Training in progress, step 100
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- config.json +29 -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
- trainer_log.jsonl +102 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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added_tokens.json
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config.json
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merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
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|
124 |
+
},
|
125 |
+
"151658": {
|
126 |
+
"content": "</tool_call>",
|
127 |
+
"lstrip": false,
|
128 |
+
"normalized": false,
|
129 |
+
"rstrip": false,
|
130 |
+
"single_word": false,
|
131 |
+
"special": false
|
132 |
+
},
|
133 |
+
"151659": {
|
134 |
+
"content": "<|fim_prefix|>",
|
135 |
+
"lstrip": false,
|
136 |
+
"normalized": false,
|
137 |
+
"rstrip": false,
|
138 |
+
"single_word": false,
|
139 |
+
"special": false
|
140 |
+
},
|
141 |
+
"151660": {
|
142 |
+
"content": "<|fim_middle|>",
|
143 |
+
"lstrip": false,
|
144 |
+
"normalized": false,
|
145 |
+
"rstrip": false,
|
146 |
+
"single_word": false,
|
147 |
+
"special": false
|
148 |
+
},
|
149 |
+
"151661": {
|
150 |
+
"content": "<|fim_suffix|>",
|
151 |
+
"lstrip": false,
|
152 |
+
"normalized": false,
|
153 |
+
"rstrip": false,
|
154 |
+
"single_word": false,
|
155 |
+
"special": false
|
156 |
+
},
|
157 |
+
"151662": {
|
158 |
+
"content": "<|fim_pad|>",
|
159 |
+
"lstrip": false,
|
160 |
+
"normalized": false,
|
161 |
+
"rstrip": false,
|
162 |
+
"single_word": false,
|
163 |
+
"special": false
|
164 |
+
},
|
165 |
+
"151663": {
|
166 |
+
"content": "<|repo_name|>",
|
167 |
+
"lstrip": false,
|
168 |
+
"normalized": false,
|
169 |
+
"rstrip": false,
|
170 |
+
"single_word": false,
|
171 |
+
"special": false
|
172 |
+
},
|
173 |
+
"151664": {
|
174 |
+
"content": "<|file_sep|>",
|
175 |
+
"lstrip": false,
|
176 |
+
"normalized": false,
|
177 |
+
"rstrip": false,
|
178 |
+
"single_word": false,
|
179 |
+
"special": false
|
180 |
+
}
|
181 |
+
},
|
182 |
+
"additional_special_tokens": [
|
183 |
+
"<|im_start|>",
|
184 |
+
"<|im_end|>",
|
185 |
+
"<|object_ref_start|>",
|
186 |
+
"<|object_ref_end|>",
|
187 |
+
"<|box_start|>",
|
188 |
+
"<|box_end|>",
|
189 |
+
"<|quad_start|>",
|
190 |
+
"<|quad_end|>",
|
191 |
+
"<|vision_start|>",
|
192 |
+
"<|vision_end|>",
|
193 |
+
"<|vision_pad|>",
|
194 |
+
"<|image_pad|>",
|
195 |
+
"<|video_pad|>"
|
196 |
+
],
|
197 |
+
"bos_token": null,
|
198 |
+
"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 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,102 @@
|
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|
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|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{"current_steps": 1, "total_steps": 1524, "loss": 0.8567, "lr": 6.535947712418302e-08, "epoch": 0.001965923984272608, "percentage": 0.07, "elapsed_time": "0:01:11", "remaining_time": "1 day, 6:22:30"}
|
2 |
+
{"current_steps": 2, "total_steps": 1524, "loss": 0.8409, "lr": 1.3071895424836603e-07, "epoch": 0.003931847968545216, "percentage": 0.13, "elapsed_time": "0:02:05", "remaining_time": "1 day, 2:31:10"}
|
3 |
+
{"current_steps": 3, "total_steps": 1524, "loss": 0.8184, "lr": 1.9607843137254904e-07, "epoch": 0.005897771952817824, "percentage": 0.2, "elapsed_time": "0:02:59", "remaining_time": "1 day, 1:14:09"}
|
4 |
+
{"current_steps": 4, "total_steps": 1524, "loss": 0.8196, "lr": 2.6143790849673207e-07, "epoch": 0.007863695937090432, "percentage": 0.26, "elapsed_time": "0:03:53", "remaining_time": "1 day, 0:35:58"}
|
5 |
+
{"current_steps": 5, "total_steps": 1524, "loss": 0.8381, "lr": 3.267973856209151e-07, "epoch": 0.009829619921363041, "percentage": 0.33, "elapsed_time": "0:04:46", "remaining_time": "1 day, 0:12:19"}
|
6 |
+
{"current_steps": 6, "total_steps": 1524, "loss": 0.849, "lr": 3.921568627450981e-07, "epoch": 0.011795543905635648, "percentage": 0.39, "elapsed_time": "0:05:40", "remaining_time": "23:56:32"}
|
7 |
+
{"current_steps": 7, "total_steps": 1524, "loss": 0.8528, "lr": 4.5751633986928105e-07, "epoch": 0.013761467889908258, "percentage": 0.46, "elapsed_time": "0:06:34", "remaining_time": "23:44:22"}
|
8 |
+
{"current_steps": 8, "total_steps": 1524, "loss": 0.8135, "lr": 5.228758169934641e-07, "epoch": 0.015727391874180863, "percentage": 0.52, "elapsed_time": "0:07:28", "remaining_time": "23:35:46"}
|
9 |
+
{"current_steps": 9, "total_steps": 1524, "loss": 0.841, "lr": 5.882352941176471e-07, "epoch": 0.017693315858453473, "percentage": 0.59, "elapsed_time": "0:08:21", "remaining_time": "23:26:36"}
|
10 |
+
{"current_steps": 10, "total_steps": 1524, "loss": 0.8116, "lr": 6.535947712418302e-07, "epoch": 0.019659239842726082, "percentage": 0.66, "elapsed_time": "0:09:14", "remaining_time": "23:18:46"}
|
11 |
+
{"current_steps": 11, "total_steps": 1524, "loss": 0.8378, "lr": 7.189542483660131e-07, "epoch": 0.02162516382699869, "percentage": 0.72, "elapsed_time": "0:10:07", "remaining_time": "23:11:51"}
|
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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{"current_steps": 17, "total_steps": 1524, "loss": 0.7517, "lr": 1.111111111111111e-06, "epoch": 0.033420707732634336, "percentage": 1.12, "elapsed_time": "0:15:25", "remaining_time": "22:48:05"}
|
18 |
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{"current_steps": 18, "total_steps": 1524, "loss": 0.764, "lr": 1.1764705882352942e-06, "epoch": 0.035386631716906945, "percentage": 1.18, "elapsed_time": "0:16:18", "remaining_time": "22:45:00"}
|
19 |
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{"current_steps": 19, "total_steps": 1524, "loss": 0.7601, "lr": 1.2418300653594772e-06, "epoch": 0.037352555701179554, "percentage": 1.25, "elapsed_time": "0:17:11", "remaining_time": "22:42:07"}
|
20 |
+
{"current_steps": 20, "total_steps": 1524, "loss": 0.7611, "lr": 1.3071895424836604e-06, "epoch": 0.039318479685452164, "percentage": 1.31, "elapsed_time": "0:18:04", "remaining_time": "22:39:23"}
|
21 |
+
{"current_steps": 21, "total_steps": 1524, "loss": 0.7507, "lr": 1.3725490196078434e-06, "epoch": 0.04128440366972477, "percentage": 1.38, "elapsed_time": "0:18:57", "remaining_time": "22:36:57"}
|
22 |
+
{"current_steps": 22, "total_steps": 1524, "loss": 0.7888, "lr": 1.4379084967320261e-06, "epoch": 0.04325032765399738, "percentage": 1.44, "elapsed_time": "0:19:50", "remaining_time": "22:34:38"}
|
23 |
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{"current_steps": 23, "total_steps": 1524, "loss": 0.7509, "lr": 1.5032679738562091e-06, "epoch": 0.045216251638269984, "percentage": 1.51, "elapsed_time": "0:20:43", "remaining_time": "22:32:25"}
|
24 |
+
{"current_steps": 24, "total_steps": 1524, "loss": 0.7112, "lr": 1.5686274509803923e-06, "epoch": 0.047182175622542594, "percentage": 1.57, "elapsed_time": "0:21:36", "remaining_time": "22:30:22"}
|
25 |
+
{"current_steps": 25, "total_steps": 1524, "loss": 0.7437, "lr": 1.6339869281045753e-06, "epoch": 0.0491480996068152, "percentage": 1.64, "elapsed_time": "0:22:29", "remaining_time": "22:28:23"}
|
26 |
+
{"current_steps": 26, "total_steps": 1524, "loss": 0.6998, "lr": 1.6993464052287585e-06, "epoch": 0.05111402359108781, "percentage": 1.71, "elapsed_time": "0:23:22", "remaining_time": "22:26:30"}
|
27 |
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{"current_steps": 27, "total_steps": 1524, "loss": 0.7304, "lr": 1.7647058823529414e-06, "epoch": 0.05307994757536042, "percentage": 1.77, "elapsed_time": "0:24:15", "remaining_time": "22:24:43"}
|
28 |
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|
29 |
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|
30 |
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{"current_steps": 30, "total_steps": 1524, "loss": 0.7195, "lr": 1.96078431372549e-06, "epoch": 0.05897771952817824, "percentage": 1.97, "elapsed_time": "0:26:54", "remaining_time": "22:19:40"}
|
31 |
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{"current_steps": 31, "total_steps": 1524, "loss": 0.6714, "lr": 2.0261437908496734e-06, "epoch": 0.06094364351245085, "percentage": 2.03, "elapsed_time": "0:27:47", "remaining_time": "22:18:13"}
|
32 |
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{"current_steps": 32, "total_steps": 1524, "loss": 0.6816, "lr": 2.0915032679738565e-06, "epoch": 0.06290956749672345, "percentage": 2.1, "elapsed_time": "0:28:40", "remaining_time": "22:17:21"}
|
33 |
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{"current_steps": 33, "total_steps": 1524, "loss": 0.6715, "lr": 2.1568627450980393e-06, "epoch": 0.06487549148099607, "percentage": 2.17, "elapsed_time": "0:29:34", "remaining_time": "22:15:58"}
|
34 |
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{"current_steps": 34, "total_steps": 1524, "loss": 0.6749, "lr": 2.222222222222222e-06, "epoch": 0.06684141546526867, "percentage": 2.23, "elapsed_time": "0:30:27", "remaining_time": "22:14:37"}
|
35 |
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{"current_steps": 35, "total_steps": 1524, "loss": 0.6724, "lr": 2.2875816993464053e-06, "epoch": 0.06880733944954129, "percentage": 2.3, "elapsed_time": "0:31:20", "remaining_time": "22:13:11"}
|
36 |
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|
37 |
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|
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|
39 |
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|
40 |
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|
41 |
+
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|
42 |
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{"current_steps": 42, "total_steps": 1524, "loss": 0.648, "lr": 2.7450980392156867e-06, "epoch": 0.08256880733944955, "percentage": 2.76, "elapsed_time": "0:37:35", "remaining_time": "22:06:43"}
|
43 |
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|
44 |
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|
45 |
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|
46 |
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|
47 |
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|
48 |
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|
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|
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|
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|
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training_args.bin
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vocab.json
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