Model save

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,58 @@
+---
+base_model: Qwen/Qwen2.5-0.5B-Instruct
+library_name: transformers
+model_name: Qwen2.5-0.5B-Open-R1-Distill
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Qwen2.5-0.5B-Open-R1-Distill
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="Qucy/Qwen2.5-0.5B-Open-R1-Distill", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/tracyqucy-hsbc/huggingface/runs/6xct5y2s) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.14.0
+- Transformers: 4.48.2
+- Pytorch: 2.5.1+cu121
+- Datasets: 3.2.0
+- Tokenizers: 0.21.0
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

added_tokens.json

@@ -0,0 +1,24 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

all_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9994447529150472,
+    "total_flos": 1.6624354892709888e+17,
+    "train_loss": 0.9221899901496039,
+    "train_runtime": 5284.4545,
+    "train_samples": 16610,
+    "train_samples_per_second": 4.089,
+    "train_steps_per_second": 0.128
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-0.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
+  "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.48.2",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}

generation_config.json

@@ -0,0 +1,14 @@
+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.48.2"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ae4d17d1f16e3896050fb1675f936e67bc981b9ef486837f21c5fef86f849655
+size 988097824

runs/Feb09_14-33-43_open-r1-dna/events.out.tfevents.1739111633.open-r1-dna

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0fd9543e3c41955147685505597046d62a9c51e34edbd0cd01ce3b3d67690564
+size 5902

special_tokens_map.json

@@ -0,0 +1,25 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<|im_end|>"
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

@@ -0,0 +1,208 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

train_results.json

@@ -0,0 +1,9 @@
+{
+    "epoch": 0.9994447529150472,
+    "total_flos": 1.6624354892709888e+17,
+    "train_loss": 0.9221899901496039,
+    "train_runtime": 5284.4545,
+    "train_samples": 16610,
+    "train_samples_per_second": 4.089,
+    "train_steps_per_second": 0.128
+}

trainer_state.json

@@ -0,0 +1,1035 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9994447529150472,
+  "eval_steps": 100,
+  "global_step": 675,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.007403294466037387,
+      "grad_norm": 0.6776805171272973,
+      "learning_rate": 1.4705882352941177e-06,
+      "loss": 1.2512,
+      "step": 5
+    },
+    {
+      "epoch": 0.014806588932074774,
+      "grad_norm": 0.44944873495655524,
+      "learning_rate": 2.9411764705882355e-06,
+      "loss": 1.2594,
+      "step": 10
+    },
+    {
+      "epoch": 0.02220988339811216,
+      "grad_norm": 0.34624498626136563,
+      "learning_rate": 4.411764705882353e-06,
+      "loss": 1.2327,
+      "step": 15
+    },
+    {
+      "epoch": 0.029613177864149548,
+      "grad_norm": 0.3384934751143345,
+      "learning_rate": 5.882352941176471e-06,
+      "loss": 1.1823,
+      "step": 20
+    },
+    {
+      "epoch": 0.037016472330186935,
+      "grad_norm": 0.2415385954324663,
+      "learning_rate": 7.352941176470589e-06,
+      "loss": 1.1483,
+      "step": 25
+    },
+    {
+      "epoch": 0.04441976679622432,
+      "grad_norm": 0.21956265650508958,
+      "learning_rate": 8.823529411764707e-06,
+      "loss": 1.1051,
+      "step": 30
+    },
+    {
+      "epoch": 0.05182306126226171,
+      "grad_norm": 0.18350394805421755,
+      "learning_rate": 1.0294117647058823e-05,
+      "loss": 1.0659,
+      "step": 35
+    },
+    {
+      "epoch": 0.059226355728299096,
+      "grad_norm": 0.16210146685861945,
+      "learning_rate": 1.1764705882352942e-05,
+      "loss": 1.0381,
+      "step": 40
+    },
+    {
+      "epoch": 0.06662965019433648,
+      "grad_norm": 0.1607004827826561,
+      "learning_rate": 1.323529411764706e-05,
+      "loss": 1.0217,
+      "step": 45
+    },
+    {
+      "epoch": 0.07403294466037387,
+      "grad_norm": 0.16745984502215897,
+      "learning_rate": 1.4705882352941179e-05,
+      "loss": 1.038,
+      "step": 50
+    },
+    {
+      "epoch": 0.08143623912641125,
+      "grad_norm": 0.14843663256682382,
+      "learning_rate": 1.6176470588235296e-05,
+      "loss": 1.0276,
+      "step": 55
+    },
+    {
+      "epoch": 0.08883953359244864,
+      "grad_norm": 0.17168834832578023,
+      "learning_rate": 1.7647058823529414e-05,
+      "loss": 1.0032,
+      "step": 60
+    },
+    {
+      "epoch": 0.09624282805848602,
+      "grad_norm": 0.15126385928527755,
+      "learning_rate": 1.911764705882353e-05,
+      "loss": 0.9954,
+      "step": 65
+    },
+    {
+      "epoch": 0.10364612252452342,
+      "grad_norm": 0.1688834438402727,
+      "learning_rate": 1.9999464266898485e-05,
+      "loss": 0.9919,
+      "step": 70
+    },
+    {
+      "epoch": 0.1110494169905608,
+      "grad_norm": 0.20449596627344765,
+      "learning_rate": 1.9993437928712977e-05,
+      "loss": 0.9839,
+      "step": 75
+    },
+    {
+      "epoch": 0.11845271145659819,
+      "grad_norm": 0.17590208096396392,
+      "learning_rate": 1.998071963486563e-05,
+      "loss": 0.9714,
+      "step": 80
+    },
+    {
+      "epoch": 0.12585600592263557,
+      "grad_norm": 0.14935660715610657,
+      "learning_rate": 1.9961317901970953e-05,
+      "loss": 0.9577,
+      "step": 85
+    },
+    {
+      "epoch": 0.13325930038867295,
+      "grad_norm": 0.1656804473286765,
+      "learning_rate": 1.993524572210807e-05,
+      "loss": 0.9607,
+      "step": 90
+    },
+    {
+      "epoch": 0.14066259485471036,
+      "grad_norm": 0.20165204812335902,
+      "learning_rate": 1.990252055412077e-05,
+      "loss": 0.9538,
+      "step": 95
+    },
+    {
+      "epoch": 0.14806588932074774,
+      "grad_norm": 0.1672105719290636,
+      "learning_rate": 1.9863164311926433e-05,
+      "loss": 0.9842,
+      "step": 100
+    },
+    {
+      "epoch": 0.14806588932074774,
+      "eval_loss": 0.9855244755744934,
+      "eval_runtime": 7.1036,
+      "eval_samples_per_second": 18.019,
+      "eval_steps_per_second": 2.252,
+      "step": 100
+    },
+    {
+      "epoch": 0.15546918378678512,
+      "grad_norm": 0.1594521756746442,
+      "learning_rate": 1.981720334984174e-05,
+      "loss": 0.9583,
+      "step": 105
+    },
+    {
+      "epoch": 0.1628724782528225,
+      "grad_norm": 0.17121067681141633,
+      "learning_rate": 1.9764668444934853e-05,
+      "loss": 0.9474,
+      "step": 110
+    },
+    {
+      "epoch": 0.17027577271885988,
+      "grad_norm": 0.15907478498991337,
+      "learning_rate": 1.970559477641606e-05,
+      "loss": 0.9207,
+      "step": 115
+    },
+    {
+      "epoch": 0.1776790671848973,
+      "grad_norm": 0.1606853101811812,
+      "learning_rate": 1.9640021902080523e-05,
+      "loss": 0.9532,
+      "step": 120
+    },
+    {
+      "epoch": 0.18508236165093467,
+      "grad_norm": 0.14842172195462983,
+      "learning_rate": 1.9567993731818988e-05,
+      "loss": 0.9512,
+      "step": 125
+    },
+    {
+      "epoch": 0.19248565611697205,
+      "grad_norm": 0.16039228542123013,
+      "learning_rate": 1.9489558498214197e-05,
+      "loss": 0.9443,
+      "step": 130
+    },
+    {
+      "epoch": 0.19988895058300943,
+      "grad_norm": 0.15683712656065646,
+      "learning_rate": 1.9404768724242667e-05,
+      "loss": 0.9257,
+      "step": 135
+    },
+    {
+      "epoch": 0.20729224504904684,
+      "grad_norm": 0.17249812910241194,
+      "learning_rate": 1.931368118810346e-05,
+      "loss": 0.9545,
+      "step": 140
+    },
+    {
+      "epoch": 0.21469553951508422,
+      "grad_norm": 0.15206299782477828,
+      "learning_rate": 1.92163568851975e-05,
+      "loss": 0.938,
+      "step": 145
+    },
+    {
+      "epoch": 0.2220988339811216,
+      "grad_norm": 0.16815584502250794,
+      "learning_rate": 1.911286098728296e-05,
+      "loss": 0.9285,
+      "step": 150
+    },
+    {
+      "epoch": 0.22950212844715898,
+      "grad_norm": 0.16122796157665575,
+      "learning_rate": 1.900326279883392e-05,
+      "loss": 0.9624,
+      "step": 155
+    },
+    {
+      "epoch": 0.23690542291319638,
+      "grad_norm": 0.15224168391003395,
+      "learning_rate": 1.8887635710631716e-05,
+      "loss": 0.9662,
+      "step": 160
+    },
+    {
+      "epoch": 0.24430871737923376,
+      "grad_norm": 0.14815411902225328,
+      "learning_rate": 1.8766057150619865e-05,
+      "loss": 0.9346,
+      "step": 165
+    },
+    {
+      "epoch": 0.25171201184527114,
+      "grad_norm": 0.15183932254655913,
+      "learning_rate": 1.8638608532055635e-05,
+      "loss": 0.9533,
+      "step": 170
+    },
+    {
+      "epoch": 0.2591153063113085,
+      "grad_norm": 0.1446345977964626,
+      "learning_rate": 1.8505375198992856e-05,
+      "loss": 0.9395,
+      "step": 175
+    },
+    {
+      "epoch": 0.2665186007773459,
+      "grad_norm": 0.14315212915090392,
+      "learning_rate": 1.836644636913258e-05,
+      "loss": 0.9099,
+      "step": 180
+    },
+    {
+      "epoch": 0.2739218952433833,
+      "grad_norm": 0.16987297421517,
+      "learning_rate": 1.8221915074079764e-05,
+      "loss": 0.9342,
+      "step": 185
+    },
+    {
+      "epoch": 0.2813251897094207,
+      "grad_norm": 0.17161893073243528,
+      "learning_rate": 1.8071878097046064e-05,
+      "loss": 0.9115,
+      "step": 190
+    },
+    {
+      "epoch": 0.2887284841754581,
+      "grad_norm": 0.1544233807044902,
+      "learning_rate": 1.7916435908040413e-05,
+      "loss": 0.9309,
+      "step": 195
+    },
+    {
+      "epoch": 0.2961317786414955,
+      "grad_norm": 0.14748037798669633,
+      "learning_rate": 1.7755692596590778e-05,
+      "loss": 0.9333,
+      "step": 200
+    },
+    {
+      "epoch": 0.2961317786414955,
+      "eval_loss": 0.9494131803512573,
+      "eval_runtime": 7.1466,
+      "eval_samples_per_second": 17.911,
+      "eval_steps_per_second": 2.239,
+      "step": 200
+    },
+    {
+      "epoch": 0.30353507310753286,
+      "grad_norm": 0.1555651675700521,
+      "learning_rate": 1.7589755802042188e-05,
+      "loss": 0.9287,
+      "step": 205
+    },
+    {
+      "epoch": 0.31093836757357024,
+      "grad_norm": 0.16353203572144123,
+      "learning_rate": 1.7418736641477636e-05,
+      "loss": 0.9099,
+      "step": 210
+    },
+    {
+      "epoch": 0.3183416620396076,
+      "grad_norm": 0.15764904906951305,
+      "learning_rate": 1.7242749635310222e-05,
+      "loss": 0.913,
+      "step": 215
+    },
+    {
+      "epoch": 0.325744956505645,
+      "grad_norm": 0.1448977765793318,
+      "learning_rate": 1.7061912630596252e-05,
+      "loss": 0.9173,
+      "step": 220
+    },
+    {
+      "epoch": 0.3331482509716824,
+      "grad_norm": 0.15258137653598713,
+      "learning_rate": 1.6876346722120747e-05,
+      "loss": 0.9319,
+      "step": 225
+    },
+    {
+      "epoch": 0.34055154543771976,
+      "grad_norm": 0.1563094102159032,
+      "learning_rate": 1.6686176171308125e-05,
+      "loss": 0.955,
+      "step": 230
+    },
+    {
+      "epoch": 0.3479548399037572,
+      "grad_norm": 0.14423025166628695,
+      "learning_rate": 1.6491528323012412e-05,
+      "loss": 0.9132,
+      "step": 235
+    },
+    {
+      "epoch": 0.3553581343697946,
+      "grad_norm": 0.14263303346026474,
+      "learning_rate": 1.6292533520242663e-05,
+      "loss": 0.9157,
+      "step": 240
+    },
+    {
+      "epoch": 0.36276142883583196,
+      "grad_norm": 0.13731880620436607,
+      "learning_rate": 1.6089325016880737e-05,
+      "loss": 0.9058,
+      "step": 245
+    },
+    {
+      "epoch": 0.37016472330186934,
+      "grad_norm": 0.17337841623245412,
+      "learning_rate": 1.588203888844982e-05,
+      "loss": 0.9261,
+      "step": 250
+    },
+    {
+      "epoch": 0.3775680177679067,
+      "grad_norm": 0.1517393366410306,
+      "learning_rate": 1.5670813940993504e-05,
+      "loss": 0.8936,
+      "step": 255
+    },
+    {
+      "epoch": 0.3849713122339441,
+      "grad_norm": 0.14624943669912388,
+      "learning_rate": 1.5455791618126407e-05,
+      "loss": 0.8844,
+      "step": 260
+    },
+    {
+      "epoch": 0.3923746066999815,
+      "grad_norm": 0.14950642484342547,
+      "learning_rate": 1.5237115906318565e-05,
+      "loss": 0.9132,
+      "step": 265
+    },
+    {
+      "epoch": 0.39977790116601886,
+      "grad_norm": 0.15048654068633793,
+      "learning_rate": 1.5014933238477069e-05,
+      "loss": 0.8891,
+      "step": 270
+    },
+    {
+      "epoch": 0.4071811956320563,
+      "grad_norm": 0.1570568189193127,
+      "learning_rate": 1.4789392395889468e-05,
+      "loss": 0.9186,
+      "step": 275
+    },
+    {
+      "epoch": 0.41458449009809367,
+      "grad_norm": 0.15381562012177635,
+      "learning_rate": 1.4560644408594602e-05,
+      "loss": 0.8927,
+      "step": 280
+    },
+    {
+      "epoch": 0.42198778456413105,
+      "grad_norm": 0.1444417700490563,
+      "learning_rate": 1.432884245424761e-05,
+      "loss": 0.9081,
+      "step": 285
+    },
+    {
+      "epoch": 0.42939107903016843,
+      "grad_norm": 0.15807566475131207,
+      "learning_rate": 1.4094141755546816e-05,
+      "loss": 0.9389,
+      "step": 290
+    },
+    {
+      "epoch": 0.4367943734962058,
+      "grad_norm": 0.14968340220236578,
+      "learning_rate": 1.3856699476291176e-05,
+      "loss": 0.8926,
+      "step": 295
+    },
+    {
+      "epoch": 0.4441976679622432,
+      "grad_norm": 0.15781464037029244,
+      "learning_rate": 1.3616674616137902e-05,
+      "loss": 0.9161,
+      "step": 300
+    },
+    {
+      "epoch": 0.4441976679622432,
+      "eval_loss": 0.930830717086792,
+      "eval_runtime": 7.1062,
+      "eval_samples_per_second": 18.013,
+      "eval_steps_per_second": 2.252,
+      "step": 300
+    },
+    {
+      "epoch": 0.4516009624282806,
+      "grad_norm": 0.15525393114371358,
+      "learning_rate": 1.3374227904130724e-05,
+      "loss": 0.9071,
+      "step": 305
+    },
+    {
+      "epoch": 0.45900425689431795,
+      "grad_norm": 0.1457498963275538,
+      "learning_rate": 1.3129521691070108e-05,
+      "loss": 0.8833,
+      "step": 310
+    },
+    {
+      "epoch": 0.46640755136035533,
+      "grad_norm": 0.14987682585253773,
+      "learning_rate": 1.2882719840797473e-05,
+      "loss": 0.9022,
+      "step": 315
+    },
+    {
+      "epoch": 0.47381084582639277,
+      "grad_norm": 0.15509542057237247,
+      "learning_rate": 1.2633987620466229e-05,
+      "loss": 0.8885,
+      "step": 320
+    },
+    {
+      "epoch": 0.48121414029243015,
+      "grad_norm": 0.14584510044567442,
+      "learning_rate": 1.2383491589873122e-05,
+      "loss": 0.8899,
+      "step": 325
+    },
+    {
+      "epoch": 0.48861743475846753,
+      "grad_norm": 0.14309664992352822,
+      "learning_rate": 1.213139948992394e-05,
+      "loss": 0.8998,
+      "step": 330
+    },
+    {
+      "epoch": 0.4960207292245049,
+      "grad_norm": 0.15130038484765435,
+      "learning_rate": 1.187788013030837e-05,
+      "loss": 0.8988,
+      "step": 335
+    },
+    {
+      "epoch": 0.5034240236905423,
+      "grad_norm": 0.1459259790309168,
+      "learning_rate": 1.1623103276459086e-05,
+      "loss": 0.9007,
+      "step": 340
+    },
+    {
+      "epoch": 0.5108273181565797,
+      "grad_norm": 0.14777529707412382,
+      "learning_rate": 1.1367239535870913e-05,
+      "loss": 0.8925,
+      "step": 345
+    },
+    {
+      "epoch": 0.518230612622617,
+      "grad_norm": 0.14724048128355402,
+      "learning_rate": 1.1110460243856051e-05,
+      "loss": 0.8785,
+      "step": 350
+    },
+    {
+      "epoch": 0.5256339070886544,
+      "grad_norm": 0.14527394357147336,
+      "learning_rate": 1.085293734881197e-05,
+      "loss": 0.8982,
+      "step": 355
+    },
+    {
+      "epoch": 0.5330372015546918,
+      "grad_norm": 0.14050877787386462,
+      "learning_rate": 1.0594843297078736e-05,
+      "loss": 0.9181,
+      "step": 360
+    },
+    {
+      "epoch": 0.5404404960207292,
+      "grad_norm": 0.15865485844086924,
+      "learning_rate": 1.0336350917462925e-05,
+      "loss": 0.9062,
+      "step": 365
+    },
+    {
+      "epoch": 0.5478437904867666,
+      "grad_norm": 0.13521171802296975,
+      "learning_rate": 1.0077633305505402e-05,
+      "loss": 0.8927,
+      "step": 370
+    },
+    {
+      "epoch": 0.555247084952804,
+      "grad_norm": 0.13603561195542918,
+      "learning_rate": 9.818863707570476e-06,
+      "loss": 0.9154,
+      "step": 375
+    },
+    {
+      "epoch": 0.5626503794188414,
+      "grad_norm": 0.13965992628983345,
+      "learning_rate": 9.560215404834094e-06,
+      "loss": 0.9016,
+      "step": 380
+    },
+    {
+      "epoch": 0.5700536738848788,
+      "grad_norm": 0.13666000951700663,
+      "learning_rate": 9.30186159724869e-06,
+      "loss": 0.8612,
+      "step": 385
+    },
+    {
+      "epoch": 0.5774569683509162,
+      "grad_norm": 0.13625895333241347,
+      "learning_rate": 9.043975287562443e-06,
+      "loss": 0.9001,
+      "step": 390
+    },
+    {
+      "epoch": 0.5848602628169536,
+      "grad_norm": 0.14371829685671048,
+      "learning_rate": 8.786729165470584e-06,
+      "loss": 0.8738,
+      "step": 395
+    },
+    {
+      "epoch": 0.592263557282991,
+      "grad_norm": 0.13916699255941037,
+      "learning_rate": 8.530295491976338e-06,
+      "loss": 0.8804,
+      "step": 400
+    },
+    {
+      "epoch": 0.592263557282991,
+      "eval_loss": 0.9166682958602905,
+      "eval_runtime": 7.0621,
+      "eval_samples_per_second": 18.125,
+      "eval_steps_per_second": 2.266,
+      "step": 400
+    },
+    {
+      "epoch": 0.5996668517490283,
+      "grad_norm": 0.13004150614702822,
+      "learning_rate": 8.274845984038916e-06,
+      "loss": 0.8647,
+      "step": 405
+    },
+    {
+      "epoch": 0.6070701462150657,
+      "grad_norm": 0.14629481441132058,
+      "learning_rate": 8.020551699585843e-06,
+      "loss": 0.9007,
+      "step": 410
+    },
+    {
+      "epoch": 0.6144734406811031,
+      "grad_norm": 0.12877499400506406,
+      "learning_rate": 7.76758292296659e-06,
+      "loss": 0.8745,
+      "step": 415
+    },
+    {
+      "epoch": 0.6218767351471405,
+      "grad_norm": 0.13752238505053258,
+      "learning_rate": 7.5161090509242005e-06,
+      "loss": 0.8928,
+      "step": 420
+    },
+    {
+      "epoch": 0.6292800296131779,
+      "grad_norm": 0.14148995267833064,
+      "learning_rate": 7.2662984791613186e-06,
+      "loss": 0.8845,
+      "step": 425
+    },
+    {
+      "epoch": 0.6366833240792152,
+      "grad_norm": 0.14452849454657804,
+      "learning_rate": 7.01831848957653e-06,
+      "loss": 0.8991,
+      "step": 430
+    },
+    {
+      "epoch": 0.6440866185452526,
+      "grad_norm": 0.13297035448949285,
+      "learning_rate": 6.772335138246548e-06,
+      "loss": 0.8966,
+      "step": 435
+    },
+    {
+      "epoch": 0.65148991301129,
+      "grad_norm": 0.13999651657873824,
+      "learning_rate": 6.528513144229256e-06,
+      "loss": 0.8901,
+      "step": 440
+    },
+    {
+      "epoch": 0.6588932074773274,
+      "grad_norm": 0.13786802129264458,
+      "learning_rate": 6.287015779262064e-06,
+      "loss": 0.8988,
+      "step": 445
+    },
+    {
+      "epoch": 0.6662965019433648,
+      "grad_norm": 0.13362818972180024,
+      "learning_rate": 6.048004758429451e-06,
+      "loss": 0.8773,
+      "step": 450
+    },
+    {
+      "epoch": 0.6736997964094021,
+      "grad_norm": 0.14094460764095268,
+      "learning_rate": 5.811640131872867e-06,
+      "loss": 0.9022,
+      "step": 455
+    },
+    {
+      "epoch": 0.6811030908754395,
+      "grad_norm": 0.13177032254471754,
+      "learning_rate": 5.578080177615575e-06,
+      "loss": 0.8681,
+      "step": 460
+    },
+    {
+      "epoch": 0.688506385341477,
+      "grad_norm": 0.1447285259606947,
+      "learning_rate": 5.347481295574141e-06,
+      "loss": 0.8642,
+      "step": 465
+    },
+    {
+      "epoch": 0.6959096798075144,
+      "grad_norm": 0.16212399303569955,
+      "learning_rate": 5.119997902827584e-06,
+      "loss": 0.8768,
+      "step": 470
+    },
+    {
+      "epoch": 0.7033129742735518,
+      "grad_norm": 0.13407281956450473,
+      "learning_rate": 4.8957823302142916e-06,
+      "loss": 0.8861,
+      "step": 475
+    },
+    {
+      "epoch": 0.7107162687395892,
+      "grad_norm": 0.12431950401558224,
+      "learning_rate": 4.674984720325961e-06,
+      "loss": 0.8663,
+      "step": 480
+    },
+    {
+      "epoch": 0.7181195632056265,
+      "grad_norm": 0.13146748720425666,
+      "learning_rate": 4.457752926966888e-06,
+      "loss": 0.8618,
+      "step": 485
+    },
+    {
+      "epoch": 0.7255228576716639,
+      "grad_norm": 0.12584510121252945,
+      "learning_rate": 4.244232416145839e-06,
+      "loss": 0.8854,
+      "step": 490
+    },
+    {
+      "epoch": 0.7329261521377013,
+      "grad_norm": 0.12990134879461734,
+      "learning_rate": 4.0345661686669745e-06,
+      "loss": 0.8762,
+      "step": 495
+    },
+    {
+      "epoch": 0.7403294466037387,
+      "grad_norm": 0.13783047027951226,
+      "learning_rate": 3.828894584384867e-06,
+      "loss": 0.8859,
+      "step": 500
+    },
+    {
+      "epoch": 0.7403294466037387,
+      "eval_loss": 0.9078959226608276,
+      "eval_runtime": 7.1187,
+      "eval_samples_per_second": 17.981,
+      "eval_steps_per_second": 2.248,
+      "step": 500
+    },
+    {
+      "epoch": 0.747732741069776,
+      "grad_norm": 0.12586000345704224,
+      "learning_rate": 3.62735538818787e-06,
+      "loss": 0.8688,
+      "step": 505
+    },
+    {
+      "epoch": 0.7551360355358134,
+      "grad_norm": 0.14104016395887148,
+      "learning_rate": 3.4300835377726904e-06,
+      "loss": 0.8703,
+      "step": 510
+    },
+    {
+      "epoch": 0.7625393300018508,
+      "grad_norm": 0.13533570426883107,
+      "learning_rate": 3.2372111332720045e-06,
+      "loss": 0.9138,
+      "step": 515
+    },
+    {
+      "epoch": 0.7699426244678882,
+      "grad_norm": 0.14074880883541166,
+      "learning_rate": 3.048867328795588e-06,
+      "loss": 0.8618,
+      "step": 520
+    },
+    {
+      "epoch": 0.7773459189339256,
+      "grad_norm": 0.13230663319443067,
+      "learning_rate": 2.865178245944218e-06,
+      "loss": 0.8604,
+      "step": 525
+    },
+    {
+      "epoch": 0.784749213399963,
+      "grad_norm": 0.1247899466464526,
+      "learning_rate": 2.686266889354211e-06,
+      "loss": 0.8859,
+      "step": 530
+    },
+    {
+      "epoch": 0.7921525078660003,
+      "grad_norm": 0.13575024760681823,
+      "learning_rate": 2.5122530643292274e-06,
+      "loss": 0.8905,
+      "step": 535
+    },
+    {
+      "epoch": 0.7995558023320377,
+      "grad_norm": 0.1357493128741245,
+      "learning_rate": 2.3432532966144526e-06,
+      "loss": 0.8852,
+      "step": 540
+    },
+    {
+      "epoch": 0.8069590967980751,
+      "grad_norm": 0.13498792821706115,
+      "learning_rate": 2.1793807543668857e-06,
+      "loss": 0.8828,
+      "step": 545
+    },
+    {
+      "epoch": 0.8143623912641126,
+      "grad_norm": 0.12019174745605471,
+      "learning_rate": 2.0207451723739633e-06,
+      "loss": 0.8742,
+      "step": 550
+    },
+    {
+      "epoch": 0.82176568573015,
+      "grad_norm": 0.12150186530956911,
+      "learning_rate": 1.8674527785713247e-06,
+      "loss": 0.8802,
+      "step": 555
+    },
+    {
+      "epoch": 0.8291689801961873,
+      "grad_norm": 0.13657600204630863,
+      "learning_rate": 1.7196062229088606e-06,
+      "loss": 0.8458,
+      "step": 560
+    },
+    {
+      "epoch": 0.8365722746622247,
+      "grad_norm": 0.14316460964604913,
+      "learning_rate": 1.577304508612717e-06,
+      "loss": 0.8772,
+      "step": 565
+    },
+    {
+      "epoch": 0.8439755691282621,
+      "grad_norm": 0.11702464461690702,
+      "learning_rate": 1.4406429258892762e-06,
+      "loss": 0.8978,
+      "step": 570
+    },
+    {
+      "epoch": 0.8513788635942995,
+      "grad_norm": 0.13649799424857104,
+      "learning_rate": 1.3097129881154936e-06,
+      "loss": 0.8679,
+      "step": 575
+    },
+    {
+      "epoch": 0.8587821580603369,
+      "grad_norm": 0.12879197044894133,
+      "learning_rate": 1.1846023705583442e-06,
+      "loss": 0.8611,
+      "step": 580
+    },
+    {
+      "epoch": 0.8661854525263742,
+      "grad_norm": 0.12611530487166148,
+      "learning_rate": 1.065394851664394e-06,
+      "loss": 0.8847,
+      "step": 585
+    },
+    {
+      "epoch": 0.8735887469924116,
+      "grad_norm": 0.12199166350158228,
+      "learning_rate": 9.521702569588199e-07,
+      "loss": 0.9041,
+      "step": 590
+    },
+    {
+      "epoch": 0.880992041458449,
+      "grad_norm": 0.13250148039242704,
+      "learning_rate": 8.450044055914497e-07,
+      "loss": 0.8703,
+      "step": 595
+    },
+    {
+      "epoch": 0.8883953359244864,
+      "grad_norm": 0.12335176677515089,
+      "learning_rate": 7.439690595656013e-07,
+      "loss": 0.8931,
+      "step": 600
+    },
+    {
+      "epoch": 0.8883953359244864,
+      "eval_loss": 0.904110312461853,
+      "eval_runtime": 7.0453,
+      "eval_samples_per_second": 18.168,
+      "eval_steps_per_second": 2.271,
+      "step": 600
+    },
+    {
+      "epoch": 0.8957986303905238,
+      "grad_norm": 0.13803312908970108,
+      "learning_rate": 6.491318756837417e-07,
+      "loss": 0.8773,
+      "step": 605
+    },
+    {
+      "epoch": 0.9032019248565611,
+      "grad_norm": 0.11990945958525849,
+      "learning_rate": 5.605563602421149e-07,
+      "loss": 0.8506,
+      "step": 610
+    },
+    {
+      "epoch": 0.9106052193225985,
+      "grad_norm": 0.12252169940099521,
+      "learning_rate": 4.783018265047179e-07,
+      "loss": 0.9066,
+      "step": 615
+    },
+    {
+      "epoch": 0.9180085137886359,
+      "grad_norm": 0.12997936768176632,
+      "learning_rate": 4.024233549850509e-07,
+      "loss": 0.8924,
+      "step": 620
+    },
+    {
+      "epoch": 0.9254118082546733,
+      "grad_norm": 0.12018543528554308,
+      "learning_rate": 3.329717565622825e-07,
+      "loss": 0.8889,
+      "step": 625
+    },
+    {
+      "epoch": 0.9328151027207107,
+      "grad_norm": 0.12623553627779757,
+      "learning_rate": 2.6999353845651113e-07,
+      "loss": 0.8718,
+      "step": 630
+    },
+    {
+      "epoch": 0.9402183971867482,
+      "grad_norm": 0.12569602093691798,
+      "learning_rate": 2.1353087308590314e-07,
+      "loss": 0.8885,
+      "step": 635
+    },
+    {
+      "epoch": 0.9476216916527855,
+      "grad_norm": 0.12693697747520694,
+      "learning_rate": 1.6362156982656085e-07,
+      "loss": 0.8778,
+      "step": 640
+    },
+    {
+      "epoch": 0.9550249861188229,
+      "grad_norm": 0.11916388416111799,
+      "learning_rate": 1.2029904969404482e-07,
+      "loss": 0.8574,
+      "step": 645
+    },
+    {
+      "epoch": 0.9624282805848603,
+      "grad_norm": 0.13423693830897884,
+      "learning_rate": 8.359232296349163e-08,
+      "loss": 0.8633,
+      "step": 650
+    },
+    {
+      "epoch": 0.9698315750508977,
+      "grad_norm": 0.12941855976651295,
+      "learning_rate": 5.3525969743324356e-08,
+      "loss": 0.8779,
+      "step": 655
+    },
+    {
+      "epoch": 0.9772348695169351,
+      "grad_norm": 0.11997265846004904,
+      "learning_rate": 3.012012351554017e-08,
+      "loss": 0.8493,
+      "step": 660
+    },
+    {
+      "epoch": 0.9846381639829724,
+      "grad_norm": 0.13237634154671962,
+      "learning_rate": 1.3390457653639221e-08,
+      "loss": 0.8863,
+      "step": 665
+    },
+    {
+      "epoch": 0.9920414584490098,
+      "grad_norm": 0.13967439000954648,
+      "learning_rate": 3.3481749271768726e-09,
+      "loss": 0.8954,
+      "step": 670
+    },
+    {
+      "epoch": 0.9994447529150472,
+      "grad_norm": 0.12596999235093093,
+      "learning_rate": 0.0,
+      "loss": 0.861,
+      "step": 675
+    },
+    {
+      "epoch": 0.9994447529150472,
+      "step": 675,
+      "total_flos": 1.6624354892709888e+17,
+      "train_loss": 0.9221899901496039,
+      "train_runtime": 5284.4545,
+      "train_samples_per_second": 4.089,
+      "train_steps_per_second": 0.128
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 675,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": false,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6624354892709888e+17,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a88242a10b98a25d2fcf5491c6e5031519e0dc818b3a32ea7da05e4a130c8f68
+size 7416