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backbone: ckiplab/bert-base-chinese
enable_ort: false
labels:
- "\u5211\u6CD5\u7B2C11\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C10\u689D"
- "\u5211\u6CD5\u7B2C47\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C299\u689D"
- "\u5211\u6CD5\u7B2C41\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C454\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C18\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C273\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C449\u689D"
- "\u5211\u6CD5\u7B2C38\u689D"
- "\u5211\u6CD5\u7B2C51\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C450\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C455\u689D"
- "\u5211\u6CD5\u7B2C10\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C4\u689D"
- "\u5211\u6CD5\u7B2C62\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C11\u689D"
- "\u5211\u6CD5\u7B2C56\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C19\u689D"
- "\u5211\u6CD5\u7B2C55\u689D"
- "\u6BD2\u54C1\u5371\u5BB3\u9632\u5236\u689D\u4F8B\u7B2C17\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C310\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C368\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C369\u689D"
- "\u5211\u4E8B\u8A34\u8A1F\u6CD5\u7B2C364\u689D"
- nan
- (425.0, 1335.0]
- (4.999, 90.0]
- (150.0, 180.0]
- (90.0, 120.0]
- (1335.0, 10950.0]
- (300.0, 425.0]
- (180.0, 210.0]
- (240.0, 300.0]
- (120.0, 150.0]
- (210.0, 240.0]
learning_rate: null
loss_fn: null
lr_scheduler: null
max_length: 512
metrics: null
multi_label: true
num_classes: null
optimizer: Adam