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Update README.md
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README.md
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@@ -6,11 +6,11 @@ The classifier is based on google/canine-s, therefore, character-based. Thus, ke
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After fine-tuning, the model these achieved these scores in the test set:
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Accuracy: 0.82174688057041
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Precision: 0.8252264610535646
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Recall: 0.8259560973518955
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F1 Macro: 0.820257587240921
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F1 Micro: 0.82174688057041
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---
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license: cc-by-4.0
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After fine-tuning, the model these achieved these scores in the test set:
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* Accuracy: 0.82174688057041
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* Precision: 0.8252264610535646
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* Recall: 0.8259560973518955
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* F1 Macro: 0.820257587240921
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* F1 Micro: 0.82174688057041
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---
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license: cc-by-4.0
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