LovenOO/my_awesome_model

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

• Train Loss: 0.2264
• Validation Loss: 0.4221
• Train Accuracy: 0.8707
• Epoch: 5

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': 2e-05, 'decay_steps': 2890, '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-08, 'amsgrad': False}
• training_precision: float32

Training results

Train Loss	Validation Loss	Train Accuracy	Epoch
1.1991	0.5737	0.8610	0
0.5278	0.4642	0.8766	1
0.3837	0.4401	0.8785	2
0.3012	0.4315	0.8737	3
0.2506	0.4221	0.8707	4
0.2264	0.4221	0.8707	5

Framework versions

• Transformers 4.24.0
• TensorFlow 2.13.0
• Datasets 2.14.2
• Tokenizers 0.11.0