mt5-small-finetuned-wikisql2
This model is a fine-tuned version of adityarao1612/mt5-small-finetuned-wikisql on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4787
- Bleu: 42.5374
- Gen Len: 16.3262
Model description
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Intended uses & limitations
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Training and evaluation data
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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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.6048 | 1.0 | 8097 | 0.5237 | 41.501 | 16.365 |
| 0.5856 | 2.0 | 16194 | 0.4880 | 42.1987 | 16.2478 |
| 0.5583 | 3.0 | 24291 | 0.4787 | 42.5374 | 16.3262 |
Framework versions
- Transformers 4.26.0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.13.3
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