rafaelm47labs
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Update README.md
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README.md
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@@ -150,26 +150,23 @@ A more in depth example on how to use the model can be found in this colab noteb
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## Validation Results
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n_examples : 100
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Accuracy Score = 0.35
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Precision (Macro) = 0.35
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Recall (Macro) = 0.16228956228956226
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n_examples : 500
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Accuracy Score = 0.62
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Precision (Macro) = 0.6064014202172097
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Recall (Macro) = 0.46789055973266497
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n_examples : 1000
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Accuracy Score = 0.6777777777777778
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Precision(Micro) = 0.6777777777777778
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Recall (Macro) = 0.6409636098344376
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![alt text](https://media-exp1.licdn.com/dms/image/C4D0BAQHpfgjEyhtE1g/company-logo_200_200/0/1625210573748?e=1638403200&v=beta&t=toQNpiOlyim5Ja4f7Ejv8yKoCWifMsLWjkC7XnyXICI "Logo M47")
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## Validation Results
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* n_examples : 100
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* Accuracy Score = 0.35
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* Precision (Macro) = 0.35
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* Recall (Macro) = 0.16228956228956226
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* n_examples : 500
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* Accuracy Score = 0.62
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* Precision (Macro) = 0.6064014202172097
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* Recall (Macro) = 0.46789055973266497
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* n_examples : 1000
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* Accuracy Score = 0.6777777777777778
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* Precision(Micro) = 0.6777777777777778
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* Recall (Macro) = 0.6409636098344376
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![alt text](https://media-exp1.licdn.com/dms/image/C4D0BAQHpfgjEyhtE1g/company-logo_200_200/0/1625210573748?e=1638403200&v=beta&t=toQNpiOlyim5Ja4f7Ejv8yKoCWifMsLWjkC7XnyXICI "Logo M47")
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