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Boglinger/mt5-small-klex
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: 4.7908
- Validation Loss: 3.2086
- Epoch: 19
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': 2344, '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 |
|---|---|---|
| 10.4780 | 4.4037 | 0 |
| 6.5474 | 3.8111 | 1 |
| 5.7133 | 3.5425 | 2 |
| 5.3385 | 3.3847 | 3 |
| 5.0827 | 3.3011 | 4 |
| 4.9326 | 3.2479 | 5 |
| 4.8377 | 3.2185 | 6 |
| 4.7692 | 3.2086 | 7 |
| 4.7478 | 3.2086 | 8 |
| 4.7534 | 3.2086 | 9 |
| 4.7665 | 3.2086 | 10 |
| 4.7779 | 3.2086 | 11 |
| 4.7689 | 3.2086 | 12 |
| 4.7838 | 3.2086 | 13 |
| 4.7881 | 3.2086 | 14 |
| 4.7869 | 3.2086 | 15 |
| 4.7612 | 3.2086 | 16 |
| 4.7667 | 3.2086 | 17 |
| 4.7581 | 3.2086 | 18 |
| 4.7908 | 3.2086 | 19 |
Framework versions
- Transformers 4.19.2
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
