update model card README.md
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README.md
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@@ -14,9 +14,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) 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: 14.
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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: 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:
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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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| 0.4295 | 6.0 | 3366 | 0.5921 | 0.7632 | 14.4202 |
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| 0.3762 | 7.0 | 3927 | 0.5983 | 0.7625 | 14.4853 |
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| 0.3366 | 8.0 | 4488 | 0.6032 | 0.7707 | 14.4755 |
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| 0.2779 | 9.0 | 5049 | 0.6084 | 0.7725 | 14.3666 |
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| 0.2654 | 10.0 | 5610 | 0.6147 | 0.776 | 14.4407 |
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### Framework versions
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This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7646
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- Nl2bash M: 0.7822
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- Gen Len: 14.4665
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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: 4e-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: 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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| 0.2312 | 1.0 | 561 | 0.6370 | 0.7743 | 14.4202 |
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| 0.1836 | 2.0 | 1122 | 0.6767 | 0.7782 | 14.4585 |
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| 0.1445 | 3.0 | 1683 | 0.7171 | 0.7805 | 14.3586 |
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| 0.1263 | 4.0 | 2244 | 0.7457 | 0.78 | 14.479 |
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| 0.1092 | 5.0 | 2805 | 0.7646 | 0.7822 | 14.4665 |
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### Framework versions
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