distilbert-cased-reviews-v1

This model is a fine-tuned version of distilbert-base-cased on yyu/amazon-attrprompt dataset. It achieves the following results on the evaluation set:

• Loss: 1.9022
• Accuracy: {'accuracy': 0.7478260869565218}
• F1 Score: {'f1': 0.7350319489971969}

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	F1 Score
0.2514	1.0	1728	1.8422	{'accuracy': 0.7347826086956522}	{'f1': 0.7217427746565059}
0.2709	2.0	3456	1.8755	{'accuracy': 0.7347826086956522}	{'f1': 0.7200496580345588}
0.0912	3.0	5184	1.9022	{'accuracy': 0.7478260869565218}	{'f1': 0.7350319489971969}

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0