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HikasaHana

BERT-WMM

HikasaHana/BERT-WMM

BERT-WMM is a text classification model from HikasaHana. Use it when you need a label for a piece of text. It is set up for transformers.

使用东方财富股吧情感数据集微调的BERT-wmm-ext模型。 在测试集上只有约76%的准确率,这个准确率主要还是建立在数据集标注质量的基础上,调参反倒不会有太大优化……就这样吧。

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At a glance

Task
Text Classification
Library
transformers
Model type
bert
Access
Public
Created
Apr 17, 2024
Updated
Apr 22, 2024
SHA
ad6f5418

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Task
Text Classification
Library
transformers
Type
bert
Languages
zh
Created
Apr 17, 2024
Updated
Apr 22, 2024