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foxxy-hm/mt5-small-finetuned-wikilingua-en-vi
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.0995
- Validation Loss: 1.7594
- 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': 'AdamWeightDecay', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5.6e-05, 'decay_steps': 16208, '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, 'weight_decay_rate': 0.01}
- training_precision: mixed_float16
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 4.4772 | 2.1093 | 0 |
| 2.8808 | 1.9781 | 1 |
| 2.5121 | 1.8920 | 2 |
| 2.3034 | 1.8253 | 3 |
| 2.1755 | 1.7736 | 4 |
| 2.1104 | 1.7594 | 5 |
| 2.0990 | 1.7594 | 6 |
| 2.0995 | 1.7594 | 7 |
Framework versions
- Transformers 4.27.2
- TensorFlow 2.12.0
- Datasets 2.11.0
- Tokenizers 0.13.3
