add ANN model run ann_opt_ftbc
Browse files
ann_opt_ftbc/ann_opt_ftbc.epochs.csv
ADDED
|
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
epoch,train_loss,train_acc,test_loss,test_acc,best_acc,time_sec,timestamp,avg_steps_executed,sparsity
|
| 2 |
+
1,1.2792,0.6072,,0.3636,0.3636,3.54,2026-09-13T03:52:27.347629+00:00,16.0,0.0
|
| 3 |
+
2,0.9159,0.7762,,0.6515,0.6515,3.22,2026-09-13T03:52:30.825375+00:00,16.0,0.0
|
| 4 |
+
3,0.7728,0.8533,,0.6098,0.6515,3.23,2026-09-13T03:52:34.322887+00:00,16.0,0.0
|
| 5 |
+
4,0.6583,0.8951,,0.7879,0.7879,3.25,2026-09-13T03:52:37.831574+00:00,16.0,0.0
|
| 6 |
+
5,0.5527,0.9322,,0.9129,0.9129,3.27,2026-09-13T03:52:41.361668+00:00,16.0,0.0
|
| 7 |
+
6,0.4778,0.9499,,0.8409,0.9129,3.27,2026-09-13T03:52:44.901779+00:00,16.0,0.0
|
| 8 |
+
7,0.4505,0.9517,,0.8826,0.9129,3.3,2026-09-13T03:52:48.457456+00:00,16.0,0.0
|
| 9 |
+
8,0.3835,0.9629,,0.9318,0.9318,3.31,2026-09-13T03:52:52.029761+00:00,16.0,0.0
|
| 10 |
+
9,0.3364,0.9777,,0.9394,0.9394,3.33,2026-09-13T03:52:55.624768+00:00,16.0,0.0
|
| 11 |
+
10,0.3562,0.9656,,0.9432,0.9432,3.35,2026-09-13T03:52:59.239655+00:00,16.0,0.0
|
| 12 |
+
11,0.2869,0.987,,0.928,0.9432,3.37,2026-09-13T03:53:02.881702+00:00,16.0,0.0
|
| 13 |
+
12,0.2888,0.9824,,0.928,0.9432,3.41,2026-09-13T03:53:06.549042+00:00,16.0,0.0
|
| 14 |
+
13,0.2674,0.9814,,0.928,0.9432,3.4,2026-09-13T03:53:10.216922+00:00,16.0,0.0
|
| 15 |
+
14,0.2406,0.9861,,0.9015,0.9432,3.4,2026-09-13T03:53:13.898221+00:00,16.0,0.0
|
| 16 |
+
15,0.2397,0.9824,,0.928,0.9432,3.43,2026-09-13T03:53:17.592072+00:00,16.0,0.0
|
| 17 |
+
16,0.2221,0.9814,,0.9015,0.9432,3.45,2026-09-13T03:53:21.304693+00:00,16.0,0.0
|
| 18 |
+
17,0.1987,0.9833,,0.928,0.9432,3.47,2026-09-13T03:53:25.044593+00:00,16.0,0.0
|
| 19 |
+
18,0.1807,0.9944,,0.9242,0.9432,3.49,2026-09-13T03:53:28.807023+00:00,16.0,0.0
|
| 20 |
+
19,0.2045,0.9824,,0.8864,0.9432,3.48,2026-09-13T03:53:32.555010+00:00,16.0,0.0
|
| 21 |
+
20,0.1836,0.987,,0.9394,0.9432,3.46,2026-09-13T03:53:36.280056+00:00,16.0,0.0
|
| 22 |
+
21,0.1392,0.9926,,0.9091,0.9432,3.43,2026-09-13T03:53:39.980616+00:00,16.0,0.0
|
| 23 |
+
22,0.1466,0.9907,,0.9205,0.9432,3.42,2026-09-13T03:53:43.667186+00:00,16.0,0.0
|
| 24 |
+
23,0.1303,0.9926,,0.928,0.9432,3.4,2026-09-13T03:53:47.330069+00:00,16.0,0.0
|
| 25 |
+
24,0.1428,0.9907,,0.8864,0.9432,3.41,2026-09-13T03:53:51.003800+00:00,16.0,0.0
|
| 26 |
+
25,0.1254,0.9916,,0.9432,0.9432,3.4,2026-09-13T03:53:54.667219+00:00,16.0,0.0
|
| 27 |
+
26,0.1294,0.9916,,0.9545,0.9545,3.39,2026-09-13T03:53:58.332655+00:00,16.0,0.0
|
| 28 |
+
27,0.1194,0.9981,,0.9394,0.9545,3.39,2026-09-13T03:54:01.993822+00:00,16.0,0.0
|
| 29 |
+
28,0.1349,0.9842,,0.928,0.9545,3.37,2026-09-13T03:54:05.623747+00:00,16.0,0.0
|
| 30 |
+
29,0.1428,0.9842,,0.8674,0.9545,3.37,2026-09-13T03:54:09.258207+00:00,16.0,0.0
|
| 31 |
+
30,0.1346,0.987,,0.875,0.9545,3.36,2026-09-13T03:54:12.883735+00:00,16.0,0.0
|
| 32 |
+
31,0.1226,0.9907,,0.9356,0.9545,3.38,2026-09-13T03:54:16.522318+00:00,16.0,0.0
|
| 33 |
+
32,0.0971,0.9963,,0.9129,0.9545,3.39,2026-09-13T03:54:20.174548+00:00,16.0,0.0
|
| 34 |
+
33,0.0982,0.9954,,0.9508,0.9545,3.39,2026-09-13T03:54:23.824646+00:00,16.0,0.0
|
| 35 |
+
34,0.0927,0.9954,,0.7462,0.9545,3.4,2026-09-13T03:54:27.490450+00:00,16.0,0.0
|
| 36 |
+
35,0.1067,0.9916,,0.9091,0.9545,3.4,2026-09-13T03:54:31.158254+00:00,16.0,0.0
|
| 37 |
+
36,0.1075,0.9898,,0.8561,0.9545,3.4,2026-09-13T03:54:34.826991+00:00,16.0,0.0
|
| 38 |
+
37,0.1045,0.9944,,0.928,0.9545,3.4,2026-09-13T03:54:38.500541+00:00,16.0,0.0
|
| 39 |
+
38,0.1072,0.9879,,0.9242,0.9545,3.42,2026-09-13T03:54:42.181142+00:00,16.0,0.0
|
| 40 |
+
39,0.0937,0.9954,,0.9508,0.9545,3.42,2026-09-13T03:54:45.864558+00:00,16.0,0.0
|
| 41 |
+
40,0.0742,0.9991,,0.947,0.9545,3.42,2026-09-13T03:54:49.552994+00:00,16.0,0.0
|
| 42 |
+
41,0.0731,0.9963,,0.9508,0.9545,3.42,2026-09-13T03:54:53.234017+00:00,16.0,0.0
|
| 43 |
+
42,0.0756,0.9935,,0.9356,0.9545,3.41,2026-09-13T03:54:56.909087+00:00,16.0,0.0
|
| 44 |
+
43,0.0587,0.9991,,0.9508,0.9545,3.41,2026-09-13T03:55:00.582003+00:00,16.0,0.0
|
| 45 |
+
44,0.0635,0.9981,,0.9356,0.9545,3.41,2026-09-13T03:55:04.260216+00:00,16.0,0.0
|
| 46 |
+
45,0.0577,0.9981,,0.9545,0.9545,3.4,2026-09-13T03:55:07.923204+00:00,16.0,0.0
|
| 47 |
+
46,0.0549,0.9972,,0.9621,0.9621,3.4,2026-09-13T03:55:11.584931+00:00,16.0,0.0
|
| 48 |
+
47,0.048,1.0,,0.9621,0.9621,3.39,2026-09-13T03:55:15.248352+00:00,16.0,0.0
|
| 49 |
+
48,0.0648,0.9963,,0.9129,0.9621,3.4,2026-09-13T03:55:18.914302+00:00,16.0,0.0
|
| 50 |
+
49,0.058,0.9991,,0.947,0.9621,3.4,2026-09-13T03:55:22.577983+00:00,16.0,0.0
|
| 51 |
+
50,0.0585,0.9963,,0.947,0.9621,3.4,2026-09-13T03:55:26.240945+00:00,16.0,0.0
|
| 52 |
+
51,0.0749,0.9935,,0.947,0.9621,3.4,2026-09-13T03:55:29.905950+00:00,16.0,0.0
|
| 53 |
+
52,0.0844,0.9926,,0.9432,0.9621,3.4,2026-09-13T03:55:33.569054+00:00,16.0,0.0
|
| 54 |
+
53,0.0643,0.9954,,0.9356,0.9621,3.4,2026-09-13T03:55:37.231215+00:00,16.0,0.0
|
| 55 |
+
54,0.0668,0.9935,,0.9583,0.9621,3.4,2026-09-13T03:55:40.890955+00:00,16.0,0.0
|
| 56 |
+
55,0.0668,0.9991,,0.9583,0.9621,3.4,2026-09-13T03:55:44.553208+00:00,16.0,0.0
|
| 57 |
+
56,0.0597,0.9972,,0.9242,0.9621,3.4,2026-09-13T03:55:48.218264+00:00,16.0,0.0
|
| 58 |
+
57,0.0652,0.9944,,0.9053,0.9621,3.4,2026-09-13T03:55:51.880592+00:00,16.0,0.0
|
| 59 |
+
58,0.0646,0.9954,,0.9242,0.9621,3.41,2026-09-13T03:55:55.551866+00:00,16.0,0.0
|
| 60 |
+
59,0.0542,1.0,,0.9394,0.9621,3.4,2026-09-13T03:55:59.218990+00:00,16.0,0.0
|
| 61 |
+
60,0.0438,0.9991,,0.9621,0.9621,3.41,2026-09-13T03:56:02.889079+00:00,16.0,0.0
|
| 62 |
+
61,0.0357,1.0,,0.9583,0.9621,3.4,2026-09-13T03:56:06.552100+00:00,16.0,0.0
|
| 63 |
+
62,0.0328,1.0,,0.9583,0.9621,3.4,2026-09-13T03:56:10.214815+00:00,16.0,0.0
|
| 64 |
+
63,0.0309,1.0,,0.9583,0.9621,3.4,2026-09-13T03:56:13.898606+00:00,16.0,0.0
|
| 65 |
+
64,0.0313,1.0,,0.9621,0.9621,3.4,2026-09-13T03:56:17.560919+00:00,16.0,0.0
|
| 66 |
+
65,0.0357,0.9972,,0.9545,0.9621,3.4,2026-09-13T03:56:21.222000+00:00,16.0,0.0
|
| 67 |
+
66,0.0569,0.9963,,0.9508,0.9621,3.39,2026-09-13T03:56:24.881610+00:00,16.0,0.0
|
| 68 |
+
67,0.0446,0.9981,,0.9621,0.9621,3.4,2026-09-13T03:56:28.543872+00:00,16.0,0.0
|
| 69 |
+
68,0.0376,1.0,,0.9432,0.9621,3.4,2026-09-13T03:56:32.203805+00:00,16.0,0.0
|
| 70 |
+
69,0.034,0.9981,,0.9583,0.9621,3.4,2026-09-13T03:56:35.863797+00:00,16.0,0.0
|
| 71 |
+
70,0.0312,1.0,,0.9545,0.9621,3.4,2026-09-13T03:56:39.522487+00:00,16.0,0.0
|
| 72 |
+
71,0.0324,0.9991,,0.9545,0.9621,3.4,2026-09-13T03:56:43.186807+00:00,16.0,0.0
|
| 73 |
+
72,0.0297,1.0,,0.9583,0.9621,3.4,2026-09-13T03:56:46.852763+00:00,16.0,0.0
|
| 74 |
+
73,0.0258,1.0,,0.9621,0.9621,3.4,2026-09-13T03:56:50.517783+00:00,16.0,0.0
|
| 75 |
+
74,0.0306,1.0,,0.9621,0.9621,3.4,2026-09-13T03:56:54.186419+00:00,16.0,0.0
|
| 76 |
+
75,0.0289,0.9991,,0.9621,0.9621,3.4,2026-09-13T03:56:57.852239+00:00,16.0,0.0
|
| 77 |
+
76,0.027,1.0,,0.9621,0.9621,3.41,2026-09-13T03:57:01.523117+00:00,16.0,0.0
|
| 78 |
+
77,0.0265,1.0,,0.9659,0.9659,3.41,2026-09-13T03:57:05.193096+00:00,16.0,0.0
|
| 79 |
+
78,0.0266,1.0,,0.9659,0.9659,3.4,2026-09-13T03:57:08.865723+00:00,16.0,0.0
|
| 80 |
+
79,0.0238,1.0,,0.9697,0.9697,3.4,2026-09-13T03:57:12.534489+00:00,16.0,0.0
|
| 81 |
+
80,0.0265,1.0,,0.9659,0.9697,3.4,2026-09-13T03:57:16.201148+00:00,16.0,0.0
|
| 82 |
+
81,0.0242,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:19.867329+00:00,16.0,0.0
|
| 83 |
+
82,0.0248,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:23.531971+00:00,16.0,0.0
|
| 84 |
+
83,0.0223,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:27.195096+00:00,16.0,0.0
|
| 85 |
+
84,0.0235,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:30.859915+00:00,16.0,0.0
|
| 86 |
+
85,0.0234,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:34.522627+00:00,16.0,0.0
|
| 87 |
+
86,0.0231,1.0,,0.9659,0.9697,3.4,2026-09-13T03:57:38.184966+00:00,16.0,0.0
|
| 88 |
+
87,0.0202,1.0,,0.9621,0.9697,3.4,2026-09-13T03:57:41.849043+00:00,16.0,0.0
|
| 89 |
+
88,0.0238,0.9991,,0.9697,0.9697,3.4,2026-09-13T03:57:45.510907+00:00,16.0,0.0
|
| 90 |
+
89,0.0229,1.0,,0.9659,0.9697,3.4,2026-09-13T03:57:49.171801+00:00,16.0,0.0
|
| 91 |
+
90,0.0246,1.0,,0.9697,0.9697,3.4,2026-09-13T03:57:52.832333+00:00,16.0,0.0
|
| 92 |
+
91,0.0256,1.0,,0.9659,0.9697,3.4,2026-09-13T03:57:56.493772+00:00,16.0,0.0
|
| 93 |
+
92,0.0254,1.0,,0.9659,0.9697,3.4,2026-09-13T03:58:00.157652+00:00,16.0,0.0
|
| 94 |
+
93,0.023,1.0,,0.9659,0.9697,3.4,2026-09-13T03:58:03.824778+00:00,16.0,0.0
|
| 95 |
+
94,0.0246,1.0,,0.9659,0.9697,3.41,2026-09-13T03:58:07.498344+00:00,16.0,0.0
|
| 96 |
+
95,0.024,1.0,,0.9621,0.9697,3.41,2026-09-13T03:58:11.167902+00:00,16.0,0.0
|
| 97 |
+
96,0.0259,1.0,,0.9659,0.9697,3.41,2026-09-13T03:58:14.840868+00:00,16.0,0.0
|
| 98 |
+
97,0.0236,1.0,,0.9659,0.9697,3.41,2026-09-13T03:58:18.514110+00:00,16.0,0.0
|
| 99 |
+
98,0.0235,0.9991,,0.9621,0.9697,3.41,2026-09-13T03:58:22.186886+00:00,16.0,0.0
|
| 100 |
+
99,0.024,1.0,,0.9659,0.9697,3.4,2026-09-13T03:58:25.852905+00:00,16.0,0.0
|
| 101 |
+
100,0.0231,1.0,,0.9659,0.9697,3.4,2026-09-13T03:58:29.519572+00:00,16.0,0.0
|
ann_opt_ftbc/ann_opt_ftbc.epochs.jsonl
ADDED
|
@@ -0,0 +1,100 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"epoch": 1, "train_loss": 1.2792, "train_acc": 0.6072, "test_acc": 0.3636, "best_acc": 0.3636, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.54, "timestamp": "2026-09-13T03:52:27.347629+00:00"}
|
| 2 |
+
{"epoch": 2, "train_loss": 0.9159, "train_acc": 0.7762, "test_acc": 0.6515, "best_acc": 0.6515, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.22, "timestamp": "2026-09-13T03:52:30.825375+00:00"}
|
| 3 |
+
{"epoch": 3, "train_loss": 0.7728, "train_acc": 0.8533, "test_acc": 0.6098, "best_acc": 0.6515, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.23, "timestamp": "2026-09-13T03:52:34.322887+00:00"}
|
| 4 |
+
{"epoch": 4, "train_loss": 0.6583, "train_acc": 0.8951, "test_acc": 0.7879, "best_acc": 0.7879, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.25, "timestamp": "2026-09-13T03:52:37.831574+00:00"}
|
| 5 |
+
{"epoch": 5, "train_loss": 0.5527, "train_acc": 0.9322, "test_acc": 0.9129, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.27, "timestamp": "2026-09-13T03:52:41.361668+00:00"}
|
| 6 |
+
{"epoch": 6, "train_loss": 0.4778, "train_acc": 0.9499, "test_acc": 0.8409, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.27, "timestamp": "2026-09-13T03:52:44.901779+00:00"}
|
| 7 |
+
{"epoch": 7, "train_loss": 0.4505, "train_acc": 0.9517, "test_acc": 0.8826, "best_acc": 0.9129, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.3, "timestamp": "2026-09-13T03:52:48.457456+00:00"}
|
| 8 |
+
{"epoch": 8, "train_loss": 0.3835, "train_acc": 0.9629, "test_acc": 0.9318, "best_acc": 0.9318, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.31, "timestamp": "2026-09-13T03:52:52.029761+00:00"}
|
| 9 |
+
{"epoch": 9, "train_loss": 0.3364, "train_acc": 0.9777, "test_acc": 0.9394, "best_acc": 0.9394, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.33, "timestamp": "2026-09-13T03:52:55.624768+00:00"}
|
| 10 |
+
{"epoch": 10, "train_loss": 0.3562, "train_acc": 0.9656, "test_acc": 0.9432, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.35, "timestamp": "2026-09-13T03:52:59.239655+00:00"}
|
| 11 |
+
{"epoch": 11, "train_loss": 0.2869, "train_acc": 0.987, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.37, "timestamp": "2026-09-13T03:53:02.881702+00:00"}
|
| 12 |
+
{"epoch": 12, "train_loss": 0.2888, "train_acc": 0.9824, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:53:06.549042+00:00"}
|
| 13 |
+
{"epoch": 13, "train_loss": 0.2674, "train_acc": 0.9814, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:53:10.216922+00:00"}
|
| 14 |
+
{"epoch": 14, "train_loss": 0.2406, "train_acc": 0.9861, "test_acc": 0.9015, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:53:13.898221+00:00"}
|
| 15 |
+
{"epoch": 15, "train_loss": 0.2397, "train_acc": 0.9824, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.43, "timestamp": "2026-09-13T03:53:17.592072+00:00"}
|
| 16 |
+
{"epoch": 16, "train_loss": 0.2221, "train_acc": 0.9814, "test_acc": 0.9015, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.45, "timestamp": "2026-09-13T03:53:21.304693+00:00"}
|
| 17 |
+
{"epoch": 17, "train_loss": 0.1987, "train_acc": 0.9833, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.47, "timestamp": "2026-09-13T03:53:25.044593+00:00"}
|
| 18 |
+
{"epoch": 18, "train_loss": 0.1807, "train_acc": 0.9944, "test_acc": 0.9242, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.49, "timestamp": "2026-09-13T03:53:28.807023+00:00"}
|
| 19 |
+
{"epoch": 19, "train_loss": 0.2045, "train_acc": 0.9824, "test_acc": 0.8864, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.48, "timestamp": "2026-09-13T03:53:32.555010+00:00"}
|
| 20 |
+
{"epoch": 20, "train_loss": 0.1836, "train_acc": 0.987, "test_acc": 0.9394, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.46, "timestamp": "2026-09-13T03:53:36.280056+00:00"}
|
| 21 |
+
{"epoch": 21, "train_loss": 0.1392, "train_acc": 0.9926, "test_acc": 0.9091, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.43, "timestamp": "2026-09-13T03:53:39.980616+00:00"}
|
| 22 |
+
{"epoch": 22, "train_loss": 0.1466, "train_acc": 0.9907, "test_acc": 0.9205, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T03:53:43.667186+00:00"}
|
| 23 |
+
{"epoch": 23, "train_loss": 0.1303, "train_acc": 0.9926, "test_acc": 0.928, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:53:47.330069+00:00"}
|
| 24 |
+
{"epoch": 24, "train_loss": 0.1428, "train_acc": 0.9907, "test_acc": 0.8864, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:53:51.003800+00:00"}
|
| 25 |
+
{"epoch": 25, "train_loss": 0.1254, "train_acc": 0.9916, "test_acc": 0.9432, "best_acc": 0.9432, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:53:54.667219+00:00"}
|
| 26 |
+
{"epoch": 26, "train_loss": 0.1294, "train_acc": 0.9916, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:53:58.332655+00:00"}
|
| 27 |
+
{"epoch": 27, "train_loss": 0.1194, "train_acc": 0.9981, "test_acc": 0.9394, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:54:01.993822+00:00"}
|
| 28 |
+
{"epoch": 28, "train_loss": 0.1349, "train_acc": 0.9842, "test_acc": 0.928, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.37, "timestamp": "2026-09-13T03:54:05.623747+00:00"}
|
| 29 |
+
{"epoch": 29, "train_loss": 0.1428, "train_acc": 0.9842, "test_acc": 0.8674, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.37, "timestamp": "2026-09-13T03:54:09.258207+00:00"}
|
| 30 |
+
{"epoch": 30, "train_loss": 0.1346, "train_acc": 0.987, "test_acc": 0.875, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.36, "timestamp": "2026-09-13T03:54:12.883735+00:00"}
|
| 31 |
+
{"epoch": 31, "train_loss": 0.1226, "train_acc": 0.9907, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.38, "timestamp": "2026-09-13T03:54:16.522318+00:00"}
|
| 32 |
+
{"epoch": 32, "train_loss": 0.0971, "train_acc": 0.9963, "test_acc": 0.9129, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:54:20.174548+00:00"}
|
| 33 |
+
{"epoch": 33, "train_loss": 0.0982, "train_acc": 0.9954, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:54:23.824646+00:00"}
|
| 34 |
+
{"epoch": 34, "train_loss": 0.0927, "train_acc": 0.9954, "test_acc": 0.7462, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:54:27.490450+00:00"}
|
| 35 |
+
{"epoch": 35, "train_loss": 0.1067, "train_acc": 0.9916, "test_acc": 0.9091, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:54:31.158254+00:00"}
|
| 36 |
+
{"epoch": 36, "train_loss": 0.1075, "train_acc": 0.9898, "test_acc": 0.8561, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:54:34.826991+00:00"}
|
| 37 |
+
{"epoch": 37, "train_loss": 0.1045, "train_acc": 0.9944, "test_acc": 0.928, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:54:38.500541+00:00"}
|
| 38 |
+
{"epoch": 38, "train_loss": 0.1072, "train_acc": 0.9879, "test_acc": 0.9242, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T03:54:42.181142+00:00"}
|
| 39 |
+
{"epoch": 39, "train_loss": 0.0937, "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": "2026-09-13T03:54:45.864558+00:00"}
|
| 40 |
+
{"epoch": 40, "train_loss": 0.0742, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T03:54:49.552994+00:00"}
|
| 41 |
+
{"epoch": 41, "train_loss": 0.0731, "train_acc": 0.9963, "test_acc": 0.9508, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.42, "timestamp": "2026-09-13T03:54:53.234017+00:00"}
|
| 42 |
+
{"epoch": 42, "train_loss": 0.0756, "train_acc": 0.9935, "test_acc": 0.9356, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:54:56.909087+00:00"}
|
| 43 |
+
{"epoch": 43, "train_loss": 0.0587, "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": "2026-09-13T03:55:00.582003+00:00"}
|
| 44 |
+
{"epoch": 44, "train_loss": 0.0635, "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": "2026-09-13T03:55:04.260216+00:00"}
|
| 45 |
+
{"epoch": 45, "train_loss": 0.0577, "train_acc": 0.9981, "test_acc": 0.9545, "best_acc": 0.9545, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:07.923204+00:00"}
|
| 46 |
+
{"epoch": 46, "train_loss": 0.0549, "train_acc": 0.9972, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:11.584931+00:00"}
|
| 47 |
+
{"epoch": 47, "train_loss": 0.048, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:55:15.248352+00:00"}
|
| 48 |
+
{"epoch": 48, "train_loss": 0.0648, "train_acc": 0.9963, "test_acc": 0.9129, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:18.914302+00:00"}
|
| 49 |
+
{"epoch": 49, "train_loss": 0.058, "train_acc": 0.9991, "test_acc": 0.947, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:22.577983+00:00"}
|
| 50 |
+
{"epoch": 50, "train_loss": 0.0585, "train_acc": 0.9963, "test_acc": 0.947, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:26.240945+00:00"}
|
| 51 |
+
{"epoch": 51, "train_loss": 0.0749, "train_acc": 0.9935, "test_acc": 0.947, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:29.905950+00:00"}
|
| 52 |
+
{"epoch": 52, "train_loss": 0.0844, "train_acc": 0.9926, "test_acc": 0.9432, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:33.569054+00:00"}
|
| 53 |
+
{"epoch": 53, "train_loss": 0.0643, "train_acc": 0.9954, "test_acc": 0.9356, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:37.231215+00:00"}
|
| 54 |
+
{"epoch": 54, "train_loss": 0.0668, "train_acc": 0.9935, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:40.890955+00:00"}
|
| 55 |
+
{"epoch": 55, "train_loss": 0.0668, "train_acc": 0.9991, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:44.553208+00:00"}
|
| 56 |
+
{"epoch": 56, "train_loss": 0.0597, "train_acc": 0.9972, "test_acc": 0.9242, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:48.218264+00:00"}
|
| 57 |
+
{"epoch": 57, "train_loss": 0.0652, "train_acc": 0.9944, "test_acc": 0.9053, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:51.880592+00:00"}
|
| 58 |
+
{"epoch": 58, "train_loss": 0.0646, "train_acc": 0.9954, "test_acc": 0.9242, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:55:55.551866+00:00"}
|
| 59 |
+
{"epoch": 59, "train_loss": 0.0542, "train_acc": 1.0, "test_acc": 0.9394, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:55:59.218990+00:00"}
|
| 60 |
+
{"epoch": 60, "train_loss": 0.0438, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:56:02.889079+00:00"}
|
| 61 |
+
{"epoch": 61, "train_loss": 0.0357, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:06.552100+00:00"}
|
| 62 |
+
{"epoch": 62, "train_loss": 0.0328, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:10.214815+00:00"}
|
| 63 |
+
{"epoch": 63, "train_loss": 0.0309, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:13.898606+00:00"}
|
| 64 |
+
{"epoch": 64, "train_loss": 0.0313, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:17.560919+00:00"}
|
| 65 |
+
{"epoch": 65, "train_loss": 0.0357, "train_acc": 0.9972, "test_acc": 0.9545, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:21.222000+00:00"}
|
| 66 |
+
{"epoch": 66, "train_loss": 0.0569, "train_acc": 0.9963, "test_acc": 0.9508, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.39, "timestamp": "2026-09-13T03:56:24.881610+00:00"}
|
| 67 |
+
{"epoch": 67, "train_loss": 0.0446, "train_acc": 0.9981, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:28.543872+00:00"}
|
| 68 |
+
{"epoch": 68, "train_loss": 0.0376, "train_acc": 1.0, "test_acc": 0.9432, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:32.203805+00:00"}
|
| 69 |
+
{"epoch": 69, "train_loss": 0.034, "train_acc": 0.9981, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:35.863797+00:00"}
|
| 70 |
+
{"epoch": 70, "train_loss": 0.0312, "train_acc": 1.0, "test_acc": 0.9545, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:39.522487+00:00"}
|
| 71 |
+
{"epoch": 71, "train_loss": 0.0324, "train_acc": 0.9991, "test_acc": 0.9545, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:43.186807+00:00"}
|
| 72 |
+
{"epoch": 72, "train_loss": 0.0297, "train_acc": 1.0, "test_acc": 0.9583, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:46.852763+00:00"}
|
| 73 |
+
{"epoch": 73, "train_loss": 0.0258, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:50.517783+00:00"}
|
| 74 |
+
{"epoch": 74, "train_loss": 0.0306, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:54.186419+00:00"}
|
| 75 |
+
{"epoch": 75, "train_loss": 0.0289, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:56:57.852239+00:00"}
|
| 76 |
+
{"epoch": 76, "train_loss": 0.027, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9621, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:57:01.523117+00:00"}
|
| 77 |
+
{"epoch": 77, "train_loss": 0.0265, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:57:05.193096+00:00"}
|
| 78 |
+
{"epoch": 78, "train_loss": 0.0266, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9659, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:08.865723+00:00"}
|
| 79 |
+
{"epoch": 79, "train_loss": 0.0238, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:12.534489+00:00"}
|
| 80 |
+
{"epoch": 80, "train_loss": 0.0265, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:16.201148+00:00"}
|
| 81 |
+
{"epoch": 81, "train_loss": 0.0242, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:19.867329+00:00"}
|
| 82 |
+
{"epoch": 82, "train_loss": 0.0248, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:23.531971+00:00"}
|
| 83 |
+
{"epoch": 83, "train_loss": 0.0223, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:27.195096+00:00"}
|
| 84 |
+
{"epoch": 84, "train_loss": 0.0235, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:30.859915+00:00"}
|
| 85 |
+
{"epoch": 85, "train_loss": 0.0234, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:34.522627+00:00"}
|
| 86 |
+
{"epoch": 86, "train_loss": 0.0231, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:38.184966+00:00"}
|
| 87 |
+
{"epoch": 87, "train_loss": 0.0202, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:41.849043+00:00"}
|
| 88 |
+
{"epoch": 88, "train_loss": 0.0238, "train_acc": 0.9991, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:45.510907+00:00"}
|
| 89 |
+
{"epoch": 89, "train_loss": 0.0229, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:49.171801+00:00"}
|
| 90 |
+
{"epoch": 90, "train_loss": 0.0246, "train_acc": 1.0, "test_acc": 0.9697, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:52.832333+00:00"}
|
| 91 |
+
{"epoch": 91, "train_loss": 0.0256, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:57:56.493772+00:00"}
|
| 92 |
+
{"epoch": 92, "train_loss": 0.0254, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:58:00.157652+00:00"}
|
| 93 |
+
{"epoch": 93, "train_loss": 0.023, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:58:03.824778+00:00"}
|
| 94 |
+
{"epoch": 94, "train_loss": 0.0246, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:58:07.498344+00:00"}
|
| 95 |
+
{"epoch": 95, "train_loss": 0.024, "train_acc": 1.0, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:58:11.167902+00:00"}
|
| 96 |
+
{"epoch": 96, "train_loss": 0.0259, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:58:14.840868+00:00"}
|
| 97 |
+
{"epoch": 97, "train_loss": 0.0236, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:58:18.514110+00:00"}
|
| 98 |
+
{"epoch": 98, "train_loss": 0.0235, "train_acc": 0.9991, "test_acc": 0.9621, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.41, "timestamp": "2026-09-13T03:58:22.186886+00:00"}
|
| 99 |
+
{"epoch": 99, "train_loss": 0.024, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:58:25.852905+00:00"}
|
| 100 |
+
{"epoch": 100, "train_loss": 0.0231, "train_acc": 1.0, "test_acc": 0.9659, "best_acc": 0.9697, "avg_steps_executed": 16.0, "sparsity": 0.0, "time_sec": 3.4, "timestamp": "2026-09-13T03:58:29.519572+00:00"}
|
ann_opt_ftbc/ann_opt_ftbc.summary.json
ADDED
|
@@ -0,0 +1,34 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"tag": "ann_opt_ftbc",
|
| 3 |
+
"opt_mode": "ftbc",
|
| 4 |
+
"script": "train_optimized_ann.py",
|
| 5 |
+
"parameters": 1296502,
|
| 6 |
+
"epochs_requested": 100,
|
| 7 |
+
"epochs_completed": 100,
|
| 8 |
+
"batch_size": 32,
|
| 9 |
+
"num_bins_T": 16,
|
| 10 |
+
"lr": 0.002,
|
| 11 |
+
"duration_s": 366.0,
|
| 12 |
+
"best": {
|
| 13 |
+
"epoch": 79,
|
| 14 |
+
"test_acc": 0.9697
|
| 15 |
+
},
|
| 16 |
+
"final_epoch_metrics": {
|
| 17 |
+
"epoch": 100,
|
| 18 |
+
"train_loss": 0.0231,
|
| 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": 3.4,
|
| 25 |
+
"timestamp": "2026-09-13T03:58:29.519572+00:00"
|
| 26 |
+
},
|
| 27 |
+
"zip": {
|
| 28 |
+
"name": "ann_opt_ftbc.zip",
|
| 29 |
+
"files": 12,
|
| 30 |
+
"bytes": 9815137,
|
| 31 |
+
"MB": 9.82,
|
| 32 |
+
"sha256": "db28e903eb538a5c20bc6a83832547de57ce7882f2316af985c172cb81df3a87"
|
| 33 |
+
}
|
| 34 |
+
}
|
ann_opt_ftbc/ann_opt_ftbc.zip
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:db28e903eb538a5c20bc6a83832547de57ce7882f2316af985c172cb81df3a87
|
| 3 |
+
size 9815137
|