Upload folder using huggingface_hub
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-00014.safetensors +3 -0
- model-00002-of-00014.safetensors +3 -0
- model-00003-of-00014.safetensors +3 -0
- model-00004-of-00014.safetensors +3 -0
- model-00005-of-00014.safetensors +3 -0
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- model-00007-of-00014.safetensors +3 -0
- model-00008-of-00014.safetensors +3 -0
- model-00009-of-00014.safetensors +3 -0
- model-00010-of-00014.safetensors +3 -0
- model-00011-of-00014.safetensors +3 -0
- model-00012-of-00014.safetensors +3 -0
- model-00013-of-00014.safetensors +3 -0
- model-00014-of-00014.safetensors +3 -0
- model.safetensors.index.json +778 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +300 -0
- trainer_state.json +1498 -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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*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/Qwen2.5-32B-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: original
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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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# original
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This model is a fine-tuned version of [Qwen/Qwen2.5-32B-Instruct](https://huggingface.co/Qwen/Qwen2.5-32B-Instruct) on the Sky-T1 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: 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: 8
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- gradient_accumulation_steps: 12
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- total_train_batch_size: 96
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- total_eval_batch_size: 64
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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: 0.1
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- num_epochs: 2.0
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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 2.4.0a0+f70bd71a48.nv24.06
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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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": 1.9952038369304557,
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"total_flos": 716120051679232.0,
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"train_loss": 0.4522540926073606,
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"train_samples_per_second": 0.278,
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"train_steps_per_second": 0.003
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-32B-Instruct",
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"architectures": [
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"Qwen2ForCausalLM"
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],
|
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 27648,
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"max_position_embeddings": 32768,
|
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"max_window_layers": 70,
|
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"model_type": "qwen2",
|
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"num_attention_heads": 40,
|
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"num_hidden_layers": 64,
|
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"num_key_value_heads": 8,
|
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"rms_norm_eps": 1e-06,
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"rope_scaling": null,
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"rope_theta": 1000000.0,
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"sliding_window": null,
|
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
|
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"transformers_version": "4.46.1",
|
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"use_cache": false,
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"use_sliding_window": false,
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"vocab_size": 152064
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}
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generation_config.json
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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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|
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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|
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|
42 |
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|
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|
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|
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|
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|
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|
52 |
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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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|
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|
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|
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134 |
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140 |
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144 |
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|
146 |
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147 |
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149 |
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|
150 |
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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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|
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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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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 |
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|
194 |
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|
195 |
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"<|video_pad|>"
|
196 |
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|
197 |
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|
198 |
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"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 @@
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|
1 |
+
{
|
2 |
+
"epoch": 1.9952038369304557,
|
3 |
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"total_flos": 716120051679232.0,
|
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"train_loss": 0.4522540926073606,
|
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"train_runtime": 71993.7308,
|
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"train_samples_per_second": 0.278,
|
7 |
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"train_steps_per_second": 0.003
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,300 @@
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|
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|
1 |
+
{"current_steps": 1, "total_steps": 208, "loss": 0.7408, "lr": 9.523809523809525e-07, "epoch": 0.009592326139088728, "percentage": 0.48, "elapsed_time": "0:05:17", "remaining_time": "18:15:41"}
|
2 |
+
{"current_steps": 2, "total_steps": 208, "loss": 0.7838, "lr": 1.904761904761905e-06, "epoch": 0.019184652278177457, "percentage": 0.96, "elapsed_time": "0:10:32", "remaining_time": "18:05:21"}
|
3 |
+
{"current_steps": 3, "total_steps": 208, "loss": 0.7864, "lr": 2.8571428571428573e-06, "epoch": 0.02877697841726619, "percentage": 1.44, "elapsed_time": "0:16:16", "remaining_time": "18:31:56"}
|
4 |
+
{"current_steps": 4, "total_steps": 208, "loss": 0.7749, "lr": 3.80952380952381e-06, "epoch": 0.03836930455635491, "percentage": 1.92, "elapsed_time": "0:22:25", "remaining_time": "19:03:52"}
|
5 |
+
{"current_steps": 5, "total_steps": 208, "loss": 0.7393, "lr": 4.761904761904762e-06, "epoch": 0.047961630695443645, "percentage": 2.4, "elapsed_time": "0:27:34", "remaining_time": "18:39:19"}
|
6 |
+
{"current_steps": 6, "total_steps": 208, "loss": 0.7485, "lr": 5.7142857142857145e-06, "epoch": 0.05755395683453238, "percentage": 2.88, "elapsed_time": "0:34:20", "remaining_time": "19:16:22"}
|
7 |
+
{"current_steps": 7, "total_steps": 208, "loss": 0.7022, "lr": 6.666666666666667e-06, "epoch": 0.0671462829736211, "percentage": 3.37, "elapsed_time": "0:39:34", "remaining_time": "18:56:25"}
|
8 |
+
{"current_steps": 8, "total_steps": 208, "loss": 0.6913, "lr": 7.61904761904762e-06, "epoch": 0.07673860911270983, "percentage": 3.85, "elapsed_time": "0:44:30", "remaining_time": "18:32:39"}
|
9 |
+
{"current_steps": 9, "total_steps": 208, "loss": 0.7048, "lr": 8.571428571428571e-06, "epoch": 0.08633093525179857, "percentage": 4.33, "elapsed_time": "0:50:35", "remaining_time": "18:38:43"}
|
10 |
+
{"current_steps": 10, "total_steps": 208, "loss": 0.6192, "lr": 9.523809523809525e-06, "epoch": 0.09592326139088729, "percentage": 4.81, "elapsed_time": "0:56:22", "remaining_time": "18:36:11"}
|
11 |
+
{"current_steps": 11, "total_steps": 208, "loss": 0.6308, "lr": 1.0476190476190477e-05, "epoch": 0.10551558752997602, "percentage": 5.29, "elapsed_time": "1:01:59", "remaining_time": "18:30:20"}
|
12 |
+
{"current_steps": 12, "total_steps": 208, "loss": 0.608, "lr": 1.1428571428571429e-05, "epoch": 0.11510791366906475, "percentage": 5.77, "elapsed_time": "1:07:23", "remaining_time": "18:20:40"}
|
13 |
+
{"current_steps": 13, "total_steps": 208, "loss": 0.6213, "lr": 1.2380952380952383e-05, "epoch": 0.12470023980815348, "percentage": 6.25, "elapsed_time": "1:14:00", "remaining_time": "18:30:14"}
|
14 |
+
{"current_steps": 14, "total_steps": 208, "loss": 0.6082, "lr": 1.3333333333333333e-05, "epoch": 0.1342925659472422, "percentage": 6.73, "elapsed_time": "1:19:47", "remaining_time": "18:25:37"}
|
15 |
+
{"current_steps": 15, "total_steps": 208, "loss": 0.5867, "lr": 1.4285714285714287e-05, "epoch": 0.14388489208633093, "percentage": 7.21, "elapsed_time": "1:25:14", "remaining_time": "18:16:50"}
|
16 |
+
{"current_steps": 16, "total_steps": 208, "loss": 0.584, "lr": 1.523809523809524e-05, "epoch": 0.15347721822541965, "percentage": 7.69, "elapsed_time": "1:31:26", "remaining_time": "18:17:21"}
|
17 |
+
{"current_steps": 17, "total_steps": 208, "loss": 0.5702, "lr": 1.6190476190476193e-05, "epoch": 0.1630695443645084, "percentage": 8.17, "elapsed_time": "1:36:32", "remaining_time": "18:04:41"}
|
18 |
+
{"current_steps": 18, "total_steps": 208, "loss": 0.5572, "lr": 1.7142857142857142e-05, "epoch": 0.17266187050359713, "percentage": 8.65, "elapsed_time": "1:41:11", "remaining_time": "17:48:08"}
|
19 |
+
{"current_steps": 19, "total_steps": 208, "loss": 0.5825, "lr": 1.8095238095238097e-05, "epoch": 0.18225419664268586, "percentage": 9.13, "elapsed_time": "1:46:45", "remaining_time": "17:41:59"}
|
20 |
+
{"current_steps": 20, "total_steps": 208, "loss": 0.5305, "lr": 1.904761904761905e-05, "epoch": 0.19184652278177458, "percentage": 9.62, "elapsed_time": "1:52:38", "remaining_time": "17:38:47"}
|
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|
trainer_state.json
ADDED
@@ -0,0 +1,1498 @@
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