distilbert-base-uncased-finetuned-reviews

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

• Loss: 0.3080
• Accuracy: 0.9254
• F1: 0.9254

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.2712	1.0	1250	0.2361	0.913	0.9129
0.1518	2.0	2500	0.2550	0.925	0.9250
0.0853	3.0	3750	0.3080	0.9254	0.9254

Framework versions

• Transformers 4.33.1
• Pytorch 2.0.0
• Datasets 2.14.5
• Tokenizers 0.13.3