sedrickkeh commited on
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c3b3c2b
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Training in progress, epoch 1

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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ "<|im_end|>",
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+ "<|object_ref_start|>",
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+ "<|box_end|>",
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+ "<|quad_start|>",
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+ "<|vision_end|>",
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+ "<|vision_pad|>",
194
+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
197
+ "bos_token": null,
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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|>",
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+ "errors": "replace",
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "padding_side": "right",
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+ "split_special_tokens": false,
206
+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
208
+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,252 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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25
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26
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27
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28
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29
+ {"current_steps": 29, "total_steps": 750, "loss": 1.0127, "lr": 3.866666666666667e-06, "epoch": 0.116, "percentage": 3.87, "elapsed_time": "0:27:41", "remaining_time": "11:28:16"}
30
+ {"current_steps": 30, "total_steps": 750, "loss": 1.0196, "lr": 4.000000000000001e-06, "epoch": 0.12, "percentage": 4.0, "elapsed_time": "0:28:35", "remaining_time": "11:26:16"}
31
+ {"current_steps": 31, "total_steps": 750, "loss": 1.0085, "lr": 4.133333333333333e-06, "epoch": 0.124, "percentage": 4.13, "elapsed_time": "0:29:35", "remaining_time": "11:26:27"}
32
+ {"current_steps": 32, "total_steps": 750, "loss": 0.974, "lr": 4.266666666666668e-06, "epoch": 0.128, "percentage": 4.27, "elapsed_time": "0:30:28", "remaining_time": "11:23:47"}
33
+ {"current_steps": 33, "total_steps": 750, "loss": 1.0066, "lr": 4.4e-06, "epoch": 0.132, "percentage": 4.4, "elapsed_time": "0:31:23", "remaining_time": "11:22:10"}
34
+ {"current_steps": 34, "total_steps": 750, "loss": 1.007, "lr": 4.533333333333334e-06, "epoch": 0.136, "percentage": 4.53, "elapsed_time": "0:32:12", "remaining_time": "11:18:23"}
35
+ {"current_steps": 35, "total_steps": 750, "loss": 0.9797, "lr": 4.666666666666667e-06, "epoch": 0.14, "percentage": 4.67, "elapsed_time": "0:33:04", "remaining_time": "11:15:45"}
36
+ {"current_steps": 36, "total_steps": 750, "loss": 0.944, "lr": 4.800000000000001e-06, "epoch": 0.144, "percentage": 4.8, "elapsed_time": "0:34:00", "remaining_time": "11:14:36"}
37
+ {"current_steps": 37, "total_steps": 750, "loss": 0.9859, "lr": 4.933333333333334e-06, "epoch": 0.148, "percentage": 4.93, "elapsed_time": "0:34:53", "remaining_time": "11:12:25"}
38
+ {"current_steps": 38, "total_steps": 750, "loss": 0.9217, "lr": 5.0666666666666676e-06, "epoch": 0.152, "percentage": 5.07, "elapsed_time": "0:35:44", "remaining_time": "11:09:43"}
39
+ {"current_steps": 39, "total_steps": 750, "loss": 1.0214, "lr": 5.2e-06, "epoch": 0.156, "percentage": 5.2, "elapsed_time": "0:36:38", "remaining_time": "11:08:06"}
40
+ {"current_steps": 40, "total_steps": 750, "loss": 0.9908, "lr": 5.333333333333334e-06, "epoch": 0.16, "percentage": 5.33, "elapsed_time": "0:37:34", "remaining_time": "11:06:54"}
41
+ {"current_steps": 41, "total_steps": 750, "loss": 0.9556, "lr": 5.466666666666667e-06, "epoch": 0.164, "percentage": 5.47, "elapsed_time": "0:38:29", "remaining_time": "11:05:40"}
42
+ {"current_steps": 42, "total_steps": 750, "loss": 0.9895, "lr": 5.600000000000001e-06, "epoch": 0.168, "percentage": 5.6, "elapsed_time": "0:39:31", "remaining_time": "11:06:11"}
43
+ {"current_steps": 43, "total_steps": 750, "loss": 0.9436, "lr": 5.733333333333334e-06, "epoch": 0.172, "percentage": 5.73, "elapsed_time": "0:40:20", "remaining_time": "11:03:22"}
44
+ {"current_steps": 44, "total_steps": 750, "loss": 0.9396, "lr": 5.8666666666666675e-06, "epoch": 0.176, "percentage": 5.87, "elapsed_time": "0:41:20", "remaining_time": "11:03:19"}
45
+ {"current_steps": 45, "total_steps": 750, "loss": 0.9163, "lr": 6e-06, "epoch": 0.18, "percentage": 6.0, "elapsed_time": "0:42:12", "remaining_time": "11:01:13"}
46
+ {"current_steps": 46, "total_steps": 750, "loss": 0.9423, "lr": 6.133333333333334e-06, "epoch": 0.184, "percentage": 6.13, "elapsed_time": "0:43:06", "remaining_time": "10:59:39"}
47
+ {"current_steps": 47, "total_steps": 750, "loss": 0.9291, "lr": 6.266666666666668e-06, "epoch": 0.188, "percentage": 6.27, "elapsed_time": "0:43:56", "remaining_time": "10:57:17"}
48
+ {"current_steps": 48, "total_steps": 750, "loss": 0.9342, "lr": 6.4000000000000006e-06, "epoch": 0.192, "percentage": 6.4, "elapsed_time": "0:44:50", "remaining_time": "10:55:41"}
49
+ {"current_steps": 49, "total_steps": 750, "loss": 0.9692, "lr": 6.533333333333334e-06, "epoch": 0.196, "percentage": 6.53, "elapsed_time": "0:45:45", "remaining_time": "10:54:38"}
50
+ {"current_steps": 50, "total_steps": 750, "loss": 0.9217, "lr": 6.666666666666667e-06, "epoch": 0.2, "percentage": 6.67, "elapsed_time": "0:46:40", "remaining_time": "10:53:28"}
51
+ {"current_steps": 51, "total_steps": 750, "loss": 0.9415, "lr": 6.800000000000001e-06, "epoch": 0.204, "percentage": 6.8, "elapsed_time": "0:47:39", "remaining_time": "10:53:17"}
52
+ {"current_steps": 52, "total_steps": 750, "loss": 0.9221, "lr": 6.9333333333333344e-06, "epoch": 0.208, "percentage": 6.93, "elapsed_time": "0:48:40", "remaining_time": "10:53:28"}
53
+ {"current_steps": 53, "total_steps": 750, "loss": 0.9241, "lr": 7.066666666666667e-06, "epoch": 0.212, "percentage": 7.07, "elapsed_time": "0:49:32", "remaining_time": "10:51:26"}
54
+ {"current_steps": 54, "total_steps": 750, "loss": 0.938, "lr": 7.2000000000000005e-06, "epoch": 0.216, "percentage": 7.2, "elapsed_time": "0:50:27", "remaining_time": "10:50:21"}
55
+ {"current_steps": 55, "total_steps": 750, "loss": 0.9446, "lr": 7.333333333333333e-06, "epoch": 0.22, "percentage": 7.33, "elapsed_time": "0:51:20", "remaining_time": "10:48:51"}
56
+ {"current_steps": 56, "total_steps": 750, "loss": 0.9678, "lr": 7.4666666666666675e-06, "epoch": 0.224, "percentage": 7.47, "elapsed_time": "0:52:10", "remaining_time": "10:46:38"}
57
+ {"current_steps": 57, "total_steps": 750, "loss": 0.9881, "lr": 7.600000000000001e-06, "epoch": 0.228, "percentage": 7.6, "elapsed_time": "0:53:02", "remaining_time": "10:44:49"}
58
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vocab.json ADDED
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