tawfikgh/t5-small-finetuned-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: 2.6007
- Train Accuracy: 0.3468
- Validation Loss: 2.4078
- Validation Accuracy: 0.3649
- Train Rouge1: 28.6978
- Train Rouge2: 8.2259
- Train Rougel: 22.5783
- Train Rougelsum: 22.5893
- Train Gen Len: 18.8233
- Epoch: 3
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': 2e-05, '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 | Train Accuracy | Validation Loss | Validation Accuracy | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|---|---|
| 2.7567 | 0.3320 | 2.5031 | 0.3547 | 27.5049 | 7.3784 | 21.4250 | 21.4420 | 18.8232 | 0 |
| 2.6906 | 0.3388 | 2.4626 | 0.3594 | 28.0606 | 7.6834 | 21.9653 | 21.9739 | 18.8168 | 1 |
| 2.6419 | 0.3436 | 2.4321 | 0.3624 | 28.5598 | 8.0688 | 22.3498 | 22.3559 | 18.8152 | 2 |
| 2.6007 | 0.3468 | 2.4078 | 0.3649 | 28.6978 | 8.2259 | 22.5783 | 22.5893 | 18.8233 | 3 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0