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TestZee/t5-small-finetuned-kaggle-data-t5-v2.0
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: 1.8648
- Validation Loss: 1.7172
- Train Rouge1: 24.1639
- Train Rouge2: 13.1314
- Train Rougel: 20.8170
- Train Rougelsum: 22.3549
- Train Gen Len: 19.0
- 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 |
|---|---|---|---|---|---|---|---|
| 2.1107 | 1.8251 | 23.3472 | 12.6240 | 20.0726 | 21.6297 | 19.0 | 0 |
| 1.9759 | 1.7755 | 23.8048 | 13.0368 | 20.4876 | 22.1022 | 19.0 | 1 |
| 1.9275 | 1.7466 | 23.9713 | 13.1351 | 20.5833 | 22.1610 | 19.0 | 2 |
| 1.8931 | 1.7291 | 24.0628 | 13.1243 | 20.7427 | 22.2890 | 19.0 | 3 |
| 1.8648 | 1.7172 | 24.1639 | 13.1314 | 20.8170 | 22.3549 | 19.0 | 4 |
Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
