Training in progress, step 2943

eval/binary_classification_evaluation_Qnli-dev-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
 2.6972477064220186,2646,0.7291666666666666,0.8087142109870911,0.7179487179487181,0.5833333333333334,0.9333333333333333,0.6551511287689209,0.7557593703190841,0.397705839334203
 2.797145769622834,2744,0.7395833333333334,0.7571010589599609,0.723404255319149,0.6938775510204082,0.7555555555555555,0.7475010752677917,0.7504622260499265,0.46063575594147665
 2.897043832823649,2842,0.7291666666666666,0.7575306296348572,0.7142857142857142,0.660377358490566,0.7777777777777778,0.7346500158309937,0.7439778731668312,0.4263253018001963
+2.996941896024465,2940,0.71875,0.7791458368301392,0.7142857142857142,0.660377358490566,0.7777777777777778,0.7359820604324341,0.7433236888226635,0.4263253018001963

eval/binary_classification_evaluation_Qnli-dev_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_accuracy,cosine_accuracy_threshold,cosine_f1,cosine_precision
 2.6972477064220186,2646,0.71875,0.7260158061981201,0.7339449541284404,0.625,0.8888888888888888,0.6138423681259155,0.7399947312668047,0.4428074427700477
 2.797145769622834,2744,0.7291666666666666,0.6713130474090576,0.7256637168141592,0.6029411764705882,0.9111111111111111,0.5859470963478088,0.7399770165919752,0.419062972501429
 2.897043832823649,2842,0.7291666666666666,0.6697263717651367,0.7256637168141592,0.6029411764705882,0.9111111111111111,0.5878369808197021,0.7410436810871419,0.419062972501429
+2.996941896024465,2940,0.7291666666666666,0.6696478128433228,0.7256637168141592,0.6029411764705882,0.9111111111111111,0.5875690579414368,0.7404581844145417,0.419062972501429

eval/similarity_evaluation_sts-test-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_pearson,cosine_spearman
 2.6972477064220186,2646,0.8911116976425595,0.9133837081466986
 2.797145769622834,2744,0.8939745372812724,0.9148932562411601
 2.897043832823649,2842,0.8948788156897003,0.9161429026505324
+2.996941896024465,2940,0.8952433054782276,0.9163154100176888

eval/similarity_evaluation_sts-test_results.csv

@@ -28,3 +28,4 @@ epoch,steps,cosine_pearson,cosine_spearman
 2.6972477064220186,2646,0.906324200031563,0.9208139632804799
 2.797145769622834,2744,0.9070974288417767,0.9217502611378607
 2.897043832823649,2842,0.9074720804711505,0.922284621175041
+2.996941896024465,2940,0.907528417850776,0.9223293774944795

eval/triplet_evaluation_allNLI--triplets-1024_results.csv

@@ -28,3 +28,4 @@ epoch,steps,accuracy_cosine
 2.6972477064220186,2646,0.9583333134651184
 2.797145769622834,2744,0.9583333134651184
 2.897043832823649,2842,0.9583333134651184
+2.996941896024465,2940,0.9583333134651184

eval/triplet_evaluation_allNLI-triplets_results.csv

@@ -28,3 +28,4 @@ epoch,steps,accuracy_cosine
 2.6972477064220186,2646,0.96875
 2.797145769622834,2744,0.96875
 2.897043832823649,2842,0.96875
+2.996941896024465,2940,0.96875

runs/Apr26_07-23-07_01547127b590/events.out.tfevents.1745652190.01547127b590.19.0

@@ -1,3 +1,3 @@
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-size 675754
+oid sha256:8e03d6cd17d74805fcd4abba4908a1cdef1f1707ea9884bde44bf77616cf3193
+size 683752