add ANN model run ann_opt_delta
Browse files
ann_opt_delta/ann_opt_delta.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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1,1.3574,0.5664,,0.6098,0.6098,3.32,2026-09-13T03:49:31.405767+00:00,16.0,0.0
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| 3 |
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2,0.9908,0.7558,,0.8106,0.8106,2.98,2026-09-13T03:49:34.614573+00:00,16.0,0.0
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| 4 |
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3,0.792,0.8542,,0.8258,0.8258,2.99,2026-09-13T03:49:37.844095+00:00,16.0,0.0
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| 5 |
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4,0.6795,0.8858,,0.8068,0.8258,3.01,2026-09-13T03:49:41.085673+00:00,16.0,0.0
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| 6 |
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5,0.5884,0.9248,,0.8485,0.8485,3.02,2026-09-13T03:49:44.328034+00:00,16.0,0.0
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| 7 |
+
6,0.5303,0.9294,,0.8902,0.8902,3.03,2026-09-13T03:49:47.586047+00:00,16.0,0.0
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| 8 |
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7,0.5178,0.9331,,0.9167,0.9167,3.03,2026-09-13T03:49:50.850007+00:00,16.0,0.0
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| 9 |
+
8,0.4503,0.9396,,0.8939,0.9167,3.04,2026-09-13T03:49:54.116450+00:00,16.0,0.0
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| 10 |
+
9,0.3989,0.9508,,0.9053,0.9167,3.05,2026-09-13T03:49:57.390230+00:00,16.0,0.0
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| 11 |
+
10,0.4001,0.9471,,0.9432,0.9432,3.05,2026-09-13T03:50:00.662462+00:00,16.0,0.0
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| 12 |
+
11,0.3206,0.9749,,0.9167,0.9432,3.06,2026-09-13T03:50:03.954374+00:00,16.0,0.0
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| 13 |
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12,0.3325,0.9619,,0.9015,0.9432,3.07,2026-09-13T03:50:07.249311+00:00,16.0,0.0
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| 14 |
+
13,0.343,0.9545,,0.8788,0.9432,3.07,2026-09-13T03:50:10.551093+00:00,16.0,0.0
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| 15 |
+
14,0.2968,0.9666,,0.9129,0.9432,3.08,2026-09-13T03:50:13.864525+00:00,16.0,0.0
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| 16 |
+
15,0.2926,0.9666,,0.9167,0.9432,3.1,2026-09-13T03:50:17.189034+00:00,16.0,0.0
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| 17 |
+
16,0.2808,0.9629,,0.9242,0.9432,3.1,2026-09-13T03:50:20.520226+00:00,16.0,0.0
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| 18 |
+
17,0.2258,0.9749,,0.9129,0.9432,3.12,2026-09-13T03:50:23.867921+00:00,16.0,0.0
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| 19 |
+
18,0.2104,0.9786,,0.8939,0.9432,3.12,2026-09-13T03:50:27.218832+00:00,16.0,0.0
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| 20 |
+
19,0.2414,0.9731,,0.9242,0.9432,3.14,2026-09-13T03:50:30.586145+00:00,16.0,0.0
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| 21 |
+
20,0.2095,0.9805,,0.9242,0.9432,3.15,2026-09-13T03:50:33.966713+00:00,16.0,0.0
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| 22 |
+
21,0.1795,0.9851,,0.9205,0.9432,3.16,2026-09-13T03:50:37.356117+00:00,16.0,0.0
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| 23 |
+
22,0.1979,0.9712,,0.8939,0.9432,3.16,2026-09-13T03:50:40.748847+00:00,16.0,0.0
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| 24 |
+
23,0.1677,0.9879,,0.947,0.947,3.16,2026-09-13T03:50:44.139544+00:00,16.0,0.0
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| 25 |
+
24,0.1514,0.9907,,0.9508,0.9508,3.14,2026-09-13T03:50:47.517729+00:00,16.0,0.0
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| 26 |
+
25,0.1264,0.9898,,0.9167,0.9508,3.14,2026-09-13T03:50:50.890386+00:00,16.0,0.0
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| 27 |
+
26,0.1268,0.9907,,0.9394,0.9508,3.13,2026-09-13T03:50:54.245807+00:00,16.0,0.0
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| 28 |
+
27,0.143,0.987,,0.928,0.9508,3.12,2026-09-13T03:50:57.595211+00:00,16.0,0.0
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| 29 |
+
28,0.151,0.9889,,0.8977,0.9508,3.11,2026-09-13T03:51:00.932414+00:00,16.0,0.0
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| 30 |
+
29,0.176,0.9786,,0.8561,0.9508,3.11,2026-09-13T03:51:04.268691+00:00,16.0,0.0
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| 31 |
+
30,0.171,0.9786,,0.9318,0.9508,3.1,2026-09-13T03:51:07.600351+00:00,16.0,0.0
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| 32 |
+
31,0.1359,0.9907,,0.947,0.9508,3.1,2026-09-13T03:51:10.930543+00:00,16.0,0.0
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| 33 |
+
32,0.1167,0.9935,,0.9432,0.9508,3.1,2026-09-13T03:51:14.258783+00:00,16.0,0.0
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| 34 |
+
33,0.1185,0.9898,,0.9356,0.9508,3.1,2026-09-13T03:51:17.589105+00:00,16.0,0.0
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| 35 |
+
34,0.1244,0.9916,,0.9432,0.9508,3.1,2026-09-13T03:51:20.921756+00:00,16.0,0.0
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| 36 |
+
35,0.1182,0.9879,,0.9432,0.9508,3.1,2026-09-13T03:51:24.247098+00:00,16.0,0.0
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| 37 |
+
36,0.1182,0.9907,,0.9242,0.9508,3.1,2026-09-13T03:51:27.576066+00:00,16.0,0.0
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| 38 |
+
37,0.1053,0.9944,,0.947,0.9508,3.1,2026-09-13T03:51:30.902505+00:00,16.0,0.0
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| 39 |
+
38,0.1066,0.9944,,0.9205,0.9508,3.1,2026-09-13T03:51:34.233834+00:00,16.0,0.0
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| 40 |
+
39,0.0965,0.9926,,0.928,0.9508,3.11,2026-09-13T03:51:37.571647+00:00,16.0,0.0
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| 41 |
+
40,0.0817,0.9981,,0.9432,0.9508,3.11,2026-09-13T03:51:40.911489+00:00,16.0,0.0
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| 42 |
+
41,0.0766,0.9963,,0.9356,0.9508,3.11,2026-09-13T03:51:44.257658+00:00,16.0,0.0
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| 43 |
+
42,0.0771,0.9972,,0.9432,0.9508,3.12,2026-09-13T03:51:47.609301+00:00,16.0,0.0
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| 44 |
+
43,0.086,0.9935,,0.9508,0.9508,3.12,2026-09-13T03:51:50.959396+00:00,16.0,0.0
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| 45 |
+
44,0.0974,0.9889,,0.9356,0.9508,3.13,2026-09-13T03:51:54.313822+00:00,16.0,0.0
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| 46 |
+
45,0.0808,0.9954,,0.9545,0.9545,3.13,2026-09-13T03:51:57.675233+00:00,16.0,0.0
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| 47 |
+
46,0.0817,0.9916,,0.9432,0.9545,3.13,2026-09-13T03:52:01.035912+00:00,16.0,0.0
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| 48 |
+
47,0.0669,0.9981,,0.9545,0.9545,3.12,2026-09-13T03:52:04.389421+00:00,16.0,0.0
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| 49 |
+
48,0.0718,0.9954,,0.9545,0.9545,3.13,2026-09-13T03:52:07.745051+00:00,16.0,0.0
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| 50 |
+
49,0.0569,0.9981,,0.9356,0.9545,3.12,2026-09-13T03:52:11.097676+00:00,16.0,0.0
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| 51 |
+
50,0.0547,0.9963,,0.9621,0.9621,3.13,2026-09-13T03:52:14.450979+00:00,16.0,0.0
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| 52 |
+
51,0.0547,0.9972,,0.9356,0.9621,3.12,2026-09-13T03:52:17.804578+00:00,16.0,0.0
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| 53 |
+
52,0.0843,0.9916,,0.9091,0.9621,3.12,2026-09-13T03:52:21.153783+00:00,16.0,0.0
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| 54 |
+
53,0.0646,0.9963,,0.9242,0.9621,3.12,2026-09-13T03:52:24.499612+00:00,16.0,0.0
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| 55 |
+
54,0.0626,0.9972,,0.9508,0.9621,3.11,2026-09-13T03:52:27.839357+00:00,16.0,0.0
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| 56 |
+
55,0.0699,0.9963,,0.9545,0.9621,3.11,2026-09-13T03:52:31.180951+00:00,16.0,0.0
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| 57 |
+
56,0.0631,0.9972,,0.9356,0.9621,3.11,2026-09-13T03:52:34.521796+00:00,16.0,0.0
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| 58 |
+
57,0.0712,0.9944,,0.9356,0.9621,3.11,2026-09-13T03:52:37.861766+00:00,16.0,0.0
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| 59 |
+
58,0.0702,0.9963,,0.9508,0.9621,3.11,2026-09-13T03:52:41.200518+00:00,16.0,0.0
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| 60 |
+
59,0.0537,0.9981,,0.9508,0.9621,3.11,2026-09-13T03:52:44.538677+00:00,16.0,0.0
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| 61 |
+
60,0.0443,1.0,,0.9394,0.9621,3.11,2026-09-13T03:52:47.879711+00:00,16.0,0.0
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| 62 |
+
61,0.041,0.9991,,0.9621,0.9621,3.11,2026-09-13T03:52:51.220041+00:00,16.0,0.0
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| 63 |
+
62,0.0463,1.0,,0.9508,0.9621,3.11,2026-09-13T03:52:54.562583+00:00,16.0,0.0
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| 64 |
+
63,0.046,0.9991,,0.9583,0.9621,3.11,2026-09-13T03:52:57.898672+00:00,16.0,0.0
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| 65 |
+
64,0.0405,0.9991,,0.9508,0.9621,3.11,2026-09-13T03:53:01.236766+00:00,16.0,0.0
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| 66 |
+
65,0.045,0.9991,,0.947,0.9621,3.1,2026-09-13T03:53:04.568919+00:00,16.0,0.0
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| 67 |
+
66,0.0507,0.9972,,0.9242,0.9621,3.11,2026-09-13T03:53:07.908675+00:00,16.0,0.0
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| 68 |
+
67,0.0471,0.9991,,0.9583,0.9621,3.1,2026-09-13T03:53:11.239107+00:00,16.0,0.0
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| 69 |
+
68,0.0434,0.9991,,0.9545,0.9621,3.11,2026-09-13T03:53:14.579106+00:00,16.0,0.0
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| 70 |
+
69,0.0335,1.0,,0.9621,0.9621,3.1,2026-09-13T03:53:17.913421+00:00,16.0,0.0
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| 71 |
+
70,0.032,1.0,,0.9659,0.9659,3.11,2026-09-13T03:53:21.253202+00:00,16.0,0.0
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| 72 |
+
71,0.0361,0.9981,,0.9508,0.9659,3.11,2026-09-13T03:53:24.598090+00:00,16.0,0.0
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| 73 |
+
72,0.0357,0.9991,,0.9545,0.9659,3.11,2026-09-13T03:53:27.938132+00:00,16.0,0.0
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| 74 |
+
73,0.0287,1.0,,0.9545,0.9659,3.11,2026-09-13T03:53:31.270583+00:00,16.0,0.0
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| 75 |
+
74,0.0348,1.0,,0.9621,0.9659,3.1,2026-09-13T03:53:34.601066+00:00,16.0,0.0
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| 76 |
+
75,0.0331,0.9991,,0.947,0.9659,3.1,2026-09-13T03:53:37.932023+00:00,16.0,0.0
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| 77 |
+
76,0.0413,0.9981,,0.9621,0.9659,3.1,2026-09-13T03:53:41.260808+00:00,16.0,0.0
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| 78 |
+
77,0.0322,1.0,,0.9659,0.9659,3.1,2026-09-13T03:53:44.589351+00:00,16.0,0.0
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| 79 |
+
78,0.0317,1.0,,0.9621,0.9659,3.11,2026-09-13T03:53:47.925098+00:00,16.0,0.0
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| 80 |
+
79,0.0277,1.0,,0.9659,0.9659,3.11,2026-09-13T03:53:51.262013+00:00,16.0,0.0
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| 81 |
+
80,0.0307,1.0,,0.9621,0.9659,3.11,2026-09-13T03:53:54.622991+00:00,16.0,0.0
|
| 82 |
+
81,0.0285,1.0,,0.9621,0.9659,3.12,2026-09-13T03:53:57.969882+00:00,16.0,0.0
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| 83 |
+
82,0.0289,1.0,,0.9621,0.9659,3.12,2026-09-13T03:54:01.319570+00:00,16.0,0.0
|
| 84 |
+
83,0.0261,1.0,,0.9621,0.9659,3.12,2026-09-13T03:54:04.667438+00:00,16.0,0.0
|
| 85 |
+
84,0.0273,1.0,,0.9697,0.9697,3.12,2026-09-13T03:54:08.012872+00:00,16.0,0.0
|
| 86 |
+
85,0.0267,1.0,,0.9659,0.9697,3.12,2026-09-13T03:54:11.367768+00:00,16.0,0.0
|
| 87 |
+
86,0.0267,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:14.717134+00:00,16.0,0.0
|
| 88 |
+
87,0.0239,1.0,,0.9659,0.9697,3.13,2026-09-13T03:54:18.072485+00:00,16.0,0.0
|
| 89 |
+
88,0.0263,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:21.421892+00:00,16.0,0.0
|
| 90 |
+
89,0.027,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:24.773728+00:00,16.0,0.0
|
| 91 |
+
90,0.0291,1.0,,0.9621,0.9697,3.13,2026-09-13T03:54:28.134188+00:00,16.0,0.0
|
| 92 |
+
91,0.0297,1.0,,0.9621,0.9697,3.13,2026-09-13T03:54:31.489010+00:00,16.0,0.0
|
| 93 |
+
92,0.0296,1.0,,0.9621,0.9697,3.13,2026-09-13T03:54:34.842185+00:00,16.0,0.0
|
| 94 |
+
93,0.0267,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:38.196219+00:00,16.0,0.0
|
| 95 |
+
94,0.0287,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:41.542491+00:00,16.0,0.0
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| 96 |
+
95,0.0277,1.0,,0.9621,0.9697,3.11,2026-09-13T03:54:44.884377+00:00,16.0,0.0
|
| 97 |
+
96,0.0297,1.0,,0.9621,0.9697,3.12,2026-09-13T03:54:48.230131+00:00,16.0,0.0
|
| 98 |
+
97,0.0272,1.0,,0.9621,0.9697,3.11,2026-09-13T03:54:51.570150+00:00,16.0,0.0
|
| 99 |
+
98,0.0266,1.0,,0.9621,0.9697,3.11,2026-09-13T03:54:54.907720+00:00,16.0,0.0
|
| 100 |
+
99,0.0278,1.0,,0.9659,0.9697,3.11,2026-09-13T03:54:58.239829+00:00,16.0,0.0
|
| 101 |
+
100,0.0267,1.0,,0.9659,0.9697,3.1,2026-09-13T03:55:01.570506+00:00,16.0,0.0
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ann_opt_delta/ann_opt_delta.epochs.jsonl
ADDED
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@@ -0,0 +1,100 @@
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| 1 |
+
{"epoch": 1, "train_loss": 1.3574, "train_acc": 0.5664, "test_acc": 0.6098, "best_acc": 0.6098, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.32, "timestamp": "2026-09-13T03:49:31.405767+00:00"}
|
| 2 |
+
{"epoch": 2, "train_loss": 0.9908, "train_acc": 0.7558, "test_acc": 0.8106, "best_acc": 0.8106, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 2.98, "timestamp": "2026-09-13T03:49:34.614573+00:00"}
|
| 3 |
+
{"epoch": 3, "train_loss": 0.792, "train_acc": 0.8542, "test_acc": 0.8258, "best_acc": 0.8258, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 2.99, "timestamp": "2026-09-13T03:49:37.844095+00:00"}
|
| 4 |
+
{"epoch": 4, "train_loss": 0.6795, "train_acc": 0.8858, "test_acc": 0.8068, "best_acc": 0.8258, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.01, "timestamp": "2026-09-13T03:49:41.085673+00:00"}
|
| 5 |
+
{"epoch": 5, "train_loss": 0.5884, "train_acc": 0.9248, "test_acc": 0.8485, "best_acc": 0.8485, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.02, "timestamp": "2026-09-13T03:49:44.328034+00:00"}
|
| 6 |
+
{"epoch": 6, "train_loss": 0.5303, "train_acc": 0.9294, "test_acc": 0.8902, "best_acc": 0.8902, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.03, "timestamp": "2026-09-13T03:49:47.586047+00:00"}
|
| 7 |
+
{"epoch": 7, "train_loss": 0.5178, "train_acc": 0.9331, "test_acc": 0.9167, "best_acc": 0.9167, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.03, "timestamp": "2026-09-13T03:49:50.850007+00:00"}
|
| 8 |
+
{"epoch": 8, "train_loss": 0.4503, "train_acc": 0.9396, "test_acc": 0.8939, "best_acc": 0.9167, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.04, "timestamp": "2026-09-13T03:49:54.116450+00:00"}
|
| 9 |
+
{"epoch": 9, "train_loss": 0.3989, "train_acc": 0.9508, "test_acc": 0.9053, "best_acc": 0.9167, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.05, "timestamp": "2026-09-13T03:49:57.390230+00:00"}
|
| 10 |
+
{"epoch": 10, "train_loss": 0.4001, "train_acc": 0.9471, "test_acc": 0.9432, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.05, "timestamp": "2026-09-13T03:50:00.662462+00:00"}
|
| 11 |
+
{"epoch": 11, "train_loss": 0.3206, "train_acc": 0.9749, "test_acc": 0.9167, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.06, "timestamp": "2026-09-13T03:50:03.954374+00:00"}
|
| 12 |
+
{"epoch": 12, "train_loss": 0.3325, "train_acc": 0.9619, "test_acc": 0.9015, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.07, "timestamp": "2026-09-13T03:50:07.249311+00:00"}
|
| 13 |
+
{"epoch": 13, "train_loss": 0.343, "train_acc": 0.9545, "test_acc": 0.8788, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.07, "timestamp": "2026-09-13T03:50:10.551093+00:00"}
|
| 14 |
+
{"epoch": 14, "train_loss": 0.2968, "train_acc": 0.9666, "test_acc": 0.9129, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.08, "timestamp": "2026-09-13T03:50:13.864525+00:00"}
|
| 15 |
+
{"epoch": 15, "train_loss": 0.2926, "train_acc": 0.9666, "test_acc": 0.9167, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:50:17.189034+00:00"}
|
| 16 |
+
{"epoch": 16, "train_loss": 0.2808, "train_acc": 0.9629, "test_acc": 0.9242, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:50:20.520226+00:00"}
|
| 17 |
+
{"epoch": 17, "train_loss": 0.2258, "train_acc": 0.9749, "test_acc": 0.9129, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:50:23.867921+00:00"}
|
| 18 |
+
{"epoch": 18, "train_loss": 0.2104, "train_acc": 0.9786, "test_acc": 0.8939, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:50:27.218832+00:00"}
|
| 19 |
+
{"epoch": 19, "train_loss": 0.2414, "train_acc": 0.9731, "test_acc": 0.9242, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.14, "timestamp": "2026-09-13T03:50:30.586145+00:00"}
|
| 20 |
+
{"epoch": 20, "train_loss": 0.2095, "train_acc": 0.9805, "test_acc": 0.9242, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.15, "timestamp": "2026-09-13T03:50:33.966713+00:00"}
|
| 21 |
+
{"epoch": 21, "train_loss": 0.1795, "train_acc": 0.9851, "test_acc": 0.9205, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.16, "timestamp": "2026-09-13T03:50:37.356117+00:00"}
|
| 22 |
+
{"epoch": 22, "train_loss": 0.1979, "train_acc": 0.9712, "test_acc": 0.8939, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.16, "timestamp": "2026-09-13T03:50:40.748847+00:00"}
|
| 23 |
+
{"epoch": 23, "train_loss": 0.1677, "train_acc": 0.9879, "test_acc": 0.947, "best_acc": 0.947, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.16, "timestamp": "2026-09-13T03:50:44.139544+00:00"}
|
| 24 |
+
{"epoch": 24, "train_loss": 0.1514, "train_acc": 0.9907, "test_acc": 0.9508, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.14, "timestamp": "2026-09-13T03:50:47.517729+00:00"}
|
| 25 |
+
{"epoch": 25, "train_loss": 0.1264, "train_acc": 0.9898, "test_acc": 0.9167, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.14, "timestamp": "2026-09-13T03:50:50.890386+00:00"}
|
| 26 |
+
{"epoch": 26, "train_loss": 0.1268, "train_acc": 0.9907, "test_acc": 0.9394, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:50:54.245807+00:00"}
|
| 27 |
+
{"epoch": 27, "train_loss": 0.143, "train_acc": 0.987, "test_acc": 0.928, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:50:57.595211+00:00"}
|
| 28 |
+
{"epoch": 28, "train_loss": 0.151, "train_acc": 0.9889, "test_acc": 0.8977, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:51:00.932414+00:00"}
|
| 29 |
+
{"epoch": 29, "train_loss": 0.176, "train_acc": 0.9786, "test_acc": 0.8561, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:51:04.268691+00:00"}
|
| 30 |
+
{"epoch": 30, "train_loss": 0.171, "train_acc": 0.9786, "test_acc": 0.9318, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:07.600351+00:00"}
|
| 31 |
+
{"epoch": 31, "train_loss": 0.1359, "train_acc": 0.9907, "test_acc": 0.947, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:10.930543+00:00"}
|
| 32 |
+
{"epoch": 32, "train_loss": 0.1167, "train_acc": 0.9935, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:14.258783+00:00"}
|
| 33 |
+
{"epoch": 33, "train_loss": 0.1185, "train_acc": 0.9898, "test_acc": 0.9356, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:17.589105+00:00"}
|
| 34 |
+
{"epoch": 34, "train_loss": 0.1244, "train_acc": 0.9916, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:20.921756+00:00"}
|
| 35 |
+
{"epoch": 35, "train_loss": 0.1182, "train_acc": 0.9879, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:24.247098+00:00"}
|
| 36 |
+
{"epoch": 36, "train_loss": 0.1182, "train_acc": 0.9907, "test_acc": 0.9242, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:27.576066+00:00"}
|
| 37 |
+
{"epoch": 37, "train_loss": 0.1053, "train_acc": 0.9944, "test_acc": 0.947, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:30.902505+00:00"}
|
| 38 |
+
{"epoch": 38, "train_loss": 0.1066, "train_acc": 0.9944, "test_acc": 0.9205, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:51:34.233834+00:00"}
|
| 39 |
+
{"epoch": 39, "train_loss": 0.0965, "train_acc": 0.9926, "test_acc": 0.928, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:51:37.571647+00:00"}
|
| 40 |
+
{"epoch": 40, "train_loss": 0.0817, "train_acc": 0.9981, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:51:40.911489+00:00"}
|
| 41 |
+
{"epoch": 41, "train_loss": 0.0766, "train_acc": 0.9963, "test_acc": 0.9356, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:51:44.257658+00:00"}
|
| 42 |
+
{"epoch": 42, "train_loss": 0.0771, "train_acc": 0.9972, "test_acc": 0.9432, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:51:47.609301+00:00"}
|
| 43 |
+
{"epoch": 43, "train_loss": 0.086, "train_acc": 0.9935, "test_acc": 0.9508, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:51:50.959396+00:00"}
|
| 44 |
+
{"epoch": 44, "train_loss": 0.0974, "train_acc": 0.9889, "test_acc": 0.9356, "best_acc": 0.9508, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:51:54.313822+00:00"}
|
| 45 |
+
{"epoch": 45, "train_loss": 0.0808, "train_acc": 0.9954, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:51:57.675233+00:00"}
|
| 46 |
+
{"epoch": 46, "train_loss": 0.0817, "train_acc": 0.9916, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:52:01.035912+00:00"}
|
| 47 |
+
{"epoch": 47, "train_loss": 0.0669, "train_acc": 0.9981, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:52:04.389421+00:00"}
|
| 48 |
+
{"epoch": 48, "train_loss": 0.0718, "train_acc": 0.9954, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:52:07.745051+00:00"}
|
| 49 |
+
{"epoch": 49, "train_loss": 0.0569, "train_acc": 0.9981, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:52:11.097676+00:00"}
|
| 50 |
+
{"epoch": 50, "train_loss": 0.0547, "train_acc": 0.9963, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:52:14.450979+00:00"}
|
| 51 |
+
{"epoch": 51, "train_loss": 0.0547, "train_acc": 0.9972, "test_acc": 0.9356, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:52:17.804578+00:00"}
|
| 52 |
+
{"epoch": 52, "train_loss": 0.0843, "train_acc": 0.9916, "test_acc": 0.9091, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:52:21.153783+00:00"}
|
| 53 |
+
{"epoch": 53, "train_loss": 0.0646, "train_acc": 0.9963, "test_acc": 0.9242, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:52:24.499612+00:00"}
|
| 54 |
+
{"epoch": 54, "train_loss": 0.0626, "train_acc": 0.9972, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:27.839357+00:00"}
|
| 55 |
+
{"epoch": 55, "train_loss": 0.0699, "train_acc": 0.9963, "test_acc": 0.9545, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:31.180951+00:00"}
|
| 56 |
+
{"epoch": 56, "train_loss": 0.0631, "train_acc": 0.9972, "test_acc": 0.9356, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:34.521796+00:00"}
|
| 57 |
+
{"epoch": 57, "train_loss": 0.0712, "train_acc": 0.9944, "test_acc": 0.9356, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:37.861766+00:00"}
|
| 58 |
+
{"epoch": 58, "train_loss": 0.0702, "train_acc": 0.9963, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:41.200518+00:00"}
|
| 59 |
+
{"epoch": 59, "train_loss": 0.0537, "train_acc": 0.9981, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:44.538677+00:00"}
|
| 60 |
+
{"epoch": 60, "train_loss": 0.0443, "train_acc": 1.0, "test_acc": 0.9394, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:47.879711+00:00"}
|
| 61 |
+
{"epoch": 61, "train_loss": 0.041, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:51.220041+00:00"}
|
| 62 |
+
{"epoch": 62, "train_loss": 0.0463, "train_acc": 1.0, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:54.562583+00:00"}
|
| 63 |
+
{"epoch": 63, "train_loss": 0.046, "train_acc": 0.9991, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:52:57.898672+00:00"}
|
| 64 |
+
{"epoch": 64, "train_loss": 0.0405, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:01.236766+00:00"}
|
| 65 |
+
{"epoch": 65, "train_loss": 0.045, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:04.568919+00:00"}
|
| 66 |
+
{"epoch": 66, "train_loss": 0.0507, "train_acc": 0.9972, "test_acc": 0.9242, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:07.908675+00:00"}
|
| 67 |
+
{"epoch": 67, "train_loss": 0.0471, "train_acc": 0.9991, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:11.239107+00:00"}
|
| 68 |
+
{"epoch": 68, "train_loss": 0.0434, "train_acc": 0.9991, "test_acc": 0.9545, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:14.579106+00:00"}
|
| 69 |
+
{"epoch": 69, "train_loss": 0.0335, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:17.913421+00:00"}
|
| 70 |
+
{"epoch": 70, "train_loss": 0.032, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:21.253202+00:00"}
|
| 71 |
+
{"epoch": 71, "train_loss": 0.0361, "train_acc": 0.9981, "test_acc": 0.9508, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:24.598090+00:00"}
|
| 72 |
+
{"epoch": 72, "train_loss": 0.0357, "train_acc": 0.9991, "test_acc": 0.9545, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:27.938132+00:00"}
|
| 73 |
+
{"epoch": 73, "train_loss": 0.0287, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:31.270583+00:00"}
|
| 74 |
+
{"epoch": 74, "train_loss": 0.0348, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:34.601066+00:00"}
|
| 75 |
+
{"epoch": 75, "train_loss": 0.0331, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:37.932023+00:00"}
|
| 76 |
+
{"epoch": 76, "train_loss": 0.0413, "train_acc": 0.9981, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:41.260808+00:00"}
|
| 77 |
+
{"epoch": 77, "train_loss": 0.0322, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:53:44.589351+00:00"}
|
| 78 |
+
{"epoch": 78, "train_loss": 0.0317, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:47.925098+00:00"}
|
| 79 |
+
{"epoch": 79, "train_loss": 0.0277, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:51.262013+00:00"}
|
| 80 |
+
{"epoch": 80, "train_loss": 0.0307, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:53:54.622991+00:00"}
|
| 81 |
+
{"epoch": 81, "train_loss": 0.0285, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:53:57.969882+00:00"}
|
| 82 |
+
{"epoch": 82, "train_loss": 0.0289, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:01.319570+00:00"}
|
| 83 |
+
{"epoch": 83, "train_loss": 0.0261, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:04.667438+00:00"}
|
| 84 |
+
{"epoch": 84, "train_loss": 0.0273, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:08.012872+00:00"}
|
| 85 |
+
{"epoch": 85, "train_loss": 0.0267, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:11.367768+00:00"}
|
| 86 |
+
{"epoch": 86, "train_loss": 0.0267, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:14.717134+00:00"}
|
| 87 |
+
{"epoch": 87, "train_loss": 0.0239, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:54:18.072485+00:00"}
|
| 88 |
+
{"epoch": 88, "train_loss": 0.0263, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:21.421892+00:00"}
|
| 89 |
+
{"epoch": 89, "train_loss": 0.027, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:24.773728+00:00"}
|
| 90 |
+
{"epoch": 90, "train_loss": 0.0291, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:54:28.134188+00:00"}
|
| 91 |
+
{"epoch": 91, "train_loss": 0.0297, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:54:31.489010+00:00"}
|
| 92 |
+
{"epoch": 92, "train_loss": 0.0296, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.13, "timestamp": "2026-09-13T03:54:34.842185+00:00"}
|
| 93 |
+
{"epoch": 93, "train_loss": 0.0267, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:38.196219+00:00"}
|
| 94 |
+
{"epoch": 94, "train_loss": 0.0287, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:41.542491+00:00"}
|
| 95 |
+
{"epoch": 95, "train_loss": 0.0277, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:54:44.884377+00:00"}
|
| 96 |
+
{"epoch": 96, "train_loss": 0.0297, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.12, "timestamp": "2026-09-13T03:54:48.230131+00:00"}
|
| 97 |
+
{"epoch": 97, "train_loss": 0.0272, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:54:51.570150+00:00"}
|
| 98 |
+
{"epoch": 98, "train_loss": 0.0266, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:54:54.907720+00:00"}
|
| 99 |
+
{"epoch": 99, "train_loss": 0.0278, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.11, "timestamp": "2026-09-13T03:54:58.239829+00:00"}
|
| 100 |
+
{"epoch": 100, "train_loss": 0.0267, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.1, "timestamp": "2026-09-13T03:55:01.570506+00:00"}
|
ann_opt_delta/ann_opt_delta.summary.json
ADDED
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+
{
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+
"tag": "ann_opt_delta",
|
| 3 |
+
"opt_mode": "delta",
|
| 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 |
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"lr": 0.002,
|
| 11 |
+
"duration_s": 333.7,
|
| 12 |
+
"best": {
|
| 13 |
+
"epoch": 84,
|
| 14 |
+
"test_acc": 0.9697
|
| 15 |
+
},
|
| 16 |
+
"final_epoch_metrics": {
|
| 17 |
+
"epoch": 100,
|
| 18 |
+
"train_loss": 0.0267,
|
| 19 |
+
"train_acc": 1.0,
|
| 20 |
+
"test_acc": 0.9659,
|
| 21 |
+
"best_acc": 0.9697,
|
| 22 |
+
"avg_steps_executed": 16.0,
|
| 23 |
+
"sparsity": 0.0,
|
| 24 |
+
"time_sec": 3.1,
|
| 25 |
+
"timestamp": "2026-09-13T03:55:01.570506+00:00"
|
| 26 |
+
},
|
| 27 |
+
"zip": {
|
| 28 |
+
"name": "ann_opt_delta.zip",
|
| 29 |
+
"files": 12,
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| 30 |
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"bytes": 9843342,
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|
| 33 |
+
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|
| 34 |
+
}
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ann_opt_delta/ann_opt_delta.zip
ADDED
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