Finetuning/reports/resnet50-retain.csv

1	accuracy,macro_precision,macro_recall,macro_f1,weighted_precision,weighted_recall,weighted_f1,
2	0.9474,0.9605,0.9474,0.9459,0.9605,0.9474,0.9459
3	0.9123,0.9395,0.9123,0.9064,0.9395,0.9123,0.9064
4	0.9298,0.9526,0.9298,0.9244,0.9526,0.9298,0.9244
5	0.8596,0.9000,0.8596,0.8553,0.9000,0.8596,0.8553
6	0.9123,0.9298,0.9123,0.9103,0.9298,0.9123,0.9103
7	0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
8	0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
9	0.8947,0.9272,0.8947,0.8960,0.9272,0.8947,0.8960
10	1.0000,1.0000,1.0000,1.0000,1.0000,1.0000,1.0000
11	0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
12	0.8772,0.9132,0.8772,0.8650,0.9132,0.8772,0.8650
13	0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
14	0.9123,0.9342,0.9123,0.9045,0.9342,0.9123,0.9045
15	0.9298,0.9605,0.9298,0.9328,0.9605,0.9298,0.9328
16	0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
17	0.9298,0.9430,0.9298,0.9283,0.9430,0.9298,0.9283
18	0.9298,0.9474,0.9298,0.9278,0.9474,0.9298,0.9278
19	0.9649,0.9737,0.9649,0.9639,0.9737,0.9649,0.9639
20	0.9298,0.9474,0.9298,0.9278,0.9474,0.9298,0.9278
21	0.8947,0.9316,0.8947,0.8902,0.9316,0.8947,0.8902