yelp_review_classifier

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

• Loss: 0.7928
• Accuracy: 0.6679

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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.8515	1.0	81250	0.8762	0.6361
0.7617	2.0	162500	0.8086	0.6579
0.7247	3.0	243750	0.7928	0.6679

Framework versions

• Transformers 4.55.3
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.21.4