Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +60 -0
- added_tokens.json +24 -0
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.gitattributes
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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/Qwen2.5-72B-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: DCFT-Stratos-Verified-114k-qwen-2.5-72B
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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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# DCFT-Stratos-Verified-114k-qwen-2.5-72B
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This model is a fine-tuned version of [Qwen/Qwen2.5-72B-Instruct](https://huggingface.co/Qwen/Qwen2.5-72B-Instruct) on the mlfoundations-dev/stratos_verified_mix 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: 1024
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- total_train_batch_size: 1024
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- total_eval_batch_size: 8192
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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: 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 2.5.0a0+b465a5843b.nv24.09
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- Datasets 3.0.2
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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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"max_window_layers": 70,
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"model_type": "qwen2",
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"num_attention_heads": 64,
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"num_hidden_layers": 80,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-06,
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}
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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": 3.0,
|
3 |
+
"total_flos": 2.982866014384947e+16,
|
4 |
+
"train_loss": 0.3923433954339652,
|
5 |
+
"train_runtime": 48299.7361,
|
6 |
+
"train_samples_per_second": 7.078,
|
7 |
+
"train_steps_per_second": 0.007
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,337 @@
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|
1 |
+
{"current_steps": 1, "total_steps": 336, "loss": 0.8158, "lr": 2.9411764705882356e-07, "epoch": 0.008928571428571428, "percentage": 0.3, "elapsed_time": "0:02:11", "remaining_time": "12:15:56"}
|
2 |
+
{"current_steps": 2, "total_steps": 336, "loss": 0.8361, "lr": 5.882352941176471e-07, "epoch": 0.017857142857142856, "percentage": 0.6, "elapsed_time": "0:04:19", "remaining_time": "12:03:31"}
|
3 |
+
{"current_steps": 3, "total_steps": 336, "loss": 0.8422, "lr": 8.823529411764707e-07, "epoch": 0.026785714285714284, "percentage": 0.89, "elapsed_time": "0:06:23", "remaining_time": "11:49:11"}
|
4 |
+
{"current_steps": 4, "total_steps": 336, "loss": 0.8212, "lr": 1.1764705882352942e-06, "epoch": 0.03571428571428571, "percentage": 1.19, "elapsed_time": "0:08:18", "remaining_time": "11:30:06"}
|
5 |
+
{"current_steps": 5, "total_steps": 336, "loss": 0.8039, "lr": 1.4705882352941177e-06, "epoch": 0.044642857142857144, "percentage": 1.49, "elapsed_time": "0:10:12", "remaining_time": "11:15:58"}
|
6 |
+
{"current_steps": 6, "total_steps": 336, "loss": 0.7598, "lr": 1.7647058823529414e-06, "epoch": 0.05357142857142857, "percentage": 1.79, "elapsed_time": "0:12:13", "remaining_time": "11:12:44"}
|
7 |
+
{"current_steps": 7, "total_steps": 336, "loss": 0.7132, "lr": 2.058823529411765e-06, "epoch": 0.0625, "percentage": 2.08, "elapsed_time": "0:14:13", "remaining_time": "11:08:44"}
|
8 |
+
{"current_steps": 8, "total_steps": 336, "loss": 0.7006, "lr": 2.3529411764705885e-06, "epoch": 0.07142857142857142, "percentage": 2.38, "elapsed_time": "0:16:10", "remaining_time": "11:02:52"}
|
9 |
+
{"current_steps": 9, "total_steps": 336, "loss": 0.6781, "lr": 2.647058823529412e-06, "epoch": 0.08035714285714286, "percentage": 2.68, "elapsed_time": "0:18:07", "remaining_time": "10:58:48"}
|
10 |
+
{"current_steps": 10, "total_steps": 336, "loss": 0.6716, "lr": 2.9411764705882355e-06, "epoch": 0.08928571428571429, "percentage": 2.98, "elapsed_time": "0:20:05", "remaining_time": "10:55:14"}
|
11 |
+
{"current_steps": 11, "total_steps": 336, "loss": 0.6524, "lr": 3.2352941176470594e-06, "epoch": 0.09821428571428571, "percentage": 3.27, "elapsed_time": "0:22:03", "remaining_time": "10:51:45"}
|
12 |
+
{"current_steps": 12, "total_steps": 336, "loss": 0.6202, "lr": 3.529411764705883e-06, "epoch": 0.10714285714285714, "percentage": 3.57, "elapsed_time": "0:23:58", "remaining_time": "10:47:13"}
|
13 |
+
{"current_steps": 13, "total_steps": 336, "loss": 0.6104, "lr": 3.8235294117647055e-06, "epoch": 0.11607142857142858, "percentage": 3.87, "elapsed_time": "0:25:52", "remaining_time": "10:42:53"}
|
14 |
+
{"current_steps": 14, "total_steps": 336, "loss": 0.6036, "lr": 4.11764705882353e-06, "epoch": 0.125, "percentage": 4.17, "elapsed_time": "0:27:47", "remaining_time": "10:39:19"}
|
15 |
+
{"current_steps": 15, "total_steps": 336, "loss": 0.5893, "lr": 4.411764705882353e-06, "epoch": 0.13392857142857142, "percentage": 4.46, "elapsed_time": "0:29:42", "remaining_time": "10:35:36"}
|
16 |
+
{"current_steps": 16, "total_steps": 336, "loss": 0.5752, "lr": 4.705882352941177e-06, "epoch": 0.14285714285714285, "percentage": 4.76, "elapsed_time": "0:31:35", "remaining_time": "10:31:56"}
|
17 |
+
{"current_steps": 17, "total_steps": 336, "loss": 0.5527, "lr": 5e-06, "epoch": 0.15178571428571427, "percentage": 5.06, "elapsed_time": "0:33:32", "remaining_time": "10:29:17"}
|
18 |
+
{"current_steps": 18, "total_steps": 336, "loss": 0.5438, "lr": 5.294117647058824e-06, "epoch": 0.16071428571428573, "percentage": 5.36, "elapsed_time": "0:35:27", "remaining_time": "10:26:28"}
|
19 |
+
{"current_steps": 19, "total_steps": 336, "loss": 0.5295, "lr": 5.588235294117647e-06, "epoch": 0.16964285714285715, "percentage": 5.65, "elapsed_time": "0:37:22", "remaining_time": "10:23:28"}
|
20 |
+
{"current_steps": 20, "total_steps": 336, "loss": 0.5227, "lr": 5.882352941176471e-06, "epoch": 0.17857142857142858, "percentage": 5.95, "elapsed_time": "0:39:21", "remaining_time": "10:21:59"}
|
21 |
+
{"current_steps": 21, "total_steps": 336, "loss": 0.5146, "lr": 6.176470588235295e-06, "epoch": 0.1875, "percentage": 6.25, "elapsed_time": "0:41:18", "remaining_time": "10:19:43"}
|
22 |
+
{"current_steps": 22, "total_steps": 336, "loss": 0.503, "lr": 6.470588235294119e-06, "epoch": 0.19642857142857142, "percentage": 6.55, "elapsed_time": "0:43:15", "remaining_time": "10:17:24"}
|
23 |
+
{"current_steps": 23, "total_steps": 336, "loss": 0.499, "lr": 6.764705882352942e-06, "epoch": 0.20535714285714285, "percentage": 6.85, "elapsed_time": "0:45:09", "remaining_time": "10:14:28"}
|
24 |
+
{"current_steps": 24, "total_steps": 336, "loss": 0.4901, "lr": 7.058823529411766e-06, "epoch": 0.21428571428571427, "percentage": 7.14, "elapsed_time": "0:47:06", "remaining_time": "10:12:28"}
|
25 |
+
{"current_steps": 25, "total_steps": 336, "loss": 0.4882, "lr": 7.352941176470589e-06, "epoch": 0.22321428571428573, "percentage": 7.44, "elapsed_time": "0:49:04", "remaining_time": "10:10:24"}
|
26 |
+
{"current_steps": 26, "total_steps": 336, "loss": 0.4789, "lr": 7.647058823529411e-06, "epoch": 0.23214285714285715, "percentage": 7.74, "elapsed_time": "0:50:59", "remaining_time": "10:08:01"}
|
27 |
+
{"current_steps": 27, "total_steps": 336, "loss": 0.4792, "lr": 7.941176470588236e-06, "epoch": 0.24107142857142858, "percentage": 8.04, "elapsed_time": "0:53:02", "remaining_time": "10:06:56"}
|
28 |
+
{"current_steps": 28, "total_steps": 336, "loss": 0.4665, "lr": 8.23529411764706e-06, "epoch": 0.25, "percentage": 8.33, "elapsed_time": "0:54:56", "remaining_time": "10:04:23"}
|
29 |
+
{"current_steps": 29, "total_steps": 336, "loss": 0.4666, "lr": 8.529411764705883e-06, "epoch": 0.25892857142857145, "percentage": 8.63, "elapsed_time": "0:56:52", "remaining_time": "10:02:06"}
|
30 |
+
{"current_steps": 30, "total_steps": 336, "loss": 0.4644, "lr": 8.823529411764707e-06, "epoch": 0.26785714285714285, "percentage": 8.93, "elapsed_time": "0:58:49", "remaining_time": "9:59:59"}
|
31 |
+
{"current_steps": 31, "total_steps": 336, "loss": 0.4552, "lr": 9.11764705882353e-06, "epoch": 0.2767857142857143, "percentage": 9.23, "elapsed_time": "1:00:48", "remaining_time": "9:58:14"}
|
32 |
+
{"current_steps": 32, "total_steps": 336, "loss": 0.4611, "lr": 9.411764705882354e-06, "epoch": 0.2857142857142857, "percentage": 9.52, "elapsed_time": "1:02:44", "remaining_time": "9:56:01"}
|
33 |
+
{"current_steps": 33, "total_steps": 336, "loss": 0.449, "lr": 9.705882352941177e-06, "epoch": 0.29464285714285715, "percentage": 9.82, "elapsed_time": "1:04:42", "remaining_time": "9:54:05"}
|
34 |
+
{"current_steps": 34, "total_steps": 336, "loss": 0.4543, "lr": 1e-05, "epoch": 0.30357142857142855, "percentage": 10.12, "elapsed_time": "1:06:44", "remaining_time": "9:52:48"}
|
35 |
+
{"current_steps": 35, "total_steps": 336, "loss": 0.4449, "lr": 9.999729465939036e-06, "epoch": 0.3125, "percentage": 10.42, "elapsed_time": "1:08:47", "remaining_time": "9:51:36"}
|
36 |
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{"current_steps": 36, "total_steps": 336, "loss": 0.4503, "lr": 9.998917893031615e-06, "epoch": 0.32142857142857145, "percentage": 10.71, "elapsed_time": "1:10:45", "remaining_time": "9:49:39"}
|
37 |
+
{"current_steps": 37, "total_steps": 336, "loss": 0.4421, "lr": 9.997565369100983e-06, "epoch": 0.33035714285714285, "percentage": 11.01, "elapsed_time": "1:12:46", "remaining_time": "9:48:07"}
|
38 |
+
{"current_steps": 38, "total_steps": 336, "loss": 0.4453, "lr": 9.995672040508656e-06, "epoch": 0.3392857142857143, "percentage": 11.31, "elapsed_time": "1:14:47", "remaining_time": "9:46:34"}
|
39 |
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{"current_steps": 39, "total_steps": 336, "loss": 0.4388, "lr": 9.993238112138584e-06, "epoch": 0.3482142857142857, "percentage": 11.61, "elapsed_time": "1:16:51", "remaining_time": "9:45:17"}
|
40 |
+
{"current_steps": 40, "total_steps": 336, "loss": 0.4407, "lr": 9.990263847374976e-06, "epoch": 0.35714285714285715, "percentage": 11.9, "elapsed_time": "1:18:51", "remaining_time": "9:43:30"}
|
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{"current_steps": 41, "total_steps": 336, "loss": 0.4419, "lr": 9.986749568073804e-06, "epoch": 0.36607142857142855, "percentage": 12.2, "elapsed_time": "1:20:52", "remaining_time": "9:41:57"}
|
42 |
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{"current_steps": 42, "total_steps": 336, "loss": 0.438, "lr": 9.982695654527966e-06, "epoch": 0.375, "percentage": 12.5, "elapsed_time": "1:22:57", "remaining_time": "9:40:44"}
|
43 |
+
{"current_steps": 43, "total_steps": 336, "loss": 0.4299, "lr": 9.97810254542614e-06, "epoch": 0.38392857142857145, "percentage": 12.8, "elapsed_time": "1:24:58", "remaining_time": "9:39:00"}
|
44 |
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{"current_steps": 44, "total_steps": 336, "loss": 0.4248, "lr": 9.972970737805312e-06, "epoch": 0.39285714285714285, "percentage": 13.1, "elapsed_time": "1:26:58", "remaining_time": "9:37:14"}
|
45 |
+
{"current_steps": 45, "total_steps": 336, "loss": 0.4333, "lr": 9.96730078699698e-06, "epoch": 0.4017857142857143, "percentage": 13.39, "elapsed_time": "1:29:00", "remaining_time": "9:35:34"}
|
46 |
+
{"current_steps": 46, "total_steps": 336, "loss": 0.4266, "lr": 9.961093306567076e-06, "epoch": 0.4107142857142857, "percentage": 13.69, "elapsed_time": "1:31:05", "remaining_time": "9:34:16"}
|
47 |
+
{"current_steps": 47, "total_steps": 336, "loss": 0.4253, "lr": 9.954348968249552e-06, "epoch": 0.41964285714285715, "percentage": 13.99, "elapsed_time": "1:33:09", "remaining_time": "9:32:49"}
|
48 |
+
{"current_steps": 48, "total_steps": 336, "loss": 0.4229, "lr": 9.947068501873702e-06, "epoch": 0.42857142857142855, "percentage": 14.29, "elapsed_time": "1:35:14", "remaining_time": "9:31:25"}
|
49 |
+
{"current_steps": 49, "total_steps": 336, "loss": 0.423, "lr": 9.93925269528518e-06, "epoch": 0.4375, "percentage": 14.58, "elapsed_time": "1:37:21", "remaining_time": "9:30:16"}
|
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|
trainer_state.json
ADDED
@@ -0,0 +1,2394 @@
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