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@@ -31,15 +31,18 @@ This model is a fine-tuned version of [google/efficientnet-b5](https://huggingfa
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9410
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  - Accuracy: 0.8020
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- - Weighted f1: 0.7736
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- - Micro f1: 0.8020
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- - Macro f1: 0.7802
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- - Weighted recall: 0.8020
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- - Micro recall: 0.8020
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- - Macro recall: 0.7977
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- - Weighted precision: 0.8535
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- - Micro precision: 0.8020
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- - Macro precision: 0.8682
 
 
 
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  <div style="text-align: center;">
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  <h2>
@@ -93,7 +96,7 @@ 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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  | 1.3872 | 1.0 | 180 | 1.0601 | 0.6853 | 0.6485 | 0.6853 | 0.6550 | 0.6853 | 0.6853 | 0.6802 | 0.8177 | 0.6853 | 0.8330 |
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  | 1.3872 | 2.0 | 360 | 0.9533 | 0.7843 | 0.7483 | 0.7843 | 0.7548 | 0.7843 | 0.7843 | 0.7819 | 0.8354 | 0.7843 | 0.8471 |
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.9410
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  - Accuracy: 0.8020
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+ - F1
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+ - Weighted: 0.7736
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+ - Micro: 0.8020
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+ - Macro: 0.7802
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+ - Recall
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+ - Weighted: 0.8020
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+ - Micro: 0.8020
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+ - Macro: 0.7977
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+ - Precision
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+ - Weighted: 0.8535
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+ - Micro: 0.8020
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+ - Macro: 0.8682
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  <div style="text-align: center;">
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  <h2>
 
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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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  | 1.3872 | 1.0 | 180 | 1.0601 | 0.6853 | 0.6485 | 0.6853 | 0.6550 | 0.6853 | 0.6853 | 0.6802 | 0.8177 | 0.6853 | 0.8330 |
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  | 1.3872 | 2.0 | 360 | 0.9533 | 0.7843 | 0.7483 | 0.7843 | 0.7548 | 0.7843 | 0.7843 | 0.7819 | 0.8354 | 0.7843 | 0.8471 |