Model save
Browse files- .gitattributes +1 -0
- README.md +68 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +30 -0
- generation_config.json +6 -0
- merges.txt +0 -0
- model-00001-of-00004.safetensors +3 -0
- model-00002-of-00004.safetensors +3 -0
- model-00003-of-00004.safetensors +3 -0
- model-00004-of-00004.safetensors +3 -0
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +209 -0
- train_results.json +8 -0
- trainer_state.json +1104 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: Qwen/Qwen2.5-Math-7B
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library_name: transformers
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model_name: Qwen-2.5-7B-Simple-RL
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tags:
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- generated_from_trainer
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- trl
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- grpo
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licence: license
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---
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# Model Card for Qwen-2.5-7B-Simple-RL
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This model is a fine-tuned version of [Qwen/Qwen2.5-Math-7B](https://huggingface.co/Qwen/Qwen2.5-Math-7B).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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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?"
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generator = pipeline("text-generation", model="jlchen-c/Qwen-2.5-7B-Simple-RL", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<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/jun-liang-chen-the-hong-kong-polytechnic-university/huggingface/runs/czqrqax3)
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This model was trained with GRPO, a method introduced in [DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models](https://huggingface.co/papers/2402.03300).
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### Framework versions
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- TRL: 0.15.0.dev0
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- Transformers: 4.49.0.dev0
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- Pytorch: 2.5.1
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- Datasets: 3.2.0
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- Tokenizers: 0.21.0
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## Citations
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Cite GRPO as:
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```bibtex
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@article{zhihong2024deepseekmath,
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title = {{DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models}},
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author = {Zhihong Shao and Peiyi Wang and Qihao Zhu and Runxin Xu and Junxiao Song and Mingchuan Zhang and Y. K. Li and Y. Wu and Daya Guo},
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year = 2024,
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eprint = {arXiv:2402.03300},
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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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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},
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year = 2020,
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journal = {GitHub repository},
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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added_tokens.json
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all_results.json
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{
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"train_steps_per_second": 0.001
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}
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config.json
ADDED
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{
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"_name_or_path": "Qwen/Qwen2.5-Math-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"model_type": "qwen2",
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"num_attention_heads": 28,
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"num_hidden_layers": 28,
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"num_key_value_heads": 4,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"sliding_window": null,
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.49.0.dev0",
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"use_cache": false,
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"vocab_size": 152064
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}
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generation_config.json
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00004.safetensors
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_prefix_space": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"151643": {
|
6 |
+
"content": "<|endoftext|>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"151644": {
|
14 |
+
"content": "<|im_start|>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"151645": {
|
22 |
+
"content": "<|im_end|>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
},
|
29 |
+
"151646": {
|
30 |
+
"content": "<|object_ref_start|>",
|
31 |
+
"lstrip": false,
|
32 |
+
"normalized": false,
|
33 |
+
"rstrip": false,
|
34 |
+
"single_word": false,
|
35 |
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"special": true
|
36 |
+
},
|
37 |
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"151647": {
|
38 |
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"content": "<|object_ref_end|>",
|
39 |
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|
40 |
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"normalized": false,
|
41 |
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|
42 |
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|
43 |
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"special": true
|
44 |
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},
|
45 |
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"151648": {
|
46 |
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"content": "<|box_start|>",
|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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|
52 |
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|
53 |
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|
54 |
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|
55 |
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|
56 |
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|
57 |
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|
58 |
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|
59 |
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|
60 |
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|
61 |
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"151650": {
|
62 |
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"content": "<|quad_start|>",
|
63 |
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|
64 |
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|
65 |
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|
66 |
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|
67 |
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|
68 |
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|
69 |
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"151651": {
|
70 |
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"content": "<|quad_end|>",
|
71 |
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|
72 |
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|
73 |
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|
74 |
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|
75 |
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"special": true
|
76 |
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},
|
77 |
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"151652": {
|
78 |
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"content": "<|vision_start|>",
|
79 |
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|
80 |
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|
81 |
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|
82 |
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|
83 |
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|
84 |
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},
|
85 |
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"151653": {
|
86 |
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"content": "<|vision_end|>",
|
87 |
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|
88 |
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|
89 |
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|
90 |
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"single_word": false,
|
91 |
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"special": true
|
92 |
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|
93 |
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"151654": {
|
94 |
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"content": "<|vision_pad|>",
|
95 |
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|
96 |
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"normalized": false,
|
97 |
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|
98 |
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|
99 |
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"special": true
|
100 |
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},
|
101 |
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"151655": {
|
102 |
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"content": "<|image_pad|>",
|
103 |
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"lstrip": false,
|
104 |
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"normalized": false,
|
105 |
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"rstrip": false,
|
106 |
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|
107 |
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|
108 |
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},
|
109 |
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"151656": {
|
110 |
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"content": "<|video_pad|>",
|
111 |
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|
112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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},
|
117 |
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"151657": {
|
118 |
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"content": "<tool_call>",
|
119 |
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|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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},
|
125 |
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"151658": {
|
126 |
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"content": "</tool_call>",
|
127 |
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|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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},
|
133 |
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"151659": {
|
134 |
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"content": "<|fim_prefix|>",
|
135 |
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|
136 |
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|
137 |
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|
138 |
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|
139 |
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|
140 |
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},
|
141 |
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|
142 |
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"content": "<|fim_middle|>",
|
143 |
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|
144 |
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|
145 |
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|
146 |
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"single_word": false,
|
147 |
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"special": false
|
148 |
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},
|
149 |
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"151661": {
|
150 |
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"content": "<|fim_suffix|>",
|
151 |
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|
152 |
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"normalized": false,
|
153 |
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|
154 |
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|
155 |
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|
156 |
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},
|
157 |
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"151662": {
|
158 |
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"content": "<|fim_pad|>",
|
159 |
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"lstrip": false,
|
160 |
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"normalized": false,
|
161 |
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"rstrip": false,
|
162 |
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"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system\\n' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'Please reason step by step, and put your final answer within \\\\boxed{}.' }}\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\\nPlease reason step by step, and put your final answer within \\\\boxed{}.<|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",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|endoftext|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 131072,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"padding_side": "left",
|
206 |
+
"split_special_tokens": false,
|
207 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
208 |
+
"unk_token": null
|
209 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"total_flos": 0.0,
|
3 |
+
"train_loss": 0.027036830155200475,
|
4 |
+
"train_runtime": 281082.0852,
|
5 |
+
"train_samples": 7500,
|
6 |
+
"train_samples_per_second": 0.027,
|
7 |
+
"train_steps_per_second": 0.001
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1104 @@
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