Training in progress, step 378250

eval/CrossEncoderClassificationEvaluator_test_cls_results.csv

@@ -1483,3 +1483,35 @@ epoch,steps,Accuracy,Accuracy_Threshold,F1,F1_Threshold,Precision,Recall,Average
 48.90945142101785,370000,0.8445204043791619,0.49804688,0.8281203869331898,0.44921875,0.775828967492109,0.8879702048417132,0.8876292479241369
 48.90945142101785,370000,0.8427306879927766,0.47460938,0.8267271458478715,0.4453125,0.7776173285198555,0.8824581005586593,0.8893472161600913
 48.90945142101785,370000,0.8431015301268925,0.48046875,0.8268005540166206,0.44335938,0.7725008087997411,0.8893109869646183,0.8882776503633175
+49.04163912756114,371000,0.8446655165185986,0.49804688,0.8277924485405991,0.45507812,0.7802907915993538,0.8814525139664805,0.8875861530473114
+49.04163912756114,371000,0.8429080472743103,0.47851562,0.8271058071464555,0.4453125,0.7750431357228896,0.8866666666666667,0.888294753447367
+49.04163912756114,371000,0.8429564179874559,0.48046875,0.8270347820001399,0.44726562,0.7798785718999538,0.8802607076350093,0.8893638147048661
+49.04163912756114,371000,0.8431015301268925,0.49804688,0.8278929142716518,0.45898438,0.783947534871334,0.8770577281191806,0.8903487411762553
+49.17382683410443,372000,0.8444075393818223,0.49804688,0.8277798966748726,0.44726562,0.7743253762324858,0.8891620111731844,0.8876187097085186
+49.17382683410443,372000,0.8431337772689895,0.49414062,0.8269911969978606,0.44921875,0.7814156945917285,0.8782122905027933,0.8893021582796946
+49.17382683410443,372000,0.8432627658373777,0.49023438,0.8274351786965662,0.45507812,0.7811776381078399,0.8795158286778398,0.8904305858556376
+49.17382683410443,372000,0.8427951822769707,0.4765625,0.8268696599978904,0.45703125,0.7830647309536495,0.8758659217877095,0.8882765865069611
+49.30601454064772,373000,0.8432305186952807,0.49804688,0.8276524747112982,0.453125,0.7794596729079601,0.88219739292365,0.8904559268363572
+49.30601454064772,373000,0.8430209122716499,0.48632812,0.8268621030199075,0.44335938,0.7730586062785499,0.8887150837988826,0.8883870860164039
+49.30601454064772,373000,0.8428596765611648,0.49414062,0.8271831108784786,0.4453125,0.7781060233054324,0.8828677839851025,0.8893781106445422
+49.30601454064772,373000,0.8444236629528709,0.49414062,0.8276981718077223,0.46484375,0.7865047957609498,0.8734450651769088,0.8875829887433532
+49.438202247191015,374000,0.8432305186952807,0.4921875,0.8278253559606998,0.45507812,0.7813150847961916,0.8802234636871509,0.8904559304156632
+49.438202247191015,374000,0.8428758001322133,0.484375,0.8269584245076586,0.44726562,0.7801816680429398,0.8797020484171322,0.8893562491146768
+49.438202247191015,374000,0.842682317279631,0.4765625,0.8269264341328865,0.45117188,0.7782597266035752,0.8820856610800745,0.8882661029965572
+49.438202247191015,374000,0.8449073700843263,0.5,0.8275923106878607,0.46679688,0.7885912832276346,0.8706517690875233,0.8875808786213203
+49.570389953734306,375000,0.8432466422663292,0.4921875,0.8279058336112914,0.45703125,0.783050509746621,0.8782122905027933,0.8903207373466221
+49.570389953734306,375000,0.8429080472743103,0.47460938,0.8269687874108647,0.4453125,0.7740929613148407,0.8875977653631285,0.888200091551145
+49.570389953734306,375000,0.8444720336660163,0.49414062,0.8280796818284444,0.44921875,0.7758143772983176,0.8878957169459962,0.8875089816684649
+49.570389953734306,375000,0.8429402944164074,0.48632812,0.8269701419481155,0.44726562,0.7792383211438361,0.8809310986964618,0.8893290018874073
+49.7025776602776,376000,0.8428758001322133,0.48828125,0.826854384833859,0.44335938,0.7768900821846043,0.8836871508379889,0.8893074301475279
+49.7025776602776,376000,0.8444397865239193,0.49804688,0.8279708887432933,0.46679688,0.7892178374911386,0.8707262569832402,0.8874937695488916
+49.7025776602776,376000,0.8427306879927766,0.48632812,0.8270694990091436,0.44726562,0.7754922414917199,0.8859962756052141,0.8882375792807183
+49.7025776602776,376000,0.8433272601215718,0.49609375,0.8274634367691718,0.45117188,0.7785733053074093,0.8829050279329609,0.8903653375071767
+49.83476536682089,377000,0.8444881572370648,0.49609375,0.8279440700691288,0.45117188,0.7774616566925013,0.8854376163873371,0.8874444333214789
+49.83476536682089,377000,0.8429564179874559,0.48046875,0.827096818858389,0.44335938,0.7725685463010864,0.8899068901303538,0.8882528694808512
+49.83476536682089,377000,0.8432466422663292,0.47851562,0.8274833798172218,0.45703125,0.7820882655260453,0.8784729981378026,0.890376552166171
+49.83476536682089,377000,0.8429886651295528,0.48828125,0.8270228579441875,0.44921875,0.7811775614279092,0.878584729981378,0.8893819925815482
+49.96695307336418,378000,0.8428758001322133,0.48242188,0.8267733182987421,0.45898438,0.7845058178413802,0.873854748603352,0.8881292384088879
+49.96695307336418,378000,0.843117653697941,0.49023438,0.8279346210995543,0.453125,0.7801350683577665,0.8819739292364991,0.8904024539266113
+49.96695307336418,378000,0.8444881572370648,0.49609375,0.8279186753301194,0.45507812,0.7795539767120584,0.88268156424581,0.8874376400168319
+49.96695307336418,378000,0.8429241708453589,0.484375,0.8270195133109286,0.453125,0.7838108261348097,0.875270018621974,0.8892591606975325

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3630deec2093757aa01354c7123c648a94b57828657a085e1ee7dcac8844bfc0
+oid sha256:ad87c550a0751c8b5d137ed071270559dfd5cbf651c04185cbb6d99c16fb7285
 size 299225554