quora-distilbert-multilingual-lcqmc-sfa-hr/eval/binary_classification_evaluation_results.csv

1	epoch	steps	cossim_accuracy	cossim_accuracy_threshold	cossim_f1	cossim_precision	cossim_recall	cossim_f1_threshold	cossim_ap	manhatten_accuracy	manhatten_accuracy_threshold	manhatten_f1	manhatten_precision	manhatten_recall	manhatten_f1_threshold	manhatten_ap	euclidean_accuracy	euclidean_accuracy_threshold	euclidean_f1	euclidean_precision	euclidean_recall	euclidean_f1_threshold	euclidean_ap	dot_accuracy	dot_accuracy_threshold	dot_f1	dot_precision	dot_recall	dot_f1_threshold	dot_ap
2	0	-1	0.8785046728971962	0.7153000831604004	0.7941176470588236	0.675	0.9642857142857143	0.5783578157424927	0.7578364440157217	0.8878504672897196	138.98406982421875	0.793103448275862	0.7666666666666667	0.8214285714285714	143.1756591796875	0.7458732145200913	0.8878504672897196	6.292994499206543	0.7868852459016394	0.7272727272727273	0.8571428571428571	6.918923377990723	0.7407456621713792	0.8504672897196262	50.74915313720703	0.7605633802816901	0.627906976744186	0.9642857142857143	38.95372009277344	0.7650624140372936
3	1	-1	0.8785046728971962	0.7153072357177734	0.7941176470588236	0.675	0.9642857142857143	0.5788319110870361	0.7584630104317618	0.8878504672897196	139.05062866210938	0.793103448275862	0.7666666666666667	0.8214285714285714	143.0370635986328	0.7458732145200913	0.8878504672897196	6.295968055725098	0.7868852459016394	0.7272727272727273	0.8571428571428571	6.918813705444336	0.7407456621713792	0.8504672897196262	50.75468444824219	0.7605633802816901	0.627906976744186	0.9642857142857143	38.996490478515625	0.7661446651195446
4	2	-1	0.8785046728971962	0.7151119709014893	0.7941176470588236	0.675	0.9642857142857143	0.5796480178833008	0.7584630104317618	0.8878504672897196	139.16299438476562	0.793103448275862	0.7666666666666667	0.8214285714285714	142.8717803955078	0.7458732145200913	0.8878504672897196	6.300694942474365	0.7868852459016394	0.7272727272727273	0.8571428571428571	6.920260906219482	0.7420011467777131	0.8598130841121495	49.97108459472656	0.7605633802816901	0.627906976744186	0.9642857142857143	39.10533142089844	0.7690771274598031
5	3	-1	0.8785046728971962	0.7149893045425415	0.7941176470588236	0.675	0.9642857142857143	0.5805591344833374	0.7584630104317618	0.8878504672897196	139.26937866210938	0.793103448275862	0.7666666666666667	0.8214285714285714	142.61703491210938	0.7464071490241253	0.897196261682243	6.417535781860352	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.417535781860352	0.743486466982473	0.8598130841121495	50.244720458984375	0.7605633802816901	0.627906976744186	0.9642857142857143	39.23603057861328	0.7700890322217079
6	4	-1	0.8785046728971962	0.7147645950317383	0.7941176470588236	0.675	0.9642857142857143	0.581954836845398	0.7584630104317618	0.897196261682243	140.93128967285156	0.7999999999999999	0.8148148148148148	0.7857142857142857	140.93128967285156	0.746734202922608	0.897196261682243	6.424378871917725	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.424378871917725	0.7439523054917898	0.8598130841121495	50.70547866821289	0.7714285714285715	0.6428571428571429	0.9642857142857143	40.70288848876953	0.7732340939525525
7	5	-1	0.8785046728971962	0.7756680846214294	0.7941176470588236	0.675	0.9642857142857143	0.5837556719779968	0.7596923064980143	0.897196261682243	140.8372802734375	0.8070175438596492	0.7931034482758621	0.8214285714285714	141.61801147460938	0.7476783736943649	0.897196261682243	6.431297302246094	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.431297302246094	0.7439523054917898	0.8598130841121495	51.126739501953125	0.7714285714285715	0.6428571428571429	0.9642857142857143	40.991600036621094	0.7742007199191785
8	6	-1	0.8785046728971962	0.7758897542953491	0.7941176470588236	0.675	0.9642857142857143	0.5853708982467651	0.7596870261600728	0.897196261682243	140.56597900390625	0.8070175438596492	0.7931034482758621	0.8214285714285714	141.67572021484375	0.7482383537839616	0.897196261682243	6.416640281677246	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.416640281677246	0.7472146926888119	0.8598130841121495	53.09589767456055	0.7714285714285715	0.6428571428571429	0.9642857142857143	41.28678894042969	0.7718897142696635
9	7	-1	0.8785046728971962	0.7762866020202637	0.7941176470588236	0.675	0.9642857142857143	0.5878200531005859	0.7596870261600728	0.897196261682243	140.15020751953125	0.8070175438596492	0.7931034482758621	0.8214285714285714	141.2872314453125	0.7510123833437055	0.897196261682243	6.113794326782227	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.399294853210449	0.7495590150331343	0.8598130841121495	53.3231201171875	0.7714285714285715	0.6428571428571429	0.9642857142857143	41.694549560546875	0.7764593657594636
10	8	-1	0.8878504672897196	0.6951338052749634	0.7999999999999999	0.7027027027027027	0.9285714285714286	0.6463806629180908	0.761901030729765	0.897196261682243	139.57412719726562	0.8070175438596492	0.7931034482758621	0.8214285714285714	140.79031372070312	0.7522028595341816	0.897196261682243	6.1220855712890625	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.377052307128906	0.7518712111606615	0.8598130841121495	53.603271484375	0.7714285714285715	0.6428571428571429	0.9642857142857143	42.17536163330078	0.7778469140220119
11	9	-1	0.8878504672897196	0.697858452796936	0.8059701492537313	0.6923076923076923	0.9642857142857143	0.6171824336051941	0.7629305664756872	0.897196261682243	135.81292724609375	0.8070175438596492	0.7931034482758621	0.8214285714285714	140.23594665527344	0.7548442564499593	0.897196261682243	6.1298041343688965	0.7999999999999999	0.8148148148148148	0.7857142857142857	6.352500915527344	0.7539231117088027	0.8598130841121495	53.983299255371094	0.782608695652174	0.6585365853658537	0.9642857142857143	43.110023498535156	0.7775448251460915