mlpractical/VGG_08/result_outputs/summary.csv

1	train_acc	train_loss	val_acc	val_loss
2	0.010694736842105264	4.827323	0.024800000000000003	4.5659676
3	0.03562105263157895	4.3888855	0.0604	4.136276
4	0.0757684210526316	3.998175	0.09480000000000001	3.8678854
5	0.10734736842105265	3.784943	0.12159999999999999	3.6687074
6	0.13741052631578948	3.6023798	0.15439999999999998	3.4829779
7	0.16888421052631578	3.4196754	0.1864	3.3093607
8	0.1941263157894737	3.2674048	0.20720000000000002	3.2223148
9	0.21861052631578948	3.139925	0.22880000000000003	3.1171055
10	0.24134736842105264	3.0145736	0.24760000000000001	3.0554724
11	0.26399999999999996	2.9004965	0.2552	2.9390912
12	0.27898947368421056	2.815607	0.2764	2.9205213
13	0.29532631578947366	2.7256868	0.2968	2.7410471
14	0.31138947368421044	2.6567938	0.3016	2.7083752
15	0.3236842105263158	2.595405	0.322	2.665904
16	0.33486315789473686	2.5434496	0.3176	2.688214
17	0.3462526315789474	2.5021079	0.33159999999999995	2.648656
18	0.35381052631578946	2.4609485	0.342	2.5658453
19	0.36157894736842106	2.4152951	0.34119999999999995	2.5403407
20	0.36774736842105266	2.382958	0.3332	2.6936982
21	0.37753684210526317	2.3510027	0.36160000000000003	2.4663532
22	0.38597894736842114	2.319616	0.3608	2.4559999
23	0.3912421052631579	2.294115	0.3732	2.3644555
24	0.39840000000000003	2.2598042	0.3716	2.4516551
25	0.4036	2.2318766	0.37439999999999996	2.4189563
26	0.4105263157894737	2.2035582	0.3772	2.3899698
27	0.41501052631578944	2.1830406	0.3876	2.3215945
28	0.4193263157894737	2.158597	0.37800000000000006	2.3831298
29	0.4211578947368421	2.148888	0.38160000000000005	2.3436418
30	0.4260842105263159	2.1250536	0.39840000000000003	2.3471045
31	0.4313684210526315	2.107519	0.4044	2.2744477
32	0.4370526315789474	2.0837262	0.398	2.245617
33	0.439642105263158	2.0691078	0.41200000000000003	2.216309
34	0.4440842105263158	2.046351	0.4096	2.2329648
35	0.44696842105263157	2.0330904	0.4104	2.1841388
36	0.4518105263157895	2.0200553	0.4244	2.1780539
37	0.45298947368421055	2.0069249	0.42719999999999997	2.1625984
38	0.4602105263157895	1.9896894	0.4204	2.2195568
39	0.46023157894736844	1.9788533	0.4244	2.1803434
40	0.46101052631578954	1.9693571	0.4128	2.1858895
41	0.46774736842105263	1.9547894	0.4204	2.1908271
42	0.4671157894736842	1.9390026	0.4244	2.1841395
43	0.4698105263157895	1.924038	0.424	2.1843896
44	0.4738736842105264	1.9161719	0.43	2.154806
45	0.47541052631578945	1.9033127	0.4463999999999999	2.1130056
46	0.48	1.8961077	0.44439999999999996	2.113019
47	0.48456842105263154	1.8838875	0.43079999999999996	2.1191697
48	0.4857263157894737	1.8711865	0.44920000000000004	2.1213412
49	0.4887578947368421	1.8590263	0.44799999999999995	2.1077166
50	0.49035789473684216	1.8479114	0.4428	2.0737479
51	0.4908421052631579	1.845268	0.4436	2.07655
52	0.4939368421052632	1.8336699	0.4548	2.0769904
53	0.49924210526315793	1.8237538	0.4548	2.061769
54	0.49677894736842104	1.8111013	0.44240000000000007	2.0676718
55	0.5008842105263157	1.8031327	0.4548	2.0859065
56	0.5	1.8026625	0.458	2.0704215
57	0.5030736842105263	1.792004	0.4596	2.1113508
58	0.505578947368421	1.7810374	0.45679999999999993	2.0382714
59	0.5090315789473684	1.7691813	0.4444000000000001	2.0911386
60	0.512042105263158	1.7633294	0.4616	2.0458508
61	0.5142736842105263	1.7549652	0.4464	2.0786576
62	0.5128421052631579	1.7518128	0.4656	2.026332
63	0.518042105263158	1.7420768	0.46	2.0141299
64	0.5182315789473684	1.7321203	0.45960000000000006	2.0226884
65	0.5192842105263158	1.7264535	0.46279999999999993	2.0182638
66	0.5217894736842105	1.7245325	0.46399999999999997	2.0110855
67	0.5229684210526316	1.7184331	0.46679999999999994	2.0191038
68	0.5227578947368421	1.7116771	0.4604	2.0334535
69	0.5245894736842105	1.7009526	0.4692	2.0072439
70	0.5262315789473684	1.6991171	0.4700000000000001	2.0296187
71	0.5278526315789474	1.6958193	0.4708	1.9912667
72	0.527157894736842	1.6907407	0.4736	2.006095
73	0.5299578947368421	1.6808176	0.4715999999999999	2.012164
74	0.5313052631578947	1.676356	0.47239999999999993	1.9955354
75	0.5338315789473685	1.6731659	0.47839999999999994	2.005768
76	0.5336000000000001	1.662152	0.4672	2.015392
77	0.5354736842105263	1.6638054	0.4692	1.9890119
78	0.5397894736842105	1.6575475	0.4768	2.0090258
79	0.5386526315789474	1.6595734	0.4824	1.9728817
80	0.5376631578947368	1.6536722	0.4816	1.9769167
81	0.5384842105263159	1.6495628	0.47600000000000003	1.9980135
82	0.5380842105263157	1.6488388	0.478	1.9884782
83	0.5393473684210528	1.6408547	0.48	1.9772192
84	0.5415157894736843	1.632917	0.4828	1.9732709
85	0.5394947368421052	1.6340653	0.4776	1.9623082
86	0.5429052631578948	1.6340532	0.47759999999999997	1.9812362
87	0.5452421052631579	1.6246406	0.48119999999999996	1.9846246
88	0.5436210526315789	1.6288266	0.4864	1.9822198
89	0.5437684210526316	1.6240481	0.48279999999999995	1.9768158
90	0.546357894736842	1.6208181	0.4804	1.9625885
91	0.5485052631578946	1.6164333	0.47839999999999994	1.9738724
92	0.5466736842105263	1.6169226	0.47800000000000004	1.9842362
93	0.547621052631579	1.6159856	0.4828	1.9709526
94	0.5480421052631579	1.6175526	0.48560000000000003	1.967775
95	0.5468421052631579	1.6149833	0.48119999999999996	1.9626708
96	0.5493894736842105	1.6063902	0.4835999999999999	1.96621
97	0.5490736842105263	1.6096952	0.48120000000000007	1.9742922
98	0.5514736842105264	1.6084315	0.4867999999999999	1.9604725
99	0.5489263157894737	1.6069487	0.4831999999999999	1.9733659
100	0.5494947368421053	1.6030664	0.49079999999999996	1.9693874
101	0.5516842105263158	1.6043342	0.486	1.9647765
102	0.552442105263158	1.6039867	0.48480000000000006	1.9649359