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t5-small-finetuned-wikisql-sql-nl-nl-sql
This model is a fine-tuned version of t5-small on the Wikisql dataset. It achieves the following results on the evaluation set:
- Loss: 0.1930
- Bleu: 41.883
- Gen Len: 16.6165
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 | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2644 | 1.0 | 8097 | 0.2248 | 39.6535 | 16.6696 |
| 0.2386 | 2.0 | 16194 | 0.2063 | 40.9022 | 16.6533 |
| 0.2218 | 3.0 | 24291 | 0.1981 | 41.5751 | 16.6832 |
| 0.2212 | 4.0 | 32388 | 0.1940 | 41.7557 | 16.6145 |
| 0.2111 | 5.0 | 40485 | 0.1930 | 41.883 | 16.6165 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
