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update model card README.md

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@@ -21,7 +21,7 @@ model-index:
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  metrics:
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  - name: Bleu
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  type: bleu
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- value: 19.8227
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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
@@ -31,9 +31,9 @@ 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-tc-big-en-tr](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-tr) on the wmt16 dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6141
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- - Bleu: 19.8227
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- - Gen Len: 23.0539
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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- | 0.981 | 1.0 | 12860 | 1.6141 | 19.8227 | 23.0539 |
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  ### Framework versions
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- - Transformers 4.27.4
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- - Pytorch 1.13.1+cu116
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- - Datasets 2.11.0
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- - Tokenizers 0.13.2
 
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  metrics:
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  - name: Bleu
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  type: bleu
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+ value: 19.8042
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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-tc-big-en-tr](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-en-tr) on the wmt16 dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.6132
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+ - Bleu: 19.8042
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+ - Gen Len: 23.0739
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
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  |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
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+ | 0.9813 | 1.0 | 12860 | 1.6132 | 19.8042 | 23.0739 |
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  ### Framework versions
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+ - Transformers 4.29.2
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+ - Pytorch 2.0.1+cu117
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+ - Datasets 2.13.1
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+ - Tokenizers 0.13.3