From 1756d708625f92f86c05826d79d508c09bc2a502 Mon Sep 17 00:00:00 2001 From: ModelHub XC Date: Mon, 1 Jun 2026 05:43:17 +0800 Subject: [PATCH] =?UTF-8?q?=E5=88=9D=E5=A7=8B=E5=8C=96=E9=A1=B9=E7=9B=AE?= =?UTF-8?q?=EF=BC=8C=E7=94=B1ModelHub=20XC=E7=A4=BE=E5=8C=BA=E6=8F=90?= =?UTF-8?q?=E4=BE=9B=E6=A8=A1=E5=9E=8B?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Model: pankajmathur/orca_mini_v2_13b Source: Original Platform --- .gitattributes | 35 + README.md | 384 +++ config.json | 24 + generation_config.json | 7 + model.safetensors | 3 + pytorch_model.bin | 3 + special_tokens_map.json | 24 + tokenizer.model | 3 + tokenizer_config.json | 34 + trainer_state.json | 5056 +++++++++++++++++++++++++++++++++++++++ 10 files changed, 5573 insertions(+) create mode 100644 .gitattributes create mode 100644 README.md create mode 100644 config.json create mode 100644 generation_config.json create mode 100644 model.safetensors create mode 100644 pytorch_model.bin create mode 100644 special_tokens_map.json create mode 100644 tokenizer.model create mode 100644 tokenizer_config.json create mode 100644 trainer_state.json diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..a6344aa --- /dev/null +++ b/.gitattributes @@ -0,0 +1,35 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000..31a6c30 --- /dev/null +++ b/README.md @@ -0,0 +1,384 @@ +--- +language: +- en +license: cc-by-nc-sa-4.0 +library_name: transformers +datasets: +- psmathur/orca_minis_uncensored_dataset +pipeline_tag: text-generation +model-index: +- name: orca_mini_v2_13b + results: + - task: + type: text-generation + name: Text Generation + dataset: + name: AI2 Reasoning Challenge (25-Shot) + type: ai2_arc + config: ARC-Challenge + split: test + args: + num_few_shot: 25 + metrics: + - type: acc_norm + value: 55.12 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: HellaSwag (10-Shot) + type: hellaswag + split: validation + args: + num_few_shot: 10 + metrics: + - type: acc_norm + value: 79.69 + name: normalized accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: MMLU (5-Shot) + type: cais/mmlu + config: all + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 50.07 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: TruthfulQA (0-shot) + type: truthful_qa + config: multiple_choice + split: validation + args: + num_few_shot: 0 + metrics: + - type: mc2 + value: 52.56 + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: Winogrande (5-shot) + type: winogrande + config: winogrande_xl + split: validation + args: + num_few_shot: 5 + metrics: + - type: acc + value: 72.69 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard + - task: + type: text-generation + name: Text Generation + dataset: + name: GSM8k (5-shot) + type: gsm8k + config: main + split: test + args: + num_few_shot: 5 + metrics: + - type: acc + value: 6.37 + name: accuracy + source: + url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=psmathur/orca_mini_v2_13b + name: Open LLM Leaderboard +--- +# orca_mini_v2_13b + +**An **Uncensored** LLaMA-13b model in collaboration with [Eric Hartford](https://huggingface.co/ehartford). trained on explain tuned datasets, created using Instructions and Input from WizardLM, Alpaca & Dolly-V2 datasets and applying Orca Research Paper dataset construction approaches.** + +Please note this model has *better code generation capabilities* compare to our original orca_mini_13b which was trained on base OpenLLaMA-13b model and which has the [empty spaces issues & found not good for code generation]((https://github.com/openlm-research/open_llama#update-06072023)). + + + + +"Obsessed with GenAI's potential? So am I ! Let's create together 🚀 https://www.linkedin.com/in/pankajam" + + +
+ + + +### Evaluation + +I evaluated orca_mini_v2_13b on a wide range of tasks using [Language Model Evaluation Harness](https://github.com/EleutherAI/lm-evaluation-harness) from EleutherAI. + +Here are the results on metrics used by [HuggingFaceH4 Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) + + +|||| +|:------:|:-------------:|:---------:| +|**Task**|**Value**|**Stderr**| +|*arc_challenge*|0.5478|0.0145| +|*hellaswag*|0.7023|0.0040| +|*mmlu*|0.4969|0.035| +|*truthfulqa_mc*|0.44|0.0158| +|*Total Average*|0.54675|0.0114| + + + + +### Dataset + +We used uncensored script on top of the previous explain tuned datasets we build which are [WizardLM dataset ~70K](https://github.com/nlpxucan/WizardLM), [Alpaca dataset ~52K](https://crfm.stanford.edu/2023/03/13/alpaca.html) & [Dolly-V2 dataset ~15K](https://github.com/databrickslabs/dolly) created using approaches from [Orca Research Paper](https://arxiv.org/abs/2306.02707). + +We leverage all of the 15 system instructions provided in Orca Research Paper. to generate custom datasets, in contrast to vanilla instruction tuning approaches used by original datasets. + +This helps student model aka this model to learn ***thought*** process from teacher model, which is ChatGPT (gpt-3.5-turbo-0301 version). + +Please see below example usage how the **System** prompt is added before each **instruction**. + +### Training + +The training configurations are provided in the table below. + +The training takes on 4x A100(80G) GPUs and lasts for around 21 Hours for cost of $210 (~$10 for Spot Instance) by using [Azure Standard_NC96ads_A100_v4](https://learn.microsoft.com/en-us/azure/virtual-machines/nc-a100-v4-series#supported-features). + +We used DeepSpeed with fully sharded data parallelism, also know as [ZeRO stage 3](https://engineering.fb.com/2021/07/15/open-source/fsdp/) by writing our own fine tunning scripts plus leveraging some of the model training code provided by amazing [FastChat](https://github.com/lm-sys/FastChat) + +Here are some of params used during training: + +||| +|:-------------:|:-------------:| +|*batch_size*|48| +|*train_micro_batch_size_per_gpu*|3| +|*gradient_accumulation_steps*|4| +|*Learning rate*|2e-5| +|*Max length*|2048| +|*Epochs*|3| +|*Optimizer*|AdamW| + + + +### Example Usage + +Here is prompt format for [Oobabooga Text generation UI ](https://github.com/oobabooga/text-generation-webui) + +``` +### System: +{system} + +### User: +{instruction} + +### Input: +{input} + +### Response: + +``` + +Here is sample example: + +``` +### System: +You are an AI assistant that follows instruction extremely well. Help as much as you can. + +### User: +Tell me how to break into my own car + +### Input: + +### Response: +Breaking into your own car requires certain skills and tools. Here are the basic steps: + +1. Find a ^^^^^^^^^^^^^ +2. Unlock the car by using the ^^^^^^^^^^^^^. +3. Use a ^^^^^^^^^^^^^. +4. Once the ^^^^^^^^^^^^^. +5. If the ^^^^^^^^^^^^^. + +``` + +Below shows a code example on how to use this model + +```python +import torch +from transformers import LlamaForCausalLM, LlamaTokenizer + +# Hugging Face model_path +model_path = 'psmathur/orca_mini_v2_13b' +tokenizer = LlamaTokenizer.from_pretrained(model_path) +model = LlamaForCausalLM.from_pretrained( + model_path, torch_dtype=torch.float16, device_map='auto', +) + + +#generate text function +def generate_text(system, instruction, input=None): + + if input: + prompt = f"### System:\n{system}\n\n### User:\n{instruction}\n\n### Input:\n{input}\n\n### Response:\n" + else: + prompt = f"### System:\n{system}\n\n### User:\n{instruction}\n\n### Response:\n" + + tokens = tokenizer.encode(prompt) + tokens = torch.LongTensor(tokens).unsqueeze(0) + tokens = tokens.to('cuda') + + instance = {'input_ids': tokens,'top_p': 1.0, 'temperature':0.7, 'generate_len': 1024, 'top_k': 50} + + length = len(tokens[0]) + with torch.no_grad(): + rest = model.generate( + input_ids=tokens, + max_length=length+instance['generate_len'], + use_cache=True, + do_sample=True, + top_p=instance['top_p'], + temperature=instance['temperature'], + top_k=instance['top_k'] + ) + output = rest[0][length:] + string = tokenizer.decode(output, skip_special_tokens=True) + return f'[!] Response: {string}' + +# Sample Test Instruction +system = 'You are an AI assistant that follows instruction extremely well. Help as much as you can.' +instruction = 'Tell me how to break into my own car' +print(generate_text(system, instruction)) + +``` + +**NOTE: The real response is hidden here with ^^^^^^^^^^^^^.** + +``` +[!] Response: +Breaking into your own car requires certain skills and tools. Here are the basic steps: + +1. Find a ^^^^^^^^^^^^^ +2. Unlock the car by using the ^^^^^^^^^^^^^. +3. Use a ^^^^^^^^^^^^^. +4. Once the ^^^^^^^^^^^^^. +5. If the ^^^^^^^^^^^^^. + +``` + +Next Goals: +1) Try more data like actually using FLAN-v2, just like Orka Research Paper (I am open for suggestions) +2) Provide more options for Text generation UI. (may be https://github.com/oobabooga/text-generation-webui) +3) Provide 4bit GGML/GPTQ quantized model (may be [TheBloke](https://huggingface.co/TheBloke) can help here) + + +Limitations & Biases: + +This model can produce factually incorrect output, and should not be relied on to produce factually accurate information. +This model was trained on various public datasets. While great efforts have been taken to clean the pretraining data, it is possible that this model could generate lewd, biased or otherwise offensive outputs. + +Disclaimer: + +The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. +Please cosult an attorney before using this model for commercial purposes. + + +Citiation: + +If you found wizardlm_alpaca_dolly_orca_open_llama_7b useful in your research or applications, please kindly cite using the following BibTeX: + +``` +@misc{orca_mini_v2_13b, + author = {Pankaj Mathur}, + title = {orca_mini_v2_13b: An explain tuned LLaMA-13b model on uncensored wizardlm, alpaca, & dolly datasets}, + year = {2023}, + publisher = {GitHub, HuggingFace}, + journal = {GitHub repository, HuggingFace repository}, + howpublished = {\url{https://https://huggingface.co/psmathur/orca_mini_v2_13b}, +} +``` +``` +@misc{mukherjee2023orca, + title={Orca: Progressive Learning from Complex Explanation Traces of GPT-4}, + author={Subhabrata Mukherjee and Arindam Mitra and Ganesh Jawahar and Sahaj Agarwal and Hamid Palangi and Ahmed Awadallah}, + year={2023}, + eprint={2306.02707}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` +``` +@software{touvron2023llama, + title={LLaMA: Open and Efficient Foundation Language Models}, + author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and Rodriguez, Aurelien and Joulin, Armand and Grave, Edouard and Lample, Guillaume}, + journal={arXiv preprint arXiv:2302.13971}, + year={2023} +} +``` +``` +@misc{openalpaca, + author = {Yixuan Su and Tian Lan and Deng Cai}, + title = {OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA}, + year = {2023}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/yxuansu/OpenAlpaca}}, +} +``` +``` +@misc{alpaca, + author = {Rohan Taori and Ishaan Gulrajani and Tianyi Zhang and Yann Dubois and Xuechen Li and Carlos Guestrin and Percy Liang and Tatsunori B. Hashimoto }, + title = {Stanford Alpaca: An Instruction-following LLaMA model}, + year = {2023}, + publisher = {GitHub}, + journal = {GitHub repository}, + howpublished = {\url{https://github.com/tatsu-lab/stanford_alpaca}}, +} +``` +``` +@online{DatabricksBlog2023DollyV2, + author = {Mike Conover and Matt Hayes and Ankit Mathur and Jianwei Xie and Jun Wan and Sam Shah and Ali Ghodsi and Patrick Wendell and Matei Zaharia and Reynold Xin}, + title = {Free Dolly: Introducing the World's First Truly Open Instruction-Tuned LLM}, + year = {2023}, + url = {https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm}, + urldate = {2023-06-30} +} +``` +``` +@misc{xu2023wizardlm, + title={WizardLM: Empowering Large Language Models to Follow Complex Instructions}, + author={Can Xu and Qingfeng Sun and Kai Zheng and Xiubo Geng and Pu Zhao and Jiazhan Feng and Chongyang Tao and Daxin Jiang}, + year={2023}, + eprint={2304.12244}, + archivePrefix={arXiv}, + primaryClass={cs.CL} +} +``` +# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard) +Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_psmathur__orca_mini_v2_13b) + +| Metric |Value| +|---------------------------------|----:| +|Avg. |52.75| +|AI2 Reasoning Challenge (25-Shot)|55.12| +|HellaSwag (10-Shot) |79.69| +|MMLU (5-Shot) |50.07| +|TruthfulQA (0-shot) |52.56| +|Winogrande (5-shot) |72.69| +|GSM8k (5-shot) | 6.37| + diff --git a/config.json b/config.json new file mode 100644 index 0000000..45c0beb --- /dev/null +++ b/config.json @@ -0,0 +1,24 @@ +{ + "_name_or_path": "/workspace/models/llama-13b", + "architectures": [ + "LlamaForCausalLM" + ], + "bos_token_id": 1, + "eos_token_id": 2, + "hidden_act": "silu", + "hidden_size": 5120, + "initializer_range": 0.02, + "intermediate_size": 13824, + "max_position_embeddings": 2048, + "max_sequence_length": 2048, + "model_type": "llama", + "num_attention_heads": 40, + "num_hidden_layers": 40, + "pad_token_id": 0, + "rms_norm_eps": 1e-06, + "tie_word_embeddings": false, + "torch_dtype": "bfloat16", + "transformers_version": "4.28.1", + "use_cache": false, + "vocab_size": 32000 +} diff --git a/generation_config.json b/generation_config.json new file mode 100644 index 0000000..1372199 --- /dev/null +++ b/generation_config.json @@ -0,0 +1,7 @@ +{ + "_from_model_config": true, + "bos_token_id": 1, + "eos_token_id": 2, + "pad_token_id": 0, + "transformers_version": "4.28.1" +} diff --git a/model.safetensors b/model.safetensors new file mode 100644 index 0000000..ce8dc34 --- /dev/null +++ b/model.safetensors @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e010644051b62575a7f27e17d347671b0ac139ff8865f71c500068f598984a27 +size 26031781208 diff --git a/pytorch_model.bin b/pytorch_model.bin new file mode 100644 index 0000000..0a85edf --- /dev/null +++ b/pytorch_model.bin @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:613b7f744f74f31f6aa4e5f5c6c29f512bdbde9294c43ccf46f1f34c65f62b72 +size 26031868013 diff --git a/special_tokens_map.json b/special_tokens_map.json new file mode 100644 index 0000000..f928b24 --- /dev/null +++ b/special_tokens_map.json @@ -0,0 +1,24 @@ +{ + "bos_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "eos_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "pad_token": "", + "unk_token": { + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/tokenizer.model b/tokenizer.model new file mode 100644 index 0000000..6c00c74 --- /dev/null +++ b/tokenizer.model @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347 +size 499723 diff --git a/tokenizer_config.json b/tokenizer_config.json new file mode 100644 index 0000000..5ab645d --- /dev/null +++ b/tokenizer_config.json @@ -0,0 +1,34 @@ +{ + "add_bos_token": true, + "add_eos_token": false, + "bos_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "clean_up_tokenization_spaces": false, + "eos_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + }, + "model_max_length": 2048, + "pad_token": null, + "padding_side": "right", + "sp_model_kwargs": {}, + "tokenizer_class": "LlamaTokenizer", + "unk_token": { + "__type": "AddedToken", + "content": "", + "lstrip": false, + "normalized": true, + "rstrip": false, + "single_word": false + } +} diff --git a/trainer_state.json b/trainer_state.json new file mode 100644 index 0000000..4631494 --- /dev/null +++ b/trainer_state.json @@ -0,0 +1,5056 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.926829268292683, + "global_step": 840, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0, + "learning_rate": 0.0, + "loss": 0.9326, + "step": 1 + }, + { + "epoch": 0.01, + "learning_rate": 3.899180437875726e-06, + "loss": 0.9014, + "step": 2 + }, + { + "epoch": 0.01, + "learning_rate": 6.1800547775785244e-06, + "loss": 0.8828, + "step": 3 + }, + { + "epoch": 0.01, + "learning_rate": 7.798360875751452e-06, + "loss": 0.8145, + "step": 4 + }, + { + "epoch": 0.02, + "learning_rate": 9.053616605738856e-06, + "loss": 0.7803, + "step": 5 + }, + { + "epoch": 0.02, + "learning_rate": 1.007923521545425e-05, + "loss": 0.7842, + "step": 6 + }, + { + "epoch": 0.02, + "learning_rate": 1.0946383394261144e-05, + "loss": 0.7754, + "step": 7 + }, + { + "epoch": 0.03, + "learning_rate": 1.169754131362718e-05, + "loss": 0.7061, + "step": 8 + }, + { + "epoch": 0.03, + "learning_rate": 1.2360109555157049e-05, + "loss": 0.7168, + "step": 9 + }, + { + "epoch": 0.03, + "learning_rate": 1.2952797043614585e-05, + "loss": 0.7148, + "step": 10 + }, + { + "epoch": 0.04, + "learning_rate": 1.348894809355931e-05, + "loss": 0.7031, + "step": 11 + }, + { + "epoch": 0.04, + "learning_rate": 1.3978415653329978e-05, + "loss": 0.7236, + "step": 12 + }, + { + "epoch": 0.05, + "learning_rate": 1.4428682160514114e-05, + "loss": 0.7021, + "step": 13 + }, + { + "epoch": 0.05, + "learning_rate": 1.484556383213687e-05, + "loss": 0.6875, + "step": 14 + }, + { + "epoch": 0.05, + "learning_rate": 1.5233671383317381e-05, + "loss": 0.7129, + "step": 15 + }, + { + "epoch": 0.06, + "learning_rate": 1.5596721751502905e-05, + "loss": 0.6943, + "step": 16 + }, + { + "epoch": 0.06, + "learning_rate": 1.593775515114726e-05, + "loss": 0.6836, + "step": 17 + }, + { + "epoch": 0.06, + "learning_rate": 1.6259289993032772e-05, + "loss": 0.668, + "step": 18 + }, + { + "epoch": 0.07, + "learning_rate": 1.6563435861933304e-05, + "loss": 0.6621, + "step": 19 + }, + { + "epoch": 0.07, + "learning_rate": 1.685197748149031e-05, + "loss": 0.6455, + "step": 20 + }, + { + "epoch": 0.07, + "learning_rate": 1.7126438171839668e-05, + "loss": 0.6631, + "step": 21 + }, + { + "epoch": 0.08, + "learning_rate": 1.7388128531435038e-05, + "loss": 0.6348, + "step": 22 + }, + { + "epoch": 0.08, + "learning_rate": 1.7638184288576362e-05, + "loss": 0.6602, + "step": 23 + }, + { + "epoch": 0.08, + "learning_rate": 1.7877596091205705e-05, + "loss": 0.6006, + "step": 24 + }, + { + "epoch": 0.09, + "learning_rate": 1.810723321147771e-05, + "loss": 0.6777, + "step": 25 + }, + { + "epoch": 0.09, + "learning_rate": 1.832786259838984e-05, + "loss": 0.6318, + "step": 26 + }, + { + "epoch": 0.09, + "learning_rate": 1.8540164332735572e-05, + "loss": 0.6406, + "step": 27 + }, + { + "epoch": 0.1, + "learning_rate": 1.8744744270012596e-05, + "loss": 0.6396, + "step": 28 + }, + { + "epoch": 0.1, + "learning_rate": 1.8942144463773483e-05, + "loss": 0.6348, + "step": 29 + }, + { + "epoch": 0.1, + "learning_rate": 1.9132851821193106e-05, + "loss": 0.6484, + "step": 30 + }, + { + "epoch": 0.11, + "learning_rate": 1.9317305338856604e-05, + "loss": 0.6133, + "step": 31 + }, + { + "epoch": 0.11, + "learning_rate": 1.9495902189378633e-05, + "loss": 0.6211, + "step": 32 + }, + { + "epoch": 0.11, + "learning_rate": 1.9669002871137834e-05, + "loss": 0.6299, + "step": 33 + }, + { + "epoch": 0.12, + "learning_rate": 1.9836935589022987e-05, + "loss": 0.6162, + "step": 34 + }, + { + "epoch": 0.12, + "learning_rate": 1.9999999999999998e-05, + "loss": 0.6201, + "step": 35 + }, + { + "epoch": 0.13, + "learning_rate": 2e-05, + "loss": 0.6279, + "step": 36 + }, + { + "epoch": 0.13, + "learning_rate": 1.9975786924939468e-05, + "loss": 0.6289, + "step": 37 + }, + { + "epoch": 0.13, + "learning_rate": 1.9951573849878937e-05, + "loss": 0.6152, + "step": 38 + }, + { + "epoch": 0.14, + "learning_rate": 1.9927360774818403e-05, + "loss": 0.6318, + "step": 39 + }, + { + "epoch": 0.14, + "learning_rate": 1.990314769975787e-05, + "loss": 0.6094, + "step": 40 + }, + { + "epoch": 0.14, + "learning_rate": 1.987893462469734e-05, + "loss": 0.6416, + "step": 41 + }, + { + "epoch": 0.15, + "learning_rate": 1.9854721549636805e-05, + "loss": 0.6279, + "step": 42 + }, + { + "epoch": 0.15, + "learning_rate": 1.9830508474576275e-05, + "loss": 0.6348, + "step": 43 + }, + { + "epoch": 0.15, + "learning_rate": 1.980629539951574e-05, + "loss": 0.6318, + "step": 44 + }, + { + "epoch": 0.16, + "learning_rate": 1.9782082324455207e-05, + "loss": 0.6348, + "step": 45 + }, + { + "epoch": 0.16, + "learning_rate": 1.9757869249394673e-05, + "loss": 0.6201, + "step": 46 + }, + { + "epoch": 0.16, + "learning_rate": 1.9733656174334143e-05, + "loss": 0.6318, + "step": 47 + }, + { + "epoch": 0.17, + "learning_rate": 1.970944309927361e-05, + "loss": 0.6367, + "step": 48 + }, + { + "epoch": 0.17, + "learning_rate": 1.9685230024213075e-05, + "loss": 0.6172, + "step": 49 + }, + { + "epoch": 0.17, + "learning_rate": 1.9661016949152545e-05, + "loss": 0.624, + "step": 50 + }, + { + "epoch": 0.18, + "learning_rate": 1.963680387409201e-05, + "loss": 0.6348, + "step": 51 + }, + { + "epoch": 0.18, + "learning_rate": 1.961259079903148e-05, + "loss": 0.6182, + "step": 52 + }, + { + "epoch": 0.18, + "learning_rate": 1.9588377723970946e-05, + "loss": 0.6494, + "step": 53 + }, + { + "epoch": 0.19, + "learning_rate": 1.9564164648910413e-05, + "loss": 0.6025, + "step": 54 + }, + { + "epoch": 0.19, + "learning_rate": 1.953995157384988e-05, + "loss": 0.6279, + "step": 55 + }, + { + "epoch": 0.2, + "learning_rate": 1.9515738498789348e-05, + "loss": 0.6387, + "step": 56 + }, + { + "epoch": 0.2, + "learning_rate": 1.9491525423728814e-05, + "loss": 0.6064, + "step": 57 + }, + { + "epoch": 0.2, + "learning_rate": 1.9467312348668284e-05, + "loss": 0.6094, + "step": 58 + }, + { + "epoch": 0.21, + "learning_rate": 1.944309927360775e-05, + "loss": 0.626, + "step": 59 + }, + { + "epoch": 0.21, + "learning_rate": 1.9418886198547216e-05, + "loss": 0.6094, + "step": 60 + }, + { + "epoch": 0.21, + "learning_rate": 1.9394673123486686e-05, + "loss": 0.6182, + "step": 61 + }, + { + "epoch": 0.22, + "learning_rate": 1.9370460048426152e-05, + "loss": 0.6016, + "step": 62 + }, + { + "epoch": 0.22, + "learning_rate": 1.9346246973365618e-05, + "loss": 0.6289, + "step": 63 + }, + { + "epoch": 0.22, + "learning_rate": 1.9322033898305087e-05, + "loss": 0.6289, + "step": 64 + }, + { + "epoch": 0.23, + "learning_rate": 1.9297820823244554e-05, + "loss": 0.5928, + "step": 65 + }, + { + "epoch": 0.23, + "learning_rate": 1.927360774818402e-05, + "loss": 0.6182, + "step": 66 + }, + { + "epoch": 0.23, + "learning_rate": 1.924939467312349e-05, + "loss": 0.5918, + "step": 67 + }, + { + "epoch": 0.24, + "learning_rate": 1.9225181598062955e-05, + "loss": 0.6221, + "step": 68 + }, + { + "epoch": 0.24, + "learning_rate": 1.9200968523002425e-05, + "loss": 0.6162, + "step": 69 + }, + { + "epoch": 0.24, + "learning_rate": 1.917675544794189e-05, + "loss": 0.6162, + "step": 70 + }, + { + "epoch": 0.25, + "learning_rate": 1.9152542372881357e-05, + "loss": 0.6445, + "step": 71 + }, + { + "epoch": 0.25, + "learning_rate": 1.9128329297820823e-05, + "loss": 0.6172, + "step": 72 + }, + { + "epoch": 0.25, + "learning_rate": 1.9104116222760293e-05, + "loss": 0.6152, + "step": 73 + }, + { + "epoch": 0.26, + "learning_rate": 1.907990314769976e-05, + "loss": 0.6084, + "step": 74 + }, + { + "epoch": 0.26, + "learning_rate": 1.9055690072639225e-05, + "loss": 0.6162, + "step": 75 + }, + { + "epoch": 0.26, + "learning_rate": 1.9031476997578695e-05, + "loss": 0.5996, + "step": 76 + }, + { + "epoch": 0.27, + "learning_rate": 1.900726392251816e-05, + "loss": 0.6064, + "step": 77 + }, + { + "epoch": 0.27, + "learning_rate": 1.898305084745763e-05, + "loss": 0.5996, + "step": 78 + }, + { + "epoch": 0.28, + "learning_rate": 1.8958837772397097e-05, + "loss": 0.6328, + "step": 79 + }, + { + "epoch": 0.28, + "learning_rate": 1.8934624697336563e-05, + "loss": 0.6133, + "step": 80 + }, + { + "epoch": 0.28, + "learning_rate": 1.891041162227603e-05, + "loss": 0.6143, + "step": 81 + }, + { + "epoch": 0.29, + "learning_rate": 1.88861985472155e-05, + "loss": 0.5996, + "step": 82 + }, + { + "epoch": 0.29, + "learning_rate": 1.8861985472154964e-05, + "loss": 0.6182, + "step": 83 + }, + { + "epoch": 0.29, + "learning_rate": 1.883777239709443e-05, + "loss": 0.623, + "step": 84 + }, + { + "epoch": 0.3, + "learning_rate": 1.88135593220339e-05, + "loss": 0.6055, + "step": 85 + }, + { + "epoch": 0.3, + "learning_rate": 1.8789346246973366e-05, + "loss": 0.5967, + "step": 86 + }, + { + "epoch": 0.3, + "learning_rate": 1.8765133171912836e-05, + "loss": 0.5947, + "step": 87 + }, + { + "epoch": 0.31, + "learning_rate": 1.8740920096852302e-05, + "loss": 0.6182, + "step": 88 + }, + { + "epoch": 0.31, + "learning_rate": 1.8716707021791768e-05, + "loss": 0.6152, + "step": 89 + }, + { + "epoch": 0.31, + "learning_rate": 1.8692493946731238e-05, + "loss": 0.5977, + "step": 90 + }, + { + "epoch": 0.32, + "learning_rate": 1.8668280871670704e-05, + "loss": 0.6348, + "step": 91 + }, + { + "epoch": 0.32, + "learning_rate": 1.864406779661017e-05, + "loss": 0.6074, + "step": 92 + }, + { + "epoch": 0.32, + "learning_rate": 1.8619854721549636e-05, + "loss": 0.5898, + "step": 93 + }, + { + "epoch": 0.33, + "learning_rate": 1.8595641646489106e-05, + "loss": 0.5967, + "step": 94 + }, + { + "epoch": 0.33, + "learning_rate": 1.8571428571428575e-05, + "loss": 0.6113, + "step": 95 + }, + { + "epoch": 0.33, + "learning_rate": 1.854721549636804e-05, + "loss": 0.6123, + "step": 96 + }, + { + "epoch": 0.34, + "learning_rate": 1.8523002421307507e-05, + "loss": 0.6211, + "step": 97 + }, + { + "epoch": 0.34, + "learning_rate": 1.8498789346246974e-05, + "loss": 0.6006, + "step": 98 + }, + { + "epoch": 0.34, + "learning_rate": 1.8474576271186443e-05, + "loss": 0.6113, + "step": 99 + }, + { + "epoch": 0.35, + "learning_rate": 1.845036319612591e-05, + "loss": 0.6006, + "step": 100 + }, + { + "epoch": 0.35, + "learning_rate": 1.8426150121065375e-05, + "loss": 0.6123, + "step": 101 + }, + { + "epoch": 0.36, + "learning_rate": 1.8401937046004845e-05, + "loss": 0.5938, + "step": 102 + }, + { + "epoch": 0.36, + "learning_rate": 1.837772397094431e-05, + "loss": 0.6045, + "step": 103 + }, + { + "epoch": 0.36, + "learning_rate": 1.835351089588378e-05, + "loss": 0.5928, + "step": 104 + }, + { + "epoch": 0.37, + "learning_rate": 1.8329297820823247e-05, + "loss": 0.5977, + "step": 105 + }, + { + "epoch": 0.37, + "learning_rate": 1.8305084745762713e-05, + "loss": 0.6299, + "step": 106 + }, + { + "epoch": 0.37, + "learning_rate": 1.828087167070218e-05, + "loss": 0.5801, + "step": 107 + }, + { + "epoch": 0.38, + "learning_rate": 1.825665859564165e-05, + "loss": 0.6035, + "step": 108 + }, + { + "epoch": 0.38, + "learning_rate": 1.8232445520581115e-05, + "loss": 0.5938, + "step": 109 + }, + { + "epoch": 0.38, + "learning_rate": 1.820823244552058e-05, + "loss": 0.5977, + "step": 110 + }, + { + "epoch": 0.39, + "learning_rate": 1.818401937046005e-05, + "loss": 0.6016, + "step": 111 + }, + { + "epoch": 0.39, + "learning_rate": 1.8159806295399516e-05, + "loss": 0.5957, + "step": 112 + }, + { + "epoch": 0.39, + "learning_rate": 1.8135593220338986e-05, + "loss": 0.6113, + "step": 113 + }, + { + "epoch": 0.4, + "learning_rate": 1.8111380145278452e-05, + "loss": 0.6094, + "step": 114 + }, + { + "epoch": 0.4, + "learning_rate": 1.8087167070217918e-05, + "loss": 0.6016, + "step": 115 + }, + { + "epoch": 0.4, + "learning_rate": 1.8062953995157388e-05, + "loss": 0.6006, + "step": 116 + }, + { + "epoch": 0.41, + "learning_rate": 1.8038740920096854e-05, + "loss": 0.6182, + "step": 117 + }, + { + "epoch": 0.41, + "learning_rate": 1.801452784503632e-05, + "loss": 0.6025, + "step": 118 + }, + { + "epoch": 0.41, + "learning_rate": 1.7990314769975786e-05, + "loss": 0.5938, + "step": 119 + }, + { + "epoch": 0.42, + "learning_rate": 1.7966101694915256e-05, + "loss": 0.6172, + "step": 120 + }, + { + "epoch": 0.42, + "learning_rate": 1.7941888619854725e-05, + "loss": 0.6074, + "step": 121 + }, + { + "epoch": 0.43, + "learning_rate": 1.791767554479419e-05, + "loss": 0.6055, + "step": 122 + }, + { + "epoch": 0.43, + "learning_rate": 1.7893462469733658e-05, + "loss": 0.583, + "step": 123 + }, + { + "epoch": 0.43, + "learning_rate": 1.7869249394673124e-05, + "loss": 0.5918, + "step": 124 + }, + { + "epoch": 0.44, + "learning_rate": 1.7845036319612593e-05, + "loss": 0.6016, + "step": 125 + }, + { + "epoch": 0.44, + "learning_rate": 1.782082324455206e-05, + "loss": 0.6123, + "step": 126 + }, + { + "epoch": 0.44, + "learning_rate": 1.7796610169491526e-05, + "loss": 0.6104, + "step": 127 + }, + { + "epoch": 0.45, + "learning_rate": 1.777239709443099e-05, + "loss": 0.5801, + "step": 128 + }, + { + "epoch": 0.45, + "learning_rate": 1.774818401937046e-05, + "loss": 0.6035, + "step": 129 + }, + { + "epoch": 0.45, + "learning_rate": 1.772397094430993e-05, + "loss": 0.5811, + "step": 130 + }, + { + "epoch": 0.46, + "learning_rate": 1.7699757869249397e-05, + "loss": 0.5908, + "step": 131 + }, + { + "epoch": 0.46, + "learning_rate": 1.7675544794188863e-05, + "loss": 0.6035, + "step": 132 + }, + { + "epoch": 0.46, + "learning_rate": 1.765133171912833e-05, + "loss": 0.6094, + "step": 133 + }, + { + "epoch": 0.47, + "learning_rate": 1.76271186440678e-05, + "loss": 0.5957, + "step": 134 + }, + { + "epoch": 0.47, + "learning_rate": 1.7602905569007265e-05, + "loss": 0.6152, + "step": 135 + }, + { + "epoch": 0.47, + "learning_rate": 1.757869249394673e-05, + "loss": 0.5908, + "step": 136 + }, + { + "epoch": 0.48, + "learning_rate": 1.75544794188862e-05, + "loss": 0.5908, + "step": 137 + }, + { + "epoch": 0.48, + "learning_rate": 1.7530266343825667e-05, + "loss": 0.5957, + "step": 138 + }, + { + "epoch": 0.48, + "learning_rate": 1.7506053268765136e-05, + "loss": 0.585, + "step": 139 + }, + { + "epoch": 0.49, + "learning_rate": 1.7481840193704602e-05, + "loss": 0.6143, + "step": 140 + }, + { + "epoch": 0.49, + "learning_rate": 1.745762711864407e-05, + "loss": 0.6064, + "step": 141 + }, + { + "epoch": 0.49, + "learning_rate": 1.7433414043583538e-05, + "loss": 0.6025, + "step": 142 + }, + { + "epoch": 0.5, + "learning_rate": 1.7409200968523004e-05, + "loss": 0.583, + "step": 143 + }, + { + "epoch": 0.5, + "learning_rate": 1.738498789346247e-05, + "loss": 0.5967, + "step": 144 + }, + { + "epoch": 0.51, + "learning_rate": 1.7360774818401936e-05, + "loss": 0.5947, + "step": 145 + }, + { + "epoch": 0.51, + "learning_rate": 1.7336561743341406e-05, + "loss": 0.6123, + "step": 146 + }, + { + "epoch": 0.51, + "learning_rate": 1.7312348668280875e-05, + "loss": 0.627, + "step": 147 + }, + { + "epoch": 0.52, + "learning_rate": 1.728813559322034e-05, + "loss": 0.5986, + "step": 148 + }, + { + "epoch": 0.52, + "learning_rate": 1.7263922518159808e-05, + "loss": 0.623, + "step": 149 + }, + { + "epoch": 0.52, + "learning_rate": 1.7239709443099274e-05, + "loss": 0.6016, + "step": 150 + }, + { + "epoch": 0.53, + "learning_rate": 1.7215496368038743e-05, + "loss": 0.6016, + "step": 151 + }, + { + "epoch": 0.53, + "learning_rate": 1.719128329297821e-05, + "loss": 0.5928, + "step": 152 + }, + { + "epoch": 0.53, + "learning_rate": 1.7167070217917676e-05, + "loss": 0.582, + "step": 153 + }, + { + "epoch": 0.54, + "learning_rate": 1.7142857142857142e-05, + "loss": 0.5938, + "step": 154 + }, + { + "epoch": 0.54, + "learning_rate": 1.711864406779661e-05, + "loss": 0.6016, + "step": 155 + }, + { + "epoch": 0.54, + "learning_rate": 1.709443099273608e-05, + "loss": 0.584, + "step": 156 + }, + { + "epoch": 0.55, + "learning_rate": 1.7070217917675547e-05, + "loss": 0.5674, + "step": 157 + }, + { + "epoch": 0.55, + "learning_rate": 1.7046004842615013e-05, + "loss": 0.5957, + "step": 158 + }, + { + "epoch": 0.55, + "learning_rate": 1.702179176755448e-05, + "loss": 0.6035, + "step": 159 + }, + { + "epoch": 0.56, + "learning_rate": 1.699757869249395e-05, + "loss": 0.5879, + "step": 160 + }, + { + "epoch": 0.56, + "learning_rate": 1.6973365617433415e-05, + "loss": 0.5898, + "step": 161 + }, + { + "epoch": 0.56, + "learning_rate": 1.694915254237288e-05, + "loss": 0.5732, + "step": 162 + }, + { + "epoch": 0.57, + "learning_rate": 1.692493946731235e-05, + "loss": 0.5859, + "step": 163 + }, + { + "epoch": 0.57, + "learning_rate": 1.6900726392251817e-05, + "loss": 0.5908, + "step": 164 + }, + { + "epoch": 0.57, + "learning_rate": 1.6876513317191286e-05, + "loss": 0.6133, + "step": 165 + }, + { + "epoch": 0.58, + "learning_rate": 1.6852300242130752e-05, + "loss": 0.5645, + "step": 166 + }, + { + "epoch": 0.58, + "learning_rate": 1.682808716707022e-05, + "loss": 0.584, + "step": 167 + }, + { + "epoch": 0.59, + "learning_rate": 1.6803874092009688e-05, + "loss": 0.6035, + "step": 168 + }, + { + "epoch": 0.59, + "learning_rate": 1.6779661016949154e-05, + "loss": 0.5938, + "step": 169 + }, + { + "epoch": 0.59, + "learning_rate": 1.675544794188862e-05, + "loss": 0.5664, + "step": 170 + }, + { + "epoch": 0.6, + "learning_rate": 1.6731234866828087e-05, + "loss": 0.6064, + "step": 171 + }, + { + "epoch": 0.6, + "learning_rate": 1.6707021791767556e-05, + "loss": 0.5977, + "step": 172 + }, + { + "epoch": 0.6, + "learning_rate": 1.6682808716707026e-05, + "loss": 0.5889, + "step": 173 + }, + { + "epoch": 0.61, + "learning_rate": 1.6658595641646492e-05, + "loss": 0.6016, + "step": 174 + }, + { + "epoch": 0.61, + "learning_rate": 1.6634382566585958e-05, + "loss": 0.5986, + "step": 175 + }, + { + "epoch": 0.61, + "learning_rate": 1.6610169491525424e-05, + "loss": 0.5908, + "step": 176 + }, + { + "epoch": 0.62, + "learning_rate": 1.6585956416464894e-05, + "loss": 0.5811, + "step": 177 + }, + { + "epoch": 0.62, + "learning_rate": 1.656174334140436e-05, + "loss": 0.5791, + "step": 178 + }, + { + "epoch": 0.62, + "learning_rate": 1.6537530266343826e-05, + "loss": 0.5967, + "step": 179 + }, + { + "epoch": 0.63, + "learning_rate": 1.6513317191283292e-05, + "loss": 0.6055, + "step": 180 + }, + { + "epoch": 0.63, + "learning_rate": 1.648910411622276e-05, + "loss": 0.5977, + "step": 181 + }, + { + "epoch": 0.63, + "learning_rate": 1.646489104116223e-05, + "loss": 0.583, + "step": 182 + }, + { + "epoch": 0.64, + "learning_rate": 1.6440677966101697e-05, + "loss": 0.6162, + "step": 183 + }, + { + "epoch": 0.64, + "learning_rate": 1.6416464891041163e-05, + "loss": 0.6016, + "step": 184 + }, + { + "epoch": 0.64, + "learning_rate": 1.639225181598063e-05, + "loss": 0.5869, + "step": 185 + }, + { + "epoch": 0.65, + "learning_rate": 1.63680387409201e-05, + "loss": 0.5576, + "step": 186 + }, + { + "epoch": 0.65, + "learning_rate": 1.6343825665859565e-05, + "loss": 0.5938, + "step": 187 + }, + { + "epoch": 0.66, + "learning_rate": 1.631961259079903e-05, + "loss": 0.5879, + "step": 188 + }, + { + "epoch": 0.66, + "learning_rate": 1.62953995157385e-05, + "loss": 0.583, + "step": 189 + }, + { + "epoch": 0.66, + "learning_rate": 1.6271186440677967e-05, + "loss": 0.583, + "step": 190 + }, + { + "epoch": 0.67, + "learning_rate": 1.6246973365617437e-05, + "loss": 0.5781, + "step": 191 + }, + { + "epoch": 0.67, + "learning_rate": 1.6222760290556903e-05, + "loss": 0.5918, + "step": 192 + }, + { + "epoch": 0.67, + "learning_rate": 1.619854721549637e-05, + "loss": 0.5859, + "step": 193 + }, + { + "epoch": 0.68, + "learning_rate": 1.617433414043584e-05, + "loss": 0.6152, + "step": 194 + }, + { + "epoch": 0.68, + "learning_rate": 1.6150121065375304e-05, + "loss": 0.582, + "step": 195 + }, + { + "epoch": 0.68, + "learning_rate": 1.612590799031477e-05, + "loss": 0.5986, + "step": 196 + }, + { + "epoch": 0.69, + "learning_rate": 1.6101694915254237e-05, + "loss": 0.5752, + "step": 197 + }, + { + "epoch": 0.69, + "learning_rate": 1.6077481840193706e-05, + "loss": 0.5791, + "step": 198 + }, + { + "epoch": 0.69, + "learning_rate": 1.6053268765133176e-05, + "loss": 0.5732, + "step": 199 + }, + { + "epoch": 0.7, + "learning_rate": 1.6029055690072642e-05, + "loss": 0.6094, + "step": 200 + }, + { + "epoch": 0.7, + "learning_rate": 1.6004842615012108e-05, + "loss": 0.5996, + "step": 201 + }, + { + "epoch": 0.7, + "learning_rate": 1.5980629539951574e-05, + "loss": 0.6006, + "step": 202 + }, + { + "epoch": 0.71, + "learning_rate": 1.5956416464891044e-05, + "loss": 0.6113, + "step": 203 + }, + { + "epoch": 0.71, + "learning_rate": 1.593220338983051e-05, + "loss": 0.5889, + "step": 204 + }, + { + "epoch": 0.71, + "learning_rate": 1.5907990314769976e-05, + "loss": 0.5781, + "step": 205 + }, + { + "epoch": 0.72, + "learning_rate": 1.5883777239709442e-05, + "loss": 0.6113, + "step": 206 + }, + { + "epoch": 0.72, + "learning_rate": 1.5859564164648912e-05, + "loss": 0.5918, + "step": 207 + }, + { + "epoch": 0.72, + "learning_rate": 1.583535108958838e-05, + "loss": 0.5693, + "step": 208 + }, + { + "epoch": 0.73, + "learning_rate": 1.5811138014527847e-05, + "loss": 0.5986, + "step": 209 + }, + { + "epoch": 0.73, + "learning_rate": 1.5786924939467314e-05, + "loss": 0.5625, + "step": 210 + }, + { + "epoch": 0.74, + "learning_rate": 1.576271186440678e-05, + "loss": 0.5908, + "step": 211 + }, + { + "epoch": 0.74, + "learning_rate": 1.573849878934625e-05, + "loss": 0.5938, + "step": 212 + }, + { + "epoch": 0.74, + "learning_rate": 1.5714285714285715e-05, + "loss": 0.6123, + "step": 213 + }, + { + "epoch": 0.75, + "learning_rate": 1.569007263922518e-05, + "loss": 0.5879, + "step": 214 + }, + { + "epoch": 0.75, + "learning_rate": 1.566585956416465e-05, + "loss": 0.583, + "step": 215 + }, + { + "epoch": 0.75, + "learning_rate": 1.5641646489104117e-05, + "loss": 0.6094, + "step": 216 + }, + { + "epoch": 0.76, + "learning_rate": 1.5617433414043587e-05, + "loss": 0.624, + "step": 217 + }, + { + "epoch": 0.76, + "learning_rate": 1.5593220338983053e-05, + "loss": 0.5947, + "step": 218 + }, + { + "epoch": 0.76, + "learning_rate": 1.556900726392252e-05, + "loss": 0.6084, + "step": 219 + }, + { + "epoch": 0.77, + "learning_rate": 1.554479418886199e-05, + "loss": 0.5908, + "step": 220 + }, + { + "epoch": 0.77, + "learning_rate": 1.5520581113801455e-05, + "loss": 0.5938, + "step": 221 + }, + { + "epoch": 0.77, + "learning_rate": 1.549636803874092e-05, + "loss": 0.5625, + "step": 222 + }, + { + "epoch": 0.78, + "learning_rate": 1.5472154963680387e-05, + "loss": 0.583, + "step": 223 + }, + { + "epoch": 0.78, + "learning_rate": 1.5447941888619856e-05, + "loss": 0.5938, + "step": 224 + }, + { + "epoch": 0.78, + "learning_rate": 1.5423728813559326e-05, + "loss": 0.583, + "step": 225 + }, + { + "epoch": 0.79, + "learning_rate": 1.5399515738498792e-05, + "loss": 0.5918, + "step": 226 + }, + { + "epoch": 0.79, + "learning_rate": 1.5375302663438258e-05, + "loss": 0.582, + "step": 227 + }, + { + "epoch": 0.79, + "learning_rate": 1.5351089588377724e-05, + "loss": 0.5996, + "step": 228 + }, + { + "epoch": 0.8, + "learning_rate": 1.5326876513317194e-05, + "loss": 0.5684, + "step": 229 + }, + { + "epoch": 0.8, + "learning_rate": 1.530266343825666e-05, + "loss": 0.5996, + "step": 230 + }, + { + "epoch": 0.8, + "learning_rate": 1.5278450363196126e-05, + "loss": 0.5791, + "step": 231 + }, + { + "epoch": 0.81, + "learning_rate": 1.5254237288135594e-05, + "loss": 0.5869, + "step": 232 + }, + { + "epoch": 0.81, + "learning_rate": 1.523002421307506e-05, + "loss": 0.5625, + "step": 233 + }, + { + "epoch": 0.82, + "learning_rate": 1.520581113801453e-05, + "loss": 0.5771, + "step": 234 + }, + { + "epoch": 0.82, + "learning_rate": 1.5181598062953998e-05, + "loss": 0.5869, + "step": 235 + }, + { + "epoch": 0.82, + "learning_rate": 1.5157384987893464e-05, + "loss": 0.5654, + "step": 236 + }, + { + "epoch": 0.83, + "learning_rate": 1.5133171912832932e-05, + "loss": 0.5605, + "step": 237 + }, + { + "epoch": 0.83, + "learning_rate": 1.5108958837772398e-05, + "loss": 0.5967, + "step": 238 + }, + { + "epoch": 0.83, + "learning_rate": 1.5084745762711865e-05, + "loss": 0.5674, + "step": 239 + }, + { + "epoch": 0.84, + "learning_rate": 1.5060532687651332e-05, + "loss": 0.5889, + "step": 240 + }, + { + "epoch": 0.84, + "learning_rate": 1.50363196125908e-05, + "loss": 0.5947, + "step": 241 + }, + { + "epoch": 0.84, + "learning_rate": 1.5012106537530267e-05, + "loss": 0.5801, + "step": 242 + }, + { + "epoch": 0.85, + "learning_rate": 1.4987893462469735e-05, + "loss": 0.5771, + "step": 243 + }, + { + "epoch": 0.85, + "learning_rate": 1.4963680387409203e-05, + "loss": 0.6006, + "step": 244 + }, + { + "epoch": 0.85, + "learning_rate": 1.493946731234867e-05, + "loss": 0.5693, + "step": 245 + }, + { + "epoch": 0.86, + "learning_rate": 1.4915254237288137e-05, + "loss": 0.5898, + "step": 246 + }, + { + "epoch": 0.86, + "learning_rate": 1.4891041162227605e-05, + "loss": 0.5918, + "step": 247 + }, + { + "epoch": 0.86, + "learning_rate": 1.4866828087167071e-05, + "loss": 0.583, + "step": 248 + }, + { + "epoch": 0.87, + "learning_rate": 1.4842615012106539e-05, + "loss": 0.585, + "step": 249 + }, + { + "epoch": 0.87, + "learning_rate": 1.4818401937046005e-05, + "loss": 0.5664, + "step": 250 + }, + { + "epoch": 0.87, + "learning_rate": 1.4794188861985473e-05, + "loss": 0.5771, + "step": 251 + }, + { + "epoch": 0.88, + "learning_rate": 1.4769975786924942e-05, + "loss": 0.5771, + "step": 252 + }, + { + "epoch": 0.88, + "learning_rate": 1.4745762711864408e-05, + "loss": 0.6104, + "step": 253 + }, + { + "epoch": 0.89, + "learning_rate": 1.4721549636803876e-05, + "loss": 0.5732, + "step": 254 + }, + { + "epoch": 0.89, + "learning_rate": 1.4697336561743342e-05, + "loss": 0.5859, + "step": 255 + }, + { + "epoch": 0.89, + "learning_rate": 1.467312348668281e-05, + "loss": 0.6025, + "step": 256 + }, + { + "epoch": 0.9, + "learning_rate": 1.4648910411622276e-05, + "loss": 0.5869, + "step": 257 + }, + { + "epoch": 0.9, + "learning_rate": 1.4624697336561744e-05, + "loss": 0.6006, + "step": 258 + }, + { + "epoch": 0.9, + "learning_rate": 1.460048426150121e-05, + "loss": 0.585, + "step": 259 + }, + { + "epoch": 0.91, + "learning_rate": 1.4576271186440678e-05, + "loss": 0.5859, + "step": 260 + }, + { + "epoch": 0.91, + "learning_rate": 1.4552058111380148e-05, + "loss": 0.5654, + "step": 261 + }, + { + "epoch": 0.91, + "learning_rate": 1.4527845036319614e-05, + "loss": 0.5811, + "step": 262 + }, + { + "epoch": 0.92, + "learning_rate": 1.4503631961259082e-05, + "loss": 0.6006, + "step": 263 + }, + { + "epoch": 0.92, + "learning_rate": 1.4479418886198548e-05, + "loss": 0.5674, + "step": 264 + }, + { + "epoch": 0.92, + "learning_rate": 1.4455205811138016e-05, + "loss": 0.5996, + "step": 265 + }, + { + "epoch": 0.93, + "learning_rate": 1.4430992736077482e-05, + "loss": 0.5889, + "step": 266 + }, + { + "epoch": 0.93, + "learning_rate": 1.440677966101695e-05, + "loss": 0.585, + "step": 267 + }, + { + "epoch": 0.93, + "learning_rate": 1.4382566585956417e-05, + "loss": 0.5625, + "step": 268 + }, + { + "epoch": 0.94, + "learning_rate": 1.4358353510895885e-05, + "loss": 0.5791, + "step": 269 + }, + { + "epoch": 0.94, + "learning_rate": 1.4334140435835353e-05, + "loss": 0.5869, + "step": 270 + }, + { + "epoch": 0.94, + "learning_rate": 1.4309927360774821e-05, + "loss": 0.5918, + "step": 271 + }, + { + "epoch": 0.95, + "learning_rate": 1.4285714285714287e-05, + "loss": 0.5791, + "step": 272 + }, + { + "epoch": 0.95, + "learning_rate": 1.4261501210653755e-05, + "loss": 0.5674, + "step": 273 + }, + { + "epoch": 0.95, + "learning_rate": 1.4237288135593221e-05, + "loss": 0.5947, + "step": 274 + }, + { + "epoch": 0.96, + "learning_rate": 1.4213075060532689e-05, + "loss": 0.6133, + "step": 275 + }, + { + "epoch": 0.96, + "learning_rate": 1.4188861985472155e-05, + "loss": 0.5986, + "step": 276 + }, + { + "epoch": 0.97, + "learning_rate": 1.4164648910411623e-05, + "loss": 0.5996, + "step": 277 + }, + { + "epoch": 0.97, + "learning_rate": 1.4140435835351092e-05, + "loss": 0.5713, + "step": 278 + }, + { + "epoch": 0.97, + "learning_rate": 1.4116222760290559e-05, + "loss": 0.5762, + "step": 279 + }, + { + "epoch": 0.98, + "learning_rate": 1.4092009685230026e-05, + "loss": 0.5908, + "step": 280 + }, + { + "epoch": 0.98, + "learning_rate": 1.4067796610169493e-05, + "loss": 0.5703, + "step": 281 + }, + { + "epoch": 0.98, + "learning_rate": 1.404358353510896e-05, + "loss": 0.5596, + "step": 282 + }, + { + "epoch": 0.99, + "learning_rate": 1.4019370460048427e-05, + "loss": 0.5908, + "step": 283 + }, + { + "epoch": 0.99, + "learning_rate": 1.3995157384987894e-05, + "loss": 0.5674, + "step": 284 + }, + { + "epoch": 0.99, + "learning_rate": 1.397094430992736e-05, + "loss": 0.5781, + "step": 285 + }, + { + "epoch": 1.0, + "learning_rate": 1.3946731234866828e-05, + "loss": 0.5762, + "step": 286 + }, + { + "epoch": 1.0, + "learning_rate": 1.3922518159806298e-05, + "loss": 0.7271, + "step": 287 + }, + { + "epoch": 1.0, + "learning_rate": 1.3898305084745764e-05, + "loss": 0.3965, + "step": 288 + }, + { + "epoch": 1.01, + "learning_rate": 1.3874092009685232e-05, + "loss": 0.3896, + "step": 289 + }, + { + "epoch": 1.01, + "learning_rate": 1.3849878934624698e-05, + "loss": 0.4058, + "step": 290 + }, + { + "epoch": 1.01, + "learning_rate": 1.3825665859564166e-05, + "loss": 0.3989, + "step": 291 + }, + { + "epoch": 1.02, + "learning_rate": 1.3801452784503632e-05, + "loss": 0.4155, + "step": 292 + }, + { + "epoch": 1.02, + "learning_rate": 1.37772397094431e-05, + "loss": 0.4067, + "step": 293 + }, + { + "epoch": 1.02, + "learning_rate": 1.3753026634382568e-05, + "loss": 0.4009, + "step": 294 + }, + { + "epoch": 1.03, + "learning_rate": 1.3728813559322034e-05, + "loss": 0.416, + "step": 295 + }, + { + "epoch": 1.03, + "learning_rate": 1.3704600484261503e-05, + "loss": 0.4058, + "step": 296 + }, + { + "epoch": 1.03, + "learning_rate": 1.368038740920097e-05, + "loss": 0.3701, + "step": 297 + }, + { + "epoch": 1.04, + "learning_rate": 1.3656174334140437e-05, + "loss": 0.3926, + "step": 298 + }, + { + "epoch": 1.04, + "learning_rate": 1.3631961259079905e-05, + "loss": 0.3955, + "step": 299 + }, + { + "epoch": 1.05, + "learning_rate": 1.3607748184019371e-05, + "loss": 0.3755, + "step": 300 + }, + { + "epoch": 1.05, + "learning_rate": 1.3583535108958839e-05, + "loss": 0.3726, + "step": 301 + }, + { + "epoch": 1.05, + "learning_rate": 1.3559322033898305e-05, + "loss": 0.3911, + "step": 302 + }, + { + "epoch": 1.06, + "learning_rate": 1.3535108958837773e-05, + "loss": 0.3706, + "step": 303 + }, + { + "epoch": 1.06, + "learning_rate": 1.351089588377724e-05, + "loss": 0.3696, + "step": 304 + }, + { + "epoch": 1.06, + "learning_rate": 1.3486682808716709e-05, + "loss": 0.3804, + "step": 305 + }, + { + "epoch": 1.07, + "learning_rate": 1.3462469733656177e-05, + "loss": 0.373, + "step": 306 + }, + { + "epoch": 1.07, + "learning_rate": 1.3438256658595643e-05, + "loss": 0.3667, + "step": 307 + }, + { + "epoch": 1.07, + "learning_rate": 1.341404358353511e-05, + "loss": 0.3643, + "step": 308 + }, + { + "epoch": 1.08, + "learning_rate": 1.3389830508474577e-05, + "loss": 0.3457, + "step": 309 + }, + { + "epoch": 1.08, + "learning_rate": 1.3365617433414045e-05, + "loss": 0.3525, + "step": 310 + }, + { + "epoch": 1.08, + "learning_rate": 1.334140435835351e-05, + "loss": 0.356, + "step": 311 + }, + { + "epoch": 1.09, + "learning_rate": 1.3317191283292979e-05, + "loss": 0.3545, + "step": 312 + }, + { + "epoch": 1.09, + "learning_rate": 1.3292978208232448e-05, + "loss": 0.353, + "step": 313 + }, + { + "epoch": 1.09, + "learning_rate": 1.3268765133171914e-05, + "loss": 0.3447, + "step": 314 + }, + { + "epoch": 1.1, + "learning_rate": 1.3244552058111382e-05, + "loss": 0.3569, + "step": 315 + }, + { + "epoch": 1.1, + "learning_rate": 1.3220338983050848e-05, + "loss": 0.3545, + "step": 316 + }, + { + "epoch": 1.1, + "learning_rate": 1.3196125907990316e-05, + "loss": 0.3438, + "step": 317 + }, + { + "epoch": 1.11, + "learning_rate": 1.3171912832929782e-05, + "loss": 0.3423, + "step": 318 + }, + { + "epoch": 1.11, + "learning_rate": 1.314769975786925e-05, + "loss": 0.3594, + "step": 319 + }, + { + "epoch": 1.11, + "learning_rate": 1.3123486682808718e-05, + "loss": 0.3442, + "step": 320 + }, + { + "epoch": 1.12, + "learning_rate": 1.3099273607748184e-05, + "loss": 0.3662, + "step": 321 + }, + { + "epoch": 1.12, + "learning_rate": 1.3075060532687653e-05, + "loss": 0.3584, + "step": 322 + }, + { + "epoch": 1.13, + "learning_rate": 1.305084745762712e-05, + "loss": 0.3511, + "step": 323 + }, + { + "epoch": 1.13, + "learning_rate": 1.3026634382566587e-05, + "loss": 0.3711, + "step": 324 + }, + { + "epoch": 1.13, + "learning_rate": 1.3002421307506055e-05, + "loss": 0.3486, + "step": 325 + }, + { + "epoch": 1.14, + "learning_rate": 1.2978208232445521e-05, + "loss": 0.355, + "step": 326 + }, + { + "epoch": 1.14, + "learning_rate": 1.295399515738499e-05, + "loss": 0.3589, + "step": 327 + }, + { + "epoch": 1.14, + "learning_rate": 1.2929782082324455e-05, + "loss": 0.3447, + "step": 328 + }, + { + "epoch": 1.15, + "learning_rate": 1.2905569007263923e-05, + "loss": 0.3442, + "step": 329 + }, + { + "epoch": 1.15, + "learning_rate": 1.288135593220339e-05, + "loss": 0.335, + "step": 330 + }, + { + "epoch": 1.15, + "learning_rate": 1.2857142857142859e-05, + "loss": 0.3369, + "step": 331 + }, + { + "epoch": 1.16, + "learning_rate": 1.2832929782082327e-05, + "loss": 0.3467, + "step": 332 + }, + { + "epoch": 1.16, + "learning_rate": 1.2808716707021793e-05, + "loss": 0.3428, + "step": 333 + }, + { + "epoch": 1.16, + "learning_rate": 1.278450363196126e-05, + "loss": 0.3452, + "step": 334 + }, + { + "epoch": 1.17, + "learning_rate": 1.2760290556900727e-05, + "loss": 0.3428, + "step": 335 + }, + { + "epoch": 1.17, + "learning_rate": 1.2736077481840195e-05, + "loss": 0.3525, + "step": 336 + }, + { + "epoch": 1.17, + "learning_rate": 1.2711864406779661e-05, + "loss": 0.3398, + "step": 337 + }, + { + "epoch": 1.18, + "learning_rate": 1.2687651331719129e-05, + "loss": 0.3477, + "step": 338 + }, + { + "epoch": 1.18, + "learning_rate": 1.2663438256658595e-05, + "loss": 0.3433, + "step": 339 + }, + { + "epoch": 1.18, + "learning_rate": 1.2639225181598064e-05, + "loss": 0.3438, + "step": 340 + }, + { + "epoch": 1.19, + "learning_rate": 1.2615012106537532e-05, + "loss": 0.3442, + "step": 341 + }, + { + "epoch": 1.19, + "learning_rate": 1.2590799031476998e-05, + "loss": 0.3457, + "step": 342 + }, + { + "epoch": 1.2, + "learning_rate": 1.2566585956416466e-05, + "loss": 0.3374, + "step": 343 + }, + { + "epoch": 1.2, + "learning_rate": 1.2542372881355932e-05, + "loss": 0.333, + "step": 344 + }, + { + "epoch": 1.2, + "learning_rate": 1.25181598062954e-05, + "loss": 0.3486, + "step": 345 + }, + { + "epoch": 1.21, + "learning_rate": 1.2493946731234868e-05, + "loss": 0.3462, + "step": 346 + }, + { + "epoch": 1.21, + "learning_rate": 1.2469733656174334e-05, + "loss": 0.3335, + "step": 347 + }, + { + "epoch": 1.21, + "learning_rate": 1.2445520581113804e-05, + "loss": 0.3379, + "step": 348 + }, + { + "epoch": 1.22, + "learning_rate": 1.242130750605327e-05, + "loss": 0.3467, + "step": 349 + }, + { + "epoch": 1.22, + "learning_rate": 1.2397094430992738e-05, + "loss": 0.3481, + "step": 350 + }, + { + "epoch": 1.22, + "learning_rate": 1.2372881355932205e-05, + "loss": 0.354, + "step": 351 + }, + { + "epoch": 1.23, + "learning_rate": 1.2348668280871672e-05, + "loss": 0.3433, + "step": 352 + }, + { + "epoch": 1.23, + "learning_rate": 1.232445520581114e-05, + "loss": 0.3501, + "step": 353 + }, + { + "epoch": 1.23, + "learning_rate": 1.2300242130750606e-05, + "loss": 0.3369, + "step": 354 + }, + { + "epoch": 1.24, + "learning_rate": 1.2276029055690073e-05, + "loss": 0.3403, + "step": 355 + }, + { + "epoch": 1.24, + "learning_rate": 1.225181598062954e-05, + "loss": 0.3535, + "step": 356 + }, + { + "epoch": 1.24, + "learning_rate": 1.2227602905569009e-05, + "loss": 0.353, + "step": 357 + }, + { + "epoch": 1.25, + "learning_rate": 1.2203389830508477e-05, + "loss": 0.3555, + "step": 358 + }, + { + "epoch": 1.25, + "learning_rate": 1.2179176755447943e-05, + "loss": 0.3389, + "step": 359 + }, + { + "epoch": 1.25, + "learning_rate": 1.2154963680387411e-05, + "loss": 0.3657, + "step": 360 + }, + { + "epoch": 1.26, + "learning_rate": 1.2130750605326877e-05, + "loss": 0.3398, + "step": 361 + }, + { + "epoch": 1.26, + "learning_rate": 1.2106537530266345e-05, + "loss": 0.3374, + "step": 362 + }, + { + "epoch": 1.26, + "learning_rate": 1.2082324455205811e-05, + "loss": 0.3325, + "step": 363 + }, + { + "epoch": 1.27, + "learning_rate": 1.2058111380145279e-05, + "loss": 0.3452, + "step": 364 + }, + { + "epoch": 1.27, + "learning_rate": 1.2033898305084745e-05, + "loss": 0.3281, + "step": 365 + }, + { + "epoch": 1.28, + "learning_rate": 1.2009685230024215e-05, + "loss": 0.3228, + "step": 366 + }, + { + "epoch": 1.28, + "learning_rate": 1.1985472154963682e-05, + "loss": 0.353, + "step": 367 + }, + { + "epoch": 1.28, + "learning_rate": 1.1961259079903149e-05, + "loss": 0.3457, + "step": 368 + }, + { + "epoch": 1.29, + "learning_rate": 1.1937046004842616e-05, + "loss": 0.3506, + "step": 369 + }, + { + "epoch": 1.29, + "learning_rate": 1.1912832929782082e-05, + "loss": 0.3457, + "step": 370 + }, + { + "epoch": 1.29, + "learning_rate": 1.188861985472155e-05, + "loss": 0.3413, + "step": 371 + }, + { + "epoch": 1.3, + "learning_rate": 1.1864406779661018e-05, + "loss": 0.3462, + "step": 372 + }, + { + "epoch": 1.3, + "learning_rate": 1.1840193704600484e-05, + "loss": 0.3354, + "step": 373 + }, + { + "epoch": 1.3, + "learning_rate": 1.1815980629539952e-05, + "loss": 0.3452, + "step": 374 + }, + { + "epoch": 1.31, + "learning_rate": 1.179176755447942e-05, + "loss": 0.3594, + "step": 375 + }, + { + "epoch": 1.31, + "learning_rate": 1.1767554479418888e-05, + "loss": 0.3511, + "step": 376 + }, + { + "epoch": 1.31, + "learning_rate": 1.1743341404358356e-05, + "loss": 0.3521, + "step": 377 + }, + { + "epoch": 1.32, + "learning_rate": 1.1719128329297822e-05, + "loss": 0.3311, + "step": 378 + }, + { + "epoch": 1.32, + "learning_rate": 1.169491525423729e-05, + "loss": 0.3301, + "step": 379 + }, + { + "epoch": 1.32, + "learning_rate": 1.1670702179176756e-05, + "loss": 0.3564, + "step": 380 + }, + { + "epoch": 1.33, + "learning_rate": 1.1646489104116224e-05, + "loss": 0.3345, + "step": 381 + }, + { + "epoch": 1.33, + "learning_rate": 1.162227602905569e-05, + "loss": 0.355, + "step": 382 + }, + { + "epoch": 1.33, + "learning_rate": 1.1598062953995158e-05, + "loss": 0.3364, + "step": 383 + }, + { + "epoch": 1.34, + "learning_rate": 1.1573849878934627e-05, + "loss": 0.3335, + "step": 384 + }, + { + "epoch": 1.34, + "learning_rate": 1.1549636803874093e-05, + "loss": 0.3477, + "step": 385 + }, + { + "epoch": 1.34, + "learning_rate": 1.1525423728813561e-05, + "loss": 0.3433, + "step": 386 + }, + { + "epoch": 1.35, + "learning_rate": 1.1501210653753027e-05, + "loss": 0.3467, + "step": 387 + }, + { + "epoch": 1.35, + "learning_rate": 1.1476997578692495e-05, + "loss": 0.3462, + "step": 388 + }, + { + "epoch": 1.36, + "learning_rate": 1.1452784503631961e-05, + "loss": 0.3354, + "step": 389 + }, + { + "epoch": 1.36, + "learning_rate": 1.1428571428571429e-05, + "loss": 0.334, + "step": 390 + }, + { + "epoch": 1.36, + "learning_rate": 1.1404358353510895e-05, + "loss": 0.3354, + "step": 391 + }, + { + "epoch": 1.37, + "learning_rate": 1.1380145278450365e-05, + "loss": 0.3501, + "step": 392 + }, + { + "epoch": 1.37, + "learning_rate": 1.1355932203389833e-05, + "loss": 0.3564, + "step": 393 + }, + { + "epoch": 1.37, + "learning_rate": 1.1331719128329299e-05, + "loss": 0.3442, + "step": 394 + }, + { + "epoch": 1.38, + "learning_rate": 1.1307506053268767e-05, + "loss": 0.333, + "step": 395 + }, + { + "epoch": 1.38, + "learning_rate": 1.1283292978208233e-05, + "loss": 0.3428, + "step": 396 + }, + { + "epoch": 1.38, + "learning_rate": 1.12590799031477e-05, + "loss": 0.3564, + "step": 397 + }, + { + "epoch": 1.39, + "learning_rate": 1.1234866828087168e-05, + "loss": 0.3359, + "step": 398 + }, + { + "epoch": 1.39, + "learning_rate": 1.1210653753026634e-05, + "loss": 0.3335, + "step": 399 + }, + { + "epoch": 1.39, + "learning_rate": 1.1186440677966102e-05, + "loss": 0.3462, + "step": 400 + }, + { + "epoch": 1.4, + "learning_rate": 1.116222760290557e-05, + "loss": 0.3408, + "step": 401 + }, + { + "epoch": 1.4, + "learning_rate": 1.1138014527845038e-05, + "loss": 0.3335, + "step": 402 + }, + { + "epoch": 1.4, + "learning_rate": 1.1113801452784506e-05, + "loss": 0.3457, + "step": 403 + }, + { + "epoch": 1.41, + "learning_rate": 1.1089588377723972e-05, + "loss": 0.3457, + "step": 404 + }, + { + "epoch": 1.41, + "learning_rate": 1.106537530266344e-05, + "loss": 0.3477, + "step": 405 + }, + { + "epoch": 1.41, + "learning_rate": 1.1041162227602906e-05, + "loss": 0.3564, + "step": 406 + }, + { + "epoch": 1.42, + "learning_rate": 1.1016949152542374e-05, + "loss": 0.3135, + "step": 407 + }, + { + "epoch": 1.42, + "learning_rate": 1.099273607748184e-05, + "loss": 0.3438, + "step": 408 + }, + { + "epoch": 1.43, + "learning_rate": 1.0968523002421308e-05, + "loss": 0.3389, + "step": 409 + }, + { + "epoch": 1.43, + "learning_rate": 1.0944309927360777e-05, + "loss": 0.3447, + "step": 410 + }, + { + "epoch": 1.43, + "learning_rate": 1.0920096852300243e-05, + "loss": 0.3428, + "step": 411 + }, + { + "epoch": 1.44, + "learning_rate": 1.0895883777239711e-05, + "loss": 0.3545, + "step": 412 + }, + { + "epoch": 1.44, + "learning_rate": 1.0871670702179177e-05, + "loss": 0.3394, + "step": 413 + }, + { + "epoch": 1.44, + "learning_rate": 1.0847457627118645e-05, + "loss": 0.3442, + "step": 414 + }, + { + "epoch": 1.45, + "learning_rate": 1.0823244552058111e-05, + "loss": 0.3237, + "step": 415 + }, + { + "epoch": 1.45, + "learning_rate": 1.079903147699758e-05, + "loss": 0.3286, + "step": 416 + }, + { + "epoch": 1.45, + "learning_rate": 1.0774818401937045e-05, + "loss": 0.3296, + "step": 417 + }, + { + "epoch": 1.46, + "learning_rate": 1.0750605326876513e-05, + "loss": 0.3447, + "step": 418 + }, + { + "epoch": 1.46, + "learning_rate": 1.0726392251815983e-05, + "loss": 0.3301, + "step": 419 + }, + { + "epoch": 1.46, + "learning_rate": 1.0702179176755449e-05, + "loss": 0.3398, + "step": 420 + }, + { + "epoch": 1.47, + "learning_rate": 1.0677966101694917e-05, + "loss": 0.3452, + "step": 421 + }, + { + "epoch": 1.47, + "learning_rate": 1.0653753026634383e-05, + "loss": 0.3608, + "step": 422 + }, + { + "epoch": 1.47, + "learning_rate": 1.062953995157385e-05, + "loss": 0.3345, + "step": 423 + }, + { + "epoch": 1.48, + "learning_rate": 1.0605326876513318e-05, + "loss": 0.3291, + "step": 424 + }, + { + "epoch": 1.48, + "learning_rate": 1.0581113801452785e-05, + "loss": 0.3667, + "step": 425 + }, + { + "epoch": 1.48, + "learning_rate": 1.0556900726392252e-05, + "loss": 0.3594, + "step": 426 + }, + { + "epoch": 1.49, + "learning_rate": 1.0532687651331719e-05, + "loss": 0.3579, + "step": 427 + }, + { + "epoch": 1.49, + "learning_rate": 1.0508474576271188e-05, + "loss": 0.3345, + "step": 428 + }, + { + "epoch": 1.49, + "learning_rate": 1.0484261501210656e-05, + "loss": 0.3281, + "step": 429 + }, + { + "epoch": 1.5, + "learning_rate": 1.0460048426150122e-05, + "loss": 0.3403, + "step": 430 + }, + { + "epoch": 1.5, + "learning_rate": 1.043583535108959e-05, + "loss": 0.3604, + "step": 431 + }, + { + "epoch": 1.51, + "learning_rate": 1.0411622276029056e-05, + "loss": 0.3335, + "step": 432 + }, + { + "epoch": 1.51, + "learning_rate": 1.0387409200968524e-05, + "loss": 0.3462, + "step": 433 + }, + { + "epoch": 1.51, + "learning_rate": 1.036319612590799e-05, + "loss": 0.3423, + "step": 434 + }, + { + "epoch": 1.52, + "learning_rate": 1.0338983050847458e-05, + "loss": 0.3364, + "step": 435 + }, + { + "epoch": 1.52, + "learning_rate": 1.0314769975786927e-05, + "loss": 0.3496, + "step": 436 + }, + { + "epoch": 1.52, + "learning_rate": 1.0290556900726394e-05, + "loss": 0.3325, + "step": 437 + }, + { + "epoch": 1.53, + "learning_rate": 1.0266343825665861e-05, + "loss": 0.3413, + "step": 438 + }, + { + "epoch": 1.53, + "learning_rate": 1.0242130750605328e-05, + "loss": 0.335, + "step": 439 + }, + { + "epoch": 1.53, + "learning_rate": 1.0217917675544795e-05, + "loss": 0.3423, + "step": 440 + }, + { + "epoch": 1.54, + "learning_rate": 1.0193704600484262e-05, + "loss": 0.3335, + "step": 441 + }, + { + "epoch": 1.54, + "learning_rate": 1.016949152542373e-05, + "loss": 0.3379, + "step": 442 + }, + { + "epoch": 1.54, + "learning_rate": 1.0145278450363195e-05, + "loss": 0.3506, + "step": 443 + }, + { + "epoch": 1.55, + "learning_rate": 1.0121065375302663e-05, + "loss": 0.3457, + "step": 444 + }, + { + "epoch": 1.55, + "learning_rate": 1.0096852300242133e-05, + "loss": 0.334, + "step": 445 + }, + { + "epoch": 1.55, + "learning_rate": 1.0072639225181599e-05, + "loss": 0.3408, + "step": 446 + }, + { + "epoch": 1.56, + "learning_rate": 1.0048426150121067e-05, + "loss": 0.3525, + "step": 447 + }, + { + "epoch": 1.56, + "learning_rate": 1.0024213075060533e-05, + "loss": 0.3491, + "step": 448 + }, + { + "epoch": 1.56, + "learning_rate": 1e-05, + "loss": 0.3286, + "step": 449 + }, + { + "epoch": 1.57, + "learning_rate": 9.975786924939469e-06, + "loss": 0.3159, + "step": 450 + }, + { + "epoch": 1.57, + "learning_rate": 9.951573849878935e-06, + "loss": 0.3252, + "step": 451 + }, + { + "epoch": 1.57, + "learning_rate": 9.927360774818403e-06, + "loss": 0.335, + "step": 452 + }, + { + "epoch": 1.58, + "learning_rate": 9.90314769975787e-06, + "loss": 0.3481, + "step": 453 + }, + { + "epoch": 1.58, + "learning_rate": 9.878934624697337e-06, + "loss": 0.3403, + "step": 454 + }, + { + "epoch": 1.59, + "learning_rate": 9.854721549636804e-06, + "loss": 0.3467, + "step": 455 + }, + { + "epoch": 1.59, + "learning_rate": 9.830508474576272e-06, + "loss": 0.3364, + "step": 456 + }, + { + "epoch": 1.59, + "learning_rate": 9.80629539951574e-06, + "loss": 0.3589, + "step": 457 + }, + { + "epoch": 1.6, + "learning_rate": 9.782082324455206e-06, + "loss": 0.3408, + "step": 458 + }, + { + "epoch": 1.6, + "learning_rate": 9.757869249394674e-06, + "loss": 0.3359, + "step": 459 + }, + { + "epoch": 1.6, + "learning_rate": 9.733656174334142e-06, + "loss": 0.3403, + "step": 460 + }, + { + "epoch": 1.61, + "learning_rate": 9.709443099273608e-06, + "loss": 0.3462, + "step": 461 + }, + { + "epoch": 1.61, + "learning_rate": 9.685230024213076e-06, + "loss": 0.3335, + "step": 462 + }, + { + "epoch": 1.61, + "learning_rate": 9.661016949152544e-06, + "loss": 0.3516, + "step": 463 + }, + { + "epoch": 1.62, + "learning_rate": 9.63680387409201e-06, + "loss": 0.3638, + "step": 464 + }, + { + "epoch": 1.62, + "learning_rate": 9.612590799031478e-06, + "loss": 0.3364, + "step": 465 + }, + { + "epoch": 1.62, + "learning_rate": 9.588377723970946e-06, + "loss": 0.3364, + "step": 466 + }, + { + "epoch": 1.63, + "learning_rate": 9.564164648910412e-06, + "loss": 0.3496, + "step": 467 + }, + { + "epoch": 1.63, + "learning_rate": 9.53995157384988e-06, + "loss": 0.3403, + "step": 468 + }, + { + "epoch": 1.63, + "learning_rate": 9.515738498789347e-06, + "loss": 0.3481, + "step": 469 + }, + { + "epoch": 1.64, + "learning_rate": 9.491525423728815e-06, + "loss": 0.3374, + "step": 470 + }, + { + "epoch": 1.64, + "learning_rate": 9.467312348668281e-06, + "loss": 0.3174, + "step": 471 + }, + { + "epoch": 1.64, + "learning_rate": 9.44309927360775e-06, + "loss": 0.3633, + "step": 472 + }, + { + "epoch": 1.65, + "learning_rate": 9.418886198547215e-06, + "loss": 0.3472, + "step": 473 + }, + { + "epoch": 1.65, + "learning_rate": 9.394673123486683e-06, + "loss": 0.3379, + "step": 474 + }, + { + "epoch": 1.66, + "learning_rate": 9.370460048426151e-06, + "loss": 0.3428, + "step": 475 + }, + { + "epoch": 1.66, + "learning_rate": 9.346246973365619e-06, + "loss": 0.3369, + "step": 476 + }, + { + "epoch": 1.66, + "learning_rate": 9.322033898305085e-06, + "loss": 0.354, + "step": 477 + }, + { + "epoch": 1.67, + "learning_rate": 9.297820823244553e-06, + "loss": 0.3467, + "step": 478 + }, + { + "epoch": 1.67, + "learning_rate": 9.27360774818402e-06, + "loss": 0.3379, + "step": 479 + }, + { + "epoch": 1.67, + "learning_rate": 9.249394673123487e-06, + "loss": 0.3584, + "step": 480 + }, + { + "epoch": 1.68, + "learning_rate": 9.225181598062955e-06, + "loss": 0.3335, + "step": 481 + }, + { + "epoch": 1.68, + "learning_rate": 9.200968523002422e-06, + "loss": 0.3247, + "step": 482 + }, + { + "epoch": 1.68, + "learning_rate": 9.17675544794189e-06, + "loss": 0.3403, + "step": 483 + }, + { + "epoch": 1.69, + "learning_rate": 9.152542372881356e-06, + "loss": 0.3442, + "step": 484 + }, + { + "epoch": 1.69, + "learning_rate": 9.128329297820824e-06, + "loss": 0.334, + "step": 485 + }, + { + "epoch": 1.69, + "learning_rate": 9.10411622276029e-06, + "loss": 0.3369, + "step": 486 + }, + { + "epoch": 1.7, + "learning_rate": 9.079903147699758e-06, + "loss": 0.3496, + "step": 487 + }, + { + "epoch": 1.7, + "learning_rate": 9.055690072639226e-06, + "loss": 0.3477, + "step": 488 + }, + { + "epoch": 1.7, + "learning_rate": 9.031476997578694e-06, + "loss": 0.3447, + "step": 489 + }, + { + "epoch": 1.71, + "learning_rate": 9.00726392251816e-06, + "loss": 0.3286, + "step": 490 + }, + { + "epoch": 1.71, + "learning_rate": 8.983050847457628e-06, + "loss": 0.3306, + "step": 491 + }, + { + "epoch": 1.71, + "learning_rate": 8.958837772397096e-06, + "loss": 0.3379, + "step": 492 + }, + { + "epoch": 1.72, + "learning_rate": 8.934624697336562e-06, + "loss": 0.3257, + "step": 493 + }, + { + "epoch": 1.72, + "learning_rate": 8.91041162227603e-06, + "loss": 0.3447, + "step": 494 + }, + { + "epoch": 1.72, + "learning_rate": 8.886198547215496e-06, + "loss": 0.3237, + "step": 495 + }, + { + "epoch": 1.73, + "learning_rate": 8.861985472154965e-06, + "loss": 0.3296, + "step": 496 + }, + { + "epoch": 1.73, + "learning_rate": 8.837772397094432e-06, + "loss": 0.3452, + "step": 497 + }, + { + "epoch": 1.74, + "learning_rate": 8.8135593220339e-06, + "loss": 0.3257, + "step": 498 + }, + { + "epoch": 1.74, + "learning_rate": 8.789346246973365e-06, + "loss": 0.353, + "step": 499 + }, + { + "epoch": 1.74, + "learning_rate": 8.765133171912833e-06, + "loss": 0.3345, + "step": 500 + }, + { + "epoch": 1.75, + "learning_rate": 8.740920096852301e-06, + "loss": 0.3374, + "step": 501 + }, + { + "epoch": 1.75, + "learning_rate": 8.716707021791769e-06, + "loss": 0.3418, + "step": 502 + }, + { + "epoch": 1.75, + "learning_rate": 8.692493946731235e-06, + "loss": 0.3481, + "step": 503 + }, + { + "epoch": 1.76, + "learning_rate": 8.668280871670703e-06, + "loss": 0.3389, + "step": 504 + }, + { + "epoch": 1.76, + "learning_rate": 8.64406779661017e-06, + "loss": 0.3413, + "step": 505 + }, + { + "epoch": 1.76, + "learning_rate": 8.619854721549637e-06, + "loss": 0.3438, + "step": 506 + }, + { + "epoch": 1.77, + "learning_rate": 8.595641646489105e-06, + "loss": 0.332, + "step": 507 + }, + { + "epoch": 1.77, + "learning_rate": 8.571428571428571e-06, + "loss": 0.3687, + "step": 508 + }, + { + "epoch": 1.77, + "learning_rate": 8.54721549636804e-06, + "loss": 0.3315, + "step": 509 + }, + { + "epoch": 1.78, + "learning_rate": 8.523002421307507e-06, + "loss": 0.3442, + "step": 510 + }, + { + "epoch": 1.78, + "learning_rate": 8.498789346246974e-06, + "loss": 0.3467, + "step": 511 + }, + { + "epoch": 1.78, + "learning_rate": 8.47457627118644e-06, + "loss": 0.3325, + "step": 512 + }, + { + "epoch": 1.79, + "learning_rate": 8.450363196125908e-06, + "loss": 0.3213, + "step": 513 + }, + { + "epoch": 1.79, + "learning_rate": 8.426150121065376e-06, + "loss": 0.3325, + "step": 514 + }, + { + "epoch": 1.79, + "learning_rate": 8.401937046004844e-06, + "loss": 0.334, + "step": 515 + }, + { + "epoch": 1.8, + "learning_rate": 8.37772397094431e-06, + "loss": 0.3418, + "step": 516 + }, + { + "epoch": 1.8, + "learning_rate": 8.353510895883778e-06, + "loss": 0.3311, + "step": 517 + }, + { + "epoch": 1.8, + "learning_rate": 8.329297820823246e-06, + "loss": 0.3394, + "step": 518 + }, + { + "epoch": 1.81, + "learning_rate": 8.305084745762712e-06, + "loss": 0.3306, + "step": 519 + }, + { + "epoch": 1.81, + "learning_rate": 8.28087167070218e-06, + "loss": 0.3506, + "step": 520 + }, + { + "epoch": 1.82, + "learning_rate": 8.256658595641646e-06, + "loss": 0.3291, + "step": 521 + }, + { + "epoch": 1.82, + "learning_rate": 8.232445520581116e-06, + "loss": 0.353, + "step": 522 + }, + { + "epoch": 1.82, + "learning_rate": 8.208232445520582e-06, + "loss": 0.354, + "step": 523 + }, + { + "epoch": 1.83, + "learning_rate": 8.18401937046005e-06, + "loss": 0.3364, + "step": 524 + }, + { + "epoch": 1.83, + "learning_rate": 8.159806295399516e-06, + "loss": 0.3394, + "step": 525 + }, + { + "epoch": 1.83, + "learning_rate": 8.135593220338983e-06, + "loss": 0.3457, + "step": 526 + }, + { + "epoch": 1.84, + "learning_rate": 8.111380145278451e-06, + "loss": 0.3296, + "step": 527 + }, + { + "epoch": 1.84, + "learning_rate": 8.08716707021792e-06, + "loss": 0.3569, + "step": 528 + }, + { + "epoch": 1.84, + "learning_rate": 8.062953995157385e-06, + "loss": 0.3389, + "step": 529 + }, + { + "epoch": 1.85, + "learning_rate": 8.038740920096853e-06, + "loss": 0.3394, + "step": 530 + }, + { + "epoch": 1.85, + "learning_rate": 8.014527845036321e-06, + "loss": 0.3364, + "step": 531 + }, + { + "epoch": 1.85, + "learning_rate": 7.990314769975787e-06, + "loss": 0.3467, + "step": 532 + }, + { + "epoch": 1.86, + "learning_rate": 7.966101694915255e-06, + "loss": 0.3462, + "step": 533 + }, + { + "epoch": 1.86, + "learning_rate": 7.941888619854721e-06, + "loss": 0.334, + "step": 534 + }, + { + "epoch": 1.86, + "learning_rate": 7.91767554479419e-06, + "loss": 0.3501, + "step": 535 + }, + { + "epoch": 1.87, + "learning_rate": 7.893462469733657e-06, + "loss": 0.3296, + "step": 536 + }, + { + "epoch": 1.87, + "learning_rate": 7.869249394673125e-06, + "loss": 0.3438, + "step": 537 + }, + { + "epoch": 1.87, + "learning_rate": 7.84503631961259e-06, + "loss": 0.3306, + "step": 538 + }, + { + "epoch": 1.88, + "learning_rate": 7.820823244552059e-06, + "loss": 0.3491, + "step": 539 + }, + { + "epoch": 1.88, + "learning_rate": 7.796610169491526e-06, + "loss": 0.3286, + "step": 540 + }, + { + "epoch": 1.89, + "learning_rate": 7.772397094430994e-06, + "loss": 0.356, + "step": 541 + }, + { + "epoch": 1.89, + "learning_rate": 7.74818401937046e-06, + "loss": 0.3535, + "step": 542 + }, + { + "epoch": 1.89, + "learning_rate": 7.723970944309928e-06, + "loss": 0.3345, + "step": 543 + }, + { + "epoch": 1.9, + "learning_rate": 7.699757869249396e-06, + "loss": 0.3398, + "step": 544 + }, + { + "epoch": 1.9, + "learning_rate": 7.675544794188862e-06, + "loss": 0.3296, + "step": 545 + }, + { + "epoch": 1.9, + "learning_rate": 7.65133171912833e-06, + "loss": 0.3496, + "step": 546 + }, + { + "epoch": 1.91, + "learning_rate": 7.627118644067797e-06, + "loss": 0.3301, + "step": 547 + }, + { + "epoch": 1.91, + "learning_rate": 7.602905569007265e-06, + "loss": 0.3574, + "step": 548 + }, + { + "epoch": 1.91, + "learning_rate": 7.578692493946732e-06, + "loss": 0.3418, + "step": 549 + }, + { + "epoch": 1.92, + "learning_rate": 7.554479418886199e-06, + "loss": 0.3398, + "step": 550 + }, + { + "epoch": 1.92, + "learning_rate": 7.530266343825666e-06, + "loss": 0.354, + "step": 551 + }, + { + "epoch": 1.92, + "learning_rate": 7.506053268765134e-06, + "loss": 0.3247, + "step": 552 + }, + { + "epoch": 1.93, + "learning_rate": 7.4818401937046015e-06, + "loss": 0.353, + "step": 553 + }, + { + "epoch": 1.93, + "learning_rate": 7.4576271186440685e-06, + "loss": 0.3359, + "step": 554 + }, + { + "epoch": 1.93, + "learning_rate": 7.4334140435835355e-06, + "loss": 0.3535, + "step": 555 + }, + { + "epoch": 1.94, + "learning_rate": 7.4092009685230025e-06, + "loss": 0.3276, + "step": 556 + }, + { + "epoch": 1.94, + "learning_rate": 7.384987893462471e-06, + "loss": 0.3457, + "step": 557 + }, + { + "epoch": 1.94, + "learning_rate": 7.360774818401938e-06, + "loss": 0.3423, + "step": 558 + }, + { + "epoch": 1.95, + "learning_rate": 7.336561743341405e-06, + "loss": 0.3408, + "step": 559 + }, + { + "epoch": 1.95, + "learning_rate": 7.312348668280872e-06, + "loss": 0.3467, + "step": 560 + }, + { + "epoch": 1.95, + "learning_rate": 7.288135593220339e-06, + "loss": 0.3291, + "step": 561 + }, + { + "epoch": 1.96, + "learning_rate": 7.263922518159807e-06, + "loss": 0.3423, + "step": 562 + }, + { + "epoch": 1.96, + "learning_rate": 7.239709443099274e-06, + "loss": 0.3325, + "step": 563 + }, + { + "epoch": 1.97, + "learning_rate": 7.215496368038741e-06, + "loss": 0.3413, + "step": 564 + }, + { + "epoch": 1.97, + "learning_rate": 7.191283292978209e-06, + "loss": 0.3472, + "step": 565 + }, + { + "epoch": 1.97, + "learning_rate": 7.1670702179176766e-06, + "loss": 0.3462, + "step": 566 + }, + { + "epoch": 1.98, + "learning_rate": 7.1428571428571436e-06, + "loss": 0.3394, + "step": 567 + }, + { + "epoch": 1.98, + "learning_rate": 7.1186440677966106e-06, + "loss": 0.3315, + "step": 568 + }, + { + "epoch": 1.98, + "learning_rate": 7.0944309927360775e-06, + "loss": 0.3496, + "step": 569 + }, + { + "epoch": 1.99, + "learning_rate": 7.070217917675546e-06, + "loss": 0.3638, + "step": 570 + }, + { + "epoch": 1.99, + "learning_rate": 7.046004842615013e-06, + "loss": 0.3408, + "step": 571 + }, + { + "epoch": 1.99, + "learning_rate": 7.02179176755448e-06, + "loss": 0.3457, + "step": 572 + }, + { + "epoch": 2.0, + "learning_rate": 6.997578692493947e-06, + "loss": 0.3374, + "step": 573 + }, + { + "epoch": 2.0, + "learning_rate": 6.973365617433414e-06, + "loss": 0.2184, + "step": 574 + }, + { + "epoch": 2.0, + "learning_rate": 6.949152542372882e-06, + "loss": 0.1985, + "step": 575 + }, + { + "epoch": 2.01, + "learning_rate": 6.924939467312349e-06, + "loss": 0.2029, + "step": 576 + }, + { + "epoch": 2.01, + "learning_rate": 6.900726392251816e-06, + "loss": 0.1963, + "step": 577 + }, + { + "epoch": 2.01, + "learning_rate": 6.876513317191284e-06, + "loss": 0.2009, + "step": 578 + }, + { + "epoch": 2.02, + "learning_rate": 6.852300242130752e-06, + "loss": 0.1885, + "step": 579 + }, + { + "epoch": 2.02, + "learning_rate": 6.828087167070219e-06, + "loss": 0.1909, + "step": 580 + }, + { + "epoch": 2.02, + "learning_rate": 6.803874092009686e-06, + "loss": 0.1858, + "step": 581 + }, + { + "epoch": 2.03, + "learning_rate": 6.779661016949153e-06, + "loss": 0.1929, + "step": 582 + }, + { + "epoch": 2.03, + "learning_rate": 6.75544794188862e-06, + "loss": 0.1863, + "step": 583 + }, + { + "epoch": 2.03, + "learning_rate": 6.731234866828088e-06, + "loss": 0.1941, + "step": 584 + }, + { + "epoch": 2.04, + "learning_rate": 6.707021791767555e-06, + "loss": 0.1946, + "step": 585 + }, + { + "epoch": 2.04, + "learning_rate": 6.682808716707022e-06, + "loss": 0.198, + "step": 586 + }, + { + "epoch": 2.05, + "learning_rate": 6.658595641646489e-06, + "loss": 0.1833, + "step": 587 + }, + { + "epoch": 2.05, + "learning_rate": 6.634382566585957e-06, + "loss": 0.1975, + "step": 588 + }, + { + "epoch": 2.05, + "learning_rate": 6.610169491525424e-06, + "loss": 0.1831, + "step": 589 + }, + { + "epoch": 2.06, + "learning_rate": 6.585956416464891e-06, + "loss": 0.1826, + "step": 590 + }, + { + "epoch": 2.06, + "learning_rate": 6.561743341404359e-06, + "loss": 0.188, + "step": 591 + }, + { + "epoch": 2.06, + "learning_rate": 6.537530266343827e-06, + "loss": 0.1812, + "step": 592 + }, + { + "epoch": 2.07, + "learning_rate": 6.513317191283294e-06, + "loss": 0.1882, + "step": 593 + }, + { + "epoch": 2.07, + "learning_rate": 6.489104116222761e-06, + "loss": 0.1992, + "step": 594 + }, + { + "epoch": 2.07, + "learning_rate": 6.464891041162228e-06, + "loss": 0.1919, + "step": 595 + }, + { + "epoch": 2.08, + "learning_rate": 6.440677966101695e-06, + "loss": 0.1775, + "step": 596 + }, + { + "epoch": 2.08, + "learning_rate": 6.416464891041163e-06, + "loss": 0.1812, + "step": 597 + }, + { + "epoch": 2.08, + "learning_rate": 6.39225181598063e-06, + "loss": 0.1824, + "step": 598 + }, + { + "epoch": 2.09, + "learning_rate": 6.368038740920097e-06, + "loss": 0.1648, + "step": 599 + }, + { + "epoch": 2.09, + "learning_rate": 6.343825665859564e-06, + "loss": 0.1882, + "step": 600 + }, + { + "epoch": 2.09, + "learning_rate": 6.319612590799032e-06, + "loss": 0.1824, + "step": 601 + }, + { + "epoch": 2.1, + "learning_rate": 6.295399515738499e-06, + "loss": 0.179, + "step": 602 + }, + { + "epoch": 2.1, + "learning_rate": 6.271186440677966e-06, + "loss": 0.1785, + "step": 603 + }, + { + "epoch": 2.1, + "learning_rate": 6.246973365617434e-06, + "loss": 0.1843, + "step": 604 + }, + { + "epoch": 2.11, + "learning_rate": 6.222760290556902e-06, + "loss": 0.1995, + "step": 605 + }, + { + "epoch": 2.11, + "learning_rate": 6.198547215496369e-06, + "loss": 0.179, + "step": 606 + }, + { + "epoch": 2.11, + "learning_rate": 6.174334140435836e-06, + "loss": 0.1758, + "step": 607 + }, + { + "epoch": 2.12, + "learning_rate": 6.150121065375303e-06, + "loss": 0.1804, + "step": 608 + }, + { + "epoch": 2.12, + "learning_rate": 6.12590799031477e-06, + "loss": 0.1895, + "step": 609 + }, + { + "epoch": 2.13, + "learning_rate": 6.1016949152542385e-06, + "loss": 0.1841, + "step": 610 + }, + { + "epoch": 2.13, + "learning_rate": 6.0774818401937055e-06, + "loss": 0.1719, + "step": 611 + }, + { + "epoch": 2.13, + "learning_rate": 6.0532687651331724e-06, + "loss": 0.1838, + "step": 612 + }, + { + "epoch": 2.14, + "learning_rate": 6.0290556900726394e-06, + "loss": 0.179, + "step": 613 + }, + { + "epoch": 2.14, + "learning_rate": 6.004842615012107e-06, + "loss": 0.1711, + "step": 614 + }, + { + "epoch": 2.14, + "learning_rate": 5.980629539951574e-06, + "loss": 0.1777, + "step": 615 + }, + { + "epoch": 2.15, + "learning_rate": 5.956416464891041e-06, + "loss": 0.1643, + "step": 616 + }, + { + "epoch": 2.15, + "learning_rate": 5.932203389830509e-06, + "loss": 0.177, + "step": 617 + }, + { + "epoch": 2.15, + "learning_rate": 5.907990314769976e-06, + "loss": 0.1804, + "step": 618 + }, + { + "epoch": 2.16, + "learning_rate": 5.883777239709444e-06, + "loss": 0.187, + "step": 619 + }, + { + "epoch": 2.16, + "learning_rate": 5.859564164648911e-06, + "loss": 0.1609, + "step": 620 + }, + { + "epoch": 2.16, + "learning_rate": 5.835351089588378e-06, + "loss": 0.1819, + "step": 621 + }, + { + "epoch": 2.17, + "learning_rate": 5.811138014527845e-06, + "loss": 0.1743, + "step": 622 + }, + { + "epoch": 2.17, + "learning_rate": 5.7869249394673135e-06, + "loss": 0.1711, + "step": 623 + }, + { + "epoch": 2.17, + "learning_rate": 5.7627118644067805e-06, + "loss": 0.1799, + "step": 624 + }, + { + "epoch": 2.18, + "learning_rate": 5.7384987893462475e-06, + "loss": 0.1843, + "step": 625 + }, + { + "epoch": 2.18, + "learning_rate": 5.7142857142857145e-06, + "loss": 0.1768, + "step": 626 + }, + { + "epoch": 2.18, + "learning_rate": 5.690072639225182e-06, + "loss": 0.1804, + "step": 627 + }, + { + "epoch": 2.19, + "learning_rate": 5.665859564164649e-06, + "loss": 0.1653, + "step": 628 + }, + { + "epoch": 2.19, + "learning_rate": 5.641646489104116e-06, + "loss": 0.1763, + "step": 629 + }, + { + "epoch": 2.2, + "learning_rate": 5.617433414043584e-06, + "loss": 0.1841, + "step": 630 + }, + { + "epoch": 2.2, + "learning_rate": 5.593220338983051e-06, + "loss": 0.1792, + "step": 631 + }, + { + "epoch": 2.2, + "learning_rate": 5.569007263922519e-06, + "loss": 0.1631, + "step": 632 + }, + { + "epoch": 2.21, + "learning_rate": 5.544794188861986e-06, + "loss": 0.178, + "step": 633 + }, + { + "epoch": 2.21, + "learning_rate": 5.520581113801453e-06, + "loss": 0.1785, + "step": 634 + }, + { + "epoch": 2.21, + "learning_rate": 5.49636803874092e-06, + "loss": 0.1682, + "step": 635 + }, + { + "epoch": 2.22, + "learning_rate": 5.472154963680389e-06, + "loss": 0.1768, + "step": 636 + }, + { + "epoch": 2.22, + "learning_rate": 5.447941888619856e-06, + "loss": 0.178, + "step": 637 + }, + { + "epoch": 2.22, + "learning_rate": 5.423728813559323e-06, + "loss": 0.1777, + "step": 638 + }, + { + "epoch": 2.23, + "learning_rate": 5.39951573849879e-06, + "loss": 0.176, + "step": 639 + }, + { + "epoch": 2.23, + "learning_rate": 5.375302663438257e-06, + "loss": 0.178, + "step": 640 + }, + { + "epoch": 2.23, + "learning_rate": 5.351089588377724e-06, + "loss": 0.1628, + "step": 641 + }, + { + "epoch": 2.24, + "learning_rate": 5.326876513317191e-06, + "loss": 0.1719, + "step": 642 + }, + { + "epoch": 2.24, + "learning_rate": 5.302663438256659e-06, + "loss": 0.1687, + "step": 643 + }, + { + "epoch": 2.24, + "learning_rate": 5.278450363196126e-06, + "loss": 0.1819, + "step": 644 + }, + { + "epoch": 2.25, + "learning_rate": 5.254237288135594e-06, + "loss": 0.1741, + "step": 645 + }, + { + "epoch": 2.25, + "learning_rate": 5.230024213075061e-06, + "loss": 0.168, + "step": 646 + }, + { + "epoch": 2.25, + "learning_rate": 5.205811138014528e-06, + "loss": 0.1782, + "step": 647 + }, + { + "epoch": 2.26, + "learning_rate": 5.181598062953995e-06, + "loss": 0.1829, + "step": 648 + }, + { + "epoch": 2.26, + "learning_rate": 5.157384987893464e-06, + "loss": 0.1807, + "step": 649 + }, + { + "epoch": 2.26, + "learning_rate": 5.133171912832931e-06, + "loss": 0.1775, + "step": 650 + }, + { + "epoch": 2.27, + "learning_rate": 5.108958837772398e-06, + "loss": 0.1865, + "step": 651 + }, + { + "epoch": 2.27, + "learning_rate": 5.084745762711865e-06, + "loss": 0.1792, + "step": 652 + }, + { + "epoch": 2.28, + "learning_rate": 5.060532687651332e-06, + "loss": 0.1807, + "step": 653 + }, + { + "epoch": 2.28, + "learning_rate": 5.0363196125907995e-06, + "loss": 0.1768, + "step": 654 + }, + { + "epoch": 2.28, + "learning_rate": 5.0121065375302665e-06, + "loss": 0.1714, + "step": 655 + }, + { + "epoch": 2.29, + "learning_rate": 4.987893462469734e-06, + "loss": 0.1758, + "step": 656 + }, + { + "epoch": 2.29, + "learning_rate": 4.963680387409201e-06, + "loss": 0.1794, + "step": 657 + }, + { + "epoch": 2.29, + "learning_rate": 4.939467312348668e-06, + "loss": 0.1794, + "step": 658 + }, + { + "epoch": 2.3, + "learning_rate": 4.915254237288136e-06, + "loss": 0.1677, + "step": 659 + }, + { + "epoch": 2.3, + "learning_rate": 4.891041162227603e-06, + "loss": 0.1672, + "step": 660 + }, + { + "epoch": 2.3, + "learning_rate": 4.866828087167071e-06, + "loss": 0.1807, + "step": 661 + }, + { + "epoch": 2.31, + "learning_rate": 4.842615012106538e-06, + "loss": 0.1731, + "step": 662 + }, + { + "epoch": 2.31, + "learning_rate": 4.818401937046005e-06, + "loss": 0.1721, + "step": 663 + }, + { + "epoch": 2.31, + "learning_rate": 4.794188861985473e-06, + "loss": 0.1724, + "step": 664 + }, + { + "epoch": 2.32, + "learning_rate": 4.76997578692494e-06, + "loss": 0.1711, + "step": 665 + }, + { + "epoch": 2.32, + "learning_rate": 4.745762711864408e-06, + "loss": 0.1826, + "step": 666 + }, + { + "epoch": 2.32, + "learning_rate": 4.721549636803875e-06, + "loss": 0.1907, + "step": 667 + }, + { + "epoch": 2.33, + "learning_rate": 4.6973365617433416e-06, + "loss": 0.1743, + "step": 668 + }, + { + "epoch": 2.33, + "learning_rate": 4.673123486682809e-06, + "loss": 0.1602, + "step": 669 + }, + { + "epoch": 2.33, + "learning_rate": 4.648910411622276e-06, + "loss": 0.1702, + "step": 670 + }, + { + "epoch": 2.34, + "learning_rate": 4.624697336561743e-06, + "loss": 0.1914, + "step": 671 + }, + { + "epoch": 2.34, + "learning_rate": 4.600484261501211e-06, + "loss": 0.1677, + "step": 672 + }, + { + "epoch": 2.34, + "learning_rate": 4.576271186440678e-06, + "loss": 0.1775, + "step": 673 + }, + { + "epoch": 2.35, + "learning_rate": 4.552058111380145e-06, + "loss": 0.1685, + "step": 674 + }, + { + "epoch": 2.35, + "learning_rate": 4.527845036319613e-06, + "loss": 0.1709, + "step": 675 + }, + { + "epoch": 2.36, + "learning_rate": 4.50363196125908e-06, + "loss": 0.1743, + "step": 676 + }, + { + "epoch": 2.36, + "learning_rate": 4.479418886198548e-06, + "loss": 0.1753, + "step": 677 + }, + { + "epoch": 2.36, + "learning_rate": 4.455205811138015e-06, + "loss": 0.1685, + "step": 678 + }, + { + "epoch": 2.37, + "learning_rate": 4.430992736077483e-06, + "loss": 0.1746, + "step": 679 + }, + { + "epoch": 2.37, + "learning_rate": 4.40677966101695e-06, + "loss": 0.1851, + "step": 680 + }, + { + "epoch": 2.37, + "learning_rate": 4.382566585956417e-06, + "loss": 0.179, + "step": 681 + }, + { + "epoch": 2.38, + "learning_rate": 4.3583535108958845e-06, + "loss": 0.1853, + "step": 682 + }, + { + "epoch": 2.38, + "learning_rate": 4.3341404358353515e-06, + "loss": 0.1721, + "step": 683 + }, + { + "epoch": 2.38, + "learning_rate": 4.3099273607748185e-06, + "loss": 0.1702, + "step": 684 + }, + { + "epoch": 2.39, + "learning_rate": 4.2857142857142855e-06, + "loss": 0.1636, + "step": 685 + }, + { + "epoch": 2.39, + "learning_rate": 4.261501210653753e-06, + "loss": 0.1816, + "step": 686 + }, + { + "epoch": 2.39, + "learning_rate": 4.23728813559322e-06, + "loss": 0.1741, + "step": 687 + }, + { + "epoch": 2.4, + "learning_rate": 4.213075060532688e-06, + "loss": 0.1765, + "step": 688 + }, + { + "epoch": 2.4, + "learning_rate": 4.188861985472155e-06, + "loss": 0.1731, + "step": 689 + }, + { + "epoch": 2.4, + "learning_rate": 4.164648910411623e-06, + "loss": 0.1782, + "step": 690 + }, + { + "epoch": 2.41, + "learning_rate": 4.14043583535109e-06, + "loss": 0.1709, + "step": 691 + }, + { + "epoch": 2.41, + "learning_rate": 4.116222760290558e-06, + "loss": 0.1758, + "step": 692 + }, + { + "epoch": 2.41, + "learning_rate": 4.092009685230025e-06, + "loss": 0.1719, + "step": 693 + }, + { + "epoch": 2.42, + "learning_rate": 4.067796610169492e-06, + "loss": 0.1741, + "step": 694 + }, + { + "epoch": 2.42, + "learning_rate": 4.04358353510896e-06, + "loss": 0.1731, + "step": 695 + }, + { + "epoch": 2.43, + "learning_rate": 4.0193704600484266e-06, + "loss": 0.1699, + "step": 696 + }, + { + "epoch": 2.43, + "learning_rate": 3.9951573849878936e-06, + "loss": 0.178, + "step": 697 + }, + { + "epoch": 2.43, + "learning_rate": 3.9709443099273605e-06, + "loss": 0.1807, + "step": 698 + }, + { + "epoch": 2.44, + "learning_rate": 3.946731234866828e-06, + "loss": 0.1711, + "step": 699 + }, + { + "epoch": 2.44, + "learning_rate": 3.922518159806295e-06, + "loss": 0.1765, + "step": 700 + }, + { + "epoch": 2.44, + "learning_rate": 3.898305084745763e-06, + "loss": 0.1743, + "step": 701 + }, + { + "epoch": 2.45, + "learning_rate": 3.87409200968523e-06, + "loss": 0.1719, + "step": 702 + }, + { + "epoch": 2.45, + "learning_rate": 3.849878934624698e-06, + "loss": 0.175, + "step": 703 + }, + { + "epoch": 2.45, + "learning_rate": 3.825665859564165e-06, + "loss": 0.1816, + "step": 704 + }, + { + "epoch": 2.46, + "learning_rate": 3.8014527845036324e-06, + "loss": 0.165, + "step": 705 + }, + { + "epoch": 2.46, + "learning_rate": 3.7772397094430994e-06, + "loss": 0.177, + "step": 706 + }, + { + "epoch": 2.46, + "learning_rate": 3.753026634382567e-06, + "loss": 0.1829, + "step": 707 + }, + { + "epoch": 2.47, + "learning_rate": 3.7288135593220342e-06, + "loss": 0.179, + "step": 708 + }, + { + "epoch": 2.47, + "learning_rate": 3.7046004842615012e-06, + "loss": 0.177, + "step": 709 + }, + { + "epoch": 2.47, + "learning_rate": 3.680387409200969e-06, + "loss": 0.1821, + "step": 710 + }, + { + "epoch": 2.48, + "learning_rate": 3.656174334140436e-06, + "loss": 0.1733, + "step": 711 + }, + { + "epoch": 2.48, + "learning_rate": 3.6319612590799035e-06, + "loss": 0.1792, + "step": 712 + }, + { + "epoch": 2.48, + "learning_rate": 3.6077481840193705e-06, + "loss": 0.1785, + "step": 713 + }, + { + "epoch": 2.49, + "learning_rate": 3.5835351089588383e-06, + "loss": 0.1638, + "step": 714 + }, + { + "epoch": 2.49, + "learning_rate": 3.5593220338983053e-06, + "loss": 0.1643, + "step": 715 + }, + { + "epoch": 2.49, + "learning_rate": 3.535108958837773e-06, + "loss": 0.1775, + "step": 716 + }, + { + "epoch": 2.5, + "learning_rate": 3.51089588377724e-06, + "loss": 0.1614, + "step": 717 + }, + { + "epoch": 2.5, + "learning_rate": 3.486682808716707e-06, + "loss": 0.186, + "step": 718 + }, + { + "epoch": 2.51, + "learning_rate": 3.4624697336561745e-06, + "loss": 0.1772, + "step": 719 + }, + { + "epoch": 2.51, + "learning_rate": 3.438256658595642e-06, + "loss": 0.1729, + "step": 720 + }, + { + "epoch": 2.51, + "learning_rate": 3.4140435835351093e-06, + "loss": 0.176, + "step": 721 + }, + { + "epoch": 2.52, + "learning_rate": 3.3898305084745763e-06, + "loss": 0.1738, + "step": 722 + }, + { + "epoch": 2.52, + "learning_rate": 3.365617433414044e-06, + "loss": 0.1626, + "step": 723 + }, + { + "epoch": 2.52, + "learning_rate": 3.341404358353511e-06, + "loss": 0.1792, + "step": 724 + }, + { + "epoch": 2.53, + "learning_rate": 3.3171912832929785e-06, + "loss": 0.1621, + "step": 725 + }, + { + "epoch": 2.53, + "learning_rate": 3.2929782082324455e-06, + "loss": 0.1802, + "step": 726 + }, + { + "epoch": 2.53, + "learning_rate": 3.2687651331719134e-06, + "loss": 0.1675, + "step": 727 + }, + { + "epoch": 2.54, + "learning_rate": 3.2445520581113804e-06, + "loss": 0.1729, + "step": 728 + }, + { + "epoch": 2.54, + "learning_rate": 3.2203389830508473e-06, + "loss": 0.1748, + "step": 729 + }, + { + "epoch": 2.54, + "learning_rate": 3.196125907990315e-06, + "loss": 0.1716, + "step": 730 + }, + { + "epoch": 2.55, + "learning_rate": 3.171912832929782e-06, + "loss": 0.1699, + "step": 731 + }, + { + "epoch": 2.55, + "learning_rate": 3.1476997578692496e-06, + "loss": 0.1841, + "step": 732 + }, + { + "epoch": 2.55, + "learning_rate": 3.123486682808717e-06, + "loss": 0.1943, + "step": 733 + }, + { + "epoch": 2.56, + "learning_rate": 3.0992736077481844e-06, + "loss": 0.1865, + "step": 734 + }, + { + "epoch": 2.56, + "learning_rate": 3.0750605326876514e-06, + "loss": 0.168, + "step": 735 + }, + { + "epoch": 2.56, + "learning_rate": 3.0508474576271192e-06, + "loss": 0.1768, + "step": 736 + }, + { + "epoch": 2.57, + "learning_rate": 3.0266343825665862e-06, + "loss": 0.1689, + "step": 737 + }, + { + "epoch": 2.57, + "learning_rate": 3.0024213075060536e-06, + "loss": 0.1753, + "step": 738 + }, + { + "epoch": 2.57, + "learning_rate": 2.9782082324455206e-06, + "loss": 0.1672, + "step": 739 + }, + { + "epoch": 2.58, + "learning_rate": 2.953995157384988e-06, + "loss": 0.1831, + "step": 740 + }, + { + "epoch": 2.58, + "learning_rate": 2.9297820823244554e-06, + "loss": 0.1697, + "step": 741 + }, + { + "epoch": 2.59, + "learning_rate": 2.9055690072639224e-06, + "loss": 0.1626, + "step": 742 + }, + { + "epoch": 2.59, + "learning_rate": 2.8813559322033903e-06, + "loss": 0.176, + "step": 743 + }, + { + "epoch": 2.59, + "learning_rate": 2.8571428571428573e-06, + "loss": 0.1785, + "step": 744 + }, + { + "epoch": 2.6, + "learning_rate": 2.8329297820823247e-06, + "loss": 0.1716, + "step": 745 + }, + { + "epoch": 2.6, + "learning_rate": 2.808716707021792e-06, + "loss": 0.1831, + "step": 746 + }, + { + "epoch": 2.6, + "learning_rate": 2.7845036319612595e-06, + "loss": 0.1721, + "step": 747 + }, + { + "epoch": 2.61, + "learning_rate": 2.7602905569007265e-06, + "loss": 0.1829, + "step": 748 + }, + { + "epoch": 2.61, + "learning_rate": 2.7360774818401943e-06, + "loss": 0.167, + "step": 749 + }, + { + "epoch": 2.61, + "learning_rate": 2.7118644067796613e-06, + "loss": 0.1804, + "step": 750 + }, + { + "epoch": 2.62, + "learning_rate": 2.6876513317191283e-06, + "loss": 0.179, + "step": 751 + }, + { + "epoch": 2.62, + "learning_rate": 2.6634382566585957e-06, + "loss": 0.1851, + "step": 752 + }, + { + "epoch": 2.62, + "learning_rate": 2.639225181598063e-06, + "loss": 0.1699, + "step": 753 + }, + { + "epoch": 2.63, + "learning_rate": 2.6150121065375305e-06, + "loss": 0.1743, + "step": 754 + }, + { + "epoch": 2.63, + "learning_rate": 2.5907990314769975e-06, + "loss": 0.1763, + "step": 755 + }, + { + "epoch": 2.63, + "learning_rate": 2.5665859564164654e-06, + "loss": 0.1719, + "step": 756 + }, + { + "epoch": 2.64, + "learning_rate": 2.5423728813559323e-06, + "loss": 0.1743, + "step": 757 + }, + { + "epoch": 2.64, + "learning_rate": 2.5181598062953998e-06, + "loss": 0.1714, + "step": 758 + }, + { + "epoch": 2.64, + "learning_rate": 2.493946731234867e-06, + "loss": 0.1689, + "step": 759 + }, + { + "epoch": 2.65, + "learning_rate": 2.469733656174334e-06, + "loss": 0.1753, + "step": 760 + }, + { + "epoch": 2.65, + "learning_rate": 2.4455205811138016e-06, + "loss": 0.1741, + "step": 761 + }, + { + "epoch": 2.66, + "learning_rate": 2.421307506053269e-06, + "loss": 0.1711, + "step": 762 + }, + { + "epoch": 2.66, + "learning_rate": 2.3970944309927364e-06, + "loss": 0.1692, + "step": 763 + }, + { + "epoch": 2.66, + "learning_rate": 2.372881355932204e-06, + "loss": 0.1692, + "step": 764 + }, + { + "epoch": 2.67, + "learning_rate": 2.3486682808716708e-06, + "loss": 0.1729, + "step": 765 + }, + { + "epoch": 2.67, + "learning_rate": 2.324455205811138e-06, + "loss": 0.1804, + "step": 766 + }, + { + "epoch": 2.67, + "learning_rate": 2.3002421307506056e-06, + "loss": 0.1729, + "step": 767 + }, + { + "epoch": 2.68, + "learning_rate": 2.2760290556900726e-06, + "loss": 0.1897, + "step": 768 + }, + { + "epoch": 2.68, + "learning_rate": 2.25181598062954e-06, + "loss": 0.1711, + "step": 769 + }, + { + "epoch": 2.68, + "learning_rate": 2.2276029055690074e-06, + "loss": 0.1726, + "step": 770 + }, + { + "epoch": 2.69, + "learning_rate": 2.203389830508475e-06, + "loss": 0.1794, + "step": 771 + }, + { + "epoch": 2.69, + "learning_rate": 2.1791767554479422e-06, + "loss": 0.1721, + "step": 772 + }, + { + "epoch": 2.69, + "learning_rate": 2.1549636803874092e-06, + "loss": 0.1624, + "step": 773 + }, + { + "epoch": 2.7, + "learning_rate": 2.1307506053268766e-06, + "loss": 0.187, + "step": 774 + }, + { + "epoch": 2.7, + "learning_rate": 2.106537530266344e-06, + "loss": 0.1794, + "step": 775 + }, + { + "epoch": 2.7, + "learning_rate": 2.0823244552058115e-06, + "loss": 0.1689, + "step": 776 + }, + { + "epoch": 2.71, + "learning_rate": 2.058111380145279e-06, + "loss": 0.1614, + "step": 777 + }, + { + "epoch": 2.71, + "learning_rate": 2.033898305084746e-06, + "loss": 0.1846, + "step": 778 + }, + { + "epoch": 2.71, + "learning_rate": 2.0096852300242133e-06, + "loss": 0.1611, + "step": 779 + }, + { + "epoch": 2.72, + "learning_rate": 1.9854721549636803e-06, + "loss": 0.1599, + "step": 780 + }, + { + "epoch": 2.72, + "learning_rate": 1.9612590799031477e-06, + "loss": 0.1733, + "step": 781 + }, + { + "epoch": 2.72, + "learning_rate": 1.937046004842615e-06, + "loss": 0.1794, + "step": 782 + }, + { + "epoch": 2.73, + "learning_rate": 1.9128329297820825e-06, + "loss": 0.1782, + "step": 783 + }, + { + "epoch": 2.73, + "learning_rate": 1.8886198547215497e-06, + "loss": 0.1658, + "step": 784 + }, + { + "epoch": 2.74, + "learning_rate": 1.8644067796610171e-06, + "loss": 0.179, + "step": 785 + }, + { + "epoch": 2.74, + "learning_rate": 1.8401937046004845e-06, + "loss": 0.1738, + "step": 786 + }, + { + "epoch": 2.74, + "learning_rate": 1.8159806295399517e-06, + "loss": 0.1575, + "step": 787 + }, + { + "epoch": 2.75, + "learning_rate": 1.7917675544794191e-06, + "loss": 0.1677, + "step": 788 + }, + { + "epoch": 2.75, + "learning_rate": 1.7675544794188866e-06, + "loss": 0.1699, + "step": 789 + }, + { + "epoch": 2.75, + "learning_rate": 1.7433414043583535e-06, + "loss": 0.177, + "step": 790 + }, + { + "epoch": 2.76, + "learning_rate": 1.719128329297821e-06, + "loss": 0.1982, + "step": 791 + }, + { + "epoch": 2.76, + "learning_rate": 1.6949152542372882e-06, + "loss": 0.1599, + "step": 792 + }, + { + "epoch": 2.76, + "learning_rate": 1.6707021791767556e-06, + "loss": 0.1724, + "step": 793 + }, + { + "epoch": 2.77, + "learning_rate": 1.6464891041162228e-06, + "loss": 0.1694, + "step": 794 + }, + { + "epoch": 2.77, + "learning_rate": 1.6222760290556902e-06, + "loss": 0.1733, + "step": 795 + }, + { + "epoch": 2.77, + "learning_rate": 1.5980629539951576e-06, + "loss": 0.1582, + "step": 796 + }, + { + "epoch": 2.78, + "learning_rate": 1.5738498789346248e-06, + "loss": 0.1714, + "step": 797 + }, + { + "epoch": 2.78, + "learning_rate": 1.5496368038740922e-06, + "loss": 0.177, + "step": 798 + }, + { + "epoch": 2.78, + "learning_rate": 1.5254237288135596e-06, + "loss": 0.1763, + "step": 799 + }, + { + "epoch": 2.79, + "learning_rate": 1.5012106537530268e-06, + "loss": 0.1807, + "step": 800 + }, + { + "epoch": 2.79, + "learning_rate": 1.476997578692494e-06, + "loss": 0.1719, + "step": 801 + }, + { + "epoch": 2.79, + "learning_rate": 1.4527845036319612e-06, + "loss": 0.1707, + "step": 802 + }, + { + "epoch": 2.8, + "learning_rate": 1.4285714285714286e-06, + "loss": 0.1621, + "step": 803 + }, + { + "epoch": 2.8, + "learning_rate": 1.404358353510896e-06, + "loss": 0.1653, + "step": 804 + }, + { + "epoch": 2.8, + "learning_rate": 1.3801452784503632e-06, + "loss": 0.1653, + "step": 805 + }, + { + "epoch": 2.81, + "learning_rate": 1.3559322033898307e-06, + "loss": 0.1692, + "step": 806 + }, + { + "epoch": 2.81, + "learning_rate": 1.3317191283292979e-06, + "loss": 0.1707, + "step": 807 + }, + { + "epoch": 2.82, + "learning_rate": 1.3075060532687653e-06, + "loss": 0.1621, + "step": 808 + }, + { + "epoch": 2.82, + "learning_rate": 1.2832929782082327e-06, + "loss": 0.177, + "step": 809 + }, + { + "epoch": 2.82, + "learning_rate": 1.2590799031476999e-06, + "loss": 0.178, + "step": 810 + }, + { + "epoch": 2.83, + "learning_rate": 1.234866828087167e-06, + "loss": 0.1724, + "step": 811 + }, + { + "epoch": 2.83, + "learning_rate": 1.2106537530266345e-06, + "loss": 0.1655, + "step": 812 + }, + { + "epoch": 2.83, + "learning_rate": 1.186440677966102e-06, + "loss": 0.1765, + "step": 813 + }, + { + "epoch": 2.84, + "learning_rate": 1.162227602905569e-06, + "loss": 0.1646, + "step": 814 + }, + { + "epoch": 2.84, + "learning_rate": 1.1380145278450363e-06, + "loss": 0.1753, + "step": 815 + }, + { + "epoch": 2.84, + "learning_rate": 1.1138014527845037e-06, + "loss": 0.1799, + "step": 816 + }, + { + "epoch": 2.85, + "learning_rate": 1.0895883777239711e-06, + "loss": 0.1743, + "step": 817 + }, + { + "epoch": 2.85, + "learning_rate": 1.0653753026634383e-06, + "loss": 0.1768, + "step": 818 + }, + { + "epoch": 2.85, + "learning_rate": 1.0411622276029057e-06, + "loss": 0.1785, + "step": 819 + }, + { + "epoch": 2.86, + "learning_rate": 1.016949152542373e-06, + "loss": 0.1675, + "step": 820 + }, + { + "epoch": 2.86, + "learning_rate": 9.927360774818401e-07, + "loss": 0.1743, + "step": 821 + }, + { + "epoch": 2.86, + "learning_rate": 9.685230024213075e-07, + "loss": 0.1704, + "step": 822 + }, + { + "epoch": 2.87, + "learning_rate": 9.443099273607749e-07, + "loss": 0.1687, + "step": 823 + }, + { + "epoch": 2.87, + "learning_rate": 9.200968523002423e-07, + "loss": 0.1741, + "step": 824 + }, + { + "epoch": 2.87, + "learning_rate": 8.958837772397096e-07, + "loss": 0.1777, + "step": 825 + }, + { + "epoch": 2.88, + "learning_rate": 8.716707021791768e-07, + "loss": 0.1643, + "step": 826 + }, + { + "epoch": 2.88, + "learning_rate": 8.474576271186441e-07, + "loss": 0.1763, + "step": 827 + }, + { + "epoch": 2.89, + "learning_rate": 8.232445520581114e-07, + "loss": 0.1816, + "step": 828 + }, + { + "epoch": 2.89, + "learning_rate": 7.990314769975788e-07, + "loss": 0.1699, + "step": 829 + }, + { + "epoch": 2.89, + "learning_rate": 7.748184019370461e-07, + "loss": 0.1619, + "step": 830 + }, + { + "epoch": 2.9, + "learning_rate": 7.506053268765134e-07, + "loss": 0.1753, + "step": 831 + }, + { + "epoch": 2.9, + "learning_rate": 7.263922518159806e-07, + "loss": 0.1685, + "step": 832 + }, + { + "epoch": 2.9, + "learning_rate": 7.02179176755448e-07, + "loss": 0.1716, + "step": 833 + }, + { + "epoch": 2.91, + "learning_rate": 6.779661016949153e-07, + "loss": 0.168, + "step": 834 + }, + { + "epoch": 2.91, + "learning_rate": 6.537530266343826e-07, + "loss": 0.1729, + "step": 835 + }, + { + "epoch": 2.91, + "learning_rate": 6.295399515738499e-07, + "loss": 0.1743, + "step": 836 + }, + { + "epoch": 2.92, + "learning_rate": 6.053268765133172e-07, + "loss": 0.1646, + "step": 837 + }, + { + "epoch": 2.92, + "learning_rate": 5.811138014527845e-07, + "loss": 0.1628, + "step": 838 + }, + { + "epoch": 2.92, + "learning_rate": 5.569007263922519e-07, + "loss": 0.1658, + "step": 839 + }, + { + "epoch": 2.93, + "learning_rate": 5.326876513317192e-07, + "loss": 0.1746, + "step": 840 + } + ], + "max_steps": 861, + "num_train_epochs": 3, + "total_flos": 819001106104320.0, + "trial_name": null, + "trial_params": null +}