pedramyamini/distilbert-base-multilingual-cased-finetuned-mobile-banks-cafebazaar2lr-10epochs

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

• Train Loss: 0.2307
• Validation Loss: 1.2090
• 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': 4e-05, 'decay_steps': 26740, '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	Epoch
0.7428	0.7046	0
0.6810	0.6903	1
0.6372	0.6907	2
0.5881	0.6988	3
0.5246	0.7630	4
0.4511	0.8687	5
0.3801	0.9356	6
0.3200	1.0440	7
0.2676	1.1470	8
0.2307	1.2090	9

Framework versions

• Transformers 4.21.3
• TensorFlow 2.8.2
• Datasets 2.4.0
• Tokenizers 0.12.1