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@@ -59,15 +59,15 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 | Accuracy | Precision | Recall |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|:------:|
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- | 0.4992 | 1.0 | 876 | 0.8921 | 0.8978 | 0.2831 | 0.8530 | 0.9475 |
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- | 0.2706 | 2.0 | 1752 | 0.9038 | 0.9057 | 0.2446 | 0.8881 | 0.9241 |
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- | 0.2494 | 3.0 | 2628 | 0.9095 | 0.9114 | 0.2370 | 0.8927 | 0.9309 |
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- | 0.2393 | 4.0 | 3504 | 0.9112 | 0.9140 | 0.2385 | 0.8863 | 0.9435 |
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- | 0.2306 | 5.0 | 4380 | 0.9124 | 0.9152 | 0.2380 | 0.8870 | 0.9452 |
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- | 0.229 | 6.0 | 5256 | 0.2405 | 0.9121 | 0.9152 | 0.8836 | 0.9492 |
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- | 0.2255 | 7.0 | 6132 | 0.2377 | 0.9138 | 0.9165 | 0.8889 | 0.9458 |
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  ### Framework versions
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | 0.4992 | 1.0 | 876 | 0.8921 | 0.8978 | 0.2831 | 0.8530 | 0.9475 |
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+ | 0.2706 | 2.0 | 1752 | 0.9038 | 0.9057 | 0.2446 | 0.8881 | 0.9241 |
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+ | 0.2494 | 3.0 | 2628 | 0.9095 | 0.9114 | 0.2370 | 0.8927 | 0.9309 |
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+ | 0.2393 | 4.0 | 3504 | 0.9112 | 0.9140 | 0.2385 | 0.8863 | 0.9435 |
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+ | 0.2306 | 5.0 | 4380 | 0.9124 | 0.9152 | 0.2380 | 0.8870 | 0.9452 |
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+ | 0.229 | 6.0 | 5256 | 0.2405 | 0.9121 | 0.9152 | 0.8836 | 0.9492 |
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+ | 0.2255 | 7.0 | 6132 | 0.2377 | 0.9138 | 0.9165 | 0.8889 | 0.9458 |
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  ### Framework versions