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训练结果评分解释 #103

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qinglongheu opened this issue Aug 4, 2023 · 1 comment
Open

训练结果评分解释 #103

qinglongheu opened this issue Aug 4, 2023 · 1 comment

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@qinglongheu
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+---------+--------+-----------+--------+
| TEST 99 | F1 | Precision | Recall |
+---------+--------+-----------+--------+
| Label | 0.9227 | 0.8951 | 0.9538 |
| Entity | 0.8365 | 0.7930 | 0.8850 |
+---------+--------+-----------+--------+
2023-08-04 12:49:16 - INFO: Best DEV F1: 0.9563
2023-08-04 12:49:16 - INFO: Best TEST F1: 0.8454
你好,我想问一下这个label和entity的评分有什么区别?和一般的ner任务最后的评分有什么不同?

@fanjiaxin23
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@qinglongheu 您好,我没有得到实体结果;它为我打印 0 Entity | 0 | 0 | 0 |。您知道为什么会这样以及我该如何解决它吗?

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