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@@ -56,17 +56,25 @@ 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 Recal
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  1 0.398400 0.336709 0.861404 0.855311 0.872897 0.838420
 
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  2 0.136100 0.575872 0.846491 0.854772 0.794753 0.924596
 
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  3 0.105600 0.800685 0.848246 0.837863 0.876471 0.802513
 
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  4 0.066500 0.928388 0.849123 0.856187 0.801252 0.919210
 
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  5 0.004500 0.990655 0.851754 0.853680 0.824415 0.885099
 
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  6 0.005500 1.035315 0.852632 0.856164 0.818331 0.897666
 
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  7 0.000200 1.052970 0.857895 0.859375 0.831933 0.888689
 
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  8 0.001700 1.048338 0.856140 0.857143 0.832487 0.883303
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  ### Framework versions
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  - Transformers 4.17.0
 
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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 0.398400 0.336709 0.861404 0.855311 0.872897 0.838420
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  2 0.136100 0.575872 0.846491 0.854772 0.794753 0.924596
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+
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  3 0.105600 0.800685 0.848246 0.837863 0.876471 0.802513
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+
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  4 0.066500 0.928388 0.849123 0.856187 0.801252 0.919210
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+
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  5 0.004500 0.990655 0.851754 0.853680 0.824415 0.885099
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+
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  6 0.005500 1.035315 0.852632 0.856164 0.818331 0.897666
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+
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  7 0.000200 1.052970 0.857895 0.859375 0.831933 0.888689
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+
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  8 0.001700 1.048338 0.856140 0.857143 0.832487 0.883303
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  ### Framework versions
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  - Transformers 4.17.0