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README.md CHANGED
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  ---
 
 
 
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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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+ language:
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+ - fr
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+ - en
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  license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - PaulineSanchez/recipes_translation_400
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+ metrics:
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+ - bleu
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+ model-index:
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+ - name: train_hf_new_fren_batch_12_epoch_4
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+ results:
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+ - task:
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+ name: Translation
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+ type: translation
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+ dataset:
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+ name: PaulineSanchez/recipes_translation_400
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+ type: PaulineSanchez/recipes_translation_400
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+ split: validation
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+ metrics:
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+ - name: Bleu
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+ type: bleu
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+ value: 59.7829
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  ---
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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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+
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+ # train_hf_new_fren_batch_12_epoch_4
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+
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+ This model is a fine-tuned version of [Helsinki-NLP/opus-mt-fr-en](https://huggingface.co/Helsinki-NLP/opus-mt-fr-en) on the PaulineSanchez/recipes_translation_400 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7762
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+ - Bleu: 59.7829
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+ - Gen Len: 29.475
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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: 12
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+ - eval_batch_size: 12
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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: 4.0
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+
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+ ### Training results
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+
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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 | 27 | 0.8249 | 57.2256 | 29.225 |
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+ | No log | 2.0 | 54 | 0.7964 | 58.125 | 28.95 |
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+ | No log | 3.0 | 81 | 0.7786 | 59.3353 | 29.35 |
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+ | No log | 4.0 | 108 | 0.7762 | 59.7829 | 29.475 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.31.0.dev0
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
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