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@@ -14,18 +14,18 @@ Used half of the train dataset
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  # Training parameters
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- 2 epochs \
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- train batch size = 8 \
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- eval batch size = 8 \
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- gradient accumulation steps = 4 \
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- learning rate = 5e-5 without warm up and decay
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  # Metrics
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- Achieved \
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- accuracy = 0.86 \
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- balanced = 0.76 \
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- macro f1 score = 0.81 \
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  on test set, improving accucary and f1 score compared to dataset baseline
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  # Usage
 
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  # Training parameters
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+ - 2 epochs
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+ - train batch size = 8
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+ - eval batch size = 8
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+ - gradient accumulation steps = 4
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+ - learning rate = 5e-5 without warm up and decay
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  # Metrics
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+ Achieved
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+ - accuracy = 0.86
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+ - balanced = 0.76
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+ - macro f1 score = 0.81
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  on test set, improving accucary and f1 score compared to dataset baseline
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  # Usage