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CharlieP/t5-small-nlpfinalproject-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: 3.2391
- Validation Loss: 3.0511
- Train Rouge1: 21.2434
- Train Rouge2: 4.0808
- Train Rougel: 16.6836
- Train Rougelsum: 16.6460
- Train Gen Len: 18.42
- Epoch: 4
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 | Train Gen Len | Epoch |
|---|---|---|---|---|---|---|---|
| 3.8204 | 3.2757 | 18.2829 | 2.7616 | 14.7101 | 14.7047 | 18.59 | 0 |
| 3.4646 | 3.1560 | 20.4371 | 3.6903 | 16.0587 | 16.0790 | 18.35 | 1 |
| 3.3630 | 3.1028 | 20.7907 | 3.9282 | 15.9696 | 15.8916 | 18.42 | 2 |
| 3.2904 | 3.0713 | 21.6980 | 4.3218 | 16.7261 | 16.6776 | 18.42 | 3 |
| 3.2391 | 3.0511 | 21.2434 | 4.0808 | 16.6836 | 16.6460 | 18.42 | 4 |
Framework versions
- Transformers 4.23.1
- TensorFlow 2.9.2
- Datasets 2.6.1
- Tokenizers 0.13.1
