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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-large-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-large-finetuned-English-to-BASH |
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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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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: 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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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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