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@@ -68,18 +68,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- |Epoch|Training Loss|Validation Loss|Accuracy|F1|Precision|Precision|
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  |----|-------|-------|-------|-------|-------|-------|
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- |1|0.389900 |0.397857 |0.827133 |0.699620 |0.786325 |0.630137 |
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- |2|0.064400 |0.544625 |0.831510 |0.707224 |0.794872 |0.636986 |
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- |3|0.004800 |0.837723 |0.818381 |0.704626 |0.733333 |0.678082 |
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- |4|0.000500 |1.045066 |0.820569 | 0.702899 |0.746154 |0.664384 |
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- |5|0.000200 |1.172727 |0.805252 |0.669145 |0.731707 |0.616438 |
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- |6|0.000200 |1.202422 |0.827133 |0.720848 |0.744526 |0.698630 |
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- |7|0.000000 |1.195012 |0.827133 |0.718861 |0.748148 |0.691781 |
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- |8|0.000100 |1.215515 |0.824945 |0.705882 |0.761905 |0.657534 |
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- |9|0.000100|1.233099 |0.827133 |0.710623 |0.763780 |0.664384 |
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- |10|0.000100|1.237268 |0.829322 |0.713235 |0.769841 |0.664384 |
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  ### Framework versions
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  ### Training results
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+ |Epoch|Training Loss|Validation Loss|Accuracy|F1|Precision||
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  |----|-------|-------|-------|-------|-------|-------|
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+ |1|0.389900 |0.397857 |0.827133 |0.699620 |0.786325 |
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+ |2|0.064400 |0.544625 |0.831510 |0.707224 |0.794872 |
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+ |3|0.004800 |0.837723 |0.818381 |0.704626 |0.733333 |
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+ |4|0.000500 |1.045066 |0.820569 | 0.702899 |0.746154 |
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+ |5|0.000200 |1.172727 |0.805252 |0.669145 |0.731707 |
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+ |6|0.000200 |1.202422 |0.827133 |0.720848 |0.744526 |
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+ |7|0.000000 |1.195012 |0.827133 |0.718861 |0.748148 |
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+ |8|0.000100 |1.215515 |0.824945 |0.705882 |0.761905 |
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+ |9|0.000100|1.233099 |0.827133 |0.710623 |0.763780 |
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+ |10|0.000100|1.237268 |0.829322 |0.713235 |0.769841 |
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  ### Framework versions
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