add ANN model run ann_opt_ttfs
Browse files
ann_opt_ttfs/ann_opt_ttfs.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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1,1.2958,0.6082,,0.3068,0.3068,1.9,2026-09-13T03:37:46.736429+00:00,8.0,0.0
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| 3 |
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2,0.931,0.7744,,0.5758,0.5758,1.51,2026-09-13T03:37:48.380893+00:00,8.0,0.0
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| 4 |
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3,0.7662,0.8589,,0.7614,0.7614,1.52,2026-09-13T03:37:50.038620+00:00,8.0,0.0
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| 5 |
+
4,0.6304,0.9164,,0.7765,0.7765,1.52,2026-09-13T03:37:51.693371+00:00,8.0,0.0
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| 6 |
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5,0.5411,0.9304,,0.8977,0.8977,1.53,2026-09-13T03:37:53.358207+00:00,8.0,0.0
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| 7 |
+
6,0.4826,0.9517,,0.8826,0.8977,1.53,2026-09-13T03:37:55.018871+00:00,8.0,0.0
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| 8 |
+
7,0.4616,0.9424,,0.8674,0.8977,1.53,2026-09-13T03:37:56.679882+00:00,8.0,0.0
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| 9 |
+
8,0.3833,0.9666,,0.9091,0.9091,1.53,2026-09-13T03:37:58.334723+00:00,8.0,0.0
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| 10 |
+
9,0.3271,0.9814,,0.9129,0.9129,1.53,2026-09-13T03:38:00.007384+00:00,8.0,0.0
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| 11 |
+
10,0.3521,0.9694,,0.9545,0.9545,1.53,2026-09-13T03:38:01.675496+00:00,8.0,0.0
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| 12 |
+
11,0.2851,0.9814,,0.9129,0.9545,1.54,2026-09-13T03:38:03.349108+00:00,8.0,0.0
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| 13 |
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12,0.3032,0.9675,,0.875,0.9545,1.54,2026-09-13T03:38:05.015488+00:00,8.0,0.0
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| 14 |
+
13,0.3002,0.9619,,0.8712,0.9545,1.54,2026-09-13T03:38:06.683114+00:00,8.0,0.0
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| 15 |
+
14,0.253,0.9796,,0.8977,0.9545,1.54,2026-09-13T03:38:08.351050+00:00,8.0,0.0
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| 16 |
+
15,0.2504,0.9768,,0.9205,0.9545,1.55,2026-09-13T03:38:10.030357+00:00,8.0,0.0
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| 17 |
+
16,0.2256,0.9768,,0.9318,0.9545,1.55,2026-09-13T03:38:11.709133+00:00,8.0,0.0
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| 18 |
+
17,0.1874,0.9907,,0.9318,0.9545,1.55,2026-09-13T03:38:13.391109+00:00,8.0,0.0
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| 19 |
+
18,0.1721,0.9916,,0.9318,0.9545,1.55,2026-09-13T03:38:15.072569+00:00,8.0,0.0
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| 20 |
+
19,0.1947,0.987,,0.875,0.9545,1.56,2026-09-13T03:38:16.766544+00:00,8.0,0.0
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| 21 |
+
20,0.1906,0.9861,,0.9356,0.9545,1.56,2026-09-13T03:38:18.458368+00:00,8.0,0.0
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| 22 |
+
21,0.1506,0.9916,,0.9432,0.9545,1.57,2026-09-13T03:38:20.159098+00:00,8.0,0.0
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| 23 |
+
22,0.1545,0.9907,,0.8939,0.9545,1.57,2026-09-13T03:38:21.859362+00:00,8.0,0.0
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| 24 |
+
23,0.1281,0.9954,,0.9318,0.9545,1.58,2026-09-13T03:38:23.563049+00:00,8.0,0.0
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| 25 |
+
24,0.1368,0.9926,,0.9432,0.9545,1.58,2026-09-13T03:38:25.272139+00:00,8.0,0.0
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| 26 |
+
25,0.1173,0.9935,,0.9432,0.9545,1.58,2026-09-13T03:38:26.990144+00:00,8.0,0.0
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| 27 |
+
26,0.1165,0.9981,,0.9432,0.9545,1.59,2026-09-13T03:38:28.703336+00:00,8.0,0.0
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| 28 |
+
27,0.102,1.0,,0.9356,0.9545,1.59,2026-09-13T03:38:30.425171+00:00,8.0,0.0
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| 29 |
+
28,0.1416,0.9814,,0.8977,0.9545,1.59,2026-09-13T03:38:32.145689+00:00,8.0,0.0
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| 30 |
+
29,0.1484,0.9861,,0.8409,0.9545,1.59,2026-09-13T03:38:33.870059+00:00,8.0,0.0
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| 31 |
+
30,0.1419,0.9805,,0.9015,0.9545,1.6,2026-09-13T03:38:35.593879+00:00,8.0,0.0
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| 32 |
+
31,0.1163,0.9926,,0.947,0.9545,1.59,2026-09-13T03:38:37.332259+00:00,8.0,0.0
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| 33 |
+
32,0.1085,0.9907,,0.9129,0.9545,1.6,2026-09-13T03:38:39.057487+00:00,8.0,0.0
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| 34 |
+
33,0.1158,0.9916,,0.9129,0.9545,1.59,2026-09-13T03:38:40.781864+00:00,8.0,0.0
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| 35 |
+
34,0.0978,0.9954,,0.9432,0.9545,1.59,2026-09-13T03:38:42.500267+00:00,8.0,0.0
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| 36 |
+
35,0.1101,0.9907,,0.9242,0.9545,1.58,2026-09-13T03:38:44.212008+00:00,8.0,0.0
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| 37 |
+
36,0.1032,0.9944,,0.9508,0.9545,1.58,2026-09-13T03:38:45.920861+00:00,8.0,0.0
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| 38 |
+
37,0.1072,0.9879,,0.9432,0.9545,1.58,2026-09-13T03:38:47.631611+00:00,8.0,0.0
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| 39 |
+
38,0.0938,0.9907,,0.9091,0.9545,1.57,2026-09-13T03:38:49.330589+00:00,8.0,0.0
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| 40 |
+
39,0.1018,0.9898,,0.9432,0.9545,1.57,2026-09-13T03:38:51.031959+00:00,8.0,0.0
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| 41 |
+
40,0.0829,0.9963,,0.947,0.9545,1.57,2026-09-13T03:38:52.726556+00:00,8.0,0.0
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| 42 |
+
41,0.0724,0.9963,,0.9242,0.9545,1.56,2026-09-13T03:38:54.417576+00:00,8.0,0.0
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| 43 |
+
42,0.0769,0.9972,,0.9356,0.9545,1.56,2026-09-13T03:38:56.106204+00:00,8.0,0.0
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| 44 |
+
43,0.0684,0.9963,,0.947,0.9545,1.56,2026-09-13T03:38:57.798980+00:00,8.0,0.0
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| 45 |
+
44,0.0692,0.9944,,0.9394,0.9545,1.56,2026-09-13T03:38:59.487925+00:00,8.0,0.0
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| 46 |
+
45,0.0612,0.9991,,0.9545,0.9545,1.55,2026-09-13T03:39:01.171781+00:00,8.0,0.0
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| 47 |
+
46,0.0522,0.9991,,0.9432,0.9545,1.56,2026-09-13T03:39:02.859577+00:00,8.0,0.0
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| 48 |
+
47,0.0458,0.9991,,0.947,0.9545,1.56,2026-09-13T03:39:04.546042+00:00,8.0,0.0
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| 49 |
+
48,0.0624,0.9944,,0.928,0.9545,1.55,2026-09-13T03:39:06.232375+00:00,8.0,0.0
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| 50 |
+
49,0.0489,1.0,,0.9583,0.9583,1.55,2026-09-13T03:39:07.918915+00:00,8.0,0.0
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| 51 |
+
50,0.0445,0.9991,,0.947,0.9583,1.55,2026-09-13T03:39:09.605503+00:00,8.0,0.0
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| 52 |
+
51,0.054,0.9981,,0.9356,0.9583,1.55,2026-09-13T03:39:11.287037+00:00,8.0,0.0
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| 53 |
+
52,0.0696,0.9963,,0.9394,0.9583,1.55,2026-09-13T03:39:12.968380+00:00,8.0,0.0
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| 54 |
+
53,0.0624,0.9935,,0.928,0.9583,1.55,2026-09-13T03:39:14.648690+00:00,8.0,0.0
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| 55 |
+
54,0.0566,0.9981,,0.9205,0.9583,1.55,2026-09-13T03:39:16.329609+00:00,8.0,0.0
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| 56 |
+
55,0.0511,0.9981,,0.9659,0.9659,1.55,2026-09-13T03:39:18.013365+00:00,8.0,0.0
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| 57 |
+
56,0.0461,1.0,,0.9621,0.9659,1.55,2026-09-13T03:39:19.698853+00:00,8.0,0.0
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| 58 |
+
57,0.0538,0.9963,,0.9432,0.9659,1.55,2026-09-13T03:39:21.383703+00:00,8.0,0.0
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| 59 |
+
58,0.0579,0.9981,,0.9394,0.9659,1.55,2026-09-13T03:39:23.067698+00:00,8.0,0.0
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| 60 |
+
59,0.0509,0.9972,,0.9432,0.9659,1.55,2026-09-13T03:39:24.748832+00:00,8.0,0.0
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| 61 |
+
60,0.0449,0.9991,,0.9508,0.9659,1.56,2026-09-13T03:39:26.439640+00:00,8.0,0.0
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| 62 |
+
61,0.0412,0.9991,,0.9621,0.9659,1.56,2026-09-13T03:39:28.129915+00:00,8.0,0.0
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| 63 |
+
62,0.0448,0.9991,,0.947,0.9659,1.56,2026-09-13T03:39:29.820613+00:00,8.0,0.0
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| 64 |
+
63,0.0405,0.9991,,0.9621,0.9659,1.56,2026-09-13T03:39:31.512823+00:00,8.0,0.0
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| 65 |
+
64,0.0341,0.9991,,0.9621,0.9659,1.56,2026-09-13T03:39:33.204416+00:00,8.0,0.0
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| 66 |
+
65,0.0346,0.9981,,0.9583,0.9659,1.57,2026-09-13T03:39:34.898096+00:00,8.0,0.0
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| 67 |
+
66,0.045,0.9991,,0.9508,0.9659,1.57,2026-09-13T03:39:36.596459+00:00,8.0,0.0
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| 68 |
+
67,0.0389,1.0,,0.9621,0.9659,1.57,2026-09-13T03:39:38.296910+00:00,8.0,0.0
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| 69 |
+
68,0.0324,0.9991,,0.9659,0.9659,1.57,2026-09-13T03:39:39.996451+00:00,8.0,0.0
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| 70 |
+
69,0.0328,0.9991,,0.9356,0.9659,1.57,2026-09-13T03:39:41.703762+00:00,8.0,0.0
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| 71 |
+
70,0.033,0.9991,,0.9583,0.9659,1.57,2026-09-13T03:39:43.410915+00:00,8.0,0.0
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| 72 |
+
71,0.0289,1.0,,0.9659,0.9659,1.58,2026-09-13T03:39:45.116491+00:00,8.0,0.0
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| 73 |
+
72,0.0275,1.0,,0.9621,0.9659,1.58,2026-09-13T03:39:46.822291+00:00,8.0,0.0
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| 74 |
+
73,0.0245,1.0,,0.9697,0.9697,1.58,2026-09-13T03:39:48.529926+00:00,8.0,0.0
|
| 75 |
+
74,0.0298,0.9991,,0.9697,0.9697,1.57,2026-09-13T03:39:50.237534+00:00,8.0,0.0
|
| 76 |
+
75,0.0345,0.9981,,0.9621,0.9697,1.57,2026-09-13T03:39:51.950378+00:00,8.0,0.0
|
| 77 |
+
76,0.0306,1.0,,0.9583,0.9697,1.58,2026-09-13T03:39:53.659091+00:00,8.0,0.0
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| 78 |
+
77,0.0278,1.0,,0.9545,0.9697,1.58,2026-09-13T03:39:55.365421+00:00,8.0,0.0
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| 79 |
+
78,0.0275,1.0,,0.9659,0.9697,1.57,2026-09-13T03:39:57.067248+00:00,8.0,0.0
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| 80 |
+
79,0.0238,1.0,,0.9583,0.9697,1.58,2026-09-13T03:39:58.773535+00:00,8.0,0.0
|
| 81 |
+
80,0.0262,1.0,,0.9621,0.9697,1.58,2026-09-13T03:40:00.478336+00:00,8.0,0.0
|
| 82 |
+
81,0.024,1.0,,0.9735,0.9735,1.57,2026-09-13T03:40:02.185210+00:00,8.0,0.0
|
| 83 |
+
82,0.0243,1.0,,0.9697,0.9735,1.57,2026-09-13T03:40:03.891103+00:00,8.0,0.0
|
| 84 |
+
83,0.0222,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:05.590562+00:00,8.0,0.0
|
| 85 |
+
84,0.0237,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:07.292710+00:00,8.0,0.0
|
| 86 |
+
85,0.0234,1.0,,0.9621,0.9735,1.57,2026-09-13T03:40:08.989975+00:00,8.0,0.0
|
| 87 |
+
86,0.0228,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:10.686932+00:00,8.0,0.0
|
| 88 |
+
87,0.0198,1.0,,0.9583,0.9735,1.57,2026-09-13T03:40:12.384985+00:00,8.0,0.0
|
| 89 |
+
88,0.0217,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:14.083787+00:00,8.0,0.0
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| 90 |
+
89,0.022,1.0,,0.9621,0.9735,1.57,2026-09-13T03:40:15.778345+00:00,8.0,0.0
|
| 91 |
+
90,0.0241,1.0,,0.9621,0.9735,1.56,2026-09-13T03:40:17.472006+00:00,8.0,0.0
|
| 92 |
+
91,0.0248,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:19.167002+00:00,8.0,0.0
|
| 93 |
+
92,0.025,1.0,,0.9659,0.9735,1.56,2026-09-13T03:40:20.858431+00:00,8.0,0.0
|
| 94 |
+
93,0.0227,1.0,,0.9697,0.9735,1.56,2026-09-13T03:40:22.549491+00:00,8.0,0.0
|
| 95 |
+
94,0.0244,1.0,,0.9659,0.9735,1.56,2026-09-13T03:40:24.242410+00:00,8.0,0.0
|
| 96 |
+
95,0.0236,1.0,,0.9659,0.9735,1.56,2026-09-13T03:40:25.929661+00:00,8.0,0.0
|
| 97 |
+
96,0.0254,1.0,,0.9621,0.9735,1.56,2026-09-13T03:40:27.621355+00:00,8.0,0.0
|
| 98 |
+
97,0.0229,1.0,,0.9621,0.9735,1.56,2026-09-13T03:40:29.313072+00:00,8.0,0.0
|
| 99 |
+
98,0.0227,1.0,,0.9697,0.9735,1.56,2026-09-13T03:40:31.002715+00:00,8.0,0.0
|
| 100 |
+
99,0.0241,1.0,,0.9621,0.9735,1.56,2026-09-13T03:40:32.696530+00:00,8.0,0.0
|
| 101 |
+
100,0.0225,1.0,,0.9659,0.9735,1.57,2026-09-13T03:40:34.393824+00:00,8.0,0.0
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ann_opt_ttfs/ann_opt_ttfs.epochs.jsonl
ADDED
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| 1 |
+
{"epoch": 1, "train_loss": 1.2958, "train_acc": 0.6082, "test_acc": 0.3068, "best_acc": 0.3068, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.9, "timestamp": "2026-09-13T03:37:46.736429+00:00"}
|
| 2 |
+
{"epoch": 2, "train_loss": 0.931, "train_acc": 0.7744, "test_acc": 0.5758, "best_acc": 0.5758, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.51, "timestamp": "2026-09-13T03:37:48.380893+00:00"}
|
| 3 |
+
{"epoch": 3, "train_loss": 0.7662, "train_acc": 0.8589, "test_acc": 0.7614, "best_acc": 0.7614, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.52, "timestamp": "2026-09-13T03:37:50.038620+00:00"}
|
| 4 |
+
{"epoch": 4, "train_loss": 0.6304, "train_acc": 0.9164, "test_acc": 0.7765, "best_acc": 0.7765, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.52, "timestamp": "2026-09-13T03:37:51.693371+00:00"}
|
| 5 |
+
{"epoch": 5, "train_loss": 0.5411, "train_acc": 0.9304, "test_acc": 0.8977, "best_acc": 0.8977, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:37:53.358207+00:00"}
|
| 6 |
+
{"epoch": 6, "train_loss": 0.4826, "train_acc": 0.9517, "test_acc": 0.8826, "best_acc": 0.8977, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:37:55.018871+00:00"}
|
| 7 |
+
{"epoch": 7, "train_loss": 0.4616, "train_acc": 0.9424, "test_acc": 0.8674, "best_acc": 0.8977, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:37:56.679882+00:00"}
|
| 8 |
+
{"epoch": 8, "train_loss": 0.3833, "train_acc": 0.9666, "test_acc": 0.9091, "best_acc": 0.9091, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:37:58.334723+00:00"}
|
| 9 |
+
{"epoch": 9, "train_loss": 0.3271, "train_acc": 0.9814, "test_acc": 0.9129, "best_acc": 0.9129, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:38:00.007384+00:00"}
|
| 10 |
+
{"epoch": 10, "train_loss": 0.3521, "train_acc": 0.9694, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.53, "timestamp": "2026-09-13T03:38:01.675496+00:00"}
|
| 11 |
+
{"epoch": 11, "train_loss": 0.2851, "train_acc": 0.9814, "test_acc": 0.9129, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.54, "timestamp": "2026-09-13T03:38:03.349108+00:00"}
|
| 12 |
+
{"epoch": 12, "train_loss": 0.3032, "train_acc": 0.9675, "test_acc": 0.875, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.54, "timestamp": "2026-09-13T03:38:05.015488+00:00"}
|
| 13 |
+
{"epoch": 13, "train_loss": 0.3002, "train_acc": 0.9619, "test_acc": 0.8712, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.54, "timestamp": "2026-09-13T03:38:06.683114+00:00"}
|
| 14 |
+
{"epoch": 14, "train_loss": 0.253, "train_acc": 0.9796, "test_acc": 0.8977, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.54, "timestamp": "2026-09-13T03:38:08.351050+00:00"}
|
| 15 |
+
{"epoch": 15, "train_loss": 0.2504, "train_acc": 0.9768, "test_acc": 0.9205, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:38:10.030357+00:00"}
|
| 16 |
+
{"epoch": 16, "train_loss": 0.2256, "train_acc": 0.9768, "test_acc": 0.9318, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:38:11.709133+00:00"}
|
| 17 |
+
{"epoch": 17, "train_loss": 0.1874, "train_acc": 0.9907, "test_acc": 0.9318, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:38:13.391109+00:00"}
|
| 18 |
+
{"epoch": 18, "train_loss": 0.1721, "train_acc": 0.9916, "test_acc": 0.9318, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:38:15.072569+00:00"}
|
| 19 |
+
{"epoch": 19, "train_loss": 0.1947, "train_acc": 0.987, "test_acc": 0.875, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:16.766544+00:00"}
|
| 20 |
+
{"epoch": 20, "train_loss": 0.1906, "train_acc": 0.9861, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:18.458368+00:00"}
|
| 21 |
+
{"epoch": 21, "train_loss": 0.1506, "train_acc": 0.9916, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:38:20.159098+00:00"}
|
| 22 |
+
{"epoch": 22, "train_loss": 0.1545, "train_acc": 0.9907, "test_acc": 0.8939, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:38:21.859362+00:00"}
|
| 23 |
+
{"epoch": 23, "train_loss": 0.1281, "train_acc": 0.9954, "test_acc": 0.9318, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:23.563049+00:00"}
|
| 24 |
+
{"epoch": 24, "train_loss": 0.1368, "train_acc": 0.9926, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:25.272139+00:00"}
|
| 25 |
+
{"epoch": 25, "train_loss": 0.1173, "train_acc": 0.9935, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:26.990144+00:00"}
|
| 26 |
+
{"epoch": 26, "train_loss": 0.1165, "train_acc": 0.9981, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:28.703336+00:00"}
|
| 27 |
+
{"epoch": 27, "train_loss": 0.102, "train_acc": 1.0, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:30.425171+00:00"}
|
| 28 |
+
{"epoch": 28, "train_loss": 0.1416, "train_acc": 0.9814, "test_acc": 0.8977, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:32.145689+00:00"}
|
| 29 |
+
{"epoch": 29, "train_loss": 0.1484, "train_acc": 0.9861, "test_acc": 0.8409, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:33.870059+00:00"}
|
| 30 |
+
{"epoch": 30, "train_loss": 0.1419, "train_acc": 0.9805, "test_acc": 0.9015, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.6, "timestamp": "2026-09-13T03:38:35.593879+00:00"}
|
| 31 |
+
{"epoch": 31, "train_loss": 0.1163, "train_acc": 0.9926, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:37.332259+00:00"}
|
| 32 |
+
{"epoch": 32, "train_loss": 0.1085, "train_acc": 0.9907, "test_acc": 0.9129, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.6, "timestamp": "2026-09-13T03:38:39.057487+00:00"}
|
| 33 |
+
{"epoch": 33, "train_loss": 0.1158, "train_acc": 0.9916, "test_acc": 0.9129, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:40.781864+00:00"}
|
| 34 |
+
{"epoch": 34, "train_loss": 0.0978, "train_acc": 0.9954, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.59, "timestamp": "2026-09-13T03:38:42.500267+00:00"}
|
| 35 |
+
{"epoch": 35, "train_loss": 0.1101, "train_acc": 0.9907, "test_acc": 0.9242, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:44.212008+00:00"}
|
| 36 |
+
{"epoch": 36, "train_loss": 0.1032, "train_acc": 0.9944, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:45.920861+00:00"}
|
| 37 |
+
{"epoch": 37, "train_loss": 0.1072, "train_acc": 0.9879, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:38:47.631611+00:00"}
|
| 38 |
+
{"epoch": 38, "train_loss": 0.0938, "train_acc": 0.9907, "test_acc": 0.9091, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:38:49.330589+00:00"}
|
| 39 |
+
{"epoch": 39, "train_loss": 0.1018, "train_acc": 0.9898, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:38:51.031959+00:00"}
|
| 40 |
+
{"epoch": 40, "train_loss": 0.0829, "train_acc": 0.9963, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:38:52.726556+00:00"}
|
| 41 |
+
{"epoch": 41, "train_loss": 0.0724, "train_acc": 0.9963, "test_acc": 0.9242, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:54.417576+00:00"}
|
| 42 |
+
{"epoch": 42, "train_loss": 0.0769, "train_acc": 0.9972, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:56.106204+00:00"}
|
| 43 |
+
{"epoch": 43, "train_loss": 0.0684, "train_acc": 0.9963, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:57.798980+00:00"}
|
| 44 |
+
{"epoch": 44, "train_loss": 0.0692, "train_acc": 0.9944, "test_acc": 0.9394, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:38:59.487925+00:00"}
|
| 45 |
+
{"epoch": 45, "train_loss": 0.0612, "train_acc": 0.9991, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:01.171781+00:00"}
|
| 46 |
+
{"epoch": 46, "train_loss": 0.0522, "train_acc": 0.9991, "test_acc": 0.9432, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:02.859577+00:00"}
|
| 47 |
+
{"epoch": 47, "train_loss": 0.0458, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:04.546042+00:00"}
|
| 48 |
+
{"epoch": 48, "train_loss": 0.0624, "train_acc": 0.9944, "test_acc": 0.928, "best_acc": 0.9545, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:06.232375+00:00"}
|
| 49 |
+
{"epoch": 49, "train_loss": 0.0489, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:07.918915+00:00"}
|
| 50 |
+
{"epoch": 50, "train_loss": 0.0445, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:09.605503+00:00"}
|
| 51 |
+
{"epoch": 51, "train_loss": 0.054, "train_acc": 0.9981, "test_acc": 0.9356, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:11.287037+00:00"}
|
| 52 |
+
{"epoch": 52, "train_loss": 0.0696, "train_acc": 0.9963, "test_acc": 0.9394, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:12.968380+00:00"}
|
| 53 |
+
{"epoch": 53, "train_loss": 0.0624, "train_acc": 0.9935, "test_acc": 0.928, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:14.648690+00:00"}
|
| 54 |
+
{"epoch": 54, "train_loss": 0.0566, "train_acc": 0.9981, "test_acc": 0.9205, "best_acc": 0.9583, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:16.329609+00:00"}
|
| 55 |
+
{"epoch": 55, "train_loss": 0.0511, "train_acc": 0.9981, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:18.013365+00:00"}
|
| 56 |
+
{"epoch": 56, "train_loss": 0.0461, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:19.698853+00:00"}
|
| 57 |
+
{"epoch": 57, "train_loss": 0.0538, "train_acc": 0.9963, "test_acc": 0.9432, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:21.383703+00:00"}
|
| 58 |
+
{"epoch": 58, "train_loss": 0.0579, "train_acc": 0.9981, "test_acc": 0.9394, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:23.067698+00:00"}
|
| 59 |
+
{"epoch": 59, "train_loss": 0.0509, "train_acc": 0.9972, "test_acc": 0.9432, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.55, "timestamp": "2026-09-13T03:39:24.748832+00:00"}
|
| 60 |
+
{"epoch": 60, "train_loss": 0.0449, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:26.439640+00:00"}
|
| 61 |
+
{"epoch": 61, "train_loss": 0.0412, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:28.129915+00:00"}
|
| 62 |
+
{"epoch": 62, "train_loss": 0.0448, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:29.820613+00:00"}
|
| 63 |
+
{"epoch": 63, "train_loss": 0.0405, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:31.512823+00:00"}
|
| 64 |
+
{"epoch": 64, "train_loss": 0.0341, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:39:33.204416+00:00"}
|
| 65 |
+
{"epoch": 65, "train_loss": 0.0346, "train_acc": 0.9981, "test_acc": 0.9583, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:34.898096+00:00"}
|
| 66 |
+
{"epoch": 66, "train_loss": 0.045, "train_acc": 0.9991, "test_acc": 0.9508, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:36.596459+00:00"}
|
| 67 |
+
{"epoch": 67, "train_loss": 0.0389, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:38.296910+00:00"}
|
| 68 |
+
{"epoch": 68, "train_loss": 0.0324, "train_acc": 0.9991, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:39.996451+00:00"}
|
| 69 |
+
{"epoch": 69, "train_loss": 0.0328, "train_acc": 0.9991, "test_acc": 0.9356, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:41.703762+00:00"}
|
| 70 |
+
{"epoch": 70, "train_loss": 0.033, "train_acc": 0.9991, "test_acc": 0.9583, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:43.410915+00:00"}
|
| 71 |
+
{"epoch": 71, "train_loss": 0.0289, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:45.116491+00:00"}
|
| 72 |
+
{"epoch": 72, "train_loss": 0.0275, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9659, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:46.822291+00:00"}
|
| 73 |
+
{"epoch": 73, "train_loss": 0.0245, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:48.529926+00:00"}
|
| 74 |
+
{"epoch": 74, "train_loss": 0.0298, "train_acc": 0.9991, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:50.237534+00:00"}
|
| 75 |
+
{"epoch": 75, "train_loss": 0.0345, "train_acc": 0.9981, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:51.950378+00:00"}
|
| 76 |
+
{"epoch": 76, "train_loss": 0.0306, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:53.659091+00:00"}
|
| 77 |
+
{"epoch": 77, "train_loss": 0.0278, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:55.365421+00:00"}
|
| 78 |
+
{"epoch": 78, "train_loss": 0.0275, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:39:57.067248+00:00"}
|
| 79 |
+
{"epoch": 79, "train_loss": 0.0238, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:39:58.773535+00:00"}
|
| 80 |
+
{"epoch": 80, "train_loss": 0.0262, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.58, "timestamp": "2026-09-13T03:40:00.478336+00:00"}
|
| 81 |
+
{"epoch": 81, "train_loss": 0.024, "train_acc": 1.0, "test_acc": 0.9735, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:02.185210+00:00"}
|
| 82 |
+
{"epoch": 82, "train_loss": 0.0243, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:03.891103+00:00"}
|
| 83 |
+
{"epoch": 83, "train_loss": 0.0222, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:05.590562+00:00"}
|
| 84 |
+
{"epoch": 84, "train_loss": 0.0237, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:07.292710+00:00"}
|
| 85 |
+
{"epoch": 85, "train_loss": 0.0234, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:08.989975+00:00"}
|
| 86 |
+
{"epoch": 86, "train_loss": 0.0228, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:10.686932+00:00"}
|
| 87 |
+
{"epoch": 87, "train_loss": 0.0198, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:12.384985+00:00"}
|
| 88 |
+
{"epoch": 88, "train_loss": 0.0217, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:14.083787+00:00"}
|
| 89 |
+
{"epoch": 89, "train_loss": 0.022, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:15.778345+00:00"}
|
| 90 |
+
{"epoch": 90, "train_loss": 0.0241, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:17.472006+00:00"}
|
| 91 |
+
{"epoch": 91, "train_loss": 0.0248, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:19.167002+00:00"}
|
| 92 |
+
{"epoch": 92, "train_loss": 0.025, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:20.858431+00:00"}
|
| 93 |
+
{"epoch": 93, "train_loss": 0.0227, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:22.549491+00:00"}
|
| 94 |
+
{"epoch": 94, "train_loss": 0.0244, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:24.242410+00:00"}
|
| 95 |
+
{"epoch": 95, "train_loss": 0.0236, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:25.929661+00:00"}
|
| 96 |
+
{"epoch": 96, "train_loss": 0.0254, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:27.621355+00:00"}
|
| 97 |
+
{"epoch": 97, "train_loss": 0.0229, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:29.313072+00:00"}
|
| 98 |
+
{"epoch": 98, "train_loss": 0.0227, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:31.002715+00:00"}
|
| 99 |
+
{"epoch": 99, "train_loss": 0.0241, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.56, "timestamp": "2026-09-13T03:40:32.696530+00:00"}
|
| 100 |
+
{"epoch": 100, "train_loss": 0.0225, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9735, "avg_steps_executed": 8.0, "sparsity": 0.0, "time_sec": 1.57, "timestamp": "2026-09-13T03:40:34.393824+00:00"}
|
ann_opt_ttfs/ann_opt_ttfs.summary.json
ADDED
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@@ -0,0 +1,34 @@
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| 1 |
+
{
|
| 2 |
+
"tag": "ann_opt_ttfs",
|
| 3 |
+
"opt_mode": "ttfs",
|
| 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": 169.7,
|
| 12 |
+
"best": {
|
| 13 |
+
"epoch": 81,
|
| 14 |
+
"test_acc": 0.9735
|
| 15 |
+
},
|
| 16 |
+
"final_epoch_metrics": {
|
| 17 |
+
"epoch": 100,
|
| 18 |
+
"train_loss": 0.0225,
|
| 19 |
+
"train_acc": 1.0,
|
| 20 |
+
"test_acc": 0.9659,
|
| 21 |
+
"best_acc": 0.9735,
|
| 22 |
+
"avg_steps_executed": 8.0,
|
| 23 |
+
"sparsity": 0.0,
|
| 24 |
+
"time_sec": 1.57,
|
| 25 |
+
"timestamp": "2026-09-13T03:40:34.393824+00:00"
|
| 26 |
+
},
|
| 27 |
+
"zip": {
|
| 28 |
+
"name": "ann_opt_ttfs.zip",
|
| 29 |
+
"files": 12,
|
| 30 |
+
"bytes": 9802642,
|
| 31 |
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"MB": 9.8,
|
| 32 |
+
"sha256": "5100effaa0334cdc5af2a8facd1019fadd8696cd8961b105fd782c602dcecb96"
|
| 33 |
+
}
|
| 34 |
+
}
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ann_opt_ttfs/ann_opt_ttfs.zip
ADDED
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+
version https://git-lfs.github.com/spec/v1
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