| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: t5-large-finetuned-NL2BASH-customv3 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # t5-large-finetuned-NL2BASH-customv3 | |
| This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-finetuned-English-to-BASH) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.6790 | |
| - Nl2bash M: 0.8878 | |
| - Gen Len: 13.5207 | |
| ## 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: 6e-05 | |
| - train_batch_size: 5 | |
| - eval_batch_size: 5 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:| | |
| | No log | 1.0 | 387 | 0.6405 | 0.8927 | 13.3223 | | |
| | 0.0699 | 2.0 | 774 | 0.6508 | 0.8898 | 13.5207 | | |
| | 0.0578 | 3.0 | 1161 | 0.6790 | 0.8878 | 13.5207 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1 | |
| - Datasets 2.6.1 | |
| - Tokenizers 0.11.0 | |