sedrickkeh commited on
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cff632f
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Training in progress, epoch 1

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+ },
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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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+ "<|object_ref_end|>",
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+ "<|box_start|>",
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+ "<|box_end|>",
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+ "<|quad_start|>",
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+ "<|quad_end|>",
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+ "<|vision_start|>",
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+ "<|vision_end|>",
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+ "<|vision_pad|>",
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+ "<|image_pad|>",
195
+ "<|video_pad|>"
196
+ ],
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+ "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",
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+ "model_max_length": 131072,
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+ "pad_token": "<|endoftext|>",
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+ "padding_side": "right",
205
+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
207
+ "unk_token": null
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+ }
trainer_log.jsonl ADDED
@@ -0,0 +1,502 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {"current_steps": 1, "total_steps": 1500, "loss": 1.2436, "lr": 6.666666666666668e-08, "epoch": 0.002, "percentage": 0.07, "elapsed_time": "0:01:02", "remaining_time": "1 day, 1:58:26"}
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5
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+ {"current_steps": 16, "total_steps": 1500, "loss": 1.2221, "lr": 1.066666666666667e-06, "epoch": 0.032, "percentage": 1.07, "elapsed_time": "0:15:28", "remaining_time": "23:55:03"}
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+ {"current_steps": 17, "total_steps": 1500, "loss": 1.139, "lr": 1.1333333333333334e-06, "epoch": 0.034, "percentage": 1.13, "elapsed_time": "0:16:23", "remaining_time": "23:49:55"}
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+ {"current_steps": 18, "total_steps": 1500, "loss": 1.1654, "lr": 1.2000000000000002e-06, "epoch": 0.036, "percentage": 1.2, "elapsed_time": "0:17:10", "remaining_time": "23:34:13"}
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21
+ {"current_steps": 21, "total_steps": 1500, "loss": 1.1342, "lr": 1.4000000000000001e-06, "epoch": 0.042, "percentage": 1.4, "elapsed_time": "0:19:47", "remaining_time": "23:14:02"}
22
+ {"current_steps": 22, "total_steps": 1500, "loss": 1.159, "lr": 1.4666666666666669e-06, "epoch": 0.044, "percentage": 1.47, "elapsed_time": "0:20:43", "remaining_time": "23:12:35"}
23
+ {"current_steps": 23, "total_steps": 1500, "loss": 1.1454, "lr": 1.5333333333333334e-06, "epoch": 0.046, "percentage": 1.53, "elapsed_time": "0:21:37", "remaining_time": "23:08:54"}
24
+ {"current_steps": 24, "total_steps": 1500, "loss": 1.1222, "lr": 1.6000000000000001e-06, "epoch": 0.048, "percentage": 1.6, "elapsed_time": "0:22:33", "remaining_time": "23:06:51"}
25
+ {"current_steps": 25, "total_steps": 1500, "loss": 1.123, "lr": 1.6666666666666667e-06, "epoch": 0.05, "percentage": 1.67, "elapsed_time": "0:23:29", "remaining_time": "23:06:15"}
26
+ {"current_steps": 26, "total_steps": 1500, "loss": 1.1258, "lr": 1.7333333333333336e-06, "epoch": 0.052, "percentage": 1.73, "elapsed_time": "0:24:26", "remaining_time": "23:05:55"}
27
+ {"current_steps": 27, "total_steps": 1500, "loss": 1.0751, "lr": 1.8000000000000001e-06, "epoch": 0.054, "percentage": 1.8, "elapsed_time": "0:25:08", "remaining_time": "22:51:54"}
28
+ {"current_steps": 28, "total_steps": 1500, "loss": 1.0648, "lr": 1.8666666666666669e-06, "epoch": 0.056, "percentage": 1.87, "elapsed_time": "0:26:02", "remaining_time": "22:49:25"}
29
+ {"current_steps": 29, "total_steps": 1500, "loss": 1.0898, "lr": 1.9333333333333336e-06, "epoch": 0.058, "percentage": 1.93, "elapsed_time": "0:26:58", "remaining_time": "22:48:28"}
30
+ {"current_steps": 30, "total_steps": 1500, "loss": 1.0935, "lr": 2.0000000000000003e-06, "epoch": 0.06, "percentage": 2.0, "elapsed_time": "0:28:02", "remaining_time": "22:54:10"}
31
+ {"current_steps": 31, "total_steps": 1500, "loss": 1.0833, "lr": 2.0666666666666666e-06, "epoch": 0.062, "percentage": 2.07, "elapsed_time": "0:28:50", "remaining_time": "22:46:37"}
32
+ {"current_steps": 32, "total_steps": 1500, "loss": 1.0441, "lr": 2.133333333333334e-06, "epoch": 0.064, "percentage": 2.13, "elapsed_time": "0:29:51", "remaining_time": "22:50:06"}
33
+ {"current_steps": 33, "total_steps": 1500, "loss": 1.0262, "lr": 2.2e-06, "epoch": 0.066, "percentage": 2.2, "elapsed_time": "0:30:44", "remaining_time": "22:46:57"}
34
+ {"current_steps": 34, "total_steps": 1500, "loss": 1.0388, "lr": 2.266666666666667e-06, "epoch": 0.068, "percentage": 2.27, "elapsed_time": "0:31:37", "remaining_time": "22:43:42"}
35
+ {"current_steps": 35, "total_steps": 1500, "loss": 1.037, "lr": 2.3333333333333336e-06, "epoch": 0.07, "percentage": 2.33, "elapsed_time": "0:32:27", "remaining_time": "22:38:19"}
36
+ {"current_steps": 36, "total_steps": 1500, "loss": 1.0476, "lr": 2.4000000000000003e-06, "epoch": 0.072, "percentage": 2.4, "elapsed_time": "0:33:26", "remaining_time": "22:39:57"}
37
+ {"current_steps": 37, "total_steps": 1500, "loss": 1.0496, "lr": 2.466666666666667e-06, "epoch": 0.074, "percentage": 2.47, "elapsed_time": "0:34:14", "remaining_time": "22:34:11"}
38
+ {"current_steps": 38, "total_steps": 1500, "loss": 1.0307, "lr": 2.5333333333333338e-06, "epoch": 0.076, "percentage": 2.53, "elapsed_time": "0:35:04", "remaining_time": "22:29:40"}
39
+ {"current_steps": 39, "total_steps": 1500, "loss": 1.0279, "lr": 2.6e-06, "epoch": 0.078, "percentage": 2.6, "elapsed_time": "0:35:58", "remaining_time": "22:27:25"}
40
+ {"current_steps": 40, "total_steps": 1500, "loss": 1.0201, "lr": 2.666666666666667e-06, "epoch": 0.08, "percentage": 2.67, "elapsed_time": "0:37:02", "remaining_time": "22:31:57"}
41
+ {"current_steps": 41, "total_steps": 1500, "loss": 1.0028, "lr": 2.7333333333333336e-06, "epoch": 0.082, "percentage": 2.73, "elapsed_time": "0:37:59", "remaining_time": "22:31:57"}
42
+ {"current_steps": 42, "total_steps": 1500, "loss": 1.0085, "lr": 2.8000000000000003e-06, "epoch": 0.084, "percentage": 2.8, "elapsed_time": "0:38:56", "remaining_time": "22:31:59"}
43
+ {"current_steps": 43, "total_steps": 1500, "loss": 1.0024, "lr": 2.866666666666667e-06, "epoch": 0.086, "percentage": 2.87, "elapsed_time": "0:39:52", "remaining_time": "22:31:09"}
44
+ {"current_steps": 44, "total_steps": 1500, "loss": 0.9924, "lr": 2.9333333333333338e-06, "epoch": 0.088, "percentage": 2.93, "elapsed_time": "0:40:38", "remaining_time": "22:25:07"}
45
+ {"current_steps": 45, "total_steps": 1500, "loss": 1.0107, "lr": 3e-06, "epoch": 0.09, "percentage": 3.0, "elapsed_time": "0:41:27", "remaining_time": "22:20:42"}
46
+ {"current_steps": 46, "total_steps": 1500, "loss": 0.9944, "lr": 3.066666666666667e-06, "epoch": 0.092, "percentage": 3.07, "elapsed_time": "0:42:20", "remaining_time": "22:18:08"}
47
+ {"current_steps": 47, "total_steps": 1500, "loss": 0.9756, "lr": 3.133333333333334e-06, "epoch": 0.094, "percentage": 3.13, "elapsed_time": "0:43:15", "remaining_time": "22:17:29"}
48
+ {"current_steps": 48, "total_steps": 1500, "loss": 0.9564, "lr": 3.2000000000000003e-06, "epoch": 0.096, "percentage": 3.2, "elapsed_time": "0:44:13", "remaining_time": "22:17:39"}
49
+ {"current_steps": 49, "total_steps": 1500, "loss": 0.9787, "lr": 3.266666666666667e-06, "epoch": 0.098, "percentage": 3.27, "elapsed_time": "0:45:06", "remaining_time": "22:15:59"}
50
+ {"current_steps": 50, "total_steps": 1500, "loss": 0.9744, "lr": 3.3333333333333333e-06, "epoch": 0.1, "percentage": 3.33, "elapsed_time": "0:46:07", "remaining_time": "22:17:31"}
51
+ {"current_steps": 51, "total_steps": 1500, "loss": 0.9686, "lr": 3.4000000000000005e-06, "epoch": 0.102, "percentage": 3.4, "elapsed_time": "0:47:03", "remaining_time": "22:16:48"}
52
+ {"current_steps": 52, "total_steps": 1500, "loss": 0.9644, "lr": 3.4666666666666672e-06, "epoch": 0.104, "percentage": 3.47, "elapsed_time": "0:47:54", "remaining_time": "22:14:02"}
53
+ {"current_steps": 53, "total_steps": 1500, "loss": 0.9486, "lr": 3.5333333333333335e-06, "epoch": 0.106, "percentage": 3.53, "elapsed_time": "0:48:42", "remaining_time": "22:09:56"}
54
+ {"current_steps": 54, "total_steps": 1500, "loss": 0.9473, "lr": 3.6000000000000003e-06, "epoch": 0.108, "percentage": 3.6, "elapsed_time": "0:49:31", "remaining_time": "22:05:59"}
55
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56
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73
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74
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75
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77
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78
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79
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80
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81
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82
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83
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84
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85
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86
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87
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88
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89
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90
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91
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92
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93
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94
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95
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96
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97
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98
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99
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100
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101
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102
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103
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104
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105
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106
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107
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108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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134
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135
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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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143
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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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151
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152
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