dummy-model

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: 0.0608
• Train Accuracy: 0.9804
• Validation Loss: 0.2496
• Validation Accuracy: 0.9140
• Epoch: 2

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': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 25257, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, '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
0.2262	0.9143	0.2503	0.9094	0
0.1133	0.9622	0.2515	0.9083	1
0.0608	0.9804	0.2496	0.9140	2

Framework versions

• Transformers 4.33.1
• TensorFlow 2.13.0
• Datasets 2.14.5
• Tokenizers 0.13.3