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README.md
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- niltheory/ExistenceTypes
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language:
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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.
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