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@@ -30,6 +30,14 @@ This model is intended to demonstrate my ability to solve a complex problem usin
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  Dataset Source: https://www.kaggle.com/datasets/ssarkar445/handwriting-recognitionocr
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  ## Training procedure
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  ### Training hyperparameters
@@ -51,7 +59,6 @@ The following hyperparameters were used during training:
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  | 0.2521 | 2.0 | 5000 | 0.2767 | 0.0483 |
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  | 0.1049 | 3.0 | 7500 | 0.2470 | 0.0360 |
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  ### Framework versions
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  - Transformers 4.26.0
 
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  Dataset Source: https://www.kaggle.com/datasets/ssarkar445/handwriting-recognitionocr
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+ _Character Length for Training Dataset:_
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+ ![Input Character Length for Training Dataset](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Optical%20Character%20Recognition%20(OCR)/Handwriting%20Recognition/Images/Input%20Character%20Length%20Distribution%20for%20Training%20Dataset.png)
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+ _Character Length for Evaluation Dataset:_
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+ ![Input Character Length for Evaluation Dataset](https://github.com/DunnBC22/Vision_Audio_and_Multimodal_Projects/raw/main/Optical%20Character%20Recognition%20(OCR)/Handwriting%20Recognition/Images/Input%20Characgter%20Length%20Distribution%20for%20Evaluation%20Dataset.png)
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  ## Training procedure
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  ### Training hyperparameters
 
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  | 0.2521 | 2.0 | 5000 | 0.2767 | 0.0483 |
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  | 0.1049 | 3.0 | 7500 | 0.2470 | 0.0360 |
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  ### Framework versions
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  - Transformers 4.26.0