Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- README.md +60 -0
- all_results.json +8 -0
- config.json +30 -0
- generation_config.json +9 -0
- model-00001-of-00004.safetensors +3 -0
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- tokenizer.json +3 -0
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- train_results.json +8 -0
- trainer_log.jsonl +63 -0
- trainer_state.json +476 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
.gitattributes
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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: deepseek/DeepSeek-R1-Distill-Qwen-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: 7b_mix_1k
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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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# 7b_mix_1k
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This model is a fine-tuned version of [/home/export/base/sc100182/sc100182/online1/code/models/DeepSeek-R1-Distill-Qwen-7B](https://huggingface.co//home/export/base/sc100182/sc100182/online1/code/models/DeepSeek-R1-Distill-Qwen-7B) on the mix_1k 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: 8
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- total_train_batch_size: 8
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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: 0.05
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- num_epochs: 5
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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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all_results.json
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"total_flos": 123341386481664.0,
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}
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config.json
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],
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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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"rope_scaling": null,
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"rope_theta": 10000,
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"torch_dtype": "bfloat16",
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"vocab_size": 152064
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}
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generation_config.json
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"temperature": 0.6,
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}
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65 |
+
"normalized": false,
|
66 |
+
"rstrip": false,
|
67 |
+
"single_word": false,
|
68 |
+
"special": true
|
69 |
+
},
|
70 |
+
"151651": {
|
71 |
+
"content": "<|quad_end|>",
|
72 |
+
"lstrip": false,
|
73 |
+
"normalized": false,
|
74 |
+
"rstrip": false,
|
75 |
+
"single_word": false,
|
76 |
+
"special": true
|
77 |
+
},
|
78 |
+
"151652": {
|
79 |
+
"content": "<|vision_start|>",
|
80 |
+
"lstrip": false,
|
81 |
+
"normalized": false,
|
82 |
+
"rstrip": false,
|
83 |
+
"single_word": false,
|
84 |
+
"special": true
|
85 |
+
},
|
86 |
+
"151653": {
|
87 |
+
"content": "<|vision_end|>",
|
88 |
+
"lstrip": false,
|
89 |
+
"normalized": false,
|
90 |
+
"rstrip": false,
|
91 |
+
"single_word": false,
|
92 |
+
"special": true
|
93 |
+
},
|
94 |
+
"151654": {
|
95 |
+
"content": "<|vision_pad|>",
|
96 |
+
"lstrip": false,
|
97 |
+
"normalized": false,
|
98 |
+
"rstrip": false,
|
99 |
+
"single_word": false,
|
100 |
+
"special": true
|
101 |
+
},
|
102 |
+
"151655": {
|
103 |
+
"content": "<|image_pad|>",
|
104 |
+
"lstrip": false,
|
105 |
+
"normalized": false,
|
106 |
+
"rstrip": false,
|
107 |
+
"single_word": false,
|
108 |
+
"special": true
|
109 |
+
},
|
110 |
+
"151656": {
|
111 |
+
"content": "<|video_pad|>",
|
112 |
+
"lstrip": false,
|
113 |
+
"normalized": false,
|
114 |
+
"rstrip": false,
|
115 |
+
"single_word": false,
|
116 |
+
"special": true
|
117 |
+
},
|
118 |
+
"151657": {
|
119 |
+
"content": "<tool_call>",
|
120 |
+
"lstrip": false,
|
121 |
+
"normalized": false,
|
122 |
+
"rstrip": false,
|
123 |
+
"single_word": false,
|
124 |
+
"special": false
|
125 |
+
},
|
126 |
+
"151658": {
|
127 |
+
"content": "</tool_call>",
|
128 |
+
"lstrip": false,
|
129 |
+
"normalized": false,
|
130 |
+
"rstrip": false,
|
131 |
+
"single_word": false,
|
132 |
+
"special": false
|
133 |
+
},
|
134 |
+
"151659": {
|
135 |
+
"content": "<|fim_prefix|>",
|
136 |
+
"lstrip": false,
|
137 |
+
"normalized": false,
|
138 |
+
"rstrip": false,
|
139 |
+
"single_word": false,
|
140 |
+
"special": false
|
141 |
+
},
|
142 |
+
"151660": {
|
143 |
+
"content": "<|fim_middle|>",
|
144 |
+
"lstrip": false,
|
145 |
+
"normalized": false,
|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
+
"151661": {
|
151 |
+
"content": "<|fim_suffix|>",
|
152 |
+
"lstrip": false,
|
153 |
+
"normalized": false,
|
154 |
+
"rstrip": false,
|
155 |
+
"single_word": false,
|
156 |
+
"special": false
|
157 |
+
},
|
158 |
+
"151662": {
|
159 |
+
"content": "<|fim_pad|>",
|
160 |
+
"lstrip": false,
|
161 |
+
"normalized": false,
|
162 |
+
"rstrip": false,
|
163 |
+
"single_word": false,
|
164 |
+
"special": false
|
165 |
+
},
|
166 |
+
"151663": {
|
167 |
+
"content": "<|repo_name|>",
|
168 |
+
"lstrip": false,
|
169 |
+
"normalized": false,
|
170 |
+
"rstrip": false,
|
171 |
+
"single_word": false,
|
172 |
+
"special": false
|
173 |
+
},
|
174 |
+
"151664": {
|
175 |
+
"content": "<|file_sep|>",
|
176 |
+
"lstrip": false,
|
177 |
+
"normalized": false,
|
178 |
+
"rstrip": false,
|
179 |
+
"single_word": false,
|
180 |
+
"special": false
|
181 |
+
}
|
182 |
+
},
|
183 |
+
"bos_token": "<|begin▁of▁sentence|>",
|
184 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set ns = namespace(is_first=false, is_tool=false, is_output_first=true, system_prompt='') %}{%- for message in messages %}{%- if message['role'] == 'system' %}{% set ns.system_prompt = message['content'] %}{%- endif %}{%- endfor %}{{bos_token}}{{ns.system_prompt}}{%- for message in messages %}{%- if message['role'] == 'user' %}{%- set ns.is_tool = false -%}{{'<|User|>' + message['content']}}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is none %}{%- set ns.is_tool = false -%}{%- for tool in message['tool_calls']%}{%- if not ns.is_first %}{{'<|Assistant|><|tool▁calls▁begin|><|tool▁call▁begin��>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{%- set ns.is_first = true -%}{%- else %}{{'\\n' + '<|tool▁call▁begin|>' + tool['type'] + '<|tool▁sep|>' + tool['function']['name'] + '\\n' + '```json' + '\\n' + tool['function']['arguments'] + '\\n' + '```' + '<|tool▁call▁end|>'}}{{'<|tool▁calls▁end|><|end▁of▁sentence|>'}}{%- endif %}{%- endfor %}{%- endif %}{%- if message['role'] == 'assistant' and message['content'] is not none %}{%- if ns.is_tool %}{{'<|tool▁outputs▁end|>' + message['content'] + '<|end▁of▁sentence|>'}}{%- set ns.is_tool = false -%}{%- else %}{% set content = message['content'] %}{% if '</think>' in content %}{% set content = content.split('</think>')[-1] %}{% endif %}{{'<|Assistant|>' + content + '<|end▁of▁sentence|>'}}{%- endif %}{%- endif %}{%- if message['role'] == 'tool' %}{%- set ns.is_tool = true -%}{%- if ns.is_output_first %}{{'<|tool▁outputs▁begin|><|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- set ns.is_output_first = false %}{%- else %}{{'\\n<|tool▁output▁begin|>' + message['content'] + '<|tool▁output▁end|>'}}{%- endif %}{%- endif %}{%- endfor -%}{% if ns.is_tool %}{{'<|tool▁outputs▁end|>'}}{% endif %}{% if add_generation_prompt and not ns.is_tool %}{{'<|Assistant|><think>\\n'}}{% endif %}",
|
185 |
+
"clean_up_tokenization_spaces": false,
|
186 |
+
"eos_token": "<|end▁of▁sentence|>",
|
187 |
+
"extra_special_tokens": {},
|
188 |
+
"legacy": true,
|
189 |
+
"model_max_length": 16384,
|
190 |
+
"pad_token": "<|end▁of▁sentence|>",
|
191 |
+
"padding_side": "right",
|
192 |
+
"sp_model_kwargs": {},
|
193 |
+
"split_special_tokens": false,
|
194 |
+
"tokenizer_class": "LlamaTokenizer",
|
195 |
+
"unk_token": null,
|
196 |
+
"use_default_system_prompt": false
|
197 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 5.0,
|
3 |
+
"total_flos": 123341386481664.0,
|
4 |
+
"train_loss": 0.2985656312942505,
|
5 |
+
"train_runtime": 10873.4333,
|
6 |
+
"train_samples_per_second": 0.46,
|
7 |
+
"train_steps_per_second": 0.057
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,63 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 10, "total_steps": 625, "loss": 0.4597, "lr": 3.125e-06, "epoch": 0.08, "percentage": 1.6, "elapsed_time": "0:03:09", "remaining_time": "3:14:22"}
|
2 |
+
{"current_steps": 20, "total_steps": 625, "loss": 0.4563, "lr": 6.25e-06, "epoch": 0.16, "percentage": 3.2, "elapsed_time": "0:06:06", "remaining_time": "3:04:53"}
|
3 |
+
{"current_steps": 30, "total_steps": 625, "loss": 0.4264, "lr": 9.375000000000001e-06, "epoch": 0.24, "percentage": 4.8, "elapsed_time": "0:08:57", "remaining_time": "2:57:35"}
|
4 |
+
{"current_steps": 40, "total_steps": 625, "loss": 0.4412, "lr": 9.995510010438338e-06, "epoch": 0.32, "percentage": 6.4, "elapsed_time": "0:11:49", "remaining_time": "2:52:54"}
|
5 |
+
{"current_steps": 50, "total_steps": 625, "loss": 0.442, "lr": 9.977283247594167e-06, "epoch": 0.4, "percentage": 8.0, "elapsed_time": "0:14:51", "remaining_time": "2:50:49"}
|
6 |
+
{"current_steps": 60, "total_steps": 625, "loss": 0.4613, "lr": 9.945090192163202e-06, "epoch": 0.48, "percentage": 9.6, "elapsed_time": "0:17:57", "remaining_time": "2:49:07"}
|
7 |
+
{"current_steps": 70, "total_steps": 625, "loss": 0.4213, "lr": 9.8990211780905e-06, "epoch": 0.56, "percentage": 11.2, "elapsed_time": "0:20:47", "remaining_time": "2:44:53"}
|
8 |
+
{"current_steps": 80, "total_steps": 625, "loss": 0.4165, "lr": 9.83920547536085e-06, "epoch": 0.64, "percentage": 12.8, "elapsed_time": "0:23:29", "remaining_time": "2:40:03"}
|
9 |
+
{"current_steps": 90, "total_steps": 625, "loss": 0.4269, "lr": 9.765810927266281e-06, "epoch": 0.72, "percentage": 14.4, "elapsed_time": "0:26:19", "remaining_time": "2:36:30"}
|
10 |
+
{"current_steps": 100, "total_steps": 625, "loss": 0.4315, "lr": 9.679043479436558e-06, "epoch": 0.8, "percentage": 16.0, "elapsed_time": "0:29:03", "remaining_time": "2:32:31"}
|
11 |
+
{"current_steps": 110, "total_steps": 625, "loss": 0.422, "lr": 9.579146601954276e-06, "epoch": 0.88, "percentage": 17.6, "elapsed_time": "0:31:45", "remaining_time": "2:28:41"}
|
12 |
+
{"current_steps": 120, "total_steps": 625, "loss": 0.4246, "lr": 9.466400606176062e-06, "epoch": 0.96, "percentage": 19.2, "elapsed_time": "0:34:39", "remaining_time": "2:25:50"}
|
13 |
+
{"current_steps": 130, "total_steps": 625, "loss": 0.3859, "lr": 9.341121858176877e-06, "epoch": 1.04, "percentage": 20.8, "elapsed_time": "0:37:25", "remaining_time": "2:22:28"}
|
14 |
+
{"current_steps": 140, "total_steps": 625, "loss": 0.3365, "lr": 9.203661891024547e-06, "epoch": 1.12, "percentage": 22.4, "elapsed_time": "0:40:18", "remaining_time": "2:19:38"}
|
15 |
+
{"current_steps": 150, "total_steps": 625, "loss": 0.3536, "lr": 9.054406418375443e-06, "epoch": 1.2, "percentage": 24.0, "elapsed_time": "0:43:11", "remaining_time": "2:16:47"}
|
16 |
+
{"current_steps": 160, "total_steps": 625, "loss": 0.3335, "lr": 8.893774252159186e-06, "epoch": 1.28, "percentage": 25.6, "elapsed_time": "0:45:53", "remaining_time": "2:13:21"}
|
17 |
+
{"current_steps": 170, "total_steps": 625, "loss": 0.3572, "lr": 8.722216127389362e-06, "epoch": 1.3599999999999999, "percentage": 27.2, "elapsed_time": "0:48:31", "remaining_time": "2:09:51"}
|
18 |
+
{"current_steps": 180, "total_steps": 625, "loss": 0.35, "lr": 8.540213437397833e-06, "epoch": 1.44, "percentage": 28.8, "elapsed_time": "0:51:20", "remaining_time": "2:06:56"}
|
19 |
+
{"current_steps": 190, "total_steps": 625, "loss": 0.3455, "lr": 8.348276883041584e-06, "epoch": 1.52, "percentage": 30.4, "elapsed_time": "0:54:13", "remaining_time": "2:04:08"}
|
20 |
+
{"current_steps": 200, "total_steps": 625, "loss": 0.3511, "lr": 8.146945039672446e-06, "epoch": 1.6, "percentage": 32.0, "elapsed_time": "0:57:08", "remaining_time": "2:01:25"}
|
21 |
+
{"current_steps": 210, "total_steps": 625, "loss": 0.3635, "lr": 7.93678284589079e-06, "epoch": 1.6800000000000002, "percentage": 33.6, "elapsed_time": "0:59:49", "remaining_time": "1:58:14"}
|
22 |
+
{"current_steps": 220, "total_steps": 625, "loss": 0.3545, "lr": 7.718380018323743e-06, "epoch": 1.76, "percentage": 35.2, "elapsed_time": "1:02:47", "remaining_time": "1:55:35"}
|
23 |
+
{"current_steps": 230, "total_steps": 625, "loss": 0.3396, "lr": 7.492349396876097e-06, "epoch": 1.8399999999999999, "percentage": 36.8, "elapsed_time": "1:05:35", "remaining_time": "1:52:38"}
|
24 |
+
{"current_steps": 240, "total_steps": 625, "loss": 0.3659, "lr": 7.2593252250971306e-06, "epoch": 1.92, "percentage": 38.4, "elapsed_time": "1:08:45", "remaining_time": "1:50:17"}
|
25 |
+
{"current_steps": 250, "total_steps": 625, "loss": 0.345, "lr": 7.019961370488645e-06, "epoch": 2.0, "percentage": 40.0, "elapsed_time": "1:11:35", "remaining_time": "1:47:23"}
|
26 |
+
{"current_steps": 260, "total_steps": 625, "loss": 0.2951, "lr": 6.774929489748052e-06, "epoch": 2.08, "percentage": 41.6, "elapsed_time": "1:14:27", "remaining_time": "1:44:32"}
|
27 |
+
{"current_steps": 270, "total_steps": 625, "loss": 0.2788, "lr": 6.524917144094851e-06, "epoch": 2.16, "percentage": 43.2, "elapsed_time": "1:17:22", "remaining_time": "1:41:43"}
|
28 |
+
{"current_steps": 280, "total_steps": 625, "loss": 0.2732, "lr": 6.270625869968907e-06, "epoch": 2.24, "percentage": 44.8, "elapsed_time": "1:20:08", "remaining_time": "1:38:44"}
|
29 |
+
{"current_steps": 290, "total_steps": 625, "loss": 0.2657, "lr": 6.012769210514147e-06, "epoch": 2.32, "percentage": 46.4, "elapsed_time": "1:22:55", "remaining_time": "1:35:48"}
|
30 |
+
{"current_steps": 300, "total_steps": 625, "loss": 0.2864, "lr": 5.752070713371372e-06, "epoch": 2.4, "percentage": 48.0, "elapsed_time": "1:25:52", "remaining_time": "1:33:02"}
|
31 |
+
{"current_steps": 310, "total_steps": 625, "loss": 0.2804, "lr": 5.4892619003983735e-06, "epoch": 2.48, "percentage": 49.6, "elapsed_time": "1:28:36", "remaining_time": "1:30:02"}
|
32 |
+
{"current_steps": 320, "total_steps": 625, "loss": 0.274, "lr": 5.2250802150143395e-06, "epoch": 2.56, "percentage": 51.2, "elapsed_time": "1:31:31", "remaining_time": "1:27:14"}
|
33 |
+
{"current_steps": 330, "total_steps": 625, "loss": 0.2921, "lr": 4.960266952928317e-06, "epoch": 2.64, "percentage": 52.8, "elapsed_time": "1:34:35", "remaining_time": "1:24:33"}
|
34 |
+
{"current_steps": 340, "total_steps": 625, "loss": 0.2742, "lr": 4.695565182058113e-06, "epoch": 2.7199999999999998, "percentage": 54.4, "elapsed_time": "1:37:34", "remaining_time": "1:21:47"}
|
35 |
+
{"current_steps": 350, "total_steps": 625, "loss": 0.2732, "lr": 4.431717657476394e-06, "epoch": 2.8, "percentage": 56.0, "elapsed_time": "1:40:15", "remaining_time": "1:18:46"}
|
36 |
+
{"current_steps": 360, "total_steps": 625, "loss": 0.283, "lr": 4.169464737234588e-06, "epoch": 2.88, "percentage": 57.6, "elapsed_time": "1:43:14", "remaining_time": "1:15:59"}
|
37 |
+
{"current_steps": 370, "total_steps": 625, "loss": 0.2834, "lr": 3.909542304912881e-06, "epoch": 2.96, "percentage": 59.2, "elapsed_time": "1:46:12", "remaining_time": "1:13:12"}
|
38 |
+
{"current_steps": 380, "total_steps": 625, "loss": 0.2619, "lr": 3.652679704725596e-06, "epoch": 3.04, "percentage": 60.8, "elapsed_time": "1:49:11", "remaining_time": "1:10:23"}
|
39 |
+
{"current_steps": 390, "total_steps": 625, "loss": 0.2164, "lr": 3.3995976949760813e-06, "epoch": 3.12, "percentage": 62.4, "elapsed_time": "1:51:49", "remaining_time": "1:07:22"}
|
40 |
+
{"current_steps": 400, "total_steps": 625, "loss": 0.2228, "lr": 3.1510064256037277e-06, "epoch": 3.2, "percentage": 64.0, "elapsed_time": "1:54:30", "remaining_time": "1:04:24"}
|
41 |
+
{"current_steps": 410, "total_steps": 625, "loss": 0.215, "lr": 2.9076034454981333e-06, "epoch": 3.2800000000000002, "percentage": 65.6, "elapsed_time": "1:57:28", "remaining_time": "1:01:36"}
|
42 |
+
{"current_steps": 420, "total_steps": 625, "loss": 0.2377, "lr": 2.6700717451719066e-06, "epoch": 3.36, "percentage": 67.2, "elapsed_time": "2:00:28", "remaining_time": "0:58:48"}
|
43 |
+
{"current_steps": 430, "total_steps": 625, "loss": 0.2257, "lr": 2.4390778402843606e-06, "epoch": 3.44, "percentage": 68.8, "elapsed_time": "2:03:19", "remaining_time": "0:55:55"}
|
44 |
+
{"current_steps": 440, "total_steps": 625, "loss": 0.2313, "lr": 2.215269901393805e-06, "epoch": 3.52, "percentage": 70.4, "elapsed_time": "2:06:33", "remaining_time": "0:53:12"}
|
45 |
+
{"current_steps": 450, "total_steps": 625, "loss": 0.234, "lr": 1.999275935186277e-06, "epoch": 3.6, "percentage": 72.0, "elapsed_time": "2:09:32", "remaining_time": "0:50:22"}
|
46 |
+
{"current_steps": 460, "total_steps": 625, "loss": 0.2363, "lr": 1.7917020222842662e-06, "epoch": 3.68, "percentage": 73.6, "elapsed_time": "2:12:19", "remaining_time": "0:47:27"}
|
47 |
+
{"current_steps": 470, "total_steps": 625, "loss": 0.2394, "lr": 1.5931306165801453e-06, "epoch": 3.76, "percentage": 75.2, "elapsed_time": "2:15:16", "remaining_time": "0:44:36"}
|
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