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LucaReggiani/t5-small-nlpfinalproject12_2-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: 3.8830
- Validation Loss: 3.5699
- Train Rouge1: 18.4656
- Train Rouge2: 2.2126
- Train Rougel: 14.7442
- Train Rougelsum: 15.1761
- Train Gen Len: 18.96
- 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': 1.9e-05, '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 |
|---|---|---|---|---|---|---|---|
| 4.3168 | 4.0297 | 15.0947 | 2.1725 | 12.0181 | 11.8872 | 19.0 | 0 |
| 4.1683 | 3.9156 | 16.1828 | 1.9876 | 12.9115 | 13.0799 | 19.0 | 1 |
| 4.0819 | 3.8338 | 15.9429 | 1.9947 | 13.0026 | 13.1274 | 19.0 | 2 |
| 4.0326 | 3.7649 | 16.7647 | 2.5233 | 13.4735 | 13.6475 | 18.96 | 3 |
| 3.9797 | 3.7033 | 17.2322 | 2.6240 | 13.6267 | 13.7851 | 18.95 | 4 |
| 3.9348 | 3.6524 | 17.4618 | 2.0566 | 13.5028 | 13.8150 | 18.98 | 5 |
| 3.8988 | 3.6090 | 17.7496 | 2.1414 | 13.8788 | 14.3797 | 18.98 | 6 |
| 3.8830 | 3.5699 | 18.4656 | 2.2126 | 14.7442 | 15.1761 | 18.96 | 7 |
Framework versions
- Transformers 4.26.1
- TensorFlow 2.11.0
- Datasets 2.10.0
- Tokenizers 0.13.2
