text2sql-4
This model is a fine-tuned version of Yu-yang/text2sql-3 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0276
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: 0.005
- 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: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.0714 | 0.1 | 500 | 0.0557 |
0.0567 | 0.2 | 1000 | 0.0487 |
0.0488 | 0.3 | 1500 | 0.0431 |
0.0498 | 0.4 | 2000 | 0.0397 |
0.0458 | 0.5 | 2500 | 0.0369 |
0.0398 | 0.6 | 3000 | 0.0352 |
0.0409 | 0.7 | 3500 | 0.0337 |
0.0423 | 0.8 | 4000 | 0.0325 |
0.0382 | 0.9 | 4500 | 0.0312 |
0.0354 | 1.0 | 5000 | 0.0305 |
0.0335 | 1.1 | 5500 | 0.0300 |
0.0336 | 1.2 | 6000 | 0.0294 |
0.0304 | 1.3 | 6500 | 0.0288 |
0.0294 | 1.4 | 7000 | 0.0283 |
0.0312 | 1.5 | 7500 | 0.0282 |
0.0322 | 1.6 | 8000 | 0.0279 |
0.0345 | 1.7 | 8500 | 0.0278 |
0.0287 | 1.8 | 9000 | 0.0277 |
0.0312 | 1.9 | 9500 | 0.0276 |
0.033 | 2.0 | 10000 | 0.0276 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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