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test-model-2
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: 3.1788
- Validation Loss: 3.0981
- Train Rouge1: 50.8633
- Train Rouge2: 28.1318
- Train Rougel: 50.8609
- Train Rougelsum: 50.6780
- Epoch: 1
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 | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Epoch |
|---|---|---|---|---|---|---|
| 3.3603 | 3.2379 | 48.6116 | 25.9692 | 48.2054 | 47.9899 | 0 |
| 3.1788 | 3.0981 | 50.8633 | 28.1318 | 50.8609 | 50.6780 | 1 |
Framework versions
- Transformers 4.25.1
- TensorFlow 2.9.2
- Datasets 2.8.0
- Tokenizers 0.13.2
