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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-v1_1-base-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-v1_1-base-finetuned-English-to-BASH
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This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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- Bleu: 4.2827
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- Gen Len: 18.7765
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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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- 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 | 387 | nan | 4.2827 | 18.7765 |
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| 0.0 | 2.0 | 774 | nan | 4.2827 | 18.7765 |
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| 0.0 | 3.0 | 1161 | nan | 4.2827 | 18.7765 |
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| 0.0 | 4.0 | 1548 | nan | 4.2827 | 18.7765 |
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| 0.0 | 5.0 | 1935 | nan | 4.2827 | 18.7765 |
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| 0.0 | 6.0 | 2322 | nan | 4.2827 | 18.7765 |
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| 0.0 | 7.0 | 2709 | nan | 4.2827 | 18.7765 |
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| 0.0 | 8.0 | 3096 | nan | 4.2827 | 18.7765 |
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| 0.0 | 9.0 | 3483 | nan | 4.2827 | 18.7765 |
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| 0.0 | 10.0 | 3870 | nan | 4.2827 | 18.7765 |
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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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