Rocketknight1/bert-base-cased-finetuned-swag

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

• Train Loss: 0.8709
• Train Accuracy: 0.6465
• Validation Loss: 0.6167
• Validation Accuracy: 0.7590
• 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 9192, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Train Accuracy	Validation Loss	Validation Accuracy	Epoch
0.8709	0.6465	0.6167	0.7590	0

Framework versions

• Transformers 4.21.0.dev0
• TensorFlow 2.9.1
• Datasets 2.3.3.dev0
• Tokenizers 0.11.0