bert-fine-tuned-cola

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

• Train Loss: 0.2620
• Validation Loss: 0.4343
• Epoch: 1

Model description

Text-classification model that identifies whether or not text is grammatically correct.

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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
• training_precision: float32

Training results

Train Loss	Validation Loss	Epoch
0.4621	0.3909	0
0.2620	0.4343	1

Framework versions

• Transformers 4.30.2
• TensorFlow 2.12.0
• Datasets 2.13.0
• Tokenizers 0.13.3