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t5-text2sql_v1
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0772
- Rouge2 Precision: 0.8835
- Rouge2 Recall: 0.39
- Rouge2 Fmeasure: 0.5088
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 11 | 1.9420 | 0.0755 | 0.022 | 0.0323 |
| No log | 2.0 | 22 | 1.2731 | 0.0912 | 0.0263 | 0.039 |
| No log | 3.0 | 33 | 0.8717 | 0.0993 | 0.0284 | 0.0424 |
| No log | 4.0 | 44 | 0.5705 | 0.1014 | 0.032 | 0.0464 |
| No log | 5.0 | 55 | 0.3929 | 0.4151 | 0.1528 | 0.2149 |
| No log | 6.0 | 66 | 0.2911 | 0.7778 | 0.351 | 0.4594 |
| No log | 7.0 | 77 | 0.2290 | 0.781 | 0.3305 | 0.4395 |
| No log | 8.0 | 88 | 0.1995 | 0.7381 | 0.2992 | 0.4018 |
| No log | 9.0 | 99 | 0.1768 | 0.752 | 0.3147 | 0.4202 |
| No log | 10.0 | 110 | 0.1554 | 0.7242 | 0.3136 | 0.412 |
| No log | 11.0 | 121 | 0.1446 | 0.8128 | 0.3583 | 0.4694 |
| No log | 12.0 | 132 | 0.1337 | 0.8194 | 0.3653 | 0.478 |
| No log | 13.0 | 143 | 0.1264 | 0.8088 | 0.3564 | 0.4675 |
| No log | 14.0 | 154 | 0.1170 | 0.8036 | 0.3502 | 0.462 |
| No log | 15.0 | 165 | 0.1078 | 0.8851 | 0.3981 | 0.5188 |
| No log | 16.0 | 176 | 0.1046 | 0.8716 | 0.3864 | 0.5054 |
| No log | 17.0 | 187 | 0.1007 | 0.8753 | 0.3851 | 0.5042 |
| No log | 18.0 | 198 | 0.0951 | 0.8756 | 0.3941 | 0.5126 |
| No log | 19.0 | 209 | 0.0928 | 0.8414 | 0.3565 | 0.4708 |
| No log | 20.0 | 220 | 0.0894 | 0.854 | 0.3642 | 0.4808 |
| No log | 21.0 | 231 | 0.0863 | 0.8954 | 0.3954 | 0.5168 |
| No log | 22.0 | 242 | 0.0832 | 0.888 | 0.3931 | 0.5122 |
| No log | 23.0 | 253 | 0.0828 | 0.8835 | 0.39 | 0.5088 |
| No log | 24.0 | 264 | 0.0820 | 0.8835 | 0.39 | 0.5088 |
| No log | 25.0 | 275 | 0.0803 | 0.8835 | 0.39 | 0.5088 |
| No log | 26.0 | 286 | 0.0792 | 0.8835 | 0.39 | 0.5088 |
| No log | 27.0 | 297 | 0.0784 | 0.8761 | 0.3886 | 0.5066 |
| No log | 28.0 | 308 | 0.0775 | 0.8835 | 0.39 | 0.5088 |
| No log | 29.0 | 319 | 0.0772 | 0.8835 | 0.39 | 0.5088 |
| No log | 30.0 | 330 | 0.0772 | 0.8835 | 0.39 | 0.5088 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
