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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: byt5-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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# byt5-small-finetuned-English-to-BASH |
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This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: nan |
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- Bleu: 3.8867 |
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- Gen Len: 19.0 |
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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: 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 | 387 | nan | 3.8867 | 19.0 | |
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| 0.0 | 2.0 | 774 | nan | 3.8867 | 19.0 | |
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| 0.0 | 3.0 | 1161 | nan | 3.8867 | 19.0 | |
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| 0.0 | 4.0 | 1548 | nan | 3.8867 | 19.0 | |
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| 0.0 | 5.0 | 1935 | nan | 3.8867 | 19.0 | |
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| 0.0 | 6.0 | 2322 | nan | 3.8867 | 19.0 | |
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| 0.0 | 7.0 | 2709 | nan | 3.8867 | 19.0 | |
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| 0.0 | 8.0 | 3096 | nan | 3.8867 | 19.0 | |
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| 0.0 | 9.0 | 3483 | nan | 3.8867 | 19.0 | |
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| 0.0 | 10.0 | 3870 | nan | 3.8867 | 19.0 | |
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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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