--- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.69 | lr: 0.0002 | loss: 0.040 | time: 0:00:15.1 | step: 10 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.018 | time: 0:00:23.3 | step: 20 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.028 | time: 0:00:31.5 | step: 30 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.025 | time: 0:00:39.9 | step: 40 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 0:00:48.0 | step: 50 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:00:56.5 | step: 60 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 0:01:05.1 | step: 70 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 0:01:13.7 | step: 80 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.025 | time: 0:01:22.5 | step: 90 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 0:01:30.9 | step: 100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:01:39.8 | step: 110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:01:48.9 | step: 120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:01:57.9 | step: 130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:02:06.8 | step: 140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:02:15.1 | step: 150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:02:23.9 | step: 160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:02:32.7 | step: 170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:02:41.5 | step: 180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.028 | time: 0:02:49.9 | step: 190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:02:58.8 | step: 200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:03:07.7 | step: 210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:03:16.5 | step: 220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:03:25.4 | step: 230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 0:03:33.8 | step: 240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.043 | time: 0:03:42.7 | step: 250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:03:51.5 | step: 260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:04:00.4 | step: 270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:04:09.3 | step: 280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 0:04:17.7 | step: 290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:04:26.6 | step: 300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.041 | time: 0:04:35.4 | step: 310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:04:44.3 | step: 320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:04:52.8 | step: 330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:05:01.7 | step: 340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.049 | time: 0:05:10.5 | step: 350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:05:19.4 | step: 360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:05:28.3 | step: 370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:05:36.7 | step: 380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:05:45.6 | step: 390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:05:54.5 | step: 400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 0:06:03.4 | step: 410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:06:12.3 | step: 420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:06:20.7 | step: 430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:06:29.6 | step: 440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:06:38.5 | step: 450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:06:47.4 | step: 460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:06:55.8 | step: 470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.042 | time: 0:07:04.7 | step: 480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:07:13.6 | step: 490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 0:07:22.4 | step: 500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:07:31.3 | step: 510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:07:39.7 | step: 520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:07:48.6 | step: 530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 0:07:57.4 | step: 540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:08:06.3 | step: 550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 0:08:15.2 | step: 560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:08:23.7 | step: 570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:08:32.6 | step: 580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.058 | time: 0:08:41.4 | step: 590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:08:50.3 | step: 600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:08:59.2 | step: 610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 0:09:07.6 | step: 620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:09:16.4 | step: 630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:09:25.3 | step: 640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:09:34.2 | step: 650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:09:42.6 | step: 660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:09:51.5 | step: 670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:10:00.4 | step: 680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:10:09.3 | step: 690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:10:18.2 | step: 700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:10:26.6 | step: 710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.038 | time: 0:10:35.5 | step: 720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:10:44.4 | step: 730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:10:53.2 | step: 740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:11:02.1 | step: 750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:11:10.5 | step: 760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:11:19.4 | step: 770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:11:28.3 | step: 780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:11:37.2 | step: 790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:11:45.7 | step: 800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:11:54.5 | step: 810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 0:12:03.4 | step: 820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:12:12.3 | step: 830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:12:21.2 | step: 840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:12:29.6 | step: 850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:12:38.5 | step: 860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:12:47.4 | step: 870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.050 | time: 0:12:56.3 | step: 880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:13:05.2 | step: 890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.031 | time: 0:13:13.6 | step: 900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 0:13:22.5 | step: 910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.054 | time: 0:13:31.4 | step: 920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:13:40.3 | step: 930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:13:48.7 | step: 940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.026 | time: 0:13:57.7 | step: 950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:14:06.6 | step: 960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.044 | time: 0:14:15.4 | step: 970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:14:24.3 | step: 980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:14:32.8 | step: 990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.030 | time: 0:14:41.7 | step: 1000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:14:50.5 | step: 1010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:14:59.5 | step: 1020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:15:08.3 | step: 1030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:15:16.8 | step: 1040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:15:25.7 | step: 1050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 0:15:34.5 | step: 1060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:15:43.4 | step: 1070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:15:52.3 | step: 1080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 0:16:00.7 | step: 1090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:16:09.6 | step: 1100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:16:18.4 | step: 1110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:16:27.3 | step: 1120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 0:16:35.7 | step: 1130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:16:44.6 | step: 1140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:16:53.4 | step: 1150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:17:02.3 | step: 1160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:17:11.2 | step: 1170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 0:17:19.6 | step: 1180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:17:28.5 | step: 1190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:17:37.4 | step: 1200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:17:46.3 | step: 1210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:17:55.1 | step: 1220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:18:03.6 | step: 1230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:18:12.5 | step: 1240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 0:18:21.4 | step: 1250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:18:30.2 | step: 1260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 0:18:38.7 | step: 1270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:18:47.6 | step: 1280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:18:56.5 | step: 1290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:19:05.3 | step: 1300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.049 | time: 0:19:14.2 | step: 1310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.122 | time: 0:19:22.7 | step: 1320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.036 | time: 0:19:31.6 | step: 1330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.043 | time: 0:19:40.4 | step: 1340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 0:19:49.3 | step: 1350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.079 | time: 0:19:58.2 | step: 1360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:20:06.7 | step: 1370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:20:15.6 | step: 1380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:20:24.4 | step: 1390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:20:33.3 | step: 1400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:20:41.7 | step: 1410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 0:20:50.7 | step: 1420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:20:59.6 | step: 1430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.042 | time: 0:21:08.5 | step: 1440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:21:17.4 | step: 1450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:21:25.9 | step: 1460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:21:34.7 | step: 1470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:21:43.6 | step: 1480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:21:52.5 | step: 1490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:22:01.4 | step: 1500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.009 | time: 0:22:09.8 | step: 1510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:22:18.7 | step: 1520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:22:27.5 | step: 1530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:22:36.4 | step: 1540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:22:45.2 | step: 1550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.010 | time: 0:22:53.6 | step: 1560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:23:02.5 | step: 1570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 0:23:11.3 | step: 1580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:23:20.2 | step: 1590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.047 | time: 0:23:28.6 | step: 1600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:23:37.4 | step: 1610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:23:46.3 | step: 1620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:23:55.1 | step: 1630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:24:04.0 | step: 1640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.027 | time: 0:24:12.4 | step: 1650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:24:21.3 | step: 1660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:24:30.1 | step: 1670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:24:39.0 | step: 1680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:24:47.9 | step: 1690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 0:24:56.3 | step: 1700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:25:05.2 | step: 1710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:25:14.0 | step: 1720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 0:25:22.9 | step: 1730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.040 | time: 0:25:31.3 | step: 1740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 0:25:40.2 | step: 1750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:25:49.1 | step: 1760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:25:58.0 | step: 1770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:26:06.8 | step: 1780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.022 | time: 0:26:15.3 | step: 1790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:26:24.2 | step: 1800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:26:33.0 | step: 1810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 0:26:41.9 | step: 1820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:26:50.8 | step: 1830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 0:26:59.3 | step: 1840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:27:08.1 | step: 1850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:27:17.0 | step: 1860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:27:25.9 | step: 1870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:27:34.3 | step: 1880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:27:43.3 | step: 1890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:27:52.2 | step: 1900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 0:28:01.0 | step: 1910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:28:09.9 | step: 1920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:28:18.4 | step: 1930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:28:27.3 | step: 1940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:28:36.1 | step: 1950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:28:45.0 | step: 1960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:28:53.9 | step: 1970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:29:02.3 | step: 1980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:29:11.2 | step: 1990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:29:20.1 | step: 2000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.66 | lr: 0.0002 | loss: 0.026 | time: 0:00:15.7 | step: 2010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.022 | time: 0:00:24.0 | step: 2020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.034 | time: 0:00:32.4 | step: 2030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 0:00:40.9 | step: 2040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.025 | time: 0:00:49.1 | step: 2050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 0:00:57.8 | step: 2060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 0:01:06.5 | step: 2070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 0:01:15.5 | step: 2080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.040 | time: 0:01:24.6 | step: 2090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:01:33.4 | step: 2100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.041 | time: 0:01:42.7 | step: 2110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:01:51.8 | step: 2120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.034 | time: 0:02:00.8 | step: 2130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:02:09.7 | step: 2140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:02:18.2 | step: 2150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 0:02:27.1 | step: 2160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.030 | time: 0:02:36.1 | step: 2170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:02:45.1 | step: 2180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:02:53.7 | step: 2190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 0:03:02.8 | step: 2200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 0:03:11.9 | step: 2210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:03:20.9 | step: 2220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:03:30.0 | step: 2230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.043 | time: 0:03:38.6 | step: 2240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:03:47.6 | step: 2250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:03:56.7 | step: 2260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:04:05.7 | step: 2270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.042 | time: 0:04:14.7 | step: 2280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 0:04:23.3 | step: 2290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:04:32.3 | step: 2300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:04:41.3 | step: 2310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:04:50.3 | step: 2320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 0:04:58.9 | step: 2330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:05:07.9 | step: 2340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:05:16.9 | step: 2350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:05:26.0 | step: 2360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:05:35.0 | step: 2370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:05:43.6 | step: 2380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:05:52.6 | step: 2390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:06:01.6 | step: 2400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:06:10.7 | step: 2410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:06:19.7 | step: 2420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.025 | time: 0:06:28.2 | step: 2430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:06:37.3 | step: 2440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:06:46.3 | step: 2450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:06:55.3 | step: 2460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:07:03.8 | step: 2470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:07:12.9 | step: 2480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:07:21.9 | step: 2490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.040 | time: 0:07:31.0 | step: 2500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:07:40.0 | step: 2510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 0:07:48.6 | step: 2520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:07:57.7 | step: 2530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 0:08:06.7 | step: 2540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:08:15.8 | step: 2550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:08:24.8 | step: 2560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.004 | time: 0:08:33.4 | step: 2570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:08:42.5 | step: 2580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 0:08:51.6 | step: 2590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 0:09:00.6 | step: 2600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.032 | time: 0:09:09.7 | step: 2610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 0:09:18.3 | step: 2620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.031 | time: 0:09:27.4 | step: 2630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:09:36.4 | step: 2640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.031 | time: 0:09:45.5 | step: 2650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.025 | time: 0:09:54.1 | step: 2660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:10:03.1 | step: 2670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:10:12.1 | step: 2680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:10:21.1 | step: 2690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:10:30.1 | step: 2700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 0:10:38.7 | step: 2710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:10:47.7 | step: 2720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:10:56.7 | step: 2730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:11:05.7 | step: 2740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:11:14.7 | step: 2750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.006 | time: 0:11:23.3 | step: 2760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:11:32.3 | step: 2770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:11:41.3 | step: 2780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:11:50.3 | step: 2790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.041 | time: 0:11:58.9 | step: 2800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:12:07.9 | step: 2810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:12:17.0 | step: 2820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:12:26.0 | step: 2830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:12:35.0 | step: 2840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:12:43.6 | step: 2850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:12:52.7 | step: 2860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 0:13:01.7 | step: 2870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:13:10.8 | step: 2880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:13:19.8 | step: 2890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:13:28.4 | step: 2900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:13:37.5 | step: 2910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:13:46.5 | step: 2920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:13:55.6 | step: 2930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:14:04.2 | step: 2940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:14:13.3 | step: 2950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:14:22.4 | step: 2960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:14:31.4 | step: 2970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 0:14:40.5 | step: 2980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:14:49.1 | step: 2990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:14:58.2 | step: 3000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.038 | time: 0:15:07.2 | step: 3010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.044 | time: 0:15:16.3 | step: 3020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:15:25.3 | step: 3030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:15:33.9 | step: 3040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:15:43.0 | step: 3050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.049 | time: 0:15:52.0 | step: 3060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:16:01.1 | step: 3070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:16:10.1 | step: 3080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:16:18.7 | step: 3090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.029 | time: 0:16:27.8 | step: 3100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:16:36.9 | step: 3110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:16:45.9 | step: 3120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.005 | time: 0:16:54.5 | step: 3130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 0:17:03.6 | step: 3140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 0:17:12.6 | step: 3150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 0:17:21.7 | step: 3160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:17:30.8 | step: 3170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.012 | time: 0:17:39.4 | step: 3180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 0:17:48.4 | step: 3190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:17:57.5 | step: 3200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:18:06.5 | step: 3210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:18:15.6 | step: 3220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.038 | time: 0:18:24.2 | step: 3230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 0:18:33.3 | step: 3240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 0:18:42.4 | step: 3250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:18:51.4 | step: 3260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.027 | time: 0:19:00.0 | step: 3270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:19:09.1 | step: 3280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:19:18.1 | step: 3290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:19:27.2 | step: 3300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:19:36.2 | step: 3310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.024 | time: 0:19:44.8 | step: 3320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:19:53.8 | step: 3330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:20:02.8 | step: 3340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:20:11.8 | step: 3350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:20:20.8 | step: 3360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 0:20:29.3 | step: 3370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:20:38.3 | step: 3380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:20:47.3 | step: 3390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.043 | time: 0:20:56.3 | step: 3400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:21:04.9 | step: 3410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:21:14.0 | step: 3420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:21:23.0 | step: 3430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:21:32.0 | step: 3440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:21:41.0 | step: 3450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 0:21:49.5 | step: 3460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:21:58.6 | step: 3470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:22:07.6 | step: 3480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:22:16.6 | step: 3490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:22:25.6 | step: 3500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.022 | time: 0:22:34.2 | step: 3510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:22:43.2 | step: 3520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:22:52.2 | step: 3530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:23:01.2 | step: 3540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 0:23:10.2 | step: 3550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:23:18.8 | step: 3560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:23:27.9 | step: 3570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:23:36.9 | step: 3580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:23:45.9 | step: 3590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:23:54.5 | step: 3600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:24:03.5 | step: 3610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:24:12.6 | step: 3620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:24:21.6 | step: 3630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:24:30.6 | step: 3640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.045 | time: 0:24:39.2 | step: 3650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:24:48.2 | step: 3660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:24:57.3 | step: 3670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:25:06.3 | step: 3680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:25:15.4 | step: 3690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:25:24.0 | step: 3700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:25:33.0 | step: 3710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:25:42.0 | step: 3720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:25:51.1 | step: 3730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.031 | time: 0:25:59.7 | step: 3740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:26:08.7 | step: 3750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:26:17.7 | step: 3760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:26:26.8 | step: 3770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:26:35.8 | step: 3780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.040 | time: 0:26:44.4 | step: 3790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:26:53.5 | step: 3800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:27:02.5 | step: 3810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:27:11.5 | step: 3820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:27:20.6 | step: 3830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.006 | time: 0:27:29.2 | step: 3840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:27:38.2 | step: 3850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:27:47.2 | step: 3860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:27:56.3 | step: 3870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:28:04.9 | step: 3880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:28:14.0 | step: 3890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:28:23.0 | step: 3900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:28:32.0 | step: 3910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:28:41.1 | step: 3920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:28:49.7 | step: 3930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:28:58.7 | step: 3940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:29:07.7 | step: 3950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:29:16.8 | step: 3960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.058 | time: 0:29:25.8 | step: 3970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:29:34.4 | step: 3980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:29:43.4 | step: 3990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:29:52.5 | step: 4000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.33 | lr: 0.0002 | loss: 0.015 | time: 0:30:23.0 | step: 4010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:30:32.1 | step: 4020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.039 | time: 0:30:41.0 | step: 4030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.033 | time: 0:30:50.5 | step: 4040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:30:59.7 | step: 4050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 0:31:08.8 | step: 4060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:31:17.3 | step: 4070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 0:31:26.2 | step: 4080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:31:35.1 | step: 4090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:31:44.1 | step: 4100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.049 | time: 0:31:53.1 | step: 4110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 0:32:01.7 | step: 4120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:32:10.8 | step: 4130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:32:19.9 | step: 4140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:32:29.0 | step: 4150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:32:38.0 | step: 4160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 0:32:46.6 | step: 4170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:32:55.6 | step: 4180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:33:04.6 | step: 4190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:33:13.6 | step: 4200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 0:33:22.1 | step: 4210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:33:31.1 | step: 4220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:33:40.2 | step: 4230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:33:49.2 | step: 4240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:33:58.2 | step: 4250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:34:06.9 | step: 4260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:34:15.9 | step: 4270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:34:25.0 | step: 4280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:34:34.0 | step: 4290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:34:43.1 | step: 4300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.025 | time: 0:34:51.7 | step: 4310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:35:00.7 | step: 4320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:35:09.7 | step: 4330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:35:18.8 | step: 4340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:35:27.4 | step: 4350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:35:36.5 | step: 4360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:35:45.5 | step: 4370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:35:54.6 | step: 4380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:36:03.6 | step: 4390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:36:12.2 | step: 4400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:36:21.2 | step: 4410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:36:30.2 | step: 4420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:36:39.2 | step: 4430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:36:48.3 | step: 4440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.007 | time: 0:36:56.8 | step: 4450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:37:05.9 | step: 4460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:37:14.9 | step: 4470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:37:23.9 | step: 4480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:37:33.0 | step: 4490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.038 | time: 0:37:41.5 | step: 4500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.038 | time: 0:37:50.6 | step: 4510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:37:59.6 | step: 4520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:38:08.6 | step: 4530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 0:38:17.2 | step: 4540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:38:26.2 | step: 4550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:38:35.2 | step: 4560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.044 | time: 0:38:44.3 | step: 4570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:38:53.3 | step: 4580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:39:01.8 | step: 4590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:39:10.8 | step: 4600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:39:19.9 | step: 4610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:39:28.9 | step: 4620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:39:37.9 | step: 4630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:39:46.4 | step: 4640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:39:55.4 | step: 4650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.048 | time: 0:40:04.4 | step: 4660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:40:13.5 | step: 4670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:40:22.0 | step: 4680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:40:31.0 | step: 4690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:40:40.0 | step: 4700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.055 | time: 0:40:49.0 | step: 4710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.063 | time: 0:40:58.0 | step: 4720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:41:06.6 | step: 4730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:41:15.6 | step: 4740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:41:24.6 | step: 4750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:41:33.7 | step: 4760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:41:42.7 | step: 4770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 0:41:51.2 | step: 4780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:42:00.2 | step: 4790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:42:09.2 | step: 4800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:42:18.2 | step: 4810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.005 | time: 0:42:26.8 | step: 4820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:42:35.9 | step: 4830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:42:44.9 | step: 4840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:42:53.9 | step: 4850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:43:02.9 | step: 4860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 0:43:11.5 | step: 4870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:43:20.5 | step: 4880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:43:29.5 | step: 4890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:43:38.5 | step: 4900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:43:47.5 | step: 4910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.034 | time: 0:43:56.1 | step: 4920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:44:05.1 | step: 4930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:44:14.1 | step: 4940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:44:23.1 | step: 4950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:44:32.1 | step: 4960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 0:44:40.7 | step: 4970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:44:49.7 | step: 4980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:44:58.7 | step: 4990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:45:07.7 | step: 5000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:45:16.3 | step: 5010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:45:25.3 | step: 5020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:45:34.3 | step: 5030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:45:43.3 | step: 5040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:45:52.3 | step: 5050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 0:46:00.9 | step: 5060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:46:09.9 | step: 5070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:46:18.9 | step: 5080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:46:27.9 | step: 5090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:46:36.9 | step: 5100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:46:45.4 | step: 5110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:46:54.4 | step: 5120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:47:03.4 | step: 5130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:47:12.4 | step: 5140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:47:21.0 | step: 5150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:47:30.0 | step: 5160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:47:39.0 | step: 5170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:47:48.0 | step: 5180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:47:57.0 | step: 5190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.024 | time: 0:48:05.6 | step: 5200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:48:14.6 | step: 5210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:48:23.6 | step: 5220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:48:32.6 | step: 5230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:48:41.6 | step: 5240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 0:48:50.2 | step: 5250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:48:59.2 | step: 5260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:49:08.2 | step: 5270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:49:17.2 | step: 5280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:49:25.7 | step: 5290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 0:49:34.8 | step: 5300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:49:43.8 | step: 5310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:49:52.8 | step: 5320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:50:01.8 | step: 5330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 0:50:10.4 | step: 5340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:50:19.4 | step: 5350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:50:28.4 | step: 5360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:50:37.4 | step: 5370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:50:46.4 | step: 5380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:50:55.0 | step: 5390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:51:04.0 | step: 5400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:51:13.0 | step: 5410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:51:22.0 | step: 5420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:51:31.0 | step: 5430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:51:39.6 | step: 5440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:51:48.6 | step: 5450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:51:57.6 | step: 5460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.049 | time: 0:52:06.6 | step: 5470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.044 | time: 0:52:15.2 | step: 5480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:52:24.2 | step: 5490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:52:33.3 | step: 5500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:52:42.3 | step: 5510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:52:51.3 | step: 5520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 0:52:59.9 | step: 5530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:53:08.9 | step: 5540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:53:17.9 | step: 5550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:53:26.9 | step: 5560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:53:35.9 | step: 5570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.024 | time: 0:53:44.5 | step: 5580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:53:53.6 | step: 5590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:54:02.6 | step: 5600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:54:11.6 | step: 5610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.040 | time: 0:54:20.2 | step: 5620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:54:29.2 | step: 5630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:54:38.2 | step: 5640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:54:47.2 | step: 5650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:54:56.2 | step: 5660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:55:04.8 | step: 5670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:55:13.8 | step: 5680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:55:22.9 | step: 5690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:55:31.9 | step: 5700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:55:40.9 | step: 5710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:55:49.5 | step: 5720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:55:58.5 | step: 5730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.044 | time: 0:56:07.5 | step: 5740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:56:16.6 | step: 5750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:56:25.1 | step: 5760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:56:34.3 | step: 5770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:56:43.3 | step: 5780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:56:52.3 | step: 5790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:57:01.3 | step: 5800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 0:57:09.9 | step: 5810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:57:19.0 | step: 5820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.050 | time: 0:57:28.0 | step: 5830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:57:37.0 | step: 5840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:57:46.0 | step: 5850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:57:54.6 | step: 5860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:58:03.7 | step: 5870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:58:12.7 | step: 5880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:58:21.7 | step: 5890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:58:30.8 | step: 5900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:58:39.4 | step: 5910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.040 | time: 0:58:48.4 | step: 5920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 0:58:57.4 | step: 5930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 0:59:06.5 | step: 5940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.007 | time: 0:59:15.1 | step: 5950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:59:24.1 | step: 5960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:59:33.2 | step: 5970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:59:42.2 | step: 5980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 0:59:51.2 | step: 5990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:59:59.9 | step: 6000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.48 | lr: 0.0002 | loss: 0.028 | time: 1:00:20.8 | step: 6010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.032 | time: 1:00:29.9 | step: 6020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.016 | time: 1:00:39.3 | step: 6030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.014 | time: 1:00:48.7 | step: 6040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 1:00:57.4 | step: 6050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:01:06.4 | step: 6060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.024 | time: 1:01:15.3 | step: 6070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:01:24.3 | step: 6080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:01:32.8 | step: 6090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 1:01:41.7 | step: 6100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 1:01:50.7 | step: 6110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 1:01:59.8 | step: 6120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 1:02:08.9 | step: 6130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.041 | time: 1:02:17.5 | step: 6140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.031 | time: 1:02:26.5 | step: 6150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 1:02:35.6 | step: 6160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 1:02:44.5 | step: 6170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:02:53.5 | step: 6180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.004 | time: 1:03:02.1 | step: 6190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 1:03:11.1 | step: 6200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 1:03:20.1 | step: 6210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:03:29.1 | step: 6220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:03:37.6 | step: 6230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.050 | time: 1:03:46.7 | step: 6240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.049 | time: 1:03:55.8 | step: 6250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:04:04.8 | step: 6260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 1:04:13.8 | step: 6270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 1:04:22.4 | step: 6280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:04:31.4 | step: 6290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 1:04:40.4 | step: 6300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 1:04:49.5 | step: 6310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:04:58.5 | step: 6320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 1:05:07.1 | step: 6330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 1:05:16.1 | step: 6340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.029 | time: 1:05:25.2 | step: 6350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:05:34.2 | step: 6360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 1:05:43.2 | step: 6370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 1:05:51.8 | step: 6380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 1:06:00.9 | step: 6390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:06:09.9 | step: 6400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 1:06:19.0 | step: 6410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 1:06:27.6 | step: 6420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 1:06:36.6 | step: 6430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 1:06:45.7 | step: 6440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 1:06:54.7 | step: 6450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:07:03.8 | step: 6460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.016 | time: 1:07:12.4 | step: 6470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.005 | time: 1:07:21.4 | step: 6480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 1:07:30.5 | step: 6490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 1:07:39.5 | step: 6500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 1:07:48.5 | step: 6510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 1:07:57.2 | step: 6520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 1:08:06.2 | step: 6530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 1:08:15.3 | step: 6540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 1:08:24.3 | step: 6550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.009 | time: 1:08:32.9 | step: 6560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 1:08:42.0 | step: 6570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 1:08:51.0 | step: 6580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 1:09:00.1 | step: 6590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 1:09:09.1 | step: 6600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.012 | time: 1:09:17.7 | step: 6610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.040 | time: 1:09:26.8 | step: 6620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 1:09:35.8 | step: 6630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 1:09:44.9 | step: 6640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 1:09:53.9 | step: 6650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.026 | time: 1:10:02.5 | step: 6660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 1:10:11.6 | step: 6670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 1:10:20.6 | step: 6680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:10:29.7 | step: 6690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:10:38.3 | step: 6700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:10:47.4 | step: 6710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 1:10:56.4 | step: 6720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:11:05.5 | step: 6730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.038 | time: 1:11:14.5 | step: 6740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.027 | time: 1:11:23.1 | step: 6750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 1:11:32.2 | step: 6760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 1:11:41.3 | step: 6770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 1:11:50.3 | step: 6780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 1:11:59.4 | step: 6790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 1:12:08.0 | step: 6800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.055 | time: 1:12:17.0 | step: 6810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 1:12:26.1 | step: 6820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 1:12:35.2 | step: 6830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 1:12:44.3 | step: 6840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.016 | time: 1:12:52.9 | step: 6850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 1:13:02.0 | step: 6860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.017 | time: 1:13:11.0 | step: 6870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.045 | time: 1:13:20.1 | step: 6880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 1:13:28.7 | step: 6890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.047 | time: 1:13:37.8 | step: 6900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.037 | time: 1:13:46.8 | step: 6910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 1:13:55.9 | step: 6920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 1:14:04.9 | step: 6930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.026 | time: 1:14:13.6 | step: 6940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 1:14:22.6 | step: 6950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 1:14:31.6 | step: 6960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 1:14:40.7 | step: 6970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.044 | time: 1:14:49.7 | step: 6980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.038 | time: 1:14:58.3 | step: 6990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 1:15:07.4 | step: 7000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 1:15:16.4 | step: 7010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 1:15:25.4 | step: 7020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 1:15:34.0 | step: 7030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 1:15:43.0 | step: 7040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 1:15:52.0 | step: 7050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:16:01.0 | step: 7060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.045 | time: 1:16:10.1 | step: 7070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.018 | time: 1:16:18.7 | step: 7080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 1:16:27.8 | step: 7090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 1:16:36.8 | step: 7100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 1:16:45.8 | step: 7110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 1:16:54.8 | step: 7120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:17:03.4 | step: 7130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.004 | time: 1:17:12.4 | step: 7140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.033 | time: 1:17:21.5 | step: 7150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 1:17:30.6 | step: 7160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:17:39.2 | step: 7170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:17:48.4 | step: 7180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:17:57.4 | step: 7190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 1:18:06.4 | step: 7200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 1:18:15.4 | step: 7210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.034 | time: 1:18:24.0 | step: 7220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 1:18:33.0 | step: 7230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 1:18:42.1 | step: 7240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.032 | time: 1:18:51.1 | step: 7250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 1:19:00.2 | step: 7260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 1:19:08.8 | step: 7270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 1:19:17.8 | step: 7280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 1:19:26.9 | step: 7290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.005 | time: 1:19:36.0 | step: 7300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 1:19:45.1 | step: 7310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.033 | time: 1:19:53.7 | step: 7320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.044 | time: 1:20:02.8 | step: 7330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 1:20:11.8 | step: 7340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.004 | time: 1:20:20.9 | step: 7350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 1:20:29.6 | step: 7360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 1:20:38.6 | step: 7370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 1:20:47.7 | step: 7380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 1:20:56.7 | step: 7390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 1:21:05.7 | step: 7400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 1:21:14.3 | step: 7410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 1:21:23.3 | step: 7420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:21:32.3 | step: 7430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 1:21:41.3 | step: 7440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:21:50.4 | step: 7450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 1:21:58.9 | step: 7460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 1:22:08.0 | step: 7470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 1:22:17.0 | step: 7480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 1:22:26.0 | step: 7490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 1:22:34.6 | step: 7500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 1:22:43.7 | step: 7510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.050 | time: 1:22:52.7 | step: 7520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:23:01.7 | step: 7530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 1:23:10.8 | step: 7540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.042 | time: 1:23:19.4 | step: 7550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.048 | time: 1:23:28.4 | step: 7560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:23:37.5 | step: 7570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 1:23:46.5 | step: 7580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:23:55.6 | step: 7590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.012 | time: 1:24:04.2 | step: 7600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 1:24:13.2 | step: 7610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.032 | time: 1:24:22.3 | step: 7620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 1:24:31.3 | step: 7630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 1:24:39.9 | step: 7640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:24:49.0 | step: 7650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:24:58.0 | step: 7660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 1:25:07.0 | step: 7670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.034 | time: 1:25:16.1 | step: 7680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.009 | time: 1:25:24.7 | step: 7690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 1:25:33.8 | step: 7700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 1:25:42.9 | step: 7710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 1:25:51.9 | step: 7720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:26:01.0 | step: 7730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 1:26:09.5 | step: 7740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 1:26:18.5 | step: 7750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 1:26:27.6 | step: 7760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 1:26:36.6 | step: 7770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.047 | time: 1:26:45.7 | step: 7780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 1:26:54.3 | step: 7790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 1:27:03.4 | step: 7800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.034 | time: 1:27:12.5 | step: 7810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 1:27:21.6 | step: 7820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 1:27:30.2 | step: 7830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 1:27:39.2 | step: 7840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 1:27:48.3 | step: 7850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 1:27:57.3 | step: 7860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 1:28:06.4 | step: 7870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 1:28:15.0 | step: 7880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 1:28:24.0 | step: 7890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 1:28:33.0 | step: 7900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 1:28:42.1 | step: 7910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 1:28:51.2 | step: 7920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 1:28:59.9 | step: 7930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 1:29:08.9 | step: 7940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 1:29:18.0 | step: 7950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 1:29:27.1 | step: 7960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.026 | time: 1:29:35.7 | step: 7970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 1:29:44.8 | step: 7980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 1:29:53.8 | step: 7990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 1:30:02.9 | step: 8000 epoch: 127 | 40/ 47 | logs/44k/diffusion | batch/s: 0.37 | lr: 0.0002 | loss: 0.019 | time: 1:30:29.6 | step: 8010 epoch: 128 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.003 | time: 1:30:38.2 | step: 8020 epoch: 128 | 13/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.009 | time: 1:30:47.6 | step: 8030 epoch: 128 | 23/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.014 | time: 1:30:57.1 | step: 8040 epoch: 128 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:31:06.3 | step: 8050 epoch: 128 | 43/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 1:31:15.4 | step: 8060 epoch: 129 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:31:23.9 | step: 8070 epoch: 129 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:31:32.7 | step: 8080 epoch: 129 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 1:31:41.6 | step: 8090 epoch: 129 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 1:31:50.6 | step: 8100 epoch: 129 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:31:59.1 | step: 8110 epoch: 130 | 9/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 1:32:08.3 | step: 8120 epoch: 130 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:32:17.5 | step: 8130 epoch: 130 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 1:32:26.6 | step: 8140 epoch: 130 | 39/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 1:32:35.7 | step: 8150 epoch: 131 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 1:32:44.3 | step: 8160 epoch: 131 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 1:32:53.4 | step: 8170 epoch: 131 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 1:33:02.3 | step: 8180 epoch: 131 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 1:33:11.4 | step: 8190 epoch: 131 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 1:33:20.4 | step: 8200 epoch: 132 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.022 | time: 1:33:29.0 | step: 8210 epoch: 132 | 15/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.042 | time: 1:33:38.0 | step: 8220 epoch: 132 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 1:33:47.1 | step: 8230 epoch: 132 | 35/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 1:33:56.2 | step: 8240 epoch: 132 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 1:34:05.2 | step: 8250 epoch: 133 | 8/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 1:34:13.9 | step: 8260 epoch: 133 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 1:34:23.0 | step: 8270 epoch: 133 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 1:34:32.0 | step: 8280 epoch: 133 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 1:34:41.1 | step: 8290 epoch: 134 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 1:34:49.8 | step: 8300 epoch: 134 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.017 | time: 1:34:58.8 | step: 8310 epoch: 134 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 1:35:07.9 | step: 8320 epoch: 134 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 1:35:17.0 | step: 8330 epoch: 134 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 1:35:26.0 | step: 8340 epoch: 135 | 4/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.028 | time: 1:35:34.7 | step: 8350 epoch: 135 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 1:35:43.8 | step: 8360 epoch: 135 | 24/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.017 | time: 1:35:52.8 | step: 8370 epoch: 135 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.045 | time: 1:36:01.9 | step: 8380 epoch: 135 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 1:36:10.9 | step: 8390 epoch: 136 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 1:36:19.5 | step: 8400 epoch: 136 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:36:28.5 | step: 8410 epoch: 136 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:36:37.5 | step: 8420 epoch: 136 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 1:36:46.5 | step: 8430 epoch: 137 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.044 | time: 1:36:55.1 | step: 8440 epoch: 137 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 1:37:04.1 | step: 8450 epoch: 137 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:37:13.1 | step: 8460 epoch: 137 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 1:37:22.1 | step: 8470 epoch: 137 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 1:37:31.1 | step: 8480 epoch: 138 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 1:37:39.7 | step: 8490 epoch: 138 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 1:37:48.7 | step: 8500 epoch: 138 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 1:37:57.8 | step: 8510 epoch: 138 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 1:38:06.8 | step: 8520 epoch: 138 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 1:38:15.8 | step: 8530 epoch: 139 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.040 | time: 1:38:24.4 | step: 8540 epoch: 139 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 1:38:33.4 | step: 8550 epoch: 139 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:38:42.4 | step: 8560 epoch: 139 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 1:38:51.4 | step: 8570 epoch: 139 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 1:39:00.0 | step: 8580 epoch: 140 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:39:09.2 | step: 8590 epoch: 140 | 19/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 1:39:18.3 | step: 8600 epoch: 140 | 29/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.031 | time: 1:39:27.3 | step: 8610 epoch: 140 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 1:39:36.4 | step: 8620 epoch: 141 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.062 | time: 1:39:45.0 | step: 8630 epoch: 141 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 1:39:54.0 | step: 8640 epoch: 141 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 1:40:03.0 | step: 8650 epoch: 141 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.038 | time: 1:40:12.0 | step: 8660 epoch: 141 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 1:40:21.1 | step: 8670 epoch: 142 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.056 | time: 1:40:29.7 | step: 8680 epoch: 142 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:40:38.7 | step: 8690 epoch: 142 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 1:40:47.7 | step: 8700 epoch: 142 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.045 | time: 1:40:56.8 | step: 8710 epoch: 142 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 1:41:05.8 | step: 8720 epoch: 143 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.009 | time: 1:41:14.4 | step: 8730 epoch: 143 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 1:41:23.4 | step: 8740 epoch: 143 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 1:41:32.5 | step: 8750 epoch: 143 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 1:41:41.5 | step: 8760 epoch: 144 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.009 | time: 1:41:50.1 | step: 8770 epoch: 144 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 1:41:59.1 | step: 8780 epoch: 144 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 1:42:08.2 | step: 8790 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.63 | lr: 0.0002 | loss: 0.011 | time: 0:00:16.4 | step: 8010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.007 | time: 0:00:24.5 | step: 8020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.008 | time: 0:00:32.8 | step: 8030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 0:00:41.1 | step: 8040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.011 | time: 0:00:49.3 | step: 8050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:00:57.8 | step: 8060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.045 | time: 0:01:06.5 | step: 8070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.012 | time: 0:01:15.1 | step: 8080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:01:23.6 | step: 8090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 0:01:31.7 | step: 8100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:01:40.1 | step: 8110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 0:01:48.6 | step: 8120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:01:57.0 | step: 8130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:02:05.6 | step: 8140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.011 | time: 0:02:13.7 | step: 8150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:02:22.3 | step: 8160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.017 | time: 0:02:31.0 | step: 8170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 0:02:39.7 | step: 8180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.020 | time: 0:02:48.0 | step: 8190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 0:02:56.6 | step: 8200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:03:05.3 | step: 8210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:03:13.9 | step: 8220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.024 | time: 0:03:22.6 | step: 8230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.042 | time: 0:03:30.8 | step: 8240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:03:39.5 | step: 8250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 0:03:48.2 | step: 8260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:03:56.9 | step: 8270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 0:04:05.6 | step: 8280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.040 | time: 0:04:13.9 | step: 8290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.025 | time: 0:04:22.6 | step: 8300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:04:31.3 | step: 8310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:04:40.0 | step: 8320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.046 | time: 0:04:48.3 | step: 8330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.024 | time: 0:04:57.1 | step: 8340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:05:05.8 | step: 8350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:05:14.6 | step: 8360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:05:23.3 | step: 8370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.047 | time: 0:05:31.6 | step: 8380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:05:40.4 | step: 8390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:05:49.1 | step: 8400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:05:57.9 | step: 8410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:06:06.7 | step: 8420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:06:15.2 | step: 8430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:06:24.2 | step: 8440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:06:33.4 | step: 8450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 0:06:42.5 | step: 8460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:06:51.2 | step: 8470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:07:00.3 | step: 8480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:07:09.3 | step: 8490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:07:18.3 | step: 8500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:07:27.3 | step: 8510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.024 | time: 0:07:35.8 | step: 8520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:07:44.9 | step: 8530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:07:53.9 | step: 8540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:08:03.0 | step: 8550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:08:12.0 | step: 8560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.012 | time: 0:08:20.7 | step: 8570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:08:29.7 | step: 8580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:08:38.8 | step: 8590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:08:47.8 | step: 8600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:08:56.9 | step: 8610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.033 | time: 0:09:05.5 | step: 8620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:09:14.5 | step: 8630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:09:23.5 | step: 8640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:09:32.5 | step: 8650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 0:09:41.1 | step: 8660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:09:50.1 | step: 8670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:09:59.1 | step: 8680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:10:08.1 | step: 8690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:10:17.1 | step: 8700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:10:25.6 | step: 8710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:10:34.6 | step: 8720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:10:43.6 | step: 8730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:10:52.6 | step: 8740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:11:01.7 | step: 8750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.036 | time: 0:11:10.3 | step: 8760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.054 | time: 0:11:19.3 | step: 8770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:11:28.3 | step: 8780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:11:37.4 | step: 8790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:11:46.0 | step: 8800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:11:55.0 | step: 8810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:12:04.0 | step: 8820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:12:13.0 | step: 8830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:12:22.0 | step: 8840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.017 | time: 0:12:30.6 | step: 8850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:12:39.6 | step: 8860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:12:48.6 | step: 8870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.005 | time: 0:12:57.7 | step: 8880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:13:06.7 | step: 8890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:13:15.3 | step: 8900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.046 | time: 0:13:24.4 | step: 8910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:13:33.5 | step: 8920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:13:42.6 | step: 8930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:13:51.2 | step: 8940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:14:00.3 | step: 8950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:14:09.4 | step: 8960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:14:18.4 | step: 8970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:14:27.5 | step: 8980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:14:36.1 | step: 8990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:14:45.1 | step: 9000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:14:54.1 | step: 9010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:15:03.2 | step: 9020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:15:12.2 | step: 9030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:15:20.8 | step: 9040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:15:29.8 | step: 9050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:15:38.8 | step: 9060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:15:47.9 | step: 9070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:15:56.9 | step: 9080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:16:05.5 | step: 9090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:16:14.5 | step: 9100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:16:23.5 | step: 9110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:16:32.5 | step: 9120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:16:41.1 | step: 9130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:16:50.2 | step: 9140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:16:59.2 | step: 9150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:17:08.2 | step: 9160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.045 | time: 0:17:17.2 | step: 9170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.031 | time: 0:17:25.8 | step: 9180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:17:34.9 | step: 9190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:17:43.9 | step: 9200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.042 | time: 0:17:52.9 | step: 9210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:18:01.9 | step: 9220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:18:10.5 | step: 9230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 0:18:19.6 | step: 9240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:18:28.6 | step: 9250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:18:37.6 | step: 9260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:18:46.2 | step: 9270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:18:55.2 | step: 9280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:19:04.2 | step: 9290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:19:13.1 | step: 9300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:19:22.1 | step: 9310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:19:30.6 | step: 9320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.052 | time: 0:19:39.5 | step: 9330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:19:48.4 | step: 9340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:19:57.3 | step: 9350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:20:06.2 | step: 9360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 0:20:14.7 | step: 9370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:20:23.5 | step: 9380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:20:32.3 | step: 9390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:20:41.1 | step: 9400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:20:49.5 | step: 9410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.038 | time: 0:20:58.4 | step: 9420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:21:07.2 | step: 9430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:21:16.0 | step: 9440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.047 | time: 0:21:24.8 | step: 9450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.035 | time: 0:21:33.1 | step: 9460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:21:41.9 | step: 9470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:21:50.7 | step: 9480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:21:59.5 | step: 9490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:22:08.3 | step: 9500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.027 | time: 0:22:16.7 | step: 9510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:22:25.6 | step: 9520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:22:34.5 | step: 9530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:22:43.6 | step: 9540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:22:52.7 | step: 9550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 0:23:01.3 | step: 9560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:23:10.4 | step: 9570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:23:19.4 | step: 9580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:23:28.4 | step: 9590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.021 | time: 0:23:36.9 | step: 9600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:23:45.9 | step: 9610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:23:54.9 | step: 9620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:24:03.9 | step: 9630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:24:12.9 | step: 9640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:24:21.4 | step: 9650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:24:30.4 | step: 9660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:24:39.4 | step: 9670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:24:48.4 | step: 9680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:24:57.4 | step: 9690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:25:06.0 | step: 9700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:25:15.0 | step: 9710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:25:24.1 | step: 9720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:25:33.1 | step: 9730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 0:25:41.6 | step: 9740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:25:50.7 | step: 9750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:25:59.7 | step: 9760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:26:08.7 | step: 9770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:26:17.7 | step: 9780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:26:26.3 | step: 9790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:26:35.3 | step: 9800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:26:44.3 | step: 9810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:26:53.3 | step: 9820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:27:02.3 | step: 9830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.031 | time: 0:27:10.9 | step: 9840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:27:19.9 | step: 9850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:27:28.9 | step: 9860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:27:37.9 | step: 9870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:27:46.5 | step: 9880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:27:55.5 | step: 9890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:28:04.6 | step: 9900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:28:13.6 | step: 9910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:28:22.6 | step: 9920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:28:31.1 | step: 9930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:28:40.1 | step: 9940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:28:49.2 | step: 9950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:28:58.2 | step: 9960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:29:07.2 | step: 9970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.029 | time: 0:29:15.8 | step: 9980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:29:24.8 | step: 9990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:29:33.8 | step: 10000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.24 | lr: 0.0002 | loss: 0.014 | time: 0:30:16.3 | step: 10010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 0:30:25.0 | step: 10020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.024 | time: 0:30:33.3 | step: 10030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.027 | time: 0:30:42.0 | step: 10040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:30:50.7 | step: 10050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.017 | time: 0:30:59.4 | step: 10060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.023 | time: 0:31:07.6 | step: 10070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.024 | time: 0:31:16.3 | step: 10080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.042 | time: 0:31:25.0 | step: 10090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:31:33.8 | step: 10100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:31:42.5 | step: 10110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 0:31:50.9 | step: 10120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:31:59.7 | step: 10130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:32:08.4 | step: 10140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:32:17.2 | step: 10150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 0:32:26.0 | step: 10160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:32:34.3 | step: 10170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 0:32:43.1 | step: 10180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:32:51.8 | step: 10190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:33:00.6 | step: 10200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:33:08.9 | step: 10210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:33:17.7 | step: 10220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 0:33:26.4 | step: 10230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:33:35.2 | step: 10240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:33:44.0 | step: 10250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.023 | time: 0:33:52.3 | step: 10260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:34:01.1 | step: 10270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:34:09.8 | step: 10280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:34:18.6 | step: 10290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:34:27.4 | step: 10300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 0:34:35.7 | step: 10310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:34:44.5 | step: 10320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:34:53.2 | step: 10330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:35:02.0 | step: 10340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:35:10.5 | step: 10350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.048 | time: 0:35:19.7 | step: 10360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 0:35:28.8 | step: 10370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 0:35:37.9 | step: 10380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 0:35:47.0 | step: 10390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.046 | time: 0:35:55.7 | step: 10400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 0:36:04.7 | step: 10410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:36:13.7 | step: 10420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.039 | time: 0:36:22.7 | step: 10430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:36:31.7 | step: 10440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:36:40.2 | step: 10450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:36:49.2 | step: 10460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:36:58.2 | step: 10470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:37:07.2 | step: 10480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:37:16.3 | step: 10490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:37:24.8 | step: 10500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:37:33.8 | step: 10510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:37:42.8 | step: 10520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:37:51.9 | step: 10530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.018 | time: 0:38:00.5 | step: 10540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 0:38:09.5 | step: 10550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:38:18.5 | step: 10560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:38:27.6 | step: 10570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:38:36.6 | step: 10580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:38:45.2 | step: 10590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 0:38:54.2 | step: 10600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:39:03.2 | step: 10610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:39:12.3 | step: 10620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:39:21.3 | step: 10630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 0:39:29.9 | step: 10640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:39:38.9 | step: 10650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:39:47.9 | step: 10660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:39:57.0 | step: 10670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:40:05.6 | step: 10680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:40:14.6 | step: 10690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:40:23.6 | step: 10700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:40:32.6 | step: 10710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:40:41.7 | step: 10720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:40:50.3 | step: 10730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:40:59.3 | step: 10740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:41:08.3 | step: 10750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:41:17.3 | step: 10760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:41:26.3 | step: 10770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 0:41:34.9 | step: 10780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:41:43.9 | step: 10790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:41:52.9 | step: 10800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:42:01.9 | step: 10810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.024 | time: 0:42:10.5 | step: 10820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:42:19.6 | step: 10830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:42:28.6 | step: 10840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:42:37.6 | step: 10850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:42:46.6 | step: 10860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.025 | time: 0:42:55.2 | step: 10870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:43:04.2 | step: 10880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.045 | time: 0:43:13.2 | step: 10890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:43:22.2 | step: 10900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:43:31.2 | step: 10910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:43:39.8 | step: 10920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:43:48.8 | step: 10930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:43:57.8 | step: 10940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:44:06.8 | step: 10950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:44:15.8 | step: 10960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:44:24.3 | step: 10970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:44:33.3 | step: 10980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:44:42.3 | step: 10990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.036 | time: 0:44:51.4 | step: 11000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 0:44:59.9 | step: 11010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:45:09.0 | step: 11020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.042 | time: 0:45:18.0 | step: 11030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:45:27.0 | step: 11040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:45:36.0 | step: 11050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.038 | time: 0:45:44.6 | step: 11060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:45:53.6 | step: 11070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.041 | time: 0:46:02.6 | step: 11080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:46:11.6 | step: 11090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:46:20.7 | step: 11100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:46:29.3 | step: 11110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:46:38.3 | step: 11120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:46:47.3 | step: 11130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:46:56.4 | step: 11140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:47:05.0 | step: 11150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.004 | time: 0:47:14.0 | step: 11160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:47:23.1 | step: 11170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:47:32.1 | step: 11180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.032 | time: 0:47:41.1 | step: 11190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.044 | time: 0:47:49.8 | step: 11200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.036 | time: 0:47:58.8 | step: 11210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:48:07.9 | step: 11220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:48:17.0 | step: 11230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 0:48:26.0 | step: 11240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.048 | time: 0:48:34.6 | step: 11250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 0:48:43.6 | step: 11260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:48:52.6 | step: 11270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:49:01.5 | step: 11280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:49:10.0 | step: 11290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 0:49:19.1 | step: 11300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:49:28.0 | step: 11310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 0:49:36.9 | step: 11320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 0:49:45.8 | step: 11330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:49:54.3 | step: 11340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:50:03.1 | step: 11350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:50:12.0 | step: 11360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:50:20.9 | step: 11370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:50:29.7 | step: 11380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 0:50:38.1 | step: 11390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:50:47.0 | step: 11400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:50:55.8 | step: 11410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:51:04.6 | step: 11420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:51:13.4 | step: 11430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.012 | time: 0:51:21.8 | step: 11440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:51:30.6 | step: 11450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:51:39.4 | step: 11460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:51:48.2 | step: 11470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:51:56.6 | step: 11480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:52:05.4 | step: 11490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:52:14.1 | step: 11500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:52:22.9 | step: 11510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:52:31.7 | step: 11520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.029 | time: 0:52:40.0 | step: 11530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:52:48.8 | step: 11540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:52:57.5 | step: 11550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:53:06.3 | step: 11560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:53:15.0 | step: 11570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.048 | time: 0:53:23.4 | step: 11580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:53:32.2 | step: 11590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:53:40.9 | step: 11600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:53:49.7 | step: 11610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:53:58.1 | step: 11620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:54:06.9 | step: 11630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:54:15.6 | step: 11640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:54:24.4 | step: 11650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:54:33.2 | step: 11660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.005 | time: 0:54:41.6 | step: 11670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:54:50.3 | step: 11680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:54:59.1 | step: 11690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:55:07.9 | step: 11700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:55:16.6 | step: 11710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.043 | time: 0:55:25.0 | step: 11720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:55:33.7 | step: 11730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:55:42.5 | step: 11740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 0:55:51.2 | step: 11750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.013 | time: 0:55:59.6 | step: 11760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:56:08.4 | step: 11770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:56:17.1 | step: 11780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.035 | time: 0:56:25.9 | step: 11790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:56:34.6 | step: 11800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:56:42.9 | step: 11810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 0:56:51.7 | step: 11820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.032 | time: 0:57:00.4 | step: 11830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:57:09.2 | step: 11840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:57:17.9 | step: 11850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.026 | time: 0:57:26.3 | step: 11860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:57:35.1 | step: 11870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:57:43.8 | step: 11880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:57:52.6 | step: 11890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:58:01.4 | step: 11900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.028 | time: 0:58:09.8 | step: 11910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:58:18.5 | step: 11920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:58:27.3 | step: 11930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 0:58:36.0 | step: 11940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:58:44.4 | step: 11950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:58:53.1 | step: 11960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:59:01.9 | step: 11970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:59:10.6 | step: 11980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:59:19.4 | step: 11990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 0:59:27.7 | step: 12000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.29 | lr: 0.0002 | loss: 0.011 | time: 1:00:02.7 | step: 12010 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 1.00 | lr: 0.0002 | loss: 0.020 | time: 0:00:10.5 | step: 12010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.040 | time: 0:00:18.5 | step: 12020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.043 | time: 0:00:26.7 | step: 12030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.018 | time: 0:00:35.1 | step: 12040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 0:00:43.1 | step: 12050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:00:51.7 | step: 12060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:01:00.3 | step: 12070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:01:09.0 | step: 12080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:01:17.9 | step: 12090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.017 | time: 0:01:26.6 | step: 12100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.024 | time: 0:01:36.0 | step: 12110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:01:45.2 | step: 12120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 0:01:54.3 | step: 12130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.033 | time: 0:02:03.2 | step: 12140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 0:02:11.7 | step: 12150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:02:20.5 | step: 12160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:02:29.4 | step: 12170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:02:38.4 | step: 12180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.005 | time: 0:02:46.9 | step: 12190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:02:56.0 | step: 12200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:03:05.1 | step: 12210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:03:14.1 | step: 12220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:03:23.2 | step: 12230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.023 | time: 0:03:31.8 | step: 12240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:03:40.8 | step: 12250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:03:49.8 | step: 12260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:03:58.8 | step: 12270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:04:07.8 | step: 12280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:04:16.3 | step: 12290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.040 | time: 0:04:25.3 | step: 12300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:04:34.4 | step: 12310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:04:43.4 | step: 12320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.024 | time: 0:04:52.0 | step: 12330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:05:01.0 | step: 12340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:05:10.1 | step: 12350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:05:19.1 | step: 12360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:05:28.1 | step: 12370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.042 | time: 0:05:36.7 | step: 12380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:05:45.7 | step: 12390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.030 | time: 0:05:54.8 | step: 12400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:06:03.8 | step: 12410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:06:12.8 | step: 12420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:06:21.4 | step: 12430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:06:30.5 | step: 12440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:06:39.5 | step: 12450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:06:48.5 | step: 12460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:06:57.1 | step: 12470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:07:06.2 | step: 12480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:07:15.2 | step: 12490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:07:24.3 | step: 12500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:07:33.3 | step: 12510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:07:41.9 | step: 12520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:07:50.9 | step: 12530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:08:00.0 | step: 12540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:08:09.0 | step: 12550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:08:18.0 | step: 12560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 0:08:26.7 | step: 12570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:08:35.7 | step: 12580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:08:44.8 | step: 12590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:08:53.9 | step: 12600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:09:02.9 | step: 12610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:09:11.5 | step: 12620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:09:20.6 | step: 12630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.034 | time: 0:09:29.6 | step: 12640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:09:38.7 | step: 12650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.022 | time: 0:09:47.3 | step: 12660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 0:09:56.3 | step: 12670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:10:05.4 | step: 12680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.037 | time: 0:10:14.4 | step: 12690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:10:23.5 | step: 12700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.034 | time: 0:10:32.0 | step: 12710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:10:41.0 | step: 12720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:10:50.0 | step: 12730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:10:59.0 | step: 12740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:11:08.0 | step: 12750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.032 | time: 0:11:16.5 | step: 12760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:11:25.5 | step: 12770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:11:34.5 | step: 12780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:11:43.5 | step: 12790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 0:11:52.1 | step: 12800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:12:01.0 | step: 12810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.046 | time: 0:12:10.0 | step: 12820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:12:19.0 | step: 12830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:12:28.0 | step: 12840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.051 | time: 0:12:36.6 | step: 12850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.045 | time: 0:12:45.6 | step: 12860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:12:54.5 | step: 12870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.034 | time: 0:13:03.5 | step: 12880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:13:12.5 | step: 12890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:13:21.1 | step: 12900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:13:30.1 | step: 12910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:13:39.1 | step: 12920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 0:13:48.1 | step: 12930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.005 | time: 0:13:56.7 | step: 12940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:14:05.8 | step: 12950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:14:14.8 | step: 12960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:14:23.8 | step: 12970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:14:32.9 | step: 12980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 0:14:41.5 | step: 12990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:14:50.5 | step: 13000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:14:59.5 | step: 13010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 0:15:08.6 | step: 13020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:15:17.7 | step: 13030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 0:15:26.3 | step: 13040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:15:35.4 | step: 13050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.034 | time: 0:15:44.4 | step: 13060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:15:53.5 | step: 13070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 0:16:02.5 | step: 13080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.020 | time: 0:16:11.2 | step: 13090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.035 | time: 0:16:20.2 | step: 13100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.017 | time: 0:16:29.3 | step: 13110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 0:16:38.4 | step: 13120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.007 | time: 0:16:47.0 | step: 13130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.006 | time: 0:16:56.0 | step: 13140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:17:05.1 | step: 13150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.043 | time: 0:17:14.1 | step: 13160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:17:23.1 | step: 13170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 0:17:31.6 | step: 13180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 0:17:40.6 | step: 13190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:17:49.6 | step: 13200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:17:58.6 | step: 13210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.035 | time: 0:18:07.6 | step: 13220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:18:16.1 | step: 13230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:18:25.1 | step: 13240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:18:34.1 | step: 13250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.016 | time: 0:18:43.1 | step: 13260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:18:51.7 | step: 13270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 0:19:00.7 | step: 13280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:19:09.7 | step: 13290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:19:18.8 | step: 13300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:19:27.8 | step: 13310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:19:36.5 | step: 13320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.031 | time: 0:19:45.6 | step: 13330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:19:54.6 | step: 13340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:20:03.7 | step: 13350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.034 | time: 0:20:12.7 | step: 13360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.046 | time: 0:20:21.3 | step: 13370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.042 | time: 0:20:30.3 | step: 13380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:20:39.3 | step: 13390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:20:48.2 | step: 13400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:20:56.8 | step: 13410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:21:05.9 | step: 13420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:21:14.9 | step: 13430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:21:23.9 | step: 13440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:21:33.0 | step: 13450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.026 | time: 0:21:41.6 | step: 13460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 0:21:50.6 | step: 13470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.025 | time: 0:21:59.6 | step: 13480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:22:08.7 | step: 13490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:22:17.7 | step: 13500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:22:26.3 | step: 13510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:22:35.3 | step: 13520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:22:44.3 | step: 13530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:22:53.3 | step: 13540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:23:02.3 | step: 13550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:23:10.9 | step: 13560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.018 | time: 0:23:19.9 | step: 13570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:23:28.9 | step: 13580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:23:37.9 | step: 13590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.052 | time: 0:23:46.5 | step: 13600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:23:55.5 | step: 13610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.005 | time: 0:24:04.5 | step: 13620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:24:13.5 | step: 13630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:24:22.5 | step: 13640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 0:24:31.1 | step: 13650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.014 | time: 0:24:40.1 | step: 13660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:24:49.1 | step: 13670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.004 | time: 0:24:58.1 | step: 13680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.028 | time: 0:25:07.1 | step: 13690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 0:25:15.7 | step: 13700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:25:24.7 | step: 13710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:25:33.7 | step: 13720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:25:42.7 | step: 13730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.026 | time: 0:25:51.3 | step: 13740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.024 | time: 0:26:00.3 | step: 13750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.033 | time: 0:26:09.3 | step: 13760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.023 | time: 0:26:18.3 | step: 13770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.075 | time: 0:26:27.3 | step: 13780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.032 | time: 0:26:35.9 | step: 13790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 0:26:44.9 | step: 13800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:26:53.9 | step: 13810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.048 | time: 0:27:03.0 | step: 13820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.012 | time: 0:27:12.0 | step: 13830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.041 | time: 0:27:20.6 | step: 13840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.029 | time: 0:27:29.7 | step: 13850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.005 | time: 0:27:38.7 | step: 13860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:27:47.8 | step: 13870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.043 | time: 0:27:56.4 | step: 13880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:28:05.6 | step: 13890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 0:28:14.6 | step: 13900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 0:28:23.7 | step: 13910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 0:28:32.7 | step: 13920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.041 | time: 0:28:41.4 | step: 13930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:28:50.4 | step: 13940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:28:59.5 | step: 13950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:29:08.5 | step: 13960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:29:17.5 | step: 13970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.007 | time: 0:29:26.1 | step: 13980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.015 | time: 0:29:35.2 | step: 13990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.031 | time: 0:29:44.2 | step: 14000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.84 | lr: 0.0002 | loss: 0.013 | time: 0:00:12.5 | step: 14010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:00:22.1 | step: 14020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 0.99 | lr: 0.0002 | loss: 0.031 | time: 0:00:32.2 | step: 14030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 0.98 | lr: 0.0002 | loss: 0.034 | time: 0:00:42.4 | step: 14040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.030 | time: 0:00:51.9 | step: 14050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.035 | time: 0:01:01.4 | step: 14060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.031 | time: 0:01:10.8 | step: 14070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.023 | time: 0:01:20.1 | step: 14080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.019 | time: 0:01:29.5 | step: 14090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:01:38.5 | step: 14100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:01:48.0 | step: 14110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.020 | time: 0:01:57.6 | step: 14120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.03 | lr: 0.0002 | loss: 0.008 | time: 0:02:07.3 | step: 14130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.03 | lr: 0.0002 | loss: 0.020 | time: 0:02:17.0 | step: 14140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:02:26.1 | step: 14150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:02:35.7 | step: 14160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.003 | time: 0:02:45.2 | step: 14170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.006 | time: 0:02:54.7 | step: 14180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:03:03.7 | step: 14190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.019 | time: 0:03:13.2 | step: 14200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:03:22.8 | step: 14210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:03:32.3 | step: 14220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:03:41.8 | step: 14230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:03:50.9 | step: 14240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.009 | time: 0:04:00.5 | step: 14250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.007 | time: 0:04:10.1 | step: 14260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:04:19.7 | step: 14270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.016 | time: 0:04:29.3 | step: 14280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:04:38.4 | step: 14290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.020 | time: 0:04:48.0 | step: 14300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.027 | time: 0:04:57.6 | step: 14310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.027 | time: 0:05:07.2 | step: 14320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:05:16.3 | step: 14330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:05:25.9 | step: 14340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.019 | time: 0:05:35.5 | step: 14350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.038 | time: 0:05:45.1 | step: 14360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:05:54.7 | step: 14370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:06:03.8 | step: 14380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:06:13.4 | step: 14390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.005 | time: 0:06:23.0 | step: 14400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.014 | time: 0:06:32.5 | step: 14410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.011 | time: 0:06:42.1 | step: 14420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 0:06:51.2 | step: 14430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:07:00.8 | step: 14440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:07:10.4 | step: 14450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.022 | time: 0:07:20.0 | step: 14460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.006 | time: 0:07:29.1 | step: 14470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.053 | time: 0:07:38.7 | step: 14480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.015 | time: 0:07:48.3 | step: 14490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.004 | time: 0:07:57.8 | step: 14500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:08:07.4 | step: 14510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:08:16.5 | step: 14520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.030 | time: 0:08:26.1 | step: 14530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.007 | time: 0:08:35.7 | step: 14540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.016 | time: 0:08:45.3 | step: 14550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:08:54.8 | step: 14560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:09:03.9 | step: 14570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:09:13.5 | step: 14580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:09:23.1 | step: 14590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:09:32.6 | step: 14600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.022 | time: 0:09:42.2 | step: 14610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:09:51.3 | step: 14620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 0:10:00.9 | step: 14630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.028 | time: 0:10:10.5 | step: 14640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.022 | time: 0:10:20.0 | step: 14650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.040 | time: 0:10:29.2 | step: 14660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.033 | time: 0:10:38.7 | step: 14670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.016 | time: 0:10:48.3 | step: 14680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 0:10:57.9 | step: 14690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.014 | time: 0:11:07.5 | step: 14700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.038 | time: 0:11:16.6 | step: 14710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:11:26.1 | step: 14720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.023 | time: 0:11:35.7 | step: 14730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.021 | time: 0:11:45.3 | step: 14740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:11:54.9 | step: 14750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:12:04.0 | step: 14760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:12:13.5 | step: 14770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.009 | time: 0:12:23.1 | step: 14780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:12:32.7 | step: 14790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.040 | time: 0:12:41.8 | step: 14800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:12:51.4 | step: 14810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.022 | time: 0:13:00.9 | step: 14820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:13:10.5 | step: 14830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:13:20.1 | step: 14840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:13:29.2 | step: 14850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:13:38.7 | step: 14860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.032 | time: 0:13:48.3 | step: 14870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.021 | time: 0:13:57.9 | step: 14880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.028 | time: 0:14:07.4 | step: 14890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.030 | time: 0:14:16.5 | step: 14900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.003 | time: 0:14:26.1 | step: 14910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:14:35.7 | step: 14920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 0:14:45.2 | step: 14930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.015 | time: 0:14:54.3 | step: 14940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:15:04.0 | step: 14950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.027 | time: 0:15:13.5 | step: 14960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:15:23.1 | step: 14970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:15:32.7 | step: 14980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.038 | time: 0:15:41.8 | step: 14990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.013 | time: 0:15:51.3 | step: 15000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.015 | time: 0:16:00.9 | step: 15010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.028 | time: 0:16:10.5 | step: 15020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:16:20.0 | step: 15030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 0:16:29.1 | step: 15040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:16:38.7 | step: 15050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.022 | time: 0:16:48.2 | step: 15060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.005 | time: 0:16:57.8 | step: 15070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.029 | time: 0:17:07.4 | step: 15080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:17:16.5 | step: 15090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.025 | time: 0:17:26.0 | step: 15100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.010 | time: 0:17:35.6 | step: 15110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.031 | time: 0:17:45.1 | step: 15120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.024 | time: 0:17:54.2 | step: 15130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:18:03.8 | step: 15140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.014 | time: 0:18:13.3 | step: 15150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.015 | time: 0:18:22.9 | step: 15160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:18:32.4 | step: 15170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 0:18:41.5 | step: 15180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:18:51.1 | step: 15190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.028 | time: 0:19:00.6 | step: 15200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:19:10.2 | step: 15210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:19:19.8 | step: 15220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:19:28.8 | step: 15230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:19:38.4 | step: 15240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:19:48.0 | step: 15250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:19:57.5 | step: 15260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.042 | time: 0:20:06.6 | step: 15270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.023 | time: 0:20:16.2 | step: 15280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.022 | time: 0:20:25.7 | step: 15290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:20:35.3 | step: 15300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:20:44.9 | step: 15310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:20:54.0 | step: 15320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.039 | time: 0:21:03.5 | step: 15330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:21:13.1 | step: 15340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.035 | time: 0:21:22.7 | step: 15350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:21:32.2 | step: 15360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:21:41.3 | step: 15370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.031 | time: 0:21:50.9 | step: 15380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:22:00.5 | step: 15390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:22:10.0 | step: 15400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.008 | time: 0:22:19.1 | step: 15410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.039 | time: 0:22:28.8 | step: 15420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.014 | time: 0:22:38.4 | step: 15430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.006 | time: 0:22:47.9 | step: 15440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.037 | time: 0:22:57.5 | step: 15450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 0:23:06.6 | step: 15460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:23:16.2 | step: 15470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:23:25.8 | step: 15480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.015 | time: 0:23:35.3 | step: 15490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:23:44.9 | step: 15500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:23:54.0 | step: 15510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.032 | time: 0:24:03.6 | step: 15520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.011 | time: 0:24:13.2 | step: 15530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:24:22.7 | step: 15540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.034 | time: 0:24:32.3 | step: 15550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:24:41.4 | step: 15560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.020 | time: 0:24:51.0 | step: 15570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.036 | time: 0:25:00.6 | step: 15580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.022 | time: 0:25:10.1 | step: 15590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.005 | time: 0:25:19.3 | step: 15600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:25:28.8 | step: 15610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.011 | time: 0:25:38.4 | step: 15620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.009 | time: 0:25:48.0 | step: 15630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.032 | time: 0:25:57.6 | step: 15640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.026 | time: 0:26:06.7 | step: 15650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:26:16.3 | step: 15660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.006 | time: 0:26:25.9 | step: 15670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:26:35.4 | step: 15680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.019 | time: 0:26:45.0 | step: 15690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.039 | time: 0:26:54.1 | step: 15700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.038 | time: 0:27:03.7 | step: 15710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.011 | time: 0:27:13.3 | step: 15720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:27:22.9 | step: 15730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 0:27:32.0 | step: 15740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:27:41.6 | step: 15750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.028 | time: 0:27:51.2 | step: 15760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:28:00.8 | step: 15770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:28:10.4 | step: 15780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 0:28:19.5 | step: 15790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.019 | time: 0:28:29.1 | step: 15800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.034 | time: 0:28:38.7 | step: 15810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:28:48.2 | step: 15820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:28:57.8 | step: 15830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:29:06.9 | step: 15840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 0:29:16.5 | step: 15850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:29:26.1 | step: 15860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.022 | time: 0:29:35.7 | step: 15870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.013 | time: 0:29:44.8 | step: 15880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:29:54.4 | step: 15890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.009 | time: 0:30:04.0 | step: 15900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:30:13.6 | step: 15910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.027 | time: 0:30:23.2 | step: 15920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.029 | time: 0:30:32.3 | step: 15930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.023 | time: 0:30:41.9 | step: 15940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:30:51.5 | step: 15950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.014 | time: 0:31:01.1 | step: 15960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:31:10.7 | step: 15970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:31:19.8 | step: 15980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.031 | time: 0:31:29.4 | step: 15990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.020 | time: 0:31:39.0 | step: 16000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.23 | lr: 0.0002 | loss: 0.008 | time: 0:32:21.7 | step: 16010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.01 | lr: 0.0002 | loss: 0.010 | time: 0:32:31.6 | step: 16020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.02 | lr: 0.0002 | loss: 0.020 | time: 0:32:41.4 | step: 16030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 0.99 | lr: 0.0002 | loss: 0.024 | time: 0:32:51.5 | step: 16040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.03 | lr: 0.0002 | loss: 0.027 | time: 0:33:01.2 | step: 16050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:33:10.7 | step: 16060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:33:19.6 | step: 16070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 0:33:28.9 | step: 16080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.024 | time: 0:33:38.2 | step: 16090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.032 | time: 0:33:47.7 | step: 16100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.038 | time: 0:33:57.2 | step: 16110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 0:34:06.4 | step: 16120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.03 | lr: 0.0002 | loss: 0.033 | time: 0:34:16.1 | step: 16130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.014 | time: 0:34:25.8 | step: 16140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.022 | time: 0:34:35.4 | step: 16150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.006 | time: 0:34:45.0 | step: 16160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.037 | time: 0:34:54.1 | step: 16170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:35:03.6 | step: 16180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.014 | time: 0:35:13.1 | step: 16190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:35:22.6 | step: 16200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:35:31.7 | step: 16210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:35:41.3 | step: 16220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:35:50.8 | step: 16230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:36:00.4 | step: 16240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.012 | time: 0:36:10.0 | step: 16250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:36:19.2 | step: 16260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.026 | time: 0:36:28.8 | step: 16270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:36:38.4 | step: 16280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.021 | time: 0:36:48.0 | step: 16290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:36:57.5 | step: 16300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 0:37:06.6 | step: 16310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:37:16.2 | step: 16320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:37:25.7 | step: 16330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:37:35.3 | step: 16340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.006 | time: 0:37:44.3 | step: 16350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:37:53.9 | step: 16360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.004 | time: 0:38:03.4 | step: 16370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:38:12.9 | step: 16380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.005 | time: 0:38:22.5 | step: 16390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.018 | time: 0:38:31.5 | step: 16400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:38:41.1 | step: 16410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:38:50.6 | step: 16420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:39:00.2 | step: 16430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:39:09.7 | step: 16440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 0:39:18.8 | step: 16450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:39:28.4 | step: 16460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.037 | time: 0:39:37.9 | step: 16470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.028 | time: 0:39:47.5 | step: 16480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.043 | time: 0:39:57.0 | step: 16490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 0:40:06.1 | step: 16500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.026 | time: 0:40:15.7 | step: 16510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:40:25.2 | step: 16520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.038 | time: 0:40:34.8 | step: 16530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.029 | time: 0:40:43.9 | step: 16540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.020 | time: 0:40:53.5 | step: 16550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.029 | time: 0:41:03.0 | step: 16560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.015 | time: 0:41:12.6 | step: 16570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:41:22.1 | step: 16580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 0:41:31.2 | step: 16590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.027 | time: 0:41:40.8 | step: 16600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.007 | time: 0:41:50.4 | step: 16610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.034 | time: 0:41:59.9 | step: 16620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.032 | time: 0:42:09.5 | step: 16630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 0:42:18.6 | step: 16640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:42:28.1 | step: 16650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.038 | time: 0:42:37.7 | step: 16660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:42:47.3 | step: 16670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 0:42:56.4 | step: 16680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:43:05.9 | step: 16690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:43:15.5 | step: 16700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.030 | time: 0:43:25.1 | step: 16710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.047 | time: 0:43:34.6 | step: 16720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.021 | time: 0:43:43.7 | step: 16730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.010 | time: 0:43:53.3 | step: 16740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:44:02.8 | step: 16750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.034 | time: 0:44:12.4 | step: 16760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:44:22.0 | step: 16770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:44:31.1 | step: 16780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:44:40.7 | step: 16790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.041 | time: 0:44:50.2 | step: 16800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:44:59.8 | step: 16810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.015 | time: 0:45:08.9 | step: 16820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:45:18.5 | step: 16830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.013 | time: 0:45:28.1 | step: 16840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:45:37.7 | step: 16850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.028 | time: 0:45:47.2 | step: 16860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 0:45:56.4 | step: 16870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.023 | time: 0:46:05.9 | step: 16880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.040 | time: 0:46:15.5 | step: 16890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.025 | time: 0:46:25.1 | step: 16900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.021 | time: 0:46:34.6 | step: 16910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:46:43.7 | step: 16920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.006 | time: 0:46:53.3 | step: 16930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.027 | time: 0:47:02.9 | step: 16940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:47:12.5 | step: 16950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.045 | time: 0:47:22.0 | step: 16960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:47:31.1 | step: 16970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:47:40.7 | step: 16980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.041 | time: 0:47:50.3 | step: 16990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.019 | time: 0:47:59.9 | step: 17000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:48:09.0 | step: 17010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.023 | time: 0:48:18.5 | step: 17020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.022 | time: 0:48:28.1 | step: 17030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.007 | time: 0:48:37.7 | step: 17040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.037 | time: 0:48:47.2 | step: 17050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.027 | time: 0:48:56.3 | step: 17060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:49:05.9 | step: 17070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.007 | time: 0:49:15.5 | step: 17080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 0:49:25.0 | step: 17090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:49:34.6 | step: 17100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.011 | time: 0:49:43.7 | step: 17110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.049 | time: 0:49:53.3 | step: 17120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.031 | time: 0:50:02.8 | step: 17130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.012 | time: 0:50:12.4 | step: 17140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.021 | time: 0:50:21.4 | step: 17150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.019 | time: 0:50:30.9 | step: 17160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.025 | time: 0:50:40.5 | step: 17170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:50:50.1 | step: 17180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.036 | time: 0:50:59.7 | step: 17190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.023 | time: 0:51:08.8 | step: 17200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.023 | time: 0:51:18.4 | step: 17210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.023 | time: 0:51:28.0 | step: 17220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.043 | time: 0:51:37.6 | step: 17230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.014 | time: 0:51:47.2 | step: 17240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.036 | time: 0:51:56.3 | step: 17250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.032 | time: 0:52:05.9 | step: 17260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.010 | time: 0:52:15.5 | step: 17270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.008 | time: 0:52:25.1 | step: 17280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.028 | time: 0:52:34.1 | step: 17290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:52:43.7 | step: 17300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.052 | time: 0:52:53.3 | step: 17310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:53:02.8 | step: 17320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.043 | time: 0:53:12.3 | step: 17330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.035 | time: 0:53:21.4 | step: 17340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.032 | time: 0:53:30.9 | step: 17350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.011 | time: 0:53:40.4 | step: 17360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:53:50.0 | step: 17370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 0:53:59.5 | step: 17380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:54:08.6 | step: 17390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.028 | time: 0:54:18.1 | step: 17400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:54:27.6 | step: 17410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.031 | time: 0:54:37.2 | step: 17420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:54:46.7 | step: 17430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.019 | time: 0:54:55.8 | step: 17440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.012 | time: 0:55:05.3 | step: 17450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.015 | time: 0:55:14.8 | step: 17460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:55:24.3 | step: 17470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 0:55:33.4 | step: 17480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.017 | time: 0:55:43.0 | step: 17490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.010 | time: 0:55:52.6 | step: 17500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.015 | time: 0:56:02.2 | step: 17510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:56:11.8 | step: 17520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.040 | time: 0:56:20.9 | step: 17530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 0:56:30.5 | step: 17540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.016 | time: 0:56:40.0 | step: 17550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 0:56:49.6 | step: 17560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.012 | time: 0:56:59.1 | step: 17570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.017 | time: 0:57:08.1 | step: 17580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 0:57:17.6 | step: 17590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:57:27.1 | step: 17600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.047 | time: 0:57:36.6 | step: 17610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.044 | time: 0:57:45.7 | step: 17620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.041 | time: 0:57:55.2 | step: 17630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:58:04.8 | step: 17640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.035 | time: 0:58:14.3 | step: 17650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.037 | time: 0:58:23.9 | step: 17660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 0:58:33.0 | step: 17670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.024 | time: 0:58:42.6 | step: 17680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.018 | time: 0:58:52.2 | step: 17690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.031 | time: 0:59:01.8 | step: 17700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.04 | lr: 0.0002 | loss: 0.016 | time: 0:59:11.4 | step: 17710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 0:59:20.5 | step: 17720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.044 | time: 0:59:30.1 | step: 17730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 0:59:39.6 | step: 17740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 0:59:49.2 | step: 17750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.06 | lr: 0.0002 | loss: 0.010 | time: 0:59:58.2 | step: 17760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 1:00:07.8 | step: 17770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.014 | time: 1:00:17.3 | step: 17780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.017 | time: 1:00:26.8 | step: 17790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.038 | time: 1:00:36.4 | step: 17800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.016 | time: 1:00:45.4 | step: 17810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 1:00:55.0 | step: 17820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.013 | time: 1:01:04.5 | step: 17830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.012 | time: 1:01:14.0 | step: 17840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.009 | time: 1:01:23.6 | step: 17850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.088 | time: 1:01:32.6 | step: 17860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 1:01:42.2 | step: 17870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.018 | time: 1:01:51.7 | step: 17880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.008 | time: 1:02:01.3 | step: 17890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 1:02:10.8 | step: 17900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 1:02:19.8 | step: 17910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.015 | time: 1:02:29.4 | step: 17920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.024 | time: 1:02:38.9 | step: 17930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.007 | time: 1:02:48.4 | step: 17940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.032 | time: 1:02:57.5 | step: 17950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.033 | time: 1:03:07.0 | step: 17960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.030 | time: 1:03:16.5 | step: 17970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.012 | time: 1:03:26.1 | step: 17980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.05 | lr: 0.0002 | loss: 0.020 | time: 1:03:35.6 | step: 17990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 1:03:44.7 | step: 18000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.67 | lr: 0.0002 | loss: 0.012 | time: 0:00:15.5 | step: 18010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.026 | time: 0:00:23.5 | step: 18020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.021 | time: 0:00:31.6 | step: 18030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.063 | time: 0:00:39.7 | step: 18040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.26 | lr: 0.0002 | loss: 0.042 | time: 0:00:47.7 | step: 18050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 0:00:56.1 | step: 18060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.026 | time: 0:01:04.7 | step: 18070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 0:01:13.3 | step: 18080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:01:22.1 | step: 18090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:01:30.6 | step: 18100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 0:01:39.8 | step: 18110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.012 | time: 0:01:48.9 | step: 18120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:01:57.8 | step: 18130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:02:06.6 | step: 18140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:02:14.9 | step: 18150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:02:23.6 | step: 18160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 0:02:32.3 | step: 18170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:02:41.1 | step: 18180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:02:49.5 | step: 18190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 0:02:58.4 | step: 18200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:03:07.3 | step: 18210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:03:16.3 | step: 18220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:03:25.1 | step: 18230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:03:33.6 | step: 18240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:03:42.4 | step: 18250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:03:51.3 | step: 18260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:04:00.1 | step: 18270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:04:09.0 | step: 18280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:04:17.4 | step: 18290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:04:26.2 | step: 18300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:04:35.1 | step: 18310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:04:44.0 | step: 18320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 0:04:52.4 | step: 18330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:05:01.3 | step: 18340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 0:05:10.2 | step: 18350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:05:19.0 | step: 18360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:05:27.9 | step: 18370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:05:36.3 | step: 18380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:05:45.2 | step: 18390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:05:54.1 | step: 18400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:06:02.9 | step: 18410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:06:11.8 | step: 18420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 0:06:20.2 | step: 18430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:06:29.1 | step: 18440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 0:06:38.0 | step: 18450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:06:46.9 | step: 18460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:06:55.3 | step: 18470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:07:04.2 | step: 18480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 0:07:13.1 | step: 18490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:07:22.0 | step: 18500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:07:30.9 | step: 18510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:07:39.4 | step: 18520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:07:48.2 | step: 18530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:07:57.1 | step: 18540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:08:06.0 | step: 18550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:08:14.9 | step: 18560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 0:08:23.3 | step: 18570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:08:32.2 | step: 18580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:08:41.1 | step: 18590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:08:50.0 | step: 18600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:08:58.9 | step: 18610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:09:07.4 | step: 18620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:09:16.2 | step: 18630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.053 | time: 0:09:25.1 | step: 18640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:09:34.0 | step: 18650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:09:42.5 | step: 18660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 0:09:51.4 | step: 18670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 0:10:00.3 | step: 18680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 0:10:09.2 | step: 18690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:10:18.0 | step: 18700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.058 | time: 0:10:26.5 | step: 18710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:10:35.4 | step: 18720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.049 | time: 0:10:44.3 | step: 18730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:10:53.2 | step: 18740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 0:11:02.0 | step: 18750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:11:10.5 | step: 18760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:11:19.4 | step: 18770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:11:28.3 | step: 18780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:11:37.2 | step: 18790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:11:45.6 | step: 18800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:11:54.5 | step: 18810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:12:03.4 | step: 18820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 0:12:12.3 | step: 18830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:12:21.2 | step: 18840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:12:29.6 | step: 18850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:12:38.5 | step: 18860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:12:47.4 | step: 18870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:12:56.3 | step: 18880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:13:05.2 | step: 18890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:13:13.6 | step: 18900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:13:22.5 | step: 18910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:13:31.4 | step: 18920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:13:40.3 | step: 18930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.056 | time: 0:13:48.7 | step: 18940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 0:13:57.7 | step: 18950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.048 | time: 0:14:06.6 | step: 18960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:14:15.5 | step: 18970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 0:14:24.4 | step: 18980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:14:32.8 | step: 18990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:14:41.7 | step: 19000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:14:50.6 | step: 19010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:14:59.4 | step: 19020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:15:08.3 | step: 19030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:15:16.7 | step: 19040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:15:25.6 | step: 19050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:15:34.5 | step: 19060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.038 | time: 0:15:43.4 | step: 19070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:15:52.2 | step: 19080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 0:16:00.7 | step: 19090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 0:16:09.6 | step: 19100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:16:18.4 | step: 19110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:16:27.3 | step: 19120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:16:35.8 | step: 19130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.043 | time: 0:16:44.6 | step: 19140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:16:53.5 | step: 19150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 0:17:02.4 | step: 19160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:17:11.3 | step: 19170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:17:19.7 | step: 19180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:17:28.6 | step: 19190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:17:37.5 | step: 19200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 0:17:46.4 | step: 19210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:17:55.2 | step: 19220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 0:18:03.7 | step: 19230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:18:12.6 | step: 19240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:18:21.4 | step: 19250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:18:30.3 | step: 19260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 0:18:38.8 | step: 19270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:18:47.6 | step: 19280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.047 | time: 0:18:56.5 | step: 19290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:19:05.4 | step: 19300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:19:14.3 | step: 19310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.035 | time: 0:19:22.7 | step: 19320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:19:31.6 | step: 19330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 0:19:40.5 | step: 19340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:19:49.4 | step: 19350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:19:58.2 | step: 19360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:20:06.7 | step: 19370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:20:15.6 | step: 19380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:20:24.5 | step: 19390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:20:33.3 | step: 19400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:20:41.8 | step: 19410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.026 | time: 0:20:50.8 | step: 19420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:20:59.7 | step: 19430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:21:08.6 | step: 19440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:21:17.5 | step: 19450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:21:25.9 | step: 19460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:21:34.8 | step: 19470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:21:43.7 | step: 19480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:21:52.6 | step: 19490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 0:22:01.5 | step: 19500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:22:09.9 | step: 19510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 0:22:18.8 | step: 19520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 0:22:27.7 | step: 19530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:22:36.6 | step: 19540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.033 | time: 0:22:45.5 | step: 19550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:22:53.9 | step: 19560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:23:02.8 | step: 19570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 0:23:11.7 | step: 19580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:23:20.6 | step: 19590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:23:29.0 | step: 19600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:23:37.9 | step: 19610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:23:46.8 | step: 19620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:23:55.7 | step: 19630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:24:04.6 | step: 19640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:24:13.1 | step: 19650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:24:21.9 | step: 19660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:24:30.8 | step: 19670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 0:24:39.7 | step: 19680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:24:48.6 | step: 19690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:24:57.1 | step: 19700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:25:06.0 | step: 19710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 0:25:14.9 | step: 19720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:25:23.8 | step: 19730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:25:32.2 | step: 19740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:25:41.1 | step: 19750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:25:50.0 | step: 19760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:25:58.9 | step: 19770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.029 | time: 0:26:07.8 | step: 19780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 0:26:16.2 | step: 19790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:26:25.1 | step: 19800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:26:34.0 | step: 19810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:26:42.9 | step: 19820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:26:51.8 | step: 19830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:27:00.2 | step: 19840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:27:09.1 | step: 19850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:27:18.0 | step: 19860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:27:26.9 | step: 19870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:27:35.4 | step: 19880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 0:27:44.4 | step: 19890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:27:53.3 | step: 19900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:28:02.1 | step: 19910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:28:11.0 | step: 19920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.036 | time: 0:28:19.4 | step: 19930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:28:28.3 | step: 19940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:28:37.2 | step: 19950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:28:46.1 | step: 19960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:28:54.9 | step: 19970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:29:03.4 | step: 19980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 0:29:12.3 | step: 19990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:29:21.2 | step: 20000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.16 | lr: 0.0002 | loss: 0.008 | time: 0:30:24.1 | step: 20010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:30:33.1 | step: 20020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:30:42.0 | step: 20030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.011 | time: 0:30:51.3 | step: 20040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.009 | time: 0:31:00.4 | step: 20050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:31:09.2 | step: 20060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.031 | time: 0:31:17.6 | step: 20070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:31:26.3 | step: 20080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.020 | time: 0:31:35.0 | step: 20090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:31:43.7 | step: 20100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:31:52.6 | step: 20110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:32:01.1 | step: 20120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.037 | time: 0:32:10.1 | step: 20130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:32:19.0 | step: 20140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:32:27.9 | step: 20150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:32:36.8 | step: 20160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.033 | time: 0:32:45.3 | step: 20170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:32:54.1 | step: 20180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.044 | time: 0:33:02.9 | step: 20190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:33:11.8 | step: 20200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 0:33:20.2 | step: 20210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 0:33:29.1 | step: 20220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 0:33:38.0 | step: 20230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.029 | time: 0:33:46.9 | step: 20240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:33:55.8 | step: 20250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:34:04.3 | step: 20260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 0:34:13.2 | step: 20270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.036 | time: 0:34:22.1 | step: 20280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:34:31.0 | step: 20290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:34:39.9 | step: 20300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:34:48.4 | step: 20310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:34:57.3 | step: 20320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:35:06.2 | step: 20330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 0:35:15.1 | step: 20340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:35:23.5 | step: 20350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.013 | time: 0:35:32.5 | step: 20360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:35:41.4 | step: 20370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.036 | time: 0:35:50.3 | step: 20380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 0:35:59.2 | step: 20390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:36:07.7 | step: 20400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:36:16.6 | step: 20410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 0:36:25.4 | step: 20420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:36:34.3 | step: 20430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 0:36:43.2 | step: 20440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.003 | time: 0:36:51.7 | step: 20450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 0:37:00.6 | step: 20460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:37:09.5 | step: 20470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 0:37:18.4 | step: 20480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:37:27.3 | step: 20490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:37:35.7 | step: 20500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:37:44.7 | step: 20510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:37:53.5 | step: 20520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:38:02.4 | step: 20530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:38:10.9 | step: 20540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:38:19.8 | step: 20550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.033 | time: 0:38:28.7 | step: 20560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:38:37.6 | step: 20570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 0:38:46.5 | step: 20580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:38:55.0 | step: 20590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:39:03.9 | step: 20600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:39:12.8 | step: 20610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:39:21.7 | step: 20620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.036 | time: 0:39:30.6 | step: 20630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:39:39.1 | step: 20640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:39:48.0 | step: 20650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 0:39:56.9 | step: 20660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:40:05.8 | step: 20670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:40:14.3 | step: 20680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:40:23.2 | step: 20690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 0:40:32.0 | step: 20700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.030 | time: 0:40:41.0 | step: 20710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:40:49.9 | step: 20720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 0:40:58.3 | step: 20730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.047 | time: 0:41:07.2 | step: 20740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:41:16.1 | step: 20750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:41:25.0 | step: 20760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:41:33.9 | step: 20770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:41:42.4 | step: 20780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:41:51.3 | step: 20790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 0:42:00.2 | step: 20800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:42:09.1 | step: 20810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.082 | time: 0:42:17.6 | step: 20820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 0:42:26.6 | step: 20830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:42:35.5 | step: 20840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:42:44.4 | step: 20850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:42:53.3 | step: 20860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 0:43:01.8 | step: 20870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:43:10.7 | step: 20880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 0:43:19.5 | step: 20890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 0:43:28.4 | step: 20900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 0:43:37.3 | step: 20910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:43:45.8 | step: 20920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:43:54.7 | step: 20930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:44:03.7 | step: 20940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:44:12.6 | step: 20950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:44:21.5 | step: 20960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:44:29.9 | step: 20970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:44:38.8 | step: 20980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:44:47.6 | step: 20990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:44:56.4 | step: 21000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.032 | time: 0:45:04.8 | step: 21010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:45:13.7 | step: 21020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:45:22.6 | step: 21030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 0:45:31.4 | step: 21040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:45:40.2 | step: 21050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.027 | time: 0:45:48.7 | step: 21060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:45:57.5 | step: 21070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:46:06.4 | step: 21080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:46:15.3 | step: 21090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:46:24.2 | step: 21100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:46:32.6 | step: 21110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.027 | time: 0:46:41.5 | step: 21120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 0:46:50.4 | step: 21130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:46:59.3 | step: 21140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:47:07.8 | step: 21150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:47:16.7 | step: 21160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 0:47:25.6 | step: 21170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:47:34.5 | step: 21180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 0:47:43.4 | step: 21190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:47:51.9 | step: 21200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:48:00.8 | step: 21210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:48:09.8 | step: 21220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.033 | time: 0:48:18.7 | step: 21230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 0:48:27.6 | step: 21240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:48:36.1 | step: 21250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:48:45.0 | step: 21260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.046 | time: 0:48:53.9 | step: 21270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:49:02.8 | step: 21280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:49:11.2 | step: 21290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 0:49:20.2 | step: 21300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:49:29.1 | step: 21310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:49:38.0 | step: 21320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:49:46.9 | step: 21330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:49:55.3 | step: 21340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:50:04.2 | step: 21350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:50:13.1 | step: 21360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 0:50:22.0 | step: 21370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 0:50:30.9 | step: 21380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:50:39.4 | step: 21390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:50:48.3 | step: 21400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 0:50:57.2 | step: 21410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.039 | time: 0:51:06.1 | step: 21420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:51:15.0 | step: 21430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:51:23.4 | step: 21440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.040 | time: 0:51:32.3 | step: 21450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 0:51:41.2 | step: 21460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 0:51:50.2 | step: 21470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:51:58.6 | step: 21480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 0:52:07.6 | step: 21490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 0:52:16.5 | step: 21500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 0:52:25.4 | step: 21510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 0:52:34.3 | step: 21520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:52:42.8 | step: 21530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:52:51.7 | step: 21540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 0:53:00.6 | step: 21550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 0:53:09.4 | step: 21560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.033 | time: 0:53:18.3 | step: 21570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:53:26.8 | step: 21580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:53:35.7 | step: 21590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:53:44.5 | step: 21600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:53:53.4 | step: 21610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:54:01.9 | step: 21620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 0:54:10.8 | step: 21630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:54:19.7 | step: 21640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:54:28.5 | step: 21650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:54:37.4 | step: 21660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.042 | time: 0:54:45.8 | step: 21670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:54:54.7 | step: 21680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:55:03.6 | step: 21690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 0:55:12.4 | step: 21700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:55:21.3 | step: 21710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 0:55:29.7 | step: 21720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:55:38.6 | step: 21730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:55:47.5 | step: 21740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:55:56.3 | step: 21750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:56:04.8 | step: 21760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.018 | time: 0:56:13.7 | step: 21770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:56:22.5 | step: 21780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:56:31.4 | step: 21790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:56:40.3 | step: 21800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 0:56:48.7 | step: 21810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:56:57.5 | step: 21820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:57:06.4 | step: 21830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 0:57:15.3 | step: 21840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:57:24.1 | step: 21850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 0:57:32.5 | step: 21860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:57:41.4 | step: 21870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 0:57:50.2 | step: 21880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 0:57:59.1 | step: 21890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:58:07.9 | step: 21900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 0:58:16.4 | step: 21910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:58:25.2 | step: 21920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 0:58:34.1 | step: 21930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 0:58:42.9 | step: 21940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:58:51.4 | step: 21950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:59:00.3 | step: 21960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 0:59:09.2 | step: 21970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.047 | time: 0:59:18.1 | step: 21980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:59:26.9 | step: 21990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:59:35.4 | step: 22000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.53 | lr: 0.0002 | loss: 0.010 | time: 0:59:54.4 | step: 22010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 1:00:03.3 | step: 22020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 1:00:12.5 | step: 22030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 1:00:21.8 | step: 22040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.004 | time: 1:00:30.3 | step: 22050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:00:39.3 | step: 22060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 1:00:48.1 | step: 22070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:00:56.8 | step: 22080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 1:01:05.2 | step: 22090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 1:01:14.0 | step: 22100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:01:22.8 | step: 22110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:01:31.7 | step: 22120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:01:40.7 | step: 22130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:01:49.2 | step: 22140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:01:58.1 | step: 22150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:02:07.0 | step: 22160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 1:02:15.9 | step: 22170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:02:24.7 | step: 22180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 1:02:33.1 | step: 22190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.054 | time: 1:02:41.9 | step: 22200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.039 | time: 1:02:50.8 | step: 22210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.042 | time: 1:02:59.6 | step: 22220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:03:08.1 | step: 22230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 1:03:17.0 | step: 22240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:03:25.9 | step: 22250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.040 | time: 1:03:34.8 | step: 22260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:03:43.7 | step: 22270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:03:52.1 | step: 22280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:04:01.0 | step: 22290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:04:09.9 | step: 22300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 1:04:18.8 | step: 22310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 1:04:27.7 | step: 22320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:04:36.2 | step: 22330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:04:45.1 | step: 22340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 1:04:54.0 | step: 22350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.050 | time: 1:05:02.9 | step: 22360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:05:11.8 | step: 22370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:05:20.3 | step: 22380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.106 | time: 1:05:29.2 | step: 22390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.120 | time: 1:05:38.1 | step: 22400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.087 | time: 1:05:47.0 | step: 22410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.139 | time: 1:05:55.5 | step: 22420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.107 | time: 1:06:04.4 | step: 22430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.084 | time: 1:06:13.3 | step: 22440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.041 | time: 1:06:22.2 | step: 22450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.088 | time: 1:06:31.1 | step: 22460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.047 | time: 1:06:39.6 | step: 22470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.053 | time: 1:06:48.5 | step: 22480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.042 | time: 1:06:57.4 | step: 22490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.095 | time: 1:07:06.3 | step: 22500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:07:15.2 | step: 22510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 1:07:23.7 | step: 22520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 1:07:32.6 | step: 22530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 1:07:41.5 | step: 22540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 1:07:50.4 | step: 22550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:07:58.8 | step: 22560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:08:07.7 | step: 22570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.034 | time: 1:08:16.6 | step: 22580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:08:25.5 | step: 22590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:08:34.4 | step: 22600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:08:42.9 | step: 22610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:08:51.8 | step: 22620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:09:00.7 | step: 22630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:09:09.6 | step: 22640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 1:09:18.5 | step: 22650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:09:26.9 | step: 22660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 1:09:35.8 | step: 22670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:09:44.7 | step: 22680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 1:09:53.6 | step: 22690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:10:02.1 | step: 22700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 1:10:11.1 | step: 22710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:10:20.0 | step: 22720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:10:28.9 | step: 22730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:10:37.8 | step: 22740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:10:46.3 | step: 22750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:10:55.2 | step: 22760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 1:11:04.1 | step: 22770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:11:12.9 | step: 22780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:11:21.8 | step: 22790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:11:30.3 | step: 22800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 1:11:39.2 | step: 22810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:11:48.1 | step: 22820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:11:57.0 | step: 22830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:12:05.8 | step: 22840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:12:14.3 | step: 22850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:12:23.2 | step: 22860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:12:32.1 | step: 22870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:12:41.0 | step: 22880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 1:12:49.4 | step: 22890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:12:58.3 | step: 22900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:13:07.2 | step: 22910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 1:13:16.1 | step: 22920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:13:25.0 | step: 22930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:13:33.5 | step: 22940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 1:13:42.4 | step: 22950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:13:51.2 | step: 22960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 1:14:00.1 | step: 22970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 1:14:09.0 | step: 22980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 1:14:17.5 | step: 22990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:14:26.4 | step: 23000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:14:35.3 | step: 23010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:14:44.2 | step: 23020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:14:52.7 | step: 23030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 1:15:01.6 | step: 23040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 1:15:10.5 | step: 23050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:15:19.4 | step: 23060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.005 | time: 1:15:28.2 | step: 23070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:15:36.7 | step: 23080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:15:45.6 | step: 23090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 1:15:54.5 | step: 23100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:16:03.4 | step: 23110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:16:12.3 | step: 23120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:16:20.7 | step: 23130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.005 | time: 1:16:29.6 | step: 23140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:16:38.5 | step: 23150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 1:16:47.4 | step: 23160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:16:55.9 | step: 23170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 1:17:04.8 | step: 23180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:17:13.7 | step: 23190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.042 | time: 1:17:22.6 | step: 23200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:17:31.5 | step: 23210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:17:40.0 | step: 23220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 1:17:48.9 | step: 23230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 1:17:57.8 | step: 23240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:18:06.7 | step: 23250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:18:15.5 | step: 23260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:18:24.0 | step: 23270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:18:32.9 | step: 23280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.027 | time: 1:18:41.8 | step: 23290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:18:50.6 | step: 23300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 1:18:59.5 | step: 23310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 1:19:08.0 | step: 23320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:19:16.9 | step: 23330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:19:25.7 | step: 23340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:19:34.6 | step: 23350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 1:19:43.1 | step: 23360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:19:52.0 | step: 23370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.004 | time: 1:20:00.8 | step: 23380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:20:09.7 | step: 23390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:20:18.6 | step: 23400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:20:27.0 | step: 23410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 1:20:35.9 | step: 23420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:20:44.8 | step: 23430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 1:20:53.7 | step: 23440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 1:21:02.5 | step: 23450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 1:21:11.0 | step: 23460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 1:21:19.8 | step: 23470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 1:21:28.7 | step: 23480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 1:21:37.6 | step: 23490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.039 | time: 1:21:46.0 | step: 23500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 1:21:54.9 | step: 23510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.035 | time: 1:22:03.7 | step: 23520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.048 | time: 1:22:12.6 | step: 23530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:22:21.5 | step: 23540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 1:22:29.9 | step: 23550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:22:38.7 | step: 23560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.042 | time: 1:22:47.6 | step: 23570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:22:56.5 | step: 23580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 1:23:05.3 | step: 23590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 1:23:13.7 | step: 23600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 1:23:22.6 | step: 23610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:23:31.5 | step: 23620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 1:23:40.3 | step: 23630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:23:48.8 | step: 23640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.027 | time: 1:23:57.7 | step: 23650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:24:06.6 | step: 23660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:24:15.5 | step: 23670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:24:24.3 | step: 23680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 1:24:32.8 | step: 23690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.024 | time: 1:24:41.6 | step: 23700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:24:50.5 | step: 23710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 1:24:59.4 | step: 23720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 1:25:08.3 | step: 23730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:25:16.7 | step: 23740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 1:25:25.6 | step: 23750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 1:25:34.5 | step: 23760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:25:43.4 | step: 23770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.013 | time: 1:25:52.3 | step: 23780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 1:26:00.7 | step: 23790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.004 | time: 1:26:09.6 | step: 23800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:26:18.5 | step: 23810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 1:26:27.4 | step: 23820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:26:35.8 | step: 23830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 1:26:44.7 | step: 23840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.005 | time: 1:26:53.6 | step: 23850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 1:27:02.5 | step: 23860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.029 | time: 1:27:11.4 | step: 23870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:27:19.9 | step: 23880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:27:28.7 | step: 23890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:27:37.6 | step: 23900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:27:46.5 | step: 23910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:27:55.4 | step: 23920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:28:03.9 | step: 23930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 1:28:12.7 | step: 23940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 1:28:21.5 | step: 23950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 1:28:30.4 | step: 23960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.040 | time: 1:28:38.8 | step: 23970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 1:28:47.7 | step: 23980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.042 | time: 1:28:56.6 | step: 23990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 1:29:05.5 | step: 24000 epoch: 127 | 40/ 47 | logs/44k/diffusion | batch/s: 0.52 | lr: 0.0002 | loss: 0.019 | time: 1:29:24.6 | step: 24010 epoch: 128 | 3/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.029 | time: 1:29:33.2 | step: 24020 epoch: 128 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:29:42.4 | step: 24030 epoch: 128 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 1:29:51.5 | step: 24040 epoch: 128 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.008 | time: 1:30:00.5 | step: 24050 epoch: 128 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 1:30:09.4 | step: 24060 epoch: 129 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 1:30:17.8 | step: 24070 epoch: 129 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:30:26.6 | step: 24080 epoch: 129 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:30:35.3 | step: 24090 epoch: 129 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:30:44.1 | step: 24100 epoch: 129 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:30:52.6 | step: 24110 epoch: 130 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 1:31:01.5 | step: 24120 epoch: 130 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 1:31:10.5 | step: 24130 epoch: 130 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 1:31:19.4 | step: 24140 epoch: 130 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:31:28.3 | step: 24150 epoch: 131 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:31:36.8 | step: 24160 epoch: 131 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 1:31:45.7 | step: 24170 epoch: 131 | 22/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.041 | time: 1:31:54.5 | step: 24180 epoch: 131 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:32:03.3 | step: 24190 epoch: 131 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:32:12.2 | step: 24200 epoch: 132 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:32:20.6 | step: 24210 epoch: 132 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:32:29.5 | step: 24220 epoch: 132 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:32:38.4 | step: 24230 epoch: 132 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 1:32:47.4 | step: 24240 epoch: 132 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:32:56.3 | step: 24250 epoch: 133 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:33:04.8 | step: 24260 epoch: 133 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:33:13.7 | step: 24270 epoch: 133 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:33:22.5 | step: 24280 epoch: 133 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.003 | time: 1:33:31.4 | step: 24290 epoch: 134 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 1:33:39.8 | step: 24300 epoch: 134 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:33:48.7 | step: 24310 epoch: 134 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 1:33:57.5 | step: 24320 epoch: 134 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:34:06.3 | step: 24330 epoch: 134 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:34:15.2 | step: 24340 epoch: 135 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:34:23.6 | step: 24350 epoch: 135 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 1:34:32.5 | step: 24360 epoch: 135 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:34:41.3 | step: 24370 epoch: 135 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:34:50.2 | step: 24380 epoch: 135 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.037 | time: 1:34:59.1 | step: 24390 epoch: 136 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 1:35:07.5 | step: 24400 epoch: 136 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 1:35:16.4 | step: 24410 epoch: 136 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:35:25.2 | step: 24420 epoch: 136 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:35:34.1 | step: 24430 epoch: 137 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 1:35:42.5 | step: 24440 epoch: 137 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:35:51.4 | step: 24450 epoch: 137 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 1:36:00.2 | step: 24460 epoch: 137 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:36:09.0 | step: 24470 epoch: 137 | 40/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 1:36:17.9 | step: 24480 epoch: 138 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:36:26.4 | step: 24490 epoch: 138 | 13/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:36:35.3 | step: 24500 epoch: 138 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:36:44.3 | step: 24510 epoch: 138 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 1:36:53.2 | step: 24520 epoch: 138 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:37:02.1 | step: 24530 epoch: 139 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 1:37:10.5 | step: 24540 epoch: 139 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:37:19.3 | step: 24550 epoch: 139 | 26/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:37:28.1 | step: 24560 epoch: 139 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.041 | time: 1:37:37.0 | step: 24570 epoch: 139 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:37:45.4 | step: 24580 epoch: 140 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 1:37:54.5 | step: 24590 epoch: 140 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:38:03.3 | step: 24600 epoch: 140 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 1:38:12.3 | step: 24610 epoch: 140 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:38:21.2 | step: 24620 epoch: 141 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:38:29.7 | step: 24630 epoch: 141 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:38:38.6 | step: 24640 epoch: 141 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 1:38:47.5 | step: 24650 epoch: 141 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:38:56.4 | step: 24660 epoch: 141 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:39:05.3 | step: 24670 epoch: 142 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:39:13.8 | step: 24680 epoch: 142 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 1:39:22.7 | step: 24690 epoch: 142 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:39:31.5 | step: 24700 epoch: 142 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 1:39:40.3 | step: 24710 epoch: 142 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 1:39:49.2 | step: 24720 epoch: 143 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 1:39:57.6 | step: 24730 epoch: 143 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 1:40:06.5 | step: 24740 epoch: 143 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.048 | time: 1:40:15.4 | step: 24750 epoch: 143 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 1:40:24.4 | step: 24760 epoch: 144 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:40:32.9 | step: 24770 epoch: 144 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 1:40:41.8 | step: 24780 epoch: 144 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:40:50.6 | step: 24790 epoch: 144 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 1:40:59.5 | step: 24800 epoch: 144 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 1:41:08.4 | step: 24810 epoch: 145 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 1:41:16.8 | step: 24820 epoch: 145 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.030 | time: 1:41:25.6 | step: 24830 epoch: 145 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:41:34.5 | step: 24840 epoch: 145 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 1:41:43.3 | step: 24850 epoch: 145 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 1:41:52.1 | step: 24860 epoch: 146 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 1:42:00.6 | step: 24870 epoch: 146 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:42:09.4 | step: 24880 epoch: 146 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:42:18.3 | step: 24890 epoch: 146 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:42:27.2 | step: 24900 epoch: 147 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.015 | time: 1:42:35.6 | step: 24910 epoch: 147 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:42:44.5 | step: 24920 epoch: 147 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:42:53.4 | step: 24930 epoch: 147 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 1:43:02.2 | step: 24940 epoch: 147 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:43:11.1 | step: 24950 epoch: 148 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.032 | time: 1:43:19.5 | step: 24960 epoch: 148 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:43:28.3 | step: 24970 epoch: 148 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:43:37.2 | step: 24980 epoch: 148 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:43:46.0 | step: 24990 epoch: 148 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 1:43:54.9 | step: 25000 epoch: 149 | 6/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 1:44:03.5 | step: 25010 epoch: 149 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 1:44:12.4 | step: 25020 epoch: 149 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.036 | time: 1:44:21.3 | step: 25030 epoch: 149 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:44:30.2 | step: 25040 epoch: 149 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:44:38.6 | step: 25050 epoch: 150 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.029 | time: 1:44:47.6 | step: 25060 epoch: 150 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.004 | time: 1:44:56.4 | step: 25070 epoch: 150 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 1:45:05.2 | step: 25080 epoch: 150 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 1:45:14.1 | step: 25090 epoch: 151 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:45:22.6 | step: 25100 epoch: 151 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 1:45:31.4 | step: 25110 epoch: 151 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:45:40.3 | step: 25120 epoch: 151 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:45:49.2 | step: 25130 epoch: 151 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:45:58.2 | step: 25140 epoch: 152 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:46:06.6 | step: 25150 epoch: 152 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.039 | time: 1:46:15.6 | step: 25160 epoch: 152 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:46:24.5 | step: 25170 epoch: 152 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:46:33.4 | step: 25180 epoch: 152 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 1:46:42.3 | step: 25190 epoch: 153 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:46:50.8 | step: 25200 epoch: 153 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 1:46:59.7 | step: 25210 epoch: 153 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 1:47:08.6 | step: 25220 epoch: 153 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:47:17.5 | step: 25230 epoch: 154 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:47:25.9 | step: 25240 epoch: 154 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:47:34.8 | step: 25250 epoch: 154 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.015 | time: 1:47:43.7 | step: 25260 epoch: 154 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:47:52.6 | step: 25270 epoch: 154 | 41/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 1:48:01.5 | step: 25280 epoch: 155 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:48:10.0 | step: 25290 epoch: 155 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:48:18.8 | step: 25300 epoch: 155 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.045 | time: 1:48:27.7 | step: 25310 epoch: 155 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:48:36.6 | step: 25320 epoch: 155 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:48:45.5 | step: 25330 epoch: 156 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:48:53.9 | step: 25340 epoch: 156 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:49:02.8 | step: 25350 epoch: 156 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:49:11.7 | step: 25360 epoch: 156 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 1:49:20.6 | step: 25370 epoch: 157 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:49:29.1 | step: 25380 epoch: 157 | 10/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:49:38.0 | step: 25390 epoch: 157 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 1:49:46.9 | step: 25400 epoch: 157 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:49:55.7 | step: 25410 epoch: 157 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:50:04.6 | step: 25420 epoch: 158 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:50:13.1 | step: 25430 epoch: 158 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 1:50:22.0 | step: 25440 epoch: 158 | 23/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:50:30.9 | step: 25450 epoch: 158 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 1:50:39.8 | step: 25460 epoch: 158 | 43/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.035 | time: 1:50:48.7 | step: 25470 epoch: 159 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:50:57.1 | step: 25480 epoch: 159 | 16/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 1:51:06.0 | step: 25490 epoch: 159 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:51:14.9 | step: 25500 epoch: 159 | 36/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.041 | time: 1:51:23.8 | step: 25510 epoch: 159 | 46/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.003 | time: 1:51:32.3 | step: 25520 epoch: 160 | 9/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.029 | time: 1:51:41.3 | step: 25530 epoch: 160 | 19/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.024 | time: 1:51:50.2 | step: 25540 epoch: 160 | 29/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:51:59.1 | step: 25550 epoch: 160 | 39/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.008 | time: 1:52:08.1 | step: 25560 epoch: 161 | 2/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:52:16.6 | step: 25570 epoch: 161 | 12/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 1:52:25.5 | step: 25580 epoch: 161 | 22/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:52:34.4 | step: 25590 epoch: 161 | 32/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 1:52:43.3 | step: 25600 epoch: 161 | 42/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.017 | time: 1:52:52.2 | step: 25610 epoch: 162 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:53:00.7 | step: 25620 epoch: 162 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.029 | time: 1:53:09.6 | step: 25630 epoch: 162 | 25/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.021 | time: 1:53:18.6 | step: 25640 epoch: 162 | 35/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.007 | time: 1:53:27.5 | step: 25650 epoch: 162 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.029 | time: 1:53:36.4 | step: 25660 epoch: 163 | 8/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:53:44.9 | step: 25670 epoch: 163 | 18/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:53:53.8 | step: 25680 epoch: 163 | 28/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 1:54:02.7 | step: 25690 epoch: 163 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 1:54:11.6 | step: 25700 epoch: 164 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 1:54:20.1 | step: 25710 epoch: 164 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:54:29.0 | step: 25720 epoch: 164 | 21/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:54:37.9 | step: 25730 epoch: 164 | 31/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 1:54:46.8 | step: 25740 epoch: 164 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:54:55.7 | step: 25750 epoch: 165 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:55:04.1 | step: 25760 epoch: 165 | 14/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:55:13.0 | step: 25770 epoch: 165 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 1:55:21.9 | step: 25780 epoch: 165 | 34/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.019 | time: 1:55:30.8 | step: 25790 epoch: 165 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.028 | time: 1:55:39.7 | step: 25800 epoch: 166 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:55:48.2 | step: 25810 epoch: 166 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 1:55:57.1 | step: 25820 epoch: 166 | 27/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.010 | time: 1:56:06.0 | step: 25830 epoch: 166 | 37/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.009 | time: 1:56:14.9 | step: 25840 epoch: 167 | 0/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 1:56:23.3 | step: 25850 epoch: 167 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 1:56:32.2 | step: 25860 epoch: 167 | 20/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 1:56:41.1 | step: 25870 epoch: 167 | 30/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 1:56:50.0 | step: 25880 epoch: 167 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 1:56:58.9 | step: 25890 epoch: 168 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:57:07.4 | step: 25900 epoch: 168 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 1:57:16.3 | step: 25910 epoch: 168 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 1:57:25.2 | step: 25920 epoch: 168 | 33/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.031 | time: 1:57:34.1 | step: 25930 epoch: 168 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:57:42.9 | step: 25940 epoch: 169 | 6/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:57:51.4 | step: 25950 epoch: 169 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:58:00.3 | step: 25960 epoch: 169 | 26/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.037 | time: 1:58:09.2 | step: 25970 epoch: 169 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.026 | time: 1:58:18.1 | step: 25980 epoch: 169 | 46/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:58:26.5 | step: 25990 epoch: 170 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 1:58:35.5 | step: 26000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.65 | lr: 0.0002 | loss: 0.032 | time: 0:00:16.0 | step: 26010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.058 | time: 0:00:24.2 | step: 26020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.030 | time: 0:00:32.5 | step: 26030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 0:00:40.8 | step: 26040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.011 | time: 0:00:48.9 | step: 26050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:00:57.4 | step: 26060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:01:06.0 | step: 26070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.021 | time: 0:01:14.7 | step: 26080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.024 | time: 0:01:23.4 | step: 26090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:01:31.8 | step: 26100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.011 | time: 0:01:40.8 | step: 26110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 0:01:49.8 | step: 26120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.047 | time: 0:01:58.6 | step: 26130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:02:07.3 | step: 26140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.020 | time: 0:02:15.6 | step: 26150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:02:24.4 | step: 26160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:02:33.1 | step: 26170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 0:02:41.8 | step: 26180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.015 | time: 0:02:50.1 | step: 26190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:02:58.9 | step: 26200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:03:07.7 | step: 26210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:03:16.6 | step: 26220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:03:25.3 | step: 26230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 0:03:33.7 | step: 26240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:03:42.5 | step: 26250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:03:51.3 | step: 26260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:04:00.0 | step: 26270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:04:08.8 | step: 26280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.005 | time: 0:04:17.2 | step: 26290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:04:26.0 | step: 26300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:04:34.7 | step: 26310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:04:43.5 | step: 26320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.019 | time: 0:04:51.9 | step: 26330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:05:00.6 | step: 26340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:05:09.4 | step: 26350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:05:18.2 | step: 26360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:05:27.0 | step: 26370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 0:05:35.3 | step: 26380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:05:44.1 | step: 26390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:05:52.9 | step: 26400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:06:01.6 | step: 26410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:06:10.4 | step: 26420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 0:06:18.8 | step: 26430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:06:27.5 | step: 26440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:06:36.3 | step: 26450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.049 | time: 0:06:45.1 | step: 26460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:06:53.5 | step: 26470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:07:02.3 | step: 26480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:07:11.1 | step: 26490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:07:19.9 | step: 26500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:07:28.7 | step: 26510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:07:37.0 | step: 26520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:07:45.8 | step: 26530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:07:54.6 | step: 26540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:08:03.4 | step: 26550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:08:12.1 | step: 26560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 0:08:20.5 | step: 26570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:08:29.2 | step: 26580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:08:38.0 | step: 26590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:08:46.8 | step: 26600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:08:55.6 | step: 26610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.045 | time: 0:09:03.9 | step: 26620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:09:12.7 | step: 26630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:09:21.5 | step: 26640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:09:30.3 | step: 26650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.040 | time: 0:09:38.6 | step: 26660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 0:09:47.4 | step: 26670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:09:56.2 | step: 26680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:10:05.0 | step: 26690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:10:13.7 | step: 26700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:10:22.1 | step: 26710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:10:30.9 | step: 26720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:10:39.7 | step: 26730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:10:48.5 | step: 26740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:10:57.3 | step: 26750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.022 | time: 0:11:05.6 | step: 26760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:11:14.4 | step: 26770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:11:23.2 | step: 26780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 0:11:32.0 | step: 26790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 0:11:40.4 | step: 26800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:11:49.2 | step: 26810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:11:57.9 | step: 26820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:12:06.7 | step: 26830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:12:15.5 | step: 26840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.041 | time: 0:12:23.9 | step: 26850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:12:32.7 | step: 26860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:12:41.5 | step: 26870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.048 | time: 0:12:50.2 | step: 26880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:12:59.0 | step: 26890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.043 | time: 0:13:07.4 | step: 26900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:13:16.1 | step: 26910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:13:24.9 | step: 26920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:13:33.7 | step: 26930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:13:42.1 | step: 26940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 0:13:51.0 | step: 26950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:13:59.7 | step: 26960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:14:08.5 | step: 26970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:14:17.3 | step: 26980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.010 | time: 0:14:25.7 | step: 26990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:14:34.5 | step: 27000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 0:14:43.3 | step: 27010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:14:52.1 | step: 27020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:15:00.9 | step: 27030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.030 | time: 0:15:09.2 | step: 27040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:15:18.0 | step: 27050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:15:26.8 | step: 27060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:15:35.6 | step: 27070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:15:44.4 | step: 27080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 0:15:52.8 | step: 27090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:16:01.6 | step: 27100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:16:10.4 | step: 27110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:16:19.2 | step: 27120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.028 | time: 0:16:27.6 | step: 27130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:16:36.3 | step: 27140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:16:45.1 | step: 27150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:16:53.9 | step: 27160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:17:02.7 | step: 27170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.032 | time: 0:17:11.0 | step: 27180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:17:19.8 | step: 27190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:17:28.6 | step: 27200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:17:37.4 | step: 27210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:17:46.2 | step: 27220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 0:17:54.5 | step: 27230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:18:03.3 | step: 27240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:18:12.1 | step: 27250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:18:20.9 | step: 27260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 0:18:29.2 | step: 27270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:18:38.0 | step: 27280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:18:46.8 | step: 27290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:18:55.6 | step: 27300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:19:04.4 | step: 27310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.029 | time: 0:19:12.8 | step: 27320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 0:19:21.5 | step: 27330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:19:30.3 | step: 27340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:19:39.1 | step: 27350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:19:47.9 | step: 27360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:19:56.3 | step: 27370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:20:05.1 | step: 27380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:20:13.9 | step: 27390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:20:22.7 | step: 27400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 0:20:31.1 | step: 27410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.015 | time: 0:20:40.0 | step: 27420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:20:48.8 | step: 27430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:20:57.6 | step: 27440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:21:06.4 | step: 27450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:21:14.8 | step: 27460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:21:23.5 | step: 27470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:21:32.3 | step: 27480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.057 | time: 0:21:41.1 | step: 27490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:21:49.9 | step: 27500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.034 | time: 0:21:58.2 | step: 27510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:22:07.0 | step: 27520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:22:15.8 | step: 27530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:22:24.6 | step: 27540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:22:33.3 | step: 27550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.031 | time: 0:22:41.7 | step: 27560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:22:50.5 | step: 27570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:22:59.2 | step: 27580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:23:08.0 | step: 27590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.023 | time: 0:23:16.4 | step: 27600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:23:25.2 | step: 27610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:23:34.0 | step: 27620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:23:42.7 | step: 27630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:23:51.5 | step: 27640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.031 | time: 0:23:59.9 | step: 27650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:24:08.6 | step: 27660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 0:24:17.4 | step: 27670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:24:26.2 | step: 27680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:24:35.0 | step: 27690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 0:24:43.3 | step: 27700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:24:52.1 | step: 27710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.050 | time: 0:25:00.9 | step: 27720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:25:09.7 | step: 27730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 0:25:18.0 | step: 27740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:25:26.8 | step: 27750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:25:35.6 | step: 27760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:25:44.4 | step: 27770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:25:53.2 | step: 27780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.010 | time: 0:26:01.6 | step: 27790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:26:10.4 | step: 27800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:26:19.2 | step: 27810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:26:28.0 | step: 27820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:26:36.8 | step: 27830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.031 | time: 0:26:45.2 | step: 27840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:26:54.0 | step: 27850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:27:02.8 | step: 27860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:27:11.6 | step: 27870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 0:27:20.0 | step: 27880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 0:27:28.8 | step: 27890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:27:37.7 | step: 27900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:27:46.4 | step: 27910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:27:55.2 | step: 27920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.008 | time: 0:28:03.6 | step: 27930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:28:12.4 | step: 27940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:28:21.2 | step: 27950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:28:29.9 | step: 27960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:28:38.7 | step: 27970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:28:47.1 | step: 27980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:28:55.9 | step: 27990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:29:04.7 | step: 28000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.09 | lr: 0.0002 | loss: 0.025 | time: 0:30:52.8 | step: 28010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:31:01.9 | step: 28020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:31:10.6 | step: 28030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.009 | time: 0:31:19.6 | step: 28040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:31:28.5 | step: 28050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:31:37.2 | step: 28060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.023 | time: 0:31:45.5 | step: 28070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 0:31:54.2 | step: 28080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.042 | time: 0:32:02.9 | step: 28090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.020 | time: 0:32:11.6 | step: 28100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:32:20.4 | step: 28110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 0:32:28.8 | step: 28120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:32:37.7 | step: 28130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:32:46.6 | step: 28140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:32:55.4 | step: 28150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:33:04.2 | step: 28160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:33:12.6 | step: 28170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:33:21.3 | step: 28180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:33:30.1 | step: 28190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:33:38.9 | step: 28200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 0:33:47.2 | step: 28210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:33:56.0 | step: 28220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:34:04.8 | step: 28230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.046 | time: 0:34:13.6 | step: 28240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:34:22.4 | step: 28250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.028 | time: 0:34:30.8 | step: 28260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:34:39.6 | step: 28270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:34:48.4 | step: 28280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:34:57.2 | step: 28290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:35:05.9 | step: 28300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:35:14.3 | step: 28310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:35:23.1 | step: 28320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:35:31.8 | step: 28330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:35:40.6 | step: 28340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 0:35:49.0 | step: 28350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.021 | time: 0:35:57.9 | step: 28360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:36:06.6 | step: 28370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:36:15.4 | step: 28380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:36:24.2 | step: 28390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 0:36:32.6 | step: 28400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:36:41.3 | step: 28410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:36:50.1 | step: 28420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 0:36:58.9 | step: 28430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:37:07.7 | step: 28440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:37:16.1 | step: 28450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:37:24.9 | step: 28460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:37:33.7 | step: 28470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:37:42.4 | step: 28480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:37:51.2 | step: 28490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 0:37:59.6 | step: 28500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:38:08.4 | step: 28510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:38:17.1 | step: 28520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:38:25.9 | step: 28530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.036 | time: 0:38:34.3 | step: 28540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:38:43.1 | step: 28550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:38:51.9 | step: 28560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:39:00.6 | step: 28570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:39:09.4 | step: 28580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.008 | time: 0:39:17.8 | step: 28590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:39:26.6 | step: 28600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:39:35.3 | step: 28610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:39:44.1 | step: 28620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:39:52.9 | step: 28630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 0:40:01.3 | step: 28640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:40:10.0 | step: 28650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:40:18.8 | step: 28660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:40:27.6 | step: 28670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.019 | time: 0:40:36.0 | step: 28680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:40:44.8 | step: 28690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:40:53.5 | step: 28700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:41:02.3 | step: 28710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:41:11.1 | step: 28720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:41:19.5 | step: 28730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:41:28.2 | step: 28740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:41:37.0 | step: 28750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:41:45.8 | step: 28760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:41:54.6 | step: 28770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.035 | time: 0:42:03.0 | step: 28780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:42:11.7 | step: 28790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:42:20.5 | step: 28800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:42:29.3 | step: 28810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:42:37.7 | step: 28820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:42:46.5 | step: 28830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:42:55.3 | step: 28840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:43:04.1 | step: 28850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:43:12.9 | step: 28860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:43:21.3 | step: 28870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:43:30.0 | step: 28880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:43:38.8 | step: 28890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.043 | time: 0:43:47.6 | step: 28900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:43:56.4 | step: 28910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.008 | time: 0:44:04.7 | step: 28920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:44:13.5 | step: 28930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:44:22.3 | step: 28940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:44:31.1 | step: 28950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:44:39.9 | step: 28960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 0:44:48.2 | step: 28970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:44:57.0 | step: 28980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:45:05.8 | step: 28990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:45:14.6 | step: 29000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:45:22.9 | step: 29010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:45:31.7 | step: 29020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.034 | time: 0:45:40.5 | step: 29030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:45:49.3 | step: 29040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:45:58.0 | step: 29050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.020 | time: 0:46:06.4 | step: 29060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:46:15.2 | step: 29070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:46:24.0 | step: 29080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:46:32.8 | step: 29090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:46:41.5 | step: 29100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 0:46:49.9 | step: 29110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:46:58.7 | step: 29120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:47:07.5 | step: 29130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:47:16.2 | step: 29140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 0:47:24.6 | step: 29150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:47:33.4 | step: 29160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:47:42.1 | step: 29170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:47:50.9 | step: 29180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:47:59.7 | step: 29190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:48:08.1 | step: 29200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 0:48:16.8 | step: 29210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:48:25.6 | step: 29220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:48:34.4 | step: 29230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:48:43.2 | step: 29240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:48:51.5 | step: 29250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:49:00.3 | step: 29260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:49:09.1 | step: 29270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:49:17.9 | step: 29280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 0:49:26.3 | step: 29290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:49:35.1 | step: 29300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:49:43.9 | step: 29310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:49:52.7 | step: 29320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:50:01.5 | step: 29330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:50:09.8 | step: 29340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:50:18.6 | step: 29350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:50:27.4 | step: 29360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:50:36.2 | step: 29370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:50:44.9 | step: 29380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:50:53.3 | step: 29390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:51:02.1 | step: 29400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:51:10.8 | step: 29410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:51:19.6 | step: 29420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:51:28.4 | step: 29430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:51:36.8 | step: 29440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:51:45.6 | step: 29450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:51:54.3 | step: 29460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:52:03.1 | step: 29470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.015 | time: 0:52:11.5 | step: 29480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:52:20.2 | step: 29490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:52:29.0 | step: 29500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:52:37.8 | step: 29510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:52:46.6 | step: 29520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.041 | time: 0:52:54.9 | step: 29530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:53:03.7 | step: 29540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:53:12.5 | step: 29550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:53:21.3 | step: 29560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:53:30.1 | step: 29570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:53:38.4 | step: 29580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:53:47.2 | step: 29590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:53:56.0 | step: 29600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:54:04.7 | step: 29610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.022 | time: 0:54:13.1 | step: 29620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:54:21.9 | step: 29630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:54:30.6 | step: 29640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:54:39.4 | step: 29650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.046 | time: 0:54:48.2 | step: 29660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 0:54:56.5 | step: 29670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 0:55:05.3 | step: 29680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:55:14.1 | step: 29690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:55:22.9 | step: 29700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:55:31.6 | step: 29710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:55:40.0 | step: 29720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:55:48.8 | step: 29730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:55:57.6 | step: 29740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:56:06.4 | step: 29750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 0:56:14.7 | step: 29760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.029 | time: 0:56:23.7 | step: 29770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:56:32.4 | step: 29780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:56:41.2 | step: 29790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:56:50.0 | step: 29800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.027 | time: 0:56:58.3 | step: 29810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:57:07.1 | step: 29820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:57:15.9 | step: 29830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:57:24.7 | step: 29840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:57:33.5 | step: 29850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.022 | time: 0:57:41.8 | step: 29860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:57:50.6 | step: 29870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:57:59.4 | step: 29880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:58:08.2 | step: 29890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:58:17.0 | step: 29900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.025 | time: 0:58:25.3 | step: 29910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:58:34.1 | step: 29920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:58:42.8 | step: 29930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 0:58:51.6 | step: 29940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.050 | time: 0:59:00.0 | step: 29950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:59:08.8 | step: 29960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:59:17.6 | step: 29970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:59:26.3 | step: 29980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:59:35.1 | step: 29990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.019 | time: 0:59:43.5 | step: 30000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.11 | lr: 0.0002 | loss: 0.009 | time: 1:01:15.2 | step: 30010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.020 | time: 1:01:24.1 | step: 30020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.042 | time: 1:01:33.3 | step: 30030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.027 | time: 1:01:42.4 | step: 30040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:01:50.8 | step: 30050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:01:59.5 | step: 30060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.017 | time: 1:02:08.2 | step: 30070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 1:02:16.9 | step: 30080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.024 | time: 1:02:25.2 | step: 30090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 1:02:33.9 | step: 30100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:02:42.7 | step: 30110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:02:51.6 | step: 30120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:03:00.4 | step: 30130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 1:03:08.8 | step: 30140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 1:03:17.7 | step: 30150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.009 | time: 1:03:26.5 | step: 30160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:03:35.2 | step: 30170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:03:44.0 | step: 30180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 1:03:52.4 | step: 30190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:04:01.1 | step: 30200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:04:09.9 | step: 30210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:04:18.7 | step: 30220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 1:04:27.1 | step: 30230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 1:04:35.9 | step: 30240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 1:04:44.7 | step: 30250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:04:53.5 | step: 30260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:05:02.3 | step: 30270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 1:05:10.7 | step: 30280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:05:19.4 | step: 30290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:05:28.2 | step: 30300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:05:37.0 | step: 30310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:05:45.8 | step: 30320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 1:05:54.1 | step: 30330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:06:02.9 | step: 30340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:06:11.7 | step: 30350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:06:20.5 | step: 30360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:06:29.2 | step: 30370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.031 | time: 1:06:37.6 | step: 30380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:06:46.4 | step: 30390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 1:06:55.1 | step: 30400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:07:03.9 | step: 30410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.037 | time: 1:07:12.3 | step: 30420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:07:21.1 | step: 30430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:07:29.8 | step: 30440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:07:38.6 | step: 30450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:07:47.4 | step: 30460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 1:07:55.8 | step: 30470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:08:04.5 | step: 30480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:08:13.3 | step: 30490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 1:08:22.1 | step: 30500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:08:30.9 | step: 30510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 1:08:39.2 | step: 30520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:08:48.0 | step: 30530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:08:56.8 | step: 30540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:09:05.6 | step: 30550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 1:09:13.9 | step: 30560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:09:22.7 | step: 30570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:09:31.5 | step: 30580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:09:40.3 | step: 30590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:09:49.1 | step: 30600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.027 | time: 1:09:57.5 | step: 30610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:10:06.2 | step: 30620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:10:15.1 | step: 30630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:10:23.8 | step: 30640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:10:32.6 | step: 30650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 1:10:41.0 | step: 30660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:10:49.8 | step: 30670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:10:58.6 | step: 30680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 1:11:07.4 | step: 30690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 1:11:15.7 | step: 30700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.033 | time: 1:11:24.6 | step: 30710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:11:33.4 | step: 30720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:11:42.2 | step: 30730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:11:51.0 | step: 30740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.031 | time: 1:11:59.3 | step: 30750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:12:08.1 | step: 30760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:12:16.9 | step: 30770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:12:25.7 | step: 30780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:12:34.5 | step: 30790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 1:12:42.9 | step: 30800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 1:12:51.7 | step: 30810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:13:00.5 | step: 30820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 1:13:09.3 | step: 30830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:13:18.1 | step: 30840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.029 | time: 1:13:26.4 | step: 30850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:13:35.2 | step: 30860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:13:44.0 | step: 30870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.010 | time: 1:13:52.8 | step: 30880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.029 | time: 1:14:01.2 | step: 30890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 1:14:10.0 | step: 30900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:14:18.8 | step: 30910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 1:14:27.6 | step: 30920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:14:36.4 | step: 30930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 1:14:44.8 | step: 30940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:14:53.6 | step: 30950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 1:15:02.4 | step: 30960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 1:15:11.1 | step: 30970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 1:15:20.0 | step: 30980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.025 | time: 1:15:28.3 | step: 30990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:15:37.1 | step: 31000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:15:45.9 | step: 31010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:15:54.7 | step: 31020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.034 | time: 1:16:03.1 | step: 31030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:16:11.8 | step: 31040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:16:20.6 | step: 31050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 1:16:29.4 | step: 31060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:16:38.2 | step: 31070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 1:16:46.6 | step: 31080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:16:55.4 | step: 31090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:17:04.2 | step: 31100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 1:17:13.0 | step: 31110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:17:21.8 | step: 31120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.015 | time: 1:17:30.2 | step: 31130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 1:17:38.9 | step: 31140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:17:47.7 | step: 31150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:17:56.5 | step: 31160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.074 | time: 1:18:04.9 | step: 31170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.049 | time: 1:18:13.8 | step: 31180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:18:22.6 | step: 31190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:18:31.4 | step: 31200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:18:40.2 | step: 31210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 1:18:48.5 | step: 31220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:18:57.3 | step: 31230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 1:19:06.1 | step: 31240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:19:14.9 | step: 31250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:19:23.7 | step: 31260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 1:19:32.1 | step: 31270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:19:40.9 | step: 31280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 1:19:49.7 | step: 31290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:19:58.5 | step: 31300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:20:07.3 | step: 31310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.010 | time: 1:20:15.6 | step: 31320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 1:20:24.5 | step: 31330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:20:33.2 | step: 31340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 1:20:42.0 | step: 31350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 1:20:50.4 | step: 31360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:20:59.2 | step: 31370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:21:08.0 | step: 31380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 1:21:16.8 | step: 31390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:21:25.6 | step: 31400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 1:21:34.0 | step: 31410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:21:42.8 | step: 31420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:21:51.6 | step: 31430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:22:00.4 | step: 31440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:22:09.2 | step: 31450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.004 | time: 1:22:17.5 | step: 31460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:22:26.3 | step: 31470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:22:35.1 | step: 31480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:22:43.9 | step: 31490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 1:22:52.3 | step: 31500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:23:01.1 | step: 31510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:23:09.9 | step: 31520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:23:18.7 | step: 31530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:23:27.5 | step: 31540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 1:23:35.9 | step: 31550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:23:44.7 | step: 31560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:23:53.5 | step: 31570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:24:02.3 | step: 31580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:24:11.1 | step: 31590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 1:24:19.5 | step: 31600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:24:28.3 | step: 31610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:24:37.0 | step: 31620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 1:24:45.8 | step: 31630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 1:24:54.2 | step: 31640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.025 | time: 1:25:03.1 | step: 31650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 1:25:11.9 | step: 31660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:25:20.7 | step: 31670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:25:29.4 | step: 31680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.041 | time: 1:25:37.8 | step: 31690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:25:46.6 | step: 31700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:25:55.4 | step: 31710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:26:04.1 | step: 31720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:26:12.9 | step: 31730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.052 | time: 1:26:21.3 | step: 31740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:26:30.1 | step: 31750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:26:38.9 | step: 31760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:26:47.6 | step: 31770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 1:26:56.4 | step: 31780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:27:04.8 | step: 31790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:27:13.6 | step: 31800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:27:22.4 | step: 31810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:27:31.1 | step: 31820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 1:27:39.5 | step: 31830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:27:48.3 | step: 31840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 1:27:57.0 | step: 31850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:28:05.8 | step: 31860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:28:14.6 | step: 31870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.004 | time: 1:28:23.0 | step: 31880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:28:31.7 | step: 31890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:28:40.5 | step: 31900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 1:28:49.3 | step: 31910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:28:58.1 | step: 31920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 1:29:06.4 | step: 31930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:29:15.2 | step: 31940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:29:24.0 | step: 31950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.056 | time: 1:29:32.8 | step: 31960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 1:29:41.1 | step: 31970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:29:49.9 | step: 31980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:29:58.7 | step: 31990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 1:30:07.5 | step: 32000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.66 | lr: 0.0002 | loss: 0.029 | time: 0:00:15.6 | step: 32010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.30 | lr: 0.0002 | loss: 0.027 | time: 0:00:23.3 | step: 32020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.29 | lr: 0.0002 | loss: 0.013 | time: 0:00:31.1 | step: 32030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.29 | lr: 0.0002 | loss: 0.008 | time: 0:00:38.8 | step: 32040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.33 | lr: 0.0002 | loss: 0.007 | time: 0:00:46.4 | step: 32050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.27 | lr: 0.0002 | loss: 0.028 | time: 0:00:54.3 | step: 32060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.26 | lr: 0.0002 | loss: 0.014 | time: 0:01:02.2 | step: 32070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.26 | lr: 0.0002 | loss: 0.013 | time: 0:01:10.1 | step: 32080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.020 | time: 0:01:18.1 | step: 32090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.31 | lr: 0.0002 | loss: 0.011 | time: 0:01:25.8 | step: 32100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 0:01:33.9 | step: 32110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 0:01:42.0 | step: 32120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.007 | time: 0:01:50.1 | step: 32130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.023 | time: 0:01:58.3 | step: 32140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.28 | lr: 0.0002 | loss: 0.018 | time: 0:02:06.0 | step: 32150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.028 | time: 0:02:14.3 | step: 32160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 0:02:22.5 | step: 32170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 0:02:30.8 | step: 32180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.27 | lr: 0.0002 | loss: 0.021 | time: 0:02:38.6 | step: 32190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.009 | time: 0:02:46.9 | step: 32200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.009 | time: 0:02:55.2 | step: 32210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 0:03:03.6 | step: 32220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 0:03:11.9 | step: 32230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.26 | lr: 0.0002 | loss: 0.004 | time: 0:03:19.8 | step: 32240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 0:03:28.2 | step: 32250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:03:36.6 | step: 32260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.020 | time: 0:03:45.0 | step: 32270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 0:03:53.4 | step: 32280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.005 | time: 0:04:01.4 | step: 32290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:04:09.8 | step: 32300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:04:18.2 | step: 32310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.040 | time: 0:04:26.6 | step: 32320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 0:04:34.7 | step: 32330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:04:43.1 | step: 32340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:04:51.6 | step: 32350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:05:00.1 | step: 32360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:05:08.6 | step: 32370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 0:05:16.7 | step: 32380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:05:25.2 | step: 32390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:05:33.7 | step: 32400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 0:05:42.2 | step: 32410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:05:50.7 | step: 32420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.016 | time: 0:05:58.9 | step: 32430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:06:07.4 | step: 32440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:06:15.9 | step: 32450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 0:06:24.4 | step: 32460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.037 | time: 0:06:32.5 | step: 32470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.022 | time: 0:06:41.1 | step: 32480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:06:49.6 | step: 32490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:06:58.1 | step: 32500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:07:06.6 | step: 32510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.017 | time: 0:07:14.8 | step: 32520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:07:23.3 | step: 32530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:07:31.8 | step: 32540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:07:40.3 | step: 32550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.048 | time: 0:07:48.8 | step: 32560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.029 | time: 0:07:56.9 | step: 32570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:08:05.4 | step: 32580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 0:08:14.0 | step: 32590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:08:22.5 | step: 32600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 0:08:31.0 | step: 32610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 0:08:39.1 | step: 32620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:08:47.6 | step: 32630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.038 | time: 0:08:56.1 | step: 32640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:09:04.6 | step: 32650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 0:09:12.7 | step: 32660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.037 | time: 0:09:21.2 | step: 32670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:09:29.7 | step: 32680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:09:38.2 | step: 32690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:09:46.7 | step: 32700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.024 | time: 0:09:54.8 | step: 32710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:10:03.3 | step: 32720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:10:11.8 | step: 32730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:10:20.3 | step: 32740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 0:10:28.8 | step: 32750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 0:10:36.9 | step: 32760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:10:45.4 | step: 32770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:10:53.8 | step: 32780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:11:02.3 | step: 32790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.019 | time: 0:11:10.4 | step: 32800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:11:18.9 | step: 32810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:11:27.4 | step: 32820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.037 | time: 0:11:35.9 | step: 32830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:11:44.4 | step: 32840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 0:11:52.5 | step: 32850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:12:00.9 | step: 32860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 0:12:09.4 | step: 32870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:12:17.9 | step: 32880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:12:26.4 | step: 32890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.033 | time: 0:12:34.5 | step: 32900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:12:43.0 | step: 32910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:12:51.5 | step: 32920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.026 | time: 0:13:00.0 | step: 32930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.033 | time: 0:13:08.1 | step: 32940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.005 | time: 0:13:16.8 | step: 32950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.036 | time: 0:13:25.3 | step: 32960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:13:33.8 | step: 32970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:13:42.3 | step: 32980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.017 | time: 0:13:50.4 | step: 32990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.036 | time: 0:13:58.9 | step: 33000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:14:07.4 | step: 33010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:14:15.9 | step: 33020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.032 | time: 0:14:24.4 | step: 33030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.027 | time: 0:14:32.5 | step: 33040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:14:41.0 | step: 33050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:14:49.6 | step: 33060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 0:14:58.1 | step: 33070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 0:15:06.6 | step: 33080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.015 | time: 0:15:14.7 | step: 33090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:15:23.2 | step: 33100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:15:31.7 | step: 33110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 0:15:40.2 | step: 33120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.020 | time: 0:15:48.3 | step: 33130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:15:56.8 | step: 33140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:16:05.3 | step: 33150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:16:13.8 | step: 33160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 0:16:22.3 | step: 33170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 0:16:30.4 | step: 33180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 0:16:38.9 | step: 33190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 0:16:47.4 | step: 33200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:16:55.8 | step: 33210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:17:04.3 | step: 33220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.035 | time: 0:17:12.4 | step: 33230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:17:20.9 | step: 33240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:17:29.4 | step: 33250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:17:37.9 | step: 33260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.020 | time: 0:17:46.0 | step: 33270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:17:54.4 | step: 33280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 0:18:02.9 | step: 33290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:18:11.4 | step: 33300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:18:19.9 | step: 33310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 0:18:28.0 | step: 33320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:18:36.5 | step: 33330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:18:45.0 | step: 33340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:18:53.5 | step: 33350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:19:02.0 | step: 33360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.012 | time: 0:19:10.1 | step: 33370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:19:18.6 | step: 33380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:19:27.1 | step: 33390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:19:35.7 | step: 33400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.030 | time: 0:19:43.7 | step: 33410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.032 | time: 0:19:52.3 | step: 33420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:20:00.8 | step: 33430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 0:20:09.3 | step: 33440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 0:20:17.8 | step: 33450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.025 | time: 0:20:25.9 | step: 33460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:20:34.5 | step: 33470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 0:20:43.0 | step: 33480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:20:51.5 | step: 33490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:21:00.0 | step: 33500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 0:21:08.0 | step: 33510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:21:16.5 | step: 33520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:21:25.0 | step: 33530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 0:21:33.5 | step: 33540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 0:21:42.0 | step: 33550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.027 | time: 0:21:50.1 | step: 33560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:21:58.6 | step: 33570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:22:07.1 | step: 33580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:22:15.6 | step: 33590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 0:22:23.7 | step: 33600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:22:32.2 | step: 33610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:22:40.7 | step: 33620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:22:49.2 | step: 33630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:22:57.7 | step: 33640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.009 | time: 0:23:05.8 | step: 33650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.055 | time: 0:23:14.2 | step: 33660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:23:22.7 | step: 33670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:23:31.2 | step: 33680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:23:39.7 | step: 33690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 0:23:47.8 | step: 33700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:23:56.3 | step: 33710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:24:04.8 | step: 33720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:24:13.3 | step: 33730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 0:24:21.4 | step: 33740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:24:29.8 | step: 33750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.040 | time: 0:24:38.3 | step: 33760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:24:46.8 | step: 33770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:24:55.3 | step: 33780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 0:25:03.4 | step: 33790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:25:11.9 | step: 33800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:25:20.4 | step: 33810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:25:28.9 | step: 33820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:25:37.4 | step: 33830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 0:25:45.5 | step: 33840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:25:53.9 | step: 33850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 0:26:02.4 | step: 33860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:26:10.9 | step: 33870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.072 | time: 0:26:19.0 | step: 33880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.038 | time: 0:26:27.6 | step: 33890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:26:36.1 | step: 33900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:26:44.5 | step: 33910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:26:53.0 | step: 33920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 0:27:01.1 | step: 33930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 0:27:09.6 | step: 33940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:27:18.1 | step: 33950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:27:26.6 | step: 33960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:27:35.0 | step: 33970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 0:27:43.1 | step: 33980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:27:51.6 | step: 33990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:28:00.1 | step: 34000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.46 | lr: 0.0002 | loss: 0.010 | time: 0:28:21.9 | step: 34010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:28:30.4 | step: 34020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 0:28:38.7 | step: 34030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 0:28:47.4 | step: 34040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 0:28:56.1 | step: 34050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.007 | time: 0:29:04.6 | step: 34060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 0:29:12.7 | step: 34070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.015 | time: 0:29:21.2 | step: 34080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 0:29:29.6 | step: 34090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 0:29:38.0 | step: 34100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 0:29:46.4 | step: 34110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.028 | time: 0:29:54.5 | step: 34120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:30:03.0 | step: 34130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.004 | time: 0:30:11.5 | step: 34140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.057 | time: 0:30:20.1 | step: 34150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:30:28.6 | step: 34160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.039 | time: 0:30:36.7 | step: 34170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:30:45.2 | step: 34180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 0:30:53.7 | step: 34190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:31:02.1 | step: 34200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.004 | time: 0:31:10.2 | step: 34210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:31:18.7 | step: 34220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:31:27.2 | step: 34230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 0:31:35.7 | step: 34240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.017 | time: 0:31:44.2 | step: 34250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.006 | time: 0:31:52.3 | step: 34260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:32:00.9 | step: 34270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 0:32:09.4 | step: 34280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.005 | time: 0:32:17.9 | step: 34290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:32:26.4 | step: 34300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 0:32:34.5 | step: 34310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:32:43.0 | step: 34320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:32:51.5 | step: 34330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:33:00.0 | step: 34340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.032 | time: 0:33:08.1 | step: 34350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.029 | time: 0:33:16.6 | step: 34360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:33:25.1 | step: 34370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.004 | time: 0:33:33.7 | step: 34380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:33:42.2 | step: 34390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.013 | time: 0:33:50.3 | step: 34400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:33:58.8 | step: 34410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:34:07.3 | step: 34420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:34:15.8 | step: 34430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 0:34:24.3 | step: 34440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 0:34:32.4 | step: 34450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:34:40.9 | step: 34460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:34:49.4 | step: 34470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:34:57.9 | step: 34480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:35:06.4 | step: 34490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 0:35:14.5 | step: 34500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 0:35:23.0 | step: 34510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:35:31.5 | step: 34520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:35:40.0 | step: 34530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.036 | time: 0:35:48.1 | step: 34540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:35:56.6 | step: 34550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:36:05.1 | step: 34560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:36:13.6 | step: 34570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:36:22.1 | step: 34580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.011 | time: 0:36:30.2 | step: 34590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:36:38.7 | step: 34600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:36:47.2 | step: 34610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 0:36:55.7 | step: 34620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 0:37:04.2 | step: 34630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 0:37:12.2 | step: 34640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:37:20.7 | step: 34650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:37:29.2 | step: 34660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:37:37.7 | step: 34670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 0:37:45.8 | step: 34680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:37:54.3 | step: 34690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:38:02.8 | step: 34700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:38:11.3 | step: 34710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:38:19.8 | step: 34720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.019 | time: 0:38:27.9 | step: 34730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:38:36.3 | step: 34740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:38:44.8 | step: 34750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:38:53.3 | step: 34760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:39:01.8 | step: 34770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 0:39:09.9 | step: 34780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:39:18.4 | step: 34790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:39:26.9 | step: 34800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 0:39:35.3 | step: 34810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 0:39:43.4 | step: 34820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.014 | time: 0:39:52.0 | step: 34830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 0:40:00.5 | step: 34840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:40:09.0 | step: 34850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:40:17.5 | step: 34860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.005 | time: 0:40:25.6 | step: 34870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.051 | time: 0:40:34.1 | step: 34880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 0:40:42.5 | step: 34890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:40:51.0 | step: 34900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:40:59.5 | step: 34910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 0:41:07.6 | step: 34920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:41:16.1 | step: 34930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:41:24.6 | step: 34940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 0:41:33.1 | step: 34950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:41:41.6 | step: 34960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.009 | time: 0:41:49.6 | step: 34970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:41:58.1 | step: 34980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:42:06.6 | step: 34990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:42:15.1 | step: 35000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 0:42:23.2 | step: 35010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 0:42:31.7 | step: 35020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.011 | time: 0:42:40.3 | step: 35030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:42:48.8 | step: 35040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:42:57.3 | step: 35050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 0:43:05.3 | step: 35060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:43:13.8 | step: 35070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:43:22.3 | step: 35080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 0:43:30.8 | step: 35090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 0:43:39.3 | step: 35100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 0:43:47.4 | step: 35110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:43:55.9 | step: 35120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:44:04.4 | step: 35130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.032 | time: 0:44:12.9 | step: 35140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 0:44:21.0 | step: 35150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 0:44:29.5 | step: 35160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 0:44:38.0 | step: 35170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:44:46.5 | step: 35180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:44:55.0 | step: 35190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.015 | time: 0:45:03.1 | step: 35200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:45:11.6 | step: 35210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:45:20.1 | step: 35220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:45:28.6 | step: 35230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.059 | time: 0:45:37.2 | step: 35240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 0:45:45.3 | step: 35250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:45:53.8 | step: 35260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:46:02.3 | step: 35270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:46:10.7 | step: 35280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 0:46:18.8 | step: 35290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.016 | time: 0:46:27.4 | step: 35300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:46:35.9 | step: 35310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:46:44.3 | step: 35320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:46:52.8 | step: 35330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 0:47:00.9 | step: 35340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:47:09.4 | step: 35350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:47:17.8 | step: 35360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:47:26.3 | step: 35370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:47:34.8 | step: 35380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 0:47:42.9 | step: 35390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:47:51.4 | step: 35400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:47:59.8 | step: 35410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 0:48:08.3 | step: 35420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.033 | time: 0:48:16.8 | step: 35430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 0:48:24.9 | step: 35440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 0:48:33.4 | step: 35450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:48:41.9 | step: 35460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:48:50.4 | step: 35470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.007 | time: 0:48:58.5 | step: 35480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 0:49:07.0 | step: 35490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:49:15.5 | step: 35500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:49:24.0 | step: 35510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 0:49:32.5 | step: 35520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 0:49:40.6 | step: 35530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:49:49.1 | step: 35540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.046 | time: 0:49:57.7 | step: 35550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 0:50:06.2 | step: 35560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:50:14.7 | step: 35570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 0:50:22.7 | step: 35580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.028 | time: 0:50:31.3 | step: 35590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:50:39.8 | step: 35600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.029 | time: 0:50:48.3 | step: 35610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 0:50:56.4 | step: 35620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:51:04.9 | step: 35630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:51:13.4 | step: 35640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 0:51:21.9 | step: 35650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 0:51:30.4 | step: 35660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.030 | time: 0:51:38.5 | step: 35670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:51:47.0 | step: 35680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 0:51:55.5 | step: 35690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 0:52:04.0 | step: 35700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:52:12.5 | step: 35710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.032 | time: 0:52:20.6 | step: 35720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:52:29.0 | step: 35730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 0:52:37.5 | step: 35740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:52:46.0 | step: 35750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 0:52:54.1 | step: 35760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.018 | time: 0:53:02.7 | step: 35770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 0:53:11.2 | step: 35780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 0:53:19.7 | step: 35790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:53:28.2 | step: 35800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 0:53:36.2 | step: 35810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 0:53:44.7 | step: 35820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:53:53.2 | step: 35830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:54:01.7 | step: 35840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:54:10.2 | step: 35850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 0:54:18.3 | step: 35860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:54:26.8 | step: 35870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 0:54:35.3 | step: 35880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 0:54:43.8 | step: 35890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 0:54:52.3 | step: 35900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.022 | time: 0:55:00.3 | step: 35910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 0:55:08.8 | step: 35920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 0:55:17.3 | step: 35930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:55:25.8 | step: 35940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.031 | time: 0:55:33.9 | step: 35950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 0:55:42.4 | step: 35960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:55:50.9 | step: 35970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:55:59.4 | step: 35980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:56:07.9 | step: 35990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 0:56:16.0 | step: 36000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.52 | lr: 0.0002 | loss: 0.014 | time: 0:56:35.3 | step: 36010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 0:56:43.8 | step: 36020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.019 | time: 0:56:52.5 | step: 36030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 0:57:01.2 | step: 36040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.035 | time: 0:57:09.4 | step: 36050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:57:17.9 | step: 36060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 0:57:26.4 | step: 36070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 0:57:34.8 | step: 36080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.012 | time: 0:57:42.8 | step: 36090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.031 | time: 0:57:51.3 | step: 36100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 0:57:59.7 | step: 36110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 0:58:08.2 | step: 36120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 0:58:16.7 | step: 36130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.009 | time: 0:58:24.8 | step: 36140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 0:58:33.3 | step: 36150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:58:41.8 | step: 36160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 0:58:50.3 | step: 36170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 0:58:58.8 | step: 36180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 0:59:06.9 | step: 36190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 0:59:15.3 | step: 36200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 0:59:23.8 | step: 36210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 0:59:32.3 | step: 36220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 0:59:40.3 | step: 36230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.013 | time: 0:59:48.9 | step: 36240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 0:59:57.4 | step: 36250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:00:05.9 | step: 36260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:00:14.4 | step: 36270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 1:00:22.5 | step: 36280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:00:31.0 | step: 36290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:00:39.5 | step: 36300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:00:47.9 | step: 36310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 1:00:56.4 | step: 36320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 1:01:04.5 | step: 36330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 1:01:13.0 | step: 36340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:01:21.5 | step: 36350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:01:30.0 | step: 36360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:01:38.5 | step: 36370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.013 | time: 1:01:46.6 | step: 36380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:01:55.1 | step: 36390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 1:02:03.6 | step: 36400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:02:12.1 | step: 36410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.048 | time: 1:02:20.2 | step: 36420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:02:28.7 | step: 36430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:02:37.2 | step: 36440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:02:45.7 | step: 36450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:02:54.2 | step: 36460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 1:03:02.3 | step: 36470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:03:10.8 | step: 36480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.059 | time: 1:03:19.2 | step: 36490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:03:27.7 | step: 36500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 1:03:36.2 | step: 36510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.043 | time: 1:03:44.3 | step: 36520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:03:52.7 | step: 36530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 1:04:01.2 | step: 36540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:04:09.7 | step: 36550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 1:04:17.8 | step: 36560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:04:26.2 | step: 36570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:04:34.7 | step: 36580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:04:43.2 | step: 36590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:04:51.7 | step: 36600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.019 | time: 1:04:59.8 | step: 36610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:05:08.3 | step: 36620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:05:16.8 | step: 36630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:05:25.3 | step: 36640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:05:33.8 | step: 36650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 1:05:41.9 | step: 36660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:05:50.4 | step: 36670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:05:58.9 | step: 36680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:06:07.4 | step: 36690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.027 | time: 1:06:15.5 | step: 36700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.051 | time: 1:06:24.0 | step: 36710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:06:32.5 | step: 36720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:06:41.0 | step: 36730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 1:06:49.6 | step: 36740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 1:06:57.7 | step: 36750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.021 | time: 1:07:06.2 | step: 36760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:07:14.7 | step: 36770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 1:07:23.2 | step: 36780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:07:31.7 | step: 36790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.039 | time: 1:07:39.8 | step: 36800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:07:48.3 | step: 36810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.047 | time: 1:07:56.8 | step: 36820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:08:05.3 | step: 36830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:08:13.8 | step: 36840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.029 | time: 1:08:21.9 | step: 36850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:08:30.4 | step: 36860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:08:38.9 | step: 36870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:08:47.4 | step: 36880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.027 | time: 1:08:55.4 | step: 36890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:09:03.9 | step: 36900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:09:12.4 | step: 36910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:09:20.9 | step: 36920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:09:29.4 | step: 36930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 1:09:37.5 | step: 36940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:09:46.0 | step: 36950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:09:54.5 | step: 36960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 1:10:03.0 | step: 36970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:10:11.5 | step: 36980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 1:10:19.6 | step: 36990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:10:28.1 | step: 37000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.041 | time: 1:10:36.6 | step: 37010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:10:45.0 | step: 37020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 1:10:53.1 | step: 37030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:11:01.6 | step: 37040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:11:10.1 | step: 37050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 1:11:18.6 | step: 37060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:11:27.1 | step: 37070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.028 | time: 1:11:35.2 | step: 37080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 1:11:43.7 | step: 37090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:11:52.2 | step: 37100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:12:00.7 | step: 37110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.041 | time: 1:12:09.1 | step: 37120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.029 | time: 1:12:17.2 | step: 37130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.058 | time: 1:12:25.7 | step: 37140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:12:34.2 | step: 37150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:12:42.7 | step: 37160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.003 | time: 1:12:50.8 | step: 37170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.014 | time: 1:12:59.4 | step: 37180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:13:07.9 | step: 37190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:13:16.4 | step: 37200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 1:13:24.9 | step: 37210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 1:13:33.0 | step: 37220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 1:13:41.5 | step: 37230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:13:50.0 | step: 37240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:13:58.4 | step: 37250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 1:14:06.9 | step: 37260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 1:14:15.0 | step: 37270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.036 | time: 1:14:23.5 | step: 37280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 1:14:32.0 | step: 37290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 1:14:40.5 | step: 37300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:14:49.0 | step: 37310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.017 | time: 1:14:57.1 | step: 37320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:15:05.6 | step: 37330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:15:14.1 | step: 37340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:15:22.6 | step: 37350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.007 | time: 1:15:30.7 | step: 37360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:15:39.2 | step: 37370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:15:47.7 | step: 37380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:15:56.2 | step: 37390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:16:04.7 | step: 37400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.033 | time: 1:16:12.8 | step: 37410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 1:16:21.3 | step: 37420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 1:16:29.8 | step: 37430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:16:38.3 | step: 37440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.004 | time: 1:16:46.8 | step: 37450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.020 | time: 1:16:54.9 | step: 37460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:17:03.4 | step: 37470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:17:11.9 | step: 37480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:17:20.4 | step: 37490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 1:17:28.5 | step: 37500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:17:37.0 | step: 37510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:17:45.5 | step: 37520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.060 | time: 1:17:54.0 | step: 37530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 1:18:02.5 | step: 37540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.041 | time: 1:18:10.6 | step: 37550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:18:19.1 | step: 37560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:18:27.6 | step: 37570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:18:36.1 | step: 37580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:18:44.6 | step: 37590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 1:18:52.7 | step: 37600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:19:01.2 | step: 37610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 1:19:09.6 | step: 37620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:19:18.1 | step: 37630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 1:19:26.2 | step: 37640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.059 | time: 1:19:34.8 | step: 37650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:19:43.3 | step: 37660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 1:19:51.8 | step: 37670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:20:00.3 | step: 37680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 1:20:08.3 | step: 37690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:20:16.8 | step: 37700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 1:20:25.3 | step: 37710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:20:33.8 | step: 37720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 1:20:42.3 | step: 37730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.030 | time: 1:20:50.4 | step: 37740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:20:58.8 | step: 37750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:21:07.3 | step: 37760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:21:15.8 | step: 37770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:21:24.3 | step: 37780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 1:21:32.4 | step: 37790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:21:40.8 | step: 37800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:21:49.3 | step: 37810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:21:57.8 | step: 37820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.030 | time: 1:22:05.8 | step: 37830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:22:14.3 | step: 37840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:22:22.8 | step: 37850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:22:31.3 | step: 37860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:22:39.8 | step: 37870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 1:22:47.8 | step: 37880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:22:56.3 | step: 37890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:23:04.8 | step: 37900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 1:23:13.3 | step: 37910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:23:21.7 | step: 37920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 1:23:29.8 | step: 37930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:23:38.3 | step: 37940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:23:46.8 | step: 37950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 1:23:55.3 | step: 37960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.028 | time: 1:24:03.3 | step: 37970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:24:11.8 | step: 37980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:24:20.3 | step: 37990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:24:28.8 | step: 38000 epoch: 127 | 40/ 47 | logs/44k/diffusion | batch/s: 0.52 | lr: 0.0002 | loss: 0.008 | time: 1:24:47.9 | step: 38010 epoch: 128 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 1:24:56.0 | step: 38020 epoch: 128 | 13/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 1:25:04.6 | step: 38030 epoch: 128 | 23/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 1:25:13.3 | step: 38040 epoch: 128 | 33/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.003 | time: 1:25:21.9 | step: 38050 epoch: 128 | 43/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 1:25:30.4 | step: 38060 epoch: 129 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.027 | time: 1:25:38.5 | step: 38070 epoch: 129 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 1:25:46.9 | step: 38080 epoch: 129 | 26/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 1:25:55.3 | step: 38090 epoch: 129 | 36/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.028 | time: 1:26:03.8 | step: 38100 epoch: 129 | 46/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 1:26:11.8 | step: 38110 epoch: 130 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 1:26:20.3 | step: 38120 epoch: 130 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:26:28.9 | step: 38130 epoch: 130 | 29/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.035 | time: 1:26:37.4 | step: 38140 epoch: 130 | 39/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 1:26:45.9 | step: 38150 epoch: 131 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.005 | time: 1:26:54.0 | step: 38160 epoch: 131 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:27:02.5 | step: 38170 epoch: 131 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:27:11.0 | step: 38180 epoch: 131 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 1:27:19.5 | step: 38190 epoch: 131 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:27:28.0 | step: 38200 epoch: 132 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.042 | time: 1:27:36.0 | step: 38210 epoch: 132 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:27:44.5 | step: 38220 epoch: 132 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:27:53.0 | step: 38230 epoch: 132 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:28:01.5 | step: 38240 epoch: 132 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:28:10.0 | step: 38250 epoch: 133 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 1:28:18.1 | step: 38260 epoch: 133 | 18/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.022 | time: 1:28:26.6 | step: 38270 epoch: 133 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:28:35.1 | step: 38280 epoch: 133 | 38/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 1:28:43.6 | step: 38290 epoch: 134 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.035 | time: 1:28:51.7 | step: 38300 epoch: 134 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 1:29:00.2 | step: 38310 epoch: 134 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 1:29:08.7 | step: 38320 epoch: 134 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:29:17.2 | step: 38330 epoch: 134 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.046 | time: 1:29:25.7 | step: 38340 epoch: 135 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 1:29:33.7 | step: 38350 epoch: 135 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:29:42.2 | step: 38360 epoch: 135 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:29:50.7 | step: 38370 epoch: 135 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:29:59.2 | step: 38380 epoch: 135 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:30:07.7 | step: 38390 epoch: 136 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 1:30:15.7 | step: 38400 epoch: 136 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:30:24.2 | step: 38410 epoch: 136 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:30:32.7 | step: 38420 epoch: 136 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:30:41.2 | step: 38430 epoch: 137 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 1:30:49.2 | step: 38440 epoch: 137 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 1:30:57.7 | step: 38450 epoch: 137 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:31:06.2 | step: 38460 epoch: 137 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 1:31:14.7 | step: 38470 epoch: 137 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:31:23.2 | step: 38480 epoch: 138 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 1:31:31.2 | step: 38490 epoch: 138 | 13/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.017 | time: 1:31:39.7 | step: 38500 epoch: 138 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:31:48.2 | step: 38510 epoch: 138 | 33/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 1:31:56.7 | step: 38520 epoch: 138 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 1:32:05.2 | step: 38530 epoch: 139 | 6/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.010 | time: 1:32:13.3 | step: 38540 epoch: 139 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:32:21.9 | step: 38550 epoch: 139 | 26/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.038 | time: 1:32:30.4 | step: 38560 epoch: 139 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 1:32:38.9 | step: 38570 epoch: 139 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.034 | time: 1:32:47.0 | step: 38580 epoch: 140 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.021 | time: 1:32:55.6 | step: 38590 epoch: 140 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:33:04.1 | step: 38600 epoch: 140 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 1:33:12.5 | step: 38610 epoch: 140 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:33:21.0 | step: 38620 epoch: 141 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 1:33:29.1 | step: 38630 epoch: 141 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 1:33:37.6 | step: 38640 epoch: 141 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:33:46.1 | step: 38650 epoch: 141 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:33:54.6 | step: 38660 epoch: 141 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 1:34:03.0 | step: 38670 epoch: 142 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.049 | time: 1:34:11.1 | step: 38680 epoch: 142 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:34:19.6 | step: 38690 epoch: 142 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:34:28.1 | step: 38700 epoch: 142 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:34:36.6 | step: 38710 epoch: 142 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:34:45.1 | step: 38720 epoch: 143 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 1:34:53.2 | step: 38730 epoch: 143 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:35:01.6 | step: 38740 epoch: 143 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:35:10.1 | step: 38750 epoch: 143 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:35:18.6 | step: 38760 epoch: 144 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.003 | time: 1:35:26.7 | step: 38770 epoch: 144 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:35:35.2 | step: 38780 epoch: 144 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:35:43.7 | step: 38790 epoch: 144 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 1:35:52.2 | step: 38800 epoch: 144 | 41/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.017 | time: 1:36:00.7 | step: 38810 epoch: 145 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.032 | time: 1:36:08.8 | step: 38820 epoch: 145 | 14/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.046 | time: 1:36:17.3 | step: 38830 epoch: 145 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.048 | time: 1:36:25.8 | step: 38840 epoch: 145 | 34/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 1:36:34.3 | step: 38850 epoch: 145 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:36:42.8 | step: 38860 epoch: 146 | 7/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.018 | time: 1:36:50.9 | step: 38870 epoch: 146 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:36:59.4 | step: 38880 epoch: 146 | 27/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.029 | time: 1:37:07.9 | step: 38890 epoch: 146 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.060 | time: 1:37:16.4 | step: 38900 epoch: 147 | 0/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.022 | time: 1:37:24.5 | step: 38910 epoch: 147 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:37:33.0 | step: 38920 epoch: 147 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:37:41.5 | step: 38930 epoch: 147 | 30/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 1:37:50.0 | step: 38940 epoch: 147 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:37:58.5 | step: 38950 epoch: 148 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.019 | time: 1:38:06.6 | step: 38960 epoch: 148 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:38:15.1 | step: 38970 epoch: 148 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:38:23.6 | step: 38980 epoch: 148 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:38:32.1 | step: 38990 epoch: 148 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:38:40.6 | step: 39000 epoch: 149 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 1:38:48.6 | step: 39010 epoch: 149 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:38:57.1 | step: 39020 epoch: 149 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:39:05.6 | step: 39030 epoch: 149 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:39:14.1 | step: 39040 epoch: 149 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.019 | time: 1:39:22.2 | step: 39050 epoch: 150 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 1:39:30.8 | step: 39060 epoch: 150 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:39:39.3 | step: 39070 epoch: 150 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:39:47.7 | step: 39080 epoch: 150 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 1:39:56.2 | step: 39090 epoch: 151 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 1:40:04.3 | step: 39100 epoch: 151 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:40:12.8 | step: 39110 epoch: 151 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 1:40:21.3 | step: 39120 epoch: 151 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:40:29.8 | step: 39130 epoch: 151 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:40:38.2 | step: 39140 epoch: 152 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.005 | time: 1:40:46.3 | step: 39150 epoch: 152 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:40:54.8 | step: 39160 epoch: 152 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:41:03.3 | step: 39170 epoch: 152 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:41:11.7 | step: 39180 epoch: 152 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:41:20.2 | step: 39190 epoch: 153 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 1:41:28.3 | step: 39200 epoch: 153 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.041 | time: 1:41:36.8 | step: 39210 epoch: 153 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:41:45.2 | step: 39220 epoch: 153 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:41:53.7 | step: 39230 epoch: 154 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 1:42:01.8 | step: 39240 epoch: 154 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 1:42:10.3 | step: 39250 epoch: 154 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:42:18.7 | step: 39260 epoch: 154 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:42:27.2 | step: 39270 epoch: 154 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:42:35.7 | step: 39280 epoch: 155 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 1:42:43.8 | step: 39290 epoch: 155 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:42:52.2 | step: 39300 epoch: 155 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 1:43:00.7 | step: 39310 epoch: 155 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:43:09.2 | step: 39320 epoch: 155 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 1:43:17.7 | step: 39330 epoch: 156 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 1:43:25.8 | step: 39340 epoch: 156 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:43:34.2 | step: 39350 epoch: 156 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:43:42.7 | step: 39360 epoch: 156 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:43:51.2 | step: 39370 epoch: 157 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.051 | time: 1:43:59.3 | step: 39380 epoch: 157 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 1:44:07.7 | step: 39390 epoch: 157 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:44:16.2 | step: 39400 epoch: 157 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 1:44:24.7 | step: 39410 epoch: 157 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:44:33.2 | step: 39420 epoch: 158 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.035 | time: 1:44:41.2 | step: 39430 epoch: 158 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 1:44:49.7 | step: 39440 epoch: 158 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:44:58.2 | step: 39450 epoch: 158 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:45:06.6 | step: 39460 epoch: 158 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 1:45:15.1 | step: 39470 epoch: 159 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 1:45:23.2 | step: 39480 epoch: 159 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:45:31.6 | step: 39490 epoch: 159 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:45:40.1 | step: 39500 epoch: 159 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:45:48.6 | step: 39510 epoch: 159 | 46/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 1:45:56.7 | step: 39520 epoch: 160 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.020 | time: 1:46:05.2 | step: 39530 epoch: 160 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:46:13.7 | step: 39540 epoch: 160 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:46:22.1 | step: 39550 epoch: 160 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:46:30.6 | step: 39560 epoch: 161 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 1:46:38.7 | step: 39570 epoch: 161 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 1:46:47.1 | step: 39580 epoch: 161 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 1:46:55.6 | step: 39590 epoch: 161 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.065 | time: 1:47:04.1 | step: 39600 epoch: 161 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 1:47:12.5 | step: 39610 epoch: 162 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.020 | time: 1:47:20.6 | step: 39620 epoch: 162 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:47:29.1 | step: 39630 epoch: 162 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:47:37.5 | step: 39640 epoch: 162 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:47:46.0 | step: 39650 epoch: 162 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:47:54.5 | step: 39660 epoch: 163 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 1:48:02.6 | step: 39670 epoch: 163 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 1:48:11.0 | step: 39680 epoch: 163 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:48:19.5 | step: 39690 epoch: 163 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:48:28.0 | step: 39700 epoch: 164 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 1:48:36.0 | step: 39710 epoch: 164 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:48:44.5 | step: 39720 epoch: 164 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:48:53.0 | step: 39730 epoch: 164 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 1:49:01.5 | step: 39740 epoch: 164 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 1:49:10.0 | step: 39750 epoch: 165 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 1:49:18.1 | step: 39760 epoch: 165 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:49:26.5 | step: 39770 epoch: 165 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:49:35.0 | step: 39780 epoch: 165 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:49:43.5 | step: 39790 epoch: 165 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:49:52.0 | step: 39800 epoch: 166 | 7/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.013 | time: 1:50:00.1 | step: 39810 epoch: 166 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 1:50:08.6 | step: 39820 epoch: 166 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:50:17.1 | step: 39830 epoch: 166 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:50:25.7 | step: 39840 epoch: 167 | 0/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.024 | time: 1:50:33.7 | step: 39850 epoch: 167 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 1:50:42.3 | step: 39860 epoch: 167 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 1:50:50.8 | step: 39870 epoch: 167 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 1:50:59.3 | step: 39880 epoch: 167 | 40/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 1:51:07.8 | step: 39890 epoch: 168 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.007 | time: 1:51:15.9 | step: 39900 epoch: 168 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:51:24.4 | step: 39910 epoch: 168 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:51:32.9 | step: 39920 epoch: 168 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:51:41.4 | step: 39930 epoch: 168 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:51:49.9 | step: 39940 epoch: 169 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 1:51:58.0 | step: 39950 epoch: 169 | 16/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.049 | time: 1:52:06.5 | step: 39960 epoch: 169 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:52:15.0 | step: 39970 epoch: 169 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:52:23.5 | step: 39980 epoch: 169 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.012 | time: 1:52:31.6 | step: 39990 epoch: 170 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.010 | time: 1:52:40.1 | step: 40000 epoch: 170 | 19/ 47 | logs/44k/diffusion | batch/s: 0.53 | lr: 0.0002 | loss: 0.029 | time: 1:52:59.0 | step: 40010 epoch: 170 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:53:07.5 | step: 40020 epoch: 170 | 39/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.003 | time: 1:53:16.2 | step: 40030 epoch: 171 | 2/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.027 | time: 1:53:24.5 | step: 40040 epoch: 171 | 12/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 1:53:33.0 | step: 40050 epoch: 171 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 1:53:41.6 | step: 40060 epoch: 171 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:53:50.0 | step: 40070 epoch: 171 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:53:58.5 | step: 40080 epoch: 172 | 5/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.006 | time: 1:54:06.5 | step: 40090 epoch: 172 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 1:54:14.9 | step: 40100 epoch: 172 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 1:54:23.4 | step: 40110 epoch: 172 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:54:31.9 | step: 40120 epoch: 172 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 1:54:40.4 | step: 40130 epoch: 173 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.011 | time: 1:54:48.5 | step: 40140 epoch: 173 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 1:54:57.0 | step: 40150 epoch: 173 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 1:55:05.5 | step: 40160 epoch: 173 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 1:55:14.0 | step: 40170 epoch: 174 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 1:55:22.1 | step: 40180 epoch: 174 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:55:30.5 | step: 40190 epoch: 174 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:55:39.0 | step: 40200 epoch: 174 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 1:55:47.4 | step: 40210 epoch: 174 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 1:55:55.9 | step: 40220 epoch: 175 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 1:56:04.0 | step: 40230 epoch: 175 | 14/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.031 | time: 1:56:12.5 | step: 40240 epoch: 175 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 1:56:21.0 | step: 40250 epoch: 175 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:56:29.5 | step: 40260 epoch: 175 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 1:56:38.0 | step: 40270 epoch: 176 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 1:56:46.1 | step: 40280 epoch: 176 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:56:54.6 | step: 40290 epoch: 176 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 1:57:03.1 | step: 40300 epoch: 176 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:57:11.6 | step: 40310 epoch: 177 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 1:57:19.6 | step: 40320 epoch: 177 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 1:57:28.1 | step: 40330 epoch: 177 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 1:57:36.6 | step: 40340 epoch: 177 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 1:57:45.1 | step: 40350 epoch: 177 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 1:57:53.6 | step: 40360 epoch: 178 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 1:58:01.6 | step: 40370 epoch: 178 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 1:58:10.1 | step: 40380 epoch: 178 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 1:58:18.6 | step: 40390 epoch: 178 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 1:58:27.1 | step: 40400 epoch: 178 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 1:58:35.5 | step: 40410 epoch: 179 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 1:58:43.6 | step: 40420 epoch: 179 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 1:58:52.1 | step: 40430 epoch: 179 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:59:00.5 | step: 40440 epoch: 179 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 1:59:09.0 | step: 40450 epoch: 179 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.047 | time: 1:59:17.1 | step: 40460 epoch: 180 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.019 | time: 1:59:25.7 | step: 40470 epoch: 180 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 1:59:34.1 | step: 40480 epoch: 180 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 1:59:42.6 | step: 40490 epoch: 180 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 1:59:51.1 | step: 40500 epoch: 181 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.039 | time: 1:59:59.2 | step: 40510 epoch: 181 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 2:00:07.6 | step: 40520 epoch: 181 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:00:16.1 | step: 40530 epoch: 181 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:00:24.6 | step: 40540 epoch: 181 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:00:33.1 | step: 40550 epoch: 182 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 2:00:41.1 | step: 40560 epoch: 182 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:00:49.6 | step: 40570 epoch: 182 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 2:00:58.1 | step: 40580 epoch: 182 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:01:06.6 | step: 40590 epoch: 182 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:01:15.1 | step: 40600 epoch: 183 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.018 | time: 2:01:23.2 | step: 40610 epoch: 183 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:01:31.7 | step: 40620 epoch: 183 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:01:40.2 | step: 40630 epoch: 183 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:01:48.7 | step: 40640 epoch: 184 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.013 | time: 2:01:56.8 | step: 40650 epoch: 184 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 2:02:05.3 | step: 40660 epoch: 184 | 21/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 2:02:13.8 | step: 40670 epoch: 184 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:02:22.3 | step: 40680 epoch: 184 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:02:30.8 | step: 40690 epoch: 185 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 2:02:38.9 | step: 40700 epoch: 185 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:02:47.4 | step: 40710 epoch: 185 | 24/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.018 | time: 2:02:55.9 | step: 40720 epoch: 185 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:03:04.4 | step: 40730 epoch: 185 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:03:12.9 | step: 40740 epoch: 186 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 2:03:21.0 | step: 40750 epoch: 186 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:03:29.5 | step: 40760 epoch: 186 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:03:38.0 | step: 40770 epoch: 186 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:03:46.5 | step: 40780 epoch: 187 | 0/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.020 | time: 2:03:54.5 | step: 40790 epoch: 187 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:04:03.0 | step: 40800 epoch: 187 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:04:11.5 | step: 40810 epoch: 187 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:04:20.0 | step: 40820 epoch: 187 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:04:28.5 | step: 40830 epoch: 188 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 2:04:36.6 | step: 40840 epoch: 188 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:04:45.1 | step: 40850 epoch: 188 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:04:53.5 | step: 40860 epoch: 188 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 2:05:02.0 | step: 40870 epoch: 188 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:05:10.5 | step: 40880 epoch: 189 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 2:05:18.6 | step: 40890 epoch: 189 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 2:05:27.1 | step: 40900 epoch: 189 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:05:35.6 | step: 40910 epoch: 189 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:05:44.0 | step: 40920 epoch: 189 | 46/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 2:05:52.1 | step: 40930 epoch: 190 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.008 | time: 2:06:00.7 | step: 40940 epoch: 190 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:06:09.1 | step: 40950 epoch: 190 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:06:17.6 | step: 40960 epoch: 190 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:06:26.1 | step: 40970 epoch: 191 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 2:06:34.2 | step: 40980 epoch: 191 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:06:42.7 | step: 40990 epoch: 191 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:06:51.2 | step: 41000 epoch: 191 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 2:06:59.7 | step: 41010 epoch: 191 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:07:08.1 | step: 41020 epoch: 192 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 2:07:16.2 | step: 41030 epoch: 192 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:07:24.7 | step: 41040 epoch: 192 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:07:33.2 | step: 41050 epoch: 192 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 2:07:41.7 | step: 41060 epoch: 192 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:07:50.1 | step: 41070 epoch: 193 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.031 | time: 2:07:58.2 | step: 41080 epoch: 193 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:08:06.7 | step: 41090 epoch: 193 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:08:15.2 | step: 41100 epoch: 193 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:08:23.7 | step: 41110 epoch: 194 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.036 | time: 2:08:31.8 | step: 41120 epoch: 194 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:08:40.2 | step: 41130 epoch: 194 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:08:48.7 | step: 41140 epoch: 194 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:08:57.2 | step: 41150 epoch: 194 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.037 | time: 2:09:05.7 | step: 41160 epoch: 195 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 2:09:13.8 | step: 41170 epoch: 195 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:09:22.2 | step: 41180 epoch: 195 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:09:30.7 | step: 41190 epoch: 195 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:09:39.2 | step: 41200 epoch: 195 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:09:47.7 | step: 41210 epoch: 196 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 2:09:55.8 | step: 41220 epoch: 196 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:10:04.2 | step: 41230 epoch: 196 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:10:12.7 | step: 41240 epoch: 196 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:10:21.2 | step: 41250 epoch: 197 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 2:10:29.3 | step: 41260 epoch: 197 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:10:37.8 | step: 41270 epoch: 197 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.067 | time: 2:10:46.3 | step: 41280 epoch: 197 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:10:54.7 | step: 41290 epoch: 197 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:11:03.2 | step: 41300 epoch: 198 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 2:11:11.3 | step: 41310 epoch: 198 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:11:19.8 | step: 41320 epoch: 198 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.041 | time: 2:11:28.3 | step: 41330 epoch: 198 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:11:36.8 | step: 41340 epoch: 198 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 2:11:45.3 | step: 41350 epoch: 199 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.030 | time: 2:11:53.4 | step: 41360 epoch: 199 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:12:01.8 | step: 41370 epoch: 199 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:12:10.3 | step: 41380 epoch: 199 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:12:18.8 | step: 41390 epoch: 199 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 2:12:26.9 | step: 41400 epoch: 200 | 9/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.036 | time: 2:12:35.4 | step: 41410 epoch: 200 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:12:43.9 | step: 41420 epoch: 200 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 2:12:52.4 | step: 41430 epoch: 200 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:13:00.9 | step: 41440 epoch: 201 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.032 | time: 2:13:09.0 | step: 41450 epoch: 201 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 2:13:17.4 | step: 41460 epoch: 201 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:13:25.9 | step: 41470 epoch: 201 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:13:34.4 | step: 41480 epoch: 201 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 2:13:42.9 | step: 41490 epoch: 202 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 2:13:51.0 | step: 41500 epoch: 202 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:13:59.5 | step: 41510 epoch: 202 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 2:14:07.9 | step: 41520 epoch: 202 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:14:16.4 | step: 41530 epoch: 202 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:14:24.9 | step: 41540 epoch: 203 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 2:14:33.0 | step: 41550 epoch: 203 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:14:41.5 | step: 41560 epoch: 203 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:14:49.9 | step: 41570 epoch: 203 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:14:58.4 | step: 41580 epoch: 204 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 2:15:06.5 | step: 41590 epoch: 204 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:15:15.0 | step: 41600 epoch: 204 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:15:23.5 | step: 41610 epoch: 204 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.051 | time: 2:15:31.9 | step: 41620 epoch: 204 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 2:15:40.4 | step: 41630 epoch: 205 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 2:15:48.5 | step: 41640 epoch: 205 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:15:56.9 | step: 41650 epoch: 205 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:16:05.4 | step: 41660 epoch: 205 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 2:16:13.9 | step: 41670 epoch: 205 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:16:22.4 | step: 41680 epoch: 206 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 2:16:30.4 | step: 41690 epoch: 206 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:16:38.9 | step: 41700 epoch: 206 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 2:16:47.4 | step: 41710 epoch: 206 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:16:55.9 | step: 41720 epoch: 207 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 2:17:03.9 | step: 41730 epoch: 207 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:17:12.4 | step: 41740 epoch: 207 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.003 | time: 2:17:20.9 | step: 41750 epoch: 207 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:17:29.3 | step: 41760 epoch: 207 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:17:37.8 | step: 41770 epoch: 208 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 2:17:45.9 | step: 41780 epoch: 208 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:17:54.3 | step: 41790 epoch: 208 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:18:02.8 | step: 41800 epoch: 208 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:18:11.3 | step: 41810 epoch: 208 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:18:19.8 | step: 41820 epoch: 209 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.030 | time: 2:18:27.8 | step: 41830 epoch: 209 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:18:36.3 | step: 41840 epoch: 209 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:18:44.8 | step: 41850 epoch: 209 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:18:53.3 | step: 41860 epoch: 209 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 2:19:01.3 | step: 41870 epoch: 210 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.007 | time: 2:19:09.9 | step: 41880 epoch: 210 | 19/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 2:19:18.4 | step: 41890 epoch: 210 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:19:26.9 | step: 41900 epoch: 210 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:19:35.3 | step: 41910 epoch: 211 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 2:19:43.4 | step: 41920 epoch: 211 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:19:51.9 | step: 41930 epoch: 211 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:20:00.3 | step: 41940 epoch: 211 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 2:20:08.8 | step: 41950 epoch: 211 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:20:17.3 | step: 41960 epoch: 212 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 2:20:25.3 | step: 41970 epoch: 212 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 2:20:33.8 | step: 41980 epoch: 212 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:20:42.3 | step: 41990 epoch: 212 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:20:50.8 | step: 42000 epoch: 212 | 45/ 47 | logs/44k/diffusion | batch/s: 0.58 | lr: 0.0002 | loss: 0.028 | time: 2:21:08.0 | step: 42010 epoch: 213 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 2:21:16.0 | step: 42020 epoch: 213 | 18/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.028 | time: 2:21:24.7 | step: 42030 epoch: 213 | 28/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.013 | time: 2:21:33.3 | step: 42040 epoch: 213 | 38/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.026 | time: 2:21:41.8 | step: 42050 epoch: 214 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 2:21:49.9 | step: 42060 epoch: 214 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:21:58.4 | step: 42070 epoch: 214 | 21/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 2:22:06.8 | step: 42080 epoch: 214 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.049 | time: 2:22:15.3 | step: 42090 epoch: 214 | 41/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.017 | time: 2:22:23.7 | step: 42100 epoch: 215 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.003 | time: 2:22:31.8 | step: 42110 epoch: 215 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:22:40.3 | step: 42120 epoch: 215 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:22:48.8 | step: 42130 epoch: 215 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:22:57.3 | step: 42140 epoch: 215 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:23:05.8 | step: 42150 epoch: 216 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 2:23:13.8 | step: 42160 epoch: 216 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 2:23:22.3 | step: 42170 epoch: 216 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:23:30.8 | step: 42180 epoch: 216 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:23:39.3 | step: 42190 epoch: 217 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 2:23:47.4 | step: 42200 epoch: 217 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:23:55.9 | step: 42210 epoch: 217 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:24:04.3 | step: 42220 epoch: 217 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.036 | time: 2:24:12.8 | step: 42230 epoch: 217 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:24:21.3 | step: 42240 epoch: 218 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 2:24:29.4 | step: 42250 epoch: 218 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:24:37.8 | step: 42260 epoch: 218 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:24:46.3 | step: 42270 epoch: 218 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:24:54.8 | step: 42280 epoch: 218 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:25:03.3 | step: 42290 epoch: 219 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 2:25:11.3 | step: 42300 epoch: 219 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:25:19.8 | step: 42310 epoch: 219 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:25:28.3 | step: 42320 epoch: 219 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:25:36.8 | step: 42330 epoch: 219 | 46/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 2:25:44.8 | step: 42340 epoch: 220 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.018 | time: 2:25:53.4 | step: 42350 epoch: 220 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:26:01.8 | step: 42360 epoch: 220 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:26:10.3 | step: 42370 epoch: 220 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:26:18.8 | step: 42380 epoch: 221 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 2:26:26.8 | step: 42390 epoch: 221 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:26:35.3 | step: 42400 epoch: 221 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:26:43.8 | step: 42410 epoch: 221 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 2:26:52.2 | step: 42420 epoch: 221 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:27:00.7 | step: 42430 epoch: 222 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 2:27:08.8 | step: 42440 epoch: 222 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:27:17.3 | step: 42450 epoch: 222 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:27:25.7 | step: 42460 epoch: 222 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:27:34.2 | step: 42470 epoch: 222 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 2:27:42.7 | step: 42480 epoch: 223 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 2:27:50.8 | step: 42490 epoch: 223 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.050 | time: 2:27:59.3 | step: 42500 epoch: 223 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:28:07.8 | step: 42510 epoch: 223 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:28:16.3 | step: 42520 epoch: 224 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 2:28:24.3 | step: 42530 epoch: 224 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:28:32.8 | step: 42540 epoch: 224 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:28:41.3 | step: 42550 epoch: 224 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:28:49.8 | step: 42560 epoch: 224 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:28:58.3 | step: 42570 epoch: 225 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.016 | time: 2:29:06.4 | step: 42580 epoch: 225 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:29:14.9 | step: 42590 epoch: 225 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:29:23.4 | step: 42600 epoch: 225 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:29:31.9 | step: 42610 epoch: 225 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 2:29:40.4 | step: 42620 epoch: 226 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.033 | time: 2:29:48.5 | step: 42630 epoch: 226 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 2:29:56.9 | step: 42640 epoch: 226 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:30:05.4 | step: 42650 epoch: 226 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:30:13.9 | step: 42660 epoch: 227 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 2:30:21.9 | step: 42670 epoch: 227 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:30:30.4 | step: 42680 epoch: 227 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:30:38.9 | step: 42690 epoch: 227 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 2:30:47.4 | step: 42700 epoch: 227 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 2:30:55.9 | step: 42710 epoch: 228 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 2:31:03.9 | step: 42720 epoch: 228 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.051 | time: 2:31:12.4 | step: 42730 epoch: 228 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:31:20.9 | step: 42740 epoch: 228 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:31:29.4 | step: 42750 epoch: 228 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:31:37.9 | step: 42760 epoch: 229 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 2:31:46.0 | step: 42770 epoch: 229 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:31:54.4 | step: 42780 epoch: 229 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:32:02.9 | step: 42790 epoch: 229 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 2:32:11.4 | step: 42800 epoch: 229 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.022 | time: 2:32:19.5 | step: 42810 epoch: 230 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.006 | time: 2:32:28.1 | step: 42820 epoch: 230 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 2:32:36.6 | step: 42830 epoch: 230 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:32:45.1 | step: 42840 epoch: 230 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 2:32:53.6 | step: 42850 epoch: 231 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 2:33:01.7 | step: 42860 epoch: 231 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:33:10.2 | step: 42870 epoch: 231 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:33:18.7 | step: 42880 epoch: 231 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 2:33:27.2 | step: 42890 epoch: 231 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.005 | time: 2:33:35.7 | step: 42900 epoch: 232 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 2:33:43.8 | step: 42910 epoch: 232 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 2:33:52.3 | step: 42920 epoch: 232 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:34:00.8 | step: 42930 epoch: 232 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.048 | time: 2:34:09.3 | step: 42940 epoch: 232 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.047 | time: 2:34:17.8 | step: 42950 epoch: 233 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.033 | time: 2:34:25.8 | step: 42960 epoch: 233 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:34:34.3 | step: 42970 epoch: 233 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.041 | time: 2:34:42.8 | step: 42980 epoch: 233 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:34:51.3 | step: 42990 epoch: 234 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.005 | time: 2:34:59.4 | step: 43000 epoch: 234 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 2:35:07.9 | step: 43010 epoch: 234 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:35:16.4 | step: 43020 epoch: 234 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:35:24.9 | step: 43030 epoch: 234 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:35:33.4 | step: 43040 epoch: 235 | 4/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.006 | time: 2:35:41.4 | step: 43050 epoch: 235 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:35:49.9 | step: 43060 epoch: 235 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.045 | time: 2:35:58.4 | step: 43070 epoch: 235 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:36:06.9 | step: 43080 epoch: 235 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:36:15.4 | step: 43090 epoch: 236 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 2:36:23.5 | step: 43100 epoch: 236 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:36:32.0 | step: 43110 epoch: 236 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 2:36:40.5 | step: 43120 epoch: 236 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:36:48.9 | step: 43130 epoch: 237 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 2:36:57.0 | step: 43140 epoch: 237 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:37:05.5 | step: 43150 epoch: 237 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 2:37:14.0 | step: 43160 epoch: 237 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:37:22.5 | step: 43170 epoch: 237 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 2:37:31.0 | step: 43180 epoch: 238 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 2:37:39.1 | step: 43190 epoch: 238 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:37:47.6 | step: 43200 epoch: 238 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:37:56.0 | step: 43210 epoch: 238 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:38:04.5 | step: 43220 epoch: 238 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:38:13.0 | step: 43230 epoch: 239 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.009 | time: 2:38:21.1 | step: 43240 epoch: 239 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:38:29.6 | step: 43250 epoch: 239 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:38:38.1 | step: 43260 epoch: 239 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:38:46.6 | step: 43270 epoch: 239 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 2:38:54.6 | step: 43280 epoch: 240 | 9/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.026 | time: 2:39:03.3 | step: 43290 epoch: 240 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.037 | time: 2:39:11.8 | step: 43300 epoch: 240 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 2:39:20.3 | step: 43310 epoch: 240 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:39:28.8 | step: 43320 epoch: 241 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.037 | time: 2:39:36.9 | step: 43330 epoch: 241 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:39:45.3 | step: 43340 epoch: 241 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 2:39:53.8 | step: 43350 epoch: 241 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 2:40:02.3 | step: 43360 epoch: 241 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:40:10.8 | step: 43370 epoch: 242 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 2:40:18.9 | step: 43380 epoch: 242 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:40:27.4 | step: 43390 epoch: 242 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:40:35.9 | step: 43400 epoch: 242 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:40:44.3 | step: 43410 epoch: 242 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 2:40:52.8 | step: 43420 epoch: 243 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 2:41:00.9 | step: 43430 epoch: 243 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:41:09.4 | step: 43440 epoch: 243 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:41:17.9 | step: 43450 epoch: 243 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:41:26.3 | step: 43460 epoch: 244 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.027 | time: 2:41:34.4 | step: 43470 epoch: 244 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:41:42.9 | step: 43480 epoch: 244 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.003 | time: 2:41:51.4 | step: 43490 epoch: 244 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:41:59.9 | step: 43500 epoch: 244 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:42:08.3 | step: 43510 epoch: 245 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.037 | time: 2:42:16.4 | step: 43520 epoch: 245 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 2:42:24.9 | step: 43530 epoch: 245 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.045 | time: 2:42:33.4 | step: 43540 epoch: 245 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:42:41.8 | step: 43550 epoch: 245 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:42:50.3 | step: 43560 epoch: 246 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 2:42:58.4 | step: 43570 epoch: 246 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:43:06.9 | step: 43580 epoch: 246 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:43:15.4 | step: 43590 epoch: 246 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 2:43:23.9 | step: 43600 epoch: 247 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 2:43:32.0 | step: 43610 epoch: 247 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:43:40.4 | step: 43620 epoch: 247 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:43:48.9 | step: 43630 epoch: 247 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:43:57.4 | step: 43640 epoch: 247 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:44:05.9 | step: 43650 epoch: 248 | 3/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.023 | time: 2:44:14.0 | step: 43660 epoch: 248 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:44:22.5 | step: 43670 epoch: 248 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:44:31.0 | step: 43680 epoch: 248 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:44:39.5 | step: 43690 epoch: 248 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:44:48.0 | step: 43700 epoch: 249 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 2:44:56.0 | step: 43710 epoch: 249 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:45:04.5 | step: 43720 epoch: 249 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:45:13.0 | step: 43730 epoch: 249 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:45:21.5 | step: 43740 epoch: 249 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 2:45:29.6 | step: 43750 epoch: 250 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.031 | time: 2:45:38.1 | step: 43760 epoch: 250 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:45:46.6 | step: 43770 epoch: 250 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:45:55.1 | step: 43780 epoch: 250 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 2:46:03.6 | step: 43790 epoch: 251 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.030 | time: 2:46:11.7 | step: 43800 epoch: 251 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 2:46:20.2 | step: 43810 epoch: 251 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:46:28.7 | step: 43820 epoch: 251 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:46:37.2 | step: 43830 epoch: 251 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.029 | time: 2:46:45.6 | step: 43840 epoch: 252 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.040 | time: 2:46:53.7 | step: 43850 epoch: 252 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:47:02.2 | step: 43860 epoch: 252 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:47:10.7 | step: 43870 epoch: 252 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.049 | time: 2:47:19.2 | step: 43880 epoch: 252 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:47:27.7 | step: 43890 epoch: 253 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.029 | time: 2:47:35.8 | step: 43900 epoch: 253 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.004 | time: 2:47:44.2 | step: 43910 epoch: 253 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:47:52.7 | step: 43920 epoch: 253 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:48:01.2 | step: 43930 epoch: 254 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.028 | time: 2:48:09.3 | step: 43940 epoch: 254 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 2:48:17.8 | step: 43950 epoch: 254 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:48:26.3 | step: 43960 epoch: 254 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:48:34.8 | step: 43970 epoch: 254 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:48:43.3 | step: 43980 epoch: 255 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.021 | time: 2:48:51.3 | step: 43990 epoch: 255 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:48:59.8 | step: 44000 epoch: 255 | 24/ 47 | logs/44k/diffusion | batch/s: 0.60 | lr: 0.0002 | loss: 0.026 | time: 2:49:16.4 | step: 44010 epoch: 255 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.046 | time: 2:49:24.9 | step: 44020 epoch: 255 | 44/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.039 | time: 2:49:33.5 | step: 44030 epoch: 256 | 7/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.031 | time: 2:49:41.7 | step: 44040 epoch: 256 | 17/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 2:49:50.3 | step: 44050 epoch: 256 | 27/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 2:49:58.8 | step: 44060 epoch: 256 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:50:07.3 | step: 44070 epoch: 257 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.004 | time: 2:50:15.3 | step: 44080 epoch: 257 | 10/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.004 | time: 2:50:23.7 | step: 44090 epoch: 257 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:50:32.2 | step: 44100 epoch: 257 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:50:40.7 | step: 44110 epoch: 257 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:50:49.1 | step: 44120 epoch: 258 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.002 | time: 2:50:57.2 | step: 44130 epoch: 258 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:51:05.7 | step: 44140 epoch: 258 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:51:14.2 | step: 44150 epoch: 258 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 2:51:22.7 | step: 44160 epoch: 258 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 2:51:31.2 | step: 44170 epoch: 259 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.020 | time: 2:51:39.3 | step: 44180 epoch: 259 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:51:47.8 | step: 44190 epoch: 259 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:51:56.3 | step: 44200 epoch: 259 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:52:04.8 | step: 44210 epoch: 259 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 2:52:12.9 | step: 44220 epoch: 260 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 2:52:21.4 | step: 44230 epoch: 260 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:52:29.9 | step: 44240 epoch: 260 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:52:38.4 | step: 44250 epoch: 260 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 2:52:46.9 | step: 44260 epoch: 261 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.025 | time: 2:52:55.0 | step: 44270 epoch: 261 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:53:03.5 | step: 44280 epoch: 261 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:53:12.0 | step: 44290 epoch: 261 | 32/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 2:53:20.5 | step: 44300 epoch: 261 | 42/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.032 | time: 2:53:29.0 | step: 44310 epoch: 262 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 2:53:37.1 | step: 44320 epoch: 262 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 2:53:45.5 | step: 44330 epoch: 262 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 2:53:54.0 | step: 44340 epoch: 262 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 2:54:02.5 | step: 44350 epoch: 262 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:54:11.0 | step: 44360 epoch: 263 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 2:54:19.1 | step: 44370 epoch: 263 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:54:27.6 | step: 44380 epoch: 263 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:54:36.1 | step: 44390 epoch: 263 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:54:44.6 | step: 44400 epoch: 264 | 1/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.037 | time: 2:54:52.7 | step: 44410 epoch: 264 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 2:55:01.2 | step: 44420 epoch: 264 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.019 | time: 2:55:09.7 | step: 44430 epoch: 264 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:55:18.1 | step: 44440 epoch: 264 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:55:26.6 | step: 44450 epoch: 265 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.031 | time: 2:55:34.7 | step: 44460 epoch: 265 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.043 | time: 2:55:43.2 | step: 44470 epoch: 265 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.038 | time: 2:55:51.7 | step: 44480 epoch: 265 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:56:00.1 | step: 44490 epoch: 265 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 2:56:08.6 | step: 44500 epoch: 266 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.024 | time: 2:56:16.7 | step: 44510 epoch: 266 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:56:25.2 | step: 44520 epoch: 266 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 2:56:33.7 | step: 44530 epoch: 266 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:56:42.2 | step: 44540 epoch: 267 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 2:56:50.3 | step: 44550 epoch: 267 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 2:56:58.8 | step: 44560 epoch: 267 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:57:07.3 | step: 44570 epoch: 267 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:57:15.8 | step: 44580 epoch: 267 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 2:57:24.3 | step: 44590 epoch: 268 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 2:57:32.3 | step: 44600 epoch: 268 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 2:57:40.8 | step: 44610 epoch: 268 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 2:57:49.3 | step: 44620 epoch: 268 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 2:57:57.8 | step: 44630 epoch: 268 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 2:58:06.3 | step: 44640 epoch: 269 | 6/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 2:58:14.4 | step: 44650 epoch: 269 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 2:58:22.9 | step: 44660 epoch: 269 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 2:58:31.4 | step: 44670 epoch: 269 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 2:58:39.9 | step: 44680 epoch: 269 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.005 | time: 2:58:47.9 | step: 44690 epoch: 270 | 9/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.032 | time: 2:58:56.6 | step: 44700 epoch: 270 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 2:59:05.1 | step: 44710 epoch: 270 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 2:59:13.6 | step: 44720 epoch: 270 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 2:59:22.0 | step: 44730 epoch: 271 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 2:59:30.1 | step: 44740 epoch: 271 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.037 | time: 2:59:38.6 | step: 44750 epoch: 271 | 22/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 2:59:47.1 | step: 44760 epoch: 271 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 2:59:55.6 | step: 44770 epoch: 271 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.032 | time: 3:00:04.1 | step: 44780 epoch: 272 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.016 | time: 3:00:12.2 | step: 44790 epoch: 272 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.024 | time: 3:00:20.7 | step: 44800 epoch: 272 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.012 | time: 3:00:29.2 | step: 44810 epoch: 272 | 35/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 3:00:37.7 | step: 44820 epoch: 272 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 3:00:46.3 | step: 44830 epoch: 273 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.008 | time: 3:00:54.4 | step: 44840 epoch: 273 | 18/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.003 | time: 3:01:02.9 | step: 44850 epoch: 273 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:01:11.4 | step: 44860 epoch: 273 | 38/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 3:01:19.9 | step: 44870 epoch: 274 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.018 | time: 3:01:28.0 | step: 44880 epoch: 274 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 3:01:36.5 | step: 44890 epoch: 274 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 3:01:45.0 | step: 44900 epoch: 274 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:01:53.4 | step: 44910 epoch: 274 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.024 | time: 3:02:01.9 | step: 44920 epoch: 275 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.022 | time: 3:02:10.0 | step: 44930 epoch: 275 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 3:02:18.5 | step: 44940 epoch: 275 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 3:02:27.0 | step: 44950 epoch: 275 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.008 | time: 3:02:35.4 | step: 44960 epoch: 275 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:02:43.9 | step: 44970 epoch: 276 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.006 | time: 3:02:52.0 | step: 44980 epoch: 276 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 3:03:00.5 | step: 44990 epoch: 276 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:03:09.0 | step: 45000 epoch: 276 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 3:03:17.5 | step: 45010 epoch: 277 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.011 | time: 3:03:25.6 | step: 45020 epoch: 277 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 3:03:34.1 | step: 45030 epoch: 277 | 20/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 3:03:42.6 | step: 45040 epoch: 277 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 3:03:51.1 | step: 45050 epoch: 277 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 3:03:59.5 | step: 45060 epoch: 278 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.008 | time: 3:04:07.7 | step: 45070 epoch: 278 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.015 | time: 3:04:16.2 | step: 45080 epoch: 278 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 3:04:24.7 | step: 45090 epoch: 278 | 33/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 3:04:33.2 | step: 45100 epoch: 278 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 3:04:41.7 | step: 45110 epoch: 279 | 6/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.011 | time: 3:04:49.8 | step: 45120 epoch: 279 | 16/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.017 | time: 3:04:58.3 | step: 45130 epoch: 279 | 26/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:05:06.8 | step: 45140 epoch: 279 | 36/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.013 | time: 3:05:15.3 | step: 45150 epoch: 279 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.020 | time: 3:05:23.4 | step: 45160 epoch: 280 | 9/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.004 | time: 3:05:32.0 | step: 45170 epoch: 280 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 3:05:40.5 | step: 45180 epoch: 280 | 29/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.008 | time: 3:05:49.0 | step: 45190 epoch: 280 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.039 | time: 3:05:57.5 | step: 45200 epoch: 281 | 2/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.008 | time: 3:06:05.6 | step: 45210 epoch: 281 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 3:06:14.1 | step: 45220 epoch: 281 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.040 | time: 3:06:22.6 | step: 45230 epoch: 281 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:06:31.2 | step: 45240 epoch: 281 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 3:06:39.7 | step: 45250 epoch: 282 | 5/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.005 | time: 3:06:47.8 | step: 45260 epoch: 282 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 3:06:56.3 | step: 45270 epoch: 282 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:07:04.8 | step: 45280 epoch: 282 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 3:07:13.3 | step: 45290 epoch: 282 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.027 | time: 3:07:21.8 | step: 45300 epoch: 283 | 8/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 3:07:29.9 | step: 45310 epoch: 283 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:07:38.3 | step: 45320 epoch: 283 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:07:46.8 | step: 45330 epoch: 283 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 3:07:55.3 | step: 45340 epoch: 284 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.007 | time: 3:08:03.4 | step: 45350 epoch: 284 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 3:08:11.9 | step: 45360 epoch: 284 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 3:08:20.4 | step: 45370 epoch: 284 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.025 | time: 3:08:28.9 | step: 45380 epoch: 284 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 3:08:37.4 | step: 45390 epoch: 285 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.023 | time: 3:08:45.4 | step: 45400 epoch: 285 | 14/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 3:08:53.9 | step: 45410 epoch: 285 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.022 | time: 3:09:02.4 | step: 45420 epoch: 285 | 34/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 3:09:10.9 | step: 45430 epoch: 285 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.014 | time: 3:09:19.4 | step: 45440 epoch: 286 | 7/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 3:09:27.4 | step: 45450 epoch: 286 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 3:09:35.9 | step: 45460 epoch: 286 | 27/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 3:09:44.4 | step: 45470 epoch: 286 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.123 | time: 3:09:52.9 | step: 45480 epoch: 287 | 0/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.136 | time: 3:10:01.0 | step: 45490 epoch: 287 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.057 | time: 3:10:09.5 | step: 45500 epoch: 287 | 20/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.040 | time: 3:10:18.0 | step: 45510 epoch: 287 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.035 | time: 3:10:26.5 | step: 45520 epoch: 287 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.034 | time: 3:10:35.0 | step: 45530 epoch: 288 | 3/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.026 | time: 3:10:43.1 | step: 45540 epoch: 288 | 13/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.023 | time: 3:10:51.6 | step: 45550 epoch: 288 | 23/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 3:11:00.1 | step: 45560 epoch: 288 | 33/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 3:11:08.6 | step: 45570 epoch: 288 | 43/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.009 | time: 3:11:17.1 | step: 45580 epoch: 289 | 6/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.024 | time: 3:11:25.2 | step: 45590 epoch: 289 | 16/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 3:11:33.7 | step: 45600 epoch: 289 | 26/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 3:11:42.2 | step: 45610 epoch: 289 | 36/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.033 | time: 3:11:50.7 | step: 45620 epoch: 289 | 46/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 3:11:58.8 | step: 45630 epoch: 290 | 9/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.014 | time: 3:12:07.3 | step: 45640 epoch: 290 | 19/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 3:12:15.8 | step: 45650 epoch: 290 | 29/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.030 | time: 3:12:24.3 | step: 45660 epoch: 290 | 39/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.016 | time: 3:12:32.8 | step: 45670 epoch: 291 | 2/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.017 | time: 3:12:40.9 | step: 45680 epoch: 291 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 3:12:49.4 | step: 45690 epoch: 291 | 22/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.007 | time: 3:12:57.9 | step: 45700 epoch: 291 | 32/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.031 | time: 3:13:06.4 | step: 45710 epoch: 291 | 42/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 3:13:14.9 | step: 45720 epoch: 292 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.010 | time: 3:13:23.0 | step: 45730 epoch: 292 | 15/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 3:13:31.5 | step: 45740 epoch: 292 | 25/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.010 | time: 3:13:40.0 | step: 45750 epoch: 292 | 35/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:13:48.5 | step: 45760 epoch: 292 | 45/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 3:13:57.0 | step: 45770 epoch: 293 | 8/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.032 | time: 3:14:05.1 | step: 45780 epoch: 293 | 18/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.005 | time: 3:14:13.6 | step: 45790 epoch: 293 | 28/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.018 | time: 3:14:22.0 | step: 45800 epoch: 293 | 38/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 3:14:30.5 | step: 45810 epoch: 294 | 1/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.013 | time: 3:14:38.6 | step: 45820 epoch: 294 | 11/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.017 | time: 3:14:47.1 | step: 45830 epoch: 294 | 21/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.021 | time: 3:14:55.6 | step: 45840 epoch: 294 | 31/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.006 | time: 3:15:04.1 | step: 45850 epoch: 294 | 41/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.007 | time: 3:15:12.6 | step: 45860 epoch: 295 | 4/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.014 | time: 3:15:20.7 | step: 45870 epoch: 295 | 14/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.009 | time: 3:15:29.2 | step: 45880 epoch: 295 | 24/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.028 | time: 3:15:37.7 | step: 45890 epoch: 295 | 34/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.020 | time: 3:15:46.2 | step: 45900 epoch: 295 | 44/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.042 | time: 3:15:54.7 | step: 45910 epoch: 296 | 7/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.027 | time: 3:16:02.8 | step: 45920 epoch: 296 | 17/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 3:16:11.4 | step: 45930 epoch: 296 | 27/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.012 | time: 3:16:19.9 | step: 45940 epoch: 296 | 37/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.026 | time: 3:16:28.4 | step: 45950 epoch: 297 | 0/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.028 | time: 3:16:36.5 | step: 45960 epoch: 297 | 10/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.044 | time: 3:16:45.0 | step: 45970 epoch: 297 | 20/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.037 | time: 3:16:53.5 | step: 45980 epoch: 297 | 30/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.052 | time: 3:17:02.0 | step: 45990 epoch: 297 | 40/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 3:17:10.5 | step: 46000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.61 | lr: 0.0002 | loss: 0.024 | time: 0:00:16.8 | step: 46010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.27 | lr: 0.0002 | loss: 0.018 | time: 0:00:24.7 | step: 46020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.26 | lr: 0.0002 | loss: 0.011 | time: 0:00:32.6 | step: 46030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.012 | time: 0:00:40.7 | step: 46040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.28 | lr: 0.0002 | loss: 0.024 | time: 0:00:48.5 | step: 46050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.018 | time: 0:00:56.6 | step: 46060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.020 | time: 0:01:04.8 | step: 46070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.012 | time: 0:01:13.1 | step: 46080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.033 | time: 0:01:21.4 | step: 46090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.24 | lr: 0.0002 | loss: 0.015 | time: 0:01:29.5 | step: 46100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.020 | time: 0:01:38.0 | step: 46110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.026 | time: 0:01:46.5 | step: 46120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.008 | time: 0:01:55.2 | step: 46130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.022 | time: 0:02:03.9 | step: 46140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 0:02:12.2 | step: 46150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:02:21.0 | step: 46160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:02:29.9 | step: 46170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:02:38.8 | step: 46180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 0:02:47.3 | step: 46190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:02:56.1 | step: 46200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:03:04.9 | step: 46210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:03:13.7 | step: 46220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:03:22.4 | step: 46230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:03:30.8 | step: 46240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:03:39.6 | step: 46250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 0:03:48.3 | step: 46260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:03:57.1 | step: 46270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:04:05.9 | step: 46280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 0:04:14.2 | step: 46290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:04:23.0 | step: 46300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:04:31.8 | step: 46310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:04:40.5 | step: 46320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 0:04:48.9 | step: 46330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:04:57.6 | step: 46340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:05:06.4 | step: 46350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:05:15.2 | step: 46360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:05:24.0 | step: 46370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 0:05:32.4 | step: 46380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.036 | time: 0:05:41.2 | step: 46390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.016 | time: 0:05:50.0 | step: 46400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 0:05:58.9 | step: 46410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:06:07.7 | step: 46420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 0:06:16.0 | step: 46430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.028 | time: 0:06:24.8 | step: 46440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:06:33.5 | step: 46450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:06:42.3 | step: 46460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 0:06:50.7 | step: 46470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:06:59.6 | step: 46480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:07:08.5 | step: 46490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:07:17.3 | step: 46500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:07:26.1 | step: 46510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 0:07:34.4 | step: 46520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:07:43.2 | step: 46530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.017 | time: 0:07:51.9 | step: 46540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:08:00.7 | step: 46550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:08:09.5 | step: 46560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 0:08:17.9 | step: 46570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.006 | time: 0:08:26.7 | step: 46580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:08:35.5 | step: 46590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:08:44.3 | step: 46600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:08:53.1 | step: 46610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:09:01.5 | step: 46620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:09:10.3 | step: 46630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:09:19.0 | step: 46640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:09:27.8 | step: 46650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 0:09:36.1 | step: 46660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:09:44.9 | step: 46670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:09:53.7 | step: 46680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:10:02.5 | step: 46690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:10:11.3 | step: 46700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.029 | time: 0:10:19.7 | step: 46710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:10:28.5 | step: 46720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:10:37.3 | step: 46730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:10:46.1 | step: 46740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:10:54.9 | step: 46750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:11:03.2 | step: 46760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:11:12.0 | step: 46770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 0:11:20.8 | step: 46780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.018 | time: 0:11:29.7 | step: 46790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.024 | time: 0:11:38.1 | step: 46800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:11:46.9 | step: 46810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:11:55.7 | step: 46820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:12:04.5 | step: 46830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:12:13.3 | step: 46840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.035 | time: 0:12:21.7 | step: 46850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:12:30.5 | step: 46860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:12:39.3 | step: 46870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:12:48.1 | step: 46880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:12:56.8 | step: 46890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.023 | time: 0:13:05.2 | step: 46900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:13:13.9 | step: 46910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:13:22.7 | step: 46920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:13:31.5 | step: 46930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:13:39.8 | step: 46940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.014 | time: 0:13:48.7 | step: 46950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:13:57.5 | step: 46960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 0:14:06.3 | step: 46970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.023 | time: 0:14:15.1 | step: 46980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.036 | time: 0:14:23.5 | step: 46990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:14:32.3 | step: 47000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.050 | time: 0:14:41.1 | step: 47010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:14:49.9 | step: 47020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:14:58.7 | step: 47030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.004 | time: 0:15:07.1 | step: 47040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.049 | time: 0:15:15.9 | step: 47050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:15:24.7 | step: 47060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:15:33.5 | step: 47070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:15:42.3 | step: 47080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 0:15:50.6 | step: 47090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:15:59.4 | step: 47100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:16:08.2 | step: 47110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:16:16.9 | step: 47120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:16:25.3 | step: 47130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:16:34.0 | step: 47140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:16:42.8 | step: 47150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:16:51.5 | step: 47160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:17:00.3 | step: 47170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:17:08.7 | step: 47180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:17:17.5 | step: 47190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:17:26.3 | step: 47200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:17:35.0 | step: 47210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:17:43.8 | step: 47220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.041 | time: 0:17:52.2 | step: 47230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:18:01.0 | step: 47240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:18:09.8 | step: 47250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:18:18.6 | step: 47260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 0:18:27.0 | step: 47270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:18:35.8 | step: 47280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:18:44.6 | step: 47290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:18:53.4 | step: 47300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:19:02.2 | step: 47310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 0:19:10.6 | step: 47320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 0:19:19.4 | step: 47330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:19:28.2 | step: 47340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:19:37.0 | step: 47350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 0:19:45.8 | step: 47360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.003 | time: 0:19:54.1 | step: 47370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:20:03.0 | step: 47380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:20:11.8 | step: 47390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:20:20.6 | step: 47400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 0:20:29.0 | step: 47410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 0:20:37.8 | step: 47420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:20:46.7 | step: 47430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:20:55.5 | step: 47440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:21:04.3 | step: 47450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 0:21:12.6 | step: 47460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:21:21.4 | step: 47470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:21:30.2 | step: 47480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:21:39.0 | step: 47490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.012 | time: 0:21:47.7 | step: 47500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.023 | time: 0:21:56.1 | step: 47510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.037 | time: 0:22:04.8 | step: 47520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:22:13.6 | step: 47530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:22:22.4 | step: 47540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.020 | time: 0:22:31.2 | step: 47550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.033 | time: 0:22:39.6 | step: 47560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:22:48.4 | step: 47570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:22:57.1 | step: 47580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:23:05.9 | step: 47590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:23:14.2 | step: 47600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:23:23.0 | step: 47610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:23:31.8 | step: 47620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:23:40.6 | step: 47630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.017 | time: 0:23:49.4 | step: 47640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.018 | time: 0:23:57.8 | step: 47650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:24:06.6 | step: 47660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:24:15.4 | step: 47670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:24:24.3 | step: 47680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 0:24:33.1 | step: 47690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.021 | time: 0:24:41.5 | step: 47700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.022 | time: 0:24:50.3 | step: 47710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:24:59.1 | step: 47720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:25:07.9 | step: 47730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:25:16.3 | step: 47740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:25:25.1 | step: 47750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:25:34.0 | step: 47760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:25:42.8 | step: 47770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.046 | time: 0:25:51.6 | step: 47780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:26:00.0 | step: 47790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:26:08.7 | step: 47800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:26:17.4 | step: 47810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:26:26.2 | step: 47820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:26:35.0 | step: 47830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 0:26:43.4 | step: 47840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.003 | time: 0:26:52.2 | step: 47850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:27:01.0 | step: 47860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:27:09.8 | step: 47870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:27:18.2 | step: 47880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.005 | time: 0:27:27.1 | step: 47890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:27:35.9 | step: 47900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:27:44.7 | step: 47910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:27:53.5 | step: 47920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.028 | time: 0:28:01.8 | step: 47930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:28:10.6 | step: 47940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:28:19.4 | step: 47950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 0:28:28.2 | step: 47960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:28:37.0 | step: 47970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.020 | time: 0:28:45.4 | step: 47980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 0:28:54.2 | step: 47990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:29:03.0 | step: 48000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.65 | lr: 0.0002 | loss: 0.020 | time: 0:00:15.9 | step: 48010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.012 | time: 0:00:23.9 | step: 48020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.031 | time: 0:00:32.1 | step: 48030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.016 | time: 0:00:40.3 | step: 48040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.009 | time: 0:00:48.3 | step: 48050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.013 | time: 0:00:56.8 | step: 48060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.010 | time: 0:01:05.5 | step: 48070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.029 | time: 0:01:14.3 | step: 48080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.013 | time: 0:01:23.4 | step: 48090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 0:01:32.1 | step: 48100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.032 | time: 0:01:41.1 | step: 48110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:01:49.8 | step: 48120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.047 | time: 0:01:58.5 | step: 48130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:02:07.2 | step: 48140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.012 | time: 0:02:15.5 | step: 48150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 0:02:24.2 | step: 48160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 0:02:32.9 | step: 48170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:02:41.7 | step: 48180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 0:02:50.1 | step: 48190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.032 | time: 0:02:58.9 | step: 48200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.019 | time: 0:03:07.7 | step: 48210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:03:16.5 | step: 48220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:03:25.3 | step: 48230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.029 | time: 0:03:33.7 | step: 48240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:03:42.4 | step: 48250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:03:51.2 | step: 48260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:03:59.9 | step: 48270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:04:08.6 | step: 48280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:04:17.0 | step: 48290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:04:25.7 | step: 48300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:04:34.4 | step: 48310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:04:43.2 | step: 48320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:04:51.5 | step: 48330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:05:00.3 | step: 48340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:05:09.0 | step: 48350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:05:17.8 | step: 48360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:05:26.5 | step: 48370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.031 | time: 0:05:34.9 | step: 48380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:05:43.6 | step: 48390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:05:52.4 | step: 48400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:06:01.2 | step: 48410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:06:10.0 | step: 48420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:06:18.3 | step: 48430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.031 | time: 0:06:27.1 | step: 48440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:06:35.9 | step: 48450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:06:44.7 | step: 48460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.012 | time: 0:06:53.0 | step: 48470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.034 | time: 0:07:01.9 | step: 48480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:07:10.7 | step: 48490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:07:19.5 | step: 48500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:07:28.3 | step: 48510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 0:07:36.7 | step: 48520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:07:45.5 | step: 48530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:07:54.3 | step: 48540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:08:03.1 | step: 48550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:08:11.8 | step: 48560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 0:08:20.2 | step: 48570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:08:29.0 | step: 48580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:08:37.8 | step: 48590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:08:46.6 | step: 48600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:08:55.3 | step: 48610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:09:03.7 | step: 48620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:09:12.5 | step: 48630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:09:21.3 | step: 48640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:09:30.0 | step: 48650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:09:38.4 | step: 48660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:09:47.2 | step: 48670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:09:55.9 | step: 48680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.045 | time: 0:10:04.7 | step: 48690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:10:13.4 | step: 48700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 0:10:21.8 | step: 48710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:10:30.5 | step: 48720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:10:39.3 | step: 48730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:10:48.0 | step: 48740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.020 | time: 0:10:56.7 | step: 48750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 0:11:05.1 | step: 48760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:11:13.8 | step: 48770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:11:22.6 | step: 48780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:11:31.3 | step: 48790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.040 | time: 0:11:39.6 | step: 48800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:11:48.3 | step: 48810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 0:11:57.1 | step: 48820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:12:05.8 | step: 48830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 0:12:14.5 | step: 48840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:12:22.8 | step: 48850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:12:31.6 | step: 48860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:12:40.3 | step: 48870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:12:49.1 | step: 48880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:12:57.8 | step: 48890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:13:06.2 | step: 48900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:13:14.9 | step: 48910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:13:23.7 | step: 48920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:13:32.4 | step: 48930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.016 | time: 0:13:40.7 | step: 48940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.025 | time: 0:13:49.6 | step: 48950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:13:58.3 | step: 48960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:14:07.1 | step: 48970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:14:15.9 | step: 48980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 0:14:24.2 | step: 48990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:14:33.0 | step: 49000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:14:41.7 | step: 49010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:14:50.5 | step: 49020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:14:59.2 | step: 49030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 0:15:07.5 | step: 49040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:15:16.3 | step: 49050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:15:25.0 | step: 49060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:15:33.8 | step: 49070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:15:42.6 | step: 49080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.027 | time: 0:15:50.9 | step: 49090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:15:59.6 | step: 49100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:16:08.4 | step: 49110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:16:17.1 | step: 49120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:16:25.5 | step: 49130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 0:16:34.2 | step: 49140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:16:43.0 | step: 49150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:16:51.7 | step: 49160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:17:00.4 | step: 49170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.041 | time: 0:17:08.8 | step: 49180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:17:17.5 | step: 49190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 0:17:26.3 | step: 49200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.022 | time: 0:17:35.0 | step: 49210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:17:43.7 | step: 49220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.006 | time: 0:17:52.0 | step: 49230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:18:00.8 | step: 49240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:18:09.5 | step: 49250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:18:18.2 | step: 49260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:18:26.6 | step: 49270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:18:35.3 | step: 49280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:18:44.1 | step: 49290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:18:52.8 | step: 49300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:19:01.6 | step: 49310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.026 | time: 0:19:09.9 | step: 49320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:19:18.7 | step: 49330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:19:27.4 | step: 49340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 0:19:36.1 | step: 49350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:19:44.9 | step: 49360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.005 | time: 0:19:53.2 | step: 49370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:20:01.9 | step: 49380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:20:10.7 | step: 49390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:20:19.4 | step: 49400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.014 | time: 0:20:27.7 | step: 49410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.019 | time: 0:20:36.6 | step: 49420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:20:45.3 | step: 49430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:20:54.0 | step: 49440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:21:02.8 | step: 49450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:21:11.1 | step: 49460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:21:19.8 | step: 49470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:21:28.6 | step: 49480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:21:37.3 | step: 49490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 0:21:46.1 | step: 49500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.035 | time: 0:21:54.4 | step: 49510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:22:03.1 | step: 49520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.003 | time: 0:22:11.9 | step: 49530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:22:20.6 | step: 49540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:22:29.4 | step: 49550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 0:22:37.7 | step: 49560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:22:46.5 | step: 49570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:22:55.2 | step: 49580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:23:04.0 | step: 49590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.020 | time: 0:23:12.4 | step: 49600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:23:21.1 | step: 49610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:23:29.9 | step: 49620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:23:38.7 | step: 49630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 0:23:47.5 | step: 49640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:23:55.8 | step: 49650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:24:04.6 | step: 49660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:24:13.4 | step: 49670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:24:22.2 | step: 49680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:24:30.9 | step: 49690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 0:24:39.3 | step: 49700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:24:48.1 | step: 49710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:24:56.9 | step: 49720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:25:05.7 | step: 49730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.026 | time: 0:25:14.0 | step: 49740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:25:22.8 | step: 49750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:25:31.6 | step: 49760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:25:40.3 | step: 49770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:25:49.1 | step: 49780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 0:25:57.4 | step: 49790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:26:06.2 | step: 49800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:26:14.9 | step: 49810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:26:23.7 | step: 49820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 0:26:32.4 | step: 49830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:26:40.7 | step: 49840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:26:49.5 | step: 49850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.026 | time: 0:26:58.2 | step: 49860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:27:06.9 | step: 49870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.006 | time: 0:27:15.3 | step: 49880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.004 | time: 0:27:24.1 | step: 49890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:27:32.8 | step: 49900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:27:41.5 | step: 49910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:27:50.3 | step: 49920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.026 | time: 0:27:58.6 | step: 49930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:28:07.3 | step: 49940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 0:28:16.0 | step: 49950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:28:24.8 | step: 49960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:28:33.5 | step: 49970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:28:41.9 | step: 49980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 0:28:50.6 | step: 49990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.058 | time: 0:28:59.3 | step: 50000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.22 | lr: 0.0002 | loss: 0.029 | time: 0:29:45.1 | step: 50010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.011 | time: 0:29:54.0 | step: 50020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:30:02.9 | step: 50030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:30:12.1 | step: 50040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:30:21.0 | step: 50050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:30:29.8 | step: 50060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.009 | time: 0:30:38.1 | step: 50070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:30:46.8 | step: 50080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 0:30:55.5 | step: 50090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:31:04.2 | step: 50100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:31:12.9 | step: 50110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.052 | time: 0:31:21.3 | step: 50120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:31:30.1 | step: 50130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:31:38.9 | step: 50140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:31:47.7 | step: 50150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:31:56.5 | step: 50160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.036 | time: 0:32:04.8 | step: 50170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:32:13.5 | step: 50180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.040 | time: 0:32:22.3 | step: 50190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 0:32:31.0 | step: 50200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:32:39.3 | step: 50210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 0:32:48.0 | step: 50220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:32:56.8 | step: 50230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:33:05.5 | step: 50240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:33:14.3 | step: 50250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 0:33:22.6 | step: 50260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:33:31.3 | step: 50270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:33:40.1 | step: 50280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:33:48.8 | step: 50290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:33:57.5 | step: 50300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.020 | time: 0:34:05.8 | step: 50310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.047 | time: 0:34:14.6 | step: 50320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:34:23.4 | step: 50330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:34:32.2 | step: 50340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 0:34:40.6 | step: 50350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.024 | time: 0:34:49.4 | step: 50360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:34:58.2 | step: 50370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:35:07.0 | step: 50380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 0:35:15.8 | step: 50390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:35:24.1 | step: 50400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:35:32.9 | step: 50410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:35:41.6 | step: 50420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:35:50.4 | step: 50430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:35:59.1 | step: 50440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.011 | time: 0:36:07.4 | step: 50450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:36:16.2 | step: 50460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:36:24.9 | step: 50470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:36:33.7 | step: 50480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:36:42.4 | step: 50490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.025 | time: 0:36:50.8 | step: 50500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:36:59.5 | step: 50510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 0:37:08.2 | step: 50520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:37:17.0 | step: 50530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 0:37:25.3 | step: 50540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:37:34.1 | step: 50550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:37:42.8 | step: 50560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:37:51.6 | step: 50570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:38:00.3 | step: 50580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.004 | time: 0:38:08.7 | step: 50590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:38:17.4 | step: 50600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:38:26.2 | step: 50610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:38:34.9 | step: 50620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:38:43.7 | step: 50630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:38:52.0 | step: 50640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:39:00.8 | step: 50650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:39:09.5 | step: 50660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:39:18.3 | step: 50670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 0:39:26.6 | step: 50680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:39:35.4 | step: 50690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:39:44.2 | step: 50700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:39:52.9 | step: 50710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:40:01.7 | step: 50720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:40:10.1 | step: 50730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:40:18.8 | step: 50740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:40:27.6 | step: 50750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:40:36.4 | step: 50760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.002 | time: 0:40:45.2 | step: 50770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.038 | time: 0:40:53.5 | step: 50780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:41:02.3 | step: 50790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:41:11.1 | step: 50800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:41:19.9 | step: 50810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 0:41:28.2 | step: 50820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.045 | time: 0:41:37.1 | step: 50830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:41:45.9 | step: 50840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:41:54.7 | step: 50850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:42:03.4 | step: 50860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.023 | time: 0:42:11.8 | step: 50870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:42:20.6 | step: 50880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 0:42:29.4 | step: 50890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:42:38.1 | step: 50900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:42:46.9 | step: 50910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.022 | time: 0:42:55.3 | step: 50920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:43:04.1 | step: 50930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:43:12.8 | step: 50940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:43:21.6 | step: 50950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:43:30.4 | step: 50960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.029 | time: 0:43:38.8 | step: 50970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:43:47.6 | step: 50980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:43:56.3 | step: 50990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:44:05.1 | step: 51000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.009 | time: 0:44:13.5 | step: 51010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:44:22.3 | step: 51020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:44:31.1 | step: 51030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.025 | time: 0:44:39.9 | step: 51040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:44:48.7 | step: 51050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.008 | time: 0:44:57.0 | step: 51060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:45:05.8 | step: 51070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:45:14.6 | step: 51080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:45:23.4 | step: 51090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:45:32.2 | step: 51100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:45:40.6 | step: 51110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:45:49.4 | step: 51120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.012 | time: 0:45:58.2 | step: 51130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:46:07.0 | step: 51140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 0:46:15.4 | step: 51150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.064 | time: 0:46:24.2 | step: 51160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:46:32.9 | step: 51170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:46:41.7 | step: 51180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:46:50.5 | step: 51190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 0:46:58.8 | step: 51200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 0:47:07.6 | step: 51210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:47:16.3 | step: 51220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 0:47:25.1 | step: 51230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 0:47:33.8 | step: 51240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:47:42.1 | step: 51250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:47:50.8 | step: 51260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:47:59.5 | step: 51270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:48:08.3 | step: 51280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.022 | time: 0:48:16.6 | step: 51290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.055 | time: 0:48:25.4 | step: 51300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:48:34.1 | step: 51310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 0:48:42.8 | step: 51320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.038 | time: 0:48:51.6 | step: 51330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 0:48:59.9 | step: 51340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:49:08.6 | step: 51350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:49:17.4 | step: 51360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:49:26.1 | step: 51370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:49:34.9 | step: 51380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 0:49:43.2 | step: 51390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:49:52.0 | step: 51400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:50:00.7 | step: 51410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:50:09.5 | step: 51420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.048 | time: 0:50:18.2 | step: 51430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 0:50:26.5 | step: 51440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:50:35.3 | step: 51450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:50:44.0 | step: 51460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:50:52.8 | step: 51470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:51:01.2 | step: 51480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:51:09.9 | step: 51490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:51:18.7 | step: 51500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:51:27.5 | step: 51510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:51:36.2 | step: 51520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 0:51:44.6 | step: 51530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:51:53.3 | step: 51540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:52:02.1 | step: 51550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:52:10.8 | step: 51560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:52:19.6 | step: 51570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 0:52:27.9 | step: 51580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:52:36.7 | step: 51590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:52:45.5 | step: 51600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:52:54.2 | step: 51610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 0:53:02.6 | step: 51620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:53:11.3 | step: 51630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:53:20.1 | step: 51640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 0:53:28.8 | step: 51650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:53:37.5 | step: 51660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.039 | time: 0:53:45.9 | step: 51670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:53:54.6 | step: 51680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:54:03.3 | step: 51690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:54:12.1 | step: 51700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:54:20.8 | step: 51710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 0:54:29.2 | step: 51720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.020 | time: 0:54:37.9 | step: 51730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.022 | time: 0:54:46.6 | step: 51740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 0:54:55.3 | step: 51750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 0:55:03.6 | step: 51760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.007 | time: 0:55:12.5 | step: 51770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.036 | time: 0:55:21.2 | step: 51780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 0:55:29.9 | step: 51790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:55:38.7 | step: 51800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.026 | time: 0:55:47.0 | step: 51810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.044 | time: 0:55:55.8 | step: 51820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:56:04.6 | step: 51830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:56:13.4 | step: 51840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 0:56:22.2 | step: 51850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:56:30.5 | step: 51860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:56:39.3 | step: 51870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:56:48.1 | step: 51880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 0:56:56.8 | step: 51890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.050 | time: 0:57:05.5 | step: 51900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 0:57:13.9 | step: 51910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.027 | time: 0:57:22.6 | step: 51920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:57:31.3 | step: 51930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:57:40.1 | step: 51940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 0:57:48.4 | step: 51950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 0:57:57.1 | step: 51960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 0:58:05.8 | step: 51970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 0:58:14.6 | step: 51980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 0:58:23.3 | step: 51990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.013 | time: 0:58:31.6 | step: 52000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.28 | lr: 0.0002 | loss: 0.019 | time: 0:59:07.5 | step: 52010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.005 | time: 0:59:16.5 | step: 52020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.004 | time: 0:59:25.7 | step: 52030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:59:35.0 | step: 52040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 0:59:43.5 | step: 52050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:59:52.3 | step: 52060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.019 | time: 1:00:01.0 | step: 52070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 1:00:09.7 | step: 52080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.024 | time: 1:00:17.9 | step: 52090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 1:00:26.6 | step: 52100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 1:00:35.3 | step: 52110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:00:44.1 | step: 52120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:00:53.0 | step: 52130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.036 | time: 1:01:01.4 | step: 52140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:01:10.2 | step: 52150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:01:19.0 | step: 52160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:01:27.7 | step: 52170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 1:01:36.4 | step: 52180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.005 | time: 1:01:44.7 | step: 52190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 1:01:53.4 | step: 52200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 1:02:02.1 | step: 52210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.025 | time: 1:02:10.8 | step: 52220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.030 | time: 1:02:19.2 | step: 52230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.034 | time: 1:02:28.1 | step: 52240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:02:36.8 | step: 52250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 1:02:45.6 | step: 52260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:02:54.3 | step: 52270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.027 | time: 1:03:02.7 | step: 52280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:03:11.4 | step: 52290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:03:20.2 | step: 52300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:03:28.9 | step: 52310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:03:37.7 | step: 52320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.033 | time: 1:03:46.0 | step: 52330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:03:54.8 | step: 52340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:04:03.6 | step: 52350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:04:12.3 | step: 52360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 1:04:21.1 | step: 52370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.009 | time: 1:04:29.4 | step: 52380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:04:38.2 | step: 52390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:04:47.0 | step: 52400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:04:55.8 | step: 52410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.008 | time: 1:05:04.1 | step: 52420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:05:12.9 | step: 52430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:05:21.6 | step: 52440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:05:30.4 | step: 52450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:05:39.2 | step: 52460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 1:05:47.5 | step: 52470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 1:05:56.3 | step: 52480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 1:06:05.1 | step: 52490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:06:13.8 | step: 52500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:06:22.6 | step: 52510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.035 | time: 1:06:31.0 | step: 52520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:06:39.7 | step: 52530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:06:48.5 | step: 52540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:06:57.3 | step: 52550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.028 | time: 1:07:05.6 | step: 52560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:07:14.4 | step: 52570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.089 | time: 1:07:23.2 | step: 52580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 1:07:32.0 | step: 52590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:07:40.8 | step: 52600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 1:07:49.1 | step: 52610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:07:57.9 | step: 52620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:08:06.7 | step: 52630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:08:15.5 | step: 52640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:08:24.3 | step: 52650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.040 | time: 1:08:32.6 | step: 52660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:08:41.4 | step: 52670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:08:50.2 | step: 52680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 1:08:59.0 | step: 52690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 1:09:07.4 | step: 52700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.006 | time: 1:09:16.3 | step: 52710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:09:25.0 | step: 52720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:09:33.8 | step: 52730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:09:42.6 | step: 52740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:09:51.0 | step: 52750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:09:59.8 | step: 52760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:10:08.5 | step: 52770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:10:17.3 | step: 52780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:10:26.1 | step: 52790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.035 | time: 1:10:34.4 | step: 52800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.002 | time: 1:10:43.2 | step: 52810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:10:52.0 | step: 52820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:11:00.7 | step: 52830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:11:09.5 | step: 52840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.004 | time: 1:11:17.9 | step: 52850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:11:26.7 | step: 52860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:11:35.4 | step: 52870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:11:44.2 | step: 52880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.036 | time: 1:11:52.5 | step: 52890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:12:01.3 | step: 52900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:12:10.1 | step: 52910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:12:18.9 | step: 52920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:12:27.7 | step: 52930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 1:12:36.1 | step: 52940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:12:44.8 | step: 52950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:12:53.6 | step: 52960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:13:02.4 | step: 52970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:13:11.2 | step: 52980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.016 | time: 1:13:19.6 | step: 52990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:13:28.4 | step: 53000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:13:37.2 | step: 53010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:13:46.0 | step: 53020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.023 | time: 1:13:54.4 | step: 53030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:14:03.2 | step: 53040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:14:12.0 | step: 53050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:14:20.8 | step: 53060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:14:29.6 | step: 53070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.025 | time: 1:14:38.0 | step: 53080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:14:46.8 | step: 53090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:14:55.6 | step: 53100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 1:15:04.4 | step: 53110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:15:13.1 | step: 53120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.014 | time: 1:15:21.5 | step: 53130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.043 | time: 1:15:30.3 | step: 53140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:15:39.1 | step: 53150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:15:47.9 | step: 53160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 1:15:56.2 | step: 53170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.007 | time: 1:16:05.1 | step: 53180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:16:13.8 | step: 53190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:16:22.6 | step: 53200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 1:16:31.4 | step: 53210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 1:16:39.8 | step: 53220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:16:48.5 | step: 53230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:16:57.3 | step: 53240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:17:06.1 | step: 53250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:17:14.8 | step: 53260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.030 | time: 1:17:23.1 | step: 53270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 1:17:31.9 | step: 53280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 1:17:40.6 | step: 53290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.036 | time: 1:17:49.3 | step: 53300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 1:17:58.1 | step: 53310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.025 | time: 1:18:06.4 | step: 53320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:18:15.1 | step: 53330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:18:23.9 | step: 53340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 1:18:32.6 | step: 53350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.024 | time: 1:18:40.9 | step: 53360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 1:18:49.7 | step: 53370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:18:58.4 | step: 53380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.022 | time: 1:19:07.2 | step: 53390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:19:15.9 | step: 53400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.014 | time: 1:19:24.2 | step: 53410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:19:33.0 | step: 53420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 1:19:41.7 | step: 53430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 1:19:50.5 | step: 53440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:19:59.2 | step: 53450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 1:20:07.6 | step: 53460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:20:16.3 | step: 53470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:20:25.1 | step: 53480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:20:33.9 | step: 53490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:20:42.2 | step: 53500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:20:51.0 | step: 53510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:20:59.8 | step: 53520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:21:08.6 | step: 53530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:21:17.4 | step: 53540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.010 | time: 1:21:25.7 | step: 53550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:21:34.5 | step: 53560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:21:43.3 | step: 53570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:21:52.1 | step: 53580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:22:00.8 | step: 53590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 1:22:09.2 | step: 53600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:22:18.0 | step: 53610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:22:26.8 | step: 53620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:22:35.5 | step: 53630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 1:22:43.9 | step: 53640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.023 | time: 1:22:52.8 | step: 53650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:23:01.5 | step: 53660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:23:10.3 | step: 53670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:23:19.1 | step: 53680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 1:23:27.4 | step: 53690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:23:36.2 | step: 53700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:23:45.0 | step: 53710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.024 | time: 1:23:53.7 | step: 53720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:24:02.5 | step: 53730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 1:24:10.8 | step: 53740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:24:19.6 | step: 53750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:24:28.4 | step: 53760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:24:37.1 | step: 53770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:24:45.9 | step: 53780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 1:24:54.2 | step: 53790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:25:03.0 | step: 53800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 1:25:11.8 | step: 53810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:25:20.5 | step: 53820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.031 | time: 1:25:28.9 | step: 53830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:25:37.6 | step: 53840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:25:46.4 | step: 53850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:25:55.2 | step: 53860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:26:03.9 | step: 53870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:26:12.3 | step: 53880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 1:26:21.0 | step: 53890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:26:29.8 | step: 53900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 1:26:38.6 | step: 53910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:26:47.3 | step: 53920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.011 | time: 1:26:55.7 | step: 53930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:27:04.4 | step: 53940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:27:13.2 | step: 53950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 1:27:22.0 | step: 53960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 1:27:30.3 | step: 53970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:27:39.1 | step: 53980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:27:47.9 | step: 53990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:27:56.6 | step: 54000 epoch: 127 | 40/ 47 | logs/44k/diffusion | batch/s: 0.29 | lr: 0.0002 | loss: 0.005 | time: 1:28:30.9 | step: 54010 epoch: 128 | 3/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.011 | time: 1:28:39.4 | step: 54020 epoch: 128 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 1:28:48.6 | step: 54030 epoch: 128 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 1:28:57.9 | step: 54040 epoch: 128 | 33/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.007 | time: 1:29:06.9 | step: 54050 epoch: 128 | 43/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.011 | time: 1:29:15.7 | step: 54060 epoch: 129 | 6/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.005 | time: 1:29:24.0 | step: 54070 epoch: 129 | 16/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.014 | time: 1:29:32.7 | step: 54080 epoch: 129 | 26/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 1:29:41.3 | step: 54090 epoch: 129 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.044 | time: 1:29:50.0 | step: 54100 epoch: 129 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.006 | time: 1:29:58.3 | step: 54110 epoch: 130 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.035 | time: 1:30:07.2 | step: 54120 epoch: 130 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:30:16.0 | step: 54130 epoch: 130 | 29/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.015 | time: 1:30:24.9 | step: 54140 epoch: 130 | 39/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.014 | time: 1:30:33.7 | step: 54150 epoch: 131 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.035 | time: 1:30:42.0 | step: 54160 epoch: 131 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:30:50.8 | step: 54170 epoch: 131 | 22/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.037 | time: 1:30:59.5 | step: 54180 epoch: 131 | 32/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 1:31:08.2 | step: 54190 epoch: 131 | 42/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 1:31:16.9 | step: 54200 epoch: 132 | 5/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.019 | time: 1:31:25.2 | step: 54210 epoch: 132 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:31:33.9 | step: 54220 epoch: 132 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:31:42.7 | step: 54230 epoch: 132 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.047 | time: 1:31:51.5 | step: 54240 epoch: 132 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:32:00.2 | step: 54250 epoch: 133 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.026 | time: 1:32:08.6 | step: 54260 epoch: 133 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:32:17.4 | step: 54270 epoch: 133 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:32:26.2 | step: 54280 epoch: 133 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:32:35.0 | step: 54290 epoch: 134 | 1/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.006 | time: 1:32:43.3 | step: 54300 epoch: 134 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:32:52.1 | step: 54310 epoch: 134 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:33:00.9 | step: 54320 epoch: 134 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:33:09.7 | step: 54330 epoch: 134 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:33:18.5 | step: 54340 epoch: 135 | 4/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 1:33:26.8 | step: 54350 epoch: 135 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:33:35.6 | step: 54360 epoch: 135 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:33:44.4 | step: 54370 epoch: 135 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:33:53.2 | step: 54380 epoch: 135 | 44/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:34:02.0 | step: 54390 epoch: 136 | 7/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.013 | time: 1:34:10.3 | step: 54400 epoch: 136 | 17/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:34:19.1 | step: 54410 epoch: 136 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:34:27.9 | step: 54420 epoch: 136 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 1:34:36.7 | step: 54430 epoch: 137 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:34:45.0 | step: 54440 epoch: 137 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:34:53.8 | step: 54450 epoch: 137 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:35:02.6 | step: 54460 epoch: 137 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:35:11.3 | step: 54470 epoch: 137 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:35:20.1 | step: 54480 epoch: 138 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.019 | time: 1:35:28.4 | step: 54490 epoch: 138 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 1:35:37.2 | step: 54500 epoch: 138 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:35:45.9 | step: 54510 epoch: 138 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:35:54.7 | step: 54520 epoch: 138 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:36:03.5 | step: 54530 epoch: 139 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.049 | time: 1:36:11.8 | step: 54540 epoch: 139 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:36:20.6 | step: 54550 epoch: 139 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:36:29.4 | step: 54560 epoch: 139 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:36:38.2 | step: 54570 epoch: 139 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.023 | time: 1:36:46.5 | step: 54580 epoch: 140 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.005 | time: 1:36:55.4 | step: 54590 epoch: 140 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:37:04.2 | step: 54600 epoch: 140 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:37:13.0 | step: 54610 epoch: 140 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:37:21.8 | step: 54620 epoch: 141 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.033 | time: 1:37:30.1 | step: 54630 epoch: 141 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:37:38.9 | step: 54640 epoch: 141 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:37:47.7 | step: 54650 epoch: 141 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.039 | time: 1:37:56.5 | step: 54660 epoch: 141 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:38:05.3 | step: 54670 epoch: 142 | 5/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.007 | time: 1:38:13.7 | step: 54680 epoch: 142 | 15/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 1:38:22.5 | step: 54690 epoch: 142 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 1:38:31.3 | step: 54700 epoch: 142 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:38:40.1 | step: 54710 epoch: 142 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:38:48.9 | step: 54720 epoch: 143 | 8/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.037 | time: 1:38:57.3 | step: 54730 epoch: 143 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:39:06.1 | step: 54740 epoch: 143 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:39:14.8 | step: 54750 epoch: 143 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:39:23.6 | step: 54760 epoch: 144 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.011 | time: 1:39:32.0 | step: 54770 epoch: 144 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:39:40.7 | step: 54780 epoch: 144 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:39:49.5 | step: 54790 epoch: 144 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:39:58.3 | step: 54800 epoch: 144 | 41/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 1:40:07.0 | step: 54810 epoch: 145 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.020 | time: 1:40:15.3 | step: 54820 epoch: 145 | 14/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.041 | time: 1:40:24.1 | step: 54830 epoch: 145 | 24/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 1:40:32.8 | step: 54840 epoch: 145 | 34/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.031 | time: 1:40:41.5 | step: 54850 epoch: 145 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 1:40:50.2 | step: 54860 epoch: 146 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.029 | time: 1:40:58.5 | step: 54870 epoch: 146 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.021 | time: 1:41:07.2 | step: 54880 epoch: 146 | 27/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.005 | time: 1:41:15.9 | step: 54890 epoch: 146 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.030 | time: 1:41:24.7 | step: 54900 epoch: 147 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 1:41:33.0 | step: 54910 epoch: 147 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 1:41:41.7 | step: 54920 epoch: 147 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:41:50.5 | step: 54930 epoch: 147 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:41:59.2 | step: 54940 epoch: 147 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:42:08.0 | step: 54950 epoch: 148 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.012 | time: 1:42:16.3 | step: 54960 epoch: 148 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:42:25.1 | step: 54970 epoch: 148 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:42:33.9 | step: 54980 epoch: 148 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:42:42.6 | step: 54990 epoch: 148 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:42:51.4 | step: 55000 epoch: 149 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:42:59.8 | step: 55010 epoch: 149 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:43:08.6 | step: 55020 epoch: 149 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:43:17.3 | step: 55030 epoch: 149 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:43:26.1 | step: 55040 epoch: 149 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.020 | time: 1:43:34.5 | step: 55050 epoch: 150 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.016 | time: 1:43:43.3 | step: 55060 epoch: 150 | 19/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:43:52.1 | step: 55070 epoch: 150 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:44:00.9 | step: 55080 epoch: 150 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 1:44:09.7 | step: 55090 epoch: 151 | 2/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.019 | time: 1:44:18.1 | step: 55100 epoch: 151 | 12/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:44:26.9 | step: 55110 epoch: 151 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:44:35.7 | step: 55120 epoch: 151 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 1:44:44.4 | step: 55130 epoch: 151 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:44:53.2 | step: 55140 epoch: 152 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.007 | time: 1:45:01.6 | step: 55150 epoch: 152 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:45:10.4 | step: 55160 epoch: 152 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:45:19.2 | step: 55170 epoch: 152 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:45:27.9 | step: 55180 epoch: 152 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:45:36.7 | step: 55190 epoch: 153 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.022 | time: 1:45:45.1 | step: 55200 epoch: 153 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:45:53.8 | step: 55210 epoch: 153 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:46:02.6 | step: 55220 epoch: 153 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:46:11.4 | step: 55230 epoch: 154 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 1:46:19.8 | step: 55240 epoch: 154 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:46:28.5 | step: 55250 epoch: 154 | 21/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:46:37.3 | step: 55260 epoch: 154 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:46:46.1 | step: 55270 epoch: 154 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 1:46:54.8 | step: 55280 epoch: 155 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.022 | time: 1:47:03.2 | step: 55290 epoch: 155 | 14/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 1:47:12.0 | step: 55300 epoch: 155 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:47:20.7 | step: 55310 epoch: 155 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 1:47:29.5 | step: 55320 epoch: 155 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.025 | time: 1:47:38.2 | step: 55330 epoch: 156 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.010 | time: 1:47:46.6 | step: 55340 epoch: 156 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.011 | time: 1:47:55.3 | step: 55350 epoch: 156 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:48:04.0 | step: 55360 epoch: 156 | 37/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 1:48:12.8 | step: 55370 epoch: 157 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.018 | time: 1:48:21.1 | step: 55380 epoch: 157 | 10/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:48:29.9 | step: 55390 epoch: 157 | 20/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:48:38.6 | step: 55400 epoch: 157 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:48:47.4 | step: 55410 epoch: 157 | 40/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:48:56.1 | step: 55420 epoch: 158 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 1:49:04.5 | step: 55430 epoch: 158 | 13/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:49:13.3 | step: 55440 epoch: 158 | 23/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:49:22.0 | step: 55450 epoch: 158 | 33/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:49:30.8 | step: 55460 epoch: 158 | 43/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:49:39.6 | step: 55470 epoch: 159 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.032 | time: 1:49:47.9 | step: 55480 epoch: 159 | 16/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 1:49:56.7 | step: 55490 epoch: 159 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 1:50:05.5 | step: 55500 epoch: 159 | 36/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 1:50:14.3 | step: 55510 epoch: 159 | 46/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 1:50:22.7 | step: 55520 epoch: 160 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.015 | time: 1:50:31.5 | step: 55530 epoch: 160 | 19/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.013 | time: 1:50:40.3 | step: 55540 epoch: 160 | 29/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 1:50:49.1 | step: 55550 epoch: 160 | 39/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:50:57.9 | step: 55560 epoch: 161 | 2/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.013 | time: 1:51:06.3 | step: 55570 epoch: 161 | 12/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 1:51:15.1 | step: 55580 epoch: 161 | 22/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:51:23.9 | step: 55590 epoch: 161 | 32/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:51:32.7 | step: 55600 epoch: 161 | 42/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:51:41.5 | step: 55610 epoch: 162 | 5/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.021 | time: 1:51:49.9 | step: 55620 epoch: 162 | 15/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:51:58.6 | step: 55630 epoch: 162 | 25/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:52:07.4 | step: 55640 epoch: 162 | 35/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:52:16.2 | step: 55650 epoch: 162 | 45/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.032 | time: 1:52:25.0 | step: 55660 epoch: 163 | 8/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.030 | time: 1:52:33.3 | step: 55670 epoch: 163 | 18/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:52:42.1 | step: 55680 epoch: 163 | 28/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:52:50.9 | step: 55690 epoch: 163 | 38/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:52:59.6 | step: 55700 epoch: 164 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.015 | time: 1:53:08.0 | step: 55710 epoch: 164 | 11/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:53:16.7 | step: 55720 epoch: 164 | 21/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.004 | time: 1:53:25.5 | step: 55730 epoch: 164 | 31/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:53:34.2 | step: 55740 epoch: 164 | 41/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:53:42.9 | step: 55750 epoch: 165 | 4/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.004 | time: 1:53:51.3 | step: 55760 epoch: 165 | 14/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 1:54:00.0 | step: 55770 epoch: 165 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:54:08.7 | step: 55780 epoch: 165 | 34/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:54:17.5 | step: 55790 epoch: 165 | 44/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 1:54:26.2 | step: 55800 epoch: 166 | 7/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.045 | time: 1:54:34.5 | step: 55810 epoch: 166 | 17/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.010 | time: 1:54:43.3 | step: 55820 epoch: 166 | 27/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:54:52.0 | step: 55830 epoch: 166 | 37/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 1:55:00.7 | step: 55840 epoch: 167 | 0/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.036 | time: 1:55:09.0 | step: 55850 epoch: 167 | 10/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 1:55:17.8 | step: 55860 epoch: 167 | 20/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 1:55:26.5 | step: 55870 epoch: 167 | 30/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:55:35.2 | step: 55880 epoch: 167 | 40/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 1:55:43.9 | step: 55890 epoch: 168 | 3/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.017 | time: 1:55:52.2 | step: 55900 epoch: 168 | 13/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.022 | time: 1:56:00.9 | step: 55910 epoch: 168 | 23/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.006 | time: 1:56:09.6 | step: 55920 epoch: 168 | 33/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 1:56:18.3 | step: 55930 epoch: 168 | 43/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.033 | time: 1:56:27.1 | step: 55940 epoch: 169 | 6/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 1:56:35.4 | step: 55950 epoch: 169 | 16/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 1:56:44.1 | step: 55960 epoch: 169 | 26/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:56:52.8 | step: 55970 epoch: 169 | 36/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.015 | time: 1:57:01.6 | step: 55980 epoch: 169 | 46/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 1:57:09.9 | step: 55990 epoch: 170 | 9/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.030 | time: 1:57:18.8 | step: 56000 --- model size --- model: 55,192,704 ======= start training ======= epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step epoch: 0 | 9/ 47 | logs/44k/diffusion | batch/s: 0.62 | lr: 0.0002 | loss: 0.010 | time: 0:00:16.7 | step: 56010 epoch: 0 | 19/ 47 | logs/44k/diffusion | batch/s: 1.27 | lr: 0.0002 | loss: 0.012 | time: 0:00:24.6 | step: 56020 epoch: 0 | 29/ 47 | logs/44k/diffusion | batch/s: 1.25 | lr: 0.0002 | loss: 0.019 | time: 0:00:32.6 | step: 56030 epoch: 0 | 39/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.014 | time: 0:00:40.7 | step: 56040 epoch: 1 | 2/ 47 | logs/44k/diffusion | batch/s: 1.28 | lr: 0.0002 | loss: 0.015 | time: 0:00:48.6 | step: 56050 epoch: 1 | 12/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.030 | time: 0:00:56.7 | step: 56060 epoch: 1 | 22/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.010 | time: 0:01:04.9 | step: 56070 epoch: 1 | 32/ 47 | logs/44k/diffusion | batch/s: 1.21 | lr: 0.0002 | loss: 0.007 | time: 0:01:13.2 | step: 56080 epoch: 1 | 42/ 47 | logs/44k/diffusion | batch/s: 1.19 | lr: 0.0002 | loss: 0.032 | time: 0:01:21.7 | step: 56090 epoch: 2 | 5/ 47 | logs/44k/diffusion | batch/s: 1.23 | lr: 0.0002 | loss: 0.014 | time: 0:01:29.8 | step: 56100 epoch: 2 | 15/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.011 | time: 0:01:38.5 | step: 56110 epoch: 2 | 25/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.025 | time: 0:01:47.1 | step: 56120 epoch: 2 | 35/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.017 | time: 0:01:55.7 | step: 56130 epoch: 2 | 45/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.010 | time: 0:02:04.3 | step: 56140 epoch: 3 | 8/ 47 | logs/44k/diffusion | batch/s: 1.22 | lr: 0.0002 | loss: 0.007 | time: 0:02:12.5 | step: 56150 epoch: 3 | 18/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.018 | time: 0:02:21.1 | step: 56160 epoch: 3 | 28/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.007 | time: 0:02:29.8 | step: 56170 epoch: 3 | 38/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.038 | time: 0:02:38.5 | step: 56180 epoch: 4 | 1/ 47 | logs/44k/diffusion | batch/s: 1.20 | lr: 0.0002 | loss: 0.016 | time: 0:02:46.8 | step: 56190 epoch: 4 | 11/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.014 | time: 0:02:55.8 | step: 56200 epoch: 4 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:03:05.0 | step: 56210 epoch: 4 | 31/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.022 | time: 0:03:14.3 | step: 56220 epoch: 4 | 41/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.015 | time: 0:03:23.4 | step: 56230 epoch: 5 | 4/ 47 | logs/44k/diffusion | batch/s: 1.18 | lr: 0.0002 | loss: 0.003 | time: 0:03:31.9 | step: 56240 epoch: 5 | 14/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.008 | time: 0:03:40.7 | step: 56250 epoch: 5 | 24/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:03:49.5 | step: 56260 epoch: 5 | 34/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:03:58.3 | step: 56270 epoch: 5 | 44/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.012 | time: 0:04:07.2 | step: 56280 epoch: 6 | 7/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.027 | time: 0:04:15.8 | step: 56290 epoch: 6 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 0:04:25.0 | step: 56300 epoch: 6 | 27/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:04:34.4 | step: 56310 epoch: 6 | 37/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.012 | time: 0:04:43.7 | step: 56320 epoch: 7 | 0/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:04:52.6 | step: 56330 epoch: 7 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.035 | time: 0:05:01.8 | step: 56340 epoch: 7 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 0:05:11.0 | step: 56350 epoch: 7 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 0:05:20.2 | step: 56360 epoch: 7 | 40/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 0:05:29.3 | step: 56370 epoch: 8 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:05:38.1 | step: 56380 epoch: 8 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.033 | time: 0:05:47.3 | step: 56390 epoch: 8 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.016 | time: 0:05:56.5 | step: 56400 epoch: 8 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 0:06:05.8 | step: 56410 epoch: 8 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:06:15.1 | step: 56420 epoch: 9 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:06:23.9 | step: 56430 epoch: 9 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:06:33.1 | step: 56440 epoch: 9 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:06:42.4 | step: 56450 epoch: 9 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.006 | time: 0:06:51.6 | step: 56460 epoch: 9 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.008 | time: 0:07:00.4 | step: 56470 epoch: 10 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.022 | time: 0:07:09.6 | step: 56480 epoch: 10 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:07:18.8 | step: 56490 epoch: 10 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:07:28.0 | step: 56500 epoch: 10 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 0:07:37.3 | step: 56510 epoch: 11 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:07:46.0 | step: 56520 epoch: 11 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.033 | time: 0:07:55.2 | step: 56530 epoch: 11 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:08:04.4 | step: 56540 epoch: 11 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:08:13.6 | step: 56550 epoch: 11 | 42/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 0:08:22.8 | step: 56560 epoch: 12 | 5/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 0:08:31.5 | step: 56570 epoch: 12 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:08:40.7 | step: 56580 epoch: 12 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.033 | time: 0:08:50.0 | step: 56590 epoch: 12 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:08:59.2 | step: 56600 epoch: 12 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 0:09:08.4 | step: 56610 epoch: 13 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:09:17.2 | step: 56620 epoch: 13 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:09:26.4 | step: 56630 epoch: 13 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:09:35.6 | step: 56640 epoch: 13 | 38/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:09:44.8 | step: 56650 epoch: 14 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:09:53.6 | step: 56660 epoch: 14 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:10:02.9 | step: 56670 epoch: 14 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 0:10:12.1 | step: 56680 epoch: 14 | 31/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.006 | time: 0:10:21.3 | step: 56690 epoch: 14 | 41/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:10:30.5 | step: 56700 epoch: 15 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 0:10:39.3 | step: 56710 epoch: 15 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:10:48.6 | step: 56720 epoch: 15 | 24/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:10:57.8 | step: 56730 epoch: 15 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:11:07.0 | step: 56740 epoch: 15 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 0:11:16.3 | step: 56750 epoch: 16 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.035 | time: 0:11:25.1 | step: 56760 epoch: 16 | 17/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:11:34.3 | step: 56770 epoch: 16 | 27/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:11:43.6 | step: 56780 epoch: 16 | 37/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.006 | time: 0:11:52.8 | step: 56790 epoch: 17 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.007 | time: 0:12:01.6 | step: 56800 epoch: 17 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.028 | time: 0:12:10.8 | step: 56810 epoch: 17 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:12:20.1 | step: 56820 epoch: 17 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:12:29.3 | step: 56830 epoch: 17 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 0:12:38.5 | step: 56840 epoch: 18 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:12:47.3 | step: 56850 epoch: 18 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:12:56.6 | step: 56860 epoch: 18 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:13:05.8 | step: 56870 epoch: 18 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.004 | time: 0:13:15.0 | step: 56880 epoch: 18 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:13:24.3 | step: 56890 epoch: 19 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 0:13:33.1 | step: 56900 epoch: 19 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:13:42.3 | step: 56910 epoch: 19 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:13:51.6 | step: 56920 epoch: 19 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:14:00.8 | step: 56930 epoch: 19 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 0:14:09.6 | step: 56940 epoch: 20 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 0:14:18.9 | step: 56950 epoch: 20 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.037 | time: 0:14:28.1 | step: 56960 epoch: 20 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.005 | time: 0:14:37.4 | step: 56970 epoch: 20 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:14:46.6 | step: 56980 epoch: 21 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:14:55.4 | step: 56990 epoch: 21 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:15:04.6 | step: 57000 epoch: 21 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:15:13.9 | step: 57010 epoch: 21 | 32/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.016 | time: 0:15:23.1 | step: 57020 epoch: 21 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 0:15:32.4 | step: 57030 epoch: 22 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 0:15:41.2 | step: 57040 epoch: 22 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:15:50.4 | step: 57050 epoch: 22 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:15:59.7 | step: 57060 epoch: 22 | 35/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:16:08.9 | step: 57070 epoch: 22 | 45/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 0:16:18.1 | step: 57080 epoch: 23 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:16:26.9 | step: 57090 epoch: 23 | 18/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:16:36.2 | step: 57100 epoch: 23 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.008 | time: 0:16:45.4 | step: 57110 epoch: 23 | 38/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:16:54.7 | step: 57120 epoch: 24 | 1/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.028 | time: 0:17:03.5 | step: 57130 epoch: 24 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:17:12.7 | step: 57140 epoch: 24 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:17:21.9 | step: 57150 epoch: 24 | 31/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:17:31.2 | step: 57160 epoch: 24 | 41/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:17:40.4 | step: 57170 epoch: 25 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:17:49.2 | step: 57180 epoch: 25 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:17:58.4 | step: 57190 epoch: 25 | 24/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:18:07.7 | step: 57200 epoch: 25 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.039 | time: 0:18:16.9 | step: 57210 epoch: 25 | 44/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:18:26.1 | step: 57220 epoch: 26 | 7/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.021 | time: 0:18:34.9 | step: 57230 epoch: 26 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.011 | time: 0:18:44.2 | step: 57240 epoch: 26 | 27/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:18:53.4 | step: 57250 epoch: 26 | 37/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.008 | time: 0:19:02.6 | step: 57260 epoch: 27 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.061 | time: 0:19:11.4 | step: 57270 epoch: 27 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.031 | time: 0:19:20.7 | step: 57280 epoch: 27 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.040 | time: 0:19:29.9 | step: 57290 epoch: 27 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.037 | time: 0:19:39.2 | step: 57300 epoch: 27 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:19:48.4 | step: 57310 epoch: 28 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:19:57.2 | step: 57320 epoch: 28 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:20:06.4 | step: 57330 epoch: 28 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:20:15.6 | step: 57340 epoch: 28 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:20:24.9 | step: 57350 epoch: 28 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.034 | time: 0:20:34.1 | step: 57360 epoch: 29 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:20:42.9 | step: 57370 epoch: 29 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.016 | time: 0:20:52.2 | step: 57380 epoch: 29 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:21:01.4 | step: 57390 epoch: 29 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:21:10.6 | step: 57400 epoch: 29 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.025 | time: 0:21:19.4 | step: 57410 epoch: 30 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.026 | time: 0:21:28.7 | step: 57420 epoch: 30 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:21:37.9 | step: 57430 epoch: 30 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:21:47.2 | step: 57440 epoch: 30 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:21:56.4 | step: 57450 epoch: 31 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:22:05.2 | step: 57460 epoch: 31 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:22:14.4 | step: 57470 epoch: 31 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.016 | time: 0:22:23.7 | step: 57480 epoch: 31 | 32/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:22:32.9 | step: 57490 epoch: 31 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:22:42.1 | step: 57500 epoch: 32 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 0:22:50.9 | step: 57510 epoch: 32 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:23:00.1 | step: 57520 epoch: 32 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:23:09.4 | step: 57530 epoch: 32 | 35/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:23:18.6 | step: 57540 epoch: 32 | 45/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:23:27.8 | step: 57550 epoch: 33 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:23:36.6 | step: 57560 epoch: 33 | 18/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.026 | time: 0:23:45.9 | step: 57570 epoch: 33 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:23:55.1 | step: 57580 epoch: 33 | 38/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.033 | time: 0:24:04.4 | step: 57590 epoch: 34 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.026 | time: 0:24:13.2 | step: 57600 epoch: 34 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.023 | time: 0:24:22.4 | step: 57610 epoch: 34 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:24:31.6 | step: 57620 epoch: 34 | 31/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.046 | time: 0:24:40.9 | step: 57630 epoch: 34 | 41/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:24:50.1 | step: 57640 epoch: 35 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 0:24:58.9 | step: 57650 epoch: 35 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:25:08.2 | step: 57660 epoch: 35 | 24/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.041 | time: 0:25:17.4 | step: 57670 epoch: 35 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:25:26.6 | step: 57680 epoch: 35 | 44/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:25:35.8 | step: 57690 epoch: 36 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.013 | time: 0:25:44.6 | step: 57700 epoch: 36 | 17/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 0:25:53.9 | step: 57710 epoch: 36 | 27/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.023 | time: 0:26:03.1 | step: 57720 epoch: 36 | 37/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:26:12.3 | step: 57730 epoch: 37 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:26:21.1 | step: 57740 epoch: 37 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.043 | time: 0:26:30.4 | step: 57750 epoch: 37 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:26:39.6 | step: 57760 epoch: 37 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 0:26:48.8 | step: 57770 epoch: 37 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:26:58.1 | step: 57780 epoch: 38 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:27:06.9 | step: 57790 epoch: 38 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:27:16.1 | step: 57800 epoch: 38 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:27:25.3 | step: 57810 epoch: 38 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:27:34.5 | step: 57820 epoch: 38 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:27:43.8 | step: 57830 epoch: 39 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.054 | time: 0:27:52.6 | step: 57840 epoch: 39 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 0:28:01.8 | step: 57850 epoch: 39 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.008 | time: 0:28:11.0 | step: 57860 epoch: 39 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:28:20.3 | step: 57870 epoch: 39 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 0:28:29.1 | step: 57880 epoch: 40 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.018 | time: 0:28:38.4 | step: 57890 epoch: 40 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:28:47.6 | step: 57900 epoch: 40 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:28:56.8 | step: 57910 epoch: 40 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:29:06.1 | step: 57920 epoch: 41 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 0:29:14.9 | step: 57930 epoch: 41 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 0:29:24.1 | step: 57940 epoch: 41 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:29:33.3 | step: 57950 epoch: 41 | 32/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 0:29:42.6 | step: 57960 epoch: 41 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:29:51.8 | step: 57970 epoch: 42 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:30:00.6 | step: 57980 epoch: 42 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:30:09.8 | step: 57990 epoch: 42 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:30:19.1 | step: 58000 epoch: 42 | 35/ 47 | logs/44k/diffusion | batch/s: 0.25 | lr: 0.0002 | loss: 0.022 | time: 0:30:59.5 | step: 58010 epoch: 42 | 45/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.023 | time: 0:31:08.9 | step: 58020 epoch: 43 | 8/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.010 | time: 0:31:17.9 | step: 58030 epoch: 43 | 18/ 47 | logs/44k/diffusion | batch/s: 1.07 | lr: 0.0002 | loss: 0.021 | time: 0:31:27.2 | step: 58040 epoch: 43 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 0:31:36.3 | step: 58050 epoch: 43 | 38/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.020 | time: 0:31:45.4 | step: 58060 epoch: 44 | 1/ 47 | logs/44k/diffusion | batch/s: 1.17 | lr: 0.0002 | loss: 0.048 | time: 0:31:53.9 | step: 58070 epoch: 44 | 11/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:32:02.9 | step: 58080 epoch: 44 | 21/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.014 | time: 0:32:12.0 | step: 58090 epoch: 44 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:32:21.2 | step: 58100 epoch: 44 | 41/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:32:30.5 | step: 58110 epoch: 45 | 4/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.024 | time: 0:32:39.4 | step: 58120 epoch: 45 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.002 | time: 0:32:48.7 | step: 58130 epoch: 45 | 24/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.008 | time: 0:32:57.9 | step: 58140 epoch: 45 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:33:07.1 | step: 58150 epoch: 45 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 0:33:16.3 | step: 58160 epoch: 46 | 7/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 0:33:25.0 | step: 58170 epoch: 46 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 0:33:34.1 | step: 58180 epoch: 46 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 0:33:43.3 | step: 58190 epoch: 46 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:33:52.5 | step: 58200 epoch: 47 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.028 | time: 0:34:01.3 | step: 58210 epoch: 47 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 0:34:10.5 | step: 58220 epoch: 47 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.034 | time: 0:34:19.7 | step: 58230 epoch: 47 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:34:28.9 | step: 58240 epoch: 47 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:34:38.2 | step: 58250 epoch: 48 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.040 | time: 0:34:47.0 | step: 58260 epoch: 48 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.045 | time: 0:34:56.2 | step: 58270 epoch: 48 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:35:05.5 | step: 58280 epoch: 48 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:35:14.7 | step: 58290 epoch: 48 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:35:23.9 | step: 58300 epoch: 49 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:35:32.7 | step: 58310 epoch: 49 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.010 | time: 0:35:42.0 | step: 58320 epoch: 49 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.026 | time: 0:35:51.2 | step: 58330 epoch: 49 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:36:00.5 | step: 58340 epoch: 49 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.006 | time: 0:36:09.3 | step: 58350 epoch: 50 | 9/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.022 | time: 0:36:18.6 | step: 58360 epoch: 50 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.005 | time: 0:36:27.8 | step: 58370 epoch: 50 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:36:37.1 | step: 58380 epoch: 50 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:36:46.3 | step: 58390 epoch: 51 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 0:36:55.1 | step: 58400 epoch: 51 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.005 | time: 0:37:04.3 | step: 58410 epoch: 51 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:37:13.6 | step: 58420 epoch: 51 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.047 | time: 0:37:22.8 | step: 58430 epoch: 51 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.061 | time: 0:37:32.1 | step: 58440 epoch: 52 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.084 | time: 0:37:40.9 | step: 58450 epoch: 52 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:37:50.1 | step: 58460 epoch: 52 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.043 | time: 0:37:59.4 | step: 58470 epoch: 52 | 35/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.041 | time: 0:38:08.6 | step: 58480 epoch: 52 | 45/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.031 | time: 0:38:17.9 | step: 58490 epoch: 53 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:38:26.6 | step: 58500 epoch: 53 | 18/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.045 | time: 0:38:35.9 | step: 58510 epoch: 53 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.016 | time: 0:38:45.1 | step: 58520 epoch: 53 | 38/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.051 | time: 0:38:54.4 | step: 58530 epoch: 54 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:39:03.2 | step: 58540 epoch: 54 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:39:12.4 | step: 58550 epoch: 54 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:39:21.7 | step: 58560 epoch: 54 | 31/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.046 | time: 0:39:30.9 | step: 58570 epoch: 54 | 41/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:39:40.2 | step: 58580 epoch: 55 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 0:39:48.9 | step: 58590 epoch: 55 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.019 | time: 0:39:58.2 | step: 58600 epoch: 55 | 24/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 0:40:07.4 | step: 58610 epoch: 55 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 0:40:16.7 | step: 58620 epoch: 55 | 44/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.034 | time: 0:40:25.9 | step: 58630 epoch: 56 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:40:34.7 | step: 58640 epoch: 56 | 17/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:40:44.0 | step: 58650 epoch: 56 | 27/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.028 | time: 0:40:53.2 | step: 58660 epoch: 56 | 37/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:41:02.5 | step: 58670 epoch: 57 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.024 | time: 0:41:11.3 | step: 58680 epoch: 57 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:41:20.5 | step: 58690 epoch: 57 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.008 | time: 0:41:29.8 | step: 58700 epoch: 57 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:41:39.0 | step: 58710 epoch: 57 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.004 | time: 0:41:48.3 | step: 58720 epoch: 58 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.002 | time: 0:41:57.1 | step: 58730 epoch: 58 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:42:06.3 | step: 58740 epoch: 58 | 23/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 0:42:15.6 | step: 58750 epoch: 58 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 0:42:24.8 | step: 58760 epoch: 58 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.026 | time: 0:42:34.1 | step: 58770 epoch: 59 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:42:42.9 | step: 58780 epoch: 59 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.044 | time: 0:42:52.1 | step: 58790 epoch: 59 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.024 | time: 0:43:01.3 | step: 58800 epoch: 59 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:43:10.6 | step: 58810 epoch: 59 | 46/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 0:43:19.4 | step: 58820 epoch: 60 | 9/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.019 | time: 0:43:28.7 | step: 58830 epoch: 60 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.030 | time: 0:43:38.0 | step: 58840 epoch: 60 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:43:47.2 | step: 58850 epoch: 60 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.025 | time: 0:43:56.5 | step: 58860 epoch: 61 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.022 | time: 0:44:05.2 | step: 58870 epoch: 61 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:44:14.5 | step: 58880 epoch: 61 | 22/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 0:44:23.7 | step: 58890 epoch: 61 | 32/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:44:32.9 | step: 58900 epoch: 61 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.032 | time: 0:44:42.1 | step: 58910 epoch: 62 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 0:44:50.9 | step: 58920 epoch: 62 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 0:45:00.1 | step: 58930 epoch: 62 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 0:45:09.3 | step: 58940 epoch: 62 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.039 | time: 0:45:18.5 | step: 58950 epoch: 62 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:45:27.7 | step: 58960 epoch: 63 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 0:45:36.4 | step: 58970 epoch: 63 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 0:45:45.6 | step: 58980 epoch: 63 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.027 | time: 0:45:54.8 | step: 58990 epoch: 63 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 0:46:04.0 | step: 59000 epoch: 64 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.031 | time: 0:46:12.7 | step: 59010 epoch: 64 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:46:21.9 | step: 59020 epoch: 64 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:46:31.1 | step: 59030 epoch: 64 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.039 | time: 0:46:40.3 | step: 59040 epoch: 64 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 0:46:49.4 | step: 59050 epoch: 65 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 0:46:58.2 | step: 59060 epoch: 65 | 14/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.033 | time: 0:47:07.4 | step: 59070 epoch: 65 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:47:16.5 | step: 59080 epoch: 65 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.011 | time: 0:47:25.7 | step: 59090 epoch: 65 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:47:34.9 | step: 59100 epoch: 66 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.004 | time: 0:47:43.6 | step: 59110 epoch: 66 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:47:52.8 | step: 59120 epoch: 66 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 0:48:02.0 | step: 59130 epoch: 66 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 0:48:11.3 | step: 59140 epoch: 67 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 0:48:20.0 | step: 59150 epoch: 67 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:48:29.2 | step: 59160 epoch: 67 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 0:48:38.5 | step: 59170 epoch: 67 | 30/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.023 | time: 0:48:47.7 | step: 59180 epoch: 67 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.009 | time: 0:48:56.9 | step: 59190 epoch: 68 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 0:49:05.7 | step: 59200 epoch: 68 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:49:14.9 | step: 59210 epoch: 68 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:49:24.1 | step: 59220 epoch: 68 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:49:33.4 | step: 59230 epoch: 68 | 43/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.027 | time: 0:49:42.6 | step: 59240 epoch: 69 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.034 | time: 0:49:51.4 | step: 59250 epoch: 69 | 16/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.056 | time: 0:50:00.6 | step: 59260 epoch: 69 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.024 | time: 0:50:09.8 | step: 59270 epoch: 69 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 0:50:19.0 | step: 59280 epoch: 69 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.022 | time: 0:50:27.8 | step: 59290 epoch: 70 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.016 | time: 0:50:37.1 | step: 59300 epoch: 70 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:50:46.3 | step: 59310 epoch: 70 | 29/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 0:50:55.5 | step: 59320 epoch: 70 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:51:04.7 | step: 59330 epoch: 71 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:51:13.5 | step: 59340 epoch: 71 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 0:51:22.7 | step: 59350 epoch: 71 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:51:32.0 | step: 59360 epoch: 71 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 0:51:41.2 | step: 59370 epoch: 71 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 0:51:50.4 | step: 59380 epoch: 72 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.011 | time: 0:51:59.2 | step: 59390 epoch: 72 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.013 | time: 0:52:08.4 | step: 59400 epoch: 72 | 25/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:52:17.6 | step: 59410 epoch: 72 | 35/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.029 | time: 0:52:26.8 | step: 59420 epoch: 72 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 0:52:36.1 | step: 59430 epoch: 73 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 0:52:44.8 | step: 59440 epoch: 73 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 0:52:54.0 | step: 59450 epoch: 73 | 28/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 0:53:03.2 | step: 59460 epoch: 73 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.024 | time: 0:53:12.5 | step: 59470 epoch: 74 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.005 | time: 0:53:21.2 | step: 59480 epoch: 74 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.037 | time: 0:53:30.4 | step: 59490 epoch: 74 | 21/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 0:53:39.7 | step: 59500 epoch: 74 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 0:53:48.9 | step: 59510 epoch: 74 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 0:53:58.1 | step: 59520 epoch: 75 | 4/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.012 | time: 0:54:06.8 | step: 59530 epoch: 75 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 0:54:16.0 | step: 59540 epoch: 75 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 0:54:25.2 | step: 59550 epoch: 75 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 0:54:34.4 | step: 59560 epoch: 75 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 0:54:43.6 | step: 59570 epoch: 76 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 0:54:52.4 | step: 59580 epoch: 76 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 0:55:01.6 | step: 59590 epoch: 76 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 0:55:10.8 | step: 59600 epoch: 76 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 0:55:20.0 | step: 59610 epoch: 77 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 0:55:28.7 | step: 59620 epoch: 77 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.027 | time: 0:55:37.9 | step: 59630 epoch: 77 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 0:55:47.1 | step: 59640 epoch: 77 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 0:55:56.3 | step: 59650 epoch: 77 | 40/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 0:56:05.5 | step: 59660 epoch: 78 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.023 | time: 0:56:14.3 | step: 59670 epoch: 78 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.005 | time: 0:56:23.5 | step: 59680 epoch: 78 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 0:56:32.7 | step: 59690 epoch: 78 | 33/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 0:56:41.8 | step: 59700 epoch: 78 | 43/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.027 | time: 0:56:51.0 | step: 59710 epoch: 79 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 0:56:59.8 | step: 59720 epoch: 79 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 0:57:09.0 | step: 59730 epoch: 79 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 0:57:18.2 | step: 59740 epoch: 79 | 36/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 0:57:27.4 | step: 59750 epoch: 79 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.003 | time: 0:57:36.1 | step: 59760 epoch: 80 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.023 | time: 0:57:45.3 | step: 59770 epoch: 80 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 0:57:54.5 | step: 59780 epoch: 80 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 0:58:03.7 | step: 59790 epoch: 80 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.033 | time: 0:58:12.9 | step: 59800 epoch: 81 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 0:58:21.6 | step: 59810 epoch: 81 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 0:58:30.8 | step: 59820 epoch: 81 | 22/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 0:58:40.0 | step: 59830 epoch: 81 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 0:58:49.2 | step: 59840 epoch: 81 | 42/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 0:58:58.4 | step: 59850 epoch: 82 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.033 | time: 0:59:07.1 | step: 59860 epoch: 82 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 0:59:16.3 | step: 59870 epoch: 82 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 0:59:25.5 | step: 59880 epoch: 82 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 0:59:34.7 | step: 59890 epoch: 82 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 0:59:43.9 | step: 59900 epoch: 83 | 8/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.013 | time: 0:59:52.6 | step: 59910 epoch: 83 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:00:01.8 | step: 59920 epoch: 83 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 1:00:11.0 | step: 59930 epoch: 83 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 1:00:20.2 | step: 59940 epoch: 84 | 1/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.040 | time: 1:00:28.9 | step: 59950 epoch: 84 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.024 | time: 1:00:38.1 | step: 59960 epoch: 84 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 1:00:47.3 | step: 59970 epoch: 84 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.039 | time: 1:00:56.5 | step: 59980 epoch: 84 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 1:01:05.7 | step: 59990 epoch: 85 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.029 | time: 1:01:14.4 | step: 60000 epoch: 85 | 14/ 47 | logs/44k/diffusion | batch/s: 0.21 | lr: 0.0002 | loss: 0.032 | time: 1:02:01.0 | step: 60010 epoch: 85 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:02:10.2 | step: 60020 epoch: 85 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:02:19.3 | step: 60030 epoch: 85 | 44/ 47 | logs/44k/diffusion | batch/s: 1.11 | lr: 0.0002 | loss: 0.026 | time: 1:02:28.3 | step: 60040 epoch: 86 | 7/ 47 | logs/44k/diffusion | batch/s: 1.16 | lr: 0.0002 | loss: 0.009 | time: 1:02:37.0 | step: 60050 epoch: 86 | 17/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.020 | time: 1:02:46.1 | step: 60060 epoch: 86 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 1:02:55.3 | step: 60070 epoch: 86 | 37/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:03:04.5 | step: 60080 epoch: 87 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.030 | time: 1:03:13.3 | step: 60090 epoch: 87 | 10/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.038 | time: 1:03:22.6 | step: 60100 epoch: 87 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:03:31.8 | step: 60110 epoch: 87 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.030 | time: 1:03:41.0 | step: 60120 epoch: 87 | 40/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.026 | time: 1:03:50.2 | step: 60130 epoch: 88 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.012 | time: 1:03:59.0 | step: 60140 epoch: 88 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.032 | time: 1:04:08.2 | step: 60150 epoch: 88 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:04:17.4 | step: 60160 epoch: 88 | 33/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.052 | time: 1:04:26.6 | step: 60170 epoch: 88 | 43/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.005 | time: 1:04:35.8 | step: 60180 epoch: 89 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:04:44.5 | step: 60190 epoch: 89 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 1:04:53.7 | step: 60200 epoch: 89 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 1:05:02.9 | step: 60210 epoch: 89 | 36/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:05:12.1 | step: 60220 epoch: 89 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.010 | time: 1:05:20.8 | step: 60230 epoch: 90 | 9/ 47 | logs/44k/diffusion | batch/s: 1.13 | lr: 0.0002 | loss: 0.007 | time: 1:05:30.0 | step: 60240 epoch: 90 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:05:39.2 | step: 60250 epoch: 90 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.029 | time: 1:05:48.4 | step: 60260 epoch: 90 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:05:57.6 | step: 60270 epoch: 91 | 2/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.044 | time: 1:06:06.3 | step: 60280 epoch: 91 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 1:06:15.5 | step: 60290 epoch: 91 | 22/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:06:24.7 | step: 60300 epoch: 91 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:06:33.9 | step: 60310 epoch: 91 | 42/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.036 | time: 1:06:43.1 | step: 60320 epoch: 92 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:06:51.8 | step: 60330 epoch: 92 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:07:01.0 | step: 60340 epoch: 92 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 1:07:10.2 | step: 60350 epoch: 92 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.037 | time: 1:07:19.4 | step: 60360 epoch: 92 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:07:28.5 | step: 60370 epoch: 93 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:07:37.3 | step: 60380 epoch: 93 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 1:07:46.5 | step: 60390 epoch: 93 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:07:55.7 | step: 60400 epoch: 93 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.002 | time: 1:08:04.9 | step: 60410 epoch: 94 | 1/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.018 | time: 1:08:13.6 | step: 60420 epoch: 94 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 1:08:22.8 | step: 60430 epoch: 94 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.020 | time: 1:08:32.0 | step: 60440 epoch: 94 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 1:08:41.2 | step: 60450 epoch: 94 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 1:08:50.4 | step: 60460 epoch: 95 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:08:59.2 | step: 60470 epoch: 95 | 14/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.034 | time: 1:09:08.4 | step: 60480 epoch: 95 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:09:17.6 | step: 60490 epoch: 95 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.003 | time: 1:09:26.8 | step: 60500 epoch: 95 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.030 | time: 1:09:36.0 | step: 60510 epoch: 96 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.003 | time: 1:09:44.8 | step: 60520 epoch: 96 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:09:54.0 | step: 60530 epoch: 96 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.036 | time: 1:10:03.2 | step: 60540 epoch: 96 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:10:12.4 | step: 60550 epoch: 97 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.042 | time: 1:10:21.2 | step: 60560 epoch: 97 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:10:30.4 | step: 60570 epoch: 97 | 20/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 1:10:39.6 | step: 60580 epoch: 97 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 1:10:48.8 | step: 60590 epoch: 97 | 40/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:10:58.0 | step: 60600 epoch: 98 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:11:06.8 | step: 60610 epoch: 98 | 13/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 1:11:16.0 | step: 60620 epoch: 98 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.011 | time: 1:11:25.2 | step: 60630 epoch: 98 | 33/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.037 | time: 1:11:34.4 | step: 60640 epoch: 98 | 43/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 1:11:43.6 | step: 60650 epoch: 99 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.009 | time: 1:11:52.4 | step: 60660 epoch: 99 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:12:01.6 | step: 60670 epoch: 99 | 26/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.017 | time: 1:12:10.8 | step: 60680 epoch: 99 | 36/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.018 | time: 1:12:20.0 | step: 60690 epoch: 99 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.013 | time: 1:12:28.8 | step: 60700 epoch: 100 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.006 | time: 1:12:38.0 | step: 60710 epoch: 100 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 1:12:47.2 | step: 60720 epoch: 100 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.040 | time: 1:12:56.4 | step: 60730 epoch: 100 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:13:05.6 | step: 60740 epoch: 101 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:13:14.4 | step: 60750 epoch: 101 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 1:13:23.6 | step: 60760 epoch: 101 | 22/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 1:13:32.7 | step: 60770 epoch: 101 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:13:41.9 | step: 60780 epoch: 101 | 42/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:13:51.1 | step: 60790 epoch: 102 | 5/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 1:13:59.8 | step: 60800 epoch: 102 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:14:09.0 | step: 60810 epoch: 102 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.011 | time: 1:14:18.2 | step: 60820 epoch: 102 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 1:14:27.4 | step: 60830 epoch: 102 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:14:36.6 | step: 60840 epoch: 103 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:14:45.3 | step: 60850 epoch: 103 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:14:54.5 | step: 60860 epoch: 103 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 1:15:03.6 | step: 60870 epoch: 103 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:15:12.8 | step: 60880 epoch: 104 | 1/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.009 | time: 1:15:21.5 | step: 60890 epoch: 104 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.053 | time: 1:15:30.7 | step: 60900 epoch: 104 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 1:15:39.9 | step: 60910 epoch: 104 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:15:49.0 | step: 60920 epoch: 104 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 1:15:58.2 | step: 60930 epoch: 105 | 4/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.053 | time: 1:16:06.9 | step: 60940 epoch: 105 | 14/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 1:16:16.1 | step: 60950 epoch: 105 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.050 | time: 1:16:25.2 | step: 60960 epoch: 105 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:16:34.4 | step: 60970 epoch: 105 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.018 | time: 1:16:43.6 | step: 60980 epoch: 106 | 7/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.008 | time: 1:16:52.3 | step: 60990 epoch: 106 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.043 | time: 1:17:01.4 | step: 61000 epoch: 106 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:17:10.6 | step: 61010 epoch: 106 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:17:19.8 | step: 61020 epoch: 107 | 0/ 47 | logs/44k/diffusion | batch/s: 1.15 | lr: 0.0002 | loss: 0.016 | time: 1:17:28.5 | step: 61030 epoch: 107 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 1:17:37.7 | step: 61040 epoch: 107 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 1:17:46.9 | step: 61050 epoch: 107 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:17:56.1 | step: 61060 epoch: 107 | 40/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.034 | time: 1:18:05.3 | step: 61070 epoch: 108 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.021 | time: 1:18:14.0 | step: 61080 epoch: 108 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 1:18:23.2 | step: 61090 epoch: 108 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:18:32.4 | step: 61100 epoch: 108 | 33/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.013 | time: 1:18:41.6 | step: 61110 epoch: 108 | 43/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.030 | time: 1:18:50.8 | step: 61120 epoch: 109 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.027 | time: 1:18:59.5 | step: 61130 epoch: 109 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.011 | time: 1:19:08.7 | step: 61140 epoch: 109 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:19:17.9 | step: 61150 epoch: 109 | 36/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:19:27.1 | step: 61160 epoch: 109 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.028 | time: 1:19:35.8 | step: 61170 epoch: 110 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.025 | time: 1:19:45.1 | step: 61180 epoch: 110 | 19/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.015 | time: 1:19:54.3 | step: 61190 epoch: 110 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:20:03.6 | step: 61200 epoch: 110 | 39/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.034 | time: 1:20:12.8 | step: 61210 epoch: 111 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.008 | time: 1:20:21.6 | step: 61220 epoch: 111 | 12/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.023 | time: 1:20:30.8 | step: 61230 epoch: 111 | 22/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:20:40.1 | step: 61240 epoch: 111 | 32/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.014 | time: 1:20:49.3 | step: 61250 epoch: 111 | 42/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.011 | time: 1:20:58.5 | step: 61260 epoch: 112 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.019 | time: 1:21:07.3 | step: 61270 epoch: 112 | 15/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:21:16.5 | step: 61280 epoch: 112 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.029 | time: 1:21:25.8 | step: 61290 epoch: 112 | 35/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 1:21:35.0 | step: 61300 epoch: 112 | 45/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.022 | time: 1:21:44.2 | step: 61310 epoch: 113 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.025 | time: 1:21:53.0 | step: 61320 epoch: 113 | 18/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.021 | time: 1:22:02.2 | step: 61330 epoch: 113 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.024 | time: 1:22:11.4 | step: 61340 epoch: 113 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.017 | time: 1:22:20.6 | step: 61350 epoch: 114 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:22:29.4 | step: 61360 epoch: 114 | 11/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.020 | time: 1:22:38.6 | step: 61370 epoch: 114 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 1:22:47.8 | step: 61380 epoch: 114 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:22:57.0 | step: 61390 epoch: 114 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 1:23:06.2 | step: 61400 epoch: 115 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.015 | time: 1:23:14.9 | step: 61410 epoch: 115 | 14/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.005 | time: 1:23:24.1 | step: 61420 epoch: 115 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.026 | time: 1:23:33.3 | step: 61430 epoch: 115 | 34/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.007 | time: 1:23:42.6 | step: 61440 epoch: 115 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 1:23:51.8 | step: 61450 epoch: 116 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.006 | time: 1:24:00.5 | step: 61460 epoch: 116 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 1:24:09.8 | step: 61470 epoch: 116 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:24:19.0 | step: 61480 epoch: 116 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.028 | time: 1:24:28.2 | step: 61490 epoch: 117 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.036 | time: 1:24:36.9 | step: 61500 epoch: 117 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:24:46.1 | step: 61510 epoch: 117 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.021 | time: 1:24:55.3 | step: 61520 epoch: 117 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 1:25:04.5 | step: 61530 epoch: 117 | 40/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 1:25:13.7 | step: 61540 epoch: 118 | 3/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.016 | time: 1:25:22.5 | step: 61550 epoch: 118 | 13/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 1:25:31.7 | step: 61560 epoch: 118 | 23/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 1:25:40.8 | step: 61570 epoch: 118 | 33/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:25:50.0 | step: 61580 epoch: 118 | 43/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:25:59.2 | step: 61590 epoch: 119 | 6/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.018 | time: 1:26:08.0 | step: 61600 epoch: 119 | 16/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.039 | time: 1:26:17.2 | step: 61610 epoch: 119 | 26/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.016 | time: 1:26:26.4 | step: 61620 epoch: 119 | 36/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.005 | time: 1:26:35.6 | step: 61630 epoch: 119 | 46/ 47 | logs/44k/diffusion | batch/s: 1.10 | lr: 0.0002 | loss: 0.007 | time: 1:26:44.3 | step: 61640 epoch: 120 | 9/ 47 | logs/44k/diffusion | batch/s: 1.12 | lr: 0.0002 | loss: 0.004 | time: 1:26:53.5 | step: 61650 epoch: 120 | 19/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 1:27:02.7 | step: 61660 epoch: 120 | 29/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.014 | time: 1:27:11.9 | step: 61670 epoch: 120 | 39/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 1:27:21.1 | step: 61680 epoch: 121 | 2/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.020 | time: 1:27:29.9 | step: 61690 epoch: 121 | 12/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:27:39.0 | step: 61700 epoch: 121 | 22/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.027 | time: 1:27:48.3 | step: 61710 epoch: 121 | 32/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:27:57.5 | step: 61720 epoch: 121 | 42/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.012 | time: 1:28:06.6 | step: 61730 epoch: 122 | 5/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:28:15.4 | step: 61740 epoch: 122 | 15/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.025 | time: 1:28:24.6 | step: 61750 epoch: 122 | 25/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.009 | time: 1:28:33.8 | step: 61760 epoch: 122 | 35/ 47 | logs/44k/diffusion | batch/s: 1.08 | lr: 0.0002 | loss: 0.012 | time: 1:28:43.0 | step: 61770 epoch: 122 | 45/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 1:28:52.2 | step: 61780 epoch: 123 | 8/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:29:01.0 | step: 61790 epoch: 123 | 18/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.034 | time: 1:29:10.2 | step: 61800 epoch: 123 | 28/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:29:19.4 | step: 61810 epoch: 123 | 38/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 1:29:28.6 | step: 61820 epoch: 124 | 1/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.014 | time: 1:29:37.3 | step: 61830 epoch: 124 | 11/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.006 | time: 1:29:46.5 | step: 61840 epoch: 124 | 21/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:29:55.7 | step: 61850 epoch: 124 | 31/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.015 | time: 1:30:04.9 | step: 61860 epoch: 124 | 41/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.022 | time: 1:30:14.1 | step: 61870 epoch: 125 | 4/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.041 | time: 1:30:22.9 | step: 61880 epoch: 125 | 14/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:30:32.1 | step: 61890 epoch: 125 | 24/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.033 | time: 1:30:41.2 | step: 61900 epoch: 125 | 34/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 1:30:50.4 | step: 61910 epoch: 125 | 44/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.010 | time: 1:30:59.6 | step: 61920 epoch: 126 | 7/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.017 | time: 1:31:08.4 | step: 61930 epoch: 126 | 17/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.031 | time: 1:31:17.6 | step: 61940 epoch: 126 | 27/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.029 | time: 1:31:26.8 | step: 61950 epoch: 126 | 37/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.019 | time: 1:31:36.0 | step: 61960 epoch: 127 | 0/ 47 | logs/44k/diffusion | batch/s: 1.14 | lr: 0.0002 | loss: 0.010 | time: 1:31:44.7 | step: 61970 epoch: 127 | 10/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.008 | time: 1:31:53.9 | step: 61980 epoch: 127 | 20/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.023 | time: 1:32:03.1 | step: 61990 epoch: 127 | 30/ 47 | logs/44k/diffusion | batch/s: 1.09 | lr: 0.0002 | loss: 0.007 | time: 1:32:12.3 | step: 62000