add ANN model run ann_opt_sfa
Browse files
ann_opt_sfa/ann_opt_sfa.epochs.csv
ADDED
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| 1 |
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epoch,train_loss,train_acc,test_loss,test_acc,best_acc,time_sec,timestamp,avg_steps_executed,sparsity
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| 2 |
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1,1.2805,0.6147,,0.3295,0.3295,3.58,2026-09-13T04:00:13.472014+00:00,16.0,0.0
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| 3 |
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2,0.927,0.7707,,0.6402,0.6402,3.22,2026-09-13T04:00:16.967178+00:00,16.0,0.0
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| 4 |
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3,0.806,0.8375,,0.6402,0.6402,3.23,2026-09-13T04:00:20.484617+00:00,16.0,0.0
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| 5 |
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4,0.6764,0.896,,0.803,0.803,3.25,2026-09-13T04:00:24.008946+00:00,16.0,0.0
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| 6 |
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5,0.5534,0.9304,,0.75,0.803,3.27,2026-09-13T04:00:27.560280+00:00,16.0,0.0
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| 7 |
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6,0.4809,0.9564,,0.9129,0.9129,3.28,2026-09-13T04:00:31.119497+00:00,16.0,0.0
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| 8 |
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7,0.4515,0.9489,,0.9053,0.9129,3.29,2026-09-13T04:00:34.694563+00:00,16.0,0.0
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| 9 |
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8,0.3806,0.9712,,0.9091,0.9129,3.31,2026-09-13T04:00:38.283598+00:00,16.0,0.0
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| 10 |
+
9,0.335,0.9805,,0.9394,0.9394,3.33,2026-09-13T04:00:41.890097+00:00,16.0,0.0
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| 11 |
+
10,0.3746,0.9629,,0.8826,0.9394,3.36,2026-09-13T04:00:45.538478+00:00,16.0,0.0
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| 12 |
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11,0.3005,0.9814,,0.9318,0.9394,3.4,2026-09-13T04:00:49.224659+00:00,16.0,0.0
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| 13 |
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12,0.2928,0.9814,,0.947,0.947,3.41,2026-09-13T04:00:52.913884+00:00,16.0,0.0
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| 14 |
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13,0.2744,0.9796,,0.9129,0.947,3.4,2026-09-13T04:00:56.603695+00:00,16.0,0.0
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| 15 |
+
14,0.239,0.9824,,0.9432,0.947,3.41,2026-09-13T04:01:00.295121+00:00,16.0,0.0
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| 16 |
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15,0.2601,0.9786,,0.9318,0.947,3.42,2026-09-13T04:01:04.003658+00:00,16.0,0.0
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| 17 |
+
16,0.2224,0.9851,,0.9432,0.947,3.46,2026-09-13T04:01:07.744807+00:00,16.0,0.0
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| 18 |
+
17,0.1871,0.9898,,0.947,0.947,3.47,2026-09-13T04:01:11.499394+00:00,16.0,0.0
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| 19 |
+
18,0.1723,0.9954,,0.9242,0.947,3.47,2026-09-13T04:01:15.254926+00:00,16.0,0.0
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| 20 |
+
19,0.2272,0.9759,,0.8939,0.947,3.44,2026-09-13T04:01:18.976977+00:00,16.0,0.0
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| 21 |
+
20,0.2129,0.9768,,0.947,0.947,3.41,2026-09-13T04:01:22.675849+00:00,16.0,0.0
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| 22 |
+
21,0.1647,0.9889,,0.9394,0.947,3.42,2026-09-13T04:01:26.383760+00:00,16.0,0.0
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| 23 |
+
22,0.1634,0.9898,,0.9432,0.947,3.4,2026-09-13T04:01:30.074499+00:00,16.0,0.0
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| 24 |
+
23,0.1302,0.9944,,0.9394,0.947,3.4,2026-09-13T04:01:33.762120+00:00,16.0,0.0
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| 25 |
+
24,0.148,0.9889,,0.9356,0.947,3.41,2026-09-13T04:01:37.454467+00:00,16.0,0.0
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| 26 |
+
25,0.1214,0.9972,,0.947,0.947,3.39,2026-09-13T04:01:41.126447+00:00,16.0,0.0
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| 27 |
+
26,0.112,0.9981,,0.9394,0.947,3.38,2026-09-13T04:01:44.792958+00:00,16.0,0.0
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| 28 |
+
27,0.1021,0.9963,,0.9508,0.9508,3.38,2026-09-13T04:01:48.460035+00:00,16.0,0.0
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| 29 |
+
28,0.1169,0.9907,,0.947,0.9508,3.37,2026-09-13T04:01:52.118067+00:00,16.0,0.0
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| 30 |
+
29,0.1186,0.9935,,0.9167,0.9508,3.34,2026-09-13T04:01:55.742793+00:00,16.0,0.0
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| 31 |
+
30,0.1117,0.9926,,0.9432,0.9508,3.35,2026-09-13T04:01:59.372484+00:00,16.0,0.0
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| 32 |
+
31,0.0982,0.9981,,0.9432,0.9508,3.37,2026-09-13T04:02:03.018225+00:00,16.0,0.0
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| 33 |
+
32,0.0968,0.9963,,0.947,0.9508,3.39,2026-09-13T04:02:06.682561+00:00,16.0,0.0
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| 34 |
+
33,0.0918,0.9991,,0.9432,0.9508,3.39,2026-09-13T04:02:10.350821+00:00,16.0,0.0
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| 35 |
+
34,0.0903,0.9972,,0.9432,0.9508,3.41,2026-09-13T04:02:14.037679+00:00,16.0,0.0
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| 36 |
+
35,0.0909,0.9954,,0.9356,0.9508,3.41,2026-09-13T04:02:17.730739+00:00,16.0,0.0
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| 37 |
+
36,0.0855,0.9963,,0.9394,0.9508,3.4,2026-09-13T04:02:21.414980+00:00,16.0,0.0
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| 38 |
+
37,0.1087,0.9935,,0.9394,0.9508,3.41,2026-09-13T04:02:25.109317+00:00,16.0,0.0
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| 39 |
+
38,0.0856,0.9963,,0.9318,0.9508,3.41,2026-09-13T04:02:28.805081+00:00,16.0,0.0
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| 40 |
+
39,0.0792,0.9991,,0.947,0.9508,3.41,2026-09-13T04:02:32.501844+00:00,16.0,0.0
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| 41 |
+
40,0.0757,0.9981,,0.9394,0.9508,3.42,2026-09-13T04:02:36.212401+00:00,16.0,0.0
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| 42 |
+
41,0.0763,0.9981,,0.9545,0.9545,3.42,2026-09-13T04:02:39.922194+00:00,16.0,0.0
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| 43 |
+
42,0.0777,0.9954,,0.9508,0.9545,3.42,2026-09-13T04:02:43.629347+00:00,16.0,0.0
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| 44 |
+
43,0.0635,1.0,,0.9545,0.9545,3.41,2026-09-13T04:02:47.317612+00:00,16.0,0.0
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| 45 |
+
44,0.0607,1.0,,0.9508,0.9545,3.41,2026-09-13T04:02:51.013682+00:00,16.0,0.0
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| 46 |
+
45,0.0575,1.0,,0.9508,0.9545,3.41,2026-09-13T04:02:54.700969+00:00,16.0,0.0
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| 47 |
+
46,0.0571,0.9991,,0.9394,0.9545,3.4,2026-09-13T04:02:58.383060+00:00,16.0,0.0
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| 48 |
+
47,0.0519,1.0,,0.947,0.9545,3.41,2026-09-13T04:03:02.072158+00:00,16.0,0.0
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| 49 |
+
48,0.0643,0.9981,,0.9545,0.9545,3.41,2026-09-13T04:03:05.758168+00:00,16.0,0.0
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| 50 |
+
49,0.0497,0.9991,,0.9432,0.9545,3.41,2026-09-13T04:03:09.444455+00:00,16.0,0.0
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| 51 |
+
50,0.0521,0.9972,,0.9508,0.9545,3.41,2026-09-13T04:03:13.133618+00:00,16.0,0.0
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| 52 |
+
51,0.0558,0.9981,,0.9356,0.9545,3.41,2026-09-13T04:03:16.820895+00:00,16.0,0.0
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| 53 |
+
52,0.0567,1.0,,0.947,0.9545,3.4,2026-09-13T04:03:20.510091+00:00,16.0,0.0
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| 54 |
+
53,0.0492,0.9991,,0.9432,0.9545,3.4,2026-09-13T04:03:24.195305+00:00,16.0,0.0
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| 55 |
+
54,0.0484,1.0,,0.9394,0.9545,3.4,2026-09-13T04:03:27.883680+00:00,16.0,0.0
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| 56 |
+
55,0.0565,0.9981,,0.9508,0.9545,3.4,2026-09-13T04:03:31.569964+00:00,16.0,0.0
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| 57 |
+
56,0.0515,0.9991,,0.9545,0.9545,3.41,2026-09-13T04:03:35.259031+00:00,16.0,0.0
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| 58 |
+
57,0.0539,1.0,,0.9508,0.9545,3.41,2026-09-13T04:03:38.948886+00:00,16.0,0.0
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| 59 |
+
58,0.0561,0.9981,,0.947,0.9545,3.41,2026-09-13T04:03:42.641051+00:00,16.0,0.0
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| 60 |
+
59,0.0481,1.0,,0.9508,0.9545,3.41,2026-09-13T04:03:46.334769+00:00,16.0,0.0
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| 61 |
+
60,0.0448,1.0,,0.9545,0.9545,3.41,2026-09-13T04:03:50.029405+00:00,16.0,0.0
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| 62 |
+
61,0.0427,1.0,,0.947,0.9545,3.41,2026-09-13T04:03:53.719646+00:00,16.0,0.0
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| 63 |
+
62,0.0414,1.0,,0.9508,0.9545,3.41,2026-09-13T04:03:57.411168+00:00,16.0,0.0
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| 64 |
+
63,0.0435,1.0,,0.9508,0.9545,3.41,2026-09-13T04:04:01.097983+00:00,16.0,0.0
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| 65 |
+
64,0.0455,1.0,,0.947,0.9545,3.41,2026-09-13T04:04:04.783933+00:00,16.0,0.0
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| 66 |
+
65,0.046,0.9991,,0.9508,0.9545,3.41,2026-09-13T04:04:08.472220+00:00,16.0,0.0
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| 67 |
+
66,0.0483,1.0,,0.947,0.9545,3.41,2026-09-13T04:04:12.155861+00:00,16.0,0.0
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| 68 |
+
67,0.0448,1.0,,0.9508,0.9545,3.41,2026-09-13T04:04:15.842749+00:00,16.0,0.0
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| 69 |
+
68,0.0435,0.9991,,0.947,0.9545,3.41,2026-09-13T04:04:19.529505+00:00,16.0,0.0
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| 70 |
+
69,0.0369,1.0,,0.947,0.9545,3.41,2026-09-13T04:04:23.222877+00:00,16.0,0.0
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| 71 |
+
70,0.0396,1.0,,0.9583,0.9583,3.41,2026-09-13T04:04:26.931688+00:00,16.0,0.0
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| 72 |
+
71,0.0424,1.0,,0.9508,0.9583,3.41,2026-09-13T04:04:30.640407+00:00,16.0,0.0
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| 73 |
+
72,0.0409,0.9981,,0.9508,0.9583,3.4,2026-09-13T04:04:34.321216+00:00,16.0,0.0
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| 74 |
+
73,0.0376,1.0,,0.9583,0.9583,3.4,2026-09-13T04:04:38.003005+00:00,16.0,0.0
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| 75 |
+
74,0.0423,1.0,,0.9583,0.9583,3.41,2026-09-13T04:04:41.692006+00:00,16.0,0.0
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| 76 |
+
75,0.0404,1.0,,0.9545,0.9583,3.41,2026-09-13T04:04:45.381593+00:00,16.0,0.0
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| 77 |
+
76,0.0408,0.9981,,0.947,0.9583,3.41,2026-09-13T04:04:49.074864+00:00,16.0,0.0
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| 78 |
+
77,0.0419,0.9991,,0.9508,0.9583,3.41,2026-09-13T04:04:52.767200+00:00,16.0,0.0
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| 79 |
+
78,0.0411,1.0,,0.9508,0.9583,3.41,2026-09-13T04:04:56.460962+00:00,16.0,0.0
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| 80 |
+
79,0.0378,0.9991,,0.947,0.9583,3.41,2026-09-13T04:05:00.154494+00:00,16.0,0.0
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| 81 |
+
80,0.0422,0.9991,,0.9508,0.9583,3.41,2026-09-13T04:05:03.846250+00:00,16.0,0.0
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| 82 |
+
81,0.0386,1.0,,0.9432,0.9583,3.41,2026-09-13T04:05:07.536502+00:00,16.0,0.0
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| 83 |
+
82,0.0402,1.0,,0.9545,0.9583,3.41,2026-09-13T04:05:11.224074+00:00,16.0,0.0
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| 84 |
+
83,0.0371,1.0,,0.9545,0.9583,3.41,2026-09-13T04:05:14.914375+00:00,16.0,0.0
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| 85 |
+
84,0.0394,1.0,,0.9583,0.9583,3.4,2026-09-13T04:05:18.598455+00:00,16.0,0.0
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| 86 |
+
85,0.0385,1.0,,0.9508,0.9583,3.4,2026-09-13T04:05:22.284077+00:00,16.0,0.0
|
| 87 |
+
86,0.0378,1.0,,0.947,0.9583,3.41,2026-09-13T04:05:25.971433+00:00,16.0,0.0
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| 88 |
+
87,0.0344,1.0,,0.9432,0.9583,3.41,2026-09-13T04:05:29.659739+00:00,16.0,0.0
|
| 89 |
+
88,0.0366,0.9991,,0.9508,0.9583,3.41,2026-09-13T04:05:33.346431+00:00,16.0,0.0
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| 90 |
+
89,0.0384,0.9991,,0.947,0.9583,3.41,2026-09-13T04:05:37.035088+00:00,16.0,0.0
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| 91 |
+
90,0.0424,0.9991,,0.947,0.9583,3.41,2026-09-13T04:05:40.729872+00:00,16.0,0.0
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| 92 |
+
91,0.0423,1.0,,0.9508,0.9583,3.4,2026-09-13T04:05:44.411098+00:00,16.0,0.0
|
| 93 |
+
92,0.044,0.9991,,0.9508,0.9583,3.4,2026-09-13T04:05:48.096971+00:00,16.0,0.0
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| 94 |
+
93,0.0398,1.0,,0.9508,0.9583,3.41,2026-09-13T04:05:51.786005+00:00,16.0,0.0
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| 95 |
+
94,0.042,1.0,,0.9545,0.9583,3.41,2026-09-13T04:05:55.475757+00:00,16.0,0.0
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| 96 |
+
95,0.041,1.0,,0.9545,0.9583,3.41,2026-09-13T04:05:59.166487+00:00,16.0,0.0
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| 97 |
+
96,0.0443,1.0,,0.9545,0.9583,3.41,2026-09-13T04:06:02.864358+00:00,16.0,0.0
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| 98 |
+
97,0.0393,1.0,,0.9508,0.9583,3.4,2026-09-13T04:06:06.553391+00:00,16.0,0.0
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| 99 |
+
98,0.04,0.9991,,0.9508,0.9583,3.41,2026-09-13T04:06:10.242805+00:00,16.0,0.0
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| 100 |
+
99,0.0424,0.9991,,0.9508,0.9583,3.41,2026-09-13T04:06:13.950672+00:00,16.0,0.0
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| 101 |
+
100,0.0395,1.0,,0.9508,0.9583,3.41,2026-09-13T04:06:17.641302+00:00,16.0,0.0
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ann_opt_sfa/ann_opt_sfa.epochs.jsonl
ADDED
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| 1 |
+
{"epoch": 1, "train_loss": 1.2805, "train_acc": 0.6147, "test_acc": 0.3295, "best_acc": 0.3295, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.58, "timestamp": "2026-09-13T04:00:13.472014+00:00"}
|
| 2 |
+
{"epoch": 2, "train_loss": 0.927, "train_acc": 0.7707, "test_acc": 0.6402, "best_acc": 0.6402, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.22, "timestamp": "2026-09-13T04:00:16.967178+00:00"}
|
| 3 |
+
{"epoch": 3, "train_loss": 0.806, "train_acc": 0.8375, "test_acc": 0.6402, "best_acc": 0.6402, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.23, "timestamp": "2026-09-13T04:00:20.484617+00:00"}
|
| 4 |
+
{"epoch": 4, "train_loss": 0.6764, "train_acc": 0.896, "test_acc": 0.803, "best_acc": 0.803, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.25, "timestamp": "2026-09-13T04:00:24.008946+00:00"}
|
| 5 |
+
{"epoch": 5, "train_loss": 0.5534, "train_acc": 0.9304, "test_acc": 0.75, "best_acc": 0.803, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.27, "timestamp": "2026-09-13T04:00:27.560280+00:00"}
|
| 6 |
+
{"epoch": 6, "train_loss": 0.4809, "train_acc": 0.9564, "test_acc": 0.9129, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.28, "timestamp": "2026-09-13T04:00:31.119497+00:00"}
|
| 7 |
+
{"epoch": 7, "train_loss": 0.4515, "train_acc": 0.9489, "test_acc": 0.9053, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.29, "timestamp": "2026-09-13T04:00:34.694563+00:00"}
|
| 8 |
+
{"epoch": 8, "train_loss": 0.3806, "train_acc": 0.9712, "test_acc": 0.9091, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.31, "timestamp": "2026-09-13T04:00:38.283598+00:00"}
|
| 9 |
+
{"epoch": 9, "train_loss": 0.335, "train_acc": 0.9805, "test_acc": 0.9394, "best_acc": 0.9394, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.33, "timestamp": "2026-09-13T04:00:41.890097+00:00"}
|
| 10 |
+
{"epoch": 10, "train_loss": 0.3746, "train_acc": 0.9629, "test_acc": 0.8826, "best_acc": 0.9394, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.36, "timestamp": "2026-09-13T04:00:45.538478+00:00"}
|
| 11 |
+
{"epoch": 11, "train_loss": 0.3005, "train_acc": 0.9814, "test_acc": 0.9318, "best_acc": 0.9394, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:00:49.224659+00:00"}
|
| 12 |
+
{"epoch": 12, "train_loss": 0.2928, "train_acc": 0.9814, "test_acc": 0.947, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:00:52.913884+00:00"}
|
| 13 |
+
{"epoch": 13, "train_loss": 0.2744, "train_acc": 0.9796, "test_acc": 0.9129, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:00:56.603695+00:00"}
|
| 14 |
+
{"epoch": 14, "train_loss": 0.239, "train_acc": 0.9824, "test_acc": 0.9432, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:01:00.295121+00:00"}
|
| 15 |
+
{"epoch": 15, "train_loss": 0.2601, "train_acc": 0.9786, "test_acc": 0.9318, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T04:01:04.003658+00:00"}
|
| 16 |
+
{"epoch": 16, "train_loss": 0.2224, "train_acc": 0.9851, "test_acc": 0.9432, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.46, "timestamp": "2026-09-13T04:01:07.744807+00:00"}
|
| 17 |
+
{"epoch": 17, "train_loss": 0.1871, "train_acc": 0.9898, "test_acc": 0.947, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.47, "timestamp": "2026-09-13T04:01:11.499394+00:00"}
|
| 18 |
+
{"epoch": 18, "train_loss": 0.1723, "train_acc": 0.9954, "test_acc": 0.9242, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.47, "timestamp": "2026-09-13T04:01:15.254926+00:00"}
|
| 19 |
+
{"epoch": 19, "train_loss": 0.2272, "train_acc": 0.9759, "test_acc": 0.8939, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.44, "timestamp": "2026-09-13T04:01:18.976977+00:00"}
|
| 20 |
+
{"epoch": 20, "train_loss": 0.2129, "train_acc": 0.9768, "test_acc": 0.947, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:01:22.675849+00:00"}
|
| 21 |
+
{"epoch": 21, "train_loss": 0.1647, "train_acc": 0.9889, "test_acc": 0.9394, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T04:01:26.383760+00:00"}
|
| 22 |
+
{"epoch": 22, "train_loss": 0.1634, "train_acc": 0.9898, "test_acc": 0.9432, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:01:30.074499+00:00"}
|
| 23 |
+
{"epoch": 23, "train_loss": 0.1302, "train_acc": 0.9944, "test_acc": 0.9394, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:01:33.762120+00:00"}
|
| 24 |
+
{"epoch": 24, "train_loss": 0.148, "train_acc": 0.9889, "test_acc": 0.9356, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:01:37.454467+00:00"}
|
| 25 |
+
{"epoch": 25, "train_loss": 0.1214, "train_acc": 0.9972, "test_acc": 0.947, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T04:01:41.126447+00:00"}
|
| 26 |
+
{"epoch": 26, "train_loss": 0.112, "train_acc": 0.9981, "test_acc": 0.9394, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.38, "timestamp": "2026-09-13T04:01:44.792958+00:00"}
|
| 27 |
+
{"epoch": 27, "train_loss": 0.1021, "train_acc": 0.9963, "test_acc": 0.9508, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.38, "timestamp": "2026-09-13T04:01:48.460035+00:00"}
|
| 28 |
+
{"epoch": 28, "train_loss": 0.1169, "train_acc": 0.9907, "test_acc": 0.947, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.37, "timestamp": "2026-09-13T04:01:52.118067+00:00"}
|
| 29 |
+
{"epoch": 29, "train_loss": 0.1186, "train_acc": 0.9935, "test_acc": 0.9167, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.34, "timestamp": "2026-09-13T04:01:55.742793+00:00"}
|
| 30 |
+
{"epoch": 30, "train_loss": 0.1117, "train_acc": 0.9926, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.35, "timestamp": "2026-09-13T04:01:59.372484+00:00"}
|
| 31 |
+
{"epoch": 31, "train_loss": 0.0982, "train_acc": 0.9981, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.37, "timestamp": "2026-09-13T04:02:03.018225+00:00"}
|
| 32 |
+
{"epoch": 32, "train_loss": 0.0968, "train_acc": 0.9963, "test_acc": 0.947, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T04:02:06.682561+00:00"}
|
| 33 |
+
{"epoch": 33, "train_loss": 0.0918, "train_acc": 0.9991, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T04:02:10.350821+00:00"}
|
| 34 |
+
{"epoch": 34, "train_loss": 0.0903, "train_acc": 0.9972, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:14.037679+00:00"}
|
| 35 |
+
{"epoch": 35, "train_loss": 0.0909, "train_acc": 0.9954, "test_acc": 0.9356, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:17.730739+00:00"}
|
| 36 |
+
{"epoch": 36, "train_loss": 0.0855, "train_acc": 0.9963, "test_acc": 0.9394, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:02:21.414980+00:00"}
|
| 37 |
+
{"epoch": 37, "train_loss": 0.1087, "train_acc": 0.9935, "test_acc": 0.9394, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:25.109317+00:00"}
|
| 38 |
+
{"epoch": 38, "train_loss": 0.0856, "train_acc": 0.9963, "test_acc": 0.9318, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:28.805081+00:00"}
|
| 39 |
+
{"epoch": 39, "train_loss": 0.0792, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:32.501844+00:00"}
|
| 40 |
+
{"epoch": 40, "train_loss": 0.0757, "train_acc": 0.9981, "test_acc": 0.9394, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T04:02:36.212401+00:00"}
|
| 41 |
+
{"epoch": 41, "train_loss": 0.0763, "train_acc": 0.9981, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T04:02:39.922194+00:00"}
|
| 42 |
+
{"epoch": 42, "train_loss": 0.0777, "train_acc": 0.9954, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T04:02:43.629347+00:00"}
|
| 43 |
+
{"epoch": 43, "train_loss": 0.0635, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:47.317612+00:00"}
|
| 44 |
+
{"epoch": 44, "train_loss": 0.0607, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:51.013682+00:00"}
|
| 45 |
+
{"epoch": 45, "train_loss": 0.0575, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:02:54.700969+00:00"}
|
| 46 |
+
{"epoch": 46, "train_loss": 0.0571, "train_acc": 0.9991, "test_acc": 0.9394, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:02:58.383060+00:00"}
|
| 47 |
+
{"epoch": 47, "train_loss": 0.0519, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:02.072158+00:00"}
|
| 48 |
+
{"epoch": 48, "train_loss": 0.0643, "train_acc": 0.9981, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:05.758168+00:00"}
|
| 49 |
+
{"epoch": 49, "train_loss": 0.0497, "train_acc": 0.9991, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:09.444455+00:00"}
|
| 50 |
+
{"epoch": 50, "train_loss": 0.0521, "train_acc": 0.9972, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:13.133618+00:00"}
|
| 51 |
+
{"epoch": 51, "train_loss": 0.0558, "train_acc": 0.9981, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:16.820895+00:00"}
|
| 52 |
+
{"epoch": 52, "train_loss": 0.0567, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:03:20.510091+00:00"}
|
| 53 |
+
{"epoch": 53, "train_loss": 0.0492, "train_acc": 0.9991, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:03:24.195305+00:00"}
|
| 54 |
+
{"epoch": 54, "train_loss": 0.0484, "train_acc": 1.0, "test_acc": 0.9394, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:03:27.883680+00:00"}
|
| 55 |
+
{"epoch": 55, "train_loss": 0.0565, "train_acc": 0.9981, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:03:31.569964+00:00"}
|
| 56 |
+
{"epoch": 56, "train_loss": 0.0515, "train_acc": 0.9991, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:35.259031+00:00"}
|
| 57 |
+
{"epoch": 57, "train_loss": 0.0539, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:38.948886+00:00"}
|
| 58 |
+
{"epoch": 58, "train_loss": 0.0561, "train_acc": 0.9981, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:42.641051+00:00"}
|
| 59 |
+
{"epoch": 59, "train_loss": 0.0481, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:46.334769+00:00"}
|
| 60 |
+
{"epoch": 60, "train_loss": 0.0448, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:50.029405+00:00"}
|
| 61 |
+
{"epoch": 61, "train_loss": 0.0427, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:53.719646+00:00"}
|
| 62 |
+
{"epoch": 62, "train_loss": 0.0414, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:03:57.411168+00:00"}
|
| 63 |
+
{"epoch": 63, "train_loss": 0.0435, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:01.097983+00:00"}
|
| 64 |
+
{"epoch": 64, "train_loss": 0.0455, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:04.783933+00:00"}
|
| 65 |
+
{"epoch": 65, "train_loss": 0.046, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:08.472220+00:00"}
|
| 66 |
+
{"epoch": 66, "train_loss": 0.0483, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:12.155861+00:00"}
|
| 67 |
+
{"epoch": 67, "train_loss": 0.0448, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:15.842749+00:00"}
|
| 68 |
+
{"epoch": 68, "train_loss": 0.0435, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:19.529505+00:00"}
|
| 69 |
+
{"epoch": 69, "train_loss": 0.0369, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:23.222877+00:00"}
|
| 70 |
+
{"epoch": 70, "train_loss": 0.0396, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:26.931688+00:00"}
|
| 71 |
+
{"epoch": 71, "train_loss": 0.0424, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:30.640407+00:00"}
|
| 72 |
+
{"epoch": 72, "train_loss": 0.0409, "train_acc": 0.9981, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:04:34.321216+00:00"}
|
| 73 |
+
{"epoch": 73, "train_loss": 0.0376, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:04:38.003005+00:00"}
|
| 74 |
+
{"epoch": 74, "train_loss": 0.0423, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:41.692006+00:00"}
|
| 75 |
+
{"epoch": 75, "train_loss": 0.0404, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:45.381593+00:00"}
|
| 76 |
+
{"epoch": 76, "train_loss": 0.0408, "train_acc": 0.9981, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:49.074864+00:00"}
|
| 77 |
+
{"epoch": 77, "train_loss": 0.0419, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:52.767200+00:00"}
|
| 78 |
+
{"epoch": 78, "train_loss": 0.0411, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:04:56.460962+00:00"}
|
| 79 |
+
{"epoch": 79, "train_loss": 0.0378, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:00.154494+00:00"}
|
| 80 |
+
{"epoch": 80, "train_loss": 0.0422, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:03.846250+00:00"}
|
| 81 |
+
{"epoch": 81, "train_loss": 0.0386, "train_acc": 1.0, "test_acc": 0.9432, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:07.536502+00:00"}
|
| 82 |
+
{"epoch": 82, "train_loss": 0.0402, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:11.224074+00:00"}
|
| 83 |
+
{"epoch": 83, "train_loss": 0.0371, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:14.914375+00:00"}
|
| 84 |
+
{"epoch": 84, "train_loss": 0.0394, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:05:18.598455+00:00"}
|
| 85 |
+
{"epoch": 85, "train_loss": 0.0385, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:05:22.284077+00:00"}
|
| 86 |
+
{"epoch": 86, "train_loss": 0.0378, "train_acc": 1.0, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:25.971433+00:00"}
|
| 87 |
+
{"epoch": 87, "train_loss": 0.0344, "train_acc": 1.0, "test_acc": 0.9432, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:29.659739+00:00"}
|
| 88 |
+
{"epoch": 88, "train_loss": 0.0366, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:33.346431+00:00"}
|
| 89 |
+
{"epoch": 89, "train_loss": 0.0384, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:37.035088+00:00"}
|
| 90 |
+
{"epoch": 90, "train_loss": 0.0424, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:40.729872+00:00"}
|
| 91 |
+
{"epoch": 91, "train_loss": 0.0423, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:05:44.411098+00:00"}
|
| 92 |
+
{"epoch": 92, "train_loss": 0.044, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:05:48.096971+00:00"}
|
| 93 |
+
{"epoch": 93, "train_loss": 0.0398, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:51.786005+00:00"}
|
| 94 |
+
{"epoch": 94, "train_loss": 0.042, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:55.475757+00:00"}
|
| 95 |
+
{"epoch": 95, "train_loss": 0.041, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:05:59.166487+00:00"}
|
| 96 |
+
{"epoch": 96, "train_loss": 0.0443, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:06:02.864358+00:00"}
|
| 97 |
+
{"epoch": 97, "train_loss": 0.0393, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T04:06:06.553391+00:00"}
|
| 98 |
+
{"epoch": 98, "train_loss": 0.04, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:06:10.242805+00:00"}
|
| 99 |
+
{"epoch": 99, "train_loss": 0.0424, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:06:13.950672+00:00"}
|
| 100 |
+
{"epoch": 100, "train_loss": 0.0395, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9583, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T04:06:17.641302+00:00"}
|
ann_opt_sfa/ann_opt_sfa.summary.json
ADDED
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+
{
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| 2 |
+
"tag": "ann_opt_sfa",
|
| 3 |
+
"opt_mode": "sfa",
|
| 4 |
+
"script": "train_optimized_ann.py",
|
| 5 |
+
"parameters": 1296150,
|
| 6 |
+
"epochs_requested": 100,
|
| 7 |
+
"epochs_completed": 100,
|
| 8 |
+
"batch_size": 32,
|
| 9 |
+
"num_bins_T": 16,
|
| 10 |
+
"lr": 0.002,
|
| 11 |
+
"duration_s": 368.1,
|
| 12 |
+
"best": {
|
| 13 |
+
"epoch": 70,
|
| 14 |
+
"test_acc": 0.9583
|
| 15 |
+
},
|
| 16 |
+
"final_epoch_metrics": {
|
| 17 |
+
"epoch": 100,
|
| 18 |
+
"train_loss": 0.0395,
|
| 19 |
+
"train_acc": 1.0,
|
| 20 |
+
"test_acc": 0.9508,
|
| 21 |
+
"best_acc": 0.9583,
|
| 22 |
+
"avg_steps_executed": 16.0,
|
| 23 |
+
"sparsity": 0.0,
|
| 24 |
+
"time_sec": 3.41,
|
| 25 |
+
"timestamp": "2026-09-13T04:06:17.641302+00:00"
|
| 26 |
+
},
|
| 27 |
+
"zip": {
|
| 28 |
+
"name": "ann_opt_sfa.zip",
|
| 29 |
+
"files": 12,
|
| 30 |
+
"bytes": 4021096,
|
| 31 |
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"MB": 4.02,
|
| 32 |
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"sha256": "b7b7d9ffb81be54c50ce6892d25fff3115c9d46fca3d00d21116347b7d5499c9"
|
| 33 |
+
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|
| 34 |
+
}
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ann_opt_sfa/ann_opt_sfa.zip
ADDED
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size 4021096
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