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-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 +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +113 -0
- trainer_state.json +826 -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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*.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: 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/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-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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all_results.json
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{
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"total_flos": 185195202609152.0,
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}
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config.json
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{
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"_name_or_path": "Qwen/Qwen2.5-7B-Instruct",
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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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"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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|
12 |
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|
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|
20 |
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|
21 |
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|
22 |
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|
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|
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|
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|
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|
28 |
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|
30 |
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31 |
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|
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|
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|
36 |
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|
38 |
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140 |
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142 |
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|
144 |
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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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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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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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176 |
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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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|
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 |
+
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|
203 |
+
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|
204 |
+
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|
205 |
+
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|
206 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
207 |
+
"unk_token": null
|
208 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 1.991111111111111,
|
3 |
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"total_flos": 185195202609152.0,
|
4 |
+
"train_loss": 0.65867241738098,
|
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"train_runtime": 12992.6194,
|
6 |
+
"train_samples_per_second": 0.83,
|
7 |
+
"train_steps_per_second": 0.009
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,113 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 112, "loss": 0.9993, "lr": 1.6666666666666667e-06, "epoch": 0.017777777777777778, "percentage": 0.89, "elapsed_time": "0:02:05", "remaining_time": "3:52:28"}
|
2 |
+
{"current_steps": 2, "total_steps": 112, "loss": 1.0111, "lr": 3.3333333333333333e-06, "epoch": 0.035555555555555556, "percentage": 1.79, "elapsed_time": "0:04:08", "remaining_time": "3:47:30"}
|
3 |
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{"current_steps": 3, "total_steps": 112, "loss": 0.9858, "lr": 5e-06, "epoch": 0.05333333333333334, "percentage": 2.68, "elapsed_time": "0:05:54", "remaining_time": "3:34:27"}
|
4 |
+
{"current_steps": 4, "total_steps": 112, "loss": 0.9484, "lr": 6.666666666666667e-06, "epoch": 0.07111111111111111, "percentage": 3.57, "elapsed_time": "0:08:01", "remaining_time": "3:36:28"}
|
5 |
+
{"current_steps": 5, "total_steps": 112, "loss": 0.9376, "lr": 8.333333333333334e-06, "epoch": 0.08888888888888889, "percentage": 4.46, "elapsed_time": "0:09:54", "remaining_time": "3:31:57"}
|
6 |
+
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|
7 |
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|
8 |
+
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|
9 |
+
{"current_steps": 9, "total_steps": 112, "loss": 0.8395, "lr": 1.5000000000000002e-05, "epoch": 0.16, "percentage": 8.04, "elapsed_time": "0:17:14", "remaining_time": "3:17:22"}
|
10 |
+
{"current_steps": 10, "total_steps": 112, "loss": 0.8198, "lr": 1.6666666666666667e-05, "epoch": 0.17777777777777778, "percentage": 8.93, "elapsed_time": "0:19:15", "remaining_time": "3:16:25"}
|
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 |
+
{"current_steps": 18, "total_steps": 112, "loss": 0.7159, "lr": 1.982287250728689e-05, "epoch": 0.32, "percentage": 16.07, "elapsed_time": "0:34:36", "remaining_time": "3:00:42"}
|
19 |
+
{"current_steps": 19, "total_steps": 112, "loss": 0.7114, "lr": 1.9759167619387474e-05, "epoch": 0.3377777777777778, "percentage": 16.96, "elapsed_time": "0:36:33", "remaining_time": "2:58:58"}
|
20 |
+
{"current_steps": 20, "total_steps": 112, "loss": 0.7012, "lr": 1.9685831611286312e-05, "epoch": 0.35555555555555557, "percentage": 17.86, "elapsed_time": "0:38:17", "remaining_time": "2:56:07"}
|
21 |
+
{"current_steps": 21, "total_steps": 112, "loss": 0.6948, "lr": 1.9602936856769432e-05, "epoch": 0.37333333333333335, "percentage": 18.75, "elapsed_time": "0:40:00", "remaining_time": "2:53:21"}
|
22 |
+
{"current_steps": 22, "total_steps": 112, "loss": 0.7046, "lr": 1.9510565162951538e-05, "epoch": 0.39111111111111113, "percentage": 19.64, "elapsed_time": "0:42:05", "remaining_time": "2:52:12"}
|
23 |
+
{"current_steps": 23, "total_steps": 112, "loss": 0.7076, "lr": 1.9408807689542257e-05, "epoch": 0.4088888888888889, "percentage": 20.54, "elapsed_time": "0:44:00", "remaining_time": "2:50:16"}
|
24 |
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{"current_steps": 24, "total_steps": 112, "loss": 0.6983, "lr": 1.9297764858882516e-05, "epoch": 0.4266666666666667, "percentage": 21.43, "elapsed_time": "0:45:52", "remaining_time": "2:48:13"}
|
25 |
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{"current_steps": 25, "total_steps": 112, "loss": 0.6839, "lr": 1.9177546256839814e-05, "epoch": 0.4444444444444444, "percentage": 22.32, "elapsed_time": "0:47:44", "remaining_time": "2:46:06"}
|
26 |
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{"current_steps": 26, "total_steps": 112, "loss": 0.6768, "lr": 1.9048270524660197e-05, "epoch": 0.4622222222222222, "percentage": 23.21, "elapsed_time": "0:49:47", "remaining_time": "2:44:40"}
|
27 |
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{"current_steps": 27, "total_steps": 112, "loss": 0.6773, "lr": 1.891006524188368e-05, "epoch": 0.48, "percentage": 24.11, "elapsed_time": "0:51:44", "remaining_time": "2:42:54"}
|
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