update model card README.md
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README.md
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This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-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: 0.
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- Nl2bash M: 0.
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- Gen Len: 13.
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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:
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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 | 387 | 0.
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| 0.
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| 0.
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### Framework versions
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This model is a fine-tuned version of [alexsha/t5-large-finetuned-English-to-BASH](https://huggingface.co/alexsha/t5-large-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: 0.7159
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- Nl2bash M: 0.8822
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- Gen Len: 13.4256
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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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: 5
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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 | 387 | 0.7666 | 0.8897 | 13.2314 |
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| 0.0177 | 2.0 | 774 | 0.7878 | 0.887 | 13.3512 |
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| 0.0188 | 3.0 | 1161 | 0.7580 | 0.8872 | 13.5661 |
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| 0.0461 | 4.0 | 1548 | 0.7121 | 0.8846 | 13.3926 |
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| 0.0461 | 5.0 | 1935 | 0.7159 | 0.8822 | 13.4256 |
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### Framework versions
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