t5-small-finetuned-wikisql-final
This model is a fine-tuned version of t5-small on the wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1777
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.2073 | 1.0 | 4049 | 0.1936 |
| 0.1949 | 2.0 | 8098 | 0.1849 |
| 0.1896 | 3.0 | 12147 | 0.1807 |
| 0.1902 | 4.0 | 16196 | 0.1784 |
| 0.1854 | 5.0 | 20245 | 0.1777 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0a0+4136153
- Datasets 2.13.1
- Tokenizers 0.13.3
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Model tree for Dharma610/t5-small-finetuned-wikisql-final
Base model
google-t5/t5-small