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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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metrics: |
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- nl2bash_m |
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model-index: |
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- name: t5-v1_1-base-finetuned-English-to-BASH |
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results: [] |
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--- |
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# t5-v1_1-base-finetuned-English-to-BASH |
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Created by: [Josh Shih](https://huggingface.co/Josh98), [Alex Sha](https://huggingface.co/alexsha), [Kevin Um](https://huggingface.co/kevinum) for EEP 596 - Natural Language Processing at University of Washington (Seattle). |
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This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on a more balanced iteration of the [NL2BASH](https://github.com/TellinaTool/nl2bash/tree/master/data) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7958 |
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- Nl2bash M: 0.6179 |
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- Gen Len: 14.0821 |
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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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This model was trained and evaluated using a custom iteration of [NL2BASH](https://github.com/TellinaTool/nl2bash/tree/master/data). The original NL2BASH dataset contains a large class imbalance with too many bash commands which begin with 'find'. |
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A maximum threshold was set to remove text/BASH pairs which exceeded the threshold, and [GPT-3](https://openai.com/blog/gpt-3-apps/) API was used to generate text/BASH pairs for those below the threshold. |
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~5500 original text/BASH pairs and ~5700 generated text/BASH pairs were used, giving a total of ~11200 lines of text/BASH pairs. Shown below is the class distribution for the top-5 commands. |
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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: 0.0001 |
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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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| 4.7401 | 1.0 | 561 | 1.6374 | 0.258 | 12.9715 | |
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| 1.9636 | 2.0 | 1122 | 1.2574 | 0.345 | 14.4728 | |
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| 1.5349 | 3.0 | 1683 | 1.0844 | 0.3873 | 14.5727 | |
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| 1.3565 | 4.0 | 2244 | 0.9777 | 0.4705 | 14.3506 | |
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| 1.2006 | 5.0 | 2805 | 0.8995 | 0.5536 | 14.2159 | |
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| 1.0931 | 6.0 | 3366 | 0.8622 | 0.5848 | 14.0883 | |
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| 1.0008 | 7.0 | 3927 | 0.8261 | 0.603 | 14.1401 | |
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| 0.952 | 8.0 | 4488 | 0.8146 | 0.6145 | 13.9322 | |
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| 0.8829 | 9.0 | 5049 | 0.8013 | 0.6185 | 13.9715 | |
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| 0.8657 | 10.0 | 5610 | 0.7958 | 0.6179 | 14.0821 | |
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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 2.10.0 |
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- Tokenizers 0.13.2 |
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