yelp-dataset-finetuning-bert

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

• Loss: 0.9648
• Accuracy: 0.5735

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: 10
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• training_steps: 300

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.0667	0.1	100	1.1555	0.5195
1.0891	0.2	200	0.9845	0.5625
1.0064	0.3	300	0.9648	0.5735

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.0
• Datasets 3.0.0
• Tokenizers 0.19.1