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@@ -49,28 +49,6 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5653 | 0.15 | 100 | 0.4640 | 0.8293 | 0.8162 |
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- | 0.5231 | 0.3 | 200 | 0.3839 | 0.8509 | 0.8542 |
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- | 0.4908 | 0.46 | 300 | 0.3755 | 0.8545 | 0.8580 |
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- | 0.4285 | 0.61 | 400 | 0.4072 | 0.8509 | 0.8562 |
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- | 0.4002 | 0.76 | 500 | 0.3370 | 0.8646 | 0.8672 |
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- | 0.3754 | 0.91 | 600 | 0.3175 | 0.8890 | 0.8878 |
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- | 0.3276 | 1.06 | 700 | 0.3481 | 0.8948 | 0.8931 |
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- | 0.2462 | 1.21 | 800 | 0.3259 | 0.8905 | 0.8909 |
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- | 0.2321 | 1.37 | 900 | 0.3405 | 0.8775 | 0.8801 |
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- | 0.2177 | 1.52 | 1000 | 0.3446 | 0.8941 | 0.8932 |
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- | 0.2467 | 1.67 | 1100 | 0.3743 | 0.8833 | 0.8854 |
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- | 0.189 | 1.82 | 1200 | 0.4024 | 0.8955 | 0.8955 |
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- | 0.2254 | 1.97 | 1300 | 0.3965 | 0.8869 | 0.8862 |
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- | 0.1129 | 2.12 | 1400 | 0.4883 | 0.8912 | 0.8928 |
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- | 0.0747 | 2.28 | 1500 | 0.4643 | 0.8984 | 0.8993 |
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- | 0.0984 | 2.43 | 1600 | 0.4820 | 0.9020 | 0.9025 |
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- | 0.0937 | 2.58 | 1700 | 0.4642 | 0.8991 | 0.8993 |
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- | 0.1109 | 2.73 | 1800 | 0.4563 | 0.8984 | 0.8994 |
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- | 0.084 | 2.88 | 1900 | 0.4441 | 0.9042 | 0.9046 |
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  ### Framework versions
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  ### Training results
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  ### Framework versions
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