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pedramyamini/distilbert-base-multilingual-cased-finetuned-mobile-banks-cafebazaar2022-09-12-08-14-58
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: 0.4986
- Validation Loss: 0.7589
- Epoch: 7
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': 1e-05, 'decay_steps': 21392, '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 |
|---|---|---|
| 0.7544 | 0.7034 | 0 |
| 0.6815 | 0.6905 | 1 |
| 0.6463 | 0.6960 | 2 |
| 0.6135 | 0.6896 | 3 |
| 0.5764 | 0.7041 | 4 |
| 0.5447 | 0.7340 | 5 |
| 0.5170 | 0.7562 | 6 |
| 0.4986 | 0.7589 | 7 |
Framework versions
- Transformers 4.21.3
- TensorFlow 2.8.2
- Datasets 2.4.0
- Tokenizers 0.12.1
