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
- model.safetensors.index.json +346 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +208 -0
- trainer_log.jsonl +168 -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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"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 +1,168 @@
|
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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": 498, "loss": 1.2696, "lr": 2.0000000000000002e-07, "epoch": 0.006, "percentage": 0.2, "elapsed_time": "0:01:04", "remaining_time": "8:52:53"}
|
2 |
+
{"current_steps": 2, "total_steps": 498, "loss": 1.2574, "lr": 4.0000000000000003e-07, "epoch": 0.012, "percentage": 0.4, "elapsed_time": "0:02:02", "remaining_time": "8:25:10"}
|
3 |
+
{"current_steps": 3, "total_steps": 498, "loss": 1.2562, "lr": 6.000000000000001e-07, "epoch": 0.018, "percentage": 0.6, "elapsed_time": "0:02:57", "remaining_time": "8:08:09"}
|
4 |
+
{"current_steps": 4, "total_steps": 498, "loss": 1.2938, "lr": 8.000000000000001e-07, "epoch": 0.024, "percentage": 0.8, "elapsed_time": "0:03:55", "remaining_time": "8:05:25"}
|
5 |
+
{"current_steps": 5, "total_steps": 498, "loss": 1.2508, "lr": 1.0000000000000002e-06, "epoch": 0.03, "percentage": 1.0, "elapsed_time": "0:04:54", "remaining_time": "8:04:32"}
|
6 |
+
{"current_steps": 6, "total_steps": 498, "loss": 1.2622, "lr": 1.2000000000000002e-06, "epoch": 0.036, "percentage": 1.2, "elapsed_time": "0:05:50", "remaining_time": "7:58:57"}
|
7 |
+
{"current_steps": 7, "total_steps": 498, "loss": 1.2409, "lr": 1.4000000000000001e-06, "epoch": 0.042, "percentage": 1.41, "elapsed_time": "0:06:47", "remaining_time": "7:55:55"}
|
8 |
+
{"current_steps": 8, "total_steps": 498, "loss": 1.2019, "lr": 1.6000000000000001e-06, "epoch": 0.048, "percentage": 1.61, "elapsed_time": "0:07:39", "remaining_time": "7:48:54"}
|
9 |
+
{"current_steps": 9, "total_steps": 498, "loss": 1.1884, "lr": 1.8000000000000001e-06, "epoch": 0.054, "percentage": 1.81, "elapsed_time": "0:08:42", "remaining_time": "7:52:43"}
|
10 |
+
{"current_steps": 10, "total_steps": 498, "loss": 1.2281, "lr": 2.0000000000000003e-06, "epoch": 0.06, "percentage": 2.01, "elapsed_time": "0:09:42", "remaining_time": "7:53:36"}
|
11 |
+
{"current_steps": 11, "total_steps": 498, "loss": 1.1239, "lr": 2.2e-06, "epoch": 0.066, "percentage": 2.21, "elapsed_time": "0:10:38", "remaining_time": "7:50:46"}
|
12 |
+
{"current_steps": 12, "total_steps": 498, "loss": 1.1911, "lr": 2.4000000000000003e-06, "epoch": 0.072, "percentage": 2.41, "elapsed_time": "0:11:34", "remaining_time": "7:48:51"}
|
13 |
+
{"current_steps": 13, "total_steps": 498, "loss": 1.1153, "lr": 2.6e-06, "epoch": 0.078, "percentage": 2.61, "elapsed_time": "0:12:23", "remaining_time": "7:42:19"}
|
14 |
+
{"current_steps": 14, "total_steps": 498, "loss": 1.1497, "lr": 2.8000000000000003e-06, "epoch": 0.084, "percentage": 2.81, "elapsed_time": "0:13:14", "remaining_time": "7:37:31"}
|
15 |
+
{"current_steps": 15, "total_steps": 498, "loss": 1.1334, "lr": 3e-06, "epoch": 0.09, "percentage": 3.01, "elapsed_time": "0:14:14", "remaining_time": "7:38:28"}
|
16 |
+
{"current_steps": 16, "total_steps": 498, "loss": 1.1403, "lr": 3.2000000000000003e-06, "epoch": 0.096, "percentage": 3.21, "elapsed_time": "0:15:00", "remaining_time": "7:32:11"}
|
17 |
+
{"current_steps": 17, "total_steps": 498, "loss": 1.1283, "lr": 3.4000000000000005e-06, "epoch": 0.102, "percentage": 3.41, "elapsed_time": "0:15:47", "remaining_time": "7:26:34"}
|
18 |
+
{"current_steps": 18, "total_steps": 498, "loss": 1.0746, "lr": 3.6000000000000003e-06, "epoch": 0.108, "percentage": 3.61, "elapsed_time": "0:16:35", "remaining_time": "7:22:29"}
|
19 |
+
{"current_steps": 19, "total_steps": 498, "loss": 1.1355, "lr": 3.8000000000000005e-06, "epoch": 0.114, "percentage": 3.82, "elapsed_time": "0:17:28", "remaining_time": "7:20:37"}
|
20 |
+
{"current_steps": 20, "total_steps": 498, "loss": 1.0489, "lr": 4.000000000000001e-06, "epoch": 0.12, "percentage": 4.02, "elapsed_time": "0:18:23", "remaining_time": "7:19:41"}
|
21 |
+
{"current_steps": 21, "total_steps": 498, "loss": 1.0639, "lr": 4.2000000000000004e-06, "epoch": 0.126, "percentage": 4.22, "elapsed_time": "0:19:23", "remaining_time": "7:20:26"}
|
22 |
+
{"current_steps": 22, "total_steps": 498, "loss": 1.0202, "lr": 4.4e-06, "epoch": 0.132, "percentage": 4.42, "elapsed_time": "0:20:17", "remaining_time": "7:18:56"}
|
23 |
+
{"current_steps": 23, "total_steps": 498, "loss": 1.029, "lr": 4.600000000000001e-06, "epoch": 0.138, "percentage": 4.62, "elapsed_time": "0:21:08", "remaining_time": "7:16:35"}
|
24 |
+
{"current_steps": 24, "total_steps": 498, "loss": 1.0487, "lr": 4.800000000000001e-06, "epoch": 0.144, "percentage": 4.82, "elapsed_time": "0:22:03", "remaining_time": "7:15:47"}
|
25 |
+
{"current_steps": 25, "total_steps": 498, "loss": 0.996, "lr": 5e-06, "epoch": 0.15, "percentage": 5.02, "elapsed_time": "0:22:57", "remaining_time": "7:14:16"}
|
26 |
+
{"current_steps": 26, "total_steps": 498, "loss": 0.9986, "lr": 5.2e-06, "epoch": 0.156, "percentage": 5.22, "elapsed_time": "0:23:52", "remaining_time": "7:13:20"}
|
27 |
+
{"current_steps": 27, "total_steps": 498, "loss": 1.01, "lr": 5.400000000000001e-06, "epoch": 0.162, "percentage": 5.42, "elapsed_time": "0:24:45", "remaining_time": "7:11:45"}
|
28 |
+
{"current_steps": 28, "total_steps": 498, "loss": 1.022, "lr": 5.600000000000001e-06, "epoch": 0.168, "percentage": 5.62, "elapsed_time": "0:25:43", "remaining_time": "7:11:51"}
|
29 |
+
{"current_steps": 29, "total_steps": 498, "loss": 0.9666, "lr": 5.8e-06, "epoch": 0.174, "percentage": 5.82, "elapsed_time": "0:26:30", "remaining_time": "7:08:48"}
|
30 |
+
{"current_steps": 30, "total_steps": 498, "loss": 1.0246, "lr": 6e-06, "epoch": 0.18, "percentage": 6.02, "elapsed_time": "0:27:29", "remaining_time": "7:08:57"}
|
31 |
+
{"current_steps": 31, "total_steps": 498, "loss": 0.9475, "lr": 6.200000000000001e-06, "epoch": 0.186, "percentage": 6.22, "elapsed_time": "0:28:23", "remaining_time": "7:07:37"}
|
32 |
+
{"current_steps": 32, "total_steps": 498, "loss": 0.9389, "lr": 6.4000000000000006e-06, "epoch": 0.192, "percentage": 6.43, "elapsed_time": "0:29:12", "remaining_time": "7:05:18"}
|
33 |
+
{"current_steps": 33, "total_steps": 498, "loss": 0.9617, "lr": 6.600000000000001e-06, "epoch": 0.198, "percentage": 6.63, "elapsed_time": "0:30:03", "remaining_time": "7:03:31"}
|
34 |
+
{"current_steps": 34, "total_steps": 498, "loss": 0.958, "lr": 6.800000000000001e-06, "epoch": 0.204, "percentage": 6.83, "elapsed_time": "0:30:58", "remaining_time": "7:02:47"}
|
35 |
+
{"current_steps": 35, "total_steps": 498, "loss": 0.967, "lr": 7e-06, "epoch": 0.21, "percentage": 7.03, "elapsed_time": "0:31:53", "remaining_time": "7:01:48"}
|
36 |
+
{"current_steps": 36, "total_steps": 498, "loss": 0.9741, "lr": 7.2000000000000005e-06, "epoch": 0.216, "percentage": 7.23, "elapsed_time": "0:32:45", "remaining_time": "7:00:25"}
|
37 |
+
{"current_steps": 37, "total_steps": 498, "loss": 0.9337, "lr": 7.4e-06, "epoch": 0.222, "percentage": 7.43, "elapsed_time": "0:33:39", "remaining_time": "6:59:16"}
|
38 |
+
{"current_steps": 38, "total_steps": 498, "loss": 0.9611, "lr": 7.600000000000001e-06, "epoch": 0.228, "percentage": 7.63, "elapsed_time": "0:34:32", "remaining_time": "6:58:07"}
|
39 |
+
{"current_steps": 39, "total_steps": 498, "loss": 0.9655, "lr": 7.800000000000002e-06, "epoch": 0.234, "percentage": 7.83, "elapsed_time": "0:35:32", "remaining_time": "6:58:20"}
|
40 |
+
{"current_steps": 40, "total_steps": 498, "loss": 0.9412, "lr": 8.000000000000001e-06, "epoch": 0.24, "percentage": 8.03, "elapsed_time": "0:36:22", "remaining_time": "6:56:25"}
|
41 |
+
{"current_steps": 41, "total_steps": 498, "loss": 0.9366, "lr": 8.2e-06, "epoch": 0.246, "percentage": 8.23, "elapsed_time": "0:37:11", "remaining_time": "6:54:32"}
|
42 |
+
{"current_steps": 42, "total_steps": 498, "loss": 0.9556, "lr": 8.400000000000001e-06, "epoch": 0.252, "percentage": 8.43, "elapsed_time": "0:38:09", "remaining_time": "6:54:12"}
|
43 |
+
{"current_steps": 43, "total_steps": 498, "loss": 0.9534, "lr": 8.6e-06, "epoch": 0.258, "percentage": 8.63, "elapsed_time": "0:39:04", "remaining_time": "6:53:31"}
|
44 |
+
{"current_steps": 44, "total_steps": 498, "loss": 0.9778, "lr": 8.8e-06, "epoch": 0.264, "percentage": 8.84, "elapsed_time": "0:39:55", "remaining_time": "6:52:01"}
|
45 |
+
{"current_steps": 45, "total_steps": 498, "loss": 0.9147, "lr": 9e-06, "epoch": 0.27, "percentage": 9.04, "elapsed_time": "0:40:55", "remaining_time": "6:52:02"}
|
46 |
+
{"current_steps": 46, "total_steps": 498, "loss": 0.9265, "lr": 9.200000000000002e-06, "epoch": 0.276, "percentage": 9.24, "elapsed_time": "0:41:47", "remaining_time": "6:50:34"}
|
47 |
+
{"current_steps": 47, "total_steps": 498, "loss": 0.9426, "lr": 9.4e-06, "epoch": 0.282, "percentage": 9.44, "elapsed_time": "0:42:54", "remaining_time": "6:51:41"}
|
48 |
+
{"current_steps": 48, "total_steps": 498, "loss": 0.9417, "lr": 9.600000000000001e-06, "epoch": 0.288, "percentage": 9.64, "elapsed_time": "0:43:51", "remaining_time": "6:51:13"}
|
49 |
+
{"current_steps": 49, "total_steps": 498, "loss": 0.9448, "lr": 9.800000000000001e-06, "epoch": 0.294, "percentage": 9.84, "elapsed_time": "0:44:50", "remaining_time": "6:50:55"}
|
50 |
+
{"current_steps": 50, "total_steps": 498, "loss": 0.9279, "lr": 1e-05, "epoch": 0.3, "percentage": 10.04, "elapsed_time": "0:45:47", "remaining_time": "6:50:16"}
|
51 |
+
{"current_steps": 51, "total_steps": 498, "loss": 0.9508, "lr": 9.999877063188124e-06, "epoch": 0.306, "percentage": 10.24, "elapsed_time": "0:46:45", "remaining_time": "6:49:46"}
|
52 |
+
{"current_steps": 52, "total_steps": 498, "loss": 0.9041, "lr": 9.999508258797876e-06, "epoch": 0.312, "percentage": 10.44, "elapsed_time": "0:47:29", "remaining_time": "6:47:23"}
|
53 |
+
{"current_steps": 53, "total_steps": 498, "loss": 0.9314, "lr": 9.998893604965111e-06, "epoch": 0.318, "percentage": 10.64, "elapsed_time": "0:48:26", "remaining_time": "6:46:42"}
|
54 |
+
{"current_steps": 54, "total_steps": 498, "loss": 0.9362, "lr": 9.998033131915266e-06, "epoch": 0.324, "percentage": 10.84, "elapsed_time": "0:49:24", "remaining_time": "6:46:12"}
|
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149 |
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150 |
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151 |
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152 |
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153 |
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154 |
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161 |
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|
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:e81db1f4fe4d35b988eace1f9d51e66e6d4a266fdcdc2fd39f161dda2a90c13a
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size 7416
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vocab.json
ADDED
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