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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-NL2BASH-customv3 |
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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-NL2BASH-customv3 |
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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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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: 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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- Transformers 4.26.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.6.1 |
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- Tokenizers 0.11.0 |
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