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README.md
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---
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tags:
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- generated_from_trainer
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metrics:
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- bleu
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model-index:
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- name: t5-small-ENG2BASH-NL2BASH-customv1
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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-ENG2BASH-NL2BASH-customv1
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This model is a fine-tuned version of [alexsha/t5-small-ENG2BASH-NL2BASH](https://huggingface.co/alexsha/t5-small-ENG2BASH-NL2BASH) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2460
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- Bleu: 89.1258
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- Gen Len: 6.4872
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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: 0.0002
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- train_batch_size: 5
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- eval_batch_size: 5
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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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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
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| No log | 1.0 | 63 | 0.9255 | 8.9812 | 6.7179 |
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| No log | 2.0 | 126 | 0.5406 | 52.1648 | 7.0256 |
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| No log | 3.0 | 189 | 0.3841 | 61.0328 | 7.5897 |
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| No log | 4.0 | 252 | 0.2745 | 65.7791 | 7.641 |
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| No log | 5.0 | 315 | 0.2461 | 83.3 | 6.5641 |
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| No log | 6.0 | 378 | 0.2582 | 84.9958 | 6.7436 |
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| No log | 7.0 | 441 | 0.2703 | 85.5359 | 6.3333 |
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| 0.5161 | 8.0 | 504 | 0.2527 | 86.893 | 6.7179 |
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| 0.5161 | 9.0 | 567 | 0.2471 | 88.5593 | 6.5641 |
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| 0.5161 | 10.0 | 630 | 0.2460 | 89.1258 | 6.4872 |
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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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