Upload model
Browse files- .gitattributes +1 -0
- README.md +61 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -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
- runs/Apr26_19-03-53_jpbot-001-22.jupiter.internal/events.out.tfevents.1745687066.jpbot-001-22.jupiter.internal.1729184.0 +3 -0
- special_tokens_map.json +31 -0
- start_end.json +1 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +131 -0
- trainer_state.json +952 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
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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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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-7B-Instruct
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tags:
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- llama-factory
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- full
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- generated_from_trainer
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model-index:
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- name: b2_code_fasttext_pos_codeforces_neg_codereview_0.3k
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# b2_code_fasttext_pos_codeforces_neg_codereview_0.3k
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This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) on the mlfoundations-dev/b2_code_fasttext_pos_codeforces_neg_codereview_0.3k dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 1
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 16
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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- total_eval_batch_size: 128
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 13.0
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### Training results
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### Framework versions
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- Transformers 4.46.1
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- Pytorch 2.6.0a0+ecf3bae40a.nv25.01
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- Datasets 3.5.0
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- Tokenizers 0.20.3
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added_tokens.json
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all_results.json
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{
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"total_flos": 7.177620479279104e+16,
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}
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config.json
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{
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"_name_or_path": "/p/data1/mmlaion/dcft/hub/models--Qwen--Qwen2.5-7B-Instruct/snapshots/a09a35458c702b33eeacc393d103063234e8bc28",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"max_position_embeddings": 32768,
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"max_window_layers": 28,
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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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"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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|
1 |
+
{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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|
17 |
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|
18 |
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|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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|
45 |
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|
46 |
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47 |
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|
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|
50 |
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|
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|
52 |
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58 |
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59 |
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|
60 |
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|
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|
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|
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|
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|
68 |
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|
70 |
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74 |
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|
76 |
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77 |
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|
78 |
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79 |
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80 |
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|
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|
82 |
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|
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|
84 |
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|
86 |
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|
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88 |
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|
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|
90 |
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|
92 |
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93 |
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|
94 |
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|
95 |
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|
96 |
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97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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|
102 |
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|
103 |
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|
104 |
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|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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|
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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|
118 |
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|
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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|
126 |
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|
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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|
134 |
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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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|
143 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
151 |
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|
152 |
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|
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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|
158 |
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159 |
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|
160 |
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|
161 |
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|
162 |
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|
163 |
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|
164 |
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|
165 |
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|
166 |
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|
167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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|
181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
+
"<|vision_pad|>",
|
194 |
+
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|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
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"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 {{- '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",
|
199 |
+
"clean_up_tokenization_spaces": false,
|
200 |
+
"eos_token": "<|endoftext|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"model_max_length": 131072,
|
203 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
205 |
+
"split_special_tokens": false,
|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 13.0,
|
3 |
+
"total_flos": 7.177620479279104e+16,
|
4 |
+
"train_loss": 0.4257054453858962,
|
5 |
+
"train_runtime": 1962.7651,
|
6 |
+
"train_samples_per_second": 2.093,
|
7 |
+
"train_steps_per_second": 0.066
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,131 @@
|
|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
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|
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|
|
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|
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|
|
|
1 |
+
{"current_steps": 1, "total_steps": 130, "loss": 1.0549, "lr": 7.692307692307694e-07, "epoch": 0.1, "percentage": 0.77, "elapsed_time": "0:00:22", "remaining_time": "0:47:19"}
|
2 |
+
{"current_steps": 2, "total_steps": 130, "loss": 1.0511, "lr": 1.5384615384615387e-06, "epoch": 0.2, "percentage": 1.54, "elapsed_time": "0:00:34", "remaining_time": "0:36:52"}
|
3 |
+
{"current_steps": 3, "total_steps": 130, "loss": 1.0383, "lr": 2.307692307692308e-06, "epoch": 0.3, "percentage": 2.31, "elapsed_time": "0:00:47", "remaining_time": "0:33:51"}
|
4 |
+
{"current_steps": 4, "total_steps": 130, "loss": 0.9997, "lr": 3.0769230769230774e-06, "epoch": 0.4, "percentage": 3.08, "elapsed_time": "0:01:01", "remaining_time": "0:32:23"}
|
5 |
+
{"current_steps": 5, "total_steps": 130, "loss": 0.9823, "lr": 3.846153846153847e-06, "epoch": 0.5, "percentage": 3.85, "elapsed_time": "0:01:15", "remaining_time": "0:31:15"}
|
6 |
+
{"current_steps": 6, "total_steps": 130, "loss": 0.9848, "lr": 4.615384615384616e-06, "epoch": 0.6, "percentage": 4.62, "elapsed_time": "0:01:25", "remaining_time": "0:29:17"}
|
7 |
+
{"current_steps": 7, "total_steps": 130, "loss": 0.9749, "lr": 5.384615384615385e-06, "epoch": 0.7, "percentage": 5.38, "elapsed_time": "0:01:38", "remaining_time": "0:28:52"}
|
8 |
+
{"current_steps": 8, "total_steps": 130, "loss": 0.9146, "lr": 6.153846153846155e-06, "epoch": 0.8, "percentage": 6.15, "elapsed_time": "0:01:51", "remaining_time": "0:28:27"}
|
9 |
+
{"current_steps": 9, "total_steps": 130, "loss": 0.9845, "lr": 6.923076923076923e-06, "epoch": 0.9, "percentage": 6.92, "elapsed_time": "0:02:05", "remaining_time": "0:28:01"}
|
10 |
+
{"current_steps": 10, "total_steps": 130, "loss": 0.9391, "lr": 7.692307692307694e-06, "epoch": 1.0, "percentage": 7.69, "elapsed_time": "0:02:18", "remaining_time": "0:27:44"}
|
11 |
+
{"current_steps": 11, "total_steps": 130, "loss": 0.8903, "lr": 8.461538461538462e-06, "epoch": 1.1, "percentage": 8.46, "elapsed_time": "0:02:52", "remaining_time": "0:31:10"}
|
12 |
+
{"current_steps": 12, "total_steps": 130, "loss": 0.853, "lr": 9.230769230769232e-06, "epoch": 1.2, "percentage": 9.23, "elapsed_time": "0:03:06", "remaining_time": "0:30:30"}
|
13 |
+
{"current_steps": 13, "total_steps": 130, "loss": 0.8749, "lr": 1e-05, "epoch": 1.3, "percentage": 10.0, "elapsed_time": "0:03:19", "remaining_time": "0:29:56"}
|
14 |
+
{"current_steps": 14, "total_steps": 130, "loss": 0.8362, "lr": 9.998197638354428e-06, "epoch": 1.4, "percentage": 10.77, "elapsed_time": "0:03:31", "remaining_time": "0:29:16"}
|
15 |
+
{"current_steps": 15, "total_steps": 130, "loss": 0.7995, "lr": 9.992791852820709e-06, "epoch": 1.5, "percentage": 11.54, "elapsed_time": "0:03:45", "remaining_time": "0:28:48"}
|
16 |
+
{"current_steps": 16, "total_steps": 130, "loss": 0.8066, "lr": 9.983786540671052e-06, "epoch": 1.6, "percentage": 12.31, "elapsed_time": "0:03:53", "remaining_time": "0:27:45"}
|
17 |
+
{"current_steps": 17, "total_steps": 130, "loss": 0.8256, "lr": 9.971188194237141e-06, "epoch": 1.7, "percentage": 13.08, "elapsed_time": "0:04:06", "remaining_time": "0:27:16"}
|
18 |
+
{"current_steps": 18, "total_steps": 130, "loss": 0.7774, "lr": 9.955005896229543e-06, "epoch": 1.8, "percentage": 13.85, "elapsed_time": "0:04:20", "remaining_time": "0:26:59"}
|
19 |
+
{"current_steps": 19, "total_steps": 130, "loss": 0.7615, "lr": 9.935251313189564e-06, "epoch": 1.9, "percentage": 14.62, "elapsed_time": "0:04:34", "remaining_time": "0:26:40"}
|
20 |
+
{"current_steps": 20, "total_steps": 130, "loss": 0.7339, "lr": 9.911938687078324e-06, "epoch": 2.0, "percentage": 15.38, "elapsed_time": "0:04:47", "remaining_time": "0:26:20"}
|
21 |
+
{"current_steps": 21, "total_steps": 130, "loss": 0.6831, "lr": 9.885084825009085e-06, "epoch": 2.1, "percentage": 16.15, "elapsed_time": "0:05:25", "remaining_time": "0:28:07"}
|
22 |
+
{"current_steps": 22, "total_steps": 130, "loss": 0.7157, "lr": 9.854709087130261e-06, "epoch": 2.2, "percentage": 16.92, "elapsed_time": "0:05:37", "remaining_time": "0:27:38"}
|
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