Training in progress, epoch 1
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 +271 -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 +1,271 @@
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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": 1235, "loss": 1.6221, "lr": 3.2258064516129035e-07, "epoch": 0.004048582995951417, "percentage": 0.08, "elapsed_time": "0:00:14", "remaining_time": "5:05:21"}
|
2 |
+
{"current_steps": 2, "total_steps": 1235, "loss": 1.6157, "lr": 6.451612903225807e-07, "epoch": 0.008097165991902834, "percentage": 0.16, "elapsed_time": "0:00:20", "remaining_time": "3:34:29"}
|
3 |
+
{"current_steps": 3, "total_steps": 1235, "loss": 1.6613, "lr": 9.67741935483871e-07, "epoch": 0.012145748987854251, "percentage": 0.24, "elapsed_time": "0:00:27", "remaining_time": "3:05:50"}
|
4 |
+
{"current_steps": 4, "total_steps": 1235, "loss": 1.6262, "lr": 1.2903225806451614e-06, "epoch": 0.016194331983805668, "percentage": 0.32, "elapsed_time": "0:00:32", "remaining_time": "2:49:10"}
|
5 |
+
{"current_steps": 5, "total_steps": 1235, "loss": 1.6023, "lr": 1.6129032258064516e-06, "epoch": 0.020242914979757085, "percentage": 0.4, "elapsed_time": "0:00:39", "remaining_time": "2:43:33"}
|
6 |
+
{"current_steps": 6, "total_steps": 1235, "loss": 1.5848, "lr": 1.935483870967742e-06, "epoch": 0.024291497975708502, "percentage": 0.49, "elapsed_time": "0:00:46", "remaining_time": "2:39:01"}
|
7 |
+
{"current_steps": 7, "total_steps": 1235, "loss": 1.5517, "lr": 2.2580645161290324e-06, "epoch": 0.02834008097165992, "percentage": 0.57, "elapsed_time": "0:00:52", "remaining_time": "2:33:04"}
|
8 |
+
{"current_steps": 8, "total_steps": 1235, "loss": 1.5369, "lr": 2.580645161290323e-06, "epoch": 0.032388663967611336, "percentage": 0.65, "elapsed_time": "0:00:57", "remaining_time": "2:27:25"}
|
9 |
+
{"current_steps": 9, "total_steps": 1235, "loss": 1.4968, "lr": 2.903225806451613e-06, "epoch": 0.03643724696356275, "percentage": 0.73, "elapsed_time": "0:01:03", "remaining_time": "2:24:12"}
|
10 |
+
{"current_steps": 10, "total_steps": 1235, "loss": 1.4586, "lr": 3.225806451612903e-06, "epoch": 0.04048582995951417, "percentage": 0.81, "elapsed_time": "0:01:08", "remaining_time": "2:20:46"}
|
11 |
+
{"current_steps": 11, "total_steps": 1235, "loss": 1.4714, "lr": 3.548387096774194e-06, "epoch": 0.044534412955465584, "percentage": 0.89, "elapsed_time": "0:01:14", "remaining_time": "2:18:45"}
|
12 |
+
{"current_steps": 12, "total_steps": 1235, "loss": 1.4783, "lr": 3.870967741935484e-06, "epoch": 0.048582995951417005, "percentage": 0.97, "elapsed_time": "0:01:20", "remaining_time": "2:16:29"}
|
13 |
+
{"current_steps": 13, "total_steps": 1235, "loss": 1.477, "lr": 4.193548387096774e-06, "epoch": 0.05263157894736842, "percentage": 1.05, "elapsed_time": "0:01:25", "remaining_time": "2:14:23"}
|
14 |
+
{"current_steps": 14, "total_steps": 1235, "loss": 1.4858, "lr": 4.516129032258065e-06, "epoch": 0.05668016194331984, "percentage": 1.13, "elapsed_time": "0:01:31", "remaining_time": "2:13:05"}
|
15 |
+
{"current_steps": 15, "total_steps": 1235, "loss": 1.4483, "lr": 4.838709677419355e-06, "epoch": 0.06072874493927125, "percentage": 1.21, "elapsed_time": "0:01:37", "remaining_time": "2:11:58"}
|
16 |
+
{"current_steps": 16, "total_steps": 1235, "loss": 1.3883, "lr": 5.161290322580646e-06, "epoch": 0.06477732793522267, "percentage": 1.3, "elapsed_time": "0:01:42", "remaining_time": "2:10:28"}
|
17 |
+
{"current_steps": 17, "total_steps": 1235, "loss": 1.3735, "lr": 5.483870967741935e-06, "epoch": 0.06882591093117409, "percentage": 1.38, "elapsed_time": "0:01:48", "remaining_time": "2:09:05"}
|
18 |
+
{"current_steps": 18, "total_steps": 1235, "loss": 1.3653, "lr": 5.806451612903226e-06, "epoch": 0.0728744939271255, "percentage": 1.46, "elapsed_time": "0:01:53", "remaining_time": "2:08:24"}
|
19 |
+
{"current_steps": 19, "total_steps": 1235, "loss": 1.3734, "lr": 6.129032258064517e-06, "epoch": 0.07692307692307693, "percentage": 1.54, "elapsed_time": "0:01:59", "remaining_time": "2:07:11"}
|
20 |
+
{"current_steps": 20, "total_steps": 1235, "loss": 1.3279, "lr": 6.451612903225806e-06, "epoch": 0.08097165991902834, "percentage": 1.62, "elapsed_time": "0:02:05", "remaining_time": "2:06:45"}
|
21 |
+
{"current_steps": 21, "total_steps": 1235, "loss": 1.3102, "lr": 6.774193548387097e-06, "epoch": 0.08502024291497975, "percentage": 1.7, "elapsed_time": "0:02:10", "remaining_time": "2:05:46"}
|
22 |
+
{"current_steps": 22, "total_steps": 1235, "loss": 1.3213, "lr": 7.096774193548388e-06, "epoch": 0.08906882591093117, "percentage": 1.78, "elapsed_time": "0:02:16", "remaining_time": "2:05:21"}
|
23 |
+
{"current_steps": 23, "total_steps": 1235, "loss": 1.287, "lr": 7.4193548387096784e-06, "epoch": 0.0931174089068826, "percentage": 1.86, "elapsed_time": "0:02:22", "remaining_time": "2:04:58"}
|
24 |
+
{"current_steps": 24, "total_steps": 1235, "loss": 1.2954, "lr": 7.741935483870968e-06, "epoch": 0.09716599190283401, "percentage": 1.94, "elapsed_time": "0:02:28", "remaining_time": "2:04:28"}
|
25 |
+
{"current_steps": 25, "total_steps": 1235, "loss": 1.307, "lr": 8.064516129032258e-06, "epoch": 0.10121457489878542, "percentage": 2.02, "elapsed_time": "0:02:33", "remaining_time": "2:04:01"}
|
26 |
+
{"current_steps": 26, "total_steps": 1235, "loss": 1.2806, "lr": 8.387096774193549e-06, "epoch": 0.10526315789473684, "percentage": 2.11, "elapsed_time": "0:02:39", "remaining_time": "2:03:15"}
|
27 |
+
{"current_steps": 27, "total_steps": 1235, "loss": 1.2696, "lr": 8.70967741935484e-06, "epoch": 0.10931174089068826, "percentage": 2.19, "elapsed_time": "0:02:44", "remaining_time": "2:02:42"}
|
28 |
+
{"current_steps": 28, "total_steps": 1235, "loss": 1.2506, "lr": 9.03225806451613e-06, "epoch": 0.11336032388663968, "percentage": 2.27, "elapsed_time": "0:02:49", "remaining_time": "2:02:02"}
|
29 |
+
{"current_steps": 29, "total_steps": 1235, "loss": 1.2536, "lr": 9.35483870967742e-06, "epoch": 0.11740890688259109, "percentage": 2.35, "elapsed_time": "0:02:55", "remaining_time": "2:01:25"}
|
30 |
+
{"current_steps": 30, "total_steps": 1235, "loss": 1.2687, "lr": 9.67741935483871e-06, "epoch": 0.1214574898785425, "percentage": 2.43, "elapsed_time": "0:03:00", "remaining_time": "2:00:52"}
|
31 |
+
{"current_steps": 31, "total_steps": 1235, "loss": 1.2606, "lr": 1e-05, "epoch": 0.12550607287449392, "percentage": 2.51, "elapsed_time": "0:03:05", "remaining_time": "2:00:18"}
|
32 |
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{"current_steps": 32, "total_steps": 1235, "loss": 1.2878, "lr": 1.0322580645161291e-05, "epoch": 0.12955465587044535, "percentage": 2.59, "elapsed_time": "0:03:11", "remaining_time": "2:00:06"}
|
33 |
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{"current_steps": 33, "total_steps": 1235, "loss": 1.2187, "lr": 1.0645161290322582e-05, "epoch": 0.13360323886639677, "percentage": 2.67, "elapsed_time": "0:03:17", "remaining_time": "1:59:45"}
|
34 |
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{"current_steps": 34, "total_steps": 1235, "loss": 1.2769, "lr": 1.096774193548387e-05, "epoch": 0.13765182186234817, "percentage": 2.75, "elapsed_time": "0:03:22", "remaining_time": "1:59:20"}
|
35 |
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{"current_steps": 35, "total_steps": 1235, "loss": 1.2363, "lr": 1.1290322580645164e-05, "epoch": 0.1417004048582996, "percentage": 2.83, "elapsed_time": "0:03:28", "remaining_time": "1:58:53"}
|
36 |
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{"current_steps": 36, "total_steps": 1235, "loss": 1.2122, "lr": 1.1612903225806453e-05, "epoch": 0.145748987854251, "percentage": 2.91, "elapsed_time": "0:03:33", "remaining_time": "1:58:28"}
|
37 |
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{"current_steps": 37, "total_steps": 1235, "loss": 1.2135, "lr": 1.1935483870967743e-05, "epoch": 0.14979757085020243, "percentage": 3.0, "elapsed_time": "0:03:38", "remaining_time": "1:58:04"}
|
38 |
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{"current_steps": 38, "total_steps": 1235, "loss": 1.2121, "lr": 1.2258064516129034e-05, "epoch": 0.15384615384615385, "percentage": 3.08, "elapsed_time": "0:03:44", "remaining_time": "1:57:41"}
|
39 |
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{"current_steps": 39, "total_steps": 1235, "loss": 1.2093, "lr": 1.2580645161290324e-05, "epoch": 0.15789473684210525, "percentage": 3.16, "elapsed_time": "0:03:49", "remaining_time": "1:57:18"}
|
40 |
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{"current_steps": 40, "total_steps": 1235, "loss": 1.1958, "lr": 1.2903225806451613e-05, "epoch": 0.16194331983805668, "percentage": 3.24, "elapsed_time": "0:03:54", "remaining_time": "1:56:58"}
|
41 |
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{"current_steps": 41, "total_steps": 1235, "loss": 1.2017, "lr": 1.3225806451612903e-05, "epoch": 0.1659919028340081, "percentage": 3.32, "elapsed_time": "0:04:00", "remaining_time": "1:56:41"}
|
42 |
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{"current_steps": 42, "total_steps": 1235, "loss": 1.1979, "lr": 1.3548387096774194e-05, "epoch": 0.1700404858299595, "percentage": 3.4, "elapsed_time": "0:04:06", "remaining_time": "1:56:35"}
|
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vocab.json
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