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t5-small-t5small-NL2BASH_testmetric
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8419
- Nl2bash M metric score: 0.6705
- Gen Len: 14.1204
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: 0.0002
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Nl2bash M metric score | Gen Len |
|---|---|---|---|---|---|
| 1.9108 | 1.0 | 561 | 1.3959 | 0.4604 | 13.2667 |
| 1.4715 | 2.0 | 1122 | 1.1810 | 0.5367 | 14.2346 |
| 1.2636 | 3.0 | 1683 | 1.0533 | 0.5829 | 13.8903 |
| 1.1565 | 4.0 | 2244 | 0.9805 | 0.6189 | 14.0642 |
| 1.0652 | 5.0 | 2805 | 0.9298 | 0.6389 | 14.1401 |
| 0.9923 | 6.0 | 3366 | 0.8979 | 0.6479 | 14.0285 |
| 0.9259 | 7.0 | 3927 | 0.8678 | 0.6576 | 14.2453 |
| 0.8942 | 8.0 | 4488 | 0.8515 | 0.6648 | 14.1418 |
| 0.8456 | 9.0 | 5049 | 0.8452 | 0.6728 | 14.0714 |
| 0.8273 | 10.0 | 5610 | 0.8419 | 0.6705 | 14.1204 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.10.0
- Tokenizers 0.13.2
