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--- |
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language: |
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- en |
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- fr |
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datasets: |
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- PaulineSanchez/Trad_food |
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metrics: |
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- bleu |
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pipeline_tag: translation |
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tags: |
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- food |
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--- |
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# train_hf |
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This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-fr](https://huggingface.co/Helsinki-NLP/opus-mt-en-fr) on the PaulineSanchez/Trad_food dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5736 |
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- Bleu: 77.4387 |
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- Gen Len: 10.8386 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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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: 6.0 |
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### Training results |
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### Framework versions |
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- Transformers 4.29.0.dev0 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
