t5-base-finetuned-wikisql
This model is a fine-tuned version of t5-base on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1079
- Rouge2 Precision: 0.8276
- Rouge2 Recall: 0.7361
- Rouge2 Fmeasure: 0.7721
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.1298 | 1.0 | 4049 | 0.1079 | 0.8276 | 0.7361 | 0.7721 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2