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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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metrics:
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- bleu
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model-index:
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- name: t5-small-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-small-finetuned-English-to-BASH
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.8636
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- Bleu: 7.596
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- Gen Len: 10.9583
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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: 2e-05
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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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- 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 | 36 | 4.5228 | 1.4354 | 14.6667 |
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| No log | 2.0 | 72 | 3.9716 | 1.6709 | 14.2778 |
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| No log | 3.0 | 108 | 3.6334 | 2.2286 | 13.0694 |
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| No log | 4.0 | 144 | 3.3896 | 6.0617 | 11.1389 |
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| No log | 5.0 | 180 | 3.2192 | 5.4152 | 11.1806 |
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| No log | 6.0 | 216 | 3.0858 | 8.1953 | 10.8889 |
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| No log | 7.0 | 252 | 2.9834 | 7.733 | 10.8333 |
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| No log | 8.0 | 288 | 2.9188 | 7.6827 | 10.6944 |
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| No log | 9.0 | 324 | 2.8793 | 7.6893 | 10.7361 |
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| No log | 10.0 | 360 | 2.8636 | 7.596 | 10.9583 |
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### Framework versions
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- Transformers 4.27.0.dev0
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- Pytorch 1.13.1+cu116
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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