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@@ -68,27 +68,6 @@ The following hyperparameters were used during training:
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  - num_epochs: 8
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  ### Training results
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- Epoch Training Loss Validation Loss Accuracy F1 Precision Recall
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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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  |Epoch|Training Loss|Validation Loss|Accuracy|F1|Precision|Precision|
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  |----|-------|-------|-------|-------|-------|-------|
 
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  - num_epochs: 8
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  ### Training results
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  |Epoch|Training Loss|Validation Loss|Accuracy|F1|Precision|Precision|
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  |----|-------|-------|-------|-------|-------|-------|