mlpractical/report/VGG38_BN/result_outputs/summary.csv

1	train_acc	train_loss	val_acc	val_loss
2	0.027410526315789472	4.440032	0.0368	4.238186
3	0.0440842105263158	4.1909122	0.0644	4.1239405
4	0.05604210526315791	4.0817885	0.0368	4.495799
5	0.0685263157894737	3.984858	0.0964	3.8527937
6	0.08345263157894738	3.8947835	0.09080000000000002	3.8306112
7	0.09391578947368423	3.8246264	0.10399999999999998	3.7504945
8	0.10189473684210527	3.760145	0.1124	3.6439042
9	0.11197894736842108	3.704831	0.0992	3.962508
10	0.12534736842105265	3.6408415	0.1404	3.516474
11	0.1385894736842105	3.5672796	0.1444	3.5242612
12	0.14873684210526317	3.5145628	0.12960000000000002	3.5745378
13	0.16103157894736844	3.4476008	0.1852	3.3353982
14	0.16846315789473681	3.399858	0.15600000000000003	3.453797
15	0.1760210526315789	3.3611393	0.1464	3.5799885
16	0.18625263157894736	3.3005812	0.196	3.201007
17	0.19233684210526317	3.26565	0.17439999999999997	3.397586
18	0.19625263157894737	3.2346153	0.212	3.169959
19	0.20717894736842105	3.174345	0.2132	3.0981174
20	0.2136	3.1425776	0.2036	3.2191591
21	0.2217684210526316	3.094137	0.236	3.0018876
22	0.23069473684210529	3.0539455	0.20440000000000003	3.1800296
23	0.23395789473684211	3.0338168	0.22599999999999998	3.0360818
24	0.24463157894736842	2.9761615	0.2588	2.8876188
25	0.25311578947368424	2.931479	0.2	3.242481
26	0.25795789473684216	2.900163	0.28320000000000006	2.830947
27	0.26789473684210524	2.8484874	0.2768	2.8190458
28	0.2709263157894737	2.833472	0.2352	3.0098538
29	0.2816421052631579	2.7842317	0.29560000000000003	2.7288156
30	0.28764210526315787	2.745757	0.2648	2.8955112
31	0.2930315789473684	2.7276495	0.27680000000000005	2.8336413
32	0.3001263157894737	2.6826382	0.316	2.6245823
33	0.3068421052631579	2.658441	0.27	2.9279957
34	0.30909473684210526	2.638565	0.31160000000000004	2.637653
35	0.3213263157894737	2.5939283	0.31799999999999995	2.627816
36	0.3211157894736843	2.579544	0.25079999999999997	2.9502957
37	0.3259999999999999	2.5540712	0.3332	2.569941
38	0.3336421052631579	2.5239582	0.278	2.7676308
39	0.3371368421052632	2.5109046	0.2916	2.725589
40	0.34404210526315787	2.4714804	0.34120000000000006	2.4782379
41	0.3500631578947368	2.4545348	0.30600000000000005	2.6625924
42	0.34976842105263156	2.4408882	0.342	2.5351026
43	0.3586315789473684	2.4116046	0.3452	2.450749
44	0.3568421052631579	2.4133172	0.3288	2.5647113
45	0.3630947368421052	2.3772728	0.36519999999999997	2.388074
46	0.37069473684210524	2.3505116	0.324	2.5489926
47	0.37132631578947367	2.352426	0.33680000000000004	2.5370462
48	0.37606315789473677	2.319005	0.3712	2.3507965
49	0.3800210526315789	2.3045664	0.33	2.6327293
50	0.38185263157894733	2.2965574	0.3764	2.364877
51	0.38785263157894734	2.269467	0.37799999999999995	2.330837
52	0.3889684210526316	2.26941	0.3559999999999999	2.513778
53	0.3951789473684211	2.2413251	0.3888	2.2839465
54	0.3944421052631579	2.2319226	0.35919999999999996	2.4310353
55	0.4	2.220305	0.3732	2.348543
56	0.4051157894736842	2.1891508	0.39440000000000003	2.2730627
57	0.40581052631578945	2.1873925	0.33399999999999996	2.5648093
58	0.4067789473684211	2.1817088	0.4044	2.2244952
59	0.41555789473684207	2.1543047	0.39759999999999995	2.220972
60	0.4170526315789474	2.14905	0.33399999999999996	2.6612198
61	0.41762105263157895	2.1321266	0.3932	2.2343464
62	0.42341052631578946	2.1131704	0.37800000000000006	2.327929
63	0.4212842105263158	2.112597	0.376	2.3302126
64	0.4295157894736842	2.0925663	0.4100000000000001	2.175698
65	0.4299368421052632	2.0846903	0.3772	2.3750577
66	0.43134736842105265	2.075184	0.4044	2.1888158
67	0.43829473684210524	2.045202	0.41239999999999993	2.1673117
68	0.43534736842105265	2.0590534	0.37440000000000007	2.3269994
69	0.4417684210526316	2.0356588	0.42	2.1668334
70	0.4442736842105263	2.028207	0.41239999999999993	2.2346516
71	0.44581052631578943	2.021492	0.40519999999999995	2.2030904
72	0.44884210526315793	2.0058675	0.4296	2.0948715
73	0.45071578947368424	1.993417	0.39	2.2856123
74	0.45130526315789476	1.9970801	0.43599999999999994	2.110219
75	0.45686315789473686	1.9651922	0.4244	2.1253593
76	0.4557263157894737	1.9701725	0.3704	2.4576838
77	0.4609684210526315	1.956996	0.4412	2.0626938
78	0.4639789473684211	1.9407912	0.398	2.3076272
79	0.46311578947368426	1.9410807	0.4056	2.2181008
80	0.4686736842105263	1.918824	0.45080000000000003	2.030652
81	0.4650315789473684	1.924879	0.3948	2.2926931
82	0.46964210526315786	1.9188553	0.43599999999999994	2.107239
83	0.47357894736842104	1.8991861	0.43119999999999997	2.067097
84	0.47212631578947367	1.8987728	0.41359999999999997	2.1667569
85	0.4773263157894737	1.8892545	0.46	2.0283196
86	0.4802526315789474	1.8736148	0.41960000000000003	2.1698954
87	0.47406315789473685	1.8849738	0.43399999999999994	2.1001608
88	0.48627368421052636	1.8492608	0.45520000000000005	1.9936249
89	0.48589473684210527	1.8534511	0.38439999999999996	2.354954
90	0.48667368421052637	1.8421199	0.44120000000000004	2.0467849
91	0.4902736842105263	1.8265136	0.45519999999999994	2.0044358
92	0.4879789473684211	1.838593	0.3984	2.3019247
93	0.49204210526315795	1.8199797	0.4656	1.9858631
94	0.4945894736842105	1.805858	0.436	2.1293921
95	0.4939578947368421	1.8174701	0.4388	2.0611947
96	0.4961684210526316	1.7953233	0.4612	1.9728945
97	0.49610526315789477	1.7908033	0.42440000000000005	2.1648548
98	0.4996	1.7908286	0.4664	1.9897026
99	0.5070105263157895	1.7658812	0.452	2.0411723
100	0.5027368421052631	1.7692825	0.4136000000000001	2.280331
101	0.5062315789473685	1.7649119	0.4768	1.9493303