sst2_cpu_fine_tune

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<!-- Trained on the glue-sst2 dataset using the bert-base-uncased pre-trained model, the sentiment analysis model was trained on CPU. One epoch took 7 hours and 35 minutes, achieving an accuracy of 92.5% on the validation set. -->

Model Details

[Trained on the glue-sst2 dataset using the bert-base-uncased pre-trained model, the sentiment analysis model was trained on CPU. One epoch took 7 hours and 35 minutes, achieving an accuracy of 92.5% on the validation set]

Model Description

<!-- use glue-sst2 dataset,trained on cpu,1 epoch use. -->

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

• Developed by: [handsomejack]
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Training Details

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