TamerAbdelaziz/distilbert-base-uncased-finetuned-IMDB_BERT_10

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: 0.0067
• Validation Loss: 0.3379
• Train Accuracy: 0.9354
• Epoch: 9

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': 2e-05, 'decay_steps': 12500, '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	Validation Loss	Train Accuracy	Epoch
0.2338	0.1838	0.9304	0
0.1379	0.1821	0.931	1
0.0748	0.1896	0.9334	2
0.0427	0.2671	0.9318	3
0.0260	0.2814	0.933	4
0.0198	0.3015	0.9338	5
0.0134	0.3239	0.9342	6
0.0104	0.3797	0.9268	7
0.0088	0.3347	0.9338	8
0.0067	0.3379	0.9354	9

Framework versions

• Transformers 4.33.2
• TensorFlow 2.8.1
• Datasets 2.14.5
• Tokenizers 0.13.3