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t5-small-finetuned-wikisql
This model is a fine-tuned version of unicamp-dl/ptt5-base-t5-vocab on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1636
- Rouge2 Precision: 0.0429
- Rouge2 Recall: 0.0139
- Rouge2 Fmeasure: 0.021
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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 2 | 10.5445 | 0.0429 | 0.0139 | 0.021 |
| No log | 2.0 | 4 | 7.0508 | 0.0429 | 0.0139 | 0.021 |
| No log | 3.0 | 6 | 5.0775 | 0.0429 | 0.0139 | 0.021 |
| No log | 4.0 | 8 | 3.9094 | 0.0429 | 0.0139 | 0.021 |
| No log | 5.0 | 10 | 3.1636 | 0.0429 | 0.0139 | 0.021 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
