IGustavsen/t5-small-finetuned-english-wikilingua
This model is a fine-tuned version of t5-small, ran 2 epochs on the WikiLingua dataset. It achieves the following results on the evaluation set:
- Train Loss: 2.1459
- Validation Loss: 2.0552
- Train Rouge1: 30.7998
- Train Rouge2: 12.1882
- Train Rougel: 26.4570
- Train Rougelsum: 29.9915
- Train Gen Len: 18.0
- Epoch: 1
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 1e-04, '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 | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.1459 | 2.0552 | 30.7998 | 12.1882 | 26.4570 | 29.9915 | 18.0 | 0 |
Framework versions
- Transformers 4.29.1
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3