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LucaReggiani/t5-small-nlpfinalproject77-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: 4.5603
- Validation Loss: 4.3567
- Train Rouge1: 13.1331
- Train Rouge2: 1.6382
- Train Rougel: 11.1522
- Train Rougelsum: 11.1925
- Train Gen Len: 18.61
- 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': 'SGD', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 0.01, 'momentum': 0.9, 'nesterov': False}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 3.7711 | 3.2050 | 21.4378 | 3.8309 | 16.8638 | 16.8461 | 17.91 | 0 |
| 3.6104 | 3.6987 | 19.2609 | 3.2385 | 15.7661 | 15.7653 | 18.53 | 1 |
| 4.0072 | 3.5355 | 18.1665 | 3.2252 | 14.8050 | 14.7179 | 17.72 | 2 |
| 3.7558 | 3.3357 | 20.2834 | 3.3265 | 15.8726 | 15.8640 | 18.41 | 3 |
| 3.5929 | 3.2442 | 21.7618 | 4.0454 | 16.9764 | 16.9738 | 18.32 | 4 |
| 4.2933 | 4.5266 | 11.2148 | 0.9346 | 9.6743 | 9.6997 | 18.14 | 5 |
| 4.6557 | 4.4097 | 10.1267 | 0.9146 | 9.0568 | 9.0328 | 18.95 | 6 |
| 4.5603 | 4.3567 | 13.1331 | 1.6382 | 11.1522 | 11.1925 | 18.61 | 7 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.9.0
- Tokenizers 0.13.2
