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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-small-finetuned-NL2BASH-customv3
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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-small-finetuned-NL2BASH-customv3
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This model is a fine-tuned version of [kevinum/t5-small-finetuned-English-to-BASH](https://huggingface.co/kevinum/t5-small-finetuned-English-to-BASH) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2677
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- Nl2bash M: 0.6643
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- Gen Len: 13.1786
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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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| No log | 1.0 | 126 | 2.4842 | 0.3006 | 12.6508 |
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| No log | 2.0 | 252 | 1.9796 | 0.4956 | 12.6468 |
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| No log | 3.0 | 378 | 1.7191 | 0.5892 | 12.9365 |
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| 2.3246 | 4.0 | 504 | 1.5621 | 0.6191 | 12.7063 |
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| 2.3246 | 5.0 | 630 | 1.4458 | 0.6451 | 13.0714 |
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| 2.3246 | 6.0 | 756 | 1.3707 | 0.6633 | 12.9524 |
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| 2.3246 | 7.0 | 882 | 1.3228 | 0.6695 | 12.9048 |
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| 1.415 | 8.0 | 1008 | 1.2921 | 0.6661 | 13.0357 |
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| 1.415 | 9.0 | 1134 | 1.2737 | 0.6648 | 13.1905 |
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| 1.415 | 10.0 | 1260 | 1.2677 | 0.6643 | 13.1786 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1
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- Datasets 2.6.1
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- Tokenizers 0.11.0
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