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update model card README.md

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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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+
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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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+
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+ # t5-small-finetuned-English-to-BASH-customv3
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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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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+
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+
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+ ### Framework versions
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+
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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