t5-small-finetuned-sql5
This model is a fine-tuned version of FYP19/t5-small-finetuned-wikisql on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0764
- Rouge2 Precision: 0.6162
- Rouge2 Recall: 0.3169
- Rouge2 Fmeasure: 0.3558
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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 0.0441 | 1.0 | 916 | 0.0653 | 0.6461 | 0.353 | 0.3928 |
| 0.0246 | 2.0 | 1832 | 0.0629 | 0.6515 | 0.341 | 0.3894 |
| 0.0179 | 3.0 | 2748 | 0.0681 | 0.641 | 0.3325 | 0.3749 |
| 0.0138 | 4.0 | 3664 | 0.0741 | 0.6314 | 0.3294 | 0.3695 |
| 0.0094 | 5.0 | 4580 | 0.0764 | 0.6162 | 0.3169 | 0.3558 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3