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@@ -14,6 +14,7 @@ metrics:
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  - f1
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  - recall
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  - precision
 
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  pipeline_tag: token-classification
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  ---
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@@ -33,15 +34,15 @@ It achieves the following results on the evaluation set:
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  ## Model description
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- More information needed
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  ## Intended uses & limitations
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- More information needed
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  ## Training and evaluation data
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- More information needed
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  ## Training procedure
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  - f1
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  - recall
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  - precision
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+ - seqeval
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  pipeline_tag: token-classification
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  ---
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  ## Model description
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+ For more information on how it was created, check out the following link: https://github.com/DunnBC22/NLP_Projects/blob/main/Token%20Classification/Monolingual/WikiNeural%20-%20Transformer%20Comparison/POS%20Project%20with%20Wikineural%20Dataset%20-%20BERT-Base%20Transformer.ipynb
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  ## Intended uses & limitations
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+ This model is intended to demonstrate my ability to solve a complex problem using technology.
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  ## Training and evaluation data
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+ Dataset Source: https://huggingface.co/datasets/Babelscape/wikineural
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  ## Training procedure
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