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softmax和crf性能差距很大，参数一致，请教如何看原因调效果？ #92

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northfun opened this issue Dec 14, 2022 · 0 comments

northfun commented Dec 14, 2022

epoch: 10
train_batch_size: 8
evaluation_batch_size: 16
learning_rate: 3e-5

预训练模型：bert_base_chinese

自己的中文数据集

bert+softmax: acc: 0.0729 - recall: 0.4249 - f1: 0.1245 - loss: 1.0244

bert+crf: acc: 0.4268 - recall: 0.5729 - f1: 0.4892 - loss: 34.9675

在google bert上跑 accuracy: 85.46%; precision: 36.28%; recall: 48.35%; FB1: 41.45

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