Training in progress, step 10000

eval/CrossEncoderClassificationEvaluator_test_results.csv

@@ -35,3 +35,7 @@ epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average
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 1.6363636363636362,9000,0.8690766030860515,0.43993098,0.8535720680393912,0.3959081,0.8219310344827586,0.8877467411545624,0.9260195203341426
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+1.8181818181818183,10000,0.8749133358056143,0.5481511,0.8588983353575765,0.4497423,0.8251767451437985,0.8954934823091247,0.9324216883749573
+1.8181818181818183,10000,0.8693184566517792,0.52838796,0.8526105199794628,0.41864955,0.8125738197280059,0.8967970204841713,0.9275473754509846
+1.8181818181818183,10000,0.87159188016962,0.46429127,0.855096518130976,0.39509025,0.8292162351294612,0.8826443202979516,0.930142212624658
+1.8181818181818183,10000,0.8709953080408249,0.6522261,0.8547889509067889,0.58021647,0.8200294248468881,0.8926256983240224,0.9266760207222747

model.safetensors

@@ -1,3 +1,3 @@
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