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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-t5large-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-t5large-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: 0.6448 |
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- Nl2bash M: 0.7181 |
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- Gen Len: 14.2079 |
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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: 10 |
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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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| 1.8995 | 1.0 | 561 | 1.1364 | 0.5124 | 13.7261 | |
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| 1.1669 | 2.0 | 1122 | 0.9093 | 0.5966 | 13.9349 | |
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| 0.9508 | 3.0 | 1683 | 0.8024 | 0.645 | 13.7716 | |
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| 0.8426 | 4.0 | 2244 | 0.7366 | 0.6696 | 13.9492 | |
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| 0.7574 | 5.0 | 2805 | 0.6994 | 0.6888 | 14.099 | |
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| 0.6884 | 6.0 | 3366 | 0.6756 | 0.6946 | 14.2498 | |
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| 0.6301 | 7.0 | 3927 | 0.6573 | 0.7101 | 14.3782 | |
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| 0.6031 | 8.0 | 4488 | 0.6476 | 0.7165 | 14.1793 | |
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| 0.5536 | 9.0 | 5049 | 0.6465 | 0.7164 | 14.1989 | |
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| 0.5443 | 10.0 | 5610 | 0.6448 | 0.7181 | 14.2079 | |
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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 2.10.1 |
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- Tokenizers 0.13.2 |
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