t5-small-finetuned-wikisql
This model is a fine-tuned version of t5-small on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1247
- Model Preparation Time: 0.008
- Rouge1: 0.8801
- Rouge2: 0.7827
- Rougel: 0.8666
- Rougelsum: 0.8667
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:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 0.1942 | 1.0 | 4049 | 0.1561 | 0.008 | 0.8709 | 0.7597 | 0.8545 | 0.8546 |
| 0.1646 | 2.0 | 8098 | 0.1373 | 0.008 | 0.8771 | 0.7745 | 0.8624 | 0.8625 |
| 0.147 | 3.0 | 12147 | 0.1297 | 0.008 | 0.8794 | 0.7796 | 0.8654 | 0.8655 |
| 0.1412 | 4.0 | 16196 | 0.1256 | 0.008 | 0.8795 | 0.782 | 0.866 | 0.8661 |
| 0.14 | 5.0 | 20245 | 0.1247 | 0.008 | 0.8801 | 0.7827 | 0.8666 | 0.8667 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1