diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/README.md b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/README.md new file mode 100644 index 0000000000000000000000000000000000000000..8ebb3aeb247ddc9079538b09a0e21b51130cf665 --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/README.md @@ -0,0 +1,202 @@ +--- +base_model: microsoft/llava-med-v1.5-mistral-7b +library_name: peft +--- + +# Model Card for Model ID + + + + + +## Model Details + +### Model Description + + + + + +- **Developed by:** [More Information Needed] +- **Funded by [optional]:** [More Information Needed] +- **Shared by [optional]:** [More Information Needed] +- **Model type:** [More Information Needed] +- **Language(s) (NLP):** [More Information Needed] +- **License:** [More Information Needed] +- **Finetuned from model [optional]:** [More Information Needed] + +### Model Sources [optional] + + + +- **Repository:** [More Information Needed] +- **Paper [optional]:** [More Information Needed] +- **Demo [optional]:** [More Information Needed] + +## Uses + + + +### Direct Use + + + +[More Information Needed] + +### Downstream Use [optional] + + + +[More Information Needed] + +### Out-of-Scope Use + + + +[More Information Needed] + +## Bias, Risks, and Limitations + + + +[More Information Needed] + +### Recommendations + + + +Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. + +## How to Get Started with the Model + +Use the code below to get started with the model. + +[More Information Needed] + +## Training Details + +### Training Data + + + +[More Information Needed] + +### Training Procedure + + + +#### Preprocessing [optional] + +[More Information Needed] + + +#### Training Hyperparameters + +- **Training regime:** [More Information Needed] + +#### Speeds, Sizes, Times [optional] + + + +[More Information Needed] + +## Evaluation + + + +### Testing Data, Factors & Metrics + +#### Testing Data + + + +[More Information Needed] + +#### Factors + + + +[More Information Needed] + +#### Metrics + + + +[More Information Needed] + +### Results + +[More Information Needed] + +#### Summary + + + +## Model Examination [optional] + + + +[More Information Needed] + +## Environmental Impact + + + +Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). + +- **Hardware Type:** [More Information Needed] +- **Hours used:** [More Information Needed] +- **Cloud Provider:** [More Information Needed] +- **Compute Region:** [More Information Needed] +- **Carbon Emitted:** [More Information Needed] + +## Technical Specifications [optional] + +### Model Architecture and Objective + +[More Information Needed] + +### Compute Infrastructure + +[More Information Needed] + +#### Hardware + +[More Information Needed] + +#### Software + +[More Information Needed] + +## Citation [optional] + + + +**BibTeX:** + +[More Information Needed] + +**APA:** + +[More Information Needed] + +## Glossary [optional] + + + +[More Information Needed] + +## More Information [optional] + +[More Information Needed] + +## Model Card Authors [optional] + +[More Information Needed] + +## Model Card Contact + +[More Information Needed] +### Framework versions + +- PEFT 0.10.0 \ No newline at end of file diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_config.json b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_config.json new file mode 100644 index 0000000000000000000000000000000000000000..9ba38f38612f23e5dae53e4f98667e6e97a13d1b --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_config.json @@ -0,0 +1,34 @@ +{ + "alpha_pattern": {}, + "auto_mapping": null, + "base_model_name_or_path": "/home/FYP/angk0064/ANGK0064/checkpoints/microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-2-lr-6e-5", + "bias": "none", + "fan_in_fan_out": false, + "inference_mode": true, + "init_lora_weights": true, + "layer_replication": null, + "layers_pattern": null, + "layers_to_transform": null, + "loftq_config": {}, + "lora_alpha": 256, + "lora_dropout": 0.05, + "megatron_config": null, + "megatron_core": "megatron.core", + "modules_to_save": null, + "peft_type": "LORA", + "r": 128, + "rank_pattern": {}, + "revision": null, + "target_modules": [ + "q_proj", + "o_proj", + "up_proj", + "down_proj", + "gate_proj", + "k_proj", + "v_proj" + ], + "task_type": "CAUSAL_LM", + "use_dora": false, + "use_rslora": false +} \ No newline at end of file diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_model.safetensors b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_model.safetensors new file mode 100644 index 0000000000000000000000000000000000000000..37e2596f561f2af284cf40d3e5bb84596b5b9805 --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/adapter_model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f80723fc868ee9830de2894900ebd0843444503ce7dcafbd1d46645a4751b0e +size 671149616 diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/config.json b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/config.json new file mode 100644 index 0000000000000000000000000000000000000000..32e18ab6be292441e4b9f5af0558b451d28cf4d5 --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/config.json @@ -0,0 +1,50 @@ +{ + "_name_or_path": "/home/FYP/angk0064/ANGK0064/checkpoints/microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-2-lr-6e-5", + "architectures": [ + "LlavaMistralForCausalLM" + ], + "attention_dropout": 0.0, + "bos_token_id": 1, + "eos_token_id": 2, + "feature_outs": "encoder+decoder", + "freeze_mm_mlp_adapter": false, + "hidden_act": "silu", + "hidden_size": 4096, + "image_aspect_ratio": "pad", + "image_processor_path": "openai/clip-vit-large-patch14-336", + "img_size": 640, + "initializer_range": 0.02, + "intermediate_size": 14336, + "max_position_embeddings": 32768, + "mm_hidden_size": 1024, + "mm_projector_lr": 2e-05, + "mm_projector_type": "mlp2x_gelu", + "mm_use_im_patch_token": false, + "mm_use_im_start_end": false, + "mm_vision_select_feature": "patch", + "mm_vision_select_layer": -2, + "mm_vision_tower": "/home/FYP/angk0064/ANGK0064/checkpoints/microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-2-lr-6e-5", + "model_type": "llava_mistral", + "num_attention_heads": 32, + "num_hidden_layers": 32, + "num_key_value_heads": 8, + "proj_vis_to_txt_tokens": false, + "prompt_segtok_w_instruct": false, + "rms_norm_eps": 1e-05, + "rope_theta": 1000000.0, + "segtok_posembed": "sincos", + "sliding_window": null, + "tie_word_embeddings": false, + "tokenizer_model_max_length": 2048, + "tokenizer_padding_side": "right", + "torch_dtype": "float16", + "transformers_version": "4.37.2", + "tune_mm_mlp_adapter": false, + "tune_vision_tokenizer": "none", + "use_cache": true, + "use_mm_proj": true, + "vision_backbone": "convnextlarge", + "vision_tokenizer_lr": null, + "vision_tower_path": "openai/clip-vit-large-patch14-336", + "vocab_size": 32000 +} diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/non_lora_trainables.bin b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/non_lora_trainables.bin new file mode 100644 index 0000000000000000000000000000000000000000..b083a615c81e9f0a195e1bd8af9f262ea0fd87ae --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/non_lora_trainables.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:886f239a5293fa8e1b4ed1e0e7d2465e32c85b45370e1a1e5b96e60de350673f +size 41961648 diff --git a/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/trainer_state.json b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/trainer_state.json new file mode 100644 index 0000000000000000000000000000000000000000..0cd24bdbd4bcda48e491b5a09cc8df8552bf7b12 --- /dev/null +++ b/lora-microsoft-llava-med-v1.5-mistral-7b-train_28k_custom-train-mlp-and-llm-unquantized-epoch-3-lr-6e-5/trainer_state.json @@ -0,0 +1,10530 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 1.0, + "eval_steps": 500, + "global_step": 1750, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 1.1320754716981131e-06, + "loss": 0.984, + "step": 1 + }, + { + "epoch": 0.0, + "learning_rate": 2.2641509433962262e-06, + "loss": 0.9944, + "step": 2 + }, + { + "epoch": 0.0, + "learning_rate": 3.39622641509434e-06, + "loss": 0.9645, + "step": 3 + }, + { + "epoch": 0.0, + "learning_rate": 4.5283018867924524e-06, + "loss": 1.0069, + "step": 4 + }, + { + "epoch": 0.0, + "learning_rate": 5.660377358490566e-06, + "loss": 0.8821, + "step": 5 + }, + { + "epoch": 0.0, + "learning_rate": 6.79245283018868e-06, + "loss": 0.949, + "step": 6 + }, + { + "epoch": 0.0, + "learning_rate": 7.924528301886793e-06, + "loss": 0.9754, + "step": 7 + }, + { + "epoch": 0.0, + "learning_rate": 9.056603773584905e-06, + "loss": 0.7763, + "step": 8 + }, + { + "epoch": 0.01, + "learning_rate": 1.0188679245283019e-05, + "loss": 0.8808, + "step": 9 + }, + { + "epoch": 0.01, + "learning_rate": 1.1320754716981132e-05, + "loss": 0.9795, + "step": 10 + }, + { + "epoch": 0.01, + "learning_rate": 1.2452830188679246e-05, + "loss": 0.9119, + "step": 11 + }, + { + "epoch": 0.01, + "learning_rate": 1.358490566037736e-05, + "loss": 0.9454, + "step": 12 + }, + { + "epoch": 0.01, + "learning_rate": 1.4716981132075472e-05, + "loss": 0.9241, + "step": 13 + }, + { + "epoch": 0.01, + "learning_rate": 1.5849056603773586e-05, + "loss": 0.9764, + "step": 14 + }, + { + "epoch": 0.01, + "learning_rate": 1.69811320754717e-05, + "loss": 0.9526, + "step": 15 + }, + { + "epoch": 0.01, + "learning_rate": 1.811320754716981e-05, + "loss": 0.896, + "step": 16 + }, + { + "epoch": 0.01, + "learning_rate": 1.9245283018867924e-05, + "loss": 0.8531, + "step": 17 + }, + { + "epoch": 0.01, + "learning_rate": 2.0377358490566037e-05, + "loss": 0.9133, + "step": 18 + }, + { + "epoch": 0.01, + "learning_rate": 2.150943396226415e-05, + "loss": 0.908, + "step": 19 + }, + { + "epoch": 0.01, + "learning_rate": 2.2641509433962265e-05, + "loss": 0.9915, + "step": 20 + }, + { + "epoch": 0.01, + "learning_rate": 2.377358490566038e-05, + "loss": 0.8791, + "step": 21 + }, + { + "epoch": 0.01, + "learning_rate": 2.4905660377358492e-05, + "loss": 0.8353, + "step": 22 + }, + { + "epoch": 0.01, + "learning_rate": 2.6037735849056606e-05, + "loss": 0.8526, + "step": 23 + }, + { + "epoch": 0.01, + "learning_rate": 2.716981132075472e-05, + "loss": 0.7265, + "step": 24 + }, + { + "epoch": 0.01, + "learning_rate": 2.830188679245283e-05, + "loss": 0.7584, + "step": 25 + }, + { + "epoch": 0.01, + "learning_rate": 2.9433962264150944e-05, + "loss": 0.8326, + "step": 26 + }, + { + "epoch": 0.02, + "learning_rate": 3.056603773584906e-05, + "loss": 0.7301, + "step": 27 + }, + { + "epoch": 0.02, + "learning_rate": 3.169811320754717e-05, + "loss": 0.8348, + "step": 28 + }, + { + "epoch": 0.02, + "learning_rate": 3.2830188679245285e-05, + "loss": 0.8063, + "step": 29 + }, + { + "epoch": 0.02, + "learning_rate": 3.39622641509434e-05, + "loss": 0.8789, + "step": 30 + }, + { + "epoch": 0.02, + "learning_rate": 3.5094339622641506e-05, + "loss": 0.7554, + "step": 31 + }, + { + "epoch": 0.02, + "learning_rate": 3.622641509433962e-05, + "loss": 0.8189, + "step": 32 + }, + { + "epoch": 0.02, + "learning_rate": 3.735849056603773e-05, + "loss": 0.7798, + "step": 33 + }, + { + "epoch": 0.02, + "learning_rate": 3.849056603773585e-05, + "loss": 0.8047, + "step": 34 + }, + { + "epoch": 0.02, + "learning_rate": 3.962264150943396e-05, + "loss": 0.7661, + "step": 35 + }, + { + "epoch": 0.02, + "learning_rate": 4.0754716981132075e-05, + "loss": 0.8636, + "step": 36 + }, + { + "epoch": 0.02, + "learning_rate": 4.188679245283019e-05, + "loss": 0.8524, + "step": 37 + }, + { + "epoch": 0.02, + "learning_rate": 4.30188679245283e-05, + "loss": 0.7508, + "step": 38 + }, + { + "epoch": 0.02, + "learning_rate": 4.4150943396226416e-05, + "loss": 0.8043, + "step": 39 + }, + { + "epoch": 0.02, + "learning_rate": 4.528301886792453e-05, + "loss": 0.772, + "step": 40 + }, + { + "epoch": 0.02, + "learning_rate": 4.641509433962264e-05, + "loss": 0.8261, + "step": 41 + }, + { + "epoch": 0.02, + "learning_rate": 4.754716981132076e-05, + "loss": 0.8324, + "step": 42 + }, + { + "epoch": 0.02, + "learning_rate": 4.867924528301887e-05, + "loss": 0.8211, + "step": 43 + }, + { + "epoch": 0.03, + "learning_rate": 4.9811320754716985e-05, + "loss": 0.7814, + "step": 44 + }, + { + "epoch": 0.03, + "learning_rate": 5.09433962264151e-05, + "loss": 0.8136, + "step": 45 + }, + { + "epoch": 0.03, + "learning_rate": 5.207547169811321e-05, + "loss": 0.7939, + "step": 46 + }, + { + "epoch": 0.03, + "learning_rate": 5.3207547169811326e-05, + "loss": 0.681, + "step": 47 + }, + { + "epoch": 0.03, + "learning_rate": 5.433962264150944e-05, + "loss": 0.5892, + "step": 48 + }, + { + "epoch": 0.03, + "learning_rate": 5.5471698113207547e-05, + "loss": 0.6615, + "step": 49 + }, + { + "epoch": 0.03, + "learning_rate": 5.660377358490566e-05, + "loss": 0.6939, + "step": 50 + }, + { + "epoch": 0.03, + "learning_rate": 5.7735849056603774e-05, + "loss": 0.7392, + "step": 51 + }, + { + "epoch": 0.03, + "learning_rate": 5.886792452830189e-05, + "loss": 0.7356, + "step": 52 + }, + { + "epoch": 0.03, + "learning_rate": 5.886792452830189e-05, + "loss": 0.8311, + "step": 53 + }, + { + "epoch": 0.03, + "learning_rate": 5.886792452830189e-05, + "loss": 0.7868, + "step": 54 + }, + { + "epoch": 0.03, + "learning_rate": 5.886792452830189e-05, + "loss": 0.874, + "step": 55 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 0.771, + "step": 56 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 4.2661, + "step": 57 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 4.675, + "step": 58 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 4.8925, + "step": 59 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 4.3031, + "step": 60 + }, + { + "epoch": 0.03, + "learning_rate": 6e-05, + "loss": 4.6949, + "step": 61 + }, + { + "epoch": 0.04, + "learning_rate": 6e-05, + "loss": 4.2882, + "step": 62 + }, + { + "epoch": 0.04, + "learning_rate": 6e-05, + "loss": 4.8062, + "step": 63 + }, + { + "epoch": 0.04, + "learning_rate": 5.999994859241577e-05, + "loss": 5.0871, + "step": 64 + }, + { + "epoch": 0.04, + "learning_rate": 5.999979436983926e-05, + "loss": 0.8247, + "step": 65 + }, + { + "epoch": 0.04, + "learning_rate": 5.999953733279902e-05, + "loss": 0.783, + "step": 66 + }, + { + "epoch": 0.04, + "learning_rate": 5.999917748217596e-05, + "loss": 0.8285, + "step": 67 + }, + { + "epoch": 0.04, + "learning_rate": 5.999871481920335e-05, + "loss": 0.8829, + "step": 68 + }, + { + "epoch": 0.04, + "learning_rate": 5.999814934546682e-05, + "loss": 0.8878, + "step": 69 + }, + { + "epoch": 0.04, + "learning_rate": 5.999748106290433e-05, + "loss": 0.9087, + "step": 70 + }, + { + "epoch": 0.04, + "learning_rate": 5.999670997380621e-05, + "loss": 0.8256, + "step": 71 + }, + { + "epoch": 0.04, + "learning_rate": 5.999583608081512e-05, + "loss": 0.7756, + "step": 72 + }, + { + "epoch": 0.04, + "learning_rate": 5.999485938692604e-05, + "loss": 0.8242, + "step": 73 + }, + { + "epoch": 0.04, + "learning_rate": 5.9993779895486265e-05, + "loss": 0.7965, + "step": 74 + }, + { + "epoch": 0.04, + "learning_rate": 5.99925976101954e-05, + "loss": 0.8755, + "step": 75 + }, + { + "epoch": 0.04, + "learning_rate": 5.999131253510533e-05, + "loss": 0.782, + "step": 76 + }, + { + "epoch": 0.04, + "learning_rate": 5.998992467462024e-05, + "loss": 0.823, + "step": 77 + }, + { + "epoch": 0.04, + "learning_rate": 5.998843403349657e-05, + "loss": 0.7686, + "step": 78 + }, + { + "epoch": 0.05, + "learning_rate": 5.9986840616843005e-05, + "loss": 0.787, + "step": 79 + }, + { + "epoch": 0.05, + "learning_rate": 5.998514443012045e-05, + "loss": 0.7464, + "step": 80 + }, + { + "epoch": 0.05, + "learning_rate": 5.998334547914202e-05, + "loss": 0.7867, + "step": 81 + }, + { + "epoch": 0.05, + "learning_rate": 5.9981443770073044e-05, + "loss": 0.7834, + "step": 82 + }, + { + "epoch": 0.05, + "learning_rate": 5.997943930943101e-05, + "loss": 0.8186, + "step": 83 + }, + { + "epoch": 0.05, + "learning_rate": 5.9977332104085536e-05, + "loss": 0.7469, + "step": 84 + }, + { + "epoch": 0.05, + "learning_rate": 5.99751221612584e-05, + "loss": 0.7891, + "step": 85 + }, + { + "epoch": 0.05, + "learning_rate": 5.997280948852343e-05, + "loss": 0.7547, + "step": 86 + }, + { + "epoch": 0.05, + "learning_rate": 5.997039409380657e-05, + "loss": 0.7452, + "step": 87 + }, + { + "epoch": 0.05, + "learning_rate": 5.996787598538579e-05, + "loss": 0.7281, + "step": 88 + }, + { + "epoch": 0.05, + "learning_rate": 5.9965255171891076e-05, + "loss": 0.719, + "step": 89 + }, + { + "epoch": 0.05, + "learning_rate": 5.996253166230441e-05, + "loss": 0.8765, + "step": 90 + }, + { + "epoch": 0.05, + "learning_rate": 5.995970546595975e-05, + "loss": 0.7934, + "step": 91 + }, + { + "epoch": 0.05, + "learning_rate": 5.9956776592542924e-05, + "loss": 0.8383, + "step": 92 + }, + { + "epoch": 0.05, + "learning_rate": 5.9953745052091704e-05, + "loss": 0.7797, + "step": 93 + }, + { + "epoch": 0.05, + "learning_rate": 5.99506108549957e-05, + "loss": 0.7042, + "step": 94 + }, + { + "epoch": 0.05, + "learning_rate": 5.994737401199635e-05, + "loss": 0.8937, + "step": 95 + }, + { + "epoch": 0.05, + "learning_rate": 5.994403453418685e-05, + "loss": 0.745, + "step": 96 + }, + { + "epoch": 0.06, + "learning_rate": 5.99405924330122e-05, + "loss": 0.8922, + "step": 97 + }, + { + "epoch": 0.06, + "learning_rate": 5.9937047720269047e-05, + "loss": 0.9339, + "step": 98 + }, + { + "epoch": 0.06, + "learning_rate": 5.9933400408105744e-05, + "loss": 0.8125, + "step": 99 + }, + { + "epoch": 0.06, + "learning_rate": 5.9929650509022254e-05, + "loss": 0.773, + "step": 100 + }, + { + "epoch": 0.06, + "learning_rate": 5.992579803587012e-05, + "loss": 0.8901, + "step": 101 + }, + { + "epoch": 0.06, + "learning_rate": 5.9921843001852445e-05, + "loss": 0.796, + "step": 102 + }, + { + "epoch": 0.06, + "learning_rate": 5.991778542052381e-05, + "loss": 0.6898, + "step": 103 + }, + { + "epoch": 0.06, + "learning_rate": 5.991362530579025e-05, + "loss": 0.772, + "step": 104 + }, + { + "epoch": 0.06, + "learning_rate": 5.990936267190917e-05, + "loss": 0.9018, + "step": 105 + }, + { + "epoch": 0.06, + "learning_rate": 5.990499753348938e-05, + "loss": 0.8631, + "step": 106 + }, + { + "epoch": 0.06, + "learning_rate": 5.990052990549094e-05, + "loss": 0.7957, + "step": 107 + }, + { + "epoch": 0.06, + "learning_rate": 5.9895959803225194e-05, + "loss": 0.7115, + "step": 108 + }, + { + "epoch": 0.06, + "learning_rate": 5.989128724235467e-05, + "loss": 0.7696, + "step": 109 + }, + { + "epoch": 0.06, + "learning_rate": 5.988651223889302e-05, + "loss": 0.789, + "step": 110 + }, + { + "epoch": 0.06, + "learning_rate": 5.988163480920504e-05, + "loss": 0.7626, + "step": 111 + }, + { + "epoch": 0.06, + "learning_rate": 5.987665497000649e-05, + "loss": 0.779, + "step": 112 + }, + { + "epoch": 0.06, + "learning_rate": 5.987157273836414e-05, + "loss": 0.7776, + "step": 113 + }, + { + "epoch": 0.07, + "learning_rate": 5.986638813169568e-05, + "loss": 0.7062, + "step": 114 + }, + { + "epoch": 0.07, + "learning_rate": 5.986110116776966e-05, + "loss": 0.7489, + "step": 115 + }, + { + "epoch": 0.07, + "learning_rate": 5.98557118647054e-05, + "loss": 0.752, + "step": 116 + }, + { + "epoch": 0.07, + "learning_rate": 5.9850220240972986e-05, + "loss": 0.7192, + "step": 117 + }, + { + "epoch": 0.07, + "learning_rate": 5.984462631539314e-05, + "loss": 0.6469, + "step": 118 + }, + { + "epoch": 0.07, + "learning_rate": 5.983893010713722e-05, + "loss": 0.7975, + "step": 119 + }, + { + "epoch": 0.07, + "learning_rate": 5.9833131635727114e-05, + "loss": 0.6282, + "step": 120 + }, + { + "epoch": 0.07, + "learning_rate": 5.982723092103518e-05, + "loss": 0.926, + "step": 121 + }, + { + "epoch": 0.07, + "learning_rate": 5.9821227983284177e-05, + "loss": 0.7608, + "step": 122 + }, + { + "epoch": 0.07, + "learning_rate": 5.981512284304722e-05, + "loss": 0.7794, + "step": 123 + }, + { + "epoch": 0.07, + "learning_rate": 5.980891552124767e-05, + "loss": 0.7452, + "step": 124 + }, + { + "epoch": 0.07, + "learning_rate": 5.9802606039159084e-05, + "loss": 0.7814, + "step": 125 + }, + { + "epoch": 0.07, + "learning_rate": 5.979619441840515e-05, + "loss": 0.7865, + "step": 126 + }, + { + "epoch": 0.07, + "learning_rate": 5.97896806809596e-05, + "loss": 0.7994, + "step": 127 + }, + { + "epoch": 0.07, + "learning_rate": 5.978306484914613e-05, + "loss": 0.7883, + "step": 128 + }, + { + "epoch": 0.07, + "learning_rate": 5.977634694563833e-05, + "loss": 0.7384, + "step": 129 + }, + { + "epoch": 0.07, + "learning_rate": 5.976952699345961e-05, + "loss": 0.782, + "step": 130 + }, + { + "epoch": 0.07, + "learning_rate": 5.976260501598314e-05, + "loss": 0.731, + "step": 131 + }, + { + "epoch": 0.08, + "learning_rate": 5.975558103693171e-05, + "loss": 0.8177, + "step": 132 + }, + { + "epoch": 0.08, + "learning_rate": 5.9748455080377724e-05, + "loss": 0.8273, + "step": 133 + }, + { + "epoch": 0.08, + "learning_rate": 5.974122717074305e-05, + "loss": 0.7878, + "step": 134 + }, + { + "epoch": 0.08, + "learning_rate": 5.973389733279899e-05, + "loss": 0.7315, + "step": 135 + }, + { + "epoch": 0.08, + "learning_rate": 5.972646559166613e-05, + "loss": 0.7512, + "step": 136 + }, + { + "epoch": 0.08, + "learning_rate": 5.9718931972814365e-05, + "loss": 0.7192, + "step": 137 + }, + { + "epoch": 0.08, + "learning_rate": 5.97112965020627e-05, + "loss": 0.8082, + "step": 138 + }, + { + "epoch": 0.08, + "learning_rate": 5.970355920557919e-05, + "loss": 0.6569, + "step": 139 + }, + { + "epoch": 0.08, + "learning_rate": 5.96957201098809e-05, + "loss": 0.7265, + "step": 140 + }, + { + "epoch": 0.08, + "learning_rate": 5.968777924183375e-05, + "loss": 0.6206, + "step": 141 + }, + { + "epoch": 0.08, + "learning_rate": 5.967973662865247e-05, + "loss": 0.6747, + "step": 142 + }, + { + "epoch": 0.08, + "learning_rate": 5.967159229790047e-05, + "loss": 0.7292, + "step": 143 + }, + { + "epoch": 0.08, + "learning_rate": 5.96633462774898e-05, + "loss": 0.7897, + "step": 144 + }, + { + "epoch": 0.08, + "learning_rate": 5.965499859568095e-05, + "loss": 0.811, + "step": 145 + }, + { + "epoch": 0.08, + "learning_rate": 5.96465492810829e-05, + "loss": 0.7788, + "step": 146 + }, + { + "epoch": 0.08, + "learning_rate": 5.96379983626529e-05, + "loss": 0.7398, + "step": 147 + }, + { + "epoch": 0.08, + "learning_rate": 5.9629345869696416e-05, + "loss": 0.7591, + "step": 148 + }, + { + "epoch": 0.09, + "learning_rate": 5.962059183186704e-05, + "loss": 0.7619, + "step": 149 + }, + { + "epoch": 0.09, + "learning_rate": 5.961173627916635e-05, + "loss": 0.7297, + "step": 150 + }, + { + "epoch": 0.09, + "learning_rate": 5.9602779241943856e-05, + "loss": 0.6946, + "step": 151 + }, + { + "epoch": 0.09, + "learning_rate": 5.959372075089688e-05, + "loss": 0.716, + "step": 152 + }, + { + "epoch": 0.09, + "learning_rate": 5.958456083707043e-05, + "loss": 0.7513, + "step": 153 + }, + { + "epoch": 0.09, + "learning_rate": 5.95752995318571e-05, + "loss": 0.7938, + "step": 154 + }, + { + "epoch": 0.09, + "learning_rate": 5.9565936866996975e-05, + "loss": 0.7685, + "step": 155 + }, + { + "epoch": 0.09, + "learning_rate": 5.955647287457753e-05, + "loss": 0.7462, + "step": 156 + }, + { + "epoch": 0.09, + "learning_rate": 5.95469075870335e-05, + "loss": 0.6855, + "step": 157 + }, + { + "epoch": 0.09, + "learning_rate": 5.953724103714676e-05, + "loss": 0.7388, + "step": 158 + }, + { + "epoch": 0.09, + "learning_rate": 5.952747325804625e-05, + "loss": 0.7249, + "step": 159 + }, + { + "epoch": 0.09, + "learning_rate": 5.951760428320784e-05, + "loss": 0.6309, + "step": 160 + }, + { + "epoch": 0.09, + "learning_rate": 5.95076341464542e-05, + "loss": 0.7213, + "step": 161 + }, + { + "epoch": 0.09, + "learning_rate": 5.949756288195469e-05, + "loss": 0.7135, + "step": 162 + }, + { + "epoch": 0.09, + "learning_rate": 5.948739052422529e-05, + "loss": 0.7328, + "step": 163 + }, + { + "epoch": 0.09, + "learning_rate": 5.947711710812842e-05, + "loss": 0.6184, + "step": 164 + }, + { + "epoch": 0.09, + "learning_rate": 5.946674266887284e-05, + "loss": 0.6402, + "step": 165 + }, + { + "epoch": 0.09, + "learning_rate": 5.945626724201354e-05, + "loss": 0.7407, + "step": 166 + }, + { + "epoch": 0.1, + "learning_rate": 5.944569086345162e-05, + "loss": 0.693, + "step": 167 + }, + { + "epoch": 0.1, + "learning_rate": 5.943501356943415e-05, + "loss": 0.755, + "step": 168 + }, + { + "epoch": 0.1, + "learning_rate": 5.942423539655405e-05, + "loss": 0.6781, + "step": 169 + }, + { + "epoch": 0.1, + "learning_rate": 5.9413356381749986e-05, + "loss": 0.672, + "step": 170 + }, + { + "epoch": 0.1, + "learning_rate": 5.94023765623062e-05, + "loss": 0.7465, + "step": 171 + }, + { + "epoch": 0.1, + "learning_rate": 5.9391295975852437e-05, + "loss": 0.6744, + "step": 172 + }, + { + "epoch": 0.1, + "learning_rate": 5.938011466036377e-05, + "loss": 0.7075, + "step": 173 + }, + { + "epoch": 0.1, + "learning_rate": 5.936883265416049e-05, + "loss": 0.7211, + "step": 174 + }, + { + "epoch": 0.1, + "learning_rate": 5.9357449995907996e-05, + "loss": 0.7152, + "step": 175 + }, + { + "epoch": 0.1, + "learning_rate": 5.93459667246166e-05, + "loss": 0.6104, + "step": 176 + }, + { + "epoch": 0.1, + "learning_rate": 5.9334382879641456e-05, + "loss": 0.6559, + "step": 177 + }, + { + "epoch": 0.1, + "learning_rate": 5.932269850068239e-05, + "loss": 0.7635, + "step": 178 + }, + { + "epoch": 0.1, + "learning_rate": 5.93109136277838e-05, + "loss": 0.7246, + "step": 179 + }, + { + "epoch": 0.1, + "learning_rate": 5.929902830133445e-05, + "loss": 0.6343, + "step": 180 + }, + { + "epoch": 0.1, + "learning_rate": 5.9287042562067426e-05, + "loss": 0.7213, + "step": 181 + }, + { + "epoch": 0.1, + "learning_rate": 5.92749564510599e-05, + "loss": 0.6929, + "step": 182 + }, + { + "epoch": 0.1, + "learning_rate": 5.926277000973307e-05, + "loss": 0.7319, + "step": 183 + }, + { + "epoch": 0.11, + "learning_rate": 5.925048327985197e-05, + "loss": 0.7095, + "step": 184 + }, + { + "epoch": 0.11, + "learning_rate": 5.9238096303525346e-05, + "loss": 0.5801, + "step": 185 + }, + { + "epoch": 0.11, + "learning_rate": 5.922560912320548e-05, + "loss": 0.8254, + "step": 186 + }, + { + "epoch": 0.11, + "learning_rate": 5.9213021781688104e-05, + "loss": 0.8144, + "step": 187 + }, + { + "epoch": 0.11, + "learning_rate": 5.9200334322112206e-05, + "loss": 0.714, + "step": 188 + }, + { + "epoch": 0.11, + "learning_rate": 5.918754678795989e-05, + "loss": 0.7328, + "step": 189 + }, + { + "epoch": 0.11, + "learning_rate": 5.9174659223056236e-05, + "loss": 0.644, + "step": 190 + }, + { + "epoch": 0.11, + "learning_rate": 5.9161671671569165e-05, + "loss": 0.668, + "step": 191 + }, + { + "epoch": 0.11, + "learning_rate": 5.914858417800923e-05, + "loss": 0.7877, + "step": 192 + }, + { + "epoch": 0.11, + "learning_rate": 5.9135396787229554e-05, + "loss": 0.7266, + "step": 193 + }, + { + "epoch": 0.11, + "learning_rate": 5.912210954442558e-05, + "loss": 0.6286, + "step": 194 + }, + { + "epoch": 0.11, + "learning_rate": 5.910872249513498e-05, + "loss": 0.7273, + "step": 195 + }, + { + "epoch": 0.11, + "learning_rate": 5.9095235685237476e-05, + "loss": 0.5564, + "step": 196 + }, + { + "epoch": 0.11, + "learning_rate": 5.90816491609547e-05, + "loss": 0.6883, + "step": 197 + }, + { + "epoch": 0.11, + "learning_rate": 5.906796296885e-05, + "loss": 0.7348, + "step": 198 + }, + { + "epoch": 0.11, + "learning_rate": 5.905417715582831e-05, + "loss": 0.7364, + "step": 199 + }, + { + "epoch": 0.11, + "learning_rate": 5.9040291769135996e-05, + "loss": 0.75, + "step": 200 + }, + { + "epoch": 0.11, + "learning_rate": 5.9026306856360675e-05, + "loss": 0.7007, + "step": 201 + }, + { + "epoch": 0.12, + "learning_rate": 5.901222246543105e-05, + "loss": 0.7138, + "step": 202 + }, + { + "epoch": 0.12, + "learning_rate": 5.8998038644616736e-05, + "loss": 0.6187, + "step": 203 + }, + { + "epoch": 0.12, + "learning_rate": 5.898375544252816e-05, + "loss": 0.7636, + "step": 204 + }, + { + "epoch": 0.12, + "learning_rate": 5.8969372908116296e-05, + "loss": 0.7033, + "step": 205 + }, + { + "epoch": 0.12, + "learning_rate": 5.895489109067258e-05, + "loss": 0.6516, + "step": 206 + }, + { + "epoch": 0.12, + "learning_rate": 5.894031003982868e-05, + "loss": 0.7494, + "step": 207 + }, + { + "epoch": 0.12, + "learning_rate": 5.892562980555638e-05, + "loss": 0.7549, + "step": 208 + }, + { + "epoch": 0.12, + "learning_rate": 5.891085043816737e-05, + "loss": 0.6532, + "step": 209 + }, + { + "epoch": 0.12, + "learning_rate": 5.889597198831308e-05, + "loss": 0.6035, + "step": 210 + }, + { + "epoch": 0.12, + "learning_rate": 5.888099450698455e-05, + "loss": 0.7376, + "step": 211 + }, + { + "epoch": 0.12, + "learning_rate": 5.8865918045512155e-05, + "loss": 0.6737, + "step": 212 + }, + { + "epoch": 0.12, + "learning_rate": 5.8850742655565544e-05, + "loss": 0.6679, + "step": 213 + }, + { + "epoch": 0.12, + "learning_rate": 5.8835468389153386e-05, + "loss": 0.6503, + "step": 214 + }, + { + "epoch": 0.12, + "learning_rate": 5.8820095298623216e-05, + "loss": 0.4894, + "step": 215 + }, + { + "epoch": 0.12, + "learning_rate": 5.8804623436661286e-05, + "loss": 0.6626, + "step": 216 + }, + { + "epoch": 0.12, + "learning_rate": 5.878905285629231e-05, + "loss": 0.5449, + "step": 217 + }, + { + "epoch": 0.12, + "learning_rate": 5.8773383610879364e-05, + "loss": 0.6856, + "step": 218 + }, + { + "epoch": 0.13, + "learning_rate": 5.875761575412365e-05, + "loss": 0.5696, + "step": 219 + }, + { + "epoch": 0.13, + "learning_rate": 5.874174934006432e-05, + "loss": 0.6401, + "step": 220 + }, + { + "epoch": 0.13, + "learning_rate": 5.872578442307832e-05, + "loss": 0.5707, + "step": 221 + }, + { + "epoch": 0.13, + "learning_rate": 5.8709721057880155e-05, + "loss": 0.6698, + "step": 222 + }, + { + "epoch": 0.13, + "learning_rate": 5.869355929952177e-05, + "loss": 0.7763, + "step": 223 + }, + { + "epoch": 0.13, + "learning_rate": 5.867729920339227e-05, + "loss": 0.7344, + "step": 224 + }, + { + "epoch": 0.13, + "learning_rate": 5.866094082521781e-05, + "loss": 0.6473, + "step": 225 + }, + { + "epoch": 0.13, + "learning_rate": 5.8644484221061396e-05, + "loss": 0.6822, + "step": 226 + }, + { + "epoch": 0.13, + "learning_rate": 5.862792944732261e-05, + "loss": 0.6705, + "step": 227 + }, + { + "epoch": 0.13, + "learning_rate": 5.861127656073754e-05, + "loss": 0.6624, + "step": 228 + }, + { + "epoch": 0.13, + "learning_rate": 5.859452561837849e-05, + "loss": 0.6099, + "step": 229 + }, + { + "epoch": 0.13, + "learning_rate": 5.8577676677653816e-05, + "loss": 0.7413, + "step": 230 + }, + { + "epoch": 0.13, + "learning_rate": 5.8560729796307745e-05, + "loss": 0.6979, + "step": 231 + }, + { + "epoch": 0.13, + "learning_rate": 5.8543685032420165e-05, + "loss": 0.7245, + "step": 232 + }, + { + "epoch": 0.13, + "learning_rate": 5.852654244440642e-05, + "loss": 0.6479, + "step": 233 + }, + { + "epoch": 0.13, + "learning_rate": 5.8509302091017096e-05, + "loss": 0.7111, + "step": 234 + }, + { + "epoch": 0.13, + "learning_rate": 5.849196403133787e-05, + "loss": 0.7985, + "step": 235 + }, + { + "epoch": 0.13, + "learning_rate": 5.847452832478926e-05, + "loss": 0.6946, + "step": 236 + }, + { + "epoch": 0.14, + "learning_rate": 5.845699503112643e-05, + "loss": 0.6524, + "step": 237 + }, + { + "epoch": 0.14, + "learning_rate": 5.8439364210438996e-05, + "loss": 0.6167, + "step": 238 + }, + { + "epoch": 0.14, + "learning_rate": 5.842163592315082e-05, + "loss": 0.6808, + "step": 239 + }, + { + "epoch": 0.14, + "learning_rate": 5.84038102300198e-05, + "loss": 0.6548, + "step": 240 + }, + { + "epoch": 0.14, + "learning_rate": 5.8385887192137664e-05, + "loss": 0.6378, + "step": 241 + }, + { + "epoch": 0.14, + "learning_rate": 5.8367866870929726e-05, + "loss": 0.6342, + "step": 242 + }, + { + "epoch": 0.14, + "learning_rate": 5.8349749328154755e-05, + "loss": 0.5874, + "step": 243 + }, + { + "epoch": 0.14, + "learning_rate": 5.8331534625904685e-05, + "loss": 0.5683, + "step": 244 + }, + { + "epoch": 0.14, + "learning_rate": 5.831322282660444e-05, + "loss": 0.6418, + "step": 245 + }, + { + "epoch": 0.14, + "learning_rate": 5.82948139930117e-05, + "loss": 0.6256, + "step": 246 + }, + { + "epoch": 0.14, + "learning_rate": 5.827630818821672e-05, + "loss": 0.5335, + "step": 247 + }, + { + "epoch": 0.14, + "learning_rate": 5.825770547564209e-05, + "loss": 0.6189, + "step": 248 + }, + { + "epoch": 0.14, + "learning_rate": 5.82390059190425e-05, + "loss": 0.5732, + "step": 249 + }, + { + "epoch": 0.14, + "learning_rate": 5.822020958250454e-05, + "loss": 0.68, + "step": 250 + }, + { + "epoch": 0.14, + "learning_rate": 5.8201316530446514e-05, + "loss": 0.6549, + "step": 251 + }, + { + "epoch": 0.14, + "learning_rate": 5.818232682761815e-05, + "loss": 0.5815, + "step": 252 + }, + { + "epoch": 0.14, + "learning_rate": 5.816324053910045e-05, + "loss": 0.5863, + "step": 253 + }, + { + "epoch": 0.15, + "learning_rate": 5.814405773030539e-05, + "loss": 0.6609, + "step": 254 + }, + { + "epoch": 0.15, + "learning_rate": 5.8124778466975785e-05, + "loss": 0.7245, + "step": 255 + }, + { + "epoch": 0.15, + "learning_rate": 5.810540281518497e-05, + "loss": 0.7186, + "step": 256 + }, + { + "epoch": 0.15, + "learning_rate": 5.808593084133665e-05, + "loss": 0.6909, + "step": 257 + }, + { + "epoch": 0.15, + "learning_rate": 5.806636261216464e-05, + "loss": 0.6229, + "step": 258 + }, + { + "epoch": 0.15, + "learning_rate": 5.804669819473263e-05, + "loss": 0.6927, + "step": 259 + }, + { + "epoch": 0.15, + "learning_rate": 5.8026937656433966e-05, + "loss": 0.6648, + "step": 260 + }, + { + "epoch": 0.15, + "learning_rate": 5.8007081064991405e-05, + "loss": 0.6513, + "step": 261 + }, + { + "epoch": 0.15, + "learning_rate": 5.7987128488456934e-05, + "loss": 0.6407, + "step": 262 + }, + { + "epoch": 0.15, + "learning_rate": 5.796707999521143e-05, + "loss": 0.6492, + "step": 263 + }, + { + "epoch": 0.15, + "learning_rate": 5.7946935653964575e-05, + "loss": 0.592, + "step": 264 + }, + { + "epoch": 0.15, + "learning_rate": 5.792669553375447e-05, + "loss": 0.5872, + "step": 265 + }, + { + "epoch": 0.15, + "learning_rate": 5.790635970394751e-05, + "loss": 0.701, + "step": 266 + }, + { + "epoch": 0.15, + "learning_rate": 5.788592823423809e-05, + "loss": 0.733, + "step": 267 + }, + { + "epoch": 0.15, + "learning_rate": 5.786540119464835e-05, + "loss": 0.6803, + "step": 268 + }, + { + "epoch": 0.15, + "learning_rate": 5.784477865552801e-05, + "loss": 0.6519, + "step": 269 + }, + { + "epoch": 0.15, + "learning_rate": 5.782406068755406e-05, + "loss": 0.7718, + "step": 270 + }, + { + "epoch": 0.15, + "learning_rate": 5.780324736173056e-05, + "loss": 0.7805, + "step": 271 + }, + { + "epoch": 0.16, + "learning_rate": 5.7782338749388346e-05, + "loss": 0.6972, + "step": 272 + }, + { + "epoch": 0.16, + "learning_rate": 5.776133492218484e-05, + "loss": 0.5952, + "step": 273 + }, + { + "epoch": 0.16, + "learning_rate": 5.7740235952103775e-05, + "loss": 0.7112, + "step": 274 + }, + { + "epoch": 0.16, + "learning_rate": 5.771904191145495e-05, + "loss": 0.6988, + "step": 275 + }, + { + "epoch": 0.16, + "learning_rate": 5.7697752872874015e-05, + "loss": 0.6954, + "step": 276 + }, + { + "epoch": 0.16, + "learning_rate": 5.767636890932215e-05, + "loss": 0.6717, + "step": 277 + }, + { + "epoch": 0.16, + "learning_rate": 5.7654890094085894e-05, + "loss": 0.6917, + "step": 278 + }, + { + "epoch": 0.16, + "learning_rate": 5.763331650077685e-05, + "loss": 0.6994, + "step": 279 + }, + { + "epoch": 0.16, + "learning_rate": 5.761164820333143e-05, + "loss": 0.6163, + "step": 280 + }, + { + "epoch": 0.16, + "learning_rate": 5.758988527601063e-05, + "loss": 0.6589, + "step": 281 + }, + { + "epoch": 0.16, + "learning_rate": 5.7568027793399745e-05, + "loss": 0.6546, + "step": 282 + }, + { + "epoch": 0.16, + "learning_rate": 5.754607583040813e-05, + "loss": 0.7278, + "step": 283 + }, + { + "epoch": 0.16, + "learning_rate": 5.7524029462268955e-05, + "loss": 0.6144, + "step": 284 + }, + { + "epoch": 0.16, + "learning_rate": 5.750188876453892e-05, + "loss": 0.5961, + "step": 285 + }, + { + "epoch": 0.16, + "learning_rate": 5.7479653813098e-05, + "loss": 0.6783, + "step": 286 + }, + { + "epoch": 0.16, + "learning_rate": 5.745732468414922e-05, + "loss": 0.6641, + "step": 287 + }, + { + "epoch": 0.16, + "learning_rate": 5.7434901454218346e-05, + "loss": 0.7654, + "step": 288 + }, + { + "epoch": 0.17, + "learning_rate": 5.741238420015363e-05, + "loss": 0.6898, + "step": 289 + }, + { + "epoch": 0.17, + "learning_rate": 5.7389772999125615e-05, + "loss": 0.5695, + "step": 290 + }, + { + "epoch": 0.17, + "learning_rate": 5.736706792862677e-05, + "loss": 0.7286, + "step": 291 + }, + { + "epoch": 0.17, + "learning_rate": 5.7344269066471264e-05, + "loss": 0.6705, + "step": 292 + }, + { + "epoch": 0.17, + "learning_rate": 5.732137649079475e-05, + "loss": 0.6626, + "step": 293 + }, + { + "epoch": 0.17, + "learning_rate": 5.7298390280054015e-05, + "loss": 0.6302, + "step": 294 + }, + { + "epoch": 0.17, + "learning_rate": 5.727531051302677e-05, + "loss": 0.6407, + "step": 295 + }, + { + "epoch": 0.17, + "learning_rate": 5.7252137268811355e-05, + "loss": 0.6594, + "step": 296 + }, + { + "epoch": 0.17, + "learning_rate": 5.7228870626826466e-05, + "loss": 0.6298, + "step": 297 + }, + { + "epoch": 0.17, + "learning_rate": 5.7205510666810886e-05, + "loss": 0.6461, + "step": 298 + }, + { + "epoch": 0.17, + "learning_rate": 5.718205746882324e-05, + "loss": 0.5778, + "step": 299 + }, + { + "epoch": 0.17, + "learning_rate": 5.715851111324166e-05, + "loss": 0.7531, + "step": 300 + }, + { + "epoch": 0.17, + "learning_rate": 5.713487168076358e-05, + "loss": 0.6711, + "step": 301 + }, + { + "epoch": 0.17, + "learning_rate": 5.7111139252405386e-05, + "loss": 0.6579, + "step": 302 + }, + { + "epoch": 0.17, + "learning_rate": 5.708731390950223e-05, + "loss": 0.6604, + "step": 303 + }, + { + "epoch": 0.17, + "learning_rate": 5.706339573370763e-05, + "loss": 0.6629, + "step": 304 + }, + { + "epoch": 0.17, + "learning_rate": 5.7039384806993325e-05, + "loss": 0.6145, + "step": 305 + }, + { + "epoch": 0.17, + "learning_rate": 5.701528121164888e-05, + "loss": 0.6972, + "step": 306 + }, + { + "epoch": 0.18, + "learning_rate": 5.699108503028148e-05, + "loss": 0.6954, + "step": 307 + }, + { + "epoch": 0.18, + "learning_rate": 5.69667963458156e-05, + "loss": 0.6443, + "step": 308 + }, + { + "epoch": 0.18, + "learning_rate": 5.694241524149275e-05, + "loss": 0.7057, + "step": 309 + }, + { + "epoch": 0.18, + "learning_rate": 5.6917941800871174e-05, + "loss": 0.6329, + "step": 310 + }, + { + "epoch": 0.18, + "learning_rate": 5.689337610782556e-05, + "loss": 0.6321, + "step": 311 + }, + { + "epoch": 0.18, + "learning_rate": 5.6868718246546784e-05, + "loss": 0.585, + "step": 312 + }, + { + "epoch": 0.18, + "learning_rate": 5.684396830154159e-05, + "loss": 0.7032, + "step": 313 + }, + { + "epoch": 0.18, + "learning_rate": 5.6819126357632276e-05, + "loss": 0.7091, + "step": 314 + }, + { + "epoch": 0.18, + "learning_rate": 5.679419249995649e-05, + "loss": 0.5934, + "step": 315 + }, + { + "epoch": 0.18, + "learning_rate": 5.676916681396685e-05, + "loss": 0.6142, + "step": 316 + }, + { + "epoch": 0.18, + "learning_rate": 5.674404938543069e-05, + "loss": 0.6012, + "step": 317 + }, + { + "epoch": 0.18, + "learning_rate": 5.671884030042977e-05, + "loss": 0.6012, + "step": 318 + }, + { + "epoch": 0.18, + "learning_rate": 5.6693539645359954e-05, + "loss": 0.6252, + "step": 319 + }, + { + "epoch": 0.18, + "learning_rate": 5.666814750693097e-05, + "loss": 0.631, + "step": 320 + }, + { + "epoch": 0.18, + "learning_rate": 5.6642663972166024e-05, + "loss": 0.7406, + "step": 321 + }, + { + "epoch": 0.18, + "learning_rate": 5.66170891284016e-05, + "loss": 0.6488, + "step": 322 + }, + { + "epoch": 0.18, + "learning_rate": 5.659142306328709e-05, + "loss": 0.644, + "step": 323 + }, + { + "epoch": 0.19, + "learning_rate": 5.656566586478451e-05, + "loss": 0.676, + "step": 324 + }, + { + "epoch": 0.19, + "learning_rate": 5.653981762116823e-05, + "loss": 0.6449, + "step": 325 + }, + { + "epoch": 0.19, + "learning_rate": 5.6513878421024626e-05, + "loss": 0.6455, + "step": 326 + }, + { + "epoch": 0.19, + "learning_rate": 5.648784835325181e-05, + "loss": 0.7671, + "step": 327 + }, + { + "epoch": 0.19, + "learning_rate": 5.64617275070593e-05, + "loss": 0.6483, + "step": 328 + }, + { + "epoch": 0.19, + "learning_rate": 5.643551597196775e-05, + "loss": 0.6397, + "step": 329 + }, + { + "epoch": 0.19, + "learning_rate": 5.64092138378086e-05, + "loss": 0.6344, + "step": 330 + }, + { + "epoch": 0.19, + "learning_rate": 5.63828211947238e-05, + "loss": 0.6106, + "step": 331 + }, + { + "epoch": 0.19, + "learning_rate": 5.635633813316547e-05, + "loss": 0.6624, + "step": 332 + }, + { + "epoch": 0.19, + "learning_rate": 5.632976474389563e-05, + "loss": 0.7013, + "step": 333 + }, + { + "epoch": 0.19, + "learning_rate": 5.630310111798588e-05, + "loss": 0.6031, + "step": 334 + }, + { + "epoch": 0.19, + "learning_rate": 5.627634734681704e-05, + "loss": 0.5972, + "step": 335 + }, + { + "epoch": 0.19, + "learning_rate": 5.624950352207889e-05, + "loss": 0.6309, + "step": 336 + }, + { + "epoch": 0.19, + "learning_rate": 5.622256973576987e-05, + "loss": 0.6263, + "step": 337 + }, + { + "epoch": 0.19, + "learning_rate": 5.619554608019668e-05, + "loss": 0.6415, + "step": 338 + }, + { + "epoch": 0.19, + "learning_rate": 5.6168432647974055e-05, + "loss": 0.6006, + "step": 339 + }, + { + "epoch": 0.19, + "learning_rate": 5.614122953202439e-05, + "loss": 0.7122, + "step": 340 + }, + { + "epoch": 0.19, + "learning_rate": 5.611393682557746e-05, + "loss": 0.7262, + "step": 341 + }, + { + "epoch": 0.2, + "learning_rate": 5.6086554622170054e-05, + "loss": 0.6598, + "step": 342 + }, + { + "epoch": 0.2, + "learning_rate": 5.605908301564572e-05, + "loss": 0.5706, + "step": 343 + }, + { + "epoch": 0.2, + "learning_rate": 5.603152210015438e-05, + "loss": 0.626, + "step": 344 + }, + { + "epoch": 0.2, + "learning_rate": 5.600387197015205e-05, + "loss": 0.5883, + "step": 345 + }, + { + "epoch": 0.2, + "learning_rate": 5.597613272040046e-05, + "loss": 0.5746, + "step": 346 + }, + { + "epoch": 0.2, + "learning_rate": 5.594830444596683e-05, + "loss": 0.5624, + "step": 347 + }, + { + "epoch": 0.2, + "learning_rate": 5.592038724222343e-05, + "loss": 0.5439, + "step": 348 + }, + { + "epoch": 0.2, + "learning_rate": 5.5892381204847344e-05, + "loss": 0.5579, + "step": 349 + }, + { + "epoch": 0.2, + "learning_rate": 5.586428642982007e-05, + "loss": 0.5372, + "step": 350 + }, + { + "epoch": 0.2, + "learning_rate": 5.5836103013427235e-05, + "loss": 0.5842, + "step": 351 + }, + { + "epoch": 0.2, + "learning_rate": 5.58078310522583e-05, + "loss": 0.6413, + "step": 352 + }, + { + "epoch": 0.2, + "learning_rate": 5.5779470643206105e-05, + "loss": 0.6746, + "step": 353 + }, + { + "epoch": 0.2, + "learning_rate": 5.5751021883466687e-05, + "loss": 0.7076, + "step": 354 + }, + { + "epoch": 0.2, + "learning_rate": 5.572248487053883e-05, + "loss": 0.7278, + "step": 355 + }, + { + "epoch": 0.2, + "learning_rate": 5.56938597022238e-05, + "loss": 0.7096, + "step": 356 + }, + { + "epoch": 0.2, + "learning_rate": 5.566514647662498e-05, + "loss": 0.6924, + "step": 357 + }, + { + "epoch": 0.2, + "learning_rate": 5.563634529214755e-05, + "loss": 0.7124, + "step": 358 + }, + { + "epoch": 0.21, + "learning_rate": 5.560745624749811e-05, + "loss": 0.6667, + "step": 359 + }, + { + "epoch": 0.21, + "learning_rate": 5.5578479441684415e-05, + "loss": 0.614, + "step": 360 + }, + { + "epoch": 0.21, + "learning_rate": 5.5549414974014955e-05, + "loss": 0.651, + "step": 361 + }, + { + "epoch": 0.21, + "learning_rate": 5.552026294409867e-05, + "loss": 0.7553, + "step": 362 + }, + { + "epoch": 0.21, + "learning_rate": 5.549102345184461e-05, + "loss": 0.5909, + "step": 363 + }, + { + "epoch": 0.21, + "learning_rate": 5.546169659746151e-05, + "loss": 0.5747, + "step": 364 + }, + { + "epoch": 0.21, + "learning_rate": 5.54322824814576e-05, + "loss": 0.6266, + "step": 365 + }, + { + "epoch": 0.21, + "learning_rate": 5.540278120464008e-05, + "loss": 0.5417, + "step": 366 + }, + { + "epoch": 0.21, + "learning_rate": 5.537319286811495e-05, + "loss": 0.5682, + "step": 367 + }, + { + "epoch": 0.21, + "learning_rate": 5.534351757328651e-05, + "loss": 0.6691, + "step": 368 + }, + { + "epoch": 0.21, + "learning_rate": 5.5313755421857105e-05, + "loss": 0.7497, + "step": 369 + }, + { + "epoch": 0.21, + "learning_rate": 5.528390651582677e-05, + "loss": 0.6403, + "step": 370 + }, + { + "epoch": 0.21, + "learning_rate": 5.525397095749284e-05, + "loss": 0.6983, + "step": 371 + }, + { + "epoch": 0.21, + "learning_rate": 5.522394884944964e-05, + "loss": 0.614, + "step": 372 + }, + { + "epoch": 0.21, + "learning_rate": 5.519384029458809e-05, + "loss": 0.6517, + "step": 373 + }, + { + "epoch": 0.21, + "learning_rate": 5.5163645396095406e-05, + "loss": 0.6558, + "step": 374 + }, + { + "epoch": 0.21, + "learning_rate": 5.513336425745471e-05, + "loss": 0.6424, + "step": 375 + }, + { + "epoch": 0.21, + "learning_rate": 5.5102996982444676e-05, + "loss": 0.7108, + "step": 376 + }, + { + "epoch": 0.22, + "learning_rate": 5.507254367513919e-05, + "loss": 0.6603, + "step": 377 + }, + { + "epoch": 0.22, + "learning_rate": 5.504200443990697e-05, + "loss": 0.6206, + "step": 378 + }, + { + "epoch": 0.22, + "learning_rate": 5.5011379381411254e-05, + "loss": 0.6693, + "step": 379 + }, + { + "epoch": 0.22, + "learning_rate": 5.4980668604609386e-05, + "loss": 0.6484, + "step": 380 + }, + { + "epoch": 0.22, + "learning_rate": 5.4949872214752495e-05, + "loss": 0.5783, + "step": 381 + }, + { + "epoch": 0.22, + "learning_rate": 5.4918990317385095e-05, + "loss": 0.684, + "step": 382 + }, + { + "epoch": 0.22, + "learning_rate": 5.488802301834479e-05, + "loss": 0.6076, + "step": 383 + }, + { + "epoch": 0.22, + "learning_rate": 5.485697042376185e-05, + "loss": 0.6367, + "step": 384 + }, + { + "epoch": 0.22, + "learning_rate": 5.4825832640058855e-05, + "loss": 0.7193, + "step": 385 + }, + { + "epoch": 0.22, + "learning_rate": 5.479460977395035e-05, + "loss": 0.6918, + "step": 386 + }, + { + "epoch": 0.22, + "learning_rate": 5.476330193244249e-05, + "loss": 0.6837, + "step": 387 + }, + { + "epoch": 0.22, + "learning_rate": 5.473190922283264e-05, + "loss": 0.6559, + "step": 388 + }, + { + "epoch": 0.22, + "learning_rate": 5.470043175270901e-05, + "loss": 0.7073, + "step": 389 + }, + { + "epoch": 0.22, + "learning_rate": 5.4668869629950325e-05, + "loss": 0.5664, + "step": 390 + }, + { + "epoch": 0.22, + "learning_rate": 5.4637222962725416e-05, + "loss": 0.6026, + "step": 391 + }, + { + "epoch": 0.22, + "learning_rate": 5.460549185949287e-05, + "loss": 0.7343, + "step": 392 + }, + { + "epoch": 0.22, + "learning_rate": 5.457367642900063e-05, + "loss": 0.6989, + "step": 393 + }, + { + "epoch": 0.23, + "learning_rate": 5.454177678028566e-05, + "loss": 0.5763, + "step": 394 + }, + { + "epoch": 0.23, + "learning_rate": 5.4509793022673566e-05, + "loss": 0.5589, + "step": 395 + }, + { + "epoch": 0.23, + "learning_rate": 5.447772526577819e-05, + "loss": 0.6426, + "step": 396 + }, + { + "epoch": 0.23, + "learning_rate": 5.444557361950124e-05, + "loss": 0.5671, + "step": 397 + }, + { + "epoch": 0.23, + "learning_rate": 5.441333819403198e-05, + "loss": 0.6228, + "step": 398 + }, + { + "epoch": 0.23, + "learning_rate": 5.438101909984673e-05, + "loss": 0.5886, + "step": 399 + }, + { + "epoch": 0.23, + "learning_rate": 5.434861644770863e-05, + "loss": 0.5241, + "step": 400 + }, + { + "epoch": 0.23, + "learning_rate": 5.431613034866713e-05, + "loss": 0.6338, + "step": 401 + }, + { + "epoch": 0.23, + "learning_rate": 5.4283560914057696e-05, + "loss": 0.5538, + "step": 402 + }, + { + "epoch": 0.23, + "learning_rate": 5.425090825550138e-05, + "loss": 0.6083, + "step": 403 + }, + { + "epoch": 0.23, + "learning_rate": 5.421817248490448e-05, + "loss": 0.5177, + "step": 404 + }, + { + "epoch": 0.23, + "learning_rate": 5.418535371445812e-05, + "loss": 0.5419, + "step": 405 + }, + { + "epoch": 0.23, + "learning_rate": 5.415245205663788e-05, + "loss": 0.6183, + "step": 406 + }, + { + "epoch": 0.23, + "learning_rate": 5.4119467624203406e-05, + "loss": 0.6466, + "step": 407 + }, + { + "epoch": 0.23, + "learning_rate": 5.408640053019803e-05, + "loss": 0.6683, + "step": 408 + }, + { + "epoch": 0.23, + "learning_rate": 5.405325088794839e-05, + "loss": 0.6281, + "step": 409 + }, + { + "epoch": 0.23, + "learning_rate": 5.402001881106401e-05, + "loss": 0.6565, + "step": 410 + }, + { + "epoch": 0.23, + "learning_rate": 5.398670441343694e-05, + "loss": 0.826, + "step": 411 + }, + { + "epoch": 0.24, + "learning_rate": 5.395330780924137e-05, + "loss": 0.6361, + "step": 412 + }, + { + "epoch": 0.24, + "learning_rate": 5.391982911293322e-05, + "loss": 0.6692, + "step": 413 + }, + { + "epoch": 0.24, + "learning_rate": 5.388626843924974e-05, + "loss": 0.6396, + "step": 414 + }, + { + "epoch": 0.24, + "learning_rate": 5.385262590320914e-05, + "loss": 0.6021, + "step": 415 + }, + { + "epoch": 0.24, + "learning_rate": 5.38189016201102e-05, + "loss": 0.6446, + "step": 416 + }, + { + "epoch": 0.24, + "learning_rate": 5.378509570553183e-05, + "loss": 0.6185, + "step": 417 + }, + { + "epoch": 0.24, + "learning_rate": 5.375120827533274e-05, + "loss": 0.554, + "step": 418 + }, + { + "epoch": 0.24, + "learning_rate": 5.3717239445650984e-05, + "loss": 0.6648, + "step": 419 + }, + { + "epoch": 0.24, + "learning_rate": 5.368318933290358e-05, + "loss": 0.6407, + "step": 420 + }, + { + "epoch": 0.24, + "learning_rate": 5.364905805378615e-05, + "loss": 0.5317, + "step": 421 + }, + { + "epoch": 0.24, + "learning_rate": 5.361484572527247e-05, + "loss": 0.6342, + "step": 422 + }, + { + "epoch": 0.24, + "learning_rate": 5.3580552464614074e-05, + "loss": 0.5817, + "step": 423 + }, + { + "epoch": 0.24, + "learning_rate": 5.3546178389339865e-05, + "loss": 0.614, + "step": 424 + }, + { + "epoch": 0.24, + "learning_rate": 5.3511723617255746e-05, + "loss": 0.6035, + "step": 425 + }, + { + "epoch": 0.24, + "learning_rate": 5.347718826644413e-05, + "loss": 0.4957, + "step": 426 + }, + { + "epoch": 0.24, + "learning_rate": 5.344257245526363e-05, + "loss": 0.6218, + "step": 427 + }, + { + "epoch": 0.24, + "learning_rate": 5.340787630234861e-05, + "loss": 0.5338, + "step": 428 + }, + { + "epoch": 0.25, + "learning_rate": 5.337309992660873e-05, + "loss": 0.5457, + "step": 429 + }, + { + "epoch": 0.25, + "learning_rate": 5.333824344722864e-05, + "loss": 0.6001, + "step": 430 + }, + { + "epoch": 0.25, + "learning_rate": 5.330330698366749e-05, + "loss": 0.5815, + "step": 431 + }, + { + "epoch": 0.25, + "learning_rate": 5.326829065565857e-05, + "loss": 0.6294, + "step": 432 + }, + { + "epoch": 0.25, + "learning_rate": 5.323319458320886e-05, + "loss": 0.5347, + "step": 433 + }, + { + "epoch": 0.25, + "learning_rate": 5.319801888659866e-05, + "loss": 0.5605, + "step": 434 + }, + { + "epoch": 0.25, + "learning_rate": 5.3162763686381125e-05, + "loss": 0.5103, + "step": 435 + }, + { + "epoch": 0.25, + "learning_rate": 5.312742910338192e-05, + "loss": 0.4829, + "step": 436 + }, + { + "epoch": 0.25, + "learning_rate": 5.3092015258698736e-05, + "loss": 0.6467, + "step": 437 + }, + { + "epoch": 0.25, + "learning_rate": 5.3056522273700905e-05, + "loss": 0.7278, + "step": 438 + }, + { + "epoch": 0.25, + "learning_rate": 5.302095027002904e-05, + "loss": 0.6381, + "step": 439 + }, + { + "epoch": 0.25, + "learning_rate": 5.298529936959449e-05, + "loss": 0.584, + "step": 440 + }, + { + "epoch": 0.25, + "learning_rate": 5.2949569694579045e-05, + "loss": 0.5456, + "step": 441 + }, + { + "epoch": 0.25, + "learning_rate": 5.2913761367434464e-05, + "loss": 0.5252, + "step": 442 + }, + { + "epoch": 0.25, + "learning_rate": 5.287787451088204e-05, + "loss": 0.5806, + "step": 443 + }, + { + "epoch": 0.25, + "learning_rate": 5.284190924791222e-05, + "loss": 0.5732, + "step": 444 + }, + { + "epoch": 0.25, + "learning_rate": 5.2805865701784164e-05, + "loss": 0.6259, + "step": 445 + }, + { + "epoch": 0.25, + "learning_rate": 5.276974399602531e-05, + "loss": 0.5319, + "step": 446 + }, + { + "epoch": 0.26, + "learning_rate": 5.273354425443096e-05, + "loss": 0.7098, + "step": 447 + }, + { + "epoch": 0.26, + "learning_rate": 5.2697266601063864e-05, + "loss": 0.6121, + "step": 448 + }, + { + "epoch": 0.26, + "learning_rate": 5.26609111602538e-05, + "loss": 0.6479, + "step": 449 + }, + { + "epoch": 0.26, + "learning_rate": 5.2624478056597126e-05, + "loss": 0.5283, + "step": 450 + }, + { + "epoch": 0.26, + "learning_rate": 5.258796741495635e-05, + "loss": 0.5856, + "step": 451 + }, + { + "epoch": 0.26, + "learning_rate": 5.255137936045974e-05, + "loss": 0.6876, + "step": 452 + }, + { + "epoch": 0.26, + "learning_rate": 5.251471401850088e-05, + "loss": 0.5363, + "step": 453 + }, + { + "epoch": 0.26, + "learning_rate": 5.247797151473819e-05, + "loss": 0.5265, + "step": 454 + }, + { + "epoch": 0.26, + "learning_rate": 5.2441151975094566e-05, + "loss": 0.603, + "step": 455 + }, + { + "epoch": 0.26, + "learning_rate": 5.2404255525756914e-05, + "loss": 0.5615, + "step": 456 + }, + { + "epoch": 0.26, + "learning_rate": 5.236728229317573e-05, + "loss": 0.5103, + "step": 457 + }, + { + "epoch": 0.26, + "learning_rate": 5.233023240406464e-05, + "loss": 0.5616, + "step": 458 + }, + { + "epoch": 0.26, + "learning_rate": 5.229310598540001e-05, + "loss": 0.535, + "step": 459 + }, + { + "epoch": 0.26, + "learning_rate": 5.225590316442047e-05, + "loss": 0.6311, + "step": 460 + }, + { + "epoch": 0.26, + "learning_rate": 5.221862406862649e-05, + "loss": 0.6247, + "step": 461 + }, + { + "epoch": 0.26, + "learning_rate": 5.218126882577995e-05, + "loss": 0.5567, + "step": 462 + }, + { + "epoch": 0.26, + "learning_rate": 5.2143837563903716e-05, + "loss": 0.6215, + "step": 463 + }, + { + "epoch": 0.27, + "learning_rate": 5.210633041128116e-05, + "loss": 0.6215, + "step": 464 + }, + { + "epoch": 0.27, + "learning_rate": 5.206874749645577e-05, + "loss": 0.6471, + "step": 465 + }, + { + "epoch": 0.27, + "learning_rate": 5.2031088948230655e-05, + "loss": 0.6479, + "step": 466 + }, + { + "epoch": 0.27, + "learning_rate": 5.199335489566815e-05, + "loss": 0.6193, + "step": 467 + }, + { + "epoch": 0.27, + "learning_rate": 5.1955545468089364e-05, + "loss": 0.4993, + "step": 468 + }, + { + "epoch": 0.27, + "learning_rate": 5.1917660795073707e-05, + "loss": 0.5603, + "step": 469 + }, + { + "epoch": 0.27, + "learning_rate": 5.187970100645849e-05, + "loss": 0.7451, + "step": 470 + }, + { + "epoch": 0.27, + "learning_rate": 5.184166623233844e-05, + "loss": 0.4937, + "step": 471 + }, + { + "epoch": 0.27, + "learning_rate": 5.18035566030653e-05, + "loss": 0.6157, + "step": 472 + }, + { + "epoch": 0.27, + "learning_rate": 5.17653722492473e-05, + "loss": 0.5498, + "step": 473 + }, + { + "epoch": 0.27, + "learning_rate": 5.172711330174884e-05, + "loss": 0.5159, + "step": 474 + }, + { + "epoch": 0.27, + "learning_rate": 5.168877989168989e-05, + "loss": 0.6225, + "step": 475 + }, + { + "epoch": 0.27, + "learning_rate": 5.165037215044566e-05, + "loss": 0.6218, + "step": 476 + }, + { + "epoch": 0.27, + "learning_rate": 5.16118902096461e-05, + "loss": 0.5637, + "step": 477 + }, + { + "epoch": 0.27, + "learning_rate": 5.157333420117547e-05, + "loss": 0.6036, + "step": 478 + }, + { + "epoch": 0.27, + "learning_rate": 5.153470425717182e-05, + "loss": 0.6378, + "step": 479 + }, + { + "epoch": 0.27, + "learning_rate": 5.149600051002664e-05, + "loss": 0.7612, + "step": 480 + }, + { + "epoch": 0.27, + "learning_rate": 5.145722309238434e-05, + "loss": 0.6266, + "step": 481 + }, + { + "epoch": 0.28, + "learning_rate": 5.141837213714181e-05, + "loss": 0.6315, + "step": 482 + }, + { + "epoch": 0.28, + "learning_rate": 5.137944777744796e-05, + "loss": 0.6208, + "step": 483 + }, + { + "epoch": 0.28, + "learning_rate": 5.1340450146703285e-05, + "loss": 0.6062, + "step": 484 + }, + { + "epoch": 0.28, + "learning_rate": 5.130137937855937e-05, + "loss": 0.6455, + "step": 485 + }, + { + "epoch": 0.28, + "learning_rate": 5.1262235606918495e-05, + "loss": 0.6741, + "step": 486 + }, + { + "epoch": 0.28, + "learning_rate": 5.1223018965933086e-05, + "loss": 0.664, + "step": 487 + }, + { + "epoch": 0.28, + "learning_rate": 5.1183729590005335e-05, + "loss": 0.6298, + "step": 488 + }, + { + "epoch": 0.28, + "learning_rate": 5.114436761378671e-05, + "loss": 0.5044, + "step": 489 + }, + { + "epoch": 0.28, + "learning_rate": 5.1104933172177474e-05, + "loss": 0.5887, + "step": 490 + }, + { + "epoch": 0.28, + "learning_rate": 5.1065426400326255e-05, + "loss": 0.606, + "step": 491 + }, + { + "epoch": 0.28, + "learning_rate": 5.1025847433629577e-05, + "loss": 0.6814, + "step": 492 + }, + { + "epoch": 0.28, + "learning_rate": 5.0986196407731356e-05, + "loss": 0.6358, + "step": 493 + }, + { + "epoch": 0.28, + "learning_rate": 5.09464734585225e-05, + "loss": 0.5638, + "step": 494 + }, + { + "epoch": 0.28, + "learning_rate": 5.090667872214041e-05, + "loss": 0.5959, + "step": 495 + }, + { + "epoch": 0.28, + "learning_rate": 5.086681233496849e-05, + "loss": 0.6156, + "step": 496 + }, + { + "epoch": 0.28, + "learning_rate": 5.0826874433635714e-05, + "loss": 0.5617, + "step": 497 + }, + { + "epoch": 0.28, + "learning_rate": 5.078686515501616e-05, + "loss": 0.6044, + "step": 498 + }, + { + "epoch": 0.29, + "learning_rate": 5.0746784636228534e-05, + "loss": 0.5632, + "step": 499 + }, + { + "epoch": 0.29, + "learning_rate": 5.070663301463564e-05, + "loss": 0.5199, + "step": 500 + }, + { + "epoch": 0.29, + "learning_rate": 5.066641042784403e-05, + "loss": 0.5574, + "step": 501 + }, + { + "epoch": 0.29, + "learning_rate": 5.062611701370344e-05, + "loss": 0.5314, + "step": 502 + }, + { + "epoch": 0.29, + "learning_rate": 5.058575291030633e-05, + "loss": 0.6425, + "step": 503 + }, + { + "epoch": 0.29, + "learning_rate": 5.054531825598744e-05, + "loss": 0.5785, + "step": 504 + }, + { + "epoch": 0.29, + "learning_rate": 5.05048131893233e-05, + "loss": 0.5986, + "step": 505 + }, + { + "epoch": 0.29, + "learning_rate": 5.046423784913175e-05, + "loss": 0.6217, + "step": 506 + }, + { + "epoch": 0.29, + "learning_rate": 5.042359237447146e-05, + "loss": 0.5484, + "step": 507 + }, + { + "epoch": 0.29, + "learning_rate": 5.03828769046415e-05, + "loss": 0.6129, + "step": 508 + }, + { + "epoch": 0.29, + "learning_rate": 5.034209157918077e-05, + "loss": 0.615, + "step": 509 + }, + { + "epoch": 0.29, + "learning_rate": 5.030123653786763e-05, + "loss": 0.6129, + "step": 510 + }, + { + "epoch": 0.29, + "learning_rate": 5.0260311920719326e-05, + "loss": 0.615, + "step": 511 + }, + { + "epoch": 0.29, + "learning_rate": 5.02193178679916e-05, + "loss": 0.572, + "step": 512 + }, + { + "epoch": 0.29, + "learning_rate": 5.01782545201781e-05, + "loss": 0.6172, + "step": 513 + }, + { + "epoch": 0.29, + "learning_rate": 5.013712201801002e-05, + "loss": 0.6512, + "step": 514 + }, + { + "epoch": 0.29, + "learning_rate": 5.00959205024555e-05, + "loss": 0.6121, + "step": 515 + }, + { + "epoch": 0.29, + "learning_rate": 5.005465011471927e-05, + "loss": 0.5819, + "step": 516 + }, + { + "epoch": 0.3, + "learning_rate": 5.001331099624204e-05, + "loss": 0.4843, + "step": 517 + }, + { + "epoch": 0.3, + "learning_rate": 4.997190328870009e-05, + "loss": 0.4802, + "step": 518 + }, + { + "epoch": 0.3, + "learning_rate": 4.993042713400477e-05, + "loss": 0.5593, + "step": 519 + }, + { + "epoch": 0.3, + "learning_rate": 4.9888882674302004e-05, + "loss": 0.6294, + "step": 520 + }, + { + "epoch": 0.3, + "learning_rate": 4.984727005197182e-05, + "loss": 0.6327, + "step": 521 + }, + { + "epoch": 0.3, + "learning_rate": 4.9805589409627837e-05, + "loss": 0.4969, + "step": 522 + }, + { + "epoch": 0.3, + "learning_rate": 4.976384089011679e-05, + "loss": 0.6186, + "step": 523 + }, + { + "epoch": 0.3, + "learning_rate": 4.972202463651808e-05, + "loss": 0.5778, + "step": 524 + }, + { + "epoch": 0.3, + "learning_rate": 4.9680140792143174e-05, + "loss": 0.5423, + "step": 525 + }, + { + "epoch": 0.3, + "learning_rate": 4.963818950053525e-05, + "loss": 0.4906, + "step": 526 + }, + { + "epoch": 0.3, + "learning_rate": 4.9596170905468594e-05, + "loss": 0.5596, + "step": 527 + }, + { + "epoch": 0.3, + "learning_rate": 4.955408515094817e-05, + "loss": 0.5368, + "step": 528 + }, + { + "epoch": 0.3, + "learning_rate": 4.9511932381209126e-05, + "loss": 0.5309, + "step": 529 + }, + { + "epoch": 0.3, + "learning_rate": 4.946971274071625e-05, + "loss": 0.5674, + "step": 530 + }, + { + "epoch": 0.3, + "learning_rate": 4.9427426374163535e-05, + "loss": 0.5494, + "step": 531 + }, + { + "epoch": 0.3, + "learning_rate": 4.938507342647364e-05, + "loss": 0.631, + "step": 532 + }, + { + "epoch": 0.3, + "learning_rate": 4.93426540427974e-05, + "loss": 0.5246, + "step": 533 + }, + { + "epoch": 0.31, + "learning_rate": 4.930016836851338e-05, + "loss": 0.5858, + "step": 534 + }, + { + "epoch": 0.31, + "learning_rate": 4.925761654922728e-05, + "loss": 0.5856, + "step": 535 + }, + { + "epoch": 0.31, + "learning_rate": 4.9214998730771526e-05, + "loss": 0.6112, + "step": 536 + }, + { + "epoch": 0.31, + "learning_rate": 4.917231505920472e-05, + "loss": 0.5978, + "step": 537 + }, + { + "epoch": 0.31, + "learning_rate": 4.9129565680811157e-05, + "loss": 0.6475, + "step": 538 + }, + { + "epoch": 0.31, + "learning_rate": 4.908675074210034e-05, + "loss": 0.67, + "step": 539 + }, + { + "epoch": 0.31, + "learning_rate": 4.904387038980642e-05, + "loss": 0.5288, + "step": 540 + }, + { + "epoch": 0.31, + "learning_rate": 4.900092477088775e-05, + "loss": 0.5716, + "step": 541 + }, + { + "epoch": 0.31, + "learning_rate": 4.895791403252637e-05, + "loss": 0.5795, + "step": 542 + }, + { + "epoch": 0.31, + "learning_rate": 4.89148383221275e-05, + "loss": 0.5824, + "step": 543 + }, + { + "epoch": 0.31, + "learning_rate": 4.8871697787319015e-05, + "loss": 0.5552, + "step": 544 + }, + { + "epoch": 0.31, + "learning_rate": 4.882849257595096e-05, + "loss": 0.5514, + "step": 545 + }, + { + "epoch": 0.31, + "learning_rate": 4.8785222836095037e-05, + "loss": 0.5995, + "step": 546 + }, + { + "epoch": 0.31, + "learning_rate": 4.874188871604409e-05, + "loss": 0.6254, + "step": 547 + }, + { + "epoch": 0.31, + "learning_rate": 4.869849036431162e-05, + "loss": 0.5405, + "step": 548 + }, + { + "epoch": 0.31, + "learning_rate": 4.8655027929631265e-05, + "loss": 0.5808, + "step": 549 + }, + { + "epoch": 0.31, + "learning_rate": 4.861150156095627e-05, + "loss": 0.6099, + "step": 550 + }, + { + "epoch": 0.31, + "learning_rate": 4.856791140745899e-05, + "loss": 0.4649, + "step": 551 + }, + { + "epoch": 0.32, + "learning_rate": 4.8524257618530415e-05, + "loss": 0.5516, + "step": 552 + }, + { + "epoch": 0.32, + "learning_rate": 4.8480540343779564e-05, + "loss": 0.6138, + "step": 553 + }, + { + "epoch": 0.32, + "learning_rate": 4.8436759733033105e-05, + "loss": 0.5808, + "step": 554 + }, + { + "epoch": 0.32, + "learning_rate": 4.839291593633471e-05, + "loss": 0.6153, + "step": 555 + }, + { + "epoch": 0.32, + "learning_rate": 4.8349009103944636e-05, + "loss": 0.6472, + "step": 556 + }, + { + "epoch": 0.32, + "learning_rate": 4.830503938633916e-05, + "loss": 0.5075, + "step": 557 + }, + { + "epoch": 0.32, + "learning_rate": 4.8261006934210074e-05, + "loss": 0.5973, + "step": 558 + }, + { + "epoch": 0.32, + "learning_rate": 4.8216911898464184e-05, + "loss": 0.6352, + "step": 559 + }, + { + "epoch": 0.32, + "learning_rate": 4.8172754430222774e-05, + "loss": 0.5241, + "step": 560 + }, + { + "epoch": 0.32, + "learning_rate": 4.812853468082108e-05, + "loss": 0.6296, + "step": 561 + }, + { + "epoch": 0.32, + "learning_rate": 4.808425280180783e-05, + "loss": 0.5833, + "step": 562 + }, + { + "epoch": 0.32, + "learning_rate": 4.8039908944944626e-05, + "loss": 0.597, + "step": 563 + }, + { + "epoch": 0.32, + "learning_rate": 4.799550326220552e-05, + "loss": 0.5727, + "step": 564 + }, + { + "epoch": 0.32, + "learning_rate": 4.7951035905776435e-05, + "loss": 0.6011, + "step": 565 + }, + { + "epoch": 0.32, + "learning_rate": 4.790650702805465e-05, + "loss": 0.5076, + "step": 566 + }, + { + "epoch": 0.32, + "learning_rate": 4.786191678164831e-05, + "loss": 0.635, + "step": 567 + }, + { + "epoch": 0.32, + "learning_rate": 4.7817265319375885e-05, + "loss": 0.5674, + "step": 568 + }, + { + "epoch": 0.33, + "learning_rate": 4.7772552794265606e-05, + "loss": 0.6108, + "step": 569 + }, + { + "epoch": 0.33, + "learning_rate": 4.772777935955501e-05, + "loss": 0.6486, + "step": 570 + }, + { + "epoch": 0.33, + "learning_rate": 4.768294516869037e-05, + "loss": 0.5843, + "step": 571 + }, + { + "epoch": 0.33, + "learning_rate": 4.763805037532619e-05, + "loss": 0.6682, + "step": 572 + }, + { + "epoch": 0.33, + "learning_rate": 4.7593095133324656e-05, + "loss": 0.6469, + "step": 573 + }, + { + "epoch": 0.33, + "learning_rate": 4.7548079596755124e-05, + "loss": 0.5807, + "step": 574 + }, + { + "epoch": 0.33, + "learning_rate": 4.750300391989358e-05, + "loss": 0.6577, + "step": 575 + }, + { + "epoch": 0.33, + "learning_rate": 4.7457868257222165e-05, + "loss": 0.5877, + "step": 576 + }, + { + "epoch": 0.33, + "learning_rate": 4.741267276342856e-05, + "loss": 0.6347, + "step": 577 + }, + { + "epoch": 0.33, + "learning_rate": 4.736741759340549e-05, + "loss": 0.633, + "step": 578 + }, + { + "epoch": 0.33, + "learning_rate": 4.7322102902250237e-05, + "loss": 0.5845, + "step": 579 + }, + { + "epoch": 0.33, + "learning_rate": 4.7276728845264055e-05, + "loss": 0.714, + "step": 580 + }, + { + "epoch": 0.33, + "learning_rate": 4.723129557795165e-05, + "loss": 0.6143, + "step": 581 + }, + { + "epoch": 0.33, + "learning_rate": 4.7185803256020655e-05, + "loss": 0.601, + "step": 582 + }, + { + "epoch": 0.33, + "learning_rate": 4.714025203538109e-05, + "loss": 0.4893, + "step": 583 + }, + { + "epoch": 0.33, + "learning_rate": 4.709464207214485e-05, + "loss": 0.5607, + "step": 584 + }, + { + "epoch": 0.33, + "learning_rate": 4.704897352262513e-05, + "loss": 0.5229, + "step": 585 + }, + { + "epoch": 0.33, + "learning_rate": 4.7003246543335915e-05, + "loss": 0.4959, + "step": 586 + }, + { + "epoch": 0.34, + "learning_rate": 4.695746129099144e-05, + "loss": 0.4863, + "step": 587 + }, + { + "epoch": 0.34, + "learning_rate": 4.6911617922505656e-05, + "loss": 0.4787, + "step": 588 + }, + { + "epoch": 0.34, + "learning_rate": 4.686571659499168e-05, + "loss": 0.5803, + "step": 589 + }, + { + "epoch": 0.34, + "learning_rate": 4.6819757465761284e-05, + "loss": 0.4975, + "step": 590 + }, + { + "epoch": 0.34, + "learning_rate": 4.67737406923243e-05, + "loss": 0.6358, + "step": 591 + }, + { + "epoch": 0.34, + "learning_rate": 4.6727666432388144e-05, + "loss": 0.4482, + "step": 592 + }, + { + "epoch": 0.34, + "learning_rate": 4.668153484385727e-05, + "loss": 0.6314, + "step": 593 + }, + { + "epoch": 0.34, + "learning_rate": 4.6635346084832535e-05, + "loss": 0.5261, + "step": 594 + }, + { + "epoch": 0.34, + "learning_rate": 4.65891003136108e-05, + "loss": 0.4681, + "step": 595 + }, + { + "epoch": 0.34, + "learning_rate": 4.6542797688684294e-05, + "loss": 0.5335, + "step": 596 + }, + { + "epoch": 0.34, + "learning_rate": 4.6496438368740074e-05, + "loss": 0.6437, + "step": 597 + }, + { + "epoch": 0.34, + "learning_rate": 4.645002251265954e-05, + "loss": 0.6379, + "step": 598 + }, + { + "epoch": 0.34, + "learning_rate": 4.64035502795178e-05, + "loss": 0.6096, + "step": 599 + }, + { + "epoch": 0.34, + "learning_rate": 4.6357021828583215e-05, + "loss": 0.5648, + "step": 600 + }, + { + "epoch": 0.34, + "learning_rate": 4.63104373193168e-05, + "loss": 0.6142, + "step": 601 + }, + { + "epoch": 0.34, + "learning_rate": 4.626379691137169e-05, + "loss": 0.6019, + "step": 602 + }, + { + "epoch": 0.34, + "learning_rate": 4.621710076459262e-05, + "loss": 0.5394, + "step": 603 + }, + { + "epoch": 0.35, + "learning_rate": 4.6170349039015315e-05, + "loss": 0.521, + "step": 604 + }, + { + "epoch": 0.35, + "learning_rate": 4.612354189486598e-05, + "loss": 0.4978, + "step": 605 + }, + { + "epoch": 0.35, + "learning_rate": 4.607667949256079e-05, + "loss": 0.5498, + "step": 606 + }, + { + "epoch": 0.35, + "learning_rate": 4.6029761992705244e-05, + "loss": 0.6044, + "step": 607 + }, + { + "epoch": 0.35, + "learning_rate": 4.598278955609371e-05, + "loss": 0.6507, + "step": 608 + }, + { + "epoch": 0.35, + "learning_rate": 4.5935762343708824e-05, + "loss": 0.5649, + "step": 609 + }, + { + "epoch": 0.35, + "learning_rate": 4.588868051672094e-05, + "loss": 0.5302, + "step": 610 + }, + { + "epoch": 0.35, + "learning_rate": 4.584154423648759e-05, + "loss": 0.6148, + "step": 611 + }, + { + "epoch": 0.35, + "learning_rate": 4.579435366455293e-05, + "loss": 0.588, + "step": 612 + }, + { + "epoch": 0.35, + "learning_rate": 4.5747108962647174e-05, + "loss": 0.5365, + "step": 613 + }, + { + "epoch": 0.35, + "learning_rate": 4.569981029268607e-05, + "loss": 0.5883, + "step": 614 + }, + { + "epoch": 0.35, + "learning_rate": 4.5652457816770276e-05, + "loss": 0.6049, + "step": 615 + }, + { + "epoch": 0.35, + "learning_rate": 4.5605051697184925e-05, + "loss": 0.6156, + "step": 616 + }, + { + "epoch": 0.35, + "learning_rate": 4.555759209639894e-05, + "loss": 0.5564, + "step": 617 + }, + { + "epoch": 0.35, + "learning_rate": 4.551007917706453e-05, + "loss": 0.5499, + "step": 618 + }, + { + "epoch": 0.35, + "learning_rate": 4.546251310201668e-05, + "loss": 0.6176, + "step": 619 + }, + { + "epoch": 0.35, + "learning_rate": 4.541489403427252e-05, + "loss": 0.5354, + "step": 620 + }, + { + "epoch": 0.35, + "learning_rate": 4.536722213703079e-05, + "loss": 0.537, + "step": 621 + }, + { + "epoch": 0.36, + "learning_rate": 4.53194975736713e-05, + "loss": 0.5231, + "step": 622 + }, + { + "epoch": 0.36, + "learning_rate": 4.527172050775436e-05, + "loss": 0.6024, + "step": 623 + }, + { + "epoch": 0.36, + "learning_rate": 4.5223891103020194e-05, + "loss": 0.6454, + "step": 624 + }, + { + "epoch": 0.36, + "learning_rate": 4.517600952338841e-05, + "loss": 0.6019, + "step": 625 + }, + { + "epoch": 0.36, + "learning_rate": 4.512807593295744e-05, + "loss": 0.6866, + "step": 626 + }, + { + "epoch": 0.36, + "learning_rate": 4.508009049600395e-05, + "loss": 0.6716, + "step": 627 + }, + { + "epoch": 0.36, + "learning_rate": 4.5032053376982296e-05, + "loss": 0.5972, + "step": 628 + }, + { + "epoch": 0.36, + "learning_rate": 4.498396474052397e-05, + "loss": 0.5715, + "step": 629 + }, + { + "epoch": 0.36, + "learning_rate": 4.4935824751437015e-05, + "loss": 0.6071, + "step": 630 + }, + { + "epoch": 0.36, + "learning_rate": 4.488763357470546e-05, + "loss": 0.6668, + "step": 631 + }, + { + "epoch": 0.36, + "learning_rate": 4.4839391375488776e-05, + "loss": 0.5571, + "step": 632 + }, + { + "epoch": 0.36, + "learning_rate": 4.4791098319121276e-05, + "loss": 0.5798, + "step": 633 + }, + { + "epoch": 0.36, + "learning_rate": 4.474275457111161e-05, + "loss": 0.6817, + "step": 634 + }, + { + "epoch": 0.36, + "learning_rate": 4.4694360297142106e-05, + "loss": 0.5551, + "step": 635 + }, + { + "epoch": 0.36, + "learning_rate": 4.4645915663068294e-05, + "loss": 0.5821, + "step": 636 + }, + { + "epoch": 0.36, + "learning_rate": 4.459742083491828e-05, + "loss": 0.6326, + "step": 637 + }, + { + "epoch": 0.36, + "learning_rate": 4.454887597889218e-05, + "loss": 0.4914, + "step": 638 + }, + { + "epoch": 0.37, + "learning_rate": 4.45002812613616e-05, + "loss": 0.5996, + "step": 639 + }, + { + "epoch": 0.37, + "learning_rate": 4.4451636848869e-05, + "loss": 0.7016, + "step": 640 + }, + { + "epoch": 0.37, + "learning_rate": 4.440294290812715e-05, + "loss": 0.527, + "step": 641 + }, + { + "epoch": 0.37, + "learning_rate": 4.43541996060186e-05, + "loss": 0.5022, + "step": 642 + }, + { + "epoch": 0.37, + "learning_rate": 4.430540710959502e-05, + "loss": 0.5501, + "step": 643 + }, + { + "epoch": 0.37, + "learning_rate": 4.425656558607672e-05, + "loss": 0.6487, + "step": 644 + }, + { + "epoch": 0.37, + "learning_rate": 4.4207675202852e-05, + "loss": 0.5827, + "step": 645 + }, + { + "epoch": 0.37, + "learning_rate": 4.4158736127476635e-05, + "loss": 0.7371, + "step": 646 + }, + { + "epoch": 0.37, + "learning_rate": 4.410974852767326e-05, + "loss": 0.5514, + "step": 647 + }, + { + "epoch": 0.37, + "learning_rate": 4.4060712571330834e-05, + "loss": 0.6226, + "step": 648 + }, + { + "epoch": 0.37, + "learning_rate": 4.4011628426504014e-05, + "loss": 0.5673, + "step": 649 + }, + { + "epoch": 0.37, + "learning_rate": 4.396249626141262e-05, + "loss": 0.6267, + "step": 650 + }, + { + "epoch": 0.37, + "learning_rate": 4.391331624444105e-05, + "loss": 0.4739, + "step": 651 + }, + { + "epoch": 0.37, + "learning_rate": 4.3864088544137705e-05, + "loss": 0.7283, + "step": 652 + }, + { + "epoch": 0.37, + "learning_rate": 4.381481332921438e-05, + "loss": 0.6084, + "step": 653 + }, + { + "epoch": 0.37, + "learning_rate": 4.3765490768545735e-05, + "loss": 0.5934, + "step": 654 + }, + { + "epoch": 0.37, + "learning_rate": 4.3716121031168675e-05, + "loss": 0.5977, + "step": 655 + }, + { + "epoch": 0.37, + "learning_rate": 4.36667042862818e-05, + "loss": 0.6399, + "step": 656 + }, + { + "epoch": 0.38, + "learning_rate": 4.361724070324481e-05, + "loss": 0.6026, + "step": 657 + }, + { + "epoch": 0.38, + "learning_rate": 4.3567730451577925e-05, + "loss": 0.5518, + "step": 658 + }, + { + "epoch": 0.38, + "learning_rate": 4.35181737009613e-05, + "loss": 0.6528, + "step": 659 + }, + { + "epoch": 0.38, + "learning_rate": 4.346857062123447e-05, + "loss": 0.5771, + "step": 660 + }, + { + "epoch": 0.38, + "learning_rate": 4.341892138239573e-05, + "loss": 0.6587, + "step": 661 + }, + { + "epoch": 0.38, + "learning_rate": 4.336922615460157e-05, + "loss": 0.6205, + "step": 662 + }, + { + "epoch": 0.38, + "learning_rate": 4.3319485108166104e-05, + "loss": 0.6149, + "step": 663 + }, + { + "epoch": 0.38, + "learning_rate": 4.326969841356046e-05, + "loss": 0.5158, + "step": 664 + }, + { + "epoch": 0.38, + "learning_rate": 4.3219866241412226e-05, + "loss": 0.6378, + "step": 665 + }, + { + "epoch": 0.38, + "learning_rate": 4.316998876250483e-05, + "loss": 0.5595, + "step": 666 + }, + { + "epoch": 0.38, + "learning_rate": 4.3120066147776994e-05, + "loss": 0.6552, + "step": 667 + }, + { + "epoch": 0.38, + "learning_rate": 4.3070098568322123e-05, + "loss": 0.5639, + "step": 668 + }, + { + "epoch": 0.38, + "learning_rate": 4.302008619538771e-05, + "loss": 0.587, + "step": 669 + }, + { + "epoch": 0.38, + "learning_rate": 4.297002920037479e-05, + "loss": 0.9619, + "step": 670 + }, + { + "epoch": 0.38, + "learning_rate": 4.291992775483729e-05, + "loss": 0.6408, + "step": 671 + }, + { + "epoch": 0.38, + "learning_rate": 4.2869782030481495e-05, + "loss": 0.5779, + "step": 672 + }, + { + "epoch": 0.38, + "learning_rate": 4.281959219916546e-05, + "loss": 0.6393, + "step": 673 + }, + { + "epoch": 0.39, + "learning_rate": 4.276935843289837e-05, + "loss": 0.5762, + "step": 674 + }, + { + "epoch": 0.39, + "learning_rate": 4.271908090384e-05, + "loss": 0.5217, + "step": 675 + }, + { + "epoch": 0.39, + "learning_rate": 4.2668759784300096e-05, + "loss": 0.6066, + "step": 676 + }, + { + "epoch": 0.39, + "learning_rate": 4.2618395246737816e-05, + "loss": 0.5595, + "step": 677 + }, + { + "epoch": 0.39, + "learning_rate": 4.2567987463761104e-05, + "loss": 1.2102, + "step": 678 + }, + { + "epoch": 0.39, + "learning_rate": 4.251753660812612e-05, + "loss": 0.5953, + "step": 679 + }, + { + "epoch": 0.39, + "learning_rate": 4.246704285273662e-05, + "loss": 0.581, + "step": 680 + }, + { + "epoch": 0.39, + "learning_rate": 4.2416506370643436e-05, + "loss": 0.5255, + "step": 681 + }, + { + "epoch": 0.39, + "learning_rate": 4.236592733504376e-05, + "loss": 0.5953, + "step": 682 + }, + { + "epoch": 0.39, + "learning_rate": 4.231530591928069e-05, + "loss": 0.5939, + "step": 683 + }, + { + "epoch": 0.39, + "learning_rate": 4.2264642296842524e-05, + "loss": 0.6995, + "step": 684 + }, + { + "epoch": 0.39, + "learning_rate": 4.221393664136223e-05, + "loss": 0.5189, + "step": 685 + }, + { + "epoch": 0.39, + "learning_rate": 4.216318912661683e-05, + "loss": 0.6257, + "step": 686 + }, + { + "epoch": 0.39, + "learning_rate": 4.211239992652679e-05, + "loss": 0.5972, + "step": 687 + }, + { + "epoch": 0.39, + "learning_rate": 4.206156921515545e-05, + "loss": 0.5817, + "step": 688 + }, + { + "epoch": 0.39, + "learning_rate": 4.201069716670843e-05, + "loss": 0.6005, + "step": 689 + }, + { + "epoch": 0.39, + "learning_rate": 4.195978395553297e-05, + "loss": 0.6071, + "step": 690 + }, + { + "epoch": 0.39, + "learning_rate": 4.190882975611746e-05, + "loss": 0.5519, + "step": 691 + }, + { + "epoch": 0.4, + "learning_rate": 4.1857834743090686e-05, + "loss": 0.6594, + "step": 692 + }, + { + "epoch": 0.4, + "learning_rate": 4.180679909122136e-05, + "loss": 0.4901, + "step": 693 + }, + { + "epoch": 0.4, + "learning_rate": 4.1755722975417444e-05, + "loss": 0.4887, + "step": 694 + }, + { + "epoch": 0.4, + "learning_rate": 4.17046065707256e-05, + "loss": 0.5551, + "step": 695 + }, + { + "epoch": 0.4, + "learning_rate": 4.1653450052330536e-05, + "loss": 0.6249, + "step": 696 + }, + { + "epoch": 0.4, + "learning_rate": 4.160225359555447e-05, + "loss": 0.601, + "step": 697 + }, + { + "epoch": 0.4, + "learning_rate": 4.155101737585646e-05, + "loss": 0.6718, + "step": 698 + }, + { + "epoch": 0.4, + "learning_rate": 4.1499741568831885e-05, + "loss": 0.4853, + "step": 699 + }, + { + "epoch": 0.4, + "learning_rate": 4.144842635021174e-05, + "loss": 0.5031, + "step": 700 + }, + { + "epoch": 0.4, + "learning_rate": 4.139707189586215e-05, + "loss": 0.5685, + "step": 701 + }, + { + "epoch": 0.4, + "learning_rate": 4.1345678381783654e-05, + "loss": 0.6181, + "step": 702 + }, + { + "epoch": 0.4, + "learning_rate": 4.129424598411069e-05, + "loss": 0.5952, + "step": 703 + }, + { + "epoch": 0.4, + "learning_rate": 4.1242774879110945e-05, + "loss": 0.5666, + "step": 704 + }, + { + "epoch": 0.4, + "learning_rate": 4.119126524318475e-05, + "loss": 0.5512, + "step": 705 + }, + { + "epoch": 0.4, + "learning_rate": 4.113971725286453e-05, + "loss": 0.5895, + "step": 706 + }, + { + "epoch": 0.4, + "learning_rate": 4.10881310848141e-05, + "loss": 0.5476, + "step": 707 + }, + { + "epoch": 0.4, + "learning_rate": 4.103650691582816e-05, + "loss": 0.5751, + "step": 708 + }, + { + "epoch": 0.41, + "learning_rate": 4.098484492283162e-05, + "loss": 0.625, + "step": 709 + }, + { + "epoch": 0.41, + "learning_rate": 4.0933145282879046e-05, + "loss": 0.6129, + "step": 710 + }, + { + "epoch": 0.41, + "learning_rate": 4.0881408173154005e-05, + "loss": 0.606, + "step": 711 + }, + { + "epoch": 0.41, + "learning_rate": 4.082963377096847e-05, + "loss": 0.489, + "step": 712 + }, + { + "epoch": 0.41, + "learning_rate": 4.077782225376226e-05, + "loss": 0.6747, + "step": 713 + }, + { + "epoch": 0.41, + "learning_rate": 4.0725973799102364e-05, + "loss": 0.5139, + "step": 714 + }, + { + "epoch": 0.41, + "learning_rate": 4.067408858468236e-05, + "loss": 0.4955, + "step": 715 + }, + { + "epoch": 0.41, + "learning_rate": 4.062216678832183e-05, + "loss": 0.5723, + "step": 716 + }, + { + "epoch": 0.41, + "learning_rate": 4.05702085879657e-05, + "loss": 0.5516, + "step": 717 + }, + { + "epoch": 0.41, + "learning_rate": 4.051821416168368e-05, + "loss": 0.5549, + "step": 718 + }, + { + "epoch": 0.41, + "learning_rate": 4.0466183687669643e-05, + "loss": 0.6078, + "step": 719 + }, + { + "epoch": 0.41, + "learning_rate": 4.0414117344240956e-05, + "loss": 0.5591, + "step": 720 + }, + { + "epoch": 0.41, + "learning_rate": 4.0362015309837976e-05, + "loss": 0.5339, + "step": 721 + }, + { + "epoch": 0.41, + "learning_rate": 4.030987776302334e-05, + "loss": 0.5402, + "step": 722 + }, + { + "epoch": 0.41, + "learning_rate": 4.02577048824814e-05, + "loss": 0.598, + "step": 723 + }, + { + "epoch": 0.41, + "learning_rate": 4.020549684701761e-05, + "loss": 0.633, + "step": 724 + }, + { + "epoch": 0.41, + "learning_rate": 4.0153253835557906e-05, + "loss": 0.5791, + "step": 725 + }, + { + "epoch": 0.41, + "learning_rate": 4.010097602714808e-05, + "loss": 0.5982, + "step": 726 + }, + { + "epoch": 0.42, + "learning_rate": 4.0048663600953187e-05, + "loss": 0.6032, + "step": 727 + }, + { + "epoch": 0.42, + "learning_rate": 3.9996316736256934e-05, + "loss": 0.5914, + "step": 728 + }, + { + "epoch": 0.42, + "learning_rate": 3.994393561246104e-05, + "loss": 0.6243, + "step": 729 + }, + { + "epoch": 0.42, + "learning_rate": 3.989152040908465e-05, + "loss": 0.5086, + "step": 730 + }, + { + "epoch": 0.42, + "learning_rate": 3.983907130576367e-05, + "loss": 0.5626, + "step": 731 + }, + { + "epoch": 0.42, + "learning_rate": 3.9786588482250236e-05, + "loss": 0.6552, + "step": 732 + }, + { + "epoch": 0.42, + "learning_rate": 3.973407211841202e-05, + "loss": 0.6599, + "step": 733 + }, + { + "epoch": 0.42, + "learning_rate": 3.9681522394231654e-05, + "loss": 0.6344, + "step": 734 + }, + { + "epoch": 0.42, + "learning_rate": 3.962893948980609e-05, + "loss": 0.5165, + "step": 735 + }, + { + "epoch": 0.42, + "learning_rate": 3.957632358534599e-05, + "loss": 0.5383, + "step": 736 + }, + { + "epoch": 0.42, + "learning_rate": 3.952367486117515e-05, + "loss": 0.6451, + "step": 737 + }, + { + "epoch": 0.42, + "learning_rate": 3.947099349772979e-05, + "loss": 0.5186, + "step": 738 + }, + { + "epoch": 0.42, + "learning_rate": 3.9418279675558036e-05, + "loss": 0.5762, + "step": 739 + }, + { + "epoch": 0.42, + "learning_rate": 3.9365533575319236e-05, + "loss": 0.6853, + "step": 740 + }, + { + "epoch": 0.42, + "learning_rate": 3.931275537778336e-05, + "loss": 0.5444, + "step": 741 + }, + { + "epoch": 0.42, + "learning_rate": 3.925994526383038e-05, + "loss": 0.6784, + "step": 742 + }, + { + "epoch": 0.42, + "learning_rate": 3.9207103414449665e-05, + "loss": 0.4994, + "step": 743 + }, + { + "epoch": 0.43, + "learning_rate": 3.915423001073932e-05, + "loss": 0.5748, + "step": 744 + }, + { + "epoch": 0.43, + "learning_rate": 3.9101325233905634e-05, + "loss": 0.5618, + "step": 745 + }, + { + "epoch": 0.43, + "learning_rate": 3.904838926526236e-05, + "loss": 0.5521, + "step": 746 + }, + { + "epoch": 0.43, + "learning_rate": 3.899542228623021e-05, + "loss": 0.5654, + "step": 747 + }, + { + "epoch": 0.43, + "learning_rate": 3.8942424478336135e-05, + "loss": 0.6504, + "step": 748 + }, + { + "epoch": 0.43, + "learning_rate": 3.8889396023212745e-05, + "loss": 0.5636, + "step": 749 + }, + { + "epoch": 0.43, + "learning_rate": 3.88363371025977e-05, + "loss": 0.6211, + "step": 750 + }, + { + "epoch": 0.43, + "learning_rate": 3.878324789833307e-05, + "loss": 0.5566, + "step": 751 + }, + { + "epoch": 0.43, + "learning_rate": 3.8730128592364686e-05, + "loss": 0.556, + "step": 752 + }, + { + "epoch": 0.43, + "learning_rate": 3.867697936674159e-05, + "loss": 0.4603, + "step": 753 + }, + { + "epoch": 0.43, + "learning_rate": 3.862380040361531e-05, + "loss": 0.5532, + "step": 754 + }, + { + "epoch": 0.43, + "learning_rate": 3.857059188523931e-05, + "loss": 0.6093, + "step": 755 + }, + { + "epoch": 0.43, + "learning_rate": 3.8517353993968366e-05, + "loss": 0.4688, + "step": 756 + }, + { + "epoch": 0.43, + "learning_rate": 3.8464086912257904e-05, + "loss": 0.5026, + "step": 757 + }, + { + "epoch": 0.43, + "learning_rate": 3.841079082266338e-05, + "loss": 0.584, + "step": 758 + }, + { + "epoch": 0.43, + "learning_rate": 3.835746590783968e-05, + "loss": 0.6131, + "step": 759 + }, + { + "epoch": 0.43, + "learning_rate": 3.830411235054047e-05, + "loss": 0.5267, + "step": 760 + }, + { + "epoch": 0.43, + "learning_rate": 3.8250730333617585e-05, + "loss": 0.5524, + "step": 761 + }, + { + "epoch": 0.44, + "learning_rate": 3.819732004002039e-05, + "loss": 0.579, + "step": 762 + }, + { + "epoch": 0.44, + "learning_rate": 3.8143881652795174e-05, + "loss": 0.5172, + "step": 763 + }, + { + "epoch": 0.44, + "learning_rate": 3.809041535508449e-05, + "loss": 0.5818, + "step": 764 + }, + { + "epoch": 0.44, + "learning_rate": 3.8036921330126543e-05, + "loss": 0.6277, + "step": 765 + }, + { + "epoch": 0.44, + "learning_rate": 3.7983399761254595e-05, + "loss": 0.5729, + "step": 766 + }, + { + "epoch": 0.44, + "learning_rate": 3.792985083189625e-05, + "loss": 0.5529, + "step": 767 + }, + { + "epoch": 0.44, + "learning_rate": 3.7876274725572947e-05, + "loss": 0.577, + "step": 768 + }, + { + "epoch": 0.44, + "learning_rate": 3.782267162589921e-05, + "loss": 0.6164, + "step": 769 + }, + { + "epoch": 0.44, + "learning_rate": 3.776904171658211e-05, + "loss": 0.5387, + "step": 770 + }, + { + "epoch": 0.44, + "learning_rate": 3.771538518142058e-05, + "loss": 0.4804, + "step": 771 + }, + { + "epoch": 0.44, + "learning_rate": 3.7661702204304805e-05, + "loss": 0.5999, + "step": 772 + }, + { + "epoch": 0.44, + "learning_rate": 3.7607992969215615e-05, + "loss": 0.5258, + "step": 773 + }, + { + "epoch": 0.44, + "learning_rate": 3.7554257660223784e-05, + "loss": 0.5418, + "step": 774 + }, + { + "epoch": 0.44, + "learning_rate": 3.75004964614895e-05, + "loss": 0.5648, + "step": 775 + }, + { + "epoch": 0.44, + "learning_rate": 3.744670955726165e-05, + "loss": 0.6104, + "step": 776 + }, + { + "epoch": 0.44, + "learning_rate": 3.739289713187719e-05, + "loss": 0.5385, + "step": 777 + }, + { + "epoch": 0.44, + "learning_rate": 3.7339059369760616e-05, + "loss": 0.6153, + "step": 778 + }, + { + "epoch": 0.45, + "learning_rate": 3.7285196455423184e-05, + "loss": 0.5865, + "step": 779 + }, + { + "epoch": 0.45, + "learning_rate": 3.723130857346239e-05, + "loss": 0.5596, + "step": 780 + }, + { + "epoch": 0.45, + "learning_rate": 3.71773959085613e-05, + "loss": 0.6521, + "step": 781 + }, + { + "epoch": 0.45, + "learning_rate": 3.712345864548788e-05, + "loss": 0.5737, + "step": 782 + }, + { + "epoch": 0.45, + "learning_rate": 3.7069496969094444e-05, + "loss": 0.5223, + "step": 783 + }, + { + "epoch": 0.45, + "learning_rate": 3.7015511064316955e-05, + "loss": 0.5533, + "step": 784 + }, + { + "epoch": 0.45, + "learning_rate": 3.696150111617439e-05, + "loss": 0.6111, + "step": 785 + }, + { + "epoch": 0.45, + "learning_rate": 3.690746730976817e-05, + "loss": 0.4831, + "step": 786 + }, + { + "epoch": 0.45, + "learning_rate": 3.6853409830281434e-05, + "loss": 0.5584, + "step": 787 + }, + { + "epoch": 0.45, + "learning_rate": 3.67993288629785e-05, + "loss": 0.571, + "step": 788 + }, + { + "epoch": 0.45, + "learning_rate": 3.674522459320414e-05, + "loss": 0.5509, + "step": 789 + }, + { + "epoch": 0.45, + "learning_rate": 3.6691097206383024e-05, + "loss": 0.5509, + "step": 790 + }, + { + "epoch": 0.45, + "learning_rate": 3.6636946888019036e-05, + "loss": 0.5525, + "step": 791 + }, + { + "epoch": 0.45, + "learning_rate": 3.6582773823694626e-05, + "loss": 0.5886, + "step": 792 + }, + { + "epoch": 0.45, + "learning_rate": 3.652857819907023e-05, + "loss": 0.6096, + "step": 793 + }, + { + "epoch": 0.45, + "learning_rate": 3.6474360199883595e-05, + "loss": 0.5614, + "step": 794 + }, + { + "epoch": 0.45, + "learning_rate": 3.642012001194912e-05, + "loss": 0.5584, + "step": 795 + }, + { + "epoch": 0.45, + "learning_rate": 3.636585782115732e-05, + "loss": 0.6041, + "step": 796 + }, + { + "epoch": 0.46, + "learning_rate": 3.631157381347403e-05, + "loss": 0.618, + "step": 797 + }, + { + "epoch": 0.46, + "learning_rate": 3.6257268174939905e-05, + "loss": 0.5579, + "step": 798 + }, + { + "epoch": 0.46, + "learning_rate": 3.620294109166974e-05, + "loss": 0.5636, + "step": 799 + }, + { + "epoch": 0.46, + "learning_rate": 3.614859274985179e-05, + "loss": 0.633, + "step": 800 + }, + { + "epoch": 0.46, + "learning_rate": 3.60942233357472e-05, + "loss": 0.5533, + "step": 801 + }, + { + "epoch": 0.46, + "learning_rate": 3.603983303568931e-05, + "loss": 0.6926, + "step": 802 + }, + { + "epoch": 0.46, + "learning_rate": 3.598542203608306e-05, + "loss": 0.5717, + "step": 803 + }, + { + "epoch": 0.46, + "learning_rate": 3.59309905234043e-05, + "loss": 0.5834, + "step": 804 + }, + { + "epoch": 0.46, + "learning_rate": 3.587653868419922e-05, + "loss": 0.6262, + "step": 805 + }, + { + "epoch": 0.46, + "learning_rate": 3.582206670508364e-05, + "loss": 0.4849, + "step": 806 + }, + { + "epoch": 0.46, + "learning_rate": 3.576757477274243e-05, + "loss": 0.5338, + "step": 807 + }, + { + "epoch": 0.46, + "learning_rate": 3.5713063073928826e-05, + "loss": 0.5988, + "step": 808 + }, + { + "epoch": 0.46, + "learning_rate": 3.56585317954638e-05, + "loss": 0.6399, + "step": 809 + }, + { + "epoch": 0.46, + "learning_rate": 3.560398112423545e-05, + "loss": 0.7014, + "step": 810 + }, + { + "epoch": 0.46, + "learning_rate": 3.554941124719833e-05, + "loss": 0.6839, + "step": 811 + }, + { + "epoch": 0.46, + "learning_rate": 3.5494822351372805e-05, + "loss": 0.5146, + "step": 812 + }, + { + "epoch": 0.46, + "learning_rate": 3.544021462384441e-05, + "loss": 0.6736, + "step": 813 + }, + { + "epoch": 0.47, + "learning_rate": 3.538558825176326e-05, + "loss": 0.6346, + "step": 814 + }, + { + "epoch": 0.47, + "learning_rate": 3.533094342234333e-05, + "loss": 0.5888, + "step": 815 + }, + { + "epoch": 0.47, + "learning_rate": 3.527628032286185e-05, + "loss": 0.644, + "step": 816 + }, + { + "epoch": 0.47, + "learning_rate": 3.522159914065871e-05, + "loss": 0.5838, + "step": 817 + }, + { + "epoch": 0.47, + "learning_rate": 3.516690006313572e-05, + "loss": 0.6062, + "step": 818 + }, + { + "epoch": 0.47, + "learning_rate": 3.5112183277756055e-05, + "loss": 0.5796, + "step": 819 + }, + { + "epoch": 0.47, + "learning_rate": 3.5057448972043564e-05, + "loss": 0.6718, + "step": 820 + }, + { + "epoch": 0.47, + "learning_rate": 3.500269733358213e-05, + "loss": 0.6029, + "step": 821 + }, + { + "epoch": 0.47, + "learning_rate": 3.494792855001506e-05, + "loss": 0.6085, + "step": 822 + }, + { + "epoch": 0.47, + "learning_rate": 3.489314280904441e-05, + "loss": 0.4753, + "step": 823 + }, + { + "epoch": 0.47, + "learning_rate": 3.483834029843036e-05, + "loss": 0.5126, + "step": 824 + }, + { + "epoch": 0.47, + "learning_rate": 3.478352120599054e-05, + "loss": 0.5713, + "step": 825 + }, + { + "epoch": 0.47, + "learning_rate": 3.472868571959943e-05, + "loss": 0.5892, + "step": 826 + }, + { + "epoch": 0.47, + "learning_rate": 3.467383402718769e-05, + "loss": 0.6081, + "step": 827 + }, + { + "epoch": 0.47, + "learning_rate": 3.4618966316741535e-05, + "loss": 0.443, + "step": 828 + }, + { + "epoch": 0.47, + "learning_rate": 3.456408277630203e-05, + "loss": 0.624, + "step": 829 + }, + { + "epoch": 0.47, + "learning_rate": 3.450918359396455e-05, + "loss": 0.6404, + "step": 830 + }, + { + "epoch": 0.47, + "learning_rate": 3.445426895787804e-05, + "loss": 0.4569, + "step": 831 + }, + { + "epoch": 0.48, + "learning_rate": 3.439933905624443e-05, + "loss": 0.5916, + "step": 832 + }, + { + "epoch": 0.48, + "learning_rate": 3.4344394077317946e-05, + "loss": 0.5078, + "step": 833 + }, + { + "epoch": 0.48, + "learning_rate": 3.4289434209404485e-05, + "loss": 0.5602, + "step": 834 + }, + { + "epoch": 0.48, + "learning_rate": 3.4234459640861015e-05, + "loss": 0.5245, + "step": 835 + }, + { + "epoch": 0.48, + "learning_rate": 3.4179470560094815e-05, + "loss": 0.5988, + "step": 836 + }, + { + "epoch": 0.48, + "learning_rate": 3.4124467155562966e-05, + "loss": 0.7351, + "step": 837 + }, + { + "epoch": 0.48, + "learning_rate": 3.406944961577161e-05, + "loss": 0.6022, + "step": 838 + }, + { + "epoch": 0.48, + "learning_rate": 3.4014418129275314e-05, + "loss": 0.5472, + "step": 839 + }, + { + "epoch": 0.48, + "learning_rate": 3.395937288467649e-05, + "loss": 0.5789, + "step": 840 + }, + { + "epoch": 0.48, + "learning_rate": 3.390431407062465e-05, + "loss": 0.6524, + "step": 841 + }, + { + "epoch": 0.48, + "learning_rate": 3.384924187581585e-05, + "loss": 0.5922, + "step": 842 + }, + { + "epoch": 0.48, + "learning_rate": 3.3794156488991994e-05, + "loss": 0.6776, + "step": 843 + }, + { + "epoch": 0.48, + "learning_rate": 3.373905809894018e-05, + "loss": 0.6063, + "step": 844 + }, + { + "epoch": 0.48, + "learning_rate": 3.3683946894492085e-05, + "loss": 0.6022, + "step": 845 + }, + { + "epoch": 0.48, + "learning_rate": 3.362882306452331e-05, + "loss": 0.6246, + "step": 846 + }, + { + "epoch": 0.48, + "learning_rate": 3.35736867979527e-05, + "loss": 0.6094, + "step": 847 + }, + { + "epoch": 0.48, + "learning_rate": 3.3518538283741765e-05, + "loss": 0.5904, + "step": 848 + }, + { + "epoch": 0.49, + "learning_rate": 3.346337771089395e-05, + "loss": 0.6046, + "step": 849 + }, + { + "epoch": 0.49, + "learning_rate": 3.340820526845404e-05, + "loss": 0.6785, + "step": 850 + }, + { + "epoch": 0.49, + "learning_rate": 3.33530211455075e-05, + "loss": 0.6299, + "step": 851 + }, + { + "epoch": 0.49, + "learning_rate": 3.329782553117983e-05, + "loss": 0.636, + "step": 852 + }, + { + "epoch": 0.49, + "learning_rate": 3.324261861463591e-05, + "loss": 0.628, + "step": 853 + }, + { + "epoch": 0.49, + "learning_rate": 3.318740058507934e-05, + "loss": 0.708, + "step": 854 + }, + { + "epoch": 0.49, + "learning_rate": 3.3132171631751855e-05, + "loss": 0.5655, + "step": 855 + }, + { + "epoch": 0.49, + "learning_rate": 3.307693194393256e-05, + "loss": 0.6016, + "step": 856 + }, + { + "epoch": 0.49, + "learning_rate": 3.3021681710937396e-05, + "loss": 0.6359, + "step": 857 + }, + { + "epoch": 0.49, + "learning_rate": 3.296642112211842e-05, + "loss": 0.5095, + "step": 858 + }, + { + "epoch": 0.49, + "learning_rate": 3.29111503668632e-05, + "loss": 0.5293, + "step": 859 + }, + { + "epoch": 0.49, + "learning_rate": 3.285586963459414e-05, + "loss": 0.6051, + "step": 860 + }, + { + "epoch": 0.49, + "learning_rate": 3.280057911476782e-05, + "loss": 0.5556, + "step": 861 + }, + { + "epoch": 0.49, + "learning_rate": 3.274527899687439e-05, + "loss": 0.5741, + "step": 862 + }, + { + "epoch": 0.49, + "learning_rate": 3.2689969470436883e-05, + "loss": 0.6159, + "step": 863 + }, + { + "epoch": 0.49, + "learning_rate": 3.2634650725010544e-05, + "loss": 0.6166, + "step": 864 + }, + { + "epoch": 0.49, + "learning_rate": 3.257932295018228e-05, + "loss": 0.6688, + "step": 865 + }, + { + "epoch": 0.49, + "learning_rate": 3.25239863355699e-05, + "loss": 0.5219, + "step": 866 + }, + { + "epoch": 0.5, + "learning_rate": 3.2468641070821504e-05, + "loss": 0.6606, + "step": 867 + }, + { + "epoch": 0.5, + "learning_rate": 3.2413287345614855e-05, + "loss": 0.6414, + "step": 868 + }, + { + "epoch": 0.5, + "learning_rate": 3.235792534965671e-05, + "loss": 0.6761, + "step": 869 + }, + { + "epoch": 0.5, + "learning_rate": 3.230255527268216e-05, + "loss": 0.6125, + "step": 870 + }, + { + "epoch": 0.5, + "learning_rate": 3.2247177304454015e-05, + "loss": 0.6975, + "step": 871 + }, + { + "epoch": 0.5, + "learning_rate": 3.219179163476208e-05, + "loss": 0.641, + "step": 872 + }, + { + "epoch": 0.5, + "learning_rate": 3.213639845342262e-05, + "loss": 0.6408, + "step": 873 + }, + { + "epoch": 0.5, + "learning_rate": 3.2080997950277595e-05, + "loss": 0.6033, + "step": 874 + }, + { + "epoch": 0.5, + "learning_rate": 3.202559031519407e-05, + "loss": 0.6162, + "step": 875 + }, + { + "epoch": 0.5, + "learning_rate": 3.197017573806357e-05, + "loss": 0.5913, + "step": 876 + }, + { + "epoch": 0.5, + "learning_rate": 3.191475440880138e-05, + "loss": 0.6345, + "step": 877 + }, + { + "epoch": 0.5, + "learning_rate": 3.185932651734596e-05, + "loss": 0.5666, + "step": 878 + }, + { + "epoch": 0.5, + "learning_rate": 3.180389225365823e-05, + "loss": 0.5774, + "step": 879 + }, + { + "epoch": 0.5, + "learning_rate": 3.174845180772098e-05, + "loss": 0.6279, + "step": 880 + }, + { + "epoch": 0.5, + "learning_rate": 3.169300536953815e-05, + "loss": 0.6131, + "step": 881 + }, + { + "epoch": 0.5, + "learning_rate": 3.163755312913424e-05, + "loss": 0.5771, + "step": 882 + }, + { + "epoch": 0.5, + "learning_rate": 3.1582095276553645e-05, + "loss": 0.6654, + "step": 883 + }, + { + "epoch": 0.51, + "learning_rate": 3.152663200185997e-05, + "loss": 0.6157, + "step": 884 + }, + { + "epoch": 0.51, + "learning_rate": 3.1471163495135396e-05, + "loss": 0.6257, + "step": 885 + }, + { + "epoch": 0.51, + "learning_rate": 3.1415689946480085e-05, + "loss": 0.6467, + "step": 886 + }, + { + "epoch": 0.51, + "learning_rate": 3.136021154601143e-05, + "loss": 0.5768, + "step": 887 + }, + { + "epoch": 0.51, + "learning_rate": 3.130472848386346e-05, + "loss": 0.5877, + "step": 888 + }, + { + "epoch": 0.51, + "learning_rate": 3.124924095018621e-05, + "loss": 0.6378, + "step": 889 + }, + { + "epoch": 0.51, + "learning_rate": 3.119374913514498e-05, + "loss": 0.5318, + "step": 890 + }, + { + "epoch": 0.51, + "learning_rate": 3.113825322891982e-05, + "loss": 0.573, + "step": 891 + }, + { + "epoch": 0.51, + "learning_rate": 3.108275342170474e-05, + "loss": 0.6848, + "step": 892 + }, + { + "epoch": 0.51, + "learning_rate": 3.1027249903707136e-05, + "loss": 0.6087, + "step": 893 + }, + { + "epoch": 0.51, + "learning_rate": 3.097174286514714e-05, + "loss": 0.634, + "step": 894 + }, + { + "epoch": 0.51, + "learning_rate": 3.0916232496256934e-05, + "loss": 0.572, + "step": 895 + }, + { + "epoch": 0.51, + "learning_rate": 3.086071898728011e-05, + "loss": 0.5581, + "step": 896 + }, + { + "epoch": 0.51, + "learning_rate": 3.080520252847104e-05, + "loss": 0.5794, + "step": 897 + }, + { + "epoch": 0.51, + "learning_rate": 3.074968331009417e-05, + "loss": 0.6617, + "step": 898 + }, + { + "epoch": 0.51, + "learning_rate": 3.069416152242345e-05, + "loss": 0.6201, + "step": 899 + }, + { + "epoch": 0.51, + "learning_rate": 3.063863735574159e-05, + "loss": 0.7039, + "step": 900 + }, + { + "epoch": 0.51, + "learning_rate": 3.058311100033949e-05, + "loss": 0.5575, + "step": 901 + }, + { + "epoch": 0.52, + "learning_rate": 3.052758264651553e-05, + "loss": 0.6496, + "step": 902 + }, + { + "epoch": 0.52, + "learning_rate": 3.0472052484574953e-05, + "loss": 0.494, + "step": 903 + }, + { + "epoch": 0.52, + "learning_rate": 3.0416520704829184e-05, + "loss": 0.5869, + "step": 904 + }, + { + "epoch": 0.52, + "learning_rate": 3.0360987497595198e-05, + "loss": 0.7095, + "step": 905 + }, + { + "epoch": 0.52, + "learning_rate": 3.0305453053194866e-05, + "loss": 0.475, + "step": 906 + }, + { + "epoch": 0.52, + "learning_rate": 3.0249917561954298e-05, + "loss": 0.5231, + "step": 907 + }, + { + "epoch": 0.52, + "learning_rate": 3.0194381214203185e-05, + "loss": 0.6357, + "step": 908 + }, + { + "epoch": 0.52, + "learning_rate": 3.013884420027417e-05, + "loss": 0.5889, + "step": 909 + }, + { + "epoch": 0.52, + "learning_rate": 3.008330671050216e-05, + "loss": 0.5796, + "step": 910 + }, + { + "epoch": 0.52, + "learning_rate": 3.0027768935223693e-05, + "loss": 0.5547, + "step": 911 + }, + { + "epoch": 0.52, + "learning_rate": 2.9972231064776308e-05, + "loss": 0.5914, + "step": 912 + }, + { + "epoch": 0.52, + "learning_rate": 2.9916693289497852e-05, + "loss": 0.6359, + "step": 913 + }, + { + "epoch": 0.52, + "learning_rate": 2.986115579972584e-05, + "loss": 0.5683, + "step": 914 + }, + { + "epoch": 0.52, + "learning_rate": 2.980561878579681e-05, + "loss": 0.6451, + "step": 915 + }, + { + "epoch": 0.52, + "learning_rate": 2.9750082438045703e-05, + "loss": 0.6216, + "step": 916 + }, + { + "epoch": 0.52, + "learning_rate": 2.9694546946805142e-05, + "loss": 0.6191, + "step": 917 + }, + { + "epoch": 0.52, + "learning_rate": 2.963901250240481e-05, + "loss": 0.6004, + "step": 918 + }, + { + "epoch": 0.53, + "learning_rate": 2.9583479295170824e-05, + "loss": 0.6015, + "step": 919 + }, + { + "epoch": 0.53, + "learning_rate": 2.952794751542505e-05, + "loss": 0.5787, + "step": 920 + }, + { + "epoch": 0.53, + "learning_rate": 2.9472417353484473e-05, + "loss": 0.6649, + "step": 921 + }, + { + "epoch": 0.53, + "learning_rate": 2.9416888999660515e-05, + "loss": 0.6742, + "step": 922 + }, + { + "epoch": 0.53, + "learning_rate": 2.9361362644258416e-05, + "loss": 0.6411, + "step": 923 + }, + { + "epoch": 0.53, + "learning_rate": 2.9305838477576566e-05, + "loss": 0.7022, + "step": 924 + }, + { + "epoch": 0.53, + "learning_rate": 2.925031668990583e-05, + "loss": 0.6987, + "step": 925 + }, + { + "epoch": 0.53, + "learning_rate": 2.9194797471528966e-05, + "loss": 0.5453, + "step": 926 + }, + { + "epoch": 0.53, + "learning_rate": 2.9139281012719892e-05, + "loss": 0.638, + "step": 927 + }, + { + "epoch": 0.53, + "learning_rate": 2.908376750374307e-05, + "loss": 0.5711, + "step": 928 + }, + { + "epoch": 0.53, + "learning_rate": 2.9028257134852867e-05, + "loss": 0.6825, + "step": 929 + }, + { + "epoch": 0.53, + "learning_rate": 2.8972750096292862e-05, + "loss": 0.6586, + "step": 930 + }, + { + "epoch": 0.53, + "learning_rate": 2.8917246578295266e-05, + "loss": 0.5799, + "step": 931 + }, + { + "epoch": 0.53, + "learning_rate": 2.8861746771080185e-05, + "loss": 0.6412, + "step": 932 + }, + { + "epoch": 0.53, + "learning_rate": 2.880625086485502e-05, + "loss": 0.6476, + "step": 933 + }, + { + "epoch": 0.53, + "learning_rate": 2.8750759049813805e-05, + "loss": 0.5736, + "step": 934 + }, + { + "epoch": 0.53, + "learning_rate": 2.8695271516136535e-05, + "loss": 0.6578, + "step": 935 + }, + { + "epoch": 0.53, + "learning_rate": 2.8639788453988572e-05, + "loss": 0.6835, + "step": 936 + }, + { + "epoch": 0.54, + "learning_rate": 2.8584310053519916e-05, + "loss": 0.6415, + "step": 937 + }, + { + "epoch": 0.54, + "learning_rate": 2.8528836504864605e-05, + "loss": 0.5827, + "step": 938 + }, + { + "epoch": 0.54, + "learning_rate": 2.8473367998140044e-05, + "loss": 0.686, + "step": 939 + }, + { + "epoch": 0.54, + "learning_rate": 2.8417904723446363e-05, + "loss": 0.5839, + "step": 940 + }, + { + "epoch": 0.54, + "learning_rate": 2.836244687086576e-05, + "loss": 0.6204, + "step": 941 + }, + { + "epoch": 0.54, + "learning_rate": 2.8306994630461858e-05, + "loss": 0.7794, + "step": 942 + }, + { + "epoch": 0.54, + "learning_rate": 2.825154819227903e-05, + "loss": 0.5452, + "step": 943 + }, + { + "epoch": 0.54, + "learning_rate": 2.8196107746341775e-05, + "loss": 0.6638, + "step": 944 + }, + { + "epoch": 0.54, + "learning_rate": 2.8140673482654036e-05, + "loss": 0.6623, + "step": 945 + }, + { + "epoch": 0.54, + "learning_rate": 2.808524559119862e-05, + "loss": 0.6876, + "step": 946 + }, + { + "epoch": 0.54, + "learning_rate": 2.8029824261936438e-05, + "loss": 0.5089, + "step": 947 + }, + { + "epoch": 0.54, + "learning_rate": 2.7974409684805937e-05, + "loss": 0.7057, + "step": 948 + }, + { + "epoch": 0.54, + "learning_rate": 2.791900204972242e-05, + "loss": 0.6451, + "step": 949 + }, + { + "epoch": 0.54, + "learning_rate": 2.7863601546577393e-05, + "loss": 0.5296, + "step": 950 + }, + { + "epoch": 0.54, + "learning_rate": 2.7808208365237914e-05, + "loss": 0.6168, + "step": 951 + }, + { + "epoch": 0.54, + "learning_rate": 2.7752822695545994e-05, + "loss": 0.5399, + "step": 952 + }, + { + "epoch": 0.54, + "learning_rate": 2.769744472731784e-05, + "loss": 0.5613, + "step": 953 + }, + { + "epoch": 0.55, + "learning_rate": 2.7642074650343298e-05, + "loss": 0.7027, + "step": 954 + }, + { + "epoch": 0.55, + "learning_rate": 2.7586712654385147e-05, + "loss": 0.6108, + "step": 955 + }, + { + "epoch": 0.55, + "learning_rate": 2.7531358929178498e-05, + "loss": 0.5346, + "step": 956 + }, + { + "epoch": 0.55, + "learning_rate": 2.7476013664430108e-05, + "loss": 0.5951, + "step": 957 + }, + { + "epoch": 0.55, + "learning_rate": 2.7420677049817725e-05, + "loss": 0.5667, + "step": 958 + }, + { + "epoch": 0.55, + "learning_rate": 2.7365349274989457e-05, + "loss": 0.6802, + "step": 959 + }, + { + "epoch": 0.55, + "learning_rate": 2.7310030529563135e-05, + "loss": 0.5794, + "step": 960 + }, + { + "epoch": 0.55, + "learning_rate": 2.7254721003125612e-05, + "loss": 0.5452, + "step": 961 + }, + { + "epoch": 0.55, + "learning_rate": 2.7199420885232175e-05, + "loss": 0.5238, + "step": 962 + }, + { + "epoch": 0.55, + "learning_rate": 2.714413036540586e-05, + "loss": 0.5794, + "step": 963 + }, + { + "epoch": 0.55, + "learning_rate": 2.70888496331368e-05, + "loss": 0.5826, + "step": 964 + }, + { + "epoch": 0.55, + "learning_rate": 2.7033578877881587e-05, + "loss": 0.5964, + "step": 965 + }, + { + "epoch": 0.55, + "learning_rate": 2.6978318289062605e-05, + "loss": 0.5782, + "step": 966 + }, + { + "epoch": 0.55, + "learning_rate": 2.692306805606744e-05, + "loss": 0.5367, + "step": 967 + }, + { + "epoch": 0.55, + "learning_rate": 2.686782836824815e-05, + "loss": 0.6902, + "step": 968 + }, + { + "epoch": 0.55, + "learning_rate": 2.6812599414920657e-05, + "loss": 0.5592, + "step": 969 + }, + { + "epoch": 0.55, + "learning_rate": 2.67573813853641e-05, + "loss": 0.6661, + "step": 970 + }, + { + "epoch": 0.55, + "learning_rate": 2.6702174468820172e-05, + "loss": 0.6661, + "step": 971 + }, + { + "epoch": 0.56, + "learning_rate": 2.6646978854492506e-05, + "loss": 0.7265, + "step": 972 + }, + { + "epoch": 0.56, + "learning_rate": 2.659179473154597e-05, + "loss": 0.6214, + "step": 973 + }, + { + "epoch": 0.56, + "learning_rate": 2.653662228910606e-05, + "loss": 0.6775, + "step": 974 + }, + { + "epoch": 0.56, + "learning_rate": 2.648146171625824e-05, + "loss": 0.5885, + "step": 975 + }, + { + "epoch": 0.56, + "learning_rate": 2.6426313202047296e-05, + "loss": 0.5505, + "step": 976 + }, + { + "epoch": 0.56, + "learning_rate": 2.63711769354767e-05, + "loss": 0.6895, + "step": 977 + }, + { + "epoch": 0.56, + "learning_rate": 2.631605310550792e-05, + "loss": 0.6386, + "step": 978 + }, + { + "epoch": 0.56, + "learning_rate": 2.6260941901059826e-05, + "loss": 0.5552, + "step": 979 + }, + { + "epoch": 0.56, + "learning_rate": 2.6205843511008014e-05, + "loss": 0.6799, + "step": 980 + }, + { + "epoch": 0.56, + "learning_rate": 2.615075812418415e-05, + "loss": 0.6829, + "step": 981 + }, + { + "epoch": 0.56, + "learning_rate": 2.6095685929375348e-05, + "loss": 0.7311, + "step": 982 + }, + { + "epoch": 0.56, + "learning_rate": 2.6040627115323515e-05, + "loss": 0.5847, + "step": 983 + }, + { + "epoch": 0.56, + "learning_rate": 2.5985581870724688e-05, + "loss": 0.5913, + "step": 984 + }, + { + "epoch": 0.56, + "learning_rate": 2.59305503842284e-05, + "loss": 0.5921, + "step": 985 + }, + { + "epoch": 0.56, + "learning_rate": 2.5875532844437043e-05, + "loss": 0.6697, + "step": 986 + }, + { + "epoch": 0.56, + "learning_rate": 2.5820529439905186e-05, + "loss": 0.7255, + "step": 987 + }, + { + "epoch": 0.56, + "learning_rate": 2.5765540359138993e-05, + "loss": 0.533, + "step": 988 + }, + { + "epoch": 0.57, + "learning_rate": 2.5710565790595516e-05, + "loss": 0.7015, + "step": 989 + }, + { + "epoch": 0.57, + "learning_rate": 2.5655605922682065e-05, + "loss": 0.6659, + "step": 990 + }, + { + "epoch": 0.57, + "learning_rate": 2.560066094375558e-05, + "loss": 0.6137, + "step": 991 + }, + { + "epoch": 0.57, + "learning_rate": 2.5545731042121952e-05, + "loss": 0.5658, + "step": 992 + }, + { + "epoch": 0.57, + "learning_rate": 2.5490816406035445e-05, + "loss": 0.6588, + "step": 993 + }, + { + "epoch": 0.57, + "learning_rate": 2.543591722369797e-05, + "loss": 0.6385, + "step": 994 + }, + { + "epoch": 0.57, + "learning_rate": 2.5381033683258473e-05, + "loss": 0.6958, + "step": 995 + }, + { + "epoch": 0.57, + "learning_rate": 2.532616597281231e-05, + "loss": 0.5957, + "step": 996 + }, + { + "epoch": 0.57, + "learning_rate": 2.5271314280400572e-05, + "loss": 0.7036, + "step": 997 + }, + { + "epoch": 0.57, + "learning_rate": 2.5216478794009465e-05, + "loss": 0.6197, + "step": 998 + }, + { + "epoch": 0.57, + "learning_rate": 2.516165970156965e-05, + "loss": 0.5207, + "step": 999 + }, + { + "epoch": 0.57, + "learning_rate": 2.5106857190955596e-05, + "loss": 0.5704, + "step": 1000 + }, + { + "epoch": 0.57, + "learning_rate": 2.5052071449984946e-05, + "loss": 0.6606, + "step": 1001 + }, + { + "epoch": 0.57, + "learning_rate": 2.499730266641787e-05, + "loss": 0.6695, + "step": 1002 + }, + { + "epoch": 0.57, + "learning_rate": 2.494255102795644e-05, + "loss": 0.6529, + "step": 1003 + }, + { + "epoch": 0.57, + "learning_rate": 2.4887816722243947e-05, + "loss": 0.6699, + "step": 1004 + }, + { + "epoch": 0.57, + "learning_rate": 2.483309993686428e-05, + "loss": 0.6777, + "step": 1005 + }, + { + "epoch": 0.57, + "learning_rate": 2.4778400859341298e-05, + "loss": 0.6526, + "step": 1006 + }, + { + "epoch": 0.58, + "learning_rate": 2.4723719677138145e-05, + "loss": 0.7258, + "step": 1007 + }, + { + "epoch": 0.58, + "learning_rate": 2.4669056577656677e-05, + "loss": 0.6576, + "step": 1008 + }, + { + "epoch": 0.58, + "learning_rate": 2.4614411748236748e-05, + "loss": 0.7345, + "step": 1009 + }, + { + "epoch": 0.58, + "learning_rate": 2.4559785376155593e-05, + "loss": 0.6594, + "step": 1010 + }, + { + "epoch": 0.58, + "learning_rate": 2.450517764862721e-05, + "loss": 0.6993, + "step": 1011 + }, + { + "epoch": 0.58, + "learning_rate": 2.4450588752801667e-05, + "loss": 0.551, + "step": 1012 + }, + { + "epoch": 0.58, + "learning_rate": 2.4396018875764546e-05, + "loss": 0.5206, + "step": 1013 + }, + { + "epoch": 0.58, + "learning_rate": 2.4341468204536203e-05, + "loss": 0.6683, + "step": 1014 + }, + { + "epoch": 0.58, + "learning_rate": 2.4286936926071182e-05, + "loss": 0.6188, + "step": 1015 + }, + { + "epoch": 0.58, + "learning_rate": 2.4232425227257575e-05, + "loss": 0.6339, + "step": 1016 + }, + { + "epoch": 0.58, + "learning_rate": 2.4177933294916362e-05, + "loss": 0.5589, + "step": 1017 + }, + { + "epoch": 0.58, + "learning_rate": 2.4123461315800785e-05, + "loss": 0.6835, + "step": 1018 + }, + { + "epoch": 0.58, + "learning_rate": 2.4069009476595706e-05, + "loss": 0.6139, + "step": 1019 + }, + { + "epoch": 0.58, + "learning_rate": 2.4014577963916954e-05, + "loss": 0.6822, + "step": 1020 + }, + { + "epoch": 0.58, + "learning_rate": 2.3960166964310698e-05, + "loss": 0.5206, + "step": 1021 + }, + { + "epoch": 0.58, + "learning_rate": 2.3905776664252814e-05, + "loss": 0.6279, + "step": 1022 + }, + { + "epoch": 0.58, + "learning_rate": 2.385140725014821e-05, + "loss": 0.6376, + "step": 1023 + }, + { + "epoch": 0.59, + "learning_rate": 2.3797058908330263e-05, + "loss": 0.5983, + "step": 1024 + }, + { + "epoch": 0.59, + "learning_rate": 2.37427318250601e-05, + "loss": 0.6465, + "step": 1025 + }, + { + "epoch": 0.59, + "learning_rate": 2.3688426186525982e-05, + "loss": 0.6528, + "step": 1026 + }, + { + "epoch": 0.59, + "learning_rate": 2.3634142178842695e-05, + "loss": 0.6024, + "step": 1027 + }, + { + "epoch": 0.59, + "learning_rate": 2.357987998805087e-05, + "loss": 0.6903, + "step": 1028 + }, + { + "epoch": 0.59, + "learning_rate": 2.3525639800116413e-05, + "loss": 0.6347, + "step": 1029 + }, + { + "epoch": 0.59, + "learning_rate": 2.3471421800929775e-05, + "loss": 0.6623, + "step": 1030 + }, + { + "epoch": 0.59, + "learning_rate": 2.341722617630538e-05, + "loss": 0.6265, + "step": 1031 + }, + { + "epoch": 0.59, + "learning_rate": 2.336305311198097e-05, + "loss": 0.6592, + "step": 1032 + }, + { + "epoch": 0.59, + "learning_rate": 2.3308902793616968e-05, + "loss": 0.7552, + "step": 1033 + }, + { + "epoch": 0.59, + "learning_rate": 2.3254775406795855e-05, + "loss": 0.6032, + "step": 1034 + }, + { + "epoch": 0.59, + "learning_rate": 2.32006711370215e-05, + "loss": 0.753, + "step": 1035 + }, + { + "epoch": 0.59, + "learning_rate": 2.3146590169718568e-05, + "loss": 0.6666, + "step": 1036 + }, + { + "epoch": 0.59, + "learning_rate": 2.3092532690231845e-05, + "loss": 0.5765, + "step": 1037 + }, + { + "epoch": 0.59, + "learning_rate": 2.3038498883825606e-05, + "loss": 0.7197, + "step": 1038 + }, + { + "epoch": 0.59, + "learning_rate": 2.298448893568305e-05, + "loss": 0.7756, + "step": 1039 + }, + { + "epoch": 0.59, + "learning_rate": 2.2930503030905557e-05, + "loss": 0.6007, + "step": 1040 + }, + { + "epoch": 0.59, + "learning_rate": 2.2876541354512124e-05, + "loss": 0.7076, + "step": 1041 + }, + { + "epoch": 0.6, + "learning_rate": 2.2822604091438716e-05, + "loss": 0.649, + "step": 1042 + }, + { + "epoch": 0.6, + "learning_rate": 2.276869142653761e-05, + "loss": 0.7868, + "step": 1043 + }, + { + "epoch": 0.6, + "learning_rate": 2.271480354457682e-05, + "loss": 0.6639, + "step": 1044 + }, + { + "epoch": 0.6, + "learning_rate": 2.2660940630239392e-05, + "loss": 0.7125, + "step": 1045 + }, + { + "epoch": 0.6, + "learning_rate": 2.2607102868122812e-05, + "loss": 0.5934, + "step": 1046 + }, + { + "epoch": 0.6, + "learning_rate": 2.2553290442738367e-05, + "loss": 0.6349, + "step": 1047 + }, + { + "epoch": 0.6, + "learning_rate": 2.2499503538510495e-05, + "loss": 0.7039, + "step": 1048 + }, + { + "epoch": 0.6, + "learning_rate": 2.244574233977621e-05, + "loss": 0.6666, + "step": 1049 + }, + { + "epoch": 0.6, + "learning_rate": 2.2392007030784394e-05, + "loss": 0.6505, + "step": 1050 + }, + { + "epoch": 0.6, + "learning_rate": 2.23382977956952e-05, + "loss": 0.6909, + "step": 1051 + }, + { + "epoch": 0.6, + "learning_rate": 2.2284614818579425e-05, + "loss": 0.7319, + "step": 1052 + }, + { + "epoch": 0.6, + "learning_rate": 2.2230958283417895e-05, + "loss": 0.7018, + "step": 1053 + }, + { + "epoch": 0.6, + "learning_rate": 2.2177328374100794e-05, + "loss": 0.6529, + "step": 1054 + }, + { + "epoch": 0.6, + "learning_rate": 2.212372527442706e-05, + "loss": 0.6766, + "step": 1055 + }, + { + "epoch": 0.6, + "learning_rate": 2.2070149168103753e-05, + "loss": 0.656, + "step": 1056 + }, + { + "epoch": 0.6, + "learning_rate": 2.201660023874542e-05, + "loss": 0.6706, + "step": 1057 + }, + { + "epoch": 0.6, + "learning_rate": 2.1963078669873465e-05, + "loss": 0.6031, + "step": 1058 + }, + { + "epoch": 0.61, + "learning_rate": 2.190958464491551e-05, + "loss": 0.6684, + "step": 1059 + }, + { + "epoch": 0.61, + "learning_rate": 2.1856118347204827e-05, + "loss": 0.5866, + "step": 1060 + }, + { + "epoch": 0.61, + "learning_rate": 2.1802679959979613e-05, + "loss": 0.6689, + "step": 1061 + }, + { + "epoch": 0.61, + "learning_rate": 2.1749269666382426e-05, + "loss": 0.7511, + "step": 1062 + }, + { + "epoch": 0.61, + "learning_rate": 2.1695887649459546e-05, + "loss": 0.6821, + "step": 1063 + }, + { + "epoch": 0.61, + "learning_rate": 2.1642534092160323e-05, + "loss": 0.642, + "step": 1064 + }, + { + "epoch": 0.61, + "learning_rate": 2.1589209177336625e-05, + "loss": 0.5244, + "step": 1065 + }, + { + "epoch": 0.61, + "learning_rate": 2.1535913087742104e-05, + "loss": 0.6567, + "step": 1066 + }, + { + "epoch": 0.61, + "learning_rate": 2.1482646006031636e-05, + "loss": 0.6817, + "step": 1067 + }, + { + "epoch": 0.61, + "learning_rate": 2.1429408114760696e-05, + "loss": 0.7169, + "step": 1068 + }, + { + "epoch": 0.61, + "learning_rate": 2.1376199596384698e-05, + "loss": 0.6737, + "step": 1069 + }, + { + "epoch": 0.61, + "learning_rate": 2.1323020633258417e-05, + "loss": 0.5672, + "step": 1070 + }, + { + "epoch": 0.61, + "learning_rate": 2.1269871407635312e-05, + "loss": 0.7286, + "step": 1071 + }, + { + "epoch": 0.61, + "learning_rate": 2.1216752101666934e-05, + "loss": 0.6185, + "step": 1072 + }, + { + "epoch": 0.61, + "learning_rate": 2.1163662897402305e-05, + "loss": 0.6989, + "step": 1073 + }, + { + "epoch": 0.61, + "learning_rate": 2.111060397678726e-05, + "loss": 0.6635, + "step": 1074 + }, + { + "epoch": 0.61, + "learning_rate": 2.1057575521663873e-05, + "loss": 0.7397, + "step": 1075 + }, + { + "epoch": 0.61, + "learning_rate": 2.1004577713769795e-05, + "loss": 0.5889, + "step": 1076 + }, + { + "epoch": 0.62, + "learning_rate": 2.0951610734737648e-05, + "loss": 0.6393, + "step": 1077 + }, + { + "epoch": 0.62, + "learning_rate": 2.0898674766094385e-05, + "loss": 0.7026, + "step": 1078 + }, + { + "epoch": 0.62, + "learning_rate": 2.0845769989260673e-05, + "loss": 0.66, + "step": 1079 + }, + { + "epoch": 0.62, + "learning_rate": 2.0792896585550337e-05, + "loss": 0.5725, + "step": 1080 + }, + { + "epoch": 0.62, + "learning_rate": 2.0740054736169625e-05, + "loss": 0.6297, + "step": 1081 + }, + { + "epoch": 0.62, + "learning_rate": 2.068724462221665e-05, + "loss": 0.7333, + "step": 1082 + }, + { + "epoch": 0.62, + "learning_rate": 2.0634466424680772e-05, + "loss": 0.6535, + "step": 1083 + }, + { + "epoch": 0.62, + "learning_rate": 2.058172032444196e-05, + "loss": 0.625, + "step": 1084 + }, + { + "epoch": 0.62, + "learning_rate": 2.052900650227021e-05, + "loss": 0.6404, + "step": 1085 + }, + { + "epoch": 0.62, + "learning_rate": 2.0476325138824862e-05, + "loss": 0.6834, + "step": 1086 + }, + { + "epoch": 0.62, + "learning_rate": 2.0423676414654015e-05, + "loss": 0.6251, + "step": 1087 + }, + { + "epoch": 0.62, + "learning_rate": 2.0371060510193924e-05, + "loss": 0.7271, + "step": 1088 + }, + { + "epoch": 0.62, + "learning_rate": 2.0318477605768347e-05, + "loss": 0.7412, + "step": 1089 + }, + { + "epoch": 0.62, + "learning_rate": 2.0265927881587977e-05, + "loss": 0.7429, + "step": 1090 + }, + { + "epoch": 0.62, + "learning_rate": 2.021341151774977e-05, + "loss": 0.644, + "step": 1091 + }, + { + "epoch": 0.62, + "learning_rate": 2.016092869423633e-05, + "loss": 0.6157, + "step": 1092 + }, + { + "epoch": 0.62, + "learning_rate": 2.0108479590915366e-05, + "loss": 0.622, + "step": 1093 + }, + { + "epoch": 0.63, + "learning_rate": 2.0056064387538967e-05, + "loss": 0.7285, + "step": 1094 + }, + { + "epoch": 0.63, + "learning_rate": 2.0003683263743064e-05, + "loss": 0.6428, + "step": 1095 + }, + { + "epoch": 0.63, + "learning_rate": 1.9951336399046815e-05, + "loss": 0.6739, + "step": 1096 + }, + { + "epoch": 0.63, + "learning_rate": 1.989902397285193e-05, + "loss": 0.7277, + "step": 1097 + }, + { + "epoch": 0.63, + "learning_rate": 1.9846746164442106e-05, + "loss": 0.5932, + "step": 1098 + }, + { + "epoch": 0.63, + "learning_rate": 1.9794503152982397e-05, + "loss": 0.7204, + "step": 1099 + }, + { + "epoch": 0.63, + "learning_rate": 1.97422951175186e-05, + "loss": 0.7261, + "step": 1100 + }, + { + "epoch": 0.63, + "learning_rate": 1.9690122236976664e-05, + "loss": 0.7918, + "step": 1101 + }, + { + "epoch": 0.63, + "learning_rate": 1.9637984690162026e-05, + "loss": 0.7008, + "step": 1102 + }, + { + "epoch": 0.63, + "learning_rate": 1.9585882655759043e-05, + "loss": 0.7094, + "step": 1103 + }, + { + "epoch": 0.63, + "learning_rate": 1.9533816312330368e-05, + "loss": 0.5995, + "step": 1104 + }, + { + "epoch": 0.63, + "learning_rate": 1.9481785838316314e-05, + "loss": 0.7737, + "step": 1105 + }, + { + "epoch": 0.63, + "learning_rate": 1.9429791412034302e-05, + "loss": 0.7207, + "step": 1106 + }, + { + "epoch": 0.63, + "learning_rate": 1.9377833211678178e-05, + "loss": 0.7113, + "step": 1107 + }, + { + "epoch": 0.63, + "learning_rate": 1.932591141531764e-05, + "loss": 0.6705, + "step": 1108 + }, + { + "epoch": 0.63, + "learning_rate": 1.927402620089764e-05, + "loss": 0.7633, + "step": 1109 + }, + { + "epoch": 0.63, + "learning_rate": 1.9222177746237742e-05, + "loss": 0.7067, + "step": 1110 + }, + { + "epoch": 0.63, + "learning_rate": 1.917036622903153e-05, + "loss": 0.5801, + "step": 1111 + }, + { + "epoch": 0.64, + "learning_rate": 1.9118591826846003e-05, + "loss": 0.6165, + "step": 1112 + }, + { + "epoch": 0.64, + "learning_rate": 1.906685471712096e-05, + "loss": 0.6422, + "step": 1113 + }, + { + "epoch": 0.64, + "learning_rate": 1.9015155077168385e-05, + "loss": 0.6845, + "step": 1114 + }, + { + "epoch": 0.64, + "learning_rate": 1.8963493084171842e-05, + "loss": 0.7465, + "step": 1115 + }, + { + "epoch": 0.64, + "learning_rate": 1.8911868915185906e-05, + "loss": 0.6255, + "step": 1116 + }, + { + "epoch": 0.64, + "learning_rate": 1.886028274713548e-05, + "loss": 0.7332, + "step": 1117 + }, + { + "epoch": 0.64, + "learning_rate": 1.8808734756815253e-05, + "loss": 0.7103, + "step": 1118 + }, + { + "epoch": 0.64, + "learning_rate": 1.8757225120889066e-05, + "loss": 0.6521, + "step": 1119 + }, + { + "epoch": 0.64, + "learning_rate": 1.870575401588931e-05, + "loss": 0.8161, + "step": 1120 + }, + { + "epoch": 0.64, + "learning_rate": 1.8654321618216344e-05, + "loss": 0.7023, + "step": 1121 + }, + { + "epoch": 0.64, + "learning_rate": 1.8602928104137853e-05, + "loss": 0.6816, + "step": 1122 + }, + { + "epoch": 0.64, + "learning_rate": 1.855157364978826e-05, + "loss": 0.7118, + "step": 1123 + }, + { + "epoch": 0.64, + "learning_rate": 1.8500258431168127e-05, + "loss": 0.6067, + "step": 1124 + }, + { + "epoch": 0.64, + "learning_rate": 1.8448982624143532e-05, + "loss": 0.675, + "step": 1125 + }, + { + "epoch": 0.64, + "learning_rate": 1.8397746404445538e-05, + "loss": 0.657, + "step": 1126 + }, + { + "epoch": 0.64, + "learning_rate": 1.834654994766947e-05, + "loss": 0.7183, + "step": 1127 + }, + { + "epoch": 0.64, + "learning_rate": 1.829539342927441e-05, + "loss": 0.6412, + "step": 1128 + }, + { + "epoch": 0.65, + "learning_rate": 1.8244277024582564e-05, + "loss": 0.8324, + "step": 1129 + }, + { + "epoch": 0.65, + "learning_rate": 1.819320090877865e-05, + "loss": 0.6434, + "step": 1130 + }, + { + "epoch": 0.65, + "learning_rate": 1.814216525690932e-05, + "loss": 0.6691, + "step": 1131 + }, + { + "epoch": 0.65, + "learning_rate": 1.809117024388255e-05, + "loss": 0.6812, + "step": 1132 + }, + { + "epoch": 0.65, + "learning_rate": 1.8040216044467032e-05, + "loss": 0.6041, + "step": 1133 + }, + { + "epoch": 0.65, + "learning_rate": 1.798930283329159e-05, + "loss": 0.7071, + "step": 1134 + }, + { + "epoch": 0.65, + "learning_rate": 1.793843078484456e-05, + "loss": 0.7947, + "step": 1135 + }, + { + "epoch": 0.65, + "learning_rate": 1.7887600073473215e-05, + "loss": 0.7988, + "step": 1136 + }, + { + "epoch": 0.65, + "learning_rate": 1.7836810873383172e-05, + "loss": 0.7014, + "step": 1137 + }, + { + "epoch": 0.65, + "learning_rate": 1.7786063358637773e-05, + "loss": 0.7344, + "step": 1138 + }, + { + "epoch": 0.65, + "learning_rate": 1.773535770315748e-05, + "loss": 0.8289, + "step": 1139 + }, + { + "epoch": 0.65, + "learning_rate": 1.768469408071932e-05, + "loss": 0.6702, + "step": 1140 + }, + { + "epoch": 0.65, + "learning_rate": 1.763407266495624e-05, + "loss": 0.6289, + "step": 1141 + }, + { + "epoch": 0.65, + "learning_rate": 1.7583493629356572e-05, + "loss": 0.5965, + "step": 1142 + }, + { + "epoch": 0.65, + "learning_rate": 1.753295714726338e-05, + "loss": 0.7443, + "step": 1143 + }, + { + "epoch": 0.65, + "learning_rate": 1.7482463391873887e-05, + "loss": 0.769, + "step": 1144 + }, + { + "epoch": 0.65, + "learning_rate": 1.7432012536238898e-05, + "loss": 0.7523, + "step": 1145 + }, + { + "epoch": 0.65, + "learning_rate": 1.738160475326218e-05, + "loss": 0.8425, + "step": 1146 + }, + { + "epoch": 0.66, + "learning_rate": 1.73312402156999e-05, + "loss": 0.8588, + "step": 1147 + }, + { + "epoch": 0.66, + "learning_rate": 1.728091909616001e-05, + "loss": 0.6687, + "step": 1148 + }, + { + "epoch": 0.66, + "learning_rate": 1.723064156710164e-05, + "loss": 0.6634, + "step": 1149 + }, + { + "epoch": 0.66, + "learning_rate": 1.718040780083455e-05, + "loss": 0.6668, + "step": 1150 + }, + { + "epoch": 0.66, + "learning_rate": 1.71302179695185e-05, + "loss": 0.8701, + "step": 1151 + }, + { + "epoch": 0.66, + "learning_rate": 1.7080072245162715e-05, + "loss": 0.7142, + "step": 1152 + }, + { + "epoch": 0.66, + "learning_rate": 1.7029970799625217e-05, + "loss": 0.6675, + "step": 1153 + }, + { + "epoch": 0.66, + "learning_rate": 1.6979913804612293e-05, + "loss": 0.7825, + "step": 1154 + }, + { + "epoch": 0.66, + "learning_rate": 1.6929901431677885e-05, + "loss": 0.72, + "step": 1155 + }, + { + "epoch": 0.66, + "learning_rate": 1.6879933852223e-05, + "loss": 0.8381, + "step": 1156 + }, + { + "epoch": 0.66, + "learning_rate": 1.6830011237495174e-05, + "loss": 0.6991, + "step": 1157 + }, + { + "epoch": 0.66, + "learning_rate": 1.6780133758587782e-05, + "loss": 0.7356, + "step": 1158 + }, + { + "epoch": 0.66, + "learning_rate": 1.673030158643955e-05, + "loss": 0.6712, + "step": 1159 + }, + { + "epoch": 0.66, + "learning_rate": 1.6680514891833908e-05, + "loss": 0.6645, + "step": 1160 + }, + { + "epoch": 0.66, + "learning_rate": 1.6630773845398427e-05, + "loss": 0.7014, + "step": 1161 + }, + { + "epoch": 0.66, + "learning_rate": 1.6581078617604274e-05, + "loss": 0.7766, + "step": 1162 + }, + { + "epoch": 0.66, + "learning_rate": 1.6531429378765536e-05, + "loss": 0.7153, + "step": 1163 + }, + { + "epoch": 0.67, + "learning_rate": 1.6481826299038704e-05, + "loss": 0.7758, + "step": 1164 + }, + { + "epoch": 0.67, + "learning_rate": 1.6432269548422087e-05, + "loss": 0.6753, + "step": 1165 + }, + { + "epoch": 0.67, + "learning_rate": 1.6382759296755204e-05, + "loss": 0.7434, + "step": 1166 + }, + { + "epoch": 0.67, + "learning_rate": 1.6333295713718206e-05, + "loss": 0.7652, + "step": 1167 + }, + { + "epoch": 0.67, + "learning_rate": 1.6283878968831333e-05, + "loss": 0.6224, + "step": 1168 + }, + { + "epoch": 0.67, + "learning_rate": 1.6234509231454277e-05, + "loss": 0.6707, + "step": 1169 + }, + { + "epoch": 0.67, + "learning_rate": 1.6185186670785632e-05, + "loss": 0.752, + "step": 1170 + }, + { + "epoch": 0.67, + "learning_rate": 1.613591145586231e-05, + "loss": 0.6293, + "step": 1171 + }, + { + "epoch": 0.67, + "learning_rate": 1.6086683755558952e-05, + "loss": 0.6642, + "step": 1172 + }, + { + "epoch": 0.67, + "learning_rate": 1.603750373858739e-05, + "loss": 0.7629, + "step": 1173 + }, + { + "epoch": 0.67, + "learning_rate": 1.5988371573495998e-05, + "loss": 0.7175, + "step": 1174 + }, + { + "epoch": 0.67, + "learning_rate": 1.5939287428669168e-05, + "loss": 0.743, + "step": 1175 + }, + { + "epoch": 0.67, + "learning_rate": 1.589025147232674e-05, + "loss": 0.7385, + "step": 1176 + }, + { + "epoch": 0.67, + "learning_rate": 1.5841263872523373e-05, + "loss": 0.7858, + "step": 1177 + }, + { + "epoch": 0.67, + "learning_rate": 1.5792324797147996e-05, + "loss": 0.7718, + "step": 1178 + }, + { + "epoch": 0.67, + "learning_rate": 1.574343441392328e-05, + "loss": 0.5513, + "step": 1179 + }, + { + "epoch": 0.67, + "learning_rate": 1.5694592890404976e-05, + "loss": 0.7526, + "step": 1180 + }, + { + "epoch": 0.67, + "learning_rate": 1.5645800393981402e-05, + "loss": 0.6316, + "step": 1181 + }, + { + "epoch": 0.68, + "learning_rate": 1.5597057091872838e-05, + "loss": 0.7379, + "step": 1182 + }, + { + "epoch": 0.68, + "learning_rate": 1.5548363151131e-05, + "loss": 0.6938, + "step": 1183 + }, + { + "epoch": 0.68, + "learning_rate": 1.54997187386384e-05, + "loss": 0.7627, + "step": 1184 + }, + { + "epoch": 0.68, + "learning_rate": 1.545112402110782e-05, + "loss": 0.7092, + "step": 1185 + }, + { + "epoch": 0.68, + "learning_rate": 1.540257916508173e-05, + "loss": 0.6442, + "step": 1186 + }, + { + "epoch": 0.68, + "learning_rate": 1.5354084336931707e-05, + "loss": 0.6888, + "step": 1187 + }, + { + "epoch": 0.68, + "learning_rate": 1.5305639702857895e-05, + "loss": 0.6899, + "step": 1188 + }, + { + "epoch": 0.68, + "learning_rate": 1.5257245428888397e-05, + "loss": 0.6168, + "step": 1189 + }, + { + "epoch": 0.68, + "learning_rate": 1.5208901680878726e-05, + "loss": 0.7594, + "step": 1190 + }, + { + "epoch": 0.68, + "learning_rate": 1.5160608624511238e-05, + "loss": 0.6841, + "step": 1191 + }, + { + "epoch": 0.68, + "learning_rate": 1.5112366425294541e-05, + "loss": 0.7183, + "step": 1192 + }, + { + "epoch": 0.68, + "learning_rate": 1.5064175248562988e-05, + "loss": 0.8455, + "step": 1193 + }, + { + "epoch": 0.68, + "learning_rate": 1.5016035259476032e-05, + "loss": 0.7439, + "step": 1194 + }, + { + "epoch": 0.68, + "learning_rate": 1.496794662301771e-05, + "loss": 0.638, + "step": 1195 + }, + { + "epoch": 0.68, + "learning_rate": 1.4919909503996063e-05, + "loss": 0.5528, + "step": 1196 + }, + { + "epoch": 0.68, + "learning_rate": 1.4871924067042563e-05, + "loss": 0.7507, + "step": 1197 + }, + { + "epoch": 0.68, + "learning_rate": 1.4823990476611592e-05, + "loss": 0.7686, + "step": 1198 + }, + { + "epoch": 0.69, + "learning_rate": 1.4776108896979811e-05, + "loss": 0.7378, + "step": 1199 + }, + { + "epoch": 0.69, + "learning_rate": 1.4728279492245647e-05, + "loss": 0.7201, + "step": 1200 + }, + { + "epoch": 0.69, + "learning_rate": 1.4680502426328704e-05, + "loss": 0.7294, + "step": 1201 + }, + { + "epoch": 0.69, + "learning_rate": 1.4632777862969217e-05, + "loss": 0.7165, + "step": 1202 + }, + { + "epoch": 0.69, + "learning_rate": 1.4585105965727482e-05, + "loss": 0.781, + "step": 1203 + }, + { + "epoch": 0.69, + "learning_rate": 1.4537486897983323e-05, + "loss": 0.8344, + "step": 1204 + }, + { + "epoch": 0.69, + "learning_rate": 1.4489920822935475e-05, + "loss": 0.7604, + "step": 1205 + }, + { + "epoch": 0.69, + "learning_rate": 1.4442407903601079e-05, + "loss": 0.6557, + "step": 1206 + }, + { + "epoch": 0.69, + "learning_rate": 1.4394948302815088e-05, + "loss": 0.7388, + "step": 1207 + }, + { + "epoch": 0.69, + "learning_rate": 1.4347542183229721e-05, + "loss": 0.7839, + "step": 1208 + }, + { + "epoch": 0.69, + "learning_rate": 1.4300189707313945e-05, + "loss": 0.766, + "step": 1209 + }, + { + "epoch": 0.69, + "learning_rate": 1.4252891037352834e-05, + "loss": 0.7245, + "step": 1210 + }, + { + "epoch": 0.69, + "learning_rate": 1.4205646335447084e-05, + "loss": 0.6735, + "step": 1211 + }, + { + "epoch": 0.69, + "learning_rate": 1.4158455763512414e-05, + "loss": 0.746, + "step": 1212 + }, + { + "epoch": 0.69, + "learning_rate": 1.4111319483279063e-05, + "loss": 0.6507, + "step": 1213 + }, + { + "epoch": 0.69, + "learning_rate": 1.4064237656291183e-05, + "loss": 0.8152, + "step": 1214 + }, + { + "epoch": 0.69, + "learning_rate": 1.4017210443906287e-05, + "loss": 0.7951, + "step": 1215 + }, + { + "epoch": 0.69, + "learning_rate": 1.3970238007294757e-05, + "loss": 0.7911, + "step": 1216 + }, + { + "epoch": 0.7, + "learning_rate": 1.3923320507439218e-05, + "loss": 0.7998, + "step": 1217 + }, + { + "epoch": 0.7, + "learning_rate": 1.387645810513401e-05, + "loss": 0.9003, + "step": 1218 + }, + { + "epoch": 0.7, + "learning_rate": 1.3829650960984685e-05, + "loss": 0.7251, + "step": 1219 + }, + { + "epoch": 0.7, + "learning_rate": 1.3782899235407375e-05, + "loss": 0.8421, + "step": 1220 + }, + { + "epoch": 0.7, + "learning_rate": 1.3736203088628304e-05, + "loss": 0.6894, + "step": 1221 + }, + { + "epoch": 0.7, + "learning_rate": 1.3689562680683206e-05, + "loss": 0.804, + "step": 1222 + }, + { + "epoch": 0.7, + "learning_rate": 1.3642978171416786e-05, + "loss": 0.8341, + "step": 1223 + }, + { + "epoch": 0.7, + "learning_rate": 1.3596449720482203e-05, + "loss": 0.7345, + "step": 1224 + }, + { + "epoch": 0.7, + "learning_rate": 1.3549977487340467e-05, + "loss": 0.8026, + "step": 1225 + }, + { + "epoch": 0.7, + "learning_rate": 1.3503561631259924e-05, + "loss": 0.8868, + "step": 1226 + }, + { + "epoch": 0.7, + "learning_rate": 1.3457202311315714e-05, + "loss": 0.9218, + "step": 1227 + }, + { + "epoch": 0.7, + "learning_rate": 1.3410899686389194e-05, + "loss": 0.7833, + "step": 1228 + }, + { + "epoch": 0.7, + "learning_rate": 1.3364653915167465e-05, + "loss": 0.732, + "step": 1229 + }, + { + "epoch": 0.7, + "learning_rate": 1.3318465156142744e-05, + "loss": 0.708, + "step": 1230 + }, + { + "epoch": 0.7, + "learning_rate": 1.3272333567611857e-05, + "loss": 0.7285, + "step": 1231 + }, + { + "epoch": 0.7, + "learning_rate": 1.3226259307675711e-05, + "loss": 0.825, + "step": 1232 + }, + { + "epoch": 0.7, + "learning_rate": 1.3180242534238723e-05, + "loss": 0.8444, + "step": 1233 + }, + { + "epoch": 0.71, + "learning_rate": 1.313428340500832e-05, + "loss": 0.7145, + "step": 1234 + }, + { + "epoch": 0.71, + "learning_rate": 1.308838207749435e-05, + "loss": 0.675, + "step": 1235 + }, + { + "epoch": 0.71, + "learning_rate": 1.3042538709008568e-05, + "loss": 0.7996, + "step": 1236 + }, + { + "epoch": 0.71, + "learning_rate": 1.2996753456664097e-05, + "loss": 0.7077, + "step": 1237 + }, + { + "epoch": 0.71, + "learning_rate": 1.2951026477374882e-05, + "loss": 0.6692, + "step": 1238 + }, + { + "epoch": 0.71, + "learning_rate": 1.2905357927855153e-05, + "loss": 0.8044, + "step": 1239 + }, + { + "epoch": 0.71, + "learning_rate": 1.2859747964618915e-05, + "loss": 0.7766, + "step": 1240 + }, + { + "epoch": 0.71, + "learning_rate": 1.2814196743979355e-05, + "loss": 0.846, + "step": 1241 + }, + { + "epoch": 0.71, + "learning_rate": 1.2768704422048365e-05, + "loss": 0.7149, + "step": 1242 + }, + { + "epoch": 0.71, + "learning_rate": 1.272327115473596e-05, + "loss": 0.8065, + "step": 1243 + }, + { + "epoch": 0.71, + "learning_rate": 1.2677897097749768e-05, + "loss": 0.837, + "step": 1244 + }, + { + "epoch": 0.71, + "learning_rate": 1.263258240659452e-05, + "loss": 0.7389, + "step": 1245 + }, + { + "epoch": 0.71, + "learning_rate": 1.2587327236571457e-05, + "loss": 0.8551, + "step": 1246 + }, + { + "epoch": 0.71, + "learning_rate": 1.2542131742777845e-05, + "loss": 0.9087, + "step": 1247 + }, + { + "epoch": 0.71, + "learning_rate": 1.249699608010642e-05, + "loss": 0.8362, + "step": 1248 + }, + { + "epoch": 0.71, + "learning_rate": 1.2451920403244888e-05, + "loss": 0.8026, + "step": 1249 + }, + { + "epoch": 0.71, + "learning_rate": 1.2406904866675354e-05, + "loss": 0.824, + "step": 1250 + }, + { + "epoch": 0.71, + "learning_rate": 1.2361949624673807e-05, + "loss": 0.8129, + "step": 1251 + }, + { + "epoch": 0.72, + "learning_rate": 1.2317054831309626e-05, + "loss": 0.7929, + "step": 1252 + }, + { + "epoch": 0.72, + "learning_rate": 1.2272220640444992e-05, + "loss": 0.8568, + "step": 1253 + }, + { + "epoch": 0.72, + "learning_rate": 1.22274472057344e-05, + "loss": 0.6599, + "step": 1254 + }, + { + "epoch": 0.72, + "learning_rate": 1.2182734680624115e-05, + "loss": 0.6863, + "step": 1255 + }, + { + "epoch": 0.72, + "learning_rate": 1.2138083218351685e-05, + "loss": 0.9985, + "step": 1256 + }, + { + "epoch": 0.72, + "learning_rate": 1.2093492971945355e-05, + "loss": 0.8038, + "step": 1257 + }, + { + "epoch": 0.72, + "learning_rate": 1.2048964094223577e-05, + "loss": 0.8079, + "step": 1258 + }, + { + "epoch": 0.72, + "learning_rate": 1.2004496737794478e-05, + "loss": 0.6987, + "step": 1259 + }, + { + "epoch": 0.72, + "learning_rate": 1.1960091055055374e-05, + "loss": 0.7886, + "step": 1260 + }, + { + "epoch": 0.72, + "learning_rate": 1.1915747198192176e-05, + "loss": 0.8175, + "step": 1261 + }, + { + "epoch": 0.72, + "learning_rate": 1.187146531917892e-05, + "loss": 0.741, + "step": 1262 + }, + { + "epoch": 0.72, + "learning_rate": 1.1827245569777236e-05, + "loss": 0.7373, + "step": 1263 + }, + { + "epoch": 0.72, + "learning_rate": 1.1783088101535814e-05, + "loss": 0.751, + "step": 1264 + }, + { + "epoch": 0.72, + "learning_rate": 1.1738993065789923e-05, + "loss": 0.8152, + "step": 1265 + }, + { + "epoch": 0.72, + "learning_rate": 1.1694960613660842e-05, + "loss": 0.8015, + "step": 1266 + }, + { + "epoch": 0.72, + "learning_rate": 1.1650990896055369e-05, + "loss": 0.8395, + "step": 1267 + }, + { + "epoch": 0.72, + "learning_rate": 1.1607084063665292e-05, + "loss": 0.7202, + "step": 1268 + }, + { + "epoch": 0.73, + "learning_rate": 1.1563240266966895e-05, + "loss": 0.9587, + "step": 1269 + }, + { + "epoch": 0.73, + "learning_rate": 1.1519459656220434e-05, + "loss": 0.8308, + "step": 1270 + }, + { + "epoch": 0.73, + "learning_rate": 1.1475742381469595e-05, + "loss": 0.9012, + "step": 1271 + }, + { + "epoch": 0.73, + "learning_rate": 1.143208859254101e-05, + "loss": 0.7489, + "step": 1272 + }, + { + "epoch": 0.73, + "learning_rate": 1.138849843904374e-05, + "loss": 0.8647, + "step": 1273 + }, + { + "epoch": 0.73, + "learning_rate": 1.1344972070368745e-05, + "loss": 0.8657, + "step": 1274 + }, + { + "epoch": 0.73, + "learning_rate": 1.1301509635688379e-05, + "loss": 0.8042, + "step": 1275 + }, + { + "epoch": 0.73, + "learning_rate": 1.1258111283955917e-05, + "loss": 0.8915, + "step": 1276 + }, + { + "epoch": 0.73, + "learning_rate": 1.1214777163904979e-05, + "loss": 0.9336, + "step": 1277 + }, + { + "epoch": 0.73, + "learning_rate": 1.1171507424049051e-05, + "loss": 0.8286, + "step": 1278 + }, + { + "epoch": 0.73, + "learning_rate": 1.1128302212680995e-05, + "loss": 0.918, + "step": 1279 + }, + { + "epoch": 0.73, + "learning_rate": 1.1085161677872499e-05, + "loss": 0.8101, + "step": 1280 + }, + { + "epoch": 0.73, + "learning_rate": 1.104208596747363e-05, + "loss": 0.7847, + "step": 1281 + }, + { + "epoch": 0.73, + "learning_rate": 1.0999075229112257e-05, + "loss": 0.8828, + "step": 1282 + }, + { + "epoch": 0.73, + "learning_rate": 1.0956129610193597e-05, + "loss": 0.8338, + "step": 1283 + }, + { + "epoch": 0.73, + "learning_rate": 1.0913249257899674e-05, + "loss": 0.837, + "step": 1284 + }, + { + "epoch": 0.73, + "learning_rate": 1.0870434319188842e-05, + "loss": 0.6845, + "step": 1285 + }, + { + "epoch": 0.73, + "learning_rate": 1.0827684940795289e-05, + "loss": 0.7968, + "step": 1286 + }, + { + "epoch": 0.74, + "learning_rate": 1.0785001269228487e-05, + "loss": 0.7873, + "step": 1287 + }, + { + "epoch": 0.74, + "learning_rate": 1.0742383450772724e-05, + "loss": 0.9024, + "step": 1288 + }, + { + "epoch": 0.74, + "learning_rate": 1.069983163148663e-05, + "loss": 0.909, + "step": 1289 + }, + { + "epoch": 0.74, + "learning_rate": 1.0657345957202605e-05, + "loss": 0.7618, + "step": 1290 + }, + { + "epoch": 0.74, + "learning_rate": 1.0614926573526366e-05, + "loss": 0.7524, + "step": 1291 + }, + { + "epoch": 0.74, + "learning_rate": 1.0572573625836468e-05, + "loss": 0.8346, + "step": 1292 + }, + { + "epoch": 0.74, + "learning_rate": 1.0530287259283752e-05, + "loss": 0.8522, + "step": 1293 + }, + { + "epoch": 0.74, + "learning_rate": 1.048806761879088e-05, + "loss": 0.7612, + "step": 1294 + }, + { + "epoch": 0.74, + "learning_rate": 1.0445914849051826e-05, + "loss": 0.8199, + "step": 1295 + }, + { + "epoch": 0.74, + "learning_rate": 1.0403829094531409e-05, + "loss": 0.8129, + "step": 1296 + }, + { + "epoch": 0.74, + "learning_rate": 1.0361810499464755e-05, + "loss": 0.8536, + "step": 1297 + }, + { + "epoch": 0.74, + "learning_rate": 1.0319859207856826e-05, + "loss": 0.7941, + "step": 1298 + }, + { + "epoch": 0.74, + "learning_rate": 1.0277975363481928e-05, + "loss": 0.8237, + "step": 1299 + }, + { + "epoch": 0.74, + "learning_rate": 1.0236159109883197e-05, + "loss": 0.8334, + "step": 1300 + }, + { + "epoch": 0.74, + "learning_rate": 1.0194410590372165e-05, + "loss": 0.905, + "step": 1301 + }, + { + "epoch": 0.74, + "learning_rate": 1.0152729948028183e-05, + "loss": 0.7936, + "step": 1302 + }, + { + "epoch": 0.74, + "learning_rate": 1.0111117325697999e-05, + "loss": 0.7619, + "step": 1303 + }, + { + "epoch": 0.75, + "learning_rate": 1.0069572865995238e-05, + "loss": 0.8751, + "step": 1304 + }, + { + "epoch": 0.75, + "learning_rate": 1.0028096711299907e-05, + "loss": 0.8348, + "step": 1305 + }, + { + "epoch": 0.75, + "learning_rate": 9.986689003757957e-06, + "loss": 0.789, + "step": 1306 + }, + { + "epoch": 0.75, + "learning_rate": 9.945349885280725e-06, + "loss": 0.7916, + "step": 1307 + }, + { + "epoch": 0.75, + "learning_rate": 9.904079497544497e-06, + "loss": 0.8478, + "step": 1308 + }, + { + "epoch": 0.75, + "learning_rate": 9.86287798198999e-06, + "loss": 0.7049, + "step": 1309 + }, + { + "epoch": 0.75, + "learning_rate": 9.821745479821907e-06, + "loss": 0.7857, + "step": 1310 + }, + { + "epoch": 0.75, + "learning_rate": 9.780682132008404e-06, + "loss": 0.6976, + "step": 1311 + }, + { + "epoch": 0.75, + "learning_rate": 9.73968807928067e-06, + "loss": 0.7828, + "step": 1312 + }, + { + "epoch": 0.75, + "learning_rate": 9.698763462132379e-06, + "loss": 0.9238, + "step": 1313 + }, + { + "epoch": 0.75, + "learning_rate": 9.657908420819238e-06, + "loss": 0.8616, + "step": 1314 + }, + { + "epoch": 0.75, + "learning_rate": 9.617123095358516e-06, + "loss": 0.804, + "step": 1315 + }, + { + "epoch": 0.75, + "learning_rate": 9.576407625528542e-06, + "loss": 0.6784, + "step": 1316 + }, + { + "epoch": 0.75, + "learning_rate": 9.535762150868263e-06, + "loss": 0.7249, + "step": 1317 + }, + { + "epoch": 0.75, + "learning_rate": 9.495186810676711e-06, + "loss": 0.8955, + "step": 1318 + }, + { + "epoch": 0.75, + "learning_rate": 9.454681744012571e-06, + "loss": 0.8126, + "step": 1319 + }, + { + "epoch": 0.75, + "learning_rate": 9.414247089693681e-06, + "loss": 0.9375, + "step": 1320 + }, + { + "epoch": 0.75, + "learning_rate": 9.373882986296564e-06, + "loss": 0.7388, + "step": 1321 + }, + { + "epoch": 0.76, + "learning_rate": 9.33358957215597e-06, + "loss": 0.8288, + "step": 1322 + }, + { + "epoch": 0.76, + "learning_rate": 9.293366985364366e-06, + "loss": 0.7996, + "step": 1323 + }, + { + "epoch": 0.76, + "learning_rate": 9.253215363771483e-06, + "loss": 0.8633, + "step": 1324 + }, + { + "epoch": 0.76, + "learning_rate": 9.213134844983834e-06, + "loss": 0.8469, + "step": 1325 + }, + { + "epoch": 0.76, + "learning_rate": 9.17312556636429e-06, + "loss": 0.8105, + "step": 1326 + }, + { + "epoch": 0.76, + "learning_rate": 9.133187665031522e-06, + "loss": 0.8902, + "step": 1327 + }, + { + "epoch": 0.76, + "learning_rate": 9.093321277859594e-06, + "loss": 0.8215, + "step": 1328 + }, + { + "epoch": 0.76, + "learning_rate": 9.0535265414775e-06, + "loss": 0.9031, + "step": 1329 + }, + { + "epoch": 0.76, + "learning_rate": 9.013803592268652e-06, + "loss": 0.8164, + "step": 1330 + }, + { + "epoch": 0.76, + "learning_rate": 8.974152566370428e-06, + "loss": 0.9964, + "step": 1331 + }, + { + "epoch": 0.76, + "learning_rate": 8.934573599673745e-06, + "loss": 0.8584, + "step": 1332 + }, + { + "epoch": 0.76, + "learning_rate": 8.895066827822529e-06, + "loss": 0.8536, + "step": 1333 + }, + { + "epoch": 0.76, + "learning_rate": 8.855632386213293e-06, + "loss": 0.7563, + "step": 1334 + }, + { + "epoch": 0.76, + "learning_rate": 8.816270409994669e-06, + "loss": 0.7476, + "step": 1335 + }, + { + "epoch": 0.76, + "learning_rate": 8.776981034066912e-06, + "loss": 0.9192, + "step": 1336 + }, + { + "epoch": 0.76, + "learning_rate": 8.737764393081505e-06, + "loss": 0.8603, + "step": 1337 + }, + { + "epoch": 0.76, + "learning_rate": 8.698620621440628e-06, + "loss": 0.8525, + "step": 1338 + }, + { + "epoch": 0.77, + "learning_rate": 8.659549853296723e-06, + "loss": 0.7207, + "step": 1339 + }, + { + "epoch": 0.77, + "learning_rate": 8.62055222255205e-06, + "loss": 0.8311, + "step": 1340 + }, + { + "epoch": 0.77, + "learning_rate": 8.581627862858196e-06, + "loss": 0.8513, + "step": 1341 + }, + { + "epoch": 0.77, + "learning_rate": 8.542776907615662e-06, + "loss": 0.8441, + "step": 1342 + }, + { + "epoch": 0.77, + "learning_rate": 8.503999489973362e-06, + "loss": 1.0006, + "step": 1343 + }, + { + "epoch": 0.77, + "learning_rate": 8.465295742828184e-06, + "loss": 0.7336, + "step": 1344 + }, + { + "epoch": 0.77, + "learning_rate": 8.42666579882454e-06, + "loss": 0.8971, + "step": 1345 + }, + { + "epoch": 0.77, + "learning_rate": 8.3881097903539e-06, + "loss": 0.9649, + "step": 1346 + }, + { + "epoch": 0.77, + "learning_rate": 8.34962784955434e-06, + "loss": 0.8902, + "step": 1347 + }, + { + "epoch": 0.77, + "learning_rate": 8.311220108310119e-06, + "loss": 0.9103, + "step": 1348 + }, + { + "epoch": 0.77, + "learning_rate": 8.272886698251171e-06, + "loss": 0.7893, + "step": 1349 + }, + { + "epoch": 0.77, + "learning_rate": 8.234627750752702e-06, + "loss": 0.7654, + "step": 1350 + }, + { + "epoch": 0.77, + "learning_rate": 8.196443396934716e-06, + "loss": 0.6874, + "step": 1351 + }, + { + "epoch": 0.77, + "learning_rate": 8.158333767661557e-06, + "loss": 0.7692, + "step": 1352 + }, + { + "epoch": 0.77, + "learning_rate": 8.120298993541514e-06, + "loss": 0.9211, + "step": 1353 + }, + { + "epoch": 0.77, + "learning_rate": 8.082339204926297e-06, + "loss": 0.7689, + "step": 1354 + }, + { + "epoch": 0.77, + "learning_rate": 8.044454531910646e-06, + "loss": 0.9029, + "step": 1355 + }, + { + "epoch": 0.77, + "learning_rate": 8.00664510433186e-06, + "loss": 1.0813, + "step": 1356 + }, + { + "epoch": 0.78, + "learning_rate": 7.96891105176935e-06, + "loss": 0.8261, + "step": 1357 + }, + { + "epoch": 0.78, + "learning_rate": 7.93125250354424e-06, + "loss": 0.8527, + "step": 1358 + }, + { + "epoch": 0.78, + "learning_rate": 7.893669588718844e-06, + "loss": 0.843, + "step": 1359 + }, + { + "epoch": 0.78, + "learning_rate": 7.856162436096294e-06, + "loss": 0.8165, + "step": 1360 + }, + { + "epoch": 0.78, + "learning_rate": 7.818731174220056e-06, + "loss": 0.842, + "step": 1361 + }, + { + "epoch": 0.78, + "learning_rate": 7.78137593137352e-06, + "loss": 0.8933, + "step": 1362 + }, + { + "epoch": 0.78, + "learning_rate": 7.744096835579539e-06, + "loss": 0.8831, + "step": 1363 + }, + { + "epoch": 0.78, + "learning_rate": 7.706894014599994e-06, + "loss": 0.834, + "step": 1364 + }, + { + "epoch": 0.78, + "learning_rate": 7.669767595935358e-06, + "loss": 0.8306, + "step": 1365 + }, + { + "epoch": 0.78, + "learning_rate": 7.632717706824273e-06, + "loss": 0.9469, + "step": 1366 + }, + { + "epoch": 0.78, + "learning_rate": 7.595744474243089e-06, + "loss": 0.874, + "step": 1367 + }, + { + "epoch": 0.78, + "learning_rate": 7.558848024905435e-06, + "loss": 0.7326, + "step": 1368 + }, + { + "epoch": 0.78, + "learning_rate": 7.522028485261814e-06, + "loss": 0.8573, + "step": 1369 + }, + { + "epoch": 0.78, + "learning_rate": 7.4852859814991235e-06, + "loss": 1.002, + "step": 1370 + }, + { + "epoch": 0.78, + "learning_rate": 7.448620639540256e-06, + "loss": 0.8139, + "step": 1371 + }, + { + "epoch": 0.78, + "learning_rate": 7.41203258504365e-06, + "loss": 0.7543, + "step": 1372 + }, + { + "epoch": 0.78, + "learning_rate": 7.375521943402879e-06, + "loss": 0.967, + "step": 1373 + }, + { + "epoch": 0.79, + "learning_rate": 7.339088839746201e-06, + "loss": 0.9373, + "step": 1374 + }, + { + "epoch": 0.79, + "learning_rate": 7.302733398936136e-06, + "loss": 0.8668, + "step": 1375 + }, + { + "epoch": 0.79, + "learning_rate": 7.266455745569046e-06, + "loss": 0.8992, + "step": 1376 + }, + { + "epoch": 0.79, + "learning_rate": 7.230256003974689e-06, + "loss": 0.9574, + "step": 1377 + }, + { + "epoch": 0.79, + "learning_rate": 7.194134298215832e-06, + "loss": 0.8469, + "step": 1378 + }, + { + "epoch": 0.79, + "learning_rate": 7.158090752087776e-06, + "loss": 0.8849, + "step": 1379 + }, + { + "epoch": 0.79, + "learning_rate": 7.1221254891179625e-06, + "loss": 0.8809, + "step": 1380 + }, + { + "epoch": 0.79, + "learning_rate": 7.086238632565544e-06, + "loss": 0.8484, + "step": 1381 + }, + { + "epoch": 0.79, + "learning_rate": 7.050430305420961e-06, + "loss": 0.9786, + "step": 1382 + }, + { + "epoch": 0.79, + "learning_rate": 7.014700630405513e-06, + "loss": 0.9801, + "step": 1383 + }, + { + "epoch": 0.79, + "learning_rate": 6.979049729970969e-06, + "loss": 0.7151, + "step": 1384 + }, + { + "epoch": 0.79, + "learning_rate": 6.9434777262990945e-06, + "loss": 0.8636, + "step": 1385 + }, + { + "epoch": 0.79, + "learning_rate": 6.907984741301275e-06, + "loss": 0.9098, + "step": 1386 + }, + { + "epoch": 0.79, + "learning_rate": 6.872570896618089e-06, + "loss": 0.8938, + "step": 1387 + }, + { + "epoch": 0.79, + "learning_rate": 6.83723631361887e-06, + "loss": 0.8347, + "step": 1388 + }, + { + "epoch": 0.79, + "learning_rate": 6.801981113401342e-06, + "loss": 0.8042, + "step": 1389 + }, + { + "epoch": 0.79, + "learning_rate": 6.766805416791138e-06, + "loss": 0.9877, + "step": 1390 + }, + { + "epoch": 0.79, + "learning_rate": 6.731709344341437e-06, + "loss": 0.9643, + "step": 1391 + }, + { + "epoch": 0.8, + "learning_rate": 6.696693016332519e-06, + "loss": 0.79, + "step": 1392 + }, + { + "epoch": 0.8, + "learning_rate": 6.661756552771366e-06, + "loss": 0.9065, + "step": 1393 + }, + { + "epoch": 0.8, + "learning_rate": 6.626900073391276e-06, + "loss": 0.9984, + "step": 1394 + }, + { + "epoch": 0.8, + "learning_rate": 6.592123697651399e-06, + "loss": 0.8666, + "step": 1395 + }, + { + "epoch": 0.8, + "learning_rate": 6.557427544736365e-06, + "loss": 0.9297, + "step": 1396 + }, + { + "epoch": 0.8, + "learning_rate": 6.5228117335558736e-06, + "loss": 0.8915, + "step": 1397 + }, + { + "epoch": 0.8, + "learning_rate": 6.488276382744259e-06, + "loss": 0.9384, + "step": 1398 + }, + { + "epoch": 0.8, + "learning_rate": 6.453821610660135e-06, + "loss": 0.9096, + "step": 1399 + }, + { + "epoch": 0.8, + "learning_rate": 6.419447535385936e-06, + "loss": 0.9949, + "step": 1400 + }, + { + "epoch": 0.8, + "learning_rate": 6.385154274727533e-06, + "loss": 0.8687, + "step": 1401 + }, + { + "epoch": 0.8, + "learning_rate": 6.350941946213849e-06, + "loss": 0.7848, + "step": 1402 + }, + { + "epoch": 0.8, + "learning_rate": 6.316810667096422e-06, + "loss": 0.968, + "step": 1403 + }, + { + "epoch": 0.8, + "learning_rate": 6.282760554349021e-06, + "loss": 1.0317, + "step": 1404 + }, + { + "epoch": 0.8, + "learning_rate": 6.248791724667264e-06, + "loss": 0.8551, + "step": 1405 + }, + { + "epoch": 0.8, + "learning_rate": 6.214904294468172e-06, + "loss": 0.9323, + "step": 1406 + }, + { + "epoch": 0.8, + "learning_rate": 6.1810983798898066e-06, + "loss": 0.8712, + "step": 1407 + }, + { + "epoch": 0.8, + "learning_rate": 6.147374096790854e-06, + "loss": 0.8468, + "step": 1408 + }, + { + "epoch": 0.81, + "learning_rate": 6.1137315607502575e-06, + "loss": 0.8039, + "step": 1409 + }, + { + "epoch": 0.81, + "learning_rate": 6.080170887066781e-06, + "loss": 0.9687, + "step": 1410 + }, + { + "epoch": 0.81, + "learning_rate": 6.046692190758628e-06, + "loss": 0.9545, + "step": 1411 + }, + { + "epoch": 0.81, + "learning_rate": 6.013295586563064e-06, + "loss": 0.9408, + "step": 1412 + }, + { + "epoch": 0.81, + "learning_rate": 5.9799811889359946e-06, + "loss": 0.9135, + "step": 1413 + }, + { + "epoch": 0.81, + "learning_rate": 5.946749112051615e-06, + "loss": 0.9356, + "step": 1414 + }, + { + "epoch": 0.81, + "learning_rate": 5.9135994698019734e-06, + "loss": 0.8994, + "step": 1415 + }, + { + "epoch": 0.81, + "learning_rate": 5.880532375796602e-06, + "loss": 0.859, + "step": 1416 + }, + { + "epoch": 0.81, + "learning_rate": 5.847547943362129e-06, + "loss": 0.9238, + "step": 1417 + }, + { + "epoch": 0.81, + "learning_rate": 5.814646285541889e-06, + "loss": 0.8692, + "step": 1418 + }, + { + "epoch": 0.81, + "learning_rate": 5.78182751509552e-06, + "loss": 0.8884, + "step": 1419 + }, + { + "epoch": 0.81, + "learning_rate": 5.749091744498625e-06, + "loss": 0.8646, + "step": 1420 + }, + { + "epoch": 0.81, + "learning_rate": 5.7164390859423125e-06, + "loss": 0.9275, + "step": 1421 + }, + { + "epoch": 0.81, + "learning_rate": 5.683869651332877e-06, + "loss": 0.7904, + "step": 1422 + }, + { + "epoch": 0.81, + "learning_rate": 5.651383552291378e-06, + "loss": 0.8595, + "step": 1423 + }, + { + "epoch": 0.81, + "learning_rate": 5.618980900153267e-06, + "loss": 0.9843, + "step": 1424 + }, + { + "epoch": 0.81, + "learning_rate": 5.586661805968029e-06, + "loss": 0.7902, + "step": 1425 + }, + { + "epoch": 0.81, + "learning_rate": 5.554426380498763e-06, + "loss": 0.8104, + "step": 1426 + }, + { + "epoch": 0.82, + "learning_rate": 5.522274734221824e-06, + "loss": 0.9032, + "step": 1427 + }, + { + "epoch": 0.82, + "learning_rate": 5.490206977326443e-06, + "loss": 1.0298, + "step": 1428 + }, + { + "epoch": 0.82, + "learning_rate": 5.458223219714338e-06, + "loss": 1.0443, + "step": 1429 + }, + { + "epoch": 0.82, + "learning_rate": 5.426323570999377e-06, + "loss": 0.9272, + "step": 1430 + }, + { + "epoch": 0.82, + "learning_rate": 5.394508140507137e-06, + "loss": 0.926, + "step": 1431 + }, + { + "epoch": 0.82, + "learning_rate": 5.36277703727459e-06, + "loss": 0.9032, + "step": 1432 + }, + { + "epoch": 0.82, + "learning_rate": 5.331130370049681e-06, + "loss": 1.0845, + "step": 1433 + }, + { + "epoch": 0.82, + "learning_rate": 5.2995682472909945e-06, + "loss": 0.9362, + "step": 1434 + }, + { + "epoch": 0.82, + "learning_rate": 5.268090777167369e-06, + "loss": 0.8547, + "step": 1435 + }, + { + "epoch": 0.82, + "learning_rate": 5.236698067557515e-06, + "loss": 0.9306, + "step": 1436 + }, + { + "epoch": 0.82, + "learning_rate": 5.2053902260496565e-06, + "loss": 0.8111, + "step": 1437 + }, + { + "epoch": 0.82, + "learning_rate": 5.174167359941149e-06, + "loss": 0.8812, + "step": 1438 + }, + { + "epoch": 0.82, + "learning_rate": 5.1430295762381554e-06, + "loss": 0.9364, + "step": 1439 + }, + { + "epoch": 0.82, + "learning_rate": 5.111976981655209e-06, + "loss": 0.8839, + "step": 1440 + }, + { + "epoch": 0.82, + "learning_rate": 5.0810096826149e-06, + "loss": 0.9499, + "step": 1441 + }, + { + "epoch": 0.82, + "learning_rate": 5.05012778524751e-06, + "loss": 1.0657, + "step": 1442 + }, + { + "epoch": 0.82, + "learning_rate": 5.019331395390616e-06, + "loss": 0.9362, + "step": 1443 + }, + { + "epoch": 0.83, + "learning_rate": 4.988620618588744e-06, + "loss": 0.8718, + "step": 1444 + }, + { + "epoch": 0.83, + "learning_rate": 4.9579955600930286e-06, + "loss": 1.041, + "step": 1445 + }, + { + "epoch": 0.83, + "learning_rate": 4.927456324860819e-06, + "loss": 0.81, + "step": 1446 + }, + { + "epoch": 0.83, + "learning_rate": 4.897003017555329e-06, + "loss": 0.8928, + "step": 1447 + }, + { + "epoch": 0.83, + "learning_rate": 4.866635742545295e-06, + "loss": 0.9693, + "step": 1448 + }, + { + "epoch": 0.83, + "learning_rate": 4.83635460390459e-06, + "loss": 0.8696, + "step": 1449 + }, + { + "epoch": 0.83, + "learning_rate": 4.806159705411912e-06, + "loss": 0.8817, + "step": 1450 + }, + { + "epoch": 0.83, + "learning_rate": 4.7760511505503655e-06, + "loss": 0.9685, + "step": 1451 + }, + { + "epoch": 0.83, + "learning_rate": 4.746029042507163e-06, + "loss": 0.8608, + "step": 1452 + }, + { + "epoch": 0.83, + "learning_rate": 4.716093484173236e-06, + "loss": 0.9744, + "step": 1453 + }, + { + "epoch": 0.83, + "learning_rate": 4.686244578142902e-06, + "loss": 0.9849, + "step": 1454 + }, + { + "epoch": 0.83, + "learning_rate": 4.656482426713495e-06, + "loss": 0.7988, + "step": 1455 + }, + { + "epoch": 0.83, + "learning_rate": 4.626807131885051e-06, + "loss": 0.9543, + "step": 1456 + }, + { + "epoch": 0.83, + "learning_rate": 4.597218795359913e-06, + "loss": 0.8658, + "step": 1457 + }, + { + "epoch": 0.83, + "learning_rate": 4.567717518542408e-06, + "loss": 0.7524, + "step": 1458 + }, + { + "epoch": 0.83, + "learning_rate": 4.53830340253849e-06, + "loss": 0.8602, + "step": 1459 + }, + { + "epoch": 0.83, + "learning_rate": 4.508976548155397e-06, + "loss": 0.8934, + "step": 1460 + }, + { + "epoch": 0.83, + "learning_rate": 4.4797370559013285e-06, + "loss": 0.9736, + "step": 1461 + }, + { + "epoch": 0.84, + "learning_rate": 4.450585025985049e-06, + "loss": 0.8984, + "step": 1462 + }, + { + "epoch": 0.84, + "learning_rate": 4.421520558315593e-06, + "loss": 0.8597, + "step": 1463 + }, + { + "epoch": 0.84, + "learning_rate": 4.392543752501894e-06, + "loss": 0.9021, + "step": 1464 + }, + { + "epoch": 0.84, + "learning_rate": 4.363654707852454e-06, + "loss": 0.8885, + "step": 1465 + }, + { + "epoch": 0.84, + "learning_rate": 4.3348535233750195e-06, + "loss": 1.0152, + "step": 1466 + }, + { + "epoch": 0.84, + "learning_rate": 4.3061402977762025e-06, + "loss": 0.9569, + "step": 1467 + }, + { + "epoch": 0.84, + "learning_rate": 4.277515129461176e-06, + "loss": 0.78, + "step": 1468 + }, + { + "epoch": 0.84, + "learning_rate": 4.248978116533323e-06, + "loss": 1.0388, + "step": 1469 + }, + { + "epoch": 0.84, + "learning_rate": 4.2205293567938976e-06, + "loss": 0.8989, + "step": 1470 + }, + { + "epoch": 0.84, + "learning_rate": 4.1921689477417116e-06, + "loss": 0.978, + "step": 1471 + }, + { + "epoch": 0.84, + "learning_rate": 4.163896986572766e-06, + "loss": 0.918, + "step": 1472 + }, + { + "epoch": 0.84, + "learning_rate": 4.135713570179945e-06, + "loss": 0.94, + "step": 1473 + }, + { + "epoch": 0.84, + "learning_rate": 4.1076187951526726e-06, + "loss": 0.9394, + "step": 1474 + }, + { + "epoch": 0.84, + "learning_rate": 4.079612757776573e-06, + "loss": 0.993, + "step": 1475 + }, + { + "epoch": 0.84, + "learning_rate": 4.051695554033177e-06, + "loss": 1.0475, + "step": 1476 + }, + { + "epoch": 0.84, + "learning_rate": 4.02386727959954e-06, + "loss": 0.9638, + "step": 1477 + }, + { + "epoch": 0.84, + "learning_rate": 3.996128029847957e-06, + "loss": 0.7293, + "step": 1478 + }, + { + "epoch": 0.85, + "learning_rate": 3.9684778998456165e-06, + "loss": 1.0039, + "step": 1479 + }, + { + "epoch": 0.85, + "learning_rate": 3.940916984354278e-06, + "loss": 0.8645, + "step": 1480 + }, + { + "epoch": 0.85, + "learning_rate": 3.913445377829942e-06, + "loss": 0.8632, + "step": 1481 + }, + { + "epoch": 0.85, + "learning_rate": 3.886063174422545e-06, + "loss": 0.77, + "step": 1482 + }, + { + "epoch": 0.85, + "learning_rate": 3.858770467975614e-06, + "loss": 1.1204, + "step": 1483 + }, + { + "epoch": 0.85, + "learning_rate": 3.8315673520259506e-06, + "loss": 0.8981, + "step": 1484 + }, + { + "epoch": 0.85, + "learning_rate": 3.804453919803319e-06, + "loss": 0.9398, + "step": 1485 + }, + { + "epoch": 0.85, + "learning_rate": 3.7774302642301284e-06, + "loss": 0.9535, + "step": 1486 + }, + { + "epoch": 0.85, + "learning_rate": 3.750496477921105e-06, + "loss": 0.9546, + "step": 1487 + }, + { + "epoch": 0.85, + "learning_rate": 3.723652653182964e-06, + "loss": 0.9234, + "step": 1488 + }, + { + "epoch": 0.85, + "learning_rate": 3.696898882014128e-06, + "loss": 0.9112, + "step": 1489 + }, + { + "epoch": 0.85, + "learning_rate": 3.6702352561043727e-06, + "loss": 1.0687, + "step": 1490 + }, + { + "epoch": 0.85, + "learning_rate": 3.6436618668345344e-06, + "loss": 0.9719, + "step": 1491 + }, + { + "epoch": 0.85, + "learning_rate": 3.61717880527621e-06, + "loss": 1.139, + "step": 1492 + }, + { + "epoch": 0.85, + "learning_rate": 3.590786162191404e-06, + "loss": 0.9294, + "step": 1493 + }, + { + "epoch": 0.85, + "learning_rate": 3.564484028032252e-06, + "loss": 1.0852, + "step": 1494 + }, + { + "epoch": 0.85, + "learning_rate": 3.538272492940702e-06, + "loss": 0.8911, + "step": 1495 + }, + { + "epoch": 0.85, + "learning_rate": 3.512151646748192e-06, + "loss": 1.139, + "step": 1496 + }, + { + "epoch": 0.86, + "learning_rate": 3.4861215789753763e-06, + "loss": 1.0235, + "step": 1497 + }, + { + "epoch": 0.86, + "learning_rate": 3.4601823788317755e-06, + "loss": 0.9474, + "step": 1498 + }, + { + "epoch": 0.86, + "learning_rate": 3.4343341352154946e-06, + "loss": 0.8744, + "step": 1499 + }, + { + "epoch": 0.86, + "learning_rate": 3.4085769367129185e-06, + "loss": 0.927, + "step": 1500 + }, + { + "epoch": 0.86, + "learning_rate": 3.3829108715984012e-06, + "loss": 0.8616, + "step": 1501 + }, + { + "epoch": 0.86, + "learning_rate": 3.357336027833975e-06, + "loss": 1.0599, + "step": 1502 + }, + { + "epoch": 0.86, + "learning_rate": 3.3318524930690363e-06, + "loss": 0.9735, + "step": 1503 + }, + { + "epoch": 0.86, + "learning_rate": 3.3064603546400473e-06, + "loss": 0.8522, + "step": 1504 + }, + { + "epoch": 0.86, + "learning_rate": 3.2811596995702396e-06, + "loss": 1.0396, + "step": 1505 + }, + { + "epoch": 0.86, + "learning_rate": 3.255950614569313e-06, + "loss": 0.8843, + "step": 1506 + }, + { + "epoch": 0.86, + "learning_rate": 3.230833186033154e-06, + "loss": 0.9871, + "step": 1507 + }, + { + "epoch": 0.86, + "learning_rate": 3.2058075000435116e-06, + "loss": 0.8869, + "step": 1508 + }, + { + "epoch": 0.86, + "learning_rate": 3.180873642367725e-06, + "loss": 1.0059, + "step": 1509 + }, + { + "epoch": 0.86, + "learning_rate": 3.1560316984584235e-06, + "loss": 1.0564, + "step": 1510 + }, + { + "epoch": 0.86, + "learning_rate": 3.1312817534532136e-06, + "loss": 0.9369, + "step": 1511 + }, + { + "epoch": 0.86, + "learning_rate": 3.1066238921744404e-06, + "loss": 0.8909, + "step": 1512 + }, + { + "epoch": 0.86, + "learning_rate": 3.0820581991288364e-06, + "loss": 0.9541, + "step": 1513 + }, + { + "epoch": 0.87, + "learning_rate": 3.0575847585072526e-06, + "loss": 0.8739, + "step": 1514 + }, + { + "epoch": 0.87, + "learning_rate": 3.033203654184402e-06, + "loss": 0.9771, + "step": 1515 + }, + { + "epoch": 0.87, + "learning_rate": 3.0089149697185225e-06, + "loss": 0.9751, + "step": 1516 + }, + { + "epoch": 0.87, + "learning_rate": 2.984718788351117e-06, + "loss": 0.8649, + "step": 1517 + }, + { + "epoch": 0.87, + "learning_rate": 2.960615193006677e-06, + "loss": 0.8929, + "step": 1518 + }, + { + "epoch": 0.87, + "learning_rate": 2.93660426629237e-06, + "loss": 1.0344, + "step": 1519 + }, + { + "epoch": 0.87, + "learning_rate": 2.9126860904977803e-06, + "loss": 0.976, + "step": 1520 + }, + { + "epoch": 0.87, + "learning_rate": 2.8888607475946082e-06, + "loss": 0.9904, + "step": 1521 + }, + { + "epoch": 0.87, + "learning_rate": 2.865128319236424e-06, + "loss": 0.9393, + "step": 1522 + }, + { + "epoch": 0.87, + "learning_rate": 2.84148888675834e-06, + "loss": 0.8336, + "step": 1523 + }, + { + "epoch": 0.87, + "learning_rate": 2.8179425311767626e-06, + "loss": 1.0244, + "step": 1524 + }, + { + "epoch": 0.87, + "learning_rate": 2.7944893331891143e-06, + "loss": 0.8859, + "step": 1525 + }, + { + "epoch": 0.87, + "learning_rate": 2.7711293731735386e-06, + "loss": 0.9016, + "step": 1526 + }, + { + "epoch": 0.87, + "learning_rate": 2.7478627311886427e-06, + "loss": 0.8795, + "step": 1527 + }, + { + "epoch": 0.87, + "learning_rate": 2.7246894869732287e-06, + "loss": 0.9877, + "step": 1528 + }, + { + "epoch": 0.87, + "learning_rate": 2.7016097199459845e-06, + "loss": 0.9788, + "step": 1529 + }, + { + "epoch": 0.87, + "learning_rate": 2.678623509205255e-06, + "loss": 1.0181, + "step": 1530 + }, + { + "epoch": 0.87, + "learning_rate": 2.6557309335287405e-06, + "loss": 0.9213, + "step": 1531 + }, + { + "epoch": 0.88, + "learning_rate": 2.6329320713732364e-06, + "loss": 0.8061, + "step": 1532 + }, + { + "epoch": 0.88, + "learning_rate": 2.6102270008743833e-06, + "loss": 1.0308, + "step": 1533 + }, + { + "epoch": 0.88, + "learning_rate": 2.5876157998463666e-06, + "loss": 0.8907, + "step": 1534 + }, + { + "epoch": 0.88, + "learning_rate": 2.5650985457816656e-06, + "loss": 1.0637, + "step": 1535 + }, + { + "epoch": 0.88, + "learning_rate": 2.5426753158507863e-06, + "loss": 1.0893, + "step": 1536 + }, + { + "epoch": 0.88, + "learning_rate": 2.520346186901997e-06, + "loss": 1.1327, + "step": 1537 + }, + { + "epoch": 0.88, + "learning_rate": 2.4981112354610837e-06, + "loss": 0.9232, + "step": 1538 + }, + { + "epoch": 0.88, + "learning_rate": 2.4759705377310494e-06, + "loss": 0.8933, + "step": 1539 + }, + { + "epoch": 0.88, + "learning_rate": 2.4539241695918734e-06, + "loss": 1.0166, + "step": 1540 + }, + { + "epoch": 0.88, + "learning_rate": 2.4319722066002668e-06, + "loss": 0.9613, + "step": 1541 + }, + { + "epoch": 0.88, + "learning_rate": 2.410114723989376e-06, + "loss": 1.0946, + "step": 1542 + }, + { + "epoch": 0.88, + "learning_rate": 2.388351796668573e-06, + "loss": 1.0227, + "step": 1543 + }, + { + "epoch": 0.88, + "learning_rate": 2.366683499223152e-06, + "loss": 0.8726, + "step": 1544 + }, + { + "epoch": 0.88, + "learning_rate": 2.345109905914108e-06, + "loss": 0.8709, + "step": 1545 + }, + { + "epoch": 0.88, + "learning_rate": 2.3236310906778534e-06, + "loss": 0.9258, + "step": 1546 + }, + { + "epoch": 0.88, + "learning_rate": 2.302247127125989e-06, + "loss": 1.2111, + "step": 1547 + }, + { + "epoch": 0.88, + "learning_rate": 2.2809580885450486e-06, + "loss": 0.8475, + "step": 1548 + }, + { + "epoch": 0.89, + "learning_rate": 2.259764047896232e-06, + "loss": 1.013, + "step": 1549 + }, + { + "epoch": 0.89, + "learning_rate": 2.2386650778151673e-06, + "loss": 0.9316, + "step": 1550 + }, + { + "epoch": 0.89, + "learning_rate": 2.217661250611659e-06, + "loss": 1.119, + "step": 1551 + }, + { + "epoch": 0.89, + "learning_rate": 2.1967526382694427e-06, + "loss": 1.0654, + "step": 1552 + }, + { + "epoch": 0.89, + "learning_rate": 2.175939312445938e-06, + "loss": 1.2025, + "step": 1553 + }, + { + "epoch": 0.89, + "learning_rate": 2.155221344471987e-06, + "loss": 1.0319, + "step": 1554 + }, + { + "epoch": 0.89, + "learning_rate": 2.1345988053516517e-06, + "loss": 0.9077, + "step": 1555 + }, + { + "epoch": 0.89, + "learning_rate": 2.114071765761917e-06, + "loss": 0.8898, + "step": 1556 + }, + { + "epoch": 0.89, + "learning_rate": 2.0936402960524815e-06, + "loss": 0.8909, + "step": 1557 + }, + { + "epoch": 0.89, + "learning_rate": 2.07330446624552e-06, + "loss": 1.0633, + "step": 1558 + }, + { + "epoch": 0.89, + "learning_rate": 2.0530643460354237e-06, + "loss": 0.87, + "step": 1559 + }, + { + "epoch": 0.89, + "learning_rate": 2.032920004788564e-06, + "loss": 0.8301, + "step": 1560 + }, + { + "epoch": 0.89, + "learning_rate": 2.0128715115430772e-06, + "loss": 1.1354, + "step": 1561 + }, + { + "epoch": 0.89, + "learning_rate": 1.9929189350085976e-06, + "loss": 1.2357, + "step": 1562 + }, + { + "epoch": 0.89, + "learning_rate": 1.9730623435660388e-06, + "loss": 0.8649, + "step": 1563 + }, + { + "epoch": 0.89, + "learning_rate": 1.9533018052673724e-06, + "loss": 1.038, + "step": 1564 + }, + { + "epoch": 0.89, + "learning_rate": 1.933637387835362e-06, + "loss": 0.9947, + "step": 1565 + }, + { + "epoch": 0.89, + "learning_rate": 1.914069158663352e-06, + "loss": 0.7785, + "step": 1566 + }, + { + "epoch": 0.9, + "learning_rate": 1.8945971848150367e-06, + "loss": 0.9306, + "step": 1567 + }, + { + "epoch": 0.9, + "learning_rate": 1.8752215330242217e-06, + "loss": 1.0915, + "step": 1568 + }, + { + "epoch": 0.9, + "learning_rate": 1.8559422696946128e-06, + "loss": 0.9897, + "step": 1569 + }, + { + "epoch": 0.9, + "learning_rate": 1.8367594608995596e-06, + "loss": 0.9247, + "step": 1570 + }, + { + "epoch": 0.9, + "learning_rate": 1.817673172381854e-06, + "loss": 1.0133, + "step": 1571 + }, + { + "epoch": 0.9, + "learning_rate": 1.7986834695534948e-06, + "loss": 0.9878, + "step": 1572 + }, + { + "epoch": 0.9, + "learning_rate": 1.7797904174954628e-06, + "loss": 0.9323, + "step": 1573 + }, + { + "epoch": 0.9, + "learning_rate": 1.7609940809575065e-06, + "loss": 0.718, + "step": 1574 + }, + { + "epoch": 0.9, + "learning_rate": 1.7422945243579102e-06, + "loss": 1.0493, + "step": 1575 + }, + { + "epoch": 0.9, + "learning_rate": 1.7236918117832767e-06, + "loss": 1.0461, + "step": 1576 + }, + { + "epoch": 0.9, + "learning_rate": 1.7051860069883007e-06, + "loss": 0.9287, + "step": 1577 + }, + { + "epoch": 0.9, + "learning_rate": 1.6867771733955629e-06, + "loss": 0.8704, + "step": 1578 + }, + { + "epoch": 0.9, + "learning_rate": 1.668465374095316e-06, + "loss": 0.9232, + "step": 1579 + }, + { + "epoch": 0.9, + "learning_rate": 1.650250671845246e-06, + "loss": 0.8731, + "step": 1580 + }, + { + "epoch": 0.9, + "learning_rate": 1.632133129070278e-06, + "loss": 1.0046, + "step": 1581 + }, + { + "epoch": 0.9, + "learning_rate": 1.6141128078623468e-06, + "loss": 0.9236, + "step": 1582 + }, + { + "epoch": 0.9, + "learning_rate": 1.5961897699802008e-06, + "loss": 0.9022, + "step": 1583 + }, + { + "epoch": 0.91, + "learning_rate": 1.5783640768491814e-06, + "loss": 0.7719, + "step": 1584 + }, + { + "epoch": 0.91, + "learning_rate": 1.56063578956101e-06, + "loss": 0.9711, + "step": 1585 + }, + { + "epoch": 0.91, + "learning_rate": 1.5430049688735793e-06, + "loss": 1.0245, + "step": 1586 + }, + { + "epoch": 0.91, + "learning_rate": 1.5254716752107478e-06, + "loss": 0.9485, + "step": 1587 + }, + { + "epoch": 0.91, + "learning_rate": 1.5080359686621293e-06, + "loss": 0.9127, + "step": 1588 + }, + { + "epoch": 0.91, + "learning_rate": 1.4906979089829076e-06, + "loss": 1.0554, + "step": 1589 + }, + { + "epoch": 0.91, + "learning_rate": 1.473457555593588e-06, + "loss": 1.0078, + "step": 1590 + }, + { + "epoch": 0.91, + "learning_rate": 1.4563149675798338e-06, + "loss": 0.8874, + "step": 1591 + }, + { + "epoch": 0.91, + "learning_rate": 1.4392702036922556e-06, + "loss": 0.8655, + "step": 1592 + }, + { + "epoch": 0.91, + "learning_rate": 1.4223233223461896e-06, + "loss": 1.0566, + "step": 1593 + }, + { + "epoch": 0.91, + "learning_rate": 1.4054743816215132e-06, + "loss": 1.1055, + "step": 1594 + }, + { + "epoch": 0.91, + "learning_rate": 1.3887234392624592e-06, + "loss": 1.0625, + "step": 1595 + }, + { + "epoch": 0.91, + "learning_rate": 1.3720705526773859e-06, + "loss": 0.8154, + "step": 1596 + }, + { + "epoch": 0.91, + "learning_rate": 1.3555157789386064e-06, + "loss": 0.9, + "step": 1597 + }, + { + "epoch": 0.91, + "learning_rate": 1.3390591747821834e-06, + "loss": 0.9585, + "step": 1598 + }, + { + "epoch": 0.91, + "learning_rate": 1.322700796607732e-06, + "loss": 0.9741, + "step": 1599 + }, + { + "epoch": 0.91, + "learning_rate": 1.3064407004782364e-06, + "loss": 0.9552, + "step": 1600 + }, + { + "epoch": 0.91, + "learning_rate": 1.2902789421198435e-06, + "loss": 1.0402, + "step": 1601 + }, + { + "epoch": 0.92, + "learning_rate": 1.2742155769216868e-06, + "loss": 0.8775, + "step": 1602 + }, + { + "epoch": 0.92, + "learning_rate": 1.2582506599356825e-06, + "loss": 0.9303, + "step": 1603 + }, + { + "epoch": 0.92, + "learning_rate": 1.2423842458763501e-06, + "loss": 0.8325, + "step": 1604 + }, + { + "epoch": 0.92, + "learning_rate": 1.2266163891206328e-06, + "loss": 0.8358, + "step": 1605 + }, + { + "epoch": 0.92, + "learning_rate": 1.2109471437076869e-06, + "loss": 0.9606, + "step": 1606 + }, + { + "epoch": 0.92, + "learning_rate": 1.195376563338716e-06, + "loss": 0.9149, + "step": 1607 + }, + { + "epoch": 0.92, + "learning_rate": 1.179904701376784e-06, + "loss": 1.0615, + "step": 1608 + }, + { + "epoch": 0.92, + "learning_rate": 1.1645316108466187e-06, + "loss": 1.1474, + "step": 1609 + }, + { + "epoch": 0.92, + "learning_rate": 1.1492573444344589e-06, + "loss": 0.9585, + "step": 1610 + }, + { + "epoch": 0.92, + "learning_rate": 1.1340819544878444e-06, + "loss": 0.8824, + "step": 1611 + }, + { + "epoch": 0.92, + "learning_rate": 1.1190054930154525e-06, + "loss": 0.9307, + "step": 1612 + }, + { + "epoch": 0.92, + "learning_rate": 1.1040280116869117e-06, + "loss": 0.9637, + "step": 1613 + }, + { + "epoch": 0.92, + "learning_rate": 1.0891495618326285e-06, + "loss": 0.9864, + "step": 1614 + }, + { + "epoch": 0.92, + "learning_rate": 1.0743701944436214e-06, + "loss": 0.9101, + "step": 1615 + }, + { + "epoch": 0.92, + "learning_rate": 1.0596899601713228e-06, + "loss": 1.0858, + "step": 1616 + }, + { + "epoch": 0.92, + "learning_rate": 1.045108909327428e-06, + "loss": 0.9822, + "step": 1617 + }, + { + "epoch": 0.92, + "learning_rate": 1.0306270918837068e-06, + "loss": 0.9361, + "step": 1618 + }, + { + "epoch": 0.93, + "learning_rate": 1.0162445574718415e-06, + "loss": 0.9047, + "step": 1619 + }, + { + "epoch": 0.93, + "learning_rate": 1.001961355383263e-06, + "loss": 0.8678, + "step": 1620 + }, + { + "epoch": 0.93, + "learning_rate": 9.877775345689577e-07, + "loss": 0.9598, + "step": 1621 + }, + { + "epoch": 0.93, + "learning_rate": 9.73693143639328e-07, + "loss": 0.928, + "step": 1622 + }, + { + "epoch": 0.93, + "learning_rate": 9.597082308640059e-07, + "loss": 0.9229, + "step": 1623 + }, + { + "epoch": 0.93, + "learning_rate": 9.458228441716921e-07, + "loss": 0.9906, + "step": 1624 + }, + { + "epoch": 0.93, + "learning_rate": 9.320370311500104e-07, + "loss": 1.0828, + "step": 1625 + }, + { + "epoch": 0.93, + "learning_rate": 9.183508390453077e-07, + "loss": 1.1255, + "step": 1626 + }, + { + "epoch": 0.93, + "learning_rate": 9.04764314762524e-07, + "loss": 1.1044, + "step": 1627 + }, + { + "epoch": 0.93, + "learning_rate": 8.912775048650223e-07, + "loss": 1.0317, + "step": 1628 + }, + { + "epoch": 0.93, + "learning_rate": 8.778904555744227e-07, + "loss": 0.9445, + "step": 1629 + }, + { + "epoch": 0.93, + "learning_rate": 8.64603212770445e-07, + "loss": 1.0273, + "step": 1630 + }, + { + "epoch": 0.93, + "learning_rate": 8.51415821990763e-07, + "loss": 0.8103, + "step": 1631 + }, + { + "epoch": 0.93, + "learning_rate": 8.383283284308374e-07, + "loss": 1.0841, + "step": 1632 + }, + { + "epoch": 0.93, + "learning_rate": 8.253407769437627e-07, + "loss": 1.0439, + "step": 1633 + }, + { + "epoch": 0.93, + "learning_rate": 8.124532120401173e-07, + "loss": 0.9466, + "step": 1634 + }, + { + "epoch": 0.93, + "learning_rate": 7.996656778877975e-07, + "loss": 1.0866, + "step": 1635 + }, + { + "epoch": 0.93, + "learning_rate": 7.869782183119001e-07, + "loss": 0.9427, + "step": 1636 + }, + { + "epoch": 0.94, + "learning_rate": 7.743908767945229e-07, + "loss": 1.0225, + "step": 1637 + }, + { + "epoch": 0.94, + "learning_rate": 7.619036964746617e-07, + "loss": 0.9669, + "step": 1638 + }, + { + "epoch": 0.94, + "learning_rate": 7.495167201480302e-07, + "loss": 0.853, + "step": 1639 + }, + { + "epoch": 0.94, + "learning_rate": 7.372299902669266e-07, + "loss": 0.89, + "step": 1640 + }, + { + "epoch": 0.94, + "learning_rate": 7.250435489401008e-07, + "loss": 1.0344, + "step": 1641 + }, + { + "epoch": 0.94, + "learning_rate": 7.129574379325809e-07, + "loss": 1.1284, + "step": 1642 + }, + { + "epoch": 0.94, + "learning_rate": 7.009716986655535e-07, + "loss": 0.9103, + "step": 1643 + }, + { + "epoch": 0.94, + "learning_rate": 6.890863722162099e-07, + "loss": 1.0662, + "step": 1644 + }, + { + "epoch": 0.94, + "learning_rate": 6.773014993176108e-07, + "loss": 1.0161, + "step": 1645 + }, + { + "epoch": 0.94, + "learning_rate": 6.656171203585482e-07, + "loss": 0.8792, + "step": 1646 + }, + { + "epoch": 0.94, + "learning_rate": 6.540332753834033e-07, + "loss": 1.0148, + "step": 1647 + }, + { + "epoch": 0.94, + "learning_rate": 6.425500040920062e-07, + "loss": 0.998, + "step": 1648 + }, + { + "epoch": 0.94, + "learning_rate": 6.311673458395062e-07, + "loss": 1.0602, + "step": 1649 + }, + { + "epoch": 0.94, + "learning_rate": 6.198853396362314e-07, + "loss": 0.8445, + "step": 1650 + }, + { + "epoch": 0.94, + "learning_rate": 6.087040241475694e-07, + "loss": 1.071, + "step": 1651 + }, + { + "epoch": 0.94, + "learning_rate": 5.976234376938039e-07, + "loss": 0.922, + "step": 1652 + }, + { + "epoch": 0.94, + "learning_rate": 5.866436182500212e-07, + "loss": 1.0867, + "step": 1653 + }, + { + "epoch": 0.95, + "learning_rate": 5.757646034459508e-07, + "loss": 1.0145, + "step": 1654 + }, + { + "epoch": 0.95, + "learning_rate": 5.649864305658515e-07, + "loss": 1.054, + "step": 1655 + }, + { + "epoch": 0.95, + "learning_rate": 5.543091365483788e-07, + "loss": 0.9525, + "step": 1656 + }, + { + "epoch": 0.95, + "learning_rate": 5.437327579864582e-07, + "loss": 1.1156, + "step": 1657 + }, + { + "epoch": 0.95, + "learning_rate": 5.332573311271616e-07, + "loss": 1.1367, + "step": 1658 + }, + { + "epoch": 0.95, + "learning_rate": 5.228828918715844e-07, + "loss": 1.0104, + "step": 1659 + }, + { + "epoch": 0.95, + "learning_rate": 5.126094757747091e-07, + "loss": 0.9167, + "step": 1660 + }, + { + "epoch": 0.95, + "learning_rate": 5.024371180453113e-07, + "loss": 1.078, + "step": 1661 + }, + { + "epoch": 0.95, + "learning_rate": 4.923658535458108e-07, + "loss": 0.9365, + "step": 1662 + }, + { + "epoch": 0.95, + "learning_rate": 4.823957167921644e-07, + "loss": 0.9865, + "step": 1663 + }, + { + "epoch": 0.95, + "learning_rate": 4.72526741953746e-07, + "loss": 0.9573, + "step": 1664 + }, + { + "epoch": 0.95, + "learning_rate": 4.6275896285324026e-07, + "loss": 1.0292, + "step": 1665 + }, + { + "epoch": 0.95, + "learning_rate": 4.530924129665026e-07, + "loss": 1.0602, + "step": 1666 + }, + { + "epoch": 0.95, + "learning_rate": 4.4352712542246933e-07, + "loss": 0.929, + "step": 1667 + }, + { + "epoch": 0.95, + "learning_rate": 4.3406313300302427e-07, + "loss": 0.7548, + "step": 1668 + }, + { + "epoch": 0.95, + "learning_rate": 4.247004681429056e-07, + "loss": 0.9104, + "step": 1669 + }, + { + "epoch": 0.95, + "learning_rate": 4.1543916292957286e-07, + "loss": 1.0244, + "step": 1670 + }, + { + "epoch": 0.95, + "learning_rate": 4.062792491031164e-07, + "loss": 0.8475, + "step": 1671 + }, + { + "epoch": 0.96, + "learning_rate": 3.972207580561382e-07, + "loss": 0.7713, + "step": 1672 + }, + { + "epoch": 0.96, + "learning_rate": 3.882637208336548e-07, + "loss": 1.0632, + "step": 1673 + }, + { + "epoch": 0.96, + "learning_rate": 3.794081681329675e-07, + "loss": 1.0121, + "step": 1674 + }, + { + "epoch": 0.96, + "learning_rate": 3.7065413030358264e-07, + "loss": 0.9502, + "step": 1675 + }, + { + "epoch": 0.96, + "learning_rate": 3.6200163734709467e-07, + "loss": 0.9141, + "step": 1676 + }, + { + "epoch": 0.96, + "learning_rate": 3.534507189170966e-07, + "loss": 0.9678, + "step": 1677 + }, + { + "epoch": 0.96, + "learning_rate": 3.450014043190497e-07, + "loss": 1.0407, + "step": 1678 + }, + { + "epoch": 0.96, + "learning_rate": 3.36653722510214e-07, + "loss": 0.9427, + "step": 1679 + }, + { + "epoch": 0.96, + "learning_rate": 3.284077020995313e-07, + "loss": 0.8786, + "step": 1680 + }, + { + "epoch": 0.96, + "learning_rate": 3.202633713475356e-07, + "loss": 1.0309, + "step": 1681 + }, + { + "epoch": 0.96, + "learning_rate": 3.1222075816625284e-07, + "loss": 0.9631, + "step": 1682 + }, + { + "epoch": 0.96, + "learning_rate": 3.0427989011910463e-07, + "loss": 1.0276, + "step": 1683 + }, + { + "epoch": 0.96, + "learning_rate": 2.964407944208114e-07, + "loss": 0.899, + "step": 1684 + }, + { + "epoch": 0.96, + "learning_rate": 2.8870349793730264e-07, + "loss": 1.0218, + "step": 1685 + }, + { + "epoch": 0.96, + "learning_rate": 2.810680271856303e-07, + "loss": 0.9599, + "step": 1686 + }, + { + "epoch": 0.96, + "learning_rate": 2.7353440833386533e-07, + "loss": 0.9091, + "step": 1687 + }, + { + "epoch": 0.96, + "learning_rate": 2.6610266720102137e-07, + "loss": 0.9818, + "step": 1688 + }, + { + "epoch": 0.97, + "learning_rate": 2.5877282925695467e-07, + "loss": 1.0235, + "step": 1689 + }, + { + "epoch": 0.97, + "learning_rate": 2.515449196222808e-07, + "loss": 1.0361, + "step": 1690 + }, + { + "epoch": 0.97, + "learning_rate": 2.44418963068288e-07, + "loss": 0.7805, + "step": 1691 + }, + { + "epoch": 0.97, + "learning_rate": 2.3739498401686433e-07, + "loss": 1.0539, + "step": 1692 + }, + { + "epoch": 0.97, + "learning_rate": 2.304730065403904e-07, + "loss": 0.9059, + "step": 1693 + }, + { + "epoch": 0.97, + "learning_rate": 2.2365305436167993e-07, + "loss": 0.9032, + "step": 1694 + }, + { + "epoch": 0.97, + "learning_rate": 2.1693515085387972e-07, + "loss": 1.0041, + "step": 1695 + }, + { + "epoch": 0.97, + "learning_rate": 2.103193190404029e-07, + "loss": 0.9427, + "step": 1696 + }, + { + "epoch": 0.97, + "learning_rate": 2.038055815948492e-07, + "loss": 0.9322, + "step": 1697 + }, + { + "epoch": 0.97, + "learning_rate": 1.973939608409181e-07, + "loss": 1.0027, + "step": 1698 + }, + { + "epoch": 0.97, + "learning_rate": 1.9108447875233247e-07, + "loss": 1.2078, + "step": 1699 + }, + { + "epoch": 0.97, + "learning_rate": 1.8487715695278184e-07, + "loss": 0.9801, + "step": 1700 + }, + { + "epoch": 0.97, + "learning_rate": 1.7877201671582245e-07, + "loss": 1.0256, + "step": 1701 + }, + { + "epoch": 0.97, + "learning_rate": 1.7276907896482396e-07, + "loss": 0.9697, + "step": 1702 + }, + { + "epoch": 0.97, + "learning_rate": 1.6686836427288964e-07, + "loss": 1.115, + "step": 1703 + }, + { + "epoch": 0.97, + "learning_rate": 1.6106989286278295e-07, + "loss": 0.9578, + "step": 1704 + }, + { + "epoch": 0.97, + "learning_rate": 1.553736846068643e-07, + "loss": 1.0405, + "step": 1705 + }, + { + "epoch": 0.97, + "learning_rate": 1.4977975902702113e-07, + "loss": 1.0413, + "step": 1706 + }, + { + "epoch": 0.98, + "learning_rate": 1.4428813529460128e-07, + "loss": 1.0632, + "step": 1707 + }, + { + "epoch": 0.98, + "learning_rate": 1.3889883223034304e-07, + "loss": 0.9063, + "step": 1708 + }, + { + "epoch": 0.98, + "learning_rate": 1.336118683043186e-07, + "loss": 0.9717, + "step": 1709 + }, + { + "epoch": 0.98, + "learning_rate": 1.2842726163586394e-07, + "loss": 0.9711, + "step": 1710 + }, + { + "epoch": 0.98, + "learning_rate": 1.2334502999352237e-07, + "loss": 1.0093, + "step": 1711 + }, + { + "epoch": 0.98, + "learning_rate": 1.1836519079496789e-07, + "loss": 1.1673, + "step": 1712 + }, + { + "epoch": 0.98, + "learning_rate": 1.1348776110697844e-07, + "loss": 0.995, + "step": 1713 + }, + { + "epoch": 0.98, + "learning_rate": 1.0871275764533617e-07, + "loss": 1.0537, + "step": 1714 + }, + { + "epoch": 0.98, + "learning_rate": 1.0404019677480725e-07, + "loss": 1.0663, + "step": 1715 + }, + { + "epoch": 0.98, + "learning_rate": 9.947009450906208e-08, + "loss": 1.0059, + "step": 1716 + }, + { + "epoch": 0.98, + "learning_rate": 9.500246651062528e-08, + "loss": 1.1313, + "step": 1717 + }, + { + "epoch": 0.98, + "learning_rate": 9.063732809083236e-08, + "loss": 0.9679, + "step": 1718 + }, + { + "epoch": 0.98, + "learning_rate": 8.637469420975985e-08, + "loss": 1.0586, + "step": 1719 + }, + { + "epoch": 0.98, + "learning_rate": 8.221457947619194e-08, + "loss": 1.0503, + "step": 1720 + }, + { + "epoch": 0.98, + "learning_rate": 7.815699814755384e-08, + "loss": 0.9837, + "step": 1721 + }, + { + "epoch": 0.98, + "learning_rate": 7.42019641298819e-08, + "loss": 1.0781, + "step": 1722 + }, + { + "epoch": 0.98, + "learning_rate": 7.034949097775356e-08, + "loss": 1.0086, + "step": 1723 + }, + { + "epoch": 0.99, + "learning_rate": 6.659959189426413e-08, + "loss": 1.0376, + "step": 1724 + }, + { + "epoch": 0.99, + "learning_rate": 6.295227973096008e-08, + "loss": 1.0737, + "step": 1725 + }, + { + "epoch": 0.99, + "learning_rate": 5.9407566987805805e-08, + "loss": 0.9096, + "step": 1726 + }, + { + "epoch": 0.99, + "learning_rate": 5.596546581314699e-08, + "loss": 0.8752, + "step": 1727 + }, + { + "epoch": 0.99, + "learning_rate": 5.262598800365726e-08, + "loss": 1.2397, + "step": 1728 + }, + { + "epoch": 0.99, + "learning_rate": 4.938914500430158e-08, + "loss": 0.9294, + "step": 1729 + }, + { + "epoch": 0.99, + "learning_rate": 4.625494790829632e-08, + "loss": 1.0646, + "step": 1730 + }, + { + "epoch": 0.99, + "learning_rate": 4.322340745707587e-08, + "loss": 0.9244, + "step": 1731 + }, + { + "epoch": 0.99, + "learning_rate": 4.029453404025274e-08, + "loss": 0.9754, + "step": 1732 + }, + { + "epoch": 0.99, + "learning_rate": 3.746833769558422e-08, + "loss": 0.8449, + "step": 1733 + }, + { + "epoch": 0.99, + "learning_rate": 3.4744828108925766e-08, + "loss": 0.95, + "step": 1734 + }, + { + "epoch": 0.99, + "learning_rate": 3.212401461421432e-08, + "loss": 1.0688, + "step": 1735 + }, + { + "epoch": 0.99, + "learning_rate": 2.960590619343506e-08, + "loss": 0.9349, + "step": 1736 + }, + { + "epoch": 0.99, + "learning_rate": 2.7190511476574698e-08, + "loss": 0.8527, + "step": 1737 + }, + { + "epoch": 0.99, + "learning_rate": 2.4877838741608207e-08, + "loss": 0.8717, + "step": 1738 + }, + { + "epoch": 0.99, + "learning_rate": 2.2667895914462168e-08, + "loss": 1.1024, + "step": 1739 + }, + { + "epoch": 0.99, + "learning_rate": 2.056069056899146e-08, + "loss": 1.0975, + "step": 1740 + }, + { + "epoch": 0.99, + "learning_rate": 1.8556229926955937e-08, + "loss": 1.1622, + "step": 1741 + }, + { + "epoch": 1.0, + "learning_rate": 1.66545208579838e-08, + "loss": 1.0796, + "step": 1742 + }, + { + "epoch": 1.0, + "learning_rate": 1.4855569879558274e-08, + "loss": 1.0416, + "step": 1743 + }, + { + "epoch": 1.0, + "learning_rate": 1.3159383156997607e-08, + "loss": 0.985, + "step": 1744 + }, + { + "epoch": 1.0, + "learning_rate": 1.1565966503425118e-08, + "loss": 0.9701, + "step": 1745 + }, + { + "epoch": 1.0, + "learning_rate": 1.0075325379755862e-08, + "loss": 1.0477, + "step": 1746 + }, + { + "epoch": 1.0, + "learning_rate": 8.687464894669984e-09, + "loss": 1.2079, + "step": 1747 + }, + { + "epoch": 1.0, + "learning_rate": 7.402389804606058e-09, + "loss": 1.0762, + "step": 1748 + }, + { + "epoch": 1.0, + "learning_rate": 6.220104513737779e-09, + "loss": 1.0534, + "step": 1749 + }, + { + "epoch": 1.0, + "learning_rate": 5.140613073960632e-09, + "loss": 0.8973, + "step": 1750 + }, + { + "epoch": 1.0, + "step": 1750, + "total_flos": 2.2456725560465818e+17, + "train_loss": 0.7509448079211372, + "train_runtime": 20535.3694, + "train_samples_per_second": 1.364, + "train_steps_per_second": 0.085 + } + ], + "logging_steps": 1.0, + "max_steps": 1750, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 50000, + "total_flos": 2.2456725560465818e+17, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}