mlpractical/VGG_38/result_outputs/summary.csv

1	train_acc	train_loss	val_acc	val_loss
2	0.009263157894736843	4.8649125	0.0104	4.630689
3	0.009810526315789474	4.6264124	0.009600000000000001	4.618983
4	0.009705263157894738	4.621914	0.011200000000000002	4.6184525
5	0.008989473684210525	4.619472	0.0064	4.6164784
6	0.009747368421052633	4.6168556	0.0076	4.6138463
7	0.00951578947368421	4.6156826	0.0108	4.6139345
8	0.009789473684210525	4.614809	0.008400000000000001	4.6116896
9	0.009936842105263159	4.613147	0.0104	4.6148276
10	0.009810526315789474	4.612325	0.0076	4.6123877
11	0.009094736842105263	4.6117926	0.007200000000000001	4.6149993
12	0.008421052631578947	4.611283	0.011600000000000001	4.6114736
13	0.009010526315789472	4.6105323	0.009600000000000001	4.607559
14	0.009894736842105263	4.6103206	0.008400000000000001	4.6086206
15	0.00934736842105263	4.6095214	0.011200000000000002	4.6091933
16	0.009473684210526316	4.6095295	0.008	4.6095695
17	0.010252631578947369	4.609189	0.0104	4.610459
18	0.009536842105263158	4.6087623	0.0092	4.6091356
19	0.00848421052631579	4.6086617	0.009600000000000001	4.609126
20	0.008421052631578947	4.6083455	0.011200000000000002	4.6088147
21	0.009410526315789473	4.608145	0.0068000000000000005	4.608519
22	0.009263157894736843	4.6078997	0.0092	4.6085033
23	0.009389473684210526	4.607453	0.01	4.6083508
24	0.008989473684210528	4.6075597	0.008400000000000001	4.6073136
25	0.009326315789473686	4.607266	0.008	4.6069093
26	0.01	4.607154	0.0076	4.6069508
27	0.008778947368421053	4.607089	0.011200000000000002	4.60659
28	0.009326315789473684	4.606807	0.0068	4.6072598
29	0.009031578947368422	4.6068263	0.011200000000000002	4.607257
30	0.008842105263157896	4.6066294	0.008	4.606883
31	0.008968421052631579	4.606647	0.006400000000000001	4.607275
32	0.008947368421052631	4.6065364	0.0092	4.606976
33	0.008842105263157896	4.6064167	0.0076	4.607016
34	0.008799999999999999	4.606425	0.0096	4.607184
35	0.009326315789473686	4.606305	0.0072	4.6068683
36	0.00905263157894737	4.606274	0.0072	4.606982
37	0.00934736842105263	4.6062336	0.007200000000000001	4.607209
38	0.009221052631578948	4.606221	0.0076	4.607369
39	0.009557894736842105	4.60607	0.0076	4.6074376
40	0.009073684210526317	4.6061006	0.0072	4.607068
41	0.009242105263157895	4.606005	0.0064	4.6067224
42	0.009957894736842107	4.605986	0.0072	4.6068263
43	0.009052631578947368	4.605935	0.0072	4.6067867
44	0.008694736842105264	4.6059127	0.0064	4.6070905
45	0.009536842105263158	4.605874	0.006400000000000001	4.606976
46	0.009663157894736842	4.605872	0.0072	4.6068897
47	0.008821052631578948	4.6057997	0.0064	4.607028
48	0.009768421052631579	4.605778	0.0072	4.6069264
49	0.0092	4.6057644	0.007200000000000001	4.607018
50	0.008926315789473685	4.6057386	0.0072	4.60698
51	0.008989473684210525	4.6057277	0.0064	4.6070237
52	0.009242105263157895	4.6057053	0.0064	4.6069183
53	0.009094736842105263	4.605692	0.006400000000000001	4.6068764
54	0.009473684210526316	4.60566	0.0064	4.606909
55	0.009494736842105262	4.605613	0.0064	4.606978
56	0.009747368421052631	4.6056285	0.0064	4.606753
57	0.009789473684210527	4.605578	0.006400000000000001	4.6068797
58	0.009199999999999998	4.6055675	0.0064	4.606888
59	0.009073684210526317	4.6055593	0.0064	4.606874
60	0.008821052631578948	4.6055293	0.006400000000000001	4.606851
61	0.009326315789473684	4.6055255	0.0064	4.606871
62	0.009557894736842105	4.6055083	0.006400000000000001	4.606851
63	0.009600000000000001	4.605491	0.0064	4.6068635
64	0.00856842105263158	4.605466	0.0064	4.606862
65	0.009894736842105263	4.605463	0.006400000000000001	4.6068873
66	0.009494736842105262	4.605441	0.0064	4.6068926
67	0.008673684210526314	4.6054277	0.0064	4.6068554
68	0.009221052631578948	4.6054296	0.0063999999999999994	4.6068907
69	0.008989473684210528	4.605404	0.0064	4.6068807
70	0.00928421052631579	4.6053905	0.006400000000000001	4.6068707
71	0.0092	4.6053743	0.0064	4.606894
72	0.008989473684210525	4.605368	0.0064	4.606845
73	0.009515789473684212	4.605355	0.0064	4.6068635
74	0.009073684210526317	4.605352	0.0064	4.6068773
75	0.009642105263157895	4.6053243	0.0064	4.606883
76	0.009747368421052633	4.6053176	0.0064	4.6069
77	0.009873684210526316	4.6053023	0.0064	4.6068873
78	0.009536842105263156	4.605297	0.0064	4.6068654
79	0.009515789473684212	4.6052866	0.0064	4.6068883
80	0.009978947368421053	4.605265	0.006400000000000001	4.606894
81	0.009957894736842107	4.605259	0.0064	4.6068826
82	0.009410526315789475	4.6052504	0.0064	4.6068697
83	0.01002105263157895	4.6052403	0.006400000000000001	4.6068807
84	0.01002105263157895	4.6052313	0.0064	4.606872
85	0.00951578947368421	4.605224	0.0064	4.6068883
86	0.009852631578947368	4.605219	0.006400000000000001	4.606871
87	0.009894736842105265	4.605209	0.0064	4.606871
88	0.00922105263157895	4.605204	0.0064	4.6068654
89	0.010042105263157896	4.605193	0.0064	4.6068764
90	0.009978947368421053	4.6051874	0.006400000000000001	4.6068697
91	0.009747368421052633	4.605183	0.0064	4.6068673
92	0.010189473684210526	4.605178	0.0064	4.606873
93	0.009789473684210527	4.605173	0.0064	4.6068773
94	0.009936842105263159	4.605169	0.0064	4.606874
95	0.010042105263157894	4.605166	0.0064	4.606877
96	0.009494736842105262	4.6051593	0.0064	4.606874
97	0.009536842105263158	4.6051593	0.0063999999999999994	4.606874
98	0.010021052631578946	4.6051564	0.006400000000000001	4.6068716
99	0.009747368421052631	4.605154	0.0064	4.6068726
100	0.009642105263157895	4.605153	0.0064	4.606872
101	0.009305263157894737	4.6051517	0.0064	4.6068726