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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: t5-large-finetuned-English-to-BASH
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# t5-large-finetuned-English-to-BASH
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6147
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- Nl2bash M: 0.776
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- Gen Len: 14.4407
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Nl2bash M | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
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| 1.5433 | 1.0 | 561 | 0.9192 | 0.6019 | 13.6592 |
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| 0.9018 | 2.0 | 1122 | 0.7196 | 0.6793 | 14.3167 |
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| 0.6917 | 3.0 | 1683 | 0.6409 | 0.7169 | 14.3827 |
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| 0.5842 | 4.0 | 2244 | 0.6094 | 0.7384 | 14.1775 |
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| 0.5013 | 5.0 | 2805 | 0.6041 | 0.7577 | 14.2194 |
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| 0.4295 | 6.0 | 3366 | 0.5921 | 0.7632 | 14.4202 |
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| 0.3762 | 7.0 | 3927 | 0.5983 | 0.7625 | 14.4853 |
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| 0.3366 | 8.0 | 4488 | 0.6032 | 0.7707 | 14.4755 |
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| 0.2779 | 9.0 | 5049 | 0.6084 | 0.7725 | 14.3666 |
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| 0.2654 | 10.0 | 5610 | 0.6147 | 0.776 | 14.4407 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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