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LucaReggiani/t5-small-nlpfinalprojectFinal-xsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 3.2016
- Validation Loss: 3.0312
- Train Rouge1: 0.2288
- Train Rouge2: 0.0492
- Train Rougel: 0.1822
- Train Rougelsum: 0.1820
- Train Gen Len: 18.54
- Epoch: 6
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': 3e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.1}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 3.8756 | 3.3188 | 0.2061 | 0.0431 | 0.1546 | 0.1552 | 18.73 | 0 |
| 3.5085 | 3.1797 | 0.2136 | 0.0476 | 0.1684 | 0.1689 | 18.15 | 1 |
| 3.3992 | 3.1213 | 0.2087 | 0.0436 | 0.1704 | 0.1708 | 18.15 | 2 |
| 3.3368 | 3.0864 | 0.2237 | 0.0497 | 0.1762 | 0.1767 | 18.45 | 3 |
| 3.2760 | 3.0625 | 0.2301 | 0.0509 | 0.1794 | 0.1794 | 18.48 | 4 |
| 3.2278 | 3.0434 | 0.2254 | 0.0476 | 0.1814 | 0.1816 | 18.39 | 5 |
| 3.2016 | 3.0312 | 0.2288 | 0.0492 | 0.1822 | 0.1820 | 18.54 | 6 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.1
- Tokenizers 0.13.2
