Upload 16 files
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.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +209 -0
- train_results.json +8 -0
- trainer_log.jsonl +252 -0
- trainer_state.json +1792 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
- vocab.json +0 -0
.gitattributes
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@@ -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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library_name: transformers
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license: other
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base_model: Qwen/Qwen2.5-1.5B-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: qwen2.5-1.5b-intruct-metamath
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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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# qwen2.5-1.5b-intruct-metamath
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This model is a fine-tuned version of [../models/qwen2.5-1.5b-instruct](https://huggingface.co/../models/qwen2.5-1.5b-instruct) on the metamath 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: 2e-05
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- train_batch_size: 2
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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: 2
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- total_eval_batch_size: 16
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- optimizer: Use 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: 0.05
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.48.2
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- Pytorch 2.6.0+cu124
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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added_tokens.json
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{
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}
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 22262632857600.0,
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"train_loss": 0.14060430166721344,
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"train_runtime": 9775.4364,
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"train_samples_per_second": 8.184,
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"train_steps_per_second": 0.256
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}
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config.json
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{
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"_name_or_path": "../models/qwen2.5-1.5b-instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"hidden_act": "silu",
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"hidden_size": 1536,
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"initializer_range": 0.02,
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"intermediate_size": 8960,
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"max_position_embeddings": 32768,
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"max_window_layers": 21,
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"model_type": "qwen2",
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"num_attention_heads": 12,
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"num_hidden_layers": 28,
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"num_key_value_heads": 2,
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"tie_word_embeddings": true,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.48.2",
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 151936
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}
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generation_config.json
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"transformers_version": "4.48.2"
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}
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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.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38a4e4adf6e0509bb93909e0303f121b0ce8c603edb57d105b915bc837c5281d
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size 3087467144
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special_tokens_map.json
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{
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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size 11421896
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tokenizer_config.json
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|
93 |
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|
94 |
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95 |
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96 |
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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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"151663": {
|
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 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
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|
191 |
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"<|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 {{- '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": "<|im_end|>",
|
201 |
+
"errors": "replace",
|
202 |
+
"extra_special_tokens": {},
|
203 |
+
"model_max_length": 8192,
|
204 |
+
"pad_token": "<|endoftext|>",
|
205 |
+
"padding_side": "right",
|
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 |
+
"epoch": 2.0,
|
3 |
+
"total_flos": 22262632857600.0,
|
4 |
+
"train_loss": 0.14060430166721344,
|
5 |
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"train_runtime": 9775.4364,
|
6 |
+
"train_samples_per_second": 8.184,
|
7 |
+
"train_steps_per_second": 0.256
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,252 @@
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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": 10, "total_steps": 3750, "loss": 0.2236, "lr": 1.0638297872340427e-06, "epoch": 0.008, "percentage": 0.27, "elapsed_time": "0:00:41", "remaining_time": "4:19:24"}
|
2 |
+
{"current_steps": 10, "total_steps": 2500, "loss": 0.2223, "lr": 1.6000000000000001e-06, "epoch": 0.008, "percentage": 0.4, "elapsed_time": "0:00:41", "remaining_time": "2:51:36"}
|
3 |
+
{"current_steps": 20, "total_steps": 2500, "loss": 0.1771, "lr": 3.2000000000000003e-06, "epoch": 0.016, "percentage": 0.8, "elapsed_time": "0:01:20", "remaining_time": "2:45:35"}
|
4 |
+
{"current_steps": 30, "total_steps": 2500, "loss": 0.1598, "lr": 4.800000000000001e-06, "epoch": 0.024, "percentage": 1.2, "elapsed_time": "0:01:59", "remaining_time": "2:43:40"}
|
5 |
+
{"current_steps": 40, "total_steps": 2500, "loss": 0.1619, "lr": 6.4000000000000006e-06, "epoch": 0.032, "percentage": 1.6, "elapsed_time": "0:02:38", "remaining_time": "2:42:01"}
|
6 |
+
{"current_steps": 50, "total_steps": 2500, "loss": 0.1724, "lr": 8.000000000000001e-06, "epoch": 0.04, "percentage": 2.0, "elapsed_time": "0:03:16", "remaining_time": "2:40:47"}
|
7 |
+
{"current_steps": 60, "total_steps": 2500, "loss": 0.1781, "lr": 9.600000000000001e-06, "epoch": 0.048, "percentage": 2.4, "elapsed_time": "0:03:55", "remaining_time": "2:39:42"}
|
8 |
+
{"current_steps": 70, "total_steps": 2500, "loss": 0.1741, "lr": 1.1200000000000001e-05, "epoch": 0.056, "percentage": 2.8, "elapsed_time": "0:04:34", "remaining_time": "2:39:01"}
|
9 |
+
{"current_steps": 80, "total_steps": 2500, "loss": 0.1678, "lr": 1.2800000000000001e-05, "epoch": 0.064, "percentage": 3.2, "elapsed_time": "0:05:14", "remaining_time": "2:38:24"}
|
10 |
+
{"current_steps": 90, "total_steps": 2500, "loss": 0.1754, "lr": 1.4400000000000001e-05, "epoch": 0.072, "percentage": 3.6, "elapsed_time": "0:05:53", "remaining_time": "2:37:41"}
|
11 |
+
{"current_steps": 100, "total_steps": 2500, "loss": 0.1793, "lr": 1.6000000000000003e-05, "epoch": 0.08, "percentage": 4.0, "elapsed_time": "0:06:32", "remaining_time": "2:37:04"}
|
12 |
+
{"current_steps": 110, "total_steps": 2500, "loss": 0.1669, "lr": 1.76e-05, "epoch": 0.088, "percentage": 4.4, "elapsed_time": "0:07:12", "remaining_time": "2:36:26"}
|
13 |
+
{"current_steps": 120, "total_steps": 2500, "loss": 0.177, "lr": 1.9200000000000003e-05, "epoch": 0.096, "percentage": 4.8, "elapsed_time": "0:07:50", "remaining_time": "2:35:38"}
|
14 |
+
{"current_steps": 130, "total_steps": 2500, "loss": 0.1838, "lr": 1.9999781283802247e-05, "epoch": 0.104, "percentage": 5.2, "elapsed_time": "0:08:29", "remaining_time": "2:34:55"}
|
15 |
+
{"current_steps": 140, "total_steps": 2500, "loss": 0.2058, "lr": 1.999803161162393e-05, "epoch": 0.112, "percentage": 5.6, "elapsed_time": "0:09:08", "remaining_time": "2:34:09"}
|
16 |
+
{"current_steps": 150, "total_steps": 2500, "loss": 0.1953, "lr": 1.999453257340926e-05, "epoch": 0.12, "percentage": 6.0, "elapsed_time": "0:09:47", "remaining_time": "2:33:29"}
|
17 |
+
{"current_steps": 160, "total_steps": 2500, "loss": 0.1871, "lr": 1.9989284781388617e-05, "epoch": 0.128, "percentage": 6.4, "elapsed_time": "0:10:27", "remaining_time": "2:32:50"}
|
18 |
+
{"current_steps": 170, "total_steps": 2500, "loss": 0.1948, "lr": 1.9982289153773648e-05, "epoch": 0.136, "percentage": 6.8, "elapsed_time": "0:11:05", "remaining_time": "2:32:07"}
|
19 |
+
{"current_steps": 180, "total_steps": 2500, "loss": 0.1954, "lr": 1.9973546914596622e-05, "epoch": 0.144, "percentage": 7.2, "elapsed_time": "0:11:44", "remaining_time": "2:31:21"}
|
20 |
+
{"current_steps": 190, "total_steps": 2500, "loss": 0.1898, "lr": 1.996305959349627e-05, "epoch": 0.152, "percentage": 7.6, "elapsed_time": "0:12:23", "remaining_time": "2:30:41"}
|
21 |
+
{"current_steps": 200, "total_steps": 2500, "loss": 0.1903, "lr": 1.9950829025450116e-05, "epoch": 0.16, "percentage": 8.0, "elapsed_time": "0:13:02", "remaining_time": "2:30:00"}
|
22 |
+
{"current_steps": 210, "total_steps": 2500, "loss": 0.189, "lr": 1.993685735045343e-05, "epoch": 0.168, "percentage": 8.4, "elapsed_time": "0:13:41", "remaining_time": "2:29:14"}
|
23 |
+
{"current_steps": 220, "total_steps": 2500, "loss": 0.202, "lr": 1.9921147013144782e-05, "epoch": 0.176, "percentage": 8.8, "elapsed_time": "0:14:20", "remaining_time": "2:28:36"}
|
24 |
+
{"current_steps": 230, "total_steps": 2500, "loss": 0.1906, "lr": 1.9903700762378303e-05, "epoch": 0.184, "percentage": 9.2, "elapsed_time": "0:14:59", "remaining_time": "2:27:56"}
|
25 |
+
{"current_steps": 240, "total_steps": 2500, "loss": 0.1818, "lr": 1.9884521650742718e-05, "epoch": 0.192, "percentage": 9.6, "elapsed_time": "0:15:38", "remaining_time": "2:27:20"}
|
26 |
+
{"current_steps": 250, "total_steps": 2500, "loss": 0.1828, "lr": 1.9863613034027224e-05, "epoch": 0.2, "percentage": 10.0, "elapsed_time": "0:16:17", "remaining_time": "2:26:40"}
|
27 |
+
{"current_steps": 260, "total_steps": 2500, "loss": 0.1998, "lr": 1.9840978570634338e-05, "epoch": 0.208, "percentage": 10.4, "elapsed_time": "0:16:57", "remaining_time": "2:26:03"}
|
28 |
+
{"current_steps": 270, "total_steps": 2500, "loss": 0.1864, "lr": 1.9816622220939762e-05, "epoch": 0.216, "percentage": 10.8, "elapsed_time": "0:17:36", "remaining_time": "2:25:23"}
|
29 |
+
{"current_steps": 280, "total_steps": 2500, "loss": 0.1892, "lr": 1.9790548246599447e-05, "epoch": 0.224, "percentage": 11.2, "elapsed_time": "0:18:15", "remaining_time": "2:24:45"}
|
30 |
+
{"current_steps": 290, "total_steps": 2500, "loss": 0.1884, "lr": 1.976276120980393e-05, "epoch": 0.232, "percentage": 11.6, "elapsed_time": "0:18:54", "remaining_time": "2:24:03"}
|
31 |
+
{"current_steps": 300, "total_steps": 2500, "loss": 0.1978, "lr": 1.973326597248006e-05, "epoch": 0.24, "percentage": 12.0, "elapsed_time": "0:19:33", "remaining_time": "2:23:25"}
|
32 |
+
{"current_steps": 310, "total_steps": 2500, "loss": 0.1883, "lr": 1.9702067695440333e-05, "epoch": 0.248, "percentage": 12.4, "elapsed_time": "0:20:12", "remaining_time": "2:22:48"}
|
33 |
+
{"current_steps": 320, "total_steps": 2500, "loss": 0.1898, "lr": 1.966917183747987e-05, "epoch": 0.256, "percentage": 12.8, "elapsed_time": "0:20:51", "remaining_time": "2:22:07"}
|
34 |
+
{"current_steps": 330, "total_steps": 2500, "loss": 0.1949, "lr": 1.9634584154421316e-05, "epoch": 0.264, "percentage": 13.2, "elapsed_time": "0:21:30", "remaining_time": "2:21:27"}
|
35 |
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{"current_steps": 340, "total_steps": 2500, "loss": 0.1855, "lr": 1.95983106981077e-05, "epoch": 0.272, "percentage": 13.6, "elapsed_time": "0:22:09", "remaining_time": "2:20:46"}
|
36 |
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{"current_steps": 350, "total_steps": 2500, "loss": 0.1887, "lr": 1.9560357815343577e-05, "epoch": 0.28, "percentage": 14.0, "elapsed_time": "0:22:48", "remaining_time": "2:20:08"}
|
37 |
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{"current_steps": 360, "total_steps": 2500, "loss": 0.1875, "lr": 1.9520732146784493e-05, "epoch": 0.288, "percentage": 14.4, "elapsed_time": "0:23:28", "remaining_time": "2:19:30"}
|
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|
trainer_state.json
ADDED
@@ -0,0 +1,1792 @@
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