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alk/mt5-small-finetuned-cnn_dailymail-en-es
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: 1.9490
- Validation Loss: 1.6920
- 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': 287112, '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: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 2.9445 | 1.9068 | 0 |
| 2.2439 | 1.8106 | 1 |
| 2.1301 | 1.7582 | 2 |
| 2.0643 | 1.7378 | 3 |
| 2.0191 | 1.7181 | 4 |
| 1.9870 | 1.7033 | 5 |
| 1.9646 | 1.7015 | 6 |
| 1.9490 | 1.6920 | 7 |
Framework versions
- Transformers 4.18.0
- TensorFlow 2.8.0
- Datasets 2.2.1
- Tokenizers 0.12.1
