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logs.txt
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| 1 |
+
warnings.warn(
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| 2 |
+
0%|β | 100/20000 [00:44<2:22:38, 2.33it/s]tensor(0.2153, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 3 |
+
1%|ββ | 200/20000 [01:28<2:23:06, 2.31it/s]tensor(0.2829, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 4 |
+
2%|βββ | 300/20000 [02:12<2:25:44, 2.25it/s]tensor(0.4244, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 5 |
+
2%|ββββ | 400/20000 [02:56<2:22:08, 2.30it/s]tensor(0.4839, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 6 |
+
2%|ββββ | 500/20000 [03:40<2:23:15, 2.27it/s]tensor(0.8425, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 7 |
+
3%|βββββ | 600/20000 [04:25<2:22:27, 2.27it/s]tensor(0.5805, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 8 |
+
4%|ββββββ | 700/20000 [05:10<2:22:23, 2.26it/s]tensor(0.2978, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 9 |
+
4%|βββββββ | 800/20000 [05:54<2:21:38, 2.26it/s]tensor(0.1273, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 10 |
+
4%|ββββββββ | 900/20000 [06:38<2:20:14, 2.27it/s]tensor(0.4796, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 11 |
+
5%|βββββββββ | 1000/20000 [07:22<2:19:26, 2.27it/s]tensor(0.2239, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 12 |
+
6%|βββββββββ | 1100/20000 [08:08<2:19:36, 2.26it/s]tensor(0.1004, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 13 |
+
6%|ββββββββββ | 1200/20000 [08:52<2:16:58, 2.29it/s]tensor(0.5236, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 14 |
+
6%|βββββββββββ | 1300/20000 [09:36<2:20:33, 2.22it/s]tensor(0.1152, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 15 |
+
7%|ββββββββββββ | 1400/20000 [10:20<2:15:36, 2.29it/s]tensor(0.0998, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 16 |
+
8%|βββββββββββββ | 1500/20000 [11:04<2:16:26, 2.26it/s]tensor(1.0691, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 17 |
+
8%|βββββββββββββ | 1600/20000 [11:50<2:14:11, 2.29it/s]tensor(0.4395, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 18 |
+
8%|ββββββββββββββ | 1700/20000 [12:34<2:14:35, 2.27it/s]tensor(0.6709, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 19 |
+
9%|βββββββββββββββ | 1800/20000 [13:18<2:13:14, 2.28it/s]tensor(0.0770, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 20 |
+
10%|ββββββββββββββββ | 1900/20000 [14:02<2:12:24, 2.28it/s]tensor(0.0756, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 21 |
+
10%|βββββββββββββββββ | 2000/20000 [14:47<2:13:32, 2.25it/s]tensor(0.3683, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 22 |
+
10%|βββββββββββββββββ | 2100/20000 [15:32<2:12:21, 2.25it/s]tensor(0.1180, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 23 |
+
11%|ββββββββββββββββββ | 2200/20000 [16:16<2:10:11, 2.28it/s]tensor(0.1589, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 24 |
+
12%|βββββββββββββββββββ | 2300/20000 [17:00<2:11:19, 2.25it/s]tensor(0.1791, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 25 |
+
12%|ββββββββββββββββββββ | 2400/20000 [17:45<2:11:17, 2.23it/s]tensor(0.0636, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 26 |
+
12%|βββββββββββββββββββββ | 2500/20000 [18:29<2:07:58, 2.28it/s]tensor(0.2253, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 27 |
+
13%|ββββββββββββββββββββββ | 2600/20000 [19:14<2:06:56, 2.28it/s]tensor(0.1003, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 28 |
+
14%|ββββββββββββββββββββββ | 2700/20000 [19:59<2:11:46, 2.19it/s]tensor(0.0455, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 29 |
+
14%|βββββββββββββββββββββββ | 2800/20000 [20:43<2:07:26, 2.25it/s]tensor(0.0448, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 30 |
+
14%|ββββββββββββββββββββββββ | 2900/20000 [21:27<2:04:02, 2.30it/s]tensor(1.4607, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 31 |
+
15%|βββββββββββββββββββββββββ | 3000/20000 [22:12<2:05:21, 2.26it/s]tensor(0.2705, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 32 |
+
16%|ββββββββββββββββββββββββββ | 3100/20000 [22:56<2:05:18, 2.25it/s]tensor(0.7325, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 33 |
+
16%|ββββββββββββββββββββββββββ | 3200/20000 [23:41<2:05:29, 2.23it/s]tensor(0.5659, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 34 |
+
16%|βββββββββββββββββββββββββββ | 3300/20000 [24:25<2:01:54, 2.28it/s]tensor(0.4207, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 35 |
+
17%|ββββββββββββββββββββββββββββ | 3400/20000 [25:09<2:00:37, 2.29it/s]tensor(0.1988, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 36 |
+
18%|βββββββββββββββββββοΏ½οΏ½οΏ½βββββββββ | 3500/20000 [25:53<2:01:50, 2.26it/s]tensor(0.4434, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 37 |
+
18%|ββββββββββββββββββββββββββββββ | 3600/20000 [26:38<1:58:26, 2.31it/s]tensor(0.3255, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 38 |
+
18%|βββββββββββββββββββββββββββββββ | 3700/20000 [27:22<1:58:50, 2.29it/s]tensor(0.7106, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 39 |
+
19%|βββββββββββββββββββββββββββββββ | 3800/20000 [28:06<1:58:24, 2.28it/s]tensor(0.2896, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 40 |
+
20%|ββββββββββββββββββββββββββββββββ | 3900/20000 [28:50<1:59:48, 2.24it/s]tensor(0.4560, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 41 |
+
20%|βββββββββββββββββββββββββββββββββ | 4000/20000 [29:34<1:55:21, 2.31it/s]tensor(0.4117, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 42 |
+
20%|ββββββββββββββββββββββββββββββββββ | 4100/20000 [30:19<1:56:52, 2.27it/s]tensor(0.5676, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 43 |
+
21%|βββββββββββββββββββββββββββββββββββ | 4200/20000 [31:02<1:54:18, 2.30it/s]tensor(0.6837, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 44 |
+
22%|βββββββββββββββββββββββββββββββββββ | 4300/20000 [31:46<1:55:28, 2.27it/s]tensor(0.6246, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 45 |
+
22%|ββββββββββββββββββββββββββββββββββββ | 4400/20000 [32:30<1:54:42, 2.27it/s]tensor(0.1902, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 46 |
+
22%|βββββββββββββββββββββββββββββββββββββ | 4500/20000 [33:14<1:53:41, 2.27it/s]tensor(0.1851, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 47 |
+
23%|ββββββββββββββββββββββββββββββββββββββ | 4600/20000 [33:59<1:54:26, 2.24it/s]tensor(0.3036, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 48 |
+
24%|βββββββββββββββββββββββββββββββββββββββ | 4700/20000 [34:43<1:50:33, 2.31it/s]tensor(0.4695, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 49 |
+
24%|βββββββββββββββββββββββββββββββββββββββ | 4800/20000 [35:27<1:51:37, 2.27it/s]tensor(0.1996, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 50 |
+
24%|ββββββββββββββββββββββββββββββββββββββββ | 4900/20000 [36:11<1:49:27, 2.30it/s]tensor(0.6927, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 51 |
+
25%|βββββββββββββββββββββββββββββββββββββββββ | 5000/20000 [36:55<1:49:33, 2.28it/s]tensor(0.2079, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 52 |
+
26%|ββββββββββββββββββββββββββββββββββββββββββ | 5100/20000 [37:39<1:48:35, 2.29it/s]tensor(0.5385, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 53 |
+
26%|βββββββββββββββββββββββββββββββββββββββββββ | 5200/20000 [38:23<1:48:04, 2.28it/s]tensor(0.3138, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 54 |
+
26%|ββββββββββββββββββββββββββββββββββββββββββββ | 5300/20000 [39:07<1:48:06, 2.27it/s]tensor(0.2337, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 55 |
+
27%|ββββββββββββββββββββββββββββββββββββββββββββ | 5400/20000 [39:51<1:48:56, 2.23it/s]tensor(0.3529, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 56 |
+
28%|βββββββββββββββββββββββββββββββββββββββββββββ | 5500/20000 [40:35<1:45:55, 2.28it/s]tensor(0.8703, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 57 |
+
28%|ββββββββββββββββββββββββββββββββββββββββββββββ | 5600/20000 [41:19<1:45:19, 2.28it/s]tensor(0.4775, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 58 |
+
28%|βββββββββββββββββββββββββββββββββββββββββββββββ | 5700/20000 [42:04<1:44:33, 2.28it/s]tensor(0.2495, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 59 |
+
29%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 5800/20000 [42:48<1:44:23, 2.27it/s]tensor(0.4124, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 60 |
+
30%|ββββββββββββββββββββββββββββββββββββββββββββββββ | 5900/20000 [43:32<1:44:07, 2.26it/s]tensor(0.3017, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 61 |
+
30%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 6000/20000 [44:16<1:42:16, 2.28it/s]tensor(0.8822, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 62 |
+
30%|ββββββββββββββββββββββββββββββββββββββββββββββββββ | 6100/20000 [45:00<1:41:17, 2.29it/s]tensor(0.6037, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 63 |
+
31%|βββββββββββββββββββββββββββββββββββββββββββββββββββ | 6200/20000 [45:44<1:40:52, 2.28it/s]tensor(0.4635, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 64 |
+
32%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6300/20000 [46:28<1:41:07, 2.26it/s]tensor(0.2707, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 65 |
+
32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6400/20000 [47:12<1:40:46, 2.25it/s]tensor(0.8428, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 66 |
+
32%|βββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6500/20000 [47:56<1:39:50, 2.25it/s]tensor(0.3684, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 67 |
+
33%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6600/20000 [48:41<1:37:53, 2.28it/s]tensor(0.2327, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 68 |
+
34%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6700/20000 [49:25<1:38:25, 2.25it/s]tensor(nan, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 69 |
+
34%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6800/20000 [50:09<1:35:43, 2.30it/s]tensor(0.1983, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 70 |
+
34%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 6900/20000 [50:53<1:35:39, 2.28it/s]tensor(0.2152, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 71 |
+
35%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7000/20000 [51:37<1:35:24, 2.27it/s]tensor(0.3079, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 72 |
+
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7100/20000 [52:22<1:33:56, 2.29it/s]tensor(0.1572, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 73 |
+
36%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7200/20000 [53:06<1:33:24, 2.28it/s]tensor(0.3412, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 74 |
+
36%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7300/20000 [53:50<1:32:57, 2.28it/s]tensor(0.4371, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 75 |
+
37%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7400/20000 [54:34<1:33:04, 2.26it/s]tensor(0.2853, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 76 |
+
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7500/20000 [55:18<1:32:55, 2.24it/s]tensor(0.3847, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 77 |
+
38%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7600/20000 [56:03<1:30:53, 2.27it/s]tensor(0.3116, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 78 |
+
38%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7700/20000 [56:47<1:29:47, 2.28it/s]tensor(0.3328, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 79 |
+
39%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7800/20000 [57:31<1:30:18, 2.25it/s]tensor(0.2644, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 80 |
+
40%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 7900/20000 [58:16<1:44:56, 1.92it/s]tensor(0.1800, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 81 |
+
40%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8000/20000 [59:04<1:32:53, 2.15it/s]tensor(0.2355, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 82 |
+
40%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8100/20000 [59:49<1:26:17, 2.30it/s]tensor(0.5495, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 83 |
+
41%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8200/20000 [1:00:32<1:26:43, 2.27it/s]tensor(0.3564, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 84 |
+
42%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8300/20000 [1:01:16<1:24:41, 2.30it/s]tensor(0.4840, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 85 |
+
42%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8400/20000 [1:02:00<1:25:11, 2.27it/s]tensor(0.2846, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 86 |
+
42%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8500/20000 [1:02:44<1:25:55, 2.23it/s]tensor(0.2893, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 87 |
+
43%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8600/20000 [1:03:29<1:22:42, 2.30it/s]tensor(0.2724, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 88 |
+
44%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8700/20000 [1:04:13<1:22:16, 2.29it/s]tensor(0.2532, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 89 |
+
44%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8800/20000 [1:04:57<1:22:11, 2.27it/s]tensor(0.4647, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 90 |
+
44%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 8900/20000 [1:05:41<1:22:10, 2.25it/s]tensor(0.3032, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 91 |
+
45%|βββββββββββββββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½οΏ½βββββββββββββββββββ | 9000/20000 [1:06:25<1:20:57, 2.26it/s]tensor(0.3943, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 92 |
+
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9100/20000 [1:07:15<1:19:53, 2.27it/s]tensor(0.4976, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 93 |
+
46%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9200/20000 [1:07:59<1:18:57, 2.28it/s]tensor(0.2800, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 94 |
+
46%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9300/20000 [1:08:43<1:17:47, 2.29it/s]tensor(0.2511, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 95 |
+
47%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9400/20000 [1:09:27<1:18:01, 2.26it/s]tensor(0.3797, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 96 |
+
48%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9500/20000 [1:10:11<1:16:36, 2.28it/s]tensor(0.2014, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 97 |
+
48%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9600/20000 [1:10:55<1:15:53, 2.28it/s]tensor(0.8036, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 98 |
+
48%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9700/20000 [1:11:39<1:15:49, 2.26it/s]tensor(0.2857, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 99 |
+
49%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9800/20000 [1:12:23<1:14:15, 2.29it/s]tensor(0.2825, device='cuda:0', grad_fn=<NllLossBackward0>)
|
| 100 |
+
49%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 9812/20000 [1:12:28<1:14:39, 2.27it/s]
|