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bert-base-uncased

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Could it be that the weights of BERT base, or rather this model, are not suitable for the Yelp dataset (with lengths ranging from 180 to 400, and 5 classifications)? Currently, in my fine-tuning for sentiment analysis with 5 classifications, the accuracy can reach a maximum of only 60%. Has anyone else encountered such a situation?