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@@ -3,4 +3,17 @@ datasets:
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  - niltheory/ExistenceTypes
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  language:
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  - en
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - niltheory/ExistenceTypes
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  language:
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  - en
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+ ---
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+
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+ Iteration #1:
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+ base distilBert used to train the model with a data training of 96.
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+ Iteration #2:
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+ Increased the data training from 96 to 296.
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+ Which greatly increased the accuracy scores, albeit there is some edge cases.
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+ Iteration #3:
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+ Switched from bert-base-uncased to bert-large-cased-whole-word-masking.
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+ Which it has more contextual sensitivity and is slightly more accurate than Iteration #2.
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+ It's overall more nuanced and sensitive.