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如题,在few-shot代码下使用 bart-large-chinese将 freeze_plm 设置成 True 训练45 epoch。F1 Score 才达到 48.5%
然后将 freeze_plm 设置成 False 训练 45 epoch。F1 Score 达到76%
使用的是全量的 cluener 训练集数量为 1w+。 感觉训练出来的指标好低呀,请问可以帮忙看下么?
The text was updated successfully, but these errors were encountered:
LightNER主要适用场景为少样本场景,另外LightNER在中文场景下的性能存疑,主要是因为生成式的方式在中文场景下寻找实体边界的能力较弱。您可以尝试调一下参数,例如learning rate, batch size等,参考issue #127
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如题,在few-shot代码下使用 bart-large-chinese将 freeze_plm 设置成 True 训练45 epoch。F1 Score 才达到 48.5%
然后将 freeze_plm 设置成 False 训练 45 epoch。F1 Score 达到76%
使用的是全量的 cluener 训练集数量为 1w+。 感觉训练出来的指标好低呀,请问可以帮忙看下么?
The text was updated successfully, but these errors were encountered: