Joshua-Segal/CS4120final

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

• Train Loss: 2.7974
• Train Accuracy: 0.0
• Validation Loss: 17.1887
• Validation Accuracy: 0.0
• Epoch: 0

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:

• optimizer: {'name': 'Adam', 'learning_rate': 0.001, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
2.7974	0.0	17.1887	0.0	0

Framework versions

• Transformers 4.32.1
• TensorFlow 2.12.0
• Datasets 2.12.0
• Tokenizers 0.13.2