Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- config.json +29 -0
- generation_config.json +14 -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
- train_results.json +8 -0
- trainer_log.jsonl +315 -0
- trainer_state.json +2226 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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added_tokens.json
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all_results.json
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config.json
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generation_config.json
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merges.txt
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model-00001-of-00004.safetensors
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|
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|
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|
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101 |
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|
102 |
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|
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|
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|
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|
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109 |
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|
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|
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115 |
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|
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|
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|
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|
126 |
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|
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|
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|
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133 |
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|
134 |
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136 |
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137 |
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138 |
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|
139 |
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|
140 |
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141 |
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|
142 |
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|
144 |
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|
145 |
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|
146 |
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|
147 |
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|
148 |
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|
149 |
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|
150 |
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|
152 |
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153 |
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|
163 |
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|
164 |
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|
165 |
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|
166 |
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167 |
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|
168 |
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|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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|
181 |
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|
182 |
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|
183 |
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|
184 |
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|
185 |
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|
186 |
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|
187 |
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|
188 |
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|
189 |
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|
190 |
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|
191 |
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|
192 |
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|
193 |
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|
194 |
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|
195 |
+
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|
196 |
+
],
|
197 |
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|
198 |
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"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 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
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|
1 |
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{
|
2 |
+
"epoch": 2.9904153354632586,
|
3 |
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"total_flos": 2.1639009642502554e+17,
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"train_loss": 0.0,
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"train_runtime": 4.8904,
|
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"train_samples_per_second": 6134.512,
|
7 |
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"train_steps_per_second": 63.799
|
8 |
+
}
|
trainer_log.jsonl
ADDED
@@ -0,0 +1,315 @@
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|
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|
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|
1 |
+
{"current_steps": 1, "total_steps": 312, "loss": 1.1731, "lr": 3.125e-07, "epoch": 0.009584664536741214, "percentage": 0.32, "elapsed_time": "0:00:35", "remaining_time": "3:05:14"}
|
2 |
+
{"current_steps": 2, "total_steps": 312, "loss": 1.1405, "lr": 6.25e-07, "epoch": 0.019169329073482427, "percentage": 0.64, "elapsed_time": "0:00:53", "remaining_time": "2:18:27"}
|
3 |
+
{"current_steps": 3, "total_steps": 312, "loss": 1.1727, "lr": 9.375000000000001e-07, "epoch": 0.02875399361022364, "percentage": 0.96, "elapsed_time": "0:01:13", "remaining_time": "2:05:44"}
|
4 |
+
{"current_steps": 4, "total_steps": 312, "loss": 1.1815, "lr": 1.25e-06, "epoch": 0.038338658146964855, "percentage": 1.28, "elapsed_time": "0:01:31", "remaining_time": "1:57:37"}
|
5 |
+
{"current_steps": 5, "total_steps": 312, "loss": 1.1628, "lr": 1.5625e-06, "epoch": 0.04792332268370607, "percentage": 1.6, "elapsed_time": "0:01:51", "remaining_time": "1:53:38"}
|
6 |
+
{"current_steps": 6, "total_steps": 312, "loss": 1.1494, "lr": 1.8750000000000003e-06, "epoch": 0.05750798722044728, "percentage": 1.92, "elapsed_time": "0:02:07", "remaining_time": "1:47:59"}
|
7 |
+
{"current_steps": 7, "total_steps": 312, "loss": 1.0843, "lr": 2.1875000000000002e-06, "epoch": 0.0670926517571885, "percentage": 2.24, "elapsed_time": "0:02:30", "remaining_time": "1:49:20"}
|
8 |
+
{"current_steps": 8, "total_steps": 312, "loss": 1.0911, "lr": 2.5e-06, "epoch": 0.07667731629392971, "percentage": 2.56, "elapsed_time": "0:02:54", "remaining_time": "1:50:18"}
|
9 |
+
{"current_steps": 9, "total_steps": 312, "loss": 1.0107, "lr": 2.8125e-06, "epoch": 0.08626198083067092, "percentage": 2.88, "elapsed_time": "0:03:12", "remaining_time": "1:48:15"}
|
10 |
+
{"current_steps": 10, "total_steps": 312, "loss": 1.0172, "lr": 3.125e-06, "epoch": 0.09584664536741214, "percentage": 3.21, "elapsed_time": "0:03:34", "remaining_time": "1:47:55"}
|
11 |
+
{"current_steps": 11, "total_steps": 312, "loss": 1.0016, "lr": 3.4375e-06, "epoch": 0.10543130990415335, "percentage": 3.53, "elapsed_time": "0:03:58", "remaining_time": "1:48:58"}
|
12 |
+
{"current_steps": 12, "total_steps": 312, "loss": 0.9255, "lr": 3.7500000000000005e-06, "epoch": 0.11501597444089456, "percentage": 3.85, "elapsed_time": "0:04:14", "remaining_time": "1:45:51"}
|
13 |
+
{"current_steps": 13, "total_steps": 312, "loss": 0.9357, "lr": 4.0625000000000005e-06, "epoch": 0.12460063897763578, "percentage": 4.17, "elapsed_time": "0:04:35", "remaining_time": "1:45:25"}
|
14 |
+
{"current_steps": 14, "total_steps": 312, "loss": 0.92, "lr": 4.3750000000000005e-06, "epoch": 0.134185303514377, "percentage": 4.49, "elapsed_time": "0:04:51", "remaining_time": "1:43:30"}
|
15 |
+
{"current_steps": 15, "total_steps": 312, "loss": 0.8932, "lr": 4.6875000000000004e-06, "epoch": 0.14376996805111822, "percentage": 4.81, "elapsed_time": "0:05:09", "remaining_time": "1:42:12"}
|
16 |
+
{"current_steps": 16, "total_steps": 312, "loss": 0.8519, "lr": 5e-06, "epoch": 0.15335463258785942, "percentage": 5.13, "elapsed_time": "0:05:27", "remaining_time": "1:41:03"}
|
17 |
+
{"current_steps": 17, "total_steps": 312, "loss": 0.8305, "lr": 5.3125e-06, "epoch": 0.16293929712460065, "percentage": 5.45, "elapsed_time": "0:05:44", "remaining_time": "1:39:40"}
|
18 |
+
{"current_steps": 18, "total_steps": 312, "loss": 0.7989, "lr": 5.625e-06, "epoch": 0.17252396166134185, "percentage": 5.77, "elapsed_time": "0:06:04", "remaining_time": "1:39:08"}
|
19 |
+
{"current_steps": 19, "total_steps": 312, "loss": 0.7943, "lr": 5.9375e-06, "epoch": 0.18210862619808307, "percentage": 6.09, "elapsed_time": "0:06:23", "remaining_time": "1:38:36"}
|
20 |
+
{"current_steps": 20, "total_steps": 312, "loss": 0.7903, "lr": 6.25e-06, "epoch": 0.19169329073482427, "percentage": 6.41, "elapsed_time": "0:06:44", "remaining_time": "1:38:23"}
|
21 |
+
{"current_steps": 21, "total_steps": 312, "loss": 0.7854, "lr": 6.5625e-06, "epoch": 0.2012779552715655, "percentage": 6.73, "elapsed_time": "0:07:00", "remaining_time": "1:37:12"}
|
22 |
+
{"current_steps": 22, "total_steps": 312, "loss": 0.76, "lr": 6.875e-06, "epoch": 0.2108626198083067, "percentage": 7.05, "elapsed_time": "0:07:18", "remaining_time": "1:36:19"}
|
23 |
+
{"current_steps": 23, "total_steps": 312, "loss": 0.7359, "lr": 7.1875e-06, "epoch": 0.22044728434504793, "percentage": 7.37, "elapsed_time": "0:07:35", "remaining_time": "1:35:19"}
|
24 |
+
{"current_steps": 24, "total_steps": 312, "loss": 0.742, "lr": 7.500000000000001e-06, "epoch": 0.23003194888178913, "percentage": 7.69, "elapsed_time": "0:07:57", "remaining_time": "1:35:34"}
|
25 |
+
{"current_steps": 25, "total_steps": 312, "loss": 0.7395, "lr": 7.8125e-06, "epoch": 0.23961661341853036, "percentage": 8.01, "elapsed_time": "0:08:20", "remaining_time": "1:35:50"}
|
26 |
+
{"current_steps": 26, "total_steps": 312, "loss": 0.7333, "lr": 8.125000000000001e-06, "epoch": 0.24920127795527156, "percentage": 8.33, "elapsed_time": "0:08:43", "remaining_time": "1:35:55"}
|
27 |
+
{"current_steps": 27, "total_steps": 312, "loss": 0.7105, "lr": 8.4375e-06, "epoch": 0.25878594249201275, "percentage": 8.65, "elapsed_time": "0:09:06", "remaining_time": "1:36:09"}
|
28 |
+
{"current_steps": 28, "total_steps": 312, "loss": 0.7197, "lr": 8.750000000000001e-06, "epoch": 0.268370607028754, "percentage": 8.97, "elapsed_time": "0:09:27", "remaining_time": "1:35:52"}
|
29 |
+
{"current_steps": 29, "total_steps": 312, "loss": 0.7333, "lr": 9.0625e-06, "epoch": 0.2779552715654952, "percentage": 9.29, "elapsed_time": "0:09:42", "remaining_time": "1:34:45"}
|
30 |
+
{"current_steps": 30, "total_steps": 312, "loss": 0.7013, "lr": 9.375000000000001e-06, "epoch": 0.28753993610223644, "percentage": 9.62, "elapsed_time": "0:09:58", "remaining_time": "1:33:42"}
|
31 |
+
{"current_steps": 31, "total_steps": 312, "loss": 0.6974, "lr": 9.6875e-06, "epoch": 0.2971246006389776, "percentage": 9.94, "elapsed_time": "0:10:20", "remaining_time": "1:33:44"}
|
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|
trainer_state.json
ADDED
@@ -0,0 +1,2226 @@
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