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/Qwen2.5-1.5B-Instruct
+library_name: transformers
+model_name: Qwen2.5-1.5B-Open-R1-Distill
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Qwen2.5-1.5B-Open-R1-Distill
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-1.5B-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="jeff-gao/Qwen2.5-1.5B-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/wiz-llm/huggingface/runs/jltfpdg4) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.15.0
+- Transformers: 4.48.3
+- Pytorch: 2.5.1
+- Datasets: 3.3.0
+- 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 +1,8 @@
+{
+    "total_flos": 6.086450124265882e+17,
+    "train_loss": 0.7795855527453952,
+    "train_runtime": 1563.698,
+    "train_samples": 16610,
+    "train_samples_per_second": 13.828,
+    "train_steps_per_second": 0.288
+}

config.json

@@ -0,0 +1,29 @@
+{
+  "_name_or_path": "Qwen/Qwen2.5-1.5B-Instruct",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 21,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "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": "4.48.3",
+  "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": "4.48.3"
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2dcd2f149cdef4158a6f23e8179407ab9d448909d1b650d4ffc367022325264b
+size 3087467144

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 +1,8 @@
+{
+    "total_flos": 6.086450124265882e+17,
+    "train_loss": 0.7795855527453952,
+    "train_runtime": 1563.698,
+    "train_samples": 16610,
+    "train_samples_per_second": 13.828,
+    "train_steps_per_second": 0.288
+}

trainer_state.json

@@ -0,0 +1,798 @@
+{
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.9988901220865705,
+  "eval_steps": 100,
+  "global_step": 450,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.011098779134295227,
+      "grad_norm": 0.32028938698735326,
+      "learning_rate": 2.222222222222222e-06,
+      "loss": 1.1057,
+      "mean_token_accuracy": 0.7074955803776843,
+      "step": 5
+    },
+    {
+      "epoch": 0.022197558268590455,
+      "grad_norm": 0.19534757580522985,
+      "learning_rate": 4.444444444444444e-06,
+      "loss": 1.0688,
+      "mean_token_accuracy": 0.7163213776876576,
+      "step": 10
+    },
+    {
+      "epoch": 0.033296337402885685,
+      "grad_norm": 0.1962807122200424,
+      "learning_rate": 6.666666666666667e-06,
+      "loss": 1.0285,
+      "mean_token_accuracy": 0.7219675252672673,
+      "step": 15
+    },
+    {
+      "epoch": 0.04439511653718091,
+      "grad_norm": 0.17661044382753963,
+      "learning_rate": 8.888888888888888e-06,
+      "loss": 0.9569,
+      "mean_token_accuracy": 0.7338179788852269,
+      "step": 20
+    },
+    {
+      "epoch": 0.05549389567147614,
+      "grad_norm": 0.13298871259606682,
+      "learning_rate": 1.1111111111111113e-05,
+      "loss": 0.96,
+      "mean_token_accuracy": 0.7289285538378297,
+      "step": 25
+    },
+    {
+      "epoch": 0.06659267480577137,
+      "grad_norm": 0.10139226456438258,
+      "learning_rate": 1.3333333333333333e-05,
+      "loss": 0.9003,
+      "mean_token_accuracy": 0.7429319064764655,
+      "step": 30
+    },
+    {
+      "epoch": 0.07769145394006659,
+      "grad_norm": 0.09671244610636456,
+      "learning_rate": 1.555555555555556e-05,
+      "loss": 0.8848,
+      "mean_token_accuracy": 0.7450362054794413,
+      "step": 35
+    },
+    {
+      "epoch": 0.08879023307436182,
+      "grad_norm": 0.10358003016336022,
+      "learning_rate": 1.7777777777777777e-05,
+      "loss": 0.8681,
+      "mean_token_accuracy": 0.7483839065381315,
+      "step": 40
+    },
+    {
+      "epoch": 0.09988901220865705,
+      "grad_norm": 0.07881610121393638,
+      "learning_rate": 2e-05,
+      "loss": 0.8442,
+      "mean_token_accuracy": 0.7542158990266088,
+      "step": 45
+    },
+    {
+      "epoch": 0.11098779134295228,
+      "grad_norm": 0.07695709459998314,
+      "learning_rate": 1.9992479525042305e-05,
+      "loss": 0.8202,
+      "mean_token_accuracy": 0.7594429564506759,
+      "step": 50
+    },
+    {
+      "epoch": 0.1220865704772475,
+      "grad_norm": 0.0770940463572419,
+      "learning_rate": 1.996992941167792e-05,
+      "loss": 0.8204,
+      "mean_token_accuracy": 0.7596416663786116,
+      "step": 55
+    },
+    {
+      "epoch": 0.13318534961154274,
+      "grad_norm": 0.07120273045521322,
+      "learning_rate": 1.9932383577419432e-05,
+      "loss": 0.819,
+      "mean_token_accuracy": 0.7587201214083239,
+      "step": 60
+    },
+    {
+      "epoch": 0.14428412874583796,
+      "grad_norm": 0.07558536731907865,
+      "learning_rate": 1.9879898494768093e-05,
+      "loss": 0.8027,
+      "mean_token_accuracy": 0.7628218193365146,
+      "step": 65
+    },
+    {
+      "epoch": 0.15538290788013318,
+      "grad_norm": 0.0724884828137313,
+      "learning_rate": 1.9812553106273848e-05,
+      "loss": 0.8126,
+      "mean_token_accuracy": 0.7601266253946841,
+      "step": 70
+    },
+    {
+      "epoch": 0.16648168701442842,
+      "grad_norm": 0.0721988261195697,
+      "learning_rate": 1.973044870579824e-05,
+      "loss": 0.8027,
+      "mean_token_accuracy": 0.7625601714037885,
+      "step": 75
+    },
+    {
+      "epoch": 0.17758046614872364,
+      "grad_norm": 0.07812772834648507,
+      "learning_rate": 1.9633708786158803e-05,
+      "loss": 0.803,
+      "mean_token_accuracy": 0.7625912882794786,
+      "step": 80
+    },
+    {
+      "epoch": 0.18867924528301888,
+      "grad_norm": 0.06226943817830889,
+      "learning_rate": 1.9522478853384154e-05,
+      "loss": 0.7936,
+      "mean_token_accuracy": 0.7635993724131902,
+      "step": 85
+    },
+    {
+      "epoch": 0.1997780244173141,
+      "grad_norm": 0.0695985028428393,
+      "learning_rate": 1.9396926207859085e-05,
+      "loss": 0.7841,
+      "mean_token_accuracy": 0.7661331851833721,
+      "step": 90
+    },
+    {
+      "epoch": 0.21087680355160932,
+      "grad_norm": 0.07119143212066893,
+      "learning_rate": 1.9257239692688907e-05,
+      "loss": 0.7904,
+      "mean_token_accuracy": 0.7651270507722707,
+      "step": 95
+    },
+    {
+      "epoch": 0.22197558268590456,
+      "grad_norm": 0.06900642736695052,
+      "learning_rate": 1.9103629409661468e-05,
+      "loss": 0.7805,
+      "mean_token_accuracy": 0.7667522330276506,
+      "step": 100
+    },
+    {
+      "epoch": 0.22197558268590456,
+      "eval_loss": 0.8109510540962219,
+      "eval_mean_token_accuracy": 0.7568694476131612,
+      "eval_runtime": 2.9489,
+      "eval_samples_per_second": 43.744,
+      "eval_steps_per_second": 3.73,
+      "step": 100
+    },
+    {
+      "epoch": 0.23307436182019978,
+      "grad_norm": 0.07584475595205237,
+      "learning_rate": 1.8936326403234125e-05,
+      "loss": 0.7819,
+      "mean_token_accuracy": 0.7674415677558553,
+      "step": 105
+    },
+    {
+      "epoch": 0.244173140954495,
+      "grad_norm": 0.06583872042093958,
+      "learning_rate": 1.8755582313020912e-05,
+      "loss": 0.7819,
+      "mean_token_accuracy": 0.766467737858396,
+      "step": 110
+    },
+    {
+      "epoch": 0.25527192008879024,
+      "grad_norm": 0.07082657098771901,
+      "learning_rate": 1.8561668995302668e-05,
+      "loss": 0.7831,
+      "mean_token_accuracy": 0.76569958171409,
+      "step": 115
+    },
+    {
+      "epoch": 0.2663706992230855,
+      "grad_norm": 0.06762014391699019,
+      "learning_rate": 1.8354878114129368e-05,
+      "loss": 0.7729,
+      "mean_token_accuracy": 0.7691614712931135,
+      "step": 120
+    },
+    {
+      "epoch": 0.27746947835738067,
+      "grad_norm": 0.06572171584857384,
+      "learning_rate": 1.8135520702629677e-05,
+      "loss": 0.7727,
+      "mean_token_accuracy": 0.7692371318506055,
+      "step": 125
+    },
+    {
+      "epoch": 0.2885682574916759,
+      "grad_norm": 0.07387797497484562,
+      "learning_rate": 1.7903926695187595e-05,
+      "loss": 0.7748,
+      "mean_token_accuracy": 0.767360264364967,
+      "step": 130
+    },
+    {
+      "epoch": 0.29966703662597116,
+      "grad_norm": 0.0648507090395773,
+      "learning_rate": 1.766044443118978e-05,
+      "loss": 0.7876,
+      "mean_token_accuracy": 0.7646269472458946,
+      "step": 135
+    },
+    {
+      "epoch": 0.31076581576026635,
+      "grad_norm": 0.07594530254646713,
+      "learning_rate": 1.740544013109005e-05,
+      "loss": 0.763,
+      "mean_token_accuracy": 0.7709959638413746,
+      "step": 140
+    },
+    {
+      "epoch": 0.3218645948945616,
+      "grad_norm": 0.0732533507550857,
+      "learning_rate": 1.7139297345578992e-05,
+      "loss": 0.783,
+      "mean_token_accuracy": 0.7649811510602629,
+      "step": 145
+    },
+    {
+      "epoch": 0.33296337402885684,
+      "grad_norm": 0.06649981966991503,
+      "learning_rate": 1.686241637868734e-05,
+      "loss": 0.7699,
+      "mean_token_accuracy": 0.7692172433619623,
+      "step": 150
+    },
+    {
+      "epoch": 0.34406215316315203,
+      "grad_norm": 0.0663190385068203,
+      "learning_rate": 1.657521368569064e-05,
+      "loss": 0.7701,
+      "mean_token_accuracy": 0.7685507996235139,
+      "step": 155
+    },
+    {
+      "epoch": 0.3551609322974473,
+      "grad_norm": 0.07086248919589423,
+      "learning_rate": 1.627812124672099e-05,
+      "loss": 0.7916,
+      "mean_token_accuracy": 0.762897097306175,
+      "step": 160
+    },
+    {
+      "epoch": 0.3662597114317425,
+      "grad_norm": 0.06620650991928366,
+      "learning_rate": 1.5971585917027864e-05,
+      "loss": 0.7802,
+      "mean_token_accuracy": 0.7649210363933718,
+      "step": 165
+    },
+    {
+      "epoch": 0.37735849056603776,
+      "grad_norm": 0.06905926805248713,
+      "learning_rate": 1.5656068754865388e-05,
+      "loss": 0.7677,
+      "mean_token_accuracy": 0.7696914957690235,
+      "step": 170
+    },
+    {
+      "epoch": 0.38845726970033295,
+      "grad_norm": 0.07914298364560284,
+      "learning_rate": 1.5332044328016916e-05,
+      "loss": 0.7672,
+      "mean_token_accuracy": 0.7682120122871129,
+      "step": 175
+    },
+    {
+      "epoch": 0.3995560488346282,
+      "grad_norm": 0.07115670436565744,
+      "learning_rate": 1.5000000000000002e-05,
+      "loss": 0.7774,
+      "mean_token_accuracy": 0.7662370568414045,
+      "step": 180
+    },
+    {
+      "epoch": 0.41065482796892344,
+      "grad_norm": 0.06396528657795297,
+      "learning_rate": 1.4660435197025391e-05,
+      "loss": 0.7478,
+      "mean_token_accuracy": 0.7749828723486186,
+      "step": 185
+    },
+    {
+      "epoch": 0.42175360710321863,
+      "grad_norm": 0.0628671379282561,
+      "learning_rate": 1.4313860656812537e-05,
+      "loss": 0.7527,
+      "mean_token_accuracy": 0.7723581904090526,
+      "step": 190
+    },
+    {
+      "epoch": 0.4328523862375139,
+      "grad_norm": 0.06693399129139697,
+      "learning_rate": 1.396079766039157e-05,
+      "loss": 0.7709,
+      "mean_token_accuracy": 0.768176693477312,
+      "step": 195
+    },
+    {
+      "epoch": 0.4439511653718091,
+      "grad_norm": 0.06898843383807368,
+      "learning_rate": 1.3601777248047105e-05,
+      "loss": 0.7558,
+      "mean_token_accuracy": 0.7725129471022092,
+      "step": 200
+    },
+    {
+      "epoch": 0.4439511653718091,
+      "eval_loss": 0.7829984426498413,
+      "eval_mean_token_accuracy": 0.7632673514716071,
+      "eval_runtime": 2.5178,
+      "eval_samples_per_second": 51.234,
+      "eval_steps_per_second": 4.369,
+      "step": 200
+    },
+    {
+      "epoch": 0.4550499445061043,
+      "grad_norm": 0.06712291331425221,
+      "learning_rate": 1.3237339420583213e-05,
+      "loss": 0.7423,
+      "mean_token_accuracy": 0.7751750598902079,
+      "step": 205
+    },
+    {
+      "epoch": 0.46614872364039955,
+      "grad_norm": 0.07066852759980123,
+      "learning_rate": 1.2868032327110904e-05,
+      "loss": 0.7847,
+      "mean_token_accuracy": 0.7637066112136016,
+      "step": 210
+    },
+    {
+      "epoch": 0.4772475027746948,
+      "grad_norm": 0.06797517881945832,
+      "learning_rate": 1.2494411440579814e-05,
+      "loss": 0.7627,
+      "mean_token_accuracy": 0.7701866684088337,
+      "step": 215
+    },
+    {
+      "epoch": 0.48834628190899,
+      "grad_norm": 0.0740366450868316,
+      "learning_rate": 1.211703872229411e-05,
+      "loss": 0.7554,
+      "mean_token_accuracy": 0.7726324974593143,
+      "step": 220
+    },
+    {
+      "epoch": 0.49944506104328523,
+      "grad_norm": 0.06603564857589732,
+      "learning_rate": 1.1736481776669307e-05,
+      "loss": 0.7703,
+      "mean_token_accuracy": 0.7674938853021173,
+      "step": 225
+    },
+    {
+      "epoch": 0.5105438401775805,
+      "grad_norm": 0.06456424170382646,
+      "learning_rate": 1.1353312997501313e-05,
+      "loss": 0.7681,
+      "mean_token_accuracy": 0.7680860839714745,
+      "step": 230
+    },
+    {
+      "epoch": 0.5216426193118757,
+      "grad_norm": 0.0680877993193484,
+      "learning_rate": 1.0968108707031792e-05,
+      "loss": 0.7568,
+      "mean_token_accuracy": 0.7713919990696916,
+      "step": 235
+    },
+    {
+      "epoch": 0.532741398446171,
+      "grad_norm": 0.06457964510433087,
+      "learning_rate": 1.0581448289104759e-05,
+      "loss": 0.7489,
+      "mean_token_accuracy": 0.7742981274310832,
+      "step": 240
+    },
+    {
+      "epoch": 0.5438401775804661,
+      "grad_norm": 0.06309191183030195,
+      "learning_rate": 1.0193913317718245e-05,
+      "loss": 0.7518,
+      "mean_token_accuracy": 0.7737425585967734,
+      "step": 245
+    },
+    {
+      "epoch": 0.5549389567147613,
+      "grad_norm": 0.06092764730736236,
+      "learning_rate": 9.806086682281759e-06,
+      "loss": 0.761,
+      "mean_token_accuracy": 0.7695176080139992,
+      "step": 250
+    },
+    {
+      "epoch": 0.5660377358490566,
+      "grad_norm": 0.06517875424025751,
+      "learning_rate": 9.418551710895243e-06,
+      "loss": 0.7451,
+      "mean_token_accuracy": 0.7737921205376608,
+      "step": 255
+    },
+    {
+      "epoch": 0.5771365149833518,
+      "grad_norm": 0.06586926609081382,
+      "learning_rate": 9.03189129296821e-06,
+      "loss": 0.7272,
+      "mean_token_accuracy": 0.7790233444795842,
+      "step": 260
+    },
+    {
+      "epoch": 0.5882352941176471,
+      "grad_norm": 0.06455882882155867,
+      "learning_rate": 8.646687002498692e-06,
+      "loss": 0.7493,
+      "mean_token_accuracy": 0.7728544867539606,
+      "step": 265
+    },
+    {
+      "epoch": 0.5993340732519423,
+      "grad_norm": 0.06419037506595338,
+      "learning_rate": 8.263518223330698e-06,
+      "loss": 0.7447,
+      "mean_token_accuracy": 0.774466472618278,
+      "step": 270
+    },
+    {
+      "epoch": 0.6104328523862376,
+      "grad_norm": 0.06483038923609051,
+      "learning_rate": 7.882961277705897e-06,
+      "loss": 0.7467,
+      "mean_token_accuracy": 0.7736083802309587,
+      "step": 275
+    },
+    {
+      "epoch": 0.6215316315205327,
+      "grad_norm": 0.06889145412976934,
+      "learning_rate": 7.505588559420188e-06,
+      "loss": 0.7423,
+      "mean_token_accuracy": 0.7752051151920257,
+      "step": 280
+    },
+    {
+      "epoch": 0.632630410654828,
+      "grad_norm": 0.06931221562176564,
+      "learning_rate": 7.131967672889101e-06,
+      "loss": 0.7766,
+      "mean_token_accuracy": 0.7648978880464531,
+      "step": 285
+    },
+    {
+      "epoch": 0.6437291897891232,
+      "grad_norm": 0.0645937272519637,
+      "learning_rate": 6.762660579416791e-06,
+      "loss": 0.7529,
+      "mean_token_accuracy": 0.7729185441854456,
+      "step": 290
+    },
+    {
+      "epoch": 0.6548279689234184,
+      "grad_norm": 0.06415673551420226,
+      "learning_rate": 6.3982227519528986e-06,
+      "loss": 0.7601,
+      "mean_token_accuracy": 0.7699141088391924,
+      "step": 295
+    },
+    {
+      "epoch": 0.6659267480577137,
+      "grad_norm": 0.06845419068799381,
+      "learning_rate": 6.039202339608432e-06,
+      "loss": 0.7519,
+      "mean_token_accuracy": 0.77195855669696,
+      "step": 300
+    },
+    {
+      "epoch": 0.6659267480577137,
+      "eval_loss": 0.7694035172462463,
+      "eval_mean_token_accuracy": 0.7656926514001757,
+      "eval_runtime": 2.5109,
+      "eval_samples_per_second": 51.376,
+      "eval_steps_per_second": 4.381,
+      "step": 300
+    },
+    {
+      "epoch": 0.6770255271920089,
+      "grad_norm": 0.06481669897887246,
+      "learning_rate": 5.686139343187468e-06,
+      "loss": 0.7368,
+      "mean_token_accuracy": 0.7768982703775535,
+      "step": 305
+    },
+    {
+      "epoch": 0.6881243063263041,
+      "grad_norm": 0.06555414493127953,
+      "learning_rate": 5.339564802974615e-06,
+      "loss": 0.7496,
+      "mean_token_accuracy": 0.7741114122022307,
+      "step": 310
+    },
+    {
+      "epoch": 0.6992230854605993,
+      "grad_norm": 0.06321637577126818,
+      "learning_rate": 5.000000000000003e-06,
+      "loss": 0.7379,
+      "mean_token_accuracy": 0.7763521164662632,
+      "step": 315
+    },
+    {
+      "epoch": 0.7103218645948945,
+      "grad_norm": 0.06534174478047594,
+      "learning_rate": 4.66795567198309e-06,
+      "loss": 0.7186,
+      "mean_token_accuracy": 0.7821842581348311,
+      "step": 320
+    },
+    {
+      "epoch": 0.7214206437291898,
+      "grad_norm": 0.0656418642194091,
+      "learning_rate": 4.343931245134616e-06,
+      "loss": 0.7429,
+      "mean_token_accuracy": 0.7750543137352807,
+      "step": 325
+    },
+    {
+      "epoch": 0.732519422863485,
+      "grad_norm": 0.06142434056090795,
+      "learning_rate": 4.028414082972141e-06,
+      "loss": 0.7432,
+      "mean_token_accuracy": 0.775647557164172,
+      "step": 330
+    },
+    {
+      "epoch": 0.7436182019977803,
+      "grad_norm": 0.06566009724006543,
+      "learning_rate": 3.7218787532790167e-06,
+      "loss": 0.7527,
+      "mean_token_accuracy": 0.7717515416461624,
+      "step": 335
+    },
+    {
+      "epoch": 0.7547169811320755,
+      "grad_norm": 0.06813787133901092,
+      "learning_rate": 3.424786314309365e-06,
+      "loss": 0.7397,
+      "mean_token_accuracy": 0.7761784463020833,
+      "step": 340
+    },
+    {
+      "epoch": 0.7658157602663707,
+      "grad_norm": 0.061296004900329354,
+      "learning_rate": 3.1375836213126653e-06,
+      "loss": 0.7547,
+      "mean_token_accuracy": 0.7708365795261976,
+      "step": 345
+    },
+    {
+      "epoch": 0.7769145394006659,
+      "grad_norm": 0.06086151158973008,
+      "learning_rate": 2.8607026544210115e-06,
+      "loss": 0.7449,
+      "mean_token_accuracy": 0.7737567810246656,
+      "step": 350
+    },
+    {
+      "epoch": 0.7880133185349611,
+      "grad_norm": 0.06066361422328344,
+      "learning_rate": 2.594559868909956e-06,
+      "loss": 0.7526,
+      "mean_token_accuracy": 0.7728921789426538,
+      "step": 355
+    },
+    {
+      "epoch": 0.7991120976692564,
+      "grad_norm": 0.061244946934632546,
+      "learning_rate": 2.339555568810221e-06,
+      "loss": 0.7428,
+      "mean_token_accuracy": 0.7745905285585644,
+      "step": 360
+    },
+    {
+      "epoch": 0.8102108768035516,
+      "grad_norm": 0.059950100330008936,
+      "learning_rate": 2.0960733048124082e-06,
+      "loss": 0.735,
+      "mean_token_accuracy": 0.7771190685426068,
+      "step": 365
+    },
+    {
+      "epoch": 0.8213096559378469,
+      "grad_norm": 0.062267646898023575,
+      "learning_rate": 1.8644792973703252e-06,
+      "loss": 0.757,
+      "mean_token_accuracy": 0.7711234095884432,
+      "step": 370
+    },
+    {
+      "epoch": 0.832408435072142,
+      "grad_norm": 0.05795250590930739,
+      "learning_rate": 1.6451218858706374e-06,
+      "loss": 0.7396,
+      "mean_token_accuracy": 0.7762826225755755,
+      "step": 375
+    },
+    {
+      "epoch": 0.8435072142064373,
+      "grad_norm": 0.05646366375927419,
+      "learning_rate": 1.4383310046973365e-06,
+      "loss": 0.742,
+      "mean_token_accuracy": 0.7754256081182773,
+      "step": 380
+    },
+    {
+      "epoch": 0.8546059933407325,
+      "grad_norm": 0.05933272693822518,
+      "learning_rate": 1.2444176869790925e-06,
+      "loss": 0.7457,
+      "mean_token_accuracy": 0.7742744235316502,
+      "step": 385
+    },
+    {
+      "epoch": 0.8657047724750278,
+      "grad_norm": 0.057540816299949595,
+      "learning_rate": 1.0636735967658785e-06,
+      "loss": 0.736,
+      "mean_token_accuracy": 0.7765978708392828,
+      "step": 390
+    },
+    {
+      "epoch": 0.876803551609323,
+      "grad_norm": 0.05844756012864216,
+      "learning_rate": 8.963705903385344e-07,
+      "loss": 0.7183,
+      "mean_token_accuracy": 0.7822006045277151,
+      "step": 395
+    },
+    {
+      "epoch": 0.8879023307436182,
+      "grad_norm": 0.05810320914079056,
+      "learning_rate": 7.427603073110967e-07,
+      "loss": 0.7442,
+      "mean_token_accuracy": 0.7742584918108283,
+      "step": 400
+    },
+    {
+      "epoch": 0.8879023307436182,
+      "eval_loss": 0.7638587951660156,
+      "eval_mean_token_accuracy": 0.7671856273651642,
+      "eval_runtime": 2.5128,
+      "eval_samples_per_second": 51.338,
+      "eval_steps_per_second": 4.378,
+      "step": 400
+    },
+    {
+      "epoch": 0.8990011098779135,
+      "grad_norm": 0.05687291272451405,
+      "learning_rate": 6.030737921409169e-07,
+      "loss": 0.7355,
+      "mean_token_accuracy": 0.7774604937569412,
+      "step": 405
+    },
+    {
+      "epoch": 0.9100998890122086,
+      "grad_norm": 0.05899588715439542,
+      "learning_rate": 4.775211466158469e-07,
+      "loss": 0.7319,
+      "mean_token_accuracy": 0.7774400412989902,
+      "step": 410
+    },
+    {
+      "epoch": 0.9211986681465039,
+      "grad_norm": 0.05577638815550462,
+      "learning_rate": 3.662912138411967e-07,
+      "loss": 0.7178,
+      "mean_token_accuracy": 0.7821916392303806,
+      "step": 415
+    },
+    {
+      "epoch": 0.9322974472807991,
+      "grad_norm": 0.05865365285983047,
+      "learning_rate": 2.6955129420176193e-07,
+      "loss": 0.7309,
+      "mean_token_accuracy": 0.778973121325068,
+      "step": 420
+    },
+    {
+      "epoch": 0.9433962264150944,
+      "grad_norm": 0.06038263301804733,
+      "learning_rate": 1.874468937261531e-07,
+      "loss": 0.7372,
+      "mean_token_accuracy": 0.7765551528106018,
+      "step": 425
+    },
+    {
+      "epoch": 0.9544950055493896,
+      "grad_norm": 0.059800638962906945,
+      "learning_rate": 1.201015052319099e-07,
+      "loss": 0.7291,
+      "mean_token_accuracy": 0.7794756294446461,
+      "step": 430
+    },
+    {
+      "epoch": 0.9655937846836848,
+      "grad_norm": 0.056012625483331906,
+      "learning_rate": 6.761642258056977e-08,
+      "loss": 0.7255,
+      "mean_token_accuracy": 0.7798846256811043,
+      "step": 435
+    },
+    {
+      "epoch": 0.97669256381798,
+      "grad_norm": 0.055552002158992475,
+      "learning_rate": 3.0070588322079765e-08,
+      "loss": 0.7351,
+      "mean_token_accuracy": 0.7766328434320331,
+      "step": 440
+    },
+    {
+      "epoch": 0.9877913429522752,
+      "grad_norm": 0.05677914033692145,
+      "learning_rate": 7.520474957699586e-09,
+      "loss": 0.7351,
+      "mean_token_accuracy": 0.7767306519256947,
+      "step": 445
+    },
+    {
+      "epoch": 0.9988901220865705,
+      "grad_norm": 0.06170289905752787,
+      "learning_rate": 0.0,
+      "loss": 0.7528,
+      "mean_token_accuracy": 0.7717083040396344,
+      "step": 450
+    },
+    {
+      "epoch": 0.9988901220865705,
+      "step": 450,
+      "total_flos": 6.086450124265882e+17,
+      "train_loss": 0.7795855527453952,
+      "train_runtime": 1563.698,
+      "train_samples_per_second": 13.828,
+      "train_steps_per_second": 0.288
+    }
+  ],
+  "logging_steps": 5,
+  "max_steps": 450,
+  "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": 6.086450124265882e+17,
+  "train_batch_size": 2,
+  "trial_name": null,
+  "trial_params": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:72122ccf30f93fbe97f780dc2c7f02967ca49a5b985b874b480e08ff0d47af57
+size 7416