PaulineSanchez
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README.md
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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
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