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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-t5small-NL2BASH_testmetric
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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-t5small-NL2BASH_testmetric
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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: 0.8419
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- Nl2bash M metric score: 0.6705
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- Gen Len: 14.1204
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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: 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 | Nl2bash M metric score | Gen Len |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:-------:|
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| 1.9108 | 1.0 | 561 | 1.3959 | 0.4604 | 13.2667 |
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| 1.4715 | 2.0 | 1122 | 1.1810 | 0.5367 | 14.2346 |
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| 1.2636 | 3.0 | 1683 | 1.0533 | 0.5829 | 13.8903 |
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| 1.1565 | 4.0 | 2244 | 0.9805 | 0.6189 | 14.0642 |
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| 1.0652 | 5.0 | 2805 | 0.9298 | 0.6389 | 14.1401 |
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| 0.9923 | 6.0 | 3366 | 0.8979 | 0.6479 | 14.0285 |
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| 0.9259 | 7.0 | 3927 | 0.8678 | 0.6576 | 14.2453 |
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| 0.8942 | 8.0 | 4488 | 0.8515 | 0.6648 | 14.1418 |
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| 0.8456 | 9.0 | 5049 | 0.8452 | 0.6728 | 14.0714 |
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| 0.8273 | 10.0 | 5610 | 0.8419 | 0.6705 | 14.1204 |
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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 2.10.0
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- Tokenizers 0.13.2
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