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eval/CrossEncoderClassificationEvaluator_paws-hard-val_results.csv

@@ -0,0 +1,4 @@
+epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average_Precision
+1.0,789,0.9423076923076923,0.7202343,0.9363128491620112,0.46299475,0.9148471615720524,0.9588100686498856,0.9705172890541769
+2.0,1578,0.9504048582995951,0.36356968,0.9448818897637796,0.36356968,0.9292035398230089,0.9610983981693364,0.9644000483760211
+3.0,2367,0.951417004048583,0.0718316,0.945945945945946,0.0718316,0.9312638580931264,0.9610983981693364,0.959526541262605

eval/CrossEncoderClassificationEvaluator_paws-val-judge_results.csv

@@ -0,0 +1,4 @@
+epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average_Precision
+1.0,2700,0.9576923076923077,0.4346096,0.9530864197530864,0.39017615,0.934419014084507,0.9725148877691251,0.9822901295509904
+2.0,5400,0.9629554655870445,0.43678224,0.9587373167981961,0.31757024,0.9440497335701599,0.9738891433806688,0.9866194898060632
+3.0,8100,0.9633603238866397,0.02521687,0.9593167003821084,0.02321031,0.941747572815534,0.9775538250114522,0.9876169147604223