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Update README.md

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@@ -140,7 +140,7 @@ for src, tgt in zip(src_texts, translations):
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  ## Performance
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- The model's performance will be evaluated using the BLEU score on the test set. The evaluation results are as follows:
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  - **Eval Loss**: 0.0895
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  <!-- - **BLEU Score**: 27.45 (example score, replace with actual if available) -->
@@ -149,7 +149,7 @@ These metrics provide an indication of the translation quality and the model's a
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  ## Limitations
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- - The model is trained with a maximum input length of 512 tokens, which may limit its effectiveness on longer texts.
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  - The dataset used for fine-tuning may influence the model's performance on specific domains or styles of text.
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  ## Future Work
 
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  ## Performance
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+ The model's performance will be evaluated using the BLEU score on the test set. So far, the following (about evaluation) should be noted:
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  - **Eval Loss**: 0.0895
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  <!-- - **BLEU Score**: 27.45 (example score, replace with actual if available) -->
 
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  ## Limitations
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+ - The model is trained with a maximum input length of 512 tokens, which is pretty good for everyday sentences but may limit its effectiveness on longer texts.
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  - The dataset used for fine-tuning may influence the model's performance on specific domains or styles of text.
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  ## Future Work