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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- train_results.json +8 -0
- trainer_log.jsonl +38 -0
- trainer_state.json +301 -0
- training_args.bin +3 -0
- training_loss.png +0 -0
.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: 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: 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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- 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: 0.1
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- num_epochs: 3
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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": 74595673178112.0,
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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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"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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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": 3.0,
|
3 |
+
"total_flos": 74595673178112.0,
|
4 |
+
"train_loss": 0.33862359380722046,
|
5 |
+
"train_runtime": 6722.8271,
|
6 |
+
"train_samples_per_second": 0.446,
|
7 |
+
"train_steps_per_second": 0.056
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,38 @@
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 10, "total_steps": 375, "loss": 0.5021, "lr": 5.263157894736842e-06, "epoch": 0.08, "percentage": 2.67, "elapsed_time": "0:03:20", "remaining_time": "2:01:53"}
|
2 |
+
{"current_steps": 20, "total_steps": 375, "loss": 0.4477, "lr": 1.0526315789473684e-05, "epoch": 0.16, "percentage": 5.33, "elapsed_time": "0:06:16", "remaining_time": "1:51:27"}
|
3 |
+
{"current_steps": 30, "total_steps": 375, "loss": 0.4523, "lr": 1.578947368421053e-05, "epoch": 0.24, "percentage": 8.0, "elapsed_time": "0:09:14", "remaining_time": "1:46:11"}
|
4 |
+
{"current_steps": 40, "total_steps": 375, "loss": 0.453, "lr": 1.9998261969639324e-05, "epoch": 0.32, "percentage": 10.67, "elapsed_time": "0:12:07", "remaining_time": "1:41:35"}
|
5 |
+
{"current_steps": 50, "total_steps": 375, "loss": 0.4317, "lr": 1.9937494319239112e-05, "epoch": 0.4, "percentage": 13.33, "elapsed_time": "0:15:14", "remaining_time": "1:39:03"}
|
6 |
+
{"current_steps": 60, "total_steps": 375, "loss": 0.4387, "lr": 1.979042835741503e-05, "epoch": 0.48, "percentage": 16.0, "elapsed_time": "0:18:25", "remaining_time": "1:36:42"}
|
7 |
+
{"current_steps": 70, "total_steps": 375, "loss": 0.4648, "lr": 1.9558341221417744e-05, "epoch": 0.56, "percentage": 18.67, "elapsed_time": "0:21:21", "remaining_time": "1:33:04"}
|
8 |
+
{"current_steps": 80, "total_steps": 375, "loss": 0.4563, "lr": 1.9243248381877605e-05, "epoch": 0.64, "percentage": 21.33, "elapsed_time": "0:24:26", "remaining_time": "1:30:07"}
|
9 |
+
{"current_steps": 90, "total_steps": 375, "loss": 0.4356, "lr": 1.8847886140232438e-05, "epoch": 0.72, "percentage": 24.0, "elapsed_time": "0:27:26", "remaining_time": "1:26:54"}
|
10 |
+
{"current_steps": 100, "total_steps": 375, "loss": 0.4599, "lr": 1.8375687866379988e-05, "epoch": 0.8, "percentage": 26.67, "elapsed_time": "0:30:20", "remaining_time": "1:23:26"}
|
11 |
+
{"current_steps": 110, "total_steps": 375, "loss": 0.4438, "lr": 1.7830754182909985e-05, "epoch": 0.88, "percentage": 29.33, "elapsed_time": "0:33:22", "remaining_time": "1:20:23"}
|
12 |
+
{"current_steps": 120, "total_steps": 375, "loss": 0.4399, "lr": 1.721781735483921e-05, "epoch": 0.96, "percentage": 32.0, "elapsed_time": "0:36:13", "remaining_time": "1:16:57"}
|
13 |
+
{"current_steps": 130, "total_steps": 375, "loss": 0.3948, "lr": 1.654220019409317e-05, "epoch": 1.04, "percentage": 34.67, "elapsed_time": "0:39:07", "remaining_time": "1:13:43"}
|
14 |
+
{"current_steps": 140, "total_steps": 375, "loss": 0.3355, "lr": 1.580976983561235e-05, "epoch": 1.12, "percentage": 37.33, "elapsed_time": "0:41:58", "remaining_time": "1:10:28"}
|
15 |
+
{"current_steps": 150, "total_steps": 375, "loss": 0.3182, "lr": 1.5026886786496624e-05, "epoch": 1.2, "percentage": 40.0, "elapsed_time": "0:44:52", "remaining_time": "1:07:18"}
|
16 |
+
{"current_steps": 160, "total_steps": 375, "loss": 0.3274, "lr": 1.4200349690650654e-05, "epoch": 1.28, "percentage": 42.67, "elapsed_time": "0:47:48", "remaining_time": "1:04:14"}
|
17 |
+
{"current_steps": 170, "total_steps": 375, "loss": 0.3524, "lr": 1.3337336288600297e-05, "epoch": 1.3599999999999999, "percentage": 45.33, "elapsed_time": "0:50:42", "remaining_time": "1:01:09"}
|
18 |
+
{"current_steps": 180, "total_steps": 375, "loss": 0.3114, "lr": 1.24453410851916e-05, "epoch": 1.44, "percentage": 48.0, "elapsed_time": "0:53:39", "remaining_time": "0:58:07"}
|
19 |
+
{"current_steps": 190, "total_steps": 375, "loss": 0.3151, "lr": 1.1532110266473026e-05, "epoch": 1.52, "percentage": 50.67, "elapsed_time": "0:56:36", "remaining_time": "0:55:06"}
|
20 |
+
{"current_steps": 200, "total_steps": 375, "loss": 0.3391, "lr": 1.0605574430949983e-05, "epoch": 1.6, "percentage": 53.33, "elapsed_time": "0:59:33", "remaining_time": "0:52:07"}
|
21 |
+
{"current_steps": 210, "total_steps": 375, "loss": 0.3313, "lr": 9.673779719380967e-06, "epoch": 1.6800000000000002, "percentage": 56.0, "elapsed_time": "1:02:26", "remaining_time": "0:49:03"}
|
22 |
+
{"current_steps": 220, "total_steps": 375, "loss": 0.3081, "lr": 8.744817941191862e-06, "epoch": 1.76, "percentage": 58.67, "elapsed_time": "1:05:32", "remaining_time": "0:46:10"}
|
23 |
+
{"current_steps": 230, "total_steps": 375, "loss": 0.3324, "lr": 7.826756304298428e-06, "epoch": 1.8399999999999999, "percentage": 61.33, "elapsed_time": "1:08:32", "remaining_time": "0:43:12"}
|
24 |
+
{"current_steps": 240, "total_steps": 375, "loss": 0.3175, "lr": 6.92756735857107e-06, "epoch": 1.92, "percentage": 64.0, "elapsed_time": "1:11:37", "remaining_time": "0:40:17"}
|
25 |
+
{"current_steps": 250, "total_steps": 375, "loss": 0.3204, "lr": 6.0550597613206205e-06, "epoch": 2.0, "percentage": 66.67, "elapsed_time": "1:14:45", "remaining_time": "0:37:22"}
|
26 |
+
{"current_steps": 260, "total_steps": 375, "loss": 0.2403, "lr": 5.216810466045448e-06, "epoch": 2.08, "percentage": 69.33, "elapsed_time": "1:17:35", "remaining_time": "0:34:19"}
|
27 |
+
{"current_steps": 270, "total_steps": 375, "loss": 0.2426, "lr": 4.420098923320378e-06, "epoch": 2.16, "percentage": 72.0, "elapsed_time": "1:20:34", "remaining_time": "0:31:19"}
|
28 |
+
{"current_steps": 280, "total_steps": 375, "loss": 0.2264, "lr": 3.671843865234238e-06, "epoch": 2.24, "percentage": 74.67, "elapsed_time": "1:23:15", "remaining_time": "0:28:14"}
|
29 |
+
{"current_steps": 290, "total_steps": 375, "loss": 0.2603, "lr": 2.978543222347076e-06, "epoch": 2.32, "percentage": 77.33, "elapsed_time": "1:26:26", "remaining_time": "0:25:20"}
|
30 |
+
{"current_steps": 300, "total_steps": 375, "loss": 0.2436, "lr": 2.346217694934847e-06, "epoch": 2.4, "percentage": 80.0, "elapsed_time": "1:29:28", "remaining_time": "0:22:22"}
|
31 |
+
{"current_steps": 310, "total_steps": 375, "loss": 0.2437, "lr": 1.7803584685552877e-06, "epoch": 2.48, "percentage": 82.67, "elapsed_time": "1:32:29", "remaining_time": "0:19:23"}
|
32 |
+
{"current_steps": 320, "total_steps": 375, "loss": 0.2365, "lr": 1.2858795279787517e-06, "epoch": 2.56, "percentage": 85.33, "elapsed_time": "1:35:32", "remaining_time": "0:16:25"}
|
33 |
+
{"current_steps": 330, "total_steps": 375, "loss": 0.246, "lr": 8.670749835951964e-07, "epoch": 2.64, "percentage": 88.0, "elapsed_time": "1:38:31", "remaining_time": "0:13:26"}
|
34 |
+
{"current_steps": 340, "total_steps": 375, "loss": 0.2507, "lr": 5.275817808796013e-07, "epoch": 2.7199999999999998, "percentage": 90.67, "elapsed_time": "1:41:26", "remaining_time": "0:10:26"}
|
35 |
+
{"current_steps": 350, "total_steps": 375, "loss": 0.225, "lr": 2.703481167509281e-07, "epoch": 2.8, "percentage": 93.33, "elapsed_time": "1:44:22", "remaining_time": "0:07:27"}
|
36 |
+
{"current_steps": 360, "total_steps": 375, "loss": 0.2448, "lr": 9.760783710056176e-08, "epoch": 2.88, "percentage": 96.0, "elapsed_time": "1:47:19", "remaining_time": "0:04:28"}
|
37 |
+
{"current_steps": 370, "total_steps": 375, "loss": 0.2144, "lr": 1.0861037824896337e-08, "epoch": 2.96, "percentage": 98.67, "elapsed_time": "1:50:05", "remaining_time": "0:01:29"}
|
38 |
+
{"current_steps": 375, "total_steps": 375, "epoch": 3.0, "percentage": 100.0, "elapsed_time": "1:52:02", "remaining_time": "0:00:00"}
|
trainer_state.json
ADDED
@@ -0,0 +1,301 @@
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