t5-small-finetuned-sql3
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: 0.0703
- Rouge2 Precision: 0.6901
- Rouge2 Recall: 0.4476
- Rouge2 Fmeasure: 0.5124
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 |
|---|---|---|---|---|---|---|
| 0.0456 | 1.0 | 916 | 0.0626 | 0.5941 | 0.3852 | 0.4383 |
| 0.0277 | 2.0 | 1832 | 0.0629 | 0.6361 | 0.4106 | 0.469 |
| 0.0191 | 3.0 | 2748 | 0.0654 | 0.6731 | 0.4436 | 0.5048 |
| 0.0142 | 4.0 | 3664 | 0.0678 | 0.6767 | 0.4365 | 0.5001 |
| 0.01 | 5.0 | 4580 | 0.0703 | 0.6901 | 0.4476 | 0.5124 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3