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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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+
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+ # train_hf
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+
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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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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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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+
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+ ### Training results
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+
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+
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+
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+ ### Framework versions
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+
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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