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 +252 -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
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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 +1,252 @@
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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": 1230, "loss": 1.3207, "lr": 3.2520325203252037e-07, "epoch": 0.004050632911392405, "percentage": 0.08, "elapsed_time": "0:00:49", "remaining_time": "16:43:51"}
|
2 |
+
{"current_steps": 2, "total_steps": 1230, "loss": 1.3329, "lr": 6.504065040650407e-07, "epoch": 0.00810126582278481, "percentage": 0.16, "elapsed_time": "0:01:18", "remaining_time": "13:24:37"}
|
3 |
+
{"current_steps": 3, "total_steps": 1230, "loss": 1.3156, "lr": 9.75609756097561e-07, "epoch": 0.012151898734177215, "percentage": 0.24, "elapsed_time": "0:01:58", "remaining_time": "13:26:58"}
|
4 |
+
{"current_steps": 4, "total_steps": 1230, "loss": 1.3165, "lr": 1.3008130081300815e-06, "epoch": 0.01620253164556962, "percentage": 0.33, "elapsed_time": "0:02:42", "remaining_time": "13:52:33"}
|
5 |
+
{"current_steps": 5, "total_steps": 1230, "loss": 1.3173, "lr": 1.6260162601626018e-06, "epoch": 0.020253164556962026, "percentage": 0.41, "elapsed_time": "0:03:15", "remaining_time": "13:17:24"}
|
6 |
+
{"current_steps": 6, "total_steps": 1230, "loss": 1.315, "lr": 1.951219512195122e-06, "epoch": 0.02430379746835443, "percentage": 0.49, "elapsed_time": "0:03:45", "remaining_time": "12:45:19"}
|
7 |
+
{"current_steps": 7, "total_steps": 1230, "loss": 1.2294, "lr": 2.2764227642276426e-06, "epoch": 0.028354430379746835, "percentage": 0.57, "elapsed_time": "0:04:18", "remaining_time": "12:31:32"}
|
8 |
+
{"current_steps": 8, "total_steps": 1230, "loss": 1.2828, "lr": 2.601626016260163e-06, "epoch": 0.03240506329113924, "percentage": 0.65, "elapsed_time": "0:04:46", "remaining_time": "12:10:38"}
|
9 |
+
{"current_steps": 9, "total_steps": 1230, "loss": 1.1643, "lr": 2.926829268292683e-06, "epoch": 0.03645569620253165, "percentage": 0.73, "elapsed_time": "0:05:29", "remaining_time": "12:24:36"}
|
10 |
+
{"current_steps": 10, "total_steps": 1230, "loss": 1.1788, "lr": 3.2520325203252037e-06, "epoch": 0.04050632911392405, "percentage": 0.81, "elapsed_time": "0:06:09", "remaining_time": "12:30:42"}
|
11 |
+
{"current_steps": 11, "total_steps": 1230, "loss": 1.1824, "lr": 3.577235772357724e-06, "epoch": 0.044556962025316456, "percentage": 0.89, "elapsed_time": "0:06:36", "remaining_time": "12:12:41"}
|
12 |
+
{"current_steps": 12, "total_steps": 1230, "loss": 1.1134, "lr": 3.902439024390244e-06, "epoch": 0.04860759493670886, "percentage": 0.98, "elapsed_time": "0:07:11", "remaining_time": "12:09:31"}
|
13 |
+
{"current_steps": 13, "total_steps": 1230, "loss": 1.1502, "lr": 4.227642276422765e-06, "epoch": 0.052658227848101265, "percentage": 1.06, "elapsed_time": "0:07:44", "remaining_time": "12:04:48"}
|
14 |
+
{"current_steps": 14, "total_steps": 1230, "loss": 1.1431, "lr": 4.552845528455285e-06, "epoch": 0.05670886075949367, "percentage": 1.14, "elapsed_time": "0:08:11", "remaining_time": "11:50:55"}
|
15 |
+
{"current_steps": 15, "total_steps": 1230, "loss": 1.089, "lr": 4.8780487804878055e-06, "epoch": 0.060759493670886074, "percentage": 1.22, "elapsed_time": "0:08:55", "remaining_time": "12:02:59"}
|
16 |
+
{"current_steps": 16, "total_steps": 1230, "loss": 1.0792, "lr": 5.203252032520326e-06, "epoch": 0.06481012658227848, "percentage": 1.3, "elapsed_time": "0:09:24", "remaining_time": "11:53:45"}
|
17 |
+
{"current_steps": 17, "total_steps": 1230, "loss": 1.0436, "lr": 5.528455284552846e-06, "epoch": 0.06886075949367089, "percentage": 1.38, "elapsed_time": "0:09:59", "remaining_time": "11:52:57"}
|
18 |
+
{"current_steps": 18, "total_steps": 1230, "loss": 1.0727, "lr": 5.853658536585366e-06, "epoch": 0.0729113924050633, "percentage": 1.46, "elapsed_time": "0:10:30", "remaining_time": "11:47:45"}
|
19 |
+
{"current_steps": 19, "total_steps": 1230, "loss": 1.0238, "lr": 6.178861788617887e-06, "epoch": 0.0769620253164557, "percentage": 1.54, "elapsed_time": "0:11:06", "remaining_time": "11:47:44"}
|
20 |
+
{"current_steps": 20, "total_steps": 1230, "loss": 1.0246, "lr": 6.504065040650407e-06, "epoch": 0.0810126582278481, "percentage": 1.63, "elapsed_time": "0:11:37", "remaining_time": "11:43:45"}
|
21 |
+
{"current_steps": 21, "total_steps": 1230, "loss": 1.0137, "lr": 6.829268292682928e-06, "epoch": 0.08506329113924051, "percentage": 1.71, "elapsed_time": "0:12:14", "remaining_time": "11:44:22"}
|
22 |
+
{"current_steps": 22, "total_steps": 1230, "loss": 0.9764, "lr": 7.154471544715448e-06, "epoch": 0.08911392405063291, "percentage": 1.79, "elapsed_time": "0:12:41", "remaining_time": "11:36:27"}
|
23 |
+
{"current_steps": 23, "total_steps": 1230, "loss": 0.9851, "lr": 7.4796747967479676e-06, "epoch": 0.09316455696202532, "percentage": 1.87, "elapsed_time": "0:13:11", "remaining_time": "11:32:18"}
|
24 |
+
{"current_steps": 24, "total_steps": 1230, "loss": 0.9761, "lr": 7.804878048780489e-06, "epoch": 0.09721518987341772, "percentage": 1.95, "elapsed_time": "0:13:45", "remaining_time": "11:31:08"}
|
25 |
+
{"current_steps": 25, "total_steps": 1230, "loss": 0.9657, "lr": 8.130081300813009e-06, "epoch": 0.10126582278481013, "percentage": 2.03, "elapsed_time": "0:14:14", "remaining_time": "11:26:34"}
|
26 |
+
{"current_steps": 26, "total_steps": 1230, "loss": 0.9723, "lr": 8.45528455284553e-06, "epoch": 0.10531645569620253, "percentage": 2.11, "elapsed_time": "0:14:47", "remaining_time": "11:24:35"}
|
27 |
+
{"current_steps": 27, "total_steps": 1230, "loss": 0.9681, "lr": 8.78048780487805e-06, "epoch": 0.10936708860759493, "percentage": 2.2, "elapsed_time": "0:15:27", "remaining_time": "11:28:26"}
|
28 |
+
{"current_steps": 28, "total_steps": 1230, "loss": 0.9796, "lr": 9.10569105691057e-06, "epoch": 0.11341772151898734, "percentage": 2.28, "elapsed_time": "0:16:00", "remaining_time": "11:27:23"}
|
29 |
+
{"current_steps": 29, "total_steps": 1230, "loss": 0.9607, "lr": 9.43089430894309e-06, "epoch": 0.11746835443037974, "percentage": 2.36, "elapsed_time": "0:16:31", "remaining_time": "11:24:27"}
|
30 |
+
{"current_steps": 30, "total_steps": 1230, "loss": 0.9596, "lr": 9.756097560975611e-06, "epoch": 0.12151898734177215, "percentage": 2.44, "elapsed_time": "0:17:02", "remaining_time": "11:21:32"}
|
31 |
+
{"current_steps": 31, "total_steps": 1230, "loss": 0.9408, "lr": 1.008130081300813e-05, "epoch": 0.12556962025316457, "percentage": 2.52, "elapsed_time": "0:17:36", "remaining_time": "11:20:46"}
|
32 |
+
{"current_steps": 32, "total_steps": 1230, "loss": 0.9314, "lr": 1.0406504065040652e-05, "epoch": 0.12962025316455697, "percentage": 2.6, "elapsed_time": "0:18:16", "remaining_time": "11:23:51"}
|
33 |
+
{"current_steps": 33, "total_steps": 1230, "loss": 0.9399, "lr": 1.0731707317073172e-05, "epoch": 0.13367088607594937, "percentage": 2.68, "elapsed_time": "0:18:52", "remaining_time": "11:24:38"}
|
34 |
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{"current_steps": 34, "total_steps": 1230, "loss": 0.9518, "lr": 1.1056910569105692e-05, "epoch": 0.13772151898734178, "percentage": 2.76, "elapsed_time": "0:19:25", "remaining_time": "11:23:13"}
|
35 |
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{"current_steps": 35, "total_steps": 1230, "loss": 0.9557, "lr": 1.1382113821138213e-05, "epoch": 0.14177215189873418, "percentage": 2.85, "elapsed_time": "0:19:53", "remaining_time": "11:19:07"}
|
36 |
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{"current_steps": 36, "total_steps": 1230, "loss": 0.9216, "lr": 1.1707317073170731e-05, "epoch": 0.1458227848101266, "percentage": 2.93, "elapsed_time": "0:20:27", "remaining_time": "11:18:22"}
|
37 |
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{"current_steps": 37, "total_steps": 1230, "loss": 0.9514, "lr": 1.2032520325203254e-05, "epoch": 0.149873417721519, "percentage": 3.01, "elapsed_time": "0:21:02", "remaining_time": "11:18:27"}
|
38 |
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{"current_steps": 38, "total_steps": 1230, "loss": 0.9322, "lr": 1.2357723577235774e-05, "epoch": 0.1539240506329114, "percentage": 3.09, "elapsed_time": "0:21:37", "remaining_time": "11:18:05"}
|
39 |
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{"current_steps": 39, "total_steps": 1230, "loss": 0.9354, "lr": 1.2682926829268294e-05, "epoch": 0.1579746835443038, "percentage": 3.17, "elapsed_time": "0:22:12", "remaining_time": "11:18:11"}
|
40 |
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{"current_steps": 40, "total_steps": 1230, "loss": 0.9217, "lr": 1.3008130081300815e-05, "epoch": 0.1620253164556962, "percentage": 3.25, "elapsed_time": "0:22:46", "remaining_time": "11:17:41"}
|
41 |
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{"current_steps": 41, "total_steps": 1230, "loss": 0.9336, "lr": 1.3333333333333333e-05, "epoch": 0.1660759493670886, "percentage": 3.33, "elapsed_time": "0:23:19", "remaining_time": "11:16:11"}
|
42 |
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{"current_steps": 42, "total_steps": 1230, "loss": 0.9116, "lr": 1.3658536585365855e-05, "epoch": 0.17012658227848101, "percentage": 3.41, "elapsed_time": "0:23:53", "remaining_time": "11:15:36"}
|
43 |
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{"current_steps": 43, "total_steps": 1230, "loss": 0.9093, "lr": 1.3983739837398376e-05, "epoch": 0.17417721518987342, "percentage": 3.5, "elapsed_time": "0:24:29", "remaining_time": "11:16:09"}
|
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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 7160
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vocab.json
ADDED
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