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t5-small-finetuned-wikisql
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2640
- Rouge2 Precision: 0.8471
- Rouge2 Recall: 0.3841
- Rouge2 Fmeasure: 0.5064
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 11 | 2.7587 | 0.098 | 0.0305 | 0.045 |
| No log | 2.0 | 22 | 2.0056 | 0.0969 | 0.0284 | 0.0422 |
| No log | 3.0 | 33 | 1.4456 | 0.1046 | 0.0349 | 0.0503 |
| No log | 4.0 | 44 | 1.0317 | 0.1054 | 0.0337 | 0.0482 |
| No log | 5.0 | 55 | 0.7603 | 0.2749 | 0.1299 | 0.1724 |
| No log | 6.0 | 66 | 0.5722 | 0.7115 | 0.352 | 0.4552 |
| No log | 7.0 | 77 | 0.4751 | 0.6872 | 0.337 | 0.436 |
| No log | 8.0 | 88 | 0.4253 | 0.7256 | 0.3439 | 0.4462 |
| No log | 9.0 | 99 | 0.3805 | 0.7335 | 0.3204 | 0.4308 |
| No log | 10.0 | 110 | 0.3562 | 0.7342 | 0.3239 | 0.433 |
| No log | 11.0 | 121 | 0.3275 | 0.7906 | 0.355 | 0.471 |
| No log | 12.0 | 132 | 0.3133 | 0.8382 | 0.3838 | 0.5061 |
| No log | 13.0 | 143 | 0.2996 | 0.8409 | 0.3841 | 0.5062 |
| No log | 14.0 | 154 | 0.2903 | 0.8304 | 0.3763 | 0.4978 |
| No log | 15.0 | 165 | 0.2867 | 0.8409 | 0.3841 | 0.5062 |
| No log | 16.0 | 176 | 0.2786 | 0.8409 | 0.3841 | 0.5062 |
| No log | 17.0 | 187 | 0.2711 | 0.8409 | 0.3841 | 0.5062 |
| No log | 18.0 | 198 | 0.2673 | 0.8409 | 0.3841 | 0.5062 |
| No log | 19.0 | 209 | 0.2643 | 0.8471 | 0.3841 | 0.5064 |
| No log | 20.0 | 220 | 0.2640 | 0.8471 | 0.3841 | 0.5064 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
