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Update README.md

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@@ -73,7 +73,7 @@ The training process involved a per-device batch size of 92, gradient accumulati
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  ## Results
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- ##### Training and Evaluation Metrics
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  | Metric | Value | Description |
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  |--------------------|---------|---------------------------------------------------------|
@@ -82,7 +82,8 @@ The training process involved a per-device batch size of 92, gradient accumulati
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  | **Perplexity** | 1.3849 | Indicates how well the model predicts the next word. |
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- ##### Fine-tuned For Downstream Task
 
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  Named Entity Recognition (NER)
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  | Metric | Value |
 
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  ## Results
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+ #### Training and Evaluation Metrics
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  | Metric | Value | Description |
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  |--------------------|---------|---------------------------------------------------------|
 
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  | **Perplexity** | 1.3849 | Indicates how well the model predicts the next word. |
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+ #### Fine-tuned For Downstream Task
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+
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  Named Entity Recognition (NER)
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  | Metric | Value |