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keyword-masked-model
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: 0.6588
- Validation Loss: 0.5614
- Train Rouge1: 81.6702
- Train Rouge2: 69.0116
- Train Rougel: 81.6273
- Train Rougelsum: 81.5364
- Epoch: 9
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 |
|---|---|---|---|---|---|---|
| 0.9026 | 0.7256 | 78.4320 | 65.5502 | 78.2535 | 78.1327 | 0 |
| 0.8436 | 0.6875 | 79.2603 | 66.4389 | 79.1002 | 79.0620 | 1 |
| 0.7989 | 0.6597 | 79.8406 | 66.7444 | 79.5641 | 79.5095 | 2 |
| 0.7739 | 0.6403 | 81.0719 | 68.0576 | 80.8293 | 80.7287 | 3 |
| 0.7439 | 0.6246 | 81.0565 | 68.0129 | 80.7808 | 80.6909 | 4 |
| 0.7209 | 0.6135 | 81.1721 | 68.2028 | 80.9586 | 80.8343 | 5 |
| 0.6962 | 0.5982 | 81.6791 | 68.9723 | 81.5971 | 81.5262 | 6 |
| 0.6922 | 0.5822 | 81.7266 | 69.0548 | 81.6877 | 81.6085 | 7 |
| 0.6657 | 0.5696 | 82.0421 | 69.3520 | 81.9003 | 81.8580 | 8 |
| 0.6588 | 0.5614 | 81.6702 | 69.0116 | 81.6273 | 81.5364 | 9 |
Framework versions
- Transformers 4.31.0
- TensorFlow 2.12.0
- Datasets 2.13.1
- Tokenizers 0.13.3
