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bearbearchu/mt5-small-finetuned-wikipedia-summarization-jp-t5-limitations
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: 0.3041
- Validation Loss: 0.0256
- 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': 15304, '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 |
|---|---|---|
| 8.5044 | 3.2504 | 0 |
| 3.3978 | 0.6390 | 1 |
| 1.8383 | 0.2519 | 2 |
| 1.0524 | 0.0977 | 3 |
| 0.6709 | 0.0507 | 4 |
| 0.4763 | 0.0347 | 5 |
| 0.3596 | 0.0275 | 6 |
| 0.3041 | 0.0256 | 7 |
Framework versions
- Transformers 4.21.1
- TensorFlow 2.9.1
- Datasets 2.4.0
- Tokenizers 0.12.1
