Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README1.md +61 -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 +208 -0
- train_results.json +8 -0
- trainer_log.jsonl +24 -0
- trainer_state.json +203 -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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*.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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README1.md
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---
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library_name: transformers
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license: other
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base_model: /gpfs/public/01/models/hf_models/Qwen2.5-7B
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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: en_train_1,zh_train_1,ted_zh_256+20250206-013855
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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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# en_train_1,zh_train_1,ted_zh_256+20250206-013855
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This model is a fine-tuned version of [/gpfs/public/01/models/hf_models/Qwen2.5-7B](https://huggingface.co//gpfs/public/01/models/hf_models/Qwen2.5-7B) on the en_train_1, the zh_train_1 and the ted_zh_256 datasets.
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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: 8
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- gradient_accumulation_steps: 64
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- total_train_batch_size: 1024
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- total_eval_batch_size: 64
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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: 0.04
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- num_epochs: 3.0
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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 2.4.0+cu121
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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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config.json
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{
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"_name_or_path": "/gpfs/public/01/models/hf_models/Qwen2.5-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"max_position_embeddings": 131072,
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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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|
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|
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|
20 |
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|
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|
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|
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|
28 |
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|
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|
36 |
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|
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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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171 |
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|
172 |
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173 |
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174 |
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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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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 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 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 |
+
"pad_token": "<|endoftext|>",
|
204 |
+
"padding_side": "right",
|
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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|
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|
|
|
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|
|
|
|
|
|
|
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|
1 |
+
{
|
2 |
+
"epoch": 2.9892215568862275,
|
3 |
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"total_flos": 1.7798550633054208e+19,
|
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"train_loss": 0.8496832348342634,
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"train_runtime": 15538.8132,
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"train_samples_per_second": 15.476,
|
7 |
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"train_steps_per_second": 0.015
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,24 @@
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|
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|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 10, "total_steps": 234, "loss": 1.0154, "lr": 2e-05, "epoch": 0.1277445109780439, "percentage": 4.27, "elapsed_time": "0:11:11", "remaining_time": "4:10:35"}
|
2 |
+
{"current_steps": 20, "total_steps": 234, "loss": 0.9669, "lr": 1.9901811253364458e-05, "epoch": 0.2554890219560878, "percentage": 8.55, "elapsed_time": "0:22:06", "remaining_time": "3:56:31"}
|
3 |
+
{"current_steps": 30, "total_steps": 234, "loss": 0.9381, "lr": 1.9609173219450998e-05, "epoch": 0.38323353293413176, "percentage": 12.82, "elapsed_time": "0:32:56", "remaining_time": "3:44:02"}
|
4 |
+
{"current_steps": 40, "total_steps": 234, "loss": 0.9237, "lr": 1.912783265061319e-05, "epoch": 0.5109780439121756, "percentage": 17.09, "elapsed_time": "0:44:00", "remaining_time": "3:33:28"}
|
5 |
+
{"current_steps": 50, "total_steps": 234, "loss": 0.9297, "lr": 1.8467241992282842e-05, "epoch": 0.6387225548902196, "percentage": 21.37, "elapsed_time": "0:54:58", "remaining_time": "3:22:19"}
|
6 |
+
{"current_steps": 60, "total_steps": 234, "loss": 0.925, "lr": 1.7640373758216075e-05, "epoch": 0.7664670658682635, "percentage": 25.64, "elapsed_time": "1:06:01", "remaining_time": "3:11:28"}
|
7 |
+
{"current_steps": 70, "total_steps": 234, "loss": 0.922, "lr": 1.6663465779520042e-05, "epoch": 0.8942115768463074, "percentage": 29.91, "elapsed_time": "1:17:08", "remaining_time": "3:00:44"}
|
8 |
+
{"current_steps": 80, "total_steps": 234, "loss": 0.9709, "lr": 1.5555702330196024e-05, "epoch": 1.0219560878243512, "percentage": 34.19, "elapsed_time": "1:28:02", "remaining_time": "2:49:28"}
|
9 |
+
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|
10 |
+
{"current_steps": 100, "total_steps": 234, "loss": 0.8256, "lr": 1.3036767451096148e-05, "epoch": 1.2774451097804391, "percentage": 42.74, "elapsed_time": "1:50:15", "remaining_time": "2:27:44"}
|
11 |
+
{"current_steps": 110, "total_steps": 234, "loss": 0.8145, "lr": 1.1675062233047365e-05, "epoch": 1.405189620758483, "percentage": 47.01, "elapsed_time": "2:01:16", "remaining_time": "2:16:42"}
|
12 |
+
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|
13 |
+
{"current_steps": 130, "total_steps": 234, "loss": 0.8249, "lr": 8.880355238966923e-06, "epoch": 1.6606786427145708, "percentage": 55.56, "elapsed_time": "2:23:13", "remaining_time": "1:54:34"}
|
14 |
+
{"current_steps": 140, "total_steps": 234, "loss": 0.8265, "lr": 7.50223521832773e-06, "epoch": 1.7884231536926147, "percentage": 59.83, "elapsed_time": "2:34:20", "remaining_time": "1:43:37"}
|
15 |
+
{"current_steps": 150, "total_steps": 234, "loss": 0.8235, "lr": 6.173165676349103e-06, "epoch": 1.9161676646706587, "percentage": 64.1, "elapsed_time": "2:45:19", "remaining_time": "1:32:35"}
|
16 |
+
{"current_steps": 160, "total_steps": 234, "loss": 0.871, "lr": 4.919246547534709e-06, "epoch": 2.0439121756487024, "percentage": 68.38, "elapsed_time": "2:56:05", "remaining_time": "1:21:26"}
|
17 |
+
{"current_steps": 170, "total_steps": 234, "loss": 0.7634, "lr": 3.7651019814126656e-06, "epoch": 2.1716566866267466, "percentage": 72.65, "elapsed_time": "3:07:07", "remaining_time": "1:10:26"}
|
18 |
+
{"current_steps": 180, "total_steps": 234, "loss": 0.7612, "lr": 2.7333967796597317e-06, "epoch": 2.2994011976047903, "percentage": 76.92, "elapsed_time": "3:18:11", "remaining_time": "0:59:27"}
|
19 |
+
{"current_steps": 190, "total_steps": 234, "loss": 0.7591, "lr": 1.8443913104073984e-06, "epoch": 2.4271457085828345, "percentage": 81.2, "elapsed_time": "3:29:20", "remaining_time": "0:48:28"}
|
20 |
+
{"current_steps": 200, "total_steps": 234, "loss": 0.7653, "lr": 1.1155436402112785e-06, "epoch": 2.5548902195608783, "percentage": 85.47, "elapsed_time": "3:40:23", "remaining_time": "0:37:27"}
|
21 |
+
{"current_steps": 210, "total_steps": 234, "loss": 0.7702, "lr": 5.611666969163243e-07, "epoch": 2.682634730538922, "percentage": 89.74, "elapsed_time": "3:51:16", "remaining_time": "0:26:25"}
|
22 |
+
{"current_steps": 220, "total_steps": 234, "loss": 0.7627, "lr": 1.921471959676957e-07, "epoch": 2.810379241516966, "percentage": 94.02, "elapsed_time": "4:02:16", "remaining_time": "0:15:25"}
|
23 |
+
{"current_steps": 230, "total_steps": 234, "loss": 0.7579, "lr": 1.5731849821833955e-08, "epoch": 2.93812375249501, "percentage": 98.29, "elapsed_time": "4:13:25", "remaining_time": "0:04:24"}
|
24 |
+
{"current_steps": 234, "total_steps": 234, "epoch": 2.9892215568862275, "percentage": 100.0, "elapsed_time": "4:18:58", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,203 @@
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