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kaisar-barlybay-sse/model
This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.3896
- Validation Loss: 1.3863
- Train Accuracy: 0.2874
- 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': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 5000, '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 |
|---|---|---|---|
| 1.3923 | 1.3863 | 0.2315 | 0 |
| 1.3926 | 1.3863 | 0.2096 | 1 |
| 1.3889 | 1.3863 | 0.2575 | 2 |
| 1.3905 | 1.3863 | 0.2515 | 3 |
| 1.3895 | 1.3863 | 0.2794 | 4 |
| 1.3896 | 1.3863 | 0.2874 | 5 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.10.1
- Datasets 2.11.0
- Tokenizers 0.13.3
