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TestZee/t5-base-finetuned-short-news-t5-base2
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 1.9039
- Validation Loss: 2.0694
- Train Rouge1: 29.4899
- Train Rouge2: 13.4106
- Train Rougel: 25.9621
- Train Rougelsum: 26.4759
- Train Gen Len: 19.0
- Epoch: 2
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': 1e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.001}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Train Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 2.3789 | 2.3642 | 29.2164 | 12.2894 | 25.0497 | 25.0582 | 19.0 | 0 |
| 2.0565 | 2.1861 | 27.9591 | 11.8954 | 24.6681 | 25.1984 | 19.0 | 1 |
| 1.9039 | 2.0694 | 29.4899 | 13.4106 | 25.9621 | 26.4759 | 19.0 | 2 |
Framework versions
- Transformers 4.29.2
- TensorFlow 2.12.0
- Datasets 2.12.0
- Tokenizers 0.13.3
