--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: t5-small-t5small-NL2BASH_testmetric results: [] --- # t5-small-t5small-NL2BASH_testmetric This model is a fine-tuned version of [t5-small](https://huggingface.co/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