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TEST
T
TEST
Developed by joe5campbell
基於bert-base-uncased微調的模型，訓練準確率93.75%，驗證準確率50%
Downloads 14
Release Time : 3/2/2022
Model Overview
該模型是基於bert-base-uncased進行微調的版本，主要用於文本分類任務。
Model Features
高訓練準確率
在訓練集上達到93.75%的準確率
基於BERT架構
使用bert-base-uncased作為基礎模型進行微調
Model Capabilities
文本分類
自然語言理解
Use Cases
文本分析
情感分析
可用於分析文本的情感傾向
主題分類
可用於對文本內容進行分類
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