Training in progress, epoch 0
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
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- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_log.jsonl +105 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
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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
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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 +1,105 @@
|
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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": 312, "loss": 1.0104, "lr": 3.125e-07, "epoch": 0.0096, "percentage": 0.32, "elapsed_time": "0:01:43", "remaining_time": "8:55:14"}
|
2 |
+
{"current_steps": 2, "total_steps": 312, "loss": 1.0026, "lr": 6.25e-07, "epoch": 0.0192, "percentage": 0.64, "elapsed_time": "0:03:33", "remaining_time": "9:11:53"}
|
3 |
+
{"current_steps": 3, "total_steps": 312, "loss": 1.0329, "lr": 9.375000000000001e-07, "epoch": 0.0288, "percentage": 0.96, "elapsed_time": "0:05:10", "remaining_time": "8:52:33"}
|
4 |
+
{"current_steps": 4, "total_steps": 312, "loss": 0.9934, "lr": 1.25e-06, "epoch": 0.0384, "percentage": 1.28, "elapsed_time": "0:06:48", "remaining_time": "8:44:15"}
|
5 |
+
{"current_steps": 5, "total_steps": 312, "loss": 0.9941, "lr": 1.5625e-06, "epoch": 0.048, "percentage": 1.6, "elapsed_time": "0:08:22", "remaining_time": "8:34:15"}
|
6 |
+
{"current_steps": 6, "total_steps": 312, "loss": 0.9974, "lr": 1.8750000000000003e-06, "epoch": 0.0576, "percentage": 1.92, "elapsed_time": "0:09:44", "remaining_time": "8:16:47"}
|
7 |
+
{"current_steps": 7, "total_steps": 312, "loss": 0.9291, "lr": 2.1875000000000002e-06, "epoch": 0.0672, "percentage": 2.24, "elapsed_time": "0:11:10", "remaining_time": "8:07:02"}
|
8 |
+
{"current_steps": 8, "total_steps": 312, "loss": 0.9198, "lr": 2.5e-06, "epoch": 0.0768, "percentage": 2.56, "elapsed_time": "0:12:40", "remaining_time": "8:01:51"}
|
9 |
+
{"current_steps": 9, "total_steps": 312, "loss": 0.9106, "lr": 2.8125e-06, "epoch": 0.0864, "percentage": 2.88, "elapsed_time": "0:14:14", "remaining_time": "7:59:44"}
|
10 |
+
{"current_steps": 10, "total_steps": 312, "loss": 0.9226, "lr": 3.125e-06, "epoch": 0.096, "percentage": 3.21, "elapsed_time": "0:15:51", "remaining_time": "7:58:43"}
|
11 |
+
{"current_steps": 11, "total_steps": 312, "loss": 0.8899, "lr": 3.4375e-06, "epoch": 0.1056, "percentage": 3.53, "elapsed_time": "0:17:34", "remaining_time": "8:01:00"}
|
12 |
+
{"current_steps": 12, "total_steps": 312, "loss": 0.9156, "lr": 3.7500000000000005e-06, "epoch": 0.1152, "percentage": 3.85, "elapsed_time": "0:19:00", "remaining_time": "7:55:01"}
|
13 |
+
{"current_steps": 13, "total_steps": 312, "loss": 0.8831, "lr": 4.0625000000000005e-06, "epoch": 0.1248, "percentage": 4.17, "elapsed_time": "0:20:44", "remaining_time": "7:57:06"}
|
14 |
+
{"current_steps": 14, "total_steps": 312, "loss": 0.8756, "lr": 4.3750000000000005e-06, "epoch": 0.1344, "percentage": 4.49, "elapsed_time": "0:22:12", "remaining_time": "7:52:42"}
|
15 |
+
{"current_steps": 15, "total_steps": 312, "loss": 0.8935, "lr": 4.6875000000000004e-06, "epoch": 0.144, "percentage": 4.81, "elapsed_time": "0:23:46", "remaining_time": "7:50:51"}
|
16 |
+
{"current_steps": 16, "total_steps": 312, "loss": 0.8094, "lr": 5e-06, "epoch": 0.1536, "percentage": 5.13, "elapsed_time": "0:25:19", "remaining_time": "7:48:26"}
|
17 |
+
{"current_steps": 17, "total_steps": 312, "loss": 0.8232, "lr": 5.3125e-06, "epoch": 0.1632, "percentage": 5.45, "elapsed_time": "0:26:43", "remaining_time": "7:43:38"}
|
18 |
+
{"current_steps": 18, "total_steps": 312, "loss": 0.8152, "lr": 5.625e-06, "epoch": 0.1728, "percentage": 5.77, "elapsed_time": "0:28:14", "remaining_time": "7:41:23"}
|
19 |
+
{"current_steps": 19, "total_steps": 312, "loss": 0.8131, "lr": 5.9375e-06, "epoch": 0.1824, "percentage": 6.09, "elapsed_time": "0:29:40", "remaining_time": "7:37:36"}
|
20 |
+
{"current_steps": 20, "total_steps": 312, "loss": 0.7559, "lr": 6.25e-06, "epoch": 0.192, "percentage": 6.41, "elapsed_time": "0:31:13", "remaining_time": "7:35:57"}
|
21 |
+
{"current_steps": 21, "total_steps": 312, "loss": 0.7587, "lr": 6.5625e-06, "epoch": 0.2016, "percentage": 6.73, "elapsed_time": "0:32:49", "remaining_time": "7:34:56"}
|
22 |
+
{"current_steps": 22, "total_steps": 312, "loss": 0.779, "lr": 6.875e-06, "epoch": 0.2112, "percentage": 7.05, "elapsed_time": "0:34:19", "remaining_time": "7:32:22"}
|
23 |
+
{"current_steps": 23, "total_steps": 312, "loss": 0.7286, "lr": 7.1875e-06, "epoch": 0.2208, "percentage": 7.37, "elapsed_time": "0:35:50", "remaining_time": "7:30:20"}
|
24 |
+
{"current_steps": 24, "total_steps": 312, "loss": 0.768, "lr": 7.500000000000001e-06, "epoch": 0.2304, "percentage": 7.69, "elapsed_time": "0:37:25", "remaining_time": "7:29:09"}
|
25 |
+
{"current_steps": 25, "total_steps": 312, "loss": 0.7009, "lr": 7.8125e-06, "epoch": 0.24, "percentage": 8.01, "elapsed_time": "0:39:07", "remaining_time": "7:29:03"}
|
26 |
+
{"current_steps": 26, "total_steps": 312, "loss": 0.7441, "lr": 8.125000000000001e-06, "epoch": 0.2496, "percentage": 8.33, "elapsed_time": "0:40:18", "remaining_time": "7:23:19"}
|
27 |
+
{"current_steps": 27, "total_steps": 312, "loss": 0.7463, "lr": 8.4375e-06, "epoch": 0.2592, "percentage": 8.65, "elapsed_time": "0:41:38", "remaining_time": "7:19:35"}
|
28 |
+
{"current_steps": 28, "total_steps": 312, "loss": 0.6999, "lr": 8.750000000000001e-06, "epoch": 0.2688, "percentage": 8.97, "elapsed_time": "0:43:11", "remaining_time": "7:18:00"}
|
29 |
+
{"current_steps": 29, "total_steps": 312, "loss": 0.7203, "lr": 9.0625e-06, "epoch": 0.2784, "percentage": 9.29, "elapsed_time": "0:44:48", "remaining_time": "7:17:14"}
|
30 |
+
{"current_steps": 30, "total_steps": 312, "loss": 0.725, "lr": 9.375000000000001e-06, "epoch": 0.288, "percentage": 9.62, "elapsed_time": "0:46:08", "remaining_time": "7:13:47"}
|
31 |
+
{"current_steps": 31, "total_steps": 312, "loss": 0.7323, "lr": 9.6875e-06, "epoch": 0.2976, "percentage": 9.94, "elapsed_time": "0:47:51", "remaining_time": "7:13:48"}
|
32 |
+
{"current_steps": 32, "total_steps": 312, "loss": 0.7081, "lr": 1e-05, "epoch": 0.3072, "percentage": 10.26, "elapsed_time": "0:49:27", "remaining_time": "7:12:48"}
|
33 |
+
{"current_steps": 33, "total_steps": 312, "loss": 0.702, "lr": 9.999685283773504e-06, "epoch": 0.3168, "percentage": 10.58, "elapsed_time": "0:50:49", "remaining_time": "7:09:40"}
|
34 |
+
{"current_steps": 34, "total_steps": 312, "loss": 0.679, "lr": 9.998741174712534e-06, "epoch": 0.3264, "percentage": 10.9, "elapsed_time": "0:52:28", "remaining_time": "7:09:03"}
|
35 |
+
{"current_steps": 35, "total_steps": 312, "loss": 0.7096, "lr": 9.997167791667668e-06, "epoch": 0.336, "percentage": 11.22, "elapsed_time": "0:54:00", "remaining_time": "7:07:23"}
|
36 |
+
{"current_steps": 36, "total_steps": 312, "loss": 0.6878, "lr": 9.994965332706574e-06, "epoch": 0.3456, "percentage": 11.54, "elapsed_time": "0:55:33", "remaining_time": "7:05:53"}
|
37 |
+
{"current_steps": 37, "total_steps": 312, "loss": 0.7157, "lr": 9.992134075089085e-06, "epoch": 0.3552, "percentage": 11.86, "elapsed_time": "0:57:12", "remaining_time": "7:05:12"}
|
38 |
+
{"current_steps": 38, "total_steps": 312, "loss": 0.709, "lr": 9.98867437523228e-06, "epoch": 0.3648, "percentage": 12.18, "elapsed_time": "0:58:54", "remaining_time": "7:04:49"}
|
39 |
+
{"current_steps": 39, "total_steps": 312, "loss": 0.6934, "lr": 9.984586668665641e-06, "epoch": 0.3744, "percentage": 12.5, "elapsed_time": "1:00:34", "remaining_time": "7:04:01"}
|
40 |
+
{"current_steps": 40, "total_steps": 312, "loss": 0.6694, "lr": 9.979871469976197e-06, "epoch": 0.384, "percentage": 12.82, "elapsed_time": "1:01:55", "remaining_time": "7:01:04"}
|
41 |
+
{"current_steps": 41, "total_steps": 312, "loss": 0.6651, "lr": 9.974529372743762e-06, "epoch": 0.3936, "percentage": 13.14, "elapsed_time": "1:03:35", "remaining_time": "7:00:22"}
|
42 |
+
{"current_steps": 42, "total_steps": 312, "loss": 0.6625, "lr": 9.968561049466214e-06, "epoch": 0.4032, "percentage": 13.46, "elapsed_time": "1:05:03", "remaining_time": "6:58:14"}
|
43 |
+
{"current_steps": 43, "total_steps": 312, "loss": 0.6556, "lr": 9.961967251474823e-06, "epoch": 0.4128, "percentage": 13.78, "elapsed_time": "1:06:33", "remaining_time": "6:56:19"}
|
44 |
+
{"current_steps": 44, "total_steps": 312, "loss": 0.6638, "lr": 9.954748808839675e-06, "epoch": 0.4224, "percentage": 14.1, "elapsed_time": "1:07:51", "remaining_time": "6:53:21"}
|
45 |
+
{"current_steps": 45, "total_steps": 312, "loss": 0.6636, "lr": 9.946906630265184e-06, "epoch": 0.432, "percentage": 14.42, "elapsed_time": "1:09:26", "remaining_time": "6:52:00"}
|
46 |
+
{"current_steps": 46, "total_steps": 312, "loss": 0.6641, "lr": 9.938441702975689e-06, "epoch": 0.4416, "percentage": 14.74, "elapsed_time": "1:11:06", "remaining_time": "6:51:09"}
|
47 |
+
{"current_steps": 47, "total_steps": 312, "loss": 0.6812, "lr": 9.92935509259118e-06, "epoch": 0.4512, "percentage": 15.06, "elapsed_time": "1:12:52", "remaining_time": "6:50:51"}
|
48 |
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{"current_steps": 48, "total_steps": 312, "loss": 0.6607, "lr": 9.91964794299315e-06, "epoch": 0.4608, "percentage": 15.38, "elapsed_time": "1:14:21", "remaining_time": "6:48:58"}
|
49 |
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{"current_steps": 49, "total_steps": 312, "loss": 0.695, "lr": 9.909321476180594e-06, "epoch": 0.4704, "percentage": 15.71, "elapsed_time": "1:16:11", "remaining_time": "6:48:57"}
|
50 |
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{"current_steps": 50, "total_steps": 312, "loss": 0.6679, "lr": 9.898376992116179e-06, "epoch": 0.48, "percentage": 16.03, "elapsed_time": "1:17:38", "remaining_time": "6:46:52"}
|
51 |
+
{"current_steps": 51, "total_steps": 312, "loss": 0.6666, "lr": 9.886815868562596e-06, "epoch": 0.4896, "percentage": 16.35, "elapsed_time": "1:19:19", "remaining_time": "6:45:59"}
|
52 |
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{"current_steps": 52, "total_steps": 312, "loss": 0.6745, "lr": 9.874639560909118e-06, "epoch": 0.4992, "percentage": 16.67, "elapsed_time": "1:20:54", "remaining_time": "6:44:31"}
|
53 |
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{"current_steps": 53, "total_steps": 312, "loss": 0.6894, "lr": 9.861849601988384e-06, "epoch": 0.5088, "percentage": 16.99, "elapsed_time": "1:22:12", "remaining_time": "6:41:45"}
|
54 |
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{"current_steps": 54, "total_steps": 312, "loss": 0.6771, "lr": 9.848447601883436e-06, "epoch": 0.5184, "percentage": 17.31, "elapsed_time": "1:23:46", "remaining_time": "6:40:14"}
|
55 |
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{"current_steps": 55, "total_steps": 312, "loss": 0.6468, "lr": 9.834435247725032e-06, "epoch": 0.528, "percentage": 17.63, "elapsed_time": "1:25:19", "remaining_time": "6:38:44"}
|
56 |
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|
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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size 7352
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vocab.json
ADDED
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