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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- bleu |
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model-index: |
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- name: t5-small-ENG2BASH-NL2BASH-customv1-customv2 |
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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-ENG2BASH-NL2BASH-customv1-customv2 |
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This model is a fine-tuned version of [alexsha/t5-small-ENG2BASH-NL2BASH-customv1](https://huggingface.co/alexsha/t5-small-ENG2BASH-NL2BASH-customv1) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3117 |
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- Bleu: 62.6753 |
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- Gen Len: 17.36 |
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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: 0.0002 |
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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: 10 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| |
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| No log | 1.0 | 40 | 1.3531 | 21.0375 | 12.04 | |
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| No log | 2.0 | 80 | 0.6775 | 56.9739 | 16.88 | |
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| No log | 3.0 | 120 | 0.5087 | 61.3993 | 17.2 | |
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| No log | 4.0 | 160 | 0.4243 | 58.4332 | 17.2 | |
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| No log | 5.0 | 200 | 0.3642 | 61.2412 | 17.44 | |
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| No log | 6.0 | 240 | 0.3367 | 63.1132 | 17.56 | |
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| No log | 7.0 | 280 | 0.3181 | 63.1132 | 17.56 | |
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| No log | 8.0 | 320 | 0.3140 | 62.9769 | 17.44 | |
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| No log | 9.0 | 360 | 0.3136 | 63.861 | 17.32 | |
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| No log | 10.0 | 400 | 0.3117 | 62.6753 | 17.36 | |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1 |
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- Datasets 2.9.0 |
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- Tokenizers 0.13.2 |
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