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@@ -108,7 +108,8 @@ The Hugging Face's `CoNLL-2003` dataset was used, containing texts and their ner
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  ## 📊 Training Details
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  - **Number of epochs**: 3
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  - **Batch size**: 8
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- - **Evaluation strategy**: epoch
 
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  ### ⚡ Quantization
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  Post-training quantization was applied using PyTorch's built-in quantization framework to reduce the model size and improve inference efficiency.
 
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  ## 📊 Training Details
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  - **Number of epochs**: 3
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  - **Batch size**: 8
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+ - **Evaluation strategy**: epoch
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+ - **Learning Rate**: 2e-5
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  ### ⚡ Quantization
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  Post-training quantization was applied using PyTorch's built-in quantization framework to reduce the model size and improve inference efficiency.