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js0309/lab1_finetuning

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  1. README.md +3 -3
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@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 48.92970007708617
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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
@@ -34,8 +34,8 @@ should probably proofread and complete it, then remove this comment. -->
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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 kde4 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0256
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- - Model Preparation Time: 0.0051
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- - Bleu: 48.9297
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  ## Model description
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 48.955053735035584
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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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  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 kde4 dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.0256
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+ - Model Preparation Time: 0.0112
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+ - Bleu: 48.9551
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  ## Model description
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