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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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- bleu |
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model-index: |
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- name: t5-small-finetuned-English-to-BASH |
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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 |
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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: 1.7624 |
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- Bleu: 15.8119 |
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- Gen Len: 7.75 |
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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: 2e-05 |
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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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- 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 | 36 | 2.4759 | 9.4129 | 12.8472 | |
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| No log | 2.0 | 72 | 2.2581 | 14.8612 | 9.7639 | |
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| No log | 3.0 | 108 | 2.0998 | 16.1955 | 8.7222 | |
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| No log | 4.0 | 144 | 1.9945 | 14.576 | 8.4444 | |
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| No log | 5.0 | 180 | 1.9181 | 15.4464 | 8.1806 | |
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| No log | 6.0 | 216 | 1.8639 | 14.7446 | 7.9028 | |
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| No log | 7.0 | 252 | 1.8185 | 14.5825 | 8.0833 | |
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| No log | 8.0 | 288 | 1.7867 | 14.9773 | 7.9444 | |
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| No log | 9.0 | 324 | 1.7679 | 15.8119 | 7.75 | |
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| No log | 10.0 | 360 | 1.7624 | 15.8119 | 7.75 | |
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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 2.9.0 |
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- Tokenizers 0.13.2 |
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