arman1o1/yelp_review_classifier

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yelpreviewclassifier

This model is a fine-tuned version of google-bert/bert-base-cased on Yelp/yelp_review_full dataset. It achieves the following results on the evaluation set:

• —Loss: 0.7121
• —Accuracy: 0.6864

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 5e-05
• —trainbatchsize: 64
• —evalbatchsize: 64
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 1
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.55.4
• —Pytorch 2.7.0+gitf717b2a
• —Datasets 3.6.0
• —Tokenizers 0.21.4