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pijarcandra22/IndoBali_Model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.6963
- Validation Loss: 3.3364
- 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 4.8212 | 4.4730 | 0 |
| 4.5990 | 4.1817 | 1 |
| 4.3599 | 4.0064 | 2 |
| 4.2074 | 3.8822 | 3 |
| 4.1465 | 3.7819 | 4 |
| 4.0885 | 3.6950 | 5 |
| 3.9791 | 3.6091 | 6 |
| 3.8676 | 3.5159 | 7 |
| 3.7879 | 3.4260 | 8 |
| 3.6963 | 3.3364 | 9 |
Framework versions
- Transformers 4.33.0
- TensorFlow 2.12.0
- Datasets 2.14.4
- Tokenizers 0.13.3
