": 24897, "loss": 0.7499, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4649960431853842e-05, "epoch": 2.61, "percentage": 86.98, "elapsed_time": "10 days, 20:22:06", "remaining_time": "1 day, 14:58:48"} +{"current_steps": 21660, "total_steps": 24897, "loss": 0.8284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4605636682487486e-05, "epoch": 2.61, "percentage": 87.0, "elapsed_time": "10 days, 20:25:43", "remaining_time": "1 day, 14:55:12"} +{"current_steps": 21665, "total_steps": 24897, "loss": 0.7162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.456137665420481e-05, "epoch": 2.61, "percentage": 87.02, "elapsed_time": "10 days, 20:29:19", "remaining_time": "1 day, 14:51:35"} +{"current_steps": 21670, "total_steps": 24897, "loss": 0.8519, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4517180367836062e-05, "epoch": 2.61, "percentage": 87.04, "elapsed_time": "10 days, 20:32:56", "remaining_time": "1 day, 14:47:59"} +{"current_steps": 21675, "total_steps": 24897, "loss": 0.7592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4473047844181474e-05, "epoch": 2.61, "percentage": 87.06, "elapsed_time": "10 days, 20:36:33", "remaining_time": "1 day, 14:44:22"} +{"current_steps": 21680, "total_steps": 24897, "loss": 0.7692, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4428979104011295e-05, "epoch": 2.61, "percentage": 87.08, "elapsed_time": "10 days, 20:40:11", "remaining_time": "1 day, 14:40:46"} +{"current_steps": 21685, "total_steps": 24897, "loss": 0.7196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4384974168065705e-05, "epoch": 2.61, "percentage": 87.1, "elapsed_time": "10 days, 20:43:50", "remaining_time": "1 day, 14:37:10"} +{"current_steps": 21690, "total_steps": 24897, "loss": 0.7442, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4341033057054885e-05, "epoch": 2.61, "percentage": 87.12, "elapsed_time": "10 days, 20:47:29", "remaining_time": "1 day, 14:33:34"} +{"current_steps": 21695, "total_steps": 24897, "loss": 0.7293, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4297155791659044e-05, "epoch": 2.61, "percentage": 87.14, "elapsed_time": "10 days, 20:51:08", "remaining_time": "1 day, 14:29:58"} +{"current_steps": 21700, "total_steps": 24897, "loss": 0.8122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4253342392528227e-05, "epoch": 2.61, "percentage": 87.16, "elapsed_time": "10 days, 20:54:48", "remaining_time": "1 day, 14:26:22"} +{"current_steps": 21705, "total_steps": 24897, "loss": 0.6921, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4209592880282494e-05, "epoch": 2.62, "percentage": 87.18, "elapsed_time": "10 days, 20:58:30", "remaining_time": "1 day, 14:22:47"} +{"current_steps": 21710, "total_steps": 24897, "loss": 0.7754, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4165907275511773e-05, "epoch": 2.62, "percentage": 87.2, "elapsed_time": "10 days, 21:02:10", "remaining_time": "1 day, 14:19:11"} +{"current_steps": 21715, "total_steps": 24897, "loss": 0.7997, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4122285598776035e-05, "epoch": 2.62, "percentage": 87.22, "elapsed_time": "10 days, 21:05:50", "remaining_time": "1 day, 14:15:35"} +{"current_steps": 21720, "total_steps": 24897, "loss": 0.6922, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4078727870605056e-05, "epoch": 2.62, "percentage": 87.24, "elapsed_time": "10 days, 21:09:30", "remaining_time": "1 day, 14:11:59"} +{"current_steps": 21725, "total_steps": 24897, "loss": 0.8521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4035234111498539e-05, "epoch": 2.62, "percentage": 87.26, "elapsed_time": "10 days, 21:13:11", "remaining_time": "1 day, 14:08:23"} +{"current_steps": 21730, "total_steps": 24897, "loss": 0.8503, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3991804341926077e-05, "epoch": 2.62, "percentage": 87.28, "elapsed_time": "10 days, 21:16:51", "remaining_time": "1 day, 14:04:47"} +{"current_steps": 21735, "total_steps": 24897, "loss": 0.7678, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.394843858232722e-05, "epoch": 2.62, "percentage": 87.3, "elapsed_time": "10 days, 21:20:32", "remaining_time": "1 day, 14:01:11"} +{"current_steps": 21740, "total_steps": 24897, "loss": 0.8423, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.390513685311131e-05, "epoch": 2.62, "percentage": 87.32, "elapsed_time": "10 days, 21:24:13", "remaining_time": "1 day, 13:57:36"} +{"current_steps": 21745, "total_steps": 24897, "loss": 0.7707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3861899174657542e-05, "epoch": 2.62, "percentage": 87.34, "elapsed_time": "10 days, 21:27:54", "remaining_time": "1 day, 13:54:00"} +{"current_steps": 21750, "total_steps": 24897, "loss": 0.8024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.381872556731501e-05, "epoch": 2.62, "percentage": 87.36, "elapsed_time": "10 days, 21:31:34", "remaining_time": "1 day, 13:50:24"} +{"current_steps": 21755, "total_steps": 24897, "loss": 0.7274, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3775616051402689e-05, "epoch": 2.62, "percentage": 87.38, "elapsed_time": "10 days, 21:35:16", "remaining_time": "1 day, 13:46:48"} +{"current_steps": 21760, "total_steps": 24897, "loss": 0.6989, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3732570647209334e-05, "epoch": 2.62, "percentage": 87.4, "elapsed_time": "10 days, 21:38:57", "remaining_time": "1 day, 13:43:13"} +{"current_steps": 21765, "total_steps": 24897, "loss": 0.7043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3689589374993526e-05, "epoch": 2.62, "percentage": 87.42, "elapsed_time": "10 days, 21:42:38", "remaining_time": "1 day, 13:39:37"} +{"current_steps": 21770, "total_steps": 24897, "loss": 0.7085, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3646672254983649e-05, "epoch": 2.62, "percentage": 87.44, "elapsed_time": "10 days, 21:46:19", "remaining_time": "1 day, 13:36:01"} +{"current_steps": 21775, "total_steps": 24897, "loss": 0.8323, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3603819307378011e-05, "epoch": 2.62, "percentage": 87.46, "elapsed_time": "10 days, 21:50:01", "remaining_time": "1 day, 13:32:25"} +{"current_steps": 21780, "total_steps": 24897, "loss": 0.8099, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3561030552344566e-05, "epoch": 2.62, "percentage": 87.48, "elapsed_time": "10 days, 21:53:42", "remaining_time": "1 day, 13:28:50"} +{"current_steps": 21785, "total_steps": 24897, "loss": 0.805, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3518306010021152e-05, "epoch": 2.62, "percentage": 87.5, "elapsed_time": "10 days, 21:57:24", "remaining_time": "1 day, 13:25:14"} +{"current_steps": 21790, "total_steps": 24897, "loss": 0.8367, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3475645700515319e-05, "epoch": 2.63, "percentage": 87.52, "elapsed_time": "10 days, 22:01:06", "remaining_time": "1 day, 13:21:38"} +{"current_steps": 21795, "total_steps": 24897, "loss": 0.8377, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3433049643904476e-05, "epoch": 2.63, "percentage": 87.54, "elapsed_time": "10 days, 22:04:47", "remaining_time": "1 day, 13:18:03"} +{"current_steps": 21800, "total_steps": 24897, "loss": 0.8026, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3390517860235717e-05, "epoch": 2.63, "percentage": 87.56, "elapsed_time": "10 days, 22:08:29", "remaining_time": "1 day, 13:14:27"} +{"current_steps": 21805, "total_steps": 24897, "loss": 0.7157, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3348050369525931e-05, "epoch": 2.63, "percentage": 87.58, "elapsed_time": "10 days, 22:12:12", "remaining_time": "1 day, 13:10:51"} +{"current_steps": 21810, "total_steps": 24897, "loss": 0.729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3305647191761699e-05, "epoch": 2.63, "percentage": 87.6, "elapsed_time": "10 days, 22:15:53", "remaining_time": "1 day, 13:07:16"} +{"current_steps": 21815, "total_steps": 24897, "loss": 0.7045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3263308346899371e-05, "epoch": 2.63, "percentage": 87.62, "elapsed_time": "10 days, 22:19:37", "remaining_time": "1 day, 13:03:40"} +{"current_steps": 21820, "total_steps": 24897, "loss": 0.7042, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3221033854865027e-05, "epoch": 2.63, "percentage": 87.64, "elapsed_time": "10 days, 22:23:20", "remaining_time": "1 day, 13:00:05"} +{"current_steps": 21825, "total_steps": 24897, "loss": 0.7476, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3178823735554434e-05, "epoch": 2.63, "percentage": 87.66, "elapsed_time": "10 days, 22:27:03", "remaining_time": "1 day, 12:56:29"} +{"current_steps": 21830, "total_steps": 24897, "loss": 0.8577, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3136678008833069e-05, "epoch": 2.63, "percentage": 87.68, "elapsed_time": "10 days, 22:30:47", "remaining_time": "1 day, 12:52:54"} +{"current_steps": 21835, "total_steps": 24897, "loss": 0.8105, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.309459669453613e-05, "epoch": 2.63, "percentage": 87.7, "elapsed_time": "10 days, 22:34:29", "remaining_time": "1 day, 12:49:18"} +{"current_steps": 21840, "total_steps": 24897, "loss": 0.7782, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3052579812468494e-05, "epoch": 2.63, "percentage": 87.72, "elapsed_time": "10 days, 22:38:11", "remaining_time": "1 day, 12:45:42"} +{"current_steps": 21845, "total_steps": 24897, "loss": 0.8539, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3010627382404675e-05, "epoch": 2.63, "percentage": 87.74, "elapsed_time": "10 days, 22:41:54", "remaining_time": "1 day, 12:42:07"} +{"current_steps": 21850, "total_steps": 24897, "loss": 0.818, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2968739424088848e-05, "epoch": 2.63, "percentage": 87.76, "elapsed_time": "10 days, 22:45:36", "remaining_time": "1 day, 12:38:31"} +{"current_steps": 21855, "total_steps": 24897, "loss": 0.766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2926915957234957e-05, "epoch": 2.63, "percentage": 87.78, "elapsed_time": "10 days, 22:49:19", "remaining_time": "1 day, 12:34:56"} +{"current_steps": 21860, "total_steps": 24897, "loss": 0.7286, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2885157001526459e-05, "epoch": 2.63, "percentage": 87.8, "elapsed_time": "10 days, 22:53:01", "remaining_time": "1 day, 12:31:20"} +{"current_steps": 21865, "total_steps": 24897, "loss": 0.7398, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2843462576616531e-05, "epoch": 2.63, "percentage": 87.82, "elapsed_time": "10 days, 22:56:43", "remaining_time": "1 day, 12:27:44"} +{"current_steps": 21870, "total_steps": 24897, "loss": 0.7984, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2801832702127912e-05, "epoch": 2.64, "percentage": 87.84, "elapsed_time": "10 days, 23:00:26", "remaining_time": "1 day, 12:24:09"} +{"current_steps": 21875, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2760267397653063e-05, "epoch": 2.64, "percentage": 87.86, "elapsed_time": "10 days, 23:04:08", "remaining_time": "1 day, 12:20:33"} +{"current_steps": 21880, "total_steps": 24897, "loss": 0.8205, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2718766682753966e-05, "epoch": 2.64, "percentage": 87.88, "elapsed_time": "10 days, 23:07:50", "remaining_time": "1 day, 12:16:57"} +{"current_steps": 21885, "total_steps": 24897, "loss": 0.8151, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2677330576962235e-05, "epoch": 2.64, "percentage": 87.9, "elapsed_time": "10 days, 23:11:33", "remaining_time": "1 day, 12:13:22"} +{"current_steps": 21890, "total_steps": 24897, "loss": 0.7551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.263595909977907e-05, "epoch": 2.64, "percentage": 87.92, "elapsed_time": "10 days, 23:15:16", "remaining_time": "1 day, 12:09:46"} +{"current_steps": 21895, "total_steps": 24897, "loss": 0.8551, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2594652270675293e-05, "epoch": 2.64, "percentage": 87.94, "elapsed_time": "10 days, 23:18:59", "remaining_time": "1 day, 12:06:10"} +{"current_steps": 21900, "total_steps": 24897, "loss": 0.846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2553410109091221e-05, "epoch": 2.64, "percentage": 87.96, "elapsed_time": "10 days, 23:22:42", "remaining_time": "1 day, 12:02:35"} +{"current_steps": 21905, "total_steps": 24897, "loss": 0.7788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.251223263443683e-05, "epoch": 2.64, "percentage": 87.98, "elapsed_time": "10 days, 23:26:33", "remaining_time": "1 day, 11:59:00"} +{"current_steps": 21910, "total_steps": 24897, "loss": 0.7536, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2479337242326714e-05, "epoch": 2.64, "percentage": 88.0, "elapsed_time": "10 days, 23:30:16", "remaining_time": "1 day, 11:55:25"} +{"current_steps": 21915, "total_steps": 24897, "loss": 0.7601, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2438276252961555e-05, "epoch": 2.64, "percentage": 88.02, "elapsed_time": "10 days, 23:34:00", "remaining_time": "1 day, 11:51:49"} +{"current_steps": 21920, "total_steps": 24897, "loss": 0.719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2397280004711845e-05, "epoch": 2.64, "percentage": 88.04, "elapsed_time": "10 days, 23:37:43", "remaining_time": "1 day, 11:48:14"} +{"current_steps": 21925, "total_steps": 24897, "loss": 0.8129, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2356348516871839e-05, "epoch": 2.64, "percentage": 88.06, "elapsed_time": "10 days, 23:41:26", "remaining_time": "1 day, 11:44:38"} +{"current_steps": 21930, "total_steps": 24897, "loss": 0.8177, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2315481808705224e-05, "epoch": 2.64, "percentage": 88.08, "elapsed_time": "10 days, 23:45:10", "remaining_time": "1 day, 11:41:03"} +{"current_steps": 21935, "total_steps": 24897, "loss": 0.8406, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2274679899445234e-05, "epoch": 2.64, "percentage": 88.1, "elapsed_time": "10 days, 23:48:54", "remaining_time": "1 day, 11:37:27"} +{"current_steps": 21940, "total_steps": 24897, "loss": 0.7369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2233942808294573e-05, "epoch": 2.64, "percentage": 88.12, "elapsed_time": "10 days, 23:52:38", "remaining_time": "1 day, 11:33:52"} +{"current_steps": 21945, "total_steps": 24897, "loss": 0.8903, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2193270554425521e-05, "epoch": 2.64, "percentage": 88.14, "elapsed_time": "10 days, 23:56:22", "remaining_time": "1 day, 11:30:16"} +{"current_steps": 21950, "total_steps": 24897, "loss": 0.7931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.215266315697977e-05, "epoch": 2.64, "percentage": 88.16, "elapsed_time": "11 days, 0:00:05", "remaining_time": "1 day, 11:26:41"} +{"current_steps": 21955, "total_steps": 24897, "loss": 0.8049, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2112120635068495e-05, "epoch": 2.65, "percentage": 88.18, "elapsed_time": "11 days, 0:03:49", "remaining_time": "1 day, 11:23:05"} +{"current_steps": 21960, "total_steps": 24897, "loss": 0.7373, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2071643007772353e-05, "epoch": 2.65, "percentage": 88.2, "elapsed_time": "11 days, 0:07:33", "remaining_time": "1 day, 11:19:30"} +{"current_steps": 21965, "total_steps": 24897, "loss": 0.7057, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2031230294141486e-05, "epoch": 2.65, "percentage": 88.22, "elapsed_time": "11 days, 0:11:17", "remaining_time": "1 day, 11:15:54"} +{"current_steps": 21970, "total_steps": 24897, "loss": 0.7522, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.199088251319545e-05, "epoch": 2.65, "percentage": 88.24, "elapsed_time": "11 days, 0:15:01", "remaining_time": "1 day, 11:12:19"} +{"current_steps": 21975, "total_steps": 24897, "loss": 0.8177, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1950599683923234e-05, "epoch": 2.65, "percentage": 88.26, "elapsed_time": "11 days, 0:18:45", "remaining_time": "1 day, 11:08:43"} +{"current_steps": 21980, "total_steps": 24897, "loss": 0.7326, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1910381825283294e-05, "epoch": 2.65, "percentage": 88.28, "elapsed_time": "11 days, 0:22:29", "remaining_time": "1 day, 11:05:08"} +{"current_steps": 21985, "total_steps": 24897, "loss": 0.7208, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1870228956203487e-05, "epoch": 2.65, "percentage": 88.3, "elapsed_time": "11 days, 0:26:13", "remaining_time": "1 day, 11:01:32"} +{"current_steps": 21990, "total_steps": 24897, "loss": 0.7957, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.183014109558108e-05, "epoch": 2.65, "percentage": 88.32, "elapsed_time": "11 days, 0:29:57", "remaining_time": "1 day, 10:57:57"} +{"current_steps": 21995, "total_steps": 24897, "loss": 0.7123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1790118262282715e-05, "epoch": 2.65, "percentage": 88.34, "elapsed_time": "11 days, 0:33:41", "remaining_time": "1 day, 10:54:21"} +{"current_steps": 22000, "total_steps": 24897, "loss": 0.7947, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1750160475144543e-05, "epoch": 2.65, "percentage": 88.36, "elapsed_time": "11 days, 0:37:25", "remaining_time": "1 day, 10:50:46"} +{"current_steps": 22005, "total_steps": 24897, "loss": 0.6892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.171026775297197e-05, "epoch": 2.65, "percentage": 88.38, "elapsed_time": "11 days, 0:41:11", "remaining_time": "1 day, 10:47:10"} +{"current_steps": 22010, "total_steps": 24897, "loss": 0.6845, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1670440114539858e-05, "epoch": 2.65, "percentage": 88.4, "elapsed_time": "11 days, 0:44:55", "remaining_time": "1 day, 10:43:35"} +{"current_steps": 22015, "total_steps": 24897, "loss": 0.7648, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1630677578592401e-05, "epoch": 2.65, "percentage": 88.42, "elapsed_time": "11 days, 0:48:39", "remaining_time": "1 day, 10:39:59"} +{"current_steps": 22020, "total_steps": 24897, "loss": 0.8748, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1590980163843194e-05, "epoch": 2.65, "percentage": 88.44, "elapsed_time": "11 days, 0:52:23", "remaining_time": "1 day, 10:36:24"} +{"current_steps": 22025, "total_steps": 24897, "loss": 0.7935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1551347888975126e-05, "epoch": 2.65, "percentage": 88.46, "elapsed_time": "11 days, 0:56:07", "remaining_time": "1 day, 10:32:48"} +{"current_steps": 22030, "total_steps": 24897, "loss": 0.8172, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1511780772640494e-05, "epoch": 2.65, "percentage": 88.48, "elapsed_time": "11 days, 0:59:51", "remaining_time": "1 day, 10:29:13"} +{"current_steps": 22035, "total_steps": 24897, "loss": 0.7621, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1472278833460886e-05, "epoch": 2.65, "percentage": 88.5, "elapsed_time": "11 days, 1:03:35", "remaining_time": "1 day, 10:25:37"} +{"current_steps": 22040, "total_steps": 24897, "loss": 0.7288, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1432842090027227e-05, "epoch": 2.66, "percentage": 88.52, "elapsed_time": "11 days, 1:07:19", "remaining_time": "1 day, 10:22:02"} +{"current_steps": 22045, "total_steps": 24897, "loss": 0.799, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1393470560899742e-05, "epoch": 2.66, "percentage": 88.54, "elapsed_time": "11 days, 1:11:03", "remaining_time": "1 day, 10:18:26"} +{"current_steps": 22050, "total_steps": 24897, "loss": 0.8506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.135416426460799e-05, "epoch": 2.66, "percentage": 88.56, "elapsed_time": "11 days, 1:14:47", "remaining_time": "1 day, 10:14:50"} +{"current_steps": 22055, "total_steps": 24897, "loss": 0.7712, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1314923219650807e-05, "epoch": 2.66, "percentage": 88.58, "elapsed_time": "11 days, 1:18:32", "remaining_time": "1 day, 10:11:15"} +{"current_steps": 22060, "total_steps": 24897, "loss": 0.783, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1275747444496353e-05, "epoch": 2.66, "percentage": 88.61, "elapsed_time": "11 days, 1:22:17", "remaining_time": "1 day, 10:07:39"} +{"current_steps": 22065, "total_steps": 24897, "loss": 0.7318, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1236636957582062e-05, "epoch": 2.66, "percentage": 88.63, "elapsed_time": "11 days, 1:26:01", "remaining_time": "1 day, 10:04:04"} +{"current_steps": 22070, "total_steps": 24897, "loss": 0.8126, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1197591777314597e-05, "epoch": 2.66, "percentage": 88.65, "elapsed_time": "11 days, 1:29:45", "remaining_time": "1 day, 10:00:28"} +{"current_steps": 22075, "total_steps": 24897, "loss": 0.7173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1158611922069904e-05, "epoch": 2.66, "percentage": 88.67, "elapsed_time": "11 days, 1:33:29", "remaining_time": "1 day, 9:56:53"} +{"current_steps": 22080, "total_steps": 24897, "loss": 0.8169, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1119697410193246e-05, "epoch": 2.66, "percentage": 88.69, "elapsed_time": "11 days, 1:37:13", "remaining_time": "1 day, 9:53:17"} +{"current_steps": 22085, "total_steps": 24897, "loss": 0.7369, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1080848259999054e-05, "epoch": 2.66, "percentage": 88.71, "elapsed_time": "11 days, 1:40:57", "remaining_time": "1 day, 9:49:42"} +{"current_steps": 22090, "total_steps": 24897, "loss": 0.7064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1042064489771035e-05, "epoch": 2.66, "percentage": 88.73, "elapsed_time": "11 days, 1:44:41", "remaining_time": "1 day, 9:46:06"} +{"current_steps": 22095, "total_steps": 24897, "loss": 0.7352, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.100334611776209e-05, "epoch": 2.66, "percentage": 88.75, "elapsed_time": "11 days, 1:48:25", "remaining_time": "1 day, 9:42:30"} +{"current_steps": 22100, "total_steps": 24897, "loss": 0.6496, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0964693162194427e-05, "epoch": 2.66, "percentage": 88.77, "elapsed_time": "11 days, 1:52:09", "remaining_time": "1 day, 9:38:55"} +{"current_steps": 22105, "total_steps": 24897, "loss": 0.7463, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0926105641259392e-05, "epoch": 2.66, "percentage": 88.79, "elapsed_time": "11 days, 1:55:55", "remaining_time": "1 day, 9:35:19"} +{"current_steps": 22110, "total_steps": 24897, "loss": 0.806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0887583573117526e-05, "epoch": 2.66, "percentage": 88.81, "elapsed_time": "11 days, 1:59:39", "remaining_time": "1 day, 9:31:44"} +{"current_steps": 22115, "total_steps": 24897, "loss": 0.9518, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0849126975898626e-05, "epoch": 2.66, "percentage": 88.83, "elapsed_time": "11 days, 2:03:24", "remaining_time": "1 day, 9:28:08"} +{"current_steps": 22120, "total_steps": 24897, "loss": 0.7166, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0810735867701614e-05, "epoch": 2.67, "percentage": 88.85, "elapsed_time": "11 days, 2:07:08", "remaining_time": "1 day, 9:24:33"} +{"current_steps": 22125, "total_steps": 24897, "loss": 0.7041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.077241026659464e-05, "epoch": 2.67, "percentage": 88.87, "elapsed_time": "11 days, 2:10:52", "remaining_time": "1 day, 9:20:57"} +{"current_steps": 22130, "total_steps": 24897, "loss": 0.7543, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0734150190615005e-05, "epoch": 2.67, "percentage": 88.89, "elapsed_time": "11 days, 2:14:36", "remaining_time": "1 day, 9:17:22"} +{"current_steps": 22135, "total_steps": 24897, "loss": 0.7908, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.069595565776914e-05, "epoch": 2.67, "percentage": 88.91, "elapsed_time": "11 days, 2:18:20", "remaining_time": "1 day, 9:13:46"} +{"current_steps": 22140, "total_steps": 24897, "loss": 0.8859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.06578266860327e-05, "epoch": 2.67, "percentage": 88.93, "elapsed_time": "11 days, 2:22:04", "remaining_time": "1 day, 9:10:10"} +{"current_steps": 22145, "total_steps": 24897, "loss": 0.865, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0619763293350447e-05, "epoch": 2.67, "percentage": 88.95, "elapsed_time": "11 days, 2:25:49", "remaining_time": "1 day, 9:06:35"} +{"current_steps": 22150, "total_steps": 24897, "loss": 0.767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0581765497636253e-05, "epoch": 2.67, "percentage": 88.97, "elapsed_time": "11 days, 2:29:33", "remaining_time": "1 day, 9:02:59"} +{"current_steps": 22155, "total_steps": 24897, "loss": 0.8292, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0543833316773127e-05, "epoch": 2.67, "percentage": 88.99, "elapsed_time": "11 days, 2:33:17", "remaining_time": "1 day, 8:59:23"} +{"current_steps": 22160, "total_steps": 24897, "loss": 0.8584, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0505966768613273e-05, "epoch": 2.67, "percentage": 89.01, "elapsed_time": "11 days, 2:37:01", "remaining_time": "1 day, 8:55:48"} +{"current_steps": 22165, "total_steps": 24897, "loss": 0.6859, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0468165870977901e-05, "epoch": 2.67, "percentage": 89.03, "elapsed_time": "11 days, 2:40:45", "remaining_time": "1 day, 8:52:12"} +{"current_steps": 22170, "total_steps": 24897, "loss": 0.8134, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0430430641657383e-05, "epoch": 2.67, "percentage": 89.05, "elapsed_time": "11 days, 2:44:30", "remaining_time": "1 day, 8:48:37"} +{"current_steps": 22175, "total_steps": 24897, "loss": 0.6928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0392761098411146e-05, "epoch": 2.67, "percentage": 89.07, "elapsed_time": "11 days, 2:48:14", "remaining_time": "1 day, 8:45:01"} +{"current_steps": 22180, "total_steps": 24897, "loss": 0.7652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0355157258967772e-05, "epoch": 2.67, "percentage": 89.09, "elapsed_time": "11 days, 2:51:58", "remaining_time": "1 day, 8:41:25"} +{"current_steps": 22185, "total_steps": 24897, "loss": 0.8082, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0317619141024858e-05, "epoch": 2.67, "percentage": 89.11, "elapsed_time": "11 days, 2:55:43", "remaining_time": "1 day, 8:37:50"} +{"current_steps": 22190, "total_steps": 24897, "loss": 0.7836, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.028014676224907e-05, "epoch": 2.67, "percentage": 89.13, "elapsed_time": "11 days, 2:59:27", "remaining_time": "1 day, 8:34:14"} +{"current_steps": 22195, "total_steps": 24897, "loss": 0.7332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0242740140276185e-05, "epoch": 2.67, "percentage": 89.15, "elapsed_time": "11 days, 3:03:11", "remaining_time": "1 day, 8:30:38"} +{"current_steps": 22200, "total_steps": 24897, "loss": 0.7333, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0205399292710969e-05, "epoch": 2.67, "percentage": 89.17, "elapsed_time": "11 days, 3:06:56", "remaining_time": "1 day, 8:27:03"} +{"current_steps": 22205, "total_steps": 24897, "loss": 0.7612, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0168124237127301e-05, "epoch": 2.68, "percentage": 89.19, "elapsed_time": "11 days, 3:10:46", "remaining_time": "1 day, 8:23:28"} +{"current_steps": 22210, "total_steps": 24897, "loss": 0.7863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0130914991068028e-05, "epoch": 2.68, "percentage": 89.21, "elapsed_time": "11 days, 3:14:30", "remaining_time": "1 day, 8:19:52"} +{"current_steps": 22215, "total_steps": 24897, "loss": 0.6993, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0093771572045045e-05, "epoch": 2.68, "percentage": 89.23, "elapsed_time": "11 days, 3:18:15", "remaining_time": "1 day, 8:16:17"} +{"current_steps": 22220, "total_steps": 24897, "loss": 0.7698, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0056693997539317e-05, "epoch": 2.68, "percentage": 89.25, "elapsed_time": "11 days, 3:21:59", "remaining_time": "1 day, 8:12:41"} +{"current_steps": 22225, "total_steps": 24897, "loss": 0.7347, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0019682285000785e-05, "epoch": 2.68, "percentage": 89.27, "elapsed_time": "11 days, 3:25:43", "remaining_time": "1 day, 8:09:05"} +{"current_steps": 22230, "total_steps": 24897, "loss": 0.7027, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.982736451848367e-06, "epoch": 2.68, "percentage": 89.29, "elapsed_time": "11 days, 3:29:27", "remaining_time": "1 day, 8:05:30"} +{"current_steps": 22235, "total_steps": 24897, "loss": 0.7767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.94585651546997e-06, "epoch": 2.68, "percentage": 89.31, "elapsed_time": "11 days, 3:33:11", "remaining_time": "1 day, 8:01:54"} +{"current_steps": 22240, "total_steps": 24897, "loss": 0.8047, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.90904249322259e-06, "epoch": 2.68, "percentage": 89.33, "elapsed_time": "11 days, 3:36:55", "remaining_time": "1 day, 7:58:18"} +{"current_steps": 22245, "total_steps": 24897, "loss": 0.7218, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.872294402432074e-06, "epoch": 2.68, "percentage": 89.35, "elapsed_time": "11 days, 3:40:39", "remaining_time": "1 day, 7:54:42"} +{"current_steps": 22250, "total_steps": 24897, "loss": 0.8415, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.835612260393316e-06, "epoch": 2.68, "percentage": 89.37, "elapsed_time": "11 days, 3:44:23", "remaining_time": "1 day, 7:51:07"} +{"current_steps": 22255, "total_steps": 24897, "loss": 0.8255, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.798996084370143e-06, "epoch": 2.68, "percentage": 89.39, "elapsed_time": "11 days, 3:48:07", "remaining_time": "1 day, 7:47:31"} +{"current_steps": 22260, "total_steps": 24897, "loss": 0.726, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.76244589159535e-06, "epoch": 2.68, "percentage": 89.41, "elapsed_time": "11 days, 3:51:52", "remaining_time": "1 day, 7:43:55"} +{"current_steps": 22265, "total_steps": 24897, "loss": 0.8232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.725961699270662e-06, "epoch": 2.68, "percentage": 89.43, "elapsed_time": "11 days, 3:55:36", "remaining_time": "1 day, 7:40:20"} +{"current_steps": 22270, "total_steps": 24897, "loss": 0.8129, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.689543524566746e-06, "epoch": 2.68, "percentage": 89.45, "elapsed_time": "11 days, 3:59:20", "remaining_time": "1 day, 7:36:44"} +{"current_steps": 22275, "total_steps": 24897, "loss": 0.7258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.653191384623204e-06, "epoch": 2.68, "percentage": 89.47, "elapsed_time": "11 days, 4:03:05", "remaining_time": "1 day, 7:33:08"} +{"current_steps": 22280, "total_steps": 24897, "loss": 0.863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.616905296548588e-06, "epoch": 2.68, "percentage": 89.49, "elapsed_time": "11 days, 4:06:49", "remaining_time": "1 day, 7:29:33"} +{"current_steps": 22285, "total_steps": 24897, "loss": 0.7227, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.58068527742032e-06, "epoch": 2.69, "percentage": 89.51, "elapsed_time": "11 days, 4:10:33", "remaining_time": "1 day, 7:25:57"} +{"current_steps": 22290, "total_steps": 24897, "loss": 0.7387, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.544531344284745e-06, "epoch": 2.69, "percentage": 89.53, "elapsed_time": "11 days, 4:14:17", "remaining_time": "1 day, 7:22:21"} +{"current_steps": 22295, "total_steps": 24897, "loss": 0.8297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.50844351415707e-06, "epoch": 2.69, "percentage": 89.55, "elapsed_time": "11 days, 4:18:02", "remaining_time": "1 day, 7:18:45"} +{"current_steps": 22300, "total_steps": 24897, "loss": 0.8567, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.47242180402148e-06, "epoch": 2.69, "percentage": 89.57, "elapsed_time": "11 days, 4:21:46", "remaining_time": "1 day, 7:15:10"} +{"current_steps": 22305, "total_steps": 24897, "loss": 0.6969, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.436466230830958e-06, "epoch": 2.69, "percentage": 89.59, "elapsed_time": "11 days, 4:25:32", "remaining_time": "1 day, 7:11:34"} +{"current_steps": 22310, "total_steps": 24897, "loss": 0.6078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.40057681150742e-06, "epoch": 2.69, "percentage": 89.61, "elapsed_time": "11 days, 4:29:17", "remaining_time": "1 day, 7:07:59"} +{"current_steps": 22315, "total_steps": 24897, "loss": 0.7343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.364753562941556e-06, "epoch": 2.69, "percentage": 89.63, "elapsed_time": "11 days, 4:33:01", "remaining_time": "1 day, 7:04:23"} +{"current_steps": 22320, "total_steps": 24897, "loss": 0.8018, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.328996501993047e-06, "epoch": 2.69, "percentage": 89.65, "elapsed_time": "11 days, 4:36:45", "remaining_time": "1 day, 7:00:47"} +{"current_steps": 22325, "total_steps": 24897, "loss": 0.7812, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.29330564549033e-06, "epoch": 2.69, "percentage": 89.67, "elapsed_time": "11 days, 4:40:29", "remaining_time": "1 day, 6:57:11"} +{"current_steps": 22330, "total_steps": 24897, "loss": 0.8695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.257681010230683e-06, "epoch": 2.69, "percentage": 89.69, "elapsed_time": "11 days, 4:44:13", "remaining_time": "1 day, 6:53:36"} +{"current_steps": 22335, "total_steps": 24897, "loss": 0.8006, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.222122612980281e-06, "epoch": 2.69, "percentage": 89.71, "elapsed_time": "11 days, 4:47:57", "remaining_time": "1 day, 6:50:00"} +{"current_steps": 22340, "total_steps": 24897, "loss": 0.8644, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.186630470474054e-06, "epoch": 2.69, "percentage": 89.73, "elapsed_time": "11 days, 4:51:42", "remaining_time": "1 day, 6:46:24"} +{"current_steps": 22345, "total_steps": 24897, "loss": 0.7324, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.15120459941579e-06, "epoch": 2.69, "percentage": 89.75, "elapsed_time": "11 days, 4:55:26", "remaining_time": "1 day, 6:42:48"} +{"current_steps": 22350, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.1158450164781e-06, "epoch": 2.69, "percentage": 89.77, "elapsed_time": "11 days, 4:59:10", "remaining_time": "1 day, 6:39:13"} +{"current_steps": 22355, "total_steps": 24897, "loss": 0.7065, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.080551738302328e-06, "epoch": 2.69, "percentage": 89.79, "elapsed_time": "11 days, 5:02:57", "remaining_time": "1 day, 6:35:37"} +{"current_steps": 22360, "total_steps": 24897, "loss": 0.8302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.04532478149873e-06, "epoch": 2.69, "percentage": 89.81, "elapsed_time": "11 days, 5:06:41", "remaining_time": "1 day, 6:32:01"} +{"current_steps": 22365, "total_steps": 24897, "loss": 0.8856, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.010164162646249e-06, "epoch": 2.69, "percentage": 89.83, "elapsed_time": "11 days, 5:10:25", "remaining_time": "1 day, 6:28:25"} +{"current_steps": 22370, "total_steps": 24897, "loss": 0.8106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.975069898292647e-06, "epoch": 2.7, "percentage": 89.85, "elapsed_time": "11 days, 5:14:10", "remaining_time": "1 day, 6:24:50"} +{"current_steps": 22375, "total_steps": 24897, "loss": 0.8389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.940042004954412e-06, "epoch": 2.7, "percentage": 89.87, "elapsed_time": "11 days, 5:17:54", "remaining_time": "1 day, 6:21:14"} +{"current_steps": 22380, "total_steps": 24897, "loss": 0.7696, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.90508049911689e-06, "epoch": 2.7, "percentage": 89.89, "elapsed_time": "11 days, 5:21:39", "remaining_time": "1 day, 6:17:38"} +{"current_steps": 22385, "total_steps": 24897, "loss": 0.7857, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.870185397234086e-06, "epoch": 2.7, "percentage": 89.91, "elapsed_time": "11 days, 5:25:24", "remaining_time": "1 day, 6:14:02"} +{"current_steps": 22390, "total_steps": 24897, "loss": 0.8041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.83535671572883e-06, "epoch": 2.7, "percentage": 89.93, "elapsed_time": "11 days, 5:29:07", "remaining_time": "1 day, 6:10:27"} +{"current_steps": 22395, "total_steps": 24897, "loss": 0.8143, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.800594470992611e-06, "epoch": 2.7, "percentage": 89.95, "elapsed_time": "11 days, 5:32:51", "remaining_time": "1 day, 6:06:51"} +{"current_steps": 22400, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.765898679385742e-06, "epoch": 2.7, "percentage": 89.97, "elapsed_time": "11 days, 5:36:37", "remaining_time": "1 day, 6:03:15"} +{"current_steps": 22405, "total_steps": 24897, "loss": 0.8495, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.731269357237192e-06, "epoch": 2.7, "percentage": 89.99, "elapsed_time": "11 days, 5:40:25", "remaining_time": "1 day, 5:59:40"} +{"current_steps": 22410, "total_steps": 24897, "loss": 0.8586, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.696706520844693e-06, "epoch": 2.7, "percentage": 90.01, "elapsed_time": "11 days, 5:44:09", "remaining_time": "1 day, 5:56:04"} +{"current_steps": 22415, "total_steps": 24897, "loss": 0.759, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.6622101864746e-06, "epoch": 2.7, "percentage": 90.03, "elapsed_time": "11 days, 5:47:54", "remaining_time": "1 day, 5:52:28"} +{"current_steps": 22420, "total_steps": 24897, "loss": 0.7185, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.627780370362108e-06, "epoch": 2.7, "percentage": 90.05, "elapsed_time": "11 days, 5:51:38", "remaining_time": "1 day, 5:48:52"} +{"current_steps": 22425, "total_steps": 24897, "loss": 0.8301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.593417088710992e-06, "epoch": 2.7, "percentage": 90.07, "elapsed_time": "11 days, 5:55:22", "remaining_time": "1 day, 5:45:16"} +{"current_steps": 22430, "total_steps": 24897, "loss": 0.8109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.55912035769376e-06, "epoch": 2.7, "percentage": 90.09, "elapsed_time": "11 days, 5:59:07", "remaining_time": "1 day, 5:41:41"} +{"current_steps": 22435, "total_steps": 24897, "loss": 0.722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.524890193451573e-06, "epoch": 2.7, "percentage": 90.11, "elapsed_time": "11 days, 6:02:51", "remaining_time": "1 day, 5:38:05"} +{"current_steps": 22440, "total_steps": 24897, "loss": 0.7022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.490726612094323e-06, "epoch": 2.7, "percentage": 90.13, "elapsed_time": "11 days, 6:06:36", "remaining_time": "1 day, 5:34:29"} +{"current_steps": 22445, "total_steps": 24897, "loss": 0.887, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.456629629700518e-06, "epoch": 2.7, "percentage": 90.15, "elapsed_time": "11 days, 6:10:20", "remaining_time": "1 day, 5:30:53"} +{"current_steps": 22450, "total_steps": 24897, "loss": 0.7021, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.422599262317303e-06, "epoch": 2.7, "percentage": 90.17, "elapsed_time": "11 days, 6:14:05", "remaining_time": "1 day, 5:27:17"} +{"current_steps": 22455, "total_steps": 24897, "loss": 0.7661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.388635525960503e-06, "epoch": 2.71, "percentage": 90.19, "elapsed_time": "11 days, 6:17:49", "remaining_time": "1 day, 5:23:42"} +{"current_steps": 22460, "total_steps": 24897, "loss": 0.7652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.35473843661461e-06, "epoch": 2.71, "percentage": 90.21, "elapsed_time": "11 days, 6:21:34", "remaining_time": "1 day, 5:20:06"} +{"current_steps": 22465, "total_steps": 24897, "loss": 0.7633, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.320908010232702e-06, "epoch": 2.71, "percentage": 90.23, "elapsed_time": "11 days, 6:25:19", "remaining_time": "1 day, 5:16:30"} +{"current_steps": 22470, "total_steps": 24897, "loss": 0.749, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.287144262736506e-06, "epoch": 2.71, "percentage": 90.25, "elapsed_time": "11 days, 6:29:05", "remaining_time": "1 day, 5:12:54"} +{"current_steps": 22475, "total_steps": 24897, "loss": 0.7667, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.253447210016363e-06, "epoch": 2.71, "percentage": 90.27, "elapsed_time": "11 days, 6:32:50", "remaining_time": "1 day, 5:09:19"} +{"current_steps": 22480, "total_steps": 24897, "loss": 0.7629, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.219816867931218e-06, "epoch": 2.71, "percentage": 90.29, "elapsed_time": "11 days, 6:36:35", "remaining_time": "1 day, 5:05:43"} +{"current_steps": 22485, "total_steps": 24897, "loss": 0.7007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.18625325230861e-06, "epoch": 2.71, "percentage": 90.31, "elapsed_time": "11 days, 6:40:18", "remaining_time": "1 day, 5:02:07"} +{"current_steps": 22490, "total_steps": 24897, "loss": 0.7708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.152756378944708e-06, "epoch": 2.71, "percentage": 90.33, "elapsed_time": "11 days, 6:44:04", "remaining_time": "1 day, 4:58:31"} +{"current_steps": 22495, "total_steps": 24897, "loss": 0.8003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.119326263604281e-06, "epoch": 2.71, "percentage": 90.35, "elapsed_time": "11 days, 6:47:49", "remaining_time": "1 day, 4:54:55"} +{"current_steps": 22500, "total_steps": 24897, "loss": 0.8165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.085962922020611e-06, "epoch": 2.71, "percentage": 90.37, "elapsed_time": "11 days, 6:51:33", "remaining_time": "1 day, 4:51:19"} +{"current_steps": 22505, "total_steps": 24897, "loss": 0.7817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.052666369895622e-06, "epoch": 2.71, "percentage": 90.39, "elapsed_time": "11 days, 6:55:21", "remaining_time": "1 day, 4:47:44"} +{"current_steps": 22510, "total_steps": 24897, "loss": 0.7616, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.019436622899727e-06, "epoch": 2.71, "percentage": 90.41, "elapsed_time": "11 days, 6:59:06", "remaining_time": "1 day, 4:44:08"} +{"current_steps": 22515, "total_steps": 24897, "loss": 0.7928, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.986273696672019e-06, "epoch": 2.71, "percentage": 90.43, "elapsed_time": "11 days, 7:02:50", "remaining_time": "1 day, 4:40:32"} +{"current_steps": 22520, "total_steps": 24897, "loss": 0.8722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.953177606820044e-06, "epoch": 2.71, "percentage": 90.45, "elapsed_time": "11 days, 7:06:36", "remaining_time": "1 day, 4:36:57"} +{"current_steps": 22525, "total_steps": 24897, "loss": 0.6978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.92014836891991e-06, "epoch": 2.71, "percentage": 90.47, "elapsed_time": "11 days, 7:10:20", "remaining_time": "1 day, 4:33:21"} +{"current_steps": 22530, "total_steps": 24897, "loss": 0.7766, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.887185998516266e-06, "epoch": 2.71, "percentage": 90.49, "elapsed_time": "11 days, 7:14:03", "remaining_time": "1 day, 4:29:45"} +{"current_steps": 22535, "total_steps": 24897, "loss": 0.7389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.85429051112232e-06, "epoch": 2.72, "percentage": 90.51, "elapsed_time": "11 days, 7:17:47", "remaining_time": "1 day, 4:26:09"} +{"current_steps": 22540, "total_steps": 24897, "loss": 0.8625, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.821461922219769e-06, "epoch": 2.72, "percentage": 90.53, "elapsed_time": "11 days, 7:21:31", "remaining_time": "1 day, 4:22:33"} +{"current_steps": 22545, "total_steps": 24897, "loss": 0.734, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.788700247258855e-06, "epoch": 2.72, "percentage": 90.55, "elapsed_time": "11 days, 7:25:15", "remaining_time": "1 day, 4:18:57"} +{"current_steps": 22550, "total_steps": 24897, "loss": 0.7485, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.756005501658297e-06, "epoch": 2.72, "percentage": 90.57, "elapsed_time": "11 days, 7:29:00", "remaining_time": "1 day, 4:15:21"} +{"current_steps": 22555, "total_steps": 24897, "loss": 0.7913, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.723377700805316e-06, "epoch": 2.72, "percentage": 90.59, "elapsed_time": "11 days, 7:32:45", "remaining_time": "1 day, 4:11:45"} +{"current_steps": 22560, "total_steps": 24897, "loss": 0.7763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.690816860055648e-06, "epoch": 2.72, "percentage": 90.61, "elapsed_time": "11 days, 7:36:29", "remaining_time": "1 day, 4:08:09"} +{"current_steps": 22565, "total_steps": 24897, "loss": 0.7291, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.658322994733517e-06, "epoch": 2.72, "percentage": 90.63, "elapsed_time": "11 days, 7:40:13", "remaining_time": "1 day, 4:04:33"} +{"current_steps": 22570, "total_steps": 24897, "loss": 0.8022, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.625896120131575e-06, "epoch": 2.72, "percentage": 90.65, "elapsed_time": "11 days, 7:43:58", "remaining_time": "1 day, 4:00:57"} +{"current_steps": 22575, "total_steps": 24897, "loss": 0.751, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.593536251511045e-06, "epoch": 2.72, "percentage": 90.67, "elapsed_time": "11 days, 7:47:44", "remaining_time": "1 day, 3:57:22"} +{"current_steps": 22580, "total_steps": 24897, "loss": 0.737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.5612434041015305e-06, "epoch": 2.72, "percentage": 90.69, "elapsed_time": "11 days, 7:51:29", "remaining_time": "1 day, 3:53:46"} +{"current_steps": 22585, "total_steps": 24897, "loss": 0.8416, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.529017593101105e-06, "epoch": 2.72, "percentage": 90.71, "elapsed_time": "11 days, 7:55:13", "remaining_time": "1 day, 3:50:10"} +{"current_steps": 22590, "total_steps": 24897, "loss": 0.7729, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.496858833676306e-06, "epoch": 2.72, "percentage": 90.73, "elapsed_time": "11 days, 7:58:58", "remaining_time": "1 day, 3:46:34"} +{"current_steps": 22595, "total_steps": 24897, "loss": 0.7394, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.464767140962124e-06, "epoch": 2.72, "percentage": 90.75, "elapsed_time": "11 days, 8:02:43", "remaining_time": "1 day, 3:42:58"} +{"current_steps": 22600, "total_steps": 24897, "loss": 0.8007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.432742530061997e-06, "epoch": 2.72, "percentage": 90.77, "elapsed_time": "11 days, 8:06:27", "remaining_time": "1 day, 3:39:22"} +{"current_steps": 22605, "total_steps": 24897, "loss": 0.8045, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.400785016047733e-06, "epoch": 2.72, "percentage": 90.79, "elapsed_time": "11 days, 8:10:19", "remaining_time": "1 day, 3:35:47"} +{"current_steps": 22610, "total_steps": 24897, "loss": 0.8114, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.3688946139596025e-06, "epoch": 2.72, "percentage": 90.81, "elapsed_time": "11 days, 8:14:05", "remaining_time": "1 day, 3:32:11"} +{"current_steps": 22615, "total_steps": 24897, "loss": 0.7672, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.3370713388063165e-06, "epoch": 2.72, "percentage": 90.83, "elapsed_time": "11 days, 8:17:51", "remaining_time": "1 day, 3:28:35"} +{"current_steps": 22620, "total_steps": 24897, "loss": 0.7258, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.30531520556496e-06, "epoch": 2.73, "percentage": 90.85, "elapsed_time": "11 days, 8:21:35", "remaining_time": "1 day, 3:24:59"} +{"current_steps": 22625, "total_steps": 24897, "loss": 0.8177, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.273626229180995e-06, "epoch": 2.73, "percentage": 90.87, "elapsed_time": "11 days, 8:25:20", "remaining_time": "1 day, 3:21:23"} +{"current_steps": 22630, "total_steps": 24897, "loss": 0.7124, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.242004424568309e-06, "epoch": 2.73, "percentage": 90.89, "elapsed_time": "11 days, 8:29:04", "remaining_time": "1 day, 3:17:47"} +{"current_steps": 22635, "total_steps": 24897, "loss": 0.8062, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.210449806609197e-06, "epoch": 2.73, "percentage": 90.91, "elapsed_time": "11 days, 8:32:49", "remaining_time": "1 day, 3:14:11"} +{"current_steps": 22640, "total_steps": 24897, "loss": 0.8824, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.178962390154314e-06, "epoch": 2.73, "percentage": 90.93, "elapsed_time": "11 days, 8:36:34", "remaining_time": "1 day, 3:10:35"} +{"current_steps": 22645, "total_steps": 24897, "loss": 0.6664, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.1475421900226705e-06, "epoch": 2.73, "percentage": 90.95, "elapsed_time": "11 days, 8:40:18", "remaining_time": "1 day, 3:07:00"} +{"current_steps": 22650, "total_steps": 24897, "loss": 0.7975, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.116189221001622e-06, "epoch": 2.73, "percentage": 90.97, "elapsed_time": "11 days, 8:44:03", "remaining_time": "1 day, 3:03:24"} +{"current_steps": 22655, "total_steps": 24897, "loss": 0.7969, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.084903497846983e-06, "epoch": 2.73, "percentage": 90.99, "elapsed_time": "11 days, 8:47:48", "remaining_time": "1 day, 2:59:48"} +{"current_steps": 22660, "total_steps": 24897, "loss": 0.7862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.053685035282808e-06, "epoch": 2.73, "percentage": 91.01, "elapsed_time": "11 days, 8:51:33", "remaining_time": "1 day, 2:56:12"} +{"current_steps": 22665, "total_steps": 24897, "loss": 0.6927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.02253384800156e-06, "epoch": 2.73, "percentage": 91.04, "elapsed_time": "11 days, 8:55:18", "remaining_time": "1 day, 2:52:36"} +{"current_steps": 22670, "total_steps": 24897, "loss": 0.7441, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.9914499506640135e-06, "epoch": 2.73, "percentage": 91.06, "elapsed_time": "11 days, 8:59:03", "remaining_time": "1 day, 2:49:00"} +{"current_steps": 22675, "total_steps": 24897, "loss": 0.8208, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.960433357899281e-06, "epoch": 2.73, "percentage": 91.08, "elapsed_time": "11 days, 9:02:48", "remaining_time": "1 day, 2:45:24"} +{"current_steps": 22680, "total_steps": 24897, "loss": 0.732, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.929484084304837e-06, "epoch": 2.73, "percentage": 91.1, "elapsed_time": "11 days, 9:06:33", "remaining_time": "1 day, 2:41:48"} +{"current_steps": 22685, "total_steps": 24897, "loss": 0.7454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.89860214444638e-06, "epoch": 2.73, "percentage": 91.12, "elapsed_time": "11 days, 9:10:17", "remaining_time": "1 day, 2:38:12"} +{"current_steps": 22690, "total_steps": 24897, "loss": 0.767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.8677875528580176e-06, "epoch": 2.73, "percentage": 91.14, "elapsed_time": "11 days, 9:14:02", "remaining_time": "1 day, 2:34:36"} +{"current_steps": 22695, "total_steps": 24897, "loss": 0.7894, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.8370403240421146e-06, "epoch": 2.73, "percentage": 91.16, "elapsed_time": "11 days, 9:17:47", "remaining_time": "1 day, 2:31:00"} +{"current_steps": 22700, "total_steps": 24897, "loss": 0.8088, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.806360472469313e-06, "epoch": 2.74, "percentage": 91.18, "elapsed_time": "11 days, 9:21:32", "remaining_time": "1 day, 2:27:24"} +{"current_steps": 22705, "total_steps": 24897, "loss": 0.756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.775748012578597e-06, "epoch": 2.74, "percentage": 91.2, "elapsed_time": "11 days, 9:25:22", "remaining_time": "1 day, 2:23:49"} +{"current_steps": 22710, "total_steps": 24897, "loss": 0.8471, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.745202958777174e-06, "epoch": 2.74, "percentage": 91.22, "elapsed_time": "11 days, 9:29:08", "remaining_time": "1 day, 2:20:13"} +{"current_steps": 22715, "total_steps": 24897, "loss": 0.7465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.714725325440595e-06, "epoch": 2.74, "percentage": 91.24, "elapsed_time": "11 days, 9:32:52", "remaining_time": "1 day, 2:16:37"} +{"current_steps": 22720, "total_steps": 24897, "loss": 0.7873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.684315126912654e-06, "epoch": 2.74, "percentage": 91.26, "elapsed_time": "11 days, 9:36:37", "remaining_time": "1 day, 2:13:01"} +{"current_steps": 22725, "total_steps": 24897, "loss": 0.7363, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.653972377505368e-06, "epoch": 2.74, "percentage": 91.28, "elapsed_time": "11 days, 9:40:22", "remaining_time": "1 day, 2:09:25"} +{"current_steps": 22730, "total_steps": 24897, "loss": 0.7821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.623697091499031e-06, "epoch": 2.74, "percentage": 91.3, "elapsed_time": "11 days, 9:44:07", "remaining_time": "1 day, 2:05:49"} +{"current_steps": 22735, "total_steps": 24897, "loss": 0.7395, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.5934892831422616e-06, "epoch": 2.74, "percentage": 91.32, "elapsed_time": "11 days, 9:47:52", "remaining_time": "1 day, 2:02:13"} +{"current_steps": 22740, "total_steps": 24897, "loss": 0.7934, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.563348966651805e-06, "epoch": 2.74, "percentage": 91.34, "elapsed_time": "11 days, 9:51:37", "remaining_time": "1 day, 1:58:37"} +{"current_steps": 22745, "total_steps": 24897, "loss": 0.8421, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.533276156212697e-06, "epoch": 2.74, "percentage": 91.36, "elapsed_time": "11 days, 9:55:22", "remaining_time": "1 day, 1:55:01"} +{"current_steps": 22750, "total_steps": 24897, "loss": 0.749, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.503270865978216e-06, "epoch": 2.74, "percentage": 91.38, "elapsed_time": "11 days, 9:59:07", "remaining_time": "1 day, 1:51:25"} +{"current_steps": 22755, "total_steps": 24897, "loss": 0.7861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.47333311006985e-06, "epoch": 2.74, "percentage": 91.4, "elapsed_time": "11 days, 10:02:52", "remaining_time": "1 day, 1:47:49"} +{"current_steps": 22760, "total_steps": 24897, "loss": 0.8529, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.443462902577296e-06, "epoch": 2.74, "percentage": 91.42, "elapsed_time": "11 days, 10:06:37", "remaining_time": "1 day, 1:44:13"} +{"current_steps": 22765, "total_steps": 24897, "loss": 0.8501, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.413660257558473e-06, "epoch": 2.74, "percentage": 91.44, "elapsed_time": "11 days, 10:10:21", "remaining_time": "1 day, 1:40:37"} +{"current_steps": 22770, "total_steps": 24897, "loss": 0.7397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.383925189039479e-06, "epoch": 2.74, "percentage": 91.46, "elapsed_time": "11 days, 10:14:06", "remaining_time": "1 day, 1:37:01"} +{"current_steps": 22775, "total_steps": 24897, "loss": 0.781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.3542577110146375e-06, "epoch": 2.74, "percentage": 91.48, "elapsed_time": "11 days, 10:17:51", "remaining_time": "1 day, 1:33:25"} +{"current_steps": 22780, "total_steps": 24897, "loss": 0.7687, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.324657837446445e-06, "epoch": 2.74, "percentage": 91.5, "elapsed_time": "11 days, 10:21:36", "remaining_time": "1 day, 1:29:48"} +{"current_steps": 22785, "total_steps": 24897, "loss": 0.8329, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.295125582265575e-06, "epoch": 2.75, "percentage": 91.52, "elapsed_time": "11 days, 10:25:21", "remaining_time": "1 day, 1:26:12"} +{"current_steps": 22790, "total_steps": 24897, "loss": 0.7668, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.265660959370894e-06, "epoch": 2.75, "percentage": 91.54, "elapsed_time": "11 days, 10:29:06", "remaining_time": "1 day, 1:22:36"} +{"current_steps": 22795, "total_steps": 24897, "loss": 0.7561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.236263982629441e-06, "epoch": 2.75, "percentage": 91.56, "elapsed_time": "11 days, 10:32:51", "remaining_time": "1 day, 1:19:00"} +{"current_steps": 22800, "total_steps": 24897, "loss": 0.8031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.206934665876417e-06, "epoch": 2.75, "percentage": 91.58, "elapsed_time": "11 days, 10:36:36", "remaining_time": "1 day, 1:15:24"} +{"current_steps": 22805, "total_steps": 24897, "loss": 0.7609, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.177673022915147e-06, "epoch": 2.75, "percentage": 91.6, "elapsed_time": "11 days, 10:40:27", "remaining_time": "1 day, 1:11:49"} +{"current_steps": 22810, "total_steps": 24897, "loss": 0.6878, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.1484790675171315e-06, "epoch": 2.75, "percentage": 91.62, "elapsed_time": "11 days, 10:44:13", "remaining_time": "1 day, 1:08:13"} +{"current_steps": 22815, "total_steps": 24897, "loss": 0.8334, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.119352813422046e-06, "epoch": 2.75, "percentage": 91.64, "elapsed_time": "11 days, 10:47:58", "remaining_time": "1 day, 1:04:37"} +{"current_steps": 22820, "total_steps": 24897, "loss": 0.7561, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.09029427433766e-06, "epoch": 2.75, "percentage": 91.66, "elapsed_time": "11 days, 10:51:43", "remaining_time": "1 day, 1:01:01"} +{"current_steps": 22825, "total_steps": 24897, "loss": 0.8201, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.061303463939882e-06, "epoch": 2.75, "percentage": 91.68, "elapsed_time": "11 days, 10:55:28", "remaining_time": "1 day, 0:57:25"} +{"current_steps": 22830, "total_steps": 24897, "loss": 0.7778, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.032380395872732e-06, "epoch": 2.75, "percentage": 91.7, "elapsed_time": "11 days, 10:59:13", "remaining_time": "1 day, 0:53:49"} +{"current_steps": 22835, "total_steps": 24897, "loss": 0.7376, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.003525083748406e-06, "epoch": 2.75, "percentage": 91.72, "elapsed_time": "11 days, 11:02:59", "remaining_time": "1 day, 0:50:13"} +{"current_steps": 22840, "total_steps": 24897, "loss": 0.8031, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.97473754114714e-06, "epoch": 2.75, "percentage": 91.74, "elapsed_time": "11 days, 11:06:43", "remaining_time": "1 day, 0:46:37"} +{"current_steps": 22845, "total_steps": 24897, "loss": 0.7715, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.946017781617329e-06, "epoch": 2.75, "percentage": 91.76, "elapsed_time": "11 days, 11:10:29", "remaining_time": "1 day, 0:43:01"} +{"current_steps": 22850, "total_steps": 24897, "loss": 0.8772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.917365818675396e-06, "epoch": 2.75, "percentage": 91.78, "elapsed_time": "11 days, 11:14:15", "remaining_time": "1 day, 0:39:25"} +{"current_steps": 22855, "total_steps": 24897, "loss": 0.9072, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.888781665805986e-06, "epoch": 2.75, "percentage": 91.8, "elapsed_time": "11 days, 11:18:00", "remaining_time": "1 day, 0:35:48"} +{"current_steps": 22860, "total_steps": 24897, "loss": 0.6898, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.860265336461689e-06, "epoch": 2.75, "percentage": 91.82, "elapsed_time": "11 days, 11:21:44", "remaining_time": "1 day, 0:32:12"} +{"current_steps": 22865, "total_steps": 24897, "loss": 0.8437, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.8318168440632695e-06, "epoch": 2.75, "percentage": 91.84, "elapsed_time": "11 days, 11:25:28", "remaining_time": "1 day, 0:28:36"} +{"current_steps": 22870, "total_steps": 24897, "loss": 0.7131, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.8034362019995e-06, "epoch": 2.76, "percentage": 91.86, "elapsed_time": "11 days, 11:29:12", "remaining_time": "1 day, 0:25:00"} +{"current_steps": 22875, "total_steps": 24897, "loss": 0.7976, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.775123423627298e-06, "epoch": 2.76, "percentage": 91.88, "elapsed_time": "11 days, 11:32:57", "remaining_time": "1 day, 0:21:24"} +{"current_steps": 22880, "total_steps": 24897, "loss": 0.711, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.746878522271553e-06, "epoch": 2.76, "percentage": 91.9, "elapsed_time": "11 days, 11:36:42", "remaining_time": "1 day, 0:17:48"} +{"current_steps": 22885, "total_steps": 24897, "loss": 0.6827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.718701511225299e-06, "epoch": 2.76, "percentage": 91.92, "elapsed_time": "11 days, 11:40:27", "remaining_time": "1 day, 0:14:12"} +{"current_steps": 22890, "total_steps": 24897, "loss": 0.7927, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.690592403749511e-06, "epoch": 2.76, "percentage": 91.94, "elapsed_time": "11 days, 11:44:12", "remaining_time": "1 day, 0:10:36"} +{"current_steps": 22895, "total_steps": 24897, "loss": 0.9032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.662551213073324e-06, "epoch": 2.76, "percentage": 91.96, "elapsed_time": "11 days, 11:47:58", "remaining_time": "1 day, 0:06:59"} +{"current_steps": 22900, "total_steps": 24897, "loss": 0.7843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.634577952393848e-06, "epoch": 2.76, "percentage": 91.98, "elapsed_time": "11 days, 11:51:43", "remaining_time": "1 day, 0:03:23"} +{"current_steps": 22905, "total_steps": 24897, "loss": 0.8433, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.606672634876203e-06, "epoch": 2.76, "percentage": 92.0, "elapsed_time": "11 days, 11:55:35", "remaining_time": "23:59:48"} +{"current_steps": 22910, "total_steps": 24897, "loss": 0.7116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.578835273653581e-06, "epoch": 2.76, "percentage": 92.02, "elapsed_time": "11 days, 11:59:21", "remaining_time": "23:56:12"} +{"current_steps": 22915, "total_steps": 24897, "loss": 0.7504, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.551065881827138e-06, "epoch": 2.76, "percentage": 92.04, "elapsed_time": "11 days, 12:03:07", "remaining_time": "23:52:36"} +{"current_steps": 22920, "total_steps": 24897, "loss": 0.7319, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.523364472466118e-06, "epoch": 2.76, "percentage": 92.06, "elapsed_time": "11 days, 12:06:52", "remaining_time": "23:49:00"} +{"current_steps": 22925, "total_steps": 24897, "loss": 0.8248, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.495731058607677e-06, "epoch": 2.76, "percentage": 92.08, "elapsed_time": "11 days, 12:10:37", "remaining_time": "23:45:23"} +{"current_steps": 22930, "total_steps": 24897, "loss": 0.8477, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.468165653257028e-06, "epoch": 2.76, "percentage": 92.1, "elapsed_time": "11 days, 12:14:23", "remaining_time": "23:41:47"} +{"current_steps": 22935, "total_steps": 24897, "loss": 0.7868, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.440668269387394e-06, "epoch": 2.76, "percentage": 92.12, "elapsed_time": "11 days, 12:18:08", "remaining_time": "23:38:11"} +{"current_steps": 22940, "total_steps": 24897, "loss": 0.7796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.4132389199399384e-06, "epoch": 2.76, "percentage": 92.14, "elapsed_time": "11 days, 12:21:54", "remaining_time": "23:34:35"} +{"current_steps": 22945, "total_steps": 24897, "loss": 0.8571, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.385877617823819e-06, "epoch": 2.76, "percentage": 92.16, "elapsed_time": "11 days, 12:25:39", "remaining_time": "23:30:59"} +{"current_steps": 22950, "total_steps": 24897, "loss": 0.775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.35858437591617e-06, "epoch": 2.77, "percentage": 92.18, "elapsed_time": "11 days, 12:29:25", "remaining_time": "23:27:23"} +{"current_steps": 22955, "total_steps": 24897, "loss": 0.706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.33135920706213e-06, "epoch": 2.77, "percentage": 92.2, "elapsed_time": "11 days, 12:33:09", "remaining_time": "23:23:47"} +{"current_steps": 22960, "total_steps": 24897, "loss": 0.7191, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.304202124074736e-06, "epoch": 2.77, "percentage": 92.22, "elapsed_time": "11 days, 12:36:54", "remaining_time": "23:20:11"} +{"current_steps": 22965, "total_steps": 24897, "loss": 0.7106, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.277113139735012e-06, "epoch": 2.77, "percentage": 92.24, "elapsed_time": "11 days, 12:40:40", "remaining_time": "23:16:34"} +{"current_steps": 22970, "total_steps": 24897, "loss": 0.7427, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.250092266791944e-06, "epoch": 2.77, "percentage": 92.26, "elapsed_time": "11 days, 12:44:25", "remaining_time": "23:12:58"} +{"current_steps": 22975, "total_steps": 24897, "loss": 0.7188, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.22313951796246e-06, "epoch": 2.77, "percentage": 92.28, "elapsed_time": "11 days, 12:48:10", "remaining_time": "23:09:22"} +{"current_steps": 22980, "total_steps": 24897, "loss": 0.9263, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.196254905931413e-06, "epoch": 2.77, "percentage": 92.3, "elapsed_time": "11 days, 12:51:55", "remaining_time": "23:05:46"} +{"current_steps": 22985, "total_steps": 24897, "loss": 0.6889, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.169438443351581e-06, "epoch": 2.77, "percentage": 92.32, "elapsed_time": "11 days, 12:55:40", "remaining_time": "23:02:10"} +{"current_steps": 22990, "total_steps": 24897, "loss": 0.6934, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.142690142843703e-06, "epoch": 2.77, "percentage": 92.34, "elapsed_time": "11 days, 12:59:25", "remaining_time": "22:58:34"} +{"current_steps": 22995, "total_steps": 24897, "loss": 0.8041, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.116010016996392e-06, "epoch": 2.77, "percentage": 92.36, "elapsed_time": "11 days, 13:03:10", "remaining_time": "22:54:57"} +{"current_steps": 23000, "total_steps": 24897, "loss": 0.8116, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.089398078366219e-06, "epoch": 2.77, "percentage": 92.38, "elapsed_time": "11 days, 13:06:56", "remaining_time": "22:51:21"} +{"current_steps": 23005, "total_steps": 24897, "loss": 0.8767, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.062854339477634e-06, "epoch": 2.77, "percentage": 92.4, "elapsed_time": "11 days, 13:10:47", "remaining_time": "22:47:45"} +{"current_steps": 23010, "total_steps": 24897, "loss": 0.7819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.036378812823028e-06, "epoch": 2.77, "percentage": 92.42, "elapsed_time": "11 days, 13:14:32", "remaining_time": "22:44:09"} +{"current_steps": 23015, "total_steps": 24897, "loss": 0.82, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.0099715108626485e-06, "epoch": 2.77, "percentage": 92.44, "elapsed_time": "11 days, 13:18:18", "remaining_time": "22:40:33"} +{"current_steps": 23020, "total_steps": 24897, "loss": 0.8301, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.983632446024638e-06, "epoch": 2.77, "percentage": 92.46, "elapsed_time": "11 days, 13:22:03", "remaining_time": "22:36:57"} +{"current_steps": 23025, "total_steps": 24897, "loss": 0.7167, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.957361630705031e-06, "epoch": 2.77, "percentage": 92.48, "elapsed_time": "11 days, 13:25:48", "remaining_time": "22:33:21"} +{"current_steps": 23030, "total_steps": 24897, "loss": 0.8002, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.931159077267771e-06, "epoch": 2.77, "percentage": 92.5, "elapsed_time": "11 days, 13:29:33", "remaining_time": "22:29:44"} +{"current_steps": 23035, "total_steps": 24897, "loss": 0.7175, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.905024798044627e-06, "epoch": 2.78, "percentage": 92.52, "elapsed_time": "11 days, 13:33:18", "remaining_time": "22:26:08"} +{"current_steps": 23040, "total_steps": 24897, "loss": 0.7755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.878958805335276e-06, "epoch": 2.78, "percentage": 92.54, "elapsed_time": "11 days, 13:37:04", "remaining_time": "22:22:32"} +{"current_steps": 23045, "total_steps": 24897, "loss": 0.787, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.852961111407239e-06, "epoch": 2.78, "percentage": 92.56, "elapsed_time": "11 days, 13:40:48", "remaining_time": "22:18:56"} +{"current_steps": 23050, "total_steps": 24897, "loss": 0.8296, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.827031728495878e-06, "epoch": 2.78, "percentage": 92.58, "elapsed_time": "11 days, 13:44:33", "remaining_time": "22:15:20"} +{"current_steps": 23055, "total_steps": 24897, "loss": 0.7147, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.801170668804433e-06, "epoch": 2.78, "percentage": 92.6, "elapsed_time": "11 days, 13:48:19", "remaining_time": "22:11:43"} +{"current_steps": 23060, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.775377944503983e-06, "epoch": 2.78, "percentage": 92.62, "elapsed_time": "11 days, 13:52:04", "remaining_time": "22:08:07"} +{"current_steps": 23065, "total_steps": 24897, "loss": 0.7937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.749653567733402e-06, "epoch": 2.78, "percentage": 92.64, "elapsed_time": "11 days, 13:55:50", "remaining_time": "22:04:31"} +{"current_steps": 23070, "total_steps": 24897, "loss": 0.758, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.72399755059949e-06, "epoch": 2.78, "percentage": 92.66, "elapsed_time": "11 days, 13:59:35", "remaining_time": "22:00:55"} +{"current_steps": 23075, "total_steps": 24897, "loss": 0.7798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.698409905176803e-06, "epoch": 2.78, "percentage": 92.68, "elapsed_time": "11 days, 14:03:21", "remaining_time": "21:57:18"} +{"current_steps": 23080, "total_steps": 24897, "loss": 0.8077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.672890643507727e-06, "epoch": 2.78, "percentage": 92.7, "elapsed_time": "11 days, 14:07:06", "remaining_time": "21:53:42"} +{"current_steps": 23085, "total_steps": 24897, "loss": 0.6943, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.647439777602469e-06, "epoch": 2.78, "percentage": 92.72, "elapsed_time": "11 days, 14:10:52", "remaining_time": "21:50:06"} +{"current_steps": 23090, "total_steps": 24897, "loss": 0.7912, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.6220573194390655e-06, "epoch": 2.78, "percentage": 92.74, "elapsed_time": "11 days, 14:14:37", "remaining_time": "21:46:30"} +{"current_steps": 23095, "total_steps": 24897, "loss": 0.7841, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.596743280963344e-06, "epoch": 2.78, "percentage": 92.76, "elapsed_time": "11 days, 14:18:22", "remaining_time": "21:42:54"} +{"current_steps": 23100, "total_steps": 24897, "loss": 0.8184, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.571497674088925e-06, "epoch": 2.78, "percentage": 92.78, "elapsed_time": "11 days, 14:22:09", "remaining_time": "21:39:17"} +{"current_steps": 23105, "total_steps": 24897, "loss": 0.7237, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.546320510697221e-06, "epoch": 2.78, "percentage": 92.8, "elapsed_time": "11 days, 14:25:56", "remaining_time": "21:35:41"} +{"current_steps": 23110, "total_steps": 24897, "loss": 0.7937, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.52121180263747e-06, "epoch": 2.78, "percentage": 92.82, "elapsed_time": "11 days, 14:29:43", "remaining_time": "21:32:05"} +{"current_steps": 23115, "total_steps": 24897, "loss": 0.8146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.496171561726636e-06, "epoch": 2.79, "percentage": 92.84, "elapsed_time": "11 days, 14:33:28", "remaining_time": "21:28:29"} +{"current_steps": 23120, "total_steps": 24897, "loss": 0.719, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.471199799749508e-06, "epoch": 2.79, "percentage": 92.86, "elapsed_time": "11 days, 14:37:14", "remaining_time": "21:24:53"} +{"current_steps": 23125, "total_steps": 24897, "loss": 0.8397, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.446296528458604e-06, "epoch": 2.79, "percentage": 92.88, "elapsed_time": "11 days, 14:40:59", "remaining_time": "21:21:16"} +{"current_steps": 23130, "total_steps": 24897, "loss": 0.708, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.421461759574247e-06, "epoch": 2.79, "percentage": 92.9, "elapsed_time": "11 days, 14:44:45", "remaining_time": "21:17:40"} +{"current_steps": 23135, "total_steps": 24897, "loss": 0.7077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.396695504784503e-06, "epoch": 2.79, "percentage": 92.92, "elapsed_time": "11 days, 14:48:30", "remaining_time": "21:14:04"} +{"current_steps": 23140, "total_steps": 24897, "loss": 0.6999, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.371997775745184e-06, "epoch": 2.79, "percentage": 92.94, "elapsed_time": "11 days, 14:52:15", "remaining_time": "21:10:27"} +{"current_steps": 23145, "total_steps": 24897, "loss": 0.8967, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.347368584079858e-06, "epoch": 2.79, "percentage": 92.96, "elapsed_time": "11 days, 14:56:01", "remaining_time": "21:06:51"} +{"current_steps": 23150, "total_steps": 24897, "loss": 0.7981, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.322807941379869e-06, "epoch": 2.79, "percentage": 92.98, "elapsed_time": "11 days, 14:59:46", "remaining_time": "21:03:15"} +{"current_steps": 23155, "total_steps": 24897, "loss": 0.7353, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.298315859204254e-06, "epoch": 2.79, "percentage": 93.0, "elapsed_time": "11 days, 15:03:31", "remaining_time": "20:59:39"} +{"current_steps": 23160, "total_steps": 24897, "loss": 0.8716, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.273892349079794e-06, "epoch": 2.79, "percentage": 93.02, "elapsed_time": "11 days, 15:07:17", "remaining_time": "20:56:02"} +{"current_steps": 23165, "total_steps": 24897, "loss": 0.7564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.249537422500992e-06, "epoch": 2.79, "percentage": 93.04, "elapsed_time": "11 days, 15:11:02", "remaining_time": "20:52:26"} +{"current_steps": 23170, "total_steps": 24897, "loss": 0.7422, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.225251090930132e-06, "epoch": 2.79, "percentage": 93.06, "elapsed_time": "11 days, 15:14:48", "remaining_time": "20:48:50"} +{"current_steps": 23175, "total_steps": 24897, "loss": 0.7439, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.201033365797119e-06, "epoch": 2.79, "percentage": 93.08, "elapsed_time": "11 days, 15:18:33", "remaining_time": "20:45:13"} +{"current_steps": 23180, "total_steps": 24897, "loss": 0.8764, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.176884258499652e-06, "epoch": 2.79, "percentage": 93.1, "elapsed_time": "11 days, 15:22:18", "remaining_time": "20:41:37"} +{"current_steps": 23185, "total_steps": 24897, "loss": 0.8168, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.152803780403058e-06, "epoch": 2.79, "percentage": 93.12, "elapsed_time": "11 days, 15:26:04", "remaining_time": "20:38:01"} +{"current_steps": 23190, "total_steps": 24897, "loss": 0.84, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.12879194284047e-06, "epoch": 2.79, "percentage": 93.14, "elapsed_time": "11 days, 15:29:45", "remaining_time": "20:34:24"} +{"current_steps": 23195, "total_steps": 24897, "loss": 0.7741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.104848757112616e-06, "epoch": 2.79, "percentage": 93.16, "elapsed_time": "11 days, 15:33:26", "remaining_time": "20:30:48"} +{"current_steps": 23200, "total_steps": 24897, "loss": 0.6468, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.080974234487966e-06, "epoch": 2.8, "percentage": 93.18, "elapsed_time": "11 days, 15:37:08", "remaining_time": "20:27:11"} +{"current_steps": 23205, "total_steps": 24897, "loss": 0.7343, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.057168386202681e-06, "epoch": 2.8, "percentage": 93.2, "elapsed_time": "11 days, 15:40:51", "remaining_time": "20:23:34"} +{"current_steps": 23210, "total_steps": 24897, "loss": 0.825, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.033431223460548e-06, "epoch": 2.8, "percentage": 93.22, "elapsed_time": "11 days, 15:44:31", "remaining_time": "20:19:58"} +{"current_steps": 23215, "total_steps": 24897, "loss": 0.8486, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.0097627574330825e-06, "epoch": 2.8, "percentage": 93.24, "elapsed_time": "11 days, 15:48:10", "remaining_time": "20:16:21"} +{"current_steps": 23220, "total_steps": 24897, "loss": 0.8892, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9861629992594405e-06, "epoch": 2.8, "percentage": 93.26, "elapsed_time": "11 days, 15:51:50", "remaining_time": "20:12:44"} +{"current_steps": 23225, "total_steps": 24897, "loss": 0.8179, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.962631960046453e-06, "epoch": 2.8, "percentage": 93.28, "elapsed_time": "11 days, 15:55:29", "remaining_time": "20:09:07"} +{"current_steps": 23230, "total_steps": 24897, "loss": 0.7651, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.939169650868645e-06, "epoch": 2.8, "percentage": 93.3, "elapsed_time": "11 days, 15:59:08", "remaining_time": "20:05:31"} +{"current_steps": 23235, "total_steps": 24897, "loss": 0.7968, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.915776082768118e-06, "epoch": 2.8, "percentage": 93.32, "elapsed_time": "11 days, 16:02:46", "remaining_time": "20:01:54"} +{"current_steps": 23240, "total_steps": 24897, "loss": 0.7513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8924512667546645e-06, "epoch": 2.8, "percentage": 93.34, "elapsed_time": "11 days, 16:06:25", "remaining_time": "19:58:17"} +{"current_steps": 23245, "total_steps": 24897, "loss": 0.8384, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.86919521380572e-06, "epoch": 2.8, "percentage": 93.36, "elapsed_time": "11 days, 16:10:04", "remaining_time": "19:54:40"} +{"current_steps": 23250, "total_steps": 24897, "loss": 0.8156, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.8460079348663795e-06, "epoch": 2.8, "percentage": 93.38, "elapsed_time": "11 days, 16:13:43", "remaining_time": "19:51:03"} +{"current_steps": 23255, "total_steps": 24897, "loss": 0.7344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.82288944084933e-06, "epoch": 2.8, "percentage": 93.4, "elapsed_time": "11 days, 16:17:21", "remaining_time": "19:47:26"} +{"current_steps": 23260, "total_steps": 24897, "loss": 0.7604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7998397426349024e-06, "epoch": 2.8, "percentage": 93.42, "elapsed_time": "11 days, 16:20:58", "remaining_time": "19:43:49"} +{"current_steps": 23265, "total_steps": 24897, "loss": 0.7076, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7768588510710353e-06, "epoch": 2.8, "percentage": 93.44, "elapsed_time": "11 days, 16:24:36", "remaining_time": "19:40:13"} +{"current_steps": 23270, "total_steps": 24897, "loss": 0.8365, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.753946776973327e-06, "epoch": 2.8, "percentage": 93.47, "elapsed_time": "11 days, 16:28:14", "remaining_time": "19:36:36"} +{"current_steps": 23275, "total_steps": 24897, "loss": 0.7706, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7311035311249348e-06, "epoch": 2.8, "percentage": 93.49, "elapsed_time": "11 days, 16:31:52", "remaining_time": "19:32:59"} +{"current_steps": 23280, "total_steps": 24897, "loss": 0.7948, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7083291242766764e-06, "epoch": 2.8, "percentage": 93.51, "elapsed_time": "11 days, 16:35:29", "remaining_time": "19:29:22"} +{"current_steps": 23285, "total_steps": 24897, "loss": 0.8043, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.685623567146895e-06, "epoch": 2.81, "percentage": 93.53, "elapsed_time": "11 days, 16:39:07", "remaining_time": "19:25:45"} +{"current_steps": 23290, "total_steps": 24897, "loss": 0.9078, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6629868704216415e-06, "epoch": 2.81, "percentage": 93.55, "elapsed_time": "11 days, 16:42:44", "remaining_time": "19:22:08"} +{"current_steps": 23295, "total_steps": 24897, "loss": 0.8755, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.640419044754461e-06, "epoch": 2.81, "percentage": 93.57, "elapsed_time": "11 days, 16:46:21", "remaining_time": "19:18:31"} +{"current_steps": 23300, "total_steps": 24897, "loss": 0.8145, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6179201007665413e-06, "epoch": 2.81, "percentage": 93.59, "elapsed_time": "11 days, 16:49:59", "remaining_time": "19:14:54"} +{"current_steps": 23305, "total_steps": 24897, "loss": 0.8466, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5954900490465956e-06, "epoch": 2.81, "percentage": 93.61, "elapsed_time": "11 days, 16:53:39", "remaining_time": "19:11:17"} +{"current_steps": 23310, "total_steps": 24897, "loss": 0.7302, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5731289001509954e-06, "epoch": 2.81, "percentage": 93.63, "elapsed_time": "11 days, 16:57:17", "remaining_time": "19:07:41"} +{"current_steps": 23315, "total_steps": 24897, "loss": 0.8587, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5508366646036236e-06, "epoch": 2.81, "percentage": 93.65, "elapsed_time": "11 days, 17:00:55", "remaining_time": "19:04:04"} +{"current_steps": 23320, "total_steps": 24897, "loss": 0.858, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.528613352895937e-06, "epoch": 2.81, "percentage": 93.67, "elapsed_time": "11 days, 17:04:32", "remaining_time": "19:00:27"} +{"current_steps": 23325, "total_steps": 24897, "loss": 0.6728, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.506458975486953e-06, "epoch": 2.81, "percentage": 93.69, "elapsed_time": "11 days, 17:08:10", "remaining_time": "18:56:50"} +{"current_steps": 23330, "total_steps": 24897, "loss": 0.794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.484373542803298e-06, "epoch": 2.81, "percentage": 93.71, "elapsed_time": "11 days, 17:11:48", "remaining_time": "18:53:13"} +{"current_steps": 23335, "total_steps": 24897, "loss": 0.6453, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4623570652390743e-06, "epoch": 2.81, "percentage": 93.73, "elapsed_time": "11 days, 17:15:26", "remaining_time": "18:49:36"} +{"current_steps": 23340, "total_steps": 24897, "loss": 0.7392, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.440409553155993e-06, "epoch": 2.81, "percentage": 93.75, "elapsed_time": "11 days, 17:19:03", "remaining_time": "18:45:59"} +{"current_steps": 23345, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4185310168832748e-06, "epoch": 2.81, "percentage": 93.77, "elapsed_time": "11 days, 17:22:40", "remaining_time": "18:42:22"} +{"current_steps": 23350, "total_steps": 24897, "loss": 0.7149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3967214667176666e-06, "epoch": 2.81, "percentage": 93.79, "elapsed_time": "11 days, 17:26:18", "remaining_time": "18:38:45"} +{"current_steps": 23355, "total_steps": 24897, "loss": 0.7284, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3749809129234752e-06, "epoch": 2.81, "percentage": 93.81, "elapsed_time": "11 days, 17:29:55", "remaining_time": "18:35:08"} +{"current_steps": 23360, "total_steps": 24897, "loss": 0.714, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.353309365732548e-06, "epoch": 2.81, "percentage": 93.83, "elapsed_time": "11 days, 17:33:33", "remaining_time": "18:31:31"} +{"current_steps": 23365, "total_steps": 24897, "loss": 0.8152, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3317068353441945e-06, "epoch": 2.82, "percentage": 93.85, "elapsed_time": "11 days, 17:37:11", "remaining_time": "18:27:55"} +{"current_steps": 23370, "total_steps": 24897, "loss": 0.6821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.310173331925331e-06, "epoch": 2.82, "percentage": 93.87, "elapsed_time": "11 days, 17:40:48", "remaining_time": "18:24:18"} +{"current_steps": 23375, "total_steps": 24897, "loss": 0.753, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.288708865610318e-06, "epoch": 2.82, "percentage": 93.89, "elapsed_time": "11 days, 17:44:26", "remaining_time": "18:20:41"} +{"current_steps": 23380, "total_steps": 24897, "loss": 0.7806, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.267313446501041e-06, "epoch": 2.82, "percentage": 93.91, "elapsed_time": "11 days, 17:48:04", "remaining_time": "18:17:04"} +{"current_steps": 23385, "total_steps": 24897, "loss": 0.6671, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.245987084666879e-06, "epoch": 2.82, "percentage": 93.93, "elapsed_time": "11 days, 17:51:41", "remaining_time": "18:13:27"} +{"current_steps": 23390, "total_steps": 24897, "loss": 0.7138, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2247297901447534e-06, "epoch": 2.82, "percentage": 93.95, "elapsed_time": "11 days, 17:55:19", "remaining_time": "18:09:50"} +{"current_steps": 23395, "total_steps": 24897, "loss": 0.838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.2035415729390613e-06, "epoch": 2.82, "percentage": 93.97, "elapsed_time": "11 days, 17:58:56", "remaining_time": "18:06:13"} +{"current_steps": 23400, "total_steps": 24897, "loss": 0.7758, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1824224430216425e-06, "epoch": 2.82, "percentage": 93.99, "elapsed_time": "11 days, 18:02:34", "remaining_time": "18:02:36"} +{"current_steps": 23405, "total_steps": 24897, "loss": 0.8393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.161372410331897e-06, "epoch": 2.82, "percentage": 94.01, "elapsed_time": "11 days, 18:06:14", "remaining_time": "17:58:59"} +{"current_steps": 23410, "total_steps": 24897, "loss": 0.8015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1403914847766497e-06, "epoch": 2.82, "percentage": 94.03, "elapsed_time": "11 days, 18:09:52", "remaining_time": "17:55:22"} +{"current_steps": 23415, "total_steps": 24897, "loss": 0.8061, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1194796762302353e-06, "epoch": 2.82, "percentage": 94.05, "elapsed_time": "11 days, 18:13:30", "remaining_time": "17:51:46"} +{"current_steps": 23420, "total_steps": 24897, "loss": 0.829, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0986369945344312e-06, "epoch": 2.82, "percentage": 94.07, "elapsed_time": "11 days, 18:17:07", "remaining_time": "17:48:09"} +{"current_steps": 23425, "total_steps": 24897, "loss": 0.7389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0778634494984912e-06, "epoch": 2.82, "percentage": 94.09, "elapsed_time": "11 days, 18:20:45", "remaining_time": "17:44:32"} +{"current_steps": 23430, "total_steps": 24897, "loss": 0.8619, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0571590508991607e-06, "epoch": 2.82, "percentage": 94.11, "elapsed_time": "11 days, 18:24:23", "remaining_time": "17:40:55"} +{"current_steps": 23435, "total_steps": 24897, "loss": 0.7831, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.0365238084805955e-06, "epoch": 2.82, "percentage": 94.13, "elapsed_time": "11 days, 18:28:01", "remaining_time": "17:37:18"} +{"current_steps": 23440, "total_steps": 24897, "loss": 0.7122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.015957731954427e-06, "epoch": 2.82, "percentage": 94.15, "elapsed_time": "11 days, 18:31:39", "remaining_time": "17:33:41"} +{"current_steps": 23445, "total_steps": 24897, "loss": 0.784, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9954608309997296e-06, "epoch": 2.82, "percentage": 94.17, "elapsed_time": "11 days, 18:35:16", "remaining_time": "17:30:04"} +{"current_steps": 23450, "total_steps": 24897, "loss": 0.7701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9750331152630535e-06, "epoch": 2.83, "percentage": 94.19, "elapsed_time": "11 days, 18:38:54", "remaining_time": "17:26:27"} +{"current_steps": 23455, "total_steps": 24897, "loss": 0.785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9546745943583418e-06, "epoch": 2.83, "percentage": 94.21, "elapsed_time": "11 days, 18:42:33", "remaining_time": "17:22:50"} +{"current_steps": 23460, "total_steps": 24897, "loss": 0.7819, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.93438527786698e-06, "epoch": 2.83, "percentage": 94.23, "elapsed_time": "11 days, 18:46:12", "remaining_time": "17:19:14"} +{"current_steps": 23465, "total_steps": 24897, "loss": 0.7281, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.914165175337796e-06, "epoch": 2.83, "percentage": 94.25, "elapsed_time": "11 days, 18:49:53", "remaining_time": "17:15:37"} +{"current_steps": 23470, "total_steps": 24897, "loss": 0.7564, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8940142962870784e-06, "epoch": 2.83, "percentage": 94.27, "elapsed_time": "11 days, 18:53:34", "remaining_time": "17:12:00"} +{"current_steps": 23475, "total_steps": 24897, "loss": 0.862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.873932650198457e-06, "epoch": 2.83, "percentage": 94.29, "elapsed_time": "11 days, 18:57:14", "remaining_time": "17:08:23"} +{"current_steps": 23480, "total_steps": 24897, "loss": 0.7873, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.853920246523023e-06, "epoch": 2.83, "percentage": 94.31, "elapsed_time": "11 days, 19:00:54", "remaining_time": "17:04:47"} +{"current_steps": 23485, "total_steps": 24897, "loss": 0.8254, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8339770946793073e-06, "epoch": 2.83, "percentage": 94.33, "elapsed_time": "11 days, 19:04:35", "remaining_time": "17:01:10"} +{"current_steps": 23490, "total_steps": 24897, "loss": 0.7198, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.814103204053203e-06, "epoch": 2.83, "percentage": 94.35, "elapsed_time": "11 days, 19:08:17", "remaining_time": "16:57:33"} +{"current_steps": 23495, "total_steps": 24897, "loss": 0.8079, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.794298583998028e-06, "epoch": 2.83, "percentage": 94.37, "elapsed_time": "11 days, 19:11:59", "remaining_time": "16:53:57"} +{"current_steps": 23500, "total_steps": 24897, "loss": 0.6838, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.77456324383446e-06, "epoch": 2.83, "percentage": 94.39, "elapsed_time": "11 days, 19:15:41", "remaining_time": "16:50:20"} +{"current_steps": 23505, "total_steps": 24897, "loss": 0.7777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7548971928506693e-06, "epoch": 2.83, "percentage": 94.41, "elapsed_time": "11 days, 19:19:29", "remaining_time": "16:46:44"} +{"current_steps": 23510, "total_steps": 24897, "loss": 0.8073, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7353004403021017e-06, "epoch": 2.83, "percentage": 94.43, "elapsed_time": "11 days, 19:23:11", "remaining_time": "16:43:07"} +{"current_steps": 23515, "total_steps": 24897, "loss": 0.671, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7157729954116634e-06, "epoch": 2.83, "percentage": 94.45, "elapsed_time": "11 days, 19:26:54", "remaining_time": "16:39:30"} +{"current_steps": 23520, "total_steps": 24897, "loss": 0.7304, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6963148673696034e-06, "epoch": 2.83, "percentage": 94.47, "elapsed_time": "11 days, 19:30:36", "remaining_time": "16:35:54"} +{"current_steps": 23525, "total_steps": 24897, "loss": 0.7151, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.676926065333562e-06, "epoch": 2.83, "percentage": 94.49, "elapsed_time": "11 days, 19:34:19", "remaining_time": "16:32:17"} +{"current_steps": 23530, "total_steps": 24897, "loss": 0.8637, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.657606598428591e-06, "epoch": 2.84, "percentage": 94.51, "elapsed_time": "11 days, 19:38:01", "remaining_time": "16:28:40"} +{"current_steps": 23535, "total_steps": 24897, "loss": 0.7382, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6383564757470168e-06, "epoch": 2.84, "percentage": 94.53, "elapsed_time": "11 days, 19:41:44", "remaining_time": "16:25:04"} +{"current_steps": 23540, "total_steps": 24897, "loss": 0.7312, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6191757063486252e-06, "epoch": 2.84, "percentage": 94.55, "elapsed_time": "11 days, 19:45:29", "remaining_time": "16:21:27"} +{"current_steps": 23545, "total_steps": 24897, "loss": 0.7705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6000642992605127e-06, "epoch": 2.84, "percentage": 94.57, "elapsed_time": "11 days, 19:49:13", "remaining_time": "16:17:51"} +{"current_steps": 23550, "total_steps": 24897, "loss": 0.703, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.581022263477134e-06, "epoch": 2.84, "percentage": 94.59, "elapsed_time": "11 days, 19:52:57", "remaining_time": "16:14:14"} +{"current_steps": 23555, "total_steps": 24897, "loss": 0.7129, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5620496079603205e-06, "epoch": 2.84, "percentage": 94.61, "elapsed_time": "11 days, 19:56:41", "remaining_time": "16:10:37"} +{"current_steps": 23560, "total_steps": 24897, "loss": 0.7513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5431463416392296e-06, "epoch": 2.84, "percentage": 94.63, "elapsed_time": "11 days, 20:00:24", "remaining_time": "16:07:01"} +{"current_steps": 23565, "total_steps": 24897, "loss": 0.7044, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5243124734103616e-06, "epoch": 2.84, "percentage": 94.65, "elapsed_time": "11 days, 20:04:06", "remaining_time": "16:03:24"} +{"current_steps": 23570, "total_steps": 24897, "loss": 0.7817, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5055480121375426e-06, "epoch": 2.84, "percentage": 94.67, "elapsed_time": "11 days, 20:07:49", "remaining_time": "15:59:47"} +{"current_steps": 23575, "total_steps": 24897, "loss": 0.7372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.486852966651992e-06, "epoch": 2.84, "percentage": 94.69, "elapsed_time": "11 days, 20:11:32", "remaining_time": "15:56:11"} +{"current_steps": 23580, "total_steps": 24897, "loss": 0.7602, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.468227345752155e-06, "epoch": 2.84, "percentage": 94.71, "elapsed_time": "11 days, 20:15:15", "remaining_time": "15:52:34"} +{"current_steps": 23585, "total_steps": 24897, "loss": 0.7023, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4496711582039365e-06, "epoch": 2.84, "percentage": 94.73, "elapsed_time": "11 days, 20:18:58", "remaining_time": "15:48:57"} +{"current_steps": 23590, "total_steps": 24897, "loss": 0.7737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4311844127404668e-06, "epoch": 2.84, "percentage": 94.75, "elapsed_time": "11 days, 20:22:41", "remaining_time": "15:45:21"} +{"current_steps": 23595, "total_steps": 24897, "loss": 0.8992, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.41276711806222e-06, "epoch": 2.84, "percentage": 94.77, "elapsed_time": "11 days, 20:26:24", "remaining_time": "15:41:44"} +{"current_steps": 23600, "total_steps": 24897, "loss": 0.7763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.394419282836979e-06, "epoch": 2.84, "percentage": 94.79, "elapsed_time": "11 days, 20:30:07", "remaining_time": "15:38:08"} +{"current_steps": 23605, "total_steps": 24897, "loss": 0.7533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3761409156998532e-06, "epoch": 2.84, "percentage": 94.81, "elapsed_time": "11 days, 20:33:53", "remaining_time": "15:34:31"} +{"current_steps": 23610, "total_steps": 24897, "loss": 0.7039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.357932025253262e-06, "epoch": 2.84, "percentage": 94.83, "elapsed_time": "11 days, 20:37:36", "remaining_time": "15:30:54"} +{"current_steps": 23615, "total_steps": 24897, "loss": 0.8794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3397926200668994e-06, "epoch": 2.85, "percentage": 94.85, "elapsed_time": "11 days, 20:41:19", "remaining_time": "15:27:18"} +{"current_steps": 23620, "total_steps": 24897, "loss": 0.6978, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3217227086777533e-06, "epoch": 2.85, "percentage": 94.87, "elapsed_time": "11 days, 20:45:04", "remaining_time": "15:23:41"} +{"current_steps": 23625, "total_steps": 24897, "loss": 0.7772, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3037222995901716e-06, "epoch": 2.85, "percentage": 94.89, "elapsed_time": "11 days, 20:48:48", "remaining_time": "15:20:05"} +{"current_steps": 23630, "total_steps": 24897, "loss": 0.7843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2857914012757107e-06, "epoch": 2.85, "percentage": 94.91, "elapsed_time": "11 days, 20:52:33", "remaining_time": "15:16:28"} +{"current_steps": 23635, "total_steps": 24897, "loss": 0.7381, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.267930022173253e-06, "epoch": 2.85, "percentage": 94.93, "elapsed_time": "11 days, 20:56:16", "remaining_time": "15:12:51"} +{"current_steps": 23640, "total_steps": 24897, "loss": 0.7182, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.250138170688942e-06, "epoch": 2.85, "percentage": 94.95, "elapsed_time": "11 days, 20:59:59", "remaining_time": "15:09:15"} +{"current_steps": 23645, "total_steps": 24897, "loss": 0.8062, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2324158551962457e-06, "epoch": 2.85, "percentage": 94.97, "elapsed_time": "11 days, 21:03:42", "remaining_time": "15:05:38"} +{"current_steps": 23650, "total_steps": 24897, "loss": 0.6749, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.214763084035842e-06, "epoch": 2.85, "percentage": 94.99, "elapsed_time": "11 days, 21:07:26", "remaining_time": "15:02:01"} +{"current_steps": 23655, "total_steps": 24897, "loss": 0.6745, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.197179865515736e-06, "epoch": 2.85, "percentage": 95.01, "elapsed_time": "11 days, 21:11:10", "remaining_time": "14:58:25"} +{"current_steps": 23660, "total_steps": 24897, "loss": 0.7771, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.179666207911157e-06, "epoch": 2.85, "percentage": 95.03, "elapsed_time": "11 days, 21:14:52", "remaining_time": "14:54:48"} +{"current_steps": 23665, "total_steps": 24897, "loss": 0.7983, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1622221194646294e-06, "epoch": 2.85, "percentage": 95.05, "elapsed_time": "11 days, 21:18:35", "remaining_time": "14:51:11"} +{"current_steps": 23670, "total_steps": 24897, "loss": 0.9009, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.144847608385919e-06, "epoch": 2.85, "percentage": 95.07, "elapsed_time": "11 days, 21:22:19", "remaining_time": "14:47:34"} +{"current_steps": 23675, "total_steps": 24897, "loss": 0.7032, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1275426828520347e-06, "epoch": 2.85, "percentage": 95.09, "elapsed_time": "11 days, 21:26:02", "remaining_time": "14:43:58"} +{"current_steps": 23680, "total_steps": 24897, "loss": 0.7401, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.110307351007262e-06, "epoch": 2.85, "percentage": 95.11, "elapsed_time": "11 days, 21:29:46", "remaining_time": "14:40:21"} +{"current_steps": 23685, "total_steps": 24897, "loss": 0.6413, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0931416209631126e-06, "epoch": 2.85, "percentage": 95.13, "elapsed_time": "11 days, 21:33:30", "remaining_time": "14:36:44"} +{"current_steps": 23690, "total_steps": 24897, "loss": 0.8361, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.07604550079834e-06, "epoch": 2.85, "percentage": 95.15, "elapsed_time": "11 days, 21:37:13", "remaining_time": "14:33:08"} +{"current_steps": 23695, "total_steps": 24897, "loss": 0.8271, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0590189985589755e-06, "epoch": 2.85, "percentage": 95.17, "elapsed_time": "11 days, 21:40:57", "remaining_time": "14:29:31"} +{"current_steps": 23700, "total_steps": 24897, "loss": 0.7632, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0420621222582255e-06, "epoch": 2.86, "percentage": 95.19, "elapsed_time": "11 days, 21:44:39", "remaining_time": "14:25:54"} +{"current_steps": 23705, "total_steps": 24897, "loss": 0.7434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.02517487987659e-06, "epoch": 2.86, "percentage": 95.21, "elapsed_time": "11 days, 21:48:26", "remaining_time": "14:22:18"} +{"current_steps": 23710, "total_steps": 24897, "loss": 0.717, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0083572793617274e-06, "epoch": 2.86, "percentage": 95.23, "elapsed_time": "11 days, 21:52:10", "remaining_time": "14:18:41"} +{"current_steps": 23715, "total_steps": 24897, "loss": 0.8393, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9916093286285904e-06, "epoch": 2.86, "percentage": 95.25, "elapsed_time": "11 days, 21:55:54", "remaining_time": "14:15:04"} +{"current_steps": 23720, "total_steps": 24897, "loss": 0.8344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9749310355592907e-06, "epoch": 2.86, "percentage": 95.27, "elapsed_time": "11 days, 21:59:38", "remaining_time": "14:11:28"} +{"current_steps": 23725, "total_steps": 24897, "loss": 0.7689, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.958322408003232e-06, "epoch": 2.86, "percentage": 95.29, "elapsed_time": "11 days, 22:03:21", "remaining_time": "14:07:51"} +{"current_steps": 23730, "total_steps": 24897, "loss": 0.7773, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9417834537769463e-06, "epoch": 2.86, "percentage": 95.31, "elapsed_time": "11 days, 22:07:05", "remaining_time": "14:04:14"} +{"current_steps": 23735, "total_steps": 24897, "loss": 0.7632, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.925314180664239e-06, "epoch": 2.86, "percentage": 95.33, "elapsed_time": "11 days, 22:10:50", "remaining_time": "14:00:38"} +{"current_steps": 23740, "total_steps": 24897, "loss": 0.8108, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9089145964160614e-06, "epoch": 2.86, "percentage": 95.35, "elapsed_time": "11 days, 22:14:33", "remaining_time": "13:57:01"} +{"current_steps": 23745, "total_steps": 24897, "loss": 0.7739, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.892584708750655e-06, "epoch": 2.86, "percentage": 95.37, "elapsed_time": "11 days, 22:18:17", "remaining_time": "13:53:24"} +{"current_steps": 23750, "total_steps": 24897, "loss": 0.8458, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.876324525353373e-06, "epoch": 2.86, "percentage": 95.39, "elapsed_time": "11 days, 22:21:59", "remaining_time": "13:49:47"} +{"current_steps": 23755, "total_steps": 24897, "loss": 0.7592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8601340538767938e-06, "epoch": 2.86, "percentage": 95.41, "elapsed_time": "11 days, 22:25:41", "remaining_time": "13:46:11"} +{"current_steps": 23760, "total_steps": 24897, "loss": 0.701, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8440133019407056e-06, "epoch": 2.86, "percentage": 95.43, "elapsed_time": "11 days, 22:29:25", "remaining_time": "13:42:34"} +{"current_steps": 23765, "total_steps": 24897, "loss": 0.7389, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8279622771320723e-06, "epoch": 2.86, "percentage": 95.45, "elapsed_time": "11 days, 22:33:09", "remaining_time": "13:38:57"} +{"current_steps": 23770, "total_steps": 24897, "loss": 0.8737, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8119809870050351e-06, "epoch": 2.86, "percentage": 95.47, "elapsed_time": "11 days, 22:36:53", "remaining_time": "13:35:21"} +{"current_steps": 23775, "total_steps": 24897, "loss": 0.8722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7960694390809105e-06, "epoch": 2.86, "percentage": 95.49, "elapsed_time": "11 days, 22:40:36", "remaining_time": "13:31:44"} +{"current_steps": 23780, "total_steps": 24897, "loss": 0.8727, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7802276408482086e-06, "epoch": 2.87, "percentage": 95.51, "elapsed_time": "11 days, 22:44:20", "remaining_time": "13:28:07"} +{"current_steps": 23785, "total_steps": 24897, "loss": 0.844, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7644555997626153e-06, "epoch": 2.87, "percentage": 95.53, "elapsed_time": "11 days, 22:48:04", "remaining_time": "13:24:30"} +{"current_steps": 23790, "total_steps": 24897, "loss": 0.801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7487533232469597e-06, "epoch": 2.87, "percentage": 95.55, "elapsed_time": "11 days, 22:51:48", "remaining_time": "13:20:54"} +{"current_steps": 23795, "total_steps": 24897, "loss": 0.7282, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7331208186912472e-06, "epoch": 2.87, "percentage": 95.57, "elapsed_time": "11 days, 22:55:32", "remaining_time": "13:17:17"} +{"current_steps": 23800, "total_steps": 24897, "loss": 0.7332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7175580934526756e-06, "epoch": 2.87, "percentage": 95.59, "elapsed_time": "11 days, 22:59:15", "remaining_time": "13:13:40"} +{"current_steps": 23805, "total_steps": 24897, "loss": 0.8685, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7020651548555863e-06, "epoch": 2.87, "percentage": 95.61, "elapsed_time": "11 days, 23:03:02", "remaining_time": "13:10:04"} +{"current_steps": 23810, "total_steps": 24897, "loss": 0.7077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6866420101914468e-06, "epoch": 2.87, "percentage": 95.63, "elapsed_time": "11 days, 23:06:46", "remaining_time": "13:06:27"} +{"current_steps": 23815, "total_steps": 24897, "loss": 0.784, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6712886667189173e-06, "epoch": 2.87, "percentage": 95.65, "elapsed_time": "11 days, 23:10:30", "remaining_time": "13:02:50"} +{"current_steps": 23820, "total_steps": 24897, "loss": 0.6687, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6560051316637678e-06, "epoch": 2.87, "percentage": 95.67, "elapsed_time": "11 days, 23:14:14", "remaining_time": "12:59:13"} +{"current_steps": 23825, "total_steps": 24897, "loss": 0.8986, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.640791412218978e-06, "epoch": 2.87, "percentage": 95.69, "elapsed_time": "11 days, 23:17:58", "remaining_time": "12:55:37"} +{"current_steps": 23830, "total_steps": 24897, "loss": 0.7325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6256475155446037e-06, "epoch": 2.87, "percentage": 95.71, "elapsed_time": "11 days, 23:21:42", "remaining_time": "12:52:00"} +{"current_steps": 23835, "total_steps": 24897, "loss": 0.783, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.61057344876786e-06, "epoch": 2.87, "percentage": 95.73, "elapsed_time": "11 days, 23:25:26", "remaining_time": "12:48:23"} +{"current_steps": 23840, "total_steps": 24897, "loss": 0.8758, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.595569218983106e-06, "epoch": 2.87, "percentage": 95.75, "elapsed_time": "11 days, 23:29:10", "remaining_time": "12:44:46"} +{"current_steps": 23845, "total_steps": 24897, "loss": 0.78, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5806348332518593e-06, "epoch": 2.87, "percentage": 95.77, "elapsed_time": "11 days, 23:32:54", "remaining_time": "12:41:10"} +{"current_steps": 23850, "total_steps": 24897, "loss": 0.8988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5657702986026976e-06, "epoch": 2.87, "percentage": 95.79, "elapsed_time": "11 days, 23:36:38", "remaining_time": "12:37:33"} +{"current_steps": 23855, "total_steps": 24897, "loss": 0.7705, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.550975622031375e-06, "epoch": 2.87, "percentage": 95.81, "elapsed_time": "11 days, 23:40:22", "remaining_time": "12:33:56"} +{"current_steps": 23860, "total_steps": 24897, "loss": 0.8335, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5362508105007721e-06, "epoch": 2.87, "percentage": 95.83, "elapsed_time": "11 days, 23:44:06", "remaining_time": "12:30:19"} +{"current_steps": 23865, "total_steps": 24897, "loss": 0.8144, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5215958709408783e-06, "epoch": 2.88, "percentage": 95.85, "elapsed_time": "11 days, 23:47:50", "remaining_time": "12:26:43"} +{"current_steps": 23870, "total_steps": 24897, "loss": 0.7872, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.50701081024876e-06, "epoch": 2.88, "percentage": 95.88, "elapsed_time": "11 days, 23:51:34", "remaining_time": "12:23:06"} +{"current_steps": 23875, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4924956352886763e-06, "epoch": 2.88, "percentage": 95.9, "elapsed_time": "11 days, 23:55:19", "remaining_time": "12:19:29"} +{"current_steps": 23880, "total_steps": 24897, "loss": 0.8232, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.478050352891913e-06, "epoch": 2.88, "percentage": 95.92, "elapsed_time": "11 days, 23:59:03", "remaining_time": "12:15:52"} +{"current_steps": 23885, "total_steps": 24897, "loss": 0.7883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.463674969856915e-06, "epoch": 2.88, "percentage": 95.94, "elapsed_time": "12 days, 0:02:46", "remaining_time": "12:12:15"} +{"current_steps": 23890, "total_steps": 24897, "loss": 0.722, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4493694929492206e-06, "epoch": 2.88, "percentage": 95.96, "elapsed_time": "12 days, 0:06:29", "remaining_time": "12:08:39"} +{"current_steps": 23895, "total_steps": 24897, "loss": 0.9024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4351339289014608e-06, "epoch": 2.88, "percentage": 95.98, "elapsed_time": "12 days, 0:10:13", "remaining_time": "12:05:02"} +{"current_steps": 23900, "total_steps": 24897, "loss": 0.8657, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.420968284413343e-06, "epoch": 2.88, "percentage": 96.0, "elapsed_time": "12 days, 0:13:58", "remaining_time": "12:01:25"} +{"current_steps": 23905, "total_steps": 24897, "loss": 0.7344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4068725661517343e-06, "epoch": 2.88, "percentage": 96.02, "elapsed_time": "12 days, 0:17:44", "remaining_time": "11:57:48"} +{"current_steps": 23910, "total_steps": 24897, "loss": 0.7641, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.392846780750495e-06, "epoch": 2.88, "percentage": 96.04, "elapsed_time": "12 days, 0:21:29", "remaining_time": "11:54:12"} +{"current_steps": 23915, "total_steps": 24897, "loss": 0.7982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.378890934810678e-06, "epoch": 2.88, "percentage": 96.06, "elapsed_time": "12 days, 0:25:14", "remaining_time": "11:50:35"} +{"current_steps": 23920, "total_steps": 24897, "loss": 0.7434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3650050349003294e-06, "epoch": 2.88, "percentage": 96.08, "elapsed_time": "12 days, 0:28:59", "remaining_time": "11:46:58"} +{"current_steps": 23925, "total_steps": 24897, "loss": 0.7741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3511890875546217e-06, "epoch": 2.88, "percentage": 96.1, "elapsed_time": "12 days, 0:32:44", "remaining_time": "11:43:21"} +{"current_steps": 23930, "total_steps": 24897, "loss": 0.827, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3374430992758033e-06, "epoch": 2.88, "percentage": 96.12, "elapsed_time": "12 days, 0:36:29", "remaining_time": "11:39:45"} +{"current_steps": 23935, "total_steps": 24897, "loss": 0.7506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3237670765331998e-06, "epoch": 2.88, "percentage": 96.14, "elapsed_time": "12 days, 0:40:14", "remaining_time": "11:36:08"} +{"current_steps": 23940, "total_steps": 24897, "loss": 0.7283, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.310161025763179e-06, "epoch": 2.88, "percentage": 96.16, "elapsed_time": "12 days, 0:43:59", "remaining_time": "11:32:31"} +{"current_steps": 23945, "total_steps": 24897, "loss": 0.7266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2966249533692352e-06, "epoch": 2.89, "percentage": 96.18, "elapsed_time": "12 days, 0:47:44", "remaining_time": "11:28:54"} +{"current_steps": 23950, "total_steps": 24897, "loss": 0.6592, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2831588657218728e-06, "epoch": 2.89, "percentage": 96.2, "elapsed_time": "12 days, 0:51:29", "remaining_time": "11:25:17"} +{"current_steps": 23955, "total_steps": 24897, "loss": 0.7966, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2697627691586887e-06, "epoch": 2.89, "percentage": 96.22, "elapsed_time": "12 days, 0:55:14", "remaining_time": "11:21:41"} +{"current_steps": 23960, "total_steps": 24897, "loss": 0.8914, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2564366699842899e-06, "epoch": 2.89, "percentage": 96.24, "elapsed_time": "12 days, 0:58:59", "remaining_time": "11:18:04"} +{"current_steps": 23965, "total_steps": 24897, "loss": 0.8033, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2431805744704426e-06, "epoch": 2.89, "percentage": 96.26, "elapsed_time": "12 days, 1:02:45", "remaining_time": "11:14:27"} +{"current_steps": 23970, "total_steps": 24897, "loss": 0.781, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2299944888558732e-06, "epoch": 2.89, "percentage": 96.28, "elapsed_time": "12 days, 1:06:29", "remaining_time": "11:10:50"} +{"current_steps": 23975, "total_steps": 24897, "loss": 0.7533, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2194960316631197e-06, "epoch": 2.89, "percentage": 96.3, "elapsed_time": "12 days, 1:10:15", "remaining_time": "11:07:14"} +{"current_steps": 23980, "total_steps": 24897, "loss": 0.8843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2064359794837553e-06, "epoch": 2.89, "percentage": 96.32, "elapsed_time": "12 days, 1:13:59", "remaining_time": "11:03:37"} +{"current_steps": 23985, "total_steps": 24897, "loss": 0.8259, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1934459544969023e-06, "epoch": 2.89, "percentage": 96.34, "elapsed_time": "12 days, 1:17:44", "remaining_time": "11:00:00"} +{"current_steps": 23990, "total_steps": 24897, "loss": 0.7628, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1805259628160867e-06, "epoch": 2.89, "percentage": 96.36, "elapsed_time": "12 days, 1:21:30", "remaining_time": "10:56:23"} +{"current_steps": 23995, "total_steps": 24897, "loss": 0.8803, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.167676010521912e-06, "epoch": 2.89, "percentage": 96.38, "elapsed_time": "12 days, 1:25:14", "remaining_time": "10:52:46"} +{"current_steps": 24000, "total_steps": 24897, "loss": 0.8005, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.154896103661973e-06, "epoch": 2.89, "percentage": 96.4, "elapsed_time": "12 days, 1:29:00", "remaining_time": "10:49:09"} +{"current_steps": 24005, "total_steps": 24897, "loss": 0.7015, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1421862482509093e-06, "epoch": 2.89, "percentage": 96.42, "elapsed_time": "12 days, 1:32:50", "remaining_time": "10:45:33"} +{"current_steps": 24010, "total_steps": 24897, "loss": 0.8028, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1295464502704187e-06, "epoch": 2.89, "percentage": 96.44, "elapsed_time": "12 days, 1:36:35", "remaining_time": "10:41:56"} +{"current_steps": 24015, "total_steps": 24897, "loss": 0.8024, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.11697671566921e-06, "epoch": 2.89, "percentage": 96.46, "elapsed_time": "12 days, 1:40:21", "remaining_time": "10:38:19"} +{"current_steps": 24020, "total_steps": 24897, "loss": 0.7861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1044770503630008e-06, "epoch": 2.89, "percentage": 96.48, "elapsed_time": "12 days, 1:44:06", "remaining_time": "10:34:42"} +{"current_steps": 24025, "total_steps": 24897, "loss": 0.7146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.092047460234552e-06, "epoch": 2.89, "percentage": 96.5, "elapsed_time": "12 days, 1:47:52", "remaining_time": "10:31:06"} +{"current_steps": 24030, "total_steps": 24897, "loss": 0.6743, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0796879511336676e-06, "epoch": 2.9, "percentage": 96.52, "elapsed_time": "12 days, 1:51:37", "remaining_time": "10:27:29"} +{"current_steps": 24035, "total_steps": 24897, "loss": 0.7769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0673985288771114e-06, "epoch": 2.9, "percentage": 96.54, "elapsed_time": "12 days, 1:55:23", "remaining_time": "10:23:52"} +{"current_steps": 24040, "total_steps": 24897, "loss": 0.8166, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0551791992487068e-06, "epoch": 2.9, "percentage": 96.56, "elapsed_time": "12 days, 1:59:08", "remaining_time": "10:20:15"} +{"current_steps": 24045, "total_steps": 24897, "loss": 0.7604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0430299679992704e-06, "epoch": 2.9, "percentage": 96.58, "elapsed_time": "12 days, 2:02:54", "remaining_time": "10:16:38"} +{"current_steps": 24050, "total_steps": 24897, "loss": 0.8341, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0309508408466617e-06, "epoch": 2.9, "percentage": 96.6, "elapsed_time": "12 days, 2:06:39", "remaining_time": "10:13:01"} +{"current_steps": 24055, "total_steps": 24897, "loss": 0.8019, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.018941823475683e-06, "epoch": 2.9, "percentage": 96.62, "elapsed_time": "12 days, 2:10:25", "remaining_time": "10:09:25"} +{"current_steps": 24060, "total_steps": 24897, "loss": 0.8227, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0070029215381803e-06, "epoch": 2.9, "percentage": 96.64, "elapsed_time": "12 days, 2:14:09", "remaining_time": "10:05:48"} +{"current_steps": 24065, "total_steps": 24897, "loss": 0.7465, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.951341406530088e-07, "epoch": 2.9, "percentage": 96.66, "elapsed_time": "12 days, 2:17:54", "remaining_time": "10:02:11"} +{"current_steps": 24070, "total_steps": 24897, "loss": 0.6763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.833354864060171e-07, "epoch": 2.9, "percentage": 96.68, "elapsed_time": "12 days, 2:21:41", "remaining_time": "9:58:34"} +{"current_steps": 24075, "total_steps": 24897, "loss": 0.8366, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.716069643500467e-07, "epoch": 2.9, "percentage": 96.7, "elapsed_time": "12 days, 2:25:26", "remaining_time": "9:54:57"} +{"current_steps": 24080, "total_steps": 24897, "loss": 0.6718, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.59948580004899e-07, "epoch": 2.9, "percentage": 96.72, "elapsed_time": "12 days, 2:29:11", "remaining_time": "9:51:20"} +{"current_steps": 24085, "total_steps": 24897, "loss": 0.8791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.483603388574345e-07, "epoch": 2.9, "percentage": 96.74, "elapsed_time": "12 days, 2:32:56", "remaining_time": "9:47:43"} +{"current_steps": 24090, "total_steps": 24897, "loss": 0.7677, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.368422463614411e-07, "epoch": 2.9, "percentage": 96.76, "elapsed_time": "12 days, 2:36:41", "remaining_time": "9:44:07"} +{"current_steps": 24095, "total_steps": 24897, "loss": 0.8087, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.253943079377157e-07, "epoch": 2.9, "percentage": 96.78, "elapsed_time": "12 days, 2:40:27", "remaining_time": "9:40:30"} +{"current_steps": 24100, "total_steps": 24897, "loss": 0.7987, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.14016528974032e-07, "epoch": 2.9, "percentage": 96.8, "elapsed_time": "12 days, 2:44:12", "remaining_time": "9:36:53"} +{"current_steps": 24105, "total_steps": 24897, "loss": 0.7931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.027089148251731e-07, "epoch": 2.9, "percentage": 96.82, "elapsed_time": "12 days, 2:48:00", "remaining_time": "9:33:16"} +{"current_steps": 24110, "total_steps": 24897, "loss": 0.7604, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.914714708128657e-07, "epoch": 2.9, "percentage": 96.84, "elapsed_time": "12 days, 2:51:46", "remaining_time": "9:29:39"} +{"current_steps": 24115, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.803042022258289e-07, "epoch": 2.91, "percentage": 96.86, "elapsed_time": "12 days, 2:55:31", "remaining_time": "9:26:02"} +{"current_steps": 24120, "total_steps": 24897, "loss": 0.7721, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.692071143197588e-07, "epoch": 2.91, "percentage": 96.88, "elapsed_time": "12 days, 2:59:16", "remaining_time": "9:22:25"} +{"current_steps": 24125, "total_steps": 24897, "loss": 0.7656, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.581802123172776e-07, "epoch": 2.91, "percentage": 96.9, "elapsed_time": "12 days, 3:03:00", "remaining_time": "9:18:48"} +{"current_steps": 24130, "total_steps": 24897, "loss": 0.8586, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.472235014080508e-07, "epoch": 2.91, "percentage": 96.92, "elapsed_time": "12 days, 3:06:46", "remaining_time": "9:15:12"} +{"current_steps": 24135, "total_steps": 24897, "loss": 0.6991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.363369867486369e-07, "epoch": 2.91, "percentage": 96.94, "elapsed_time": "12 days, 3:10:32", "remaining_time": "9:11:35"} +{"current_steps": 24140, "total_steps": 24897, "loss": 0.8098, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.255206734626207e-07, "epoch": 2.91, "percentage": 96.96, "elapsed_time": "12 days, 3:14:17", "remaining_time": "9:07:58"} +{"current_steps": 24145, "total_steps": 24897, "loss": 0.8074, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.147745666405137e-07, "epoch": 2.91, "percentage": 96.98, "elapsed_time": "12 days, 3:18:02", "remaining_time": "9:04:21"} +{"current_steps": 24150, "total_steps": 24897, "loss": 0.756, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.040986713397867e-07, "epoch": 2.91, "percentage": 97.0, "elapsed_time": "12 days, 3:21:47", "remaining_time": "9:00:44"} +{"current_steps": 24155, "total_steps": 24897, "loss": 0.724, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.934929925848543e-07, "epoch": 2.91, "percentage": 97.02, "elapsed_time": "12 days, 3:25:33", "remaining_time": "8:57:07"} +{"current_steps": 24160, "total_steps": 24897, "loss": 0.7698, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.829575353671235e-07, "epoch": 2.91, "percentage": 97.04, "elapsed_time": "12 days, 3:29:18", "remaining_time": "8:53:30"} +{"current_steps": 24165, "total_steps": 24897, "loss": 0.7149, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.724923046449117e-07, "epoch": 2.91, "percentage": 97.06, "elapsed_time": "12 days, 3:33:04", "remaining_time": "8:49:53"} +{"current_steps": 24170, "total_steps": 24897, "loss": 0.8158, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.62097305343512e-07, "epoch": 2.91, "percentage": 97.08, "elapsed_time": "12 days, 3:36:49", "remaining_time": "8:46:16"} +{"current_steps": 24175, "total_steps": 24897, "loss": 0.6608, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.517725423551613e-07, "epoch": 2.91, "percentage": 97.1, "elapsed_time": "12 days, 3:40:35", "remaining_time": "8:42:39"} +{"current_steps": 24180, "total_steps": 24897, "loss": 0.7003, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.415180205390392e-07, "epoch": 2.91, "percentage": 97.12, "elapsed_time": "12 days, 3:44:20", "remaining_time": "8:39:02"} +{"current_steps": 24185, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.313337447212519e-07, "epoch": 2.91, "percentage": 97.14, "elapsed_time": "12 days, 3:48:06", "remaining_time": "8:35:26"} +{"current_steps": 24190, "total_steps": 24897, "loss": 0.7743, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.212197196948655e-07, "epoch": 2.91, "percentage": 97.16, "elapsed_time": "12 days, 3:51:51", "remaining_time": "8:31:49"} +{"current_steps": 24195, "total_steps": 24897, "loss": 0.7702, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.111759502198721e-07, "epoch": 2.92, "percentage": 97.18, "elapsed_time": "12 days, 3:55:36", "remaining_time": "8:28:12"} +{"current_steps": 24200, "total_steps": 24897, "loss": 0.7636, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.012024410232076e-07, "epoch": 2.92, "percentage": 97.2, "elapsed_time": "12 days, 3:59:22", "remaining_time": "8:24:35"} +{"current_steps": 24205, "total_steps": 24897, "loss": 0.792, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.912991967987169e-07, "epoch": 2.92, "percentage": 97.22, "elapsed_time": "12 days, 4:03:14", "remaining_time": "8:20:58"} +{"current_steps": 24210, "total_steps": 24897, "loss": 0.7822, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.814662222072387e-07, "epoch": 2.92, "percentage": 97.24, "elapsed_time": "12 days, 4:07:00", "remaining_time": "8:17:21"} +{"current_steps": 24215, "total_steps": 24897, "loss": 0.7481, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.717035218764543e-07, "epoch": 2.92, "percentage": 97.26, "elapsed_time": "12 days, 4:10:45", "remaining_time": "8:13:44"} +{"current_steps": 24220, "total_steps": 24897, "loss": 0.7175, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.620111004010387e-07, "epoch": 2.92, "percentage": 97.28, "elapsed_time": "12 days, 4:14:31", "remaining_time": "8:10:07"} +{"current_steps": 24225, "total_steps": 24897, "loss": 0.7447, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.52388962342576e-07, "epoch": 2.92, "percentage": 97.3, "elapsed_time": "12 days, 4:18:17", "remaining_time": "8:06:30"} +{"current_steps": 24230, "total_steps": 24897, "loss": 0.739, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.428371122295273e-07, "epoch": 2.92, "percentage": 97.32, "elapsed_time": "12 days, 4:22:02", "remaining_time": "8:02:53"} +{"current_steps": 24235, "total_steps": 24897, "loss": 0.7863, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.333555545573299e-07, "epoch": 2.92, "percentage": 97.34, "elapsed_time": "12 days, 4:25:47", "remaining_time": "7:59:16"} +{"current_steps": 24240, "total_steps": 24897, "loss": 0.7584, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.23944293788331e-07, "epoch": 2.92, "percentage": 97.36, "elapsed_time": "12 days, 4:29:33", "remaining_time": "7:55:39"} +{"current_steps": 24245, "total_steps": 24897, "loss": 0.777, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.146033343517709e-07, "epoch": 2.92, "percentage": 97.38, "elapsed_time": "12 days, 4:33:18", "remaining_time": "7:52:02"} +{"current_steps": 24250, "total_steps": 24897, "loss": 0.8146, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.053326806438163e-07, "epoch": 2.92, "percentage": 97.4, "elapsed_time": "12 days, 4:37:04", "remaining_time": "7:48:25"} +{"current_steps": 24255, "total_steps": 24897, "loss": 0.8211, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.961323370275439e-07, "epoch": 2.92, "percentage": 97.42, "elapsed_time": "12 days, 4:40:49", "remaining_time": "7:44:48"} +{"current_steps": 24260, "total_steps": 24897, "loss": 0.73, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.870023078329567e-07, "epoch": 2.92, "percentage": 97.44, "elapsed_time": "12 days, 4:44:34", "remaining_time": "7:41:11"} +{"current_steps": 24265, "total_steps": 24897, "loss": 0.791, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.779425973569174e-07, "epoch": 2.92, "percentage": 97.46, "elapsed_time": "12 days, 4:48:20", "remaining_time": "7:37:34"} +{"current_steps": 24270, "total_steps": 24897, "loss": 0.7879, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.689532098632487e-07, "epoch": 2.92, "percentage": 97.48, "elapsed_time": "12 days, 4:52:05", "remaining_time": "7:33:57"} +{"current_steps": 24275, "total_steps": 24897, "loss": 0.7007, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.6003414958265e-07, "epoch": 2.92, "percentage": 97.5, "elapsed_time": "12 days, 4:55:50", "remaining_time": "7:30:20"} +{"current_steps": 24280, "total_steps": 24897, "loss": 0.8707, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.511854207127298e-07, "epoch": 2.93, "percentage": 97.52, "elapsed_time": "12 days, 4:59:36", "remaining_time": "7:26:43"} +{"current_steps": 24285, "total_steps": 24897, "loss": 0.7963, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.424070274179904e-07, "epoch": 2.93, "percentage": 97.54, "elapsed_time": "12 days, 5:03:22", "remaining_time": "7:23:06"} +{"current_steps": 24290, "total_steps": 24897, "loss": 0.7763, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.336989738298436e-07, "epoch": 2.93, "percentage": 97.56, "elapsed_time": "12 days, 5:07:07", "remaining_time": "7:19:29"} +{"current_steps": 24295, "total_steps": 24897, "loss": 0.7297, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.250612640465779e-07, "epoch": 2.93, "percentage": 97.58, "elapsed_time": "12 days, 5:10:51", "remaining_time": "7:15:52"} +{"current_steps": 24300, "total_steps": 24897, "loss": 0.7109, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.164939021334081e-07, "epoch": 2.93, "percentage": 97.6, "elapsed_time": "12 days, 5:14:37", "remaining_time": "7:12:15"} +{"current_steps": 24305, "total_steps": 24897, "loss": 0.7229, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.079968921223754e-07, "epoch": 2.93, "percentage": 97.62, "elapsed_time": "12 days, 5:18:26", "remaining_time": "7:08:38"} +{"current_steps": 24310, "total_steps": 24897, "loss": 0.695, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.995702380124977e-07, "epoch": 2.93, "percentage": 97.64, "elapsed_time": "12 days, 5:22:13", "remaining_time": "7:05:01"} +{"current_steps": 24315, "total_steps": 24897, "loss": 0.7659, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.912139437696195e-07, "epoch": 2.93, "percentage": 97.66, "elapsed_time": "12 days, 5:26:01", "remaining_time": "7:01:24"} +{"current_steps": 24320, "total_steps": 24897, "loss": 0.7636, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.829280133264779e-07, "epoch": 2.93, "percentage": 97.68, "elapsed_time": "12 days, 5:29:48", "remaining_time": "6:57:47"} +{"current_steps": 24325, "total_steps": 24897, "loss": 0.6761, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.747124505827371e-07, "epoch": 2.93, "percentage": 97.7, "elapsed_time": "12 days, 5:33:34", "remaining_time": "6:54:10"} +{"current_steps": 24330, "total_steps": 24897, "loss": 0.8025, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.665672594048875e-07, "epoch": 2.93, "percentage": 97.72, "elapsed_time": "12 days, 5:37:20", "remaining_time": "6:50:33"} +{"current_steps": 24335, "total_steps": 24897, "loss": 0.8476, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.5849244362634597e-07, "epoch": 2.93, "percentage": 97.74, "elapsed_time": "12 days, 5:41:06", "remaining_time": "6:46:56"} +{"current_steps": 24340, "total_steps": 24897, "loss": 0.8227, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.504880070473726e-07, "epoch": 2.93, "percentage": 97.76, "elapsed_time": "12 days, 5:44:51", "remaining_time": "6:43:19"} +{"current_steps": 24345, "total_steps": 24897, "loss": 0.8843, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.4255395343513744e-07, "epoch": 2.93, "percentage": 97.78, "elapsed_time": "12 days, 5:48:37", "remaining_time": "6:39:42"} +{"current_steps": 24350, "total_steps": 24897, "loss": 0.7809, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3469028652365346e-07, "epoch": 2.93, "percentage": 97.8, "elapsed_time": "12 days, 5:52:23", "remaining_time": "6:36:05"} +{"current_steps": 24355, "total_steps": 24897, "loss": 0.6801, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.268970100138269e-07, "epoch": 2.93, "percentage": 97.82, "elapsed_time": "12 days, 5:56:09", "remaining_time": "6:32:28"} +{"current_steps": 24360, "total_steps": 24897, "loss": 0.7058, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.1917412757345724e-07, "epoch": 2.94, "percentage": 97.84, "elapsed_time": "12 days, 5:59:54", "remaining_time": "6:28:51"} +{"current_steps": 24365, "total_steps": 24897, "loss": 0.8242, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.1152164283715373e-07, "epoch": 2.94, "percentage": 97.86, "elapsed_time": "12 days, 6:03:40", "remaining_time": "6:25:14"} +{"current_steps": 24370, "total_steps": 24897, "loss": 0.7344, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.039395594064521e-07, "epoch": 2.94, "percentage": 97.88, "elapsed_time": "12 days, 6:07:25", "remaining_time": "6:21:37"} +{"current_steps": 24375, "total_steps": 24897, "loss": 0.7067, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.9642788084971454e-07, "epoch": 2.94, "percentage": 97.9, "elapsed_time": "12 days, 6:11:11", "remaining_time": "6:18:00"} +{"current_steps": 24380, "total_steps": 24897, "loss": 0.7673, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.889866107021966e-07, "epoch": 2.94, "percentage": 97.92, "elapsed_time": "12 days, 6:14:56", "remaining_time": "6:14:23"} +{"current_steps": 24385, "total_steps": 24897, "loss": 0.6869, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.816157524660135e-07, "epoch": 2.94, "percentage": 97.94, "elapsed_time": "12 days, 6:18:42", "remaining_time": "6:10:46"} +{"current_steps": 24390, "total_steps": 24897, "loss": 0.7815, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.7431530961014034e-07, "epoch": 2.94, "percentage": 97.96, "elapsed_time": "12 days, 6:22:27", "remaining_time": "6:07:09"} +{"current_steps": 24395, "total_steps": 24897, "loss": 0.8175, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.6708528557037873e-07, "epoch": 2.94, "percentage": 97.98, "elapsed_time": "12 days, 6:26:12", "remaining_time": "6:03:32"} +{"current_steps": 24400, "total_steps": 24897, "loss": 0.7162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5992568374945685e-07, "epoch": 2.94, "percentage": 98.0, "elapsed_time": "12 days, 6:29:57", "remaining_time": "5:59:55"} +{"current_steps": 24405, "total_steps": 24897, "loss": 0.6064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.528365075168793e-07, "epoch": 2.94, "percentage": 98.02, "elapsed_time": "12 days, 6:33:45", "remaining_time": "5:56:17"} +{"current_steps": 24410, "total_steps": 24897, "loss": 0.8372, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.4581776020907725e-07, "epoch": 2.94, "percentage": 98.04, "elapsed_time": "12 days, 6:37:30", "remaining_time": "5:52:40"} +{"current_steps": 24415, "total_steps": 24897, "loss": 0.7008, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.388694451293084e-07, "epoch": 2.94, "percentage": 98.06, "elapsed_time": "12 days, 6:41:15", "remaining_time": "5:49:03"} +{"current_steps": 24420, "total_steps": 24897, "loss": 0.7895, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3199156554765684e-07, "epoch": 2.94, "percentage": 98.08, "elapsed_time": "12 days, 6:45:00", "remaining_time": "5:45:26"} +{"current_steps": 24425, "total_steps": 24897, "loss": 0.6871, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.251841247011167e-07, "epoch": 2.94, "percentage": 98.1, "elapsed_time": "12 days, 6:48:46", "remaining_time": "5:41:49"} +{"current_steps": 24430, "total_steps": 24897, "loss": 0.8315, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1844712579345843e-07, "epoch": 2.94, "percentage": 98.12, "elapsed_time": "12 days, 6:52:31", "remaining_time": "5:38:12"} +{"current_steps": 24435, "total_steps": 24897, "loss": 0.7951, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1178057199536256e-07, "epoch": 2.94, "percentage": 98.14, "elapsed_time": "12 days, 6:56:17", "remaining_time": "5:34:35"} +{"current_steps": 24440, "total_steps": 24897, "loss": 0.7521, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.051844664443026e-07, "epoch": 2.94, "percentage": 98.16, "elapsed_time": "12 days, 7:00:03", "remaining_time": "5:30:58"} +{"current_steps": 24445, "total_steps": 24897, "loss": 0.744, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9865881224466206e-07, "epoch": 2.95, "percentage": 98.18, "elapsed_time": "12 days, 7:03:48", "remaining_time": "5:27:21"} +{"current_steps": 24450, "total_steps": 24897, "loss": 0.8013, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9220361246761746e-07, "epoch": 2.95, "percentage": 98.2, "elapsed_time": "12 days, 7:07:33", "remaining_time": "5:23:43"} +{"current_steps": 24455, "total_steps": 24897, "loss": 0.7174, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.858188701511721e-07, "epoch": 2.95, "percentage": 98.22, "elapsed_time": "12 days, 7:11:19", "remaining_time": "5:20:06"} +{"current_steps": 24460, "total_steps": 24897, "loss": 0.7931, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7950458830023893e-07, "epoch": 2.95, "percentage": 98.24, "elapsed_time": "12 days, 7:15:04", "remaining_time": "5:16:29"} +{"current_steps": 24465, "total_steps": 24897, "loss": 0.7746, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7326076988650747e-07, "epoch": 2.95, "percentage": 98.26, "elapsed_time": "12 days, 7:18:49", "remaining_time": "5:12:52"} +{"current_steps": 24470, "total_steps": 24897, "loss": 0.8661, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6708741784852716e-07, "epoch": 2.95, "percentage": 98.28, "elapsed_time": "12 days, 7:22:34", "remaining_time": "5:09:15"} +{"current_steps": 24475, "total_steps": 24897, "loss": 0.8434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.6098453509167394e-07, "epoch": 2.95, "percentage": 98.31, "elapsed_time": "12 days, 7:26:20", "remaining_time": "5:05:38"} +{"current_steps": 24480, "total_steps": 24897, "loss": 0.8796, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.549521244881836e-07, "epoch": 2.95, "percentage": 98.33, "elapsed_time": "12 days, 7:30:06", "remaining_time": "5:02:01"} +{"current_steps": 24485, "total_steps": 24897, "loss": 0.7311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.489901888771184e-07, "epoch": 2.95, "percentage": 98.35, "elapsed_time": "12 days, 7:33:52", "remaining_time": "4:58:24"} +{"current_steps": 24490, "total_steps": 24897, "loss": 0.75, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.4309873106433395e-07, "epoch": 2.95, "percentage": 98.37, "elapsed_time": "12 days, 7:37:38", "remaining_time": "4:54:46"} +{"current_steps": 24495, "total_steps": 24897, "loss": 0.7938, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3727775382256232e-07, "epoch": 2.95, "percentage": 98.39, "elapsed_time": "12 days, 7:41:22", "remaining_time": "4:51:09"} +{"current_steps": 24500, "total_steps": 24897, "loss": 0.8173, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3152725989132869e-07, "epoch": 2.95, "percentage": 98.41, "elapsed_time": "12 days, 7:45:09", "remaining_time": "4:47:32"} +{"current_steps": 24505, "total_steps": 24897, "loss": 0.7686, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2584725197705156e-07, "epoch": 2.95, "percentage": 98.43, "elapsed_time": "12 days, 7:49:01", "remaining_time": "4:43:55"} +{"current_steps": 24510, "total_steps": 24897, "loss": 0.7052, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.202377327528926e-07, "epoch": 2.95, "percentage": 98.45, "elapsed_time": "12 days, 7:52:47", "remaining_time": "4:40:18"} +{"current_steps": 24515, "total_steps": 24897, "loss": 0.8064, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.1469870485888995e-07, "epoch": 2.95, "percentage": 98.47, "elapsed_time": "12 days, 7:56:33", "remaining_time": "4:36:41"} +{"current_steps": 24520, "total_steps": 24897, "loss": 0.8348, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.092301709018751e-07, "epoch": 2.95, "percentage": 98.49, "elapsed_time": "12 days, 8:00:20", "remaining_time": "4:33:04"} +{"current_steps": 24525, "total_steps": 24897, "loss": 0.8049, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0383213345555595e-07, "epoch": 2.95, "percentage": 98.51, "elapsed_time": "12 days, 8:04:05", "remaining_time": "4:29:26"} +{"current_steps": 24530, "total_steps": 24897, "loss": 0.8862, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9850459506041693e-07, "epoch": 2.96, "percentage": 98.53, "elapsed_time": "12 days, 8:07:51", "remaining_time": "4:25:49"} +{"current_steps": 24535, "total_steps": 24897, "loss": 0.8741, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.9324755822375248e-07, "epoch": 2.96, "percentage": 98.55, "elapsed_time": "12 days, 8:11:36", "remaining_time": "4:22:12"} +{"current_steps": 24540, "total_steps": 24897, "loss": 0.6238, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8806102541973346e-07, "epoch": 2.96, "percentage": 98.57, "elapsed_time": "12 days, 8:15:22", "remaining_time": "4:18:35"} +{"current_steps": 24545, "total_steps": 24897, "loss": 0.788, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.829449990892906e-07, "epoch": 2.96, "percentage": 98.59, "elapsed_time": "12 days, 8:19:08", "remaining_time": "4:14:58"} +{"current_steps": 24550, "total_steps": 24897, "loss": 0.769, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7789948164019795e-07, "epoch": 2.96, "percentage": 98.61, "elapsed_time": "12 days, 8:22:53", "remaining_time": "4:11:21"} +{"current_steps": 24555, "total_steps": 24897, "loss": 0.7794, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7292447544703937e-07, "epoch": 2.96, "percentage": 98.63, "elapsed_time": "12 days, 8:26:39", "remaining_time": "4:07:43"} +{"current_steps": 24560, "total_steps": 24897, "loss": 0.7316, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6801998285124186e-07, "epoch": 2.96, "percentage": 98.65, "elapsed_time": "12 days, 8:30:24", "remaining_time": "4:04:06"} +{"current_steps": 24565, "total_steps": 24897, "loss": 0.8332, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.6318600616099241e-07, "epoch": 2.96, "percentage": 98.67, "elapsed_time": "12 days, 8:34:10", "remaining_time": "4:00:29"} +{"current_steps": 24570, "total_steps": 24897, "loss": 0.7298, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5842254765135453e-07, "epoch": 2.96, "percentage": 98.69, "elapsed_time": "12 days, 8:37:56", "remaining_time": "3:56:52"} +{"current_steps": 24575, "total_steps": 24897, "loss": 0.688, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5372960956413493e-07, "epoch": 2.96, "percentage": 98.71, "elapsed_time": "12 days, 8:41:42", "remaining_time": "3:53:15"} +{"current_steps": 24580, "total_steps": 24897, "loss": 0.7518, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.491071941080002e-07, "epoch": 2.96, "percentage": 98.73, "elapsed_time": "12 days, 8:45:27", "remaining_time": "3:49:37"} +{"current_steps": 24585, "total_steps": 24897, "loss": 0.7832, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.445553034584268e-07, "epoch": 2.96, "percentage": 98.75, "elapsed_time": "12 days, 8:49:13", "remaining_time": "3:46:00"} +{"current_steps": 24590, "total_steps": 24897, "loss": 0.7416, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4007393975766777e-07, "epoch": 2.96, "percentage": 98.77, "elapsed_time": "12 days, 8:52:58", "remaining_time": "3:42:23"} +{"current_steps": 24595, "total_steps": 24897, "loss": 0.7861, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3566310511480272e-07, "epoch": 2.96, "percentage": 98.79, "elapsed_time": "12 days, 8:56:44", "remaining_time": "3:38:46"} +{"current_steps": 24600, "total_steps": 24897, "loss": 0.7546, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.3132280160572105e-07, "epoch": 2.96, "percentage": 98.81, "elapsed_time": "12 days, 9:00:30", "remaining_time": "3:35:08"} +{"current_steps": 24605, "total_steps": 24897, "loss": 0.7988, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.270530312731055e-07, "epoch": 2.96, "percentage": 98.83, "elapsed_time": "12 days, 9:04:36", "remaining_time": "3:31:32"} +{"current_steps": 24610, "total_steps": 24897, "loss": 0.672, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2285379612648195e-07, "epoch": 2.97, "percentage": 98.85, "elapsed_time": "12 days, 9:08:23", "remaining_time": "3:27:54"} +{"current_steps": 24615, "total_steps": 24897, "loss": 0.7166, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.187250981421195e-07, "epoch": 2.97, "percentage": 98.87, "elapsed_time": "12 days, 9:12:09", "remaining_time": "3:24:17"} +{"current_steps": 24620, "total_steps": 24897, "loss": 0.8364, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1466693926311388e-07, "epoch": 2.97, "percentage": 98.89, "elapsed_time": "12 days, 9:15:55", "remaining_time": "3:20:40"} +{"current_steps": 24625, "total_steps": 24897, "loss": 0.7982, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.1067932139940394e-07, "epoch": 2.97, "percentage": 98.91, "elapsed_time": "12 days, 9:19:42", "remaining_time": "3:17:03"} +{"current_steps": 24630, "total_steps": 24897, "loss": 0.884, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0676224642767184e-07, "epoch": 2.97, "percentage": 98.93, "elapsed_time": "12 days, 9:23:28", "remaining_time": "3:13:25"} +{"current_steps": 24635, "total_steps": 24897, "loss": 0.7196, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0291571619142624e-07, "epoch": 2.97, "percentage": 98.95, "elapsed_time": "12 days, 9:27:13", "remaining_time": "3:09:48"} +{"current_steps": 24640, "total_steps": 24897, "loss": 0.7846, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.913973250096907e-08, "epoch": 2.97, "percentage": 98.97, "elapsed_time": "12 days, 9:30:59", "remaining_time": "3:06:11"} +{"current_steps": 24645, "total_steps": 24897, "loss": 0.8509, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.543429713339546e-08, "epoch": 2.97, "percentage": 98.99, "elapsed_time": "12 days, 9:34:45", "remaining_time": "3:02:34"} +{"current_steps": 24650, "total_steps": 24897, "loss": 0.7391, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.179941183264372e-08, "epoch": 2.97, "percentage": 99.01, "elapsed_time": "12 days, 9:38:31", "remaining_time": "2:58:56"} +{"current_steps": 24655, "total_steps": 24897, "loss": 0.8165, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.823507830936216e-08, "epoch": 2.97, "percentage": 99.03, "elapsed_time": "12 days, 9:42:17", "remaining_time": "2:55:19"} +{"current_steps": 24660, "total_steps": 24897, "loss": 0.8494, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.474129824109222e-08, "epoch": 2.97, "percentage": 99.05, "elapsed_time": "12 days, 9:46:03", "remaining_time": "2:51:42"} +{"current_steps": 24665, "total_steps": 24897, "loss": 0.7467, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.131807327208529e-08, "epoch": 2.97, "percentage": 99.07, "elapsed_time": "12 days, 9:49:50", "remaining_time": "2:48:05"} +{"current_steps": 24670, "total_steps": 24897, "loss": 0.8084, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.796540501343595e-08, "epoch": 2.97, "percentage": 99.09, "elapsed_time": "12 days, 9:53:35", "remaining_time": "2:44:27"} +{"current_steps": 24675, "total_steps": 24897, "loss": 0.8123, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.468329504303206e-08, "epoch": 2.97, "percentage": 99.11, "elapsed_time": "12 days, 9:57:20", "remaining_time": "2:40:50"} +{"current_steps": 24680, "total_steps": 24897, "loss": 0.7652, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.147174490552132e-08, "epoch": 2.97, "percentage": 99.13, "elapsed_time": "12 days, 10:01:07", "remaining_time": "2:37:13"} +{"current_steps": 24685, "total_steps": 24897, "loss": 0.8162, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.833075611239469e-08, "epoch": 2.97, "percentage": 99.15, "elapsed_time": "12 days, 10:04:52", "remaining_time": "2:33:35"} +{"current_steps": 24690, "total_steps": 24897, "loss": 0.883, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.526033014188637e-08, "epoch": 2.97, "percentage": 99.17, "elapsed_time": "12 days, 10:08:38", "remaining_time": "2:29:58"} +{"current_steps": 24695, "total_steps": 24897, "loss": 0.7266, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.226046843904042e-08, "epoch": 2.98, "percentage": 99.19, "elapsed_time": "12 days, 10:12:24", "remaining_time": "2:26:21"} +{"current_steps": 24700, "total_steps": 24897, "loss": 0.8039, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.933117241571084e-08, "epoch": 2.98, "percentage": 99.21, "elapsed_time": "12 days, 10:16:09", "remaining_time": "2:22:44"} +{"current_steps": 24705, "total_steps": 24897, "loss": 0.7991, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.647244345049484e-08, "epoch": 2.98, "percentage": 99.23, "elapsed_time": "12 days, 10:20:16", "remaining_time": "2:19:06"} +{"current_steps": 24710, "total_steps": 24897, "loss": 0.7506, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.368428288881621e-08, "epoch": 2.98, "percentage": 99.25, "elapsed_time": "12 days, 10:24:03", "remaining_time": "2:15:29"} +{"current_steps": 24715, "total_steps": 24897, "loss": 0.7785, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.096669204287529e-08, "epoch": 2.98, "percentage": 99.27, "elapsed_time": "12 days, 10:27:49", "remaining_time": "2:11:52"} +{"current_steps": 24720, "total_steps": 24897, "loss": 0.7964, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.831967219168231e-08, "epoch": 2.98, "percentage": 99.29, "elapsed_time": "12 days, 10:31:35", "remaining_time": "2:08:15"} +{"current_steps": 24725, "total_steps": 24897, "loss": 0.7077, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.574322458097413e-08, "epoch": 2.98, "percentage": 99.31, "elapsed_time": "12 days, 10:35:21", "remaining_time": "2:04:37"} +{"current_steps": 24730, "total_steps": 24897, "loss": 0.775, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.3237350423330766e-08, "epoch": 2.98, "percentage": 99.33, "elapsed_time": "12 days, 10:39:07", "remaining_time": "2:01:00"} +{"current_steps": 24735, "total_steps": 24897, "loss": 0.7682, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.080205089810884e-08, "epoch": 2.98, "percentage": 99.35, "elapsed_time": "12 days, 10:42:53", "remaining_time": "1:57:23"} +{"current_steps": 24740, "total_steps": 24897, "loss": 0.7311, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.843732715142489e-08, "epoch": 2.98, "percentage": 99.37, "elapsed_time": "12 days, 10:46:38", "remaining_time": "1:53:45"} +{"current_steps": 24745, "total_steps": 24897, "loss": 0.7582, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.614318029620533e-08, "epoch": 2.98, "percentage": 99.39, "elapsed_time": "12 days, 10:50:24", "remaining_time": "1:50:08"} +{"current_steps": 24750, "total_steps": 24897, "loss": 0.8188, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.3919611412153156e-08, "epoch": 2.98, "percentage": 99.41, "elapsed_time": "12 days, 10:54:10", "remaining_time": "1:46:31"} +{"current_steps": 24755, "total_steps": 24897, "loss": 0.8122, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1766621545764594e-08, "epoch": 2.98, "percentage": 99.43, "elapsed_time": "12 days, 10:57:56", "remaining_time": "1:42:53"} +{"current_steps": 24760, "total_steps": 24897, "loss": 0.774, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.9684211710279128e-08, "epoch": 2.98, "percentage": 99.45, "elapsed_time": "12 days, 11:01:42", "remaining_time": "1:39:16"} +{"current_steps": 24765, "total_steps": 24897, "loss": 0.8288, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.7672382885762788e-08, "epoch": 2.98, "percentage": 99.47, "elapsed_time": "12 days, 11:05:28", "remaining_time": "1:35:39"} +{"current_steps": 24770, "total_steps": 24897, "loss": 0.7956, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.5731136019058186e-08, "epoch": 2.98, "percentage": 99.49, "elapsed_time": "12 days, 11:09:14", "remaining_time": "1:32:01"} +{"current_steps": 24775, "total_steps": 24897, "loss": 0.7156, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.3860472023767842e-08, "epoch": 2.99, "percentage": 99.51, "elapsed_time": "12 days, 11:13:00", "remaining_time": "1:28:24"} +{"current_steps": 24780, "total_steps": 24897, "loss": 0.7434, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.206039178028751e-08, "epoch": 2.99, "percentage": 99.53, "elapsed_time": "12 days, 11:16:46", "remaining_time": "1:24:47"} +{"current_steps": 24785, "total_steps": 24897, "loss": 0.7925, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.0330896135806184e-08, "epoch": 2.99, "percentage": 99.55, "elapsed_time": "12 days, 11:20:32", "remaining_time": "1:21:09"} +{"current_steps": 24790, "total_steps": 24897, "loss": 0.798, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.8671985904289422e-08, "epoch": 2.99, "percentage": 99.57, "elapsed_time": "12 days, 11:24:18", "remaining_time": "1:17:32"} +{"current_steps": 24795, "total_steps": 24897, "loss": 0.8071, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.7083661866446053e-08, "epoch": 2.99, "percentage": 99.59, "elapsed_time": "12 days, 11:28:05", "remaining_time": "1:13:54"} +{"current_steps": 24800, "total_steps": 24897, "loss": 0.8328, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.5565924769811446e-08, "epoch": 2.99, "percentage": 99.61, "elapsed_time": "12 days, 11:31:51", "remaining_time": "1:10:17"} +{"current_steps": 24805, "total_steps": 24897, "loss": 0.7459, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4118775328680886e-08, "epoch": 2.99, "percentage": 99.63, "elapsed_time": "12 days, 11:35:57", "remaining_time": "1:06:40"} +{"current_steps": 24810, "total_steps": 24897, "loss": 0.8192, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2742214224126246e-08, "epoch": 2.99, "percentage": 99.65, "elapsed_time": "12 days, 11:39:44", "remaining_time": "1:03:02"} +{"current_steps": 24815, "total_steps": 24897, "loss": 0.8212, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.143624210402927e-08, "epoch": 2.99, "percentage": 99.67, "elapsed_time": "12 days, 11:43:30", "remaining_time": "0:59:25"} +{"current_steps": 24820, "total_steps": 24897, "loss": 0.7237, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.0200859582981669e-08, "epoch": 2.99, "percentage": 99.69, "elapsed_time": "12 days, 11:47:16", "remaining_time": "0:55:48"} +{"current_steps": 24825, "total_steps": 24897, "loss": 0.8578, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 9.036067242418343e-09, "epoch": 2.99, "percentage": 99.71, "elapsed_time": "12 days, 11:51:02", "remaining_time": "0:52:10"} +{"current_steps": 24830, "total_steps": 24897, "loss": 0.7642, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 7.941865630534116e-09, "epoch": 2.99, "percentage": 99.73, "elapsed_time": "12 days, 11:54:47", "remaining_time": "0:48:33"} +{"current_steps": 24835, "total_steps": 24897, "loss": 0.7935, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 6.918255262300387e-09, "epoch": 2.99, "percentage": 99.75, "elapsed_time": "12 days, 11:58:34", "remaining_time": "0:44:55"} +{"current_steps": 24840, "total_steps": 24897, "loss": 0.7417, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.9652366194318235e-09, "epoch": 2.99, "percentage": 99.77, "elapsed_time": "12 days, 12:02:20", "remaining_time": "0:41:18"} +{"current_steps": 24845, "total_steps": 24897, "loss": 0.7581, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.082810150486283e-09, "epoch": 2.99, "percentage": 99.79, "elapsed_time": "12 days, 12:06:05", "remaining_time": "0:37:41"} +{"current_steps": 24850, "total_steps": 24897, "loss": 0.685, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 4.270976270731585e-09, "epoch": 2.99, "percentage": 99.81, "elapsed_time": "12 days, 12:09:51", "remaining_time": "0:34:03"} +{"current_steps": 24855, "total_steps": 24897, "loss": 0.821, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.5297353622787406e-09, "epoch": 2.99, "percentage": 99.83, "elapsed_time": "12 days, 12:13:36", "remaining_time": "0:30:26"} +{"current_steps": 24860, "total_steps": 24897, "loss": 0.7438, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.8590877739487205e-09, "epoch": 3.0, "percentage": 99.85, "elapsed_time": "12 days, 12:17:22", "remaining_time": "0:26:48"} +{"current_steps": 24865, "total_steps": 24897, "loss": 0.8011, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 2.2590338213890334e-09, "epoch": 3.0, "percentage": 99.87, "elapsed_time": "12 days, 12:21:08", "remaining_time": "0:23:11"} +{"current_steps": 24870, "total_steps": 24897, "loss": 0.8102, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.729573786990457e-09, "epoch": 3.0, "percentage": 99.89, "elapsed_time": "12 days, 12:24:54", "remaining_time": "0:19:34"} +{"current_steps": 24875, "total_steps": 24897, "loss": 0.8513, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.2707079199536507e-09, "epoch": 3.0, "percentage": 99.91, "elapsed_time": "12 days, 12:28:40", "remaining_time": "0:15:56"} +{"current_steps": 24880, "total_steps": 24897, "loss": 0.6736, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 8.824364362225445e-10, "epoch": 3.0, "percentage": 99.93, "elapsed_time": "12 days, 12:32:26", "remaining_time": "0:12:19"} +{"current_steps": 24885, "total_steps": 24897, "loss": 0.7454, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 5.647595185176435e-10, "epoch": 3.0, "percentage": 99.95, "elapsed_time": "12 days, 12:36:11", "remaining_time": "0:08:41"} +{"current_steps": 24890, "total_steps": 24897, "loss": 0.8128, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 3.1767731638598916e-10, "epoch": 3.0, "percentage": 99.97, "elapsed_time": "12 days, 12:39:58", "remaining_time": "0:05:04"} +{"current_steps": 24895, "total_steps": 24897, "loss": 0.8325, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": 1.4118994608458556e-10, "epoch": 3.0, "percentage": 99.99, "elapsed_time": "12 days, 12:43:43", "remaining_time": "0:01:26"} +{"current_steps": 24897, "total_steps": 24897, "loss": null, "eval_loss": null, "predict_loss": null, "reward": null, "accuracy": null, "learning_rate": null, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "12 days, 12:45:14", "remaining_time": "0:00:00"} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..54228ca --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,34883 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.9998192662208565, + "eval_steps": 500, + "global_step": 24897, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "grad_norm": 0.06317149847745895, + "learning_rate": 7.499999999999999e-07, + "loss": 1.0918, + "step": 5 + }, + { + "epoch": 0.0, + "grad_norm": 0.06490806490182877, + "learning_rate": 1.4999999999999998e-06, + "loss": 1.1945, + "step": 10 + }, + { + "epoch": 0.0, + "grad_norm": 0.06881864368915558, + "learning_rate": 2.2499999999999996e-06, + "loss": 1.1409, + "step": 15 + }, + { + "epoch": 0.0, + "grad_norm": 0.07844685763120651, + "learning_rate": 2.9999999999999997e-06, + "loss": 1.2207, + "step": 20 + }, + { + "epoch": 0.0, + "grad_norm": 0.08064830303192139, + "learning_rate": 3.7499999999999997e-06, + "loss": 1.1945, + "step": 25 + }, + { + "epoch": 0.0, + "grad_norm": 0.07337764650583267, + "learning_rate": 4.499999999999999e-06, + "loss": 1.1097, + "step": 30 + }, + { + "epoch": 0.0, + "grad_norm": 0.07508231699466705, + "learning_rate": 5.25e-06, + "loss": 1.1413, + "step": 35 + }, + { + "epoch": 0.0, + "grad_norm": 0.0660620704293251, + "learning_rate": 5.999999999999999e-06, + "loss": 1.0751, + "step": 40 + }, + { + "epoch": 0.01, + "grad_norm": 0.0696869045495987, + "learning_rate": 6.749999999999999e-06, + "loss": 1.1048, + "step": 45 + }, + { + "epoch": 0.01, + "grad_norm": 0.0708666518330574, + "learning_rate": 7.499999999999999e-06, + "loss": 1.1369, + "step": 50 + }, + { + "epoch": 0.01, + "grad_norm": 0.07739271968603134, + "learning_rate": 8.249999999999999e-06, + "loss": 1.1332, + "step": 55 + }, + { + "epoch": 0.01, + "grad_norm": 0.0700831338763237, + "learning_rate": 8.999999999999999e-06, + "loss": 1.2094, + "step": 60 + }, + { + "epoch": 0.01, + "grad_norm": 0.07708919048309326, + "learning_rate": 9.75e-06, + "loss": 1.1344, + "step": 65 + }, + { + "epoch": 0.01, + "grad_norm": 0.07628925144672394, + "learning_rate": 1.05e-05, + "loss": 1.0817, + "step": 70 + }, + { + "epoch": 0.01, + "grad_norm": 0.08013926446437836, + "learning_rate": 1.1249999999999999e-05, + "loss": 1.0898, + "step": 75 + }, + { + "epoch": 0.01, + "grad_norm": 0.09165573865175247, + "learning_rate": 1.1999999999999999e-05, + "loss": 1.1173, + "step": 80 + }, + { + "epoch": 0.01, + "grad_norm": 0.08685644716024399, + "learning_rate": 1.275e-05, + "loss": 1.1268, + "step": 85 + }, + { + "epoch": 0.01, + "grad_norm": 0.08818597346544266, + "learning_rate": 1.3499999999999998e-05, + "loss": 1.1928, + "step": 90 + }, + { + "epoch": 0.01, + "grad_norm": 0.0848746970295906, + "learning_rate": 1.4249999999999999e-05, + "loss": 1.1179, + "step": 95 + }, + { + "epoch": 0.01, + "grad_norm": 0.09676993638277054, + "learning_rate": 1.4999999999999999e-05, + "loss": 1.1478, + "step": 100 + }, + { + "epoch": 0.01, + "grad_norm": 0.09682285040616989, + "learning_rate": 1.5749999999999997e-05, + "loss": 1.0813, + "step": 105 + }, + { + "epoch": 0.01, + "grad_norm": 0.09817025810480118, + "learning_rate": 1.6499999999999998e-05, + "loss": 1.096, + "step": 110 + }, + { + "epoch": 0.01, + "grad_norm": 0.10309538245201111, + "learning_rate": 1.725e-05, + "loss": 1.1418, + "step": 115 + }, + { + "epoch": 0.01, + "grad_norm": 0.10393266379833221, + "learning_rate": 1.7999999999999997e-05, + "loss": 1.1351, + "step": 120 + }, + { + "epoch": 0.02, + "grad_norm": 0.10402549803256989, + "learning_rate": 1.875e-05, + "loss": 1.0959, + "step": 125 + }, + { + "epoch": 0.02, + "grad_norm": 0.10404133796691895, + "learning_rate": 1.95e-05, + "loss": 1.1869, + "step": 130 + }, + { + "epoch": 0.02, + "grad_norm": 0.12272530794143677, + "learning_rate": 2.025e-05, + "loss": 1.1436, + "step": 135 + }, + { + "epoch": 0.02, + "grad_norm": 0.1208878755569458, + "learning_rate": 2.1e-05, + "loss": 1.1444, + "step": 140 + }, + { + "epoch": 0.02, + "grad_norm": 0.12307845801115036, + "learning_rate": 2.1749999999999997e-05, + "loss": 1.0762, + "step": 145 + }, + { + "epoch": 0.02, + "grad_norm": 0.11315160989761353, + "learning_rate": 2.2499999999999998e-05, + "loss": 1.0269, + "step": 150 + }, + { + "epoch": 0.02, + "grad_norm": 0.10878825187683105, + "learning_rate": 2.325e-05, + "loss": 1.1535, + "step": 155 + }, + { + "epoch": 0.02, + "grad_norm": 0.11939235776662827, + "learning_rate": 2.3999999999999997e-05, + "loss": 1.1705, + "step": 160 + }, + { + "epoch": 0.02, + "grad_norm": 0.11615506559610367, + "learning_rate": 2.475e-05, + "loss": 1.1406, + "step": 165 + }, + { + "epoch": 0.02, + "grad_norm": 0.11318700015544891, + "learning_rate": 2.55e-05, + "loss": 1.0874, + "step": 170 + }, + { + "epoch": 0.02, + "grad_norm": 0.1265944391489029, + "learning_rate": 2.6249999999999998e-05, + "loss": 1.1317, + "step": 175 + }, + { + "epoch": 0.02, + "grad_norm": 0.153924360871315, + "learning_rate": 2.6999999999999996e-05, + "loss": 1.102, + "step": 180 + }, + { + "epoch": 0.02, + "grad_norm": 0.1322435736656189, + "learning_rate": 2.7749999999999997e-05, + "loss": 1.0387, + "step": 185 + }, + { + "epoch": 0.02, + "grad_norm": 0.1285255402326584, + "learning_rate": 2.8499999999999998e-05, + "loss": 1.1082, + "step": 190 + }, + { + "epoch": 0.02, + "grad_norm": 0.13724276423454285, + "learning_rate": 2.925e-05, + "loss": 1.082, + "step": 195 + }, + { + "epoch": 0.02, + "grad_norm": 0.13925635814666748, + "learning_rate": 2.9999999999999997e-05, + "loss": 1.2066, + "step": 200 + }, + { + "epoch": 0.02, + "grad_norm": 0.16304455697536469, + "learning_rate": 3.0749999999999995e-05, + "loss": 1.1404, + "step": 205 + }, + { + "epoch": 0.03, + "grad_norm": 0.1349136382341385, + "learning_rate": 3.149999999999999e-05, + "loss": 1.0513, + "step": 210 + }, + { + "epoch": 0.03, + "grad_norm": 0.150814950466156, + "learning_rate": 3.225e-05, + "loss": 1.0785, + "step": 215 + }, + { + "epoch": 0.03, + "grad_norm": 0.13001343607902527, + "learning_rate": 3.2999999999999996e-05, + "loss": 1.121, + "step": 220 + }, + { + "epoch": 0.03, + "grad_norm": 0.1322905719280243, + "learning_rate": 3.375e-05, + "loss": 1.1, + "step": 225 + }, + { + "epoch": 0.03, + "grad_norm": 0.1382080763578415, + "learning_rate": 3.45e-05, + "loss": 1.1415, + "step": 230 + }, + { + "epoch": 0.03, + "grad_norm": 0.14844882488250732, + "learning_rate": 3.5249999999999996e-05, + "loss": 1.1337, + "step": 235 + }, + { + "epoch": 0.03, + "grad_norm": 0.13436168432235718, + "learning_rate": 3.5999999999999994e-05, + "loss": 1.1736, + "step": 240 + }, + { + "epoch": 0.03, + "grad_norm": 0.1420661062002182, + "learning_rate": 3.675e-05, + "loss": 1.0822, + "step": 245 + }, + { + "epoch": 0.03, + "grad_norm": 0.14159414172172546, + "learning_rate": 3.75e-05, + "loss": 1.0864, + "step": 250 + }, + { + "epoch": 0.03, + "grad_norm": 0.15307262539863586, + "learning_rate": 3.8249999999999995e-05, + "loss": 1.114, + "step": 255 + }, + { + "epoch": 0.03, + "grad_norm": 0.1432732194662094, + "learning_rate": 3.9e-05, + "loss": 1.1041, + "step": 260 + }, + { + "epoch": 0.03, + "grad_norm": 0.14971235394477844, + "learning_rate": 3.975e-05, + "loss": 1.1015, + "step": 265 + }, + { + "epoch": 0.03, + "grad_norm": 0.13618604838848114, + "learning_rate": 4.05e-05, + "loss": 1.1041, + "step": 270 + }, + { + "epoch": 0.03, + "grad_norm": 0.15167336165905, + "learning_rate": 4.125e-05, + "loss": 1.1905, + "step": 275 + }, + { + "epoch": 0.03, + "grad_norm": 0.17375151813030243, + "learning_rate": 4.2e-05, + "loss": 1.0554, + "step": 280 + }, + { + "epoch": 0.03, + "grad_norm": 0.15129323303699493, + "learning_rate": 4.2749999999999996e-05, + "loss": 1.1595, + "step": 285 + }, + { + "epoch": 0.03, + "grad_norm": 0.13002634048461914, + "learning_rate": 4.3499999999999993e-05, + "loss": 1.0993, + "step": 290 + }, + { + "epoch": 0.04, + "grad_norm": 0.15022237598896027, + "learning_rate": 4.424999999999999e-05, + "loss": 1.1154, + "step": 295 + }, + { + "epoch": 0.04, + "grad_norm": 0.15329715609550476, + "learning_rate": 4.4999999999999996e-05, + "loss": 1.1181, + "step": 300 + }, + { + "epoch": 0.04, + "grad_norm": 0.14781033992767334, + "learning_rate": 4.5749999999999994e-05, + "loss": 1.1708, + "step": 305 + }, + { + "epoch": 0.04, + "grad_norm": 0.13594377040863037, + "learning_rate": 4.65e-05, + "loss": 1.0517, + "step": 310 + }, + { + "epoch": 0.04, + "grad_norm": 0.14029279351234436, + "learning_rate": 4.7249999999999997e-05, + "loss": 1.0883, + "step": 315 + }, + { + "epoch": 0.04, + "grad_norm": 0.14294695854187012, + "learning_rate": 4.7999999999999994e-05, + "loss": 1.166, + "step": 320 + }, + { + "epoch": 0.04, + "grad_norm": 0.1437993049621582, + "learning_rate": 4.875e-05, + "loss": 1.0838, + "step": 325 + }, + { + "epoch": 0.04, + "grad_norm": 0.13464024662971497, + "learning_rate": 4.95e-05, + "loss": 1.076, + "step": 330 + }, + { + "epoch": 0.04, + "grad_norm": 0.15120777487754822, + "learning_rate": 5.025e-05, + "loss": 1.1465, + "step": 335 + }, + { + "epoch": 0.04, + "grad_norm": 0.13077160716056824, + "learning_rate": 5.1e-05, + "loss": 0.9944, + "step": 340 + }, + { + "epoch": 0.04, + "grad_norm": 0.14656583964824677, + "learning_rate": 5.174999999999999e-05, + "loss": 1.142, + "step": 345 + }, + { + "epoch": 0.04, + "grad_norm": 0.14403922855854034, + "learning_rate": 5.2499999999999995e-05, + "loss": 1.1545, + "step": 350 + }, + { + "epoch": 0.04, + "grad_norm": 0.14558084309101105, + "learning_rate": 5.324999999999999e-05, + "loss": 1.1135, + "step": 355 + }, + { + "epoch": 0.04, + "grad_norm": 0.13940554857254028, + "learning_rate": 5.399999999999999e-05, + "loss": 1.1143, + "step": 360 + }, + { + "epoch": 0.04, + "grad_norm": 0.12889456748962402, + "learning_rate": 5.4749999999999996e-05, + "loss": 1.0995, + "step": 365 + }, + { + "epoch": 0.04, + "grad_norm": 0.13410042226314545, + "learning_rate": 5.5499999999999994e-05, + "loss": 1.0377, + "step": 370 + }, + { + "epoch": 0.05, + "grad_norm": 0.1537715345621109, + "learning_rate": 5.625e-05, + "loss": 1.1654, + "step": 375 + }, + { + "epoch": 0.05, + "grad_norm": 0.14372758567333221, + "learning_rate": 5.6999999999999996e-05, + "loss": 1.0393, + "step": 380 + }, + { + "epoch": 0.05, + "grad_norm": 0.14559227228164673, + "learning_rate": 5.7749999999999994e-05, + "loss": 1.1712, + "step": 385 + }, + { + "epoch": 0.05, + "grad_norm": 0.14143848419189453, + "learning_rate": 5.85e-05, + "loss": 1.0294, + "step": 390 + }, + { + "epoch": 0.05, + "grad_norm": 0.13969220221042633, + "learning_rate": 5.925e-05, + "loss": 1.1678, + "step": 395 + }, + { + "epoch": 0.05, + "grad_norm": 0.14875860512256622, + "learning_rate": 5.9999999999999995e-05, + "loss": 1.0829, + "step": 400 + }, + { + "epoch": 0.05, + "grad_norm": 0.13244011998176575, + "learning_rate": 6.075e-05, + "loss": 1.173, + "step": 405 + }, + { + "epoch": 0.05, + "grad_norm": 0.14143739640712738, + "learning_rate": 6.149999999999999e-05, + "loss": 1.0446, + "step": 410 + }, + { + "epoch": 0.05, + "grad_norm": 0.13888464868068695, + "learning_rate": 6.225e-05, + "loss": 1.1222, + "step": 415 + }, + { + "epoch": 0.05, + "grad_norm": 0.1454809457063675, + "learning_rate": 6.299999999999999e-05, + "loss": 1.0266, + "step": 420 + }, + { + "epoch": 0.05, + "grad_norm": 0.1294557899236679, + "learning_rate": 6.374999999999999e-05, + "loss": 1.0773, + "step": 425 + }, + { + "epoch": 0.05, + "grad_norm": 0.13563519716262817, + "learning_rate": 6.45e-05, + "loss": 1.0808, + "step": 430 + }, + { + "epoch": 0.05, + "grad_norm": 0.1332767903804779, + "learning_rate": 6.525e-05, + "loss": 1.1356, + "step": 435 + }, + { + "epoch": 0.05, + "grad_norm": 0.14194917678833008, + "learning_rate": 6.599999999999999e-05, + "loss": 1.0592, + "step": 440 + }, + { + "epoch": 0.05, + "grad_norm": 0.1359052062034607, + "learning_rate": 6.675e-05, + "loss": 1.1103, + "step": 445 + }, + { + "epoch": 0.05, + "grad_norm": 0.12448085099458694, + "learning_rate": 6.75e-05, + "loss": 1.0912, + "step": 450 + }, + { + "epoch": 0.05, + "grad_norm": 0.14592844247817993, + "learning_rate": 6.824999999999999e-05, + "loss": 1.0549, + "step": 455 + }, + { + "epoch": 0.06, + "grad_norm": 0.14550206065177917, + "learning_rate": 6.9e-05, + "loss": 1.0997, + "step": 460 + }, + { + "epoch": 0.06, + "grad_norm": 0.13571631908416748, + "learning_rate": 6.975e-05, + "loss": 1.1559, + "step": 465 + }, + { + "epoch": 0.06, + "grad_norm": 0.12359726428985596, + "learning_rate": 7.049999999999999e-05, + "loss": 1.1352, + "step": 470 + }, + { + "epoch": 0.06, + "grad_norm": 0.1370527297258377, + "learning_rate": 7.125e-05, + "loss": 1.1114, + "step": 475 + }, + { + "epoch": 0.06, + "grad_norm": 0.1392049938440323, + "learning_rate": 7.199999999999999e-05, + "loss": 1.1121, + "step": 480 + }, + { + "epoch": 0.06, + "grad_norm": 0.13348931074142456, + "learning_rate": 7.274999999999999e-05, + "loss": 1.1471, + "step": 485 + }, + { + "epoch": 0.06, + "grad_norm": 0.1287151575088501, + "learning_rate": 7.35e-05, + "loss": 1.1812, + "step": 490 + }, + { + "epoch": 0.06, + "grad_norm": 0.13077159225940704, + "learning_rate": 7.424999999999999e-05, + "loss": 1.0183, + "step": 495 + }, + { + "epoch": 0.06, + "grad_norm": 0.13283278048038483, + "learning_rate": 7.5e-05, + "loss": 1.1351, + "step": 500 + }, + { + "epoch": 0.06, + "grad_norm": 0.14058330655097961, + "learning_rate": 7.575e-05, + "loss": 1.0175, + "step": 505 + }, + { + "epoch": 0.06, + "grad_norm": 0.1260114163160324, + "learning_rate": 7.649999999999999e-05, + "loss": 1.0918, + "step": 510 + }, + { + "epoch": 0.06, + "grad_norm": 0.12077819555997849, + "learning_rate": 7.725e-05, + "loss": 1.2125, + "step": 515 + }, + { + "epoch": 0.06, + "grad_norm": 0.13014502823352814, + "learning_rate": 7.8e-05, + "loss": 1.0959, + "step": 520 + }, + { + "epoch": 0.06, + "grad_norm": 0.13080598413944244, + "learning_rate": 7.874999999999999e-05, + "loss": 1.1083, + "step": 525 + }, + { + "epoch": 0.06, + "grad_norm": 0.12461178004741669, + "learning_rate": 7.95e-05, + "loss": 1.0968, + "step": 530 + }, + { + "epoch": 0.06, + "grad_norm": 0.13079579174518585, + "learning_rate": 8.025e-05, + "loss": 1.1039, + "step": 535 + }, + { + "epoch": 0.07, + "grad_norm": 0.12605786323547363, + "learning_rate": 8.1e-05, + "loss": 1.0558, + "step": 540 + }, + { + "epoch": 0.07, + "grad_norm": 0.13258296251296997, + "learning_rate": 8.175e-05, + "loss": 1.0635, + "step": 545 + }, + { + "epoch": 0.07, + "grad_norm": 0.1320507675409317, + "learning_rate": 8.25e-05, + "loss": 1.042, + "step": 550 + }, + { + "epoch": 0.07, + "grad_norm": 0.11775451898574829, + "learning_rate": 8.325e-05, + "loss": 1.1299, + "step": 555 + }, + { + "epoch": 0.07, + "grad_norm": 0.12879742681980133, + "learning_rate": 8.4e-05, + "loss": 1.0587, + "step": 560 + }, + { + "epoch": 0.07, + "grad_norm": 0.1299828737974167, + "learning_rate": 8.474999999999999e-05, + "loss": 1.0773, + "step": 565 + }, + { + "epoch": 0.07, + "grad_norm": 0.1389782577753067, + "learning_rate": 8.549999999999999e-05, + "loss": 1.066, + "step": 570 + }, + { + "epoch": 0.07, + "grad_norm": 0.12050167471170425, + "learning_rate": 8.624999999999998e-05, + "loss": 1.0786, + "step": 575 + }, + { + "epoch": 0.07, + "grad_norm": 0.14948152005672455, + "learning_rate": 8.699999999999999e-05, + "loss": 1.1208, + "step": 580 + }, + { + "epoch": 0.07, + "grad_norm": 0.13367661833763123, + "learning_rate": 8.774999999999999e-05, + "loss": 1.0754, + "step": 585 + }, + { + "epoch": 0.07, + "grad_norm": 0.12811419367790222, + "learning_rate": 8.849999999999998e-05, + "loss": 1.1275, + "step": 590 + }, + { + "epoch": 0.07, + "grad_norm": 0.12895521521568298, + "learning_rate": 8.924999999999999e-05, + "loss": 1.112, + "step": 595 + }, + { + "epoch": 0.07, + "grad_norm": 0.1275772899389267, + "learning_rate": 8.999999999999999e-05, + "loss": 1.1171, + "step": 600 + }, + { + "epoch": 0.07, + "grad_norm": 0.12136266380548477, + "learning_rate": 9.074999999999998e-05, + "loss": 1.119, + "step": 605 + }, + { + "epoch": 0.07, + "grad_norm": 0.12577873468399048, + "learning_rate": 9.149999999999999e-05, + "loss": 1.059, + "step": 610 + }, + { + "epoch": 0.07, + "grad_norm": 0.11611288040876389, + "learning_rate": 9.224999999999999e-05, + "loss": 1.093, + "step": 615 + }, + { + "epoch": 0.07, + "grad_norm": 0.1267736703157425, + "learning_rate": 9.3e-05, + "loss": 1.1074, + "step": 620 + }, + { + "epoch": 0.08, + "grad_norm": 0.12328934669494629, + "learning_rate": 9.374999999999999e-05, + "loss": 1.0373, + "step": 625 + }, + { + "epoch": 0.08, + "grad_norm": 0.13137248158454895, + "learning_rate": 9.449999999999999e-05, + "loss": 1.0127, + "step": 630 + }, + { + "epoch": 0.08, + "grad_norm": 0.13046279549598694, + "learning_rate": 9.525e-05, + "loss": 1.0549, + "step": 635 + }, + { + "epoch": 0.08, + "grad_norm": 0.11722920835018158, + "learning_rate": 9.599999999999999e-05, + "loss": 1.0051, + "step": 640 + }, + { + "epoch": 0.08, + "grad_norm": 0.14764057099819183, + "learning_rate": 9.675e-05, + "loss": 1.1092, + "step": 645 + }, + { + "epoch": 0.08, + "grad_norm": 0.12383400648832321, + "learning_rate": 9.75e-05, + "loss": 1.1019, + "step": 650 + }, + { + "epoch": 0.08, + "grad_norm": 0.13521508872509003, + "learning_rate": 9.824999999999999e-05, + "loss": 1.0963, + "step": 655 + }, + { + "epoch": 0.08, + "grad_norm": 0.12719859182834625, + "learning_rate": 9.9e-05, + "loss": 1.1604, + "step": 660 + }, + { + "epoch": 0.08, + "grad_norm": 0.14219126105308533, + "learning_rate": 9.975e-05, + "loss": 1.0636, + "step": 665 + }, + { + "epoch": 0.08, + "grad_norm": 0.1256975382566452, + "learning_rate": 0.0001005, + "loss": 1.1046, + "step": 670 + }, + { + "epoch": 0.08, + "grad_norm": 0.12861751019954681, + "learning_rate": 0.00010125, + "loss": 1.0016, + "step": 675 + }, + { + "epoch": 0.08, + "grad_norm": 0.1278897374868393, + "learning_rate": 0.000102, + "loss": 1.108, + "step": 680 + }, + { + "epoch": 0.08, + "grad_norm": 0.11729888617992401, + "learning_rate": 0.00010275, + "loss": 1.1411, + "step": 685 + }, + { + "epoch": 0.08, + "grad_norm": 0.12147238105535507, + "learning_rate": 0.00010349999999999998, + "loss": 1.094, + "step": 690 + }, + { + "epoch": 0.08, + "grad_norm": 0.12336426228284836, + "learning_rate": 0.00010424999999999999, + "loss": 1.0397, + "step": 695 + }, + { + "epoch": 0.08, + "grad_norm": 0.12023478001356125, + "learning_rate": 0.00010499999999999999, + "loss": 1.0665, + "step": 700 + }, + { + "epoch": 0.08, + "grad_norm": 0.11755697429180145, + "learning_rate": 0.00010574999999999998, + "loss": 1.061, + "step": 705 + }, + { + "epoch": 0.09, + "grad_norm": 0.11740587651729584, + "learning_rate": 0.00010649999999999999, + "loss": 1.0637, + "step": 710 + }, + { + "epoch": 0.09, + "grad_norm": 0.13212309777736664, + "learning_rate": 0.00010724999999999999, + "loss": 1.0128, + "step": 715 + }, + { + "epoch": 0.09, + "grad_norm": 0.13335004448890686, + "learning_rate": 0.00010799999999999998, + "loss": 1.064, + "step": 720 + }, + { + "epoch": 0.09, + "grad_norm": 0.12249240279197693, + "learning_rate": 0.00010874999999999999, + "loss": 1.0939, + "step": 725 + }, + { + "epoch": 0.09, + "grad_norm": 0.13641893863677979, + "learning_rate": 0.00010949999999999999, + "loss": 1.1127, + "step": 730 + }, + { + "epoch": 0.09, + "grad_norm": 0.127156600356102, + "learning_rate": 0.00011024999999999998, + "loss": 1.0527, + "step": 735 + }, + { + "epoch": 0.09, + "grad_norm": 0.1096034049987793, + "learning_rate": 0.00011099999999999999, + "loss": 1.1304, + "step": 740 + }, + { + "epoch": 0.09, + "grad_norm": 0.12487472593784332, + "learning_rate": 0.00011174999999999999, + "loss": 1.0862, + "step": 745 + }, + { + "epoch": 0.09, + "grad_norm": 0.12395402044057846, + "learning_rate": 0.0001125, + "loss": 1.0641, + "step": 750 + }, + { + "epoch": 0.09, + "grad_norm": 0.12146257609128952, + "learning_rate": 0.00011324999999999999, + "loss": 1.1303, + "step": 755 + }, + { + "epoch": 0.09, + "grad_norm": 0.12403228133916855, + "learning_rate": 0.00011399999999999999, + "loss": 1.0214, + "step": 760 + }, + { + "epoch": 0.09, + "grad_norm": 0.11013570427894592, + "learning_rate": 0.00011475, + "loss": 1.0696, + "step": 765 + }, + { + "epoch": 0.09, + "grad_norm": 0.11409767717123032, + "learning_rate": 0.00011549999999999999, + "loss": 1.2188, + "step": 770 + }, + { + "epoch": 0.09, + "grad_norm": 0.12632502615451813, + "learning_rate": 0.00011624999999999999, + "loss": 1.113, + "step": 775 + }, + { + "epoch": 0.09, + "grad_norm": 0.11955476552248001, + "learning_rate": 0.000117, + "loss": 1.1429, + "step": 780 + }, + { + "epoch": 0.09, + "grad_norm": 0.13300061225891113, + "learning_rate": 0.00011774999999999999, + "loss": 1.1171, + "step": 785 + }, + { + "epoch": 0.1, + "grad_norm": 0.12019680440425873, + "learning_rate": 0.0001185, + "loss": 1.0675, + "step": 790 + }, + { + "epoch": 0.1, + "grad_norm": 0.12077269703149796, + "learning_rate": 0.00011925, + "loss": 1.0694, + "step": 795 + }, + { + "epoch": 0.1, + "grad_norm": 0.12203273177146912, + "learning_rate": 0.00011999999999999999, + "loss": 1.0378, + "step": 800 + }, + { + "epoch": 0.1, + "grad_norm": 0.1268533170223236, + "learning_rate": 0.00012075, + "loss": 1.1294, + "step": 805 + }, + { + "epoch": 0.1, + "grad_norm": 0.1281730681657791, + "learning_rate": 0.0001215, + "loss": 1.024, + "step": 810 + }, + { + "epoch": 0.1, + "grad_norm": 0.11289986968040466, + "learning_rate": 0.00012225, + "loss": 1.0776, + "step": 815 + }, + { + "epoch": 0.1, + "grad_norm": 0.11376605927944183, + "learning_rate": 0.00012299999999999998, + "loss": 1.107, + "step": 820 + }, + { + "epoch": 0.1, + "grad_norm": 0.1271873265504837, + "learning_rate": 0.00012374999999999997, + "loss": 1.1817, + "step": 825 + }, + { + "epoch": 0.1, + "grad_norm": 0.10974998027086258, + "learning_rate": 0.0001245, + "loss": 1.0228, + "step": 830 + }, + { + "epoch": 0.1, + "grad_norm": 0.13189394772052765, + "learning_rate": 0.00012524999999999998, + "loss": 1.1298, + "step": 835 + }, + { + "epoch": 0.1, + "grad_norm": 0.10656459629535675, + "learning_rate": 0.00012599999999999997, + "loss": 1.0833, + "step": 840 + }, + { + "epoch": 0.1, + "grad_norm": 0.14083336293697357, + "learning_rate": 0.00012675, + "loss": 1.0027, + "step": 845 + }, + { + "epoch": 0.1, + "grad_norm": 0.1123281791806221, + "learning_rate": 0.00012749999999999998, + "loss": 1.0953, + "step": 850 + }, + { + "epoch": 0.1, + "grad_norm": 0.12783868610858917, + "learning_rate": 0.00012824999999999997, + "loss": 1.0793, + "step": 855 + }, + { + "epoch": 0.1, + "grad_norm": 0.12001547962427139, + "learning_rate": 0.000129, + "loss": 1.0685, + "step": 860 + }, + { + "epoch": 0.1, + "grad_norm": 0.11165610700845718, + "learning_rate": 0.00012974999999999998, + "loss": 1.111, + "step": 865 + }, + { + "epoch": 0.1, + "grad_norm": 0.12007506936788559, + "learning_rate": 0.0001305, + "loss": 1.0681, + "step": 870 + }, + { + "epoch": 0.11, + "grad_norm": 0.12255184352397919, + "learning_rate": 0.00013125, + "loss": 1.1185, + "step": 875 + }, + { + "epoch": 0.11, + "grad_norm": 0.12230581790208817, + "learning_rate": 0.00013199999999999998, + "loss": 1.0196, + "step": 880 + }, + { + "epoch": 0.11, + "grad_norm": 0.11624744534492493, + "learning_rate": 0.00013275, + "loss": 1.0478, + "step": 885 + }, + { + "epoch": 0.11, + "grad_norm": 0.11575216054916382, + "learning_rate": 0.0001335, + "loss": 1.0387, + "step": 890 + }, + { + "epoch": 0.11, + "grad_norm": 0.1169903427362442, + "learning_rate": 0.00013424999999999998, + "loss": 1.1127, + "step": 895 + }, + { + "epoch": 0.11, + "grad_norm": 0.11636984348297119, + "learning_rate": 0.000135, + "loss": 1.0555, + "step": 900 + }, + { + "epoch": 0.11, + "grad_norm": 0.12122248113155365, + "learning_rate": 0.00013575, + "loss": 1.1497, + "step": 905 + }, + { + "epoch": 0.11, + "grad_norm": 0.1243358924984932, + "learning_rate": 0.00013649999999999998, + "loss": 1.0675, + "step": 910 + }, + { + "epoch": 0.11, + "grad_norm": 0.11892006546258926, + "learning_rate": 0.00013725, + "loss": 1.1499, + "step": 915 + }, + { + "epoch": 0.11, + "grad_norm": 0.12357810884714127, + "learning_rate": 0.000138, + "loss": 1.0508, + "step": 920 + }, + { + "epoch": 0.11, + "grad_norm": 0.11074083298444748, + "learning_rate": 0.00013874999999999998, + "loss": 0.9855, + "step": 925 + }, + { + "epoch": 0.11, + "grad_norm": 0.1215604916214943, + "learning_rate": 0.0001395, + "loss": 1.0723, + "step": 930 + }, + { + "epoch": 0.11, + "grad_norm": 0.11568805575370789, + "learning_rate": 0.00014025, + "loss": 1.141, + "step": 935 + }, + { + "epoch": 0.11, + "grad_norm": 0.1251344233751297, + "learning_rate": 0.00014099999999999998, + "loss": 1.0817, + "step": 940 + }, + { + "epoch": 0.11, + "grad_norm": 0.12408124655485153, + "learning_rate": 0.00014174999999999998, + "loss": 0.9859, + "step": 945 + }, + { + "epoch": 0.11, + "grad_norm": 0.13382701575756073, + "learning_rate": 0.0001425, + "loss": 1.0902, + "step": 950 + }, + { + "epoch": 0.12, + "grad_norm": 0.12058982998132706, + "learning_rate": 0.00014324999999999999, + "loss": 1.0817, + "step": 955 + }, + { + "epoch": 0.12, + "grad_norm": 0.12119226902723312, + "learning_rate": 0.00014399999999999998, + "loss": 1.0502, + "step": 960 + }, + { + "epoch": 0.12, + "grad_norm": 0.14532142877578735, + "learning_rate": 0.00014475, + "loss": 1.0244, + "step": 965 + }, + { + "epoch": 0.12, + "grad_norm": 0.12690915167331696, + "learning_rate": 0.00014549999999999999, + "loss": 1.1313, + "step": 970 + }, + { + "epoch": 0.12, + "grad_norm": 0.11626715213060379, + "learning_rate": 0.00014624999999999998, + "loss": 1.088, + "step": 975 + }, + { + "epoch": 0.12, + "grad_norm": 0.11747872829437256, + "learning_rate": 0.000147, + "loss": 1.0855, + "step": 980 + }, + { + "epoch": 0.12, + "grad_norm": 0.12771141529083252, + "learning_rate": 0.00014774999999999999, + "loss": 1.1304, + "step": 985 + }, + { + "epoch": 0.12, + "grad_norm": 0.1297111064195633, + "learning_rate": 0.00014849999999999998, + "loss": 1.0307, + "step": 990 + }, + { + "epoch": 0.12, + "grad_norm": 0.12018551677465439, + "learning_rate": 0.00014925, + "loss": 1.0946, + "step": 995 + }, + { + "epoch": 0.12, + "grad_norm": 0.11594726890325546, + "learning_rate": 0.00015, + "loss": 1.0314, + "step": 1000 + }, + { + "epoch": 0.12, + "grad_norm": 0.133875772356987, + "learning_rate": 0.00015074999999999998, + "loss": 1.0018, + "step": 1005 + }, + { + "epoch": 0.12, + "grad_norm": 0.1387271285057068, + "learning_rate": 0.0001515, + "loss": 1.0417, + "step": 1010 + }, + { + "epoch": 0.12, + "grad_norm": 0.11644894629716873, + "learning_rate": 0.00015224999999999996, + "loss": 1.045, + "step": 1015 + }, + { + "epoch": 0.12, + "grad_norm": 0.13126513361930847, + "learning_rate": 0.00015299999999999998, + "loss": 1.0666, + "step": 1020 + }, + { + "epoch": 0.12, + "grad_norm": 0.12716297805309296, + "learning_rate": 0.00015374999999999997, + "loss": 1.0578, + "step": 1025 + }, + { + "epoch": 0.12, + "grad_norm": 0.11895552277565002, + "learning_rate": 0.0001545, + "loss": 1.1052, + "step": 1030 + }, + { + "epoch": 0.12, + "grad_norm": 0.12736555933952332, + "learning_rate": 0.00015524999999999998, + "loss": 0.9881, + "step": 1035 + }, + { + "epoch": 0.13, + "grad_norm": 0.11497914791107178, + "learning_rate": 0.000156, + "loss": 1.0462, + "step": 1040 + }, + { + "epoch": 0.13, + "grad_norm": 0.13537730276584625, + "learning_rate": 0.00015675, + "loss": 0.9891, + "step": 1045 + }, + { + "epoch": 0.13, + "grad_norm": 0.12179003655910492, + "learning_rate": 0.00015749999999999998, + "loss": 1.0565, + "step": 1050 + }, + { + "epoch": 0.13, + "grad_norm": 0.12696489691734314, + "learning_rate": 0.00015824999999999997, + "loss": 1.0551, + "step": 1055 + }, + { + "epoch": 0.13, + "grad_norm": 0.11586569994688034, + "learning_rate": 0.000159, + "loss": 1.1354, + "step": 1060 + }, + { + "epoch": 0.13, + "grad_norm": 0.1284131109714508, + "learning_rate": 0.00015974999999999998, + "loss": 1.1317, + "step": 1065 + }, + { + "epoch": 0.13, + "grad_norm": 0.13363447785377502, + "learning_rate": 0.0001605, + "loss": 1.0358, + "step": 1070 + }, + { + "epoch": 0.13, + "grad_norm": 0.13264328241348267, + "learning_rate": 0.00016125, + "loss": 1.0852, + "step": 1075 + }, + { + "epoch": 0.13, + "grad_norm": 0.12372339516878128, + "learning_rate": 0.000162, + "loss": 0.997, + "step": 1080 + }, + { + "epoch": 0.13, + "grad_norm": 0.12511901557445526, + "learning_rate": 0.00016274999999999997, + "loss": 1.0837, + "step": 1085 + }, + { + "epoch": 0.13, + "grad_norm": 0.12333539128303528, + "learning_rate": 0.0001635, + "loss": 1.0565, + "step": 1090 + }, + { + "epoch": 0.13, + "grad_norm": 0.1194729283452034, + "learning_rate": 0.00016424999999999998, + "loss": 1.0099, + "step": 1095 + }, + { + "epoch": 0.13, + "grad_norm": 0.12635278701782227, + "learning_rate": 0.000165, + "loss": 1.039, + "step": 1100 + }, + { + "epoch": 0.13, + "grad_norm": 0.124270498752594, + "learning_rate": 0.00016575, + "loss": 1.165, + "step": 1105 + }, + { + "epoch": 0.13, + "grad_norm": 0.12829731404781342, + "learning_rate": 0.0001665, + "loss": 1.0653, + "step": 1110 + }, + { + "epoch": 0.13, + "grad_norm": 0.13601495325565338, + "learning_rate": 0.00016724999999999997, + "loss": 1.0509, + "step": 1115 + }, + { + "epoch": 0.13, + "grad_norm": 0.1377023309469223, + "learning_rate": 0.000168, + "loss": 1.0376, + "step": 1120 + }, + { + "epoch": 0.14, + "grad_norm": 0.12421699613332748, + "learning_rate": 0.00016874999999999998, + "loss": 1.0082, + "step": 1125 + }, + { + "epoch": 0.14, + "grad_norm": 0.12038341909646988, + "learning_rate": 0.00016949999999999997, + "loss": 1.0865, + "step": 1130 + }, + { + "epoch": 0.14, + "grad_norm": 0.11900181323289871, + "learning_rate": 0.00017025, + "loss": 1.1051, + "step": 1135 + }, + { + "epoch": 0.14, + "grad_norm": 0.12548121809959412, + "learning_rate": 0.00017099999999999998, + "loss": 1.1436, + "step": 1140 + }, + { + "epoch": 0.14, + "grad_norm": 0.12389590591192245, + "learning_rate": 0.00017175, + "loss": 0.9946, + "step": 1145 + }, + { + "epoch": 0.14, + "grad_norm": 0.13046157360076904, + "learning_rate": 0.00017249999999999996, + "loss": 1.0448, + "step": 1150 + }, + { + "epoch": 0.14, + "grad_norm": 0.13118329644203186, + "learning_rate": 0.00017324999999999998, + "loss": 1.0698, + "step": 1155 + }, + { + "epoch": 0.14, + "grad_norm": 0.11619829386472702, + "learning_rate": 0.00017399999999999997, + "loss": 1.0619, + "step": 1160 + }, + { + "epoch": 0.14, + "grad_norm": 0.12934699654579163, + "learning_rate": 0.00017475, + "loss": 1.0755, + "step": 1165 + }, + { + "epoch": 0.14, + "grad_norm": 0.13581542670726776, + "learning_rate": 0.00017549999999999998, + "loss": 1.0456, + "step": 1170 + }, + { + "epoch": 0.14, + "grad_norm": 0.1390586644411087, + "learning_rate": 0.00017625, + "loss": 1.0822, + "step": 1175 + }, + { + "epoch": 0.14, + "grad_norm": 0.13362278044223785, + "learning_rate": 0.00017699999999999997, + "loss": 1.0588, + "step": 1180 + }, + { + "epoch": 0.14, + "grad_norm": 0.1188979223370552, + "learning_rate": 0.00017774999999999998, + "loss": 1.0941, + "step": 1185 + }, + { + "epoch": 0.14, + "grad_norm": 0.11467181891202927, + "learning_rate": 0.00017849999999999997, + "loss": 1.0485, + "step": 1190 + }, + { + "epoch": 0.14, + "grad_norm": 0.13196997344493866, + "learning_rate": 0.00017925, + "loss": 1.1128, + "step": 1195 + }, + { + "epoch": 0.14, + "grad_norm": 0.13005390763282776, + "learning_rate": 0.00017999999999999998, + "loss": 1.0536, + "step": 1200 + }, + { + "epoch": 0.15, + "grad_norm": 0.13372902572155, + "learning_rate": 0.00018075, + "loss": 1.1123, + "step": 1205 + }, + { + "epoch": 0.15, + "grad_norm": 0.13549335300922394, + "learning_rate": 0.00018149999999999997, + "loss": 1.0998, + "step": 1210 + }, + { + "epoch": 0.15, + "grad_norm": 0.13829483091831207, + "learning_rate": 0.00018224999999999998, + "loss": 1.0174, + "step": 1215 + }, + { + "epoch": 0.15, + "grad_norm": 0.1173296719789505, + "learning_rate": 0.00018299999999999998, + "loss": 1.0898, + "step": 1220 + }, + { + "epoch": 0.15, + "grad_norm": 0.12226750701665878, + "learning_rate": 0.00018375, + "loss": 1.0516, + "step": 1225 + }, + { + "epoch": 0.15, + "grad_norm": 0.12172769755125046, + "learning_rate": 0.00018449999999999999, + "loss": 1.0495, + "step": 1230 + }, + { + "epoch": 0.15, + "grad_norm": 0.12832506000995636, + "learning_rate": 0.00018525, + "loss": 1.0816, + "step": 1235 + }, + { + "epoch": 0.15, + "grad_norm": 0.12533822655677795, + "learning_rate": 0.000186, + "loss": 1.0122, + "step": 1240 + }, + { + "epoch": 0.15, + "grad_norm": 0.13508310914039612, + "learning_rate": 0.00018675, + "loss": 1.0122, + "step": 1245 + }, + { + "epoch": 0.15, + "grad_norm": 0.11473240703344345, + "learning_rate": 0.00018749999999999998, + "loss": 1.0813, + "step": 1250 + }, + { + "epoch": 0.15, + "grad_norm": 0.12293410301208496, + "learning_rate": 0.00018824999999999997, + "loss": 1.03, + "step": 1255 + }, + { + "epoch": 0.15, + "grad_norm": 0.14231853187084198, + "learning_rate": 0.00018899999999999999, + "loss": 1.0724, + "step": 1260 + }, + { + "epoch": 0.15, + "grad_norm": 0.1204795315861702, + "learning_rate": 0.00018974999999999998, + "loss": 1.0449, + "step": 1265 + }, + { + "epoch": 0.15, + "grad_norm": 0.12521016597747803, + "learning_rate": 0.0001905, + "loss": 1.1008, + "step": 1270 + }, + { + "epoch": 0.15, + "grad_norm": 0.12301227450370789, + "learning_rate": 0.00019124999999999996, + "loss": 1.1471, + "step": 1275 + }, + { + "epoch": 0.15, + "grad_norm": 0.1287146359682083, + "learning_rate": 0.00019199999999999998, + "loss": 1.0501, + "step": 1280 + }, + { + "epoch": 0.15, + "grad_norm": 0.13978512585163116, + "learning_rate": 0.00019274999999999997, + "loss": 1.03, + "step": 1285 + }, + { + "epoch": 0.16, + "grad_norm": 0.12224988639354706, + "learning_rate": 0.0001935, + "loss": 1.0996, + "step": 1290 + }, + { + "epoch": 0.16, + "grad_norm": 0.1454314887523651, + "learning_rate": 0.00019424999999999998, + "loss": 1.0529, + "step": 1295 + }, + { + "epoch": 0.16, + "grad_norm": 0.12719061970710754, + "learning_rate": 0.000195, + "loss": 1.0984, + "step": 1300 + }, + { + "epoch": 0.16, + "grad_norm": 0.13518300652503967, + "learning_rate": 0.00019574999999999996, + "loss": 1.0336, + "step": 1305 + }, + { + "epoch": 0.16, + "grad_norm": 0.1353674679994583, + "learning_rate": 0.00019649999999999998, + "loss": 1.1046, + "step": 1310 + }, + { + "epoch": 0.16, + "grad_norm": 0.13263052701950073, + "learning_rate": 0.00019724999999999997, + "loss": 0.9654, + "step": 1315 + }, + { + "epoch": 0.16, + "grad_norm": 0.13989952206611633, + "learning_rate": 0.000198, + "loss": 1.0994, + "step": 1320 + }, + { + "epoch": 0.16, + "grad_norm": 0.13030202686786652, + "learning_rate": 0.00019874999999999998, + "loss": 1.1445, + "step": 1325 + }, + { + "epoch": 0.16, + "grad_norm": 0.12201202660799026, + "learning_rate": 0.0001995, + "loss": 1.0605, + "step": 1330 + }, + { + "epoch": 0.16, + "grad_norm": 0.1385253220796585, + "learning_rate": 0.00020025, + "loss": 1.0405, + "step": 1335 + }, + { + "epoch": 0.16, + "grad_norm": 0.14180108904838562, + "learning_rate": 0.000201, + "loss": 1.0612, + "step": 1340 + }, + { + "epoch": 0.16, + "grad_norm": 0.1332985907793045, + "learning_rate": 0.00020174999999999997, + "loss": 1.0653, + "step": 1345 + }, + { + "epoch": 0.16, + "grad_norm": 0.14803795516490936, + "learning_rate": 0.0002025, + "loss": 1.1237, + "step": 1350 + }, + { + "epoch": 0.16, + "grad_norm": 0.13238713145256042, + "learning_rate": 0.00020324999999999998, + "loss": 1.1257, + "step": 1355 + }, + { + "epoch": 0.16, + "grad_norm": 0.12412701547145844, + "learning_rate": 0.000204, + "loss": 1.0947, + "step": 1360 + }, + { + "epoch": 0.16, + "grad_norm": 0.13152962923049927, + "learning_rate": 0.00020475, + "loss": 1.1676, + "step": 1365 + }, + { + "epoch": 0.17, + "grad_norm": 0.13383346796035767, + "learning_rate": 0.0002055, + "loss": 1.0314, + "step": 1370 + }, + { + "epoch": 0.17, + "grad_norm": 0.12599609792232513, + "learning_rate": 0.00020624999999999997, + "loss": 0.9767, + "step": 1375 + }, + { + "epoch": 0.17, + "grad_norm": 0.12485210597515106, + "learning_rate": 0.00020699999999999996, + "loss": 1.1578, + "step": 1380 + }, + { + "epoch": 0.17, + "grad_norm": 0.15362361073493958, + "learning_rate": 0.00020774999999999998, + "loss": 1.0263, + "step": 1385 + }, + { + "epoch": 0.17, + "grad_norm": 0.13580173254013062, + "learning_rate": 0.00020849999999999997, + "loss": 1.0553, + "step": 1390 + }, + { + "epoch": 0.17, + "grad_norm": 0.13229776918888092, + "learning_rate": 0.00020925, + "loss": 1.0242, + "step": 1395 + }, + { + "epoch": 0.17, + "grad_norm": 0.14048846065998077, + "learning_rate": 0.00020999999999999998, + "loss": 1.0541, + "step": 1400 + }, + { + "epoch": 0.17, + "grad_norm": 0.1278860718011856, + "learning_rate": 0.00021074999999999997, + "loss": 1.0295, + "step": 1405 + }, + { + "epoch": 0.17, + "grad_norm": 0.12558186054229736, + "learning_rate": 0.00021149999999999996, + "loss": 0.9833, + "step": 1410 + }, + { + "epoch": 0.17, + "grad_norm": 0.13044369220733643, + "learning_rate": 0.00021224999999999998, + "loss": 1.0244, + "step": 1415 + }, + { + "epoch": 0.17, + "grad_norm": 0.12153918296098709, + "learning_rate": 0.00021299999999999997, + "loss": 1.0513, + "step": 1420 + }, + { + "epoch": 0.17, + "grad_norm": 0.1474679559469223, + "learning_rate": 0.00021375, + "loss": 1.0771, + "step": 1425 + }, + { + "epoch": 0.17, + "grad_norm": 0.13985954225063324, + "learning_rate": 0.00021449999999999998, + "loss": 1.0419, + "step": 1430 + }, + { + "epoch": 0.17, + "grad_norm": 0.13685761392116547, + "learning_rate": 0.00021525, + "loss": 1.045, + "step": 1435 + }, + { + "epoch": 0.17, + "grad_norm": 0.13151884078979492, + "learning_rate": 0.00021599999999999996, + "loss": 1.0856, + "step": 1440 + }, + { + "epoch": 0.17, + "grad_norm": 0.12494616955518723, + "learning_rate": 0.00021674999999999998, + "loss": 1.093, + "step": 1445 + }, + { + "epoch": 0.17, + "grad_norm": 0.1363985389471054, + "learning_rate": 0.00021749999999999997, + "loss": 1.0921, + "step": 1450 + }, + { + "epoch": 0.18, + "grad_norm": 0.13812515139579773, + "learning_rate": 0.00021825, + "loss": 1.0832, + "step": 1455 + }, + { + "epoch": 0.18, + "grad_norm": 0.1363314837217331, + "learning_rate": 0.00021899999999999998, + "loss": 1.0995, + "step": 1460 + }, + { + "epoch": 0.18, + "grad_norm": 0.12492544949054718, + "learning_rate": 0.00021975, + "loss": 1.0806, + "step": 1465 + }, + { + "epoch": 0.18, + "grad_norm": 0.12725725769996643, + "learning_rate": 0.00022049999999999997, + "loss": 1.0276, + "step": 1470 + }, + { + "epoch": 0.18, + "grad_norm": 0.11777817457914352, + "learning_rate": 0.00022124999999999998, + "loss": 0.9419, + "step": 1475 + }, + { + "epoch": 0.18, + "grad_norm": 0.13982278108596802, + "learning_rate": 0.00022199999999999998, + "loss": 1.0673, + "step": 1480 + }, + { + "epoch": 0.18, + "grad_norm": 0.15291635692119598, + "learning_rate": 0.00022275, + "loss": 1.0753, + "step": 1485 + }, + { + "epoch": 0.18, + "grad_norm": 0.1316549926996231, + "learning_rate": 0.00022349999999999998, + "loss": 1.0793, + "step": 1490 + }, + { + "epoch": 0.18, + "grad_norm": 0.13658076524734497, + "learning_rate": 0.00022425, + "loss": 1.0742, + "step": 1495 + }, + { + "epoch": 0.18, + "grad_norm": 0.12889617681503296, + "learning_rate": 0.000225, + "loss": 1.0272, + "step": 1500 + }, + { + "epoch": 0.18, + "grad_norm": 0.1431025117635727, + "learning_rate": 0.00022574999999999996, + "loss": 1.056, + "step": 1505 + }, + { + "epoch": 0.18, + "grad_norm": 0.12882299721240997, + "learning_rate": 0.00022649999999999998, + "loss": 1.0965, + "step": 1510 + }, + { + "epoch": 0.18, + "grad_norm": 0.1326344758272171, + "learning_rate": 0.00022724999999999997, + "loss": 1.1601, + "step": 1515 + }, + { + "epoch": 0.18, + "grad_norm": 0.1312105506658554, + "learning_rate": 0.00022799999999999999, + "loss": 1.0286, + "step": 1520 + }, + { + "epoch": 0.18, + "grad_norm": 0.13419494032859802, + "learning_rate": 0.00022874999999999998, + "loss": 1.0998, + "step": 1525 + }, + { + "epoch": 0.18, + "grad_norm": 0.12598495185375214, + "learning_rate": 0.0002295, + "loss": 1.0099, + "step": 1530 + }, + { + "epoch": 0.18, + "grad_norm": 0.12234248965978622, + "learning_rate": 0.00023024999999999996, + "loss": 1.0512, + "step": 1535 + }, + { + "epoch": 0.19, + "grad_norm": 0.1486140936613083, + "learning_rate": 0.00023099999999999998, + "loss": 1.0563, + "step": 1540 + }, + { + "epoch": 0.19, + "grad_norm": 0.13529768586158752, + "learning_rate": 0.00023174999999999997, + "loss": 0.9952, + "step": 1545 + }, + { + "epoch": 0.19, + "grad_norm": 0.1367512345314026, + "learning_rate": 0.00023249999999999999, + "loss": 0.9924, + "step": 1550 + }, + { + "epoch": 0.19, + "grad_norm": 0.14160625636577606, + "learning_rate": 0.00023324999999999998, + "loss": 0.9568, + "step": 1555 + }, + { + "epoch": 0.19, + "grad_norm": 0.13413269817829132, + "learning_rate": 0.000234, + "loss": 1.0429, + "step": 1560 + }, + { + "epoch": 0.19, + "grad_norm": 0.13511444628238678, + "learning_rate": 0.00023474999999999996, + "loss": 1.0548, + "step": 1565 + }, + { + "epoch": 0.19, + "grad_norm": 0.13897758722305298, + "learning_rate": 0.00023549999999999998, + "loss": 1.0312, + "step": 1570 + }, + { + "epoch": 0.19, + "grad_norm": 0.13271476328372955, + "learning_rate": 0.00023624999999999997, + "loss": 1.1496, + "step": 1575 + }, + { + "epoch": 0.19, + "grad_norm": 0.12695930898189545, + "learning_rate": 0.000237, + "loss": 1.0083, + "step": 1580 + }, + { + "epoch": 0.19, + "grad_norm": 0.1538165807723999, + "learning_rate": 0.00023774999999999998, + "loss": 1.1104, + "step": 1585 + }, + { + "epoch": 0.19, + "grad_norm": 0.13440971076488495, + "learning_rate": 0.0002385, + "loss": 1.0746, + "step": 1590 + }, + { + "epoch": 0.19, + "grad_norm": 0.15520578622817993, + "learning_rate": 0.00023925, + "loss": 1.0702, + "step": 1595 + }, + { + "epoch": 0.19, + "grad_norm": 0.1417379379272461, + "learning_rate": 0.00023999999999999998, + "loss": 1.0313, + "step": 1600 + }, + { + "epoch": 0.19, + "grad_norm": 0.1348305493593216, + "learning_rate": 0.00024074999999999997, + "loss": 1.0489, + "step": 1605 + }, + { + "epoch": 0.19, + "grad_norm": 0.13864970207214355, + "learning_rate": 0.0002415, + "loss": 1.0563, + "step": 1610 + }, + { + "epoch": 0.19, + "grad_norm": 0.12686601281166077, + "learning_rate": 0.00024224999999999998, + "loss": 1.1186, + "step": 1615 + }, + { + "epoch": 0.2, + "grad_norm": 0.1524277776479721, + "learning_rate": 0.000243, + "loss": 1.0285, + "step": 1620 + }, + { + "epoch": 0.2, + "grad_norm": 0.13417251408100128, + "learning_rate": 0.00024375, + "loss": 1.0816, + "step": 1625 + }, + { + "epoch": 0.2, + "grad_norm": 0.13841432332992554, + "learning_rate": 0.0002445, + "loss": 0.9558, + "step": 1630 + }, + { + "epoch": 0.2, + "grad_norm": 0.14064748585224152, + "learning_rate": 0.00024524999999999997, + "loss": 1.0487, + "step": 1635 + }, + { + "epoch": 0.2, + "grad_norm": 0.15057429671287537, + "learning_rate": 0.00024599999999999996, + "loss": 1.0382, + "step": 1640 + }, + { + "epoch": 0.2, + "grad_norm": 0.140291228890419, + "learning_rate": 0.00024675, + "loss": 1.0297, + "step": 1645 + }, + { + "epoch": 0.2, + "grad_norm": 0.1320800930261612, + "learning_rate": 0.00024749999999999994, + "loss": 1.1047, + "step": 1650 + }, + { + "epoch": 0.2, + "grad_norm": 0.13335539400577545, + "learning_rate": 0.00024825, + "loss": 1.0456, + "step": 1655 + }, + { + "epoch": 0.2, + "grad_norm": 0.14252524077892303, + "learning_rate": 0.000249, + "loss": 1.1067, + "step": 1660 + }, + { + "epoch": 0.2, + "grad_norm": 0.14384162425994873, + "learning_rate": 0.00024974999999999997, + "loss": 1.0627, + "step": 1665 + }, + { + "epoch": 0.2, + "grad_norm": 0.1295383721590042, + "learning_rate": 0.00025049999999999996, + "loss": 0.9831, + "step": 1670 + }, + { + "epoch": 0.2, + "grad_norm": 0.14580777287483215, + "learning_rate": 0.00025125, + "loss": 1.1085, + "step": 1675 + }, + { + "epoch": 0.2, + "grad_norm": 0.1554543673992157, + "learning_rate": 0.00025199999999999995, + "loss": 1.0539, + "step": 1680 + }, + { + "epoch": 0.2, + "grad_norm": 0.1461145579814911, + "learning_rate": 0.00025275, + "loss": 1.0761, + "step": 1685 + }, + { + "epoch": 0.2, + "grad_norm": 0.12733665108680725, + "learning_rate": 0.0002535, + "loss": 1.0143, + "step": 1690 + }, + { + "epoch": 0.2, + "grad_norm": 0.16144566237926483, + "learning_rate": 0.00025425, + "loss": 0.9641, + "step": 1695 + }, + { + "epoch": 0.2, + "grad_norm": 0.14675092697143555, + "learning_rate": 0.00025499999999999996, + "loss": 1.029, + "step": 1700 + }, + { + "epoch": 0.21, + "grad_norm": 0.15714582800865173, + "learning_rate": 0.00025575, + "loss": 1.0251, + "step": 1705 + }, + { + "epoch": 0.21, + "grad_norm": 0.1321059912443161, + "learning_rate": 0.00025649999999999995, + "loss": 1.0629, + "step": 1710 + }, + { + "epoch": 0.21, + "grad_norm": 0.13915494084358215, + "learning_rate": 0.00025725, + "loss": 1.0581, + "step": 1715 + }, + { + "epoch": 0.21, + "grad_norm": 0.1294393241405487, + "learning_rate": 0.000258, + "loss": 0.939, + "step": 1720 + }, + { + "epoch": 0.21, + "grad_norm": 0.14472445845603943, + "learning_rate": 0.00025875, + "loss": 1.0293, + "step": 1725 + }, + { + "epoch": 0.21, + "grad_norm": 0.1563960462808609, + "learning_rate": 0.00025949999999999997, + "loss": 1.0984, + "step": 1730 + }, + { + "epoch": 0.21, + "grad_norm": 0.13787269592285156, + "learning_rate": 0.00026025, + "loss": 1.0645, + "step": 1735 + }, + { + "epoch": 0.21, + "grad_norm": 0.142653688788414, + "learning_rate": 0.000261, + "loss": 1.0271, + "step": 1740 + }, + { + "epoch": 0.21, + "grad_norm": 0.16362793743610382, + "learning_rate": 0.00026175, + "loss": 0.9973, + "step": 1745 + }, + { + "epoch": 0.21, + "grad_norm": 0.13521093130111694, + "learning_rate": 0.0002625, + "loss": 1.0968, + "step": 1750 + }, + { + "epoch": 0.21, + "grad_norm": 0.1348579227924347, + "learning_rate": 0.00026325, + "loss": 1.084, + "step": 1755 + }, + { + "epoch": 0.21, + "grad_norm": 0.15295952558517456, + "learning_rate": 0.00026399999999999997, + "loss": 1.0843, + "step": 1760 + }, + { + "epoch": 0.21, + "grad_norm": 0.12325224280357361, + "learning_rate": 0.00026474999999999996, + "loss": 1.0448, + "step": 1765 + }, + { + "epoch": 0.21, + "grad_norm": 0.13043299317359924, + "learning_rate": 0.0002655, + "loss": 1.0078, + "step": 1770 + }, + { + "epoch": 0.21, + "grad_norm": 0.13307566940784454, + "learning_rate": 0.00026624999999999994, + "loss": 1.0496, + "step": 1775 + }, + { + "epoch": 0.21, + "grad_norm": 0.1296854168176651, + "learning_rate": 0.000267, + "loss": 1.0945, + "step": 1780 + }, + { + "epoch": 0.22, + "grad_norm": 0.14310450851917267, + "learning_rate": 0.00026775, + "loss": 0.9254, + "step": 1785 + }, + { + "epoch": 0.22, + "grad_norm": 0.14738260209560394, + "learning_rate": 0.00026849999999999997, + "loss": 1.0589, + "step": 1790 + }, + { + "epoch": 0.22, + "grad_norm": 0.1367303431034088, + "learning_rate": 0.00026924999999999996, + "loss": 1.1256, + "step": 1795 + }, + { + "epoch": 0.22, + "grad_norm": 0.1518729031085968, + "learning_rate": 0.00027, + "loss": 1.1417, + "step": 1800 + }, + { + "epoch": 0.22, + "grad_norm": 0.14660024642944336, + "learning_rate": 0.00027074999999999994, + "loss": 1.0219, + "step": 1805 + }, + { + "epoch": 0.22, + "grad_norm": 0.14216068387031555, + "learning_rate": 0.0002715, + "loss": 1.0597, + "step": 1810 + }, + { + "epoch": 0.22, + "grad_norm": 0.1290411353111267, + "learning_rate": 0.00027225, + "loss": 1.0887, + "step": 1815 + }, + { + "epoch": 0.22, + "grad_norm": 0.14220093190670013, + "learning_rate": 0.00027299999999999997, + "loss": 1.0228, + "step": 1820 + }, + { + "epoch": 0.22, + "grad_norm": 0.15115365386009216, + "learning_rate": 0.00027374999999999996, + "loss": 1.0877, + "step": 1825 + }, + { + "epoch": 0.22, + "grad_norm": 0.12890294194221497, + "learning_rate": 0.0002745, + "loss": 1.1167, + "step": 1830 + }, + { + "epoch": 0.22, + "grad_norm": 0.14485861361026764, + "learning_rate": 0.00027525, + "loss": 1.0937, + "step": 1835 + }, + { + "epoch": 0.22, + "grad_norm": 0.1425914615392685, + "learning_rate": 0.000276, + "loss": 1.0565, + "step": 1840 + }, + { + "epoch": 0.22, + "grad_norm": 0.16691897809505463, + "learning_rate": 0.00027675, + "loss": 1.0881, + "step": 1845 + }, + { + "epoch": 0.22, + "grad_norm": 0.1356891691684723, + "learning_rate": 0.00027749999999999997, + "loss": 0.9696, + "step": 1850 + }, + { + "epoch": 0.22, + "grad_norm": 0.14420901238918304, + "learning_rate": 0.00027824999999999996, + "loss": 0.9847, + "step": 1855 + }, + { + "epoch": 0.22, + "grad_norm": 0.1378943920135498, + "learning_rate": 0.000279, + "loss": 0.9863, + "step": 1860 + }, + { + "epoch": 0.22, + "grad_norm": 0.13317394256591797, + "learning_rate": 0.00027975, + "loss": 1.0724, + "step": 1865 + }, + { + "epoch": 0.23, + "grad_norm": 0.14231087267398834, + "learning_rate": 0.0002805, + "loss": 1.0886, + "step": 1870 + }, + { + "epoch": 0.23, + "grad_norm": 0.13940946757793427, + "learning_rate": 0.00028125, + "loss": 1.047, + "step": 1875 + }, + { + "epoch": 0.23, + "grad_norm": 0.13190115988254547, + "learning_rate": 0.00028199999999999997, + "loss": 1.0192, + "step": 1880 + }, + { + "epoch": 0.23, + "grad_norm": 0.16745632886886597, + "learning_rate": 0.00028274999999999996, + "loss": 0.9855, + "step": 1885 + }, + { + "epoch": 0.23, + "grad_norm": 0.1373772770166397, + "learning_rate": 0.00028349999999999995, + "loss": 1.0242, + "step": 1890 + }, + { + "epoch": 0.23, + "grad_norm": 0.13555435836315155, + "learning_rate": 0.00028425, + "loss": 1.075, + "step": 1895 + }, + { + "epoch": 0.23, + "grad_norm": 0.145888552069664, + "learning_rate": 0.000285, + "loss": 1.0011, + "step": 1900 + }, + { + "epoch": 0.23, + "grad_norm": 0.14030475914478302, + "learning_rate": 0.00028575, + "loss": 1.0065, + "step": 1905 + }, + { + "epoch": 0.23, + "grad_norm": 0.13973671197891235, + "learning_rate": 0.00028649999999999997, + "loss": 0.9631, + "step": 1910 + }, + { + "epoch": 0.23, + "grad_norm": 0.15829509496688843, + "learning_rate": 0.00028724999999999996, + "loss": 1.0565, + "step": 1915 + }, + { + "epoch": 0.23, + "grad_norm": 0.14472809433937073, + "learning_rate": 0.00028799999999999995, + "loss": 0.9725, + "step": 1920 + }, + { + "epoch": 0.23, + "grad_norm": 0.16352474689483643, + "learning_rate": 0.00028875, + "loss": 0.9782, + "step": 1925 + }, + { + "epoch": 0.23, + "grad_norm": 0.14885759353637695, + "learning_rate": 0.0002895, + "loss": 1.0521, + "step": 1930 + }, + { + "epoch": 0.23, + "grad_norm": 0.14806737005710602, + "learning_rate": 0.00029025, + "loss": 1.0596, + "step": 1935 + }, + { + "epoch": 0.23, + "grad_norm": 0.15192674100399017, + "learning_rate": 0.00029099999999999997, + "loss": 1.0307, + "step": 1940 + }, + { + "epoch": 0.23, + "grad_norm": 0.15374353528022766, + "learning_rate": 0.00029174999999999996, + "loss": 1.0676, + "step": 1945 + }, + { + "epoch": 0.23, + "grad_norm": 0.1534864455461502, + "learning_rate": 0.00029249999999999995, + "loss": 0.9044, + "step": 1950 + }, + { + "epoch": 0.24, + "grad_norm": 0.14087004959583282, + "learning_rate": 0.00029325, + "loss": 1.0849, + "step": 1955 + }, + { + "epoch": 0.24, + "grad_norm": 0.13771598041057587, + "learning_rate": 0.000294, + "loss": 1.0698, + "step": 1960 + }, + { + "epoch": 0.24, + "grad_norm": 0.17788104712963104, + "learning_rate": 0.00029475, + "loss": 1.0747, + "step": 1965 + }, + { + "epoch": 0.24, + "grad_norm": 0.13944664597511292, + "learning_rate": 0.00029549999999999997, + "loss": 1.0289, + "step": 1970 + }, + { + "epoch": 0.24, + "grad_norm": 0.14483226835727692, + "learning_rate": 0.00029624999999999996, + "loss": 1.0552, + "step": 1975 + }, + { + "epoch": 0.24, + "grad_norm": 0.16384923458099365, + "learning_rate": 0.00029699999999999996, + "loss": 1.103, + "step": 1980 + }, + { + "epoch": 0.24, + "grad_norm": 0.17012694478034973, + "learning_rate": 0.00029775, + "loss": 1.0814, + "step": 1985 + }, + { + "epoch": 0.24, + "grad_norm": 0.1577819287776947, + "learning_rate": 0.0002985, + "loss": 0.9313, + "step": 1990 + }, + { + "epoch": 0.24, + "grad_norm": 0.13799041509628296, + "learning_rate": 0.00029925, + "loss": 0.9898, + "step": 1995 + }, + { + "epoch": 0.24, + "grad_norm": 0.15773248672485352, + "learning_rate": 0.0003, + "loss": 1.0522, + "step": 2000 + }, + { + "epoch": 0.24, + "grad_norm": 0.1652466058731079, + "learning_rate": 0.0002999999647025093, + "loss": 1.1033, + "step": 2005 + }, + { + "epoch": 0.24, + "grad_norm": 0.14737606048583984, + "learning_rate": 0.0002999998588100539, + "loss": 1.024, + "step": 2010 + }, + { + "epoch": 0.24, + "grad_norm": 0.15708868205547333, + "learning_rate": 0.0002999996823226836, + "loss": 1.055, + "step": 2015 + }, + { + "epoch": 0.24, + "grad_norm": 0.13661877810955048, + "learning_rate": 0.00029999943524048147, + "loss": 1.0728, + "step": 2020 + }, + { + "epoch": 0.24, + "grad_norm": 0.13963155448436737, + "learning_rate": 0.00029999911756356377, + "loss": 1.0962, + "step": 2025 + }, + { + "epoch": 0.24, + "grad_norm": 0.14523880183696747, + "learning_rate": 0.00029999872929208, + "loss": 0.9992, + "step": 2030 + }, + { + "epoch": 0.25, + "grad_norm": 0.1487034410238266, + "learning_rate": 0.000299998270426213, + "loss": 0.9902, + "step": 2035 + }, + { + "epoch": 0.25, + "grad_norm": 0.14978134632110596, + "learning_rate": 0.0002999977409661786, + "loss": 1.0294, + "step": 2040 + }, + { + "epoch": 0.25, + "grad_norm": 0.15391825139522552, + "learning_rate": 0.00029999714091222604, + "loss": 0.9604, + "step": 2045 + }, + { + "epoch": 0.25, + "grad_norm": 0.15368473529815674, + "learning_rate": 0.0002999964702646377, + "loss": 0.9744, + "step": 2050 + }, + { + "epoch": 0.25, + "grad_norm": 0.15019111335277557, + "learning_rate": 0.00029999572902372925, + "loss": 0.9179, + "step": 2055 + }, + { + "epoch": 0.25, + "grad_norm": 0.151919886469841, + "learning_rate": 0.00029999491718984945, + "loss": 1.0588, + "step": 2060 + }, + { + "epoch": 0.25, + "grad_norm": 0.14386044442653656, + "learning_rate": 0.00029999403476338053, + "loss": 0.9972, + "step": 2065 + }, + { + "epoch": 0.25, + "grad_norm": 0.1599544882774353, + "learning_rate": 0.0002999930817447377, + "loss": 1.01, + "step": 2070 + }, + { + "epoch": 0.25, + "grad_norm": 0.14225023984909058, + "learning_rate": 0.00029999205813436945, + "loss": 1.1015, + "step": 2075 + }, + { + "epoch": 0.25, + "grad_norm": 0.1291441023349762, + "learning_rate": 0.00029999096393275754, + "loss": 1.0002, + "step": 2080 + }, + { + "epoch": 0.25, + "grad_norm": 0.140071839094162, + "learning_rate": 0.000299989799140417, + "loss": 1.1162, + "step": 2085 + }, + { + "epoch": 0.25, + "grad_norm": 0.1789652705192566, + "learning_rate": 0.00029998856375789594, + "loss": 0.9408, + "step": 2090 + }, + { + "epoch": 0.25, + "grad_norm": 0.13465484976768494, + "learning_rate": 0.00029998725778577584, + "loss": 1.0336, + "step": 2095 + }, + { + "epoch": 0.25, + "grad_norm": 0.13943049311637878, + "learning_rate": 0.0002999858812246713, + "loss": 1.0623, + "step": 2100 + }, + { + "epoch": 0.25, + "grad_norm": 0.15316350758075714, + "learning_rate": 0.0002999844340752302, + "loss": 1.0793, + "step": 2105 + }, + { + "epoch": 0.25, + "grad_norm": 0.15929552912712097, + "learning_rate": 0.00029998291633813353, + "loss": 1.0003, + "step": 2110 + }, + { + "epoch": 0.25, + "grad_norm": 0.14730267226696014, + "learning_rate": 0.00029998132801409565, + "loss": 1.0309, + "step": 2115 + }, + { + "epoch": 0.26, + "grad_norm": 0.1534448117017746, + "learning_rate": 0.00029997966910386413, + "loss": 1.0758, + "step": 2120 + }, + { + "epoch": 0.26, + "grad_norm": 0.14620815217494965, + "learning_rate": 0.00029997793960821967, + "loss": 1.1534, + "step": 2125 + }, + { + "epoch": 0.26, + "grad_norm": 0.16130419075489044, + "learning_rate": 0.00029997613952797617, + "loss": 0.9605, + "step": 2130 + }, + { + "epoch": 0.26, + "grad_norm": 0.13983474671840668, + "learning_rate": 0.00029997426886398094, + "loss": 1.0272, + "step": 2135 + }, + { + "epoch": 0.26, + "grad_norm": 0.13644209504127502, + "learning_rate": 0.00029997232761711423, + "loss": 1.0924, + "step": 2140 + }, + { + "epoch": 0.26, + "grad_norm": 0.15886028110980988, + "learning_rate": 0.0002999703157882897, + "loss": 1.1073, + "step": 2145 + }, + { + "epoch": 0.26, + "grad_norm": 0.13936792314052582, + "learning_rate": 0.0002999682333784542, + "loss": 1.0108, + "step": 2150 + }, + { + "epoch": 0.26, + "grad_norm": 0.1483025848865509, + "learning_rate": 0.0002999660803885878, + "loss": 1.0614, + "step": 2155 + }, + { + "epoch": 0.26, + "grad_norm": 0.16978415846824646, + "learning_rate": 0.00029996385681970377, + "loss": 1.0051, + "step": 2160 + }, + { + "epoch": 0.26, + "grad_norm": 0.1511315107345581, + "learning_rate": 0.0002999615626728486, + "loss": 0.9862, + "step": 2165 + }, + { + "epoch": 0.26, + "grad_norm": 0.16898401081562042, + "learning_rate": 0.00029995919794910186, + "loss": 1.0046, + "step": 2170 + }, + { + "epoch": 0.26, + "grad_norm": 0.1466691642999649, + "learning_rate": 0.00029995676264957667, + "loss": 1.0005, + "step": 2175 + }, + { + "epoch": 0.26, + "grad_norm": 0.16119731962680817, + "learning_rate": 0.000299954256775419, + "loss": 0.9917, + "step": 2180 + }, + { + "epoch": 0.26, + "grad_norm": 0.17459401488304138, + "learning_rate": 0.00029995168032780826, + "loss": 1.0336, + "step": 2185 + }, + { + "epoch": 0.26, + "grad_norm": 0.14910408854484558, + "learning_rate": 0.0002999490333079571, + "loss": 0.9864, + "step": 2190 + }, + { + "epoch": 0.26, + "grad_norm": 0.16221760213375092, + "learning_rate": 0.00029994631571711114, + "loss": 1.0274, + "step": 2195 + }, + { + "epoch": 0.27, + "grad_norm": 0.1858038604259491, + "learning_rate": 0.0002999435275565495, + "loss": 1.0693, + "step": 2200 + }, + { + "epoch": 0.27, + "grad_norm": 0.1565389484167099, + "learning_rate": 0.00029994066882758425, + "loss": 0.958, + "step": 2205 + }, + { + "epoch": 0.27, + "grad_norm": 0.1515437662601471, + "learning_rate": 0.00029993773953156095, + "loss": 1.1011, + "step": 2210 + }, + { + "epoch": 0.27, + "grad_norm": 0.16269664466381073, + "learning_rate": 0.0002999347396698581, + "loss": 1.0161, + "step": 2215 + }, + { + "epoch": 0.27, + "grad_norm": 0.18648435175418854, + "learning_rate": 0.00029993166924388755, + "loss": 0.9996, + "step": 2220 + }, + { + "epoch": 0.27, + "grad_norm": 0.15165026485919952, + "learning_rate": 0.00029992852825509443, + "loss": 1.0186, + "step": 2225 + }, + { + "epoch": 0.27, + "grad_norm": 0.15864279866218567, + "learning_rate": 0.00029992531670495695, + "loss": 1.1264, + "step": 2230 + }, + { + "epoch": 0.27, + "grad_norm": 0.13871487975120544, + "learning_rate": 0.00029992203459498654, + "loss": 1.0645, + "step": 2235 + }, + { + "epoch": 0.27, + "grad_norm": 0.15242180228233337, + "learning_rate": 0.0002999186819267279, + "loss": 1.004, + "step": 2240 + }, + { + "epoch": 0.27, + "grad_norm": 0.16039399802684784, + "learning_rate": 0.0002999152587017589, + "loss": 1.0212, + "step": 2245 + }, + { + "epoch": 0.27, + "grad_norm": 0.1544654369354248, + "learning_rate": 0.0002999117649216906, + "loss": 1.0053, + "step": 2250 + }, + { + "epoch": 0.27, + "grad_norm": 0.15874332189559937, + "learning_rate": 0.0002999082005881673, + "loss": 0.991, + "step": 2255 + }, + { + "epoch": 0.27, + "grad_norm": 0.1567724049091339, + "learning_rate": 0.0002999045657028666, + "loss": 0.9868, + "step": 2260 + }, + { + "epoch": 0.27, + "grad_norm": 0.168124258518219, + "learning_rate": 0.000299900860267499, + "loss": 0.9966, + "step": 2265 + }, + { + "epoch": 0.27, + "grad_norm": 0.14472615718841553, + "learning_rate": 0.0002998970842838086, + "loss": 1.0268, + "step": 2270 + }, + { + "epoch": 0.27, + "grad_norm": 0.1609342396259308, + "learning_rate": 0.0002998932377535723, + "loss": 1.1297, + "step": 2275 + }, + { + "epoch": 0.27, + "grad_norm": 0.14865976572036743, + "learning_rate": 0.0002998893206786006, + "loss": 1.0403, + "step": 2280 + }, + { + "epoch": 0.28, + "grad_norm": 0.162654310464859, + "learning_rate": 0.0002998853330607369, + "loss": 1.0732, + "step": 2285 + }, + { + "epoch": 0.28, + "grad_norm": 0.15120600163936615, + "learning_rate": 0.0002998812749018579, + "loss": 1.0225, + "step": 2290 + }, + { + "epoch": 0.28, + "grad_norm": 0.14963847398757935, + "learning_rate": 0.0002998771462038735, + "loss": 0.9712, + "step": 2295 + }, + { + "epoch": 0.28, + "grad_norm": 0.14909087121486664, + "learning_rate": 0.00029987294696872687, + "loss": 1.0717, + "step": 2300 + }, + { + "epoch": 0.28, + "grad_norm": 0.15834349393844604, + "learning_rate": 0.00029986867719839427, + "loss": 1.1024, + "step": 2305 + }, + { + "epoch": 0.28, + "grad_norm": 0.14275187253952026, + "learning_rate": 0.00029986433689488515, + "loss": 1.0141, + "step": 2310 + }, + { + "epoch": 0.28, + "grad_norm": 0.148543119430542, + "learning_rate": 0.0002998599260602423, + "loss": 1.0205, + "step": 2315 + }, + { + "epoch": 0.28, + "grad_norm": 0.14403221011161804, + "learning_rate": 0.00029985544469654155, + "loss": 1.0232, + "step": 2320 + }, + { + "epoch": 0.28, + "grad_norm": 0.1535564363002777, + "learning_rate": 0.000299850892805892, + "loss": 0.9793, + "step": 2325 + }, + { + "epoch": 0.28, + "grad_norm": 0.143857941031456, + "learning_rate": 0.00029984627039043583, + "loss": 0.9961, + "step": 2330 + }, + { + "epoch": 0.28, + "grad_norm": 0.17255234718322754, + "learning_rate": 0.0002998415774523486, + "loss": 0.9796, + "step": 2335 + }, + { + "epoch": 0.28, + "grad_norm": 0.15468095242977142, + "learning_rate": 0.00029983681399383896, + "loss": 1.0223, + "step": 2340 + }, + { + "epoch": 0.28, + "grad_norm": 0.14770975708961487, + "learning_rate": 0.00029983198001714873, + "loss": 1.0694, + "step": 2345 + }, + { + "epoch": 0.28, + "grad_norm": 0.14611324667930603, + "learning_rate": 0.00029982707552455293, + "loss": 1.0747, + "step": 2350 + }, + { + "epoch": 0.28, + "grad_norm": 0.19976738095283508, + "learning_rate": 0.0002998221005183598, + "loss": 1.0519, + "step": 2355 + }, + { + "epoch": 0.28, + "grad_norm": 0.1997351050376892, + "learning_rate": 0.0002998170550009107, + "loss": 1.1093, + "step": 2360 + }, + { + "epoch": 0.28, + "grad_norm": 0.15991829335689545, + "learning_rate": 0.0002998119389745802, + "loss": 1.029, + "step": 2365 + }, + { + "epoch": 0.29, + "grad_norm": 0.1683609038591385, + "learning_rate": 0.0002998067524417762, + "loss": 0.8991, + "step": 2370 + }, + { + "epoch": 0.29, + "grad_norm": 0.1613713800907135, + "learning_rate": 0.00029980149540493955, + "loss": 1.0849, + "step": 2375 + }, + { + "epoch": 0.29, + "grad_norm": 0.15293876826763153, + "learning_rate": 0.0002997961678665444, + "loss": 1.0498, + "step": 2380 + }, + { + "epoch": 0.29, + "grad_norm": 0.15544572472572327, + "learning_rate": 0.0002997907698290981, + "loss": 0.9695, + "step": 2385 + }, + { + "epoch": 0.29, + "grad_norm": 0.16265787184238434, + "learning_rate": 0.0002997853012951411, + "loss": 0.9936, + "step": 2390 + }, + { + "epoch": 0.29, + "grad_norm": 0.144724041223526, + "learning_rate": 0.00029977976226724706, + "loss": 1.0893, + "step": 2395 + }, + { + "epoch": 0.29, + "grad_norm": 0.1512562781572342, + "learning_rate": 0.00029977415274802294, + "loss": 1.0602, + "step": 2400 + }, + { + "epoch": 0.29, + "grad_norm": 0.135329931974411, + "learning_rate": 0.0002997684727401086, + "loss": 1.0371, + "step": 2405 + }, + { + "epoch": 0.29, + "grad_norm": 0.15818721055984497, + "learning_rate": 0.00029976272224617744, + "loss": 1.0003, + "step": 2410 + }, + { + "epoch": 0.29, + "grad_norm": 0.16431140899658203, + "learning_rate": 0.00029975690126893566, + "loss": 1.017, + "step": 2415 + }, + { + "epoch": 0.29, + "grad_norm": 0.1531086415052414, + "learning_rate": 0.00029975100981112284, + "loss": 1.0058, + "step": 2420 + }, + { + "epoch": 0.29, + "grad_norm": 0.15581297874450684, + "learning_rate": 0.0002997450478755118, + "loss": 0.9911, + "step": 2425 + }, + { + "epoch": 0.29, + "grad_norm": 0.14527705311775208, + "learning_rate": 0.0002997390154649083, + "loss": 1.0665, + "step": 2430 + }, + { + "epoch": 0.29, + "grad_norm": 0.1660381704568863, + "learning_rate": 0.0002997329125821515, + "loss": 0.9779, + "step": 2435 + }, + { + "epoch": 0.29, + "grad_norm": 0.18006062507629395, + "learning_rate": 0.0002997267392301135, + "loss": 1.0496, + "step": 2440 + }, + { + "epoch": 0.29, + "grad_norm": 0.16907352209091187, + "learning_rate": 0.00029972049541169974, + "loss": 0.9899, + "step": 2445 + }, + { + "epoch": 0.3, + "grad_norm": 0.15815675258636475, + "learning_rate": 0.00029971418112984883, + "loss": 1.061, + "step": 2450 + }, + { + "epoch": 0.3, + "grad_norm": 0.15669722855091095, + "learning_rate": 0.0002997077963875324, + "loss": 1.0424, + "step": 2455 + }, + { + "epoch": 0.3, + "grad_norm": 0.14894799888134003, + "learning_rate": 0.00029970134118775533, + "loss": 0.9602, + "step": 2460 + }, + { + "epoch": 0.3, + "grad_norm": 0.16584117710590363, + "learning_rate": 0.00029969481553355565, + "loss": 0.9836, + "step": 2465 + }, + { + "epoch": 0.3, + "grad_norm": 0.15635208785533905, + "learning_rate": 0.0002996882194280046, + "loss": 0.9357, + "step": 2470 + }, + { + "epoch": 0.3, + "grad_norm": 0.16133363544940948, + "learning_rate": 0.0002996815528742065, + "loss": 0.9737, + "step": 2475 + }, + { + "epoch": 0.3, + "grad_norm": 0.1643681675195694, + "learning_rate": 0.00029967481587529884, + "loss": 1.0039, + "step": 2480 + }, + { + "epoch": 0.3, + "grad_norm": 0.16857954859733582, + "learning_rate": 0.0002996680084344523, + "loss": 1.0575, + "step": 2485 + }, + { + "epoch": 0.3, + "grad_norm": 0.16123433411121368, + "learning_rate": 0.0002996611305548707, + "loss": 0.9418, + "step": 2490 + }, + { + "epoch": 0.3, + "grad_norm": 0.1680585891008377, + "learning_rate": 0.0002996541822397909, + "loss": 0.9875, + "step": 2495 + }, + { + "epoch": 0.3, + "grad_norm": 0.1484622061252594, + "learning_rate": 0.00029964716349248306, + "loss": 0.824, + "step": 2500 + }, + { + "epoch": 0.3, + "grad_norm": 0.14574463665485382, + "learning_rate": 0.0002996400743162505, + "loss": 1.0491, + "step": 2505 + }, + { + "epoch": 0.3, + "grad_norm": 0.15741370618343353, + "learning_rate": 0.0002996329147144296, + "loss": 0.9946, + "step": 2510 + }, + { + "epoch": 0.3, + "grad_norm": 0.15442806482315063, + "learning_rate": 0.0002996256846903898, + "loss": 0.9688, + "step": 2515 + }, + { + "epoch": 0.3, + "grad_norm": 0.15500134229660034, + "learning_rate": 0.00029961838424753394, + "loss": 1.0, + "step": 2520 + }, + { + "epoch": 0.3, + "grad_norm": 0.13550515472888947, + "learning_rate": 0.0002996110133892978, + "loss": 0.9205, + "step": 2525 + }, + { + "epoch": 0.3, + "grad_norm": 0.14668314158916473, + "learning_rate": 0.00029960357211915024, + "loss": 0.9877, + "step": 2530 + }, + { + "epoch": 0.31, + "grad_norm": 0.1662401258945465, + "learning_rate": 0.0002995960604405935, + "loss": 1.0079, + "step": 2535 + }, + { + "epoch": 0.31, + "grad_norm": 0.14927972853183746, + "learning_rate": 0.00029958847835716285, + "loss": 0.8561, + "step": 2540 + }, + { + "epoch": 0.31, + "grad_norm": 0.14817696809768677, + "learning_rate": 0.0002995808258724265, + "loss": 0.9245, + "step": 2545 + }, + { + "epoch": 0.31, + "grad_norm": 0.1539267748594284, + "learning_rate": 0.00029957310298998614, + "loss": 1.0536, + "step": 2550 + }, + { + "epoch": 0.31, + "grad_norm": 0.16719764471054077, + "learning_rate": 0.00029956530971347634, + "loss": 0.9806, + "step": 2555 + }, + { + "epoch": 0.31, + "grad_norm": 0.1492961347103119, + "learning_rate": 0.0002995574460465648, + "loss": 0.9849, + "step": 2560 + }, + { + "epoch": 0.31, + "grad_norm": 0.16492590308189392, + "learning_rate": 0.00029954951199295257, + "loss": 1.0159, + "step": 2565 + }, + { + "epoch": 0.31, + "grad_norm": 0.16332361102104187, + "learning_rate": 0.0002995415075563736, + "loss": 1.1316, + "step": 2570 + }, + { + "epoch": 0.31, + "grad_norm": 0.15671640634536743, + "learning_rate": 0.0002995334327405951, + "loss": 0.9887, + "step": 2575 + }, + { + "epoch": 0.31, + "grad_norm": 0.1556137055158615, + "learning_rate": 0.00029952528754941725, + "loss": 1.0926, + "step": 2580 + }, + { + "epoch": 0.31, + "grad_norm": 0.1703471690416336, + "learning_rate": 0.00029951707198667347, + "loss": 0.9838, + "step": 2585 + }, + { + "epoch": 0.31, + "grad_norm": 0.15181928873062134, + "learning_rate": 0.0002995087860562304, + "loss": 0.9467, + "step": 2590 + }, + { + "epoch": 0.31, + "grad_norm": 0.16134661436080933, + "learning_rate": 0.0002995004297619875, + "loss": 1.0854, + "step": 2595 + }, + { + "epoch": 0.31, + "grad_norm": 0.17149412631988525, + "learning_rate": 0.0002994920031078776, + "loss": 1.0174, + "step": 2600 + }, + { + "epoch": 0.31, + "grad_norm": 0.15041255950927734, + "learning_rate": 0.0002994835060978666, + "loss": 1.0738, + "step": 2605 + }, + { + "epoch": 0.31, + "grad_norm": 0.1523531824350357, + "learning_rate": 0.0002994749387359534, + "loss": 1.0006, + "step": 2610 + }, + { + "epoch": 0.32, + "grad_norm": 0.15003371238708496, + "learning_rate": 0.0002994663010261701, + "loss": 1.0203, + "step": 2615 + }, + { + "epoch": 0.32, + "grad_norm": 0.1510554850101471, + "learning_rate": 0.000299457592972582, + "loss": 0.9488, + "step": 2620 + }, + { + "epoch": 0.32, + "grad_norm": 0.1823001652956009, + "learning_rate": 0.0002994488145792872, + "loss": 0.9754, + "step": 2625 + }, + { + "epoch": 0.32, + "grad_norm": 0.15630380809307098, + "learning_rate": 0.00029943996585041736, + "loss": 1.1082, + "step": 2630 + }, + { + "epoch": 0.32, + "grad_norm": 0.1587289720773697, + "learning_rate": 0.0002994310467901367, + "loss": 1.0511, + "step": 2635 + }, + { + "epoch": 0.32, + "grad_norm": 0.1543097347021103, + "learning_rate": 0.00029942205740264306, + "loss": 1.0272, + "step": 2640 + }, + { + "epoch": 0.32, + "grad_norm": 0.16899822652339935, + "learning_rate": 0.00029941299769216704, + "loss": 1.0257, + "step": 2645 + }, + { + "epoch": 0.32, + "grad_norm": 0.14778625965118408, + "learning_rate": 0.00029940386766297246, + "loss": 0.965, + "step": 2650 + }, + { + "epoch": 0.32, + "grad_norm": 0.15615618228912354, + "learning_rate": 0.00029939466731935616, + "loss": 1.0942, + "step": 2655 + }, + { + "epoch": 0.32, + "grad_norm": 0.15470904111862183, + "learning_rate": 0.0002993853966656482, + "loss": 0.9682, + "step": 2660 + }, + { + "epoch": 0.32, + "grad_norm": 0.16802319884300232, + "learning_rate": 0.0002993760557062117, + "loss": 1.1369, + "step": 2665 + }, + { + "epoch": 0.32, + "grad_norm": 0.15009041130542755, + "learning_rate": 0.0002993666444454426, + "loss": 0.9354, + "step": 2670 + }, + { + "epoch": 0.32, + "grad_norm": 0.1728777289390564, + "learning_rate": 0.0002993571628877704, + "loss": 1.0449, + "step": 2675 + }, + { + "epoch": 0.32, + "grad_norm": 0.1533242017030716, + "learning_rate": 0.0002993476110376574, + "loss": 0.9436, + "step": 2680 + }, + { + "epoch": 0.32, + "grad_norm": 0.15997876226902008, + "learning_rate": 0.0002993379888995989, + "loss": 1.0483, + "step": 2685 + }, + { + "epoch": 0.32, + "grad_norm": 0.16369123756885529, + "learning_rate": 0.00029932829647812354, + "loss": 0.9826, + "step": 2690 + }, + { + "epoch": 0.32, + "grad_norm": 0.1492471545934677, + "learning_rate": 0.0002993185337777927, + "loss": 1.0283, + "step": 2695 + }, + { + "epoch": 0.33, + "grad_norm": 0.16298407316207886, + "learning_rate": 0.00029930870080320125, + "loss": 0.9464, + "step": 2700 + }, + { + "epoch": 0.33, + "grad_norm": 0.20998337864875793, + "learning_rate": 0.00029929879755897674, + "loss": 1.0735, + "step": 2705 + }, + { + "epoch": 0.33, + "grad_norm": 0.15956445038318634, + "learning_rate": 0.0002992888240497801, + "loss": 1.037, + "step": 2710 + }, + { + "epoch": 0.33, + "grad_norm": 0.15296678245067596, + "learning_rate": 0.0002992787802803051, + "loss": 1.0028, + "step": 2715 + }, + { + "epoch": 0.33, + "grad_norm": 0.1596369743347168, + "learning_rate": 0.0002992686662552787, + "loss": 1.0732, + "step": 2720 + }, + { + "epoch": 0.33, + "grad_norm": 0.16030800342559814, + "learning_rate": 0.0002992584819794609, + "loss": 1.0009, + "step": 2725 + }, + { + "epoch": 0.33, + "grad_norm": 0.16185402870178223, + "learning_rate": 0.00029924822745764485, + "loss": 0.9573, + "step": 2730 + }, + { + "epoch": 0.33, + "grad_norm": 0.15265031158924103, + "learning_rate": 0.0002992379026946565, + "loss": 1.0878, + "step": 2735 + }, + { + "epoch": 0.33, + "grad_norm": 0.17246966063976288, + "learning_rate": 0.00029922750769535505, + "loss": 0.9797, + "step": 2740 + }, + { + "epoch": 0.33, + "grad_norm": 0.16208067536354065, + "learning_rate": 0.00029921704246463284, + "loss": 1.0398, + "step": 2745 + }, + { + "epoch": 0.33, + "grad_norm": 0.15843920409679413, + "learning_rate": 0.0002992065070074151, + "loss": 0.9905, + "step": 2750 + }, + { + "epoch": 0.33, + "grad_norm": 0.15435267984867096, + "learning_rate": 0.0002991959013286602, + "loss": 1.0302, + "step": 2755 + }, + { + "epoch": 0.33, + "grad_norm": 0.14609667658805847, + "learning_rate": 0.00029918522543335947, + "loss": 0.9949, + "step": 2760 + }, + { + "epoch": 0.33, + "grad_norm": 0.1628682017326355, + "learning_rate": 0.00029917447932653737, + "loss": 0.9568, + "step": 2765 + }, + { + "epoch": 0.33, + "grad_norm": 0.1572001874446869, + "learning_rate": 0.0002991636630132513, + "loss": 1.0415, + "step": 2770 + }, + { + "epoch": 0.33, + "grad_norm": 0.1506408005952835, + "learning_rate": 0.0002991527764985919, + "loss": 0.9368, + "step": 2775 + }, + { + "epoch": 0.33, + "grad_norm": 0.1670454889535904, + "learning_rate": 0.00029914181978768267, + "loss": 1.0478, + "step": 2780 + }, + { + "epoch": 0.34, + "grad_norm": 0.16997024416923523, + "learning_rate": 0.0002991307928856802, + "loss": 1.0219, + "step": 2785 + }, + { + "epoch": 0.34, + "grad_norm": 0.15132923424243927, + "learning_rate": 0.00029911969579777414, + "loss": 1.0253, + "step": 2790 + }, + { + "epoch": 0.34, + "grad_norm": 0.1776067316532135, + "learning_rate": 0.00029910852852918713, + "loss": 1.0261, + "step": 2795 + }, + { + "epoch": 0.34, + "grad_norm": 0.16810853779315948, + "learning_rate": 0.0002990972910851748, + "loss": 1.1051, + "step": 2800 + }, + { + "epoch": 0.34, + "grad_norm": 0.16523437201976776, + "learning_rate": 0.0002990859834710259, + "loss": 1.0066, + "step": 2805 + }, + { + "epoch": 0.34, + "grad_norm": 0.15905992686748505, + "learning_rate": 0.0002990746056920623, + "loss": 1.0197, + "step": 2810 + }, + { + "epoch": 0.34, + "grad_norm": 0.16057956218719482, + "learning_rate": 0.00029906315775363857, + "loss": 0.9492, + "step": 2815 + }, + { + "epoch": 0.34, + "grad_norm": 0.1586558222770691, + "learning_rate": 0.0002990516396611425, + "loss": 1.0266, + "step": 2820 + }, + { + "epoch": 0.34, + "grad_norm": 0.17754611372947693, + "learning_rate": 0.0002990400514199951, + "loss": 0.9497, + "step": 2825 + }, + { + "epoch": 0.34, + "grad_norm": 0.1540936827659607, + "learning_rate": 0.00029902839303564994, + "loss": 0.9285, + "step": 2830 + }, + { + "epoch": 0.34, + "grad_norm": 0.1709967404603958, + "learning_rate": 0.00029901666451359393, + "loss": 0.9819, + "step": 2835 + }, + { + "epoch": 0.34, + "grad_norm": 0.16606543958187103, + "learning_rate": 0.0002990048658593469, + "loss": 0.999, + "step": 2840 + }, + { + "epoch": 0.34, + "grad_norm": 0.16725273430347443, + "learning_rate": 0.0002989929970784618, + "loss": 1.0302, + "step": 2845 + }, + { + "epoch": 0.34, + "grad_norm": 0.16970454156398773, + "learning_rate": 0.0002989810581765243, + "loss": 1.0709, + "step": 2850 + }, + { + "epoch": 0.34, + "grad_norm": 0.18702805042266846, + "learning_rate": 0.0002989690491591533, + "loss": 0.9305, + "step": 2855 + }, + { + "epoch": 0.34, + "grad_norm": 0.16489920020103455, + "learning_rate": 0.0002989569700320007, + "loss": 0.9604, + "step": 2860 + }, + { + "epoch": 0.35, + "grad_norm": 0.21395571529865265, + "learning_rate": 0.0002989448208007513, + "loss": 0.9137, + "step": 2865 + }, + { + "epoch": 0.35, + "grad_norm": 0.157196506857872, + "learning_rate": 0.00029893260147112287, + "loss": 1.0027, + "step": 2870 + }, + { + "epoch": 0.35, + "grad_norm": 0.16530407965183258, + "learning_rate": 0.0002989203120488663, + "loss": 1.0449, + "step": 2875 + }, + { + "epoch": 0.35, + "grad_norm": 0.15222971141338348, + "learning_rate": 0.0002989079525397654, + "loss": 0.985, + "step": 2880 + }, + { + "epoch": 0.35, + "grad_norm": 0.1723487377166748, + "learning_rate": 0.00029889552294963697, + "loss": 0.9842, + "step": 2885 + }, + { + "epoch": 0.35, + "grad_norm": 0.15952201187610626, + "learning_rate": 0.0002988830232843308, + "loss": 1.0918, + "step": 2890 + }, + { + "epoch": 0.35, + "grad_norm": 0.1670973002910614, + "learning_rate": 0.00029887045354972953, + "loss": 1.0285, + "step": 2895 + }, + { + "epoch": 0.35, + "grad_norm": 0.16919025778770447, + "learning_rate": 0.00029885781375174906, + "loss": 0.9887, + "step": 2900 + }, + { + "epoch": 0.35, + "grad_norm": 0.15993523597717285, + "learning_rate": 0.000298845103896338, + "loss": 1.0421, + "step": 2905 + }, + { + "epoch": 0.35, + "grad_norm": 0.15911990404129028, + "learning_rate": 0.00029883232398947806, + "loss": 1.0282, + "step": 2910 + }, + { + "epoch": 0.35, + "grad_norm": 0.15578506886959076, + "learning_rate": 0.0002988194740371839, + "loss": 1.0445, + "step": 2915 + }, + { + "epoch": 0.35, + "grad_norm": 0.1739857941865921, + "learning_rate": 0.0002988065540455031, + "loss": 1.1877, + "step": 2920 + }, + { + "epoch": 0.35, + "grad_norm": 0.15756095945835114, + "learning_rate": 0.0002987935640205162, + "loss": 0.997, + "step": 2925 + }, + { + "epoch": 0.35, + "grad_norm": 0.1599845141172409, + "learning_rate": 0.00029878050396833685, + "loss": 0.998, + "step": 2930 + }, + { + "epoch": 0.35, + "grad_norm": 0.15747900307178497, + "learning_rate": 0.0002987673738951115, + "loss": 0.9975, + "step": 2935 + }, + { + "epoch": 0.35, + "grad_norm": 0.17130185663700104, + "learning_rate": 0.00029875417380701954, + "loss": 1.0535, + "step": 2940 + }, + { + "epoch": 0.35, + "grad_norm": 0.17812122404575348, + "learning_rate": 0.0002987409037102734, + "loss": 0.9872, + "step": 2945 + }, + { + "epoch": 0.36, + "grad_norm": 0.16236154735088348, + "learning_rate": 0.0002987275636111185, + "loss": 1.0886, + "step": 2950 + }, + { + "epoch": 0.36, + "grad_norm": 0.16785535216331482, + "learning_rate": 0.0002987141535158331, + "loss": 0.9917, + "step": 2955 + }, + { + "epoch": 0.36, + "grad_norm": 0.1586502194404602, + "learning_rate": 0.0002987006734307283, + "loss": 1.0217, + "step": 2960 + }, + { + "epoch": 0.36, + "grad_norm": 0.15011291205883026, + "learning_rate": 0.0002986871233621484, + "loss": 1.0619, + "step": 2965 + }, + { + "epoch": 0.36, + "grad_norm": 0.14755620062351227, + "learning_rate": 0.0002986735033164706, + "loss": 1.0555, + "step": 2970 + }, + { + "epoch": 0.36, + "grad_norm": 0.1600685715675354, + "learning_rate": 0.0002986598133001048, + "loss": 0.9612, + "step": 2975 + }, + { + "epoch": 0.36, + "grad_norm": 0.15799719095230103, + "learning_rate": 0.00029864605331949396, + "loss": 0.9002, + "step": 2980 + }, + { + "epoch": 0.36, + "grad_norm": 0.16441842913627625, + "learning_rate": 0.0002986322233811141, + "loss": 0.9336, + "step": 2985 + }, + { + "epoch": 0.36, + "grad_norm": 0.16389460861682892, + "learning_rate": 0.000298618323491474, + "loss": 0.8653, + "step": 2990 + }, + { + "epoch": 0.36, + "grad_norm": 0.16231980919837952, + "learning_rate": 0.00029860435365711537, + "loss": 1.0476, + "step": 2995 + }, + { + "epoch": 0.36, + "grad_norm": 0.15994654595851898, + "learning_rate": 0.00029859031388461296, + "loss": 0.9567, + "step": 3000 + }, + { + "epoch": 0.36, + "grad_norm": 0.16480427980422974, + "learning_rate": 0.00029857620418057424, + "loss": 0.9938, + "step": 3005 + }, + { + "epoch": 0.36, + "grad_norm": 0.16214433312416077, + "learning_rate": 0.0002985620245516398, + "loss": 0.9345, + "step": 3010 + }, + { + "epoch": 0.36, + "grad_norm": 0.1897832155227661, + "learning_rate": 0.00029854777500448303, + "loss": 0.9927, + "step": 3015 + }, + { + "epoch": 0.36, + "grad_norm": 0.1605633646249771, + "learning_rate": 0.00029853345554581024, + "loss": 0.9714, + "step": 3020 + }, + { + "epoch": 0.36, + "grad_norm": 0.17080001533031464, + "learning_rate": 0.0002985190661823606, + "loss": 1.0147, + "step": 3025 + }, + { + "epoch": 0.37, + "grad_norm": 0.16237355768680573, + "learning_rate": 0.0002985046069209062, + "loss": 1.0514, + "step": 3030 + }, + { + "epoch": 0.37, + "grad_norm": 0.17489008605480194, + "learning_rate": 0.0002984900777682522, + "loss": 0.9702, + "step": 3035 + }, + { + "epoch": 0.37, + "grad_norm": 0.1539561152458191, + "learning_rate": 0.00029847547873123627, + "loss": 0.9965, + "step": 3040 + }, + { + "epoch": 0.37, + "grad_norm": 0.15789541602134705, + "learning_rate": 0.0002984608098167295, + "loss": 1.0079, + "step": 3045 + }, + { + "epoch": 0.37, + "grad_norm": 0.17130644619464874, + "learning_rate": 0.0002984460710316353, + "loss": 1.006, + "step": 3050 + }, + { + "epoch": 0.37, + "grad_norm": 0.19519822299480438, + "learning_rate": 0.0002984312623828903, + "loss": 0.9245, + "step": 3055 + }, + { + "epoch": 0.37, + "grad_norm": 0.16348280012607574, + "learning_rate": 0.000298416383877464, + "loss": 1.042, + "step": 3060 + }, + { + "epoch": 0.37, + "grad_norm": 0.14846982061862946, + "learning_rate": 0.0002984014355223587, + "loss": 1.0291, + "step": 3065 + }, + { + "epoch": 0.37, + "grad_norm": 0.18363744020462036, + "learning_rate": 0.0002983864173246096, + "loss": 1.0021, + "step": 3070 + }, + { + "epoch": 0.37, + "grad_norm": 0.15816280245780945, + "learning_rate": 0.00029837132929128474, + "loss": 0.9942, + "step": 3075 + }, + { + "epoch": 0.37, + "grad_norm": 0.1437516212463379, + "learning_rate": 0.00029835617142948503, + "loss": 1.0911, + "step": 3080 + }, + { + "epoch": 0.37, + "grad_norm": 0.16180740296840668, + "learning_rate": 0.0002983409437463443, + "loss": 1.0143, + "step": 3085 + }, + { + "epoch": 0.37, + "grad_norm": 0.1789834052324295, + "learning_rate": 0.0002983256462490292, + "loss": 1.0422, + "step": 3090 + }, + { + "epoch": 0.37, + "grad_norm": 0.17736496031284332, + "learning_rate": 0.00029831027894473925, + "loss": 1.028, + "step": 3095 + }, + { + "epoch": 0.37, + "grad_norm": 0.16583746671676636, + "learning_rate": 0.00029829484184070674, + "loss": 1.0083, + "step": 3100 + }, + { + "epoch": 0.37, + "grad_norm": 0.1849256455898285, + "learning_rate": 0.000298279334944197, + "loss": 1.0822, + "step": 3105 + }, + { + "epoch": 0.37, + "grad_norm": 0.16508488357067108, + "learning_rate": 0.000298263758262508, + "loss": 0.9659, + "step": 3110 + }, + { + "epoch": 0.38, + "grad_norm": 0.1658620983362198, + "learning_rate": 0.0002982481118029707, + "loss": 1.0032, + "step": 3115 + }, + { + "epoch": 0.38, + "grad_norm": 0.16383464634418488, + "learning_rate": 0.0002982323955729488, + "loss": 1.012, + "step": 3120 + }, + { + "epoch": 0.38, + "grad_norm": 0.16278916597366333, + "learning_rate": 0.0002982166095798389, + "loss": 1.0042, + "step": 3125 + }, + { + "epoch": 0.38, + "grad_norm": 0.16901999711990356, + "learning_rate": 0.0002982007538310704, + "loss": 0.9857, + "step": 3130 + }, + { + "epoch": 0.38, + "grad_norm": 0.15740418434143066, + "learning_rate": 0.0002981848283341056, + "loss": 0.9621, + "step": 3135 + }, + { + "epoch": 0.38, + "grad_norm": 0.1794396936893463, + "learning_rate": 0.00029816883309643946, + "loss": 0.9642, + "step": 3140 + }, + { + "epoch": 0.38, + "grad_norm": 0.16382227838039398, + "learning_rate": 0.0002981527681255999, + "loss": 1.0157, + "step": 3145 + }, + { + "epoch": 0.38, + "grad_norm": 0.17343173921108246, + "learning_rate": 0.00029813663342914774, + "loss": 1.0122, + "step": 3150 + }, + { + "epoch": 0.38, + "grad_norm": 0.16225513815879822, + "learning_rate": 0.0002981204290146764, + "loss": 0.9324, + "step": 3155 + }, + { + "epoch": 0.38, + "grad_norm": 0.1837487518787384, + "learning_rate": 0.00029810415488981223, + "loss": 0.9521, + "step": 3160 + }, + { + "epoch": 0.38, + "grad_norm": 0.16996806859970093, + "learning_rate": 0.0002980878110622144, + "loss": 0.9372, + "step": 3165 + }, + { + "epoch": 0.38, + "grad_norm": 0.1729620099067688, + "learning_rate": 0.0002980713975395748, + "loss": 1.0272, + "step": 3170 + }, + { + "epoch": 0.38, + "grad_norm": 0.15893127024173737, + "learning_rate": 0.0002980549143296182, + "loss": 1.0605, + "step": 3175 + }, + { + "epoch": 0.38, + "grad_norm": 0.19714705646038055, + "learning_rate": 0.0002980383614401023, + "loss": 1.0335, + "step": 3180 + }, + { + "epoch": 0.38, + "grad_norm": 0.17942222952842712, + "learning_rate": 0.0002980217388788172, + "loss": 1.0134, + "step": 3185 + }, + { + "epoch": 0.38, + "grad_norm": 0.1684209406375885, + "learning_rate": 0.0002980050466535861, + "loss": 1.0344, + "step": 3190 + }, + { + "epoch": 0.38, + "grad_norm": 0.16573862731456757, + "learning_rate": 0.000297988284772265, + "loss": 1.0624, + "step": 3195 + }, + { + "epoch": 0.39, + "grad_norm": 0.16821695864200592, + "learning_rate": 0.00029797145324274256, + "loss": 0.9756, + "step": 3200 + }, + { + "epoch": 0.39, + "grad_norm": 0.15828034281730652, + "learning_rate": 0.0002979545520729402, + "loss": 0.9553, + "step": 3205 + }, + { + "epoch": 0.39, + "grad_norm": 0.17686916887760162, + "learning_rate": 0.00029793758127081226, + "loss": 0.9576, + "step": 3210 + }, + { + "epoch": 0.39, + "grad_norm": 0.16397157311439514, + "learning_rate": 0.00029792054084434573, + "loss": 0.9603, + "step": 3215 + }, + { + "epoch": 0.39, + "grad_norm": 0.16657304763793945, + "learning_rate": 0.0002979034308015603, + "loss": 1.0867, + "step": 3220 + }, + { + "epoch": 0.39, + "grad_norm": 0.16404330730438232, + "learning_rate": 0.00029788625115050873, + "loss": 1.0548, + "step": 3225 + }, + { + "epoch": 0.39, + "grad_norm": 0.16127341985702515, + "learning_rate": 0.0002978690018992761, + "loss": 1.0754, + "step": 3230 + }, + { + "epoch": 0.39, + "grad_norm": 0.1616549789905548, + "learning_rate": 0.0002978516830559807, + "loss": 0.9912, + "step": 3235 + }, + { + "epoch": 0.39, + "grad_norm": 0.15977180004119873, + "learning_rate": 0.0002978342946287732, + "loss": 0.9411, + "step": 3240 + }, + { + "epoch": 0.39, + "grad_norm": 0.18043774366378784, + "learning_rate": 0.00029781683662583725, + "loss": 1.0057, + "step": 3245 + }, + { + "epoch": 0.39, + "grad_norm": 0.16147902607917786, + "learning_rate": 0.00029779930905538915, + "loss": 0.9489, + "step": 3250 + }, + { + "epoch": 0.39, + "grad_norm": 0.17931294441223145, + "learning_rate": 0.0002977817119256779, + "loss": 1.0077, + "step": 3255 + }, + { + "epoch": 0.39, + "grad_norm": 0.16193710267543793, + "learning_rate": 0.00029776404524498533, + "loss": 1.0576, + "step": 3260 + }, + { + "epoch": 0.39, + "grad_norm": 0.17987242341041565, + "learning_rate": 0.00029774630902162604, + "loss": 0.9772, + "step": 3265 + }, + { + "epoch": 0.39, + "grad_norm": 0.15659894049167633, + "learning_rate": 0.0002977285032639472, + "loss": 0.9922, + "step": 3270 + }, + { + "epoch": 0.39, + "grad_norm": 0.17230859398841858, + "learning_rate": 0.0002977106279803288, + "loss": 1.0216, + "step": 3275 + }, + { + "epoch": 0.4, + "grad_norm": 0.16389912366867065, + "learning_rate": 0.00029769268317918354, + "loss": 0.9859, + "step": 3280 + }, + { + "epoch": 0.4, + "grad_norm": 0.1696440726518631, + "learning_rate": 0.00029767466886895685, + "loss": 1.0755, + "step": 3285 + }, + { + "epoch": 0.4, + "grad_norm": 0.18958187103271484, + "learning_rate": 0.0002976565850581269, + "loss": 0.9506, + "step": 3290 + }, + { + "epoch": 0.4, + "grad_norm": 0.1598709523677826, + "learning_rate": 0.0002976384317552044, + "loss": 0.9734, + "step": 3295 + }, + { + "epoch": 0.4, + "grad_norm": 0.17023463547229767, + "learning_rate": 0.0002976202089687331, + "loss": 0.9537, + "step": 3300 + }, + { + "epoch": 0.4, + "grad_norm": 0.19109511375427246, + "learning_rate": 0.0002976019167072891, + "loss": 0.9778, + "step": 3305 + }, + { + "epoch": 0.4, + "grad_norm": 0.1838565170764923, + "learning_rate": 0.00029758355497948145, + "loss": 1.0258, + "step": 3310 + }, + { + "epoch": 0.4, + "grad_norm": 0.16939514875411987, + "learning_rate": 0.0002975651237939517, + "loss": 1.0244, + "step": 3315 + }, + { + "epoch": 0.4, + "grad_norm": 0.1645985096693039, + "learning_rate": 0.0002975466231593742, + "loss": 0.9729, + "step": 3320 + }, + { + "epoch": 0.4, + "grad_norm": 0.17347556352615356, + "learning_rate": 0.0002975280530844559, + "loss": 1.0492, + "step": 3325 + }, + { + "epoch": 0.4, + "grad_norm": 0.21827654540538788, + "learning_rate": 0.00029750941357793666, + "loss": 0.9775, + "step": 3330 + }, + { + "epoch": 0.4, + "grad_norm": 0.1544768363237381, + "learning_rate": 0.00029749070464858875, + "loss": 1.0207, + "step": 3335 + }, + { + "epoch": 0.4, + "grad_norm": 0.15815982222557068, + "learning_rate": 0.00029747192630521715, + "loss": 1.0502, + "step": 3340 + }, + { + "epoch": 0.4, + "grad_norm": 0.17267605662345886, + "learning_rate": 0.0002974530785566597, + "loss": 0.9846, + "step": 3345 + }, + { + "epoch": 0.4, + "grad_norm": 0.1674361526966095, + "learning_rate": 0.00029743416141178667, + "loss": 0.9606, + "step": 3350 + }, + { + "epoch": 0.4, + "grad_norm": 0.16751405596733093, + "learning_rate": 0.00029741517487950116, + "loss": 1.0469, + "step": 3355 + }, + { + "epoch": 0.4, + "grad_norm": 0.20405547320842743, + "learning_rate": 0.00029739611896873884, + "loss": 0.9714, + "step": 3360 + }, + { + "epoch": 0.41, + "grad_norm": 0.15737318992614746, + "learning_rate": 0.00029737699368846806, + "loss": 0.982, + "step": 3365 + }, + { + "epoch": 0.41, + "grad_norm": 0.16428694128990173, + "learning_rate": 0.0002973577990476899, + "loss": 1.0685, + "step": 3370 + }, + { + "epoch": 0.41, + "grad_norm": 0.16110824048519135, + "learning_rate": 0.0002973385350554378, + "loss": 0.947, + "step": 3375 + }, + { + "epoch": 0.41, + "grad_norm": 0.1924237459897995, + "learning_rate": 0.00029731920172077815, + "loss": 0.9267, + "step": 3380 + }, + { + "epoch": 0.41, + "grad_norm": 0.17750895023345947, + "learning_rate": 0.00029729979905280987, + "loss": 1.0132, + "step": 3385 + }, + { + "epoch": 0.41, + "grad_norm": 0.16638635098934174, + "learning_rate": 0.0002972803270606645, + "loss": 0.9343, + "step": 3390 + }, + { + "epoch": 0.41, + "grad_norm": 0.16308121383190155, + "learning_rate": 0.00029726078575350613, + "loss": 1.0279, + "step": 3395 + }, + { + "epoch": 0.41, + "grad_norm": 0.16061437129974365, + "learning_rate": 0.00029724117514053164, + "loss": 0.9822, + "step": 3400 + }, + { + "epoch": 0.41, + "grad_norm": 0.1641559600830078, + "learning_rate": 0.00029722149523097046, + "loss": 1.014, + "step": 3405 + }, + { + "epoch": 0.41, + "grad_norm": 0.16438022255897522, + "learning_rate": 0.0002972017460340845, + "loss": 1.0781, + "step": 3410 + }, + { + "epoch": 0.41, + "grad_norm": 0.16575871407985687, + "learning_rate": 0.0002971819275591684, + "loss": 1.0313, + "step": 3415 + }, + { + "epoch": 0.41, + "grad_norm": 0.1603136956691742, + "learning_rate": 0.00029716203981554947, + "loss": 0.9883, + "step": 3420 + }, + { + "epoch": 0.41, + "grad_norm": 0.1538233458995819, + "learning_rate": 0.0002971420828125875, + "loss": 1.0134, + "step": 3425 + }, + { + "epoch": 0.41, + "grad_norm": 0.15688014030456543, + "learning_rate": 0.0002971220565596749, + "loss": 0.9029, + "step": 3430 + }, + { + "epoch": 0.41, + "grad_norm": 0.17302924394607544, + "learning_rate": 0.0002971019610662367, + "loss": 0.9459, + "step": 3435 + }, + { + "epoch": 0.41, + "grad_norm": 0.17244279384613037, + "learning_rate": 0.00029708179634173055, + "loss": 0.9259, + "step": 3440 + }, + { + "epoch": 0.42, + "grad_norm": 0.17056743800640106, + "learning_rate": 0.00029706156239564665, + "loss": 0.8916, + "step": 3445 + }, + { + "epoch": 0.42, + "grad_norm": 0.18607419729232788, + "learning_rate": 0.00029704125923750766, + "loss": 0.9067, + "step": 3450 + }, + { + "epoch": 0.42, + "grad_norm": 0.18427631258964539, + "learning_rate": 0.000297020886876869, + "loss": 0.9818, + "step": 3455 + }, + { + "epoch": 0.42, + "grad_norm": 0.17508511245250702, + "learning_rate": 0.00029700044532331854, + "loss": 0.9721, + "step": 3460 + }, + { + "epoch": 0.42, + "grad_norm": 0.1710289865732193, + "learning_rate": 0.0002969799345864768, + "loss": 1.0841, + "step": 3465 + }, + { + "epoch": 0.42, + "grad_norm": 0.16923823952674866, + "learning_rate": 0.00029695935467599676, + "loss": 1.036, + "step": 3470 + }, + { + "epoch": 0.42, + "grad_norm": 0.1833118349313736, + "learning_rate": 0.00029693870560156406, + "loss": 1.0369, + "step": 3475 + }, + { + "epoch": 0.42, + "grad_norm": 0.158515065908432, + "learning_rate": 0.0002969179873728968, + "loss": 0.9474, + "step": 3480 + }, + { + "epoch": 0.42, + "grad_norm": 0.18448443710803986, + "learning_rate": 0.0002968971999997458, + "loss": 1.036, + "step": 3485 + }, + { + "epoch": 0.42, + "grad_norm": 0.17607718706130981, + "learning_rate": 0.000296876343491894, + "loss": 1.1111, + "step": 3490 + }, + { + "epoch": 0.42, + "grad_norm": 0.16396880149841309, + "learning_rate": 0.0002968554178591575, + "loss": 1.0609, + "step": 3495 + }, + { + "epoch": 0.42, + "grad_norm": 0.1581658273935318, + "learning_rate": 0.00029683442311138436, + "loss": 1.0826, + "step": 3500 + }, + { + "epoch": 0.42, + "grad_norm": 0.16231244802474976, + "learning_rate": 0.00029681335925845544, + "loss": 0.9405, + "step": 3505 + }, + { + "epoch": 0.42, + "grad_norm": 0.17052994668483734, + "learning_rate": 0.0002967922263102842, + "loss": 1.057, + "step": 3510 + }, + { + "epoch": 0.42, + "grad_norm": 0.1752976030111313, + "learning_rate": 0.00029677102427681643, + "loss": 0.9852, + "step": 3515 + }, + { + "epoch": 0.42, + "grad_norm": 0.1679937094449997, + "learning_rate": 0.00029674975316803056, + "loss": 1.053, + "step": 3520 + }, + { + "epoch": 0.42, + "grad_norm": 0.17589174211025238, + "learning_rate": 0.00029672841299393734, + "loss": 1.0338, + "step": 3525 + }, + { + "epoch": 0.43, + "grad_norm": 0.17791646718978882, + "learning_rate": 0.00029670700376458034, + "loss": 0.9818, + "step": 3530 + }, + { + "epoch": 0.43, + "grad_norm": 0.1609509289264679, + "learning_rate": 0.0002966855254900353, + "loss": 0.9841, + "step": 3535 + }, + { + "epoch": 0.43, + "grad_norm": 0.1620442420244217, + "learning_rate": 0.0002966639781804108, + "loss": 1.0825, + "step": 3540 + }, + { + "epoch": 0.43, + "grad_norm": 0.18047846853733063, + "learning_rate": 0.00029664236184584757, + "loss": 1.0661, + "step": 3545 + }, + { + "epoch": 0.43, + "grad_norm": 0.16510747373104095, + "learning_rate": 0.00029662067649651895, + "loss": 0.8942, + "step": 3550 + }, + { + "epoch": 0.43, + "grad_norm": 0.18629179894924164, + "learning_rate": 0.00029659892214263094, + "loss": 1.0014, + "step": 3555 + }, + { + "epoch": 0.43, + "grad_norm": 0.18440277874469757, + "learning_rate": 0.0002965770987944217, + "loss": 1.0379, + "step": 3560 + }, + { + "epoch": 0.43, + "grad_norm": 0.1701250523328781, + "learning_rate": 0.00029655520646216214, + "loss": 0.9512, + "step": 3565 + }, + { + "epoch": 0.43, + "grad_norm": 0.17910198867321014, + "learning_rate": 0.00029653324515615544, + "loss": 1.0178, + "step": 3570 + }, + { + "epoch": 0.43, + "grad_norm": 0.15879999101161957, + "learning_rate": 0.00029651121488673737, + "loss": 0.9555, + "step": 3575 + }, + { + "epoch": 0.43, + "grad_norm": 0.17738574743270874, + "learning_rate": 0.00029648911566427605, + "loss": 0.9916, + "step": 3580 + }, + { + "epoch": 0.43, + "grad_norm": 0.1952105015516281, + "learning_rate": 0.00029646694749917217, + "loss": 1.0, + "step": 3585 + }, + { + "epoch": 0.43, + "grad_norm": 0.1668039858341217, + "learning_rate": 0.0002964447104018588, + "loss": 0.9486, + "step": 3590 + }, + { + "epoch": 0.43, + "grad_norm": 0.15947400033473969, + "learning_rate": 0.0002964224043828014, + "loss": 0.9834, + "step": 3595 + }, + { + "epoch": 0.43, + "grad_norm": 0.18073715269565582, + "learning_rate": 0.000296400029452498, + "loss": 0.9501, + "step": 3600 + }, + { + "epoch": 0.43, + "grad_norm": 0.18462218344211578, + "learning_rate": 0.00029637758562147895, + "loss": 1.0168, + "step": 3605 + }, + { + "epoch": 0.43, + "grad_norm": 0.1783631145954132, + "learning_rate": 0.000296355072900307, + "loss": 0.9695, + "step": 3610 + }, + { + "epoch": 0.44, + "grad_norm": 0.1757393628358841, + "learning_rate": 0.00029633249129957747, + "loss": 0.9556, + "step": 3615 + }, + { + "epoch": 0.44, + "grad_norm": 0.17686530947685242, + "learning_rate": 0.000296309840829918, + "loss": 0.9561, + "step": 3620 + }, + { + "epoch": 0.44, + "grad_norm": 0.16874971985816956, + "learning_rate": 0.00029628712150198865, + "loss": 0.9509, + "step": 3625 + }, + { + "epoch": 0.44, + "grad_norm": 0.17538826167583466, + "learning_rate": 0.00029626433332648183, + "loss": 1.0664, + "step": 3630 + }, + { + "epoch": 0.44, + "grad_norm": 0.16366077959537506, + "learning_rate": 0.00029624147631412246, + "loss": 0.9833, + "step": 3635 + }, + { + "epoch": 0.44, + "grad_norm": 0.17649723589420319, + "learning_rate": 0.0002962185504756678, + "loss": 0.9077, + "step": 3640 + }, + { + "epoch": 0.44, + "grad_norm": 0.1709517389535904, + "learning_rate": 0.0002961955558219076, + "loss": 0.9386, + "step": 3645 + }, + { + "epoch": 0.44, + "grad_norm": 0.1735381931066513, + "learning_rate": 0.0002961724923636637, + "loss": 1.0339, + "step": 3650 + }, + { + "epoch": 0.44, + "grad_norm": 0.17340226471424103, + "learning_rate": 0.00029614936011179076, + "loss": 0.9962, + "step": 3655 + }, + { + "epoch": 0.44, + "grad_norm": 0.1836249977350235, + "learning_rate": 0.0002961261590771755, + "loss": 0.8727, + "step": 3660 + }, + { + "epoch": 0.44, + "grad_norm": 0.16805151104927063, + "learning_rate": 0.000296102889270737, + "loss": 0.986, + "step": 3665 + }, + { + "epoch": 0.44, + "grad_norm": 0.1725672036409378, + "learning_rate": 0.00029607955070342685, + "loss": 1.0204, + "step": 3670 + }, + { + "epoch": 0.44, + "grad_norm": 0.17753121256828308, + "learning_rate": 0.00029605614338622905, + "loss": 0.9744, + "step": 3675 + }, + { + "epoch": 0.44, + "grad_norm": 0.18001006543636322, + "learning_rate": 0.00029603266733015983, + "loss": 0.9984, + "step": 3680 + }, + { + "epoch": 0.44, + "grad_norm": 0.18695253133773804, + "learning_rate": 0.0002960091225462677, + "loss": 1.0663, + "step": 3685 + }, + { + "epoch": 0.44, + "grad_norm": 0.18563799560070038, + "learning_rate": 0.00029598550904563374, + "loss": 0.9452, + "step": 3690 + }, + { + "epoch": 0.45, + "grad_norm": 0.18646039068698883, + "learning_rate": 0.0002959618268393712, + "loss": 1.0318, + "step": 3695 + }, + { + "epoch": 0.45, + "grad_norm": 0.16049382090568542, + "learning_rate": 0.00029593807593862565, + "loss": 1.0137, + "step": 3700 + }, + { + "epoch": 0.45, + "grad_norm": 0.17187224328517914, + "learning_rate": 0.00029591425635457514, + "loss": 0.9957, + "step": 3705 + }, + { + "epoch": 0.45, + "grad_norm": 0.18150264024734497, + "learning_rate": 0.00029589036809842987, + "loss": 0.9998, + "step": 3710 + }, + { + "epoch": 0.45, + "grad_norm": 0.18180853128433228, + "learning_rate": 0.0002958664111814326, + "loss": 0.9865, + "step": 3715 + }, + { + "epoch": 0.45, + "grad_norm": 0.17173470556735992, + "learning_rate": 0.0002958423856148581, + "loss": 0.9939, + "step": 3720 + }, + { + "epoch": 0.45, + "grad_norm": 0.18035240471363068, + "learning_rate": 0.0002958182914100137, + "loss": 0.9806, + "step": 3725 + }, + { + "epoch": 0.45, + "grad_norm": 0.18080519139766693, + "learning_rate": 0.00029579412857823887, + "loss": 0.9165, + "step": 3730 + }, + { + "epoch": 0.45, + "grad_norm": 0.18667446076869965, + "learning_rate": 0.0002957698971309054, + "loss": 0.9465, + "step": 3735 + }, + { + "epoch": 0.45, + "grad_norm": 0.17435042560100555, + "learning_rate": 0.0002957455970794175, + "loss": 0.9562, + "step": 3740 + }, + { + "epoch": 0.45, + "grad_norm": 0.19074921309947968, + "learning_rate": 0.0002957212284352116, + "loss": 0.9912, + "step": 3745 + }, + { + "epoch": 0.45, + "grad_norm": 0.1836334615945816, + "learning_rate": 0.0002956967912097563, + "loss": 0.9995, + "step": 3750 + }, + { + "epoch": 0.45, + "grad_norm": 0.19965748488903046, + "learning_rate": 0.00029567228541455264, + "loss": 0.9773, + "step": 3755 + }, + { + "epoch": 0.45, + "grad_norm": 0.19002239406108856, + "learning_rate": 0.0002956477110611338, + "loss": 0.978, + "step": 3760 + }, + { + "epoch": 0.45, + "grad_norm": 0.1769300252199173, + "learning_rate": 0.00029562306816106535, + "loss": 0.9428, + "step": 3765 + }, + { + "epoch": 0.45, + "grad_norm": 0.1742662787437439, + "learning_rate": 0.000295598356725945, + "loss": 0.9801, + "step": 3770 + }, + { + "epoch": 0.45, + "grad_norm": 0.17609982192516327, + "learning_rate": 0.00029557357676740286, + "loss": 0.9655, + "step": 3775 + }, + { + "epoch": 0.46, + "grad_norm": 0.152922123670578, + "learning_rate": 0.00029554872829710114, + "loss": 1.0099, + "step": 3780 + }, + { + "epoch": 0.46, + "grad_norm": 0.18085353076457977, + "learning_rate": 0.0002955238113267344, + "loss": 1.0337, + "step": 3785 + }, + { + "epoch": 0.46, + "grad_norm": 0.17463679611682892, + "learning_rate": 0.00029549882586802923, + "loss": 0.9719, + "step": 3790 + }, + { + "epoch": 0.46, + "grad_norm": 0.1799176186323166, + "learning_rate": 0.0002954737719327448, + "loss": 0.9933, + "step": 3795 + }, + { + "epoch": 0.46, + "grad_norm": 0.18026649951934814, + "learning_rate": 0.00029544864953267224, + "loss": 1.0829, + "step": 3800 + }, + { + "epoch": 0.46, + "grad_norm": 0.18664585053920746, + "learning_rate": 0.000295423458679635, + "loss": 0.9727, + "step": 3805 + }, + { + "epoch": 0.46, + "grad_norm": 0.1912483125925064, + "learning_rate": 0.0002953981993854888, + "loss": 0.9602, + "step": 3810 + }, + { + "epoch": 0.46, + "grad_norm": 0.17371563613414764, + "learning_rate": 0.00029537287166212146, + "loss": 0.9695, + "step": 3815 + }, + { + "epoch": 0.46, + "grad_norm": 0.17529870569705963, + "learning_rate": 0.00029534747552145295, + "loss": 1.0112, + "step": 3820 + }, + { + "epoch": 0.46, + "grad_norm": 0.20106241106987, + "learning_rate": 0.00029532201097543566, + "loss": 1.045, + "step": 3825 + }, + { + "epoch": 0.46, + "grad_norm": 0.16965335607528687, + "learning_rate": 0.00029529647803605406, + "loss": 0.9602, + "step": 3830 + }, + { + "epoch": 0.46, + "grad_norm": 0.16712799668312073, + "learning_rate": 0.00029527087671532467, + "loss": 0.8681, + "step": 3835 + }, + { + "epoch": 0.46, + "grad_norm": 0.17524246871471405, + "learning_rate": 0.00029524520702529645, + "loss": 1.0298, + "step": 3840 + }, + { + "epoch": 0.46, + "grad_norm": 0.16729198396205902, + "learning_rate": 0.00029521946897805034, + "loss": 1.0393, + "step": 3845 + }, + { + "epoch": 0.46, + "grad_norm": 0.1771865338087082, + "learning_rate": 0.00029519366258569954, + "loss": 0.9163, + "step": 3850 + }, + { + "epoch": 0.46, + "grad_norm": 0.19516459107398987, + "learning_rate": 0.0002951677878603894, + "loss": 1.0929, + "step": 3855 + }, + { + "epoch": 0.47, + "grad_norm": 0.16571563482284546, + "learning_rate": 0.0002951418448142974, + "loss": 0.9895, + "step": 3860 + }, + { + "epoch": 0.47, + "grad_norm": 0.17341572046279907, + "learning_rate": 0.00029511583345963327, + "loss": 0.951, + "step": 3865 + }, + { + "epoch": 0.47, + "grad_norm": 0.16998711228370667, + "learning_rate": 0.00029508975380863867, + "loss": 0.9239, + "step": 3870 + }, + { + "epoch": 0.47, + "grad_norm": 0.17954027652740479, + "learning_rate": 0.0002950636058735877, + "loss": 0.9932, + "step": 3875 + }, + { + "epoch": 0.47, + "grad_norm": 0.17167799174785614, + "learning_rate": 0.0002950373896667864, + "loss": 1.0185, + "step": 3880 + }, + { + "epoch": 0.47, + "grad_norm": 0.16167834401130676, + "learning_rate": 0.000295011105200573, + "loss": 1.0683, + "step": 3885 + }, + { + "epoch": 0.47, + "grad_norm": 0.1931363195180893, + "learning_rate": 0.0002949847524873178, + "loss": 0.8858, + "step": 3890 + }, + { + "epoch": 0.47, + "grad_norm": 0.1638021469116211, + "learning_rate": 0.0002949583315394233, + "loss": 0.9769, + "step": 3895 + }, + { + "epoch": 0.47, + "grad_norm": 0.17214910686016083, + "learning_rate": 0.00029493184236932405, + "loss": 1.0506, + "step": 3900 + }, + { + "epoch": 0.47, + "grad_norm": 0.18750952184200287, + "learning_rate": 0.0002949052849894867, + "loss": 0.9815, + "step": 3905 + }, + { + "epoch": 0.47, + "grad_norm": 0.16336201131343842, + "learning_rate": 0.00029487865941241014, + "loss": 0.9287, + "step": 3910 + }, + { + "epoch": 0.47, + "grad_norm": 0.17103566229343414, + "learning_rate": 0.00029485196565062516, + "loss": 0.9731, + "step": 3915 + }, + { + "epoch": 0.47, + "grad_norm": 0.16729870438575745, + "learning_rate": 0.0002948252037166948, + "loss": 0.9477, + "step": 3920 + }, + { + "epoch": 0.47, + "grad_norm": 0.1882411539554596, + "learning_rate": 0.00029479837362321405, + "loss": 0.9904, + "step": 3925 + }, + { + "epoch": 0.47, + "grad_norm": 0.18706083297729492, + "learning_rate": 0.00029477147538281004, + "loss": 0.997, + "step": 3930 + }, + { + "epoch": 0.47, + "grad_norm": 0.18847805261611938, + "learning_rate": 0.000294744509008142, + "loss": 0.9378, + "step": 3935 + }, + { + "epoch": 0.47, + "grad_norm": 0.1840084046125412, + "learning_rate": 0.00029471747451190124, + "loss": 0.9559, + "step": 3940 + }, + { + "epoch": 0.48, + "grad_norm": 0.1757187843322754, + "learning_rate": 0.000294690371906811, + "loss": 1.011, + "step": 3945 + }, + { + "epoch": 0.48, + "grad_norm": 0.16202908754348755, + "learning_rate": 0.00029466320120562683, + "loss": 0.9077, + "step": 3950 + }, + { + "epoch": 0.48, + "grad_norm": 0.18490107357501984, + "learning_rate": 0.00029463596242113596, + "loss": 1.0702, + "step": 3955 + }, + { + "epoch": 0.48, + "grad_norm": 0.1752914935350418, + "learning_rate": 0.000294608655566158, + "loss": 0.9612, + "step": 3960 + }, + { + "epoch": 0.48, + "grad_norm": 0.17405173182487488, + "learning_rate": 0.00029458128065354444, + "loss": 1.0131, + "step": 3965 + }, + { + "epoch": 0.48, + "grad_norm": 0.18187612295150757, + "learning_rate": 0.0002945538376961788, + "loss": 0.9848, + "step": 3970 + }, + { + "epoch": 0.48, + "grad_norm": 0.19082453846931458, + "learning_rate": 0.0002945263267069766, + "loss": 0.9559, + "step": 3975 + }, + { + "epoch": 0.48, + "grad_norm": 0.17413316667079926, + "learning_rate": 0.0002944987476988855, + "loss": 1.0772, + "step": 3980 + }, + { + "epoch": 0.48, + "grad_norm": 0.15954262018203735, + "learning_rate": 0.00029447110068488516, + "loss": 0.9037, + "step": 3985 + }, + { + "epoch": 0.48, + "grad_norm": 0.17299918830394745, + "learning_rate": 0.000294443385677987, + "loss": 0.9624, + "step": 3990 + }, + { + "epoch": 0.48, + "grad_norm": 0.179169163107872, + "learning_rate": 0.00029441560269123483, + "loss": 0.983, + "step": 3995 + }, + { + "epoch": 0.48, + "grad_norm": 0.16181403398513794, + "learning_rate": 0.00029438775173770405, + "loss": 0.9705, + "step": 4000 + }, + { + "epoch": 0.48, + "grad_norm": 0.1745695024728775, + "learning_rate": 0.0002943598328305024, + "loss": 0.9664, + "step": 4005 + }, + { + "epoch": 0.48, + "grad_norm": 0.1865403801202774, + "learning_rate": 0.0002943318459827693, + "loss": 1.0259, + "step": 4010 + }, + { + "epoch": 0.48, + "grad_norm": 0.21468792855739594, + "learning_rate": 0.0002943037912076764, + "loss": 0.9311, + "step": 4015 + }, + { + "epoch": 0.48, + "grad_norm": 0.18576794862747192, + "learning_rate": 0.0002942756685184272, + "loss": 1.07, + "step": 4020 + }, + { + "epoch": 0.48, + "grad_norm": 0.18512584269046783, + "learning_rate": 0.0002942474779282571, + "loss": 0.9204, + "step": 4025 + }, + { + "epoch": 0.49, + "grad_norm": 0.18075776100158691, + "learning_rate": 0.00029421921945043365, + "loss": 0.9853, + "step": 4030 + }, + { + "epoch": 0.49, + "grad_norm": 0.17702947556972504, + "learning_rate": 0.0002941908930982561, + "loss": 1.0537, + "step": 4035 + }, + { + "epoch": 0.49, + "grad_norm": 0.17525263130664825, + "learning_rate": 0.0002941624988850558, + "loss": 0.9713, + "step": 4040 + }, + { + "epoch": 0.49, + "grad_norm": 0.16947941482067108, + "learning_rate": 0.00029413403682419613, + "loss": 0.9988, + "step": 4045 + }, + { + "epoch": 0.49, + "grad_norm": 0.17657147347927094, + "learning_rate": 0.0002941055069290721, + "loss": 0.9946, + "step": 4050 + }, + { + "epoch": 0.49, + "grad_norm": 0.17668572068214417, + "learning_rate": 0.00029407690921311094, + "loss": 0.9288, + "step": 4055 + }, + { + "epoch": 0.49, + "grad_norm": 0.18631796538829803, + "learning_rate": 0.0002940482436897717, + "loss": 0.9218, + "step": 4060 + }, + { + "epoch": 0.49, + "grad_norm": 0.1784496307373047, + "learning_rate": 0.00029401951037254524, + "loss": 1.059, + "step": 4065 + }, + { + "epoch": 0.49, + "grad_norm": 0.19037973880767822, + "learning_rate": 0.00029399070927495447, + "loss": 0.9622, + "step": 4070 + }, + { + "epoch": 0.49, + "grad_norm": 0.17048045992851257, + "learning_rate": 0.0002939618404105541, + "loss": 0.8903, + "step": 4075 + }, + { + "epoch": 0.49, + "grad_norm": 0.1878838837146759, + "learning_rate": 0.00029393290379293085, + "loss": 1.0106, + "step": 4080 + }, + { + "epoch": 0.49, + "grad_norm": 0.18040554225444794, + "learning_rate": 0.0002939038994357032, + "loss": 0.9517, + "step": 4085 + }, + { + "epoch": 0.49, + "grad_norm": 0.19907140731811523, + "learning_rate": 0.0002938748273525216, + "loss": 0.9628, + "step": 4090 + }, + { + "epoch": 0.49, + "grad_norm": 0.18067404627799988, + "learning_rate": 0.00029384568755706824, + "loss": 0.9726, + "step": 4095 + }, + { + "epoch": 0.49, + "grad_norm": 0.16621145606040955, + "learning_rate": 0.0002938164800630574, + "loss": 1.0339, + "step": 4100 + }, + { + "epoch": 0.49, + "grad_norm": 0.17213256657123566, + "learning_rate": 0.00029378720488423506, + "loss": 0.933, + "step": 4105 + }, + { + "epoch": 0.5, + "grad_norm": 0.1835915744304657, + "learning_rate": 0.00029375786203437906, + "loss": 0.9645, + "step": 4110 + }, + { + "epoch": 0.5, + "grad_norm": 0.19219228625297546, + "learning_rate": 0.00029372845152729916, + "loss": 1.0066, + "step": 4115 + }, + { + "epoch": 0.5, + "grad_norm": 0.1753523349761963, + "learning_rate": 0.0002936989733768368, + "loss": 0.98, + "step": 4120 + }, + { + "epoch": 0.5, + "grad_norm": 0.16420799493789673, + "learning_rate": 0.00029366942759686556, + "loss": 0.9817, + "step": 4125 + }, + { + "epoch": 0.5, + "grad_norm": 0.17462868988513947, + "learning_rate": 0.0002936398142012906, + "loss": 1.024, + "step": 4130 + }, + { + "epoch": 0.5, + "grad_norm": 0.1853259801864624, + "learning_rate": 0.0002936101332040489, + "loss": 0.9538, + "step": 4135 + }, + { + "epoch": 0.5, + "grad_norm": 0.17520953714847565, + "learning_rate": 0.00029358038461910934, + "loss": 0.9453, + "step": 4140 + }, + { + "epoch": 0.5, + "grad_norm": 0.18350806832313538, + "learning_rate": 0.00029355056846047266, + "loss": 0.9445, + "step": 4145 + }, + { + "epoch": 0.5, + "grad_norm": 0.17712032794952393, + "learning_rate": 0.0002935206847421713, + "loss": 0.9821, + "step": 4150 + }, + { + "epoch": 0.5, + "grad_norm": 0.17345529794692993, + "learning_rate": 0.00029349073347826953, + "loss": 1.0079, + "step": 4155 + }, + { + "epoch": 0.5, + "grad_norm": 0.18202108144760132, + "learning_rate": 0.0002934607146828634, + "loss": 1.0103, + "step": 4160 + }, + { + "epoch": 0.5, + "grad_norm": 0.17905019223690033, + "learning_rate": 0.00029343062837008076, + "loss": 0.9744, + "step": 4165 + }, + { + "epoch": 0.5, + "grad_norm": 0.16872918605804443, + "learning_rate": 0.0002934004745540812, + "loss": 1.0276, + "step": 4170 + }, + { + "epoch": 0.5, + "grad_norm": 0.1752139776945114, + "learning_rate": 0.00029337025324905616, + "loss": 0.9822, + "step": 4175 + }, + { + "epoch": 0.5, + "grad_norm": 0.18080003559589386, + "learning_rate": 0.0002933399644692287, + "loss": 1.0102, + "step": 4180 + }, + { + "epoch": 0.5, + "grad_norm": 0.22213223576545715, + "learning_rate": 0.00029330960822885385, + "loss": 0.9913, + "step": 4185 + }, + { + "epoch": 0.5, + "grad_norm": 0.18527017533779144, + "learning_rate": 0.0002932791845422182, + "loss": 0.9575, + "step": 4190 + }, + { + "epoch": 0.51, + "grad_norm": 0.18203973770141602, + "learning_rate": 0.00029324869342364014, + "loss": 0.9891, + "step": 4195 + }, + { + "epoch": 0.51, + "grad_norm": 0.17969951033592224, + "learning_rate": 0.00029321813488746983, + "loss": 0.994, + "step": 4200 + }, + { + "epoch": 0.51, + "grad_norm": 0.18661588430404663, + "learning_rate": 0.0002931875089480891, + "loss": 1.0039, + "step": 4205 + }, + { + "epoch": 0.51, + "grad_norm": 0.18751640617847443, + "learning_rate": 0.0002931568156199115, + "loss": 0.9442, + "step": 4210 + }, + { + "epoch": 0.51, + "grad_norm": 0.16617530584335327, + "learning_rate": 0.0002931260549173825, + "loss": 0.885, + "step": 4215 + }, + { + "epoch": 0.51, + "grad_norm": 0.1970120072364807, + "learning_rate": 0.00029309522685497886, + "loss": 1.0264, + "step": 4220 + }, + { + "epoch": 0.51, + "grad_norm": 0.1805301010608673, + "learning_rate": 0.00029306433144720947, + "loss": 1.0025, + "step": 4225 + }, + { + "epoch": 0.51, + "grad_norm": 0.1933399736881256, + "learning_rate": 0.0002930333687086147, + "loss": 0.9908, + "step": 4230 + }, + { + "epoch": 0.51, + "grad_norm": 0.18400885164737701, + "learning_rate": 0.0002930023386537666, + "loss": 0.988, + "step": 4235 + }, + { + "epoch": 0.51, + "grad_norm": 0.18429554998874664, + "learning_rate": 0.000292971241297269, + "loss": 0.9955, + "step": 4240 + }, + { + "epoch": 0.51, + "grad_norm": 0.17350837588310242, + "learning_rate": 0.0002929400766537573, + "loss": 0.9956, + "step": 4245 + }, + { + "epoch": 0.51, + "grad_norm": 0.17750461399555206, + "learning_rate": 0.0002929088447378986, + "loss": 0.9968, + "step": 4250 + }, + { + "epoch": 0.51, + "grad_norm": 0.16923023760318756, + "learning_rate": 0.0002928775455643917, + "loss": 0.9371, + "step": 4255 + }, + { + "epoch": 0.51, + "grad_norm": 0.17826791107654572, + "learning_rate": 0.0002928461791479671, + "loss": 0.999, + "step": 4260 + }, + { + "epoch": 0.51, + "grad_norm": 0.1948651373386383, + "learning_rate": 0.0002928147455033868, + "loss": 0.9618, + "step": 4265 + }, + { + "epoch": 0.51, + "grad_norm": 0.16941259801387787, + "learning_rate": 0.00029278324464544455, + "loss": 0.9693, + "step": 4270 + }, + { + "epoch": 0.52, + "grad_norm": 0.1716768741607666, + "learning_rate": 0.00029275167658896563, + "loss": 1.0408, + "step": 4275 + }, + { + "epoch": 0.52, + "grad_norm": 0.17600005865097046, + "learning_rate": 0.00029272004134880714, + "loss": 1.0234, + "step": 4280 + }, + { + "epoch": 0.52, + "grad_norm": 0.18008339405059814, + "learning_rate": 0.00029268833893985756, + "loss": 0.9356, + "step": 4285 + }, + { + "epoch": 0.52, + "grad_norm": 0.18551653623580933, + "learning_rate": 0.00029265656937703713, + "loss": 0.9183, + "step": 4290 + }, + { + "epoch": 0.52, + "grad_norm": 0.18553385138511658, + "learning_rate": 0.0002926247326752977, + "loss": 0.9736, + "step": 4295 + }, + { + "epoch": 0.52, + "grad_norm": 0.18531882762908936, + "learning_rate": 0.00029259282884962266, + "loss": 1.0085, + "step": 4300 + }, + { + "epoch": 0.52, + "grad_norm": 0.17965206503868103, + "learning_rate": 0.000292560857915027, + "loss": 0.9765, + "step": 4305 + }, + { + "epoch": 0.52, + "grad_norm": 0.1778474599123001, + "learning_rate": 0.0002925288198865573, + "loss": 0.9646, + "step": 4310 + }, + { + "epoch": 0.52, + "grad_norm": 0.19227425754070282, + "learning_rate": 0.0002924967147792917, + "loss": 0.996, + "step": 4315 + }, + { + "epoch": 0.52, + "grad_norm": 0.20739661157131195, + "learning_rate": 0.00029246454260833997, + "loss": 0.9635, + "step": 4320 + }, + { + "epoch": 0.52, + "grad_norm": 0.17460639774799347, + "learning_rate": 0.0002924323033888434, + "loss": 0.9606, + "step": 4325 + }, + { + "epoch": 0.52, + "grad_norm": 0.20777195692062378, + "learning_rate": 0.0002923999971359748, + "loss": 1.0319, + "step": 4330 + }, + { + "epoch": 0.52, + "grad_norm": 0.19790644943714142, + "learning_rate": 0.00029236762386493863, + "loss": 1.0417, + "step": 4335 + }, + { + "epoch": 0.52, + "grad_norm": 0.17253664135932922, + "learning_rate": 0.0002923351835909707, + "loss": 0.9815, + "step": 4340 + }, + { + "epoch": 0.52, + "grad_norm": 0.18922512233257294, + "learning_rate": 0.0002923026763293387, + "loss": 1.0032, + "step": 4345 + }, + { + "epoch": 0.52, + "grad_norm": 0.1988437920808792, + "learning_rate": 0.0002922701020953414, + "loss": 0.9955, + "step": 4350 + }, + { + "epoch": 0.52, + "grad_norm": 0.19901318848133087, + "learning_rate": 0.00029223746090430944, + "loss": 0.9678, + "step": 4355 + }, + { + "epoch": 0.53, + "grad_norm": 0.1846579760313034, + "learning_rate": 0.0002922047527716048, + "loss": 0.8918, + "step": 4360 + }, + { + "epoch": 0.53, + "grad_norm": 0.18826933205127716, + "learning_rate": 0.000292171977712621, + "loss": 0.9736, + "step": 4365 + }, + { + "epoch": 0.53, + "grad_norm": 0.1800205409526825, + "learning_rate": 0.00029213913574278324, + "loss": 0.9471, + "step": 4370 + }, + { + "epoch": 0.53, + "grad_norm": 0.184101402759552, + "learning_rate": 0.00029210622687754777, + "loss": 1.0363, + "step": 4375 + }, + { + "epoch": 0.53, + "grad_norm": 0.18093040585517883, + "learning_rate": 0.0002920732511324028, + "loss": 0.8811, + "step": 4380 + }, + { + "epoch": 0.53, + "grad_norm": 0.16744713485240936, + "learning_rate": 0.0002920402085228677, + "loss": 0.9148, + "step": 4385 + }, + { + "epoch": 0.53, + "grad_norm": 0.3018034100532532, + "learning_rate": 0.0002920070990644935, + "loss": 1.0029, + "step": 4390 + }, + { + "epoch": 0.53, + "grad_norm": 0.2019168734550476, + "learning_rate": 0.0002919739227728625, + "loss": 0.8603, + "step": 4395 + }, + { + "epoch": 0.53, + "grad_norm": 0.20707763731479645, + "learning_rate": 0.0002919406796635887, + "loss": 1.0115, + "step": 4400 + }, + { + "epoch": 0.53, + "grad_norm": 0.18676406145095825, + "learning_rate": 0.00029190736975231736, + "loss": 1.0022, + "step": 4405 + }, + { + "epoch": 0.53, + "grad_norm": 0.1945050209760666, + "learning_rate": 0.00029187399305472515, + "loss": 1.068, + "step": 4410 + }, + { + "epoch": 0.53, + "grad_norm": 0.17335373163223267, + "learning_rate": 0.0002918405495865203, + "loss": 0.9242, + "step": 4415 + }, + { + "epoch": 0.53, + "grad_norm": 0.17637088894844055, + "learning_rate": 0.0002918070393634425, + "loss": 0.9241, + "step": 4420 + }, + { + "epoch": 0.53, + "grad_norm": 0.18394945561885834, + "learning_rate": 0.00029177346240126273, + "loss": 1.0194, + "step": 4425 + }, + { + "epoch": 0.53, + "grad_norm": 0.21276423335075378, + "learning_rate": 0.0002917398187157834, + "loss": 1.0077, + "step": 4430 + }, + { + "epoch": 0.53, + "grad_norm": 0.19257494807243347, + "learning_rate": 0.0002917061083228383, + "loss": 0.982, + "step": 4435 + }, + { + "epoch": 0.53, + "grad_norm": 0.2055777907371521, + "learning_rate": 0.0002916723312382927, + "loss": 1.0397, + "step": 4440 + }, + { + "epoch": 0.54, + "grad_norm": 0.18082697689533234, + "learning_rate": 0.00029163848747804327, + "loss": 0.963, + "step": 4445 + }, + { + "epoch": 0.54, + "grad_norm": 0.18980878591537476, + "learning_rate": 0.00029160457705801796, + "loss": 0.9314, + "step": 4450 + }, + { + "epoch": 0.54, + "grad_norm": 0.1710338592529297, + "learning_rate": 0.0002915705999941761, + "loss": 1.0261, + "step": 4455 + }, + { + "epoch": 0.54, + "grad_norm": 0.17998263239860535, + "learning_rate": 0.0002915365563025085, + "loss": 0.9295, + "step": 4460 + }, + { + "epoch": 0.54, + "grad_norm": 0.19266332685947418, + "learning_rate": 0.00029150244599903725, + "loss": 0.8856, + "step": 4465 + }, + { + "epoch": 0.54, + "grad_norm": 0.1885053515434265, + "learning_rate": 0.0002914682690998157, + "loss": 0.9803, + "step": 4470 + }, + { + "epoch": 0.54, + "grad_norm": 0.19506719708442688, + "learning_rate": 0.00029143402562092875, + "loss": 0.9873, + "step": 4475 + }, + { + "epoch": 0.54, + "grad_norm": 0.20998205244541168, + "learning_rate": 0.0002913997155784924, + "loss": 0.9647, + "step": 4480 + }, + { + "epoch": 0.54, + "grad_norm": 0.21117228269577026, + "learning_rate": 0.00029136533898865423, + "loss": 0.9814, + "step": 4485 + }, + { + "epoch": 0.54, + "grad_norm": 0.18329034745693207, + "learning_rate": 0.0002913308958675929, + "loss": 0.9783, + "step": 4490 + }, + { + "epoch": 0.54, + "grad_norm": 0.18641537427902222, + "learning_rate": 0.0002912963862315185, + "loss": 0.8872, + "step": 4495 + }, + { + "epoch": 0.54, + "grad_norm": 0.19384218752384186, + "learning_rate": 0.0002912618100966725, + "loss": 0.9641, + "step": 4500 + }, + { + "epoch": 0.54, + "grad_norm": 0.19041642546653748, + "learning_rate": 0.00029122716747932747, + "loss": 0.9446, + "step": 4505 + }, + { + "epoch": 0.54, + "grad_norm": 0.20249037444591522, + "learning_rate": 0.0002911924583957874, + "loss": 0.9998, + "step": 4510 + }, + { + "epoch": 0.54, + "grad_norm": 0.1947818547487259, + "learning_rate": 0.00029115768286238757, + "loss": 0.9414, + "step": 4515 + }, + { + "epoch": 0.54, + "grad_norm": 0.1864546537399292, + "learning_rate": 0.00029112284089549445, + "loss": 1.0308, + "step": 4520 + }, + { + "epoch": 0.55, + "grad_norm": 0.18546593189239502, + "learning_rate": 0.0002910879325115059, + "loss": 0.9426, + "step": 4525 + }, + { + "epoch": 0.55, + "grad_norm": 0.19408635795116425, + "learning_rate": 0.0002910529577268509, + "loss": 0.9535, + "step": 4530 + }, + { + "epoch": 0.55, + "grad_norm": 0.19161821901798248, + "learning_rate": 0.0002910179165579898, + "loss": 0.9453, + "step": 4535 + }, + { + "epoch": 0.55, + "grad_norm": 0.1930609792470932, + "learning_rate": 0.00029098280902141406, + "loss": 1.051, + "step": 4540 + }, + { + "epoch": 0.55, + "grad_norm": 0.17416320741176605, + "learning_rate": 0.0002909476351336465, + "loss": 0.9667, + "step": 4545 + }, + { + "epoch": 0.55, + "grad_norm": 0.1923515945672989, + "learning_rate": 0.0002909123949112412, + "loss": 0.9336, + "step": 4550 + }, + { + "epoch": 0.55, + "grad_norm": 0.19930413365364075, + "learning_rate": 0.0002908770883707832, + "loss": 1.032, + "step": 4555 + }, + { + "epoch": 0.55, + "grad_norm": 0.19108958542346954, + "learning_rate": 0.00029084171552888914, + "loss": 0.9452, + "step": 4560 + }, + { + "epoch": 0.55, + "grad_norm": 0.20645657181739807, + "learning_rate": 0.00029080627640220647, + "loss": 0.9045, + "step": 4565 + }, + { + "epoch": 0.55, + "grad_norm": 0.21397635340690613, + "learning_rate": 0.0002907707710074141, + "loss": 0.8976, + "step": 4570 + }, + { + "epoch": 0.55, + "grad_norm": 0.1848032921552658, + "learning_rate": 0.000290735199361222, + "loss": 0.8218, + "step": 4575 + }, + { + "epoch": 0.55, + "grad_norm": 0.18126817047595978, + "learning_rate": 0.0002906995614803715, + "loss": 1.0663, + "step": 4580 + }, + { + "epoch": 0.55, + "grad_norm": 0.1907825469970703, + "learning_rate": 0.0002906638573816348, + "loss": 0.9277, + "step": 4585 + }, + { + "epoch": 0.55, + "grad_norm": 0.18289636075496674, + "learning_rate": 0.0002906280870818156, + "loss": 1.0149, + "step": 4590 + }, + { + "epoch": 0.55, + "grad_norm": 0.17690010368824005, + "learning_rate": 0.00029059225059774844, + "loss": 1.0116, + "step": 4595 + }, + { + "epoch": 0.55, + "grad_norm": 0.19581712782382965, + "learning_rate": 0.00029055634794629924, + "loss": 0.9966, + "step": 4600 + }, + { + "epoch": 0.55, + "grad_norm": 0.20098170638084412, + "learning_rate": 0.00029052037914436494, + "loss": 1.0375, + "step": 4605 + }, + { + "epoch": 0.56, + "grad_norm": 0.20016787946224213, + "learning_rate": 0.00029048434420887373, + "loss": 1.0045, + "step": 4610 + }, + { + "epoch": 0.56, + "grad_norm": 0.1856658011674881, + "learning_rate": 0.0002904482431567847, + "loss": 1.0191, + "step": 4615 + }, + { + "epoch": 0.56, + "grad_norm": 0.19540125131607056, + "learning_rate": 0.0002904120760050884, + "loss": 1.0104, + "step": 4620 + }, + { + "epoch": 0.56, + "grad_norm": 0.20216308534145355, + "learning_rate": 0.00029037584277080616, + "loss": 1.0659, + "step": 4625 + }, + { + "epoch": 0.56, + "grad_norm": 0.224759042263031, + "learning_rate": 0.00029033954347099057, + "loss": 0.9496, + "step": 4630 + }, + { + "epoch": 0.56, + "grad_norm": 0.16096115112304688, + "learning_rate": 0.0002903031781227253, + "loss": 0.9887, + "step": 4635 + }, + { + "epoch": 0.56, + "grad_norm": 0.20530791580677032, + "learning_rate": 0.00029026674674312503, + "loss": 0.9417, + "step": 4640 + }, + { + "epoch": 0.56, + "grad_norm": 0.17820000648498535, + "learning_rate": 0.0002902302493493357, + "loss": 0.9157, + "step": 4645 + }, + { + "epoch": 0.56, + "grad_norm": 0.20749807357788086, + "learning_rate": 0.00029019368595853407, + "loss": 0.958, + "step": 4650 + }, + { + "epoch": 0.56, + "grad_norm": 0.19266118109226227, + "learning_rate": 0.00029015705658792817, + "loss": 1.05, + "step": 4655 + }, + { + "epoch": 0.56, + "grad_norm": 0.2041333168745041, + "learning_rate": 0.00029012036125475695, + "loss": 0.9891, + "step": 4660 + }, + { + "epoch": 0.56, + "grad_norm": 0.19730497896671295, + "learning_rate": 0.00029008359997629045, + "loss": 1.0394, + "step": 4665 + }, + { + "epoch": 0.56, + "grad_norm": 0.17330877482891083, + "learning_rate": 0.00029004677276982986, + "loss": 1.0221, + "step": 4670 + }, + { + "epoch": 0.56, + "grad_norm": 0.1951434314250946, + "learning_rate": 0.0002900098796527071, + "loss": 1.0018, + "step": 4675 + }, + { + "epoch": 0.56, + "grad_norm": 0.21202173829078674, + "learning_rate": 0.00028997292064228544, + "loss": 0.9171, + "step": 4680 + }, + { + "epoch": 0.56, + "grad_norm": 0.19243790209293365, + "learning_rate": 0.00028993589575595894, + "loss": 0.9833, + "step": 4685 + }, + { + "epoch": 0.57, + "grad_norm": 0.1826474815607071, + "learning_rate": 0.00028989880501115276, + "loss": 0.875, + "step": 4690 + }, + { + "epoch": 0.57, + "grad_norm": 0.20149312913417816, + "learning_rate": 0.0002898616484253231, + "loss": 1.0055, + "step": 4695 + }, + { + "epoch": 0.57, + "grad_norm": 0.19697706401348114, + "learning_rate": 0.000289824426015957, + "loss": 0.9464, + "step": 4700 + }, + { + "epoch": 0.57, + "grad_norm": 0.19809427857398987, + "learning_rate": 0.00028978713780057256, + "loss": 0.9814, + "step": 4705 + }, + { + "epoch": 0.57, + "grad_norm": 0.206287682056427, + "learning_rate": 0.00028974978379671894, + "loss": 0.9652, + "step": 4710 + }, + { + "epoch": 0.57, + "grad_norm": 0.18428125977516174, + "learning_rate": 0.0002897123640219761, + "loss": 0.942, + "step": 4715 + }, + { + "epoch": 0.57, + "grad_norm": 0.16364052891731262, + "learning_rate": 0.000289674878493955, + "loss": 0.9741, + "step": 4720 + }, + { + "epoch": 0.57, + "grad_norm": 0.20780855417251587, + "learning_rate": 0.0002896373272302977, + "loss": 0.9654, + "step": 4725 + }, + { + "epoch": 0.57, + "grad_norm": 0.2168758362531662, + "learning_rate": 0.0002895997102486769, + "loss": 0.9247, + "step": 4730 + }, + { + "epoch": 0.57, + "grad_norm": 0.1811356246471405, + "learning_rate": 0.0002895620275667966, + "loss": 0.9142, + "step": 4735 + }, + { + "epoch": 0.57, + "grad_norm": 0.18936580419540405, + "learning_rate": 0.00028952427920239134, + "loss": 0.9091, + "step": 4740 + }, + { + "epoch": 0.57, + "grad_norm": 0.19724291563034058, + "learning_rate": 0.00028948646517322686, + "loss": 0.9266, + "step": 4745 + }, + { + "epoch": 0.57, + "grad_norm": 0.17332862317562103, + "learning_rate": 0.0002894485854970997, + "loss": 1.0734, + "step": 4750 + }, + { + "epoch": 0.57, + "grad_norm": 0.1730174571275711, + "learning_rate": 0.00028941064019183713, + "loss": 1.0088, + "step": 4755 + }, + { + "epoch": 0.57, + "grad_norm": 0.18203985691070557, + "learning_rate": 0.0002893726292752977, + "loss": 0.9595, + "step": 4760 + }, + { + "epoch": 0.57, + "grad_norm": 0.18378064036369324, + "learning_rate": 0.0002893345527653705, + "loss": 0.9354, + "step": 4765 + }, + { + "epoch": 0.57, + "grad_norm": 0.18141499161720276, + "learning_rate": 0.0002892964106799757, + "loss": 0.9606, + "step": 4770 + }, + { + "epoch": 0.58, + "grad_norm": 0.19755259156227112, + "learning_rate": 0.000289258203037064, + "loss": 1.054, + "step": 4775 + }, + { + "epoch": 0.58, + "grad_norm": 0.213453009724617, + "learning_rate": 0.0002892199298546174, + "loss": 0.8363, + "step": 4780 + }, + { + "epoch": 0.58, + "grad_norm": 0.18598608672618866, + "learning_rate": 0.00028918159115064846, + "loss": 0.9375, + "step": 4785 + }, + { + "epoch": 0.58, + "grad_norm": 0.19149407744407654, + "learning_rate": 0.0002891431869432006, + "loss": 0.97, + "step": 4790 + }, + { + "epoch": 0.58, + "grad_norm": 0.20365601778030396, + "learning_rate": 0.0002891047172503482, + "loss": 0.9405, + "step": 4795 + }, + { + "epoch": 0.58, + "grad_norm": 0.18206772208213806, + "learning_rate": 0.0002890661820901963, + "loss": 1.011, + "step": 4800 + }, + { + "epoch": 0.58, + "grad_norm": 0.18795382976531982, + "learning_rate": 0.00028902758148088094, + "loss": 0.854, + "step": 4805 + }, + { + "epoch": 0.58, + "grad_norm": 0.18891260027885437, + "learning_rate": 0.00028898891544056873, + "loss": 0.9468, + "step": 4810 + }, + { + "epoch": 0.58, + "grad_norm": 0.19970501959323883, + "learning_rate": 0.0002889501839874572, + "loss": 0.9918, + "step": 4815 + }, + { + "epoch": 0.58, + "grad_norm": 0.20287778973579407, + "learning_rate": 0.00028891138713977476, + "loss": 0.9039, + "step": 4820 + }, + { + "epoch": 0.58, + "grad_norm": 0.17449329793453217, + "learning_rate": 0.0002888725249157804, + "loss": 0.928, + "step": 4825 + }, + { + "epoch": 0.58, + "grad_norm": 0.22723489999771118, + "learning_rate": 0.000288833597333764, + "loss": 0.9622, + "step": 4830 + }, + { + "epoch": 0.58, + "grad_norm": 0.17067822813987732, + "learning_rate": 0.0002887946044120461, + "loss": 0.9349, + "step": 4835 + }, + { + "epoch": 0.58, + "grad_norm": 0.19400516152381897, + "learning_rate": 0.00028875554616897823, + "loss": 0.9223, + "step": 4840 + }, + { + "epoch": 0.58, + "grad_norm": 0.1980266571044922, + "learning_rate": 0.00028871642262294234, + "loss": 0.9518, + "step": 4845 + }, + { + "epoch": 0.58, + "grad_norm": 0.1934380978345871, + "learning_rate": 0.0002886772337923514, + "loss": 1.0257, + "step": 4850 + }, + { + "epoch": 0.58, + "grad_norm": 0.1748974621295929, + "learning_rate": 0.0002886379796956489, + "loss": 1.0209, + "step": 4855 + }, + { + "epoch": 0.59, + "grad_norm": 0.17561843991279602, + "learning_rate": 0.0002885986603513091, + "loss": 0.9646, + "step": 4860 + }, + { + "epoch": 0.59, + "grad_norm": 0.19227540493011475, + "learning_rate": 0.00028855927577783706, + "loss": 0.9638, + "step": 4865 + }, + { + "epoch": 0.59, + "grad_norm": 0.20389790832996368, + "learning_rate": 0.0002885198259937684, + "loss": 0.9399, + "step": 4870 + }, + { + "epoch": 0.59, + "grad_norm": 0.18054336309432983, + "learning_rate": 0.0002884803110176695, + "loss": 0.9318, + "step": 4875 + }, + { + "epoch": 0.59, + "grad_norm": 0.1733674854040146, + "learning_rate": 0.00028844073086813744, + "loss": 0.8768, + "step": 4880 + }, + { + "epoch": 0.59, + "grad_norm": 0.185361847281456, + "learning_rate": 0.00028840108556380006, + "loss": 0.9853, + "step": 4885 + }, + { + "epoch": 0.59, + "grad_norm": 0.1938917487859726, + "learning_rate": 0.00028836137512331555, + "loss": 0.9558, + "step": 4890 + }, + { + "epoch": 0.59, + "grad_norm": 0.18514370918273926, + "learning_rate": 0.00028832159956537306, + "loss": 0.9225, + "step": 4895 + }, + { + "epoch": 0.59, + "grad_norm": 0.1769241839647293, + "learning_rate": 0.0002882817589086924, + "loss": 1.0125, + "step": 4900 + }, + { + "epoch": 0.59, + "grad_norm": 0.18880169093608856, + "learning_rate": 0.0002882418531720237, + "loss": 0.9748, + "step": 4905 + }, + { + "epoch": 0.59, + "grad_norm": 0.20545773208141327, + "learning_rate": 0.0002882018823741481, + "loss": 0.972, + "step": 4910 + }, + { + "epoch": 0.59, + "grad_norm": 0.17919191718101501, + "learning_rate": 0.00028816184653387706, + "loss": 0.9201, + "step": 4915 + }, + { + "epoch": 0.59, + "grad_norm": 0.17469099164009094, + "learning_rate": 0.00028812174567005285, + "loss": 0.9619, + "step": 4920 + }, + { + "epoch": 0.59, + "grad_norm": 0.1765175461769104, + "learning_rate": 0.0002880815798015483, + "loss": 0.9707, + "step": 4925 + }, + { + "epoch": 0.59, + "grad_norm": 0.18801696598529816, + "learning_rate": 0.00028804134894726665, + "loss": 0.9369, + "step": 4930 + }, + { + "epoch": 0.59, + "grad_norm": 0.19199238717556, + "learning_rate": 0.00028800105312614196, + "loss": 0.8942, + "step": 4935 + }, + { + "epoch": 0.6, + "grad_norm": 0.17167691886425018, + "learning_rate": 0.00028796069235713893, + "loss": 0.8596, + "step": 4940 + }, + { + "epoch": 0.6, + "grad_norm": 0.18981756269931793, + "learning_rate": 0.00028792026665925245, + "loss": 1.0821, + "step": 4945 + }, + { + "epoch": 0.6, + "grad_norm": 0.18595005571842194, + "learning_rate": 0.0002878797760515083, + "loss": 1.0417, + "step": 4950 + }, + { + "epoch": 0.6, + "grad_norm": 0.20380659401416779, + "learning_rate": 0.0002878392205529627, + "loss": 0.9396, + "step": 4955 + }, + { + "epoch": 0.6, + "grad_norm": 0.21177223324775696, + "learning_rate": 0.0002877986001827024, + "loss": 0.9777, + "step": 4960 + }, + { + "epoch": 0.6, + "grad_norm": 0.18329915404319763, + "learning_rate": 0.00028775791495984474, + "loss": 1.068, + "step": 4965 + }, + { + "epoch": 0.6, + "grad_norm": 0.2002885490655899, + "learning_rate": 0.0002877171649035375, + "loss": 0.9144, + "step": 4970 + }, + { + "epoch": 0.6, + "grad_norm": 0.18435192108154297, + "learning_rate": 0.00028767635003295895, + "loss": 0.8893, + "step": 4975 + }, + { + "epoch": 0.6, + "grad_norm": 0.18662065267562866, + "learning_rate": 0.000287635470367318, + "loss": 0.9352, + "step": 4980 + }, + { + "epoch": 0.6, + "grad_norm": 0.19780193269252777, + "learning_rate": 0.000287594525925854, + "loss": 0.9593, + "step": 4985 + }, + { + "epoch": 0.6, + "grad_norm": 0.18069545924663544, + "learning_rate": 0.0002875535167278367, + "loss": 1.0398, + "step": 4990 + }, + { + "epoch": 0.6, + "grad_norm": 0.1925516277551651, + "learning_rate": 0.00028751244279256647, + "loss": 0.9382, + "step": 4995 + }, + { + "epoch": 0.6, + "grad_norm": 0.1789090633392334, + "learning_rate": 0.0002874713041393739, + "loss": 1.0408, + "step": 5000 + }, + { + "epoch": 0.6, + "grad_norm": 0.20351684093475342, + "learning_rate": 0.0002874301007876204, + "loss": 1.0124, + "step": 5005 + }, + { + "epoch": 0.6, + "grad_norm": 0.20231549441814423, + "learning_rate": 0.00028738883275669755, + "loss": 1.0305, + "step": 5010 + }, + { + "epoch": 0.6, + "grad_norm": 0.17243053019046783, + "learning_rate": 0.00028734750006602746, + "loss": 0.9991, + "step": 5015 + }, + { + "epoch": 0.6, + "grad_norm": 0.17361502349376678, + "learning_rate": 0.0002873061027350627, + "loss": 0.971, + "step": 5020 + }, + { + "epoch": 0.61, + "grad_norm": 0.1816028356552124, + "learning_rate": 0.00028726464078328615, + "loss": 0.9863, + "step": 5025 + }, + { + "epoch": 0.61, + "grad_norm": 0.18330328166484833, + "learning_rate": 0.00028722311423021125, + "loss": 1.0478, + "step": 5030 + }, + { + "epoch": 0.61, + "grad_norm": 0.20598195493221283, + "learning_rate": 0.00028718152309538175, + "loss": 0.9304, + "step": 5035 + }, + { + "epoch": 0.61, + "grad_norm": 0.19323958456516266, + "learning_rate": 0.00028713986739837183, + "loss": 0.9557, + "step": 5040 + }, + { + "epoch": 0.61, + "grad_norm": 0.17913362383842468, + "learning_rate": 0.0002870981471587861, + "loss": 0.8907, + "step": 5045 + }, + { + "epoch": 0.61, + "grad_norm": 0.1934191733598709, + "learning_rate": 0.0002870563623962593, + "loss": 0.9355, + "step": 5050 + }, + { + "epoch": 0.61, + "grad_norm": 0.1913587599992752, + "learning_rate": 0.00028701451313045695, + "loss": 0.9905, + "step": 5055 + }, + { + "epoch": 0.61, + "grad_norm": 0.19491787254810333, + "learning_rate": 0.0002869725993810746, + "loss": 0.9745, + "step": 5060 + }, + { + "epoch": 0.61, + "grad_norm": 0.20128677785396576, + "learning_rate": 0.00028693062116783816, + "loss": 0.9302, + "step": 5065 + }, + { + "epoch": 0.61, + "grad_norm": 0.18914251029491425, + "learning_rate": 0.00028688857851050416, + "loss": 0.891, + "step": 5070 + }, + { + "epoch": 0.61, + "grad_norm": 0.19719275832176208, + "learning_rate": 0.0002868464714288592, + "loss": 0.9716, + "step": 5075 + }, + { + "epoch": 0.61, + "grad_norm": 0.1894945651292801, + "learning_rate": 0.0002868042999427202, + "loss": 0.9554, + "step": 5080 + }, + { + "epoch": 0.61, + "grad_norm": 0.1891942322254181, + "learning_rate": 0.0002867620640719346, + "loss": 0.8918, + "step": 5085 + }, + { + "epoch": 0.61, + "grad_norm": 0.1876845359802246, + "learning_rate": 0.00028671976383637984, + "loss": 0.98, + "step": 5090 + }, + { + "epoch": 0.61, + "grad_norm": 0.17926909029483795, + "learning_rate": 0.00028667739925596395, + "loss": 0.8958, + "step": 5095 + }, + { + "epoch": 0.61, + "grad_norm": 0.203196182847023, + "learning_rate": 0.000286634970350625, + "loss": 0.9356, + "step": 5100 + }, + { + "epoch": 0.62, + "grad_norm": 0.17668934166431427, + "learning_rate": 0.00028659247714033154, + "loss": 0.9355, + "step": 5105 + }, + { + "epoch": 0.62, + "grad_norm": 0.1789340376853943, + "learning_rate": 0.00028654991964508224, + "loss": 1.0171, + "step": 5110 + }, + { + "epoch": 0.62, + "grad_norm": 0.17405730485916138, + "learning_rate": 0.00028650729788490606, + "loss": 0.9634, + "step": 5115 + }, + { + "epoch": 0.62, + "grad_norm": 0.1780971735715866, + "learning_rate": 0.0002864646118798622, + "loss": 0.9728, + "step": 5120 + }, + { + "epoch": 0.62, + "grad_norm": 0.2179042249917984, + "learning_rate": 0.0002864218616500402, + "loss": 1.0805, + "step": 5125 + }, + { + "epoch": 0.62, + "grad_norm": 0.20955954492092133, + "learning_rate": 0.00028637904721555966, + "loss": 0.9261, + "step": 5130 + }, + { + "epoch": 0.62, + "grad_norm": 0.18898724019527435, + "learning_rate": 0.00028633616859657045, + "loss": 1.0134, + "step": 5135 + }, + { + "epoch": 0.62, + "grad_norm": 0.20803610980510712, + "learning_rate": 0.0002862932258132527, + "loss": 0.9414, + "step": 5140 + }, + { + "epoch": 0.62, + "grad_norm": 0.21270735561847687, + "learning_rate": 0.00028625021888581685, + "loss": 0.9779, + "step": 5145 + }, + { + "epoch": 0.62, + "grad_norm": 0.20544709265232086, + "learning_rate": 0.0002862071478345031, + "loss": 0.9707, + "step": 5150 + }, + { + "epoch": 0.62, + "grad_norm": 0.19069305062294006, + "learning_rate": 0.00028616401267958237, + "loss": 0.9954, + "step": 5155 + }, + { + "epoch": 0.62, + "grad_norm": 0.19101087749004364, + "learning_rate": 0.00028612081344135546, + "loss": 0.9348, + "step": 5160 + }, + { + "epoch": 0.62, + "grad_norm": 0.17791791260242462, + "learning_rate": 0.0002860775501401532, + "loss": 0.9205, + "step": 5165 + }, + { + "epoch": 0.62, + "grad_norm": 0.21044310927391052, + "learning_rate": 0.00028603422279633694, + "loss": 0.9649, + "step": 5170 + }, + { + "epoch": 0.62, + "grad_norm": 0.1965063214302063, + "learning_rate": 0.0002859908314302978, + "loss": 0.9648, + "step": 5175 + }, + { + "epoch": 0.62, + "grad_norm": 0.19343961775302887, + "learning_rate": 0.00028594737606245726, + "loss": 0.932, + "step": 5180 + }, + { + "epoch": 0.62, + "grad_norm": 0.18944412469863892, + "learning_rate": 0.00028590385671326695, + "loss": 0.9144, + "step": 5185 + }, + { + "epoch": 0.63, + "grad_norm": 0.20036911964416504, + "learning_rate": 0.0002858602734032084, + "loss": 0.965, + "step": 5190 + }, + { + "epoch": 0.63, + "grad_norm": 0.21332001686096191, + "learning_rate": 0.00028581662615279345, + "loss": 0.9766, + "step": 5195 + }, + { + "epoch": 0.63, + "grad_norm": 0.17393194139003754, + "learning_rate": 0.00028577291498256384, + "loss": 0.9954, + "step": 5200 + }, + { + "epoch": 0.63, + "grad_norm": 0.1827279031276703, + "learning_rate": 0.0002857291399130916, + "loss": 0.9646, + "step": 5205 + }, + { + "epoch": 0.63, + "grad_norm": 0.190265491604805, + "learning_rate": 0.0002856853009649787, + "loss": 1.0151, + "step": 5210 + }, + { + "epoch": 0.63, + "grad_norm": 0.18640612065792084, + "learning_rate": 0.0002856413981588572, + "loss": 1.0085, + "step": 5215 + }, + { + "epoch": 0.63, + "grad_norm": 0.21478848159313202, + "learning_rate": 0.00028559743151538913, + "loss": 0.9588, + "step": 5220 + }, + { + "epoch": 0.63, + "grad_norm": 0.18051999807357788, + "learning_rate": 0.00028555340105526676, + "loss": 0.9699, + "step": 5225 + }, + { + "epoch": 0.63, + "grad_norm": 0.1969325840473175, + "learning_rate": 0.0002855093067992123, + "loss": 0.9939, + "step": 5230 + }, + { + "epoch": 0.63, + "grad_norm": 0.2040921300649643, + "learning_rate": 0.00028546514876797796, + "loss": 0.8854, + "step": 5235 + }, + { + "epoch": 0.63, + "grad_norm": 0.1841362863779068, + "learning_rate": 0.0002854209269823459, + "loss": 0.9255, + "step": 5240 + }, + { + "epoch": 0.63, + "grad_norm": 0.19539733231067657, + "learning_rate": 0.0002853766414631285, + "loss": 1.0226, + "step": 5245 + }, + { + "epoch": 0.63, + "grad_norm": 0.19817125797271729, + "learning_rate": 0.0002853322922311678, + "loss": 0.9626, + "step": 5250 + }, + { + "epoch": 0.63, + "grad_norm": 0.21229805052280426, + "learning_rate": 0.0002852878793073362, + "loss": 0.957, + "step": 5255 + }, + { + "epoch": 0.63, + "grad_norm": 0.19763095676898956, + "learning_rate": 0.0002852434027125358, + "loss": 0.8457, + "step": 5260 + }, + { + "epoch": 0.63, + "grad_norm": 0.19969575107097626, + "learning_rate": 0.00028519886246769884, + "loss": 1.0371, + "step": 5265 + }, + { + "epoch": 0.63, + "grad_norm": 0.1981430947780609, + "learning_rate": 0.0002851542585937873, + "loss": 0.9438, + "step": 5270 + }, + { + "epoch": 0.64, + "grad_norm": 0.20760881900787354, + "learning_rate": 0.0002851095911117934, + "loss": 1.0244, + "step": 5275 + }, + { + "epoch": 0.64, + "grad_norm": 0.21313069760799408, + "learning_rate": 0.00028506486004273903, + "loss": 1.0125, + "step": 5280 + }, + { + "epoch": 0.64, + "grad_norm": 0.18353518843650818, + "learning_rate": 0.00028502006540767616, + "loss": 0.9716, + "step": 5285 + }, + { + "epoch": 0.64, + "grad_norm": 0.1756833791732788, + "learning_rate": 0.0002849752072276867, + "loss": 1.0393, + "step": 5290 + }, + { + "epoch": 0.64, + "grad_norm": 0.20792143046855927, + "learning_rate": 0.00028493028552388223, + "loss": 1.0315, + "step": 5295 + }, + { + "epoch": 0.64, + "grad_norm": 0.2053552269935608, + "learning_rate": 0.00028488530031740454, + "loss": 1.0352, + "step": 5300 + }, + { + "epoch": 0.64, + "grad_norm": 0.1828060746192932, + "learning_rate": 0.00028484025162942516, + "loss": 0.8927, + "step": 5305 + }, + { + "epoch": 0.64, + "grad_norm": 0.19744126498699188, + "learning_rate": 0.0002847951394811454, + "loss": 0.9503, + "step": 5310 + }, + { + "epoch": 0.64, + "grad_norm": 0.22091755270957947, + "learning_rate": 0.0002847499638937966, + "loss": 0.9118, + "step": 5315 + }, + { + "epoch": 0.64, + "grad_norm": 0.19735994935035706, + "learning_rate": 0.0002847047248886399, + "loss": 0.9983, + "step": 5320 + }, + { + "epoch": 0.64, + "grad_norm": 0.17844171822071075, + "learning_rate": 0.00028465942248696624, + "loss": 0.9512, + "step": 5325 + }, + { + "epoch": 0.64, + "grad_norm": 0.20808811485767365, + "learning_rate": 0.00028461405671009645, + "loss": 0.9539, + "step": 5330 + }, + { + "epoch": 0.64, + "grad_norm": 0.18508221209049225, + "learning_rate": 0.00028456862757938117, + "loss": 0.9328, + "step": 5335 + }, + { + "epoch": 0.64, + "grad_norm": 0.1841544657945633, + "learning_rate": 0.0002845231351162009, + "loss": 0.9095, + "step": 5340 + }, + { + "epoch": 0.64, + "grad_norm": 0.1901453733444214, + "learning_rate": 0.0002844775793419659, + "loss": 0.8944, + "step": 5345 + }, + { + "epoch": 0.64, + "grad_norm": 0.2000284641981125, + "learning_rate": 0.00028443196027811617, + "loss": 0.9468, + "step": 5350 + }, + { + "epoch": 0.65, + "grad_norm": 0.2096180021762848, + "learning_rate": 0.0002843862779461216, + "loss": 0.9388, + "step": 5355 + }, + { + "epoch": 0.65, + "grad_norm": 0.18580293655395508, + "learning_rate": 0.00028434053236748175, + "loss": 0.9352, + "step": 5360 + }, + { + "epoch": 0.65, + "grad_norm": 0.21264111995697021, + "learning_rate": 0.00028429472356372606, + "loss": 1.0138, + "step": 5365 + }, + { + "epoch": 0.65, + "grad_norm": 0.19658392667770386, + "learning_rate": 0.00028424885155641373, + "loss": 0.9843, + "step": 5370 + }, + { + "epoch": 0.65, + "grad_norm": 0.19093391299247742, + "learning_rate": 0.00028420291636713354, + "loss": 0.9271, + "step": 5375 + }, + { + "epoch": 0.65, + "grad_norm": 0.21088851988315582, + "learning_rate": 0.00028415691801750417, + "loss": 1.0146, + "step": 5380 + }, + { + "epoch": 0.65, + "grad_norm": 0.17928850650787354, + "learning_rate": 0.000284110856529174, + "loss": 0.9973, + "step": 5385 + }, + { + "epoch": 0.65, + "grad_norm": 0.18797273933887482, + "learning_rate": 0.000284064731923821, + "loss": 1.0008, + "step": 5390 + }, + { + "epoch": 0.65, + "grad_norm": 0.19398821890354156, + "learning_rate": 0.00028401854422315306, + "loss": 0.8467, + "step": 5395 + }, + { + "epoch": 0.65, + "grad_norm": 0.20564605295658112, + "learning_rate": 0.0002839722934489076, + "loss": 0.9809, + "step": 5400 + }, + { + "epoch": 0.65, + "grad_norm": 0.2124805599451065, + "learning_rate": 0.0002839259796228517, + "loss": 0.9094, + "step": 5405 + }, + { + "epoch": 0.65, + "grad_norm": 0.16906094551086426, + "learning_rate": 0.0002838796027667823, + "loss": 0.9083, + "step": 5410 + }, + { + "epoch": 0.65, + "grad_norm": 0.21367835998535156, + "learning_rate": 0.0002838331629025258, + "loss": 0.9278, + "step": 5415 + }, + { + "epoch": 0.65, + "grad_norm": 0.20226390659809113, + "learning_rate": 0.00028378666005193846, + "loss": 0.9629, + "step": 5420 + }, + { + "epoch": 0.65, + "grad_norm": 0.21728989481925964, + "learning_rate": 0.0002837400942369059, + "loss": 0.952, + "step": 5425 + }, + { + "epoch": 0.65, + "grad_norm": 0.19252964854240417, + "learning_rate": 0.0002836934654793436, + "loss": 0.9497, + "step": 5430 + }, + { + "epoch": 0.65, + "grad_norm": 0.21155524253845215, + "learning_rate": 0.00028364677380119665, + "loss": 0.9298, + "step": 5435 + }, + { + "epoch": 0.66, + "grad_norm": 0.18080827593803406, + "learning_rate": 0.0002836000192244397, + "loss": 0.9502, + "step": 5440 + }, + { + "epoch": 0.66, + "grad_norm": 0.19508054852485657, + "learning_rate": 0.000283553201771077, + "loss": 0.9299, + "step": 5445 + }, + { + "epoch": 0.66, + "grad_norm": 0.19555960595607758, + "learning_rate": 0.00028350632146314234, + "loss": 0.8338, + "step": 5450 + }, + { + "epoch": 0.66, + "grad_norm": 0.19276316463947296, + "learning_rate": 0.00028345937832269924, + "loss": 1.0148, + "step": 5455 + }, + { + "epoch": 0.66, + "grad_norm": 0.19060495495796204, + "learning_rate": 0.0002834123723718406, + "loss": 0.9975, + "step": 5460 + }, + { + "epoch": 0.66, + "grad_norm": 0.18638461828231812, + "learning_rate": 0.00028336530363268903, + "loss": 1.1051, + "step": 5465 + }, + { + "epoch": 0.66, + "grad_norm": 0.21244901418685913, + "learning_rate": 0.00028331817212739666, + "loss": 0.9824, + "step": 5470 + }, + { + "epoch": 0.66, + "grad_norm": 0.1781817078590393, + "learning_rate": 0.0002832709778781451, + "loss": 0.9437, + "step": 5475 + }, + { + "epoch": 0.66, + "grad_norm": 0.21162748336791992, + "learning_rate": 0.00028322372090714565, + "loss": 0.8513, + "step": 5480 + }, + { + "epoch": 0.66, + "grad_norm": 0.20514048635959625, + "learning_rate": 0.00028317640123663886, + "loss": 0.9249, + "step": 5485 + }, + { + "epoch": 0.66, + "grad_norm": 0.1924484670162201, + "learning_rate": 0.000283129018888895, + "loss": 0.9966, + "step": 5490 + }, + { + "epoch": 0.66, + "grad_norm": 0.2287726253271103, + "learning_rate": 0.00028308157388621375, + "loss": 1.0219, + "step": 5495 + }, + { + "epoch": 0.66, + "grad_norm": 0.1756589561700821, + "learning_rate": 0.00028303406625092433, + "loss": 0.9488, + "step": 5500 + }, + { + "epoch": 0.66, + "grad_norm": 0.23016351461410522, + "learning_rate": 0.00028298649600538546, + "loss": 0.9064, + "step": 5505 + }, + { + "epoch": 0.66, + "grad_norm": 0.17148062586784363, + "learning_rate": 0.0002829388631719852, + "loss": 1.0173, + "step": 5510 + }, + { + "epoch": 0.66, + "grad_norm": 0.2095944881439209, + "learning_rate": 0.0002828911677731411, + "loss": 0.9834, + "step": 5515 + }, + { + "epoch": 0.67, + "grad_norm": 0.1759607195854187, + "learning_rate": 0.00028284340983130037, + "loss": 0.935, + "step": 5520 + }, + { + "epoch": 0.67, + "grad_norm": 0.2132364809513092, + "learning_rate": 0.0002827955893689393, + "loss": 0.9313, + "step": 5525 + }, + { + "epoch": 0.67, + "grad_norm": 0.18752391636371613, + "learning_rate": 0.00028274770640856394, + "loss": 0.8606, + "step": 5530 + }, + { + "epoch": 0.67, + "grad_norm": 0.1804865151643753, + "learning_rate": 0.00028269976097270946, + "loss": 1.0291, + "step": 5535 + }, + { + "epoch": 0.67, + "grad_norm": 0.17835399508476257, + "learning_rate": 0.0002826517530839407, + "loss": 0.9643, + "step": 5540 + }, + { + "epoch": 0.67, + "grad_norm": 0.21218432486057281, + "learning_rate": 0.0002826036827648517, + "loss": 0.9989, + "step": 5545 + }, + { + "epoch": 0.67, + "grad_norm": 0.20228761434555054, + "learning_rate": 0.0002825555500380659, + "loss": 0.9734, + "step": 5550 + }, + { + "epoch": 0.67, + "grad_norm": 0.19665905833244324, + "learning_rate": 0.0002825073549262363, + "loss": 0.9381, + "step": 5555 + }, + { + "epoch": 0.67, + "grad_norm": 0.20172518491744995, + "learning_rate": 0.000282459097452045, + "loss": 1.0319, + "step": 5560 + }, + { + "epoch": 0.67, + "grad_norm": 0.19320924580097198, + "learning_rate": 0.0002824107776382036, + "loss": 1.0349, + "step": 5565 + }, + { + "epoch": 0.67, + "grad_norm": 0.1959851086139679, + "learning_rate": 0.00028236239550745305, + "loss": 0.9762, + "step": 5570 + }, + { + "epoch": 0.67, + "grad_norm": 0.18430382013320923, + "learning_rate": 0.00028231395108256353, + "loss": 1.0082, + "step": 5575 + }, + { + "epoch": 0.67, + "grad_norm": 0.18709762394428253, + "learning_rate": 0.0002822654443863346, + "loss": 0.9993, + "step": 5580 + }, + { + "epoch": 0.67, + "grad_norm": 0.20324410498142242, + "learning_rate": 0.00028221687544159515, + "loss": 0.9235, + "step": 5585 + }, + { + "epoch": 0.67, + "grad_norm": 0.1890849769115448, + "learning_rate": 0.0002821682442712033, + "loss": 1.0188, + "step": 5590 + }, + { + "epoch": 0.67, + "grad_norm": 0.19836723804473877, + "learning_rate": 0.00028211955089804664, + "loss": 0.9934, + "step": 5595 + }, + { + "epoch": 0.67, + "grad_norm": 0.17568111419677734, + "learning_rate": 0.00028207079534504166, + "loss": 0.8919, + "step": 5600 + }, + { + "epoch": 0.68, + "grad_norm": 0.20651723444461823, + "learning_rate": 0.0002820219776351345, + "loss": 0.9338, + "step": 5605 + }, + { + "epoch": 0.68, + "grad_norm": 0.18715310096740723, + "learning_rate": 0.00028197309779130037, + "loss": 0.9869, + "step": 5610 + }, + { + "epoch": 0.68, + "grad_norm": 0.20862345397472382, + "learning_rate": 0.0002819241558365437, + "loss": 0.9206, + "step": 5615 + }, + { + "epoch": 0.68, + "grad_norm": 0.19458311796188354, + "learning_rate": 0.00028187515179389826, + "loss": 0.9267, + "step": 5620 + }, + { + "epoch": 0.68, + "grad_norm": 0.17458118498325348, + "learning_rate": 0.0002818260856864269, + "loss": 0.879, + "step": 5625 + }, + { + "epoch": 0.68, + "grad_norm": 0.19164584577083588, + "learning_rate": 0.0002817769575372218, + "loss": 0.9952, + "step": 5630 + }, + { + "epoch": 0.68, + "grad_norm": 0.1988450139760971, + "learning_rate": 0.00028172776736940436, + "loss": 0.8229, + "step": 5635 + }, + { + "epoch": 0.68, + "grad_norm": 0.2000226527452469, + "learning_rate": 0.000281678515206125, + "loss": 0.9074, + "step": 5640 + }, + { + "epoch": 0.68, + "grad_norm": 0.21437396109104156, + "learning_rate": 0.0002816292010705635, + "loss": 0.9317, + "step": 5645 + }, + { + "epoch": 0.68, + "grad_norm": 0.18313203752040863, + "learning_rate": 0.0002815798249859287, + "loss": 0.9046, + "step": 5650 + }, + { + "epoch": 0.68, + "grad_norm": 0.17462490499019623, + "learning_rate": 0.00028153038697545867, + "loss": 1.0031, + "step": 5655 + }, + { + "epoch": 0.68, + "grad_norm": 0.2010510116815567, + "learning_rate": 0.0002814808870624205, + "loss": 0.9259, + "step": 5660 + }, + { + "epoch": 0.68, + "grad_norm": 0.21494421362876892, + "learning_rate": 0.00028143132527011055, + "loss": 0.961, + "step": 5665 + }, + { + "epoch": 0.68, + "grad_norm": 0.20886385440826416, + "learning_rate": 0.00028138170162185424, + "loss": 0.863, + "step": 5670 + }, + { + "epoch": 0.68, + "grad_norm": 0.204929918050766, + "learning_rate": 0.00028133201614100604, + "loss": 0.948, + "step": 5675 + }, + { + "epoch": 0.68, + "grad_norm": 0.21892932057380676, + "learning_rate": 0.0002812822688509497, + "loss": 0.9707, + "step": 5680 + }, + { + "epoch": 0.68, + "grad_norm": 0.2091946005821228, + "learning_rate": 0.00028123245977509784, + "loss": 0.9417, + "step": 5685 + }, + { + "epoch": 0.69, + "grad_norm": 0.21841882169246674, + "learning_rate": 0.0002811825889368924, + "loss": 1.0073, + "step": 5690 + }, + { + "epoch": 0.69, + "grad_norm": 0.17423883080482483, + "learning_rate": 0.0002811326563598041, + "loss": 0.9885, + "step": 5695 + }, + { + "epoch": 0.69, + "grad_norm": 0.22584623098373413, + "learning_rate": 0.0002810826620673329, + "loss": 0.9202, + "step": 5700 + }, + { + "epoch": 0.69, + "grad_norm": 0.2022750824689865, + "learning_rate": 0.00028103260608300785, + "loss": 1.1009, + "step": 5705 + }, + { + "epoch": 0.69, + "grad_norm": 0.20764531195163727, + "learning_rate": 0.00028098248843038694, + "loss": 0.9689, + "step": 5710 + }, + { + "epoch": 0.69, + "grad_norm": 0.2145623415708542, + "learning_rate": 0.00028093230913305716, + "loss": 0.9474, + "step": 5715 + }, + { + "epoch": 0.69, + "grad_norm": 0.1971713900566101, + "learning_rate": 0.00028088206821463456, + "loss": 0.8979, + "step": 5720 + }, + { + "epoch": 0.69, + "grad_norm": 0.18897688388824463, + "learning_rate": 0.00028083176569876426, + "loss": 0.9777, + "step": 5725 + }, + { + "epoch": 0.69, + "grad_norm": 0.20765312016010284, + "learning_rate": 0.00028078140160912017, + "loss": 0.8788, + "step": 5730 + }, + { + "epoch": 0.69, + "grad_norm": 0.2097761631011963, + "learning_rate": 0.00028073097596940537, + "loss": 0.9324, + "step": 5735 + }, + { + "epoch": 0.69, + "grad_norm": 0.19260716438293457, + "learning_rate": 0.0002806804888033519, + "loss": 0.8419, + "step": 5740 + }, + { + "epoch": 0.69, + "grad_norm": 0.209737628698349, + "learning_rate": 0.0002806299401347206, + "loss": 0.8578, + "step": 5745 + }, + { + "epoch": 0.69, + "grad_norm": 0.1828380972146988, + "learning_rate": 0.00028057932998730136, + "loss": 0.9546, + "step": 5750 + }, + { + "epoch": 0.69, + "grad_norm": 0.19403524696826935, + "learning_rate": 0.00028052865838491304, + "loss": 1.0046, + "step": 5755 + }, + { + "epoch": 0.69, + "grad_norm": 0.21876457333564758, + "learning_rate": 0.00028047792535140336, + "loss": 0.9358, + "step": 5760 + }, + { + "epoch": 0.69, + "grad_norm": 0.182986319065094, + "learning_rate": 0.00028042713091064894, + "loss": 0.9362, + "step": 5765 + }, + { + "epoch": 0.7, + "grad_norm": 0.1893165558576584, + "learning_rate": 0.00028037627508655546, + "loss": 0.9647, + "step": 5770 + }, + { + "epoch": 0.7, + "grad_norm": 0.20949877798557281, + "learning_rate": 0.0002803253579030572, + "loss": 0.9254, + "step": 5775 + }, + { + "epoch": 0.7, + "grad_norm": 0.20711813867092133, + "learning_rate": 0.0002802743793841175, + "loss": 0.9423, + "step": 5780 + }, + { + "epoch": 0.7, + "grad_norm": 0.20353513956069946, + "learning_rate": 0.00028022333955372863, + "loss": 0.9021, + "step": 5785 + }, + { + "epoch": 0.7, + "grad_norm": 0.17357411980628967, + "learning_rate": 0.0002801722384359116, + "loss": 1.0085, + "step": 5790 + }, + { + "epoch": 0.7, + "grad_norm": 0.20761722326278687, + "learning_rate": 0.0002801210760547162, + "loss": 0.9346, + "step": 5795 + }, + { + "epoch": 0.7, + "grad_norm": 0.2074555903673172, + "learning_rate": 0.00028006985243422133, + "loss": 0.9919, + "step": 5800 + }, + { + "epoch": 0.7, + "grad_norm": 0.17981496453285217, + "learning_rate": 0.00028001856759853435, + "loss": 0.9016, + "step": 5805 + }, + { + "epoch": 0.7, + "grad_norm": 0.19092728197574615, + "learning_rate": 0.0002799672215717917, + "loss": 0.9511, + "step": 5810 + }, + { + "epoch": 0.7, + "grad_norm": 0.20729589462280273, + "learning_rate": 0.0002799158143781585, + "loss": 0.9397, + "step": 5815 + }, + { + "epoch": 0.7, + "grad_norm": 0.19325435161590576, + "learning_rate": 0.0002798643460418286, + "loss": 1.0048, + "step": 5820 + }, + { + "epoch": 0.7, + "grad_norm": 0.2112487405538559, + "learning_rate": 0.0002798128165870249, + "loss": 1.0018, + "step": 5825 + }, + { + "epoch": 0.7, + "grad_norm": 0.20866331458091736, + "learning_rate": 0.0002797612260379987, + "loss": 1.0327, + "step": 5830 + }, + { + "epoch": 0.7, + "grad_norm": 0.2057882696390152, + "learning_rate": 0.0002797095744190303, + "loss": 0.9205, + "step": 5835 + }, + { + "epoch": 0.7, + "grad_norm": 0.22236908972263336, + "learning_rate": 0.00027965786175442866, + "loss": 0.9787, + "step": 5840 + }, + { + "epoch": 0.7, + "grad_norm": 0.22123856842517853, + "learning_rate": 0.0002796060880685315, + "loss": 0.9991, + "step": 5845 + }, + { + "epoch": 0.7, + "grad_norm": 0.19182252883911133, + "learning_rate": 0.0002795542533857052, + "loss": 0.9982, + "step": 5850 + }, + { + "epoch": 0.71, + "grad_norm": 0.1859193593263626, + "learning_rate": 0.00027950235773034485, + "loss": 0.8689, + "step": 5855 + }, + { + "epoch": 0.71, + "grad_norm": 0.20256547629833221, + "learning_rate": 0.0002794504011268744, + "loss": 0.9262, + "step": 5860 + }, + { + "epoch": 0.71, + "grad_norm": 0.19035175442695618, + "learning_rate": 0.0002793983835997462, + "loss": 0.8788, + "step": 5865 + }, + { + "epoch": 0.71, + "grad_norm": 0.22139105200767517, + "learning_rate": 0.00027934630517344145, + "loss": 0.9814, + "step": 5870 + }, + { + "epoch": 0.71, + "grad_norm": 0.19183175265789032, + "learning_rate": 0.00027929416587247014, + "loss": 0.8917, + "step": 5875 + }, + { + "epoch": 0.71, + "grad_norm": 0.2111898511648178, + "learning_rate": 0.00027924196572137055, + "loss": 0.9915, + "step": 5880 + }, + { + "epoch": 0.71, + "grad_norm": 0.21190297603607178, + "learning_rate": 0.00027918970474470996, + "loss": 1.0738, + "step": 5885 + }, + { + "epoch": 0.71, + "grad_norm": 0.18288253247737885, + "learning_rate": 0.00027913738296708404, + "loss": 0.9588, + "step": 5890 + }, + { + "epoch": 0.71, + "grad_norm": 0.2102237343788147, + "learning_rate": 0.0002790850004131171, + "loss": 0.8978, + "step": 5895 + }, + { + "epoch": 0.71, + "grad_norm": 0.22349348664283752, + "learning_rate": 0.0002790325571074623, + "loss": 0.8554, + "step": 5900 + }, + { + "epoch": 0.71, + "grad_norm": 0.19603189826011658, + "learning_rate": 0.000278980053074801, + "loss": 0.8539, + "step": 5905 + }, + { + "epoch": 0.71, + "grad_norm": 0.19490835070610046, + "learning_rate": 0.0002789274883398435, + "loss": 0.9656, + "step": 5910 + }, + { + "epoch": 0.71, + "grad_norm": 0.19723361730575562, + "learning_rate": 0.0002788748629273284, + "loss": 0.8647, + "step": 5915 + }, + { + "epoch": 0.71, + "grad_norm": 0.224490687251091, + "learning_rate": 0.00027882217686202304, + "loss": 1.0071, + "step": 5920 + }, + { + "epoch": 0.71, + "grad_norm": 0.19954900443553925, + "learning_rate": 0.0002787694301687231, + "loss": 1.0931, + "step": 5925 + }, + { + "epoch": 0.71, + "grad_norm": 0.20417670905590057, + "learning_rate": 0.00027871662287225316, + "loss": 0.9013, + "step": 5930 + }, + { + "epoch": 0.72, + "grad_norm": 0.20717184245586395, + "learning_rate": 0.00027866375499746587, + "loss": 1.0245, + "step": 5935 + }, + { + "epoch": 0.72, + "grad_norm": 0.1946130394935608, + "learning_rate": 0.0002786108265692427, + "loss": 1.0055, + "step": 5940 + }, + { + "epoch": 0.72, + "grad_norm": 0.19675332307815552, + "learning_rate": 0.0002785578376124935, + "loss": 0.9285, + "step": 5945 + }, + { + "epoch": 0.72, + "grad_norm": 0.20337584614753723, + "learning_rate": 0.00027850478815215666, + "loss": 0.9615, + "step": 5950 + }, + { + "epoch": 0.72, + "grad_norm": 0.2144574224948883, + "learning_rate": 0.000278451678213199, + "loss": 0.9641, + "step": 5955 + }, + { + "epoch": 0.72, + "grad_norm": 0.19476327300071716, + "learning_rate": 0.0002783985078206158, + "loss": 0.8523, + "step": 5960 + }, + { + "epoch": 0.72, + "grad_norm": 0.21178047358989716, + "learning_rate": 0.00027834527699943087, + "loss": 0.9104, + "step": 5965 + }, + { + "epoch": 0.72, + "grad_norm": 0.20542141795158386, + "learning_rate": 0.00027829198577469636, + "loss": 0.9744, + "step": 5970 + }, + { + "epoch": 0.72, + "grad_norm": 0.18979620933532715, + "learning_rate": 0.0002782386341714929, + "loss": 0.9429, + "step": 5975 + }, + { + "epoch": 0.72, + "grad_norm": 0.18054763972759247, + "learning_rate": 0.00027818522221492953, + "loss": 0.9203, + "step": 5980 + }, + { + "epoch": 0.72, + "grad_norm": 0.1968124806880951, + "learning_rate": 0.0002781317499301437, + "loss": 0.974, + "step": 5985 + }, + { + "epoch": 0.72, + "grad_norm": 0.2041236311197281, + "learning_rate": 0.0002780782173423012, + "loss": 0.9027, + "step": 5990 + }, + { + "epoch": 0.72, + "grad_norm": 0.19817684590816498, + "learning_rate": 0.0002780246244765963, + "loss": 0.9473, + "step": 5995 + }, + { + "epoch": 0.72, + "grad_norm": 0.19076892733573914, + "learning_rate": 0.0002779709713582515, + "loss": 0.9915, + "step": 6000 + }, + { + "epoch": 0.72, + "grad_norm": 0.1970764398574829, + "learning_rate": 0.00027791725801251785, + "loss": 0.9481, + "step": 6005 + }, + { + "epoch": 0.72, + "grad_norm": 0.20971329510211945, + "learning_rate": 0.00027786348446467453, + "loss": 0.996, + "step": 6010 + }, + { + "epoch": 0.72, + "grad_norm": 0.18908850848674774, + "learning_rate": 0.00027780965074002925, + "loss": 0.9819, + "step": 6015 + }, + { + "epoch": 0.73, + "grad_norm": 0.1883561760187149, + "learning_rate": 0.0002777557568639179, + "loss": 0.915, + "step": 6020 + }, + { + "epoch": 0.73, + "grad_norm": 0.20280209183692932, + "learning_rate": 0.0002777018028617047, + "loss": 0.8848, + "step": 6025 + }, + { + "epoch": 0.73, + "grad_norm": 0.23292230069637299, + "learning_rate": 0.00027764778875878225, + "loss": 1.0372, + "step": 6030 + }, + { + "epoch": 0.73, + "grad_norm": 0.20740561187267303, + "learning_rate": 0.0002775937145805714, + "loss": 0.8555, + "step": 6035 + }, + { + "epoch": 0.73, + "grad_norm": 0.22304105758666992, + "learning_rate": 0.0002775395803525211, + "loss": 1.0331, + "step": 6040 + }, + { + "epoch": 0.73, + "grad_norm": 0.24742744863033295, + "learning_rate": 0.0002774853861001089, + "loss": 0.9875, + "step": 6045 + }, + { + "epoch": 0.73, + "grad_norm": 0.19389699399471283, + "learning_rate": 0.0002774311318488404, + "loss": 0.9054, + "step": 6050 + }, + { + "epoch": 0.73, + "grad_norm": 0.20694305002689362, + "learning_rate": 0.00027737681762424936, + "loss": 0.9755, + "step": 6055 + }, + { + "epoch": 0.73, + "grad_norm": 0.21031732857227325, + "learning_rate": 0.0002773224434518978, + "loss": 0.9667, + "step": 6060 + }, + { + "epoch": 0.73, + "grad_norm": 0.22336505353450775, + "learning_rate": 0.0002772680093573762, + "loss": 0.9697, + "step": 6065 + }, + { + "epoch": 0.73, + "grad_norm": 0.2182660698890686, + "learning_rate": 0.0002772135153663029, + "loss": 1.0385, + "step": 6070 + }, + { + "epoch": 0.73, + "grad_norm": 0.1784467101097107, + "learning_rate": 0.00027715896150432473, + "loss": 0.868, + "step": 6075 + }, + { + "epoch": 0.73, + "grad_norm": 0.2188597470521927, + "learning_rate": 0.0002771043477971164, + "loss": 0.8924, + "step": 6080 + }, + { + "epoch": 0.73, + "grad_norm": 0.2050686776638031, + "learning_rate": 0.000277049674270381, + "loss": 0.9832, + "step": 6085 + }, + { + "epoch": 0.73, + "grad_norm": 0.1878337264060974, + "learning_rate": 0.00027699494094984964, + "loss": 0.935, + "step": 6090 + }, + { + "epoch": 0.73, + "grad_norm": 0.20712505280971527, + "learning_rate": 0.00027694014786128175, + "loss": 0.9392, + "step": 6095 + }, + { + "epoch": 0.73, + "grad_norm": 0.2205507606267929, + "learning_rate": 0.00027688529503046473, + "loss": 0.9543, + "step": 6100 + }, + { + "epoch": 0.74, + "grad_norm": 0.21329660713672638, + "learning_rate": 0.0002768303824832141, + "loss": 0.9957, + "step": 6105 + }, + { + "epoch": 0.74, + "grad_norm": 0.22187063097953796, + "learning_rate": 0.00027677541024537363, + "loss": 0.8959, + "step": 6110 + }, + { + "epoch": 0.74, + "grad_norm": 0.2496599406003952, + "learning_rate": 0.00027672037834281497, + "loss": 0.9699, + "step": 6115 + }, + { + "epoch": 0.74, + "grad_norm": 0.20457853376865387, + "learning_rate": 0.000276665286801438, + "loss": 0.9096, + "step": 6120 + }, + { + "epoch": 0.74, + "grad_norm": 0.2040635645389557, + "learning_rate": 0.00027661013564717063, + "loss": 0.9936, + "step": 6125 + }, + { + "epoch": 0.74, + "grad_norm": 0.203216552734375, + "learning_rate": 0.00027655492490596885, + "loss": 0.9246, + "step": 6130 + }, + { + "epoch": 0.74, + "grad_norm": 0.18687255680561066, + "learning_rate": 0.0002764996546038167, + "loss": 0.8891, + "step": 6135 + }, + { + "epoch": 0.74, + "grad_norm": 0.2031632959842682, + "learning_rate": 0.00027644432476672614, + "loss": 1.0533, + "step": 6140 + }, + { + "epoch": 0.74, + "grad_norm": 0.19905006885528564, + "learning_rate": 0.00027638893542073726, + "loss": 0.9701, + "step": 6145 + }, + { + "epoch": 0.74, + "grad_norm": 0.21555280685424805, + "learning_rate": 0.0002763334865919181, + "loss": 0.8389, + "step": 6150 + }, + { + "epoch": 0.74, + "grad_norm": 0.2201685756444931, + "learning_rate": 0.00027627797830636475, + "loss": 0.9749, + "step": 6155 + }, + { + "epoch": 0.74, + "grad_norm": 0.20311476290225983, + "learning_rate": 0.00027622241059020123, + "loss": 0.914, + "step": 6160 + }, + { + "epoch": 0.74, + "grad_norm": 0.2248125523328781, + "learning_rate": 0.0002761667834695796, + "loss": 0.9121, + "step": 6165 + }, + { + "epoch": 0.74, + "grad_norm": 0.19576215744018555, + "learning_rate": 0.00027611109697067975, + "loss": 0.8951, + "step": 6170 + }, + { + "epoch": 0.74, + "grad_norm": 0.22087323665618896, + "learning_rate": 0.00027605535111970974, + "loss": 0.8982, + "step": 6175 + }, + { + "epoch": 0.74, + "grad_norm": 0.19735217094421387, + "learning_rate": 0.0002759995459429053, + "loss": 1.0688, + "step": 6180 + }, + { + "epoch": 0.75, + "grad_norm": 0.20120544731616974, + "learning_rate": 0.00027594368146653013, + "loss": 0.8408, + "step": 6185 + }, + { + "epoch": 0.75, + "grad_norm": 0.18868596851825714, + "learning_rate": 0.0002758877577168761, + "loss": 0.9014, + "step": 6190 + }, + { + "epoch": 0.75, + "grad_norm": 0.19567087292671204, + "learning_rate": 0.00027583177472026264, + "loss": 0.9612, + "step": 6195 + }, + { + "epoch": 0.75, + "grad_norm": 0.19370317459106445, + "learning_rate": 0.00027577573250303725, + "loss": 0.9728, + "step": 6200 + }, + { + "epoch": 0.75, + "grad_norm": 0.20244130492210388, + "learning_rate": 0.00027571963109157533, + "loss": 1.0169, + "step": 6205 + }, + { + "epoch": 0.75, + "grad_norm": 0.19868247210979462, + "learning_rate": 0.0002756634705122799, + "loss": 0.9771, + "step": 6210 + }, + { + "epoch": 0.75, + "grad_norm": 0.20510122179985046, + "learning_rate": 0.00027560725079158214, + "loss": 0.958, + "step": 6215 + }, + { + "epoch": 0.75, + "grad_norm": 0.21019263565540314, + "learning_rate": 0.00027555097195594086, + "loss": 0.9748, + "step": 6220 + }, + { + "epoch": 0.75, + "grad_norm": 0.21073760092258453, + "learning_rate": 0.0002754946340318428, + "loss": 0.9534, + "step": 6225 + }, + { + "epoch": 0.75, + "grad_norm": 0.23775875568389893, + "learning_rate": 0.0002754382370458024, + "loss": 0.9429, + "step": 6230 + }, + { + "epoch": 0.75, + "grad_norm": 0.19734768569469452, + "learning_rate": 0.00027538178102436194, + "loss": 0.9563, + "step": 6235 + }, + { + "epoch": 0.75, + "grad_norm": 0.20335164666175842, + "learning_rate": 0.00027532526599409154, + "loss": 0.9426, + "step": 6240 + }, + { + "epoch": 0.75, + "grad_norm": 0.20909333229064941, + "learning_rate": 0.000275268691981589, + "loss": 0.9798, + "step": 6245 + }, + { + "epoch": 0.75, + "grad_norm": 0.21021656692028046, + "learning_rate": 0.00027521205901348, + "loss": 0.9096, + "step": 6250 + }, + { + "epoch": 0.75, + "grad_norm": 0.17861585319042206, + "learning_rate": 0.0002751553671164179, + "loss": 0.9817, + "step": 6255 + }, + { + "epoch": 0.75, + "grad_norm": 0.2392309159040451, + "learning_rate": 0.00027509861631708373, + "loss": 0.9609, + "step": 6260 + }, + { + "epoch": 0.75, + "grad_norm": 0.2181014120578766, + "learning_rate": 0.0002750418066421863, + "loss": 0.9862, + "step": 6265 + }, + { + "epoch": 0.76, + "grad_norm": 0.21585321426391602, + "learning_rate": 0.0002749849381184622, + "loss": 0.9432, + "step": 6270 + }, + { + "epoch": 0.76, + "grad_norm": 0.203776016831398, + "learning_rate": 0.00027492801077267563, + "loss": 0.9256, + "step": 6275 + }, + { + "epoch": 0.76, + "grad_norm": 0.19271011650562286, + "learning_rate": 0.00027487102463161835, + "loss": 0.9535, + "step": 6280 + }, + { + "epoch": 0.76, + "grad_norm": 0.20827655494213104, + "learning_rate": 0.00027481397972211013, + "loss": 1.0035, + "step": 6285 + }, + { + "epoch": 0.76, + "grad_norm": 0.2051791101694107, + "learning_rate": 0.0002747568760709981, + "loss": 0.9953, + "step": 6290 + }, + { + "epoch": 0.76, + "grad_norm": 0.2057846039533615, + "learning_rate": 0.0002746997137051571, + "loss": 0.9733, + "step": 6295 + }, + { + "epoch": 0.76, + "grad_norm": 0.1999838501214981, + "learning_rate": 0.00027464249265148966, + "loss": 0.9024, + "step": 6300 + }, + { + "epoch": 0.76, + "grad_norm": 0.22202569246292114, + "learning_rate": 0.000274585212936926, + "loss": 1.0046, + "step": 6305 + }, + { + "epoch": 0.76, + "grad_norm": 0.20919722318649292, + "learning_rate": 0.00027452787458842376, + "loss": 0.9343, + "step": 6310 + }, + { + "epoch": 0.76, + "grad_norm": 0.19470633566379547, + "learning_rate": 0.0002744704776329683, + "loss": 0.9979, + "step": 6315 + }, + { + "epoch": 0.76, + "grad_norm": 0.21001891791820526, + "learning_rate": 0.0002744130220975725, + "loss": 0.9753, + "step": 6320 + }, + { + "epoch": 0.76, + "grad_norm": 0.21184568107128143, + "learning_rate": 0.0002743555080092769, + "loss": 1.0369, + "step": 6325 + }, + { + "epoch": 0.76, + "grad_norm": 0.18605372309684753, + "learning_rate": 0.00027429793539514953, + "loss": 0.9481, + "step": 6330 + }, + { + "epoch": 0.76, + "grad_norm": 0.23986585438251495, + "learning_rate": 0.0002742403042822859, + "loss": 0.9951, + "step": 6335 + }, + { + "epoch": 0.76, + "grad_norm": 0.20543424785137177, + "learning_rate": 0.00027418261469780924, + "loss": 0.9394, + "step": 6340 + }, + { + "epoch": 0.76, + "grad_norm": 0.2040044069290161, + "learning_rate": 0.00027412486666887007, + "loss": 0.9354, + "step": 6345 + }, + { + "epoch": 0.77, + "grad_norm": 0.22892433404922485, + "learning_rate": 0.0002740670602226466, + "loss": 0.9778, + "step": 6350 + }, + { + "epoch": 0.77, + "grad_norm": 0.19521504640579224, + "learning_rate": 0.00027400919538634444, + "loss": 0.958, + "step": 6355 + }, + { + "epoch": 0.77, + "grad_norm": 0.23373307287693024, + "learning_rate": 0.00027395127218719675, + "loss": 0.9722, + "step": 6360 + }, + { + "epoch": 0.77, + "grad_norm": 0.1768098771572113, + "learning_rate": 0.0002738932906524641, + "loss": 0.9762, + "step": 6365 + }, + { + "epoch": 0.77, + "grad_norm": 0.22005042433738708, + "learning_rate": 0.00027383525080943447, + "loss": 0.8488, + "step": 6370 + }, + { + "epoch": 0.77, + "grad_norm": 0.1887035220861435, + "learning_rate": 0.00027377715268542334, + "loss": 0.9401, + "step": 6375 + }, + { + "epoch": 0.77, + "grad_norm": 0.192814439535141, + "learning_rate": 0.0002737189963077737, + "loss": 0.8912, + "step": 6380 + }, + { + "epoch": 0.77, + "grad_norm": 0.2182081937789917, + "learning_rate": 0.00027366078170385573, + "loss": 0.9403, + "step": 6385 + }, + { + "epoch": 0.77, + "grad_norm": 0.1897241324186325, + "learning_rate": 0.0002736025089010673, + "loss": 0.9351, + "step": 6390 + }, + { + "epoch": 0.77, + "grad_norm": 0.21122263371944427, + "learning_rate": 0.0002735441779268335, + "loss": 1.0048, + "step": 6395 + }, + { + "epoch": 0.77, + "grad_norm": 0.19820435345172882, + "learning_rate": 0.00027348578880860677, + "loss": 0.9342, + "step": 6400 + }, + { + "epoch": 0.77, + "grad_norm": 0.1979910135269165, + "learning_rate": 0.0002734273415738669, + "loss": 0.9044, + "step": 6405 + }, + { + "epoch": 0.77, + "grad_norm": 0.19765061140060425, + "learning_rate": 0.0002733688362501213, + "loss": 1.0196, + "step": 6410 + }, + { + "epoch": 0.77, + "grad_norm": 0.19544093310832977, + "learning_rate": 0.0002733102728649044, + "loss": 0.8445, + "step": 6415 + }, + { + "epoch": 0.77, + "grad_norm": 0.20427776873111725, + "learning_rate": 0.00027325165144577804, + "loss": 0.924, + "step": 6420 + }, + { + "epoch": 0.77, + "grad_norm": 0.26921671628952026, + "learning_rate": 0.0002731929720203315, + "loss": 0.9489, + "step": 6425 + }, + { + "epoch": 0.77, + "grad_norm": 0.21001920104026794, + "learning_rate": 0.00027313423461618116, + "loss": 0.9385, + "step": 6430 + }, + { + "epoch": 0.78, + "grad_norm": 0.21902385354042053, + "learning_rate": 0.0002730754392609708, + "loss": 0.9673, + "step": 6435 + }, + { + "epoch": 0.78, + "grad_norm": 0.22075380384922028, + "learning_rate": 0.0002730165859823716, + "loss": 0.8973, + "step": 6440 + }, + { + "epoch": 0.78, + "grad_norm": 0.22786179184913635, + "learning_rate": 0.0002729576748080818, + "loss": 0.9234, + "step": 6445 + }, + { + "epoch": 0.78, + "grad_norm": 0.20489779114723206, + "learning_rate": 0.00027289870576582695, + "loss": 0.92, + "step": 6450 + }, + { + "epoch": 0.78, + "grad_norm": 0.19824951887130737, + "learning_rate": 0.0002728396788833598, + "loss": 0.9119, + "step": 6455 + }, + { + "epoch": 0.78, + "grad_norm": 0.23278149962425232, + "learning_rate": 0.0002727805941884603, + "loss": 1.0518, + "step": 6460 + }, + { + "epoch": 0.78, + "grad_norm": 0.22010761499404907, + "learning_rate": 0.00027272145170893585, + "loss": 0.9255, + "step": 6465 + }, + { + "epoch": 0.78, + "grad_norm": 0.22987917065620422, + "learning_rate": 0.00027266225147262073, + "loss": 0.9481, + "step": 6470 + }, + { + "epoch": 0.78, + "grad_norm": 0.19295156002044678, + "learning_rate": 0.00027260299350737656, + "loss": 0.9497, + "step": 6475 + }, + { + "epoch": 0.78, + "grad_norm": 0.18979798257350922, + "learning_rate": 0.0002725436778410922, + "loss": 0.8827, + "step": 6480 + }, + { + "epoch": 0.78, + "grad_norm": 0.21442236006259918, + "learning_rate": 0.00027248430450168345, + "loss": 0.8832, + "step": 6485 + }, + { + "epoch": 0.78, + "grad_norm": 0.2078474760055542, + "learning_rate": 0.0002724248735170934, + "loss": 0.9101, + "step": 6490 + }, + { + "epoch": 0.78, + "grad_norm": 0.1883726716041565, + "learning_rate": 0.00027236538491529235, + "loss": 0.8445, + "step": 6495 + }, + { + "epoch": 0.78, + "grad_norm": 0.1775909662246704, + "learning_rate": 0.0002723058387242775, + "loss": 0.9911, + "step": 6500 + }, + { + "epoch": 0.78, + "grad_norm": 0.2114265412092209, + "learning_rate": 0.0002722462349720733, + "loss": 1.0032, + "step": 6505 + }, + { + "epoch": 0.78, + "grad_norm": 0.18201524019241333, + "learning_rate": 0.0002721865736867312, + "loss": 1.0234, + "step": 6510 + }, + { + "epoch": 0.78, + "grad_norm": 0.2337150126695633, + "learning_rate": 0.00027212685489632986, + "loss": 0.9353, + "step": 6515 + }, + { + "epoch": 0.79, + "grad_norm": 0.19889463484287262, + "learning_rate": 0.0002720670786289749, + "loss": 0.8353, + "step": 6520 + }, + { + "epoch": 0.79, + "grad_norm": 0.19570806622505188, + "learning_rate": 0.000272007244912799, + "loss": 0.9103, + "step": 6525 + }, + { + "epoch": 0.79, + "grad_norm": 0.216067835688591, + "learning_rate": 0.0002719473537759619, + "loss": 0.9829, + "step": 6530 + }, + { + "epoch": 0.79, + "grad_norm": 0.23183125257492065, + "learning_rate": 0.0002718874052466504, + "loss": 0.9251, + "step": 6535 + }, + { + "epoch": 0.79, + "grad_norm": 0.22221823036670685, + "learning_rate": 0.00027182739935307826, + "loss": 0.9561, + "step": 6540 + }, + { + "epoch": 0.79, + "grad_norm": 0.22014914453029633, + "learning_rate": 0.00027176733612348616, + "loss": 0.9561, + "step": 6545 + }, + { + "epoch": 0.79, + "grad_norm": 0.20240789651870728, + "learning_rate": 0.0002717072155861419, + "loss": 0.9529, + "step": 6550 + }, + { + "epoch": 0.79, + "grad_norm": 0.181975319981575, + "learning_rate": 0.0002716470377693403, + "loss": 0.8618, + "step": 6555 + }, + { + "epoch": 0.79, + "grad_norm": 0.18764451146125793, + "learning_rate": 0.0002715868027014029, + "loss": 1.0196, + "step": 6560 + }, + { + "epoch": 0.79, + "grad_norm": 0.20951347053050995, + "learning_rate": 0.0002715265104106784, + "loss": 0.952, + "step": 6565 + }, + { + "epoch": 0.79, + "grad_norm": 0.2056897133588791, + "learning_rate": 0.0002714661609255423, + "loss": 0.9513, + "step": 6570 + }, + { + "epoch": 0.79, + "grad_norm": 0.22014079988002777, + "learning_rate": 0.0002714057542743971, + "loss": 0.9351, + "step": 6575 + }, + { + "epoch": 0.79, + "grad_norm": 0.20651625096797943, + "learning_rate": 0.00027134529048567223, + "loss": 0.9362, + "step": 6580 + }, + { + "epoch": 0.79, + "grad_norm": 0.2232450395822525, + "learning_rate": 0.00027128476958782386, + "loss": 1.0102, + "step": 6585 + }, + { + "epoch": 0.79, + "grad_norm": 0.2110331654548645, + "learning_rate": 0.00027122419160933515, + "loss": 0.9414, + "step": 6590 + }, + { + "epoch": 0.79, + "grad_norm": 0.20717830955982208, + "learning_rate": 0.0002711635565787162, + "loss": 0.9147, + "step": 6595 + }, + { + "epoch": 0.8, + "grad_norm": 0.20119911432266235, + "learning_rate": 0.00027110286452450375, + "loss": 0.892, + "step": 6600 + }, + { + "epoch": 0.8, + "grad_norm": 0.22192524373531342, + "learning_rate": 0.0002710421154752616, + "loss": 0.9916, + "step": 6605 + }, + { + "epoch": 0.8, + "grad_norm": 0.19518253207206726, + "learning_rate": 0.0002709813094595802, + "loss": 0.8616, + "step": 6610 + }, + { + "epoch": 0.8, + "grad_norm": 0.21804095804691315, + "learning_rate": 0.0002709204465060769, + "loss": 0.939, + "step": 6615 + }, + { + "epoch": 0.8, + "grad_norm": 0.23485125601291656, + "learning_rate": 0.00027085952664339586, + "loss": 0.9235, + "step": 6620 + }, + { + "epoch": 0.8, + "grad_norm": 0.21770937740802765, + "learning_rate": 0.00027079854990020793, + "loss": 0.9558, + "step": 6625 + }, + { + "epoch": 0.8, + "grad_norm": 0.19482004642486572, + "learning_rate": 0.00027073751630521083, + "loss": 0.9604, + "step": 6630 + }, + { + "epoch": 0.8, + "grad_norm": 0.1984790414571762, + "learning_rate": 0.000270676425887129, + "loss": 0.9706, + "step": 6635 + }, + { + "epoch": 0.8, + "grad_norm": 0.1953192949295044, + "learning_rate": 0.0002706152786747136, + "loss": 1.0016, + "step": 6640 + }, + { + "epoch": 0.8, + "grad_norm": 0.19475625455379486, + "learning_rate": 0.00027055407469674255, + "loss": 0.9146, + "step": 6645 + }, + { + "epoch": 0.8, + "grad_norm": 0.2099728286266327, + "learning_rate": 0.00027049281398202046, + "loss": 0.9263, + "step": 6650 + }, + { + "epoch": 0.8, + "grad_norm": 0.2410629391670227, + "learning_rate": 0.00027043149655937864, + "loss": 0.9945, + "step": 6655 + }, + { + "epoch": 0.8, + "grad_norm": 0.21162976324558258, + "learning_rate": 0.0002703701224576752, + "loss": 0.8995, + "step": 6660 + }, + { + "epoch": 0.8, + "grad_norm": 0.20428724586963654, + "learning_rate": 0.0002703086917057947, + "loss": 0.899, + "step": 6665 + }, + { + "epoch": 0.8, + "grad_norm": 0.22366644442081451, + "learning_rate": 0.0002702472043326486, + "loss": 1.0311, + "step": 6670 + }, + { + "epoch": 0.8, + "grad_norm": 0.20753750205039978, + "learning_rate": 0.00027018566036717483, + "loss": 0.9162, + "step": 6675 + }, + { + "epoch": 0.8, + "grad_norm": 0.20095977187156677, + "learning_rate": 0.00027012405983833806, + "loss": 0.9609, + "step": 6680 + }, + { + "epoch": 0.81, + "grad_norm": 0.1888018697500229, + "learning_rate": 0.00027006240277512955, + "loss": 0.9741, + "step": 6685 + }, + { + "epoch": 0.81, + "grad_norm": 0.21836860477924347, + "learning_rate": 0.0002700006892065671, + "loss": 0.9016, + "step": 6690 + }, + { + "epoch": 0.81, + "grad_norm": 0.23613397777080536, + "learning_rate": 0.0002699389191616952, + "loss": 0.8804, + "step": 6695 + }, + { + "epoch": 0.81, + "grad_norm": 0.2188320904970169, + "learning_rate": 0.00026987709266958497, + "loss": 0.8731, + "step": 6700 + }, + { + "epoch": 0.81, + "grad_norm": 0.21378405392169952, + "learning_rate": 0.0002698152097593339, + "loss": 1.0018, + "step": 6705 + }, + { + "epoch": 0.81, + "grad_norm": 0.2068474143743515, + "learning_rate": 0.0002697532704600662, + "loss": 0.8768, + "step": 6710 + }, + { + "epoch": 0.81, + "grad_norm": 0.20965330302715302, + "learning_rate": 0.0002696912748009325, + "loss": 1.071, + "step": 6715 + }, + { + "epoch": 0.81, + "grad_norm": 0.2051534354686737, + "learning_rate": 0.00026962922281111, + "loss": 0.8599, + "step": 6720 + }, + { + "epoch": 0.81, + "grad_norm": 0.20214852690696716, + "learning_rate": 0.0002695671145198026, + "loss": 0.974, + "step": 6725 + }, + { + "epoch": 0.81, + "grad_norm": 0.23140518367290497, + "learning_rate": 0.00026950494995624035, + "loss": 0.8391, + "step": 6730 + }, + { + "epoch": 0.81, + "grad_norm": 0.22693967819213867, + "learning_rate": 0.00026944272914968, + "loss": 0.9452, + "step": 6735 + }, + { + "epoch": 0.81, + "grad_norm": 0.19972123205661774, + "learning_rate": 0.00026938045212940477, + "loss": 0.8612, + "step": 6740 + }, + { + "epoch": 0.81, + "grad_norm": 0.1956896334886551, + "learning_rate": 0.00026931811892472423, + "loss": 0.9701, + "step": 6745 + }, + { + "epoch": 0.81, + "grad_norm": 0.21115869283676147, + "learning_rate": 0.00026925572956497455, + "loss": 0.8717, + "step": 6750 + }, + { + "epoch": 0.81, + "grad_norm": 0.22253437340259552, + "learning_rate": 0.00026919328407951814, + "loss": 0.9054, + "step": 6755 + }, + { + "epoch": 0.81, + "grad_norm": 0.2643227279186249, + "learning_rate": 0.0002691307824977439, + "loss": 0.961, + "step": 6760 + }, + { + "epoch": 0.82, + "grad_norm": 0.20802360773086548, + "learning_rate": 0.0002690682248490673, + "loss": 0.8992, + "step": 6765 + }, + { + "epoch": 0.82, + "grad_norm": 0.25810569524765015, + "learning_rate": 0.00026900561116292995, + "loss": 0.9011, + "step": 6770 + }, + { + "epoch": 0.82, + "grad_norm": 0.20976845920085907, + "learning_rate": 0.0002689429414687999, + "loss": 0.9485, + "step": 6775 + }, + { + "epoch": 0.82, + "grad_norm": 0.17168466746807098, + "learning_rate": 0.0002688802157961716, + "loss": 1.0081, + "step": 6780 + }, + { + "epoch": 0.82, + "grad_norm": 0.21908418834209442, + "learning_rate": 0.00026881743417456585, + "loss": 0.9562, + "step": 6785 + }, + { + "epoch": 0.82, + "grad_norm": 0.2043706625699997, + "learning_rate": 0.0002687545966335298, + "loss": 1.0096, + "step": 6790 + }, + { + "epoch": 0.82, + "grad_norm": 0.20396995544433594, + "learning_rate": 0.00026869170320263685, + "loss": 1.0249, + "step": 6795 + }, + { + "epoch": 0.82, + "grad_norm": 0.2096068263053894, + "learning_rate": 0.00026862875391148676, + "loss": 1.0383, + "step": 6800 + }, + { + "epoch": 0.82, + "grad_norm": 0.23566322028636932, + "learning_rate": 0.0002685657487897055, + "loss": 0.9589, + "step": 6805 + }, + { + "epoch": 0.82, + "grad_norm": 0.20193132758140564, + "learning_rate": 0.0002685026878669455, + "loss": 0.9232, + "step": 6810 + }, + { + "epoch": 0.82, + "grad_norm": 0.21133491396903992, + "learning_rate": 0.0002684395711728851, + "loss": 0.8744, + "step": 6815 + }, + { + "epoch": 0.82, + "grad_norm": 0.2161945253610611, + "learning_rate": 0.00026837639873722934, + "loss": 0.9788, + "step": 6820 + }, + { + "epoch": 0.82, + "grad_norm": 0.21006715297698975, + "learning_rate": 0.0002683131705897092, + "loss": 0.9007, + "step": 6825 + }, + { + "epoch": 0.82, + "grad_norm": 0.19389329850673676, + "learning_rate": 0.0002682498867600819, + "loss": 0.9501, + "step": 6830 + }, + { + "epoch": 0.82, + "grad_norm": 0.2149161845445633, + "learning_rate": 0.00026818654727813086, + "loss": 0.9366, + "step": 6835 + }, + { + "epoch": 0.82, + "grad_norm": 0.19821734726428986, + "learning_rate": 0.0002681231521736659, + "loss": 0.9437, + "step": 6840 + }, + { + "epoch": 0.82, + "grad_norm": 0.21618692576885223, + "learning_rate": 0.00026805970147652277, + "loss": 0.8672, + "step": 6845 + }, + { + "epoch": 0.83, + "grad_norm": 0.21498163044452667, + "learning_rate": 0.00026799619521656346, + "loss": 1.0109, + "step": 6850 + }, + { + "epoch": 0.83, + "grad_norm": 0.2292798012495041, + "learning_rate": 0.00026793263342367616, + "loss": 0.9201, + "step": 6855 + }, + { + "epoch": 0.83, + "grad_norm": 0.19892308115959167, + "learning_rate": 0.0002678690161277752, + "loss": 0.9206, + "step": 6860 + }, + { + "epoch": 0.83, + "grad_norm": 0.18660472333431244, + "learning_rate": 0.00026780534335880084, + "loss": 0.9114, + "step": 6865 + }, + { + "epoch": 0.83, + "grad_norm": 0.2231675237417221, + "learning_rate": 0.00026774161514671975, + "loss": 0.9933, + "step": 6870 + }, + { + "epoch": 0.83, + "grad_norm": 0.2067699432373047, + "learning_rate": 0.0002676778315215245, + "loss": 1.0153, + "step": 6875 + }, + { + "epoch": 0.83, + "grad_norm": 0.19282564520835876, + "learning_rate": 0.00026761399251323375, + "loss": 0.8656, + "step": 6880 + }, + { + "epoch": 0.83, + "grad_norm": 0.21129785478115082, + "learning_rate": 0.0002675500981518923, + "loss": 0.9499, + "step": 6885 + }, + { + "epoch": 0.83, + "grad_norm": 0.19059066474437714, + "learning_rate": 0.0002674861484675709, + "loss": 1.0097, + "step": 6890 + }, + { + "epoch": 0.83, + "grad_norm": 0.23170576989650726, + "learning_rate": 0.0002674221434903665, + "loss": 0.8877, + "step": 6895 + }, + { + "epoch": 0.83, + "grad_norm": 0.21638576686382294, + "learning_rate": 0.0002673580832504019, + "loss": 0.987, + "step": 6900 + }, + { + "epoch": 0.83, + "grad_norm": 0.22118517756462097, + "learning_rate": 0.00026729396777782597, + "loss": 0.9849, + "step": 6905 + }, + { + "epoch": 0.83, + "grad_norm": 0.20184585452079773, + "learning_rate": 0.0002672297971028136, + "loss": 0.9106, + "step": 6910 + }, + { + "epoch": 0.83, + "grad_norm": 0.21392621099948883, + "learning_rate": 0.0002671655712555656, + "loss": 1.0239, + "step": 6915 + }, + { + "epoch": 0.83, + "grad_norm": 0.2100532501935959, + "learning_rate": 0.0002671012902663089, + "loss": 0.994, + "step": 6920 + }, + { + "epoch": 0.83, + "grad_norm": 0.21326220035552979, + "learning_rate": 0.0002670369541652961, + "loss": 0.9117, + "step": 6925 + }, + { + "epoch": 0.83, + "grad_norm": 0.2225876897573471, + "learning_rate": 0.000266972562982806, + "loss": 0.9071, + "step": 6930 + }, + { + "epoch": 0.84, + "grad_norm": 0.18916994333267212, + "learning_rate": 0.00026690811674914323, + "loss": 0.9641, + "step": 6935 + }, + { + "epoch": 0.84, + "grad_norm": 0.2092379480600357, + "learning_rate": 0.0002668436154946383, + "loss": 1.061, + "step": 6940 + }, + { + "epoch": 0.84, + "grad_norm": 0.18153078854084015, + "learning_rate": 0.0002667790592496477, + "loss": 1.0148, + "step": 6945 + }, + { + "epoch": 0.84, + "grad_norm": 0.20708273351192474, + "learning_rate": 0.00026671444804455375, + "loss": 0.9417, + "step": 6950 + }, + { + "epoch": 0.84, + "grad_norm": 0.2154036909341812, + "learning_rate": 0.0002666497819097645, + "loss": 0.8497, + "step": 6955 + }, + { + "epoch": 0.84, + "grad_norm": 0.22335532307624817, + "learning_rate": 0.0002665850608757141, + "loss": 0.884, + "step": 6960 + }, + { + "epoch": 0.84, + "grad_norm": 0.2135249823331833, + "learning_rate": 0.0002665202849728624, + "loss": 0.9287, + "step": 6965 + }, + { + "epoch": 0.84, + "grad_norm": 0.2231944501399994, + "learning_rate": 0.000266455454231695, + "loss": 0.9385, + "step": 6970 + }, + { + "epoch": 0.84, + "grad_norm": 0.19477687776088715, + "learning_rate": 0.0002663905686827235, + "loss": 0.9468, + "step": 6975 + }, + { + "epoch": 0.84, + "grad_norm": 0.21901415288448334, + "learning_rate": 0.0002663256283564852, + "loss": 0.8921, + "step": 6980 + }, + { + "epoch": 0.84, + "grad_norm": 0.21255704760551453, + "learning_rate": 0.00026626063328354316, + "loss": 0.9014, + "step": 6985 + }, + { + "epoch": 0.84, + "grad_norm": 0.20495054125785828, + "learning_rate": 0.0002661955834944861, + "loss": 1.0034, + "step": 6990 + }, + { + "epoch": 0.84, + "grad_norm": 0.1916796863079071, + "learning_rate": 0.0002661304790199288, + "loss": 1.0317, + "step": 6995 + }, + { + "epoch": 0.84, + "grad_norm": 0.21294309198856354, + "learning_rate": 0.0002660653198905115, + "loss": 0.9128, + "step": 7000 + }, + { + "epoch": 0.84, + "grad_norm": 0.22985853254795074, + "learning_rate": 0.00026600010613690023, + "loss": 0.9521, + "step": 7005 + }, + { + "epoch": 0.84, + "grad_norm": 0.24661943316459656, + "learning_rate": 0.00026593483778978677, + "loss": 0.9456, + "step": 7010 + }, + { + "epoch": 0.85, + "grad_norm": 0.21790087223052979, + "learning_rate": 0.0002658695148798886, + "loss": 0.9558, + "step": 7015 + }, + { + "epoch": 0.85, + "grad_norm": 0.18873614072799683, + "learning_rate": 0.00026580413743794874, + "loss": 0.914, + "step": 7020 + }, + { + "epoch": 0.85, + "grad_norm": 0.21589027345180511, + "learning_rate": 0.0002657387054947361, + "loss": 0.9285, + "step": 7025 + }, + { + "epoch": 0.85, + "grad_norm": 0.1877526193857193, + "learning_rate": 0.0002656732190810451, + "loss": 0.9537, + "step": 7030 + }, + { + "epoch": 0.85, + "grad_norm": 0.22506104409694672, + "learning_rate": 0.0002656076782276958, + "loss": 0.8938, + "step": 7035 + }, + { + "epoch": 0.85, + "grad_norm": 0.23874376714229584, + "learning_rate": 0.000265542082965534, + "loss": 0.8486, + "step": 7040 + }, + { + "epoch": 0.85, + "grad_norm": 0.20064063370227814, + "learning_rate": 0.00026547643332543077, + "loss": 0.98, + "step": 7045 + }, + { + "epoch": 0.85, + "grad_norm": 0.22124479711055756, + "learning_rate": 0.0002654107293382833, + "loss": 0.9002, + "step": 7050 + }, + { + "epoch": 0.85, + "grad_norm": 0.1762978434562683, + "learning_rate": 0.00026534497103501383, + "loss": 0.9397, + "step": 7055 + }, + { + "epoch": 0.85, + "grad_norm": 0.21579968929290771, + "learning_rate": 0.0002652791584465706, + "loss": 0.9606, + "step": 7060 + }, + { + "epoch": 0.85, + "grad_norm": 0.2093055099248886, + "learning_rate": 0.000265213291603927, + "loss": 0.9967, + "step": 7065 + }, + { + "epoch": 0.85, + "grad_norm": 0.2238216996192932, + "learning_rate": 0.00026514737053808234, + "loss": 0.9985, + "step": 7070 + }, + { + "epoch": 0.85, + "grad_norm": 0.20095250010490417, + "learning_rate": 0.0002650813952800611, + "loss": 0.8892, + "step": 7075 + }, + { + "epoch": 0.85, + "grad_norm": 0.2064996361732483, + "learning_rate": 0.00026501536586091357, + "loss": 0.9211, + "step": 7080 + }, + { + "epoch": 0.85, + "grad_norm": 0.20481903851032257, + "learning_rate": 0.0002649492823117153, + "loss": 0.8601, + "step": 7085 + }, + { + "epoch": 0.85, + "grad_norm": 0.19760817289352417, + "learning_rate": 0.0002648831446635674, + "loss": 0.9275, + "step": 7090 + }, + { + "epoch": 0.85, + "grad_norm": 0.2292260080575943, + "learning_rate": 0.0002648169529475965, + "loss": 1.0424, + "step": 7095 + }, + { + "epoch": 0.86, + "grad_norm": 0.2114565074443817, + "learning_rate": 0.0002647507071949546, + "loss": 0.874, + "step": 7100 + }, + { + "epoch": 0.86, + "grad_norm": 0.19804421067237854, + "learning_rate": 0.00026468440743681915, + "loss": 0.9876, + "step": 7105 + }, + { + "epoch": 0.86, + "grad_norm": 0.21388956904411316, + "learning_rate": 0.000264618053704393, + "loss": 0.8863, + "step": 7110 + }, + { + "epoch": 0.86, + "grad_norm": 0.19273947179317474, + "learning_rate": 0.0002645516460289044, + "loss": 1.0307, + "step": 7115 + }, + { + "epoch": 0.86, + "grad_norm": 0.22840675711631775, + "learning_rate": 0.000264485184441607, + "loss": 0.8876, + "step": 7120 + }, + { + "epoch": 0.86, + "grad_norm": 0.22079254686832428, + "learning_rate": 0.00026441866897378, + "loss": 0.9526, + "step": 7125 + }, + { + "epoch": 0.86, + "grad_norm": 0.1948045939207077, + "learning_rate": 0.00026435209965672756, + "loss": 0.9624, + "step": 7130 + }, + { + "epoch": 0.86, + "grad_norm": 0.19133198261260986, + "learning_rate": 0.0002642854765217795, + "loss": 0.9241, + "step": 7135 + }, + { + "epoch": 0.86, + "grad_norm": 0.2186049222946167, + "learning_rate": 0.00026421879960029096, + "loss": 0.9452, + "step": 7140 + }, + { + "epoch": 0.86, + "grad_norm": 0.19075119495391846, + "learning_rate": 0.00026415206892364216, + "loss": 0.9007, + "step": 7145 + }, + { + "epoch": 0.86, + "grad_norm": 0.20891107618808746, + "learning_rate": 0.00026408528452323885, + "loss": 0.9266, + "step": 7150 + }, + { + "epoch": 0.86, + "grad_norm": 0.20901614427566528, + "learning_rate": 0.000264018446430512, + "loss": 0.9023, + "step": 7155 + }, + { + "epoch": 0.86, + "grad_norm": 0.20765335857868195, + "learning_rate": 0.0002639515546769179, + "loss": 0.9053, + "step": 7160 + }, + { + "epoch": 0.86, + "grad_norm": 0.21316955983638763, + "learning_rate": 0.0002638846092939379, + "loss": 0.8916, + "step": 7165 + }, + { + "epoch": 0.86, + "grad_norm": 0.20992538332939148, + "learning_rate": 0.00026381761031307873, + "loss": 0.968, + "step": 7170 + }, + { + "epoch": 0.86, + "grad_norm": 0.2142067402601242, + "learning_rate": 0.0002637505577658725, + "loss": 0.9669, + "step": 7175 + }, + { + "epoch": 0.87, + "grad_norm": 0.2190820276737213, + "learning_rate": 0.0002636834516838761, + "loss": 0.9586, + "step": 7180 + }, + { + "epoch": 0.87, + "grad_norm": 0.18383167684078217, + "learning_rate": 0.0002636162920986721, + "loss": 0.9392, + "step": 7185 + }, + { + "epoch": 0.87, + "grad_norm": 0.24156947433948517, + "learning_rate": 0.00026354907904186796, + "loss": 0.942, + "step": 7190 + }, + { + "epoch": 0.87, + "grad_norm": 0.2070099264383316, + "learning_rate": 0.00026348181254509635, + "loss": 0.9375, + "step": 7195 + }, + { + "epoch": 0.87, + "grad_norm": 0.22052322328090668, + "learning_rate": 0.00026341449264001516, + "loss": 0.8665, + "step": 7200 + }, + { + "epoch": 0.87, + "grad_norm": 0.20919539034366608, + "learning_rate": 0.00026334711935830735, + "loss": 0.8609, + "step": 7205 + }, + { + "epoch": 0.87, + "grad_norm": 0.24203932285308838, + "learning_rate": 0.00026327969273168104, + "loss": 0.9312, + "step": 7210 + }, + { + "epoch": 0.87, + "grad_norm": 0.19879262149333954, + "learning_rate": 0.00026321221279186944, + "loss": 0.7982, + "step": 7215 + }, + { + "epoch": 0.87, + "grad_norm": 0.190317302942276, + "learning_rate": 0.0002631446795706308, + "loss": 0.9479, + "step": 7220 + }, + { + "epoch": 0.87, + "grad_norm": 0.20319460332393646, + "learning_rate": 0.0002630770930997486, + "loss": 0.9041, + "step": 7225 + }, + { + "epoch": 0.87, + "grad_norm": 0.20878246426582336, + "learning_rate": 0.00026300945341103113, + "loss": 0.9042, + "step": 7230 + }, + { + "epoch": 0.87, + "grad_norm": 0.208158478140831, + "learning_rate": 0.000262941760536312, + "loss": 0.91, + "step": 7235 + }, + { + "epoch": 0.87, + "grad_norm": 0.2144281417131424, + "learning_rate": 0.0002628740145074497, + "loss": 0.8517, + "step": 7240 + }, + { + "epoch": 0.87, + "grad_norm": 0.1934666633605957, + "learning_rate": 0.0002628062153563277, + "loss": 0.9417, + "step": 7245 + }, + { + "epoch": 0.87, + "grad_norm": 0.2240288108587265, + "learning_rate": 0.0002627383631148546, + "loss": 0.9912, + "step": 7250 + }, + { + "epoch": 0.87, + "grad_norm": 0.2270900011062622, + "learning_rate": 0.00026267045781496384, + "loss": 0.8963, + "step": 7255 + }, + { + "epoch": 0.87, + "grad_norm": 0.2111656367778778, + "learning_rate": 0.00026260249948861406, + "loss": 0.9598, + "step": 7260 + }, + { + "epoch": 0.88, + "grad_norm": 0.21797975897789001, + "learning_rate": 0.0002625344881677885, + "loss": 0.9216, + "step": 7265 + }, + { + "epoch": 0.88, + "grad_norm": 0.20986701548099518, + "learning_rate": 0.00026246642388449575, + "loss": 0.8921, + "step": 7270 + }, + { + "epoch": 0.88, + "grad_norm": 0.21102838218212128, + "learning_rate": 0.00026239830667076897, + "loss": 1.0191, + "step": 7275 + }, + { + "epoch": 0.88, + "grad_norm": 0.2326158732175827, + "learning_rate": 0.00026233013655866646, + "loss": 0.9563, + "step": 7280 + }, + { + "epoch": 0.88, + "grad_norm": 0.1865602284669876, + "learning_rate": 0.0002622619135802713, + "loss": 0.974, + "step": 7285 + }, + { + "epoch": 0.88, + "grad_norm": 0.1943947672843933, + "learning_rate": 0.00026219363776769155, + "loss": 0.9563, + "step": 7290 + }, + { + "epoch": 0.88, + "grad_norm": 0.21199694275856018, + "learning_rate": 0.00026212530915306, + "loss": 0.9788, + "step": 7295 + }, + { + "epoch": 0.88, + "grad_norm": 0.20368671417236328, + "learning_rate": 0.0002620569277685344, + "loss": 0.9533, + "step": 7300 + }, + { + "epoch": 0.88, + "grad_norm": 0.2417079508304596, + "learning_rate": 0.00026198849364629723, + "loss": 0.9253, + "step": 7305 + }, + { + "epoch": 0.88, + "grad_norm": 0.20021148025989532, + "learning_rate": 0.00026192000681855604, + "loss": 0.9328, + "step": 7310 + }, + { + "epoch": 0.88, + "grad_norm": 0.21492332220077515, + "learning_rate": 0.00026185146731754285, + "loss": 0.9173, + "step": 7315 + }, + { + "epoch": 0.88, + "grad_norm": 0.22613677382469177, + "learning_rate": 0.00026178287517551464, + "loss": 0.9277, + "step": 7320 + }, + { + "epoch": 0.88, + "grad_norm": 0.21383176743984222, + "learning_rate": 0.0002617142304247532, + "loss": 0.9311, + "step": 7325 + }, + { + "epoch": 0.88, + "grad_norm": 0.20949169993400574, + "learning_rate": 0.00026164553309756497, + "loss": 0.9854, + "step": 7330 + }, + { + "epoch": 0.88, + "grad_norm": 0.23615580797195435, + "learning_rate": 0.00026157678322628127, + "loss": 0.9295, + "step": 7335 + }, + { + "epoch": 0.88, + "grad_norm": 0.18629109859466553, + "learning_rate": 0.00026150798084325803, + "loss": 0.9045, + "step": 7340 + }, + { + "epoch": 0.88, + "grad_norm": 0.2189890593290329, + "learning_rate": 0.00026143912598087593, + "loss": 0.9756, + "step": 7345 + }, + { + "epoch": 0.89, + "grad_norm": 0.1957770138978958, + "learning_rate": 0.00026137021867154043, + "loss": 0.8535, + "step": 7350 + }, + { + "epoch": 0.89, + "grad_norm": 0.20852722227573395, + "learning_rate": 0.00026130125894768146, + "loss": 0.8852, + "step": 7355 + }, + { + "epoch": 0.89, + "grad_norm": 0.2296961098909378, + "learning_rate": 0.0002612322468417538, + "loss": 0.929, + "step": 7360 + }, + { + "epoch": 0.89, + "grad_norm": 0.21166066825389862, + "learning_rate": 0.00026116318238623694, + "loss": 1.0121, + "step": 7365 + }, + { + "epoch": 0.89, + "grad_norm": 0.20803911983966827, + "learning_rate": 0.0002610940656136348, + "loss": 0.9132, + "step": 7370 + }, + { + "epoch": 0.89, + "grad_norm": 0.26100292801856995, + "learning_rate": 0.0002610248965564761, + "loss": 0.9956, + "step": 7375 + }, + { + "epoch": 0.89, + "grad_norm": 0.19871069490909576, + "learning_rate": 0.000260955675247314, + "loss": 0.904, + "step": 7380 + }, + { + "epoch": 0.89, + "grad_norm": 0.21508464217185974, + "learning_rate": 0.0002608864017187264, + "loss": 0.8962, + "step": 7385 + }, + { + "epoch": 0.89, + "grad_norm": 0.22008737921714783, + "learning_rate": 0.0002608170760033158, + "loss": 0.8767, + "step": 7390 + }, + { + "epoch": 0.89, + "grad_norm": 0.2107255458831787, + "learning_rate": 0.0002607476981337091, + "loss": 0.9574, + "step": 7395 + }, + { + "epoch": 0.89, + "grad_norm": 0.2372090220451355, + "learning_rate": 0.00026067826814255777, + "loss": 0.9463, + "step": 7400 + }, + { + "epoch": 0.89, + "grad_norm": 0.20857949554920197, + "learning_rate": 0.000260608786062538, + "loss": 0.9372, + "step": 7405 + }, + { + "epoch": 0.89, + "grad_norm": 0.21467188000679016, + "learning_rate": 0.0002605392519263503, + "loss": 0.9589, + "step": 7410 + }, + { + "epoch": 0.89, + "grad_norm": 0.20547367632389069, + "learning_rate": 0.0002604696657667197, + "loss": 0.9673, + "step": 7415 + }, + { + "epoch": 0.89, + "grad_norm": 0.23634222149848938, + "learning_rate": 0.00026040002761639586, + "loss": 0.8479, + "step": 7420 + }, + { + "epoch": 0.89, + "grad_norm": 0.19742855429649353, + "learning_rate": 0.0002603303375081527, + "loss": 0.9117, + "step": 7425 + }, + { + "epoch": 0.9, + "grad_norm": 0.2211044728755951, + "learning_rate": 0.0002602605954747888, + "loss": 0.9479, + "step": 7430 + }, + { + "epoch": 0.9, + "grad_norm": 0.20085452497005463, + "learning_rate": 0.000260190801549127, + "loss": 0.96, + "step": 7435 + }, + { + "epoch": 0.9, + "grad_norm": 0.20444773137569427, + "learning_rate": 0.0002601209557640147, + "loss": 0.8778, + "step": 7440 + }, + { + "epoch": 0.9, + "grad_norm": 0.21985496580600739, + "learning_rate": 0.00026005105815232364, + "loss": 0.9513, + "step": 7445 + }, + { + "epoch": 0.9, + "grad_norm": 0.22137680649757385, + "learning_rate": 0.0002599811087469498, + "loss": 1.0321, + "step": 7450 + }, + { + "epoch": 0.9, + "grad_norm": 0.20409676432609558, + "learning_rate": 0.0002599111075808139, + "loss": 0.9039, + "step": 7455 + }, + { + "epoch": 0.9, + "grad_norm": 0.20805245637893677, + "learning_rate": 0.0002598410546868608, + "loss": 0.9834, + "step": 7460 + }, + { + "epoch": 0.9, + "grad_norm": 0.23089753091335297, + "learning_rate": 0.00025977095009805957, + "loss": 0.9394, + "step": 7465 + }, + { + "epoch": 0.9, + "grad_norm": 0.2073964923620224, + "learning_rate": 0.0002597007938474039, + "loss": 0.8757, + "step": 7470 + }, + { + "epoch": 0.9, + "grad_norm": 0.22039000689983368, + "learning_rate": 0.00025963058596791157, + "loss": 0.8823, + "step": 7475 + }, + { + "epoch": 0.9, + "grad_norm": 0.20339925587177277, + "learning_rate": 0.00025956032649262475, + "loss": 0.9434, + "step": 7480 + }, + { + "epoch": 0.9, + "grad_norm": 0.2380754053592682, + "learning_rate": 0.0002594900154546099, + "loss": 0.9431, + "step": 7485 + }, + { + "epoch": 0.9, + "grad_norm": 0.22166424989700317, + "learning_rate": 0.00025941965288695776, + "loss": 0.8625, + "step": 7490 + }, + { + "epoch": 0.9, + "grad_norm": 0.19690659642219543, + "learning_rate": 0.00025934923882278325, + "loss": 0.8757, + "step": 7495 + }, + { + "epoch": 0.9, + "grad_norm": 0.225230872631073, + "learning_rate": 0.00025927877329522554, + "loss": 0.9952, + "step": 7500 + }, + { + "epoch": 0.9, + "grad_norm": 0.23189792037010193, + "learning_rate": 0.00025920825633744815, + "loss": 1.0034, + "step": 7505 + }, + { + "epoch": 0.9, + "grad_norm": 0.22297634184360504, + "learning_rate": 0.0002591376879826386, + "loss": 0.9525, + "step": 7510 + }, + { + "epoch": 0.91, + "grad_norm": 0.2259618490934372, + "learning_rate": 0.00025906706826400863, + "loss": 0.9325, + "step": 7515 + }, + { + "epoch": 0.91, + "grad_norm": 0.21782998740673065, + "learning_rate": 0.0002589963972147945, + "loss": 0.9086, + "step": 7520 + }, + { + "epoch": 0.91, + "grad_norm": 0.2169419527053833, + "learning_rate": 0.000258925674868256, + "loss": 0.9848, + "step": 7525 + }, + { + "epoch": 0.91, + "grad_norm": 0.20681601762771606, + "learning_rate": 0.00025885490125767774, + "loss": 0.9753, + "step": 7530 + }, + { + "epoch": 0.91, + "grad_norm": 0.21519158780574799, + "learning_rate": 0.00025878407641636794, + "loss": 0.9679, + "step": 7535 + }, + { + "epoch": 0.91, + "grad_norm": 0.22115248441696167, + "learning_rate": 0.00025871320037765917, + "loss": 0.8951, + "step": 7540 + }, + { + "epoch": 0.91, + "grad_norm": 0.21856175363063812, + "learning_rate": 0.0002586422731749081, + "loss": 0.9302, + "step": 7545 + }, + { + "epoch": 0.91, + "grad_norm": 0.21080365777015686, + "learning_rate": 0.0002585712948414953, + "loss": 0.9291, + "step": 7550 + }, + { + "epoch": 0.91, + "grad_norm": 0.210664302110672, + "learning_rate": 0.0002585002654108257, + "loss": 0.9287, + "step": 7555 + }, + { + "epoch": 0.91, + "grad_norm": 0.19781038165092468, + "learning_rate": 0.0002584291849163279, + "loss": 0.9384, + "step": 7560 + }, + { + "epoch": 0.91, + "grad_norm": 0.22275352478027344, + "learning_rate": 0.0002583580533914549, + "loss": 0.824, + "step": 7565 + }, + { + "epoch": 0.91, + "grad_norm": 0.2083931863307953, + "learning_rate": 0.00025828687086968354, + "loss": 0.9764, + "step": 7570 + }, + { + "epoch": 0.91, + "grad_norm": 0.20877456665039062, + "learning_rate": 0.00025821563738451464, + "loss": 0.9347, + "step": 7575 + }, + { + "epoch": 0.91, + "grad_norm": 0.1873340606689453, + "learning_rate": 0.00025814435296947307, + "loss": 0.9142, + "step": 7580 + }, + { + "epoch": 0.91, + "grad_norm": 0.2477707713842392, + "learning_rate": 0.0002580730176581076, + "loss": 0.9027, + "step": 7585 + }, + { + "epoch": 0.91, + "grad_norm": 0.23362557590007782, + "learning_rate": 0.000258001631483991, + "loss": 0.8038, + "step": 7590 + }, + { + "epoch": 0.92, + "grad_norm": 0.22810354828834534, + "learning_rate": 0.00025793019448072007, + "loss": 0.9889, + "step": 7595 + }, + { + "epoch": 0.92, + "grad_norm": 0.2291039526462555, + "learning_rate": 0.0002578587066819153, + "loss": 0.9264, + "step": 7600 + }, + { + "epoch": 0.92, + "grad_norm": 0.22235728800296783, + "learning_rate": 0.00025778716812122136, + "loss": 0.9701, + "step": 7605 + }, + { + "epoch": 0.92, + "grad_norm": 0.21946272253990173, + "learning_rate": 0.00025771557883230657, + "loss": 0.8935, + "step": 7610 + }, + { + "epoch": 0.92, + "grad_norm": 0.21064096689224243, + "learning_rate": 0.00025764393884886324, + "loss": 0.9104, + "step": 7615 + }, + { + "epoch": 0.92, + "grad_norm": 0.2479812055826187, + "learning_rate": 0.00025757224820460755, + "loss": 0.8872, + "step": 7620 + }, + { + "epoch": 0.92, + "grad_norm": 0.2186814844608307, + "learning_rate": 0.0002575005069332795, + "loss": 0.9364, + "step": 7625 + }, + { + "epoch": 0.92, + "grad_norm": 0.2108563780784607, + "learning_rate": 0.00025742871506864295, + "loss": 0.8766, + "step": 7630 + }, + { + "epoch": 0.92, + "grad_norm": 0.213986337184906, + "learning_rate": 0.0002573568726444854, + "loss": 0.9053, + "step": 7635 + }, + { + "epoch": 0.92, + "grad_norm": 0.23144182562828064, + "learning_rate": 0.0002572849796946184, + "loss": 0.9933, + "step": 7640 + }, + { + "epoch": 0.92, + "grad_norm": 0.2001713067293167, + "learning_rate": 0.00025721303625287717, + "loss": 0.9321, + "step": 7645 + }, + { + "epoch": 0.92, + "grad_norm": 0.19496455788612366, + "learning_rate": 0.00025714104235312064, + "loss": 0.861, + "step": 7650 + }, + { + "epoch": 0.92, + "grad_norm": 0.19990824162960052, + "learning_rate": 0.0002570689980292315, + "loss": 0.9007, + "step": 7655 + }, + { + "epoch": 0.92, + "grad_norm": 0.2162327915430069, + "learning_rate": 0.0002569969033151163, + "loss": 0.9936, + "step": 7660 + }, + { + "epoch": 0.92, + "grad_norm": 0.20773164927959442, + "learning_rate": 0.00025692475824470504, + "loss": 0.9124, + "step": 7665 + }, + { + "epoch": 0.92, + "grad_norm": 0.19005447626113892, + "learning_rate": 0.0002568525628519518, + "loss": 1.0014, + "step": 7670 + }, + { + "epoch": 0.92, + "grad_norm": 0.18565884232521057, + "learning_rate": 0.00025678031717083394, + "loss": 0.8888, + "step": 7675 + }, + { + "epoch": 0.93, + "grad_norm": 0.21810932457447052, + "learning_rate": 0.0002567080212353528, + "loss": 0.8517, + "step": 7680 + }, + { + "epoch": 0.93, + "grad_norm": 0.21368250250816345, + "learning_rate": 0.00025663567507953314, + "loss": 0.9296, + "step": 7685 + }, + { + "epoch": 0.93, + "grad_norm": 0.19680459797382355, + "learning_rate": 0.0002565632787374236, + "loss": 1.0182, + "step": 7690 + }, + { + "epoch": 0.93, + "grad_norm": 0.23982003331184387, + "learning_rate": 0.00025649083224309617, + "loss": 0.9503, + "step": 7695 + }, + { + "epoch": 0.93, + "grad_norm": 0.24432729184627533, + "learning_rate": 0.00025641833563064666, + "loss": 0.903, + "step": 7700 + }, + { + "epoch": 0.93, + "grad_norm": 0.20875149965286255, + "learning_rate": 0.00025634578893419434, + "loss": 0.8951, + "step": 7705 + }, + { + "epoch": 0.93, + "grad_norm": 0.21281814575195312, + "learning_rate": 0.00025627319218788215, + "loss": 0.9059, + "step": 7710 + }, + { + "epoch": 0.93, + "grad_norm": 0.226210355758667, + "learning_rate": 0.0002562005454258765, + "loss": 0.9195, + "step": 7715 + }, + { + "epoch": 0.93, + "grad_norm": 0.22133582830429077, + "learning_rate": 0.0002561278486823673, + "loss": 0.8901, + "step": 7720 + }, + { + "epoch": 0.93, + "grad_norm": 0.24061179161071777, + "learning_rate": 0.00025605510199156817, + "loss": 0.9548, + "step": 7725 + }, + { + "epoch": 0.93, + "grad_norm": 0.20201779901981354, + "learning_rate": 0.000255982305387716, + "loss": 0.8928, + "step": 7730 + }, + { + "epoch": 0.93, + "grad_norm": 0.23118892312049866, + "learning_rate": 0.00025590945890507146, + "loss": 0.9098, + "step": 7735 + }, + { + "epoch": 0.93, + "grad_norm": 0.3037243187427521, + "learning_rate": 0.00025583656257791834, + "loss": 0.8707, + "step": 7740 + }, + { + "epoch": 0.93, + "grad_norm": 0.2243233621120453, + "learning_rate": 0.0002557636164405641, + "loss": 0.8642, + "step": 7745 + }, + { + "epoch": 0.93, + "grad_norm": 0.1916697919368744, + "learning_rate": 0.0002556906205273398, + "loss": 0.9297, + "step": 7750 + }, + { + "epoch": 0.93, + "grad_norm": 0.18961936235427856, + "learning_rate": 0.00025561757487259953, + "loss": 0.8665, + "step": 7755 + }, + { + "epoch": 0.93, + "grad_norm": 0.21484404802322388, + "learning_rate": 0.000255544479510721, + "loss": 0.8957, + "step": 7760 + }, + { + "epoch": 0.94, + "grad_norm": 0.2340548038482666, + "learning_rate": 0.0002554713344761055, + "loss": 0.8395, + "step": 7765 + }, + { + "epoch": 0.94, + "grad_norm": 0.20856556296348572, + "learning_rate": 0.00025539813980317733, + "loss": 0.9225, + "step": 7770 + }, + { + "epoch": 0.94, + "grad_norm": 0.21993188560009003, + "learning_rate": 0.00025532489552638446, + "loss": 0.9975, + "step": 7775 + }, + { + "epoch": 0.94, + "grad_norm": 0.21606536209583282, + "learning_rate": 0.000255251601680198, + "loss": 0.9617, + "step": 7780 + }, + { + "epoch": 0.94, + "grad_norm": 0.23577193915843964, + "learning_rate": 0.00025517825829911246, + "loss": 0.9713, + "step": 7785 + }, + { + "epoch": 0.94, + "grad_norm": 0.2203446924686432, + "learning_rate": 0.0002551048654176457, + "loss": 0.984, + "step": 7790 + }, + { + "epoch": 0.94, + "grad_norm": 0.23059968650341034, + "learning_rate": 0.0002550314230703389, + "loss": 0.9334, + "step": 7795 + }, + { + "epoch": 0.94, + "grad_norm": 0.2229011207818985, + "learning_rate": 0.0002549579312917564, + "loss": 1.0343, + "step": 7800 + }, + { + "epoch": 0.94, + "grad_norm": 0.18573442101478577, + "learning_rate": 0.0002548843901164859, + "loss": 0.8456, + "step": 7805 + }, + { + "epoch": 0.94, + "grad_norm": 0.2154776155948639, + "learning_rate": 0.00025481079957913826, + "loss": 0.983, + "step": 7810 + }, + { + "epoch": 0.94, + "grad_norm": 0.20241975784301758, + "learning_rate": 0.0002547371597143477, + "loss": 1.0003, + "step": 7815 + }, + { + "epoch": 0.94, + "grad_norm": 0.2103583961725235, + "learning_rate": 0.0002546634705567716, + "loss": 0.9616, + "step": 7820 + }, + { + "epoch": 0.94, + "grad_norm": 0.1959349662065506, + "learning_rate": 0.0002545897321410905, + "loss": 1.0201, + "step": 7825 + }, + { + "epoch": 0.94, + "grad_norm": 0.22472964227199554, + "learning_rate": 0.00025451594450200804, + "loss": 0.997, + "step": 7830 + }, + { + "epoch": 0.94, + "grad_norm": 0.2131294161081314, + "learning_rate": 0.0002544421076742513, + "loss": 0.9673, + "step": 7835 + }, + { + "epoch": 0.94, + "grad_norm": 0.21508903801441193, + "learning_rate": 0.00025436822169257027, + "loss": 0.9775, + "step": 7840 + }, + { + "epoch": 0.95, + "grad_norm": 0.2155522108078003, + "learning_rate": 0.00025429428659173815, + "loss": 0.7657, + "step": 7845 + }, + { + "epoch": 0.95, + "grad_norm": 0.22796915471553802, + "learning_rate": 0.00025422030240655123, + "loss": 0.9161, + "step": 7850 + }, + { + "epoch": 0.95, + "grad_norm": 0.19367897510528564, + "learning_rate": 0.000254146269171829, + "loss": 0.9141, + "step": 7855 + }, + { + "epoch": 0.95, + "grad_norm": 0.2098265439271927, + "learning_rate": 0.00025407218692241384, + "loss": 1.0136, + "step": 7860 + }, + { + "epoch": 0.95, + "grad_norm": 0.20742662250995636, + "learning_rate": 0.00025399805569317145, + "loss": 1.0097, + "step": 7865 + }, + { + "epoch": 0.95, + "grad_norm": 0.19661657512187958, + "learning_rate": 0.00025392387551899034, + "loss": 0.8654, + "step": 7870 + }, + { + "epoch": 0.95, + "grad_norm": 0.2003818154335022, + "learning_rate": 0.0002538496464347822, + "loss": 0.9325, + "step": 7875 + }, + { + "epoch": 0.95, + "grad_norm": 0.21950916945934296, + "learning_rate": 0.0002537753684754817, + "loss": 0.9218, + "step": 7880 + }, + { + "epoch": 0.95, + "grad_norm": 0.2205251157283783, + "learning_rate": 0.00025370104167604657, + "loss": 0.9599, + "step": 7885 + }, + { + "epoch": 0.95, + "grad_norm": 0.21949486434459686, + "learning_rate": 0.00025362666607145744, + "loss": 0.8522, + "step": 7890 + }, + { + "epoch": 0.95, + "grad_norm": 0.20743881165981293, + "learning_rate": 0.00025355224169671786, + "loss": 0.9354, + "step": 7895 + }, + { + "epoch": 0.95, + "grad_norm": 0.19251248240470886, + "learning_rate": 0.0002534777685868545, + "loss": 0.9454, + "step": 7900 + }, + { + "epoch": 0.95, + "grad_norm": 0.22613319754600525, + "learning_rate": 0.00025340324677691685, + "loss": 0.929, + "step": 7905 + }, + { + "epoch": 0.95, + "grad_norm": 0.206687793135643, + "learning_rate": 0.00025332867630197735, + "loss": 0.8953, + "step": 7910 + }, + { + "epoch": 0.95, + "grad_norm": 0.19443422555923462, + "learning_rate": 0.0002532540571971313, + "loss": 0.9731, + "step": 7915 + }, + { + "epoch": 0.95, + "grad_norm": 0.20105896890163422, + "learning_rate": 0.00025317938949749705, + "loss": 0.924, + "step": 7920 + }, + { + "epoch": 0.95, + "grad_norm": 0.2265363335609436, + "learning_rate": 0.0002531046732382156, + "loss": 0.9835, + "step": 7925 + }, + { + "epoch": 0.96, + "grad_norm": 0.19356288015842438, + "learning_rate": 0.00025302990845445087, + "loss": 1.0531, + "step": 7930 + }, + { + "epoch": 0.96, + "grad_norm": 0.1920010894536972, + "learning_rate": 0.00025295509518138975, + "loss": 0.9466, + "step": 7935 + }, + { + "epoch": 0.96, + "grad_norm": 0.22366103529930115, + "learning_rate": 0.00025288023345424176, + "loss": 0.9589, + "step": 7940 + }, + { + "epoch": 0.96, + "grad_norm": 0.22013331949710846, + "learning_rate": 0.00025280532330823944, + "loss": 1.0145, + "step": 7945 + }, + { + "epoch": 0.96, + "grad_norm": 0.24709923565387726, + "learning_rate": 0.00025273036477863785, + "loss": 1.0086, + "step": 7950 + }, + { + "epoch": 0.96, + "grad_norm": 0.2514353096485138, + "learning_rate": 0.00025265535790071505, + "loss": 0.9726, + "step": 7955 + }, + { + "epoch": 0.96, + "grad_norm": 0.2117491513490677, + "learning_rate": 0.0002525803027097717, + "loss": 0.8978, + "step": 7960 + }, + { + "epoch": 0.96, + "grad_norm": 0.21775074303150177, + "learning_rate": 0.0002525051992411314, + "loss": 0.8716, + "step": 7965 + }, + { + "epoch": 0.96, + "grad_norm": 0.20569385588169098, + "learning_rate": 0.0002524300475301402, + "loss": 0.8722, + "step": 7970 + }, + { + "epoch": 0.96, + "grad_norm": 0.19833216071128845, + "learning_rate": 0.00025235484761216697, + "loss": 0.859, + "step": 7975 + }, + { + "epoch": 0.96, + "grad_norm": 0.19562938809394836, + "learning_rate": 0.00025227959952260344, + "loss": 0.9029, + "step": 7980 + }, + { + "epoch": 0.96, + "grad_norm": 0.19179534912109375, + "learning_rate": 0.00025220430329686377, + "loss": 0.9367, + "step": 7985 + }, + { + "epoch": 0.96, + "grad_norm": 0.20224545896053314, + "learning_rate": 0.0002521289589703848, + "loss": 0.8961, + "step": 7990 + }, + { + "epoch": 0.96, + "grad_norm": 0.2402665615081787, + "learning_rate": 0.0002520535665786262, + "loss": 0.8604, + "step": 7995 + }, + { + "epoch": 0.96, + "grad_norm": 0.24251817166805267, + "learning_rate": 0.00025197812615707007, + "loss": 0.9031, + "step": 8000 + }, + { + "epoch": 0.96, + "grad_norm": 0.23049946129322052, + "learning_rate": 0.00025190263774122113, + "loss": 0.8619, + "step": 8005 + }, + { + "epoch": 0.97, + "grad_norm": 0.2142931967973709, + "learning_rate": 0.0002518271013666068, + "loss": 0.8672, + "step": 8010 + }, + { + "epoch": 0.97, + "grad_norm": 0.21534845232963562, + "learning_rate": 0.0002517515170687771, + "loss": 0.9955, + "step": 8015 + }, + { + "epoch": 0.97, + "grad_norm": 0.19614648818969727, + "learning_rate": 0.0002516758848833043, + "loss": 0.8943, + "step": 8020 + }, + { + "epoch": 0.97, + "grad_norm": 0.21292729675769806, + "learning_rate": 0.0002516002048457835, + "loss": 0.9365, + "step": 8025 + }, + { + "epoch": 0.97, + "grad_norm": 0.20765379071235657, + "learning_rate": 0.0002515244769918323, + "loss": 0.8914, + "step": 8030 + }, + { + "epoch": 0.97, + "grad_norm": 0.24531885981559753, + "learning_rate": 0.00025144870135709077, + "loss": 0.9454, + "step": 8035 + }, + { + "epoch": 0.97, + "grad_norm": 0.21342940628528595, + "learning_rate": 0.0002513728779772213, + "loss": 0.9629, + "step": 8040 + }, + { + "epoch": 0.97, + "grad_norm": 0.20636995136737823, + "learning_rate": 0.00025129700688790896, + "loss": 0.9343, + "step": 8045 + }, + { + "epoch": 0.97, + "grad_norm": 0.20889271795749664, + "learning_rate": 0.00025122108812486124, + "loss": 0.9349, + "step": 8050 + }, + { + "epoch": 0.97, + "grad_norm": 0.2028619647026062, + "learning_rate": 0.000251145121723808, + "loss": 0.9775, + "step": 8055 + }, + { + "epoch": 0.97, + "grad_norm": 0.20538374781608582, + "learning_rate": 0.0002510691077205015, + "loss": 0.8841, + "step": 8060 + }, + { + "epoch": 0.97, + "grad_norm": 0.23155823349952698, + "learning_rate": 0.0002509930461507166, + "loss": 0.9182, + "step": 8065 + }, + { + "epoch": 0.97, + "grad_norm": 0.21618753671646118, + "learning_rate": 0.00025091693705025023, + "loss": 0.8398, + "step": 8070 + }, + { + "epoch": 0.97, + "grad_norm": 0.2337218075990677, + "learning_rate": 0.00025084078045492194, + "loss": 0.9557, + "step": 8075 + }, + { + "epoch": 0.97, + "grad_norm": 0.2220161408185959, + "learning_rate": 0.0002507645764005736, + "loss": 1.008, + "step": 8080 + }, + { + "epoch": 0.97, + "grad_norm": 0.20406211912631989, + "learning_rate": 0.00025068832492306924, + "loss": 0.8859, + "step": 8085 + }, + { + "epoch": 0.97, + "grad_norm": 0.22060614824295044, + "learning_rate": 0.0002506120260582955, + "loss": 0.936, + "step": 8090 + }, + { + "epoch": 0.98, + "grad_norm": 0.2314573973417282, + "learning_rate": 0.000250535679842161, + "loss": 0.9284, + "step": 8095 + }, + { + "epoch": 0.98, + "grad_norm": 0.22508397698402405, + "learning_rate": 0.00025045928631059694, + "loss": 0.9302, + "step": 8100 + }, + { + "epoch": 0.98, + "grad_norm": 0.2177351713180542, + "learning_rate": 0.00025038284549955655, + "loss": 0.9366, + "step": 8105 + }, + { + "epoch": 0.98, + "grad_norm": 0.2541705369949341, + "learning_rate": 0.0002503063574450155, + "loss": 0.9312, + "step": 8110 + }, + { + "epoch": 0.98, + "grad_norm": 0.22795630991458893, + "learning_rate": 0.0002502298221829715, + "loss": 0.8796, + "step": 8115 + }, + { + "epoch": 0.98, + "grad_norm": 0.23147457838058472, + "learning_rate": 0.0002501532397494447, + "loss": 0.9392, + "step": 8120 + }, + { + "epoch": 0.98, + "grad_norm": 0.21217665076255798, + "learning_rate": 0.0002500766101804773, + "loss": 0.9313, + "step": 8125 + }, + { + "epoch": 0.98, + "grad_norm": 0.2149830311536789, + "learning_rate": 0.0002499999335121337, + "loss": 0.8611, + "step": 8130 + }, + { + "epoch": 0.98, + "grad_norm": 0.22693344950675964, + "learning_rate": 0.0002499232097805004, + "loss": 0.9367, + "step": 8135 + }, + { + "epoch": 0.98, + "grad_norm": 0.23371291160583496, + "learning_rate": 0.0002498464390216864, + "loss": 0.9207, + "step": 8140 + }, + { + "epoch": 0.98, + "grad_norm": 0.2417604625225067, + "learning_rate": 0.00024976962127182224, + "loss": 0.9299, + "step": 8145 + }, + { + "epoch": 0.98, + "grad_norm": 0.2232208102941513, + "learning_rate": 0.00024969275656706115, + "loss": 0.9032, + "step": 8150 + }, + { + "epoch": 0.98, + "grad_norm": 0.23492024838924408, + "learning_rate": 0.0002496158449435781, + "loss": 0.8478, + "step": 8155 + }, + { + "epoch": 0.98, + "grad_norm": 0.22294215857982635, + "learning_rate": 0.00024953888643757026, + "loss": 0.9258, + "step": 8160 + }, + { + "epoch": 0.98, + "grad_norm": 0.20344236493110657, + "learning_rate": 0.0002494618810852569, + "loss": 0.8963, + "step": 8165 + }, + { + "epoch": 0.98, + "grad_norm": 0.1954520046710968, + "learning_rate": 0.0002493848289228793, + "loss": 0.8931, + "step": 8170 + }, + { + "epoch": 0.98, + "grad_norm": 0.2296024113893509, + "learning_rate": 0.00024930772998670074, + "loss": 0.931, + "step": 8175 + }, + { + "epoch": 0.99, + "grad_norm": 0.19687330722808838, + "learning_rate": 0.00024923058431300653, + "loss": 0.8976, + "step": 8180 + }, + { + "epoch": 0.99, + "grad_norm": 0.20918093621730804, + "learning_rate": 0.000249153391938104, + "loss": 0.9273, + "step": 8185 + }, + { + "epoch": 0.99, + "grad_norm": 0.2444303333759308, + "learning_rate": 0.0002490761528983224, + "loss": 0.9052, + "step": 8190 + }, + { + "epoch": 0.99, + "grad_norm": 0.2560185194015503, + "learning_rate": 0.00024899886723001307, + "loss": 0.8845, + "step": 8195 + }, + { + "epoch": 0.99, + "grad_norm": 0.20742972195148468, + "learning_rate": 0.00024892153496954917, + "loss": 0.8958, + "step": 8200 + }, + { + "epoch": 0.99, + "grad_norm": 0.25156137347221375, + "learning_rate": 0.0002488441561533258, + "loss": 0.862, + "step": 8205 + }, + { + "epoch": 0.99, + "grad_norm": 0.22066602110862732, + "learning_rate": 0.00024876673081776, + "loss": 0.9099, + "step": 8210 + }, + { + "epoch": 0.99, + "grad_norm": 0.2297365367412567, + "learning_rate": 0.00024868925899929084, + "loss": 0.8339, + "step": 8215 + }, + { + "epoch": 0.99, + "grad_norm": 0.23268838226795197, + "learning_rate": 0.0002486117407343789, + "loss": 0.8629, + "step": 8220 + }, + { + "epoch": 0.99, + "grad_norm": 0.20442204177379608, + "learning_rate": 0.0002485341760595071, + "loss": 0.929, + "step": 8225 + }, + { + "epoch": 0.99, + "grad_norm": 0.2177409529685974, + "learning_rate": 0.0002484565650111798, + "loss": 0.9028, + "step": 8230 + }, + { + "epoch": 0.99, + "grad_norm": 0.2090945988893509, + "learning_rate": 0.0002483789076259233, + "loss": 0.9519, + "step": 8235 + }, + { + "epoch": 0.99, + "grad_norm": 0.20811286568641663, + "learning_rate": 0.00024830120394028586, + "loss": 0.9343, + "step": 8240 + }, + { + "epoch": 0.99, + "grad_norm": 0.21751175820827484, + "learning_rate": 0.0002482234539908374, + "loss": 0.9037, + "step": 8245 + }, + { + "epoch": 0.99, + "grad_norm": 0.20378360152244568, + "learning_rate": 0.0002481456578141695, + "loss": 0.9319, + "step": 8250 + }, + { + "epoch": 0.99, + "grad_norm": 0.21400323510169983, + "learning_rate": 0.00024806781544689575, + "loss": 0.8737, + "step": 8255 + }, + { + "epoch": 1.0, + "grad_norm": 0.19827169179916382, + "learning_rate": 0.00024798992692565136, + "loss": 0.9123, + "step": 8260 + }, + { + "epoch": 1.0, + "grad_norm": 0.23193618655204773, + "learning_rate": 0.00024791199228709317, + "loss": 0.9127, + "step": 8265 + }, + { + "epoch": 1.0, + "grad_norm": 0.24364005029201508, + "learning_rate": 0.00024783401156789985, + "loss": 0.9055, + "step": 8270 + }, + { + "epoch": 1.0, + "grad_norm": 0.23433059453964233, + "learning_rate": 0.00024775598480477175, + "loss": 1.01, + "step": 8275 + }, + { + "epoch": 1.0, + "grad_norm": 0.20962095260620117, + "learning_rate": 0.0002476779120344308, + "loss": 0.8084, + "step": 8280 + }, + { + "epoch": 1.0, + "grad_norm": 0.2257934808731079, + "learning_rate": 0.00024759979329362067, + "loss": 0.9176, + "step": 8285 + }, + { + "epoch": 1.0, + "grad_norm": 0.21964751183986664, + "learning_rate": 0.0002475216286191067, + "loss": 0.8642, + "step": 8290 + }, + { + "epoch": 1.0, + "grad_norm": 0.21779011189937592, + "learning_rate": 0.00024744341804767555, + "loss": 0.9282, + "step": 8295 + }, + { + "epoch": 1.0, + "grad_norm": 0.21334509551525116, + "learning_rate": 0.000247365161616136, + "loss": 0.8526, + "step": 8300 + }, + { + "epoch": 1.0, + "grad_norm": 0.21431876718997955, + "learning_rate": 0.00024728685936131794, + "loss": 0.8295, + "step": 8305 + }, + { + "epoch": 1.0, + "grad_norm": 0.22023451328277588, + "learning_rate": 0.0002472085113200731, + "loss": 0.9086, + "step": 8310 + }, + { + "epoch": 1.0, + "grad_norm": 0.20858727395534515, + "learning_rate": 0.0002471301175292746, + "loss": 0.9956, + "step": 8315 + }, + { + "epoch": 1.0, + "grad_norm": 0.19900618493556976, + "learning_rate": 0.00024705167802581727, + "loss": 0.9715, + "step": 8320 + }, + { + "epoch": 1.0, + "grad_norm": 0.21103012561798096, + "learning_rate": 0.0002469731928466172, + "loss": 0.8762, + "step": 8325 + }, + { + "epoch": 1.0, + "grad_norm": 0.2619311809539795, + "learning_rate": 0.0002468946620286122, + "loss": 0.9099, + "step": 8330 + }, + { + "epoch": 1.0, + "grad_norm": 0.22611823678016663, + "learning_rate": 0.0002468160856087615, + "loss": 0.9334, + "step": 8335 + }, + { + "epoch": 1.0, + "grad_norm": 0.20762339234352112, + "learning_rate": 0.0002467374636240458, + "loss": 0.9715, + "step": 8340 + }, + { + "epoch": 1.01, + "grad_norm": 0.20186099410057068, + "learning_rate": 0.0002466587961114671, + "loss": 0.8772, + "step": 8345 + }, + { + "epoch": 1.01, + "grad_norm": 0.2584278881549835, + "learning_rate": 0.000246580083108049, + "loss": 0.9342, + "step": 8350 + }, + { + "epoch": 1.01, + "grad_norm": 0.20932774245738983, + "learning_rate": 0.0002465013246508365, + "loss": 0.9424, + "step": 8355 + }, + { + "epoch": 1.01, + "grad_norm": 0.22265595197677612, + "learning_rate": 0.0002464225207768959, + "loss": 0.8854, + "step": 8360 + }, + { + "epoch": 1.01, + "grad_norm": 0.24274423718452454, + "learning_rate": 0.0002463436715233149, + "loss": 0.9185, + "step": 8365 + }, + { + "epoch": 1.01, + "grad_norm": 0.22588522732257843, + "learning_rate": 0.0002462647769272027, + "loss": 0.8415, + "step": 8370 + }, + { + "epoch": 1.01, + "grad_norm": 0.21932215988636017, + "learning_rate": 0.00024618583702568954, + "loss": 0.9426, + "step": 8375 + }, + { + "epoch": 1.01, + "grad_norm": 0.2024673968553543, + "learning_rate": 0.0002461068518559273, + "loss": 0.833, + "step": 8380 + }, + { + "epoch": 1.01, + "grad_norm": 0.22020402550697327, + "learning_rate": 0.00024602782145508885, + "loss": 0.8884, + "step": 8385 + }, + { + "epoch": 1.01, + "grad_norm": 0.24328754842281342, + "learning_rate": 0.00024594874586036876, + "loss": 0.8266, + "step": 8390 + }, + { + "epoch": 1.01, + "grad_norm": 0.23017850518226624, + "learning_rate": 0.00024586962510898244, + "loss": 0.96, + "step": 8395 + }, + { + "epoch": 1.01, + "grad_norm": 0.22810372710227966, + "learning_rate": 0.0002457904592381668, + "loss": 0.9248, + "step": 8400 + }, + { + "epoch": 1.01, + "grad_norm": 0.23655059933662415, + "learning_rate": 0.00024571124828518003, + "loss": 0.9204, + "step": 8405 + }, + { + "epoch": 1.01, + "grad_norm": 0.24605585634708405, + "learning_rate": 0.0002456319922873013, + "loss": 0.8909, + "step": 8410 + }, + { + "epoch": 1.01, + "grad_norm": 0.22107426822185516, + "learning_rate": 0.00024555269128183116, + "loss": 0.8827, + "step": 8415 + }, + { + "epoch": 1.01, + "grad_norm": 0.24414613842964172, + "learning_rate": 0.00024547334530609124, + "loss": 0.8416, + "step": 8420 + }, + { + "epoch": 1.02, + "grad_norm": 0.23650889098644257, + "learning_rate": 0.00024539395439742453, + "loss": 0.8868, + "step": 8425 + }, + { + "epoch": 1.02, + "grad_norm": 0.23410624265670776, + "learning_rate": 0.000245314518593195, + "loss": 1.0127, + "step": 8430 + }, + { + "epoch": 1.02, + "grad_norm": 0.2250613421201706, + "learning_rate": 0.0002452350379307876, + "loss": 0.9244, + "step": 8435 + }, + { + "epoch": 1.02, + "grad_norm": 0.22231152653694153, + "learning_rate": 0.00024515551244760865, + "loss": 0.9534, + "step": 8440 + }, + { + "epoch": 1.02, + "grad_norm": 0.2265365868806839, + "learning_rate": 0.0002450759421810856, + "loss": 0.8905, + "step": 8445 + }, + { + "epoch": 1.02, + "grad_norm": 0.21347838640213013, + "learning_rate": 0.0002449963271686668, + "loss": 0.9037, + "step": 8450 + }, + { + "epoch": 1.02, + "grad_norm": 0.23790526390075684, + "learning_rate": 0.0002449166674478217, + "loss": 0.8819, + "step": 8455 + }, + { + "epoch": 1.02, + "grad_norm": 0.2057124823331833, + "learning_rate": 0.0002448369630560408, + "loss": 0.9506, + "step": 8460 + }, + { + "epoch": 1.02, + "grad_norm": 0.22661954164505005, + "learning_rate": 0.00024475721403083566, + "loss": 0.8741, + "step": 8465 + }, + { + "epoch": 1.02, + "grad_norm": 0.2240198701620102, + "learning_rate": 0.0002446774204097388, + "loss": 0.8722, + "step": 8470 + }, + { + "epoch": 1.02, + "grad_norm": 0.19682292640209198, + "learning_rate": 0.0002445975822303038, + "loss": 0.8477, + "step": 8475 + }, + { + "epoch": 1.02, + "grad_norm": 0.20487092435359955, + "learning_rate": 0.00024451769953010504, + "loss": 0.8088, + "step": 8480 + }, + { + "epoch": 1.02, + "grad_norm": 0.23260267078876495, + "learning_rate": 0.00024443777234673807, + "loss": 0.8667, + "step": 8485 + }, + { + "epoch": 1.02, + "grad_norm": 0.2150842696428299, + "learning_rate": 0.00024435780071781926, + "loss": 0.8324, + "step": 8490 + }, + { + "epoch": 1.02, + "grad_norm": 0.24172092974185944, + "learning_rate": 0.00024427778468098587, + "loss": 0.8618, + "step": 8495 + }, + { + "epoch": 1.02, + "grad_norm": 0.23562046885490417, + "learning_rate": 0.0002441977242738962, + "loss": 0.9769, + "step": 8500 + }, + { + "epoch": 1.02, + "grad_norm": 0.2472938448190689, + "learning_rate": 0.00024411761953422922, + "loss": 0.8776, + "step": 8505 + }, + { + "epoch": 1.03, + "grad_norm": 0.23211072385311127, + "learning_rate": 0.000244037470499685, + "loss": 0.8499, + "step": 8510 + }, + { + "epoch": 1.03, + "grad_norm": 0.2152828425168991, + "learning_rate": 0.00024395727720798424, + "loss": 0.8764, + "step": 8515 + }, + { + "epoch": 1.03, + "grad_norm": 0.21999038755893707, + "learning_rate": 0.0002438770396968686, + "loss": 0.8729, + "step": 8520 + }, + { + "epoch": 1.03, + "grad_norm": 0.21073397994041443, + "learning_rate": 0.0002437967580041005, + "loss": 0.8665, + "step": 8525 + }, + { + "epoch": 1.03, + "grad_norm": 0.21868467330932617, + "learning_rate": 0.00024371643216746324, + "loss": 0.8653, + "step": 8530 + }, + { + "epoch": 1.03, + "grad_norm": 0.22046944499015808, + "learning_rate": 0.00024363606222476075, + "loss": 0.8832, + "step": 8535 + }, + { + "epoch": 1.03, + "grad_norm": 0.23462894558906555, + "learning_rate": 0.00024355564821381784, + "loss": 0.8693, + "step": 8540 + }, + { + "epoch": 1.03, + "grad_norm": 0.20430710911750793, + "learning_rate": 0.00024347519017247995, + "loss": 0.9157, + "step": 8545 + }, + { + "epoch": 1.03, + "grad_norm": 0.2538154721260071, + "learning_rate": 0.00024339468813861336, + "loss": 0.8323, + "step": 8550 + }, + { + "epoch": 1.03, + "grad_norm": 0.2316758930683136, + "learning_rate": 0.000243314142150105, + "loss": 0.8574, + "step": 8555 + }, + { + "epoch": 1.03, + "grad_norm": 0.239527627825737, + "learning_rate": 0.0002432335522448625, + "loss": 0.9551, + "step": 8560 + }, + { + "epoch": 1.03, + "grad_norm": 0.21243155002593994, + "learning_rate": 0.00024315291846081406, + "loss": 0.9939, + "step": 8565 + }, + { + "epoch": 1.03, + "grad_norm": 0.23001927137374878, + "learning_rate": 0.00024307224083590874, + "loss": 0.8392, + "step": 8570 + }, + { + "epoch": 1.03, + "grad_norm": 0.21947364509105682, + "learning_rate": 0.00024299151940811606, + "loss": 0.8661, + "step": 8575 + }, + { + "epoch": 1.03, + "grad_norm": 0.23186787962913513, + "learning_rate": 0.0002429107542154261, + "loss": 0.8679, + "step": 8580 + }, + { + "epoch": 1.03, + "grad_norm": 0.2559497058391571, + "learning_rate": 0.00024282994529584983, + "loss": 0.8598, + "step": 8585 + }, + { + "epoch": 1.04, + "grad_norm": 0.23815637826919556, + "learning_rate": 0.00024274909268741848, + "loss": 0.8349, + "step": 8590 + }, + { + "epoch": 1.04, + "grad_norm": 0.2084992676973343, + "learning_rate": 0.00024266819642818405, + "loss": 0.8345, + "step": 8595 + }, + { + "epoch": 1.04, + "grad_norm": 0.2263403832912445, + "learning_rate": 0.0002425872565562189, + "loss": 0.8879, + "step": 8600 + }, + { + "epoch": 1.04, + "grad_norm": 0.23247919976711273, + "learning_rate": 0.00024250627310961614, + "loss": 0.7877, + "step": 8605 + }, + { + "epoch": 1.04, + "grad_norm": 0.21611854434013367, + "learning_rate": 0.00024242524612648917, + "loss": 0.8724, + "step": 8610 + }, + { + "epoch": 1.04, + "grad_norm": 0.2197057604789734, + "learning_rate": 0.00024234417564497206, + "loss": 0.8138, + "step": 8615 + }, + { + "epoch": 1.04, + "grad_norm": 0.2542968988418579, + "learning_rate": 0.00024226306170321924, + "loss": 0.9583, + "step": 8620 + }, + { + "epoch": 1.04, + "grad_norm": 0.21506857872009277, + "learning_rate": 0.00024218190433940558, + "loss": 0.9456, + "step": 8625 + }, + { + "epoch": 1.04, + "grad_norm": 0.21320503950119019, + "learning_rate": 0.0002421007035917265, + "loss": 0.9033, + "step": 8630 + }, + { + "epoch": 1.04, + "grad_norm": 0.23590131103992462, + "learning_rate": 0.00024201945949839775, + "loss": 0.9297, + "step": 8635 + }, + { + "epoch": 1.04, + "grad_norm": 0.23142153024673462, + "learning_rate": 0.0002419381720976555, + "loss": 0.9025, + "step": 8640 + }, + { + "epoch": 1.04, + "grad_norm": 0.2024351954460144, + "learning_rate": 0.00024185684142775623, + "loss": 0.9095, + "step": 8645 + }, + { + "epoch": 1.04, + "grad_norm": 0.2539699077606201, + "learning_rate": 0.00024177546752697697, + "loss": 0.8968, + "step": 8650 + }, + { + "epoch": 1.04, + "grad_norm": 0.22273805737495422, + "learning_rate": 0.00024169405043361492, + "loss": 0.8366, + "step": 8655 + }, + { + "epoch": 1.04, + "grad_norm": 0.2413063645362854, + "learning_rate": 0.00024161259018598764, + "loss": 0.8781, + "step": 8660 + }, + { + "epoch": 1.04, + "grad_norm": 0.21893925964832306, + "learning_rate": 0.00024153108682243307, + "loss": 0.8827, + "step": 8665 + }, + { + "epoch": 1.04, + "grad_norm": 0.23175576329231262, + "learning_rate": 0.00024144954038130936, + "loss": 0.8959, + "step": 8670 + }, + { + "epoch": 1.05, + "grad_norm": 0.2520297169685364, + "learning_rate": 0.00024136795090099502, + "loss": 0.9922, + "step": 8675 + }, + { + "epoch": 1.05, + "grad_norm": 0.21685057878494263, + "learning_rate": 0.00024128631841988877, + "loss": 0.9727, + "step": 8680 + }, + { + "epoch": 1.05, + "grad_norm": 0.22948361933231354, + "learning_rate": 0.00024120464297640955, + "loss": 0.8525, + "step": 8685 + }, + { + "epoch": 1.05, + "grad_norm": 0.24964188039302826, + "learning_rate": 0.00024112292460899652, + "loss": 0.8168, + "step": 8690 + }, + { + "epoch": 1.05, + "grad_norm": 0.27692463994026184, + "learning_rate": 0.00024104116335610905, + "loss": 0.957, + "step": 8695 + }, + { + "epoch": 1.05, + "grad_norm": 0.24565111100673676, + "learning_rate": 0.00024095935925622675, + "loss": 0.8839, + "step": 8700 + }, + { + "epoch": 1.05, + "grad_norm": 0.20882341265678406, + "learning_rate": 0.00024087751234784933, + "loss": 0.9486, + "step": 8705 + }, + { + "epoch": 1.05, + "grad_norm": 0.23391057550907135, + "learning_rate": 0.0002407956226694966, + "loss": 0.9281, + "step": 8710 + }, + { + "epoch": 1.05, + "grad_norm": 0.2399512678384781, + "learning_rate": 0.00024071369025970867, + "loss": 0.7803, + "step": 8715 + }, + { + "epoch": 1.05, + "grad_norm": 0.21823789179325104, + "learning_rate": 0.00024063171515704556, + "loss": 0.8684, + "step": 8720 + }, + { + "epoch": 1.05, + "grad_norm": 0.21568119525909424, + "learning_rate": 0.0002405496974000875, + "loss": 0.7765, + "step": 8725 + }, + { + "epoch": 1.05, + "grad_norm": 0.2163381576538086, + "learning_rate": 0.00024046763702743478, + "loss": 0.8652, + "step": 8730 + }, + { + "epoch": 1.05, + "grad_norm": 0.22184047102928162, + "learning_rate": 0.00024038553407770778, + "loss": 0.8446, + "step": 8735 + }, + { + "epoch": 1.05, + "grad_norm": 0.22127588093280792, + "learning_rate": 0.00024030338858954678, + "loss": 0.8153, + "step": 8740 + }, + { + "epoch": 1.05, + "grad_norm": 0.25217580795288086, + "learning_rate": 0.0002402212006016123, + "loss": 0.8407, + "step": 8745 + }, + { + "epoch": 1.05, + "grad_norm": 0.22362253069877625, + "learning_rate": 0.0002401389701525846, + "loss": 0.7756, + "step": 8750 + }, + { + "epoch": 1.05, + "grad_norm": 0.2407907396554947, + "learning_rate": 0.00024005669728116417, + "loss": 0.8441, + "step": 8755 + }, + { + "epoch": 1.06, + "grad_norm": 0.23379315435886383, + "learning_rate": 0.00023997438202607124, + "loss": 0.8697, + "step": 8760 + }, + { + "epoch": 1.06, + "grad_norm": 0.23524151742458344, + "learning_rate": 0.00023989202442604621, + "loss": 0.9377, + "step": 8765 + }, + { + "epoch": 1.06, + "grad_norm": 0.22088152170181274, + "learning_rate": 0.00023980962451984928, + "loss": 0.8814, + "step": 8770 + }, + { + "epoch": 1.06, + "grad_norm": 0.24777436256408691, + "learning_rate": 0.00023972718234626056, + "loss": 0.7183, + "step": 8775 + }, + { + "epoch": 1.06, + "grad_norm": 0.22386722266674042, + "learning_rate": 0.00023964469794408006, + "loss": 0.9437, + "step": 8780 + }, + { + "epoch": 1.06, + "grad_norm": 0.2572818100452423, + "learning_rate": 0.0002395621713521277, + "loss": 0.9118, + "step": 8785 + }, + { + "epoch": 1.06, + "grad_norm": 0.23130157589912415, + "learning_rate": 0.00023947960260924326, + "loss": 0.8401, + "step": 8790 + }, + { + "epoch": 1.06, + "grad_norm": 0.26878032088279724, + "learning_rate": 0.0002393969917542863, + "loss": 0.9485, + "step": 8795 + }, + { + "epoch": 1.06, + "grad_norm": 0.21913166344165802, + "learning_rate": 0.00023931433882613617, + "loss": 0.8719, + "step": 8800 + }, + { + "epoch": 1.06, + "grad_norm": 0.2042398601770401, + "learning_rate": 0.00023923164386369225, + "loss": 0.8471, + "step": 8805 + }, + { + "epoch": 1.06, + "grad_norm": NaN, + "learning_rate": 0.00023916545765519838, + "loss": 1.0099, + "step": 8810 + }, + { + "epoch": 1.06, + "grad_norm": 0.2109871208667755, + "learning_rate": 0.0002390826871291146, + "loss": 0.9514, + "step": 8815 + }, + { + "epoch": 1.06, + "grad_norm": 0.24620996415615082, + "learning_rate": 0.00023899987467775985, + "loss": 0.794, + "step": 8820 + }, + { + "epoch": 1.06, + "grad_norm": 0.21983186900615692, + "learning_rate": 0.00023891702034010856, + "loss": 0.8971, + "step": 8825 + }, + { + "epoch": 1.06, + "grad_norm": 0.23902229964733124, + "learning_rate": 0.00023883412415515458, + "loss": 0.874, + "step": 8830 + }, + { + "epoch": 1.06, + "grad_norm": 0.2428964078426361, + "learning_rate": 0.0002387511861619117, + "loss": 0.9071, + "step": 8835 + }, + { + "epoch": 1.07, + "grad_norm": 0.22053857147693634, + "learning_rate": 0.00023866820639941328, + "loss": 0.8574, + "step": 8840 + }, + { + "epoch": 1.07, + "grad_norm": 0.20824211835861206, + "learning_rate": 0.0002385851849067124, + "loss": 0.9146, + "step": 8845 + }, + { + "epoch": 1.07, + "grad_norm": 0.21827155351638794, + "learning_rate": 0.0002385021217228816, + "loss": 0.8853, + "step": 8850 + }, + { + "epoch": 1.07, + "grad_norm": 0.24931156635284424, + "learning_rate": 0.0002384190168870133, + "loss": 0.8394, + "step": 8855 + }, + { + "epoch": 1.07, + "grad_norm": 0.23989886045455933, + "learning_rate": 0.00023833587043821933, + "loss": 0.8461, + "step": 8860 + }, + { + "epoch": 1.07, + "grad_norm": 0.25101611018180847, + "learning_rate": 0.00023825268241563121, + "loss": 0.8247, + "step": 8865 + }, + { + "epoch": 1.07, + "grad_norm": 0.22489690780639648, + "learning_rate": 0.00023816945285839994, + "loss": 0.918, + "step": 8870 + }, + { + "epoch": 1.07, + "grad_norm": 0.22989100217819214, + "learning_rate": 0.00023808618180569613, + "loss": 0.8747, + "step": 8875 + }, + { + "epoch": 1.07, + "grad_norm": 0.22614827752113342, + "learning_rate": 0.00023800286929670996, + "loss": 0.8885, + "step": 8880 + }, + { + "epoch": 1.07, + "grad_norm": 0.213409423828125, + "learning_rate": 0.00023791951537065098, + "loss": 0.9846, + "step": 8885 + }, + { + "epoch": 1.07, + "grad_norm": 0.22785250842571259, + "learning_rate": 0.00023783612006674835, + "loss": 0.9043, + "step": 8890 + }, + { + "epoch": 1.07, + "grad_norm": 0.2558668553829193, + "learning_rate": 0.00023775268342425071, + "loss": 0.8575, + "step": 8895 + }, + { + "epoch": 1.07, + "grad_norm": 0.2358073592185974, + "learning_rate": 0.00023766920548242597, + "loss": 0.8788, + "step": 8900 + }, + { + "epoch": 1.07, + "grad_norm": 0.2330961525440216, + "learning_rate": 0.00023758568628056185, + "loss": 0.8552, + "step": 8905 + }, + { + "epoch": 1.07, + "grad_norm": 0.26288071274757385, + "learning_rate": 0.00023750212585796506, + "loss": 0.9431, + "step": 8910 + }, + { + "epoch": 1.07, + "grad_norm": 0.22953157126903534, + "learning_rate": 0.000237418524253962, + "loss": 0.8415, + "step": 8915 + }, + { + "epoch": 1.07, + "grad_norm": 0.23770654201507568, + "learning_rate": 0.00023733488150789832, + "loss": 0.9387, + "step": 8920 + }, + { + "epoch": 1.08, + "grad_norm": 0.24671205878257751, + "learning_rate": 0.00023725119765913915, + "loss": 0.8804, + "step": 8925 + }, + { + "epoch": 1.08, + "grad_norm": 0.2374102622270584, + "learning_rate": 0.00023716747274706886, + "loss": 1.0063, + "step": 8930 + }, + { + "epoch": 1.08, + "grad_norm": 0.24478651583194733, + "learning_rate": 0.0002370837068110911, + "loss": 0.9604, + "step": 8935 + }, + { + "epoch": 1.08, + "grad_norm": 0.22993561625480652, + "learning_rate": 0.00023699989989062892, + "loss": 0.861, + "step": 8940 + }, + { + "epoch": 1.08, + "grad_norm": 0.2684665620326996, + "learning_rate": 0.0002369160520251248, + "loss": 0.8511, + "step": 8945 + }, + { + "epoch": 1.08, + "grad_norm": 0.25119537115097046, + "learning_rate": 0.00023683216325404009, + "loss": 0.8144, + "step": 8950 + }, + { + "epoch": 1.08, + "grad_norm": 0.22731202840805054, + "learning_rate": 0.0002367482336168558, + "loss": 0.8949, + "step": 8955 + }, + { + "epoch": 1.08, + "grad_norm": 0.23801319301128387, + "learning_rate": 0.00023666426315307188, + "loss": 0.9336, + "step": 8960 + }, + { + "epoch": 1.08, + "grad_norm": 0.24626471102237701, + "learning_rate": 0.00023658025190220774, + "loss": 0.8794, + "step": 8965 + }, + { + "epoch": 1.08, + "grad_norm": 0.235481858253479, + "learning_rate": 0.00023649619990380184, + "loss": 0.8264, + "step": 8970 + }, + { + "epoch": 1.08, + "grad_norm": 0.2578223645687103, + "learning_rate": 0.00023641210719741175, + "loss": 0.9651, + "step": 8975 + }, + { + "epoch": 1.08, + "grad_norm": 0.24087263643741608, + "learning_rate": 0.00023632797382261441, + "loss": 0.8688, + "step": 8980 + }, + { + "epoch": 1.08, + "grad_norm": 0.2264793962240219, + "learning_rate": 0.00023624379981900572, + "loss": 0.8988, + "step": 8985 + }, + { + "epoch": 1.08, + "grad_norm": 0.21337303519248962, + "learning_rate": 0.00023615958522620078, + "loss": 0.8212, + "step": 8990 + }, + { + "epoch": 1.08, + "grad_norm": 0.24498280882835388, + "learning_rate": 0.00023607533008383373, + "loss": 0.8061, + "step": 8995 + }, + { + "epoch": 1.08, + "grad_norm": 0.23145338892936707, + "learning_rate": 0.00023599103443155788, + "loss": 0.8282, + "step": 9000 + }, + { + "epoch": 1.09, + "grad_norm": 0.2749665379524231, + "learning_rate": 0.00023590669830904554, + "loss": 0.9067, + "step": 9005 + }, + { + "epoch": 1.09, + "grad_norm": 0.23750852048397064, + "learning_rate": 0.00023582232175598812, + "loss": 0.9132, + "step": 9010 + }, + { + "epoch": 1.09, + "grad_norm": 0.22623078525066376, + "learning_rate": 0.000235737904812096, + "loss": 0.9233, + "step": 9015 + }, + { + "epoch": 1.09, + "grad_norm": 0.24327704310417175, + "learning_rate": 0.00023567034220227885, + "loss": 0.9254, + "step": 9020 + }, + { + "epoch": 1.09, + "grad_norm": 0.23452426493167877, + "learning_rate": 0.00023558585265501518, + "loss": 0.789, + "step": 9025 + }, + { + "epoch": 1.09, + "grad_norm": 0.24461832642555237, + "learning_rate": 0.00023550132282820706, + "loss": 0.9243, + "step": 9030 + }, + { + "epoch": 1.09, + "grad_norm": 0.22294314205646515, + "learning_rate": 0.00023541675276163697, + "loss": 0.8918, + "step": 9035 + }, + { + "epoch": 1.09, + "grad_norm": 0.2230527549982071, + "learning_rate": 0.00023533214249510647, + "loss": 0.8376, + "step": 9040 + }, + { + "epoch": 1.09, + "grad_norm": 0.26348450779914856, + "learning_rate": 0.00023524749206843586, + "loss": 0.9469, + "step": 9045 + }, + { + "epoch": 1.09, + "grad_norm": 0.2523627281188965, + "learning_rate": 0.00023516280152146454, + "loss": 0.881, + "step": 9050 + }, + { + "epoch": 1.09, + "grad_norm": 0.2316828817129135, + "learning_rate": 0.00023507807089405064, + "loss": 0.8915, + "step": 9055 + }, + { + "epoch": 1.09, + "grad_norm": 0.21704962849617004, + "learning_rate": 0.00023499330022607124, + "loss": 0.8677, + "step": 9060 + }, + { + "epoch": 1.09, + "grad_norm": 0.26538321375846863, + "learning_rate": 0.0002349084895574222, + "loss": 0.8538, + "step": 9065 + }, + { + "epoch": 1.09, + "grad_norm": 0.21919500827789307, + "learning_rate": 0.00023482363892801827, + "loss": 0.8222, + "step": 9070 + }, + { + "epoch": 1.09, + "grad_norm": 0.27171579003334045, + "learning_rate": 0.00023473874837779294, + "loss": 0.8996, + "step": 9075 + }, + { + "epoch": 1.09, + "grad_norm": 0.20920461416244507, + "learning_rate": 0.0002346538179466985, + "loss": 0.8708, + "step": 9080 + }, + { + "epoch": 1.09, + "grad_norm": 0.23751945793628693, + "learning_rate": 0.00023456884767470614, + "loss": 0.9058, + "step": 9085 + }, + { + "epoch": 1.1, + "grad_norm": 0.23487117886543274, + "learning_rate": 0.0002344838376018056, + "loss": 0.9029, + "step": 9090 + }, + { + "epoch": 1.1, + "grad_norm": 0.20502355694770813, + "learning_rate": 0.00023439878776800542, + "loss": 0.9057, + "step": 9095 + }, + { + "epoch": 1.1, + "grad_norm": 0.26424431800842285, + "learning_rate": 0.00023431369821333293, + "loss": 0.9132, + "step": 9100 + }, + { + "epoch": 1.1, + "grad_norm": 0.2559512257575989, + "learning_rate": 0.00023422856897783412, + "loss": 0.8964, + "step": 9105 + }, + { + "epoch": 1.1, + "grad_norm": 0.21677064895629883, + "learning_rate": 0.0002341434001015736, + "loss": 0.851, + "step": 9110 + }, + { + "epoch": 1.1, + "grad_norm": 0.2509647607803345, + "learning_rate": 0.00023405819162463466, + "loss": 0.8652, + "step": 9115 + }, + { + "epoch": 1.1, + "grad_norm": 0.20928482711315155, + "learning_rate": 0.00023397294358711924, + "loss": 0.8989, + "step": 9120 + }, + { + "epoch": 1.1, + "grad_norm": 0.2391272932291031, + "learning_rate": 0.00023388765602914792, + "loss": 1.0029, + "step": 9125 + }, + { + "epoch": 1.1, + "grad_norm": 0.21468204259872437, + "learning_rate": 0.0002338023289908599, + "loss": 0.817, + "step": 9130 + }, + { + "epoch": 1.1, + "grad_norm": 0.2177235335111618, + "learning_rate": 0.00023371696251241279, + "loss": 0.8765, + "step": 9135 + }, + { + "epoch": 1.1, + "grad_norm": 0.2142833024263382, + "learning_rate": 0.000233631556633983, + "loss": 0.8559, + "step": 9140 + }, + { + "epoch": 1.1, + "grad_norm": 0.22310085594654083, + "learning_rate": 0.00023354611139576536, + "loss": 0.8448, + "step": 9145 + }, + { + "epoch": 1.1, + "grad_norm": 0.2540875971317291, + "learning_rate": 0.00023346062683797324, + "loss": 0.7871, + "step": 9150 + }, + { + "epoch": 1.1, + "grad_norm": 0.2475668340921402, + "learning_rate": 0.0002333751030008384, + "loss": 0.923, + "step": 9155 + }, + { + "epoch": 1.1, + "grad_norm": 0.24676388502120972, + "learning_rate": 0.0002332895399246114, + "loss": 0.792, + "step": 9160 + }, + { + "epoch": 1.1, + "grad_norm": 0.22518321871757507, + "learning_rate": 0.00023320393764956086, + "loss": 0.8875, + "step": 9165 + }, + { + "epoch": 1.1, + "grad_norm": 0.24502132833003998, + "learning_rate": 0.00023311829621597418, + "loss": 0.9119, + "step": 9170 + }, + { + "epoch": 1.11, + "grad_norm": 0.21606354415416718, + "learning_rate": 0.00023303261566415704, + "loss": 0.908, + "step": 9175 + }, + { + "epoch": 1.11, + "grad_norm": 0.2341851145029068, + "learning_rate": 0.00023294689603443352, + "loss": 0.8705, + "step": 9180 + }, + { + "epoch": 1.11, + "grad_norm": 0.23818925023078918, + "learning_rate": 0.00023286113736714612, + "loss": 0.9589, + "step": 9185 + }, + { + "epoch": 1.11, + "grad_norm": 0.2910539507865906, + "learning_rate": 0.0002327753397026558, + "loss": 0.8729, + "step": 9190 + }, + { + "epoch": 1.11, + "grad_norm": 0.24293243885040283, + "learning_rate": 0.0002326895030813417, + "loss": 0.8785, + "step": 9195 + }, + { + "epoch": 1.11, + "grad_norm": 0.22408191859722137, + "learning_rate": 0.0002326036275436014, + "loss": 0.8641, + "step": 9200 + }, + { + "epoch": 1.11, + "grad_norm": 0.2291467785835266, + "learning_rate": 0.00023251771312985084, + "loss": 0.8185, + "step": 9205 + }, + { + "epoch": 1.11, + "grad_norm": 0.24368716776371002, + "learning_rate": 0.0002324317598805241, + "loss": 0.8201, + "step": 9210 + }, + { + "epoch": 1.11, + "grad_norm": 0.24222686886787415, + "learning_rate": 0.00023234576783607373, + "loss": 0.9468, + "step": 9215 + }, + { + "epoch": 1.11, + "grad_norm": 0.23429812490940094, + "learning_rate": 0.00023225973703697037, + "loss": 0.9275, + "step": 9220 + }, + { + "epoch": 1.11, + "grad_norm": 0.23759447038173676, + "learning_rate": 0.000232173667523703, + "loss": 0.8471, + "step": 9225 + }, + { + "epoch": 1.11, + "grad_norm": 0.2510417401790619, + "learning_rate": 0.00023208755933677881, + "loss": 0.8939, + "step": 9230 + }, + { + "epoch": 1.11, + "grad_norm": 0.23719042539596558, + "learning_rate": 0.00023200141251672314, + "loss": 0.8509, + "step": 9235 + }, + { + "epoch": 1.11, + "grad_norm": 0.21512798964977264, + "learning_rate": 0.0002319152271040796, + "loss": 0.8789, + "step": 9240 + }, + { + "epoch": 1.11, + "grad_norm": 0.2508089542388916, + "learning_rate": 0.00023182900313940979, + "loss": 0.8954, + "step": 9245 + }, + { + "epoch": 1.11, + "grad_norm": 0.22558368742465973, + "learning_rate": 0.00023174274066329367, + "loss": 0.9115, + "step": 9250 + }, + { + "epoch": 1.12, + "grad_norm": 0.2333495169878006, + "learning_rate": 0.00023165643971632924, + "loss": 0.9437, + "step": 9255 + }, + { + "epoch": 1.12, + "grad_norm": 0.27782970666885376, + "learning_rate": 0.00023157010033913252, + "loss": 0.9699, + "step": 9260 + }, + { + "epoch": 1.12, + "grad_norm": 0.2564479410648346, + "learning_rate": 0.0002314837225723377, + "loss": 0.8747, + "step": 9265 + }, + { + "epoch": 1.12, + "grad_norm": 0.2404770702123642, + "learning_rate": 0.0002313973064565971, + "loss": 0.891, + "step": 9270 + }, + { + "epoch": 1.12, + "grad_norm": 0.22722746431827545, + "learning_rate": 0.00023131085203258092, + "loss": 0.8386, + "step": 9275 + }, + { + "epoch": 1.12, + "grad_norm": 0.21286796033382416, + "learning_rate": 0.00023122435934097755, + "loss": 0.9262, + "step": 9280 + }, + { + "epoch": 1.12, + "grad_norm": 0.22385799884796143, + "learning_rate": 0.00023113782842249328, + "loss": 0.857, + "step": 9285 + }, + { + "epoch": 1.12, + "grad_norm": 0.222075417637825, + "learning_rate": 0.00023105125931785245, + "loss": 0.894, + "step": 9290 + }, + { + "epoch": 1.12, + "grad_norm": 0.23088407516479492, + "learning_rate": 0.00023096465206779736, + "loss": 0.8705, + "step": 9295 + }, + { + "epoch": 1.12, + "grad_norm": 0.2188183218240738, + "learning_rate": 0.00023087800671308826, + "loss": 0.8935, + "step": 9300 + }, + { + "epoch": 1.12, + "grad_norm": 0.2047409862279892, + "learning_rate": 0.0002307913232945033, + "loss": 0.8515, + "step": 9305 + }, + { + "epoch": 1.12, + "grad_norm": 0.23035292327404022, + "learning_rate": 0.00023070460185283862, + "loss": 0.9546, + "step": 9310 + }, + { + "epoch": 1.12, + "grad_norm": 0.2521415054798126, + "learning_rate": 0.00023061784242890817, + "loss": 0.8708, + "step": 9315 + }, + { + "epoch": 1.12, + "grad_norm": 0.2409847378730774, + "learning_rate": 0.00023053104506354387, + "loss": 0.857, + "step": 9320 + }, + { + "epoch": 1.12, + "grad_norm": 0.31675606966018677, + "learning_rate": 0.0002304442097975954, + "loss": 0.9459, + "step": 9325 + }, + { + "epoch": 1.12, + "grad_norm": 0.30147692561149597, + "learning_rate": 0.00023035733667193034, + "loss": 0.8456, + "step": 9330 + }, + { + "epoch": 1.12, + "grad_norm": 0.24489833414554596, + "learning_rate": 0.00023027042572743405, + "loss": 0.8259, + "step": 9335 + }, + { + "epoch": 1.13, + "grad_norm": 0.2613428831100464, + "learning_rate": 0.00023018347700500973, + "loss": 1.0109, + "step": 9340 + }, + { + "epoch": 1.13, + "grad_norm": 0.24886786937713623, + "learning_rate": 0.00023009649054557828, + "loss": 0.8927, + "step": 9345 + }, + { + "epoch": 1.13, + "grad_norm": 0.2450346052646637, + "learning_rate": 0.00023000946639007848, + "loss": 0.9878, + "step": 9350 + }, + { + "epoch": 1.13, + "grad_norm": 0.2285212278366089, + "learning_rate": 0.00022992240457946674, + "loss": 0.8819, + "step": 9355 + }, + { + "epoch": 1.13, + "grad_norm": 0.22266454994678497, + "learning_rate": 0.00022983530515471732, + "loss": 0.8673, + "step": 9360 + }, + { + "epoch": 1.13, + "grad_norm": 0.228920578956604, + "learning_rate": 0.000229748168156822, + "loss": 0.9104, + "step": 9365 + }, + { + "epoch": 1.13, + "grad_norm": 0.22747859358787537, + "learning_rate": 0.00022966099362679038, + "loss": 0.8806, + "step": 9370 + }, + { + "epoch": 1.13, + "grad_norm": 0.24505122005939484, + "learning_rate": 0.00022957378160564973, + "loss": 0.9054, + "step": 9375 + }, + { + "epoch": 1.13, + "grad_norm": 0.22118686139583588, + "learning_rate": 0.00022948653213444487, + "loss": 0.8939, + "step": 9380 + }, + { + "epoch": 1.13, + "grad_norm": 0.21411919593811035, + "learning_rate": 0.00022939924525423834, + "loss": 0.9658, + "step": 9385 + }, + { + "epoch": 1.13, + "grad_norm": 0.25308582186698914, + "learning_rate": 0.00022931192100611022, + "loss": 0.9179, + "step": 9390 + }, + { + "epoch": 1.13, + "grad_norm": 0.24361754953861237, + "learning_rate": 0.0002292245594311582, + "loss": 0.95, + "step": 9395 + }, + { + "epoch": 1.13, + "grad_norm": 0.23733997344970703, + "learning_rate": 0.00022913716057049757, + "loss": 0.8376, + "step": 9400 + }, + { + "epoch": 1.13, + "grad_norm": 0.23433391749858856, + "learning_rate": 0.0002290497244652611, + "loss": 0.9291, + "step": 9405 + }, + { + "epoch": 1.13, + "grad_norm": 0.22158537805080414, + "learning_rate": 0.00022896225115659913, + "loss": 0.8927, + "step": 9410 + }, + { + "epoch": 1.13, + "grad_norm": 0.21899032592773438, + "learning_rate": 0.00022887474068567952, + "loss": 0.8168, + "step": 9415 + }, + { + "epoch": 1.14, + "grad_norm": 0.23201830685138702, + "learning_rate": 0.0002287871930936876, + "loss": 0.9301, + "step": 9420 + }, + { + "epoch": 1.14, + "grad_norm": 0.22301717102527618, + "learning_rate": 0.00022869960842182614, + "loss": 0.8611, + "step": 9425 + }, + { + "epoch": 1.14, + "grad_norm": 0.2502361238002777, + "learning_rate": 0.00022861198671131542, + "loss": 0.9485, + "step": 9430 + }, + { + "epoch": 1.14, + "grad_norm": 0.24774372577667236, + "learning_rate": 0.00022852432800339313, + "loss": 0.8949, + "step": 9435 + }, + { + "epoch": 1.14, + "grad_norm": 0.2235736846923828, + "learning_rate": 0.00022843663233931442, + "loss": 0.8333, + "step": 9440 + }, + { + "epoch": 1.14, + "grad_norm": 0.23626188933849335, + "learning_rate": 0.0002283488997603517, + "loss": 0.8102, + "step": 9445 + }, + { + "epoch": 1.14, + "grad_norm": 0.25719600915908813, + "learning_rate": 0.00022826113030779486, + "loss": 0.8408, + "step": 9450 + }, + { + "epoch": 1.14, + "grad_norm": 0.2473081797361374, + "learning_rate": 0.00022817332402295113, + "loss": 0.81, + "step": 9455 + }, + { + "epoch": 1.14, + "grad_norm": 0.20688697695732117, + "learning_rate": 0.00022808548094714506, + "loss": 0.896, + "step": 9460 + }, + { + "epoch": 1.14, + "grad_norm": 0.26973938941955566, + "learning_rate": 0.0002279976011217185, + "loss": 0.878, + "step": 9465 + }, + { + "epoch": 1.14, + "grad_norm": 0.24812696874141693, + "learning_rate": 0.00022790968458803065, + "loss": 0.7833, + "step": 9470 + }, + { + "epoch": 1.14, + "grad_norm": 0.22464975714683533, + "learning_rate": 0.00022782173138745793, + "loss": 0.8938, + "step": 9475 + }, + { + "epoch": 1.14, + "grad_norm": 0.23503178358078003, + "learning_rate": 0.00022773374156139406, + "loss": 0.8603, + "step": 9480 + }, + { + "epoch": 1.14, + "grad_norm": 0.236893430352211, + "learning_rate": 0.00022764571515124994, + "loss": 0.8637, + "step": 9485 + }, + { + "epoch": 1.14, + "grad_norm": 0.24112752079963684, + "learning_rate": 0.00022755765219845372, + "loss": 0.893, + "step": 9490 + }, + { + "epoch": 1.14, + "grad_norm": 0.2311786562204361, + "learning_rate": 0.00022746955274445077, + "loss": 0.8524, + "step": 9495 + }, + { + "epoch": 1.14, + "grad_norm": 0.22384856641292572, + "learning_rate": 0.0002273814168307036, + "loss": 0.8552, + "step": 9500 + }, + { + "epoch": 1.15, + "grad_norm": 0.2306017130613327, + "learning_rate": 0.00022729324449869198, + "loss": 0.9581, + "step": 9505 + }, + { + "epoch": 1.15, + "grad_norm": 0.23824800550937653, + "learning_rate": 0.0002272050357899126, + "loss": 0.8444, + "step": 9510 + }, + { + "epoch": 1.15, + "grad_norm": 0.22070693969726562, + "learning_rate": 0.00022711679074587953, + "loss": 0.9218, + "step": 9515 + }, + { + "epoch": 1.15, + "grad_norm": 0.25660625100135803, + "learning_rate": 0.0002270285094081237, + "loss": 0.9183, + "step": 9520 + }, + { + "epoch": 1.15, + "grad_norm": 0.22683514654636383, + "learning_rate": 0.00022694019181819337, + "loss": 0.8944, + "step": 9525 + }, + { + "epoch": 1.15, + "grad_norm": 0.2356630563735962, + "learning_rate": 0.0002268518380176536, + "loss": 0.86, + "step": 9530 + }, + { + "epoch": 1.15, + "grad_norm": 0.2331274300813675, + "learning_rate": 0.00022676344804808675, + "loss": 0.9143, + "step": 9535 + }, + { + "epoch": 1.15, + "grad_norm": 0.22305701673030853, + "learning_rate": 0.00022667502195109198, + "loss": 0.8527, + "step": 9540 + }, + { + "epoch": 1.15, + "grad_norm": 0.23889246582984924, + "learning_rate": 0.00022658655976828557, + "loss": 0.9313, + "step": 9545 + }, + { + "epoch": 1.15, + "grad_norm": 0.25855275988578796, + "learning_rate": 0.00022649806154130078, + "loss": 0.9187, + "step": 9550 + }, + { + "epoch": 1.15, + "grad_norm": 0.21481330692768097, + "learning_rate": 0.00022640952731178786, + "loss": 0.8408, + "step": 9555 + }, + { + "epoch": 1.15, + "grad_norm": 0.2593211531639099, + "learning_rate": 0.00022632095712141382, + "loss": 0.8638, + "step": 9560 + }, + { + "epoch": 1.15, + "grad_norm": 0.2373592108488083, + "learning_rate": 0.0002262323510118629, + "loss": 0.8963, + "step": 9565 + }, + { + "epoch": 1.15, + "grad_norm": 0.2230243980884552, + "learning_rate": 0.0002261437090248359, + "loss": 0.8791, + "step": 9570 + }, + { + "epoch": 1.15, + "grad_norm": 0.21514588594436646, + "learning_rate": 0.00022605503120205086, + "loss": 0.8647, + "step": 9575 + }, + { + "epoch": 1.15, + "grad_norm": 0.22944727540016174, + "learning_rate": 0.0002259663175852424, + "loss": 0.9185, + "step": 9580 + }, + { + "epoch": 1.15, + "grad_norm": 0.2357485294342041, + "learning_rate": 0.00022587756821616214, + "loss": 0.8481, + "step": 9585 + }, + { + "epoch": 1.16, + "grad_norm": 0.21694447100162506, + "learning_rate": 0.00022578878313657844, + "loss": 0.9085, + "step": 9590 + }, + { + "epoch": 1.16, + "grad_norm": 0.23980222642421722, + "learning_rate": 0.00022569996238827654, + "loss": 0.8727, + "step": 9595 + }, + { + "epoch": 1.16, + "grad_norm": 0.21908119320869446, + "learning_rate": 0.00022561110601305838, + "loss": 0.8425, + "step": 9600 + }, + { + "epoch": 1.16, + "grad_norm": 0.2655925452709198, + "learning_rate": 0.0002255222140527428, + "loss": 0.9436, + "step": 9605 + }, + { + "epoch": 1.16, + "grad_norm": 0.25513389706611633, + "learning_rate": 0.0002254332865491653, + "loss": 0.9691, + "step": 9610 + }, + { + "epoch": 1.16, + "grad_norm": 0.2476007342338562, + "learning_rate": 0.000225344323544178, + "loss": 0.9306, + "step": 9615 + }, + { + "epoch": 1.16, + "grad_norm": 0.2203802466392517, + "learning_rate": 0.00022525532507965004, + "loss": 0.9796, + "step": 9620 + }, + { + "epoch": 1.16, + "grad_norm": 0.21193300187587738, + "learning_rate": 0.0002251662911974669, + "loss": 0.8913, + "step": 9625 + }, + { + "epoch": 1.16, + "grad_norm": 0.21106500923633575, + "learning_rate": 0.0002250772219395309, + "loss": 0.8984, + "step": 9630 + }, + { + "epoch": 1.16, + "grad_norm": 0.24506857991218567, + "learning_rate": 0.00022498811734776103, + "loss": 0.8861, + "step": 9635 + }, + { + "epoch": 1.16, + "grad_norm": 0.22095774114131927, + "learning_rate": 0.0002248989774640929, + "loss": 0.8482, + "step": 9640 + }, + { + "epoch": 1.16, + "grad_norm": 0.24854597449302673, + "learning_rate": 0.0002248098023304786, + "loss": 0.8741, + "step": 9645 + }, + { + "epoch": 1.16, + "grad_norm": 0.22818954288959503, + "learning_rate": 0.00022472059198888698, + "loss": 0.8486, + "step": 9650 + }, + { + "epoch": 1.16, + "grad_norm": 0.24147124588489532, + "learning_rate": 0.0002246313464813034, + "loss": 0.9675, + "step": 9655 + }, + { + "epoch": 1.16, + "grad_norm": 0.22634311020374298, + "learning_rate": 0.00022454206584972971, + "loss": 0.8038, + "step": 9660 + }, + { + "epoch": 1.16, + "grad_norm": 0.23374037444591522, + "learning_rate": 0.00022445275013618444, + "loss": 0.9025, + "step": 9665 + }, + { + "epoch": 1.17, + "grad_norm": 0.22729557752609253, + "learning_rate": 0.00022436339938270236, + "loss": 0.8884, + "step": 9670 + }, + { + "epoch": 1.17, + "grad_norm": 0.24079249799251556, + "learning_rate": 0.00022427401363133502, + "loss": 0.8695, + "step": 9675 + }, + { + "epoch": 1.17, + "grad_norm": 0.22827574610710144, + "learning_rate": 0.0002241845929241503, + "loss": 0.8461, + "step": 9680 + }, + { + "epoch": 1.17, + "grad_norm": 0.22621886432170868, + "learning_rate": 0.00022409513730323256, + "loss": 1.0162, + "step": 9685 + }, + { + "epoch": 1.17, + "grad_norm": 0.24320857226848602, + "learning_rate": 0.00022400564681068264, + "loss": 0.899, + "step": 9690 + }, + { + "epoch": 1.17, + "grad_norm": 0.24638378620147705, + "learning_rate": 0.00022391612148861764, + "loss": 0.8847, + "step": 9695 + }, + { + "epoch": 1.17, + "grad_norm": 0.25771698355674744, + "learning_rate": 0.00022382656137917117, + "loss": 0.9079, + "step": 9700 + }, + { + "epoch": 1.17, + "grad_norm": 0.2110559642314911, + "learning_rate": 0.0002237369665244932, + "loss": 0.9551, + "step": 9705 + }, + { + "epoch": 1.17, + "grad_norm": 0.220799520611763, + "learning_rate": 0.00022364733696675007, + "loss": 0.9265, + "step": 9710 + }, + { + "epoch": 1.17, + "grad_norm": 0.23551765084266663, + "learning_rate": 0.00022355767274812442, + "loss": 0.9568, + "step": 9715 + }, + { + "epoch": 1.17, + "grad_norm": 0.22385844588279724, + "learning_rate": 0.0002234679739108152, + "loss": 0.8029, + "step": 9720 + }, + { + "epoch": 1.17, + "grad_norm": 0.22753435373306274, + "learning_rate": 0.00022337824049703764, + "loss": 0.9675, + "step": 9725 + }, + { + "epoch": 1.17, + "grad_norm": 0.2253807932138443, + "learning_rate": 0.00022328847254902333, + "loss": 0.8846, + "step": 9730 + }, + { + "epoch": 1.17, + "grad_norm": 0.20921418070793152, + "learning_rate": 0.00022319867010901998, + "loss": 0.8575, + "step": 9735 + }, + { + "epoch": 1.17, + "grad_norm": 0.22992300987243652, + "learning_rate": 0.0002231088332192916, + "loss": 0.8715, + "step": 9740 + }, + { + "epoch": 1.17, + "grad_norm": 0.23045524954795837, + "learning_rate": 0.00022301896192211847, + "loss": 0.8612, + "step": 9745 + }, + { + "epoch": 1.17, + "grad_norm": 0.2747400999069214, + "learning_rate": 0.00022292905625979694, + "loss": 0.8996, + "step": 9750 + }, + { + "epoch": 1.18, + "grad_norm": 0.2662562131881714, + "learning_rate": 0.0002228391162746397, + "loss": 0.8955, + "step": 9755 + }, + { + "epoch": 1.18, + "grad_norm": 0.2570030689239502, + "learning_rate": 0.00022274914200897533, + "loss": 0.9389, + "step": 9760 + }, + { + "epoch": 1.18, + "grad_norm": 0.21170185506343842, + "learning_rate": 0.0002226591335051489, + "loss": 0.8996, + "step": 9765 + }, + { + "epoch": 1.18, + "grad_norm": 0.2330474704504013, + "learning_rate": 0.00022256909080552127, + "loss": 0.855, + "step": 9770 + }, + { + "epoch": 1.18, + "grad_norm": 0.23178677260875702, + "learning_rate": 0.00022247901395246956, + "loss": 0.908, + "step": 9775 + }, + { + "epoch": 1.18, + "grad_norm": 0.2605157494544983, + "learning_rate": 0.00022238890298838696, + "loss": 0.9045, + "step": 9780 + }, + { + "epoch": 1.18, + "grad_norm": 0.2496998906135559, + "learning_rate": 0.00022229875795568262, + "loss": 0.8768, + "step": 9785 + }, + { + "epoch": 1.18, + "grad_norm": 0.24557536840438843, + "learning_rate": 0.00022220857889678177, + "loss": 0.8546, + "step": 9790 + }, + { + "epoch": 1.18, + "grad_norm": 0.22727739810943604, + "learning_rate": 0.00022211836585412582, + "loss": 0.8804, + "step": 9795 + }, + { + "epoch": 1.18, + "grad_norm": 0.21401318907737732, + "learning_rate": 0.00022202811887017188, + "loss": 0.8564, + "step": 9800 + }, + { + "epoch": 1.18, + "grad_norm": 0.25362133979797363, + "learning_rate": 0.00022193783798739325, + "loss": 0.925, + "step": 9805 + }, + { + "epoch": 1.18, + "grad_norm": 0.24248819053173065, + "learning_rate": 0.00022184752324827902, + "loss": 0.8071, + "step": 9810 + }, + { + "epoch": 1.18, + "grad_norm": 0.2690879702568054, + "learning_rate": 0.0002217571746953344, + "loss": 0.926, + "step": 9815 + }, + { + "epoch": 1.18, + "grad_norm": 0.24345597624778748, + "learning_rate": 0.00022166679237108037, + "loss": 0.9282, + "step": 9820 + }, + { + "epoch": 1.18, + "grad_norm": 0.26057952642440796, + "learning_rate": 0.0002215763763180539, + "loss": 0.9823, + "step": 9825 + }, + { + "epoch": 1.18, + "grad_norm": 0.23440931737422943, + "learning_rate": 0.00022148592657880768, + "loss": 0.8077, + "step": 9830 + }, + { + "epoch": 1.19, + "grad_norm": 0.258858323097229, + "learning_rate": 0.00022139544319591052, + "loss": 0.8348, + "step": 9835 + }, + { + "epoch": 1.19, + "grad_norm": 0.24155326187610626, + "learning_rate": 0.00022130492621194681, + "loss": 0.854, + "step": 9840 + }, + { + "epoch": 1.19, + "grad_norm": 0.23018091917037964, + "learning_rate": 0.00022121437566951686, + "loss": 1.018, + "step": 9845 + }, + { + "epoch": 1.19, + "grad_norm": 0.21002855896949768, + "learning_rate": 0.00022112379161123673, + "loss": 0.8137, + "step": 9850 + }, + { + "epoch": 1.19, + "grad_norm": 0.28612980246543884, + "learning_rate": 0.00022103317407973837, + "loss": 0.8465, + "step": 9855 + }, + { + "epoch": 1.19, + "grad_norm": 0.20760983228683472, + "learning_rate": 0.00022094252311766929, + "loss": 0.9207, + "step": 9860 + }, + { + "epoch": 1.19, + "grad_norm": 0.23730003833770752, + "learning_rate": 0.00022085183876769293, + "loss": 0.9247, + "step": 9865 + }, + { + "epoch": 1.19, + "grad_norm": 0.2215205430984497, + "learning_rate": 0.00022076112107248833, + "loss": 0.901, + "step": 9870 + }, + { + "epoch": 1.19, + "grad_norm": 0.2527283728122711, + "learning_rate": 0.00022067037007475026, + "loss": 0.9053, + "step": 9875 + }, + { + "epoch": 1.19, + "grad_norm": 0.20407399535179138, + "learning_rate": 0.00022057958581718915, + "loss": 0.9464, + "step": 9880 + }, + { + "epoch": 1.19, + "grad_norm": 0.23334871232509613, + "learning_rate": 0.00022048876834253103, + "loss": 0.8626, + "step": 9885 + }, + { + "epoch": 1.19, + "grad_norm": 0.22306807339191437, + "learning_rate": 0.00022039791769351772, + "loss": 0.8706, + "step": 9890 + }, + { + "epoch": 1.19, + "grad_norm": 0.21715085208415985, + "learning_rate": 0.00022030703391290646, + "loss": 0.847, + "step": 9895 + }, + { + "epoch": 1.19, + "grad_norm": 0.24487926065921783, + "learning_rate": 0.00022021611704347026, + "loss": 0.9132, + "step": 9900 + }, + { + "epoch": 1.19, + "grad_norm": 0.24505330622196198, + "learning_rate": 0.00022012516712799756, + "loss": 0.9286, + "step": 9905 + }, + { + "epoch": 1.19, + "grad_norm": 0.2754554748535156, + "learning_rate": 0.00022003418420929243, + "loss": 0.885, + "step": 9910 + }, + { + "epoch": 1.19, + "grad_norm": 0.2651885449886322, + "learning_rate": 0.00021994316833017443, + "loss": 0.9331, + "step": 9915 + }, + { + "epoch": 1.2, + "grad_norm": 0.25558674335479736, + "learning_rate": 0.00021987033192416743, + "loss": 1.0044, + "step": 9920 + }, + { + "epoch": 1.2, + "grad_norm": 0.2470509111881256, + "learning_rate": 0.00021977925682426118, + "loss": 0.8667, + "step": 9925 + }, + { + "epoch": 1.2, + "grad_norm": 0.22508101165294647, + "learning_rate": 0.00021968814888391935, + "loss": 0.9218, + "step": 9930 + }, + { + "epoch": 1.2, + "grad_norm": 0.22299574315547943, + "learning_rate": 0.00021959700814602035, + "loss": 0.9041, + "step": 9935 + }, + { + "epoch": 1.2, + "grad_norm": 0.25101420283317566, + "learning_rate": 0.0002195058346534581, + "loss": 0.8797, + "step": 9940 + }, + { + "epoch": 1.2, + "grad_norm": 0.23478543758392334, + "learning_rate": 0.00021941462844914182, + "loss": 0.9141, + "step": 9945 + }, + { + "epoch": 1.2, + "grad_norm": 0.25883424282073975, + "learning_rate": 0.00021932338957599625, + "loss": 0.9015, + "step": 9950 + }, + { + "epoch": 1.2, + "grad_norm": 0.22861811518669128, + "learning_rate": 0.00021923211807696133, + "loss": 0.8923, + "step": 9955 + }, + { + "epoch": 1.2, + "grad_norm": 0.24520093202590942, + "learning_rate": 0.00021914081399499258, + "loss": 0.8958, + "step": 9960 + }, + { + "epoch": 1.2, + "grad_norm": 0.23438018560409546, + "learning_rate": 0.00021904947737306065, + "loss": 1.023, + "step": 9965 + }, + { + "epoch": 1.2, + "grad_norm": 0.24439287185668945, + "learning_rate": 0.0002189581082541516, + "loss": 0.9076, + "step": 9970 + }, + { + "epoch": 1.2, + "grad_norm": 0.23474149405956268, + "learning_rate": 0.00021886670668126674, + "loss": 0.8026, + "step": 9975 + }, + { + "epoch": 1.2, + "grad_norm": 0.25041329860687256, + "learning_rate": 0.00021877527269742277, + "loss": 0.9282, + "step": 9980 + }, + { + "epoch": 1.2, + "grad_norm": 0.2247781604528427, + "learning_rate": 0.00021868380634565147, + "loss": 0.907, + "step": 9985 + }, + { + "epoch": 1.2, + "grad_norm": 0.22819451987743378, + "learning_rate": 0.00021859230766900004, + "loss": 0.8245, + "step": 9990 + }, + { + "epoch": 1.2, + "grad_norm": 0.2385624200105667, + "learning_rate": 0.00021850077671053072, + "loss": 0.9177, + "step": 9995 + }, + { + "epoch": 1.2, + "grad_norm": 0.21760748326778412, + "learning_rate": 0.00021840921351332107, + "loss": 0.8566, + "step": 10000 + }, + { + "epoch": 1.21, + "grad_norm": 0.22546535730361938, + "learning_rate": 0.00021831761812046363, + "loss": 0.8671, + "step": 10005 + }, + { + "epoch": 1.21, + "grad_norm": 0.2704804539680481, + "learning_rate": 0.00021822599057506648, + "loss": 0.8348, + "step": 10010 + }, + { + "epoch": 1.21, + "grad_norm": 0.2751447558403015, + "learning_rate": 0.00021813433092025236, + "loss": 0.9228, + "step": 10015 + }, + { + "epoch": 1.21, + "grad_norm": 0.241837278008461, + "learning_rate": 0.00021804263919915947, + "loss": 0.9471, + "step": 10020 + }, + { + "epoch": 1.21, + "grad_norm": 0.24710319936275482, + "learning_rate": 0.00021795091545494092, + "loss": 0.959, + "step": 10025 + }, + { + "epoch": 1.21, + "grad_norm": 0.2651970684528351, + "learning_rate": 0.000217859159730765, + "loss": 0.8134, + "step": 10030 + }, + { + "epoch": 1.21, + "grad_norm": 0.2539055347442627, + "learning_rate": 0.00021776737206981498, + "loss": 0.9223, + "step": 10035 + }, + { + "epoch": 1.21, + "grad_norm": 0.31177031993865967, + "learning_rate": 0.0002176755525152892, + "loss": 0.9064, + "step": 10040 + }, + { + "epoch": 1.21, + "grad_norm": 0.22030460834503174, + "learning_rate": 0.00021758370111040094, + "loss": 0.8532, + "step": 10045 + }, + { + "epoch": 1.21, + "grad_norm": 0.2701607346534729, + "learning_rate": 0.00021749181789837858, + "loss": 0.8357, + "step": 10050 + }, + { + "epoch": 1.21, + "grad_norm": 0.24372340738773346, + "learning_rate": 0.00021739990292246535, + "loss": 0.929, + "step": 10055 + }, + { + "epoch": 1.21, + "grad_norm": 0.26125940680503845, + "learning_rate": 0.00021730795622591952, + "loss": 0.9623, + "step": 10060 + }, + { + "epoch": 1.21, + "grad_norm": 0.23417995870113373, + "learning_rate": 0.00021721597785201427, + "loss": 0.7909, + "step": 10065 + }, + { + "epoch": 1.21, + "grad_norm": 0.22926466166973114, + "learning_rate": 0.00021712396784403772, + "loss": 0.8785, + "step": 10070 + }, + { + "epoch": 1.21, + "grad_norm": 0.24475359916687012, + "learning_rate": 0.00021703192624529272, + "loss": 0.902, + "step": 10075 + }, + { + "epoch": 1.21, + "grad_norm": 0.2308359593153, + "learning_rate": 0.0002169398530990972, + "loss": 0.9083, + "step": 10080 + }, + { + "epoch": 1.22, + "grad_norm": 0.27559104561805725, + "learning_rate": 0.00021684774844878376, + "loss": 0.8948, + "step": 10085 + }, + { + "epoch": 1.22, + "grad_norm": 0.22297874093055725, + "learning_rate": 0.0002167556123377, + "loss": 0.8743, + "step": 10090 + }, + { + "epoch": 1.22, + "grad_norm": 0.25241953134536743, + "learning_rate": 0.00021666344480920818, + "loss": 0.8831, + "step": 10095 + }, + { + "epoch": 1.22, + "grad_norm": 0.2630932033061981, + "learning_rate": 0.0002165712459066854, + "loss": 0.8839, + "step": 10100 + }, + { + "epoch": 1.22, + "grad_norm": 0.24986648559570312, + "learning_rate": 0.00021647901567352357, + "loss": 0.9109, + "step": 10105 + }, + { + "epoch": 1.22, + "grad_norm": 0.24380378425121307, + "learning_rate": 0.00021638675415312924, + "loss": 0.9033, + "step": 10110 + }, + { + "epoch": 1.22, + "grad_norm": 0.22641584277153015, + "learning_rate": 0.00021629446138892377, + "loss": 0.9176, + "step": 10115 + }, + { + "epoch": 1.22, + "grad_norm": 0.2435508668422699, + "learning_rate": 0.0002162021374243432, + "loss": 0.8718, + "step": 10120 + }, + { + "epoch": 1.22, + "grad_norm": 0.25140294432640076, + "learning_rate": 0.00021610978230283823, + "loss": 0.9289, + "step": 10125 + }, + { + "epoch": 1.22, + "grad_norm": 0.23567943274974823, + "learning_rate": 0.0002160173960678743, + "loss": 0.8465, + "step": 10130 + }, + { + "epoch": 1.22, + "grad_norm": 0.2589253783226013, + "learning_rate": 0.00021592497876293137, + "loss": 0.9386, + "step": 10135 + }, + { + "epoch": 1.22, + "grad_norm": 0.2508923411369324, + "learning_rate": 0.0002158325304315042, + "loss": 0.8488, + "step": 10140 + }, + { + "epoch": 1.22, + "grad_norm": 0.2547130584716797, + "learning_rate": 0.00021574005111710192, + "loss": 0.8462, + "step": 10145 + }, + { + "epoch": 1.22, + "grad_norm": 0.22627414762973785, + "learning_rate": 0.00021564754086324844, + "loss": 0.8633, + "step": 10150 + }, + { + "epoch": 1.22, + "grad_norm": 0.21264758706092834, + "learning_rate": 0.00021555499971348215, + "loss": 0.8839, + "step": 10155 + }, + { + "epoch": 1.22, + "grad_norm": 0.21670518815517426, + "learning_rate": 0.00021546242771135597, + "loss": 0.8753, + "step": 10160 + }, + { + "epoch": 1.22, + "grad_norm": 0.21713611483573914, + "learning_rate": 0.0002153698249004374, + "loss": 0.838, + "step": 10165 + }, + { + "epoch": 1.23, + "grad_norm": 0.20740459859371185, + "learning_rate": 0.00021527719132430833, + "loss": 0.9157, + "step": 10170 + }, + { + "epoch": 1.23, + "grad_norm": 0.23185713589191437, + "learning_rate": 0.00021518452702656528, + "loss": 0.8678, + "step": 10175 + }, + { + "epoch": 1.23, + "grad_norm": 0.24864669144153595, + "learning_rate": 0.00021509183205081905, + "loss": 0.8134, + "step": 10180 + }, + { + "epoch": 1.23, + "grad_norm": 0.21126706898212433, + "learning_rate": 0.00021499910644069502, + "loss": 0.8509, + "step": 10185 + }, + { + "epoch": 1.23, + "grad_norm": 0.21727898716926575, + "learning_rate": 0.000214906350239833, + "loss": 0.8654, + "step": 10190 + }, + { + "epoch": 1.23, + "grad_norm": 0.2389363795518875, + "learning_rate": 0.00021481356349188705, + "loss": 0.8315, + "step": 10195 + }, + { + "epoch": 1.23, + "grad_norm": 0.22045078873634338, + "learning_rate": 0.00021472074624052573, + "loss": 0.851, + "step": 10200 + }, + { + "epoch": 1.23, + "grad_norm": 0.22910571098327637, + "learning_rate": 0.0002146278985294319, + "loss": 0.9826, + "step": 10205 + }, + { + "epoch": 1.23, + "grad_norm": 0.2421579509973526, + "learning_rate": 0.0002145350204023028, + "loss": 0.8577, + "step": 10210 + }, + { + "epoch": 1.23, + "grad_norm": 0.2479030340909958, + "learning_rate": 0.00021444211190285001, + "loss": 0.9059, + "step": 10215 + }, + { + "epoch": 1.23, + "grad_norm": 0.22180233895778656, + "learning_rate": 0.00021434917307479927, + "loss": 0.9248, + "step": 10220 + }, + { + "epoch": 1.23, + "grad_norm": 0.23422615230083466, + "learning_rate": 0.00021425620396189071, + "loss": 0.8011, + "step": 10225 + }, + { + "epoch": 1.23, + "grad_norm": 0.23456484079360962, + "learning_rate": 0.0002141632046078787, + "loss": 0.8772, + "step": 10230 + }, + { + "epoch": 1.23, + "grad_norm": 0.24434050917625427, + "learning_rate": 0.00021407017505653176, + "loss": 0.8983, + "step": 10235 + }, + { + "epoch": 1.23, + "grad_norm": 0.26233410835266113, + "learning_rate": 0.00021397711535163275, + "loss": 0.7669, + "step": 10240 + }, + { + "epoch": 1.23, + "grad_norm": 0.23086436092853546, + "learning_rate": 0.00021388402553697863, + "loss": 0.85, + "step": 10245 + }, + { + "epoch": 1.24, + "grad_norm": 0.2340136170387268, + "learning_rate": 0.00021379090565638064, + "loss": 0.8472, + "step": 10250 + }, + { + "epoch": 1.24, + "grad_norm": 0.2060890644788742, + "learning_rate": 0.00021369775575366397, + "loss": 0.791, + "step": 10255 + }, + { + "epoch": 1.24, + "grad_norm": 0.22005440294742584, + "learning_rate": 0.00021360457587266812, + "loss": 0.7792, + "step": 10260 + }, + { + "epoch": 1.24, + "grad_norm": 0.220989391207695, + "learning_rate": 0.00021351136605724658, + "loss": 0.9087, + "step": 10265 + }, + { + "epoch": 1.24, + "grad_norm": 0.20939388871192932, + "learning_rate": 0.00021341812635126706, + "loss": 0.8171, + "step": 10270 + }, + { + "epoch": 1.24, + "grad_norm": 0.22090451419353485, + "learning_rate": 0.00021332485679861123, + "loss": 0.831, + "step": 10275 + }, + { + "epoch": 1.24, + "grad_norm": 0.25128301978111267, + "learning_rate": 0.0002132315574431748, + "loss": 0.8665, + "step": 10280 + }, + { + "epoch": 1.24, + "grad_norm": 0.23706404864788055, + "learning_rate": 0.00021313822832886762, + "loss": 0.8653, + "step": 10285 + }, + { + "epoch": 1.24, + "grad_norm": 0.21622657775878906, + "learning_rate": 0.00021304486949961344, + "loss": 0.9074, + "step": 10290 + }, + { + "epoch": 1.24, + "grad_norm": 0.20798739790916443, + "learning_rate": 0.00021295148099935, + "loss": 0.9282, + "step": 10295 + }, + { + "epoch": 1.24, + "grad_norm": 0.226746067404747, + "learning_rate": 0.00021285806287202902, + "loss": 0.8985, + "step": 10300 + }, + { + "epoch": 1.24, + "grad_norm": 0.2492750883102417, + "learning_rate": 0.00021276461516161622, + "loss": 0.8985, + "step": 10305 + }, + { + "epoch": 1.24, + "grad_norm": 0.252853125333786, + "learning_rate": 0.0002126711379120912, + "loss": 0.9173, + "step": 10310 + }, + { + "epoch": 1.24, + "grad_norm": 0.23097646236419678, + "learning_rate": 0.00021257763116744744, + "loss": 0.9335, + "step": 10315 + }, + { + "epoch": 1.24, + "grad_norm": 0.25283390283584595, + "learning_rate": 0.0002124840949716923, + "loss": 0.9115, + "step": 10320 + }, + { + "epoch": 1.24, + "grad_norm": 0.2866900861263275, + "learning_rate": 0.00021239052936884703, + "loss": 0.9016, + "step": 10325 + }, + { + "epoch": 1.24, + "grad_norm": 0.23940923810005188, + "learning_rate": 0.0002122969344029467, + "loss": 0.8282, + "step": 10330 + }, + { + "epoch": 1.25, + "grad_norm": 0.26236215233802795, + "learning_rate": 0.00021220331011804022, + "loss": 0.8244, + "step": 10335 + }, + { + "epoch": 1.25, + "grad_norm": 0.23621851205825806, + "learning_rate": 0.00021210965655819031, + "loss": 0.8655, + "step": 10340 + }, + { + "epoch": 1.25, + "grad_norm": 0.21117086708545685, + "learning_rate": 0.00021201597376747344, + "loss": 0.9017, + "step": 10345 + }, + { + "epoch": 1.25, + "grad_norm": 0.2675582468509674, + "learning_rate": 0.00021192226178997977, + "loss": 0.8432, + "step": 10350 + }, + { + "epoch": 1.25, + "grad_norm": 0.2619032561779022, + "learning_rate": 0.0002118285206698134, + "loss": 0.8931, + "step": 10355 + }, + { + "epoch": 1.25, + "grad_norm": 0.2394731044769287, + "learning_rate": 0.0002117347504510919, + "loss": 0.8431, + "step": 10360 + }, + { + "epoch": 1.25, + "grad_norm": 0.22042964398860931, + "learning_rate": 0.00021164095117794674, + "loss": 0.8538, + "step": 10365 + }, + { + "epoch": 1.25, + "grad_norm": 0.22833536565303802, + "learning_rate": 0.00021154712289452285, + "loss": 0.9355, + "step": 10370 + }, + { + "epoch": 1.25, + "grad_norm": 0.24898435175418854, + "learning_rate": 0.00021145326564497903, + "loss": 0.9127, + "step": 10375 + }, + { + "epoch": 1.25, + "grad_norm": 0.2540437579154968, + "learning_rate": 0.00021135937947348757, + "loss": 0.9235, + "step": 10380 + }, + { + "epoch": 1.25, + "grad_norm": 0.26430103182792664, + "learning_rate": 0.00021126546442423453, + "loss": 0.8293, + "step": 10385 + }, + { + "epoch": 1.25, + "grad_norm": 0.24272888898849487, + "learning_rate": 0.0002111715205414193, + "loss": 0.9249, + "step": 10390 + }, + { + "epoch": 1.25, + "grad_norm": 0.2834715247154236, + "learning_rate": 0.00021107754786925512, + "loss": 0.8638, + "step": 10395 + }, + { + "epoch": 1.25, + "grad_norm": 0.23184886574745178, + "learning_rate": 0.0002109835464519685, + "loss": 0.8379, + "step": 10400 + }, + { + "epoch": 1.25, + "grad_norm": 0.2805626392364502, + "learning_rate": 0.00021088951633379982, + "loss": 0.9148, + "step": 10405 + }, + { + "epoch": 1.25, + "grad_norm": 0.2405596673488617, + "learning_rate": 0.0002107954575590026, + "loss": 0.9326, + "step": 10410 + }, + { + "epoch": 1.25, + "grad_norm": 0.21941906213760376, + "learning_rate": 0.00021070137017184415, + "loss": 0.8786, + "step": 10415 + }, + { + "epoch": 1.26, + "grad_norm": 0.24544595181941986, + "learning_rate": 0.000210607254216605, + "loss": 0.8619, + "step": 10420 + }, + { + "epoch": 1.26, + "grad_norm": 0.22791095077991486, + "learning_rate": 0.00021051310973757936, + "loss": 0.8595, + "step": 10425 + }, + { + "epoch": 1.26, + "grad_norm": 0.2604474127292633, + "learning_rate": 0.00021041893677907473, + "loss": 0.8809, + "step": 10430 + }, + { + "epoch": 1.26, + "grad_norm": 0.22478339076042175, + "learning_rate": 0.00021032473538541195, + "loss": 0.8569, + "step": 10435 + }, + { + "epoch": 1.26, + "grad_norm": 0.25225207209587097, + "learning_rate": 0.0002102305056009254, + "loss": 0.8429, + "step": 10440 + }, + { + "epoch": 1.26, + "grad_norm": 0.24379763007164001, + "learning_rate": 0.00021013624746996272, + "loss": 0.8249, + "step": 10445 + }, + { + "epoch": 1.26, + "grad_norm": 0.22271931171417236, + "learning_rate": 0.00021004196103688487, + "loss": 0.9641, + "step": 10450 + }, + { + "epoch": 1.26, + "grad_norm": 0.2445717453956604, + "learning_rate": 0.00020994764634606628, + "loss": 0.8815, + "step": 10455 + }, + { + "epoch": 1.26, + "grad_norm": 0.22217918932437897, + "learning_rate": 0.0002098533034418945, + "loss": 0.8908, + "step": 10460 + }, + { + "epoch": 1.26, + "grad_norm": 0.24231913685798645, + "learning_rate": 0.00020975893236877048, + "loss": 0.864, + "step": 10465 + }, + { + "epoch": 1.26, + "grad_norm": 0.23367081582546234, + "learning_rate": 0.0002096645331711083, + "loss": 0.8971, + "step": 10470 + }, + { + "epoch": 1.26, + "grad_norm": 0.2660883963108063, + "learning_rate": 0.00020957010589333546, + "loss": 0.8435, + "step": 10475 + }, + { + "epoch": 1.26, + "grad_norm": 0.2160717397928238, + "learning_rate": 0.00020947565057989249, + "loss": 0.8609, + "step": 10480 + }, + { + "epoch": 1.26, + "grad_norm": 0.26367098093032837, + "learning_rate": 0.00020938116727523324, + "loss": 0.9108, + "step": 10485 + }, + { + "epoch": 1.26, + "grad_norm": 0.23195737600326538, + "learning_rate": 0.0002092866560238247, + "loss": 0.8359, + "step": 10490 + }, + { + "epoch": 1.26, + "grad_norm": 0.2410704344511032, + "learning_rate": 0.00020919211687014697, + "loss": 0.8616, + "step": 10495 + }, + { + "epoch": 1.27, + "grad_norm": 0.23946736752986908, + "learning_rate": 0.00020909754985869335, + "loss": 0.7911, + "step": 10500 + }, + { + "epoch": 1.27, + "grad_norm": 0.23445159196853638, + "learning_rate": 0.0002090029550339702, + "loss": 0.8216, + "step": 10505 + }, + { + "epoch": 1.27, + "grad_norm": 0.2318773865699768, + "learning_rate": 0.00020890833244049695, + "loss": 0.7892, + "step": 10510 + }, + { + "epoch": 1.27, + "grad_norm": 0.22648349404335022, + "learning_rate": 0.0002088136821228062, + "loss": 0.9097, + "step": 10515 + }, + { + "epoch": 1.27, + "grad_norm": 0.23851384222507477, + "learning_rate": 0.00020871900412544345, + "loss": 0.8725, + "step": 10520 + }, + { + "epoch": 1.27, + "grad_norm": 0.22477130591869354, + "learning_rate": 0.00020862429849296743, + "loss": 0.8717, + "step": 10525 + }, + { + "epoch": 1.27, + "grad_norm": 0.22048017382621765, + "learning_rate": 0.00020852956526994963, + "loss": 0.8755, + "step": 10530 + }, + { + "epoch": 1.27, + "grad_norm": 0.2534314692020416, + "learning_rate": 0.00020843480450097473, + "loss": 0.8789, + "step": 10535 + }, + { + "epoch": 1.27, + "grad_norm": 0.2241785079240799, + "learning_rate": 0.0002083400162306403, + "loss": 0.818, + "step": 10540 + }, + { + "epoch": 1.27, + "grad_norm": 0.25126171112060547, + "learning_rate": 0.00020824520050355681, + "loss": 0.8867, + "step": 10545 + }, + { + "epoch": 1.27, + "grad_norm": 0.24423153698444366, + "learning_rate": 0.00020815035736434766, + "loss": 0.9067, + "step": 10550 + }, + { + "epoch": 1.27, + "grad_norm": 0.2558138072490692, + "learning_rate": 0.00020805548685764923, + "loss": 0.8161, + "step": 10555 + }, + { + "epoch": 1.27, + "grad_norm": 0.23357480764389038, + "learning_rate": 0.00020796058902811075, + "loss": 0.8864, + "step": 10560 + }, + { + "epoch": 1.27, + "grad_norm": 0.2539251446723938, + "learning_rate": 0.00020786566392039428, + "loss": 0.881, + "step": 10565 + }, + { + "epoch": 1.27, + "grad_norm": 0.2158096432685852, + "learning_rate": 0.00020777071157917468, + "loss": 0.8784, + "step": 10570 + }, + { + "epoch": 1.27, + "grad_norm": 0.22970278561115265, + "learning_rate": 0.0002076757320491397, + "loss": 0.9085, + "step": 10575 + }, + { + "epoch": 1.27, + "grad_norm": 0.2667364776134491, + "learning_rate": 0.00020758072537498985, + "loss": 0.896, + "step": 10580 + }, + { + "epoch": 1.28, + "grad_norm": 0.22878745198249817, + "learning_rate": 0.00020748569160143845, + "loss": 0.9321, + "step": 10585 + }, + { + "epoch": 1.28, + "grad_norm": 0.2596031725406647, + "learning_rate": 0.00020739063077321155, + "loss": 0.9034, + "step": 10590 + }, + { + "epoch": 1.28, + "grad_norm": 0.23091496527194977, + "learning_rate": 0.00020729554293504794, + "loss": 0.9254, + "step": 10595 + }, + { + "epoch": 1.28, + "grad_norm": 0.258047491312027, + "learning_rate": 0.00020720042813169906, + "loss": 0.7867, + "step": 10600 + }, + { + "epoch": 1.28, + "grad_norm": 0.23771882057189941, + "learning_rate": 0.00020710528640792916, + "loss": 0.8768, + "step": 10605 + }, + { + "epoch": 1.28, + "grad_norm": 0.22498424351215363, + "learning_rate": 0.0002070101178085151, + "loss": 0.9163, + "step": 10610 + }, + { + "epoch": 1.28, + "grad_norm": 0.2267744243144989, + "learning_rate": 0.0002069149223782463, + "loss": 0.872, + "step": 10615 + }, + { + "epoch": 1.28, + "grad_norm": 0.23287959396839142, + "learning_rate": 0.00020681970016192495, + "loss": 0.9396, + "step": 10620 + }, + { + "epoch": 1.28, + "grad_norm": 0.23463228344917297, + "learning_rate": 0.00020672445120436582, + "loss": 0.9393, + "step": 10625 + }, + { + "epoch": 1.28, + "grad_norm": 0.24994787573814392, + "learning_rate": 0.00020662917555039616, + "loss": 0.827, + "step": 10630 + }, + { + "epoch": 1.28, + "grad_norm": 0.24779953062534332, + "learning_rate": 0.00020653387324485588, + "loss": 0.9111, + "step": 10635 + }, + { + "epoch": 1.28, + "grad_norm": 0.27712857723236084, + "learning_rate": 0.00020643854433259742, + "loss": 0.9207, + "step": 10640 + }, + { + "epoch": 1.28, + "grad_norm": 0.25297531485557556, + "learning_rate": 0.0002063431888584858, + "loss": 0.7711, + "step": 10645 + }, + { + "epoch": 1.28, + "grad_norm": 0.22088488936424255, + "learning_rate": 0.0002062478068673983, + "loss": 0.8474, + "step": 10650 + }, + { + "epoch": 1.28, + "grad_norm": 0.2587786018848419, + "learning_rate": 0.00020615239840422506, + "loss": 0.9111, + "step": 10655 + }, + { + "epoch": 1.28, + "grad_norm": 0.2736605107784271, + "learning_rate": 0.00020605696351386828, + "loss": 0.9088, + "step": 10660 + }, + { + "epoch": 1.29, + "grad_norm": 0.275921493768692, + "learning_rate": 0.00020596150224124293, + "loss": 0.8737, + "step": 10665 + }, + { + "epoch": 1.29, + "grad_norm": 0.24181650578975677, + "learning_rate": 0.00020586601463127611, + "loss": 0.9555, + "step": 10670 + }, + { + "epoch": 1.29, + "grad_norm": 0.25569936633110046, + "learning_rate": 0.00020577050072890764, + "loss": 0.9392, + "step": 10675 + }, + { + "epoch": 1.29, + "grad_norm": 0.22888949513435364, + "learning_rate": 0.00020567496057908948, + "loss": 0.8406, + "step": 10680 + }, + { + "epoch": 1.29, + "grad_norm": 0.22984679043293, + "learning_rate": 0.0002055793942267859, + "loss": 0.7473, + "step": 10685 + }, + { + "epoch": 1.29, + "grad_norm": 0.21859197318553925, + "learning_rate": 0.00020548380171697366, + "loss": 0.9393, + "step": 10690 + }, + { + "epoch": 1.29, + "grad_norm": 0.23983286321163177, + "learning_rate": 0.00020538818309464178, + "loss": 0.7875, + "step": 10695 + }, + { + "epoch": 1.29, + "grad_norm": 0.23376217484474182, + "learning_rate": 0.00020529253840479155, + "loss": 0.9696, + "step": 10700 + }, + { + "epoch": 1.29, + "grad_norm": 0.2256166785955429, + "learning_rate": 0.00020519686769243653, + "loss": 0.9457, + "step": 10705 + }, + { + "epoch": 1.29, + "grad_norm": 0.24345454573631287, + "learning_rate": 0.00020510117100260255, + "loss": 0.77, + "step": 10710 + }, + { + "epoch": 1.29, + "grad_norm": 0.2544359862804413, + "learning_rate": 0.00020500544838032765, + "loss": 0.895, + "step": 10715 + }, + { + "epoch": 1.29, + "grad_norm": 0.2471429854631424, + "learning_rate": 0.00020490969987066207, + "loss": 0.9008, + "step": 10720 + }, + { + "epoch": 1.29, + "grad_norm": 0.22353385388851166, + "learning_rate": 0.00020481392551866827, + "loss": 0.9069, + "step": 10725 + }, + { + "epoch": 1.29, + "grad_norm": 0.24593974649906158, + "learning_rate": 0.00020471812536942074, + "loss": 1.057, + "step": 10730 + }, + { + "epoch": 1.29, + "grad_norm": 0.2564097046852112, + "learning_rate": 0.00020462229946800634, + "loss": 0.8346, + "step": 10735 + }, + { + "epoch": 1.29, + "grad_norm": 0.22804971039295197, + "learning_rate": 0.0002045264478595238, + "loss": 0.8141, + "step": 10740 + }, + { + "epoch": 1.29, + "grad_norm": 0.25203844904899597, + "learning_rate": 0.00020443057058908417, + "loss": 0.8955, + "step": 10745 + }, + { + "epoch": 1.3, + "grad_norm": 0.24008525907993317, + "learning_rate": 0.0002043346677018104, + "loss": 0.8148, + "step": 10750 + }, + { + "epoch": 1.3, + "grad_norm": 0.27215099334716797, + "learning_rate": 0.00020423873924283763, + "loss": 0.8765, + "step": 10755 + }, + { + "epoch": 1.3, + "grad_norm": 0.2237570732831955, + "learning_rate": 0.000204142785257313, + "loss": 0.9221, + "step": 10760 + }, + { + "epoch": 1.3, + "grad_norm": 0.24160721898078918, + "learning_rate": 0.00020404680579039558, + "loss": 0.8637, + "step": 10765 + }, + { + "epoch": 1.3, + "grad_norm": 0.23897403478622437, + "learning_rate": 0.0002039508008872565, + "loss": 0.7704, + "step": 10770 + }, + { + "epoch": 1.3, + "grad_norm": 0.23746059834957123, + "learning_rate": 0.00020385477059307885, + "loss": 0.8945, + "step": 10775 + }, + { + "epoch": 1.3, + "grad_norm": 0.23488637804985046, + "learning_rate": 0.0002037587149530577, + "loss": 0.8504, + "step": 10780 + }, + { + "epoch": 1.3, + "grad_norm": 0.26902300119400024, + "learning_rate": 0.00020366263401240005, + "loss": 0.8331, + "step": 10785 + }, + { + "epoch": 1.3, + "grad_norm": 0.25453630089759827, + "learning_rate": 0.00020356652781632477, + "loss": 0.913, + "step": 10790 + }, + { + "epoch": 1.3, + "grad_norm": 0.23822472989559174, + "learning_rate": 0.00020347039641006257, + "loss": 0.8158, + "step": 10795 + }, + { + "epoch": 1.3, + "grad_norm": 0.25680580735206604, + "learning_rate": 0.00020337423983885617, + "loss": 0.7857, + "step": 10800 + }, + { + "epoch": 1.3, + "grad_norm": 0.2617832124233246, + "learning_rate": 0.00020327805814795993, + "loss": 0.9449, + "step": 10805 + }, + { + "epoch": 1.3, + "grad_norm": 0.23507827520370483, + "learning_rate": 0.00020318185138264026, + "loss": 0.9813, + "step": 10810 + }, + { + "epoch": 1.3, + "grad_norm": 0.2346469610929489, + "learning_rate": 0.00020308561958817518, + "loss": 0.8555, + "step": 10815 + }, + { + "epoch": 1.3, + "grad_norm": 0.2674165666103363, + "learning_rate": 0.00020298936280985466, + "loss": 0.9193, + "step": 10820 + }, + { + "epoch": 1.3, + "grad_norm": 0.21533791720867157, + "learning_rate": 0.00020289308109298028, + "loss": 0.8939, + "step": 10825 + }, + { + "epoch": 1.3, + "grad_norm": 0.23552724719047546, + "learning_rate": 0.0002027967744828654, + "loss": 0.8654, + "step": 10830 + }, + { + "epoch": 1.31, + "grad_norm": 0.26331043243408203, + "learning_rate": 0.00020270044302483505, + "loss": 0.801, + "step": 10835 + }, + { + "epoch": 1.31, + "grad_norm": 0.240268275141716, + "learning_rate": 0.00020260408676422615, + "loss": 0.7792, + "step": 10840 + }, + { + "epoch": 1.31, + "grad_norm": 0.23092767596244812, + "learning_rate": 0.00020250770574638708, + "loss": 0.9452, + "step": 10845 + }, + { + "epoch": 1.31, + "grad_norm": 0.2468583583831787, + "learning_rate": 0.00020241130001667797, + "loss": 0.8753, + "step": 10850 + }, + { + "epoch": 1.31, + "grad_norm": 0.27682459354400635, + "learning_rate": 0.0002023148696204705, + "loss": 0.8244, + "step": 10855 + }, + { + "epoch": 1.31, + "grad_norm": 0.27396732568740845, + "learning_rate": 0.00020221841460314814, + "loss": 0.8651, + "step": 10860 + }, + { + "epoch": 1.31, + "grad_norm": 0.24095529317855835, + "learning_rate": 0.00020212193501010573, + "loss": 0.8664, + "step": 10865 + }, + { + "epoch": 1.31, + "grad_norm": 0.24401700496673584, + "learning_rate": 0.00020202543088674977, + "loss": 0.8406, + "step": 10870 + }, + { + "epoch": 1.31, + "grad_norm": 0.22764812409877777, + "learning_rate": 0.0002019289022784983, + "loss": 0.9253, + "step": 10875 + }, + { + "epoch": 1.31, + "grad_norm": 0.2579391598701477, + "learning_rate": 0.00020183234923078092, + "loss": 0.9783, + "step": 10880 + }, + { + "epoch": 1.31, + "grad_norm": 0.23062071204185486, + "learning_rate": 0.0002017357717890387, + "loss": 0.8766, + "step": 10885 + }, + { + "epoch": 1.31, + "grad_norm": 0.23495079576969147, + "learning_rate": 0.00020163916999872418, + "loss": 0.8313, + "step": 10890 + }, + { + "epoch": 1.31, + "grad_norm": 0.2631068527698517, + "learning_rate": 0.00020154254390530142, + "loss": 0.9304, + "step": 10895 + }, + { + "epoch": 1.31, + "grad_norm": 0.2535402178764343, + "learning_rate": 0.00020144589355424578, + "loss": 0.8889, + "step": 10900 + }, + { + "epoch": 1.31, + "grad_norm": 0.2067861258983612, + "learning_rate": 0.00020134921899104416, + "loss": 0.8527, + "step": 10905 + }, + { + "epoch": 1.31, + "grad_norm": 0.2404996007680893, + "learning_rate": 0.00020125252026119487, + "loss": 0.8413, + "step": 10910 + }, + { + "epoch": 1.32, + "grad_norm": 0.27104899287223816, + "learning_rate": 0.00020115579741020745, + "loss": 0.8226, + "step": 10915 + }, + { + "epoch": 1.32, + "grad_norm": 0.21938621997833252, + "learning_rate": 0.000201059050483603, + "loss": 0.85, + "step": 10920 + }, + { + "epoch": 1.32, + "grad_norm": 0.2280419021844864, + "learning_rate": 0.00020096227952691366, + "loss": 0.8882, + "step": 10925 + }, + { + "epoch": 1.32, + "grad_norm": 0.23701699078083038, + "learning_rate": 0.00020086548458568326, + "loss": 0.8571, + "step": 10930 + }, + { + "epoch": 1.32, + "grad_norm": 0.22839820384979248, + "learning_rate": 0.00020076866570546662, + "loss": 0.797, + "step": 10935 + }, + { + "epoch": 1.32, + "grad_norm": 0.23596982657909393, + "learning_rate": 0.00020067182293182994, + "loss": 0.9124, + "step": 10940 + }, + { + "epoch": 1.32, + "grad_norm": 0.22004413604736328, + "learning_rate": 0.00020057495631035056, + "loss": 0.9069, + "step": 10945 + }, + { + "epoch": 1.32, + "grad_norm": 0.23677165806293488, + "learning_rate": 0.00020047806588661726, + "loss": 0.8417, + "step": 10950 + }, + { + "epoch": 1.32, + "grad_norm": 0.2435624748468399, + "learning_rate": 0.00020038115170622982, + "loss": 0.7833, + "step": 10955 + }, + { + "epoch": 1.32, + "grad_norm": 0.2496495395898819, + "learning_rate": 0.00020028421381479926, + "loss": 0.8015, + "step": 10960 + }, + { + "epoch": 1.32, + "grad_norm": 0.23711077868938446, + "learning_rate": 0.0002001872522579478, + "loss": 0.8105, + "step": 10965 + }, + { + "epoch": 1.32, + "grad_norm": 0.23245902359485626, + "learning_rate": 0.0002000902670813088, + "loss": 0.973, + "step": 10970 + }, + { + "epoch": 1.32, + "grad_norm": 0.23252607882022858, + "learning_rate": 0.0001999932583305266, + "loss": 0.8141, + "step": 10975 + }, + { + "epoch": 1.32, + "grad_norm": 0.22429288923740387, + "learning_rate": 0.00019989622605125684, + "loss": 0.9489, + "step": 10980 + }, + { + "epoch": 1.32, + "grad_norm": 0.2248774915933609, + "learning_rate": 0.00019979917028916606, + "loss": 0.9385, + "step": 10985 + }, + { + "epoch": 1.32, + "grad_norm": 0.2719941735267639, + "learning_rate": 0.00019970209108993202, + "loss": 0.8649, + "step": 10990 + }, + { + "epoch": 1.32, + "grad_norm": 0.2678004503250122, + "learning_rate": 0.0001996049884992433, + "loss": 0.8, + "step": 10995 + }, + { + "epoch": 1.33, + "grad_norm": 0.2112882286310196, + "learning_rate": 0.0001995078625627997, + "loss": 0.8478, + "step": 11000 + }, + { + "epoch": 1.33, + "grad_norm": 0.2869125306606293, + "learning_rate": 0.00019941071332631188, + "loss": 0.8296, + "step": 11005 + }, + { + "epoch": 1.33, + "grad_norm": 0.21323542296886444, + "learning_rate": 0.00019931354083550147, + "loss": 0.8881, + "step": 11010 + }, + { + "epoch": 1.33, + "grad_norm": 0.23022828996181488, + "learning_rate": 0.0001992163451361011, + "loss": 0.8604, + "step": 11015 + }, + { + "epoch": 1.33, + "grad_norm": 0.23515096306800842, + "learning_rate": 0.00019911912627385426, + "loss": 0.9111, + "step": 11020 + }, + { + "epoch": 1.33, + "grad_norm": 0.2547999918460846, + "learning_rate": 0.00019902188429451542, + "loss": 0.881, + "step": 11025 + }, + { + "epoch": 1.33, + "grad_norm": 0.28279218077659607, + "learning_rate": 0.0001989246192438499, + "loss": 0.908, + "step": 11030 + }, + { + "epoch": 1.33, + "grad_norm": 0.24193325638771057, + "learning_rate": 0.00019882733116763376, + "loss": 0.8769, + "step": 11035 + }, + { + "epoch": 1.33, + "grad_norm": 0.2332753986120224, + "learning_rate": 0.00019873002011165409, + "loss": 0.803, + "step": 11040 + }, + { + "epoch": 1.33, + "grad_norm": 0.24493838846683502, + "learning_rate": 0.00019863268612170873, + "loss": 0.825, + "step": 11045 + }, + { + "epoch": 1.33, + "grad_norm": 0.22939081490039825, + "learning_rate": 0.00019853532924360618, + "loss": 0.9395, + "step": 11050 + }, + { + "epoch": 1.33, + "grad_norm": 0.24580281972885132, + "learning_rate": 0.0001984379495231659, + "loss": 0.8964, + "step": 11055 + }, + { + "epoch": 1.33, + "grad_norm": 0.22950120270252228, + "learning_rate": 0.00019834054700621802, + "loss": 0.8883, + "step": 11060 + }, + { + "epoch": 1.33, + "grad_norm": 0.2450743019580841, + "learning_rate": 0.00019824312173860332, + "loss": 0.8721, + "step": 11065 + }, + { + "epoch": 1.33, + "grad_norm": 0.2725335955619812, + "learning_rate": 0.00019814567376617346, + "loss": 0.8063, + "step": 11070 + }, + { + "epoch": 1.33, + "grad_norm": 0.27576860785484314, + "learning_rate": 0.00019804820313479066, + "loss": 0.9648, + "step": 11075 + }, + { + "epoch": 1.34, + "grad_norm": 0.23889948427677155, + "learning_rate": 0.00019795070989032788, + "loss": 0.8958, + "step": 11080 + }, + { + "epoch": 1.34, + "grad_norm": 0.25442391633987427, + "learning_rate": 0.00019785319407866853, + "loss": 0.838, + "step": 11085 + }, + { + "epoch": 1.34, + "grad_norm": 0.26583176851272583, + "learning_rate": 0.00019775565574570698, + "loss": 0.8578, + "step": 11090 + }, + { + "epoch": 1.34, + "grad_norm": 0.25874045491218567, + "learning_rate": 0.00019765809493734786, + "loss": 0.8606, + "step": 11095 + }, + { + "epoch": 1.34, + "grad_norm": 0.24192367494106293, + "learning_rate": 0.00019756051169950663, + "loss": 0.7974, + "step": 11100 + }, + { + "epoch": 1.34, + "grad_norm": 0.23584434390068054, + "learning_rate": 0.0001974629060781091, + "loss": 0.8465, + "step": 11105 + }, + { + "epoch": 1.34, + "grad_norm": 0.28704845905303955, + "learning_rate": 0.00019736527811909185, + "loss": 0.9114, + "step": 11110 + }, + { + "epoch": 1.34, + "grad_norm": 0.21719807386398315, + "learning_rate": 0.00019726762786840177, + "loss": 0.9526, + "step": 11115 + }, + { + "epoch": 1.34, + "grad_norm": 0.23290511965751648, + "learning_rate": 0.00019716995537199624, + "loss": 0.8695, + "step": 11120 + }, + { + "epoch": 1.34, + "grad_norm": 0.26695218682289124, + "learning_rate": 0.00019707226067584326, + "loss": 0.8904, + "step": 11125 + }, + { + "epoch": 1.34, + "grad_norm": 0.225587397813797, + "learning_rate": 0.0001969745438259212, + "loss": 0.7754, + "step": 11130 + }, + { + "epoch": 1.34, + "grad_norm": 0.2279675006866455, + "learning_rate": 0.00019687680486821883, + "loss": 0.9336, + "step": 11135 + }, + { + "epoch": 1.34, + "grad_norm": 0.2307017594575882, + "learning_rate": 0.00019677904384873536, + "loss": 0.8192, + "step": 11140 + }, + { + "epoch": 1.34, + "grad_norm": 0.2410012036561966, + "learning_rate": 0.00019668126081348036, + "loss": 0.8694, + "step": 11145 + }, + { + "epoch": 1.34, + "grad_norm": 0.26555535197257996, + "learning_rate": 0.00019658345580847382, + "loss": 0.8598, + "step": 11150 + }, + { + "epoch": 1.34, + "grad_norm": 0.225142240524292, + "learning_rate": 0.00019648562887974598, + "loss": 0.7988, + "step": 11155 + }, + { + "epoch": 1.34, + "grad_norm": 0.2711564600467682, + "learning_rate": 0.00019638778007333743, + "loss": 0.8018, + "step": 11160 + }, + { + "epoch": 1.35, + "grad_norm": 0.2621377408504486, + "learning_rate": 0.00019628990943529909, + "loss": 0.8682, + "step": 11165 + }, + { + "epoch": 1.35, + "grad_norm": 0.23893457651138306, + "learning_rate": 0.00019619201701169217, + "loss": 0.8165, + "step": 11170 + }, + { + "epoch": 1.35, + "grad_norm": 0.2528732419013977, + "learning_rate": 0.00019609410284858797, + "loss": 0.8636, + "step": 11175 + }, + { + "epoch": 1.35, + "grad_norm": 0.24171330034732819, + "learning_rate": 0.0001959961669920683, + "loss": 0.9089, + "step": 11180 + }, + { + "epoch": 1.35, + "grad_norm": 0.24632695317268372, + "learning_rate": 0.00019589820948822493, + "loss": 0.92, + "step": 11185 + }, + { + "epoch": 1.35, + "grad_norm": 0.2687559723854065, + "learning_rate": 0.00019580023038316, + "loss": 0.8794, + "step": 11190 + }, + { + "epoch": 1.35, + "grad_norm": 0.2685549259185791, + "learning_rate": 0.0001957022297229856, + "loss": 0.8629, + "step": 11195 + }, + { + "epoch": 1.35, + "grad_norm": 0.23067381978034973, + "learning_rate": 0.00019560420755382416, + "loss": 0.836, + "step": 11200 + }, + { + "epoch": 1.35, + "grad_norm": 0.2574182450771332, + "learning_rate": 0.0001955061639218082, + "loss": 0.8133, + "step": 11205 + }, + { + "epoch": 1.35, + "grad_norm": 0.2490427941083908, + "learning_rate": 0.00019540809887308032, + "loss": 0.7957, + "step": 11210 + }, + { + "epoch": 1.35, + "grad_norm": 0.24531954526901245, + "learning_rate": 0.00019531001245379312, + "loss": 0.9497, + "step": 11215 + }, + { + "epoch": 1.35, + "grad_norm": 0.2284311205148697, + "learning_rate": 0.00019521190471010936, + "loss": 0.8048, + "step": 11220 + }, + { + "epoch": 1.35, + "grad_norm": 0.23735016584396362, + "learning_rate": 0.00019511377568820184, + "loss": 0.7849, + "step": 11225 + }, + { + "epoch": 1.35, + "grad_norm": 0.24056896567344666, + "learning_rate": 0.00019501562543425329, + "loss": 0.8545, + "step": 11230 + }, + { + "epoch": 1.35, + "grad_norm": 0.2434719055891037, + "learning_rate": 0.00019491745399445644, + "loss": 0.8467, + "step": 11235 + }, + { + "epoch": 1.35, + "grad_norm": 0.24002546072006226, + "learning_rate": 0.0001948192614150141, + "loss": 0.8546, + "step": 11240 + }, + { + "epoch": 1.35, + "grad_norm": 0.2705593705177307, + "learning_rate": 0.00019472104774213893, + "loss": 0.9254, + "step": 11245 + }, + { + "epoch": 1.36, + "grad_norm": 0.2447061389684677, + "learning_rate": 0.00019462281302205355, + "loss": 0.946, + "step": 11250 + }, + { + "epoch": 1.36, + "grad_norm": 0.24118636548519135, + "learning_rate": 0.0001945245573009905, + "loss": 0.8431, + "step": 11255 + }, + { + "epoch": 1.36, + "grad_norm": 0.22377237677574158, + "learning_rate": 0.0001944262806251922, + "loss": 0.9679, + "step": 11260 + }, + { + "epoch": 1.36, + "grad_norm": 0.24068385362625122, + "learning_rate": 0.00019432798304091085, + "loss": 0.928, + "step": 11265 + }, + { + "epoch": 1.36, + "grad_norm": 0.2337529957294464, + "learning_rate": 0.0001942296645944086, + "loss": 0.9368, + "step": 11270 + }, + { + "epoch": 1.36, + "grad_norm": 0.23204030096530914, + "learning_rate": 0.00019413132533195737, + "loss": 0.9575, + "step": 11275 + }, + { + "epoch": 1.36, + "grad_norm": 0.23348142206668854, + "learning_rate": 0.00019403296529983888, + "loss": 0.8327, + "step": 11280 + }, + { + "epoch": 1.36, + "grad_norm": 0.22873573005199432, + "learning_rate": 0.00019393458454434464, + "loss": 0.7914, + "step": 11285 + }, + { + "epoch": 1.36, + "grad_norm": 0.2327519953250885, + "learning_rate": 0.00019383618311177587, + "loss": 0.8401, + "step": 11290 + }, + { + "epoch": 1.36, + "grad_norm": 0.2520465850830078, + "learning_rate": 0.00019373776104844362, + "loss": 0.8922, + "step": 11295 + }, + { + "epoch": 1.36, + "grad_norm": 0.2645134925842285, + "learning_rate": 0.00019363931840066847, + "loss": 0.8806, + "step": 11300 + }, + { + "epoch": 1.36, + "grad_norm": 0.2500244677066803, + "learning_rate": 0.00019354085521478088, + "loss": 0.9306, + "step": 11305 + }, + { + "epoch": 1.36, + "grad_norm": 0.2344416230916977, + "learning_rate": 0.0001934423715371209, + "loss": 0.9232, + "step": 11310 + }, + { + "epoch": 1.36, + "grad_norm": 0.2218599170446396, + "learning_rate": 0.0001933438674140382, + "loss": 0.8308, + "step": 11315 + }, + { + "epoch": 1.36, + "grad_norm": 0.25029993057250977, + "learning_rate": 0.00019324534289189203, + "loss": 0.861, + "step": 11320 + }, + { + "epoch": 1.36, + "grad_norm": 0.25338882207870483, + "learning_rate": 0.00019314679801705144, + "loss": 0.8986, + "step": 11325 + }, + { + "epoch": 1.37, + "grad_norm": 0.22876478731632233, + "learning_rate": 0.00019304823283589482, + "loss": 1.0461, + "step": 11330 + }, + { + "epoch": 1.37, + "grad_norm": 0.2699691355228424, + "learning_rate": 0.00019294964739481024, + "loss": 0.8773, + "step": 11335 + }, + { + "epoch": 1.37, + "grad_norm": 0.23028436303138733, + "learning_rate": 0.00019285104174019527, + "loss": 0.9431, + "step": 11340 + }, + { + "epoch": 1.37, + "grad_norm": 0.21594227850437164, + "learning_rate": 0.00019275241591845704, + "loss": 0.904, + "step": 11345 + }, + { + "epoch": 1.37, + "grad_norm": 0.25375184416770935, + "learning_rate": 0.00019265376997601205, + "loss": 0.9063, + "step": 11350 + }, + { + "epoch": 1.37, + "grad_norm": 0.24144120514392853, + "learning_rate": 0.0001925551039592865, + "loss": 0.8952, + "step": 11355 + }, + { + "epoch": 1.37, + "grad_norm": 0.23259896039962769, + "learning_rate": 0.00019245641791471577, + "loss": 0.9056, + "step": 11360 + }, + { + "epoch": 1.37, + "grad_norm": 0.26159223914146423, + "learning_rate": 0.00019235771188874485, + "loss": 0.8856, + "step": 11365 + }, + { + "epoch": 1.37, + "grad_norm": 0.22818419337272644, + "learning_rate": 0.0001922589859278281, + "loss": 0.8179, + "step": 11370 + }, + { + "epoch": 1.37, + "grad_norm": 0.24243588745594025, + "learning_rate": 0.00019216024007842915, + "loss": 0.8159, + "step": 11375 + }, + { + "epoch": 1.37, + "grad_norm": 0.22796067595481873, + "learning_rate": 0.00019206147438702108, + "loss": 0.9193, + "step": 11380 + }, + { + "epoch": 1.37, + "grad_norm": 0.25152865052223206, + "learning_rate": 0.00019196268890008642, + "loss": 0.938, + "step": 11385 + }, + { + "epoch": 1.37, + "grad_norm": 0.22121083736419678, + "learning_rate": 0.0001918638836641168, + "loss": 0.82, + "step": 11390 + }, + { + "epoch": 1.37, + "grad_norm": 0.22968332469463348, + "learning_rate": 0.00019176505872561326, + "loss": 0.9606, + "step": 11395 + }, + { + "epoch": 1.37, + "grad_norm": 0.2671717405319214, + "learning_rate": 0.00019166621413108613, + "loss": 0.9147, + "step": 11400 + }, + { + "epoch": 1.37, + "grad_norm": 0.24766571819782257, + "learning_rate": 0.00019156734992705496, + "loss": 0.8639, + "step": 11405 + }, + { + "epoch": 1.37, + "grad_norm": 0.244247704744339, + "learning_rate": 0.00019146846616004842, + "loss": 0.7505, + "step": 11410 + }, + { + "epoch": 1.38, + "grad_norm": 0.23957106471061707, + "learning_rate": 0.00019136956287660464, + "loss": 0.8708, + "step": 11415 + }, + { + "epoch": 1.38, + "grad_norm": 0.2419036477804184, + "learning_rate": 0.00019127064012327072, + "loss": 0.9644, + "step": 11420 + }, + { + "epoch": 1.38, + "grad_norm": 0.2512461245059967, + "learning_rate": 0.000191171697946603, + "loss": 0.8277, + "step": 11425 + }, + { + "epoch": 1.38, + "grad_norm": 0.24636131525039673, + "learning_rate": 0.00019107273639316696, + "loss": 0.877, + "step": 11430 + }, + { + "epoch": 1.38, + "grad_norm": 0.21014370024204254, + "learning_rate": 0.0001909737555095372, + "loss": 0.8611, + "step": 11435 + }, + { + "epoch": 1.38, + "grad_norm": 0.2295524775981903, + "learning_rate": 0.0001908747553422974, + "loss": 0.9243, + "step": 11440 + }, + { + "epoch": 1.38, + "grad_norm": 0.24215233325958252, + "learning_rate": 0.0001907757359380403, + "loss": 0.9948, + "step": 11445 + }, + { + "epoch": 1.38, + "grad_norm": 0.2857617735862732, + "learning_rate": 0.00019067669734336776, + "loss": 0.8859, + "step": 11450 + }, + { + "epoch": 1.38, + "grad_norm": 0.25199002027511597, + "learning_rate": 0.00019057763960489063, + "loss": 0.9734, + "step": 11455 + }, + { + "epoch": 1.38, + "grad_norm": 0.2548152506351471, + "learning_rate": 0.00019047856276922873, + "loss": 0.8183, + "step": 11460 + }, + { + "epoch": 1.38, + "grad_norm": 0.23145854473114014, + "learning_rate": 0.00019037946688301097, + "loss": 0.9237, + "step": 11465 + }, + { + "epoch": 1.38, + "grad_norm": 0.24691297113895416, + "learning_rate": 0.00019028035199287512, + "loss": 0.8724, + "step": 11470 + }, + { + "epoch": 1.38, + "grad_norm": 0.2465231567621231, + "learning_rate": 0.00019018121814546799, + "loss": 0.8638, + "step": 11475 + }, + { + "epoch": 1.38, + "grad_norm": 0.2617138922214508, + "learning_rate": 0.00019008206538744516, + "loss": 0.9152, + "step": 11480 + }, + { + "epoch": 1.38, + "grad_norm": 0.23858489096164703, + "learning_rate": 0.00018998289376547135, + "loss": 0.7177, + "step": 11485 + }, + { + "epoch": 1.38, + "grad_norm": 0.2825676202774048, + "learning_rate": 0.00018988370332621987, + "loss": 0.9155, + "step": 11490 + }, + { + "epoch": 1.39, + "grad_norm": 0.21846085786819458, + "learning_rate": 0.00018978449411637317, + "loss": 0.8946, + "step": 11495 + }, + { + "epoch": 1.39, + "grad_norm": 0.23341843485832214, + "learning_rate": 0.00018968526618262226, + "loss": 0.833, + "step": 11500 + }, + { + "epoch": 1.39, + "grad_norm": 0.24220559000968933, + "learning_rate": 0.00018958601957166725, + "loss": 0.8047, + "step": 11505 + }, + { + "epoch": 1.39, + "grad_norm": 0.2510910630226135, + "learning_rate": 0.0001894867543302168, + "loss": 0.8861, + "step": 11510 + }, + { + "epoch": 1.39, + "grad_norm": 0.24948173761367798, + "learning_rate": 0.00018938747050498847, + "loss": 0.8644, + "step": 11515 + }, + { + "epoch": 1.39, + "grad_norm": 0.25031885504722595, + "learning_rate": 0.00018928816814270844, + "loss": 0.8713, + "step": 11520 + }, + { + "epoch": 1.39, + "grad_norm": 0.2391744703054428, + "learning_rate": 0.0001891888472901118, + "loss": 0.8059, + "step": 11525 + }, + { + "epoch": 1.39, + "grad_norm": 0.26208725571632385, + "learning_rate": 0.0001890895079939422, + "loss": 0.8532, + "step": 11530 + }, + { + "epoch": 1.39, + "grad_norm": 0.2613973021507263, + "learning_rate": 0.00018899015030095201, + "loss": 0.8387, + "step": 11535 + }, + { + "epoch": 1.39, + "grad_norm": 0.2578382194042206, + "learning_rate": 0.00018889077425790225, + "loss": 0.9407, + "step": 11540 + }, + { + "epoch": 1.39, + "grad_norm": 0.22165289521217346, + "learning_rate": 0.00018879137991156263, + "loss": 0.817, + "step": 11545 + }, + { + "epoch": 1.39, + "grad_norm": 0.2351749688386917, + "learning_rate": 0.0001886919673087114, + "loss": 0.8507, + "step": 11550 + }, + { + "epoch": 1.39, + "grad_norm": 0.2208326905965805, + "learning_rate": 0.00018859253649613545, + "loss": 0.7727, + "step": 11555 + }, + { + "epoch": 1.39, + "grad_norm": 0.21380893886089325, + "learning_rate": 0.00018849308752063017, + "loss": 0.829, + "step": 11560 + }, + { + "epoch": 1.39, + "grad_norm": 0.25803694128990173, + "learning_rate": 0.00018839362042899962, + "loss": 0.8363, + "step": 11565 + }, + { + "epoch": 1.39, + "grad_norm": 0.28940629959106445, + "learning_rate": 0.0001882941352680562, + "loss": 0.9299, + "step": 11570 + }, + { + "epoch": 1.39, + "grad_norm": 0.2648991346359253, + "learning_rate": 0.00018819463208462112, + "loss": 0.8416, + "step": 11575 + }, + { + "epoch": 1.4, + "grad_norm": 0.22129850089550018, + "learning_rate": 0.00018809511092552372, + "loss": 0.8448, + "step": 11580 + }, + { + "epoch": 1.4, + "grad_norm": 0.26116523146629333, + "learning_rate": 0.00018799557183760206, + "loss": 0.9321, + "step": 11585 + }, + { + "epoch": 1.4, + "grad_norm": 0.2547585964202881, + "learning_rate": 0.00018789601486770245, + "loss": 0.8947, + "step": 11590 + }, + { + "epoch": 1.4, + "grad_norm": 0.28379014134407043, + "learning_rate": 0.0001877964400626798, + "loss": 0.8113, + "step": 11595 + }, + { + "epoch": 1.4, + "grad_norm": 0.21314746141433716, + "learning_rate": 0.00018769684746939723, + "loss": 0.89, + "step": 11600 + }, + { + "epoch": 1.4, + "grad_norm": 0.2194174975156784, + "learning_rate": 0.00018759723713472642, + "loss": 0.8691, + "step": 11605 + }, + { + "epoch": 1.4, + "grad_norm": 0.2298017144203186, + "learning_rate": 0.00018749760910554715, + "loss": 0.8259, + "step": 11610 + }, + { + "epoch": 1.4, + "grad_norm": 0.2847272455692291, + "learning_rate": 0.0001873979634287479, + "loss": 0.8773, + "step": 11615 + }, + { + "epoch": 1.4, + "grad_norm": 0.23975825309753418, + "learning_rate": 0.00018729830015122508, + "loss": 0.9002, + "step": 11620 + }, + { + "epoch": 1.4, + "grad_norm": 0.22761796414852142, + "learning_rate": 0.00018719861931988354, + "loss": 0.8456, + "step": 11625 + }, + { + "epoch": 1.4, + "grad_norm": 0.24914436042308807, + "learning_rate": 0.0001870989209816364, + "loss": 0.8834, + "step": 11630 + }, + { + "epoch": 1.4, + "grad_norm": 0.2555813491344452, + "learning_rate": 0.0001869992051834051, + "loss": 0.7416, + "step": 11635 + }, + { + "epoch": 1.4, + "grad_norm": 0.2689943015575409, + "learning_rate": 0.00018689947197211908, + "loss": 0.85, + "step": 11640 + }, + { + "epoch": 1.4, + "grad_norm": 0.21290338039398193, + "learning_rate": 0.00018679972139471615, + "loss": 0.9248, + "step": 11645 + }, + { + "epoch": 1.4, + "grad_norm": 0.21777038276195526, + "learning_rate": 0.00018669995349814228, + "loss": 0.9654, + "step": 11650 + }, + { + "epoch": 1.4, + "grad_norm": 0.2189740687608719, + "learning_rate": 0.0001866001683293515, + "loss": 0.8877, + "step": 11655 + }, + { + "epoch": 1.4, + "grad_norm": 0.2227373570203781, + "learning_rate": 0.00018650036593530607, + "loss": 0.9332, + "step": 11660 + }, + { + "epoch": 1.41, + "grad_norm": 0.2457219511270523, + "learning_rate": 0.00018640054636297632, + "loss": 0.7944, + "step": 11665 + }, + { + "epoch": 1.41, + "grad_norm": 0.2539142072200775, + "learning_rate": 0.00018630070965934057, + "loss": 0.7875, + "step": 11670 + }, + { + "epoch": 1.41, + "grad_norm": 0.23336252570152283, + "learning_rate": 0.0001862008558713854, + "loss": 0.7474, + "step": 11675 + }, + { + "epoch": 1.41, + "grad_norm": 0.33268702030181885, + "learning_rate": 0.00018610098504610523, + "loss": 0.944, + "step": 11680 + }, + { + "epoch": 1.41, + "grad_norm": 0.23532938957214355, + "learning_rate": 0.0001860010972305026, + "loss": 0.998, + "step": 11685 + }, + { + "epoch": 1.41, + "grad_norm": 0.24364040791988373, + "learning_rate": 0.0001859011924715881, + "loss": 0.8007, + "step": 11690 + }, + { + "epoch": 1.41, + "grad_norm": 0.26851868629455566, + "learning_rate": 0.00018580127081638018, + "loss": 0.8973, + "step": 11695 + }, + { + "epoch": 1.41, + "grad_norm": 0.27191677689552307, + "learning_rate": 0.00018570133231190524, + "loss": 0.9319, + "step": 11700 + }, + { + "epoch": 1.41, + "grad_norm": 0.24935273826122284, + "learning_rate": 0.00018560137700519776, + "loss": 0.8381, + "step": 11705 + }, + { + "epoch": 1.41, + "grad_norm": 0.19971820712089539, + "learning_rate": 0.00018550140494329995, + "loss": 0.9152, + "step": 11710 + }, + { + "epoch": 1.41, + "grad_norm": 0.2567872703075409, + "learning_rate": 0.000185401416173262, + "loss": 0.8468, + "step": 11715 + }, + { + "epoch": 1.41, + "grad_norm": 0.2599542438983917, + "learning_rate": 0.00018530141074214195, + "loss": 0.8679, + "step": 11720 + }, + { + "epoch": 1.41, + "grad_norm": 0.2495017796754837, + "learning_rate": 0.00018520138869700573, + "loss": 0.8317, + "step": 11725 + }, + { + "epoch": 1.41, + "grad_norm": 0.25889188051223755, + "learning_rate": 0.00018510135008492696, + "loss": 0.9075, + "step": 11730 + }, + { + "epoch": 1.41, + "grad_norm": 0.24831044673919678, + "learning_rate": 0.00018500129495298718, + "loss": 0.8721, + "step": 11735 + }, + { + "epoch": 1.41, + "grad_norm": 0.23168979585170746, + "learning_rate": 0.0001849012233482756, + "loss": 0.9592, + "step": 11740 + }, + { + "epoch": 1.42, + "grad_norm": 0.27312368154525757, + "learning_rate": 0.0001848011353178893, + "loss": 0.8826, + "step": 11745 + }, + { + "epoch": 1.42, + "grad_norm": 0.23228977620601654, + "learning_rate": 0.00018470103090893297, + "loss": 0.8053, + "step": 11750 + }, + { + "epoch": 1.42, + "grad_norm": 0.23857393860816956, + "learning_rate": 0.00018460091016851915, + "loss": 0.8638, + "step": 11755 + }, + { + "epoch": 1.42, + "grad_norm": 0.24902932345867157, + "learning_rate": 0.00018450077314376793, + "loss": 0.8719, + "step": 11760 + }, + { + "epoch": 1.42, + "grad_norm": 0.29293930530548096, + "learning_rate": 0.0001844006198818072, + "loss": 0.9337, + "step": 11765 + }, + { + "epoch": 1.42, + "grad_norm": 0.2380332350730896, + "learning_rate": 0.00018430045042977224, + "loss": 0.8136, + "step": 11770 + }, + { + "epoch": 1.42, + "grad_norm": 0.2724967896938324, + "learning_rate": 0.0001842002648348063, + "loss": 0.9473, + "step": 11775 + }, + { + "epoch": 1.42, + "grad_norm": 0.24302633106708527, + "learning_rate": 0.00018410006314405992, + "loss": 0.7744, + "step": 11780 + }, + { + "epoch": 1.42, + "grad_norm": 0.242751345038414, + "learning_rate": 0.0001839998454046914, + "loss": 0.8238, + "step": 11785 + }, + { + "epoch": 1.42, + "grad_norm": 0.23499782383441925, + "learning_rate": 0.00018389961166386657, + "loss": 0.8673, + "step": 11790 + }, + { + "epoch": 1.42, + "grad_norm": 0.22136856615543365, + "learning_rate": 0.00018379936196875868, + "loss": 0.9232, + "step": 11795 + }, + { + "epoch": 1.42, + "grad_norm": 0.22664988040924072, + "learning_rate": 0.00018369909636654867, + "loss": 0.8296, + "step": 11800 + }, + { + "epoch": 1.42, + "grad_norm": 0.2627767026424408, + "learning_rate": 0.00018359881490442471, + "loss": 0.8778, + "step": 11805 + }, + { + "epoch": 1.42, + "grad_norm": 0.22755451500415802, + "learning_rate": 0.00018349851762958274, + "loss": 0.949, + "step": 11810 + }, + { + "epoch": 1.42, + "grad_norm": 0.2317892462015152, + "learning_rate": 0.00018339820458922589, + "loss": 0.8828, + "step": 11815 + }, + { + "epoch": 1.42, + "grad_norm": 0.23136401176452637, + "learning_rate": 0.00018329787583056486, + "loss": 0.7622, + "step": 11820 + }, + { + "epoch": 1.42, + "grad_norm": 0.24994751811027527, + "learning_rate": 0.00018319753140081765, + "loss": 0.8811, + "step": 11825 + }, + { + "epoch": 1.43, + "grad_norm": 0.2566693425178528, + "learning_rate": 0.00018309717134720974, + "loss": 0.9607, + "step": 11830 + }, + { + "epoch": 1.43, + "grad_norm": 0.2577987313270569, + "learning_rate": 0.00018299679571697383, + "loss": 0.8902, + "step": 11835 + }, + { + "epoch": 1.43, + "grad_norm": 0.2891867160797119, + "learning_rate": 0.00018289640455735012, + "loss": 0.8107, + "step": 11840 + }, + { + "epoch": 1.43, + "grad_norm": 0.24823874235153198, + "learning_rate": 0.0001827959979155859, + "loss": 0.8493, + "step": 11845 + }, + { + "epoch": 1.43, + "grad_norm": 0.23691007494926453, + "learning_rate": 0.00018269557583893602, + "loss": 0.8704, + "step": 11850 + }, + { + "epoch": 1.43, + "grad_norm": 0.2653874158859253, + "learning_rate": 0.00018259513837466228, + "loss": 0.8665, + "step": 11855 + }, + { + "epoch": 1.43, + "grad_norm": 0.3187112510204315, + "learning_rate": 0.00018249468557003404, + "loss": 0.7894, + "step": 11860 + }, + { + "epoch": 1.43, + "grad_norm": 0.2333473116159439, + "learning_rate": 0.00018239421747232758, + "loss": 0.7926, + "step": 11865 + }, + { + "epoch": 1.43, + "grad_norm": 0.2679731547832489, + "learning_rate": 0.0001822937341288267, + "loss": 0.848, + "step": 11870 + }, + { + "epoch": 1.43, + "grad_norm": 0.2512493431568146, + "learning_rate": 0.00018219323558682203, + "loss": 0.9605, + "step": 11875 + }, + { + "epoch": 1.43, + "grad_norm": 0.241338312625885, + "learning_rate": 0.0001820927218936116, + "loss": 0.8209, + "step": 11880 + }, + { + "epoch": 1.43, + "grad_norm": 0.2403215616941452, + "learning_rate": 0.0001819921930965005, + "loss": 0.808, + "step": 11885 + }, + { + "epoch": 1.43, + "grad_norm": 0.24776634573936462, + "learning_rate": 0.00018189164924280088, + "loss": 0.8508, + "step": 11890 + }, + { + "epoch": 1.43, + "grad_norm": 0.23758898675441742, + "learning_rate": 0.00018179109037983203, + "loss": 0.9911, + "step": 11895 + }, + { + "epoch": 1.43, + "grad_norm": 0.24971432983875275, + "learning_rate": 0.00018169051655492034, + "loss": 0.8894, + "step": 11900 + }, + { + "epoch": 1.43, + "grad_norm": 0.22912085056304932, + "learning_rate": 0.0001815899278153991, + "loss": 0.8912, + "step": 11905 + }, + { + "epoch": 1.44, + "grad_norm": 0.271433562040329, + "learning_rate": 0.0001814893242086088, + "loss": 0.8364, + "step": 11910 + }, + { + "epoch": 1.44, + "grad_norm": 0.2268996387720108, + "learning_rate": 0.00018138870578189676, + "loss": 0.8419, + "step": 11915 + }, + { + "epoch": 1.44, + "grad_norm": 0.2744608521461487, + "learning_rate": 0.0001812880725826174, + "loss": 0.8018, + "step": 11920 + }, + { + "epoch": 1.44, + "grad_norm": 0.2408338189125061, + "learning_rate": 0.00018118742465813206, + "loss": 0.84, + "step": 11925 + }, + { + "epoch": 1.44, + "grad_norm": 0.27505186200141907, + "learning_rate": 0.00018108676205580895, + "loss": 0.8555, + "step": 11930 + }, + { + "epoch": 1.44, + "grad_norm": 0.23788927495479584, + "learning_rate": 0.00018098608482302328, + "loss": 0.8613, + "step": 11935 + }, + { + "epoch": 1.44, + "grad_norm": 0.2505749762058258, + "learning_rate": 0.00018088539300715705, + "loss": 0.7991, + "step": 11940 + }, + { + "epoch": 1.44, + "grad_norm": 0.22999998927116394, + "learning_rate": 0.00018078468665559924, + "loss": 0.7935, + "step": 11945 + }, + { + "epoch": 1.44, + "grad_norm": 0.2383863478899002, + "learning_rate": 0.00018068396581574553, + "loss": 0.878, + "step": 11950 + }, + { + "epoch": 1.44, + "grad_norm": 0.22946636378765106, + "learning_rate": 0.00018058323053499854, + "loss": 0.8047, + "step": 11955 + }, + { + "epoch": 1.44, + "grad_norm": 0.23430262506008148, + "learning_rate": 0.0001804824808607676, + "loss": 0.8075, + "step": 11960 + }, + { + "epoch": 1.44, + "grad_norm": 0.2360125333070755, + "learning_rate": 0.0001803817168404689, + "loss": 0.8581, + "step": 11965 + }, + { + "epoch": 1.44, + "grad_norm": 0.24007384479045868, + "learning_rate": 0.00018028093852152528, + "loss": 0.8953, + "step": 11970 + }, + { + "epoch": 1.44, + "grad_norm": 0.2502374053001404, + "learning_rate": 0.00018018014595136644, + "loss": 0.8884, + "step": 11975 + }, + { + "epoch": 1.44, + "grad_norm": 0.24452511966228485, + "learning_rate": 0.00018007933917742864, + "loss": 1.0623, + "step": 11980 + }, + { + "epoch": 1.44, + "grad_norm": 0.23154529929161072, + "learning_rate": 0.0001799785182471549, + "loss": 0.8695, + "step": 11985 + }, + { + "epoch": 1.44, + "grad_norm": 0.2401302307844162, + "learning_rate": 0.00017987768320799495, + "loss": 0.9001, + "step": 11990 + }, + { + "epoch": 1.45, + "grad_norm": 0.37644556164741516, + "learning_rate": 0.00017977683410740503, + "loss": 0.8526, + "step": 11995 + }, + { + "epoch": 1.45, + "grad_norm": 0.2637287974357605, + "learning_rate": 0.00017967597099284813, + "loss": 0.9424, + "step": 12000 + }, + { + "epoch": 1.45, + "grad_norm": 0.23815138638019562, + "learning_rate": 0.0001795750939117938, + "loss": 0.8184, + "step": 12005 + }, + { + "epoch": 1.45, + "grad_norm": 0.2669789493083954, + "learning_rate": 0.00017947420291171813, + "loss": 0.9174, + "step": 12010 + }, + { + "epoch": 1.45, + "grad_norm": 0.3020137548446655, + "learning_rate": 0.00017937329804010372, + "loss": 0.9216, + "step": 12015 + }, + { + "epoch": 1.45, + "grad_norm": 0.22852839529514313, + "learning_rate": 0.00017927237934443983, + "loss": 0.8869, + "step": 12020 + }, + { + "epoch": 1.45, + "grad_norm": 0.27569183707237244, + "learning_rate": 0.00017917144687222206, + "loss": 0.8327, + "step": 12025 + }, + { + "epoch": 1.45, + "grad_norm": 0.2452722042798996, + "learning_rate": 0.0001790705006709527, + "loss": 0.9104, + "step": 12030 + }, + { + "epoch": 1.45, + "grad_norm": 0.24271848797798157, + "learning_rate": 0.00017896954078814028, + "loss": 0.9341, + "step": 12035 + }, + { + "epoch": 1.45, + "grad_norm": 0.21451996266841888, + "learning_rate": 0.00017886856727129994, + "loss": 0.8143, + "step": 12040 + }, + { + "epoch": 1.45, + "grad_norm": 0.23725618422031403, + "learning_rate": 0.00017876758016795313, + "loss": 0.8801, + "step": 12045 + }, + { + "epoch": 1.45, + "grad_norm": 0.24408486485481262, + "learning_rate": 0.00017866657952562778, + "loss": 0.8149, + "step": 12050 + }, + { + "epoch": 1.45, + "grad_norm": 0.22583889961242676, + "learning_rate": 0.0001785655653918581, + "loss": 0.8196, + "step": 12055 + }, + { + "epoch": 1.45, + "grad_norm": 0.23950889706611633, + "learning_rate": 0.00017846453781418474, + "loss": 0.7369, + "step": 12060 + }, + { + "epoch": 1.45, + "grad_norm": 0.24430805444717407, + "learning_rate": 0.00017836349684015456, + "loss": 0.9414, + "step": 12065 + }, + { + "epoch": 1.45, + "grad_norm": 0.22092491388320923, + "learning_rate": 0.00017826244251732088, + "loss": 0.9288, + "step": 12070 + }, + { + "epoch": 1.45, + "grad_norm": 0.23350967466831207, + "learning_rate": 0.00017816137489324314, + "loss": 0.8764, + "step": 12075 + }, + { + "epoch": 1.46, + "grad_norm": 0.25949931144714355, + "learning_rate": 0.0001780602940154872, + "loss": 0.7207, + "step": 12080 + }, + { + "epoch": 1.46, + "grad_norm": 0.23288941383361816, + "learning_rate": 0.00017795919993162504, + "loss": 0.8304, + "step": 12085 + }, + { + "epoch": 1.46, + "grad_norm": 0.261445015668869, + "learning_rate": 0.00017785809268923493, + "loss": 0.8202, + "step": 12090 + }, + { + "epoch": 1.46, + "grad_norm": 0.26035887002944946, + "learning_rate": 0.0001777569723359012, + "loss": 0.8119, + "step": 12095 + }, + { + "epoch": 1.46, + "grad_norm": 0.24832282960414886, + "learning_rate": 0.00017765583891921454, + "loss": 0.8939, + "step": 12100 + }, + { + "epoch": 1.46, + "grad_norm": 0.24832552671432495, + "learning_rate": 0.00017755469248677163, + "loss": 0.8043, + "step": 12105 + }, + { + "epoch": 1.46, + "grad_norm": 0.24635636806488037, + "learning_rate": 0.0001774535330861754, + "loss": 0.9287, + "step": 12110 + }, + { + "epoch": 1.46, + "grad_norm": 0.26285749673843384, + "learning_rate": 0.0001773523607650348, + "loss": 0.903, + "step": 12115 + }, + { + "epoch": 1.46, + "grad_norm": 0.23266449570655823, + "learning_rate": 0.0001772511755709649, + "loss": 0.8647, + "step": 12120 + }, + { + "epoch": 1.46, + "grad_norm": 0.23919335007667542, + "learning_rate": 0.00017714997755158675, + "loss": 0.8978, + "step": 12125 + }, + { + "epoch": 1.46, + "grad_norm": 0.247425839304924, + "learning_rate": 0.0001770487667545276, + "loss": 0.8336, + "step": 12130 + }, + { + "epoch": 1.46, + "grad_norm": 0.28573018312454224, + "learning_rate": 0.00017694754322742048, + "loss": 0.9016, + "step": 12135 + }, + { + "epoch": 1.46, + "grad_norm": 0.23751410841941833, + "learning_rate": 0.00017684630701790468, + "loss": 0.8116, + "step": 12140 + }, + { + "epoch": 1.46, + "grad_norm": 0.2392253428697586, + "learning_rate": 0.0001767450581736252, + "loss": 0.9136, + "step": 12145 + }, + { + "epoch": 1.46, + "grad_norm": 0.23572461307048798, + "learning_rate": 0.00017664379674223318, + "loss": 0.8182, + "step": 12150 + }, + { + "epoch": 1.46, + "grad_norm": 0.2536904513835907, + "learning_rate": 0.0001765425227713856, + "loss": 0.8735, + "step": 12155 + }, + { + "epoch": 1.47, + "grad_norm": 0.2494330257177353, + "learning_rate": 0.00017644123630874539, + "loss": 0.888, + "step": 12160 + }, + { + "epoch": 1.47, + "grad_norm": 0.2419360876083374, + "learning_rate": 0.00017633993740198128, + "loss": 0.8367, + "step": 12165 + }, + { + "epoch": 1.47, + "grad_norm": 0.22948452830314636, + "learning_rate": 0.0001762386260987679, + "loss": 0.903, + "step": 12170 + }, + { + "epoch": 1.47, + "grad_norm": 0.2524193227291107, + "learning_rate": 0.0001761373024467857, + "loss": 0.8555, + "step": 12175 + }, + { + "epoch": 1.47, + "grad_norm": 0.2861385941505432, + "learning_rate": 0.000176035966493721, + "loss": 0.9068, + "step": 12180 + }, + { + "epoch": 1.47, + "grad_norm": 0.2484591007232666, + "learning_rate": 0.0001759346182872658, + "loss": 0.9578, + "step": 12185 + }, + { + "epoch": 1.47, + "grad_norm": 0.24529612064361572, + "learning_rate": 0.000175833257875118, + "loss": 0.8648, + "step": 12190 + }, + { + "epoch": 1.47, + "grad_norm": 0.23602719604969025, + "learning_rate": 0.00017573188530498117, + "loss": 0.9002, + "step": 12195 + }, + { + "epoch": 1.47, + "grad_norm": 0.24331901967525482, + "learning_rate": 0.0001756305006245646, + "loss": 0.8624, + "step": 12200 + }, + { + "epoch": 1.47, + "grad_norm": 0.2478303611278534, + "learning_rate": 0.0001755291038815832, + "loss": 0.8435, + "step": 12205 + }, + { + "epoch": 1.47, + "grad_norm": 0.26991724967956543, + "learning_rate": 0.0001754276951237578, + "loss": 0.8139, + "step": 12210 + }, + { + "epoch": 1.47, + "grad_norm": 0.2541549503803253, + "learning_rate": 0.00017532627439881458, + "loss": 0.85, + "step": 12215 + }, + { + "epoch": 1.47, + "grad_norm": 0.24864061176776886, + "learning_rate": 0.0001752248417544856, + "loss": 0.8312, + "step": 12220 + }, + { + "epoch": 1.47, + "grad_norm": 0.26080724596977234, + "learning_rate": 0.00017512339723850835, + "loss": 0.8774, + "step": 12225 + }, + { + "epoch": 1.47, + "grad_norm": 0.27303215861320496, + "learning_rate": 0.00017502194089862608, + "loss": 0.8132, + "step": 12230 + }, + { + "epoch": 1.47, + "grad_norm": 0.24449607729911804, + "learning_rate": 0.00017492047278258748, + "loss": 0.9219, + "step": 12235 + }, + { + "epoch": 1.47, + "grad_norm": 0.24350832402706146, + "learning_rate": 0.0001748189929381468, + "loss": 0.814, + "step": 12240 + }, + { + "epoch": 1.48, + "grad_norm": 0.22966676950454712, + "learning_rate": 0.0001747175014130638, + "loss": 0.8465, + "step": 12245 + }, + { + "epoch": 1.48, + "grad_norm": 0.2714262008666992, + "learning_rate": 0.00017461599825510386, + "loss": 0.885, + "step": 12250 + }, + { + "epoch": 1.48, + "grad_norm": 0.2457001507282257, + "learning_rate": 0.00017451448351203758, + "loss": 0.8376, + "step": 12255 + }, + { + "epoch": 1.48, + "grad_norm": 0.22185452282428741, + "learning_rate": 0.00017441295723164132, + "loss": 0.8311, + "step": 12260 + }, + { + "epoch": 1.48, + "grad_norm": 0.2851621210575104, + "learning_rate": 0.00017431141946169662, + "loss": 0.7891, + "step": 12265 + }, + { + "epoch": 1.48, + "grad_norm": 0.2442905604839325, + "learning_rate": 0.00017420987024999065, + "loss": 0.9465, + "step": 12270 + }, + { + "epoch": 1.48, + "grad_norm": 0.26960885524749756, + "learning_rate": 0.00017410830964431566, + "loss": 0.8436, + "step": 12275 + }, + { + "epoch": 1.48, + "grad_norm": 0.23894372582435608, + "learning_rate": 0.0001740067376924696, + "loss": 0.8469, + "step": 12280 + }, + { + "epoch": 1.48, + "grad_norm": 0.295200914144516, + "learning_rate": 0.00017390515444225548, + "loss": 0.907, + "step": 12285 + }, + { + "epoch": 1.48, + "grad_norm": 0.24998031556606293, + "learning_rate": 0.00017380355994148187, + "loss": 0.8642, + "step": 12290 + }, + { + "epoch": 1.48, + "grad_norm": 0.25072336196899414, + "learning_rate": 0.0001737019542379624, + "loss": 0.8299, + "step": 12295 + }, + { + "epoch": 1.48, + "grad_norm": 0.23040717840194702, + "learning_rate": 0.00017360033737951622, + "loss": 0.8464, + "step": 12300 + }, + { + "epoch": 1.48, + "grad_norm": 0.21226970851421356, + "learning_rate": 0.0001734987094139675, + "loss": 0.8759, + "step": 12305 + }, + { + "epoch": 1.48, + "grad_norm": 0.26856541633605957, + "learning_rate": 0.0001733970703891457, + "loss": 0.8438, + "step": 12310 + }, + { + "epoch": 1.48, + "grad_norm": 0.2336094230413437, + "learning_rate": 0.00017329542035288565, + "loss": 0.8019, + "step": 12315 + }, + { + "epoch": 1.48, + "grad_norm": 0.2525746524333954, + "learning_rate": 0.00017319375935302713, + "loss": 0.9302, + "step": 12320 + }, + { + "epoch": 1.49, + "grad_norm": 0.21425200998783112, + "learning_rate": 0.00017309208743741526, + "loss": 0.835, + "step": 12325 + }, + { + "epoch": 1.49, + "grad_norm": 0.2605019509792328, + "learning_rate": 0.00017299040465390013, + "loss": 0.9248, + "step": 12330 + }, + { + "epoch": 1.49, + "grad_norm": 0.22529718279838562, + "learning_rate": 0.00017288871105033713, + "loss": 0.8703, + "step": 12335 + }, + { + "epoch": 1.49, + "grad_norm": 0.24195663630962372, + "learning_rate": 0.00017278700667458657, + "loss": 0.836, + "step": 12340 + }, + { + "epoch": 1.49, + "grad_norm": 0.25822916626930237, + "learning_rate": 0.00017268529157451394, + "loss": 0.8901, + "step": 12345 + }, + { + "epoch": 1.49, + "grad_norm": 0.2364194244146347, + "learning_rate": 0.00017258356579798973, + "loss": 0.8438, + "step": 12350 + }, + { + "epoch": 1.49, + "grad_norm": 0.26082637906074524, + "learning_rate": 0.0001724818293928895, + "loss": 0.9269, + "step": 12355 + }, + { + "epoch": 1.49, + "grad_norm": 0.2297302931547165, + "learning_rate": 0.00017238008240709374, + "loss": 0.9076, + "step": 12360 + }, + { + "epoch": 1.49, + "grad_norm": 0.2835592031478882, + "learning_rate": 0.00017227832488848799, + "loss": 0.8485, + "step": 12365 + }, + { + "epoch": 1.49, + "grad_norm": 0.2650296986103058, + "learning_rate": 0.0001721765568849627, + "loss": 0.9593, + "step": 12370 + }, + { + "epoch": 1.49, + "grad_norm": 0.22768686711788177, + "learning_rate": 0.00017207477844441335, + "loss": 0.8921, + "step": 12375 + }, + { + "epoch": 1.49, + "grad_norm": 0.22558462619781494, + "learning_rate": 0.00017197298961474006, + "loss": 0.8421, + "step": 12380 + }, + { + "epoch": 1.49, + "grad_norm": 0.224419966340065, + "learning_rate": 0.00017187119044384823, + "loss": 0.8392, + "step": 12385 + }, + { + "epoch": 1.49, + "grad_norm": 0.2719701826572418, + "learning_rate": 0.00017176938097964784, + "loss": 0.9365, + "step": 12390 + }, + { + "epoch": 1.49, + "grad_norm": 0.24385976791381836, + "learning_rate": 0.00017166756127005384, + "loss": 0.8264, + "step": 12395 + }, + { + "epoch": 1.49, + "grad_norm": 0.23817993700504303, + "learning_rate": 0.00017156573136298592, + "loss": 0.9154, + "step": 12400 + }, + { + "epoch": 1.49, + "grad_norm": 0.25745269656181335, + "learning_rate": 0.00017146389130636864, + "loss": 0.8911, + "step": 12405 + }, + { + "epoch": 1.5, + "grad_norm": 0.29501572251319885, + "learning_rate": 0.0001713620411481314, + "loss": 0.8841, + "step": 12410 + }, + { + "epoch": 1.5, + "grad_norm": 0.263081431388855, + "learning_rate": 0.00017126018093620808, + "loss": 0.8334, + "step": 12415 + }, + { + "epoch": 1.5, + "grad_norm": 0.22736036777496338, + "learning_rate": 0.0001711583107185376, + "loss": 0.88, + "step": 12420 + }, + { + "epoch": 1.5, + "grad_norm": 0.23410391807556152, + "learning_rate": 0.00017105643054306352, + "loss": 0.8257, + "step": 12425 + }, + { + "epoch": 1.5, + "grad_norm": 0.26745110750198364, + "learning_rate": 0.00017095454045773387, + "loss": 0.9252, + "step": 12430 + }, + { + "epoch": 1.5, + "grad_norm": 0.24385030567646027, + "learning_rate": 0.00017085264051050166, + "loss": 0.8395, + "step": 12435 + }, + { + "epoch": 1.5, + "grad_norm": 0.2342156320810318, + "learning_rate": 0.0001707507307493243, + "loss": 0.8266, + "step": 12440 + }, + { + "epoch": 1.5, + "grad_norm": 0.2477523386478424, + "learning_rate": 0.00017064881122216398, + "loss": 0.8427, + "step": 12445 + }, + { + "epoch": 1.5, + "grad_norm": 0.252871572971344, + "learning_rate": 0.00017054688197698736, + "loss": 0.8368, + "step": 12450 + }, + { + "epoch": 1.5, + "grad_norm": 0.22697529196739197, + "learning_rate": 0.00017044494306176576, + "loss": 0.7964, + "step": 12455 + }, + { + "epoch": 1.5, + "grad_norm": 0.27553001046180725, + "learning_rate": 0.00017034299452447493, + "loss": 0.8546, + "step": 12460 + }, + { + "epoch": 1.5, + "grad_norm": 0.26646605134010315, + "learning_rate": 0.00017024103641309537, + "loss": 0.8383, + "step": 12465 + }, + { + "epoch": 1.5, + "grad_norm": 0.255669504404068, + "learning_rate": 0.00017013906877561187, + "loss": 0.7589, + "step": 12470 + }, + { + "epoch": 1.5, + "grad_norm": 0.25287455320358276, + "learning_rate": 0.0001700370916600138, + "loss": 0.8203, + "step": 12475 + }, + { + "epoch": 1.5, + "grad_norm": 0.2946148216724396, + "learning_rate": 0.000169935105114295, + "loss": 0.9016, + "step": 12480 + }, + { + "epoch": 1.5, + "grad_norm": 0.2425968050956726, + "learning_rate": 0.0001698331091864537, + "loss": 0.786, + "step": 12485 + }, + { + "epoch": 1.5, + "grad_norm": 0.24818405508995056, + "learning_rate": 0.00016973110392449255, + "loss": 0.8466, + "step": 12490 + }, + { + "epoch": 1.51, + "grad_norm": 0.2572382688522339, + "learning_rate": 0.00016962908937641873, + "loss": 0.8854, + "step": 12495 + }, + { + "epoch": 1.51, + "grad_norm": 0.22933310270309448, + "learning_rate": 0.0001695270655902435, + "loss": 0.8843, + "step": 12500 + }, + { + "epoch": 1.51, + "grad_norm": 0.2477482110261917, + "learning_rate": 0.00016942503261398276, + "loss": 0.8412, + "step": 12505 + }, + { + "epoch": 1.51, + "grad_norm": 0.2406783103942871, + "learning_rate": 0.00016932299049565657, + "loss": 0.7979, + "step": 12510 + }, + { + "epoch": 1.51, + "grad_norm": 0.2689076364040375, + "learning_rate": 0.00016922093928328937, + "loss": 0.8078, + "step": 12515 + }, + { + "epoch": 1.51, + "grad_norm": 0.2702324092388153, + "learning_rate": 0.00016911887902490986, + "loss": 0.8463, + "step": 12520 + }, + { + "epoch": 1.51, + "grad_norm": 0.27444717288017273, + "learning_rate": 0.00016901680976855096, + "loss": 0.8428, + "step": 12525 + }, + { + "epoch": 1.51, + "grad_norm": 0.24861744046211243, + "learning_rate": 0.00016891473156224976, + "loss": 0.9324, + "step": 12530 + }, + { + "epoch": 1.51, + "grad_norm": 0.2355334758758545, + "learning_rate": 0.00016881264445404786, + "loss": 0.8497, + "step": 12535 + }, + { + "epoch": 1.51, + "grad_norm": 0.24266460537910461, + "learning_rate": 0.00016871054849199068, + "loss": 0.8034, + "step": 12540 + }, + { + "epoch": 1.51, + "grad_norm": 0.24508504569530487, + "learning_rate": 0.00016860844372412802, + "loss": 0.8216, + "step": 12545 + }, + { + "epoch": 1.51, + "grad_norm": 0.23630234599113464, + "learning_rate": 0.00016850633019851378, + "loss": 0.8422, + "step": 12550 + }, + { + "epoch": 1.51, + "grad_norm": 0.2652592658996582, + "learning_rate": 0.00016840420796320602, + "loss": 0.9161, + "step": 12555 + }, + { + "epoch": 1.51, + "grad_norm": 0.21832112967967987, + "learning_rate": 0.00016830207706626675, + "loss": 0.7847, + "step": 12560 + }, + { + "epoch": 1.51, + "grad_norm": 0.2525995671749115, + "learning_rate": 0.00016819993755576225, + "loss": 0.8049, + "step": 12565 + }, + { + "epoch": 1.51, + "grad_norm": 0.2583009898662567, + "learning_rate": 0.00016809778947976273, + "loss": 0.8428, + "step": 12570 + }, + { + "epoch": 1.52, + "grad_norm": 0.2520254850387573, + "learning_rate": 0.00016799563288634247, + "loss": 0.8095, + "step": 12575 + }, + { + "epoch": 1.52, + "grad_norm": 0.2578343152999878, + "learning_rate": 0.00016789346782357975, + "loss": 0.7919, + "step": 12580 + }, + { + "epoch": 1.52, + "grad_norm": 0.26357656717300415, + "learning_rate": 0.00016779129433955686, + "loss": 0.8591, + "step": 12585 + }, + { + "epoch": 1.52, + "grad_norm": 0.256157249212265, + "learning_rate": 0.00016768911248236001, + "loss": 0.8812, + "step": 12590 + }, + { + "epoch": 1.52, + "grad_norm": 0.25076690316200256, + "learning_rate": 0.00016758692230007939, + "loss": 0.8109, + "step": 12595 + }, + { + "epoch": 1.52, + "grad_norm": 0.26250481605529785, + "learning_rate": 0.00016748472384080912, + "loss": 0.944, + "step": 12600 + }, + { + "epoch": 1.52, + "grad_norm": 0.25288984179496765, + "learning_rate": 0.0001673825171526471, + "loss": 0.9143, + "step": 12605 + }, + { + "epoch": 1.52, + "grad_norm": 0.26439496874809265, + "learning_rate": 0.0001672803022836953, + "loss": 0.9372, + "step": 12610 + }, + { + "epoch": 1.52, + "grad_norm": 0.23811744153499603, + "learning_rate": 0.00016717807928205936, + "loss": 0.816, + "step": 12615 + }, + { + "epoch": 1.52, + "grad_norm": 0.2801905870437622, + "learning_rate": 0.00016707584819584885, + "loss": 0.7269, + "step": 12620 + }, + { + "epoch": 1.52, + "grad_norm": 0.2476351410150528, + "learning_rate": 0.00016697360907317712, + "loss": 0.7855, + "step": 12625 + }, + { + "epoch": 1.52, + "grad_norm": 0.2882719933986664, + "learning_rate": 0.0001668713619621613, + "loss": 0.9298, + "step": 12630 + }, + { + "epoch": 1.52, + "grad_norm": 0.27787694334983826, + "learning_rate": 0.00016676910691092224, + "loss": 0.8385, + "step": 12635 + }, + { + "epoch": 1.52, + "grad_norm": 0.28809016942977905, + "learning_rate": 0.00016666684396758459, + "loss": 0.7968, + "step": 12640 + }, + { + "epoch": 1.52, + "grad_norm": 0.24893060326576233, + "learning_rate": 0.00016656457318027667, + "loss": 0.8045, + "step": 12645 + }, + { + "epoch": 1.52, + "grad_norm": 0.22097425162792206, + "learning_rate": 0.0001664622945971305, + "loss": 0.8332, + "step": 12650 + }, + { + "epoch": 1.52, + "grad_norm": 0.241326704621315, + "learning_rate": 0.00016636000826628184, + "loss": 0.8432, + "step": 12655 + }, + { + "epoch": 1.53, + "grad_norm": 0.2555682063102722, + "learning_rate": 0.00016625771423586991, + "loss": 0.998, + "step": 12660 + }, + { + "epoch": 1.53, + "grad_norm": 0.2659325897693634, + "learning_rate": 0.00016615541255403786, + "loss": 0.796, + "step": 12665 + }, + { + "epoch": 1.53, + "grad_norm": 0.24846947193145752, + "learning_rate": 0.0001660531032689321, + "loss": 0.8544, + "step": 12670 + }, + { + "epoch": 1.53, + "grad_norm": 0.2357734739780426, + "learning_rate": 0.0001659507864287029, + "loss": 0.8947, + "step": 12675 + }, + { + "epoch": 1.53, + "grad_norm": 0.22256316244602203, + "learning_rate": 0.00016584846208150383, + "loss": 0.7654, + "step": 12680 + }, + { + "epoch": 1.53, + "grad_norm": 0.2255926877260208, + "learning_rate": 0.00016574613027549217, + "loss": 0.9368, + "step": 12685 + }, + { + "epoch": 1.53, + "grad_norm": 0.2199205905199051, + "learning_rate": 0.00016564379105882873, + "loss": 0.8522, + "step": 12690 + }, + { + "epoch": 1.53, + "grad_norm": 0.28501272201538086, + "learning_rate": 0.0001655414444796777, + "loss": 0.9038, + "step": 12695 + }, + { + "epoch": 1.53, + "grad_norm": 0.24840682744979858, + "learning_rate": 0.0001654390905862068, + "loss": 0.8622, + "step": 12700 + }, + { + "epoch": 1.53, + "grad_norm": 0.25936436653137207, + "learning_rate": 0.00016533672942658717, + "loss": 0.7946, + "step": 12705 + }, + { + "epoch": 1.53, + "grad_norm": 0.2659285068511963, + "learning_rate": 0.0001652343610489933, + "loss": 0.8187, + "step": 12710 + }, + { + "epoch": 1.53, + "grad_norm": 0.24160555005073547, + "learning_rate": 0.00016513198550160326, + "loss": 0.7751, + "step": 12715 + }, + { + "epoch": 1.53, + "grad_norm": 0.26907095313072205, + "learning_rate": 0.00016502960283259823, + "loss": 0.807, + "step": 12720 + }, + { + "epoch": 1.53, + "grad_norm": 0.2532917559146881, + "learning_rate": 0.00016492721309016307, + "loss": 0.8671, + "step": 12725 + }, + { + "epoch": 1.53, + "grad_norm": 0.22019241750240326, + "learning_rate": 0.00016482481632248568, + "loss": 0.8272, + "step": 12730 + }, + { + "epoch": 1.53, + "grad_norm": 0.22375644743442535, + "learning_rate": 0.00016472241257775743, + "loss": 0.7704, + "step": 12735 + }, + { + "epoch": 1.54, + "grad_norm": 0.2382332682609558, + "learning_rate": 0.00016462000190417292, + "loss": 0.9716, + "step": 12740 + }, + { + "epoch": 1.54, + "grad_norm": 0.279604971408844, + "learning_rate": 0.00016451758434992997, + "loss": 0.8371, + "step": 12745 + }, + { + "epoch": 1.54, + "grad_norm": 0.2584107220172882, + "learning_rate": 0.00016441515996322973, + "loss": 0.8307, + "step": 12750 + }, + { + "epoch": 1.54, + "grad_norm": 0.24332301318645477, + "learning_rate": 0.00016431272879227648, + "loss": 0.8213, + "step": 12755 + }, + { + "epoch": 1.54, + "grad_norm": 0.2555186450481415, + "learning_rate": 0.00016421029088527775, + "loss": 0.8662, + "step": 12760 + }, + { + "epoch": 1.54, + "grad_norm": 0.21609874069690704, + "learning_rate": 0.00016410784629044422, + "loss": 0.9062, + "step": 12765 + }, + { + "epoch": 1.54, + "grad_norm": 0.23835386335849762, + "learning_rate": 0.00016400539505598974, + "loss": 0.9274, + "step": 12770 + }, + { + "epoch": 1.54, + "grad_norm": 0.24308866262435913, + "learning_rate": 0.00016390293723013124, + "loss": 0.9382, + "step": 12775 + }, + { + "epoch": 1.54, + "grad_norm": 0.2690812647342682, + "learning_rate": 0.00016380047286108874, + "loss": 0.8704, + "step": 12780 + }, + { + "epoch": 1.54, + "grad_norm": 0.24690578877925873, + "learning_rate": 0.00016369800199708546, + "loss": 0.9505, + "step": 12785 + }, + { + "epoch": 1.54, + "grad_norm": 0.27407118678092957, + "learning_rate": 0.00016359552468634748, + "loss": 0.806, + "step": 12790 + }, + { + "epoch": 1.54, + "grad_norm": 0.23908410966396332, + "learning_rate": 0.00016349304097710416, + "loss": 0.8412, + "step": 12795 + }, + { + "epoch": 1.54, + "grad_norm": 0.21888162195682526, + "learning_rate": 0.00016339055091758764, + "loss": 0.91, + "step": 12800 + }, + { + "epoch": 1.54, + "grad_norm": 0.2692570984363556, + "learning_rate": 0.00016328805455603315, + "loss": 0.8517, + "step": 12805 + }, + { + "epoch": 1.54, + "grad_norm": 0.21654078364372253, + "learning_rate": 0.00016318555194067892, + "loss": 0.9092, + "step": 12810 + }, + { + "epoch": 1.54, + "grad_norm": 0.22260205447673798, + "learning_rate": 0.00016308304311976604, + "loss": 0.7538, + "step": 12815 + }, + { + "epoch": 1.54, + "grad_norm": 0.2802688479423523, + "learning_rate": 0.00016298052814153866, + "loss": 0.9275, + "step": 12820 + }, + { + "epoch": 1.55, + "grad_norm": 0.24824702739715576, + "learning_rate": 0.00016287800705424362, + "loss": 0.8563, + "step": 12825 + }, + { + "epoch": 1.55, + "grad_norm": 0.2404843270778656, + "learning_rate": 0.00016277547990613083, + "loss": 0.9009, + "step": 12830 + }, + { + "epoch": 1.55, + "grad_norm": 0.24702101945877075, + "learning_rate": 0.00016267294674545286, + "loss": 0.9061, + "step": 12835 + }, + { + "epoch": 1.55, + "grad_norm": 0.24450421333312988, + "learning_rate": 0.0001625704076204654, + "loss": 0.9004, + "step": 12840 + }, + { + "epoch": 1.55, + "grad_norm": 0.2563953399658203, + "learning_rate": 0.00016246786257942658, + "loss": 0.9063, + "step": 12845 + }, + { + "epoch": 1.55, + "grad_norm": 0.2544556260108948, + "learning_rate": 0.00016236531167059762, + "loss": 0.8174, + "step": 12850 + }, + { + "epoch": 1.55, + "grad_norm": 0.23205184936523438, + "learning_rate": 0.00016226275494224233, + "loss": 0.8916, + "step": 12855 + }, + { + "epoch": 1.55, + "grad_norm": 0.2657812237739563, + "learning_rate": 0.00016216019244262735, + "loss": 0.8149, + "step": 12860 + }, + { + "epoch": 1.55, + "grad_norm": 0.21930214762687683, + "learning_rate": 0.00016205762422002198, + "loss": 0.8223, + "step": 12865 + }, + { + "epoch": 1.55, + "grad_norm": 0.2352408766746521, + "learning_rate": 0.00016195505032269821, + "loss": 0.8929, + "step": 12870 + }, + { + "epoch": 1.55, + "grad_norm": 0.24339045584201813, + "learning_rate": 0.00016185247079893075, + "loss": 0.919, + "step": 12875 + }, + { + "epoch": 1.55, + "grad_norm": 0.27827414870262146, + "learning_rate": 0.00016174988569699696, + "loss": 0.8859, + "step": 12880 + }, + { + "epoch": 1.55, + "grad_norm": 0.2651593089103699, + "learning_rate": 0.0001616472950651767, + "loss": 0.7699, + "step": 12885 + }, + { + "epoch": 1.55, + "grad_norm": 0.24380792677402496, + "learning_rate": 0.00016154469895175266, + "loss": 0.9605, + "step": 12890 + }, + { + "epoch": 1.55, + "grad_norm": 0.2639029920101166, + "learning_rate": 0.00016144209740500982, + "loss": 0.8723, + "step": 12895 + }, + { + "epoch": 1.55, + "grad_norm": 0.2522783577442169, + "learning_rate": 0.000161339490473236, + "loss": 0.8958, + "step": 12900 + }, + { + "epoch": 1.55, + "grad_norm": 0.2770918309688568, + "learning_rate": 0.00016123687820472139, + "loss": 0.797, + "step": 12905 + }, + { + "epoch": 1.56, + "grad_norm": 0.22492796182632446, + "learning_rate": 0.00016113426064775875, + "loss": 0.8496, + "step": 12910 + }, + { + "epoch": 1.56, + "grad_norm": 0.2644830644130707, + "learning_rate": 0.00016103163785064327, + "loss": 0.8458, + "step": 12915 + }, + { + "epoch": 1.56, + "grad_norm": 0.2638452649116516, + "learning_rate": 0.0001609290098616727, + "loss": 0.8408, + "step": 12920 + }, + { + "epoch": 1.56, + "grad_norm": 0.23867619037628174, + "learning_rate": 0.0001608263767291471, + "loss": 0.8522, + "step": 12925 + }, + { + "epoch": 1.56, + "grad_norm": 0.2165214717388153, + "learning_rate": 0.00016072373850136912, + "loss": 0.9328, + "step": 12930 + }, + { + "epoch": 1.56, + "grad_norm": 0.2513158619403839, + "learning_rate": 0.00016062109522664366, + "loss": 0.8523, + "step": 12935 + }, + { + "epoch": 1.56, + "grad_norm": 0.22370438277721405, + "learning_rate": 0.00016051844695327806, + "loss": 0.8542, + "step": 12940 + }, + { + "epoch": 1.56, + "grad_norm": 0.2550356090068817, + "learning_rate": 0.000160415793729582, + "loss": 0.9122, + "step": 12945 + }, + { + "epoch": 1.56, + "grad_norm": 0.23933614790439606, + "learning_rate": 0.00016031313560386758, + "loss": 0.8236, + "step": 12950 + }, + { + "epoch": 1.56, + "grad_norm": 0.2359176129102707, + "learning_rate": 0.000160210472624449, + "loss": 0.8815, + "step": 12955 + }, + { + "epoch": 1.56, + "grad_norm": 0.2673303186893463, + "learning_rate": 0.00016010780483964295, + "loss": 0.8111, + "step": 12960 + }, + { + "epoch": 1.56, + "grad_norm": 0.2548558712005615, + "learning_rate": 0.00016000513229776826, + "loss": 0.919, + "step": 12965 + }, + { + "epoch": 1.56, + "grad_norm": 0.27557799220085144, + "learning_rate": 0.00015990245504714608, + "loss": 0.7909, + "step": 12970 + }, + { + "epoch": 1.56, + "grad_norm": 0.285546213388443, + "learning_rate": 0.00015979977313609965, + "loss": 0.8933, + "step": 12975 + }, + { + "epoch": 1.56, + "grad_norm": 0.2725813090801239, + "learning_rate": 0.00015969708661295456, + "loss": 0.8644, + "step": 12980 + }, + { + "epoch": 1.56, + "grad_norm": 0.23822170495986938, + "learning_rate": 0.0001595943955260385, + "loss": 0.8707, + "step": 12985 + }, + { + "epoch": 1.57, + "grad_norm": 0.2242768406867981, + "learning_rate": 0.0001594916999236813, + "loss": 0.7392, + "step": 12990 + }, + { + "epoch": 1.57, + "grad_norm": 0.21174441277980804, + "learning_rate": 0.00015938899985421486, + "loss": 0.794, + "step": 12995 + }, + { + "epoch": 1.57, + "grad_norm": 0.24703176319599152, + "learning_rate": 0.00015928629536597332, + "loss": 0.8355, + "step": 13000 + }, + { + "epoch": 1.57, + "grad_norm": 0.22385214269161224, + "learning_rate": 0.00015918358650729276, + "loss": 0.763, + "step": 13005 + }, + { + "epoch": 1.57, + "grad_norm": 0.24205328524112701, + "learning_rate": 0.00015908087332651142, + "loss": 0.86, + "step": 13010 + }, + { + "epoch": 1.57, + "grad_norm": 0.256166011095047, + "learning_rate": 0.00015897815587196954, + "loss": 0.8247, + "step": 13015 + }, + { + "epoch": 1.57, + "grad_norm": 0.2543538212776184, + "learning_rate": 0.00015887543419200936, + "loss": 0.9216, + "step": 13020 + }, + { + "epoch": 1.57, + "grad_norm": 0.2570268511772156, + "learning_rate": 0.0001587727083349751, + "loss": 0.8575, + "step": 13025 + }, + { + "epoch": 1.57, + "grad_norm": 0.29525551199913025, + "learning_rate": 0.000158669978349213, + "loss": 0.9212, + "step": 13030 + }, + { + "epoch": 1.57, + "grad_norm": 0.23510275781154633, + "learning_rate": 0.0001585672442830711, + "loss": 0.8684, + "step": 13035 + }, + { + "epoch": 1.57, + "grad_norm": 0.23046576976776123, + "learning_rate": 0.00015846450618489958, + "loss": 0.7974, + "step": 13040 + }, + { + "epoch": 1.57, + "grad_norm": 0.2453136444091797, + "learning_rate": 0.0001583617641030503, + "loss": 0.832, + "step": 13045 + }, + { + "epoch": 1.57, + "grad_norm": 0.27528902888298035, + "learning_rate": 0.0001582590180858772, + "loss": 0.7578, + "step": 13050 + }, + { + "epoch": 1.57, + "grad_norm": 0.2460784763097763, + "learning_rate": 0.0001581562681817359, + "loss": 0.8231, + "step": 13055 + }, + { + "epoch": 1.57, + "grad_norm": 0.29714435338974, + "learning_rate": 0.00015805351443898388, + "loss": 0.7481, + "step": 13060 + }, + { + "epoch": 1.57, + "grad_norm": 0.22743813693523407, + "learning_rate": 0.0001579507569059806, + "loss": 0.7635, + "step": 13065 + }, + { + "epoch": 1.57, + "grad_norm": 0.24308447539806366, + "learning_rate": 0.00015784799563108706, + "loss": 0.8822, + "step": 13070 + }, + { + "epoch": 1.58, + "grad_norm": 0.2288735806941986, + "learning_rate": 0.00015774523066266612, + "loss": 0.8427, + "step": 13075 + }, + { + "epoch": 1.58, + "grad_norm": 0.23703986406326294, + "learning_rate": 0.00015764246204908245, + "loss": 0.9294, + "step": 13080 + }, + { + "epoch": 1.58, + "grad_norm": 0.2489616721868515, + "learning_rate": 0.0001575396898387023, + "loss": 0.9377, + "step": 13085 + }, + { + "epoch": 1.58, + "grad_norm": 0.25076568126678467, + "learning_rate": 0.00015743691407989378, + "loss": 0.9284, + "step": 13090 + }, + { + "epoch": 1.58, + "grad_norm": 0.247811421751976, + "learning_rate": 0.00015733413482102652, + "loss": 0.867, + "step": 13095 + }, + { + "epoch": 1.58, + "grad_norm": 0.2610926330089569, + "learning_rate": 0.00015723135211047186, + "loss": 0.8203, + "step": 13100 + }, + { + "epoch": 1.58, + "grad_norm": 0.2661215662956238, + "learning_rate": 0.00015712856599660267, + "loss": 0.9256, + "step": 13105 + }, + { + "epoch": 1.58, + "grad_norm": 0.22630742192268372, + "learning_rate": 0.00015702577652779368, + "loss": 0.8556, + "step": 13110 + }, + { + "epoch": 1.58, + "grad_norm": 0.3097597360610962, + "learning_rate": 0.00015692298375242087, + "loss": 0.8452, + "step": 13115 + }, + { + "epoch": 1.58, + "grad_norm": 0.2603763937950134, + "learning_rate": 0.00015682018771886203, + "loss": 0.8142, + "step": 13120 + }, + { + "epoch": 1.58, + "grad_norm": 0.2540077865123749, + "learning_rate": 0.00015671738847549633, + "loss": 0.9639, + "step": 13125 + }, + { + "epoch": 1.58, + "grad_norm": 0.24496349692344666, + "learning_rate": 0.0001566145860707046, + "loss": 1.0137, + "step": 13130 + }, + { + "epoch": 1.58, + "grad_norm": 0.2169584482908249, + "learning_rate": 0.00015651178055286897, + "loss": 0.9417, + "step": 13135 + }, + { + "epoch": 1.58, + "grad_norm": 0.23268476128578186, + "learning_rate": 0.0001564089719703732, + "loss": 0.91, + "step": 13140 + }, + { + "epoch": 1.58, + "grad_norm": 0.21907760202884674, + "learning_rate": 0.0001563061603716023, + "loss": 0.8338, + "step": 13145 + }, + { + "epoch": 1.58, + "grad_norm": 0.24328762292861938, + "learning_rate": 0.00015620334580494297, + "loss": 0.872, + "step": 13150 + }, + { + "epoch": 1.59, + "grad_norm": 0.26593923568725586, + "learning_rate": 0.00015610052831878304, + "loss": 0.9121, + "step": 13155 + }, + { + "epoch": 1.59, + "grad_norm": 0.2493075728416443, + "learning_rate": 0.00015599770796151196, + "loss": 0.8829, + "step": 13160 + }, + { + "epoch": 1.59, + "grad_norm": 0.2412213832139969, + "learning_rate": 0.00015589488478152027, + "loss": 0.8247, + "step": 13165 + }, + { + "epoch": 1.59, + "grad_norm": 0.2626934349536896, + "learning_rate": 0.00015579205882720014, + "loss": 0.8603, + "step": 13170 + }, + { + "epoch": 1.59, + "grad_norm": 0.2839190363883972, + "learning_rate": 0.0001556892301469447, + "loss": 0.8257, + "step": 13175 + }, + { + "epoch": 1.59, + "grad_norm": 0.28261008858680725, + "learning_rate": 0.0001555863987891486, + "loss": 0.7699, + "step": 13180 + }, + { + "epoch": 1.59, + "grad_norm": 0.2586536109447479, + "learning_rate": 0.00015548356480220773, + "loss": 0.9528, + "step": 13185 + }, + { + "epoch": 1.59, + "grad_norm": 0.25561654567718506, + "learning_rate": 0.0001553807282345192, + "loss": 0.809, + "step": 13190 + }, + { + "epoch": 1.59, + "grad_norm": 0.24702797830104828, + "learning_rate": 0.00015527788913448124, + "loss": 0.9084, + "step": 13195 + }, + { + "epoch": 1.59, + "grad_norm": 0.22921974956989288, + "learning_rate": 0.0001551750475504934, + "loss": 0.8321, + "step": 13200 + }, + { + "epoch": 1.59, + "grad_norm": 0.2360827922821045, + "learning_rate": 0.0001550722035309563, + "loss": 0.8252, + "step": 13205 + }, + { + "epoch": 1.59, + "grad_norm": 0.24088476598262787, + "learning_rate": 0.00015496935712427183, + "loss": 0.7994, + "step": 13210 + }, + { + "epoch": 1.59, + "grad_norm": 0.22839505970478058, + "learning_rate": 0.00015486650837884277, + "loss": 0.891, + "step": 13215 + }, + { + "epoch": 1.59, + "grad_norm": 0.257959246635437, + "learning_rate": 0.00015476365734307335, + "loss": 0.853, + "step": 13220 + }, + { + "epoch": 1.59, + "grad_norm": 0.23323047161102295, + "learning_rate": 0.00015466080406536853, + "loss": 0.8453, + "step": 13225 + }, + { + "epoch": 1.59, + "grad_norm": 0.24002352356910706, + "learning_rate": 0.00015455794859413458, + "loss": 0.7921, + "step": 13230 + }, + { + "epoch": 1.59, + "grad_norm": 0.270093709230423, + "learning_rate": 0.0001544550909777786, + "loss": 0.8082, + "step": 13235 + }, + { + "epoch": 1.6, + "grad_norm": 0.25525951385498047, + "learning_rate": 0.0001543522312647089, + "loss": 0.9131, + "step": 13240 + }, + { + "epoch": 1.6, + "grad_norm": 0.26229140162467957, + "learning_rate": 0.00015424936950333463, + "loss": 0.9213, + "step": 13245 + }, + { + "epoch": 1.6, + "grad_norm": 0.25442442297935486, + "learning_rate": 0.00015414650574206595, + "loss": 0.8611, + "step": 13250 + }, + { + "epoch": 1.6, + "grad_norm": 0.2250799685716629, + "learning_rate": 0.00015404364002931397, + "loss": 0.8195, + "step": 13255 + }, + { + "epoch": 1.6, + "grad_norm": 0.2337421178817749, + "learning_rate": 0.00015394077241349073, + "loss": 0.8752, + "step": 13260 + }, + { + "epoch": 1.6, + "grad_norm": 0.2822083830833435, + "learning_rate": 0.00015383790294300908, + "loss": 0.8054, + "step": 13265 + }, + { + "epoch": 1.6, + "grad_norm": 0.25542697310447693, + "learning_rate": 0.00015373503166628288, + "loss": 0.8523, + "step": 13270 + }, + { + "epoch": 1.6, + "grad_norm": 0.23330925405025482, + "learning_rate": 0.00015363215863172671, + "loss": 0.9308, + "step": 13275 + }, + { + "epoch": 1.6, + "grad_norm": 0.3322324752807617, + "learning_rate": 0.00015352928388775612, + "loss": 0.8854, + "step": 13280 + }, + { + "epoch": 1.6, + "grad_norm": 0.2551574110984802, + "learning_rate": 0.00015342640748278725, + "loss": 0.8225, + "step": 13285 + }, + { + "epoch": 1.6, + "grad_norm": 0.2288314402103424, + "learning_rate": 0.00015332352946523733, + "loss": 0.8141, + "step": 13290 + }, + { + "epoch": 1.6, + "grad_norm": 0.28480198979377747, + "learning_rate": 0.000153220649883524, + "loss": 0.7063, + "step": 13295 + }, + { + "epoch": 1.6, + "grad_norm": 0.26448380947113037, + "learning_rate": 0.0001531177687860659, + "loss": 0.8755, + "step": 13300 + }, + { + "epoch": 1.6, + "grad_norm": 0.29811567068099976, + "learning_rate": 0.00015301488622128224, + "loss": 0.867, + "step": 13305 + }, + { + "epoch": 1.6, + "grad_norm": 0.2261502593755722, + "learning_rate": 0.00015291200223759306, + "loss": 0.881, + "step": 13310 + }, + { + "epoch": 1.6, + "grad_norm": 0.26991018652915955, + "learning_rate": 0.0001528091168834189, + "loss": 0.835, + "step": 13315 + }, + { + "epoch": 1.6, + "grad_norm": 0.2542611062526703, + "learning_rate": 0.00015270623020718102, + "loss": 0.8976, + "step": 13320 + }, + { + "epoch": 1.61, + "grad_norm": 0.2485206127166748, + "learning_rate": 0.00015260334225730137, + "loss": 0.8939, + "step": 13325 + }, + { + "epoch": 1.61, + "grad_norm": 0.26317083835601807, + "learning_rate": 0.00015250045308220236, + "loss": 0.8537, + "step": 13330 + }, + { + "epoch": 1.61, + "grad_norm": 0.23447948694229126, + "learning_rate": 0.00015239756273030715, + "loss": 0.8983, + "step": 13335 + }, + { + "epoch": 1.61, + "grad_norm": 0.25760382413864136, + "learning_rate": 0.00015229467125003925, + "loss": 0.7641, + "step": 13340 + }, + { + "epoch": 1.61, + "grad_norm": 0.24973775446414948, + "learning_rate": 0.00015219177868982286, + "loss": 0.8753, + "step": 13345 + }, + { + "epoch": 1.61, + "grad_norm": 0.26316988468170166, + "learning_rate": 0.00015208888509808267, + "loss": 0.9377, + "step": 13350 + }, + { + "epoch": 1.61, + "grad_norm": 0.23706527054309845, + "learning_rate": 0.00015198599052324377, + "loss": 0.8637, + "step": 13355 + }, + { + "epoch": 1.61, + "grad_norm": 0.2416650950908661, + "learning_rate": 0.00015188309501373175, + "loss": 0.8773, + "step": 13360 + }, + { + "epoch": 1.61, + "grad_norm": 0.24447450041770935, + "learning_rate": 0.0001517801986179727, + "loss": 0.8913, + "step": 13365 + }, + { + "epoch": 1.61, + "grad_norm": 0.24984611570835114, + "learning_rate": 0.00015167730138439305, + "loss": 0.8512, + "step": 13370 + }, + { + "epoch": 1.61, + "grad_norm": 0.2462444007396698, + "learning_rate": 0.00015157440336141967, + "loss": 0.934, + "step": 13375 + }, + { + "epoch": 1.61, + "grad_norm": 0.23950566351413727, + "learning_rate": 0.0001514715045974798, + "loss": 0.8259, + "step": 13380 + }, + { + "epoch": 1.61, + "grad_norm": 0.23663043975830078, + "learning_rate": 0.000151368605141001, + "loss": 0.7744, + "step": 13385 + }, + { + "epoch": 1.61, + "grad_norm": 0.2686599791049957, + "learning_rate": 0.00015126570504041115, + "loss": 0.8617, + "step": 13390 + }, + { + "epoch": 1.61, + "grad_norm": 0.22998297214508057, + "learning_rate": 0.0001511628043441385, + "loss": 0.8539, + "step": 13395 + }, + { + "epoch": 1.61, + "grad_norm": 0.2632577121257782, + "learning_rate": 0.00015105990310061146, + "loss": 0.8452, + "step": 13400 + }, + { + "epoch": 1.62, + "grad_norm": 0.2295655459165573, + "learning_rate": 0.00015095700135825887, + "loss": 0.9384, + "step": 13405 + }, + { + "epoch": 1.62, + "grad_norm": 0.24616779386997223, + "learning_rate": 0.00015085409916550961, + "loss": 0.8459, + "step": 13410 + }, + { + "epoch": 1.62, + "grad_norm": 0.25910162925720215, + "learning_rate": 0.00015075119657079298, + "loss": 0.8525, + "step": 13415 + }, + { + "epoch": 1.62, + "grad_norm": 0.22823968529701233, + "learning_rate": 0.00015064829362253828, + "loss": 0.8893, + "step": 13420 + }, + { + "epoch": 1.62, + "grad_norm": 0.2842884063720703, + "learning_rate": 0.0001505453903691751, + "loss": 0.806, + "step": 13425 + }, + { + "epoch": 1.62, + "grad_norm": 0.24456340074539185, + "learning_rate": 0.00015044248685913304, + "loss": 0.871, + "step": 13430 + }, + { + "epoch": 1.62, + "grad_norm": 0.23443590104579926, + "learning_rate": 0.00015033958314084202, + "loss": 0.8712, + "step": 13435 + }, + { + "epoch": 1.62, + "grad_norm": 0.28807491064071655, + "learning_rate": 0.00015023667926273183, + "loss": 0.8278, + "step": 13440 + }, + { + "epoch": 1.62, + "grad_norm": 0.28618142008781433, + "learning_rate": 0.00015013377527323257, + "loss": 0.9076, + "step": 13445 + }, + { + "epoch": 1.62, + "grad_norm": 0.2491266131401062, + "learning_rate": 0.0001500308712207742, + "loss": 0.8047, + "step": 13450 + }, + { + "epoch": 1.62, + "grad_norm": 0.25134310126304626, + "learning_rate": 0.00014992796715378686, + "loss": 0.8135, + "step": 13455 + }, + { + "epoch": 1.62, + "grad_norm": 0.2570821940898895, + "learning_rate": 0.00014982506312070053, + "loss": 0.8727, + "step": 13460 + }, + { + "epoch": 1.62, + "grad_norm": 0.23932205140590668, + "learning_rate": 0.0001497221591699453, + "loss": 0.8599, + "step": 13465 + }, + { + "epoch": 1.62, + "grad_norm": 0.274517685174942, + "learning_rate": 0.00014961925534995118, + "loss": 0.8436, + "step": 13470 + }, + { + "epoch": 1.62, + "grad_norm": 0.24874992668628693, + "learning_rate": 0.0001495163517091482, + "loss": 0.8423, + "step": 13475 + }, + { + "epoch": 1.62, + "grad_norm": 0.23968589305877686, + "learning_rate": 0.00014941344829596612, + "loss": 0.9005, + "step": 13480 + }, + { + "epoch": 1.62, + "grad_norm": 0.25740721821784973, + "learning_rate": 0.00014931054515883473, + "loss": 0.8737, + "step": 13485 + }, + { + "epoch": 1.63, + "grad_norm": 0.22568397223949432, + "learning_rate": 0.00014920764234618373, + "loss": 0.9345, + "step": 13490 + }, + { + "epoch": 1.63, + "grad_norm": 0.2677795886993408, + "learning_rate": 0.00014910473990644254, + "loss": 0.8573, + "step": 13495 + }, + { + "epoch": 1.63, + "grad_norm": 0.2688808739185333, + "learning_rate": 0.00014900183788804048, + "loss": 0.8759, + "step": 13500 + }, + { + "epoch": 1.63, + "grad_norm": 0.25429514050483704, + "learning_rate": 0.0001488989363394066, + "loss": 0.7835, + "step": 13505 + }, + { + "epoch": 1.63, + "grad_norm": 0.3000656068325043, + "learning_rate": 0.00014879603530896992, + "loss": 0.8517, + "step": 13510 + }, + { + "epoch": 1.63, + "grad_norm": 0.2686077356338501, + "learning_rate": 0.00014869313484515897, + "loss": 0.9386, + "step": 13515 + }, + { + "epoch": 1.63, + "grad_norm": 0.2108505368232727, + "learning_rate": 0.0001485902349964022, + "loss": 0.8535, + "step": 13520 + }, + { + "epoch": 1.63, + "grad_norm": 0.2740882635116577, + "learning_rate": 0.0001484873358111276, + "loss": 0.9123, + "step": 13525 + }, + { + "epoch": 1.63, + "grad_norm": 0.234098881483078, + "learning_rate": 0.00014838443733776306, + "loss": 0.8044, + "step": 13530 + }, + { + "epoch": 1.63, + "grad_norm": 0.2779216468334198, + "learning_rate": 0.00014828153962473593, + "loss": 0.8323, + "step": 13535 + }, + { + "epoch": 1.63, + "grad_norm": 0.24527031183242798, + "learning_rate": 0.00014817864272047334, + "loss": 0.8261, + "step": 13540 + }, + { + "epoch": 1.63, + "grad_norm": 0.2469957321882248, + "learning_rate": 0.00014807574667340188, + "loss": 0.836, + "step": 13545 + }, + { + "epoch": 1.63, + "grad_norm": 0.24512287974357605, + "learning_rate": 0.00014797285153194805, + "loss": 0.799, + "step": 13550 + }, + { + "epoch": 1.63, + "grad_norm": 0.26496610045433044, + "learning_rate": 0.00014786995734453756, + "loss": 0.8458, + "step": 13555 + }, + { + "epoch": 1.63, + "grad_norm": 0.2510302662849426, + "learning_rate": 0.0001477670641595959, + "loss": 0.8904, + "step": 13560 + }, + { + "epoch": 1.63, + "grad_norm": 0.22821520268917084, + "learning_rate": 0.00014766417202554798, + "loss": 0.8772, + "step": 13565 + }, + { + "epoch": 1.64, + "grad_norm": 0.27513188123703003, + "learning_rate": 0.0001475612809908183, + "loss": 0.81, + "step": 13570 + }, + { + "epoch": 1.64, + "grad_norm": 0.24558843672275543, + "learning_rate": 0.00014745839110383077, + "loss": 0.7985, + "step": 13575 + }, + { + "epoch": 1.64, + "grad_norm": 0.26508501172065735, + "learning_rate": 0.0001473555024130088, + "loss": 0.8178, + "step": 13580 + }, + { + "epoch": 1.64, + "grad_norm": 0.23892903327941895, + "learning_rate": 0.00014725261496677513, + "loss": 0.8101, + "step": 13585 + }, + { + "epoch": 1.64, + "grad_norm": 0.24258942902088165, + "learning_rate": 0.00014714972881355216, + "loss": 0.875, + "step": 13590 + }, + { + "epoch": 1.64, + "grad_norm": 0.26198121905326843, + "learning_rate": 0.0001470468440017615, + "loss": 0.8671, + "step": 13595 + }, + { + "epoch": 1.64, + "grad_norm": 0.22335876524448395, + "learning_rate": 0.0001469439605798241, + "loss": 0.7895, + "step": 13600 + }, + { + "epoch": 1.64, + "grad_norm": 0.21281731128692627, + "learning_rate": 0.0001468410785961603, + "loss": 0.8186, + "step": 13605 + }, + { + "epoch": 1.64, + "grad_norm": 0.26256877183914185, + "learning_rate": 0.00014673819809918985, + "loss": 0.8658, + "step": 13610 + }, + { + "epoch": 1.64, + "grad_norm": 0.2902090549468994, + "learning_rate": 0.0001466353191373317, + "loss": 0.8785, + "step": 13615 + }, + { + "epoch": 1.64, + "grad_norm": 0.2701566815376282, + "learning_rate": 0.0001465324417590041, + "loss": 0.9397, + "step": 13620 + }, + { + "epoch": 1.64, + "grad_norm": 0.2777699828147888, + "learning_rate": 0.00014642956601262452, + "loss": 0.8809, + "step": 13625 + }, + { + "epoch": 1.64, + "grad_norm": 0.24040934443473816, + "learning_rate": 0.0001463266919466098, + "loss": 0.9082, + "step": 13630 + }, + { + "epoch": 1.64, + "grad_norm": 0.2828356623649597, + "learning_rate": 0.0001462238196093758, + "loss": 0.8458, + "step": 13635 + }, + { + "epoch": 1.64, + "grad_norm": 0.24517838656902313, + "learning_rate": 0.00014612094904933772, + "loss": 0.9284, + "step": 13640 + }, + { + "epoch": 1.64, + "grad_norm": 0.23123225569725037, + "learning_rate": 0.00014601808031490982, + "loss": 0.7244, + "step": 13645 + }, + { + "epoch": 1.64, + "grad_norm": 0.23790529370307922, + "learning_rate": 0.00014591521345450558, + "loss": 0.7898, + "step": 13650 + }, + { + "epoch": 1.65, + "grad_norm": 0.2609568238258362, + "learning_rate": 0.00014581234851653753, + "loss": 0.8663, + "step": 13655 + }, + { + "epoch": 1.65, + "grad_norm": 0.36788272857666016, + "learning_rate": 0.00014570948554941735, + "loss": 0.8454, + "step": 13660 + }, + { + "epoch": 1.65, + "grad_norm": 0.23802486062049866, + "learning_rate": 0.0001456066246015557, + "loss": 0.9379, + "step": 13665 + }, + { + "epoch": 1.65, + "grad_norm": 0.26445284485816956, + "learning_rate": 0.00014550376572136246, + "loss": 0.9054, + "step": 13670 + }, + { + "epoch": 1.65, + "grad_norm": 0.23677241802215576, + "learning_rate": 0.0001454009089572464, + "loss": 0.7262, + "step": 13675 + }, + { + "epoch": 1.65, + "grad_norm": 0.2473301738500595, + "learning_rate": 0.0001452980543576153, + "loss": 0.7921, + "step": 13680 + }, + { + "epoch": 1.65, + "grad_norm": 0.25561195611953735, + "learning_rate": 0.0001451952019708759, + "loss": 0.8822, + "step": 13685 + }, + { + "epoch": 1.65, + "grad_norm": 0.27183815836906433, + "learning_rate": 0.0001450923518454341, + "loss": 0.9218, + "step": 13690 + }, + { + "epoch": 1.65, + "grad_norm": 0.22998422384262085, + "learning_rate": 0.0001449895040296945, + "loss": 0.909, + "step": 13695 + }, + { + "epoch": 1.65, + "grad_norm": 0.2734430730342865, + "learning_rate": 0.00014488665857206065, + "loss": 0.8962, + "step": 13700 + }, + { + "epoch": 1.65, + "grad_norm": 0.23932689428329468, + "learning_rate": 0.0001447838155209351, + "loss": 0.8714, + "step": 13705 + }, + { + "epoch": 1.65, + "grad_norm": 0.25987210869789124, + "learning_rate": 0.0001446809749247192, + "loss": 0.7435, + "step": 13710 + }, + { + "epoch": 1.65, + "grad_norm": 0.2543168365955353, + "learning_rate": 0.00014457813683181316, + "loss": 0.8738, + "step": 13715 + }, + { + "epoch": 1.65, + "grad_norm": 0.3010767698287964, + "learning_rate": 0.00014447530129061597, + "loss": 0.7546, + "step": 13720 + }, + { + "epoch": 1.65, + "grad_norm": 0.24551789462566376, + "learning_rate": 0.00014437246834952537, + "loss": 0.8564, + "step": 13725 + }, + { + "epoch": 1.65, + "grad_norm": 0.22315555810928345, + "learning_rate": 0.00014426963805693816, + "loss": 0.8453, + "step": 13730 + }, + { + "epoch": 1.65, + "grad_norm": 0.2511034905910492, + "learning_rate": 0.00014416681046124953, + "loss": 0.7888, + "step": 13735 + }, + { + "epoch": 1.66, + "grad_norm": 0.28927719593048096, + "learning_rate": 0.00014406398561085364, + "loss": 0.8495, + "step": 13740 + }, + { + "epoch": 1.66, + "grad_norm": 0.23084275424480438, + "learning_rate": 0.00014396116355414322, + "loss": 0.8212, + "step": 13745 + }, + { + "epoch": 1.66, + "grad_norm": 0.29675766825675964, + "learning_rate": 0.0001438583443395098, + "loss": 0.97, + "step": 13750 + }, + { + "epoch": 1.66, + "grad_norm": 0.27987009286880493, + "learning_rate": 0.00014375552801534352, + "loss": 0.8982, + "step": 13755 + }, + { + "epoch": 1.66, + "grad_norm": 0.21575410664081573, + "learning_rate": 0.00014365271463003307, + "loss": 0.9205, + "step": 13760 + }, + { + "epoch": 1.66, + "grad_norm": 0.27890732884407043, + "learning_rate": 0.0001435499042319659, + "loss": 0.8773, + "step": 13765 + }, + { + "epoch": 1.66, + "grad_norm": 0.23023445904254913, + "learning_rate": 0.00014344709686952802, + "loss": 0.9438, + "step": 13770 + }, + { + "epoch": 1.66, + "grad_norm": 0.2396959662437439, + "learning_rate": 0.000143344292591104, + "loss": 0.8498, + "step": 13775 + }, + { + "epoch": 1.66, + "grad_norm": 0.2347070574760437, + "learning_rate": 0.0001432414914450769, + "loss": 0.8571, + "step": 13780 + }, + { + "epoch": 1.66, + "grad_norm": 0.2968361973762512, + "learning_rate": 0.00014313869347982831, + "loss": 0.7974, + "step": 13785 + }, + { + "epoch": 1.66, + "grad_norm": 0.26392439007759094, + "learning_rate": 0.0001430358987437385, + "loss": 0.8104, + "step": 13790 + }, + { + "epoch": 1.66, + "grad_norm": 0.25702106952667236, + "learning_rate": 0.000142933107285186, + "loss": 0.8631, + "step": 13795 + }, + { + "epoch": 1.66, + "grad_norm": 0.25434088706970215, + "learning_rate": 0.0001428303191525479, + "loss": 0.8464, + "step": 13800 + }, + { + "epoch": 1.66, + "grad_norm": 0.23187103867530823, + "learning_rate": 0.00014272753439419962, + "loss": 0.8209, + "step": 13805 + }, + { + "epoch": 1.66, + "grad_norm": 0.2695891261100769, + "learning_rate": 0.00014262475305851523, + "loss": 0.8192, + "step": 13810 + }, + { + "epoch": 1.66, + "grad_norm": 0.24711039662361145, + "learning_rate": 0.000142521975193867, + "loss": 0.9271, + "step": 13815 + }, + { + "epoch": 1.67, + "grad_norm": 0.25541651248931885, + "learning_rate": 0.00014241920084862554, + "loss": 0.8063, + "step": 13820 + }, + { + "epoch": 1.67, + "grad_norm": 0.22565728425979614, + "learning_rate": 0.00014231643007115994, + "loss": 0.8552, + "step": 13825 + }, + { + "epoch": 1.67, + "grad_norm": 0.24936147034168243, + "learning_rate": 0.0001422136629098375, + "loss": 0.872, + "step": 13830 + }, + { + "epoch": 1.67, + "grad_norm": 0.29638171195983887, + "learning_rate": 0.0001421108994130239, + "loss": 0.9048, + "step": 13835 + }, + { + "epoch": 1.67, + "grad_norm": 0.23596297204494476, + "learning_rate": 0.00014200813962908293, + "loss": 0.7751, + "step": 13840 + }, + { + "epoch": 1.67, + "grad_norm": 0.23561915755271912, + "learning_rate": 0.00014190538360637695, + "loss": 0.8732, + "step": 13845 + }, + { + "epoch": 1.67, + "grad_norm": 0.24926547706127167, + "learning_rate": 0.00014180263139326624, + "loss": 0.8895, + "step": 13850 + }, + { + "epoch": 1.67, + "grad_norm": 0.30811989307403564, + "learning_rate": 0.00014169988303810942, + "loss": 0.8066, + "step": 13855 + }, + { + "epoch": 1.67, + "grad_norm": 0.243475079536438, + "learning_rate": 0.00014159713858926323, + "loss": 0.8425, + "step": 13860 + }, + { + "epoch": 1.67, + "grad_norm": 0.23428189754486084, + "learning_rate": 0.00014149439809508273, + "loss": 0.8981, + "step": 13865 + }, + { + "epoch": 1.67, + "grad_norm": 0.26283276081085205, + "learning_rate": 0.00014139166160392094, + "loss": 0.8915, + "step": 13870 + }, + { + "epoch": 1.67, + "grad_norm": 0.2469039112329483, + "learning_rate": 0.00014128892916412907, + "loss": 0.7645, + "step": 13875 + }, + { + "epoch": 1.67, + "grad_norm": 0.2410871535539627, + "learning_rate": 0.00014118620082405637, + "loss": 0.811, + "step": 13880 + }, + { + "epoch": 1.67, + "grad_norm": 0.23918049037456512, + "learning_rate": 0.00014108347663205033, + "loss": 0.7641, + "step": 13885 + }, + { + "epoch": 1.67, + "grad_norm": 0.2121327817440033, + "learning_rate": 0.00014098075663645628, + "loss": 0.9609, + "step": 13890 + }, + { + "epoch": 1.67, + "grad_norm": 0.2228885442018509, + "learning_rate": 0.0001408780408856177, + "loss": 0.9062, + "step": 13895 + }, + { + "epoch": 1.67, + "grad_norm": 0.23560738563537598, + "learning_rate": 0.0001407753294278759, + "loss": 0.7888, + "step": 13900 + }, + { + "epoch": 1.68, + "grad_norm": 0.25033679604530334, + "learning_rate": 0.0001406726223115705, + "loss": 0.8781, + "step": 13905 + }, + { + "epoch": 1.68, + "grad_norm": 0.26739415526390076, + "learning_rate": 0.00014056991958503882, + "loss": 0.8365, + "step": 13910 + }, + { + "epoch": 1.68, + "grad_norm": 0.24519668519496918, + "learning_rate": 0.0001404672212966161, + "loss": 0.9437, + "step": 13915 + }, + { + "epoch": 1.68, + "grad_norm": 0.232150599360466, + "learning_rate": 0.0001403645274946356, + "loss": 0.7994, + "step": 13920 + }, + { + "epoch": 1.68, + "grad_norm": 0.25735652446746826, + "learning_rate": 0.00014026183822742847, + "loss": 0.8427, + "step": 13925 + }, + { + "epoch": 1.68, + "grad_norm": 0.2597762644290924, + "learning_rate": 0.00014015915354332367, + "loss": 0.8662, + "step": 13930 + }, + { + "epoch": 1.68, + "grad_norm": 0.2447414994239807, + "learning_rate": 0.000140056473490648, + "loss": 0.8525, + "step": 13935 + }, + { + "epoch": 1.68, + "grad_norm": 0.24776887893676758, + "learning_rate": 0.0001399537981177261, + "loss": 0.7445, + "step": 13940 + }, + { + "epoch": 1.68, + "grad_norm": 0.2430184930562973, + "learning_rate": 0.00013985112747288048, + "loss": 0.8798, + "step": 13945 + }, + { + "epoch": 1.68, + "grad_norm": 0.26686951518058777, + "learning_rate": 0.00013974846160443128, + "loss": 0.8167, + "step": 13950 + }, + { + "epoch": 1.68, + "grad_norm": 0.2600416839122772, + "learning_rate": 0.0001396458005606965, + "loss": 0.7542, + "step": 13955 + }, + { + "epoch": 1.68, + "grad_norm": 0.262658953666687, + "learning_rate": 0.0001395431443899918, + "loss": 0.8568, + "step": 13960 + }, + { + "epoch": 1.68, + "grad_norm": 0.24480225145816803, + "learning_rate": 0.00013944049314063063, + "loss": 0.8143, + "step": 13965 + }, + { + "epoch": 1.68, + "grad_norm": 0.25501397252082825, + "learning_rate": 0.0001393378468609241, + "loss": 0.7804, + "step": 13970 + }, + { + "epoch": 1.68, + "grad_norm": 0.24708352982997894, + "learning_rate": 0.00013923520559918086, + "loss": 0.8356, + "step": 13975 + }, + { + "epoch": 1.68, + "grad_norm": 0.2388540506362915, + "learning_rate": 0.00013913256940370733, + "loss": 0.876, + "step": 13980 + }, + { + "epoch": 1.69, + "grad_norm": 0.2332463413476944, + "learning_rate": 0.00013902993832280757, + "loss": 0.7916, + "step": 13985 + }, + { + "epoch": 1.69, + "grad_norm": 0.2795470058917999, + "learning_rate": 0.00013892731240478317, + "loss": 0.8881, + "step": 13990 + }, + { + "epoch": 1.69, + "grad_norm": 0.2751898169517517, + "learning_rate": 0.00013882469169793324, + "loss": 0.7779, + "step": 13995 + }, + { + "epoch": 1.69, + "grad_norm": 0.27980801463127136, + "learning_rate": 0.00013872207625055449, + "loss": 0.8326, + "step": 14000 + }, + { + "epoch": 1.69, + "grad_norm": 0.2469402402639389, + "learning_rate": 0.00013861946611094125, + "loss": 0.85, + "step": 14005 + }, + { + "epoch": 1.69, + "grad_norm": 0.23618659377098083, + "learning_rate": 0.00013851686132738516, + "loss": 0.7895, + "step": 14010 + }, + { + "epoch": 1.69, + "grad_norm": 0.25577905774116516, + "learning_rate": 0.00013841426194817548, + "loss": 0.8099, + "step": 14015 + }, + { + "epoch": 1.69, + "grad_norm": 0.23130281269550323, + "learning_rate": 0.0001383116680215988, + "loss": 0.9164, + "step": 14020 + }, + { + "epoch": 1.69, + "grad_norm": 0.2609565258026123, + "learning_rate": 0.00013820907959593938, + "loss": 0.8081, + "step": 14025 + }, + { + "epoch": 1.69, + "grad_norm": 0.24102197587490082, + "learning_rate": 0.00013810649671947868, + "loss": 0.7962, + "step": 14030 + }, + { + "epoch": 1.69, + "grad_norm": 0.23725546896457672, + "learning_rate": 0.0001380039194404956, + "loss": 0.813, + "step": 14035 + }, + { + "epoch": 1.69, + "grad_norm": 0.24073052406311035, + "learning_rate": 0.00013790134780726634, + "loss": 0.7779, + "step": 14040 + }, + { + "epoch": 1.69, + "grad_norm": 0.2828931510448456, + "learning_rate": 0.00013779878186806463, + "loss": 0.8943, + "step": 14045 + }, + { + "epoch": 1.69, + "grad_norm": 0.28520870208740234, + "learning_rate": 0.00013769622167116138, + "loss": 0.8855, + "step": 14050 + }, + { + "epoch": 1.69, + "grad_norm": 0.2628406882286072, + "learning_rate": 0.0001375936672648248, + "loss": 0.796, + "step": 14055 + }, + { + "epoch": 1.69, + "grad_norm": 0.23413865268230438, + "learning_rate": 0.00013749111869732034, + "loss": 0.9203, + "step": 14060 + }, + { + "epoch": 1.69, + "grad_norm": 0.24607300758361816, + "learning_rate": 0.0001373885760169109, + "loss": 0.8389, + "step": 14065 + }, + { + "epoch": 1.7, + "grad_norm": 0.23336441814899445, + "learning_rate": 0.00013728603927185644, + "loss": 0.8227, + "step": 14070 + }, + { + "epoch": 1.7, + "grad_norm": 0.284675270318985, + "learning_rate": 0.00013718350851041407, + "loss": 0.8254, + "step": 14075 + }, + { + "epoch": 1.7, + "grad_norm": 0.2564062178134918, + "learning_rate": 0.00013708098378083813, + "loss": 0.7736, + "step": 14080 + }, + { + "epoch": 1.7, + "grad_norm": 0.2292274683713913, + "learning_rate": 0.00013697846513138035, + "loss": 0.8294, + "step": 14085 + }, + { + "epoch": 1.7, + "grad_norm": 0.2765873074531555, + "learning_rate": 0.0001368759526102893, + "loss": 0.8284, + "step": 14090 + }, + { + "epoch": 1.7, + "grad_norm": 0.2501067519187927, + "learning_rate": 0.0001367734462658108, + "loss": 0.9865, + "step": 14095 + }, + { + "epoch": 1.7, + "grad_norm": 0.26736894249916077, + "learning_rate": 0.00013667094614618766, + "loss": 0.7624, + "step": 14100 + }, + { + "epoch": 1.7, + "grad_norm": 0.24033088982105255, + "learning_rate": 0.00013656845229965996, + "loss": 0.8987, + "step": 14105 + }, + { + "epoch": 1.7, + "grad_norm": 0.2716580927371979, + "learning_rate": 0.00013646596477446467, + "loss": 0.9425, + "step": 14110 + }, + { + "epoch": 1.7, + "grad_norm": 0.2522694766521454, + "learning_rate": 0.00013636348361883578, + "loss": 0.9069, + "step": 14115 + }, + { + "epoch": 1.7, + "grad_norm": 0.25670236349105835, + "learning_rate": 0.00013626100888100432, + "loss": 0.9238, + "step": 14120 + }, + { + "epoch": 1.7, + "grad_norm": 0.26054003834724426, + "learning_rate": 0.00013615854060919838, + "loss": 0.8625, + "step": 14125 + }, + { + "epoch": 1.7, + "grad_norm": 0.23610499501228333, + "learning_rate": 0.0001360560788516429, + "loss": 0.7802, + "step": 14130 + }, + { + "epoch": 1.7, + "grad_norm": 0.2758851647377014, + "learning_rate": 0.0001359536236565598, + "loss": 0.8364, + "step": 14135 + }, + { + "epoch": 1.7, + "grad_norm": 0.26497259736061096, + "learning_rate": 0.0001358511750721678, + "loss": 0.8287, + "step": 14140 + }, + { + "epoch": 1.7, + "grad_norm": 0.24857574701309204, + "learning_rate": 0.0001357487331466827, + "loss": 0.862, + "step": 14145 + }, + { + "epoch": 1.7, + "grad_norm": 0.28877443075180054, + "learning_rate": 0.0001356462979283171, + "loss": 0.8711, + "step": 14150 + }, + { + "epoch": 1.71, + "grad_norm": 0.2738126218318939, + "learning_rate": 0.00013554386946528033, + "loss": 0.9011, + "step": 14155 + }, + { + "epoch": 1.71, + "grad_norm": 0.26807695627212524, + "learning_rate": 0.0001354414478057786, + "loss": 0.7915, + "step": 14160 + }, + { + "epoch": 1.71, + "grad_norm": 0.269781231880188, + "learning_rate": 0.0001353390329980151, + "loss": 0.8746, + "step": 14165 + }, + { + "epoch": 1.71, + "grad_norm": 0.2851022183895111, + "learning_rate": 0.00013523662509018952, + "loss": 0.8851, + "step": 14170 + }, + { + "epoch": 1.71, + "grad_norm": 0.26294824481010437, + "learning_rate": 0.00013513422413049847, + "loss": 0.7998, + "step": 14175 + }, + { + "epoch": 1.71, + "grad_norm": 0.23697425425052643, + "learning_rate": 0.00013503183016713518, + "loss": 0.8183, + "step": 14180 + }, + { + "epoch": 1.71, + "grad_norm": 0.22184935212135315, + "learning_rate": 0.0001349294432482897, + "loss": 0.7641, + "step": 14185 + }, + { + "epoch": 1.71, + "grad_norm": 0.23600788414478302, + "learning_rate": 0.00013482706342214873, + "loss": 0.8828, + "step": 14190 + }, + { + "epoch": 1.71, + "grad_norm": 0.26765936613082886, + "learning_rate": 0.0001347246907368956, + "loss": 0.8785, + "step": 14195 + }, + { + "epoch": 1.71, + "grad_norm": 0.2510226368904114, + "learning_rate": 0.00013462232524071022, + "loss": 0.9082, + "step": 14200 + }, + { + "epoch": 1.71, + "grad_norm": 0.2888829708099365, + "learning_rate": 0.0001345199669817693, + "loss": 0.8412, + "step": 14205 + }, + { + "epoch": 1.71, + "grad_norm": 0.22700832784175873, + "learning_rate": 0.00013441761600824602, + "loss": 0.8552, + "step": 14210 + }, + { + "epoch": 1.71, + "grad_norm": 0.2521451711654663, + "learning_rate": 0.0001343152723683101, + "loss": 0.7209, + "step": 14215 + }, + { + "epoch": 1.71, + "grad_norm": 0.24360665678977966, + "learning_rate": 0.00013421293611012784, + "loss": 0.8414, + "step": 14220 + }, + { + "epoch": 1.71, + "grad_norm": 0.2193845957517624, + "learning_rate": 0.00013411060728186217, + "loss": 0.7894, + "step": 14225 + }, + { + "epoch": 1.71, + "grad_norm": 0.2685592472553253, + "learning_rate": 0.00013400828593167238, + "loss": 0.8794, + "step": 14230 + }, + { + "epoch": 1.72, + "grad_norm": 0.23406338691711426, + "learning_rate": 0.0001339059721077143, + "loss": 0.8955, + "step": 14235 + }, + { + "epoch": 1.72, + "grad_norm": 0.2340015023946762, + "learning_rate": 0.00013380366585814016, + "loss": 0.7859, + "step": 14240 + }, + { + "epoch": 1.72, + "grad_norm": 0.2922716438770294, + "learning_rate": 0.00013370136723109876, + "loss": 0.7737, + "step": 14245 + }, + { + "epoch": 1.72, + "grad_norm": 0.26283466815948486, + "learning_rate": 0.0001335990762747352, + "loss": 0.8702, + "step": 14250 + }, + { + "epoch": 1.72, + "grad_norm": 0.2611430287361145, + "learning_rate": 0.00013349679303719105, + "loss": 0.7799, + "step": 14255 + }, + { + "epoch": 1.72, + "grad_norm": 0.2265879213809967, + "learning_rate": 0.00013339451756660408, + "loss": 0.8453, + "step": 14260 + }, + { + "epoch": 1.72, + "grad_norm": 0.2740434408187866, + "learning_rate": 0.00013329224991110865, + "loss": 0.854, + "step": 14265 + }, + { + "epoch": 1.72, + "grad_norm": 0.23583091795444489, + "learning_rate": 0.00013318999011883526, + "loss": 0.8633, + "step": 14270 + }, + { + "epoch": 1.72, + "grad_norm": 0.21470926702022552, + "learning_rate": 0.00013308773823791074, + "loss": 0.8227, + "step": 14275 + }, + { + "epoch": 1.72, + "grad_norm": 0.2593861520290375, + "learning_rate": 0.0001329854943164582, + "loss": 0.7781, + "step": 14280 + }, + { + "epoch": 1.72, + "grad_norm": 0.27231550216674805, + "learning_rate": 0.00013288325840259715, + "loss": 0.8061, + "step": 14285 + }, + { + "epoch": 1.72, + "grad_norm": 0.2605496644973755, + "learning_rate": 0.0001327810305444431, + "loss": 0.9153, + "step": 14290 + }, + { + "epoch": 1.72, + "grad_norm": 0.280644953250885, + "learning_rate": 0.0001326788107901079, + "loss": 0.8612, + "step": 14295 + }, + { + "epoch": 1.72, + "grad_norm": 0.2497917264699936, + "learning_rate": 0.0001325765991876995, + "loss": 0.7707, + "step": 14300 + }, + { + "epoch": 1.72, + "grad_norm": 0.26758888363838196, + "learning_rate": 0.0001324743957853222, + "loss": 0.8533, + "step": 14305 + }, + { + "epoch": 1.72, + "grad_norm": 0.2774585485458374, + "learning_rate": 0.00013237220063107625, + "loss": 0.9308, + "step": 14310 + }, + { + "epoch": 1.72, + "grad_norm": 0.21268567442893982, + "learning_rate": 0.00013227001377305806, + "loss": 0.8137, + "step": 14315 + }, + { + "epoch": 1.73, + "grad_norm": 0.2505970001220703, + "learning_rate": 0.0001321678352593602, + "loss": 0.7499, + "step": 14320 + }, + { + "epoch": 1.73, + "grad_norm": 0.2653083801269531, + "learning_rate": 0.00013206566513807125, + "loss": 0.8927, + "step": 14325 + }, + { + "epoch": 1.73, + "grad_norm": 0.2813301086425781, + "learning_rate": 0.0001319635034572759, + "loss": 0.8058, + "step": 14330 + }, + { + "epoch": 1.73, + "grad_norm": 0.23401866853237152, + "learning_rate": 0.0001318613502650547, + "loss": 0.8581, + "step": 14335 + }, + { + "epoch": 1.73, + "grad_norm": 0.24355721473693848, + "learning_rate": 0.0001317592056094845, + "loss": 0.9558, + "step": 14340 + }, + { + "epoch": 1.73, + "grad_norm": 0.23587583005428314, + "learning_rate": 0.0001316570695386379, + "loss": 0.8461, + "step": 14345 + }, + { + "epoch": 1.73, + "grad_norm": 0.2816319763660431, + "learning_rate": 0.00013155494210058353, + "loss": 0.8245, + "step": 14350 + }, + { + "epoch": 1.73, + "grad_norm": 0.2452281266450882, + "learning_rate": 0.0001314528233433859, + "loss": 0.8102, + "step": 14355 + }, + { + "epoch": 1.73, + "grad_norm": 0.2361225038766861, + "learning_rate": 0.0001313507133151056, + "loss": 0.7548, + "step": 14360 + }, + { + "epoch": 1.73, + "grad_norm": 0.2706858217716217, + "learning_rate": 0.0001312486120637989, + "loss": 0.8989, + "step": 14365 + }, + { + "epoch": 1.73, + "grad_norm": 0.25683704018592834, + "learning_rate": 0.0001311465196375181, + "loss": 0.87, + "step": 14370 + }, + { + "epoch": 1.73, + "grad_norm": 0.2547888457775116, + "learning_rate": 0.0001310444360843112, + "loss": 0.8649, + "step": 14375 + }, + { + "epoch": 1.73, + "grad_norm": 0.28074026107788086, + "learning_rate": 0.00013094236145222223, + "loss": 0.8258, + "step": 14380 + }, + { + "epoch": 1.73, + "grad_norm": 0.2704260051250458, + "learning_rate": 0.00013084029578929086, + "loss": 0.8283, + "step": 14385 + }, + { + "epoch": 1.73, + "grad_norm": 0.22389455139636993, + "learning_rate": 0.00013073823914355257, + "loss": 0.7883, + "step": 14390 + }, + { + "epoch": 1.73, + "grad_norm": 0.29739248752593994, + "learning_rate": 0.00013063619156303854, + "loss": 0.9081, + "step": 14395 + }, + { + "epoch": 1.74, + "grad_norm": 0.25847524404525757, + "learning_rate": 0.00013053415309577588, + "loss": 0.8948, + "step": 14400 + }, + { + "epoch": 1.74, + "grad_norm": 0.2561867833137512, + "learning_rate": 0.0001304321237897872, + "loss": 0.9301, + "step": 14405 + }, + { + "epoch": 1.74, + "grad_norm": 0.23929399251937866, + "learning_rate": 0.00013033010369309088, + "loss": 0.853, + "step": 14410 + }, + { + "epoch": 1.74, + "grad_norm": 0.2782881557941437, + "learning_rate": 0.0001302280928537009, + "loss": 0.8784, + "step": 14415 + }, + { + "epoch": 1.74, + "grad_norm": 0.2864670753479004, + "learning_rate": 0.00013012609131962712, + "loss": 0.888, + "step": 14420 + }, + { + "epoch": 1.74, + "grad_norm": 0.25334519147872925, + "learning_rate": 0.00013002409913887475, + "loss": 0.8426, + "step": 14425 + }, + { + "epoch": 1.74, + "grad_norm": 0.2505394518375397, + "learning_rate": 0.00012992211635944474, + "loss": 0.7904, + "step": 14430 + }, + { + "epoch": 1.74, + "grad_norm": 0.2567066252231598, + "learning_rate": 0.00012982014302933347, + "loss": 0.838, + "step": 14435 + }, + { + "epoch": 1.74, + "grad_norm": 0.2711067199707031, + "learning_rate": 0.00012971817919653307, + "loss": 0.8792, + "step": 14440 + }, + { + "epoch": 1.74, + "grad_norm": 0.25377967953681946, + "learning_rate": 0.00012961622490903108, + "loss": 0.7812, + "step": 14445 + }, + { + "epoch": 1.74, + "grad_norm": 0.2506578862667084, + "learning_rate": 0.00012951428021481056, + "loss": 0.9277, + "step": 14450 + }, + { + "epoch": 1.74, + "grad_norm": 0.22411175072193146, + "learning_rate": 0.00012941234516185003, + "loss": 0.9082, + "step": 14455 + }, + { + "epoch": 1.74, + "grad_norm": 0.252632200717926, + "learning_rate": 0.00012931041979812364, + "loss": 0.7627, + "step": 14460 + }, + { + "epoch": 1.74, + "grad_norm": 0.2694997489452362, + "learning_rate": 0.00012920850417160078, + "loss": 0.9178, + "step": 14465 + }, + { + "epoch": 1.74, + "grad_norm": 0.2513391077518463, + "learning_rate": 0.0001291065983302463, + "loss": 0.8679, + "step": 14470 + }, + { + "epoch": 1.74, + "grad_norm": 0.2643163800239563, + "learning_rate": 0.00012900470232202045, + "loss": 0.8087, + "step": 14475 + }, + { + "epoch": 1.74, + "grad_norm": 0.2633654773235321, + "learning_rate": 0.00012890281619487898, + "loss": 0.8016, + "step": 14480 + }, + { + "epoch": 1.75, + "grad_norm": 0.24543441832065582, + "learning_rate": 0.00012880093999677282, + "loss": 0.8115, + "step": 14485 + }, + { + "epoch": 1.75, + "grad_norm": 0.2534711956977844, + "learning_rate": 0.00012869907377564827, + "loss": 0.7686, + "step": 14490 + }, + { + "epoch": 1.75, + "grad_norm": 0.24713997542858124, + "learning_rate": 0.00012859721757944696, + "loss": 0.8995, + "step": 14495 + }, + { + "epoch": 1.75, + "grad_norm": 0.2603427469730377, + "learning_rate": 0.00012849537145610587, + "loss": 0.9065, + "step": 14500 + }, + { + "epoch": 1.75, + "grad_norm": 0.26300033926963806, + "learning_rate": 0.00012839353545355712, + "loss": 0.8299, + "step": 14505 + }, + { + "epoch": 1.75, + "grad_norm": 0.2567319869995117, + "learning_rate": 0.0001282917096197281, + "loss": 0.8677, + "step": 14510 + }, + { + "epoch": 1.75, + "grad_norm": 0.2563308775424957, + "learning_rate": 0.0001281898940025414, + "loss": 0.7826, + "step": 14515 + }, + { + "epoch": 1.75, + "grad_norm": 0.2692480683326721, + "learning_rate": 0.0001280880886499149, + "loss": 0.8732, + "step": 14520 + }, + { + "epoch": 1.75, + "grad_norm": 0.26520323753356934, + "learning_rate": 0.0001279862936097616, + "loss": 0.8239, + "step": 14525 + }, + { + "epoch": 1.75, + "grad_norm": 0.2513013780117035, + "learning_rate": 0.00012788450892998952, + "loss": 0.7887, + "step": 14530 + }, + { + "epoch": 1.75, + "grad_norm": 0.2527408003807068, + "learning_rate": 0.000127782734658502, + "loss": 0.9332, + "step": 14535 + }, + { + "epoch": 1.75, + "grad_norm": 0.2598322629928589, + "learning_rate": 0.00012768097084319736, + "loss": 0.8357, + "step": 14540 + }, + { + "epoch": 1.75, + "grad_norm": 0.257907509803772, + "learning_rate": 0.00012757921753196906, + "loss": 0.7879, + "step": 14545 + }, + { + "epoch": 1.75, + "grad_norm": 0.2565610110759735, + "learning_rate": 0.00012747747477270552, + "loss": 0.9305, + "step": 14550 + }, + { + "epoch": 1.75, + "grad_norm": 0.25154614448547363, + "learning_rate": 0.00012737574261329027, + "loss": 0.734, + "step": 14555 + }, + { + "epoch": 1.75, + "grad_norm": 0.24832646548748016, + "learning_rate": 0.00012727402110160194, + "loss": 0.853, + "step": 14560 + }, + { + "epoch": 1.75, + "grad_norm": 0.2888548672199249, + "learning_rate": 0.00012717231028551397, + "loss": 0.8503, + "step": 14565 + }, + { + "epoch": 1.76, + "grad_norm": 0.2529507279396057, + "learning_rate": 0.00012707061021289485, + "loss": 0.8343, + "step": 14570 + }, + { + "epoch": 1.76, + "grad_norm": 0.27451494336128235, + "learning_rate": 0.00012696892093160803, + "loss": 0.7783, + "step": 14575 + }, + { + "epoch": 1.76, + "grad_norm": 0.2568528652191162, + "learning_rate": 0.00012686724248951189, + "loss": 0.9118, + "step": 14580 + }, + { + "epoch": 1.76, + "grad_norm": 0.2533772587776184, + "learning_rate": 0.00012676557493445962, + "loss": 0.7751, + "step": 14585 + }, + { + "epoch": 1.76, + "grad_norm": 0.272686630487442, + "learning_rate": 0.0001266639183142994, + "loss": 0.8448, + "step": 14590 + }, + { + "epoch": 1.76, + "grad_norm": 0.25127992033958435, + "learning_rate": 0.0001265622726768741, + "loss": 0.8768, + "step": 14595 + }, + { + "epoch": 1.76, + "grad_norm": 0.2625642418861389, + "learning_rate": 0.00012646063807002168, + "loss": 0.9275, + "step": 14600 + }, + { + "epoch": 1.76, + "grad_norm": 0.26558226346969604, + "learning_rate": 0.00012635901454157472, + "loss": 0.7573, + "step": 14605 + }, + { + "epoch": 1.76, + "grad_norm": 0.2596949338912964, + "learning_rate": 0.00012625740213936064, + "loss": 0.8072, + "step": 14610 + }, + { + "epoch": 1.76, + "grad_norm": 0.25480490922927856, + "learning_rate": 0.0001261558009112015, + "loss": 0.9022, + "step": 14615 + }, + { + "epoch": 1.76, + "grad_norm": 0.2669465243816376, + "learning_rate": 0.00012605421090491434, + "loss": 0.978, + "step": 14620 + }, + { + "epoch": 1.76, + "grad_norm": 0.22800852358341217, + "learning_rate": 0.00012595263216831076, + "loss": 0.6918, + "step": 14625 + }, + { + "epoch": 1.76, + "grad_norm": 0.2479008287191391, + "learning_rate": 0.00012585106474919704, + "loss": 0.8508, + "step": 14630 + }, + { + "epoch": 1.76, + "grad_norm": 0.24926097691059113, + "learning_rate": 0.00012574950869537419, + "loss": 0.7538, + "step": 14635 + }, + { + "epoch": 1.76, + "grad_norm": 0.23529042303562164, + "learning_rate": 0.0001256479640546379, + "loss": 0.8676, + "step": 14640 + }, + { + "epoch": 1.76, + "grad_norm": 0.24101610481739044, + "learning_rate": 0.00012554643087477844, + "loss": 0.9266, + "step": 14645 + }, + { + "epoch": 1.77, + "grad_norm": 0.28825363516807556, + "learning_rate": 0.00012544490920358072, + "loss": 0.9265, + "step": 14650 + }, + { + "epoch": 1.77, + "grad_norm": 0.2545327842235565, + "learning_rate": 0.00012534339908882412, + "loss": 0.8619, + "step": 14655 + }, + { + "epoch": 1.77, + "grad_norm": 0.3079511523246765, + "learning_rate": 0.00012524190057828277, + "loss": 0.853, + "step": 14660 + }, + { + "epoch": 1.77, + "grad_norm": 0.2799226939678192, + "learning_rate": 0.00012514041371972518, + "loss": 0.9301, + "step": 14665 + }, + { + "epoch": 1.77, + "grad_norm": 0.25301575660705566, + "learning_rate": 0.00012503893856091448, + "loss": 0.8581, + "step": 14670 + }, + { + "epoch": 1.77, + "grad_norm": 0.26482102274894714, + "learning_rate": 0.00012493747514960815, + "loss": 0.9563, + "step": 14675 + }, + { + "epoch": 1.77, + "grad_norm": 0.23120246827602386, + "learning_rate": 0.0001248360235335584, + "loss": 0.8965, + "step": 14680 + }, + { + "epoch": 1.77, + "grad_norm": 0.2709689736366272, + "learning_rate": 0.00012473458376051163, + "loss": 0.7622, + "step": 14685 + }, + { + "epoch": 1.77, + "grad_norm": 0.254367470741272, + "learning_rate": 0.00012463315587820878, + "loss": 0.9004, + "step": 14690 + }, + { + "epoch": 1.77, + "grad_norm": 0.25970759987831116, + "learning_rate": 0.0001245317399343851, + "loss": 0.7974, + "step": 14695 + }, + { + "epoch": 1.77, + "grad_norm": 0.23521548509597778, + "learning_rate": 0.00012443033597677047, + "loss": 0.7991, + "step": 14700 + }, + { + "epoch": 1.77, + "grad_norm": 0.2456759810447693, + "learning_rate": 0.00012432894405308887, + "loss": 0.9068, + "step": 14705 + }, + { + "epoch": 1.77, + "grad_norm": 0.3220599889755249, + "learning_rate": 0.00012422756421105868, + "loss": 0.8967, + "step": 14710 + }, + { + "epoch": 1.77, + "grad_norm": 0.25704309344291687, + "learning_rate": 0.00012412619649839263, + "loss": 0.9185, + "step": 14715 + }, + { + "epoch": 1.77, + "grad_norm": 0.2799650728702545, + "learning_rate": 0.0001240248409627978, + "loss": 0.8382, + "step": 14720 + }, + { + "epoch": 1.77, + "grad_norm": 0.22531536221504211, + "learning_rate": 0.00012392349765197541, + "loss": 0.7933, + "step": 14725 + }, + { + "epoch": 1.77, + "grad_norm": 0.2780819535255432, + "learning_rate": 0.00012382216661362098, + "loss": 0.8583, + "step": 14730 + }, + { + "epoch": 1.78, + "grad_norm": 0.2472156137228012, + "learning_rate": 0.00012372084789542424, + "loss": 0.7335, + "step": 14735 + }, + { + "epoch": 1.78, + "grad_norm": 0.22671552002429962, + "learning_rate": 0.00012361954154506926, + "loss": 0.8889, + "step": 14740 + }, + { + "epoch": 1.78, + "grad_norm": 0.23616662621498108, + "learning_rate": 0.00012351824761023405, + "loss": 0.9454, + "step": 14745 + }, + { + "epoch": 1.78, + "grad_norm": 0.24710243940353394, + "learning_rate": 0.00012341696613859098, + "loss": 0.7842, + "step": 14750 + }, + { + "epoch": 1.78, + "grad_norm": 0.27012568712234497, + "learning_rate": 0.0001233156971778064, + "loss": 0.7432, + "step": 14755 + }, + { + "epoch": 1.78, + "grad_norm": 0.30002421140670776, + "learning_rate": 0.00012321444077554095, + "loss": 0.9517, + "step": 14760 + }, + { + "epoch": 1.78, + "grad_norm": 0.2851850688457489, + "learning_rate": 0.00012311319697944913, + "loss": 0.8708, + "step": 14765 + }, + { + "epoch": 1.78, + "grad_norm": 0.2681834101676941, + "learning_rate": 0.00012301196583717973, + "loss": 0.9541, + "step": 14770 + }, + { + "epoch": 1.78, + "grad_norm": 0.2770148515701294, + "learning_rate": 0.0001229107473963754, + "loss": 0.7985, + "step": 14775 + }, + { + "epoch": 1.78, + "grad_norm": 0.23922573029994965, + "learning_rate": 0.000122809541704673, + "loss": 0.8304, + "step": 14780 + }, + { + "epoch": 1.78, + "grad_norm": 0.38129690289497375, + "learning_rate": 0.00012270834880970323, + "loss": 0.8315, + "step": 14785 + }, + { + "epoch": 1.78, + "grad_norm": 0.2657111585140228, + "learning_rate": 0.00012260716875909085, + "loss": 0.792, + "step": 14790 + }, + { + "epoch": 1.78, + "grad_norm": 0.2710582911968231, + "learning_rate": 0.0001225060016004545, + "loss": 0.7308, + "step": 14795 + }, + { + "epoch": 1.78, + "grad_norm": 0.2484636902809143, + "learning_rate": 0.0001224048473814069, + "loss": 0.852, + "step": 14800 + }, + { + "epoch": 1.78, + "grad_norm": 0.24950478971004486, + "learning_rate": 0.0001223037061495545, + "loss": 0.8909, + "step": 14805 + }, + { + "epoch": 1.78, + "grad_norm": 0.2482597976922989, + "learning_rate": 0.00012220257795249778, + "loss": 0.8531, + "step": 14810 + }, + { + "epoch": 1.79, + "grad_norm": 0.2781403362751007, + "learning_rate": 0.00012210146283783092, + "loss": 0.855, + "step": 14815 + }, + { + "epoch": 1.79, + "grad_norm": 0.26472207903862, + "learning_rate": 0.00012200036085314218, + "loss": 0.8358, + "step": 14820 + }, + { + "epoch": 1.79, + "grad_norm": 0.25163668394088745, + "learning_rate": 0.00012189927204601348, + "loss": 0.8767, + "step": 14825 + }, + { + "epoch": 1.79, + "grad_norm": 0.23350991308689117, + "learning_rate": 0.00012179819646402052, + "loss": 0.8239, + "step": 14830 + }, + { + "epoch": 1.79, + "grad_norm": 0.275762677192688, + "learning_rate": 0.00012169713415473288, + "loss": 0.7539, + "step": 14835 + }, + { + "epoch": 1.79, + "grad_norm": 0.2697180509567261, + "learning_rate": 0.00012159608516571383, + "loss": 0.8765, + "step": 14840 + }, + { + "epoch": 1.79, + "grad_norm": 0.25511398911476135, + "learning_rate": 0.00012149504954452036, + "loss": 0.9266, + "step": 14845 + }, + { + "epoch": 1.79, + "grad_norm": 0.26254042983055115, + "learning_rate": 0.0001213940273387031, + "loss": 0.8991, + "step": 14850 + }, + { + "epoch": 1.79, + "grad_norm": 0.27790650725364685, + "learning_rate": 0.00012129301859580665, + "loss": 0.8492, + "step": 14855 + }, + { + "epoch": 1.79, + "grad_norm": 0.2523384690284729, + "learning_rate": 0.00012119202336336897, + "loss": 0.8993, + "step": 14860 + }, + { + "epoch": 1.79, + "grad_norm": 0.23431278765201569, + "learning_rate": 0.00012109104168892177, + "loss": 0.9201, + "step": 14865 + }, + { + "epoch": 1.79, + "grad_norm": 0.2700154185295105, + "learning_rate": 0.00012099007361999037, + "loss": 0.8558, + "step": 14870 + }, + { + "epoch": 1.79, + "grad_norm": 0.2271653562784195, + "learning_rate": 0.00012088911920409374, + "loss": 0.8236, + "step": 14875 + }, + { + "epoch": 1.79, + "grad_norm": 0.24218647181987762, + "learning_rate": 0.00012078817848874434, + "loss": 0.7495, + "step": 14880 + }, + { + "epoch": 1.79, + "grad_norm": 0.25467637181282043, + "learning_rate": 0.00012068725152144827, + "loss": 0.8275, + "step": 14885 + }, + { + "epoch": 1.79, + "grad_norm": 0.277286559343338, + "learning_rate": 0.00012058633834970502, + "loss": 0.8756, + "step": 14890 + }, + { + "epoch": 1.79, + "grad_norm": 0.26092687249183655, + "learning_rate": 0.00012048543902100779, + "loss": 0.8228, + "step": 14895 + }, + { + "epoch": 1.8, + "grad_norm": 0.24140042066574097, + "learning_rate": 0.00012038455358284309, + "loss": 0.8216, + "step": 14900 + }, + { + "epoch": 1.8, + "grad_norm": 0.2441730499267578, + "learning_rate": 0.00012028368208269097, + "loss": 0.873, + "step": 14905 + }, + { + "epoch": 1.8, + "grad_norm": 0.242695614695549, + "learning_rate": 0.00012018282456802487, + "loss": 0.734, + "step": 14910 + }, + { + "epoch": 1.8, + "grad_norm": 0.27291175723075867, + "learning_rate": 0.00012008198108631176, + "loss": 1.0009, + "step": 14915 + }, + { + "epoch": 1.8, + "grad_norm": 0.25119420886039734, + "learning_rate": 0.00011998115168501192, + "loss": 1.0065, + "step": 14920 + }, + { + "epoch": 1.8, + "grad_norm": 0.2412206530570984, + "learning_rate": 0.00011988033641157898, + "loss": 0.8785, + "step": 14925 + }, + { + "epoch": 1.8, + "grad_norm": 0.24067923426628113, + "learning_rate": 0.00011977953531345996, + "loss": 0.9148, + "step": 14930 + }, + { + "epoch": 1.8, + "grad_norm": 0.2587399184703827, + "learning_rate": 0.00011967874843809522, + "loss": 0.8226, + "step": 14935 + }, + { + "epoch": 1.8, + "grad_norm": 0.26349955797195435, + "learning_rate": 0.00011957797583291841, + "loss": 0.7778, + "step": 14940 + }, + { + "epoch": 1.8, + "grad_norm": 0.2319829910993576, + "learning_rate": 0.00011947721754535645, + "loss": 0.7828, + "step": 14945 + }, + { + "epoch": 1.8, + "grad_norm": 0.27520623803138733, + "learning_rate": 0.00011937647362282948, + "loss": 0.8186, + "step": 14950 + }, + { + "epoch": 1.8, + "grad_norm": 0.23423904180526733, + "learning_rate": 0.00011927574411275107, + "loss": 0.773, + "step": 14955 + }, + { + "epoch": 1.8, + "grad_norm": 0.2540885806083679, + "learning_rate": 0.0001191750290625278, + "loss": 0.7941, + "step": 14960 + }, + { + "epoch": 1.8, + "grad_norm": 0.26657721400260925, + "learning_rate": 0.00011907432851955952, + "loss": 0.848, + "step": 14965 + }, + { + "epoch": 1.8, + "grad_norm": 0.22718775272369385, + "learning_rate": 0.00011897364253123921, + "loss": 0.7955, + "step": 14970 + }, + { + "epoch": 1.8, + "grad_norm": 0.252336323261261, + "learning_rate": 0.00011887297114495312, + "loss": 0.894, + "step": 14975 + }, + { + "epoch": 1.8, + "grad_norm": 0.2825542390346527, + "learning_rate": 0.0001187723144080805, + "loss": 0.9111, + "step": 14980 + }, + { + "epoch": 1.81, + "grad_norm": 0.2752092182636261, + "learning_rate": 0.00011867167236799376, + "loss": 0.839, + "step": 14985 + }, + { + "epoch": 1.81, + "grad_norm": 0.2676568925380707, + "learning_rate": 0.00011857104507205831, + "loss": 0.9122, + "step": 14990 + }, + { + "epoch": 1.81, + "grad_norm": 0.24729391932487488, + "learning_rate": 0.00011847043256763285, + "loss": 0.7432, + "step": 14995 + }, + { + "epoch": 1.81, + "grad_norm": 0.24606819450855255, + "learning_rate": 0.00011836983490206889, + "loss": 0.7616, + "step": 15000 + }, + { + "epoch": 1.81, + "grad_norm": 0.27244672179222107, + "learning_rate": 0.00011826925212271102, + "loss": 0.8588, + "step": 15005 + }, + { + "epoch": 1.81, + "grad_norm": 0.26637476682662964, + "learning_rate": 0.00011816868427689683, + "loss": 0.9134, + "step": 15010 + }, + { + "epoch": 1.81, + "grad_norm": 0.27990347146987915, + "learning_rate": 0.00011806813141195691, + "loss": 0.8513, + "step": 15015 + }, + { + "epoch": 1.81, + "grad_norm": 0.33465734124183655, + "learning_rate": 0.0001179675935752148, + "loss": 0.8542, + "step": 15020 + }, + { + "epoch": 1.81, + "grad_norm": 0.22314803302288055, + "learning_rate": 0.0001178670708139869, + "loss": 0.8547, + "step": 15025 + }, + { + "epoch": 1.81, + "grad_norm": 0.2743472754955292, + "learning_rate": 0.00011776656317558251, + "loss": 0.8579, + "step": 15030 + }, + { + "epoch": 1.81, + "grad_norm": 0.23580728471279144, + "learning_rate": 0.000117666070707304, + "loss": 0.9977, + "step": 15035 + }, + { + "epoch": 1.81, + "grad_norm": 0.2850353419780731, + "learning_rate": 0.0001175655934564464, + "loss": 0.7897, + "step": 15040 + }, + { + "epoch": 1.81, + "grad_norm": 0.2732098698616028, + "learning_rate": 0.00011746513147029762, + "loss": 0.6902, + "step": 15045 + }, + { + "epoch": 1.81, + "grad_norm": 0.26247236132621765, + "learning_rate": 0.00011736468479613841, + "loss": 0.74, + "step": 15050 + }, + { + "epoch": 1.81, + "grad_norm": 0.23917360603809357, + "learning_rate": 0.00011726425348124232, + "loss": 0.8132, + "step": 15055 + }, + { + "epoch": 1.81, + "grad_norm": 0.2416449338197708, + "learning_rate": 0.00011716383757287568, + "loss": 0.94, + "step": 15060 + }, + { + "epoch": 1.82, + "grad_norm": 0.26987558603286743, + "learning_rate": 0.00011706343711829753, + "loss": 0.8469, + "step": 15065 + }, + { + "epoch": 1.82, + "grad_norm": 0.2562698721885681, + "learning_rate": 0.0001169630521647596, + "loss": 0.7888, + "step": 15070 + }, + { + "epoch": 1.82, + "grad_norm": 0.2376549392938614, + "learning_rate": 0.0001168626827595065, + "loss": 0.8179, + "step": 15075 + }, + { + "epoch": 1.82, + "grad_norm": 0.23913566768169403, + "learning_rate": 0.0001167623289497754, + "loss": 0.9149, + "step": 15080 + }, + { + "epoch": 1.82, + "grad_norm": 0.2533036172389984, + "learning_rate": 0.00011666199078279604, + "loss": 0.8483, + "step": 15085 + }, + { + "epoch": 1.82, + "grad_norm": 0.23935401439666748, + "learning_rate": 0.00011656166830579087, + "loss": 0.8704, + "step": 15090 + }, + { + "epoch": 1.82, + "grad_norm": 0.243647962808609, + "learning_rate": 0.00011646136156597513, + "loss": 0.8779, + "step": 15095 + }, + { + "epoch": 1.82, + "grad_norm": 0.27903953194618225, + "learning_rate": 0.0001163610706105564, + "loss": 0.8851, + "step": 15100 + }, + { + "epoch": 1.82, + "grad_norm": 0.25441214442253113, + "learning_rate": 0.00011626079548673496, + "loss": 0.8484, + "step": 15105 + }, + { + "epoch": 1.82, + "grad_norm": 0.23863151669502258, + "learning_rate": 0.00011616053624170359, + "loss": 0.8271, + "step": 15110 + }, + { + "epoch": 1.82, + "grad_norm": 0.271961510181427, + "learning_rate": 0.00011606029292264766, + "loss": 0.855, + "step": 15115 + }, + { + "epoch": 1.82, + "grad_norm": 0.25115951895713806, + "learning_rate": 0.00011596006557674497, + "loss": 0.8599, + "step": 15120 + }, + { + "epoch": 1.82, + "grad_norm": 0.21527209877967834, + "learning_rate": 0.00011585985425116589, + "loss": 0.8878, + "step": 15125 + }, + { + "epoch": 1.82, + "grad_norm": 0.2371513992547989, + "learning_rate": 0.00011575965899307306, + "loss": 0.8347, + "step": 15130 + }, + { + "epoch": 1.82, + "grad_norm": 0.26192623376846313, + "learning_rate": 0.00011565947984962187, + "loss": 0.814, + "step": 15135 + }, + { + "epoch": 1.82, + "grad_norm": 0.2839601933956146, + "learning_rate": 0.00011555931686795987, + "loss": 0.8186, + "step": 15140 + }, + { + "epoch": 1.82, + "grad_norm": 0.2582460045814514, + "learning_rate": 0.0001154591700952271, + "loss": 0.7673, + "step": 15145 + }, + { + "epoch": 1.83, + "grad_norm": 0.2260724902153015, + "learning_rate": 0.0001153590395785559, + "loss": 0.8031, + "step": 15150 + }, + { + "epoch": 1.83, + "grad_norm": 0.2650599777698517, + "learning_rate": 0.00011525892536507111, + "loss": 0.8469, + "step": 15155 + }, + { + "epoch": 1.83, + "grad_norm": 0.280758798122406, + "learning_rate": 0.00011515882750188976, + "loss": 0.8937, + "step": 15160 + }, + { + "epoch": 1.83, + "grad_norm": 0.23013721406459808, + "learning_rate": 0.00011505874603612122, + "loss": 0.8758, + "step": 15165 + }, + { + "epoch": 1.83, + "grad_norm": 0.23622775077819824, + "learning_rate": 0.0001149586810148671, + "loss": 0.9219, + "step": 15170 + }, + { + "epoch": 1.83, + "grad_norm": 0.23313015699386597, + "learning_rate": 0.00011485863248522144, + "loss": 0.8072, + "step": 15175 + }, + { + "epoch": 1.83, + "grad_norm": 0.27392974495887756, + "learning_rate": 0.00011475860049427036, + "loss": 0.7727, + "step": 15180 + }, + { + "epoch": 1.83, + "grad_norm": 0.24279291927814484, + "learning_rate": 0.00011465858508909219, + "loss": 0.8076, + "step": 15185 + }, + { + "epoch": 1.83, + "grad_norm": 0.22247040271759033, + "learning_rate": 0.00011455858631675752, + "loss": 0.8597, + "step": 15190 + }, + { + "epoch": 1.83, + "grad_norm": 0.23884879052639008, + "learning_rate": 0.00011445860422432913, + "loss": 0.9097, + "step": 15195 + }, + { + "epoch": 1.83, + "grad_norm": 0.22139222919940948, + "learning_rate": 0.00011435863885886188, + "loss": 0.8262, + "step": 15200 + }, + { + "epoch": 1.83, + "grad_norm": 0.20830343663692474, + "learning_rate": 0.00011425869026740278, + "loss": 0.8878, + "step": 15205 + }, + { + "epoch": 1.83, + "grad_norm": 0.23654043674468994, + "learning_rate": 0.00011415875849699094, + "loss": 0.8093, + "step": 15210 + }, + { + "epoch": 1.83, + "grad_norm": 0.2731797993183136, + "learning_rate": 0.00011405884359465766, + "loss": 0.8693, + "step": 15215 + }, + { + "epoch": 1.83, + "grad_norm": 0.2721179723739624, + "learning_rate": 0.00011395894560742612, + "loss": 0.7557, + "step": 15220 + }, + { + "epoch": 1.83, + "grad_norm": 0.2314218133687973, + "learning_rate": 0.0001138590645823117, + "loss": 0.911, + "step": 15225 + }, + { + "epoch": 1.84, + "grad_norm": 0.2549746036529541, + "learning_rate": 0.00011375920056632164, + "loss": 0.8295, + "step": 15230 + }, + { + "epoch": 1.84, + "grad_norm": 0.2613559365272522, + "learning_rate": 0.00011365935360645536, + "loss": 0.8176, + "step": 15235 + }, + { + "epoch": 1.84, + "grad_norm": 0.24376095831394196, + "learning_rate": 0.0001135595237497041, + "loss": 0.8712, + "step": 15240 + }, + { + "epoch": 1.84, + "grad_norm": 0.2682994604110718, + "learning_rate": 0.00011345971104305111, + "loss": 0.8861, + "step": 15245 + }, + { + "epoch": 1.84, + "grad_norm": 0.2671447992324829, + "learning_rate": 0.0001133599155334715, + "loss": 0.9091, + "step": 15250 + }, + { + "epoch": 1.84, + "grad_norm": 0.2641143500804901, + "learning_rate": 0.00011326013726793249, + "loss": 0.8653, + "step": 15255 + }, + { + "epoch": 1.84, + "grad_norm": 0.2844027280807495, + "learning_rate": 0.00011316037629339299, + "loss": 0.8379, + "step": 15260 + }, + { + "epoch": 1.84, + "grad_norm": 0.25467634201049805, + "learning_rate": 0.00011306063265680384, + "loss": 0.7981, + "step": 15265 + }, + { + "epoch": 1.84, + "grad_norm": 0.27292025089263916, + "learning_rate": 0.00011296090640510758, + "loss": 0.9155, + "step": 15270 + }, + { + "epoch": 1.84, + "grad_norm": 0.27698391675949097, + "learning_rate": 0.00011286119758523885, + "loss": 0.8058, + "step": 15275 + }, + { + "epoch": 1.84, + "grad_norm": 0.2688562870025635, + "learning_rate": 0.00011276150624412388, + "loss": 0.8207, + "step": 15280 + }, + { + "epoch": 1.84, + "grad_norm": 0.2935139238834381, + "learning_rate": 0.00011266183242868073, + "loss": 0.8824, + "step": 15285 + }, + { + "epoch": 1.84, + "grad_norm": 0.26238155364990234, + "learning_rate": 0.00011256217618581916, + "loss": 0.8231, + "step": 15290 + }, + { + "epoch": 1.84, + "grad_norm": 0.23228612542152405, + "learning_rate": 0.00011246253756244079, + "loss": 0.8126, + "step": 15295 + }, + { + "epoch": 1.84, + "grad_norm": 0.2749589681625366, + "learning_rate": 0.00011236291660543881, + "loss": 0.8331, + "step": 15300 + }, + { + "epoch": 1.84, + "grad_norm": 0.26084092259407043, + "learning_rate": 0.0001122633133616982, + "loss": 0.9848, + "step": 15305 + }, + { + "epoch": 1.84, + "grad_norm": 0.2661038041114807, + "learning_rate": 0.0001121637278780954, + "loss": 0.873, + "step": 15310 + }, + { + "epoch": 1.85, + "grad_norm": 0.27569863200187683, + "learning_rate": 0.00011206416020149887, + "loss": 0.8332, + "step": 15315 + }, + { + "epoch": 1.85, + "grad_norm": 0.23671133816242218, + "learning_rate": 0.00011196461037876834, + "loss": 0.8793, + "step": 15320 + }, + { + "epoch": 1.85, + "grad_norm": 0.26371756196022034, + "learning_rate": 0.00011186507845675527, + "loss": 0.8082, + "step": 15325 + }, + { + "epoch": 1.85, + "grad_norm": 0.2549302875995636, + "learning_rate": 0.00011176556448230271, + "loss": 0.7892, + "step": 15330 + }, + { + "epoch": 1.85, + "grad_norm": 0.2468237727880478, + "learning_rate": 0.00011166606850224524, + "loss": 0.7797, + "step": 15335 + }, + { + "epoch": 1.85, + "grad_norm": 0.2780306041240692, + "learning_rate": 0.00011156659056340898, + "loss": 0.7513, + "step": 15340 + }, + { + "epoch": 1.85, + "grad_norm": 0.264596551656723, + "learning_rate": 0.00011146713071261145, + "loss": 0.8805, + "step": 15345 + }, + { + "epoch": 1.85, + "grad_norm": 0.2658274173736572, + "learning_rate": 0.00011136768899666191, + "loss": 0.8718, + "step": 15350 + }, + { + "epoch": 1.85, + "grad_norm": 0.24554196000099182, + "learning_rate": 0.00011126826546236087, + "loss": 0.943, + "step": 15355 + }, + { + "epoch": 1.85, + "grad_norm": 0.24591578543186188, + "learning_rate": 0.00011116886015650035, + "loss": 0.7976, + "step": 15360 + }, + { + "epoch": 1.85, + "grad_norm": 0.2368362545967102, + "learning_rate": 0.00011106947312586373, + "loss": 0.867, + "step": 15365 + }, + { + "epoch": 1.85, + "grad_norm": 0.2802934944629669, + "learning_rate": 0.00011097010441722595, + "loss": 0.8927, + "step": 15370 + }, + { + "epoch": 1.85, + "grad_norm": 0.25117719173431396, + "learning_rate": 0.00011087075407735316, + "loss": 0.8307, + "step": 15375 + }, + { + "epoch": 1.85, + "grad_norm": 0.23962007462978363, + "learning_rate": 0.00011077142215300297, + "loss": 0.8692, + "step": 15380 + }, + { + "epoch": 1.85, + "grad_norm": 0.22337029874324799, + "learning_rate": 0.00011067210869092417, + "loss": 0.7974, + "step": 15385 + }, + { + "epoch": 1.85, + "grad_norm": 0.25178852677345276, + "learning_rate": 0.00011057281373785712, + "loss": 0.9266, + "step": 15390 + }, + { + "epoch": 1.85, + "grad_norm": 0.25446346402168274, + "learning_rate": 0.00011047353734053327, + "loss": 0.8743, + "step": 15395 + }, + { + "epoch": 1.86, + "grad_norm": 0.26338401436805725, + "learning_rate": 0.0001103742795456754, + "loss": 0.8066, + "step": 15400 + }, + { + "epoch": 1.86, + "grad_norm": 0.2573286294937134, + "learning_rate": 0.00011027504039999744, + "loss": 0.8641, + "step": 15405 + }, + { + "epoch": 1.86, + "grad_norm": 0.2608354091644287, + "learning_rate": 0.00011017581995020475, + "loss": 0.8588, + "step": 15410 + }, + { + "epoch": 1.86, + "grad_norm": 0.23720592260360718, + "learning_rate": 0.0001100766182429937, + "loss": 0.8744, + "step": 15415 + }, + { + "epoch": 1.86, + "grad_norm": 0.26355910301208496, + "learning_rate": 0.00010997743532505192, + "loss": 0.8457, + "step": 15420 + }, + { + "epoch": 1.86, + "grad_norm": 0.3250594139099121, + "learning_rate": 0.00010987827124305812, + "loss": 0.7379, + "step": 15425 + }, + { + "epoch": 1.86, + "grad_norm": 0.2539902329444885, + "learning_rate": 0.00010977912604368232, + "loss": 0.7225, + "step": 15430 + }, + { + "epoch": 1.86, + "grad_norm": 0.23028779029846191, + "learning_rate": 0.00010967999977358551, + "loss": 0.8119, + "step": 15435 + }, + { + "epoch": 1.86, + "grad_norm": 0.23592324554920197, + "learning_rate": 0.00010958089247941981, + "loss": 0.8199, + "step": 15440 + }, + { + "epoch": 1.86, + "grad_norm": 0.2703402638435364, + "learning_rate": 0.00010948180420782835, + "loss": 0.8367, + "step": 15445 + }, + { + "epoch": 1.86, + "grad_norm": 0.2614709734916687, + "learning_rate": 0.00010938273500544543, + "loss": 0.7616, + "step": 15450 + }, + { + "epoch": 1.86, + "grad_norm": 0.2527773976325989, + "learning_rate": 0.00010928368491889626, + "loss": 0.9269, + "step": 15455 + }, + { + "epoch": 1.86, + "grad_norm": 0.2695715129375458, + "learning_rate": 0.00010918465399479712, + "loss": 0.8234, + "step": 15460 + }, + { + "epoch": 1.86, + "grad_norm": 0.2826976478099823, + "learning_rate": 0.00010908564227975518, + "loss": 0.8455, + "step": 15465 + }, + { + "epoch": 1.86, + "grad_norm": 0.2363000065088272, + "learning_rate": 0.00010898664982036877, + "loss": 0.8312, + "step": 15470 + }, + { + "epoch": 1.86, + "grad_norm": 0.29471728205680847, + "learning_rate": 0.000108887676663227, + "loss": 0.8394, + "step": 15475 + }, + { + "epoch": 1.87, + "grad_norm": 0.24590782821178436, + "learning_rate": 0.00010878872285490984, + "loss": 0.8675, + "step": 15480 + }, + { + "epoch": 1.87, + "grad_norm": 0.26483914256095886, + "learning_rate": 0.00010868978844198827, + "loss": 0.7959, + "step": 15485 + }, + { + "epoch": 1.87, + "grad_norm": 0.25184696912765503, + "learning_rate": 0.00010859087347102416, + "loss": 0.8902, + "step": 15490 + }, + { + "epoch": 1.87, + "grad_norm": 0.23830364644527435, + "learning_rate": 0.00010849197798857015, + "loss": 0.9064, + "step": 15495 + }, + { + "epoch": 1.87, + "grad_norm": 0.24322542548179626, + "learning_rate": 0.00010839310204116975, + "loss": 0.854, + "step": 15500 + }, + { + "epoch": 1.87, + "grad_norm": 0.24347706139087677, + "learning_rate": 0.0001082942456753572, + "loss": 0.8495, + "step": 15505 + }, + { + "epoch": 1.87, + "grad_norm": 0.24465703964233398, + "learning_rate": 0.0001081954089376577, + "loss": 0.8317, + "step": 15510 + }, + { + "epoch": 1.87, + "grad_norm": 0.24925029277801514, + "learning_rate": 0.00010809659187458702, + "loss": 0.8258, + "step": 15515 + }, + { + "epoch": 1.87, + "grad_norm": 0.27092206478118896, + "learning_rate": 0.00010799779453265178, + "loss": 0.8398, + "step": 15520 + }, + { + "epoch": 1.87, + "grad_norm": 0.2629016041755676, + "learning_rate": 0.00010789901695834921, + "loss": 0.7819, + "step": 15525 + }, + { + "epoch": 1.87, + "grad_norm": 0.2438107430934906, + "learning_rate": 0.00010780025919816748, + "loss": 0.8834, + "step": 15530 + }, + { + "epoch": 1.87, + "grad_norm": 0.2341863512992859, + "learning_rate": 0.00010770152129858515, + "loss": 0.8463, + "step": 15535 + }, + { + "epoch": 1.87, + "grad_norm": 0.2474951595067978, + "learning_rate": 0.00010760280330607161, + "loss": 0.8869, + "step": 15540 + }, + { + "epoch": 1.87, + "grad_norm": 0.2520921528339386, + "learning_rate": 0.00010750410526708675, + "loss": 0.8906, + "step": 15545 + }, + { + "epoch": 1.87, + "grad_norm": 0.2502596974372864, + "learning_rate": 0.00010740542722808123, + "loss": 0.774, + "step": 15550 + }, + { + "epoch": 1.87, + "grad_norm": 0.2887754440307617, + "learning_rate": 0.0001073067692354962, + "loss": 0.7609, + "step": 15555 + }, + { + "epoch": 1.87, + "grad_norm": 0.26220768690109253, + "learning_rate": 0.00010720813133576336, + "loss": 0.855, + "step": 15560 + }, + { + "epoch": 1.88, + "grad_norm": 0.264213889837265, + "learning_rate": 0.00010710951357530489, + "loss": 0.7649, + "step": 15565 + }, + { + "epoch": 1.88, + "grad_norm": 0.26668137311935425, + "learning_rate": 0.00010701091600053379, + "loss": 0.8864, + "step": 15570 + }, + { + "epoch": 1.88, + "grad_norm": 0.2364049255847931, + "learning_rate": 0.00010691233865785321, + "loss": 0.8681, + "step": 15575 + }, + { + "epoch": 1.88, + "grad_norm": 0.2663012444972992, + "learning_rate": 0.00010681378159365696, + "loss": 0.9484, + "step": 15580 + }, + { + "epoch": 1.88, + "grad_norm": 0.25167354941368103, + "learning_rate": 0.00010671524485432926, + "loss": 0.8411, + "step": 15585 + }, + { + "epoch": 1.88, + "grad_norm": 0.2526310384273529, + "learning_rate": 0.00010661672848624477, + "loss": 0.8295, + "step": 15590 + }, + { + "epoch": 1.88, + "grad_norm": 0.25531667470932007, + "learning_rate": 0.0001065182325357686, + "loss": 0.8014, + "step": 15595 + }, + { + "epoch": 1.88, + "grad_norm": 0.24380475282669067, + "learning_rate": 0.00010641975704925615, + "loss": 0.9029, + "step": 15600 + }, + { + "epoch": 1.88, + "grad_norm": 0.25942888855934143, + "learning_rate": 0.00010632130207305324, + "loss": 0.8727, + "step": 15605 + }, + { + "epoch": 1.88, + "grad_norm": 0.26547759771347046, + "learning_rate": 0.00010622286765349618, + "loss": 0.7635, + "step": 15610 + }, + { + "epoch": 1.88, + "grad_norm": 0.27288028597831726, + "learning_rate": 0.00010612445383691137, + "loss": 0.7731, + "step": 15615 + }, + { + "epoch": 1.88, + "grad_norm": 0.2501557171344757, + "learning_rate": 0.00010602606066961564, + "loss": 0.8859, + "step": 15620 + }, + { + "epoch": 1.88, + "grad_norm": 0.25001439452171326, + "learning_rate": 0.00010592768819791608, + "loss": 0.8516, + "step": 15625 + }, + { + "epoch": 1.88, + "grad_norm": 0.2799443006515503, + "learning_rate": 0.00010582933646811008, + "loss": 0.8835, + "step": 15630 + }, + { + "epoch": 1.88, + "grad_norm": 0.2613951861858368, + "learning_rate": 0.00010573100552648517, + "loss": 0.9239, + "step": 15635 + }, + { + "epoch": 1.88, + "grad_norm": 0.27016937732696533, + "learning_rate": 0.00010563269541931922, + "loss": 0.8181, + "step": 15640 + }, + { + "epoch": 1.89, + "grad_norm": 0.22996383905410767, + "learning_rate": 0.00010553440619288014, + "loss": 0.8646, + "step": 15645 + }, + { + "epoch": 1.89, + "grad_norm": 0.29044246673583984, + "learning_rate": 0.00010543613789342621, + "loss": 0.8249, + "step": 15650 + }, + { + "epoch": 1.89, + "grad_norm": 0.2618498206138611, + "learning_rate": 0.00010533789056720571, + "loss": 0.7699, + "step": 15655 + }, + { + "epoch": 1.89, + "grad_norm": 0.25093433260917664, + "learning_rate": 0.00010523966426045709, + "loss": 0.7474, + "step": 15660 + }, + { + "epoch": 1.89, + "grad_norm": 0.2828831076622009, + "learning_rate": 0.00010514145901940887, + "loss": 0.7825, + "step": 15665 + }, + { + "epoch": 1.89, + "grad_norm": 0.2531161308288574, + "learning_rate": 0.0001050432748902798, + "loss": 0.8004, + "step": 15670 + }, + { + "epoch": 1.89, + "grad_norm": 0.23352687060832977, + "learning_rate": 0.0001049451119192785, + "loss": 0.7407, + "step": 15675 + }, + { + "epoch": 1.89, + "grad_norm": 0.22876708209514618, + "learning_rate": 0.00010484697015260379, + "loss": 0.7868, + "step": 15680 + }, + { + "epoch": 1.89, + "grad_norm": 0.27175286412239075, + "learning_rate": 0.00010474884963644434, + "loss": 0.7846, + "step": 15685 + }, + { + "epoch": 1.89, + "grad_norm": 0.2837650775909424, + "learning_rate": 0.00010465075041697908, + "loss": 0.7969, + "step": 15690 + }, + { + "epoch": 1.89, + "grad_norm": 0.2851541340351105, + "learning_rate": 0.00010455267254037663, + "loss": 0.7862, + "step": 15695 + }, + { + "epoch": 1.89, + "grad_norm": 0.2439732849597931, + "learning_rate": 0.00010445461605279579, + "loss": 0.8859, + "step": 15700 + }, + { + "epoch": 1.89, + "grad_norm": 0.24269287288188934, + "learning_rate": 0.00010435658100038505, + "loss": 0.7997, + "step": 15705 + }, + { + "epoch": 1.89, + "grad_norm": 0.24573330581188202, + "learning_rate": 0.00010425856742928313, + "loss": 1.0228, + "step": 15710 + }, + { + "epoch": 1.89, + "grad_norm": 0.25582510232925415, + "learning_rate": 0.00010416057538561842, + "loss": 0.8363, + "step": 15715 + }, + { + "epoch": 1.89, + "grad_norm": 0.21897505223751068, + "learning_rate": 0.00010406260491550918, + "loss": 0.8839, + "step": 15720 + }, + { + "epoch": 1.89, + "grad_norm": 0.23649723827838898, + "learning_rate": 0.0001039646560650636, + "loss": 0.8441, + "step": 15725 + }, + { + "epoch": 1.9, + "grad_norm": 0.2502078413963318, + "learning_rate": 0.00010386672888037969, + "loss": 0.8262, + "step": 15730 + }, + { + "epoch": 1.9, + "grad_norm": 0.2571605145931244, + "learning_rate": 0.00010376882340754519, + "loss": 0.8712, + "step": 15735 + }, + { + "epoch": 1.9, + "grad_norm": 0.26057517528533936, + "learning_rate": 0.0001036709396926377, + "loss": 0.8395, + "step": 15740 + }, + { + "epoch": 1.9, + "grad_norm": 0.2550731301307678, + "learning_rate": 0.00010357307778172445, + "loss": 0.8821, + "step": 15745 + }, + { + "epoch": 1.9, + "grad_norm": 0.2894580066204071, + "learning_rate": 0.00010347523772086268, + "loss": 0.8224, + "step": 15750 + }, + { + "epoch": 1.9, + "grad_norm": 0.24666161835193634, + "learning_rate": 0.00010337741955609907, + "loss": 0.7983, + "step": 15755 + }, + { + "epoch": 1.9, + "grad_norm": 0.26421642303466797, + "learning_rate": 0.00010327962333347008, + "loss": 0.7837, + "step": 15760 + }, + { + "epoch": 1.9, + "grad_norm": 0.27278557419776917, + "learning_rate": 0.00010318184909900188, + "loss": 0.757, + "step": 15765 + }, + { + "epoch": 1.9, + "grad_norm": 0.25606653094291687, + "learning_rate": 0.00010308409689871029, + "loss": 0.9554, + "step": 15770 + }, + { + "epoch": 1.9, + "grad_norm": 0.2995527982711792, + "learning_rate": 0.00010298636677860074, + "loss": 0.8754, + "step": 15775 + }, + { + "epoch": 1.9, + "grad_norm": 0.2641645669937134, + "learning_rate": 0.00010288865878466825, + "loss": 0.841, + "step": 15780 + }, + { + "epoch": 1.9, + "grad_norm": 0.2527436912059784, + "learning_rate": 0.00010279097296289741, + "loss": 0.7688, + "step": 15785 + }, + { + "epoch": 1.9, + "grad_norm": 0.25887179374694824, + "learning_rate": 0.0001026933093592625, + "loss": 0.7526, + "step": 15790 + }, + { + "epoch": 1.9, + "grad_norm": 0.2504650354385376, + "learning_rate": 0.00010259566801972721, + "loss": 0.8904, + "step": 15795 + }, + { + "epoch": 1.9, + "grad_norm": 0.235322505235672, + "learning_rate": 0.00010249804899024482, + "loss": 0.7883, + "step": 15800 + }, + { + "epoch": 1.9, + "grad_norm": 0.250555157661438, + "learning_rate": 0.00010240045231675802, + "loss": 0.8137, + "step": 15805 + }, + { + "epoch": 1.9, + "grad_norm": 0.2679235637187958, + "learning_rate": 0.00010230287804519914, + "loss": 0.8408, + "step": 15810 + }, + { + "epoch": 1.91, + "grad_norm": 0.2516213357448578, + "learning_rate": 0.00010220532622148982, + "loss": 0.8198, + "step": 15815 + }, + { + "epoch": 1.91, + "grad_norm": 0.26022079586982727, + "learning_rate": 0.00010210779689154118, + "loss": 0.8253, + "step": 15820 + }, + { + "epoch": 1.91, + "grad_norm": 0.3123502731323242, + "learning_rate": 0.0001020102901012537, + "loss": 0.8452, + "step": 15825 + }, + { + "epoch": 1.91, + "grad_norm": 0.24394842982292175, + "learning_rate": 0.00010191280589651746, + "loss": 0.8889, + "step": 15830 + }, + { + "epoch": 1.91, + "grad_norm": 0.24881669878959656, + "learning_rate": 0.00010181534432321171, + "loss": 0.8135, + "step": 15835 + }, + { + "epoch": 1.91, + "grad_norm": 0.2647436261177063, + "learning_rate": 0.00010171790542720504, + "loss": 0.8659, + "step": 15840 + }, + { + "epoch": 1.91, + "grad_norm": 0.2636089324951172, + "learning_rate": 0.00010162048925435549, + "loss": 0.891, + "step": 15845 + }, + { + "epoch": 1.91, + "grad_norm": 0.2648860216140747, + "learning_rate": 0.00010152309585051035, + "loss": 0.7962, + "step": 15850 + }, + { + "epoch": 1.91, + "grad_norm": 0.2279883474111557, + "learning_rate": 0.00010142572526150616, + "loss": 0.9005, + "step": 15855 + }, + { + "epoch": 1.91, + "grad_norm": 0.297305703163147, + "learning_rate": 0.0001013283775331687, + "loss": 0.7451, + "step": 15860 + }, + { + "epoch": 1.91, + "grad_norm": 0.2450573891401291, + "learning_rate": 0.00010123105271131319, + "loss": 0.8414, + "step": 15865 + }, + { + "epoch": 1.91, + "grad_norm": 0.2383514642715454, + "learning_rate": 0.00010113375084174382, + "loss": 0.8569, + "step": 15870 + }, + { + "epoch": 1.91, + "grad_norm": 0.23251613974571228, + "learning_rate": 0.00010103647197025414, + "loss": 0.8139, + "step": 15875 + }, + { + "epoch": 1.91, + "grad_norm": 0.2642490863800049, + "learning_rate": 0.0001009392161426267, + "loss": 0.8877, + "step": 15880 + }, + { + "epoch": 1.91, + "grad_norm": 0.25998982787132263, + "learning_rate": 0.00010084198340463345, + "loss": 0.8697, + "step": 15885 + }, + { + "epoch": 1.91, + "grad_norm": 0.2662920355796814, + "learning_rate": 0.00010074477380203529, + "loss": 0.7452, + "step": 15890 + }, + { + "epoch": 1.92, + "grad_norm": 0.24700447916984558, + "learning_rate": 0.00010064758738058231, + "loss": 0.856, + "step": 15895 + }, + { + "epoch": 1.92, + "grad_norm": 0.26831844449043274, + "learning_rate": 0.0001005504241860136, + "loss": 0.7415, + "step": 15900 + }, + { + "epoch": 1.92, + "grad_norm": 0.26766031980514526, + "learning_rate": 0.00010045328426405749, + "loss": 0.7633, + "step": 15905 + }, + { + "epoch": 1.92, + "grad_norm": 0.24661500751972198, + "learning_rate": 0.00010035616766043119, + "loss": 0.8742, + "step": 15910 + }, + { + "epoch": 1.92, + "grad_norm": 0.2439432591199875, + "learning_rate": 0.00010025907442084102, + "loss": 0.7972, + "step": 15915 + }, + { + "epoch": 1.92, + "grad_norm": 0.236423522233963, + "learning_rate": 0.0001001620045909822, + "loss": 0.7564, + "step": 15920 + }, + { + "epoch": 1.92, + "grad_norm": 0.26059049367904663, + "learning_rate": 0.00010006495821653914, + "loss": 0.824, + "step": 15925 + }, + { + "epoch": 1.92, + "grad_norm": 0.2574262022972107, + "learning_rate": 9.996793534318505e-05, + "loss": 0.8156, + "step": 15930 + }, + { + "epoch": 1.92, + "grad_norm": 0.2577226758003235, + "learning_rate": 9.987093601658209e-05, + "loss": 0.8548, + "step": 15935 + }, + { + "epoch": 1.92, + "grad_norm": 0.2414378523826599, + "learning_rate": 9.977396028238136e-05, + "loss": 0.8627, + "step": 15940 + }, + { + "epoch": 1.92, + "grad_norm": 0.2435644119977951, + "learning_rate": 9.969639671222088e-05, + "loss": 0.8817, + "step": 15945 + }, + { + "epoch": 1.92, + "grad_norm": 0.25886785984039307, + "learning_rate": 9.959946355934948e-05, + "loss": 0.7624, + "step": 15950 + }, + { + "epoch": 1.92, + "grad_norm": 0.22503872215747833, + "learning_rate": 9.950255412664435e-05, + "loss": 0.9167, + "step": 15955 + }, + { + "epoch": 1.92, + "grad_norm": 0.24574321508407593, + "learning_rate": 9.940566845971425e-05, + "loss": 0.7814, + "step": 15960 + }, + { + "epoch": 1.92, + "grad_norm": 0.23402521014213562, + "learning_rate": 9.93088066041567e-05, + "loss": 0.8389, + "step": 15965 + }, + { + "epoch": 1.92, + "grad_norm": 0.27619630098342896, + "learning_rate": 9.921196860555813e-05, + "loss": 0.8364, + "step": 15970 + }, + { + "epoch": 1.92, + "grad_norm": 0.2658560872077942, + "learning_rate": 9.91151545094938e-05, + "loss": 0.8762, + "step": 15975 + }, + { + "epoch": 1.93, + "grad_norm": 0.2881810963153839, + "learning_rate": 9.90183643615276e-05, + "loss": 0.8234, + "step": 15980 + }, + { + "epoch": 1.93, + "grad_norm": 0.2377784252166748, + "learning_rate": 9.892159820721216e-05, + "loss": 0.8424, + "step": 15985 + }, + { + "epoch": 1.93, + "grad_norm": 0.22696682810783386, + "learning_rate": 9.882485609208885e-05, + "loss": 0.7891, + "step": 15990 + }, + { + "epoch": 1.93, + "grad_norm": 0.2700740098953247, + "learning_rate": 9.872813806168778e-05, + "loss": 0.8931, + "step": 15995 + }, + { + "epoch": 1.93, + "grad_norm": 0.23319804668426514, + "learning_rate": 9.86314441615276e-05, + "loss": 0.7404, + "step": 16000 + }, + { + "epoch": 1.93, + "grad_norm": 0.23562254011631012, + "learning_rate": 9.853477443711572e-05, + "loss": 0.9749, + "step": 16005 + }, + { + "epoch": 1.93, + "grad_norm": 0.23507817089557648, + "learning_rate": 9.843812893394801e-05, + "loss": 0.8976, + "step": 16010 + }, + { + "epoch": 1.93, + "grad_norm": 0.25539952516555786, + "learning_rate": 9.834150769750921e-05, + "loss": 0.8241, + "step": 16015 + }, + { + "epoch": 1.93, + "grad_norm": 0.24266016483306885, + "learning_rate": 9.824491077327242e-05, + "loss": 0.8013, + "step": 16020 + }, + { + "epoch": 1.93, + "grad_norm": 0.29498210549354553, + "learning_rate": 9.814833820669934e-05, + "loss": 0.8838, + "step": 16025 + }, + { + "epoch": 1.93, + "grad_norm": 0.26613032817840576, + "learning_rate": 9.805179004324022e-05, + "loss": 0.8375, + "step": 16030 + }, + { + "epoch": 1.93, + "grad_norm": 0.2595424950122833, + "learning_rate": 9.795526632833388e-05, + "loss": 0.8382, + "step": 16035 + }, + { + "epoch": 1.93, + "grad_norm": 0.24384133517742157, + "learning_rate": 9.785876710740755e-05, + "loss": 0.9724, + "step": 16040 + }, + { + "epoch": 1.93, + "grad_norm": 0.2365197241306305, + "learning_rate": 9.776229242587701e-05, + "loss": 0.8506, + "step": 16045 + }, + { + "epoch": 1.93, + "grad_norm": 0.2736034095287323, + "learning_rate": 9.766584232914633e-05, + "loss": 0.818, + "step": 16050 + }, + { + "epoch": 1.93, + "grad_norm": 0.2698809504508972, + "learning_rate": 9.756941686260826e-05, + "loss": 0.7629, + "step": 16055 + }, + { + "epoch": 1.94, + "grad_norm": 0.24631649255752563, + "learning_rate": 9.747301607164378e-05, + "loss": 0.8116, + "step": 16060 + }, + { + "epoch": 1.94, + "grad_norm": 0.23516754806041718, + "learning_rate": 9.737664000162233e-05, + "loss": 0.8521, + "step": 16065 + }, + { + "epoch": 1.94, + "grad_norm": 0.22055235505104065, + "learning_rate": 9.728028869790162e-05, + "loss": 0.8474, + "step": 16070 + }, + { + "epoch": 1.94, + "grad_norm": 0.27016615867614746, + "learning_rate": 9.718396220582785e-05, + "loss": 0.8257, + "step": 16075 + }, + { + "epoch": 1.94, + "grad_norm": 0.26734715700149536, + "learning_rate": 9.708766057073543e-05, + "loss": 0.7563, + "step": 16080 + }, + { + "epoch": 1.94, + "grad_norm": 0.2916874587535858, + "learning_rate": 9.69913838379471e-05, + "loss": 0.7673, + "step": 16085 + }, + { + "epoch": 1.94, + "grad_norm": 0.23642754554748535, + "learning_rate": 9.689513205277387e-05, + "loss": 0.8493, + "step": 16090 + }, + { + "epoch": 1.94, + "grad_norm": 0.2527269721031189, + "learning_rate": 9.679890526051507e-05, + "loss": 0.8293, + "step": 16095 + }, + { + "epoch": 1.94, + "grad_norm": 0.2781146168708801, + "learning_rate": 9.670270350645823e-05, + "loss": 0.728, + "step": 16100 + }, + { + "epoch": 1.94, + "grad_norm": 0.24582897126674652, + "learning_rate": 9.660652683587907e-05, + "loss": 0.8191, + "step": 16105 + }, + { + "epoch": 1.94, + "grad_norm": 0.28193217515945435, + "learning_rate": 9.65103752940415e-05, + "loss": 0.8848, + "step": 16110 + }, + { + "epoch": 1.94, + "grad_norm": 0.2869209349155426, + "learning_rate": 9.641424892619766e-05, + "loss": 0.7661, + "step": 16115 + }, + { + "epoch": 1.94, + "grad_norm": 0.25964149832725525, + "learning_rate": 9.631814777758782e-05, + "loss": 0.8795, + "step": 16120 + }, + { + "epoch": 1.94, + "grad_norm": 0.2651737332344055, + "learning_rate": 9.622207189344035e-05, + "loss": 0.8498, + "step": 16125 + }, + { + "epoch": 1.94, + "grad_norm": 0.24850745499134064, + "learning_rate": 9.612602131897169e-05, + "loss": 0.8648, + "step": 16130 + }, + { + "epoch": 1.94, + "grad_norm": 0.2507181167602539, + "learning_rate": 9.602999609938658e-05, + "loss": 0.7739, + "step": 16135 + }, + { + "epoch": 1.94, + "grad_norm": 0.24325953423976898, + "learning_rate": 9.593399627987757e-05, + "loss": 0.8611, + "step": 16140 + }, + { + "epoch": 1.95, + "grad_norm": 0.2649693489074707, + "learning_rate": 9.58380219056254e-05, + "loss": 0.7544, + "step": 16145 + }, + { + "epoch": 1.95, + "grad_norm": 0.25593236088752747, + "learning_rate": 9.574207302179874e-05, + "loss": 0.8856, + "step": 16150 + }, + { + "epoch": 1.95, + "grad_norm": 0.22325646877288818, + "learning_rate": 9.56461496735544e-05, + "loss": 0.7696, + "step": 16155 + }, + { + "epoch": 1.95, + "grad_norm": 0.2551780343055725, + "learning_rate": 9.555025190603709e-05, + "loss": 0.8319, + "step": 16160 + }, + { + "epoch": 1.95, + "grad_norm": 0.2650226354598999, + "learning_rate": 9.54543797643794e-05, + "loss": 0.873, + "step": 16165 + }, + { + "epoch": 1.95, + "grad_norm": 0.25608155131340027, + "learning_rate": 9.5358533293702e-05, + "loss": 0.8617, + "step": 16170 + }, + { + "epoch": 1.95, + "grad_norm": 0.2500768303871155, + "learning_rate": 9.526271253911346e-05, + "loss": 0.8167, + "step": 16175 + }, + { + "epoch": 1.95, + "grad_norm": 0.24089059233665466, + "learning_rate": 9.516691754571015e-05, + "loss": 0.8327, + "step": 16180 + }, + { + "epoch": 1.95, + "grad_norm": 0.24258366227149963, + "learning_rate": 9.50711483585764e-05, + "loss": 0.8146, + "step": 16185 + }, + { + "epoch": 1.95, + "grad_norm": 0.2549149990081787, + "learning_rate": 9.49754050227843e-05, + "loss": 0.8334, + "step": 16190 + }, + { + "epoch": 1.95, + "grad_norm": 0.23933325707912445, + "learning_rate": 9.487968758339395e-05, + "loss": 0.8018, + "step": 16195 + }, + { + "epoch": 1.95, + "grad_norm": 0.24095794558525085, + "learning_rate": 9.478399608545314e-05, + "loss": 0.8354, + "step": 16200 + }, + { + "epoch": 1.95, + "grad_norm": 0.2553461492061615, + "learning_rate": 9.468833057399741e-05, + "loss": 0.8267, + "step": 16205 + }, + { + "epoch": 1.95, + "grad_norm": 0.22408875823020935, + "learning_rate": 9.459269109405017e-05, + "loss": 0.9216, + "step": 16210 + }, + { + "epoch": 1.95, + "grad_norm": 0.2684914469718933, + "learning_rate": 9.44970776906225e-05, + "loss": 0.7983, + "step": 16215 + }, + { + "epoch": 1.95, + "grad_norm": 0.26553064584732056, + "learning_rate": 9.440149040871329e-05, + "loss": 0.8494, + "step": 16220 + }, + { + "epoch": 1.95, + "grad_norm": 0.2991175055503845, + "learning_rate": 9.430592929330907e-05, + "loss": 0.9366, + "step": 16225 + }, + { + "epoch": 1.96, + "grad_norm": 0.2854938209056854, + "learning_rate": 9.421039438938399e-05, + "loss": 0.7927, + "step": 16230 + }, + { + "epoch": 1.96, + "grad_norm": 0.23396198451519012, + "learning_rate": 9.41148857419001e-05, + "loss": 0.8203, + "step": 16235 + }, + { + "epoch": 1.96, + "grad_norm": 0.2335088849067688, + "learning_rate": 9.401940339580687e-05, + "loss": 0.8674, + "step": 16240 + }, + { + "epoch": 1.96, + "grad_norm": 0.27896398305892944, + "learning_rate": 9.392394739604141e-05, + "loss": 0.8955, + "step": 16245 + }, + { + "epoch": 1.96, + "grad_norm": 0.27797919511795044, + "learning_rate": 9.382851778752858e-05, + "loss": 0.8088, + "step": 16250 + }, + { + "epoch": 1.96, + "grad_norm": 0.22393245995044708, + "learning_rate": 9.373311461518066e-05, + "loss": 0.7955, + "step": 16255 + }, + { + "epoch": 1.96, + "grad_norm": 0.2545322775840759, + "learning_rate": 9.363773792389759e-05, + "loss": 0.8558, + "step": 16260 + }, + { + "epoch": 1.96, + "grad_norm": 0.23659881949424744, + "learning_rate": 9.354238775856672e-05, + "loss": 0.9073, + "step": 16265 + }, + { + "epoch": 1.96, + "grad_norm": 0.2683257460594177, + "learning_rate": 9.344706416406312e-05, + "loss": 0.7528, + "step": 16270 + }, + { + "epoch": 1.96, + "grad_norm": 0.2514216899871826, + "learning_rate": 9.335176718524919e-05, + "loss": 0.8392, + "step": 16275 + }, + { + "epoch": 1.96, + "grad_norm": 0.22830678522586823, + "learning_rate": 9.325649686697485e-05, + "loss": 0.7843, + "step": 16280 + }, + { + "epoch": 1.96, + "grad_norm": 0.2406618446111679, + "learning_rate": 9.316125325407746e-05, + "loss": 0.8878, + "step": 16285 + }, + { + "epoch": 1.96, + "grad_norm": 0.24721916019916534, + "learning_rate": 9.306603639138187e-05, + "loss": 0.8405, + "step": 16290 + }, + { + "epoch": 1.96, + "grad_norm": 0.2820783853530884, + "learning_rate": 9.297084632370026e-05, + "loss": 0.8073, + "step": 16295 + }, + { + "epoch": 1.96, + "grad_norm": 0.24439501762390137, + "learning_rate": 9.287568309583227e-05, + "loss": 0.9226, + "step": 16300 + }, + { + "epoch": 1.96, + "grad_norm": 0.25293993949890137, + "learning_rate": 9.278054675256479e-05, + "loss": 0.7773, + "step": 16305 + }, + { + "epoch": 1.97, + "grad_norm": 0.26933521032333374, + "learning_rate": 9.268543733867225e-05, + "loss": 0.8361, + "step": 16310 + }, + { + "epoch": 1.97, + "grad_norm": 0.27007099986076355, + "learning_rate": 9.259035489891628e-05, + "loss": 0.7993, + "step": 16315 + }, + { + "epoch": 1.97, + "grad_norm": 0.25989168882369995, + "learning_rate": 9.24952994780458e-05, + "loss": 0.8354, + "step": 16320 + }, + { + "epoch": 1.97, + "grad_norm": 0.2629483640193939, + "learning_rate": 9.240027112079702e-05, + "loss": 0.7799, + "step": 16325 + }, + { + "epoch": 1.97, + "grad_norm": 0.24853236973285675, + "learning_rate": 9.230526987189351e-05, + "loss": 0.7944, + "step": 16330 + }, + { + "epoch": 1.97, + "grad_norm": 0.2612740099430084, + "learning_rate": 9.2210295776046e-05, + "loss": 0.7517, + "step": 16335 + }, + { + "epoch": 1.97, + "grad_norm": 0.2724323570728302, + "learning_rate": 9.211534887795241e-05, + "loss": 0.8058, + "step": 16340 + }, + { + "epoch": 1.97, + "grad_norm": 0.2580575942993164, + "learning_rate": 9.202042922229788e-05, + "loss": 0.8327, + "step": 16345 + }, + { + "epoch": 1.97, + "grad_norm": 0.29225781559944153, + "learning_rate": 9.192553685375488e-05, + "loss": 0.847, + "step": 16350 + }, + { + "epoch": 1.97, + "grad_norm": 0.26023924350738525, + "learning_rate": 9.18306718169828e-05, + "loss": 0.8871, + "step": 16355 + }, + { + "epoch": 1.97, + "grad_norm": 0.26399603486061096, + "learning_rate": 9.173583415662835e-05, + "loss": 0.8788, + "step": 16360 + }, + { + "epoch": 1.97, + "grad_norm": 0.2926609516143799, + "learning_rate": 9.164102391732514e-05, + "loss": 0.7472, + "step": 16365 + }, + { + "epoch": 1.97, + "grad_norm": 0.2964513897895813, + "learning_rate": 9.156519549902523e-05, + "loss": 0.88, + "step": 16370 + }, + { + "epoch": 1.97, + "grad_norm": 0.28954005241394043, + "learning_rate": 9.147043473005033e-05, + "loss": 0.7696, + "step": 16375 + }, + { + "epoch": 1.97, + "grad_norm": 0.2357548326253891, + "learning_rate": 9.137570150703257e-05, + "loss": 0.7794, + "step": 16380 + }, + { + "epoch": 1.97, + "grad_norm": 0.22681371867656708, + "learning_rate": 9.128099587455652e-05, + "loss": 0.8403, + "step": 16385 + }, + { + "epoch": 1.97, + "grad_norm": 0.26432034373283386, + "learning_rate": 9.118631787719381e-05, + "loss": 0.8527, + "step": 16390 + }, + { + "epoch": 1.98, + "grad_norm": 0.2536108195781708, + "learning_rate": 9.109166755950302e-05, + "loss": 0.8427, + "step": 16395 + }, + { + "epoch": 1.98, + "grad_norm": 0.22776862978935242, + "learning_rate": 9.101596726464934e-05, + "loss": 0.8992, + "step": 16400 + }, + { + "epoch": 1.98, + "grad_norm": 0.24553075432777405, + "learning_rate": 9.092136688261414e-05, + "loss": 0.8519, + "step": 16405 + }, + { + "epoch": 1.98, + "grad_norm": 0.25476738810539246, + "learning_rate": 9.082679430494567e-05, + "loss": 0.7777, + "step": 16410 + }, + { + "epoch": 1.98, + "grad_norm": 0.2561832368373871, + "learning_rate": 9.07322495761529e-05, + "loss": 0.8118, + "step": 16415 + }, + { + "epoch": 1.98, + "grad_norm": 0.26670464873313904, + "learning_rate": 9.06377327407317e-05, + "loss": 0.873, + "step": 16420 + }, + { + "epoch": 1.98, + "grad_norm": 0.261623352766037, + "learning_rate": 9.05432438431648e-05, + "loss": 0.7815, + "step": 16425 + }, + { + "epoch": 1.98, + "grad_norm": 0.283966600894928, + "learning_rate": 9.044878292792187e-05, + "loss": 0.8202, + "step": 16430 + }, + { + "epoch": 1.98, + "grad_norm": 0.23486657440662384, + "learning_rate": 9.035435003945933e-05, + "loss": 0.802, + "step": 16435 + }, + { + "epoch": 1.98, + "grad_norm": 0.233073890209198, + "learning_rate": 9.025994522222043e-05, + "loss": 0.8367, + "step": 16440 + }, + { + "epoch": 1.98, + "grad_norm": 0.24187245965003967, + "learning_rate": 9.016556852063515e-05, + "loss": 0.894, + "step": 16445 + }, + { + "epoch": 1.98, + "grad_norm": 0.2719327211380005, + "learning_rate": 9.007121997912044e-05, + "loss": 0.9086, + "step": 16450 + }, + { + "epoch": 1.98, + "grad_norm": 0.2707170844078064, + "learning_rate": 8.997689964207978e-05, + "loss": 0.7866, + "step": 16455 + }, + { + "epoch": 1.98, + "grad_norm": 0.2778245508670807, + "learning_rate": 8.988260755390346e-05, + "loss": 0.8574, + "step": 16460 + }, + { + "epoch": 1.98, + "grad_norm": 0.24011406302452087, + "learning_rate": 8.978834375896841e-05, + "loss": 0.8875, + "step": 16465 + }, + { + "epoch": 1.98, + "grad_norm": 0.26258188486099243, + "learning_rate": 8.96941083016384e-05, + "loss": 0.8013, + "step": 16470 + }, + { + "epoch": 1.99, + "grad_norm": 0.25577783584594727, + "learning_rate": 8.95999012262637e-05, + "loss": 0.7737, + "step": 16475 + }, + { + "epoch": 1.99, + "grad_norm": 0.2674656808376312, + "learning_rate": 8.950572257718132e-05, + "loss": 0.8443, + "step": 16480 + }, + { + "epoch": 1.99, + "grad_norm": 0.2525770962238312, + "learning_rate": 8.941157239871479e-05, + "loss": 0.8448, + "step": 16485 + }, + { + "epoch": 1.99, + "grad_norm": 0.23468473553657532, + "learning_rate": 8.931745073517443e-05, + "loss": 0.883, + "step": 16490 + }, + { + "epoch": 1.99, + "grad_norm": 0.23663926124572754, + "learning_rate": 8.922335763085696e-05, + "loss": 0.8718, + "step": 16495 + }, + { + "epoch": 1.99, + "grad_norm": 0.22883319854736328, + "learning_rate": 8.912929313004572e-05, + "loss": 0.9618, + "step": 16500 + }, + { + "epoch": 1.99, + "grad_norm": 0.24675635993480682, + "learning_rate": 8.903525727701054e-05, + "loss": 0.8928, + "step": 16505 + }, + { + "epoch": 1.99, + "grad_norm": 0.2842852771282196, + "learning_rate": 8.89412501160079e-05, + "loss": 0.8255, + "step": 16510 + }, + { + "epoch": 1.99, + "grad_norm": 0.26586049795150757, + "learning_rate": 8.884727169128066e-05, + "loss": 0.9482, + "step": 16515 + }, + { + "epoch": 1.99, + "grad_norm": 0.3201524615287781, + "learning_rate": 8.875332204705818e-05, + "loss": 0.8118, + "step": 16520 + }, + { + "epoch": 1.99, + "grad_norm": 0.2589406967163086, + "learning_rate": 8.865940122755623e-05, + "loss": 0.8802, + "step": 16525 + }, + { + "epoch": 1.99, + "grad_norm": 0.28572580218315125, + "learning_rate": 8.85655092769772e-05, + "loss": 0.9211, + "step": 16530 + }, + { + "epoch": 1.99, + "grad_norm": 0.24606913328170776, + "learning_rate": 8.847164623950965e-05, + "loss": 0.8589, + "step": 16535 + }, + { + "epoch": 1.99, + "grad_norm": 0.2393767237663269, + "learning_rate": 8.837781215932862e-05, + "loss": 0.8135, + "step": 16540 + }, + { + "epoch": 1.99, + "grad_norm": 0.26532062888145447, + "learning_rate": 8.828400708059567e-05, + "loss": 0.7389, + "step": 16545 + }, + { + "epoch": 1.99, + "grad_norm": 0.25288575887680054, + "learning_rate": 8.81902310474585e-05, + "loss": 0.8357, + "step": 16550 + }, + { + "epoch": 1.99, + "grad_norm": 0.23215311765670776, + "learning_rate": 8.809648410405123e-05, + "loss": 0.7262, + "step": 16555 + }, + { + "epoch": 2.0, + "grad_norm": 0.2512628734111786, + "learning_rate": 8.800276629449426e-05, + "loss": 0.7932, + "step": 16560 + }, + { + "epoch": 2.0, + "grad_norm": 0.23022831976413727, + "learning_rate": 8.790907766289437e-05, + "loss": 0.7226, + "step": 16565 + }, + { + "epoch": 2.0, + "grad_norm": 0.24034039676189423, + "learning_rate": 8.781541825334453e-05, + "loss": 0.8625, + "step": 16570 + }, + { + "epoch": 2.0, + "grad_norm": 0.23891344666481018, + "learning_rate": 8.772178810992392e-05, + "loss": 0.8287, + "step": 16575 + }, + { + "epoch": 2.0, + "grad_norm": 0.23461419343948364, + "learning_rate": 8.762818727669797e-05, + "loss": 0.7968, + "step": 16580 + }, + { + "epoch": 2.0, + "grad_norm": 0.24658669531345367, + "learning_rate": 8.753461579771846e-05, + "loss": 0.787, + "step": 16585 + }, + { + "epoch": 2.0, + "grad_norm": 0.23091553151607513, + "learning_rate": 8.744107371702315e-05, + "loss": 0.8718, + "step": 16590 + }, + { + "epoch": 2.0, + "grad_norm": 0.26409897208213806, + "learning_rate": 8.734756107863608e-05, + "loss": 0.8378, + "step": 16595 + }, + { + "epoch": 2.0, + "grad_norm": 0.27900955080986023, + "learning_rate": 8.725407792656731e-05, + "loss": 0.7441, + "step": 16600 + }, + { + "epoch": 2.0, + "grad_norm": 0.2287808060646057, + "learning_rate": 8.716062430481328e-05, + "loss": 0.8506, + "step": 16605 + }, + { + "epoch": 2.0, + "grad_norm": 0.26879292726516724, + "learning_rate": 8.706720025735627e-05, + "loss": 0.8325, + "step": 16610 + }, + { + "epoch": 2.0, + "grad_norm": 0.28211572766304016, + "learning_rate": 8.697380582816476e-05, + "loss": 0.8599, + "step": 16615 + }, + { + "epoch": 2.0, + "grad_norm": 0.2926715016365051, + "learning_rate": 8.688044106119325e-05, + "loss": 0.7717, + "step": 16620 + }, + { + "epoch": 2.0, + "grad_norm": 0.27610814571380615, + "learning_rate": 8.678710600038233e-05, + "loss": 0.8317, + "step": 16625 + }, + { + "epoch": 2.0, + "grad_norm": 0.2478606104850769, + "learning_rate": 8.669380068965856e-05, + "loss": 0.8358, + "step": 16630 + }, + { + "epoch": 2.0, + "grad_norm": 0.2299978882074356, + "learning_rate": 8.660052517293448e-05, + "loss": 0.8603, + "step": 16635 + }, + { + "epoch": 2.0, + "grad_norm": 0.27341413497924805, + "learning_rate": 8.650727949410867e-05, + "loss": 0.9561, + "step": 16640 + }, + { + "epoch": 2.01, + "grad_norm": 0.25213295221328735, + "learning_rate": 8.641406369706572e-05, + "loss": 0.8045, + "step": 16645 + }, + { + "epoch": 2.01, + "grad_norm": 0.2605089843273163, + "learning_rate": 8.6320877825676e-05, + "loss": 0.8112, + "step": 16650 + }, + { + "epoch": 2.01, + "grad_norm": 0.27594542503356934, + "learning_rate": 8.622772192379588e-05, + "loss": 0.8145, + "step": 16655 + }, + { + "epoch": 2.01, + "grad_norm": 0.2801823318004608, + "learning_rate": 8.61345960352676e-05, + "loss": 0.6998, + "step": 16660 + }, + { + "epoch": 2.01, + "grad_norm": 0.2606346011161804, + "learning_rate": 8.604150020391937e-05, + "loss": 0.7655, + "step": 16665 + }, + { + "epoch": 2.01, + "grad_norm": 0.23958322405815125, + "learning_rate": 8.594843447356517e-05, + "loss": 0.8022, + "step": 16670 + }, + { + "epoch": 2.01, + "grad_norm": 0.26263347268104553, + "learning_rate": 8.585539888800475e-05, + "loss": 0.7376, + "step": 16675 + }, + { + "epoch": 2.01, + "grad_norm": 0.23959647119045258, + "learning_rate": 8.576239349102375e-05, + "loss": 0.763, + "step": 16680 + }, + { + "epoch": 2.01, + "grad_norm": 0.25928083062171936, + "learning_rate": 8.56694183263937e-05, + "loss": 0.7902, + "step": 16685 + }, + { + "epoch": 2.01, + "grad_norm": 0.24009615182876587, + "learning_rate": 8.557647343787175e-05, + "loss": 0.8473, + "step": 16690 + }, + { + "epoch": 2.01, + "grad_norm": 0.2364853471517563, + "learning_rate": 8.548355886920084e-05, + "loss": 0.7173, + "step": 16695 + }, + { + "epoch": 2.01, + "grad_norm": 0.2518242299556732, + "learning_rate": 8.539067466410962e-05, + "loss": 0.8219, + "step": 16700 + }, + { + "epoch": 2.01, + "grad_norm": 0.28275394439697266, + "learning_rate": 8.529782086631254e-05, + "loss": 0.9054, + "step": 16705 + }, + { + "epoch": 2.01, + "grad_norm": 0.2858952283859253, + "learning_rate": 8.520499751950965e-05, + "loss": 0.8016, + "step": 16710 + }, + { + "epoch": 2.01, + "grad_norm": 0.2402840256690979, + "learning_rate": 8.51122046673867e-05, + "loss": 0.8295, + "step": 16715 + }, + { + "epoch": 2.01, + "grad_norm": 0.2762582004070282, + "learning_rate": 8.501944235361502e-05, + "loss": 0.733, + "step": 16720 + }, + { + "epoch": 2.02, + "grad_norm": 0.2743135094642639, + "learning_rate": 8.492671062185177e-05, + "loss": 0.7954, + "step": 16725 + }, + { + "epoch": 2.02, + "grad_norm": 0.24607881903648376, + "learning_rate": 8.483400951573954e-05, + "loss": 0.7754, + "step": 16730 + }, + { + "epoch": 2.02, + "grad_norm": 0.27087563276290894, + "learning_rate": 8.474133907890651e-05, + "loss": 0.7463, + "step": 16735 + }, + { + "epoch": 2.02, + "grad_norm": 0.24239374697208405, + "learning_rate": 8.464869935496641e-05, + "loss": 0.7516, + "step": 16740 + }, + { + "epoch": 2.02, + "grad_norm": 0.27605438232421875, + "learning_rate": 8.455609038751871e-05, + "loss": 0.7053, + "step": 16745 + }, + { + "epoch": 2.02, + "grad_norm": 0.29548242688179016, + "learning_rate": 8.446351222014822e-05, + "loss": 0.7657, + "step": 16750 + }, + { + "epoch": 2.02, + "grad_norm": 0.26143786311149597, + "learning_rate": 8.437096489642526e-05, + "loss": 0.7796, + "step": 16755 + }, + { + "epoch": 2.02, + "grad_norm": 0.26324915885925293, + "learning_rate": 8.42784484599057e-05, + "loss": 0.7717, + "step": 16760 + }, + { + "epoch": 2.02, + "grad_norm": 0.2451925128698349, + "learning_rate": 8.418596295413083e-05, + "loss": 0.8181, + "step": 16765 + }, + { + "epoch": 2.02, + "grad_norm": 0.26199206709861755, + "learning_rate": 8.409350842262741e-05, + "loss": 0.8205, + "step": 16770 + }, + { + "epoch": 2.02, + "grad_norm": 0.26254212856292725, + "learning_rate": 8.400108490890763e-05, + "loss": 0.7734, + "step": 16775 + }, + { + "epoch": 2.02, + "grad_norm": 0.24498294293880463, + "learning_rate": 8.390869245646897e-05, + "loss": 0.7043, + "step": 16780 + }, + { + "epoch": 2.02, + "grad_norm": 0.30816173553466797, + "learning_rate": 8.381633110879454e-05, + "loss": 0.8023, + "step": 16785 + }, + { + "epoch": 2.02, + "grad_norm": 0.24860282242298126, + "learning_rate": 8.372400090935256e-05, + "loss": 0.7682, + "step": 16790 + }, + { + "epoch": 2.02, + "grad_norm": 0.28883734345436096, + "learning_rate": 8.363170190159673e-05, + "loss": 0.8831, + "step": 16795 + }, + { + "epoch": 2.02, + "grad_norm": 0.28336241841316223, + "learning_rate": 8.353943412896596e-05, + "loss": 0.7443, + "step": 16800 + }, + { + "epoch": 2.02, + "grad_norm": 0.27060964703559875, + "learning_rate": 8.34471976348846e-05, + "loss": 0.8307, + "step": 16805 + }, + { + "epoch": 2.03, + "grad_norm": 0.27045443654060364, + "learning_rate": 8.33549924627622e-05, + "loss": 0.7417, + "step": 16810 + }, + { + "epoch": 2.03, + "grad_norm": 0.24936868250370026, + "learning_rate": 8.326281865599356e-05, + "loss": 0.801, + "step": 16815 + }, + { + "epoch": 2.03, + "grad_norm": 0.28478366136550903, + "learning_rate": 8.317067625795867e-05, + "loss": 0.7997, + "step": 16820 + }, + { + "epoch": 2.03, + "grad_norm": 0.28683024644851685, + "learning_rate": 8.307856531202295e-05, + "loss": 0.8765, + "step": 16825 + }, + { + "epoch": 2.03, + "grad_norm": 0.2502270042896271, + "learning_rate": 8.298648586153676e-05, + "loss": 0.8878, + "step": 16830 + }, + { + "epoch": 2.03, + "grad_norm": 0.25373736023902893, + "learning_rate": 8.289443794983578e-05, + "loss": 0.7722, + "step": 16835 + }, + { + "epoch": 2.03, + "grad_norm": 0.2576674818992615, + "learning_rate": 8.280242162024079e-05, + "loss": 0.8224, + "step": 16840 + }, + { + "epoch": 2.03, + "grad_norm": 0.26497557759284973, + "learning_rate": 8.271043691605778e-05, + "loss": 0.8216, + "step": 16845 + }, + { + "epoch": 2.03, + "grad_norm": 0.2641935646533966, + "learning_rate": 8.261848388057775e-05, + "loss": 0.755, + "step": 16850 + }, + { + "epoch": 2.03, + "grad_norm": 0.28792330622673035, + "learning_rate": 8.252656255707689e-05, + "loss": 0.7801, + "step": 16855 + }, + { + "epoch": 2.03, + "grad_norm": 0.2565497159957886, + "learning_rate": 8.243467298881636e-05, + "loss": 0.7938, + "step": 16860 + }, + { + "epoch": 2.03, + "grad_norm": 0.2724232077598572, + "learning_rate": 8.234281521904253e-05, + "loss": 0.8549, + "step": 16865 + }, + { + "epoch": 2.03, + "grad_norm": 0.24661044776439667, + "learning_rate": 8.225098929098673e-05, + "loss": 0.812, + "step": 16870 + }, + { + "epoch": 2.03, + "grad_norm": 0.23888921737670898, + "learning_rate": 8.215919524786521e-05, + "loss": 0.7724, + "step": 16875 + }, + { + "epoch": 2.03, + "grad_norm": 0.24567218124866486, + "learning_rate": 8.206743313287925e-05, + "loss": 0.7095, + "step": 16880 + }, + { + "epoch": 2.03, + "grad_norm": 0.2549126148223877, + "learning_rate": 8.197570298921533e-05, + "loss": 0.7106, + "step": 16885 + }, + { + "epoch": 2.04, + "grad_norm": 0.2611244022846222, + "learning_rate": 8.18840048600446e-05, + "loss": 0.8283, + "step": 16890 + }, + { + "epoch": 2.04, + "grad_norm": 0.24455487728118896, + "learning_rate": 8.179233878852323e-05, + "loss": 0.7387, + "step": 16895 + }, + { + "epoch": 2.04, + "grad_norm": 0.3053877651691437, + "learning_rate": 8.170070481779224e-05, + "loss": 0.8595, + "step": 16900 + }, + { + "epoch": 2.04, + "grad_norm": 0.2966110408306122, + "learning_rate": 8.160910299097782e-05, + "loss": 0.7955, + "step": 16905 + }, + { + "epoch": 2.04, + "grad_norm": 0.29260462522506714, + "learning_rate": 8.15175333511907e-05, + "loss": 0.8606, + "step": 16910 + }, + { + "epoch": 2.04, + "grad_norm": 0.27227169275283813, + "learning_rate": 8.14259959415267e-05, + "loss": 0.6951, + "step": 16915 + }, + { + "epoch": 2.04, + "grad_norm": 0.2581891417503357, + "learning_rate": 8.133449080506615e-05, + "loss": 0.8414, + "step": 16920 + }, + { + "epoch": 2.04, + "grad_norm": 0.2824326157569885, + "learning_rate": 8.124301798487458e-05, + "loss": 0.7542, + "step": 16925 + }, + { + "epoch": 2.04, + "grad_norm": 0.28472477197647095, + "learning_rate": 8.115157752400211e-05, + "loss": 0.7875, + "step": 16930 + }, + { + "epoch": 2.04, + "grad_norm": 0.3563947081565857, + "learning_rate": 8.106016946548365e-05, + "loss": 0.8582, + "step": 16935 + }, + { + "epoch": 2.04, + "grad_norm": 0.27918270230293274, + "learning_rate": 8.096879385233879e-05, + "loss": 0.8431, + "step": 16940 + }, + { + "epoch": 2.04, + "grad_norm": 0.31938403844833374, + "learning_rate": 8.087745072757208e-05, + "loss": 0.8991, + "step": 16945 + }, + { + "epoch": 2.04, + "grad_norm": 0.33040347695350647, + "learning_rate": 8.078614013417253e-05, + "loss": 0.7591, + "step": 16950 + }, + { + "epoch": 2.04, + "grad_norm": 0.28828245401382446, + "learning_rate": 8.069486211511394e-05, + "loss": 0.7754, + "step": 16955 + }, + { + "epoch": 2.04, + "grad_norm": 0.24763058125972748, + "learning_rate": 8.060361671335474e-05, + "loss": 0.7698, + "step": 16960 + }, + { + "epoch": 2.04, + "grad_norm": 0.23437534272670746, + "learning_rate": 8.051240397183818e-05, + "loss": 0.7253, + "step": 16965 + }, + { + "epoch": 2.04, + "grad_norm": 0.2842622995376587, + "learning_rate": 8.042122393349189e-05, + "loss": 0.773, + "step": 16970 + }, + { + "epoch": 2.05, + "grad_norm": 0.26870718598365784, + "learning_rate": 8.033007664122827e-05, + "loss": 0.7793, + "step": 16975 + }, + { + "epoch": 2.05, + "grad_norm": 0.26021209359169006, + "learning_rate": 8.023896213794425e-05, + "loss": 0.8217, + "step": 16980 + }, + { + "epoch": 2.05, + "grad_norm": 0.26792365312576294, + "learning_rate": 8.014788046652135e-05, + "loss": 0.8153, + "step": 16985 + }, + { + "epoch": 2.05, + "grad_norm": 0.2724539637565613, + "learning_rate": 8.00568316698256e-05, + "loss": 0.7681, + "step": 16990 + }, + { + "epoch": 2.05, + "grad_norm": 0.27169302105903625, + "learning_rate": 7.996581579070762e-05, + "loss": 0.7707, + "step": 16995 + }, + { + "epoch": 2.05, + "grad_norm": 0.25969168543815613, + "learning_rate": 7.987483287200243e-05, + "loss": 0.8198, + "step": 17000 + }, + { + "epoch": 2.05, + "grad_norm": 0.279259592294693, + "learning_rate": 7.978388295652974e-05, + "loss": 0.7626, + "step": 17005 + }, + { + "epoch": 2.05, + "grad_norm": 0.27438825368881226, + "learning_rate": 7.969296608709351e-05, + "loss": 0.7247, + "step": 17010 + }, + { + "epoch": 2.05, + "grad_norm": 0.30393609404563904, + "learning_rate": 7.96020823064823e-05, + "loss": 0.7484, + "step": 17015 + }, + { + "epoch": 2.05, + "grad_norm": 0.2659038007259369, + "learning_rate": 7.951123165746892e-05, + "loss": 0.9497, + "step": 17020 + }, + { + "epoch": 2.05, + "grad_norm": 0.2514190673828125, + "learning_rate": 7.942041418281086e-05, + "loss": 0.729, + "step": 17025 + }, + { + "epoch": 2.05, + "grad_norm": 0.2725908160209656, + "learning_rate": 7.932962992524974e-05, + "loss": 0.8552, + "step": 17030 + }, + { + "epoch": 2.05, + "grad_norm": 0.28015610575675964, + "learning_rate": 7.923887892751165e-05, + "loss": 0.7491, + "step": 17035 + }, + { + "epoch": 2.05, + "grad_norm": 0.2758082151412964, + "learning_rate": 7.914816123230703e-05, + "loss": 0.7509, + "step": 17040 + }, + { + "epoch": 2.05, + "grad_norm": 0.26611337065696716, + "learning_rate": 7.905747688233069e-05, + "loss": 0.7658, + "step": 17045 + }, + { + "epoch": 2.05, + "grad_norm": 0.24941769242286682, + "learning_rate": 7.896682592026164e-05, + "loss": 0.7546, + "step": 17050 + }, + { + "epoch": 2.05, + "grad_norm": 0.28314536809921265, + "learning_rate": 7.887620838876326e-05, + "loss": 0.7747, + "step": 17055 + }, + { + "epoch": 2.06, + "grad_norm": 0.29477396607398987, + "learning_rate": 7.878562433048316e-05, + "loss": 0.8356, + "step": 17060 + }, + { + "epoch": 2.06, + "grad_norm": 0.278089314699173, + "learning_rate": 7.869507378805321e-05, + "loss": 0.8421, + "step": 17065 + }, + { + "epoch": 2.06, + "grad_norm": 0.27571311593055725, + "learning_rate": 7.86045568040895e-05, + "loss": 0.8294, + "step": 17070 + }, + { + "epoch": 2.06, + "grad_norm": 0.27711910009384155, + "learning_rate": 7.851407342119226e-05, + "loss": 0.8208, + "step": 17075 + }, + { + "epoch": 2.06, + "grad_norm": 0.27659597992897034, + "learning_rate": 7.842362368194611e-05, + "loss": 0.7766, + "step": 17080 + }, + { + "epoch": 2.06, + "grad_norm": 0.28369686007499695, + "learning_rate": 7.833320762891964e-05, + "loss": 0.8258, + "step": 17085 + }, + { + "epoch": 2.06, + "grad_norm": 0.2623741626739502, + "learning_rate": 7.824282530466562e-05, + "loss": 0.836, + "step": 17090 + }, + { + "epoch": 2.06, + "grad_norm": 0.2581416368484497, + "learning_rate": 7.815247675172097e-05, + "loss": 0.7441, + "step": 17095 + }, + { + "epoch": 2.06, + "grad_norm": 0.2673351764678955, + "learning_rate": 7.806216201260677e-05, + "loss": 0.8585, + "step": 17100 + }, + { + "epoch": 2.06, + "grad_norm": 0.26765942573547363, + "learning_rate": 7.797188112982811e-05, + "loss": 0.7769, + "step": 17105 + }, + { + "epoch": 2.06, + "grad_norm": 0.28835397958755493, + "learning_rate": 7.788163414587417e-05, + "loss": 0.8654, + "step": 17110 + }, + { + "epoch": 2.06, + "grad_norm": 0.263345330953598, + "learning_rate": 7.779142110321812e-05, + "loss": 0.9097, + "step": 17115 + }, + { + "epoch": 2.06, + "grad_norm": 0.2905290126800537, + "learning_rate": 7.770124204431734e-05, + "loss": 0.8099, + "step": 17120 + }, + { + "epoch": 2.06, + "grad_norm": 0.2563280463218689, + "learning_rate": 7.761109701161308e-05, + "loss": 0.8323, + "step": 17125 + }, + { + "epoch": 2.06, + "grad_norm": 0.24418336153030396, + "learning_rate": 7.752098604753045e-05, + "loss": 0.7408, + "step": 17130 + }, + { + "epoch": 2.06, + "grad_norm": 0.267090767621994, + "learning_rate": 7.743090919447869e-05, + "loss": 0.6895, + "step": 17135 + }, + { + "epoch": 2.07, + "grad_norm": 0.2744917869567871, + "learning_rate": 7.734086649485109e-05, + "loss": 0.7986, + "step": 17140 + }, + { + "epoch": 2.07, + "grad_norm": 0.2881864011287689, + "learning_rate": 7.725085799102464e-05, + "loss": 0.7426, + "step": 17145 + }, + { + "epoch": 2.07, + "grad_norm": 0.32715755701065063, + "learning_rate": 7.716088372536035e-05, + "loss": 0.779, + "step": 17150 + }, + { + "epoch": 2.07, + "grad_norm": 0.2890661060810089, + "learning_rate": 7.707094374020302e-05, + "loss": 0.8839, + "step": 17155 + }, + { + "epoch": 2.07, + "grad_norm": 0.2906983196735382, + "learning_rate": 7.698103807788152e-05, + "loss": 0.9254, + "step": 17160 + }, + { + "epoch": 2.07, + "grad_norm": 0.27394556999206543, + "learning_rate": 7.689116678070839e-05, + "loss": 0.7887, + "step": 17165 + }, + { + "epoch": 2.07, + "grad_norm": 0.2804103195667267, + "learning_rate": 7.680132989098004e-05, + "loss": 0.7343, + "step": 17170 + }, + { + "epoch": 2.07, + "grad_norm": 0.2799692451953888, + "learning_rate": 7.671152745097664e-05, + "loss": 0.7547, + "step": 17175 + }, + { + "epoch": 2.07, + "grad_norm": 0.2532331943511963, + "learning_rate": 7.662175950296231e-05, + "loss": 0.8438, + "step": 17180 + }, + { + "epoch": 2.07, + "grad_norm": 0.2761310338973999, + "learning_rate": 7.653202608918479e-05, + "loss": 0.7216, + "step": 17185 + }, + { + "epoch": 2.07, + "grad_norm": 0.27380895614624023, + "learning_rate": 7.644232725187557e-05, + "loss": 0.7755, + "step": 17190 + }, + { + "epoch": 2.07, + "grad_norm": 0.3025756776332855, + "learning_rate": 7.635266303324993e-05, + "loss": 0.7884, + "step": 17195 + }, + { + "epoch": 2.07, + "grad_norm": 0.26098042726516724, + "learning_rate": 7.62630334755068e-05, + "loss": 0.7618, + "step": 17200 + }, + { + "epoch": 2.07, + "grad_norm": 0.2765859365463257, + "learning_rate": 7.617343862082887e-05, + "loss": 0.8837, + "step": 17205 + }, + { + "epoch": 2.07, + "grad_norm": 0.29430699348449707, + "learning_rate": 7.608387851138241e-05, + "loss": 0.8484, + "step": 17210 + }, + { + "epoch": 2.07, + "grad_norm": 0.2927020788192749, + "learning_rate": 7.599435318931737e-05, + "loss": 0.7411, + "step": 17215 + }, + { + "epoch": 2.07, + "grad_norm": 0.29646044969558716, + "learning_rate": 7.590486269676741e-05, + "loss": 0.7927, + "step": 17220 + }, + { + "epoch": 2.08, + "grad_norm": 0.2691041827201843, + "learning_rate": 7.58154070758497e-05, + "loss": 0.7709, + "step": 17225 + }, + { + "epoch": 2.08, + "grad_norm": 0.2560572922229767, + "learning_rate": 7.572598636866499e-05, + "loss": 0.8836, + "step": 17230 + }, + { + "epoch": 2.08, + "grad_norm": 0.27019980549812317, + "learning_rate": 7.563660061729763e-05, + "loss": 0.83, + "step": 17235 + }, + { + "epoch": 2.08, + "grad_norm": 0.2663953900337219, + "learning_rate": 7.554724986381558e-05, + "loss": 0.7005, + "step": 17240 + }, + { + "epoch": 2.08, + "grad_norm": 0.2575012743473053, + "learning_rate": 7.545793415027026e-05, + "loss": 0.8471, + "step": 17245 + }, + { + "epoch": 2.08, + "grad_norm": 0.3181961476802826, + "learning_rate": 7.53686535186966e-05, + "loss": 0.8156, + "step": 17250 + }, + { + "epoch": 2.08, + "grad_norm": 0.2710973024368286, + "learning_rate": 7.527940801111296e-05, + "loss": 0.7603, + "step": 17255 + }, + { + "epoch": 2.08, + "grad_norm": 0.23654502630233765, + "learning_rate": 7.519019766952135e-05, + "loss": 0.7897, + "step": 17260 + }, + { + "epoch": 2.08, + "grad_norm": 0.2502569258213043, + "learning_rate": 7.51010225359071e-05, + "loss": 0.7789, + "step": 17265 + }, + { + "epoch": 2.08, + "grad_norm": 0.2620236277580261, + "learning_rate": 7.501188265223893e-05, + "loss": 0.7543, + "step": 17270 + }, + { + "epoch": 2.08, + "grad_norm": 0.27987682819366455, + "learning_rate": 7.492277806046908e-05, + "loss": 0.8192, + "step": 17275 + }, + { + "epoch": 2.08, + "grad_norm": 0.23856423795223236, + "learning_rate": 7.483370880253311e-05, + "loss": 0.7938, + "step": 17280 + }, + { + "epoch": 2.08, + "grad_norm": 0.26246753334999084, + "learning_rate": 7.474467492034998e-05, + "loss": 0.7727, + "step": 17285 + }, + { + "epoch": 2.08, + "grad_norm": 0.2560681998729706, + "learning_rate": 7.465567645582199e-05, + "loss": 0.7481, + "step": 17290 + }, + { + "epoch": 2.08, + "grad_norm": 0.27870872616767883, + "learning_rate": 7.45667134508347e-05, + "loss": 0.7659, + "step": 17295 + }, + { + "epoch": 2.08, + "grad_norm": 0.2658903896808624, + "learning_rate": 7.447778594725717e-05, + "loss": 0.8235, + "step": 17300 + }, + { + "epoch": 2.09, + "grad_norm": 0.3086778223514557, + "learning_rate": 7.438889398694161e-05, + "loss": 0.8337, + "step": 17305 + }, + { + "epoch": 2.09, + "grad_norm": 0.2679433226585388, + "learning_rate": 7.430003761172349e-05, + "loss": 0.7323, + "step": 17310 + }, + { + "epoch": 2.09, + "grad_norm": 0.2665143311023712, + "learning_rate": 7.421121686342152e-05, + "loss": 0.8554, + "step": 17315 + }, + { + "epoch": 2.09, + "grad_norm": 0.24720510840415955, + "learning_rate": 7.412243178383784e-05, + "loss": 0.788, + "step": 17320 + }, + { + "epoch": 2.09, + "grad_norm": 0.28797394037246704, + "learning_rate": 7.403368241475757e-05, + "loss": 0.7654, + "step": 17325 + }, + { + "epoch": 2.09, + "grad_norm": 0.24396300315856934, + "learning_rate": 7.394496879794911e-05, + "loss": 0.8301, + "step": 17330 + }, + { + "epoch": 2.09, + "grad_norm": 0.26526421308517456, + "learning_rate": 7.385629097516407e-05, + "loss": 0.9021, + "step": 17335 + }, + { + "epoch": 2.09, + "grad_norm": 0.2767682671546936, + "learning_rate": 7.376764898813714e-05, + "loss": 0.7755, + "step": 17340 + }, + { + "epoch": 2.09, + "grad_norm": 0.3317005932331085, + "learning_rate": 7.367904287858618e-05, + "loss": 0.8482, + "step": 17345 + }, + { + "epoch": 2.09, + "grad_norm": 0.2770203948020935, + "learning_rate": 7.359047268821219e-05, + "loss": 0.8076, + "step": 17350 + }, + { + "epoch": 2.09, + "grad_norm": 0.2635518014431, + "learning_rate": 7.350193845869918e-05, + "loss": 0.8716, + "step": 17355 + }, + { + "epoch": 2.09, + "grad_norm": 0.2668205797672272, + "learning_rate": 7.341344023171441e-05, + "loss": 0.7338, + "step": 17360 + }, + { + "epoch": 2.09, + "grad_norm": 0.29583418369293213, + "learning_rate": 7.332497804890803e-05, + "loss": 0.7572, + "step": 17365 + }, + { + "epoch": 2.09, + "grad_norm": 0.26507455110549927, + "learning_rate": 7.323655195191328e-05, + "loss": 0.7844, + "step": 17370 + }, + { + "epoch": 2.09, + "grad_norm": 0.2781868278980255, + "learning_rate": 7.314816198234636e-05, + "loss": 0.7465, + "step": 17375 + }, + { + "epoch": 2.09, + "grad_norm": 0.2629784345626831, + "learning_rate": 7.305980818180663e-05, + "loss": 0.8417, + "step": 17380 + }, + { + "epoch": 2.09, + "grad_norm": 0.2834410071372986, + "learning_rate": 7.297149059187628e-05, + "loss": 0.7415, + "step": 17385 + }, + { + "epoch": 2.1, + "grad_norm": 0.3003019392490387, + "learning_rate": 7.28832092541205e-05, + "loss": 0.8308, + "step": 17390 + }, + { + "epoch": 2.1, + "grad_norm": 0.2973310351371765, + "learning_rate": 7.279496421008735e-05, + "loss": 0.7261, + "step": 17395 + }, + { + "epoch": 2.1, + "grad_norm": 0.2581186890602112, + "learning_rate": 7.2706755501308e-05, + "loss": 0.6732, + "step": 17400 + }, + { + "epoch": 2.1, + "grad_norm": 0.276574969291687, + "learning_rate": 7.261858316929634e-05, + "loss": 0.7984, + "step": 17405 + }, + { + "epoch": 2.1, + "grad_norm": 0.24236898124217987, + "learning_rate": 7.253044725554922e-05, + "loss": 0.7923, + "step": 17410 + }, + { + "epoch": 2.1, + "grad_norm": 0.26904451847076416, + "learning_rate": 7.244234780154627e-05, + "loss": 0.7706, + "step": 17415 + }, + { + "epoch": 2.1, + "grad_norm": 0.2632739841938019, + "learning_rate": 7.235428484875006e-05, + "loss": 0.748, + "step": 17420 + }, + { + "epoch": 2.1, + "grad_norm": 0.3082495629787445, + "learning_rate": 7.226625843860595e-05, + "loss": 0.8136, + "step": 17425 + }, + { + "epoch": 2.1, + "grad_norm": 0.25225359201431274, + "learning_rate": 7.217826861254208e-05, + "loss": 0.7853, + "step": 17430 + }, + { + "epoch": 2.1, + "grad_norm": 0.2693781554698944, + "learning_rate": 7.209031541196931e-05, + "loss": 0.8022, + "step": 17435 + }, + { + "epoch": 2.1, + "grad_norm": 0.2704066038131714, + "learning_rate": 7.200239887828147e-05, + "loss": 0.8619, + "step": 17440 + }, + { + "epoch": 2.1, + "grad_norm": 0.2754969000816345, + "learning_rate": 7.191451905285494e-05, + "loss": 0.7699, + "step": 17445 + }, + { + "epoch": 2.1, + "grad_norm": 0.2515884041786194, + "learning_rate": 7.182667597704889e-05, + "loss": 0.7937, + "step": 17450 + }, + { + "epoch": 2.1, + "grad_norm": 0.27935126423835754, + "learning_rate": 7.17388696922051e-05, + "loss": 0.7801, + "step": 17455 + }, + { + "epoch": 2.1, + "grad_norm": 0.24923402070999146, + "learning_rate": 7.165110023964828e-05, + "loss": 0.8244, + "step": 17460 + }, + { + "epoch": 2.1, + "grad_norm": 0.30999448895454407, + "learning_rate": 7.156336766068557e-05, + "loss": 0.7159, + "step": 17465 + }, + { + "epoch": 2.1, + "grad_norm": 0.2763430178165436, + "learning_rate": 7.147567199660684e-05, + "loss": 0.8173, + "step": 17470 + }, + { + "epoch": 2.11, + "grad_norm": 0.25914233922958374, + "learning_rate": 7.138801328868453e-05, + "loss": 0.7264, + "step": 17475 + }, + { + "epoch": 2.11, + "grad_norm": 0.28961434960365295, + "learning_rate": 7.130039157817384e-05, + "loss": 0.7886, + "step": 17480 + }, + { + "epoch": 2.11, + "grad_norm": 0.29315581917762756, + "learning_rate": 7.121280690631239e-05, + "loss": 0.7655, + "step": 17485 + }, + { + "epoch": 2.11, + "grad_norm": 0.24615170061588287, + "learning_rate": 7.112525931432047e-05, + "loss": 0.7012, + "step": 17490 + }, + { + "epoch": 2.11, + "grad_norm": 0.28100574016571045, + "learning_rate": 7.103774884340087e-05, + "loss": 0.8085, + "step": 17495 + }, + { + "epoch": 2.11, + "grad_norm": 0.25875842571258545, + "learning_rate": 7.095027553473891e-05, + "loss": 0.85, + "step": 17500 + }, + { + "epoch": 2.11, + "grad_norm": 0.28253424167633057, + "learning_rate": 7.086283942950246e-05, + "loss": 0.7207, + "step": 17505 + }, + { + "epoch": 2.11, + "grad_norm": 0.2582673728466034, + "learning_rate": 7.077544056884182e-05, + "loss": 0.8388, + "step": 17510 + }, + { + "epoch": 2.11, + "grad_norm": 0.2423962503671646, + "learning_rate": 7.068807899388976e-05, + "loss": 0.7351, + "step": 17515 + }, + { + "epoch": 2.11, + "grad_norm": 0.2518567144870758, + "learning_rate": 7.060075474576165e-05, + "loss": 0.755, + "step": 17520 + }, + { + "epoch": 2.11, + "grad_norm": 0.2877778708934784, + "learning_rate": 7.051346786555513e-05, + "loss": 0.7769, + "step": 17525 + }, + { + "epoch": 2.11, + "grad_norm": 0.2926938235759735, + "learning_rate": 7.042621839435029e-05, + "loss": 0.8798, + "step": 17530 + }, + { + "epoch": 2.11, + "grad_norm": 0.295379638671875, + "learning_rate": 7.033900637320958e-05, + "loss": 0.7104, + "step": 17535 + }, + { + "epoch": 2.11, + "grad_norm": 0.27940165996551514, + "learning_rate": 7.0251831843178e-05, + "loss": 0.732, + "step": 17540 + }, + { + "epoch": 2.11, + "grad_norm": 0.2717758119106293, + "learning_rate": 7.01646948452827e-05, + "loss": 0.8071, + "step": 17545 + }, + { + "epoch": 2.11, + "grad_norm": 0.26429474353790283, + "learning_rate": 7.007759542053324e-05, + "loss": 0.767, + "step": 17550 + }, + { + "epoch": 2.12, + "grad_norm": 0.3140299916267395, + "learning_rate": 6.999053360992155e-05, + "loss": 0.7958, + "step": 17555 + }, + { + "epoch": 2.12, + "grad_norm": 0.2404472976922989, + "learning_rate": 6.990350945442173e-05, + "loss": 0.8426, + "step": 17560 + }, + { + "epoch": 2.12, + "grad_norm": 0.2709415555000305, + "learning_rate": 6.981652299499032e-05, + "loss": 0.7802, + "step": 17565 + }, + { + "epoch": 2.12, + "grad_norm": 0.2728278338909149, + "learning_rate": 6.972957427256594e-05, + "loss": 0.7786, + "step": 17570 + }, + { + "epoch": 2.12, + "grad_norm": 0.27763307094573975, + "learning_rate": 6.964266332806966e-05, + "loss": 0.735, + "step": 17575 + }, + { + "epoch": 2.12, + "grad_norm": 0.27662762999534607, + "learning_rate": 6.955579020240459e-05, + "loss": 0.8434, + "step": 17580 + }, + { + "epoch": 2.12, + "grad_norm": 0.26812487840652466, + "learning_rate": 6.946895493645613e-05, + "loss": 0.7325, + "step": 17585 + }, + { + "epoch": 2.12, + "grad_norm": 0.27408894896507263, + "learning_rate": 6.938215757109176e-05, + "loss": 0.9187, + "step": 17590 + }, + { + "epoch": 2.12, + "grad_norm": 0.27132144570350647, + "learning_rate": 6.929539814716136e-05, + "loss": 0.7242, + "step": 17595 + }, + { + "epoch": 2.12, + "grad_norm": 0.3133727014064789, + "learning_rate": 6.920867670549668e-05, + "loss": 0.8118, + "step": 17600 + }, + { + "epoch": 2.12, + "grad_norm": 0.2706137001514435, + "learning_rate": 6.912199328691175e-05, + "loss": 0.7838, + "step": 17605 + }, + { + "epoch": 2.12, + "grad_norm": 0.26105305552482605, + "learning_rate": 6.90353479322026e-05, + "loss": 0.821, + "step": 17610 + }, + { + "epoch": 2.12, + "grad_norm": 0.26275086402893066, + "learning_rate": 6.894874068214751e-05, + "loss": 0.8778, + "step": 17615 + }, + { + "epoch": 2.12, + "grad_norm": 0.28266021609306335, + "learning_rate": 6.88621715775067e-05, + "loss": 0.91, + "step": 17620 + }, + { + "epoch": 2.12, + "grad_norm": 0.2602560520172119, + "learning_rate": 6.877564065902245e-05, + "loss": 0.8879, + "step": 17625 + }, + { + "epoch": 2.12, + "grad_norm": 0.2614297568798065, + "learning_rate": 6.868914796741907e-05, + "loss": 0.7482, + "step": 17630 + }, + { + "epoch": 2.12, + "grad_norm": 0.2839134633541107, + "learning_rate": 6.860269354340292e-05, + "loss": 0.7748, + "step": 17635 + }, + { + "epoch": 2.13, + "grad_norm": 0.2632676064968109, + "learning_rate": 6.85162774276623e-05, + "loss": 0.8696, + "step": 17640 + }, + { + "epoch": 2.13, + "grad_norm": 0.24448035657405853, + "learning_rate": 6.842989966086751e-05, + "loss": 0.7791, + "step": 17645 + }, + { + "epoch": 2.13, + "grad_norm": 0.289100706577301, + "learning_rate": 6.834356028367076e-05, + "loss": 0.7354, + "step": 17650 + }, + { + "epoch": 2.13, + "grad_norm": 0.27051296830177307, + "learning_rate": 6.82572593367063e-05, + "loss": 0.9232, + "step": 17655 + }, + { + "epoch": 2.13, + "grad_norm": 0.25651922821998596, + "learning_rate": 6.81709968605902e-05, + "loss": 0.8086, + "step": 17660 + }, + { + "epoch": 2.13, + "grad_norm": 0.24785958230495453, + "learning_rate": 6.808477289592045e-05, + "loss": 0.7559, + "step": 17665 + }, + { + "epoch": 2.13, + "grad_norm": 0.25814223289489746, + "learning_rate": 6.799858748327681e-05, + "loss": 0.8003, + "step": 17670 + }, + { + "epoch": 2.13, + "grad_norm": 0.2958534061908722, + "learning_rate": 6.791244066322115e-05, + "loss": 0.8522, + "step": 17675 + }, + { + "epoch": 2.13, + "grad_norm": 0.27761539816856384, + "learning_rate": 6.782633247629697e-05, + "loss": 0.8069, + "step": 17680 + }, + { + "epoch": 2.13, + "grad_norm": 0.33598434925079346, + "learning_rate": 6.774026296302963e-05, + "loss": 0.7955, + "step": 17685 + }, + { + "epoch": 2.13, + "grad_norm": 0.26065829396247864, + "learning_rate": 6.765423216392623e-05, + "loss": 0.751, + "step": 17690 + }, + { + "epoch": 2.13, + "grad_norm": 0.2681087553501129, + "learning_rate": 6.756824011947586e-05, + "loss": 0.7626, + "step": 17695 + }, + { + "epoch": 2.13, + "grad_norm": 0.27821341156959534, + "learning_rate": 6.748228687014915e-05, + "loss": 0.6555, + "step": 17700 + }, + { + "epoch": 2.13, + "grad_norm": 0.2935525178909302, + "learning_rate": 6.739637245639858e-05, + "loss": 0.8103, + "step": 17705 + }, + { + "epoch": 2.13, + "grad_norm": 0.29609110951423645, + "learning_rate": 6.73104969186583e-05, + "loss": 0.8574, + "step": 17710 + }, + { + "epoch": 2.13, + "grad_norm": 0.30124762654304504, + "learning_rate": 6.722466029734422e-05, + "loss": 0.865, + "step": 17715 + }, + { + "epoch": 2.14, + "grad_norm": 0.26538020372390747, + "learning_rate": 6.713886263285388e-05, + "loss": 0.7681, + "step": 17720 + }, + { + "epoch": 2.14, + "grad_norm": 0.26841890811920166, + "learning_rate": 6.705310396556651e-05, + "loss": 0.7141, + "step": 17725 + }, + { + "epoch": 2.14, + "grad_norm": 0.2693963050842285, + "learning_rate": 6.696738433584295e-05, + "loss": 0.7318, + "step": 17730 + }, + { + "epoch": 2.14, + "grad_norm": 0.3165275752544403, + "learning_rate": 6.688170378402581e-05, + "loss": 0.7613, + "step": 17735 + }, + { + "epoch": 2.14, + "grad_norm": 0.2781963050365448, + "learning_rate": 6.679606235043913e-05, + "loss": 0.7928, + "step": 17740 + }, + { + "epoch": 2.14, + "grad_norm": 0.2980717122554779, + "learning_rate": 6.671046007538862e-05, + "loss": 0.7451, + "step": 17745 + }, + { + "epoch": 2.14, + "grad_norm": 0.26822733879089355, + "learning_rate": 6.662489699916153e-05, + "loss": 0.8043, + "step": 17750 + }, + { + "epoch": 2.14, + "grad_norm": 0.2781360447406769, + "learning_rate": 6.653937316202675e-05, + "loss": 0.8289, + "step": 17755 + }, + { + "epoch": 2.14, + "grad_norm": 0.28398361802101135, + "learning_rate": 6.64538886042346e-05, + "loss": 0.7195, + "step": 17760 + }, + { + "epoch": 2.14, + "grad_norm": 0.28372859954833984, + "learning_rate": 6.636844336601695e-05, + "loss": 0.8084, + "step": 17765 + }, + { + "epoch": 2.14, + "grad_norm": 0.2855859696865082, + "learning_rate": 6.628303748758719e-05, + "loss": 0.7861, + "step": 17770 + }, + { + "epoch": 2.14, + "grad_norm": 0.2785280644893646, + "learning_rate": 6.619767100914013e-05, + "loss": 0.8347, + "step": 17775 + }, + { + "epoch": 2.14, + "grad_norm": 0.2754531800746918, + "learning_rate": 6.611234397085207e-05, + "loss": 0.8999, + "step": 17780 + }, + { + "epoch": 2.14, + "grad_norm": 0.2457299828529358, + "learning_rate": 6.602705641288078e-05, + "loss": 0.6812, + "step": 17785 + }, + { + "epoch": 2.14, + "grad_norm": 0.2855609357357025, + "learning_rate": 6.594180837536533e-05, + "loss": 0.7006, + "step": 17790 + }, + { + "epoch": 2.14, + "grad_norm": 0.23807214200496674, + "learning_rate": 6.585659989842641e-05, + "loss": 0.7315, + "step": 17795 + }, + { + "epoch": 2.14, + "grad_norm": 0.2731025815010071, + "learning_rate": 6.57714310221659e-05, + "loss": 0.8854, + "step": 17800 + }, + { + "epoch": 2.15, + "grad_norm": 0.2559722363948822, + "learning_rate": 6.568630178666706e-05, + "loss": 0.7751, + "step": 17805 + }, + { + "epoch": 2.15, + "grad_norm": 0.28620442748069763, + "learning_rate": 6.560121223199455e-05, + "loss": 0.85, + "step": 17810 + }, + { + "epoch": 2.15, + "grad_norm": 0.2663728892803192, + "learning_rate": 6.551616239819441e-05, + "loss": 0.9119, + "step": 17815 + }, + { + "epoch": 2.15, + "grad_norm": 0.2895793318748474, + "learning_rate": 6.543115232529386e-05, + "loss": 0.8386, + "step": 17820 + }, + { + "epoch": 2.15, + "grad_norm": 0.25901633501052856, + "learning_rate": 6.534618205330146e-05, + "loss": 0.8167, + "step": 17825 + }, + { + "epoch": 2.15, + "grad_norm": 0.2944163382053375, + "learning_rate": 6.526125162220702e-05, + "loss": 0.8255, + "step": 17830 + }, + { + "epoch": 2.15, + "grad_norm": 0.27901577949523926, + "learning_rate": 6.51763610719817e-05, + "loss": 0.7202, + "step": 17835 + }, + { + "epoch": 2.15, + "grad_norm": 0.25898268818855286, + "learning_rate": 6.509151044257776e-05, + "loss": 0.7927, + "step": 17840 + }, + { + "epoch": 2.15, + "grad_norm": 0.27605336904525757, + "learning_rate": 6.500669977392874e-05, + "loss": 0.9295, + "step": 17845 + }, + { + "epoch": 2.15, + "grad_norm": 0.3069280683994293, + "learning_rate": 6.492192910594933e-05, + "loss": 0.8324, + "step": 17850 + }, + { + "epoch": 2.15, + "grad_norm": 0.2427961677312851, + "learning_rate": 6.483719847853545e-05, + "loss": 0.8261, + "step": 17855 + }, + { + "epoch": 2.15, + "grad_norm": 0.31651127338409424, + "learning_rate": 6.475250793156412e-05, + "loss": 0.7048, + "step": 17860 + }, + { + "epoch": 2.15, + "grad_norm": 0.3037257492542267, + "learning_rate": 6.466785750489357e-05, + "loss": 0.7998, + "step": 17865 + }, + { + "epoch": 2.15, + "grad_norm": 0.29183289408683777, + "learning_rate": 6.458324723836299e-05, + "loss": 0.7498, + "step": 17870 + }, + { + "epoch": 2.15, + "grad_norm": 0.264967679977417, + "learning_rate": 6.449867717179293e-05, + "loss": 0.844, + "step": 17875 + }, + { + "epoch": 2.15, + "grad_norm": 0.319900780916214, + "learning_rate": 6.44141473449848e-05, + "loss": 0.7544, + "step": 17880 + }, + { + "epoch": 2.15, + "grad_norm": 0.2805964946746826, + "learning_rate": 6.432965779772115e-05, + "loss": 0.8429, + "step": 17885 + }, + { + "epoch": 2.16, + "grad_norm": 0.24578483402729034, + "learning_rate": 6.424520856976551e-05, + "loss": 0.7295, + "step": 17890 + }, + { + "epoch": 2.16, + "grad_norm": 0.27586978673934937, + "learning_rate": 6.416079970086259e-05, + "loss": 0.9162, + "step": 17895 + }, + { + "epoch": 2.16, + "grad_norm": 0.2891899347305298, + "learning_rate": 6.407643123073797e-05, + "loss": 0.7682, + "step": 17900 + }, + { + "epoch": 2.16, + "grad_norm": 0.26478612422943115, + "learning_rate": 6.399210319909824e-05, + "loss": 0.8028, + "step": 17905 + }, + { + "epoch": 2.16, + "grad_norm": 0.26194480061531067, + "learning_rate": 6.390781564563093e-05, + "loss": 0.8431, + "step": 17910 + }, + { + "epoch": 2.16, + "grad_norm": 0.2496415376663208, + "learning_rate": 6.382356861000466e-05, + "loss": 0.8244, + "step": 17915 + }, + { + "epoch": 2.16, + "grad_norm": 0.2828780710697174, + "learning_rate": 6.373936213186884e-05, + "loss": 0.8356, + "step": 17920 + }, + { + "epoch": 2.16, + "grad_norm": 0.3063983917236328, + "learning_rate": 6.365519625085388e-05, + "loss": 0.9442, + "step": 17925 + }, + { + "epoch": 2.16, + "grad_norm": 0.2884746491909027, + "learning_rate": 6.357107100657088e-05, + "loss": 0.7947, + "step": 17930 + }, + { + "epoch": 2.16, + "grad_norm": 0.2872295379638672, + "learning_rate": 6.348698643861213e-05, + "loss": 0.8708, + "step": 17935 + }, + { + "epoch": 2.16, + "grad_norm": 0.2698356509208679, + "learning_rate": 6.340294258655056e-05, + "loss": 0.7472, + "step": 17940 + }, + { + "epoch": 2.16, + "grad_norm": 0.2601388394832611, + "learning_rate": 6.331893948994003e-05, + "loss": 0.7562, + "step": 17945 + }, + { + "epoch": 2.16, + "grad_norm": 0.27124738693237305, + "learning_rate": 6.32349771883151e-05, + "loss": 0.8861, + "step": 17950 + }, + { + "epoch": 2.16, + "grad_norm": 0.2834950089454651, + "learning_rate": 6.315105572119134e-05, + "loss": 0.8054, + "step": 17955 + }, + { + "epoch": 2.16, + "grad_norm": 0.26736146211624146, + "learning_rate": 6.306717512806492e-05, + "loss": 0.8403, + "step": 17960 + }, + { + "epoch": 2.16, + "grad_norm": 0.2949734330177307, + "learning_rate": 6.298333544841284e-05, + "loss": 0.788, + "step": 17965 + }, + { + "epoch": 2.17, + "grad_norm": 0.2661183178424835, + "learning_rate": 6.289953672169276e-05, + "loss": 0.7755, + "step": 17970 + }, + { + "epoch": 2.17, + "grad_norm": 0.23854653537273407, + "learning_rate": 6.281577898734329e-05, + "loss": 0.7737, + "step": 17975 + }, + { + "epoch": 2.17, + "grad_norm": 0.27708199620246887, + "learning_rate": 6.273206228478351e-05, + "loss": 0.7334, + "step": 17980 + }, + { + "epoch": 2.17, + "grad_norm": 0.25264453887939453, + "learning_rate": 6.264838665341331e-05, + "loss": 0.796, + "step": 17985 + }, + { + "epoch": 2.17, + "grad_norm": 0.2900809645652771, + "learning_rate": 6.25647521326132e-05, + "loss": 0.78, + "step": 17990 + }, + { + "epoch": 2.17, + "grad_norm": 0.24564304947853088, + "learning_rate": 6.248115876174438e-05, + "loss": 0.7526, + "step": 17995 + }, + { + "epoch": 2.17, + "grad_norm": 0.29007548093795776, + "learning_rate": 6.239760658014865e-05, + "loss": 0.8331, + "step": 18000 + }, + { + "epoch": 2.17, + "grad_norm": 0.2651544213294983, + "learning_rate": 6.231409562714845e-05, + "loss": 0.7203, + "step": 18005 + }, + { + "epoch": 2.17, + "grad_norm": 0.28148752450942993, + "learning_rate": 6.223062594204676e-05, + "loss": 0.7299, + "step": 18010 + }, + { + "epoch": 2.17, + "grad_norm": 0.2735466957092285, + "learning_rate": 6.214719756412729e-05, + "loss": 0.6825, + "step": 18015 + }, + { + "epoch": 2.17, + "grad_norm": 0.2654740810394287, + "learning_rate": 6.206381053265412e-05, + "loss": 0.8268, + "step": 18020 + }, + { + "epoch": 2.17, + "grad_norm": 0.264364093542099, + "learning_rate": 6.198046488687201e-05, + "loss": 0.7943, + "step": 18025 + }, + { + "epoch": 2.17, + "grad_norm": 0.2690427601337433, + "learning_rate": 6.18971606660061e-05, + "loss": 0.7951, + "step": 18030 + }, + { + "epoch": 2.17, + "grad_norm": 0.3025277853012085, + "learning_rate": 6.181389790926224e-05, + "loss": 0.7487, + "step": 18035 + }, + { + "epoch": 2.17, + "grad_norm": 0.2653854489326477, + "learning_rate": 6.173067665582659e-05, + "loss": 0.8685, + "step": 18040 + }, + { + "epoch": 2.17, + "grad_norm": 0.2819320559501648, + "learning_rate": 6.164749694486579e-05, + "loss": 0.769, + "step": 18045 + }, + { + "epoch": 2.17, + "grad_norm": 0.28492966294288635, + "learning_rate": 6.156435881552708e-05, + "loss": 0.821, + "step": 18050 + }, + { + "epoch": 2.18, + "grad_norm": 0.24990375339984894, + "learning_rate": 6.148126230693796e-05, + "loss": 0.9141, + "step": 18055 + }, + { + "epoch": 2.18, + "grad_norm": 0.2689098119735718, + "learning_rate": 6.139820745820643e-05, + "loss": 0.7734, + "step": 18060 + }, + { + "epoch": 2.18, + "grad_norm": 0.2601291239261627, + "learning_rate": 6.131519430842083e-05, + "loss": 0.7885, + "step": 18065 + }, + { + "epoch": 2.18, + "grad_norm": 0.26659342646598816, + "learning_rate": 6.123222289664993e-05, + "loss": 0.8574, + "step": 18070 + }, + { + "epoch": 2.18, + "grad_norm": 0.260973185300827, + "learning_rate": 6.114929326194281e-05, + "loss": 0.7629, + "step": 18075 + }, + { + "epoch": 2.18, + "grad_norm": 0.2958158850669861, + "learning_rate": 6.106640544332894e-05, + "loss": 0.8406, + "step": 18080 + }, + { + "epoch": 2.18, + "grad_norm": 0.27698177099227905, + "learning_rate": 6.0983559479817986e-05, + "loss": 0.7944, + "step": 18085 + }, + { + "epoch": 2.18, + "grad_norm": 0.26226866245269775, + "learning_rate": 6.090075541040015e-05, + "loss": 0.761, + "step": 18090 + }, + { + "epoch": 2.18, + "grad_norm": 0.28929901123046875, + "learning_rate": 6.08179932740457e-05, + "loss": 0.7879, + "step": 18095 + }, + { + "epoch": 2.18, + "grad_norm": 0.2864818871021271, + "learning_rate": 6.073527310970527e-05, + "loss": 0.7526, + "step": 18100 + }, + { + "epoch": 2.18, + "grad_norm": 0.28640732169151306, + "learning_rate": 6.065259495630966e-05, + "loss": 0.7588, + "step": 18105 + }, + { + "epoch": 2.18, + "grad_norm": 0.25879958271980286, + "learning_rate": 6.0569958852770026e-05, + "loss": 0.8613, + "step": 18110 + }, + { + "epoch": 2.18, + "grad_norm": 0.26180025935173035, + "learning_rate": 6.048736483797765e-05, + "loss": 0.7988, + "step": 18115 + }, + { + "epoch": 2.18, + "grad_norm": 0.28200724720954895, + "learning_rate": 6.040481295080402e-05, + "loss": 0.7577, + "step": 18120 + }, + { + "epoch": 2.18, + "grad_norm": 0.27897992730140686, + "learning_rate": 6.0322303230100706e-05, + "loss": 0.7339, + "step": 18125 + }, + { + "epoch": 2.18, + "grad_norm": 0.2738398313522339, + "learning_rate": 6.0239835714699656e-05, + "loss": 0.7929, + "step": 18130 + }, + { + "epoch": 2.19, + "grad_norm": 0.2769078016281128, + "learning_rate": 6.015741044341282e-05, + "loss": 0.8469, + "step": 18135 + }, + { + "epoch": 2.19, + "grad_norm": 0.2504939138889313, + "learning_rate": 6.0075027455032154e-05, + "loss": 0.806, + "step": 18140 + }, + { + "epoch": 2.19, + "grad_norm": 0.27813395857810974, + "learning_rate": 5.999268678832982e-05, + "loss": 0.8322, + "step": 18145 + }, + { + "epoch": 2.19, + "grad_norm": 0.25341561436653137, + "learning_rate": 5.9910388482058196e-05, + "loss": 0.8823, + "step": 18150 + }, + { + "epoch": 2.19, + "grad_norm": 0.2485748827457428, + "learning_rate": 5.982813257494954e-05, + "loss": 0.7445, + "step": 18155 + }, + { + "epoch": 2.19, + "grad_norm": 0.2577187120914459, + "learning_rate": 5.9745919105716195e-05, + "loss": 0.7756, + "step": 18160 + }, + { + "epoch": 2.19, + "grad_norm": 0.28886187076568604, + "learning_rate": 5.966374811305051e-05, + "loss": 0.8127, + "step": 18165 + }, + { + "epoch": 2.19, + "grad_norm": 0.27744728326797485, + "learning_rate": 5.9581619635625014e-05, + "loss": 0.815, + "step": 18170 + }, + { + "epoch": 2.19, + "grad_norm": 0.2894884943962097, + "learning_rate": 5.9499533712092e-05, + "loss": 0.8005, + "step": 18175 + }, + { + "epoch": 2.19, + "grad_norm": 0.3021494448184967, + "learning_rate": 5.941749038108385e-05, + "loss": 0.8278, + "step": 18180 + }, + { + "epoch": 2.19, + "grad_norm": 0.2534330189228058, + "learning_rate": 5.9335489681212835e-05, + "loss": 0.8549, + "step": 18185 + }, + { + "epoch": 2.19, + "grad_norm": 0.3106016516685486, + "learning_rate": 5.92535316510713e-05, + "loss": 0.6661, + "step": 18190 + }, + { + "epoch": 2.19, + "grad_norm": 0.2976013422012329, + "learning_rate": 5.9171616329231364e-05, + "loss": 0.824, + "step": 18195 + }, + { + "epoch": 2.19, + "grad_norm": 0.2501593232154846, + "learning_rate": 5.90897437542451e-05, + "loss": 0.787, + "step": 18200 + }, + { + "epoch": 2.19, + "grad_norm": 0.28381872177124023, + "learning_rate": 5.900791396464445e-05, + "loss": 0.7354, + "step": 18205 + }, + { + "epoch": 2.19, + "grad_norm": 0.259772390127182, + "learning_rate": 5.892612699894127e-05, + "loss": 0.789, + "step": 18210 + }, + { + "epoch": 2.19, + "grad_norm": 0.24163563549518585, + "learning_rate": 5.884438289562717e-05, + "loss": 0.8713, + "step": 18215 + }, + { + "epoch": 2.2, + "grad_norm": 0.2834208011627197, + "learning_rate": 5.8762681693173675e-05, + "loss": 0.841, + "step": 18220 + }, + { + "epoch": 2.2, + "grad_norm": 0.2929078936576843, + "learning_rate": 5.868102343003201e-05, + "loss": 0.7945, + "step": 18225 + }, + { + "epoch": 2.2, + "grad_norm": 0.30455702543258667, + "learning_rate": 5.8599408144633405e-05, + "loss": 0.7069, + "step": 18230 + }, + { + "epoch": 2.2, + "grad_norm": 0.3452713191509247, + "learning_rate": 5.851783587538863e-05, + "loss": 0.8092, + "step": 18235 + }, + { + "epoch": 2.2, + "grad_norm": 0.26134809851646423, + "learning_rate": 5.843630666068832e-05, + "loss": 0.8087, + "step": 18240 + }, + { + "epoch": 2.2, + "grad_norm": 0.30902811884880066, + "learning_rate": 5.835482053890278e-05, + "loss": 0.8481, + "step": 18245 + }, + { + "epoch": 2.2, + "grad_norm": 0.31992846727371216, + "learning_rate": 5.827337754838218e-05, + "loss": 0.7905, + "step": 18250 + }, + { + "epoch": 2.2, + "grad_norm": 0.2618788182735443, + "learning_rate": 5.819197772745627e-05, + "loss": 0.7629, + "step": 18255 + }, + { + "epoch": 2.2, + "grad_norm": 0.28527355194091797, + "learning_rate": 5.811062111443447e-05, + "loss": 0.826, + "step": 18260 + }, + { + "epoch": 2.2, + "grad_norm": 0.31207770109176636, + "learning_rate": 5.8029307747605905e-05, + "loss": 0.7721, + "step": 18265 + }, + { + "epoch": 2.2, + "grad_norm": 0.250207781791687, + "learning_rate": 5.794803766523939e-05, + "loss": 0.7803, + "step": 18270 + }, + { + "epoch": 2.2, + "grad_norm": 0.29229018092155457, + "learning_rate": 5.786681090558332e-05, + "loss": 0.8023, + "step": 18275 + }, + { + "epoch": 2.2, + "grad_norm": 0.273379385471344, + "learning_rate": 5.778562750686568e-05, + "loss": 0.7844, + "step": 18280 + }, + { + "epoch": 2.2, + "grad_norm": 0.27281737327575684, + "learning_rate": 5.770448750729408e-05, + "loss": 0.8071, + "step": 18285 + }, + { + "epoch": 2.2, + "grad_norm": 0.2896445095539093, + "learning_rate": 5.762339094505569e-05, + "loss": 0.7641, + "step": 18290 + }, + { + "epoch": 2.2, + "grad_norm": 0.2542775571346283, + "learning_rate": 5.7542337858317257e-05, + "loss": 0.8674, + "step": 18295 + }, + { + "epoch": 2.2, + "grad_norm": 0.2890925705432892, + "learning_rate": 5.746132828522506e-05, + "loss": 0.7799, + "step": 18300 + }, + { + "epoch": 2.21, + "grad_norm": 0.303602397441864, + "learning_rate": 5.738036226390483e-05, + "loss": 0.7872, + "step": 18305 + }, + { + "epoch": 2.21, + "grad_norm": 0.31776705384254456, + "learning_rate": 5.729943983246198e-05, + "loss": 0.8462, + "step": 18310 + }, + { + "epoch": 2.21, + "grad_norm": 0.2585162818431854, + "learning_rate": 5.721856102898121e-05, + "loss": 0.8747, + "step": 18315 + }, + { + "epoch": 2.21, + "grad_norm": 0.2587442696094513, + "learning_rate": 5.713772589152682e-05, + "loss": 0.8068, + "step": 18320 + }, + { + "epoch": 2.21, + "grad_norm": 0.26109957695007324, + "learning_rate": 5.705693445814243e-05, + "loss": 0.7185, + "step": 18325 + }, + { + "epoch": 2.21, + "grad_norm": 0.27592533826828003, + "learning_rate": 5.697618676685127e-05, + "loss": 0.8076, + "step": 18330 + }, + { + "epoch": 2.21, + "grad_norm": 0.26613497734069824, + "learning_rate": 5.689548285565585e-05, + "loss": 0.803, + "step": 18335 + }, + { + "epoch": 2.21, + "grad_norm": 0.2756407558917999, + "learning_rate": 5.681482276253811e-05, + "loss": 0.836, + "step": 18340 + }, + { + "epoch": 2.21, + "grad_norm": 0.2865229845046997, + "learning_rate": 5.6734206525459355e-05, + "loss": 0.7962, + "step": 18345 + }, + { + "epoch": 2.21, + "grad_norm": 0.2565017342567444, + "learning_rate": 5.6653634182360267e-05, + "loss": 0.8133, + "step": 18350 + }, + { + "epoch": 2.21, + "grad_norm": 0.2665974497795105, + "learning_rate": 5.6573105771160875e-05, + "loss": 0.7833, + "step": 18355 + }, + { + "epoch": 2.21, + "grad_norm": 0.3112146556377411, + "learning_rate": 5.6492621329760524e-05, + "loss": 0.8103, + "step": 18360 + }, + { + "epoch": 2.21, + "grad_norm": 0.299140602350235, + "learning_rate": 5.641218089603779e-05, + "loss": 0.7744, + "step": 18365 + }, + { + "epoch": 2.21, + "grad_norm": 0.25373366475105286, + "learning_rate": 5.6331784507850744e-05, + "loss": 0.8986, + "step": 18370 + }, + { + "epoch": 2.21, + "grad_norm": 0.27519750595092773, + "learning_rate": 5.6251432203036544e-05, + "loss": 0.791, + "step": 18375 + }, + { + "epoch": 2.21, + "grad_norm": 0.253791481256485, + "learning_rate": 5.617112401941163e-05, + "loss": 0.7265, + "step": 18380 + }, + { + "epoch": 2.22, + "grad_norm": 0.26284411549568176, + "learning_rate": 5.609085999477166e-05, + "loss": 0.8349, + "step": 18385 + }, + { + "epoch": 2.22, + "grad_norm": 0.26994234323501587, + "learning_rate": 5.601064016689165e-05, + "loss": 0.7947, + "step": 18390 + }, + { + "epoch": 2.22, + "grad_norm": 0.3026762902736664, + "learning_rate": 5.593046457352568e-05, + "loss": 0.8011, + "step": 18395 + }, + { + "epoch": 2.22, + "grad_norm": 0.2768292725086212, + "learning_rate": 5.585033325240704e-05, + "loss": 0.7135, + "step": 18400 + }, + { + "epoch": 2.22, + "grad_norm": 0.28852131962776184, + "learning_rate": 5.5770246241248125e-05, + "loss": 0.8516, + "step": 18405 + }, + { + "epoch": 2.22, + "grad_norm": 0.28244367241859436, + "learning_rate": 5.5690203577740654e-05, + "loss": 0.7431, + "step": 18410 + }, + { + "epoch": 2.22, + "grad_norm": 0.2686423361301422, + "learning_rate": 5.561020529955531e-05, + "loss": 0.7382, + "step": 18415 + }, + { + "epoch": 2.22, + "grad_norm": 0.2730972170829773, + "learning_rate": 5.5530251444341936e-05, + "loss": 0.8299, + "step": 18420 + }, + { + "epoch": 2.22, + "grad_norm": 0.26289600133895874, + "learning_rate": 5.5450342049729475e-05, + "loss": 0.7141, + "step": 18425 + }, + { + "epoch": 2.22, + "grad_norm": 0.2697264552116394, + "learning_rate": 5.5370477153325945e-05, + "loss": 0.7229, + "step": 18430 + }, + { + "epoch": 2.22, + "grad_norm": 0.2662758231163025, + "learning_rate": 5.529065679271841e-05, + "loss": 0.8089, + "step": 18435 + }, + { + "epoch": 2.22, + "grad_norm": 0.2873300313949585, + "learning_rate": 5.5210881005473e-05, + "loss": 0.8195, + "step": 18440 + }, + { + "epoch": 2.22, + "grad_norm": 0.29123494029045105, + "learning_rate": 5.513114982913479e-05, + "loss": 0.8099, + "step": 18445 + }, + { + "epoch": 2.22, + "grad_norm": 0.2564477324485779, + "learning_rate": 5.5051463301228e-05, + "loss": 0.675, + "step": 18450 + }, + { + "epoch": 2.22, + "grad_norm": 0.29058778285980225, + "learning_rate": 5.497182145925575e-05, + "loss": 0.7853, + "step": 18455 + }, + { + "epoch": 2.22, + "grad_norm": 0.32175374031066895, + "learning_rate": 5.489222434070009e-05, + "loss": 0.8176, + "step": 18460 + }, + { + "epoch": 2.22, + "grad_norm": 0.291685551404953, + "learning_rate": 5.4812671983022046e-05, + "loss": 0.7884, + "step": 18465 + }, + { + "epoch": 2.23, + "grad_norm": 0.25728997588157654, + "learning_rate": 5.473316442366167e-05, + "loss": 0.824, + "step": 18470 + }, + { + "epoch": 2.23, + "grad_norm": 0.2623702883720398, + "learning_rate": 5.465370170003785e-05, + "loss": 0.8171, + "step": 18475 + }, + { + "epoch": 2.23, + "grad_norm": 0.24209091067314148, + "learning_rate": 5.4574283849548354e-05, + "loss": 0.8101, + "step": 18480 + }, + { + "epoch": 2.23, + "grad_norm": 0.2494385689496994, + "learning_rate": 5.449491090956982e-05, + "loss": 0.7616, + "step": 18485 + }, + { + "epoch": 2.23, + "grad_norm": 0.307625949382782, + "learning_rate": 5.44155829174579e-05, + "loss": 0.8873, + "step": 18490 + }, + { + "epoch": 2.23, + "grad_norm": 0.27069059014320374, + "learning_rate": 5.433629991054691e-05, + "loss": 0.8159, + "step": 18495 + }, + { + "epoch": 2.23, + "grad_norm": 0.2697925567626953, + "learning_rate": 5.425706192615007e-05, + "loss": 0.8165, + "step": 18500 + }, + { + "epoch": 2.23, + "grad_norm": 0.2592358887195587, + "learning_rate": 5.417786900155942e-05, + "loss": 0.7355, + "step": 18505 + }, + { + "epoch": 2.23, + "grad_norm": 0.28814736008644104, + "learning_rate": 5.409872117404577e-05, + "loss": 0.8358, + "step": 18510 + }, + { + "epoch": 2.23, + "grad_norm": 0.2974863350391388, + "learning_rate": 5.401961848085871e-05, + "loss": 0.7225, + "step": 18515 + }, + { + "epoch": 2.23, + "grad_norm": 0.28759467601776123, + "learning_rate": 5.394056095922662e-05, + "loss": 0.74, + "step": 18520 + }, + { + "epoch": 2.23, + "grad_norm": 0.3033956289291382, + "learning_rate": 5.3861548646356514e-05, + "loss": 0.7645, + "step": 18525 + }, + { + "epoch": 2.23, + "grad_norm": 0.2899126410484314, + "learning_rate": 5.3782581579434325e-05, + "loss": 0.7309, + "step": 18530 + }, + { + "epoch": 2.23, + "grad_norm": 0.2775956690311432, + "learning_rate": 5.370365979562453e-05, + "loss": 0.8238, + "step": 18535 + }, + { + "epoch": 2.23, + "grad_norm": 0.2776409983634949, + "learning_rate": 5.362478333207034e-05, + "loss": 0.84, + "step": 18540 + }, + { + "epoch": 2.23, + "grad_norm": 0.27701374888420105, + "learning_rate": 5.354595222589358e-05, + "loss": 0.7884, + "step": 18545 + }, + { + "epoch": 2.24, + "grad_norm": 0.3034186065196991, + "learning_rate": 5.34671665141949e-05, + "loss": 0.7565, + "step": 18550 + }, + { + "epoch": 2.24, + "grad_norm": 0.2622527480125427, + "learning_rate": 5.3388426234053414e-05, + "loss": 0.7612, + "step": 18555 + }, + { + "epoch": 2.24, + "grad_norm": 0.28101763129234314, + "learning_rate": 5.330973142252691e-05, + "loss": 0.7192, + "step": 18560 + }, + { + "epoch": 2.24, + "grad_norm": 0.2687520384788513, + "learning_rate": 5.323108211665178e-05, + "loss": 0.8082, + "step": 18565 + }, + { + "epoch": 2.24, + "grad_norm": 0.31704583764076233, + "learning_rate": 5.3152478353443006e-05, + "loss": 0.6957, + "step": 18570 + }, + { + "epoch": 2.24, + "grad_norm": 0.26655253767967224, + "learning_rate": 5.307392016989413e-05, + "loss": 0.8078, + "step": 18575 + }, + { + "epoch": 2.24, + "grad_norm": 0.27396515011787415, + "learning_rate": 5.299540760297717e-05, + "loss": 0.8209, + "step": 18580 + }, + { + "epoch": 2.24, + "grad_norm": 0.24590495228767395, + "learning_rate": 5.2916940689642887e-05, + "loss": 0.8348, + "step": 18585 + }, + { + "epoch": 2.24, + "grad_norm": 0.23811030387878418, + "learning_rate": 5.283851946682033e-05, + "loss": 0.771, + "step": 18590 + }, + { + "epoch": 2.24, + "grad_norm": 0.2999459505081177, + "learning_rate": 5.2760143971417155e-05, + "loss": 0.7364, + "step": 18595 + }, + { + "epoch": 2.24, + "grad_norm": 0.257988840341568, + "learning_rate": 5.2681814240319415e-05, + "loss": 0.7833, + "step": 18600 + }, + { + "epoch": 2.24, + "grad_norm": 0.27727702260017395, + "learning_rate": 5.260353031039177e-05, + "loss": 0.8248, + "step": 18605 + }, + { + "epoch": 2.24, + "grad_norm": 0.24502165615558624, + "learning_rate": 5.252529221847719e-05, + "loss": 0.7083, + "step": 18610 + }, + { + "epoch": 2.24, + "grad_norm": 0.2822337746620178, + "learning_rate": 5.244710000139714e-05, + "loss": 0.8521, + "step": 18615 + }, + { + "epoch": 2.24, + "grad_norm": 0.2731589674949646, + "learning_rate": 5.2368953695951405e-05, + "loss": 0.8219, + "step": 18620 + }, + { + "epoch": 2.24, + "grad_norm": 0.2679608464241028, + "learning_rate": 5.229085333891834e-05, + "loss": 0.73, + "step": 18625 + }, + { + "epoch": 2.24, + "grad_norm": 0.2607372999191284, + "learning_rate": 5.221279896705452e-05, + "loss": 0.7845, + "step": 18630 + }, + { + "epoch": 2.25, + "grad_norm": 0.2670726478099823, + "learning_rate": 5.213479061709492e-05, + "loss": 0.8545, + "step": 18635 + }, + { + "epoch": 2.25, + "grad_norm": 0.29974955320358276, + "learning_rate": 5.2056828325752855e-05, + "loss": 0.8346, + "step": 18640 + }, + { + "epoch": 2.25, + "grad_norm": 0.2804435193538666, + "learning_rate": 5.1978912129719956e-05, + "loss": 0.7781, + "step": 18645 + }, + { + "epoch": 2.25, + "grad_norm": 0.27671873569488525, + "learning_rate": 5.1901042065666214e-05, + "loss": 0.8077, + "step": 18650 + }, + { + "epoch": 2.25, + "grad_norm": 0.28457868099212646, + "learning_rate": 5.182321817023983e-05, + "loss": 0.8014, + "step": 18655 + }, + { + "epoch": 2.25, + "grad_norm": 0.2779267728328705, + "learning_rate": 5.174544048006726e-05, + "loss": 0.8311, + "step": 18660 + }, + { + "epoch": 2.25, + "grad_norm": 0.26867663860321045, + "learning_rate": 5.1667709031753406e-05, + "loss": 0.7116, + "step": 18665 + }, + { + "epoch": 2.25, + "grad_norm": 0.27532848715782166, + "learning_rate": 5.159002386188118e-05, + "loss": 0.9608, + "step": 18670 + }, + { + "epoch": 2.25, + "grad_norm": 0.2576589286327362, + "learning_rate": 5.151238500701184e-05, + "loss": 0.7806, + "step": 18675 + }, + { + "epoch": 2.25, + "grad_norm": 0.29367679357528687, + "learning_rate": 5.1434792503684716e-05, + "loss": 0.7674, + "step": 18680 + }, + { + "epoch": 2.25, + "grad_norm": 0.2842334806919098, + "learning_rate": 5.135724638841755e-05, + "loss": 0.7849, + "step": 18685 + }, + { + "epoch": 2.25, + "grad_norm": 0.305401474237442, + "learning_rate": 5.1279746697706055e-05, + "loss": 0.7973, + "step": 18690 + }, + { + "epoch": 2.25, + "grad_norm": 0.2906571328639984, + "learning_rate": 5.120229346802416e-05, + "loss": 0.808, + "step": 18695 + }, + { + "epoch": 2.25, + "grad_norm": 0.2675495445728302, + "learning_rate": 5.112488673582389e-05, + "loss": 0.7582, + "step": 18700 + }, + { + "epoch": 2.25, + "grad_norm": 0.2715294063091278, + "learning_rate": 5.1047526537535504e-05, + "loss": 0.779, + "step": 18705 + }, + { + "epoch": 2.25, + "grad_norm": 0.29356223344802856, + "learning_rate": 5.0970212909567236e-05, + "loss": 0.8705, + "step": 18710 + }, + { + "epoch": 2.25, + "grad_norm": 0.2562316656112671, + "learning_rate": 5.0892945888305446e-05, + "loss": 0.7458, + "step": 18715 + }, + { + "epoch": 2.26, + "grad_norm": 0.31263595819473267, + "learning_rate": 5.081572551011458e-05, + "loss": 0.8115, + "step": 18720 + }, + { + "epoch": 2.26, + "grad_norm": 0.31803205609321594, + "learning_rate": 5.07385518113371e-05, + "loss": 0.7623, + "step": 18725 + }, + { + "epoch": 2.26, + "grad_norm": 0.25509113073349, + "learning_rate": 5.06614248282935e-05, + "loss": 0.8839, + "step": 18730 + }, + { + "epoch": 2.26, + "grad_norm": 0.2617010474205017, + "learning_rate": 5.058434459728229e-05, + "loss": 0.7858, + "step": 18735 + }, + { + "epoch": 2.26, + "grad_norm": 0.29557377099990845, + "learning_rate": 5.0507311154579976e-05, + "loss": 0.8331, + "step": 18740 + }, + { + "epoch": 2.26, + "grad_norm": 0.28714311122894287, + "learning_rate": 5.043032453644113e-05, + "loss": 0.7831, + "step": 18745 + }, + { + "epoch": 2.26, + "grad_norm": 0.27089929580688477, + "learning_rate": 5.035338477909817e-05, + "loss": 0.8846, + "step": 18750 + }, + { + "epoch": 2.26, + "grad_norm": 0.2682959735393524, + "learning_rate": 5.027649191876147e-05, + "loss": 0.7482, + "step": 18755 + }, + { + "epoch": 2.26, + "grad_norm": 0.26213210821151733, + "learning_rate": 5.019964599161935e-05, + "loss": 0.7949, + "step": 18760 + }, + { + "epoch": 2.26, + "grad_norm": 0.30847010016441345, + "learning_rate": 5.0122847033838156e-05, + "loss": 0.7751, + "step": 18765 + }, + { + "epoch": 2.26, + "grad_norm": 0.25752073526382446, + "learning_rate": 5.004609508156196e-05, + "loss": 0.8719, + "step": 18770 + }, + { + "epoch": 2.26, + "grad_norm": 0.2857056260108948, + "learning_rate": 4.996939017091278e-05, + "loss": 0.7445, + "step": 18775 + }, + { + "epoch": 2.26, + "grad_norm": 0.2874182164669037, + "learning_rate": 4.989273233799051e-05, + "loss": 0.7717, + "step": 18780 + }, + { + "epoch": 2.26, + "grad_norm": 0.34927722811698914, + "learning_rate": 4.981612161887285e-05, + "loss": 0.7717, + "step": 18785 + }, + { + "epoch": 2.26, + "grad_norm": 0.2875741422176361, + "learning_rate": 4.973955804961536e-05, + "loss": 0.8041, + "step": 18790 + }, + { + "epoch": 2.26, + "grad_norm": 0.24138030409812927, + "learning_rate": 4.966304166625139e-05, + "loss": 0.8356, + "step": 18795 + }, + { + "epoch": 2.27, + "grad_norm": 0.28111588954925537, + "learning_rate": 4.958657250479208e-05, + "loss": 0.7551, + "step": 18800 + }, + { + "epoch": 2.27, + "grad_norm": 0.2540626525878906, + "learning_rate": 4.9510150601226394e-05, + "loss": 0.777, + "step": 18805 + }, + { + "epoch": 2.27, + "grad_norm": 0.26399436593055725, + "learning_rate": 4.9433775991521006e-05, + "loss": 0.8436, + "step": 18810 + }, + { + "epoch": 2.27, + "grad_norm": 0.27439209818840027, + "learning_rate": 4.9357448711620345e-05, + "loss": 0.7735, + "step": 18815 + }, + { + "epoch": 2.27, + "grad_norm": 0.2720988988876343, + "learning_rate": 4.9281168797446504e-05, + "loss": 0.8395, + "step": 18820 + }, + { + "epoch": 2.27, + "grad_norm": 0.30142033100128174, + "learning_rate": 4.920493628489946e-05, + "loss": 0.865, + "step": 18825 + }, + { + "epoch": 2.27, + "grad_norm": 0.27852845191955566, + "learning_rate": 4.9128751209856684e-05, + "loss": 0.8549, + "step": 18830 + }, + { + "epoch": 2.27, + "grad_norm": 0.2861536741256714, + "learning_rate": 4.9052613608173425e-05, + "loss": 0.77, + "step": 18835 + }, + { + "epoch": 2.27, + "grad_norm": 0.26632633805274963, + "learning_rate": 4.8976523515682505e-05, + "loss": 0.8792, + "step": 18840 + }, + { + "epoch": 2.27, + "grad_norm": 0.25601017475128174, + "learning_rate": 4.890048096819456e-05, + "loss": 0.6669, + "step": 18845 + }, + { + "epoch": 2.27, + "grad_norm": 0.29297733306884766, + "learning_rate": 4.882448600149767e-05, + "loss": 0.8335, + "step": 18850 + }, + { + "epoch": 2.27, + "grad_norm": 0.27074167132377625, + "learning_rate": 4.874853865135761e-05, + "loss": 0.7719, + "step": 18855 + }, + { + "epoch": 2.27, + "grad_norm": 0.2736327648162842, + "learning_rate": 4.8672638953517724e-05, + "loss": 0.7569, + "step": 18860 + }, + { + "epoch": 2.27, + "grad_norm": 0.2467767298221588, + "learning_rate": 4.859678694369892e-05, + "loss": 0.8277, + "step": 18865 + }, + { + "epoch": 2.27, + "grad_norm": 0.26508867740631104, + "learning_rate": 4.852098265759969e-05, + "loss": 0.7552, + "step": 18870 + }, + { + "epoch": 2.27, + "grad_norm": 0.295194149017334, + "learning_rate": 4.844522613089601e-05, + "loss": 0.7934, + "step": 18875 + }, + { + "epoch": 2.27, + "grad_norm": 0.2907750606536865, + "learning_rate": 4.836951739924141e-05, + "loss": 0.8823, + "step": 18880 + }, + { + "epoch": 2.28, + "grad_norm": 0.252069890499115, + "learning_rate": 4.829385649826702e-05, + "loss": 0.8101, + "step": 18885 + }, + { + "epoch": 2.28, + "grad_norm": 0.263295978307724, + "learning_rate": 4.82182434635813e-05, + "loss": 0.8344, + "step": 18890 + }, + { + "epoch": 2.28, + "grad_norm": 0.3141554892063141, + "learning_rate": 4.814267833077029e-05, + "loss": 0.8552, + "step": 18895 + }, + { + "epoch": 2.28, + "grad_norm": 0.2977995276451111, + "learning_rate": 4.806716113539737e-05, + "loss": 0.7844, + "step": 18900 + }, + { + "epoch": 2.28, + "grad_norm": 0.28713858127593994, + "learning_rate": 4.799169191300357e-05, + "loss": 0.7359, + "step": 18905 + }, + { + "epoch": 2.28, + "grad_norm": 0.265524297952652, + "learning_rate": 4.791627069910713e-05, + "loss": 0.7948, + "step": 18910 + }, + { + "epoch": 2.28, + "grad_norm": 0.26660722494125366, + "learning_rate": 4.784089752920381e-05, + "loss": 0.7537, + "step": 18915 + }, + { + "epoch": 2.28, + "grad_norm": 0.3201920688152313, + "learning_rate": 4.776557243876665e-05, + "loss": 0.6509, + "step": 18920 + }, + { + "epoch": 2.28, + "grad_norm": 0.25317713618278503, + "learning_rate": 4.7690295463246255e-05, + "loss": 0.8217, + "step": 18925 + }, + { + "epoch": 2.28, + "grad_norm": 0.2925649881362915, + "learning_rate": 4.761506663807047e-05, + "loss": 0.8093, + "step": 18930 + }, + { + "epoch": 2.28, + "grad_norm": 0.26825374364852905, + "learning_rate": 4.7539885998644365e-05, + "loss": 0.7968, + "step": 18935 + }, + { + "epoch": 2.28, + "grad_norm": 0.2798418402671814, + "learning_rate": 4.746475358035046e-05, + "loss": 0.8392, + "step": 18940 + }, + { + "epoch": 2.28, + "grad_norm": 0.25741979479789734, + "learning_rate": 4.738966941854866e-05, + "loss": 0.7922, + "step": 18945 + }, + { + "epoch": 2.28, + "grad_norm": 0.27443379163742065, + "learning_rate": 4.731463354857602e-05, + "loss": 0.8369, + "step": 18950 + }, + { + "epoch": 2.28, + "grad_norm": 0.2702893316745758, + "learning_rate": 4.7239646005746895e-05, + "loss": 0.7611, + "step": 18955 + }, + { + "epoch": 2.28, + "grad_norm": 0.38152143359184265, + "learning_rate": 4.716470682535289e-05, + "loss": 0.8706, + "step": 18960 + }, + { + "epoch": 2.29, + "grad_norm": 0.26766619086265564, + "learning_rate": 4.708981604266296e-05, + "loss": 0.8218, + "step": 18965 + }, + { + "epoch": 2.29, + "grad_norm": 0.25141772627830505, + "learning_rate": 4.701497369292313e-05, + "loss": 0.8075, + "step": 18970 + }, + { + "epoch": 2.29, + "grad_norm": 0.264624685049057, + "learning_rate": 4.694017981135671e-05, + "loss": 0.7692, + "step": 18975 + }, + { + "epoch": 2.29, + "grad_norm": 0.2943498194217682, + "learning_rate": 4.6865434433164125e-05, + "loss": 0.7622, + "step": 18980 + }, + { + "epoch": 2.29, + "grad_norm": 0.26615047454833984, + "learning_rate": 4.679073759352315e-05, + "loss": 0.7964, + "step": 18985 + }, + { + "epoch": 2.29, + "grad_norm": 0.24245823919773102, + "learning_rate": 4.671608932758853e-05, + "loss": 0.7825, + "step": 18990 + }, + { + "epoch": 2.29, + "grad_norm": 0.2933671772480011, + "learning_rate": 4.664148967049221e-05, + "loss": 0.8122, + "step": 18995 + }, + { + "epoch": 2.29, + "grad_norm": 0.2749022841453552, + "learning_rate": 4.656693865734331e-05, + "loss": 0.7729, + "step": 19000 + }, + { + "epoch": 2.29, + "grad_norm": 0.268289178609848, + "learning_rate": 4.649243632322796e-05, + "loss": 0.793, + "step": 19005 + }, + { + "epoch": 2.29, + "grad_norm": 0.28177735209465027, + "learning_rate": 4.641798270320948e-05, + "loss": 0.8523, + "step": 19010 + }, + { + "epoch": 2.29, + "grad_norm": 0.262329638004303, + "learning_rate": 4.6343577832328176e-05, + "loss": 0.8208, + "step": 19015 + }, + { + "epoch": 2.29, + "grad_norm": 0.31374141573905945, + "learning_rate": 4.626922174560142e-05, + "loss": 0.8154, + "step": 19020 + }, + { + "epoch": 2.29, + "grad_norm": 0.28644031286239624, + "learning_rate": 4.6194914478023754e-05, + "loss": 0.8359, + "step": 19025 + }, + { + "epoch": 2.29, + "grad_norm": 0.2689576745033264, + "learning_rate": 4.6120656064566604e-05, + "loss": 0.9421, + "step": 19030 + }, + { + "epoch": 2.29, + "grad_norm": 0.25812458992004395, + "learning_rate": 4.604644654017843e-05, + "loss": 0.8141, + "step": 19035 + }, + { + "epoch": 2.29, + "grad_norm": 0.2505223751068115, + "learning_rate": 4.597228593978464e-05, + "loss": 0.8084, + "step": 19040 + }, + { + "epoch": 2.29, + "grad_norm": 0.2971956431865692, + "learning_rate": 4.589817429828781e-05, + "loss": 0.7819, + "step": 19045 + }, + { + "epoch": 2.3, + "grad_norm": 0.274215430021286, + "learning_rate": 4.5824111650567264e-05, + "loss": 0.7431, + "step": 19050 + }, + { + "epoch": 2.3, + "grad_norm": 0.2821873724460602, + "learning_rate": 4.575009803147929e-05, + "loss": 0.8117, + "step": 19055 + }, + { + "epoch": 2.3, + "grad_norm": 0.2926546037197113, + "learning_rate": 4.567613347585727e-05, + "loss": 0.8768, + "step": 19060 + }, + { + "epoch": 2.3, + "grad_norm": 0.3123989701271057, + "learning_rate": 4.560221801851133e-05, + "loss": 0.7407, + "step": 19065 + }, + { + "epoch": 2.3, + "grad_norm": 0.3110482394695282, + "learning_rate": 4.552835169422854e-05, + "loss": 0.7504, + "step": 19070 + }, + { + "epoch": 2.3, + "grad_norm": 0.2745916545391083, + "learning_rate": 4.5454534537772825e-05, + "loss": 0.6989, + "step": 19075 + }, + { + "epoch": 2.3, + "grad_norm": 0.2758617401123047, + "learning_rate": 4.5380766583885016e-05, + "loss": 0.7739, + "step": 19080 + }, + { + "epoch": 2.3, + "grad_norm": 0.2954859733581543, + "learning_rate": 4.5307047867282734e-05, + "loss": 0.838, + "step": 19085 + }, + { + "epoch": 2.3, + "grad_norm": 0.285125732421875, + "learning_rate": 4.523337842266047e-05, + "loss": 0.7301, + "step": 19090 + }, + { + "epoch": 2.3, + "grad_norm": 0.2881282567977905, + "learning_rate": 4.515975828468949e-05, + "loss": 0.7589, + "step": 19095 + }, + { + "epoch": 2.3, + "grad_norm": 0.30516520142555237, + "learning_rate": 4.508618748801793e-05, + "loss": 0.8142, + "step": 19100 + }, + { + "epoch": 2.3, + "grad_norm": 0.315054714679718, + "learning_rate": 4.50126660672706e-05, + "loss": 0.7316, + "step": 19105 + }, + { + "epoch": 2.3, + "grad_norm": 0.2825736999511719, + "learning_rate": 4.493919405704917e-05, + "loss": 0.777, + "step": 19110 + }, + { + "epoch": 2.3, + "grad_norm": 0.2859044671058655, + "learning_rate": 4.486577149193191e-05, + "loss": 0.7306, + "step": 19115 + }, + { + "epoch": 2.3, + "grad_norm": 0.29017677903175354, + "learning_rate": 4.479239840647405e-05, + "loss": 0.8264, + "step": 19120 + }, + { + "epoch": 2.3, + "grad_norm": 0.28172457218170166, + "learning_rate": 4.471907483520732e-05, + "loss": 0.7622, + "step": 19125 + }, + { + "epoch": 2.3, + "grad_norm": 0.28697964549064636, + "learning_rate": 4.464580081264026e-05, + "loss": 0.8655, + "step": 19130 + }, + { + "epoch": 2.31, + "grad_norm": 0.290617972612381, + "learning_rate": 4.4572576373257986e-05, + "loss": 0.7366, + "step": 19135 + }, + { + "epoch": 2.31, + "grad_norm": 0.2692755460739136, + "learning_rate": 4.4499401551522504e-05, + "loss": 0.7704, + "step": 19140 + }, + { + "epoch": 2.31, + "grad_norm": 0.3180653750896454, + "learning_rate": 4.442627638187216e-05, + "loss": 0.7775, + "step": 19145 + }, + { + "epoch": 2.31, + "grad_norm": 0.3238975703716278, + "learning_rate": 4.435320089872217e-05, + "loss": 0.7988, + "step": 19150 + }, + { + "epoch": 2.31, + "grad_norm": 0.2899223864078522, + "learning_rate": 4.428017513646418e-05, + "loss": 0.7712, + "step": 19155 + }, + { + "epoch": 2.31, + "grad_norm": 0.2541576027870178, + "learning_rate": 4.4207199129466685e-05, + "loss": 0.8302, + "step": 19160 + }, + { + "epoch": 2.31, + "grad_norm": 0.3092675805091858, + "learning_rate": 4.4134272912074546e-05, + "loss": 0.7243, + "step": 19165 + }, + { + "epoch": 2.31, + "grad_norm": 0.2940780818462372, + "learning_rate": 4.406139651860928e-05, + "loss": 0.7353, + "step": 19170 + }, + { + "epoch": 2.31, + "grad_norm": 0.27896803617477417, + "learning_rate": 4.398856998336885e-05, + "loss": 0.7755, + "step": 19175 + }, + { + "epoch": 2.31, + "grad_norm": 0.275955468416214, + "learning_rate": 4.391579334062798e-05, + "loss": 0.6845, + "step": 19180 + }, + { + "epoch": 2.31, + "grad_norm": 0.27416709065437317, + "learning_rate": 4.3843066624637705e-05, + "loss": 0.8806, + "step": 19185 + }, + { + "epoch": 2.31, + "grad_norm": 0.2871681749820709, + "learning_rate": 4.3770389869625654e-05, + "loss": 0.8377, + "step": 19190 + }, + { + "epoch": 2.31, + "grad_norm": 0.2698437571525574, + "learning_rate": 4.3697763109795845e-05, + "loss": 0.7839, + "step": 19195 + }, + { + "epoch": 2.31, + "grad_norm": 0.2793125510215759, + "learning_rate": 4.362518637932896e-05, + "loss": 0.7334, + "step": 19200 + }, + { + "epoch": 2.31, + "grad_norm": 0.26299965381622314, + "learning_rate": 4.3552659712381965e-05, + "loss": 0.7914, + "step": 19205 + }, + { + "epoch": 2.31, + "grad_norm": 0.29598289728164673, + "learning_rate": 4.34801831430883e-05, + "loss": 0.7296, + "step": 19210 + }, + { + "epoch": 2.32, + "grad_norm": 0.30345529317855835, + "learning_rate": 4.340775670555787e-05, + "loss": 0.7574, + "step": 19215 + }, + { + "epoch": 2.32, + "grad_norm": 0.27294403314590454, + "learning_rate": 4.333538043387695e-05, + "loss": 0.8409, + "step": 19220 + }, + { + "epoch": 2.32, + "grad_norm": 0.2598150968551636, + "learning_rate": 4.326305436210823e-05, + "loss": 0.7326, + "step": 19225 + }, + { + "epoch": 2.32, + "grad_norm": 0.24395301938056946, + "learning_rate": 4.3190778524290755e-05, + "loss": 0.8482, + "step": 19230 + }, + { + "epoch": 2.32, + "grad_norm": 0.26434871554374695, + "learning_rate": 4.311855295443987e-05, + "loss": 0.7736, + "step": 19235 + }, + { + "epoch": 2.32, + "grad_norm": 0.3252696394920349, + "learning_rate": 4.304637768654744e-05, + "loss": 0.7654, + "step": 19240 + }, + { + "epoch": 2.32, + "grad_norm": 0.31384336948394775, + "learning_rate": 4.29742527545815e-05, + "loss": 0.7946, + "step": 19245 + }, + { + "epoch": 2.32, + "grad_norm": 0.2744503617286682, + "learning_rate": 4.290217819248641e-05, + "loss": 0.8248, + "step": 19250 + }, + { + "epoch": 2.32, + "grad_norm": 0.29785433411598206, + "learning_rate": 4.283015403418284e-05, + "loss": 0.777, + "step": 19255 + }, + { + "epoch": 2.32, + "grad_norm": 0.26613983511924744, + "learning_rate": 4.275818031356783e-05, + "loss": 0.7121, + "step": 19260 + }, + { + "epoch": 2.32, + "grad_norm": 0.2956700623035431, + "learning_rate": 4.268625706451454e-05, + "loss": 0.8807, + "step": 19265 + }, + { + "epoch": 2.32, + "grad_norm": 0.2700934112071991, + "learning_rate": 4.261438432087247e-05, + "loss": 0.703, + "step": 19270 + }, + { + "epoch": 2.32, + "grad_norm": 0.2920432984828949, + "learning_rate": 4.2542562116467245e-05, + "loss": 0.8218, + "step": 19275 + }, + { + "epoch": 2.32, + "grad_norm": 0.2755813002586365, + "learning_rate": 4.247079048510089e-05, + "loss": 0.7852, + "step": 19280 + }, + { + "epoch": 2.32, + "grad_norm": 0.3014310598373413, + "learning_rate": 4.239906946055148e-05, + "loss": 0.7117, + "step": 19285 + }, + { + "epoch": 2.32, + "grad_norm": 0.32181209325790405, + "learning_rate": 4.2327399076573284e-05, + "loss": 0.8007, + "step": 19290 + }, + { + "epoch": 2.32, + "grad_norm": 0.3137061297893524, + "learning_rate": 4.225577936689677e-05, + "loss": 0.7185, + "step": 19295 + }, + { + "epoch": 2.33, + "grad_norm": 0.24845640361309052, + "learning_rate": 4.2184210365228575e-05, + "loss": 0.733, + "step": 19300 + }, + { + "epoch": 2.33, + "grad_norm": 0.28396517038345337, + "learning_rate": 4.2112692105251446e-05, + "loss": 0.8673, + "step": 19305 + }, + { + "epoch": 2.33, + "grad_norm": 0.2980553209781647, + "learning_rate": 4.204122462062422e-05, + "loss": 0.7282, + "step": 19310 + }, + { + "epoch": 2.33, + "grad_norm": 0.31656941771507263, + "learning_rate": 4.196980794498185e-05, + "loss": 0.7511, + "step": 19315 + }, + { + "epoch": 2.33, + "grad_norm": 0.26247191429138184, + "learning_rate": 4.189844211193548e-05, + "loss": 0.6768, + "step": 19320 + }, + { + "epoch": 2.33, + "grad_norm": 0.26794061064720154, + "learning_rate": 4.182712715507217e-05, + "loss": 0.774, + "step": 19325 + }, + { + "epoch": 2.33, + "grad_norm": 0.289065420627594, + "learning_rate": 4.175586310795515e-05, + "loss": 0.7939, + "step": 19330 + }, + { + "epoch": 2.33, + "grad_norm": 0.27553194761276245, + "learning_rate": 4.168465000412359e-05, + "loss": 0.6774, + "step": 19335 + }, + { + "epoch": 2.33, + "grad_norm": 0.29777318239212036, + "learning_rate": 4.161348787709282e-05, + "loss": 0.6694, + "step": 19340 + }, + { + "epoch": 2.33, + "grad_norm": 0.289673388004303, + "learning_rate": 4.1542376760354045e-05, + "loss": 0.7335, + "step": 19345 + }, + { + "epoch": 2.33, + "grad_norm": 0.27125170826911926, + "learning_rate": 4.1471316687374556e-05, + "loss": 0.8134, + "step": 19350 + }, + { + "epoch": 2.33, + "grad_norm": 0.2760598063468933, + "learning_rate": 4.140030769159755e-05, + "loss": 0.8138, + "step": 19355 + }, + { + "epoch": 2.33, + "grad_norm": 0.28096047043800354, + "learning_rate": 4.132934980644223e-05, + "loss": 0.7309, + "step": 19360 + }, + { + "epoch": 2.33, + "grad_norm": 0.28885167837142944, + "learning_rate": 4.125844306530373e-05, + "loss": 0.752, + "step": 19365 + }, + { + "epoch": 2.33, + "grad_norm": 0.2942561209201813, + "learning_rate": 4.118758750155311e-05, + "loss": 0.7993, + "step": 19370 + }, + { + "epoch": 2.33, + "grad_norm": 0.24654746055603027, + "learning_rate": 4.111678314853732e-05, + "loss": 0.7266, + "step": 19375 + }, + { + "epoch": 2.34, + "grad_norm": 0.2839394807815552, + "learning_rate": 4.104603003957934e-05, + "loss": 0.7632, + "step": 19380 + }, + { + "epoch": 2.34, + "grad_norm": 0.27274009585380554, + "learning_rate": 4.097532820797786e-05, + "loss": 0.8847, + "step": 19385 + }, + { + "epoch": 2.34, + "grad_norm": 0.2987731397151947, + "learning_rate": 4.0904677687007524e-05, + "loss": 0.7926, + "step": 19390 + }, + { + "epoch": 2.34, + "grad_norm": 0.2836725413799286, + "learning_rate": 4.0834078509918756e-05, + "loss": 0.8595, + "step": 19395 + }, + { + "epoch": 2.34, + "grad_norm": 0.3034559190273285, + "learning_rate": 4.076353070993799e-05, + "loss": 0.8338, + "step": 19400 + }, + { + "epoch": 2.34, + "grad_norm": 0.3112902045249939, + "learning_rate": 4.0693034320267295e-05, + "loss": 0.7235, + "step": 19405 + }, + { + "epoch": 2.34, + "grad_norm": 0.3092862367630005, + "learning_rate": 4.062258937408464e-05, + "loss": 0.7693, + "step": 19410 + }, + { + "epoch": 2.34, + "grad_norm": 0.2575216591358185, + "learning_rate": 4.055219590454366e-05, + "loss": 0.769, + "step": 19415 + }, + { + "epoch": 2.34, + "grad_norm": 0.28645190596580505, + "learning_rate": 4.0481853944774e-05, + "loss": 0.7985, + "step": 19420 + }, + { + "epoch": 2.34, + "grad_norm": 0.29721811413764954, + "learning_rate": 4.0411563527880856e-05, + "loss": 0.878, + "step": 19425 + }, + { + "epoch": 2.34, + "grad_norm": 0.27767476439476013, + "learning_rate": 4.0341324686945237e-05, + "loss": 0.8084, + "step": 19430 + }, + { + "epoch": 2.34, + "grad_norm": 0.3142256736755371, + "learning_rate": 4.027113745502388e-05, + "loss": 0.7558, + "step": 19435 + }, + { + "epoch": 2.34, + "grad_norm": 0.28294190764427185, + "learning_rate": 4.0201001865149206e-05, + "loss": 0.8359, + "step": 19440 + }, + { + "epoch": 2.34, + "grad_norm": 0.31937623023986816, + "learning_rate": 4.013091795032937e-05, + "loss": 0.769, + "step": 19445 + }, + { + "epoch": 2.34, + "grad_norm": 0.26449480652809143, + "learning_rate": 4.006088574354819e-05, + "loss": 0.7822, + "step": 19450 + }, + { + "epoch": 2.34, + "grad_norm": 0.3096768856048584, + "learning_rate": 3.999090527776509e-05, + "loss": 0.7575, + "step": 19455 + }, + { + "epoch": 2.34, + "grad_norm": 0.2941647171974182, + "learning_rate": 3.9920976585915296e-05, + "loss": 0.8384, + "step": 19460 + }, + { + "epoch": 2.35, + "grad_norm": 0.3138192594051361, + "learning_rate": 3.985109970090956e-05, + "loss": 0.7938, + "step": 19465 + }, + { + "epoch": 2.35, + "grad_norm": 0.24960915744304657, + "learning_rate": 3.9781274655634205e-05, + "loss": 0.7544, + "step": 19470 + }, + { + "epoch": 2.35, + "grad_norm": 0.2531121075153351, + "learning_rate": 3.971150148295123e-05, + "loss": 0.9053, + "step": 19475 + }, + { + "epoch": 2.35, + "grad_norm": 0.25435906648635864, + "learning_rate": 3.964178021569825e-05, + "loss": 0.7899, + "step": 19480 + }, + { + "epoch": 2.35, + "grad_norm": 0.27135327458381653, + "learning_rate": 3.957211088668838e-05, + "loss": 0.7274, + "step": 19485 + }, + { + "epoch": 2.35, + "grad_norm": 0.2866491675376892, + "learning_rate": 3.950249352871034e-05, + "loss": 0.7441, + "step": 19490 + }, + { + "epoch": 2.35, + "grad_norm": 0.2988530397415161, + "learning_rate": 3.94329281745283e-05, + "loss": 0.7978, + "step": 19495 + }, + { + "epoch": 2.35, + "grad_norm": 0.27263930439949036, + "learning_rate": 3.9363414856882126e-05, + "loss": 0.7804, + "step": 19500 + }, + { + "epoch": 2.35, + "grad_norm": 0.2896611988544464, + "learning_rate": 3.929395360848704e-05, + "loss": 0.7589, + "step": 19505 + }, + { + "epoch": 2.35, + "grad_norm": 0.28115859627723694, + "learning_rate": 3.9224544462033844e-05, + "loss": 0.7887, + "step": 19510 + }, + { + "epoch": 2.35, + "grad_norm": 0.31314992904663086, + "learning_rate": 3.915518745018873e-05, + "loss": 0.7634, + "step": 19515 + }, + { + "epoch": 2.35, + "grad_norm": 0.28734245896339417, + "learning_rate": 3.9085882605593485e-05, + "loss": 0.8887, + "step": 19520 + }, + { + "epoch": 2.35, + "grad_norm": 0.26335301995277405, + "learning_rate": 3.901662996086519e-05, + "loss": 0.8303, + "step": 19525 + }, + { + "epoch": 2.35, + "grad_norm": 0.2777862846851349, + "learning_rate": 3.8947429548596506e-05, + "loss": 0.7661, + "step": 19530 + }, + { + "epoch": 2.35, + "grad_norm": 0.2924749553203583, + "learning_rate": 3.8878281401355366e-05, + "loss": 0.7203, + "step": 19535 + }, + { + "epoch": 2.35, + "grad_norm": 0.265706866979599, + "learning_rate": 3.880918555168528e-05, + "loss": 0.8163, + "step": 19540 + }, + { + "epoch": 2.35, + "grad_norm": 0.29131948947906494, + "learning_rate": 3.8740142032105e-05, + "loss": 0.8113, + "step": 19545 + }, + { + "epoch": 2.36, + "grad_norm": 0.26033177971839905, + "learning_rate": 3.8671150875108715e-05, + "loss": 0.8122, + "step": 19550 + }, + { + "epoch": 2.36, + "grad_norm": 0.2742202579975128, + "learning_rate": 3.8602212113165886e-05, + "loss": 0.8273, + "step": 19555 + }, + { + "epoch": 2.36, + "grad_norm": 0.2769484221935272, + "learning_rate": 3.85333257787215e-05, + "loss": 0.7594, + "step": 19560 + }, + { + "epoch": 2.36, + "grad_norm": 0.31669124960899353, + "learning_rate": 3.846449190419569e-05, + "loss": 0.8816, + "step": 19565 + }, + { + "epoch": 2.36, + "grad_norm": 0.28259631991386414, + "learning_rate": 3.839571052198398e-05, + "loss": 0.7435, + "step": 19570 + }, + { + "epoch": 2.36, + "grad_norm": 0.2604540288448334, + "learning_rate": 3.832698166445715e-05, + "loss": 0.7484, + "step": 19575 + }, + { + "epoch": 2.36, + "grad_norm": 0.3139670491218567, + "learning_rate": 3.82583053639613e-05, + "loss": 0.7701, + "step": 19580 + }, + { + "epoch": 2.36, + "grad_norm": 0.30153560638427734, + "learning_rate": 3.818968165281777e-05, + "loss": 0.8798, + "step": 19585 + }, + { + "epoch": 2.36, + "grad_norm": 0.27177488803863525, + "learning_rate": 3.8121110563323115e-05, + "loss": 0.7226, + "step": 19590 + }, + { + "epoch": 2.36, + "grad_norm": 0.27674952149391174, + "learning_rate": 3.8052592127749265e-05, + "loss": 0.8741, + "step": 19595 + }, + { + "epoch": 2.36, + "grad_norm": 0.2683180570602417, + "learning_rate": 3.798412637834321e-05, + "loss": 0.767, + "step": 19600 + }, + { + "epoch": 2.36, + "grad_norm": 0.25967836380004883, + "learning_rate": 3.7915713347327225e-05, + "loss": 0.7556, + "step": 19605 + }, + { + "epoch": 2.36, + "grad_norm": 0.2514658570289612, + "learning_rate": 3.784735306689869e-05, + "loss": 0.7164, + "step": 19610 + }, + { + "epoch": 2.36, + "grad_norm": 0.2914251983165741, + "learning_rate": 3.777904556923031e-05, + "loss": 0.9218, + "step": 19615 + }, + { + "epoch": 2.36, + "grad_norm": 0.24623388051986694, + "learning_rate": 3.7710790886469837e-05, + "loss": 0.8447, + "step": 19620 + }, + { + "epoch": 2.36, + "grad_norm": 0.295613169670105, + "learning_rate": 3.764258905074018e-05, + "loss": 0.735, + "step": 19625 + }, + { + "epoch": 2.37, + "grad_norm": 0.3049282133579254, + "learning_rate": 3.7574440094139364e-05, + "loss": 0.7163, + "step": 19630 + }, + { + "epoch": 2.37, + "grad_norm": 0.3349364101886749, + "learning_rate": 3.75063440487406e-05, + "loss": 0.8382, + "step": 19635 + }, + { + "epoch": 2.37, + "grad_norm": 0.2821791172027588, + "learning_rate": 3.743830094659212e-05, + "loss": 0.7424, + "step": 19640 + }, + { + "epoch": 2.37, + "grad_norm": 0.2976232171058655, + "learning_rate": 3.737031081971729e-05, + "loss": 0.7901, + "step": 19645 + }, + { + "epoch": 2.37, + "grad_norm": 0.2489924281835556, + "learning_rate": 3.73023737001145e-05, + "loss": 0.7586, + "step": 19650 + }, + { + "epoch": 2.37, + "grad_norm": 0.2726670503616333, + "learning_rate": 3.723448961975722e-05, + "loss": 0.8153, + "step": 19655 + }, + { + "epoch": 2.37, + "grad_norm": 0.29014068841934204, + "learning_rate": 3.7166658610593955e-05, + "loss": 0.8317, + "step": 19660 + }, + { + "epoch": 2.37, + "grad_norm": 0.28912895917892456, + "learning_rate": 3.709888070454822e-05, + "loss": 0.8345, + "step": 19665 + }, + { + "epoch": 2.37, + "grad_norm": 0.2740095257759094, + "learning_rate": 3.70311559335185e-05, + "loss": 0.7405, + "step": 19670 + }, + { + "epoch": 2.37, + "grad_norm": 0.3410658836364746, + "learning_rate": 3.696348432937845e-05, + "loss": 0.7129, + "step": 19675 + }, + { + "epoch": 2.37, + "grad_norm": 0.2865118682384491, + "learning_rate": 3.689586592397647e-05, + "loss": 0.7907, + "step": 19680 + }, + { + "epoch": 2.37, + "grad_norm": 0.26647239923477173, + "learning_rate": 3.6828300749136085e-05, + "loss": 0.8186, + "step": 19685 + }, + { + "epoch": 2.37, + "grad_norm": 0.30425769090652466, + "learning_rate": 3.6760788836655624e-05, + "loss": 0.7776, + "step": 19690 + }, + { + "epoch": 2.37, + "grad_norm": 0.28291577100753784, + "learning_rate": 3.669333021830854e-05, + "loss": 0.7774, + "step": 19695 + }, + { + "epoch": 2.37, + "grad_norm": 0.294132262468338, + "learning_rate": 3.662592492584306e-05, + "loss": 0.7293, + "step": 19700 + }, + { + "epoch": 2.37, + "grad_norm": 0.28489431738853455, + "learning_rate": 3.655857299098233e-05, + "loss": 0.7946, + "step": 19705 + }, + { + "epoch": 2.37, + "grad_norm": 0.2683461308479309, + "learning_rate": 3.64912744454244e-05, + "loss": 0.7626, + "step": 19710 + }, + { + "epoch": 2.38, + "grad_norm": 0.24661622941493988, + "learning_rate": 3.6424029320842265e-05, + "loss": 0.7492, + "step": 19715 + }, + { + "epoch": 2.38, + "grad_norm": 0.266984760761261, + "learning_rate": 3.635683764888367e-05, + "loss": 0.7598, + "step": 19720 + }, + { + "epoch": 2.38, + "grad_norm": 0.2817406952381134, + "learning_rate": 3.628969946117129e-05, + "loss": 0.852, + "step": 19725 + }, + { + "epoch": 2.38, + "grad_norm": 0.2606806755065918, + "learning_rate": 3.6222614789302454e-05, + "loss": 0.863, + "step": 19730 + }, + { + "epoch": 2.38, + "grad_norm": 0.2557438015937805, + "learning_rate": 3.615558366484958e-05, + "loss": 0.7349, + "step": 19735 + }, + { + "epoch": 2.38, + "grad_norm": 0.27822768688201904, + "learning_rate": 3.608860611935969e-05, + "loss": 0.8482, + "step": 19740 + }, + { + "epoch": 2.38, + "grad_norm": 0.2577543556690216, + "learning_rate": 3.602168218435464e-05, + "loss": 0.8088, + "step": 19745 + }, + { + "epoch": 2.38, + "grad_norm": 0.3152078092098236, + "learning_rate": 3.595481189133101e-05, + "loss": 0.7895, + "step": 19750 + }, + { + "epoch": 2.38, + "grad_norm": 0.2776154577732086, + "learning_rate": 3.588799527176026e-05, + "loss": 0.8115, + "step": 19755 + }, + { + "epoch": 2.38, + "grad_norm": 0.2907949984073639, + "learning_rate": 3.5821232357088493e-05, + "loss": 0.8447, + "step": 19760 + }, + { + "epoch": 2.38, + "grad_norm": 0.27817782759666443, + "learning_rate": 3.575452317873653e-05, + "loss": 0.7258, + "step": 19765 + }, + { + "epoch": 2.38, + "grad_norm": 0.2644236087799072, + "learning_rate": 3.56878677680999e-05, + "loss": 0.7573, + "step": 19770 + }, + { + "epoch": 2.38, + "grad_norm": 0.28008079528808594, + "learning_rate": 3.5621266156548925e-05, + "loss": 0.8521, + "step": 19775 + }, + { + "epoch": 2.38, + "grad_norm": 0.2851678133010864, + "learning_rate": 3.55547183754285e-05, + "loss": 0.8946, + "step": 19780 + }, + { + "epoch": 2.38, + "grad_norm": 0.29239290952682495, + "learning_rate": 3.5488224456058215e-05, + "loss": 0.7888, + "step": 19785 + }, + { + "epoch": 2.38, + "grad_norm": 0.2597346305847168, + "learning_rate": 3.5421784429732316e-05, + "loss": 0.7592, + "step": 19790 + }, + { + "epoch": 2.39, + "grad_norm": 0.2777891159057617, + "learning_rate": 3.535539832771971e-05, + "loss": 0.7478, + "step": 19795 + }, + { + "epoch": 2.39, + "grad_norm": 0.2665190100669861, + "learning_rate": 3.528906618126385e-05, + "loss": 0.8196, + "step": 19800 + }, + { + "epoch": 2.39, + "grad_norm": 0.2569584548473358, + "learning_rate": 3.52227880215829e-05, + "loss": 0.8045, + "step": 19805 + }, + { + "epoch": 2.39, + "grad_norm": 0.2824585437774658, + "learning_rate": 3.5156563879869494e-05, + "loss": 0.7438, + "step": 19810 + }, + { + "epoch": 2.39, + "grad_norm": 0.2764226496219635, + "learning_rate": 3.509039378729099e-05, + "loss": 0.7557, + "step": 19815 + }, + { + "epoch": 2.39, + "grad_norm": 0.2752508521080017, + "learning_rate": 3.5024277774989203e-05, + "loss": 0.9046, + "step": 19820 + }, + { + "epoch": 2.39, + "grad_norm": 0.28766295313835144, + "learning_rate": 3.4958215874080526e-05, + "loss": 0.7422, + "step": 19825 + }, + { + "epoch": 2.39, + "grad_norm": 0.25225573778152466, + "learning_rate": 3.4892208115655837e-05, + "loss": 0.8565, + "step": 19830 + }, + { + "epoch": 2.39, + "grad_norm": 0.3149223327636719, + "learning_rate": 3.482625453078065e-05, + "loss": 0.7516, + "step": 19835 + }, + { + "epoch": 2.39, + "grad_norm": 0.30531787872314453, + "learning_rate": 3.4760355150494895e-05, + "loss": 0.7884, + "step": 19840 + }, + { + "epoch": 2.39, + "grad_norm": 0.2835243046283722, + "learning_rate": 3.4694510005812996e-05, + "loss": 0.7924, + "step": 19845 + }, + { + "epoch": 2.39, + "grad_norm": 0.2607024013996124, + "learning_rate": 3.462871912772382e-05, + "loss": 0.7911, + "step": 19850 + }, + { + "epoch": 2.39, + "grad_norm": 0.29384374618530273, + "learning_rate": 3.4562982547190824e-05, + "loss": 0.8039, + "step": 19855 + }, + { + "epoch": 2.39, + "grad_norm": 0.28320446610450745, + "learning_rate": 3.449730029515179e-05, + "loss": 0.7786, + "step": 19860 + }, + { + "epoch": 2.39, + "grad_norm": 0.281463623046875, + "learning_rate": 3.4431672402518955e-05, + "loss": 0.7672, + "step": 19865 + }, + { + "epoch": 2.39, + "grad_norm": 0.2654038369655609, + "learning_rate": 3.436609890017901e-05, + "loss": 0.8256, + "step": 19870 + }, + { + "epoch": 2.39, + "grad_norm": 0.2744678556919098, + "learning_rate": 3.430057981899298e-05, + "loss": 0.7221, + "step": 19875 + }, + { + "epoch": 2.4, + "grad_norm": 0.28920984268188477, + "learning_rate": 3.4235115189796375e-05, + "loss": 0.7532, + "step": 19880 + }, + { + "epoch": 2.4, + "grad_norm": 0.3083685040473938, + "learning_rate": 3.416970504339897e-05, + "loss": 0.7365, + "step": 19885 + }, + { + "epoch": 2.4, + "grad_norm": 0.25423839688301086, + "learning_rate": 3.410434941058495e-05, + "loss": 0.8097, + "step": 19890 + }, + { + "epoch": 2.4, + "grad_norm": 0.25034499168395996, + "learning_rate": 3.4039048322112917e-05, + "loss": 0.7832, + "step": 19895 + }, + { + "epoch": 2.4, + "grad_norm": 0.2709154188632965, + "learning_rate": 3.3973801808715676e-05, + "loss": 0.7133, + "step": 19900 + }, + { + "epoch": 2.4, + "grad_norm": 0.2830277383327484, + "learning_rate": 3.390860990110042e-05, + "loss": 0.8309, + "step": 19905 + }, + { + "epoch": 2.4, + "grad_norm": 0.26153650879859924, + "learning_rate": 3.384347262994858e-05, + "loss": 0.7983, + "step": 19910 + }, + { + "epoch": 2.4, + "grad_norm": 0.23845182359218597, + "learning_rate": 3.377839002591599e-05, + "loss": 0.84, + "step": 19915 + }, + { + "epoch": 2.4, + "grad_norm": 0.3157477080821991, + "learning_rate": 3.371336211963268e-05, + "loss": 0.7391, + "step": 19920 + }, + { + "epoch": 2.4, + "grad_norm": 0.25639525055885315, + "learning_rate": 3.364838894170289e-05, + "loss": 0.7765, + "step": 19925 + }, + { + "epoch": 2.4, + "grad_norm": 0.27470090985298157, + "learning_rate": 3.358347052270515e-05, + "loss": 0.7211, + "step": 19930 + }, + { + "epoch": 2.4, + "grad_norm": 0.3165142238140106, + "learning_rate": 3.351860689319234e-05, + "loss": 0.7079, + "step": 19935 + }, + { + "epoch": 2.4, + "grad_norm": 0.2669844329357147, + "learning_rate": 3.345379808369132e-05, + "loss": 0.7023, + "step": 19940 + }, + { + "epoch": 2.4, + "grad_norm": 0.29056012630462646, + "learning_rate": 3.338904412470328e-05, + "loss": 0.8274, + "step": 19945 + }, + { + "epoch": 2.4, + "grad_norm": 0.304496169090271, + "learning_rate": 3.332434504670358e-05, + "loss": 0.821, + "step": 19950 + }, + { + "epoch": 2.4, + "grad_norm": 0.29382607340812683, + "learning_rate": 3.3259700880141815e-05, + "loss": 0.7403, + "step": 19955 + }, + { + "epoch": 2.4, + "grad_norm": 0.27669087052345276, + "learning_rate": 3.319511165544165e-05, + "loss": 0.6459, + "step": 19960 + }, + { + "epoch": 2.41, + "grad_norm": 0.2903481125831604, + "learning_rate": 3.313057740300089e-05, + "loss": 0.8414, + "step": 19965 + }, + { + "epoch": 2.41, + "grad_norm": 0.2781134247779846, + "learning_rate": 3.30660981531915e-05, + "loss": 0.7587, + "step": 19970 + }, + { + "epoch": 2.41, + "grad_norm": 0.24643659591674805, + "learning_rate": 3.3001673936359604e-05, + "loss": 0.7535, + "step": 19975 + }, + { + "epoch": 2.41, + "grad_norm": 0.306083083152771, + "learning_rate": 3.293730478282534e-05, + "loss": 0.7106, + "step": 19980 + }, + { + "epoch": 2.41, + "grad_norm": 0.26486045122146606, + "learning_rate": 3.2872990722882984e-05, + "loss": 0.8252, + "step": 19985 + }, + { + "epoch": 2.41, + "grad_norm": 0.2603921890258789, + "learning_rate": 3.280873178680082e-05, + "loss": 0.7914, + "step": 19990 + }, + { + "epoch": 2.41, + "grad_norm": 0.31112536787986755, + "learning_rate": 3.274452800482133e-05, + "loss": 0.7106, + "step": 19995 + }, + { + "epoch": 2.41, + "grad_norm": 0.26250556111335754, + "learning_rate": 3.2680379407160886e-05, + "loss": 0.7859, + "step": 20000 + }, + { + "epoch": 2.41, + "grad_norm": 0.28084659576416016, + "learning_rate": 3.261628602400995e-05, + "loss": 0.7564, + "step": 20005 + }, + { + "epoch": 2.41, + "grad_norm": 0.2960032820701599, + "learning_rate": 3.2552247885533005e-05, + "loss": 0.8016, + "step": 20010 + }, + { + "epoch": 2.41, + "grad_norm": 0.3024326264858246, + "learning_rate": 3.248826502186854e-05, + "loss": 0.8589, + "step": 20015 + }, + { + "epoch": 2.41, + "grad_norm": 0.28151461482048035, + "learning_rate": 3.242433746312899e-05, + "loss": 0.8336, + "step": 20020 + }, + { + "epoch": 2.41, + "grad_norm": 0.2718256711959839, + "learning_rate": 3.23604652394008e-05, + "loss": 0.6869, + "step": 20025 + }, + { + "epoch": 2.41, + "grad_norm": 0.31024929881095886, + "learning_rate": 3.229664838074431e-05, + "loss": 0.9043, + "step": 20030 + }, + { + "epoch": 2.41, + "grad_norm": 0.26419252157211304, + "learning_rate": 3.223288691719394e-05, + "loss": 0.7494, + "step": 20035 + }, + { + "epoch": 2.41, + "grad_norm": 0.27617117762565613, + "learning_rate": 3.216918087875792e-05, + "loss": 0.7913, + "step": 20040 + }, + { + "epoch": 2.42, + "grad_norm": 0.2638927102088928, + "learning_rate": 3.21055302954184e-05, + "loss": 0.7151, + "step": 20045 + }, + { + "epoch": 2.42, + "grad_norm": 0.2976774573326111, + "learning_rate": 3.204193519713146e-05, + "loss": 0.7635, + "step": 20050 + }, + { + "epoch": 2.42, + "grad_norm": 0.256143182516098, + "learning_rate": 3.197839561382711e-05, + "loss": 0.8376, + "step": 20055 + }, + { + "epoch": 2.42, + "grad_norm": 0.2871249318122864, + "learning_rate": 3.1914911575409165e-05, + "loss": 0.707, + "step": 20060 + }, + { + "epoch": 2.42, + "grad_norm": 0.269939661026001, + "learning_rate": 3.1851483111755276e-05, + "loss": 0.8975, + "step": 20065 + }, + { + "epoch": 2.42, + "grad_norm": 0.2935774326324463, + "learning_rate": 3.178811025271705e-05, + "loss": 0.787, + "step": 20070 + }, + { + "epoch": 2.42, + "grad_norm": 0.2772122621536255, + "learning_rate": 3.1724793028119846e-05, + "loss": 0.6818, + "step": 20075 + }, + { + "epoch": 2.42, + "grad_norm": 0.3376406133174896, + "learning_rate": 3.1661531467762866e-05, + "loss": 0.6406, + "step": 20080 + }, + { + "epoch": 2.42, + "grad_norm": 0.24912644922733307, + "learning_rate": 3.159832560141904e-05, + "loss": 0.8038, + "step": 20085 + }, + { + "epoch": 2.42, + "grad_norm": 0.26904556155204773, + "learning_rate": 3.15351754588352e-05, + "loss": 0.8043, + "step": 20090 + }, + { + "epoch": 2.42, + "grad_norm": 0.27094265818595886, + "learning_rate": 3.147208106973189e-05, + "loss": 0.8588, + "step": 20095 + }, + { + "epoch": 2.42, + "grad_norm": 0.26303452253341675, + "learning_rate": 3.1409042463803406e-05, + "loss": 0.7485, + "step": 20100 + }, + { + "epoch": 2.42, + "grad_norm": 0.29558247327804565, + "learning_rate": 3.1346059670717783e-05, + "loss": 0.8514, + "step": 20105 + }, + { + "epoch": 2.42, + "grad_norm": 0.2617008090019226, + "learning_rate": 3.12831327201169e-05, + "loss": 0.7401, + "step": 20110 + }, + { + "epoch": 2.42, + "grad_norm": 0.29769590497016907, + "learning_rate": 3.1220261641616226e-05, + "loss": 0.6958, + "step": 20115 + }, + { + "epoch": 2.42, + "grad_norm": 0.2647980749607086, + "learning_rate": 3.1157446464804966e-05, + "loss": 0.824, + "step": 20120 + }, + { + "epoch": 2.42, + "grad_norm": 0.2724788784980774, + "learning_rate": 3.1094687219246025e-05, + "loss": 0.8486, + "step": 20125 + }, + { + "epoch": 2.43, + "grad_norm": 0.2676187753677368, + "learning_rate": 3.103198393447601e-05, + "loss": 0.8293, + "step": 20130 + }, + { + "epoch": 2.43, + "grad_norm": 0.254800945520401, + "learning_rate": 3.096933664000518e-05, + "loss": 0.8403, + "step": 20135 + }, + { + "epoch": 2.43, + "grad_norm": 0.2803385853767395, + "learning_rate": 3.090674536531741e-05, + "loss": 0.7535, + "step": 20140 + }, + { + "epoch": 2.43, + "grad_norm": 0.3000488877296448, + "learning_rate": 3.084421013987023e-05, + "loss": 0.7952, + "step": 20145 + }, + { + "epoch": 2.43, + "grad_norm": 0.24971972405910492, + "learning_rate": 3.07817309930948e-05, + "loss": 0.7537, + "step": 20150 + }, + { + "epoch": 2.43, + "grad_norm": 0.29271334409713745, + "learning_rate": 3.0719307954395886e-05, + "loss": 0.8457, + "step": 20155 + }, + { + "epoch": 2.43, + "grad_norm": 0.27046826481819153, + "learning_rate": 3.0656941053151846e-05, + "loss": 0.7313, + "step": 20160 + }, + { + "epoch": 2.43, + "grad_norm": 0.3202589154243469, + "learning_rate": 3.059463031871456e-05, + "loss": 0.7813, + "step": 20165 + }, + { + "epoch": 2.43, + "grad_norm": 0.2895718514919281, + "learning_rate": 3.05323757804096e-05, + "loss": 0.768, + "step": 20170 + }, + { + "epoch": 2.43, + "grad_norm": 0.28640422224998474, + "learning_rate": 3.0470177467536006e-05, + "loss": 0.7901, + "step": 20175 + }, + { + "epoch": 2.43, + "grad_norm": 0.2655580937862396, + "learning_rate": 3.040803540936637e-05, + "loss": 0.8789, + "step": 20180 + }, + { + "epoch": 2.43, + "grad_norm": 0.26338696479797363, + "learning_rate": 3.034594963514674e-05, + "loss": 0.8176, + "step": 20185 + }, + { + "epoch": 2.43, + "grad_norm": 0.27758362889289856, + "learning_rate": 3.028392017409685e-05, + "loss": 0.7612, + "step": 20190 + }, + { + "epoch": 2.43, + "grad_norm": 0.31428468227386475, + "learning_rate": 3.0221947055409766e-05, + "loss": 0.7512, + "step": 20195 + }, + { + "epoch": 2.43, + "grad_norm": 0.3056136965751648, + "learning_rate": 3.0160030308252113e-05, + "loss": 0.8479, + "step": 20200 + }, + { + "epoch": 2.43, + "grad_norm": 0.2786805331707001, + "learning_rate": 3.0098169961763913e-05, + "loss": 0.8396, + "step": 20205 + }, + { + "epoch": 2.44, + "grad_norm": 0.2735007405281067, + "learning_rate": 3.003636604505879e-05, + "loss": 0.7215, + "step": 20210 + }, + { + "epoch": 2.44, + "grad_norm": 0.2933249771595001, + "learning_rate": 2.9974618587223665e-05, + "loss": 0.8251, + "step": 20215 + }, + { + "epoch": 2.44, + "grad_norm": 0.24182629585266113, + "learning_rate": 2.991292761731897e-05, + "loss": 0.7686, + "step": 20220 + }, + { + "epoch": 2.44, + "grad_norm": 0.31849405169487, + "learning_rate": 2.9851293164378488e-05, + "loss": 0.8349, + "step": 20225 + }, + { + "epoch": 2.44, + "grad_norm": 0.2779251039028168, + "learning_rate": 2.9789715257409475e-05, + "loss": 0.7816, + "step": 20230 + }, + { + "epoch": 2.44, + "grad_norm": 0.2377801239490509, + "learning_rate": 2.9728193925392502e-05, + "loss": 0.8013, + "step": 20235 + }, + { + "epoch": 2.44, + "grad_norm": 0.29114991426467896, + "learning_rate": 2.966672919728159e-05, + "loss": 0.7782, + "step": 20240 + }, + { + "epoch": 2.44, + "grad_norm": 0.2626573443412781, + "learning_rate": 2.960532110200402e-05, + "loss": 0.7895, + "step": 20245 + }, + { + "epoch": 2.44, + "grad_norm": 0.26689302921295166, + "learning_rate": 2.9543969668460556e-05, + "loss": 0.7706, + "step": 20250 + }, + { + "epoch": 2.44, + "grad_norm": 0.29479920864105225, + "learning_rate": 2.948267492552518e-05, + "loss": 0.8125, + "step": 20255 + }, + { + "epoch": 2.44, + "grad_norm": 0.2591875195503235, + "learning_rate": 2.9421436902045255e-05, + "loss": 0.8254, + "step": 20260 + }, + { + "epoch": 2.44, + "grad_norm": 0.23983192443847656, + "learning_rate": 2.9360255626841374e-05, + "loss": 0.731, + "step": 20265 + }, + { + "epoch": 2.44, + "grad_norm": 0.27949729561805725, + "learning_rate": 2.9299131128707537e-05, + "loss": 0.7235, + "step": 20270 + }, + { + "epoch": 2.44, + "grad_norm": 0.29695627093315125, + "learning_rate": 2.923806343641097e-05, + "loss": 0.8012, + "step": 20275 + }, + { + "epoch": 2.44, + "grad_norm": 0.26276320219039917, + "learning_rate": 2.917705257869211e-05, + "loss": 0.7519, + "step": 20280 + }, + { + "epoch": 2.44, + "grad_norm": 0.2703682482242584, + "learning_rate": 2.911609858426468e-05, + "loss": 0.8297, + "step": 20285 + }, + { + "epoch": 2.44, + "grad_norm": 0.28486260771751404, + "learning_rate": 2.9055201481815727e-05, + "loss": 0.8341, + "step": 20290 + }, + { + "epoch": 2.45, + "grad_norm": 0.266369104385376, + "learning_rate": 2.8994361300005407e-05, + "loss": 0.6976, + "step": 20295 + }, + { + "epoch": 2.45, + "grad_norm": 0.2816215753555298, + "learning_rate": 2.8933578067467123e-05, + "loss": 0.846, + "step": 20300 + }, + { + "epoch": 2.45, + "grad_norm": 0.273666650056839, + "learning_rate": 2.8872851812807502e-05, + "loss": 0.7309, + "step": 20305 + }, + { + "epoch": 2.45, + "grad_norm": 0.30615535378456116, + "learning_rate": 2.8812182564606334e-05, + "loss": 0.7782, + "step": 20310 + }, + { + "epoch": 2.45, + "grad_norm": 0.2994655966758728, + "learning_rate": 2.8751570351416564e-05, + "loss": 0.6678, + "step": 20315 + }, + { + "epoch": 2.45, + "grad_norm": 0.2747027277946472, + "learning_rate": 2.8691015201764323e-05, + "loss": 0.7504, + "step": 20320 + }, + { + "epoch": 2.45, + "grad_norm": 0.28770124912261963, + "learning_rate": 2.863051714414883e-05, + "loss": 0.7577, + "step": 20325 + }, + { + "epoch": 2.45, + "grad_norm": 0.27923446893692017, + "learning_rate": 2.8570076207042574e-05, + "loss": 0.7865, + "step": 20330 + }, + { + "epoch": 2.45, + "grad_norm": 0.26224157214164734, + "learning_rate": 2.8509692418891024e-05, + "loss": 0.7961, + "step": 20335 + }, + { + "epoch": 2.45, + "grad_norm": 0.2644881308078766, + "learning_rate": 2.8449365808112773e-05, + "loss": 0.7063, + "step": 20340 + }, + { + "epoch": 2.45, + "grad_norm": 0.2863686680793762, + "learning_rate": 2.8389096403099515e-05, + "loss": 0.8939, + "step": 20345 + }, + { + "epoch": 2.45, + "grad_norm": 0.27196264266967773, + "learning_rate": 2.832888423221611e-05, + "loss": 0.803, + "step": 20350 + }, + { + "epoch": 2.45, + "grad_norm": 0.2805080711841583, + "learning_rate": 2.826872932380034e-05, + "loss": 0.8347, + "step": 20355 + }, + { + "epoch": 2.45, + "grad_norm": 0.27300190925598145, + "learning_rate": 2.820863170616312e-05, + "loss": 0.7662, + "step": 20360 + }, + { + "epoch": 2.45, + "grad_norm": 0.2929331660270691, + "learning_rate": 2.81485914075884e-05, + "loss": 0.8332, + "step": 20365 + }, + { + "epoch": 2.45, + "grad_norm": 0.3110920190811157, + "learning_rate": 2.808860845633312e-05, + "loss": 0.7865, + "step": 20370 + }, + { + "epoch": 2.45, + "grad_norm": 0.2958769202232361, + "learning_rate": 2.8028682880627255e-05, + "loss": 0.7955, + "step": 20375 + }, + { + "epoch": 2.46, + "grad_norm": 0.2582022547721863, + "learning_rate": 2.7968814708673758e-05, + "loss": 0.8322, + "step": 20380 + }, + { + "epoch": 2.46, + "grad_norm": 0.27582964301109314, + "learning_rate": 2.7909003968648557e-05, + "loss": 0.8729, + "step": 20385 + }, + { + "epoch": 2.46, + "grad_norm": 0.29320433735847473, + "learning_rate": 2.7849250688700637e-05, + "loss": 0.7828, + "step": 20390 + }, + { + "epoch": 2.46, + "grad_norm": 0.2722160220146179, + "learning_rate": 2.7789554896951865e-05, + "loss": 0.7481, + "step": 20395 + }, + { + "epoch": 2.46, + "grad_norm": 0.3223639130592346, + "learning_rate": 2.7729916621497022e-05, + "loss": 0.9109, + "step": 20400 + }, + { + "epoch": 2.46, + "grad_norm": 0.2686358690261841, + "learning_rate": 2.7670335890403837e-05, + "loss": 0.7711, + "step": 20405 + }, + { + "epoch": 2.46, + "grad_norm": 0.2783448398113251, + "learning_rate": 2.7610812731713084e-05, + "loss": 0.8384, + "step": 20410 + }, + { + "epoch": 2.46, + "grad_norm": 0.3094173073768616, + "learning_rate": 2.7551347173438267e-05, + "loss": 0.7424, + "step": 20415 + }, + { + "epoch": 2.46, + "grad_norm": 0.29645413160324097, + "learning_rate": 2.7491939243565862e-05, + "loss": 0.813, + "step": 20420 + }, + { + "epoch": 2.46, + "grad_norm": 0.31017208099365234, + "learning_rate": 2.7432588970055182e-05, + "loss": 0.8065, + "step": 20425 + }, + { + "epoch": 2.46, + "grad_norm": 0.29746440052986145, + "learning_rate": 2.7373296380838505e-05, + "loss": 0.7532, + "step": 20430 + }, + { + "epoch": 2.46, + "grad_norm": 0.2688598930835724, + "learning_rate": 2.7314061503820865e-05, + "loss": 0.7811, + "step": 20435 + }, + { + "epoch": 2.46, + "grad_norm": 0.30386409163475037, + "learning_rate": 2.7254884366880146e-05, + "loss": 0.7961, + "step": 20440 + }, + { + "epoch": 2.46, + "grad_norm": 0.28410372138023376, + "learning_rate": 2.7195764997867085e-05, + "loss": 0.9115, + "step": 20445 + }, + { + "epoch": 2.46, + "grad_norm": 0.2933676242828369, + "learning_rate": 2.7136703424605228e-05, + "loss": 0.8635, + "step": 20450 + }, + { + "epoch": 2.46, + "grad_norm": 0.3018134832382202, + "learning_rate": 2.7077699674890903e-05, + "loss": 0.7459, + "step": 20455 + }, + { + "epoch": 2.47, + "grad_norm": 0.2924741208553314, + "learning_rate": 2.7018753776493213e-05, + "loss": 0.8325, + "step": 20460 + }, + { + "epoch": 2.47, + "grad_norm": 0.2926197946071625, + "learning_rate": 2.6959865757154054e-05, + "loss": 0.722, + "step": 20465 + }, + { + "epoch": 2.47, + "grad_norm": 0.285312294960022, + "learning_rate": 2.6901035644588154e-05, + "loss": 0.8077, + "step": 20470 + }, + { + "epoch": 2.47, + "grad_norm": 0.2824037969112396, + "learning_rate": 2.684226346648285e-05, + "loss": 0.6966, + "step": 20475 + }, + { + "epoch": 2.47, + "grad_norm": 0.29435649514198303, + "learning_rate": 2.6783549250498315e-05, + "loss": 0.6975, + "step": 20480 + }, + { + "epoch": 2.47, + "grad_norm": 0.26435035467147827, + "learning_rate": 2.6724893024267348e-05, + "loss": 0.8694, + "step": 20485 + }, + { + "epoch": 2.47, + "grad_norm": 0.29340675473213196, + "learning_rate": 2.6666294815395612e-05, + "loss": 0.7117, + "step": 20490 + }, + { + "epoch": 2.47, + "grad_norm": 0.30014726519584656, + "learning_rate": 2.6607754651461317e-05, + "loss": 0.7437, + "step": 20495 + }, + { + "epoch": 2.47, + "grad_norm": 0.31490999460220337, + "learning_rate": 2.6549272560015406e-05, + "loss": 0.7764, + "step": 20500 + }, + { + "epoch": 2.47, + "grad_norm": 0.26503077149391174, + "learning_rate": 2.6490848568581462e-05, + "loss": 0.7501, + "step": 20505 + }, + { + "epoch": 2.47, + "grad_norm": 0.29323646426200867, + "learning_rate": 2.6432482704655845e-05, + "loss": 0.8158, + "step": 20510 + }, + { + "epoch": 2.47, + "grad_norm": 0.2801787555217743, + "learning_rate": 2.637417499570741e-05, + "loss": 0.7489, + "step": 20515 + }, + { + "epoch": 2.47, + "grad_norm": 0.2741035223007202, + "learning_rate": 2.631592546917774e-05, + "loss": 0.8378, + "step": 20520 + }, + { + "epoch": 2.47, + "grad_norm": 0.300493448972702, + "learning_rate": 2.6257734152480893e-05, + "loss": 0.7904, + "step": 20525 + }, + { + "epoch": 2.47, + "grad_norm": 0.2564448118209839, + "learning_rate": 2.619960107300374e-05, + "loss": 0.7423, + "step": 20530 + }, + { + "epoch": 2.47, + "grad_norm": 0.26825183629989624, + "learning_rate": 2.6141526258105615e-05, + "loss": 0.7046, + "step": 20535 + }, + { + "epoch": 2.47, + "grad_norm": 0.2867426872253418, + "learning_rate": 2.608350973511844e-05, + "loss": 0.8206, + "step": 20540 + }, + { + "epoch": 2.48, + "grad_norm": 0.2587963938713074, + "learning_rate": 2.6025551531346688e-05, + "loss": 0.7434, + "step": 20545 + }, + { + "epoch": 2.48, + "grad_norm": 0.3124673664569855, + "learning_rate": 2.5967651674067493e-05, + "loss": 0.7841, + "step": 20550 + }, + { + "epoch": 2.48, + "grad_norm": 0.28737810254096985, + "learning_rate": 2.59098101905304e-05, + "loss": 0.7924, + "step": 20555 + }, + { + "epoch": 2.48, + "grad_norm": 0.2854047417640686, + "learning_rate": 2.585202710795754e-05, + "loss": 0.7533, + "step": 20560 + }, + { + "epoch": 2.48, + "grad_norm": 0.24524690210819244, + "learning_rate": 2.5794302453543524e-05, + "loss": 0.8201, + "step": 20565 + }, + { + "epoch": 2.48, + "grad_norm": 0.30324557423591614, + "learning_rate": 2.573663625445554e-05, + "loss": 0.8067, + "step": 20570 + }, + { + "epoch": 2.48, + "grad_norm": 0.29187995195388794, + "learning_rate": 2.567902853783319e-05, + "loss": 0.8313, + "step": 20575 + }, + { + "epoch": 2.48, + "grad_norm": 0.26502034068107605, + "learning_rate": 2.562147933078859e-05, + "loss": 0.8097, + "step": 20580 + }, + { + "epoch": 2.48, + "grad_norm": 0.32918286323547363, + "learning_rate": 2.556398866040631e-05, + "loss": 0.8703, + "step": 20585 + }, + { + "epoch": 2.48, + "grad_norm": 0.3019461929798126, + "learning_rate": 2.5506556553743334e-05, + "loss": 0.8317, + "step": 20590 + }, + { + "epoch": 2.48, + "grad_norm": 0.28017765283584595, + "learning_rate": 2.5449183037829163e-05, + "loss": 0.8315, + "step": 20595 + }, + { + "epoch": 2.48, + "grad_norm": 0.31728842854499817, + "learning_rate": 2.5391868139665612e-05, + "loss": 0.8539, + "step": 20600 + }, + { + "epoch": 2.48, + "grad_norm": 0.26865053176879883, + "learning_rate": 2.533461188622707e-05, + "loss": 0.7489, + "step": 20605 + }, + { + "epoch": 2.48, + "grad_norm": 0.24447381496429443, + "learning_rate": 2.527741430446018e-05, + "loss": 0.7674, + "step": 20610 + }, + { + "epoch": 2.48, + "grad_norm": 0.3278535306453705, + "learning_rate": 2.5220275421284015e-05, + "loss": 0.7342, + "step": 20615 + }, + { + "epoch": 2.48, + "grad_norm": 0.30096837878227234, + "learning_rate": 2.5163195263590026e-05, + "loss": 0.7506, + "step": 20620 + }, + { + "epoch": 2.49, + "grad_norm": 0.28471359610557556, + "learning_rate": 2.5106173858242073e-05, + "loss": 0.7999, + "step": 20625 + }, + { + "epoch": 2.49, + "grad_norm": 0.2582080364227295, + "learning_rate": 2.5049211232076295e-05, + "loss": 0.8253, + "step": 20630 + }, + { + "epoch": 2.49, + "grad_norm": 0.2530338168144226, + "learning_rate": 2.499230741190121e-05, + "loss": 0.8581, + "step": 20635 + }, + { + "epoch": 2.49, + "grad_norm": 0.25447461009025574, + "learning_rate": 2.4935462424497576e-05, + "loss": 0.7793, + "step": 20640 + }, + { + "epoch": 2.49, + "grad_norm": 0.24925333261489868, + "learning_rate": 2.487867629661865e-05, + "loss": 0.7587, + "step": 20645 + }, + { + "epoch": 2.49, + "grad_norm": 0.2856590151786804, + "learning_rate": 2.4821949054989797e-05, + "loss": 0.7551, + "step": 20650 + }, + { + "epoch": 2.49, + "grad_norm": 0.2937513589859009, + "learning_rate": 2.476528072630875e-05, + "loss": 0.7448, + "step": 20655 + }, + { + "epoch": 2.49, + "grad_norm": 0.2708790600299835, + "learning_rate": 2.470867133724552e-05, + "loss": 0.7374, + "step": 20660 + }, + { + "epoch": 2.49, + "grad_norm": 0.2769574820995331, + "learning_rate": 2.4652120914442352e-05, + "loss": 0.8323, + "step": 20665 + }, + { + "epoch": 2.49, + "grad_norm": 0.2852955162525177, + "learning_rate": 2.459562948451375e-05, + "loss": 0.7135, + "step": 20670 + }, + { + "epoch": 2.49, + "grad_norm": 0.2564711272716522, + "learning_rate": 2.4539197074046467e-05, + "loss": 0.7752, + "step": 20675 + }, + { + "epoch": 2.49, + "grad_norm": 0.2757887840270996, + "learning_rate": 2.448282370959944e-05, + "loss": 0.7853, + "step": 20680 + }, + { + "epoch": 2.49, + "grad_norm": 0.2913254201412201, + "learning_rate": 2.44265094177039e-05, + "loss": 0.8027, + "step": 20685 + }, + { + "epoch": 2.49, + "grad_norm": 0.26618868112564087, + "learning_rate": 2.437025422486319e-05, + "loss": 0.7059, + "step": 20690 + }, + { + "epoch": 2.49, + "grad_norm": 0.24177007377147675, + "learning_rate": 2.4314058157552885e-05, + "loss": 0.7975, + "step": 20695 + }, + { + "epoch": 2.49, + "grad_norm": 0.26704952120780945, + "learning_rate": 2.4257921242220663e-05, + "loss": 0.751, + "step": 20700 + }, + { + "epoch": 2.49, + "grad_norm": 0.28091442584991455, + "learning_rate": 2.4201843505286507e-05, + "loss": 0.8622, + "step": 20705 + }, + { + "epoch": 2.5, + "grad_norm": 0.2535339891910553, + "learning_rate": 2.4145824973142435e-05, + "loss": 0.6663, + "step": 20710 + }, + { + "epoch": 2.5, + "grad_norm": 0.26714247465133667, + "learning_rate": 2.4089865672152613e-05, + "loss": 0.759, + "step": 20715 + }, + { + "epoch": 2.5, + "grad_norm": 0.2989547550678253, + "learning_rate": 2.4033965628653323e-05, + "loss": 0.8327, + "step": 20720 + }, + { + "epoch": 2.5, + "grad_norm": 0.270155131816864, + "learning_rate": 2.3978124868953037e-05, + "loss": 0.7935, + "step": 20725 + }, + { + "epoch": 2.5, + "grad_norm": 0.29163941740989685, + "learning_rate": 2.3922343419332247e-05, + "loss": 0.7799, + "step": 20730 + }, + { + "epoch": 2.5, + "grad_norm": 0.27277231216430664, + "learning_rate": 2.386662130604359e-05, + "loss": 0.7378, + "step": 20735 + }, + { + "epoch": 2.5, + "grad_norm": 0.308982253074646, + "learning_rate": 2.3810958555311647e-05, + "loss": 0.7067, + "step": 20740 + }, + { + "epoch": 2.5, + "grad_norm": 0.24645307660102844, + "learning_rate": 2.375535519333324e-05, + "loss": 0.6404, + "step": 20745 + }, + { + "epoch": 2.5, + "grad_norm": 0.30211979150772095, + "learning_rate": 2.3699811246277133e-05, + "loss": 0.7035, + "step": 20750 + }, + { + "epoch": 2.5, + "grad_norm": 0.27554258704185486, + "learning_rate": 2.3644326740284147e-05, + "loss": 0.8621, + "step": 20755 + }, + { + "epoch": 2.5, + "grad_norm": 0.24029062688350677, + "learning_rate": 2.358890170146711e-05, + "loss": 0.7073, + "step": 20760 + }, + { + "epoch": 2.5, + "grad_norm": 0.2912255525588989, + "learning_rate": 2.353353615591096e-05, + "loss": 0.7371, + "step": 20765 + }, + { + "epoch": 2.5, + "grad_norm": 0.29591822624206543, + "learning_rate": 2.3478230129672498e-05, + "loss": 0.6795, + "step": 20770 + }, + { + "epoch": 2.5, + "grad_norm": 0.274454802274704, + "learning_rate": 2.3422983648780606e-05, + "loss": 0.8204, + "step": 20775 + }, + { + "epoch": 2.5, + "grad_norm": 0.26619449257850647, + "learning_rate": 2.336779673923607e-05, + "loss": 0.8263, + "step": 20780 + }, + { + "epoch": 2.5, + "grad_norm": 0.2655404806137085, + "learning_rate": 2.3312669427011748e-05, + "loss": 0.8028, + "step": 20785 + }, + { + "epoch": 2.5, + "grad_norm": 0.2552018165588379, + "learning_rate": 2.3257601738052352e-05, + "loss": 0.8012, + "step": 20790 + }, + { + "epoch": 2.51, + "grad_norm": 0.2989104390144348, + "learning_rate": 2.3202593698274546e-05, + "loss": 0.8466, + "step": 20795 + }, + { + "epoch": 2.51, + "grad_norm": 0.25715914368629456, + "learning_rate": 2.3147645333566977e-05, + "loss": 0.7009, + "step": 20800 + }, + { + "epoch": 2.51, + "grad_norm": 0.29836973547935486, + "learning_rate": 2.309275666979014e-05, + "loss": 0.7897, + "step": 20805 + }, + { + "epoch": 2.51, + "grad_norm": 0.28271016478538513, + "learning_rate": 2.3037927732776472e-05, + "loss": 0.7738, + "step": 20810 + }, + { + "epoch": 2.51, + "grad_norm": 0.31232964992523193, + "learning_rate": 2.29831585483303e-05, + "loss": 0.7341, + "step": 20815 + }, + { + "epoch": 2.51, + "grad_norm": 0.29633277654647827, + "learning_rate": 2.292844914222777e-05, + "loss": 0.8116, + "step": 20820 + }, + { + "epoch": 2.51, + "grad_norm": 0.2850092649459839, + "learning_rate": 2.287379954021703e-05, + "loss": 0.7608, + "step": 20825 + }, + { + "epoch": 2.51, + "grad_norm": 0.2637297809123993, + "learning_rate": 2.2819209768017965e-05, + "loss": 0.7451, + "step": 20830 + }, + { + "epoch": 2.51, + "grad_norm": 0.239261195063591, + "learning_rate": 2.276467985132232e-05, + "loss": 0.8302, + "step": 20835 + }, + { + "epoch": 2.51, + "grad_norm": 0.3218871057033539, + "learning_rate": 2.271020981579365e-05, + "loss": 0.7533, + "step": 20840 + }, + { + "epoch": 2.51, + "grad_norm": 0.26522281765937805, + "learning_rate": 2.265579968706745e-05, + "loss": 0.6176, + "step": 20845 + }, + { + "epoch": 2.51, + "grad_norm": 0.3309444189071655, + "learning_rate": 2.2601449490750867e-05, + "loss": 0.68, + "step": 20850 + }, + { + "epoch": 2.51, + "grad_norm": 0.295600026845932, + "learning_rate": 2.254715925242294e-05, + "loss": 0.7778, + "step": 20855 + }, + { + "epoch": 2.51, + "grad_norm": 0.27975109219551086, + "learning_rate": 2.249292899763442e-05, + "loss": 0.8367, + "step": 20860 + }, + { + "epoch": 2.51, + "grad_norm": 0.301899790763855, + "learning_rate": 2.2438758751907933e-05, + "loss": 0.7383, + "step": 20865 + }, + { + "epoch": 2.51, + "grad_norm": 0.2855704724788666, + "learning_rate": 2.2384648540737736e-05, + "loss": 0.8029, + "step": 20870 + }, + { + "epoch": 2.52, + "grad_norm": 0.31557753682136536, + "learning_rate": 2.2330598389589915e-05, + "loss": 0.7673, + "step": 20875 + }, + { + "epoch": 2.52, + "grad_norm": 0.2771788239479065, + "learning_rate": 2.2276608323902266e-05, + "loss": 0.7175, + "step": 20880 + }, + { + "epoch": 2.52, + "grad_norm": 0.305113285779953, + "learning_rate": 2.22226783690843e-05, + "loss": 0.7742, + "step": 20885 + }, + { + "epoch": 2.52, + "grad_norm": 0.24871449172496796, + "learning_rate": 2.216880855051725e-05, + "loss": 0.678, + "step": 20890 + }, + { + "epoch": 2.52, + "grad_norm": 0.2921499013900757, + "learning_rate": 2.2114998893554042e-05, + "loss": 0.7413, + "step": 20895 + }, + { + "epoch": 2.52, + "grad_norm": 0.3036426603794098, + "learning_rate": 2.2061249423519244e-05, + "loss": 0.7398, + "step": 20900 + }, + { + "epoch": 2.52, + "grad_norm": 0.27135762572288513, + "learning_rate": 2.200756016570922e-05, + "loss": 0.7812, + "step": 20905 + }, + { + "epoch": 2.52, + "grad_norm": 0.2812870442867279, + "learning_rate": 2.1953931145391872e-05, + "loss": 0.7961, + "step": 20910 + }, + { + "epoch": 2.52, + "grad_norm": 0.3006354570388794, + "learning_rate": 2.1900362387806812e-05, + "loss": 0.7816, + "step": 20915 + }, + { + "epoch": 2.52, + "grad_norm": 0.27853453159332275, + "learning_rate": 2.1846853918165223e-05, + "loss": 0.7039, + "step": 20920 + }, + { + "epoch": 2.52, + "grad_norm": 0.29205799102783203, + "learning_rate": 2.1793405761650062e-05, + "loss": 0.8397, + "step": 20925 + }, + { + "epoch": 2.52, + "grad_norm": 0.27953484654426575, + "learning_rate": 2.1740017943415754e-05, + "loss": 0.8072, + "step": 20930 + }, + { + "epoch": 2.52, + "grad_norm": 0.3323310315608978, + "learning_rate": 2.1686690488588387e-05, + "loss": 0.7661, + "step": 20935 + }, + { + "epoch": 2.52, + "grad_norm": 0.33003172278404236, + "learning_rate": 2.16334234222656e-05, + "loss": 0.7778, + "step": 20940 + }, + { + "epoch": 2.52, + "grad_norm": 0.24858631193637848, + "learning_rate": 2.1580216769516738e-05, + "loss": 0.914, + "step": 20945 + }, + { + "epoch": 2.52, + "grad_norm": 0.2743765115737915, + "learning_rate": 2.152707055538251e-05, + "loss": 0.9042, + "step": 20950 + }, + { + "epoch": 2.52, + "grad_norm": 0.283892959356308, + "learning_rate": 2.1473984804875332e-05, + "loss": 0.8793, + "step": 20955 + }, + { + "epoch": 2.53, + "grad_norm": 0.28925827145576477, + "learning_rate": 2.1420959542979095e-05, + "loss": 0.7409, + "step": 20960 + }, + { + "epoch": 2.53, + "grad_norm": 0.24598172307014465, + "learning_rate": 2.1367994794649312e-05, + "loss": 0.7843, + "step": 20965 + }, + { + "epoch": 2.53, + "grad_norm": 0.2719762623310089, + "learning_rate": 2.1315090584812917e-05, + "loss": 0.9156, + "step": 20970 + }, + { + "epoch": 2.53, + "grad_norm": 0.29581862688064575, + "learning_rate": 2.126224693836837e-05, + "loss": 0.7598, + "step": 20975 + }, + { + "epoch": 2.53, + "grad_norm": 0.27417975664138794, + "learning_rate": 2.120946388018565e-05, + "loss": 0.8218, + "step": 20980 + }, + { + "epoch": 2.53, + "grad_norm": 0.27194756269454956, + "learning_rate": 2.115674143510625e-05, + "loss": 0.8978, + "step": 20985 + }, + { + "epoch": 2.53, + "grad_norm": 0.27011337876319885, + "learning_rate": 2.1104079627943087e-05, + "loss": 0.8051, + "step": 20990 + }, + { + "epoch": 2.53, + "grad_norm": 0.26955413818359375, + "learning_rate": 2.1051478483480555e-05, + "loss": 0.7435, + "step": 20995 + }, + { + "epoch": 2.53, + "grad_norm": 0.26142939925193787, + "learning_rate": 2.099893802647445e-05, + "loss": 0.7034, + "step": 21000 + }, + { + "epoch": 2.53, + "grad_norm": 0.27008065581321716, + "learning_rate": 2.0946458281652155e-05, + "loss": 0.7948, + "step": 21005 + }, + { + "epoch": 2.53, + "grad_norm": 0.2838139235973358, + "learning_rate": 2.089403927371232e-05, + "loss": 0.7694, + "step": 21010 + }, + { + "epoch": 2.53, + "grad_norm": 0.2932431399822235, + "learning_rate": 2.0841681027325075e-05, + "loss": 0.8528, + "step": 21015 + }, + { + "epoch": 2.53, + "grad_norm": 0.28293853998184204, + "learning_rate": 2.0789383567131955e-05, + "loss": 0.7757, + "step": 21020 + }, + { + "epoch": 2.53, + "grad_norm": 0.27947354316711426, + "learning_rate": 2.0737146917745878e-05, + "loss": 0.7972, + "step": 21025 + }, + { + "epoch": 2.53, + "grad_norm": 0.2797410190105438, + "learning_rate": 2.0684971103751158e-05, + "loss": 0.8079, + "step": 21030 + }, + { + "epoch": 2.53, + "grad_norm": 0.2733669877052307, + "learning_rate": 2.0632856149703454e-05, + "loss": 0.7684, + "step": 21035 + }, + { + "epoch": 2.54, + "grad_norm": 0.2936958074569702, + "learning_rate": 2.0580802080129744e-05, + "loss": 0.7623, + "step": 21040 + }, + { + "epoch": 2.54, + "grad_norm": 0.2874435782432556, + "learning_rate": 2.05288089195285e-05, + "loss": 0.752, + "step": 21045 + }, + { + "epoch": 2.54, + "grad_norm": 0.2876211404800415, + "learning_rate": 2.0476876692369398e-05, + "loss": 0.7191, + "step": 21050 + }, + { + "epoch": 2.54, + "grad_norm": 0.3623277544975281, + "learning_rate": 2.0425005423093437e-05, + "loss": 0.7588, + "step": 21055 + }, + { + "epoch": 2.54, + "grad_norm": 0.30501341819763184, + "learning_rate": 2.037319513611294e-05, + "loss": 0.723, + "step": 21060 + }, + { + "epoch": 2.54, + "grad_norm": 0.29336845874786377, + "learning_rate": 2.0321445855811635e-05, + "loss": 0.8807, + "step": 21065 + }, + { + "epoch": 2.54, + "grad_norm": 0.285491019487381, + "learning_rate": 2.026975760654439e-05, + "loss": 0.8104, + "step": 21070 + }, + { + "epoch": 2.54, + "grad_norm": 0.27054548263549805, + "learning_rate": 2.0218130412637397e-05, + "loss": 0.7187, + "step": 21075 + }, + { + "epoch": 2.54, + "grad_norm": 0.28753402829170227, + "learning_rate": 2.0166564298388182e-05, + "loss": 0.8717, + "step": 21080 + }, + { + "epoch": 2.54, + "grad_norm": 0.25017327070236206, + "learning_rate": 2.0115059288065437e-05, + "loss": 0.7553, + "step": 21085 + }, + { + "epoch": 2.54, + "grad_norm": 0.2623300850391388, + "learning_rate": 2.006361540590914e-05, + "loss": 0.8769, + "step": 21090 + }, + { + "epoch": 2.54, + "grad_norm": 0.2736659348011017, + "learning_rate": 2.0012232676130503e-05, + "loss": 0.8399, + "step": 21095 + }, + { + "epoch": 2.54, + "grad_norm": 0.3095528483390808, + "learning_rate": 1.9960911122911915e-05, + "loss": 0.6941, + "step": 21100 + }, + { + "epoch": 2.54, + "grad_norm": 0.2801484763622284, + "learning_rate": 1.990965077040701e-05, + "loss": 0.8403, + "step": 21105 + }, + { + "epoch": 2.54, + "grad_norm": 0.3449302017688751, + "learning_rate": 1.9858451642740637e-05, + "loss": 0.7571, + "step": 21110 + }, + { + "epoch": 2.54, + "grad_norm": 0.27275073528289795, + "learning_rate": 1.9807313764008738e-05, + "loss": 0.8058, + "step": 21115 + }, + { + "epoch": 2.54, + "grad_norm": 0.3031749129295349, + "learning_rate": 1.9756237158278593e-05, + "loss": 0.7587, + "step": 21120 + }, + { + "epoch": 2.55, + "grad_norm": 0.27661368250846863, + "learning_rate": 1.9705221849588493e-05, + "loss": 0.8447, + "step": 21125 + }, + { + "epoch": 2.55, + "grad_norm": 0.3269336223602295, + "learning_rate": 1.9654267861947946e-05, + "loss": 0.8247, + "step": 21130 + }, + { + "epoch": 2.55, + "grad_norm": 0.2593838572502136, + "learning_rate": 1.9603375219337573e-05, + "loss": 0.8053, + "step": 21135 + }, + { + "epoch": 2.55, + "grad_norm": 0.2844938039779663, + "learning_rate": 1.9552543945709183e-05, + "loss": 0.8455, + "step": 21140 + }, + { + "epoch": 2.55, + "grad_norm": 0.28493261337280273, + "learning_rate": 1.950177406498563e-05, + "loss": 0.8471, + "step": 21145 + }, + { + "epoch": 2.55, + "grad_norm": 0.2901061773300171, + "learning_rate": 1.9451065601060927e-05, + "loss": 0.6899, + "step": 21150 + }, + { + "epoch": 2.55, + "grad_norm": 0.27742087841033936, + "learning_rate": 1.9400418577800148e-05, + "loss": 0.7318, + "step": 21155 + }, + { + "epoch": 2.55, + "grad_norm": 0.2615971565246582, + "learning_rate": 1.9349833019039457e-05, + "loss": 0.8078, + "step": 21160 + }, + { + "epoch": 2.55, + "grad_norm": 0.3021378219127655, + "learning_rate": 1.929930894858611e-05, + "loss": 0.812, + "step": 21165 + }, + { + "epoch": 2.55, + "grad_norm": 0.29150012135505676, + "learning_rate": 1.924884639021841e-05, + "loss": 0.9014, + "step": 21170 + }, + { + "epoch": 2.55, + "grad_norm": 0.2782303988933563, + "learning_rate": 1.9198445367685668e-05, + "loss": 0.7307, + "step": 21175 + }, + { + "epoch": 2.55, + "grad_norm": 0.26657816767692566, + "learning_rate": 1.914810590470836e-05, + "loss": 0.8146, + "step": 21180 + }, + { + "epoch": 2.55, + "grad_norm": 0.27062734961509705, + "learning_rate": 1.909782802497786e-05, + "loss": 0.8376, + "step": 21185 + }, + { + "epoch": 2.55, + "grad_norm": 0.3097752630710602, + "learning_rate": 1.9047611752156628e-05, + "loss": 0.7168, + "step": 21190 + }, + { + "epoch": 2.55, + "grad_norm": 0.2954844534397125, + "learning_rate": 1.8997457109878067e-05, + "loss": 0.6942, + "step": 21195 + }, + { + "epoch": 2.55, + "grad_norm": 0.29877805709838867, + "learning_rate": 1.8947364121746677e-05, + "loss": 0.7444, + "step": 21200 + }, + { + "epoch": 2.55, + "grad_norm": 0.303915798664093, + "learning_rate": 1.8897332811337868e-05, + "loss": 0.7517, + "step": 21205 + }, + { + "epoch": 2.56, + "grad_norm": 0.2891033887863159, + "learning_rate": 1.8847363202198017e-05, + "loss": 0.7324, + "step": 21210 + }, + { + "epoch": 2.56, + "grad_norm": 0.27175503969192505, + "learning_rate": 1.8797455317844452e-05, + "loss": 0.7523, + "step": 21215 + }, + { + "epoch": 2.56, + "grad_norm": 0.32238414883613586, + "learning_rate": 1.8747609181765543e-05, + "loss": 0.7668, + "step": 21220 + }, + { + "epoch": 2.56, + "grad_norm": 0.28903838992118835, + "learning_rate": 1.8697824817420514e-05, + "loss": 0.796, + "step": 21225 + }, + { + "epoch": 2.56, + "grad_norm": 0.25564032793045044, + "learning_rate": 1.8648102248239537e-05, + "loss": 0.8034, + "step": 21230 + }, + { + "epoch": 2.56, + "grad_norm": 0.30182021856307983, + "learning_rate": 1.859844149762371e-05, + "loss": 0.7384, + "step": 21235 + }, + { + "epoch": 2.56, + "grad_norm": 0.33114859461784363, + "learning_rate": 1.8548842588945023e-05, + "loss": 0.8908, + "step": 21240 + }, + { + "epoch": 2.56, + "grad_norm": 0.2683655917644501, + "learning_rate": 1.8499305545546367e-05, + "loss": 0.7694, + "step": 21245 + }, + { + "epoch": 2.56, + "grad_norm": 0.30291497707366943, + "learning_rate": 1.8449830390741526e-05, + "loss": 0.8817, + "step": 21250 + }, + { + "epoch": 2.56, + "grad_norm": 0.2633529007434845, + "learning_rate": 1.840041714781511e-05, + "loss": 0.737, + "step": 21255 + }, + { + "epoch": 2.56, + "grad_norm": 0.27262598276138306, + "learning_rate": 1.8351065840022715e-05, + "loss": 0.7905, + "step": 21260 + }, + { + "epoch": 2.56, + "grad_norm": 0.28199708461761475, + "learning_rate": 1.8301776490590664e-05, + "loss": 0.7542, + "step": 21265 + }, + { + "epoch": 2.56, + "grad_norm": 0.3084707260131836, + "learning_rate": 1.8252549122716147e-05, + "loss": 0.6572, + "step": 21270 + }, + { + "epoch": 2.56, + "grad_norm": 0.27886369824409485, + "learning_rate": 1.8203383759567186e-05, + "loss": 0.7748, + "step": 21275 + }, + { + "epoch": 2.56, + "grad_norm": 0.2864547669887543, + "learning_rate": 1.8154280424282685e-05, + "loss": 0.8352, + "step": 21280 + }, + { + "epoch": 2.56, + "grad_norm": 0.26778092980384827, + "learning_rate": 1.8105239139972277e-05, + "loss": 0.7049, + "step": 21285 + }, + { + "epoch": 2.57, + "grad_norm": 0.28581252694129944, + "learning_rate": 1.8056259929716417e-05, + "loss": 0.7679, + "step": 21290 + }, + { + "epoch": 2.57, + "grad_norm": 0.30422863364219666, + "learning_rate": 1.800734281656633e-05, + "loss": 0.7548, + "step": 21295 + }, + { + "epoch": 2.57, + "grad_norm": 0.2808743715286255, + "learning_rate": 1.7958487823544082e-05, + "loss": 0.7986, + "step": 21300 + }, + { + "epoch": 2.57, + "grad_norm": 0.3032390773296356, + "learning_rate": 1.790969497364242e-05, + "loss": 0.8185, + "step": 21305 + }, + { + "epoch": 2.57, + "grad_norm": 0.2701072096824646, + "learning_rate": 1.7860964289824885e-05, + "loss": 0.7967, + "step": 21310 + }, + { + "epoch": 2.57, + "grad_norm": 0.28802967071533203, + "learning_rate": 1.7812295795025773e-05, + "loss": 0.7764, + "step": 21315 + }, + { + "epoch": 2.57, + "grad_norm": 0.2924157381057739, + "learning_rate": 1.776368951215007e-05, + "loss": 0.7171, + "step": 21320 + }, + { + "epoch": 2.57, + "grad_norm": 0.2745770812034607, + "learning_rate": 1.7715145464073498e-05, + "loss": 0.806, + "step": 21325 + }, + { + "epoch": 2.57, + "grad_norm": 0.2635575830936432, + "learning_rate": 1.7666663673642535e-05, + "loss": 0.7911, + "step": 21330 + }, + { + "epoch": 2.57, + "grad_norm": 0.2602815330028534, + "learning_rate": 1.761824416367427e-05, + "loss": 0.8123, + "step": 21335 + }, + { + "epoch": 2.57, + "grad_norm": 0.30612412095069885, + "learning_rate": 1.7569886956956585e-05, + "loss": 0.8126, + "step": 21340 + }, + { + "epoch": 2.57, + "grad_norm": 0.2764699161052704, + "learning_rate": 1.752159207624797e-05, + "loss": 0.8279, + "step": 21345 + }, + { + "epoch": 2.57, + "grad_norm": 0.2635042667388916, + "learning_rate": 1.7473359544277594e-05, + "loss": 0.6854, + "step": 21350 + }, + { + "epoch": 2.57, + "grad_norm": 0.25210273265838623, + "learning_rate": 1.7425189383745265e-05, + "loss": 0.8533, + "step": 21355 + }, + { + "epoch": 2.57, + "grad_norm": 0.26929739117622375, + "learning_rate": 1.7377081617321513e-05, + "loss": 0.7162, + "step": 21360 + }, + { + "epoch": 2.57, + "grad_norm": 0.27640727162361145, + "learning_rate": 1.7329036267647417e-05, + "loss": 0.7429, + "step": 21365 + }, + { + "epoch": 2.57, + "grad_norm": 0.2647760510444641, + "learning_rate": 1.7281053357334717e-05, + "loss": 0.8501, + "step": 21370 + }, + { + "epoch": 2.58, + "grad_norm": 0.28919151425361633, + "learning_rate": 1.7233132908965784e-05, + "loss": 0.7655, + "step": 21375 + }, + { + "epoch": 2.58, + "grad_norm": 0.295827180147171, + "learning_rate": 1.7185274945093547e-05, + "loss": 0.8074, + "step": 21380 + }, + { + "epoch": 2.58, + "grad_norm": 0.2644157409667969, + "learning_rate": 1.713747948824155e-05, + "loss": 0.8458, + "step": 21385 + }, + { + "epoch": 2.58, + "grad_norm": 0.2902376055717468, + "learning_rate": 1.7089746560903956e-05, + "loss": 0.8744, + "step": 21390 + }, + { + "epoch": 2.58, + "grad_norm": 0.25895097851753235, + "learning_rate": 1.7042076185545388e-05, + "loss": 0.7331, + "step": 21395 + }, + { + "epoch": 2.58, + "grad_norm": 0.2989761233329773, + "learning_rate": 1.6994468384601206e-05, + "loss": 0.7485, + "step": 21400 + }, + { + "epoch": 2.58, + "grad_norm": 0.26505047082901, + "learning_rate": 1.6946923180477183e-05, + "loss": 0.7844, + "step": 21405 + }, + { + "epoch": 2.58, + "grad_norm": 0.26280462741851807, + "learning_rate": 1.6899440595549674e-05, + "loss": 0.7854, + "step": 21410 + }, + { + "epoch": 2.58, + "grad_norm": 0.2874717712402344, + "learning_rate": 1.6852020652165515e-05, + "loss": 0.7819, + "step": 21415 + }, + { + "epoch": 2.58, + "grad_norm": 0.28164345026016235, + "learning_rate": 1.6804663372642175e-05, + "loss": 0.7315, + "step": 21420 + }, + { + "epoch": 2.58, + "grad_norm": 0.2647458016872406, + "learning_rate": 1.6757368779267522e-05, + "loss": 0.8445, + "step": 21425 + }, + { + "epoch": 2.58, + "grad_norm": 0.26932641863822937, + "learning_rate": 1.6710136894299987e-05, + "loss": 0.763, + "step": 21430 + }, + { + "epoch": 2.58, + "grad_norm": 0.2817295491695404, + "learning_rate": 1.6662967739968402e-05, + "loss": 0.8031, + "step": 21435 + }, + { + "epoch": 2.58, + "grad_norm": 0.303753137588501, + "learning_rate": 1.661586133847223e-05, + "loss": 0.6969, + "step": 21440 + }, + { + "epoch": 2.58, + "grad_norm": 0.27712610363960266, + "learning_rate": 1.656881771198125e-05, + "loss": 0.8331, + "step": 21445 + }, + { + "epoch": 2.58, + "grad_norm": 0.28993546962738037, + "learning_rate": 1.6521836882635775e-05, + "loss": 0.7937, + "step": 21450 + }, + { + "epoch": 2.59, + "grad_norm": 0.2543039619922638, + "learning_rate": 1.6474918872546545e-05, + "loss": 0.7681, + "step": 21455 + }, + { + "epoch": 2.59, + "grad_norm": 0.3048137426376343, + "learning_rate": 1.6428063703794714e-05, + "loss": 0.8169, + "step": 21460 + }, + { + "epoch": 2.59, + "grad_norm": 0.30479833483695984, + "learning_rate": 1.6381271398431894e-05, + "loss": 0.7523, + "step": 21465 + }, + { + "epoch": 2.59, + "grad_norm": 0.311480849981308, + "learning_rate": 1.6334541978480087e-05, + "loss": 0.7312, + "step": 21470 + }, + { + "epoch": 2.59, + "grad_norm": 0.2890738844871521, + "learning_rate": 1.6287875465931698e-05, + "loss": 0.746, + "step": 21475 + }, + { + "epoch": 2.59, + "grad_norm": 0.2721187472343445, + "learning_rate": 1.624127188274958e-05, + "loss": 0.827, + "step": 21480 + }, + { + "epoch": 2.59, + "grad_norm": 0.2833477556705475, + "learning_rate": 1.61947312508669e-05, + "loss": 0.7932, + "step": 21485 + }, + { + "epoch": 2.59, + "grad_norm": 0.28032922744750977, + "learning_rate": 1.614825359218724e-05, + "loss": 0.7861, + "step": 21490 + }, + { + "epoch": 2.59, + "grad_norm": 0.2863568067550659, + "learning_rate": 1.6101838928584483e-05, + "loss": 0.6808, + "step": 21495 + }, + { + "epoch": 2.59, + "grad_norm": 0.31328871846199036, + "learning_rate": 1.6055487281902973e-05, + "loss": 0.8056, + "step": 21500 + }, + { + "epoch": 2.59, + "grad_norm": 0.28002050518989563, + "learning_rate": 1.6009198673957313e-05, + "loss": 0.84, + "step": 21505 + }, + { + "epoch": 2.59, + "grad_norm": 0.28880271315574646, + "learning_rate": 1.5962973126532457e-05, + "loss": 0.8734, + "step": 21510 + }, + { + "epoch": 2.59, + "grad_norm": 0.2959395945072174, + "learning_rate": 1.5916810661383638e-05, + "loss": 0.7527, + "step": 21515 + }, + { + "epoch": 2.59, + "grad_norm": 0.28988808393478394, + "learning_rate": 1.5870711300236527e-05, + "loss": 0.6993, + "step": 21520 + }, + { + "epoch": 2.59, + "grad_norm": 0.3125680983066559, + "learning_rate": 1.5824675064786968e-05, + "loss": 0.7884, + "step": 21525 + }, + { + "epoch": 2.59, + "grad_norm": 0.31437787413597107, + "learning_rate": 1.577870197670118e-05, + "loss": 0.6855, + "step": 21530 + }, + { + "epoch": 2.59, + "grad_norm": 0.2919071316719055, + "learning_rate": 1.573279205761554e-05, + "loss": 0.8805, + "step": 21535 + }, + { + "epoch": 2.6, + "grad_norm": 0.288947194814682, + "learning_rate": 1.5686945329136865e-05, + "loss": 0.7189, + "step": 21540 + }, + { + "epoch": 2.6, + "grad_norm": 0.28742465376853943, + "learning_rate": 1.5641161812842105e-05, + "loss": 0.8336, + "step": 21545 + }, + { + "epoch": 2.6, + "grad_norm": 0.2684331238269806, + "learning_rate": 1.5595441530278517e-05, + "loss": 0.7574, + "step": 21550 + }, + { + "epoch": 2.6, + "grad_norm": 0.29591086506843567, + "learning_rate": 1.5549784502963554e-05, + "loss": 0.7995, + "step": 21555 + }, + { + "epoch": 2.6, + "grad_norm": 0.25457319617271423, + "learning_rate": 1.5504190752384987e-05, + "loss": 0.7078, + "step": 21560 + }, + { + "epoch": 2.6, + "grad_norm": 0.28611642122268677, + "learning_rate": 1.5458660300000725e-05, + "loss": 0.7801, + "step": 21565 + }, + { + "epoch": 2.6, + "grad_norm": 0.2762448489665985, + "learning_rate": 1.5413193167238908e-05, + "loss": 0.7721, + "step": 21570 + }, + { + "epoch": 2.6, + "grad_norm": 0.29619264602661133, + "learning_rate": 1.5367789375497836e-05, + "loss": 0.8263, + "step": 21575 + }, + { + "epoch": 2.6, + "grad_norm": 0.27710941433906555, + "learning_rate": 1.5322448946146114e-05, + "loss": 0.9136, + "step": 21580 + }, + { + "epoch": 2.6, + "grad_norm": 0.2905004322528839, + "learning_rate": 1.5277171900522428e-05, + "loss": 0.7735, + "step": 21585 + }, + { + "epoch": 2.6, + "grad_norm": 0.26848629117012024, + "learning_rate": 1.5231958259935646e-05, + "loss": 0.7816, + "step": 21590 + }, + { + "epoch": 2.6, + "grad_norm": 0.28664660453796387, + "learning_rate": 1.5186808045664812e-05, + "loss": 0.7792, + "step": 21595 + }, + { + "epoch": 2.6, + "grad_norm": 0.3380061984062195, + "learning_rate": 1.5141721278959112e-05, + "loss": 0.7895, + "step": 21600 + }, + { + "epoch": 2.6, + "grad_norm": 0.26987069845199585, + "learning_rate": 1.5096697981037909e-05, + "loss": 0.7762, + "step": 21605 + }, + { + "epoch": 2.6, + "grad_norm": 0.2945181131362915, + "learning_rate": 1.5051738173090582e-05, + "loss": 0.7818, + "step": 21610 + }, + { + "epoch": 2.6, + "grad_norm": 0.30163273215293884, + "learning_rate": 1.500684187627681e-05, + "loss": 0.7005, + "step": 21615 + }, + { + "epoch": 2.6, + "grad_norm": 0.28872594237327576, + "learning_rate": 1.496200911172622e-05, + "loss": 0.7485, + "step": 21620 + }, + { + "epoch": 2.61, + "grad_norm": 0.2600472569465637, + "learning_rate": 1.491723990053862e-05, + "loss": 0.7653, + "step": 21625 + }, + { + "epoch": 2.61, + "grad_norm": 0.2789260745048523, + "learning_rate": 1.487253426378387e-05, + "loss": 0.6609, + "step": 21630 + }, + { + "epoch": 2.61, + "grad_norm": 0.23983633518218994, + "learning_rate": 1.482789222250194e-05, + "loss": 0.7225, + "step": 21635 + }, + { + "epoch": 2.61, + "grad_norm": 0.27560335397720337, + "learning_rate": 1.4783313797702878e-05, + "loss": 0.8625, + "step": 21640 + }, + { + "epoch": 2.61, + "grad_norm": 0.2681236267089844, + "learning_rate": 1.4738799010366747e-05, + "loss": 0.7163, + "step": 21645 + }, + { + "epoch": 2.61, + "grad_norm": 0.2975192070007324, + "learning_rate": 1.4694347881443659e-05, + "loss": 0.7637, + "step": 21650 + }, + { + "epoch": 2.61, + "grad_norm": 0.3074178397655487, + "learning_rate": 1.4649960431853842e-05, + "loss": 0.7499, + "step": 21655 + }, + { + "epoch": 2.61, + "grad_norm": 0.28553348779678345, + "learning_rate": 1.4605636682487486e-05, + "loss": 0.8284, + "step": 21660 + }, + { + "epoch": 2.61, + "grad_norm": 0.29183608293533325, + "learning_rate": 1.456137665420481e-05, + "loss": 0.7162, + "step": 21665 + }, + { + "epoch": 2.61, + "grad_norm": 0.2632047235965729, + "learning_rate": 1.4517180367836062e-05, + "loss": 0.8519, + "step": 21670 + }, + { + "epoch": 2.61, + "grad_norm": 0.28933554887771606, + "learning_rate": 1.4473047844181474e-05, + "loss": 0.7592, + "step": 21675 + }, + { + "epoch": 2.61, + "grad_norm": 0.30451327562332153, + "learning_rate": 1.4428979104011295e-05, + "loss": 0.7692, + "step": 21680 + }, + { + "epoch": 2.61, + "grad_norm": 0.27428263425827026, + "learning_rate": 1.4384974168065705e-05, + "loss": 0.7196, + "step": 21685 + }, + { + "epoch": 2.61, + "grad_norm": 0.2668101191520691, + "learning_rate": 1.4341033057054885e-05, + "loss": 0.7442, + "step": 21690 + }, + { + "epoch": 2.61, + "grad_norm": 0.27039745450019836, + "learning_rate": 1.4297155791659044e-05, + "loss": 0.7293, + "step": 21695 + }, + { + "epoch": 2.61, + "grad_norm": 0.2836028039455414, + "learning_rate": 1.4253342392528227e-05, + "loss": 0.8122, + "step": 21700 + }, + { + "epoch": 2.62, + "grad_norm": 0.26885733008384705, + "learning_rate": 1.4209592880282494e-05, + "loss": 0.6921, + "step": 21705 + }, + { + "epoch": 2.62, + "grad_norm": 0.274857759475708, + "learning_rate": 1.4165907275511773e-05, + "loss": 0.7754, + "step": 21710 + }, + { + "epoch": 2.62, + "grad_norm": 0.29404956102371216, + "learning_rate": 1.4122285598776035e-05, + "loss": 0.7997, + "step": 21715 + }, + { + "epoch": 2.62, + "grad_norm": 0.29239895939826965, + "learning_rate": 1.4078727870605056e-05, + "loss": 0.6922, + "step": 21720 + }, + { + "epoch": 2.62, + "grad_norm": 0.2807917892932892, + "learning_rate": 1.4035234111498539e-05, + "loss": 0.8521, + "step": 21725 + }, + { + "epoch": 2.62, + "grad_norm": 0.26643988490104675, + "learning_rate": 1.3991804341926077e-05, + "loss": 0.8503, + "step": 21730 + }, + { + "epoch": 2.62, + "grad_norm": 0.2644132375717163, + "learning_rate": 1.394843858232722e-05, + "loss": 0.7678, + "step": 21735 + }, + { + "epoch": 2.62, + "grad_norm": 0.2644047141075134, + "learning_rate": 1.390513685311131e-05, + "loss": 0.8423, + "step": 21740 + }, + { + "epoch": 2.62, + "grad_norm": 0.2851656675338745, + "learning_rate": 1.3861899174657542e-05, + "loss": 0.7707, + "step": 21745 + }, + { + "epoch": 2.62, + "grad_norm": 0.2632659673690796, + "learning_rate": 1.381872556731501e-05, + "loss": 0.8024, + "step": 21750 + }, + { + "epoch": 2.62, + "grad_norm": 0.2766389846801758, + "learning_rate": 1.3775616051402689e-05, + "loss": 0.7274, + "step": 21755 + }, + { + "epoch": 2.62, + "grad_norm": 0.3009210228919983, + "learning_rate": 1.3732570647209334e-05, + "loss": 0.6989, + "step": 21760 + }, + { + "epoch": 2.62, + "grad_norm": 0.2986798584461212, + "learning_rate": 1.3689589374993526e-05, + "loss": 0.7043, + "step": 21765 + }, + { + "epoch": 2.62, + "grad_norm": 0.2332366406917572, + "learning_rate": 1.3646672254983649e-05, + "loss": 0.7085, + "step": 21770 + }, + { + "epoch": 2.62, + "grad_norm": 0.2506479322910309, + "learning_rate": 1.3603819307378011e-05, + "loss": 0.8323, + "step": 21775 + }, + { + "epoch": 2.62, + "grad_norm": 0.2667887806892395, + "learning_rate": 1.3561030552344566e-05, + "loss": 0.8099, + "step": 21780 + }, + { + "epoch": 2.62, + "grad_norm": 0.26609328389167786, + "learning_rate": 1.3518306010021152e-05, + "loss": 0.805, + "step": 21785 + }, + { + "epoch": 2.63, + "grad_norm": 0.2911878824234009, + "learning_rate": 1.3475645700515319e-05, + "loss": 0.8367, + "step": 21790 + }, + { + "epoch": 2.63, + "grad_norm": 0.2831841707229614, + "learning_rate": 1.3433049643904476e-05, + "loss": 0.8377, + "step": 21795 + }, + { + "epoch": 2.63, + "grad_norm": 0.2804235517978668, + "learning_rate": 1.3390517860235717e-05, + "loss": 0.8026, + "step": 21800 + }, + { + "epoch": 2.63, + "grad_norm": 0.28793367743492126, + "learning_rate": 1.3348050369525931e-05, + "loss": 0.7157, + "step": 21805 + }, + { + "epoch": 2.63, + "grad_norm": 0.28661012649536133, + "learning_rate": 1.3305647191761699e-05, + "loss": 0.729, + "step": 21810 + }, + { + "epoch": 2.63, + "grad_norm": 0.2898370027542114, + "learning_rate": 1.3263308346899371e-05, + "loss": 0.7045, + "step": 21815 + }, + { + "epoch": 2.63, + "grad_norm": 0.26269808411598206, + "learning_rate": 1.3221033854865027e-05, + "loss": 0.7042, + "step": 21820 + }, + { + "epoch": 2.63, + "grad_norm": 0.29441672563552856, + "learning_rate": 1.3178823735554434e-05, + "loss": 0.7476, + "step": 21825 + }, + { + "epoch": 2.63, + "grad_norm": 0.25631454586982727, + "learning_rate": 1.3136678008833069e-05, + "loss": 0.8577, + "step": 21830 + }, + { + "epoch": 2.63, + "grad_norm": 0.32068613171577454, + "learning_rate": 1.309459669453613e-05, + "loss": 0.8105, + "step": 21835 + }, + { + "epoch": 2.63, + "grad_norm": 0.23884128034114838, + "learning_rate": 1.3052579812468494e-05, + "loss": 0.7782, + "step": 21840 + }, + { + "epoch": 2.63, + "grad_norm": 0.3259485363960266, + "learning_rate": 1.3010627382404675e-05, + "loss": 0.8539, + "step": 21845 + }, + { + "epoch": 2.63, + "grad_norm": 0.30076032876968384, + "learning_rate": 1.2968739424088848e-05, + "loss": 0.818, + "step": 21850 + }, + { + "epoch": 2.63, + "grad_norm": 0.26317545771598816, + "learning_rate": 1.2926915957234957e-05, + "loss": 0.766, + "step": 21855 + }, + { + "epoch": 2.63, + "grad_norm": 0.23999077081680298, + "learning_rate": 1.2885157001526459e-05, + "loss": 0.7286, + "step": 21860 + }, + { + "epoch": 2.63, + "grad_norm": 0.23871669173240662, + "learning_rate": 1.2843462576616531e-05, + "loss": 0.7398, + "step": 21865 + }, + { + "epoch": 2.64, + "grad_norm": 0.25987398624420166, + "learning_rate": 1.2801832702127912e-05, + "loss": 0.7984, + "step": 21870 + }, + { + "epoch": 2.64, + "grad_norm": 0.25374579429626465, + "learning_rate": 1.2760267397653063e-05, + "loss": 0.7778, + "step": 21875 + }, + { + "epoch": 2.64, + "grad_norm": 0.3066677749156952, + "learning_rate": 1.2718766682753966e-05, + "loss": 0.8205, + "step": 21880 + }, + { + "epoch": 2.64, + "grad_norm": 0.2812236547470093, + "learning_rate": 1.2677330576962235e-05, + "loss": 0.8151, + "step": 21885 + }, + { + "epoch": 2.64, + "grad_norm": 0.2993893027305603, + "learning_rate": 1.263595909977907e-05, + "loss": 0.7551, + "step": 21890 + }, + { + "epoch": 2.64, + "grad_norm": 0.2752331495285034, + "learning_rate": 1.2594652270675293e-05, + "loss": 0.8551, + "step": 21895 + }, + { + "epoch": 2.64, + "grad_norm": 0.29263609647750854, + "learning_rate": 1.2553410109091221e-05, + "loss": 0.846, + "step": 21900 + }, + { + "epoch": 2.64, + "grad_norm": 0.28177276253700256, + "learning_rate": 1.251223263443683e-05, + "loss": 0.7788, + "step": 21905 + }, + { + "epoch": 2.64, + "grad_norm": 0.3226982355117798, + "learning_rate": 1.2479337242326714e-05, + "loss": 0.7536, + "step": 21910 + }, + { + "epoch": 2.64, + "grad_norm": 0.29417189955711365, + "learning_rate": 1.2438276252961555e-05, + "loss": 0.7601, + "step": 21915 + }, + { + "epoch": 2.64, + "grad_norm": 0.26856791973114014, + "learning_rate": 1.2397280004711845e-05, + "loss": 0.719, + "step": 21920 + }, + { + "epoch": 2.64, + "grad_norm": 0.2941911518573761, + "learning_rate": 1.2356348516871839e-05, + "loss": 0.8129, + "step": 21925 + }, + { + "epoch": 2.64, + "grad_norm": 0.3045237064361572, + "learning_rate": 1.2315481808705224e-05, + "loss": 0.8177, + "step": 21930 + }, + { + "epoch": 2.64, + "grad_norm": 0.26458317041397095, + "learning_rate": 1.2274679899445234e-05, + "loss": 0.8406, + "step": 21935 + }, + { + "epoch": 2.64, + "grad_norm": 0.3065710663795471, + "learning_rate": 1.2233942808294573e-05, + "loss": 0.7369, + "step": 21940 + }, + { + "epoch": 2.64, + "grad_norm": 0.28398415446281433, + "learning_rate": 1.2193270554425521e-05, + "loss": 0.8903, + "step": 21945 + }, + { + "epoch": 2.64, + "grad_norm": 0.29608169198036194, + "learning_rate": 1.215266315697977e-05, + "loss": 0.7931, + "step": 21950 + }, + { + "epoch": 2.65, + "grad_norm": 0.2909848093986511, + "learning_rate": 1.2112120635068495e-05, + "loss": 0.8049, + "step": 21955 + }, + { + "epoch": 2.65, + "grad_norm": 0.28937968611717224, + "learning_rate": 1.2071643007772353e-05, + "loss": 0.7373, + "step": 21960 + }, + { + "epoch": 2.65, + "grad_norm": 0.2677673399448395, + "learning_rate": 1.2031230294141486e-05, + "loss": 0.7057, + "step": 21965 + }, + { + "epoch": 2.65, + "grad_norm": 0.27190762758255005, + "learning_rate": 1.199088251319545e-05, + "loss": 0.7522, + "step": 21970 + }, + { + "epoch": 2.65, + "grad_norm": 0.2613365650177002, + "learning_rate": 1.1950599683923234e-05, + "loss": 0.8177, + "step": 21975 + }, + { + "epoch": 2.65, + "grad_norm": 0.27314963936805725, + "learning_rate": 1.1910381825283294e-05, + "loss": 0.7326, + "step": 21980 + }, + { + "epoch": 2.65, + "grad_norm": 0.23859882354736328, + "learning_rate": 1.1870228956203487e-05, + "loss": 0.7208, + "step": 21985 + }, + { + "epoch": 2.65, + "grad_norm": 0.2868862450122833, + "learning_rate": 1.183014109558108e-05, + "loss": 0.7957, + "step": 21990 + }, + { + "epoch": 2.65, + "grad_norm": 0.2559562027454376, + "learning_rate": 1.1790118262282715e-05, + "loss": 0.7123, + "step": 21995 + }, + { + "epoch": 2.65, + "grad_norm": 0.30129274725914, + "learning_rate": 1.1750160475144543e-05, + "loss": 0.7947, + "step": 22000 + }, + { + "epoch": 2.65, + "grad_norm": 0.26090654730796814, + "learning_rate": 1.171026775297197e-05, + "loss": 0.6892, + "step": 22005 + }, + { + "epoch": 2.65, + "grad_norm": 0.28930899500846863, + "learning_rate": 1.1670440114539858e-05, + "loss": 0.6845, + "step": 22010 + }, + { + "epoch": 2.65, + "grad_norm": 0.3468032777309418, + "learning_rate": 1.1630677578592401e-05, + "loss": 0.7648, + "step": 22015 + }, + { + "epoch": 2.65, + "grad_norm": 0.2959340810775757, + "learning_rate": 1.1590980163843194e-05, + "loss": 0.8748, + "step": 22020 + }, + { + "epoch": 2.65, + "grad_norm": 0.28836220502853394, + "learning_rate": 1.1551347888975126e-05, + "loss": 0.7935, + "step": 22025 + }, + { + "epoch": 2.65, + "grad_norm": 0.29400843381881714, + "learning_rate": 1.1511780772640494e-05, + "loss": 0.8172, + "step": 22030 + }, + { + "epoch": 2.65, + "grad_norm": 0.28731659054756165, + "learning_rate": 1.1472278833460886e-05, + "loss": 0.7621, + "step": 22035 + }, + { + "epoch": 2.66, + "grad_norm": 0.26251596212387085, + "learning_rate": 1.1432842090027227e-05, + "loss": 0.7288, + "step": 22040 + }, + { + "epoch": 2.66, + "grad_norm": 0.2831023037433624, + "learning_rate": 1.1393470560899742e-05, + "loss": 0.799, + "step": 22045 + }, + { + "epoch": 2.66, + "grad_norm": 0.28475290536880493, + "learning_rate": 1.135416426460799e-05, + "loss": 0.8506, + "step": 22050 + }, + { + "epoch": 2.66, + "grad_norm": 0.31778624653816223, + "learning_rate": 1.1314923219650807e-05, + "loss": 0.7712, + "step": 22055 + }, + { + "epoch": 2.66, + "grad_norm": 0.28575217723846436, + "learning_rate": 1.1275747444496353e-05, + "loss": 0.783, + "step": 22060 + }, + { + "epoch": 2.66, + "grad_norm": 0.3009990155696869, + "learning_rate": 1.1236636957582062e-05, + "loss": 0.7318, + "step": 22065 + }, + { + "epoch": 2.66, + "grad_norm": 0.27844470739364624, + "learning_rate": 1.1197591777314597e-05, + "loss": 0.8126, + "step": 22070 + }, + { + "epoch": 2.66, + "grad_norm": 0.2680925130844116, + "learning_rate": 1.1158611922069904e-05, + "loss": 0.7173, + "step": 22075 + }, + { + "epoch": 2.66, + "grad_norm": 0.2805362343788147, + "learning_rate": 1.1119697410193246e-05, + "loss": 0.8169, + "step": 22080 + }, + { + "epoch": 2.66, + "grad_norm": 0.2496698796749115, + "learning_rate": 1.1080848259999054e-05, + "loss": 0.7369, + "step": 22085 + }, + { + "epoch": 2.66, + "grad_norm": 0.2835550606250763, + "learning_rate": 1.1042064489771035e-05, + "loss": 0.7064, + "step": 22090 + }, + { + "epoch": 2.66, + "grad_norm": 0.29828065633773804, + "learning_rate": 1.100334611776209e-05, + "loss": 0.7352, + "step": 22095 + }, + { + "epoch": 2.66, + "grad_norm": 0.28538069128990173, + "learning_rate": 1.0964693162194427e-05, + "loss": 0.6496, + "step": 22100 + }, + { + "epoch": 2.66, + "grad_norm": 0.2641838490962982, + "learning_rate": 1.0926105641259392e-05, + "loss": 0.7463, + "step": 22105 + }, + { + "epoch": 2.66, + "grad_norm": 0.2766837775707245, + "learning_rate": 1.0887583573117526e-05, + "loss": 0.806, + "step": 22110 + }, + { + "epoch": 2.66, + "grad_norm": 0.28771060705184937, + "learning_rate": 1.0849126975898626e-05, + "loss": 0.9518, + "step": 22115 + }, + { + "epoch": 2.67, + "grad_norm": 0.2707420587539673, + "learning_rate": 1.0810735867701614e-05, + "loss": 0.7166, + "step": 22120 + }, + { + "epoch": 2.67, + "grad_norm": 0.2899439036846161, + "learning_rate": 1.077241026659464e-05, + "loss": 0.7041, + "step": 22125 + }, + { + "epoch": 2.67, + "grad_norm": 0.25429069995880127, + "learning_rate": 1.0734150190615005e-05, + "loss": 0.7543, + "step": 22130 + }, + { + "epoch": 2.67, + "grad_norm": 0.29701635241508484, + "learning_rate": 1.069595565776914e-05, + "loss": 0.7908, + "step": 22135 + }, + { + "epoch": 2.67, + "grad_norm": 0.27902600169181824, + "learning_rate": 1.06578266860327e-05, + "loss": 0.8859, + "step": 22140 + }, + { + "epoch": 2.67, + "grad_norm": 0.29597392678260803, + "learning_rate": 1.0619763293350447e-05, + "loss": 0.865, + "step": 22145 + }, + { + "epoch": 2.67, + "grad_norm": 0.24774394929409027, + "learning_rate": 1.0581765497636253e-05, + "loss": 0.767, + "step": 22150 + }, + { + "epoch": 2.67, + "grad_norm": 0.2774536907672882, + "learning_rate": 1.0543833316773127e-05, + "loss": 0.8292, + "step": 22155 + }, + { + "epoch": 2.67, + "grad_norm": 0.2544390857219696, + "learning_rate": 1.0505966768613273e-05, + "loss": 0.8584, + "step": 22160 + }, + { + "epoch": 2.67, + "grad_norm": 0.2902020215988159, + "learning_rate": 1.0468165870977901e-05, + "loss": 0.6859, + "step": 22165 + }, + { + "epoch": 2.67, + "grad_norm": 0.292767196893692, + "learning_rate": 1.0430430641657383e-05, + "loss": 0.8134, + "step": 22170 + }, + { + "epoch": 2.67, + "grad_norm": 0.2644735872745514, + "learning_rate": 1.0392761098411146e-05, + "loss": 0.6928, + "step": 22175 + }, + { + "epoch": 2.67, + "grad_norm": 0.26982855796813965, + "learning_rate": 1.0355157258967772e-05, + "loss": 0.7652, + "step": 22180 + }, + { + "epoch": 2.67, + "grad_norm": 0.2815554141998291, + "learning_rate": 1.0317619141024858e-05, + "loss": 0.8082, + "step": 22185 + }, + { + "epoch": 2.67, + "grad_norm": 0.25484582781791687, + "learning_rate": 1.028014676224907e-05, + "loss": 0.7836, + "step": 22190 + }, + { + "epoch": 2.67, + "grad_norm": 0.26840999722480774, + "learning_rate": 1.0242740140276185e-05, + "loss": 0.7332, + "step": 22195 + }, + { + "epoch": 2.67, + "grad_norm": 0.27440059185028076, + "learning_rate": 1.0205399292710969e-05, + "loss": 0.7333, + "step": 22200 + }, + { + "epoch": 2.68, + "grad_norm": 0.28358691930770874, + "learning_rate": 1.0168124237127301e-05, + "loss": 0.7612, + "step": 22205 + }, + { + "epoch": 2.68, + "grad_norm": 0.2975500226020813, + "learning_rate": 1.0130914991068028e-05, + "loss": 0.7863, + "step": 22210 + }, + { + "epoch": 2.68, + "grad_norm": 0.3028092682361603, + "learning_rate": 1.0093771572045045e-05, + "loss": 0.6993, + "step": 22215 + }, + { + "epoch": 2.68, + "grad_norm": 0.28230762481689453, + "learning_rate": 1.0056693997539317e-05, + "loss": 0.7698, + "step": 22220 + }, + { + "epoch": 2.68, + "grad_norm": 0.2743557393550873, + "learning_rate": 1.0019682285000785e-05, + "loss": 0.7347, + "step": 22225 + }, + { + "epoch": 2.68, + "grad_norm": 0.25398826599121094, + "learning_rate": 9.982736451848367e-06, + "loss": 0.7027, + "step": 22230 + }, + { + "epoch": 2.68, + "grad_norm": 0.2597667872905731, + "learning_rate": 9.94585651546997e-06, + "loss": 0.7767, + "step": 22235 + }, + { + "epoch": 2.68, + "grad_norm": 0.2996768355369568, + "learning_rate": 9.90904249322259e-06, + "loss": 0.8047, + "step": 22240 + }, + { + "epoch": 2.68, + "grad_norm": 0.3190852105617523, + "learning_rate": 9.872294402432074e-06, + "loss": 0.7218, + "step": 22245 + }, + { + "epoch": 2.68, + "grad_norm": 0.27263718843460083, + "learning_rate": 9.835612260393316e-06, + "loss": 0.8415, + "step": 22250 + }, + { + "epoch": 2.68, + "grad_norm": 0.29362040758132935, + "learning_rate": 9.798996084370143e-06, + "loss": 0.8255, + "step": 22255 + }, + { + "epoch": 2.68, + "grad_norm": 0.30126357078552246, + "learning_rate": 9.76244589159535e-06, + "loss": 0.726, + "step": 22260 + }, + { + "epoch": 2.68, + "grad_norm": 0.28834068775177, + "learning_rate": 9.725961699270662e-06, + "loss": 0.8232, + "step": 22265 + }, + { + "epoch": 2.68, + "grad_norm": 0.2588998079299927, + "learning_rate": 9.689543524566746e-06, + "loss": 0.8129, + "step": 22270 + }, + { + "epoch": 2.68, + "grad_norm": 0.24092987179756165, + "learning_rate": 9.653191384623204e-06, + "loss": 0.7258, + "step": 22275 + }, + { + "epoch": 2.68, + "grad_norm": 0.2920580506324768, + "learning_rate": 9.616905296548588e-06, + "loss": 0.863, + "step": 22280 + }, + { + "epoch": 2.69, + "grad_norm": 0.2646152079105377, + "learning_rate": 9.58068527742032e-06, + "loss": 0.7227, + "step": 22285 + }, + { + "epoch": 2.69, + "grad_norm": 0.26156240701675415, + "learning_rate": 9.544531344284745e-06, + "loss": 0.7387, + "step": 22290 + }, + { + "epoch": 2.69, + "grad_norm": 0.259880930185318, + "learning_rate": 9.50844351415707e-06, + "loss": 0.8297, + "step": 22295 + }, + { + "epoch": 2.69, + "grad_norm": 0.2808079421520233, + "learning_rate": 9.47242180402148e-06, + "loss": 0.8567, + "step": 22300 + }, + { + "epoch": 2.69, + "grad_norm": 0.2962208688259125, + "learning_rate": 9.436466230830958e-06, + "loss": 0.6969, + "step": 22305 + }, + { + "epoch": 2.69, + "grad_norm": 0.30381715297698975, + "learning_rate": 9.40057681150742e-06, + "loss": 0.6078, + "step": 22310 + }, + { + "epoch": 2.69, + "grad_norm": 0.29196277260780334, + "learning_rate": 9.364753562941556e-06, + "loss": 0.7343, + "step": 22315 + }, + { + "epoch": 2.69, + "grad_norm": 0.2667737603187561, + "learning_rate": 9.328996501993047e-06, + "loss": 0.8018, + "step": 22320 + }, + { + "epoch": 2.69, + "grad_norm": 0.27238935232162476, + "learning_rate": 9.29330564549033e-06, + "loss": 0.7812, + "step": 22325 + }, + { + "epoch": 2.69, + "grad_norm": 0.28509876132011414, + "learning_rate": 9.257681010230683e-06, + "loss": 0.8695, + "step": 22330 + }, + { + "epoch": 2.69, + "grad_norm": 0.2799687683582306, + "learning_rate": 9.222122612980281e-06, + "loss": 0.8006, + "step": 22335 + }, + { + "epoch": 2.69, + "grad_norm": 0.2903033494949341, + "learning_rate": 9.186630470474054e-06, + "loss": 0.8644, + "step": 22340 + }, + { + "epoch": 2.69, + "grad_norm": 0.2779753506183624, + "learning_rate": 9.15120459941579e-06, + "loss": 0.7324, + "step": 22345 + }, + { + "epoch": 2.69, + "grad_norm": 0.29276126623153687, + "learning_rate": 9.1158450164781e-06, + "loss": 0.7755, + "step": 22350 + }, + { + "epoch": 2.69, + "grad_norm": 0.2905157804489136, + "learning_rate": 9.080551738302328e-06, + "loss": 0.7065, + "step": 22355 + }, + { + "epoch": 2.69, + "grad_norm": 0.2716805636882782, + "learning_rate": 9.04532478149873e-06, + "loss": 0.8302, + "step": 22360 + }, + { + "epoch": 2.69, + "grad_norm": 0.2544827461242676, + "learning_rate": 9.010164162646249e-06, + "loss": 0.8856, + "step": 22365 + }, + { + "epoch": 2.7, + "grad_norm": 0.30418241024017334, + "learning_rate": 8.975069898292647e-06, + "loss": 0.8106, + "step": 22370 + }, + { + "epoch": 2.7, + "grad_norm": 0.2704138457775116, + "learning_rate": 8.940042004954412e-06, + "loss": 0.8389, + "step": 22375 + }, + { + "epoch": 2.7, + "grad_norm": 0.28807222843170166, + "learning_rate": 8.90508049911689e-06, + "loss": 0.7696, + "step": 22380 + }, + { + "epoch": 2.7, + "grad_norm": 0.28206029534339905, + "learning_rate": 8.870185397234086e-06, + "loss": 0.7857, + "step": 22385 + }, + { + "epoch": 2.7, + "grad_norm": 0.26948267221450806, + "learning_rate": 8.83535671572883e-06, + "loss": 0.8041, + "step": 22390 + }, + { + "epoch": 2.7, + "grad_norm": 0.2844690680503845, + "learning_rate": 8.800594470992611e-06, + "loss": 0.8143, + "step": 22395 + }, + { + "epoch": 2.7, + "grad_norm": 0.28157171607017517, + "learning_rate": 8.765898679385742e-06, + "loss": 0.7778, + "step": 22400 + }, + { + "epoch": 2.7, + "grad_norm": 0.28640446066856384, + "learning_rate": 8.731269357237192e-06, + "loss": 0.8495, + "step": 22405 + }, + { + "epoch": 2.7, + "grad_norm": 0.28528541326522827, + "learning_rate": 8.696706520844693e-06, + "loss": 0.8586, + "step": 22410 + }, + { + "epoch": 2.7, + "grad_norm": 0.2665455937385559, + "learning_rate": 8.6622101864746e-06, + "loss": 0.759, + "step": 22415 + }, + { + "epoch": 2.7, + "grad_norm": 0.2542749047279358, + "learning_rate": 8.627780370362108e-06, + "loss": 0.7185, + "step": 22420 + }, + { + "epoch": 2.7, + "grad_norm": 0.2605261504650116, + "learning_rate": 8.593417088710992e-06, + "loss": 0.8301, + "step": 22425 + }, + { + "epoch": 2.7, + "grad_norm": 0.27719512581825256, + "learning_rate": 8.55912035769376e-06, + "loss": 0.8109, + "step": 22430 + }, + { + "epoch": 2.7, + "grad_norm": 0.27308791875839233, + "learning_rate": 8.524890193451573e-06, + "loss": 0.722, + "step": 22435 + }, + { + "epoch": 2.7, + "grad_norm": 0.26642659306526184, + "learning_rate": 8.490726612094323e-06, + "loss": 0.7022, + "step": 22440 + }, + { + "epoch": 2.7, + "grad_norm": 0.2815400958061218, + "learning_rate": 8.456629629700518e-06, + "loss": 0.887, + "step": 22445 + }, + { + "epoch": 2.7, + "grad_norm": 0.27426496148109436, + "learning_rate": 8.422599262317303e-06, + "loss": 0.7021, + "step": 22450 + }, + { + "epoch": 2.71, + "grad_norm": 0.27988290786743164, + "learning_rate": 8.388635525960503e-06, + "loss": 0.7661, + "step": 22455 + }, + { + "epoch": 2.71, + "grad_norm": 0.31152406334877014, + "learning_rate": 8.35473843661461e-06, + "loss": 0.7652, + "step": 22460 + }, + { + "epoch": 2.71, + "grad_norm": 0.2869008481502533, + "learning_rate": 8.320908010232702e-06, + "loss": 0.7633, + "step": 22465 + }, + { + "epoch": 2.71, + "grad_norm": 0.28940802812576294, + "learning_rate": 8.287144262736506e-06, + "loss": 0.749, + "step": 22470 + }, + { + "epoch": 2.71, + "grad_norm": 0.27460524439811707, + "learning_rate": 8.253447210016363e-06, + "loss": 0.7667, + "step": 22475 + }, + { + "epoch": 2.71, + "grad_norm": 0.2848700284957886, + "learning_rate": 8.219816867931218e-06, + "loss": 0.7629, + "step": 22480 + }, + { + "epoch": 2.71, + "grad_norm": 0.2719096541404724, + "learning_rate": 8.18625325230861e-06, + "loss": 0.7007, + "step": 22485 + }, + { + "epoch": 2.71, + "grad_norm": 0.2773694396018982, + "learning_rate": 8.152756378944708e-06, + "loss": 0.7708, + "step": 22490 + }, + { + "epoch": 2.71, + "grad_norm": 0.2669026851654053, + "learning_rate": 8.119326263604281e-06, + "loss": 0.8003, + "step": 22495 + }, + { + "epoch": 2.71, + "grad_norm": 0.27180686593055725, + "learning_rate": 8.085962922020611e-06, + "loss": 0.8165, + "step": 22500 + }, + { + "epoch": 2.71, + "grad_norm": 0.2707700729370117, + "learning_rate": 8.052666369895622e-06, + "loss": 0.7817, + "step": 22505 + }, + { + "epoch": 2.71, + "grad_norm": 0.2820728123188019, + "learning_rate": 8.019436622899727e-06, + "loss": 0.7616, + "step": 22510 + }, + { + "epoch": 2.71, + "grad_norm": 0.27186763286590576, + "learning_rate": 7.986273696672019e-06, + "loss": 0.7928, + "step": 22515 + }, + { + "epoch": 2.71, + "grad_norm": 0.29205748438835144, + "learning_rate": 7.953177606820044e-06, + "loss": 0.8722, + "step": 22520 + }, + { + "epoch": 2.71, + "grad_norm": 0.2753778398036957, + "learning_rate": 7.92014836891991e-06, + "loss": 0.6978, + "step": 22525 + }, + { + "epoch": 2.71, + "grad_norm": 0.2816515564918518, + "learning_rate": 7.887185998516266e-06, + "loss": 0.7766, + "step": 22530 + }, + { + "epoch": 2.72, + "grad_norm": 0.2690742313861847, + "learning_rate": 7.85429051112232e-06, + "loss": 0.7389, + "step": 22535 + }, + { + "epoch": 2.72, + "grad_norm": 0.26442471146583557, + "learning_rate": 7.821461922219769e-06, + "loss": 0.8625, + "step": 22540 + }, + { + "epoch": 2.72, + "grad_norm": 0.2712923288345337, + "learning_rate": 7.788700247258855e-06, + "loss": 0.734, + "step": 22545 + }, + { + "epoch": 2.72, + "grad_norm": 0.2940865159034729, + "learning_rate": 7.756005501658297e-06, + "loss": 0.7485, + "step": 22550 + }, + { + "epoch": 2.72, + "grad_norm": 0.25925499200820923, + "learning_rate": 7.723377700805316e-06, + "loss": 0.7913, + "step": 22555 + }, + { + "epoch": 2.72, + "grad_norm": 0.23880963027477264, + "learning_rate": 7.690816860055648e-06, + "loss": 0.7763, + "step": 22560 + }, + { + "epoch": 2.72, + "grad_norm": 0.2328793704509735, + "learning_rate": 7.658322994733517e-06, + "loss": 0.7291, + "step": 22565 + }, + { + "epoch": 2.72, + "grad_norm": 0.23459170758724213, + "learning_rate": 7.625896120131575e-06, + "loss": 0.8022, + "step": 22570 + }, + { + "epoch": 2.72, + "grad_norm": 0.26686781644821167, + "learning_rate": 7.593536251511045e-06, + "loss": 0.751, + "step": 22575 + }, + { + "epoch": 2.72, + "grad_norm": 0.2697281837463379, + "learning_rate": 7.5612434041015305e-06, + "loss": 0.737, + "step": 22580 + }, + { + "epoch": 2.72, + "grad_norm": 0.30781927704811096, + "learning_rate": 7.529017593101105e-06, + "loss": 0.8416, + "step": 22585 + }, + { + "epoch": 2.72, + "grad_norm": 0.2810058891773224, + "learning_rate": 7.496858833676306e-06, + "loss": 0.7729, + "step": 22590 + }, + { + "epoch": 2.72, + "grad_norm": 0.24234548211097717, + "learning_rate": 7.464767140962124e-06, + "loss": 0.7394, + "step": 22595 + }, + { + "epoch": 2.72, + "grad_norm": 0.263785719871521, + "learning_rate": 7.432742530061997e-06, + "loss": 0.8007, + "step": 22600 + }, + { + "epoch": 2.72, + "grad_norm": 0.27168524265289307, + "learning_rate": 7.400785016047733e-06, + "loss": 0.8045, + "step": 22605 + }, + { + "epoch": 2.72, + "grad_norm": 0.2800976634025574, + "learning_rate": 7.3688946139596025e-06, + "loss": 0.8114, + "step": 22610 + }, + { + "epoch": 2.72, + "grad_norm": 0.29521191120147705, + "learning_rate": 7.3370713388063165e-06, + "loss": 0.7672, + "step": 22615 + }, + { + "epoch": 2.73, + "grad_norm": 0.27929726243019104, + "learning_rate": 7.30531520556496e-06, + "loss": 0.7258, + "step": 22620 + }, + { + "epoch": 2.73, + "grad_norm": 0.25764504075050354, + "learning_rate": 7.273626229180995e-06, + "loss": 0.8177, + "step": 22625 + }, + { + "epoch": 2.73, + "grad_norm": 0.26366397738456726, + "learning_rate": 7.242004424568309e-06, + "loss": 0.7124, + "step": 22630 + }, + { + "epoch": 2.73, + "grad_norm": 0.30640193819999695, + "learning_rate": 7.210449806609197e-06, + "loss": 0.8062, + "step": 22635 + }, + { + "epoch": 2.73, + "grad_norm": 0.2728465795516968, + "learning_rate": 7.178962390154314e-06, + "loss": 0.8824, + "step": 22640 + }, + { + "epoch": 2.73, + "grad_norm": 0.3235665559768677, + "learning_rate": 7.1475421900226705e-06, + "loss": 0.6664, + "step": 22645 + }, + { + "epoch": 2.73, + "grad_norm": 0.3118913471698761, + "learning_rate": 7.116189221001622e-06, + "loss": 0.7975, + "step": 22650 + }, + { + "epoch": 2.73, + "grad_norm": 0.2510865032672882, + "learning_rate": 7.084903497846983e-06, + "loss": 0.7969, + "step": 22655 + }, + { + "epoch": 2.73, + "grad_norm": 0.28625842928886414, + "learning_rate": 7.053685035282808e-06, + "loss": 0.7862, + "step": 22660 + }, + { + "epoch": 2.73, + "grad_norm": 0.30692657828330994, + "learning_rate": 7.02253384800156e-06, + "loss": 0.6927, + "step": 22665 + }, + { + "epoch": 2.73, + "grad_norm": 0.30167925357818604, + "learning_rate": 6.9914499506640135e-06, + "loss": 0.7441, + "step": 22670 + }, + { + "epoch": 2.73, + "grad_norm": 0.30318981409072876, + "learning_rate": 6.960433357899281e-06, + "loss": 0.8208, + "step": 22675 + }, + { + "epoch": 2.73, + "grad_norm": 0.268376886844635, + "learning_rate": 6.929484084304837e-06, + "loss": 0.732, + "step": 22680 + }, + { + "epoch": 2.73, + "grad_norm": 0.26787877082824707, + "learning_rate": 6.89860214444638e-06, + "loss": 0.7454, + "step": 22685 + }, + { + "epoch": 2.73, + "grad_norm": 0.29671844840049744, + "learning_rate": 6.8677875528580176e-06, + "loss": 0.767, + "step": 22690 + }, + { + "epoch": 2.73, + "grad_norm": 0.27219846844673157, + "learning_rate": 6.8370403240421146e-06, + "loss": 0.7894, + "step": 22695 + }, + { + "epoch": 2.74, + "grad_norm": 0.3147854804992676, + "learning_rate": 6.806360472469313e-06, + "loss": 0.8088, + "step": 22700 + }, + { + "epoch": 2.74, + "grad_norm": 0.27097561955451965, + "learning_rate": 6.775748012578597e-06, + "loss": 0.756, + "step": 22705 + }, + { + "epoch": 2.74, + "grad_norm": 0.25546738505363464, + "learning_rate": 6.745202958777174e-06, + "loss": 0.8471, + "step": 22710 + }, + { + "epoch": 2.74, + "grad_norm": 0.27763062715530396, + "learning_rate": 6.714725325440595e-06, + "loss": 0.7465, + "step": 22715 + }, + { + "epoch": 2.74, + "grad_norm": 0.265898197889328, + "learning_rate": 6.684315126912654e-06, + "loss": 0.7873, + "step": 22720 + }, + { + "epoch": 2.74, + "grad_norm": 0.292896032333374, + "learning_rate": 6.653972377505368e-06, + "loss": 0.7363, + "step": 22725 + }, + { + "epoch": 2.74, + "grad_norm": 0.2958504557609558, + "learning_rate": 6.623697091499031e-06, + "loss": 0.7821, + "step": 22730 + }, + { + "epoch": 2.74, + "grad_norm": 0.28079283237457275, + "learning_rate": 6.5934892831422616e-06, + "loss": 0.7395, + "step": 22735 + }, + { + "epoch": 2.74, + "grad_norm": 0.26290813088417053, + "learning_rate": 6.563348966651805e-06, + "loss": 0.7934, + "step": 22740 + }, + { + "epoch": 2.74, + "grad_norm": 0.3071194291114807, + "learning_rate": 6.533276156212697e-06, + "loss": 0.8421, + "step": 22745 + }, + { + "epoch": 2.74, + "grad_norm": 0.2782292366027832, + "learning_rate": 6.503270865978216e-06, + "loss": 0.749, + "step": 22750 + }, + { + "epoch": 2.74, + "grad_norm": 0.2784491181373596, + "learning_rate": 6.47333311006985e-06, + "loss": 0.7861, + "step": 22755 + }, + { + "epoch": 2.74, + "grad_norm": 0.2715974450111389, + "learning_rate": 6.443462902577296e-06, + "loss": 0.8529, + "step": 22760 + }, + { + "epoch": 2.74, + "grad_norm": 0.2865915894508362, + "learning_rate": 6.413660257558473e-06, + "loss": 0.8501, + "step": 22765 + }, + { + "epoch": 2.74, + "grad_norm": 0.30358344316482544, + "learning_rate": 6.383925189039479e-06, + "loss": 0.7397, + "step": 22770 + }, + { + "epoch": 2.74, + "grad_norm": 0.2950074076652527, + "learning_rate": 6.3542577110146375e-06, + "loss": 0.781, + "step": 22775 + }, + { + "epoch": 2.74, + "grad_norm": 0.2862589955329895, + "learning_rate": 6.324657837446445e-06, + "loss": 0.7687, + "step": 22780 + }, + { + "epoch": 2.75, + "grad_norm": 0.2698042392730713, + "learning_rate": 6.295125582265575e-06, + "loss": 0.8329, + "step": 22785 + }, + { + "epoch": 2.75, + "grad_norm": 0.2783750295639038, + "learning_rate": 6.265660959370894e-06, + "loss": 0.7668, + "step": 22790 + }, + { + "epoch": 2.75, + "grad_norm": 0.2662694752216339, + "learning_rate": 6.236263982629441e-06, + "loss": 0.7561, + "step": 22795 + }, + { + "epoch": 2.75, + "grad_norm": 0.35889652371406555, + "learning_rate": 6.206934665876417e-06, + "loss": 0.8031, + "step": 22800 + }, + { + "epoch": 2.75, + "grad_norm": 0.2936451733112335, + "learning_rate": 6.177673022915147e-06, + "loss": 0.7609, + "step": 22805 + }, + { + "epoch": 2.75, + "grad_norm": 0.299941748380661, + "learning_rate": 6.1484790675171315e-06, + "loss": 0.6878, + "step": 22810 + }, + { + "epoch": 2.75, + "grad_norm": 0.30326518416404724, + "learning_rate": 6.119352813422046e-06, + "loss": 0.8334, + "step": 22815 + }, + { + "epoch": 2.75, + "grad_norm": 0.2659267783164978, + "learning_rate": 6.09029427433766e-06, + "loss": 0.7561, + "step": 22820 + }, + { + "epoch": 2.75, + "grad_norm": 0.2844538986682892, + "learning_rate": 6.061303463939882e-06, + "loss": 0.8201, + "step": 22825 + }, + { + "epoch": 2.75, + "grad_norm": 0.274046391248703, + "learning_rate": 6.032380395872732e-06, + "loss": 0.7778, + "step": 22830 + }, + { + "epoch": 2.75, + "grad_norm": 0.25698041915893555, + "learning_rate": 6.003525083748406e-06, + "loss": 0.7376, + "step": 22835 + }, + { + "epoch": 2.75, + "grad_norm": 0.2826564908027649, + "learning_rate": 5.97473754114714e-06, + "loss": 0.8031, + "step": 22840 + }, + { + "epoch": 2.75, + "grad_norm": 0.2923043370246887, + "learning_rate": 5.946017781617329e-06, + "loss": 0.7715, + "step": 22845 + }, + { + "epoch": 2.75, + "grad_norm": 0.2728569507598877, + "learning_rate": 5.917365818675396e-06, + "loss": 0.8772, + "step": 22850 + }, + { + "epoch": 2.75, + "grad_norm": 0.2695605754852295, + "learning_rate": 5.888781665805986e-06, + "loss": 0.9072, + "step": 22855 + }, + { + "epoch": 2.75, + "grad_norm": 0.25165680050849915, + "learning_rate": 5.860265336461689e-06, + "loss": 0.6898, + "step": 22860 + }, + { + "epoch": 2.75, + "grad_norm": 0.2680535614490509, + "learning_rate": 5.8318168440632695e-06, + "loss": 0.8437, + "step": 22865 + }, + { + "epoch": 2.76, + "grad_norm": 0.28424060344696045, + "learning_rate": 5.8034362019995e-06, + "loss": 0.7131, + "step": 22870 + }, + { + "epoch": 2.76, + "grad_norm": 0.25301888585090637, + "learning_rate": 5.775123423627298e-06, + "loss": 0.7976, + "step": 22875 + }, + { + "epoch": 2.76, + "grad_norm": 0.27347350120544434, + "learning_rate": 5.746878522271553e-06, + "loss": 0.711, + "step": 22880 + }, + { + "epoch": 2.76, + "grad_norm": 0.26733747124671936, + "learning_rate": 5.718701511225299e-06, + "loss": 0.6827, + "step": 22885 + }, + { + "epoch": 2.76, + "grad_norm": 0.2814013361930847, + "learning_rate": 5.690592403749511e-06, + "loss": 0.7927, + "step": 22890 + }, + { + "epoch": 2.76, + "grad_norm": 0.264848530292511, + "learning_rate": 5.662551213073324e-06, + "loss": 0.9032, + "step": 22895 + }, + { + "epoch": 2.76, + "grad_norm": 0.28370270133018494, + "learning_rate": 5.634577952393848e-06, + "loss": 0.7843, + "step": 22900 + }, + { + "epoch": 2.76, + "grad_norm": 0.2731534242630005, + "learning_rate": 5.606672634876203e-06, + "loss": 0.8433, + "step": 22905 + }, + { + "epoch": 2.76, + "grad_norm": 0.24351301789283752, + "learning_rate": 5.578835273653581e-06, + "loss": 0.7116, + "step": 22910 + }, + { + "epoch": 2.76, + "grad_norm": 0.29447489976882935, + "learning_rate": 5.551065881827138e-06, + "loss": 0.7504, + "step": 22915 + }, + { + "epoch": 2.76, + "grad_norm": 0.2870446443557739, + "learning_rate": 5.523364472466118e-06, + "loss": 0.7319, + "step": 22920 + }, + { + "epoch": 2.76, + "grad_norm": 0.2608989179134369, + "learning_rate": 5.495731058607677e-06, + "loss": 0.8248, + "step": 22925 + }, + { + "epoch": 2.76, + "grad_norm": 0.2600563168525696, + "learning_rate": 5.468165653257028e-06, + "loss": 0.8477, + "step": 22930 + }, + { + "epoch": 2.76, + "grad_norm": 0.2777158319950104, + "learning_rate": 5.440668269387394e-06, + "loss": 0.7868, + "step": 22935 + }, + { + "epoch": 2.76, + "grad_norm": 0.2984352707862854, + "learning_rate": 5.4132389199399384e-06, + "loss": 0.7796, + "step": 22940 + }, + { + "epoch": 2.76, + "grad_norm": 0.3199765682220459, + "learning_rate": 5.385877617823819e-06, + "loss": 0.8571, + "step": 22945 + }, + { + "epoch": 2.77, + "grad_norm": 0.2830100953578949, + "learning_rate": 5.35858437591617e-06, + "loss": 0.775, + "step": 22950 + }, + { + "epoch": 2.77, + "grad_norm": 0.23226149380207062, + "learning_rate": 5.33135920706213e-06, + "loss": 0.706, + "step": 22955 + }, + { + "epoch": 2.77, + "grad_norm": 0.28286078572273254, + "learning_rate": 5.304202124074736e-06, + "loss": 0.7191, + "step": 22960 + }, + { + "epoch": 2.77, + "grad_norm": 0.3073217570781708, + "learning_rate": 5.277113139735012e-06, + "loss": 0.7106, + "step": 22965 + }, + { + "epoch": 2.77, + "grad_norm": 0.2731364667415619, + "learning_rate": 5.250092266791944e-06, + "loss": 0.7427, + "step": 22970 + }, + { + "epoch": 2.77, + "grad_norm": 0.2613232135772705, + "learning_rate": 5.22313951796246e-06, + "loss": 0.7188, + "step": 22975 + }, + { + "epoch": 2.77, + "grad_norm": 0.25765460729599, + "learning_rate": 5.196254905931413e-06, + "loss": 0.9263, + "step": 22980 + }, + { + "epoch": 2.77, + "grad_norm": 0.29852619767189026, + "learning_rate": 5.169438443351581e-06, + "loss": 0.6889, + "step": 22985 + }, + { + "epoch": 2.77, + "grad_norm": 0.2636108100414276, + "learning_rate": 5.142690142843703e-06, + "loss": 0.6934, + "step": 22990 + }, + { + "epoch": 2.77, + "grad_norm": 0.2629612684249878, + "learning_rate": 5.116010016996392e-06, + "loss": 0.8041, + "step": 22995 + }, + { + "epoch": 2.77, + "grad_norm": 0.2794385552406311, + "learning_rate": 5.089398078366219e-06, + "loss": 0.8116, + "step": 23000 + }, + { + "epoch": 2.77, + "grad_norm": 0.2664497494697571, + "learning_rate": 5.062854339477634e-06, + "loss": 0.8767, + "step": 23005 + }, + { + "epoch": 2.77, + "grad_norm": 0.30518075823783875, + "learning_rate": 5.036378812823028e-06, + "loss": 0.7819, + "step": 23010 + }, + { + "epoch": 2.77, + "grad_norm": 0.2723018229007721, + "learning_rate": 5.0099715108626485e-06, + "loss": 0.82, + "step": 23015 + }, + { + "epoch": 2.77, + "grad_norm": 0.27372339367866516, + "learning_rate": 4.983632446024638e-06, + "loss": 0.8301, + "step": 23020 + }, + { + "epoch": 2.77, + "grad_norm": 0.29022863507270813, + "learning_rate": 4.957361630705031e-06, + "loss": 0.7167, + "step": 23025 + }, + { + "epoch": 2.77, + "grad_norm": 0.2727348804473877, + "learning_rate": 4.931159077267771e-06, + "loss": 0.8002, + "step": 23030 + }, + { + "epoch": 2.78, + "grad_norm": 0.2919345200061798, + "learning_rate": 4.905024798044627e-06, + "loss": 0.7175, + "step": 23035 + }, + { + "epoch": 2.78, + "grad_norm": 0.25965866446495056, + "learning_rate": 4.878958805335276e-06, + "loss": 0.7755, + "step": 23040 + }, + { + "epoch": 2.78, + "grad_norm": 0.4287550151348114, + "learning_rate": 4.852961111407239e-06, + "loss": 0.787, + "step": 23045 + }, + { + "epoch": 2.78, + "grad_norm": 0.30621278285980225, + "learning_rate": 4.827031728495878e-06, + "loss": 0.8296, + "step": 23050 + }, + { + "epoch": 2.78, + "grad_norm": 0.29937830567359924, + "learning_rate": 4.801170668804433e-06, + "loss": 0.7147, + "step": 23055 + }, + { + "epoch": 2.78, + "grad_norm": 0.2686162292957306, + "learning_rate": 4.775377944503983e-06, + "loss": 0.8084, + "step": 23060 + }, + { + "epoch": 2.78, + "grad_norm": 0.2906171381473541, + "learning_rate": 4.749653567733402e-06, + "loss": 0.7937, + "step": 23065 + }, + { + "epoch": 2.78, + "grad_norm": 0.3064448833465576, + "learning_rate": 4.72399755059949e-06, + "loss": 0.758, + "step": 23070 + }, + { + "epoch": 2.78, + "grad_norm": 0.3103048801422119, + "learning_rate": 4.698409905176803e-06, + "loss": 0.7798, + "step": 23075 + }, + { + "epoch": 2.78, + "grad_norm": 0.3002449870109558, + "learning_rate": 4.672890643507727e-06, + "loss": 0.8077, + "step": 23080 + }, + { + "epoch": 2.78, + "grad_norm": 0.26185083389282227, + "learning_rate": 4.647439777602469e-06, + "loss": 0.6943, + "step": 23085 + }, + { + "epoch": 2.78, + "grad_norm": 0.2598731517791748, + "learning_rate": 4.6220573194390655e-06, + "loss": 0.7912, + "step": 23090 + }, + { + "epoch": 2.78, + "grad_norm": 0.283272385597229, + "learning_rate": 4.596743280963344e-06, + "loss": 0.7841, + "step": 23095 + }, + { + "epoch": 2.78, + "grad_norm": 0.29078394174575806, + "learning_rate": 4.571497674088925e-06, + "loss": 0.8184, + "step": 23100 + }, + { + "epoch": 2.78, + "grad_norm": 0.26592543721199036, + "learning_rate": 4.546320510697221e-06, + "loss": 0.7237, + "step": 23105 + }, + { + "epoch": 2.78, + "grad_norm": 0.2742617130279541, + "learning_rate": 4.52121180263747e-06, + "loss": 0.7937, + "step": 23110 + }, + { + "epoch": 2.79, + "grad_norm": 0.2708317041397095, + "learning_rate": 4.496171561726636e-06, + "loss": 0.8146, + "step": 23115 + }, + { + "epoch": 2.79, + "grad_norm": 0.2601563036441803, + "learning_rate": 4.471199799749508e-06, + "loss": 0.719, + "step": 23120 + }, + { + "epoch": 2.79, + "grad_norm": 0.2519415318965912, + "learning_rate": 4.446296528458604e-06, + "loss": 0.8397, + "step": 23125 + }, + { + "epoch": 2.79, + "grad_norm": 0.2795381247997284, + "learning_rate": 4.421461759574247e-06, + "loss": 0.708, + "step": 23130 + }, + { + "epoch": 2.79, + "grad_norm": 0.2789604067802429, + "learning_rate": 4.396695504784503e-06, + "loss": 0.7077, + "step": 23135 + }, + { + "epoch": 2.79, + "grad_norm": 0.30929040908813477, + "learning_rate": 4.371997775745184e-06, + "loss": 0.6999, + "step": 23140 + }, + { + "epoch": 2.79, + "grad_norm": 0.2771584689617157, + "learning_rate": 4.347368584079858e-06, + "loss": 0.8967, + "step": 23145 + }, + { + "epoch": 2.79, + "grad_norm": 0.290021687746048, + "learning_rate": 4.322807941379869e-06, + "loss": 0.7981, + "step": 23150 + }, + { + "epoch": 2.79, + "grad_norm": 0.2715446352958679, + "learning_rate": 4.298315859204254e-06, + "loss": 0.7353, + "step": 23155 + }, + { + "epoch": 2.79, + "grad_norm": 0.27552729845046997, + "learning_rate": 4.273892349079794e-06, + "loss": 0.8716, + "step": 23160 + }, + { + "epoch": 2.79, + "grad_norm": 0.2995644509792328, + "learning_rate": 4.249537422500992e-06, + "loss": 0.7564, + "step": 23165 + }, + { + "epoch": 2.79, + "grad_norm": 0.3228721022605896, + "learning_rate": 4.225251090930132e-06, + "loss": 0.7422, + "step": 23170 + }, + { + "epoch": 2.79, + "grad_norm": 0.2784271538257599, + "learning_rate": 4.201033365797119e-06, + "loss": 0.7439, + "step": 23175 + }, + { + "epoch": 2.79, + "grad_norm": 0.2869255840778351, + "learning_rate": 4.176884258499652e-06, + "loss": 0.8764, + "step": 23180 + }, + { + "epoch": 2.79, + "grad_norm": 0.2846572697162628, + "learning_rate": 4.152803780403058e-06, + "loss": 0.8168, + "step": 23185 + }, + { + "epoch": 2.79, + "grad_norm": 0.2854968011379242, + "learning_rate": 4.12879194284047e-06, + "loss": 0.84, + "step": 23190 + }, + { + "epoch": 2.79, + "grad_norm": 0.2596077620983124, + "learning_rate": 4.104848757112616e-06, + "loss": 0.7741, + "step": 23195 + }, + { + "epoch": 2.8, + "grad_norm": 0.2705884575843811, + "learning_rate": 4.080974234487966e-06, + "loss": 0.6468, + "step": 23200 + }, + { + "epoch": 2.8, + "grad_norm": 0.2820831835269928, + "learning_rate": 4.057168386202681e-06, + "loss": 0.7343, + "step": 23205 + }, + { + "epoch": 2.8, + "grad_norm": 0.2777920663356781, + "learning_rate": 4.033431223460548e-06, + "loss": 0.825, + "step": 23210 + }, + { + "epoch": 2.8, + "grad_norm": 0.25113433599472046, + "learning_rate": 4.0097627574330825e-06, + "loss": 0.8486, + "step": 23215 + }, + { + "epoch": 2.8, + "grad_norm": 0.26045823097229004, + "learning_rate": 3.9861629992594405e-06, + "loss": 0.8892, + "step": 23220 + }, + { + "epoch": 2.8, + "grad_norm": 0.2702331840991974, + "learning_rate": 3.962631960046453e-06, + "loss": 0.8179, + "step": 23225 + }, + { + "epoch": 2.8, + "grad_norm": 0.2872564494609833, + "learning_rate": 3.939169650868645e-06, + "loss": 0.7651, + "step": 23230 + }, + { + "epoch": 2.8, + "grad_norm": 0.28898364305496216, + "learning_rate": 3.915776082768118e-06, + "loss": 0.7968, + "step": 23235 + }, + { + "epoch": 2.8, + "grad_norm": 0.2918056845664978, + "learning_rate": 3.8924512667546645e-06, + "loss": 0.7513, + "step": 23240 + }, + { + "epoch": 2.8, + "grad_norm": 0.28438860177993774, + "learning_rate": 3.86919521380572e-06, + "loss": 0.8384, + "step": 23245 + }, + { + "epoch": 2.8, + "grad_norm": 0.29474344849586487, + "learning_rate": 3.8460079348663795e-06, + "loss": 0.8156, + "step": 23250 + }, + { + "epoch": 2.8, + "grad_norm": 0.28143933415412903, + "learning_rate": 3.82288944084933e-06, + "loss": 0.7344, + "step": 23255 + }, + { + "epoch": 2.8, + "grad_norm": 0.28403791785240173, + "learning_rate": 3.7998397426349024e-06, + "loss": 0.7604, + "step": 23260 + }, + { + "epoch": 2.8, + "grad_norm": 0.29978764057159424, + "learning_rate": 3.7768588510710353e-06, + "loss": 0.7076, + "step": 23265 + }, + { + "epoch": 2.8, + "grad_norm": 0.2770501375198364, + "learning_rate": 3.753946776973327e-06, + "loss": 0.8365, + "step": 23270 + }, + { + "epoch": 2.8, + "grad_norm": 0.27618712186813354, + "learning_rate": 3.7311035311249348e-06, + "loss": 0.7706, + "step": 23275 + }, + { + "epoch": 2.8, + "grad_norm": 0.2640831768512726, + "learning_rate": 3.7083291242766764e-06, + "loss": 0.7948, + "step": 23280 + }, + { + "epoch": 2.81, + "grad_norm": 0.2883791923522949, + "learning_rate": 3.685623567146895e-06, + "loss": 0.8043, + "step": 23285 + }, + { + "epoch": 2.81, + "grad_norm": 0.280841201543808, + "learning_rate": 3.6629868704216415e-06, + "loss": 0.9078, + "step": 23290 + }, + { + "epoch": 2.81, + "grad_norm": 0.25826311111450195, + "learning_rate": 3.640419044754461e-06, + "loss": 0.8755, + "step": 23295 + }, + { + "epoch": 2.81, + "grad_norm": 0.2830309271812439, + "learning_rate": 3.6179201007665413e-06, + "loss": 0.8145, + "step": 23300 + }, + { + "epoch": 2.81, + "grad_norm": 0.290726900100708, + "learning_rate": 3.5954900490465956e-06, + "loss": 0.8466, + "step": 23305 + }, + { + "epoch": 2.81, + "grad_norm": 0.28319695591926575, + "learning_rate": 3.5731289001509954e-06, + "loss": 0.7302, + "step": 23310 + }, + { + "epoch": 2.81, + "grad_norm": 0.27678796648979187, + "learning_rate": 3.5508366646036236e-06, + "loss": 0.8587, + "step": 23315 + }, + { + "epoch": 2.81, + "grad_norm": 0.26364395022392273, + "learning_rate": 3.528613352895937e-06, + "loss": 0.858, + "step": 23320 + }, + { + "epoch": 2.81, + "grad_norm": 0.2955693006515503, + "learning_rate": 3.506458975486953e-06, + "loss": 0.6728, + "step": 23325 + }, + { + "epoch": 2.81, + "grad_norm": 0.272214412689209, + "learning_rate": 3.484373542803298e-06, + "loss": 0.794, + "step": 23330 + }, + { + "epoch": 2.81, + "grad_norm": 0.2752835154533386, + "learning_rate": 3.4623570652390743e-06, + "loss": 0.6453, + "step": 23335 + }, + { + "epoch": 2.81, + "grad_norm": 0.28152868151664734, + "learning_rate": 3.440409553155993e-06, + "loss": 0.7392, + "step": 23340 + }, + { + "epoch": 2.81, + "grad_norm": 0.25148865580558777, + "learning_rate": 3.4185310168832748e-06, + "loss": 0.777, + "step": 23345 + }, + { + "epoch": 2.81, + "grad_norm": 0.2435861974954605, + "learning_rate": 3.3967214667176666e-06, + "loss": 0.7149, + "step": 23350 + }, + { + "epoch": 2.81, + "grad_norm": 0.33531370759010315, + "learning_rate": 3.3749809129234752e-06, + "loss": 0.7284, + "step": 23355 + }, + { + "epoch": 2.81, + "grad_norm": 0.30802983045578003, + "learning_rate": 3.353309365732548e-06, + "loss": 0.714, + "step": 23360 + }, + { + "epoch": 2.82, + "grad_norm": 0.2919432818889618, + "learning_rate": 3.3317068353441945e-06, + "loss": 0.8152, + "step": 23365 + }, + { + "epoch": 2.82, + "grad_norm": 0.2593708634376526, + "learning_rate": 3.310173331925331e-06, + "loss": 0.6821, + "step": 23370 + }, + { + "epoch": 2.82, + "grad_norm": 0.27010101079940796, + "learning_rate": 3.288708865610318e-06, + "loss": 0.753, + "step": 23375 + }, + { + "epoch": 2.82, + "grad_norm": 0.28530481457710266, + "learning_rate": 3.267313446501041e-06, + "loss": 0.7806, + "step": 23380 + }, + { + "epoch": 2.82, + "grad_norm": 0.27056190371513367, + "learning_rate": 3.245987084666879e-06, + "loss": 0.6671, + "step": 23385 + }, + { + "epoch": 2.82, + "grad_norm": 0.33442938327789307, + "learning_rate": 3.2247297901447534e-06, + "loss": 0.7138, + "step": 23390 + }, + { + "epoch": 2.82, + "grad_norm": 0.2769376039505005, + "learning_rate": 3.2035415729390613e-06, + "loss": 0.838, + "step": 23395 + }, + { + "epoch": 2.82, + "grad_norm": 0.29188603162765503, + "learning_rate": 3.1824224430216425e-06, + "loss": 0.7758, + "step": 23400 + }, + { + "epoch": 2.82, + "grad_norm": 0.27181747555732727, + "learning_rate": 3.161372410331897e-06, + "loss": 0.8393, + "step": 23405 + }, + { + "epoch": 2.82, + "grad_norm": 0.2749415338039398, + "learning_rate": 3.1403914847766497e-06, + "loss": 0.8015, + "step": 23410 + }, + { + "epoch": 2.82, + "grad_norm": 0.28852447867393494, + "learning_rate": 3.1194796762302353e-06, + "loss": 0.8061, + "step": 23415 + }, + { + "epoch": 2.82, + "grad_norm": 0.2778397798538208, + "learning_rate": 3.0986369945344312e-06, + "loss": 0.829, + "step": 23420 + }, + { + "epoch": 2.82, + "grad_norm": 0.3023031949996948, + "learning_rate": 3.0778634494984912e-06, + "loss": 0.7389, + "step": 23425 + }, + { + "epoch": 2.82, + "grad_norm": 0.3010731339454651, + "learning_rate": 3.0571590508991607e-06, + "loss": 0.8619, + "step": 23430 + }, + { + "epoch": 2.82, + "grad_norm": 0.28016921877861023, + "learning_rate": 3.0365238084805955e-06, + "loss": 0.7831, + "step": 23435 + }, + { + "epoch": 2.82, + "grad_norm": 0.2581021189689636, + "learning_rate": 3.015957731954427e-06, + "loss": 0.7122, + "step": 23440 + }, + { + "epoch": 2.82, + "grad_norm": 0.2601596713066101, + "learning_rate": 2.9954608309997296e-06, + "loss": 0.784, + "step": 23445 + }, + { + "epoch": 2.83, + "grad_norm": 0.2719314992427826, + "learning_rate": 2.9750331152630535e-06, + "loss": 0.7701, + "step": 23450 + }, + { + "epoch": 2.83, + "grad_norm": 0.25035297870635986, + "learning_rate": 2.9546745943583418e-06, + "loss": 0.785, + "step": 23455 + }, + { + "epoch": 2.83, + "grad_norm": 0.2835271656513214, + "learning_rate": 2.93438527786698e-06, + "loss": 0.7819, + "step": 23460 + }, + { + "epoch": 2.83, + "grad_norm": 0.2592954635620117, + "learning_rate": 2.914165175337796e-06, + "loss": 0.7281, + "step": 23465 + }, + { + "epoch": 2.83, + "grad_norm": 0.29438310861587524, + "learning_rate": 2.8940142962870784e-06, + "loss": 0.7564, + "step": 23470 + }, + { + "epoch": 2.83, + "grad_norm": 0.2590184807777405, + "learning_rate": 2.873932650198457e-06, + "loss": 0.862, + "step": 23475 + }, + { + "epoch": 2.83, + "grad_norm": 0.2566207945346832, + "learning_rate": 2.853920246523023e-06, + "loss": 0.7873, + "step": 23480 + }, + { + "epoch": 2.83, + "grad_norm": 0.2697911560535431, + "learning_rate": 2.8339770946793073e-06, + "loss": 0.8254, + "step": 23485 + }, + { + "epoch": 2.83, + "grad_norm": 0.2645513117313385, + "learning_rate": 2.814103204053203e-06, + "loss": 0.7198, + "step": 23490 + }, + { + "epoch": 2.83, + "grad_norm": 0.294327974319458, + "learning_rate": 2.794298583998028e-06, + "loss": 0.8079, + "step": 23495 + }, + { + "epoch": 2.83, + "grad_norm": 0.26449063420295715, + "learning_rate": 2.77456324383446e-06, + "loss": 0.6838, + "step": 23500 + }, + { + "epoch": 2.83, + "grad_norm": 0.27684205770492554, + "learning_rate": 2.7548971928506693e-06, + "loss": 0.7777, + "step": 23505 + }, + { + "epoch": 2.83, + "grad_norm": 0.29637137055397034, + "learning_rate": 2.7353004403021017e-06, + "loss": 0.8073, + "step": 23510 + }, + { + "epoch": 2.83, + "grad_norm": 0.297203004360199, + "learning_rate": 2.7157729954116634e-06, + "loss": 0.671, + "step": 23515 + }, + { + "epoch": 2.83, + "grad_norm": 0.27864888310432434, + "learning_rate": 2.6963148673696034e-06, + "loss": 0.7304, + "step": 23520 + }, + { + "epoch": 2.83, + "grad_norm": 0.30311015248298645, + "learning_rate": 2.676926065333562e-06, + "loss": 0.7151, + "step": 23525 + }, + { + "epoch": 2.84, + "grad_norm": 0.2594775855541229, + "learning_rate": 2.657606598428591e-06, + "loss": 0.8637, + "step": 23530 + }, + { + "epoch": 2.84, + "grad_norm": 0.2853897213935852, + "learning_rate": 2.6383564757470168e-06, + "loss": 0.7382, + "step": 23535 + }, + { + "epoch": 2.84, + "grad_norm": 0.27156689763069153, + "learning_rate": 2.6191757063486252e-06, + "loss": 0.7312, + "step": 23540 + }, + { + "epoch": 2.84, + "grad_norm": 0.26867052912712097, + "learning_rate": 2.6000642992605127e-06, + "loss": 0.7705, + "step": 23545 + }, + { + "epoch": 2.84, + "grad_norm": 0.27880826592445374, + "learning_rate": 2.581022263477134e-06, + "loss": 0.703, + "step": 23550 + }, + { + "epoch": 2.84, + "grad_norm": 0.26525866985321045, + "learning_rate": 2.5620496079603205e-06, + "loss": 0.7129, + "step": 23555 + }, + { + "epoch": 2.84, + "grad_norm": 0.36034145951271057, + "learning_rate": 2.5431463416392296e-06, + "loss": 0.7513, + "step": 23560 + }, + { + "epoch": 2.84, + "grad_norm": 0.28856807947158813, + "learning_rate": 2.5243124734103616e-06, + "loss": 0.7044, + "step": 23565 + }, + { + "epoch": 2.84, + "grad_norm": 0.27370092272758484, + "learning_rate": 2.5055480121375426e-06, + "loss": 0.7817, + "step": 23570 + }, + { + "epoch": 2.84, + "grad_norm": 0.28846797347068787, + "learning_rate": 2.486852966651992e-06, + "loss": 0.7372, + "step": 23575 + }, + { + "epoch": 2.84, + "grad_norm": 0.26241225004196167, + "learning_rate": 2.468227345752155e-06, + "loss": 0.7602, + "step": 23580 + }, + { + "epoch": 2.84, + "grad_norm": 0.30139365792274475, + "learning_rate": 2.4496711582039365e-06, + "loss": 0.7023, + "step": 23585 + }, + { + "epoch": 2.84, + "grad_norm": 0.29070574045181274, + "learning_rate": 2.4311844127404668e-06, + "loss": 0.7737, + "step": 23590 + }, + { + "epoch": 2.84, + "grad_norm": 0.3289770781993866, + "learning_rate": 2.41276711806222e-06, + "loss": 0.8992, + "step": 23595 + }, + { + "epoch": 2.84, + "grad_norm": 0.2710113525390625, + "learning_rate": 2.394419282836979e-06, + "loss": 0.7763, + "step": 23600 + }, + { + "epoch": 2.84, + "grad_norm": 0.31186643242836, + "learning_rate": 2.3761409156998532e-06, + "loss": 0.7533, + "step": 23605 + }, + { + "epoch": 2.84, + "grad_norm": 0.2570800185203552, + "learning_rate": 2.357932025253262e-06, + "loss": 0.7039, + "step": 23610 + }, + { + "epoch": 2.85, + "grad_norm": 0.2939087450504303, + "learning_rate": 2.3397926200668994e-06, + "loss": 0.8794, + "step": 23615 + }, + { + "epoch": 2.85, + "grad_norm": 0.26302385330200195, + "learning_rate": 2.3217227086777533e-06, + "loss": 0.6978, + "step": 23620 + }, + { + "epoch": 2.85, + "grad_norm": 0.27785399556159973, + "learning_rate": 2.3037222995901716e-06, + "loss": 0.7772, + "step": 23625 + }, + { + "epoch": 2.85, + "grad_norm": 0.2980126738548279, + "learning_rate": 2.2857914012757107e-06, + "loss": 0.7843, + "step": 23630 + }, + { + "epoch": 2.85, + "grad_norm": 0.30063748359680176, + "learning_rate": 2.267930022173253e-06, + "loss": 0.7381, + "step": 23635 + }, + { + "epoch": 2.85, + "grad_norm": 0.2854771316051483, + "learning_rate": 2.250138170688942e-06, + "loss": 0.7182, + "step": 23640 + }, + { + "epoch": 2.85, + "grad_norm": 0.2724713683128357, + "learning_rate": 2.2324158551962457e-06, + "loss": 0.8062, + "step": 23645 + }, + { + "epoch": 2.85, + "grad_norm": 0.2653485834598541, + "learning_rate": 2.214763084035842e-06, + "loss": 0.6749, + "step": 23650 + }, + { + "epoch": 2.85, + "grad_norm": 0.27311810851097107, + "learning_rate": 2.197179865515736e-06, + "loss": 0.6745, + "step": 23655 + }, + { + "epoch": 2.85, + "grad_norm": 0.3039811849594116, + "learning_rate": 2.179666207911157e-06, + "loss": 0.7771, + "step": 23660 + }, + { + "epoch": 2.85, + "grad_norm": 0.30827796459198, + "learning_rate": 2.1622221194646294e-06, + "loss": 0.7983, + "step": 23665 + }, + { + "epoch": 2.85, + "grad_norm": 0.27435705065727234, + "learning_rate": 2.144847608385919e-06, + "loss": 0.9009, + "step": 23670 + }, + { + "epoch": 2.85, + "grad_norm": 0.2926265299320221, + "learning_rate": 2.1275426828520347e-06, + "loss": 0.7032, + "step": 23675 + }, + { + "epoch": 2.85, + "grad_norm": 0.30964577198028564, + "learning_rate": 2.110307351007262e-06, + "loss": 0.7401, + "step": 23680 + }, + { + "epoch": 2.85, + "grad_norm": 0.2811949849128723, + "learning_rate": 2.0931416209631126e-06, + "loss": 0.6413, + "step": 23685 + }, + { + "epoch": 2.85, + "grad_norm": 0.2701903283596039, + "learning_rate": 2.07604550079834e-06, + "loss": 0.8361, + "step": 23690 + }, + { + "epoch": 2.85, + "grad_norm": 0.26354488730430603, + "learning_rate": 2.0590189985589755e-06, + "loss": 0.8271, + "step": 23695 + }, + { + "epoch": 2.86, + "grad_norm": 0.2724680006504059, + "learning_rate": 2.0420621222582255e-06, + "loss": 0.7632, + "step": 23700 + }, + { + "epoch": 2.86, + "grad_norm": 0.28979775309562683, + "learning_rate": 2.02517487987659e-06, + "loss": 0.7434, + "step": 23705 + }, + { + "epoch": 2.86, + "grad_norm": 0.2960839867591858, + "learning_rate": 2.0083572793617274e-06, + "loss": 0.717, + "step": 23710 + }, + { + "epoch": 2.86, + "grad_norm": 0.25892457365989685, + "learning_rate": 1.9916093286285904e-06, + "loss": 0.8393, + "step": 23715 + }, + { + "epoch": 2.86, + "grad_norm": 0.2716827690601349, + "learning_rate": 1.9749310355592907e-06, + "loss": 0.8344, + "step": 23720 + }, + { + "epoch": 2.86, + "grad_norm": 0.25879597663879395, + "learning_rate": 1.958322408003232e-06, + "loss": 0.7689, + "step": 23725 + }, + { + "epoch": 2.86, + "grad_norm": 0.2955610752105713, + "learning_rate": 1.9417834537769463e-06, + "loss": 0.7773, + "step": 23730 + }, + { + "epoch": 2.86, + "grad_norm": 0.2859145402908325, + "learning_rate": 1.925314180664239e-06, + "loss": 0.7632, + "step": 23735 + }, + { + "epoch": 2.86, + "grad_norm": 0.28816118836402893, + "learning_rate": 1.9089145964160614e-06, + "loss": 0.8108, + "step": 23740 + }, + { + "epoch": 2.86, + "grad_norm": 0.2830142080783844, + "learning_rate": 1.892584708750655e-06, + "loss": 0.7739, + "step": 23745 + }, + { + "epoch": 2.86, + "grad_norm": 0.28230804204940796, + "learning_rate": 1.876324525353373e-06, + "loss": 0.8458, + "step": 23750 + }, + { + "epoch": 2.86, + "grad_norm": 0.28245803713798523, + "learning_rate": 1.8601340538767938e-06, + "loss": 0.7592, + "step": 23755 + }, + { + "epoch": 2.86, + "grad_norm": 0.29182082414627075, + "learning_rate": 1.8440133019407056e-06, + "loss": 0.701, + "step": 23760 + }, + { + "epoch": 2.86, + "grad_norm": 0.2928227186203003, + "learning_rate": 1.8279622771320723e-06, + "loss": 0.7389, + "step": 23765 + }, + { + "epoch": 2.86, + "grad_norm": 0.2605980932712555, + "learning_rate": 1.8119809870050351e-06, + "loss": 0.8737, + "step": 23770 + }, + { + "epoch": 2.86, + "grad_norm": 0.27855974435806274, + "learning_rate": 1.7960694390809105e-06, + "loss": 0.8722, + "step": 23775 + }, + { + "epoch": 2.87, + "grad_norm": 0.2521946430206299, + "learning_rate": 1.7802276408482086e-06, + "loss": 0.8727, + "step": 23780 + }, + { + "epoch": 2.87, + "grad_norm": 0.2708735167980194, + "learning_rate": 1.7644555997626153e-06, + "loss": 0.844, + "step": 23785 + }, + { + "epoch": 2.87, + "grad_norm": 0.26479655504226685, + "learning_rate": 1.7487533232469597e-06, + "loss": 0.801, + "step": 23790 + }, + { + "epoch": 2.87, + "grad_norm": 0.32824069261550903, + "learning_rate": 1.7331208186912472e-06, + "loss": 0.7282, + "step": 23795 + }, + { + "epoch": 2.87, + "grad_norm": 0.2727472186088562, + "learning_rate": 1.7175580934526756e-06, + "loss": 0.7332, + "step": 23800 + }, + { + "epoch": 2.87, + "grad_norm": 0.2697487771511078, + "learning_rate": 1.7020651548555863e-06, + "loss": 0.8685, + "step": 23805 + }, + { + "epoch": 2.87, + "grad_norm": 0.3158542513847351, + "learning_rate": 1.6866420101914468e-06, + "loss": 0.7077, + "step": 23810 + }, + { + "epoch": 2.87, + "grad_norm": 0.2666032612323761, + "learning_rate": 1.6712886667189173e-06, + "loss": 0.784, + "step": 23815 + }, + { + "epoch": 2.87, + "grad_norm": 0.28167471289634705, + "learning_rate": 1.6560051316637678e-06, + "loss": 0.6687, + "step": 23820 + }, + { + "epoch": 2.87, + "grad_norm": 0.2855972945690155, + "learning_rate": 1.640791412218978e-06, + "loss": 0.8986, + "step": 23825 + }, + { + "epoch": 2.87, + "grad_norm": 0.28779542446136475, + "learning_rate": 1.6256475155446037e-06, + "loss": 0.7325, + "step": 23830 + }, + { + "epoch": 2.87, + "grad_norm": 0.27318522334098816, + "learning_rate": 1.61057344876786e-06, + "loss": 0.783, + "step": 23835 + }, + { + "epoch": 2.87, + "grad_norm": 0.29986461997032166, + "learning_rate": 1.595569218983106e-06, + "loss": 0.8758, + "step": 23840 + }, + { + "epoch": 2.87, + "grad_norm": 0.2557889223098755, + "learning_rate": 1.5806348332518593e-06, + "loss": 0.78, + "step": 23845 + }, + { + "epoch": 2.87, + "grad_norm": 0.26995155215263367, + "learning_rate": 1.5657702986026976e-06, + "loss": 0.8988, + "step": 23850 + }, + { + "epoch": 2.87, + "grad_norm": 0.2958948612213135, + "learning_rate": 1.550975622031375e-06, + "loss": 0.7705, + "step": 23855 + }, + { + "epoch": 2.87, + "grad_norm": 0.27343350648880005, + "learning_rate": 1.5362508105007721e-06, + "loss": 0.8335, + "step": 23860 + }, + { + "epoch": 2.88, + "grad_norm": 0.34859418869018555, + "learning_rate": 1.5215958709408783e-06, + "loss": 0.8144, + "step": 23865 + }, + { + "epoch": 2.88, + "grad_norm": 0.26644057035446167, + "learning_rate": 1.50701081024876e-06, + "loss": 0.7872, + "step": 23870 + }, + { + "epoch": 2.88, + "grad_norm": 0.26625731587409973, + "learning_rate": 1.4924956352886763e-06, + "loss": 0.769, + "step": 23875 + }, + { + "epoch": 2.88, + "grad_norm": 0.28103673458099365, + "learning_rate": 1.478050352891913e-06, + "loss": 0.8232, + "step": 23880 + }, + { + "epoch": 2.88, + "grad_norm": 0.3763957619667053, + "learning_rate": 1.463674969856915e-06, + "loss": 0.7883, + "step": 23885 + }, + { + "epoch": 2.88, + "grad_norm": 0.28736910223960876, + "learning_rate": 1.4493694929492206e-06, + "loss": 0.722, + "step": 23890 + }, + { + "epoch": 2.88, + "grad_norm": 0.2688366770744324, + "learning_rate": 1.4351339289014608e-06, + "loss": 0.9024, + "step": 23895 + }, + { + "epoch": 2.88, + "grad_norm": 0.27338284254074097, + "learning_rate": 1.420968284413343e-06, + "loss": 0.8657, + "step": 23900 + }, + { + "epoch": 2.88, + "grad_norm": 0.2942239046096802, + "learning_rate": 1.4068725661517343e-06, + "loss": 0.7344, + "step": 23905 + }, + { + "epoch": 2.88, + "grad_norm": 0.26615390181541443, + "learning_rate": 1.392846780750495e-06, + "loss": 0.7641, + "step": 23910 + }, + { + "epoch": 2.88, + "grad_norm": 0.27061372995376587, + "learning_rate": 1.378890934810678e-06, + "loss": 0.7982, + "step": 23915 + }, + { + "epoch": 2.88, + "grad_norm": 0.2560684084892273, + "learning_rate": 1.3650050349003294e-06, + "loss": 0.7434, + "step": 23920 + }, + { + "epoch": 2.88, + "grad_norm": 0.2993808388710022, + "learning_rate": 1.3511890875546217e-06, + "loss": 0.7741, + "step": 23925 + }, + { + "epoch": 2.88, + "grad_norm": 0.2594783902168274, + "learning_rate": 1.3374430992758033e-06, + "loss": 0.827, + "step": 23930 + }, + { + "epoch": 2.88, + "grad_norm": 0.31000006198883057, + "learning_rate": 1.3237670765331998e-06, + "loss": 0.7506, + "step": 23935 + }, + { + "epoch": 2.88, + "grad_norm": 0.3279038071632385, + "learning_rate": 1.310161025763179e-06, + "loss": 0.7283, + "step": 23940 + }, + { + "epoch": 2.89, + "grad_norm": 0.2829456925392151, + "learning_rate": 1.2966249533692352e-06, + "loss": 0.7266, + "step": 23945 + }, + { + "epoch": 2.89, + "grad_norm": 0.2958797812461853, + "learning_rate": 1.2831588657218728e-06, + "loss": 0.6592, + "step": 23950 + }, + { + "epoch": 2.89, + "grad_norm": 0.2799309194087982, + "learning_rate": 1.2697627691586887e-06, + "loss": 0.7966, + "step": 23955 + }, + { + "epoch": 2.89, + "grad_norm": 0.3030032217502594, + "learning_rate": 1.2564366699842899e-06, + "loss": 0.8914, + "step": 23960 + }, + { + "epoch": 2.89, + "grad_norm": 0.32187244296073914, + "learning_rate": 1.2431805744704426e-06, + "loss": 0.8033, + "step": 23965 + }, + { + "epoch": 2.89, + "grad_norm": 0.2817818820476532, + "learning_rate": 1.2299944888558732e-06, + "loss": 0.781, + "step": 23970 + }, + { + "epoch": 2.89, + "grad_norm": 0.27116790413856506, + "learning_rate": 1.2194960316631197e-06, + "loss": 0.7533, + "step": 23975 + }, + { + "epoch": 2.89, + "grad_norm": 0.3104703426361084, + "learning_rate": 1.2064359794837553e-06, + "loss": 0.8843, + "step": 23980 + }, + { + "epoch": 2.89, + "grad_norm": 0.27435311675071716, + "learning_rate": 1.1934459544969023e-06, + "loss": 0.8259, + "step": 23985 + }, + { + "epoch": 2.89, + "grad_norm": 0.29726967215538025, + "learning_rate": 1.1805259628160867e-06, + "loss": 0.7628, + "step": 23990 + }, + { + "epoch": 2.89, + "grad_norm": 0.2689824104309082, + "learning_rate": 1.167676010521912e-06, + "loss": 0.8803, + "step": 23995 + }, + { + "epoch": 2.89, + "grad_norm": 0.27188640832901, + "learning_rate": 1.154896103661973e-06, + "loss": 0.8005, + "step": 24000 + }, + { + "epoch": 2.89, + "grad_norm": 0.2570241689682007, + "learning_rate": 1.1421862482509093e-06, + "loss": 0.7015, + "step": 24005 + }, + { + "epoch": 2.89, + "grad_norm": 0.27499955892562866, + "learning_rate": 1.1295464502704187e-06, + "loss": 0.8028, + "step": 24010 + }, + { + "epoch": 2.89, + "grad_norm": 0.30428576469421387, + "learning_rate": 1.11697671566921e-06, + "loss": 0.8024, + "step": 24015 + }, + { + "epoch": 2.89, + "grad_norm": 0.3098774254322052, + "learning_rate": 1.1044770503630008e-06, + "loss": 0.7861, + "step": 24020 + }, + { + "epoch": 2.89, + "grad_norm": 0.2888442575931549, + "learning_rate": 1.092047460234552e-06, + "loss": 0.7146, + "step": 24025 + }, + { + "epoch": 2.9, + "grad_norm": 0.2686418294906616, + "learning_rate": 1.0796879511336676e-06, + "loss": 0.6743, + "step": 24030 + }, + { + "epoch": 2.9, + "grad_norm": 0.26199212670326233, + "learning_rate": 1.0673985288771114e-06, + "loss": 0.7769, + "step": 24035 + }, + { + "epoch": 2.9, + "grad_norm": 0.27240923047065735, + "learning_rate": 1.0551791992487068e-06, + "loss": 0.8166, + "step": 24040 + }, + { + "epoch": 2.9, + "grad_norm": 0.2600533366203308, + "learning_rate": 1.0430299679992704e-06, + "loss": 0.7604, + "step": 24045 + }, + { + "epoch": 2.9, + "grad_norm": 0.2539452612400055, + "learning_rate": 1.0309508408466617e-06, + "loss": 0.8341, + "step": 24050 + }, + { + "epoch": 2.9, + "grad_norm": 0.23374611139297485, + "learning_rate": 1.018941823475683e-06, + "loss": 0.8019, + "step": 24055 + }, + { + "epoch": 2.9, + "grad_norm": 0.2858569025993347, + "learning_rate": 1.0070029215381803e-06, + "loss": 0.8227, + "step": 24060 + }, + { + "epoch": 2.9, + "grad_norm": 0.3056763708591461, + "learning_rate": 9.951341406530088e-07, + "loss": 0.7465, + "step": 24065 + }, + { + "epoch": 2.9, + "grad_norm": 0.2973862290382385, + "learning_rate": 9.833354864060171e-07, + "loss": 0.6763, + "step": 24070 + }, + { + "epoch": 2.9, + "grad_norm": 0.30157533288002014, + "learning_rate": 9.716069643500467e-07, + "loss": 0.8366, + "step": 24075 + }, + { + "epoch": 2.9, + "grad_norm": 0.2873646318912506, + "learning_rate": 9.59948580004899e-07, + "loss": 0.6718, + "step": 24080 + }, + { + "epoch": 2.9, + "grad_norm": 0.2701966464519501, + "learning_rate": 9.483603388574345e-07, + "loss": 0.8791, + "step": 24085 + }, + { + "epoch": 2.9, + "grad_norm": 0.283039927482605, + "learning_rate": 9.368422463614411e-07, + "loss": 0.7677, + "step": 24090 + }, + { + "epoch": 2.9, + "grad_norm": 0.3029240071773529, + "learning_rate": 9.253943079377157e-07, + "loss": 0.8087, + "step": 24095 + }, + { + "epoch": 2.9, + "grad_norm": 0.2594771683216095, + "learning_rate": 9.14016528974032e-07, + "loss": 0.7987, + "step": 24100 + }, + { + "epoch": 2.9, + "grad_norm": 0.2657313048839569, + "learning_rate": 9.027089148251731e-07, + "loss": 0.7931, + "step": 24105 + }, + { + "epoch": 2.9, + "grad_norm": 0.26724809408187866, + "learning_rate": 8.914714708128657e-07, + "loss": 0.7604, + "step": 24110 + }, + { + "epoch": 2.91, + "grad_norm": 0.2993227541446686, + "learning_rate": 8.803042022258289e-07, + "loss": 0.769, + "step": 24115 + }, + { + "epoch": 2.91, + "grad_norm": 0.27348792552948, + "learning_rate": 8.692071143197588e-07, + "loss": 0.7721, + "step": 24120 + }, + { + "epoch": 2.91, + "grad_norm": 0.2768844664096832, + "learning_rate": 8.581802123172776e-07, + "loss": 0.7656, + "step": 24125 + }, + { + "epoch": 2.91, + "grad_norm": 0.2716030478477478, + "learning_rate": 8.472235014080508e-07, + "loss": 0.8586, + "step": 24130 + }, + { + "epoch": 2.91, + "grad_norm": 0.2838304340839386, + "learning_rate": 8.363369867486369e-07, + "loss": 0.6991, + "step": 24135 + }, + { + "epoch": 2.91, + "grad_norm": 0.2540549039840698, + "learning_rate": 8.255206734626207e-07, + "loss": 0.8098, + "step": 24140 + }, + { + "epoch": 2.91, + "grad_norm": 0.30254021286964417, + "learning_rate": 8.147745666405137e-07, + "loss": 0.8074, + "step": 24145 + }, + { + "epoch": 2.91, + "grad_norm": 0.33351510763168335, + "learning_rate": 8.040986713397867e-07, + "loss": 0.756, + "step": 24150 + }, + { + "epoch": 2.91, + "grad_norm": 0.28228092193603516, + "learning_rate": 7.934929925848543e-07, + "loss": 0.724, + "step": 24155 + }, + { + "epoch": 2.91, + "grad_norm": 0.290088951587677, + "learning_rate": 7.829575353671235e-07, + "loss": 0.7698, + "step": 24160 + }, + { + "epoch": 2.91, + "grad_norm": 0.29970574378967285, + "learning_rate": 7.724923046449117e-07, + "loss": 0.7149, + "step": 24165 + }, + { + "epoch": 2.91, + "grad_norm": 0.2955015301704407, + "learning_rate": 7.62097305343512e-07, + "loss": 0.8158, + "step": 24170 + }, + { + "epoch": 2.91, + "grad_norm": 0.31175607442855835, + "learning_rate": 7.517725423551613e-07, + "loss": 0.6608, + "step": 24175 + }, + { + "epoch": 2.91, + "grad_norm": 0.3113124966621399, + "learning_rate": 7.415180205390392e-07, + "loss": 0.7003, + "step": 24180 + }, + { + "epoch": 2.91, + "grad_norm": 0.25491559505462646, + "learning_rate": 7.313337447212519e-07, + "loss": 0.777, + "step": 24185 + }, + { + "epoch": 2.91, + "grad_norm": 0.3029264509677887, + "learning_rate": 7.212197196948655e-07, + "loss": 0.7743, + "step": 24190 + }, + { + "epoch": 2.92, + "grad_norm": 0.25185316801071167, + "learning_rate": 7.111759502198721e-07, + "loss": 0.7702, + "step": 24195 + }, + { + "epoch": 2.92, + "grad_norm": 0.29424992203712463, + "learning_rate": 7.012024410232076e-07, + "loss": 0.7636, + "step": 24200 + }, + { + "epoch": 2.92, + "grad_norm": 0.25971463322639465, + "learning_rate": 6.912991967987169e-07, + "loss": 0.792, + "step": 24205 + }, + { + "epoch": 2.92, + "grad_norm": 0.2720402479171753, + "learning_rate": 6.814662222072387e-07, + "loss": 0.7822, + "step": 24210 + }, + { + "epoch": 2.92, + "grad_norm": 0.2848743498325348, + "learning_rate": 6.717035218764543e-07, + "loss": 0.7481, + "step": 24215 + }, + { + "epoch": 2.92, + "grad_norm": 0.31447309255599976, + "learning_rate": 6.620111004010387e-07, + "loss": 0.7175, + "step": 24220 + }, + { + "epoch": 2.92, + "grad_norm": 0.2868044376373291, + "learning_rate": 6.52388962342576e-07, + "loss": 0.7447, + "step": 24225 + }, + { + "epoch": 2.92, + "grad_norm": 0.281565397977829, + "learning_rate": 6.428371122295273e-07, + "loss": 0.739, + "step": 24230 + }, + { + "epoch": 2.92, + "grad_norm": 0.27926504611968994, + "learning_rate": 6.333555545573299e-07, + "loss": 0.7863, + "step": 24235 + }, + { + "epoch": 2.92, + "grad_norm": 0.2796558439731598, + "learning_rate": 6.23944293788331e-07, + "loss": 0.7584, + "step": 24240 + }, + { + "epoch": 2.92, + "grad_norm": 0.27483847737312317, + "learning_rate": 6.146033343517709e-07, + "loss": 0.777, + "step": 24245 + }, + { + "epoch": 2.92, + "grad_norm": 0.27021974325180054, + "learning_rate": 6.053326806438163e-07, + "loss": 0.8146, + "step": 24250 + }, + { + "epoch": 2.92, + "grad_norm": 0.28549179434776306, + "learning_rate": 5.961323370275439e-07, + "loss": 0.8211, + "step": 24255 + }, + { + "epoch": 2.92, + "grad_norm": 0.2960338592529297, + "learning_rate": 5.870023078329567e-07, + "loss": 0.73, + "step": 24260 + }, + { + "epoch": 2.92, + "grad_norm": 0.2839416563510895, + "learning_rate": 5.779425973569174e-07, + "loss": 0.791, + "step": 24265 + }, + { + "epoch": 2.92, + "grad_norm": 0.28548988699913025, + "learning_rate": 5.689532098632487e-07, + "loss": 0.7879, + "step": 24270 + }, + { + "epoch": 2.92, + "grad_norm": 0.289668470621109, + "learning_rate": 5.6003414958265e-07, + "loss": 0.7007, + "step": 24275 + }, + { + "epoch": 2.93, + "grad_norm": 0.2637322247028351, + "learning_rate": 5.511854207127298e-07, + "loss": 0.8707, + "step": 24280 + }, + { + "epoch": 2.93, + "grad_norm": 0.27071821689605713, + "learning_rate": 5.424070274179904e-07, + "loss": 0.7963, + "step": 24285 + }, + { + "epoch": 2.93, + "grad_norm": 0.2783946692943573, + "learning_rate": 5.336989738298436e-07, + "loss": 0.7763, + "step": 24290 + }, + { + "epoch": 2.93, + "grad_norm": 0.24435043334960938, + "learning_rate": 5.250612640465779e-07, + "loss": 0.7297, + "step": 24295 + }, + { + "epoch": 2.93, + "grad_norm": 0.26858675479888916, + "learning_rate": 5.164939021334081e-07, + "loss": 0.7109, + "step": 24300 + }, + { + "epoch": 2.93, + "grad_norm": 0.28042492270469666, + "learning_rate": 5.079968921223754e-07, + "loss": 0.7229, + "step": 24305 + }, + { + "epoch": 2.93, + "grad_norm": 0.26023703813552856, + "learning_rate": 4.995702380124977e-07, + "loss": 0.695, + "step": 24310 + }, + { + "epoch": 2.93, + "grad_norm": 0.27599677443504333, + "learning_rate": 4.912139437696195e-07, + "loss": 0.7659, + "step": 24315 + }, + { + "epoch": 2.93, + "grad_norm": 0.2630544602870941, + "learning_rate": 4.829280133264779e-07, + "loss": 0.7636, + "step": 24320 + }, + { + "epoch": 2.93, + "grad_norm": 0.30303630232810974, + "learning_rate": 4.747124505827371e-07, + "loss": 0.6761, + "step": 24325 + }, + { + "epoch": 2.93, + "grad_norm": 0.26069948077201843, + "learning_rate": 4.665672594048875e-07, + "loss": 0.8025, + "step": 24330 + }, + { + "epoch": 2.93, + "grad_norm": 0.2887049615383148, + "learning_rate": 4.5849244362634597e-07, + "loss": 0.8476, + "step": 24335 + }, + { + "epoch": 2.93, + "grad_norm": 0.2869950532913208, + "learning_rate": 4.504880070473726e-07, + "loss": 0.8227, + "step": 24340 + }, + { + "epoch": 2.93, + "grad_norm": 0.2907213866710663, + "learning_rate": 4.4255395343513744e-07, + "loss": 0.8843, + "step": 24345 + }, + { + "epoch": 2.93, + "grad_norm": 0.27622485160827637, + "learning_rate": 4.3469028652365346e-07, + "loss": 0.7809, + "step": 24350 + }, + { + "epoch": 2.93, + "grad_norm": 0.3061695098876953, + "learning_rate": 4.268970100138269e-07, + "loss": 0.6801, + "step": 24355 + }, + { + "epoch": 2.94, + "grad_norm": 0.26443079113960266, + "learning_rate": 4.1917412757345724e-07, + "loss": 0.7058, + "step": 24360 + }, + { + "epoch": 2.94, + "grad_norm": 0.30546635389328003, + "learning_rate": 4.1152164283715373e-07, + "loss": 0.8242, + "step": 24365 + }, + { + "epoch": 2.94, + "grad_norm": 0.265575647354126, + "learning_rate": 4.039395594064521e-07, + "loss": 0.7344, + "step": 24370 + }, + { + "epoch": 2.94, + "grad_norm": 0.29234451055526733, + "learning_rate": 3.9642788084971454e-07, + "loss": 0.7067, + "step": 24375 + }, + { + "epoch": 2.94, + "grad_norm": 0.25120893120765686, + "learning_rate": 3.889866107021966e-07, + "loss": 0.7673, + "step": 24380 + }, + { + "epoch": 2.94, + "grad_norm": 0.32437393069267273, + "learning_rate": 3.816157524660135e-07, + "loss": 0.6869, + "step": 24385 + }, + { + "epoch": 2.94, + "grad_norm": 0.2962343096733093, + "learning_rate": 3.7431530961014034e-07, + "loss": 0.7815, + "step": 24390 + }, + { + "epoch": 2.94, + "grad_norm": 0.2750551700592041, + "learning_rate": 3.6708528557037873e-07, + "loss": 0.8175, + "step": 24395 + }, + { + "epoch": 2.94, + "grad_norm": 0.2620263993740082, + "learning_rate": 3.5992568374945685e-07, + "loss": 0.7162, + "step": 24400 + }, + { + "epoch": 2.94, + "grad_norm": 0.26457253098487854, + "learning_rate": 3.528365075168793e-07, + "loss": 0.6064, + "step": 24405 + }, + { + "epoch": 2.94, + "grad_norm": 0.29997846484184265, + "learning_rate": 3.4581776020907725e-07, + "loss": 0.8372, + "step": 24410 + }, + { + "epoch": 2.94, + "grad_norm": 0.2950671315193176, + "learning_rate": 3.388694451293084e-07, + "loss": 0.7008, + "step": 24415 + }, + { + "epoch": 2.94, + "grad_norm": 0.28241240978240967, + "learning_rate": 3.3199156554765684e-07, + "loss": 0.7895, + "step": 24420 + }, + { + "epoch": 2.94, + "grad_norm": 0.2898365557193756, + "learning_rate": 3.251841247011167e-07, + "loss": 0.6871, + "step": 24425 + }, + { + "epoch": 2.94, + "grad_norm": 0.2402508705854416, + "learning_rate": 3.1844712579345843e-07, + "loss": 0.8315, + "step": 24430 + }, + { + "epoch": 2.94, + "grad_norm": 0.2538807988166809, + "learning_rate": 3.1178057199536256e-07, + "loss": 0.7951, + "step": 24435 + }, + { + "epoch": 2.94, + "grad_norm": 0.24774649739265442, + "learning_rate": 3.051844664443026e-07, + "loss": 0.7521, + "step": 24440 + }, + { + "epoch": 2.95, + "grad_norm": 0.29270678758621216, + "learning_rate": 2.9865881224466206e-07, + "loss": 0.744, + "step": 24445 + }, + { + "epoch": 2.95, + "grad_norm": 0.2553872764110565, + "learning_rate": 2.9220361246761746e-07, + "loss": 0.8013, + "step": 24450 + }, + { + "epoch": 2.95, + "grad_norm": 0.24886707961559296, + "learning_rate": 2.858188701511721e-07, + "loss": 0.7174, + "step": 24455 + }, + { + "epoch": 2.95, + "grad_norm": 0.23313623666763306, + "learning_rate": 2.7950458830023893e-07, + "loss": 0.7931, + "step": 24460 + }, + { + "epoch": 2.95, + "grad_norm": 0.25668811798095703, + "learning_rate": 2.7326076988650747e-07, + "loss": 0.7746, + "step": 24465 + }, + { + "epoch": 2.95, + "grad_norm": 0.2648046016693115, + "learning_rate": 2.6708741784852716e-07, + "loss": 0.8661, + "step": 24470 + }, + { + "epoch": 2.95, + "grad_norm": 0.2649308741092682, + "learning_rate": 2.6098453509167394e-07, + "loss": 0.8434, + "step": 24475 + }, + { + "epoch": 2.95, + "grad_norm": 0.29732733964920044, + "learning_rate": 2.549521244881836e-07, + "loss": 0.8796, + "step": 24480 + }, + { + "epoch": 2.95, + "grad_norm": 0.3012838065624237, + "learning_rate": 2.489901888771184e-07, + "loss": 0.7311, + "step": 24485 + }, + { + "epoch": 2.95, + "grad_norm": 0.3150104880332947, + "learning_rate": 2.4309873106433395e-07, + "loss": 0.75, + "step": 24490 + }, + { + "epoch": 2.95, + "grad_norm": 0.260047048330307, + "learning_rate": 2.3727775382256232e-07, + "loss": 0.7938, + "step": 24495 + }, + { + "epoch": 2.95, + "grad_norm": 0.26424214243888855, + "learning_rate": 2.3152725989132869e-07, + "loss": 0.8173, + "step": 24500 + }, + { + "epoch": 2.95, + "grad_norm": 0.29962679743766785, + "learning_rate": 2.2584725197705156e-07, + "loss": 0.7686, + "step": 24505 + }, + { + "epoch": 2.95, + "grad_norm": 0.2528585195541382, + "learning_rate": 2.202377327528926e-07, + "loss": 0.7052, + "step": 24510 + }, + { + "epoch": 2.95, + "grad_norm": 0.31817159056663513, + "learning_rate": 2.1469870485888995e-07, + "loss": 0.8064, + "step": 24515 + }, + { + "epoch": 2.95, + "grad_norm": 0.26599112153053284, + "learning_rate": 2.092301709018751e-07, + "loss": 0.8348, + "step": 24520 + }, + { + "epoch": 2.95, + "grad_norm": 0.26814529299736023, + "learning_rate": 2.0383213345555595e-07, + "loss": 0.8049, + "step": 24525 + }, + { + "epoch": 2.96, + "grad_norm": 0.2638113796710968, + "learning_rate": 1.9850459506041693e-07, + "loss": 0.8862, + "step": 24530 + }, + { + "epoch": 2.96, + "grad_norm": 0.2369757890701294, + "learning_rate": 1.9324755822375248e-07, + "loss": 0.8741, + "step": 24535 + }, + { + "epoch": 2.96, + "grad_norm": 0.28597578406333923, + "learning_rate": 1.8806102541973346e-07, + "loss": 0.6238, + "step": 24540 + }, + { + "epoch": 2.96, + "grad_norm": 0.30425626039505005, + "learning_rate": 1.829449990892906e-07, + "loss": 0.788, + "step": 24545 + }, + { + "epoch": 2.96, + "grad_norm": 0.29849773645401, + "learning_rate": 1.7789948164019795e-07, + "loss": 0.769, + "step": 24550 + }, + { + "epoch": 2.96, + "grad_norm": 0.27328890562057495, + "learning_rate": 1.7292447544703937e-07, + "loss": 0.7794, + "step": 24555 + }, + { + "epoch": 2.96, + "grad_norm": 0.26762855052948, + "learning_rate": 1.6801998285124186e-07, + "loss": 0.7316, + "step": 24560 + }, + { + "epoch": 2.96, + "grad_norm": 0.2702507972717285, + "learning_rate": 1.6318600616099241e-07, + "loss": 0.8332, + "step": 24565 + }, + { + "epoch": 2.96, + "grad_norm": 0.2567251920700073, + "learning_rate": 1.5842254765135453e-07, + "loss": 0.7298, + "step": 24570 + }, + { + "epoch": 2.96, + "grad_norm": 0.2939104437828064, + "learning_rate": 1.5372960956413493e-07, + "loss": 0.688, + "step": 24575 + }, + { + "epoch": 2.96, + "grad_norm": 0.28854793310165405, + "learning_rate": 1.491071941080002e-07, + "loss": 0.7518, + "step": 24580 + }, + { + "epoch": 2.96, + "grad_norm": 0.2733674645423889, + "learning_rate": 1.445553034584268e-07, + "loss": 0.7832, + "step": 24585 + }, + { + "epoch": 2.96, + "grad_norm": 0.27166128158569336, + "learning_rate": 1.4007393975766777e-07, + "loss": 0.7416, + "step": 24590 + }, + { + "epoch": 2.96, + "grad_norm": 0.260300874710083, + "learning_rate": 1.3566310511480272e-07, + "loss": 0.7861, + "step": 24595 + }, + { + "epoch": 2.96, + "grad_norm": 0.22208818793296814, + "learning_rate": 1.3132280160572105e-07, + "loss": 0.7546, + "step": 24600 + }, + { + "epoch": 2.96, + "grad_norm": 0.2763347029685974, + "learning_rate": 1.270530312731055e-07, + "loss": 0.7988, + "step": 24605 + }, + { + "epoch": 2.97, + "grad_norm": 0.2827538847923279, + "learning_rate": 1.2285379612648195e-07, + "loss": 0.672, + "step": 24610 + }, + { + "epoch": 2.97, + "grad_norm": 0.27377375960350037, + "learning_rate": 1.187250981421195e-07, + "loss": 0.7166, + "step": 24615 + }, + { + "epoch": 2.97, + "grad_norm": 0.26959091424942017, + "learning_rate": 1.1466693926311388e-07, + "loss": 0.8364, + "step": 24620 + }, + { + "epoch": 2.97, + "grad_norm": 0.29500630497932434, + "learning_rate": 1.1067932139940394e-07, + "loss": 0.7982, + "step": 24625 + }, + { + "epoch": 2.97, + "grad_norm": 0.24503514170646667, + "learning_rate": 1.0676224642767184e-07, + "loss": 0.884, + "step": 24630 + }, + { + "epoch": 2.97, + "grad_norm": 0.30973246693611145, + "learning_rate": 1.0291571619142624e-07, + "loss": 0.7196, + "step": 24635 + }, + { + "epoch": 2.97, + "grad_norm": 0.30464237928390503, + "learning_rate": 9.913973250096907e-08, + "loss": 0.7846, + "step": 24640 + }, + { + "epoch": 2.97, + "grad_norm": 0.2849758565425873, + "learning_rate": 9.543429713339546e-08, + "loss": 0.8509, + "step": 24645 + }, + { + "epoch": 2.97, + "grad_norm": 0.2636762261390686, + "learning_rate": 9.179941183264372e-08, + "loss": 0.7391, + "step": 24650 + }, + { + "epoch": 2.97, + "grad_norm": 0.29409074783325195, + "learning_rate": 8.823507830936216e-08, + "loss": 0.8165, + "step": 24655 + }, + { + "epoch": 2.97, + "grad_norm": 0.2603693902492523, + "learning_rate": 8.474129824109222e-08, + "loss": 0.8494, + "step": 24660 + }, + { + "epoch": 2.97, + "grad_norm": 0.27702707052230835, + "learning_rate": 8.131807327208529e-08, + "loss": 0.7467, + "step": 24665 + }, + { + "epoch": 2.97, + "grad_norm": 0.2720186710357666, + "learning_rate": 7.796540501343595e-08, + "loss": 0.8084, + "step": 24670 + }, + { + "epoch": 2.97, + "grad_norm": 0.27940112352371216, + "learning_rate": 7.468329504303206e-08, + "loss": 0.8123, + "step": 24675 + }, + { + "epoch": 2.97, + "grad_norm": 0.2809736132621765, + "learning_rate": 7.147174490552132e-08, + "loss": 0.7652, + "step": 24680 + }, + { + "epoch": 2.97, + "grad_norm": 0.29643842577934265, + "learning_rate": 6.833075611239469e-08, + "loss": 0.8162, + "step": 24685 + }, + { + "epoch": 2.97, + "grad_norm": 0.329057514667511, + "learning_rate": 6.526033014188637e-08, + "loss": 0.883, + "step": 24690 + }, + { + "epoch": 2.98, + "grad_norm": 0.2862626612186432, + "learning_rate": 6.226046843904042e-08, + "loss": 0.7266, + "step": 24695 + }, + { + "epoch": 2.98, + "grad_norm": 0.28131476044654846, + "learning_rate": 5.933117241571084e-08, + "loss": 0.8039, + "step": 24700 + }, + { + "epoch": 2.98, + "grad_norm": 0.2740655839443207, + "learning_rate": 5.647244345049484e-08, + "loss": 0.7991, + "step": 24705 + }, + { + "epoch": 2.98, + "grad_norm": 0.2963801324367523, + "learning_rate": 5.368428288881621e-08, + "loss": 0.7506, + "step": 24710 + }, + { + "epoch": 2.98, + "grad_norm": 0.2843016982078552, + "learning_rate": 5.096669204287529e-08, + "loss": 0.7785, + "step": 24715 + }, + { + "epoch": 2.98, + "grad_norm": 0.2702232897281647, + "learning_rate": 4.831967219168231e-08, + "loss": 0.7964, + "step": 24720 + }, + { + "epoch": 2.98, + "grad_norm": 0.3016199767589569, + "learning_rate": 4.574322458097413e-08, + "loss": 0.7077, + "step": 24725 + }, + { + "epoch": 2.98, + "grad_norm": 0.31466734409332275, + "learning_rate": 4.3237350423330766e-08, + "loss": 0.775, + "step": 24730 + }, + { + "epoch": 2.98, + "grad_norm": 0.256837397813797, + "learning_rate": 4.080205089810884e-08, + "loss": 0.7682, + "step": 24735 + }, + { + "epoch": 2.98, + "grad_norm": 0.28616052865982056, + "learning_rate": 3.843732715142489e-08, + "loss": 0.7311, + "step": 24740 + }, + { + "epoch": 2.98, + "grad_norm": 0.24874311685562134, + "learning_rate": 3.614318029620533e-08, + "loss": 0.7582, + "step": 24745 + }, + { + "epoch": 2.98, + "grad_norm": 0.27316519618034363, + "learning_rate": 3.3919611412153156e-08, + "loss": 0.8188, + "step": 24750 + }, + { + "epoch": 2.98, + "grad_norm": 0.2963423728942871, + "learning_rate": 3.1766621545764594e-08, + "loss": 0.8122, + "step": 24755 + }, + { + "epoch": 2.98, + "grad_norm": 0.27651023864746094, + "learning_rate": 2.9684211710279128e-08, + "loss": 0.774, + "step": 24760 + }, + { + "epoch": 2.98, + "grad_norm": 0.28626778721809387, + "learning_rate": 2.7672382885762788e-08, + "loss": 0.8288, + "step": 24765 + }, + { + "epoch": 2.98, + "grad_norm": 0.2841629683971405, + "learning_rate": 2.5731136019058186e-08, + "loss": 0.7956, + "step": 24770 + }, + { + "epoch": 2.99, + "grad_norm": 0.27702802419662476, + "learning_rate": 2.3860472023767842e-08, + "loss": 0.7156, + "step": 24775 + }, + { + "epoch": 2.99, + "grad_norm": 0.3124939799308777, + "learning_rate": 2.206039178028751e-08, + "loss": 0.7434, + "step": 24780 + }, + { + "epoch": 2.99, + "grad_norm": 0.2639085650444031, + "learning_rate": 2.0330896135806184e-08, + "loss": 0.7925, + "step": 24785 + }, + { + "epoch": 2.99, + "grad_norm": 0.28985705971717834, + "learning_rate": 1.8671985904289422e-08, + "loss": 0.798, + "step": 24790 + }, + { + "epoch": 2.99, + "grad_norm": 0.29289746284484863, + "learning_rate": 1.7083661866446053e-08, + "loss": 0.8071, + "step": 24795 + }, + { + "epoch": 2.99, + "grad_norm": 0.25807228684425354, + "learning_rate": 1.5565924769811446e-08, + "loss": 0.8328, + "step": 24800 + }, + { + "epoch": 2.99, + "grad_norm": 0.2961677610874176, + "learning_rate": 1.4118775328680886e-08, + "loss": 0.7459, + "step": 24805 + }, + { + "epoch": 2.99, + "grad_norm": 0.28014975786209106, + "learning_rate": 1.2742214224126246e-08, + "loss": 0.8192, + "step": 24810 + }, + { + "epoch": 2.99, + "grad_norm": 0.26734206080436707, + "learning_rate": 1.143624210402927e-08, + "loss": 0.8212, + "step": 24815 + }, + { + "epoch": 2.99, + "grad_norm": 0.2634017765522003, + "learning_rate": 1.0200859582981669e-08, + "loss": 0.7237, + "step": 24820 + }, + { + "epoch": 2.99, + "grad_norm": 0.27349719405174255, + "learning_rate": 9.036067242418343e-09, + "loss": 0.8578, + "step": 24825 + }, + { + "epoch": 2.99, + "grad_norm": 0.2613513171672821, + "learning_rate": 7.941865630534116e-09, + "loss": 0.7642, + "step": 24830 + }, + { + "epoch": 2.99, + "grad_norm": 0.2503609359264374, + "learning_rate": 6.918255262300387e-09, + "loss": 0.7935, + "step": 24835 + }, + { + "epoch": 2.99, + "grad_norm": 0.27115345001220703, + "learning_rate": 5.9652366194318235e-09, + "loss": 0.7417, + "step": 24840 + }, + { + "epoch": 2.99, + "grad_norm": 0.29795727133750916, + "learning_rate": 5.082810150486283e-09, + "loss": 0.7581, + "step": 24845 + }, + { + "epoch": 2.99, + "grad_norm": 0.2834166884422302, + "learning_rate": 4.270976270731585e-09, + "loss": 0.685, + "step": 24850 + }, + { + "epoch": 2.99, + "grad_norm": 0.2606295347213745, + "learning_rate": 3.5297353622787406e-09, + "loss": 0.821, + "step": 24855 + }, + { + "epoch": 3.0, + "grad_norm": 0.27347010374069214, + "learning_rate": 2.8590877739487205e-09, + "loss": 0.7438, + "step": 24860 + }, + { + "epoch": 3.0, + "grad_norm": 0.2770770788192749, + "learning_rate": 2.2590338213890334e-09, + "loss": 0.8011, + "step": 24865 + }, + { + "epoch": 3.0, + "grad_norm": 0.27099478244781494, + "learning_rate": 1.729573786990457e-09, + "loss": 0.8102, + "step": 24870 + }, + { + "epoch": 3.0, + "grad_norm": 0.31159690022468567, + "learning_rate": 1.2707079199536507e-09, + "loss": 0.8513, + "step": 24875 + }, + { + "epoch": 3.0, + "grad_norm": 0.2697480618953705, + "learning_rate": 8.824364362225445e-10, + "loss": 0.6736, + "step": 24880 + }, + { + "epoch": 3.0, + "grad_norm": 0.25522977113723755, + "learning_rate": 5.647595185176435e-10, + "loss": 0.7454, + "step": 24885 + }, + { + "epoch": 3.0, + "grad_norm": 0.26916685700416565, + "learning_rate": 3.1767731638598916e-10, + "loss": 0.8128, + "step": 24890 + }, + { + "epoch": 3.0, + "grad_norm": 0.27489572763442993, + "learning_rate": 1.4118994608458556e-10, + "loss": 0.8325, + "step": 24895 + }, + { + "epoch": 3.0, + "step": 24897, + "total_flos": 3.2538134341012685e+19, + "train_loss": 0.8796718681596458, + "train_runtime": 1082714.0985, + "train_samples_per_second": 0.368, + "train_steps_per_second": 0.023 + } + ], + "logging_steps": 5, + "max_steps": 24897, + "num_input_tokens_seen": 0, + "num_train_epochs": 3, + "save_steps": 100, + "total_flos": 3.2538134341012685e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +} diff --git a/training.png b/training.png new file mode 100644 index 0000000..fda0d2f Binary files /dev/null and b/training.png differ diff --git a/training_args.bin b/training_args.bin new file mode 100644 index 0000000..39cc478 --- /dev/null +++ b/training_args.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b949d6fd54f7f527c9efec08c70e4be5911255c707b752d0dcb48a674fbd7af9 +size 5112