tawfikgh/T5-CNN-Daily-Mail
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: 1.9837
- Train Accuracy: 0.4441
- Validation Loss: 1.8009
- Validation Accuracy: 0.4649
- Train Rouge1: 22.7067
- Train Rouge2: 9.1444
- Train Rougel: 18.3611
- Train Rougelsum: 21.1853
- Train F1: 0.9184
- Train Gen Len: 19.0
- Epoch: 0
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 F1 | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|---|---|---|
| 1.9837 | 0.4441 | 1.8009 | 0.4649 | 22.7067 | 9.1444 | 18.3611 | 21.1853 | 0.9184 | 19.0 | 0 |
Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.0