finetune-bert-base-cased

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

• Loss: 1.5190
• Accuracy: 0.24

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	13	1.6091	0.18
No log	2.0	26	1.5373	0.27
No log	3.0	39	1.5190	0.24

Framework versions

• Transformers 4.26.1
• Pytorch 1.12.1
• Datasets 2.6.1
• Tokenizers 0.11.0