neginr commited on
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b47aacc
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Training in progress, epoch 1

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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,
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|>",
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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,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,247 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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29
+ {"current_steps": 29, "total_steps": 1200, "loss": 0.742, "lr": 9.666666666666667e-06, "epoch": 0.12083333333333333, "percentage": 2.42, "elapsed_time": "0:11:19", "remaining_time": "7:37:01"}
30
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31
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32
+ {"current_steps": 32, "total_steps": 1200, "loss": 0.7302, "lr": 1.0666666666666667e-05, "epoch": 0.13333333333333333, "percentage": 2.67, "elapsed_time": "0:12:29", "remaining_time": "7:35:39"}
33
+ {"current_steps": 33, "total_steps": 1200, "loss": 0.7265, "lr": 1.1000000000000001e-05, "epoch": 0.1375, "percentage": 2.75, "elapsed_time": "0:12:52", "remaining_time": "7:35:16"}
34
+ {"current_steps": 34, "total_steps": 1200, "loss": 0.7121, "lr": 1.1333333333333334e-05, "epoch": 0.14166666666666666, "percentage": 2.83, "elapsed_time": "0:13:16", "remaining_time": "7:35:11"}
35
+ {"current_steps": 35, "total_steps": 1200, "loss": 0.722, "lr": 1.1666666666666668e-05, "epoch": 0.14583333333333334, "percentage": 2.92, "elapsed_time": "0:13:38", "remaining_time": "7:34:06"}
36
+ {"current_steps": 36, "total_steps": 1200, "loss": 0.7071, "lr": 1.2e-05, "epoch": 0.15, "percentage": 3.0, "elapsed_time": "0:14:02", "remaining_time": "7:33:46"}
37
+ {"current_steps": 37, "total_steps": 1200, "loss": 0.7115, "lr": 1.2333333333333334e-05, "epoch": 0.15416666666666667, "percentage": 3.08, "elapsed_time": "0:14:25", "remaining_time": "7:33:23"}
38
+ {"current_steps": 38, "total_steps": 1200, "loss": 0.7029, "lr": 1.2666666666666667e-05, "epoch": 0.15833333333333333, "percentage": 3.17, "elapsed_time": "0:14:48", "remaining_time": "7:32:54"}
39
+ {"current_steps": 39, "total_steps": 1200, "loss": 0.7006, "lr": 1.3000000000000001e-05, "epoch": 0.1625, "percentage": 3.25, "elapsed_time": "0:15:12", "remaining_time": "7:32:32"}
40
+ {"current_steps": 40, "total_steps": 1200, "loss": 0.7006, "lr": 1.3333333333333333e-05, "epoch": 0.16666666666666666, "percentage": 3.33, "elapsed_time": "0:15:35", "remaining_time": "7:32:20"}
41
+ {"current_steps": 41, "total_steps": 1200, "loss": 0.7444, "lr": 1.3666666666666667e-05, "epoch": 0.17083333333333334, "percentage": 3.42, "elapsed_time": "0:15:58", "remaining_time": "7:31:28"}
42
+ {"current_steps": 42, "total_steps": 1200, "loss": 0.681, "lr": 1.4e-05, "epoch": 0.175, "percentage": 3.5, "elapsed_time": "0:16:22", "remaining_time": "7:31:19"}
43
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45
+ {"current_steps": 45, "total_steps": 1200, "loss": 0.6754, "lr": 1.5000000000000002e-05, "epoch": 0.1875, "percentage": 3.75, "elapsed_time": "0:17:31", "remaining_time": "7:29:37"}
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+ {"current_steps": 46, "total_steps": 1200, "loss": 0.6694, "lr": 1.5333333333333334e-05, "epoch": 0.19166666666666668, "percentage": 3.83, "elapsed_time": "0:17:54", "remaining_time": "7:29:08"}
47
+ {"current_steps": 47, "total_steps": 1200, "loss": 0.6691, "lr": 1.5666666666666667e-05, "epoch": 0.19583333333333333, "percentage": 3.92, "elapsed_time": "0:18:16", "remaining_time": "7:28:24"}
48
+ {"current_steps": 48, "total_steps": 1200, "loss": 0.6866, "lr": 1.6000000000000003e-05, "epoch": 0.2, "percentage": 4.0, "elapsed_time": "0:18:39", "remaining_time": "7:27:50"}
49
+ {"current_steps": 49, "total_steps": 1200, "loss": 0.6857, "lr": 1.6333333333333335e-05, "epoch": 0.20416666666666666, "percentage": 4.08, "elapsed_time": "0:19:01", "remaining_time": "7:27:03"}
50
+ {"current_steps": 50, "total_steps": 1200, "loss": 0.6718, "lr": 1.6666666666666667e-05, "epoch": 0.20833333333333334, "percentage": 4.17, "elapsed_time": "0:19:24", "remaining_time": "7:26:16"}
51
+ {"current_steps": 51, "total_steps": 1200, "loss": 0.651, "lr": 1.7e-05, "epoch": 0.2125, "percentage": 4.25, "elapsed_time": "0:19:46", "remaining_time": "7:25:35"}
52
+ {"current_steps": 52, "total_steps": 1200, "loss": 0.6701, "lr": 1.7333333333333336e-05, "epoch": 0.21666666666666667, "percentage": 4.33, "elapsed_time": "0:20:10", "remaining_time": "7:25:14"}
53
+ {"current_steps": 53, "total_steps": 1200, "loss": 0.6612, "lr": 1.7666666666666668e-05, "epoch": 0.22083333333333333, "percentage": 4.42, "elapsed_time": "0:20:33", "remaining_time": "7:24:54"}
54
+ {"current_steps": 54, "total_steps": 1200, "loss": 0.6612, "lr": 1.8e-05, "epoch": 0.225, "percentage": 4.5, "elapsed_time": "0:20:56", "remaining_time": "7:24:21"}
55
+ {"current_steps": 55, "total_steps": 1200, "loss": 0.6698, "lr": 1.8333333333333333e-05, "epoch": 0.22916666666666666, "percentage": 4.58, "elapsed_time": "0:21:19", "remaining_time": "7:24:05"}
56
+ {"current_steps": 56, "total_steps": 1200, "loss": 0.6617, "lr": 1.866666666666667e-05, "epoch": 0.23333333333333334, "percentage": 4.67, "elapsed_time": "0:21:42", "remaining_time": "7:23:25"}
57
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vocab.json ADDED
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