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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-small-finetuned-English-to-BASH-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-small-finetuned-English-to-BASH-customv3 |
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This model is a fine-tuned version of [kevinum/t5-small-finetuned-English-to-BASH](https://huggingface.co/kevinum/t5-small-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: 0.9899 |
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- Exact Match: 0.0 |
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- Blue: 43.2959 |
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- Nl2bash M: 0.6953 |
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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: 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Exact Match | Blue | Nl2bash M | |
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|:-------------:|:-----:|:----:|:---------------:|:-----------:|:-------:|:---------:| |
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| No log | 1.0 | 121 | 1.3618 | 0.0 | 26.4318 | 0.4686 | |
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| No log | 2.0 | 242 | 1.1341 | 0.0 | 36.887 | 0.6049 | |
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| No log | 3.0 | 363 | 1.0489 | 0.0 | 40.1849 | 0.6468 | |
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| No log | 4.0 | 484 | 1.0048 | 0.0 | 42.7934 | 0.684 | |
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| 1.3783 | 5.0 | 605 | 0.9899 | 0.0 | 43.2959 | 0.6953 | |
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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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