Training in progress, step 3468

eval/binary_classification_evaluation_Qnli-dev-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
 2.6840588065724993,3105,0.7604166666666666,0.8131809234619141,0.7472527472527473,0.7391304347826086,0.7555555555555555,0.8131809234619141,0.7294142879961815,0.5196956286732294
 2.783511098299222,3220,0.75,0.8225451707839966,0.7307692307692307,0.6440677966101694,0.8444444444444444,0.771614670753479,0.7230091911866918,0.443640346380261
 2.882963390025944,3335,0.7395833333333334,0.8069590926170349,0.7346938775510203,0.6792452830188679,0.8,0.7887691855430603,0.7280529987444515,0.4683019469005233
+2.9824156817526664,3450,0.75,0.8062357902526855,0.7346938775510203,0.6792452830188679,0.8,0.7883917093276978,0.7264048694896232,0.4683019469005233

eval/binary_classification_evaluation_Qnli-dev_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
 2.6840588065724993,3105,0.7395833333333334,0.6778663396835327,0.7474747474747475,0.6851851851851852,0.8222222222222222,0.6778663396835327,0.7383852871915464,0.49179033209958445
 2.783511098299222,3220,0.7395833333333334,0.6788296699523926,0.7474747474747475,0.6851851851851852,0.8222222222222222,0.6788296699523926,0.7391945597236658,0.49179033209958445
 2.882963390025944,3335,0.7395833333333334,0.6788849234580994,0.7474747474747475,0.6851851851851852,0.8222222222222222,0.6788849234580994,0.7252562031171012,0.49179033209958445
+2.9824156817526664,3450,0.7395833333333334,0.6786359548568726,0.7474747474747475,0.6851851851851852,0.8222222222222222,0.6786359548568726,0.7363673142282123,0.49179033209958445

eval/similarity_evaluation_sts-test-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_pearson,cosine_spearman
 2.6840588065724993,3105,0.895371443376022,0.916689266506397
 2.783511098299222,3220,0.8933561126200483,0.9175349654064678
 2.882963390025944,3335,0.8941024117424509,0.918239225646565
+2.9824156817526664,3450,0.8941638363707607,0.918650397173446

eval/similarity_evaluation_sts-test_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_pearson,cosine_spearman
 2.6840588065724993,3105,0.9098255157403623,0.922598838781779
 2.783511098299222,3220,0.9114676822263268,0.9235468145623141
 2.882963390025944,3335,0.9113163426176714,0.9236895568044069
+2.9824156817526664,3450,0.9113606895841566,0.9235945039415218

eval/triplet_evaluation_allNLI--triplets-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,accuracy_cosine
 2.6840588065724993,3105,0.9479166865348816
 2.783511098299222,3220,0.9479166865348816
 2.882963390025944,3335,0.9375
+2.9824156817526664,3450,0.9375

eval/triplet_evaluation_allNLI-triplets_results.csv

@@ -28,3 +28,4 @@ epoch,steps,accuracy_cosine
 2.6840588065724993,3105,0.9479166865348816
 2.783511098299222,3220,0.9479166865348816
 2.882963390025944,3335,0.9479166865348816
+2.9824156817526664,3450,0.9479166865348816

runs/Apr26_00-11-16_c31ed588ce90/events.out.tfevents.1745626278.c31ed588ce90.31.0

@@ -1,3 +1,3 @@
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-size 785473
+oid sha256:349c46c1de72d61f97edd454c481dec16804f85b68a9f6b13e70e7f85865401c
+size 794526