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@@ -68,7 +68,7 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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  | 0.7426 | 1.0 | 133 | 0.3820 | 0.8803 | 0.8636 | 0.8803 | 0.6690 | 0.8803 | 0.8803 | 0.6809 | 0.8862 | 0.8803 | 0.8992 |
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  | 0.332 | 2.0 | 266 | 0.3083 | 0.9007 | 0.8987 | 0.9007 | 0.8525 | 0.9007 | 0.9007 | 0.8402 | 0.9015 | 0.9007 | 0.8705 |
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
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  | 0.7426 | 1.0 | 133 | 0.3820 | 0.8803 | 0.8636 | 0.8803 | 0.6690 | 0.8803 | 0.8803 | 0.6809 | 0.8862 | 0.8803 | 0.8992 |
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  | 0.332 | 2.0 | 266 | 0.3083 | 0.9007 | 0.8987 | 0.9007 | 0.8525 | 0.9007 | 0.9007 | 0.8402 | 0.9015 | 0.9007 | 0.8705 |