| --- model size --- | |
| model: 55,192,704 | |
| ======= start training ======= | |
| epoch|batch_idx/num_batches|output_dir|batch/s|lr|time|step | |
| epoch: 3 | 0/ 3 | logs/44k/diffusion | batch/s: 1.30 | lr: 0.0002 | loss: 0.032 | time: 0:00:07.9 | step: 10 | |
| epoch: 6 | 1/ 3 | logs/44k/diffusion | batch/s: 2.41 | lr: 0.0002 | loss: 0.018 | time: 0:00:12.1 | step: 20 | |
| epoch: 9 | 2/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.061 | time: 0:00:16.1 | step: 30 | |
| epoch: 13 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.037 | time: 0:00:20.4 | step: 40 | |
| epoch: 16 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.008 | time: 0:00:24.8 | step: 50 | |
| epoch: 19 | 2/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.037 | time: 0:00:29.0 | step: 60 | |
| epoch: 23 | 0/ 3 | logs/44k/diffusion | batch/s: 2.29 | lr: 0.0002 | loss: 0.038 | time: 0:00:33.4 | step: 70 | |
| epoch: 26 | 1/ 3 | logs/44k/diffusion | batch/s: 2.25 | lr: 0.0002 | loss: 0.011 | time: 0:00:37.9 | step: 80 | |
| epoch: 29 | 2/ 3 | logs/44k/diffusion | batch/s: 2.25 | lr: 0.0002 | loss: 0.006 | time: 0:00:42.2 | step: 90 | |
| epoch: 33 | 0/ 3 | logs/44k/diffusion | batch/s: 2.27 | lr: 0.0002 | loss: 0.022 | time: 0:00:46.7 | step: 100 | |
| epoch: 36 | 1/ 3 | logs/44k/diffusion | batch/s: 2.25 | lr: 0.0002 | loss: 0.020 | time: 0:00:51.2 | step: 110 | |
| epoch: 39 | 2/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.022 | time: 0:00:55.3 | step: 120 | |
| epoch: 43 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:00:59.7 | step: 130 | |
| epoch: 46 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.014 | time: 0:01:04.0 | step: 140 | |
| epoch: 49 | 2/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.030 | time: 0:01:08.0 | step: 150 | |
| epoch: 53 | 0/ 3 | logs/44k/diffusion | batch/s: 2.42 | lr: 0.0002 | loss: 0.054 | time: 0:01:12.3 | step: 160 | |
| epoch: 56 | 1/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.011 | time: 0:01:16.5 | step: 170 | |
| epoch: 59 | 2/ 3 | logs/44k/diffusion | batch/s: 2.41 | lr: 0.0002 | loss: 0.016 | time: 0:01:20.5 | step: 180 | |
| epoch: 63 | 0/ 3 | logs/44k/diffusion | batch/s: 2.42 | lr: 0.0002 | loss: 0.018 | time: 0:01:24.7 | step: 190 | |
| epoch: 66 | 1/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.025 | time: 0:01:28.9 | step: 200 | |
| epoch: 69 | 2/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.036 | time: 0:01:33.0 | step: 210 | |
| epoch: 73 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.041 | time: 0:01:37.2 | step: 220 | |
| epoch: 76 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.024 | time: 0:01:41.5 | step: 230 | |
| epoch: 79 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.013 | time: 0:01:45.6 | step: 240 | |
| epoch: 83 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.005 | time: 0:01:49.9 | step: 250 | |
| epoch: 86 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.031 | time: 0:01:54.2 | step: 260 | |
| epoch: 89 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.019 | time: 0:01:58.4 | step: 270 | |
| epoch: 93 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.015 | time: 0:02:02.7 | step: 280 | |
| epoch: 96 | 1/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.017 | time: 0:02:07.0 | step: 290 | |
| epoch: 99 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.012 | time: 0:02:11.2 | step: 300 | |
| epoch: 103 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.019 | time: 0:02:15.5 | step: 310 | |
| epoch: 106 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.006 | time: 0:02:19.8 | step: 320 | |
| epoch: 109 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.006 | time: 0:02:23.9 | step: 330 | |
| epoch: 113 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.035 | time: 0:02:28.2 | step: 340 | |
| epoch: 116 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.008 | time: 0:02:32.5 | step: 350 | |
| epoch: 119 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.025 | time: 0:02:36.5 | step: 360 | |
| epoch: 123 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.010 | time: 0:02:40.8 | step: 370 | |
| epoch: 126 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.022 | time: 0:02:45.1 | step: 380 | |
| epoch: 129 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.046 | time: 0:02:49.1 | step: 390 | |
| epoch: 133 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.013 | time: 0:02:53.5 | step: 400 | |
| epoch: 136 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.023 | time: 0:02:57.7 | step: 410 | |
| epoch: 139 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.020 | time: 0:03:01.8 | step: 420 | |
| epoch: 143 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:03:06.2 | step: 430 | |
| epoch: 146 | 1/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.006 | time: 0:03:10.5 | step: 440 | |
| epoch: 149 | 2/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.012 | time: 0:03:14.6 | step: 450 | |
| epoch: 153 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.018 | time: 0:03:19.0 | step: 460 | |
| epoch: 156 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.017 | time: 0:03:23.3 | step: 470 | |
| epoch: 159 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.010 | time: 0:03:27.4 | step: 480 | |
| epoch: 163 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.021 | time: 0:03:31.7 | step: 490 | |
| epoch: 166 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.009 | time: 0:03:36.0 | step: 500 | |
| epoch: 169 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.005 | time: 0:03:40.1 | step: 510 | |
| epoch: 173 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.017 | time: 0:03:44.4 | step: 520 | |
| epoch: 176 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.016 | time: 0:03:48.7 | step: 530 | |
| epoch: 179 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.006 | time: 0:03:52.8 | step: 540 | |
| epoch: 183 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.026 | time: 0:03:57.1 | step: 550 | |
| epoch: 186 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.007 | time: 0:04:01.3 | step: 560 | |
| epoch: 189 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.014 | time: 0:04:05.5 | step: 570 | |
| epoch: 193 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.010 | time: 0:04:09.8 | step: 580 | |
| epoch: 196 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.009 | time: 0:04:14.0 | step: 590 | |
| epoch: 199 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.039 | time: 0:04:18.1 | step: 600 | |
| epoch: 203 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.020 | time: 0:04:22.5 | step: 610 | |
| epoch: 206 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:04:26.7 | step: 620 | |
| epoch: 209 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.008 | time: 0:04:30.8 | step: 630 | |
| epoch: 213 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.022 | time: 0:04:35.1 | step: 640 | |
| epoch: 216 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.004 | time: 0:04:39.4 | step: 650 | |
| epoch: 219 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.026 | time: 0:04:43.5 | step: 660 | |
| epoch: 223 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.027 | time: 0:04:47.8 | step: 670 | |
| epoch: 226 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.038 | time: 0:04:52.1 | step: 680 | |
| epoch: 229 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.034 | time: 0:04:56.1 | step: 690 | |
| epoch: 233 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.012 | time: 0:05:00.4 | step: 700 | |
| epoch: 236 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.012 | time: 0:05:04.7 | step: 710 | |
| epoch: 239 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.026 | time: 0:05:08.8 | step: 720 | |
| epoch: 243 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.010 | time: 0:05:13.1 | step: 730 | |
| epoch: 246 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.029 | time: 0:05:17.3 | step: 740 | |
| epoch: 249 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.037 | time: 0:05:21.4 | step: 750 | |
| epoch: 253 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.016 | time: 0:05:25.7 | step: 760 | |
| epoch: 256 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.018 | time: 0:05:30.0 | step: 770 | |
| epoch: 259 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.006 | time: 0:05:34.1 | step: 780 | |
| epoch: 263 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.005 | time: 0:05:38.4 | step: 790 | |
| epoch: 266 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.018 | time: 0:05:42.7 | step: 800 | |
| epoch: 269 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.004 | time: 0:05:46.8 | step: 810 | |
| epoch: 273 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.013 | time: 0:05:51.1 | step: 820 | |
| epoch: 276 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.022 | time: 0:05:55.4 | step: 830 | |
| epoch: 279 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.010 | time: 0:05:59.5 | step: 840 | |
| epoch: 283 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.005 | time: 0:06:03.8 | step: 850 | |
| epoch: 286 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.008 | time: 0:06:08.0 | step: 860 | |
| epoch: 289 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.007 | time: 0:06:12.1 | step: 870 | |
| epoch: 293 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.011 | time: 0:06:16.5 | step: 880 | |
| epoch: 296 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:06:20.7 | step: 890 | |
| epoch: 299 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:06:24.8 | step: 900 | |
| epoch: 303 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.017 | time: 0:06:29.1 | step: 910 | |
| epoch: 306 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.030 | time: 0:06:33.4 | step: 920 | |
| epoch: 309 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.015 | time: 0:06:37.5 | step: 930 | |
| epoch: 313 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.018 | time: 0:06:41.9 | step: 940 | |
| epoch: 316 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:06:46.1 | step: 950 | |
| epoch: 319 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.010 | time: 0:06:50.3 | step: 960 | |
| epoch: 323 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.011 | time: 0:06:54.6 | step: 970 | |
| epoch: 326 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.021 | time: 0:06:58.9 | step: 980 | |
| epoch: 329 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.014 | time: 0:07:03.0 | step: 990 | |
| epoch: 333 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.008 | time: 0:07:07.3 | step: 1000 | |
| epoch: 336 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.015 | time: 0:07:11.6 | step: 1010 | |
| epoch: 339 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.003 | time: 0:07:15.7 | step: 1020 | |
| epoch: 343 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.029 | time: 0:07:20.0 | step: 1030 | |
| epoch: 346 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:07:24.3 | step: 1040 | |
| epoch: 349 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.022 | time: 0:07:28.3 | step: 1050 | |
| epoch: 353 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.048 | time: 0:07:32.6 | step: 1060 | |
| epoch: 356 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.026 | time: 0:07:36.9 | step: 1070 | |
| epoch: 359 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:07:41.0 | step: 1080 | |
| epoch: 363 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.011 | time: 0:07:45.3 | step: 1090 | |
| epoch: 366 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.021 | time: 0:07:49.5 | step: 1100 | |
| epoch: 369 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.032 | time: 0:07:53.6 | step: 1110 | |
| epoch: 373 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.021 | time: 0:07:57.9 | step: 1120 | |
| epoch: 376 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.007 | time: 0:08:02.2 | step: 1130 | |
| epoch: 379 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.016 | time: 0:08:06.3 | step: 1140 | |
| epoch: 383 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.021 | time: 0:08:10.6 | step: 1150 | |
| epoch: 386 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.010 | time: 0:08:14.9 | step: 1160 | |
| epoch: 389 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.010 | time: 0:08:19.0 | step: 1170 | |
| epoch: 393 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.023 | time: 0:08:23.4 | step: 1180 | |
| epoch: 396 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.019 | time: 0:08:27.7 | step: 1190 | |
| epoch: 399 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:08:31.8 | step: 1200 | |
| epoch: 403 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.024 | time: 0:08:36.1 | step: 1210 | |
| epoch: 406 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.014 | time: 0:08:40.4 | step: 1220 | |
| epoch: 409 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.013 | time: 0:08:44.5 | step: 1230 | |
| epoch: 413 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.023 | time: 0:08:48.9 | step: 1240 | |
| epoch: 416 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.026 | time: 0:08:53.1 | step: 1250 | |
| epoch: 419 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:08:57.2 | step: 1260 | |
| epoch: 423 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.033 | time: 0:09:01.6 | step: 1270 | |
| epoch: 426 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.026 | time: 0:09:05.9 | step: 1280 | |
| epoch: 429 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:09:10.0 | step: 1290 | |
| epoch: 433 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.031 | time: 0:09:14.3 | step: 1300 | |
| epoch: 436 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:09:18.6 | step: 1310 | |
| epoch: 439 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.009 | time: 0:09:22.7 | step: 1320 | |
| epoch: 443 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:09:27.1 | step: 1330 | |
| epoch: 446 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.004 | time: 0:09:31.4 | step: 1340 | |
| epoch: 449 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.050 | time: 0:09:35.5 | step: 1350 | |
| epoch: 453 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.023 | time: 0:09:39.9 | step: 1360 | |
| epoch: 456 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.008 | time: 0:09:44.2 | step: 1370 | |
| epoch: 459 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.005 | time: 0:09:48.3 | step: 1380 | |
| epoch: 463 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.018 | time: 0:09:52.6 | step: 1390 | |
| epoch: 466 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.015 | time: 0:09:56.9 | step: 1400 | |
| epoch: 469 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.007 | time: 0:10:01.0 | step: 1410 | |
| epoch: 473 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.006 | time: 0:10:05.3 | step: 1420 | |
| epoch: 476 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.020 | time: 0:10:09.6 | step: 1430 | |
| epoch: 479 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.029 | time: 0:10:13.7 | step: 1440 | |
| epoch: 483 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.007 | time: 0:10:18.0 | step: 1450 | |
| epoch: 486 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.042 | time: 0:10:22.3 | step: 1460 | |
| epoch: 489 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.037 | time: 0:10:26.4 | step: 1470 | |
| epoch: 493 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.011 | time: 0:10:30.8 | step: 1480 | |
| epoch: 496 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.027 | time: 0:10:35.1 | step: 1490 | |
| epoch: 499 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:10:39.2 | step: 1500 | |
| epoch: 503 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:10:43.5 | step: 1510 | |
| epoch: 506 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.037 | time: 0:10:47.8 | step: 1520 | |
| epoch: 509 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:10:51.9 | step: 1530 | |
| epoch: 513 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.009 | time: 0:10:56.2 | step: 1540 | |
| epoch: 516 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.020 | time: 0:11:00.5 | step: 1550 | |
| epoch: 519 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:11:04.6 | step: 1560 | |
| epoch: 523 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.007 | time: 0:11:08.9 | step: 1570 | |
| epoch: 526 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.013 | time: 0:11:13.2 | step: 1580 | |
| epoch: 529 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.021 | time: 0:11:17.3 | step: 1590 | |
| epoch: 533 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.009 | time: 0:11:21.7 | step: 1600 | |
| epoch: 536 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.017 | time: 0:11:26.0 | step: 1610 | |
| epoch: 539 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:11:30.1 | step: 1620 | |
| epoch: 543 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.035 | time: 0:11:34.4 | step: 1630 | |
| epoch: 546 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.008 | time: 0:11:38.7 | step: 1640 | |
| epoch: 549 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.010 | time: 0:11:42.8 | step: 1650 | |
| epoch: 553 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.015 | time: 0:11:47.1 | step: 1660 | |
| epoch: 556 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.019 | time: 0:11:51.4 | step: 1670 | |
| epoch: 559 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:11:55.5 | step: 1680 | |
| epoch: 563 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.025 | time: 0:11:59.8 | step: 1690 | |
| epoch: 566 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.036 | time: 0:12:04.1 | step: 1700 | |
| epoch: 569 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.017 | time: 0:12:08.2 | step: 1710 | |
| epoch: 573 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.029 | time: 0:12:12.5 | step: 1720 | |
| epoch: 576 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.005 | time: 0:12:16.8 | step: 1730 | |
| epoch: 579 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.003 | time: 0:12:20.9 | step: 1740 | |
| epoch: 583 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.007 | time: 0:12:25.3 | step: 1750 | |
| epoch: 586 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.010 | time: 0:12:29.6 | step: 1760 | |
| epoch: 589 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.010 | time: 0:12:33.7 | step: 1770 | |
| epoch: 593 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.013 | time: 0:12:38.0 | step: 1780 | |
| epoch: 596 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.034 | time: 0:12:42.3 | step: 1790 | |
| epoch: 599 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.032 | time: 0:12:46.4 | step: 1800 | |
| epoch: 603 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.012 | time: 0:12:50.7 | step: 1810 | |
| epoch: 606 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.011 | time: 0:12:55.0 | step: 1820 | |
| epoch: 609 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.017 | time: 0:12:59.2 | step: 1830 | |
| epoch: 613 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.011 | time: 0:13:03.5 | step: 1840 | |
| epoch: 616 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.013 | time: 0:13:07.8 | step: 1850 | |
| epoch: 619 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.011 | time: 0:13:11.9 | step: 1860 | |
| epoch: 623 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.008 | time: 0:13:16.2 | step: 1870 | |
| epoch: 626 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.030 | time: 0:13:20.5 | step: 1880 | |
| epoch: 629 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.011 | time: 0:13:24.6 | step: 1890 | |
| epoch: 633 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.015 | time: 0:13:29.0 | step: 1900 | |
| epoch: 636 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.009 | time: 0:13:33.3 | step: 1910 | |
| epoch: 639 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:13:37.4 | step: 1920 | |
| epoch: 643 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.032 | time: 0:13:41.7 | step: 1930 | |
| epoch: 646 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.032 | time: 0:13:46.0 | step: 1940 | |
| epoch: 649 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.013 | time: 0:13:50.1 | step: 1950 | |
| epoch: 653 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.026 | time: 0:13:54.4 | step: 1960 | |
| epoch: 656 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.023 | time: 0:13:58.7 | step: 1970 | |
| epoch: 659 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:14:02.8 | step: 1980 | |
| epoch: 663 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.014 | time: 0:14:07.1 | step: 1990 | |
| epoch: 666 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.038 | time: 0:14:11.4 | step: 2000 | |
| --- <validation> --- | |
| loss: 0.025. | |
| epoch: 669 | 2/ 3 | logs/44k/diffusion | batch/s: 0.46 | lr: 0.0002 | loss: 0.008 | time: 0:14:33.1 | step: 2010 | |
| epoch: 673 | 0/ 3 | logs/44k/diffusion | batch/s: 2.41 | lr: 0.0002 | loss: 0.014 | time: 0:14:37.3 | step: 2020 | |
| epoch: 676 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.013 | time: 0:14:41.6 | step: 2030 | |
| epoch: 679 | 2/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.008 | time: 0:14:45.8 | step: 2040 | |
| epoch: 683 | 0/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:14:50.2 | step: 2050 | |
| epoch: 686 | 1/ 3 | logs/44k/diffusion | batch/s: 2.29 | lr: 0.0002 | loss: 0.019 | time: 0:14:54.5 | step: 2060 | |
| epoch: 689 | 2/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.010 | time: 0:14:58.7 | step: 2070 | |
| epoch: 693 | 0/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.016 | time: 0:15:03.2 | step: 2080 | |
| epoch: 696 | 1/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.014 | time: 0:15:07.5 | step: 2090 | |
| epoch: 699 | 2/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.008 | time: 0:15:11.6 | step: 2100 | |
| epoch: 703 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.004 | time: 0:15:16.0 | step: 2110 | |
| epoch: 706 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.004 | time: 0:15:20.3 | step: 2120 | |
| epoch: 709 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.012 | time: 0:15:24.3 | step: 2130 | |
| epoch: 713 | 0/ 3 | logs/44k/diffusion | batch/s: 2.41 | lr: 0.0002 | loss: 0.010 | time: 0:15:28.6 | step: 2140 | |
| epoch: 716 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.007 | time: 0:15:32.9 | step: 2150 | |
| epoch: 719 | 2/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.035 | time: 0:15:36.9 | step: 2160 | |
| epoch: 723 | 0/ 3 | logs/44k/diffusion | batch/s: 2.41 | lr: 0.0002 | loss: 0.043 | time: 0:15:41.2 | step: 2170 | |
| epoch: 726 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.004 | time: 0:15:45.5 | step: 2180 | |
| epoch: 729 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.017 | time: 0:15:49.6 | step: 2190 | |
| epoch: 733 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.020 | time: 0:15:53.9 | step: 2200 | |
| epoch: 736 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.039 | time: 0:15:58.2 | step: 2210 | |
| epoch: 739 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.033 | time: 0:16:02.3 | step: 2220 | |
| epoch: 743 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.008 | time: 0:16:06.6 | step: 2230 | |
| epoch: 746 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:16:10.9 | step: 2240 | |
| epoch: 749 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.016 | time: 0:16:15.0 | step: 2250 | |
| epoch: 753 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.011 | time: 0:16:19.3 | step: 2260 | |
| epoch: 756 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.011 | time: 0:16:23.6 | step: 2270 | |
| epoch: 759 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:16:27.8 | step: 2280 | |
| epoch: 763 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:16:32.1 | step: 2290 | |
| epoch: 766 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.009 | time: 0:16:36.4 | step: 2300 | |
| epoch: 769 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.009 | time: 0:16:40.5 | step: 2310 | |
| epoch: 773 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.070 | time: 0:16:44.8 | step: 2320 | |
| epoch: 776 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.029 | time: 0:16:49.1 | step: 2330 | |
| epoch: 779 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.055 | time: 0:16:53.2 | step: 2340 | |
| epoch: 783 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.024 | time: 0:16:57.6 | step: 2350 | |
| epoch: 786 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.018 | time: 0:17:01.8 | step: 2360 | |
| epoch: 789 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.033 | time: 0:17:06.0 | step: 2370 | |
| epoch: 793 | 0/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.016 | time: 0:17:10.3 | step: 2380 | |
| epoch: 796 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.016 | time: 0:17:14.6 | step: 2390 | |
| epoch: 799 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.016 | time: 0:17:18.7 | step: 2400 | |
| epoch: 803 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.015 | time: 0:17:23.0 | step: 2410 | |
| epoch: 806 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.014 | time: 0:17:27.3 | step: 2420 | |
| epoch: 809 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.031 | time: 0:17:31.4 | step: 2430 | |
| epoch: 813 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.018 | time: 0:17:35.7 | step: 2440 | |
| epoch: 816 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.011 | time: 0:17:40.0 | step: 2450 | |
| epoch: 819 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.034 | time: 0:17:44.1 | step: 2460 | |
| epoch: 823 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.030 | time: 0:17:48.4 | step: 2470 | |
| epoch: 826 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.018 | time: 0:17:52.7 | step: 2480 | |
| epoch: 829 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.017 | time: 0:17:56.8 | step: 2490 | |
| epoch: 833 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.022 | time: 0:18:01.2 | step: 2500 | |
| epoch: 836 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.022 | time: 0:18:05.5 | step: 2510 | |
| epoch: 839 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.010 | time: 0:18:09.6 | step: 2520 | |
| epoch: 843 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.011 | time: 0:18:13.9 | step: 2530 | |
| epoch: 846 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.018 | time: 0:18:18.2 | step: 2540 | |
| epoch: 849 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.025 | time: 0:18:22.3 | step: 2550 | |
| epoch: 853 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.008 | time: 0:18:26.6 | step: 2560 | |
| epoch: 856 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.003 | time: 0:18:30.8 | step: 2570 | |
| epoch: 859 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.003 | time: 0:18:34.9 | step: 2580 | |
| epoch: 863 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.011 | time: 0:18:39.2 | step: 2590 | |
| epoch: 866 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.011 | time: 0:18:43.5 | step: 2600 | |
| epoch: 869 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.005 | time: 0:18:47.5 | step: 2610 | |
| epoch: 873 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.014 | time: 0:18:51.8 | step: 2620 | |
| epoch: 876 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.011 | time: 0:18:56.1 | step: 2630 | |
| epoch: 879 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.003 | time: 0:19:00.2 | step: 2640 | |
| epoch: 883 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.012 | time: 0:19:04.5 | step: 2650 | |
| epoch: 886 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.005 | time: 0:19:08.8 | step: 2660 | |
| epoch: 889 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.005 | time: 0:19:12.9 | step: 2670 | |
| epoch: 893 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.030 | time: 0:19:17.2 | step: 2680 | |
| epoch: 896 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.015 | time: 0:19:21.5 | step: 2690 | |
| epoch: 899 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.006 | time: 0:19:25.6 | step: 2700 | |
| epoch: 903 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.016 | time: 0:19:29.9 | step: 2710 | |
| epoch: 906 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.034 | time: 0:19:34.2 | step: 2720 | |
| epoch: 909 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.004 | time: 0:19:38.4 | step: 2730 | |
| epoch: 913 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.008 | time: 0:19:42.7 | step: 2740 | |
| epoch: 916 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.011 | time: 0:19:47.0 | step: 2750 | |
| epoch: 919 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.019 | time: 0:19:51.1 | step: 2760 | |
| epoch: 923 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.031 | time: 0:19:55.4 | step: 2770 | |
| epoch: 926 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.029 | time: 0:19:59.7 | step: 2780 | |
| epoch: 929 | 2/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.007 | time: 0:20:03.9 | step: 2790 | |
| epoch: 933 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.011 | time: 0:20:08.2 | step: 2800 | |
| epoch: 936 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.005 | time: 0:20:12.5 | step: 2810 | |
| epoch: 939 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.016 | time: 0:20:16.6 | step: 2820 | |
| epoch: 943 | 0/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.007 | time: 0:20:21.0 | step: 2830 | |
| epoch: 946 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:20:25.2 | step: 2840 | |
| epoch: 949 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:20:29.3 | step: 2850 | |
| epoch: 953 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.017 | time: 0:20:33.7 | step: 2860 | |
| epoch: 956 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.009 | time: 0:20:37.9 | step: 2870 | |
| epoch: 959 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:20:42.0 | step: 2880 | |
| epoch: 963 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.009 | time: 0:20:46.4 | step: 2890 | |
| epoch: 966 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.015 | time: 0:20:50.6 | step: 2900 | |
| epoch: 969 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.003 | time: 0:20:54.7 | step: 2910 | |
| epoch: 973 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.021 | time: 0:20:59.1 | step: 2920 | |
| epoch: 976 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.008 | time: 0:21:03.3 | step: 2930 | |
| epoch: 979 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:21:07.4 | step: 2940 | |
| epoch: 983 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.040 | time: 0:21:11.8 | step: 2950 | |
| epoch: 986 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.008 | time: 0:21:16.0 | step: 2960 | |
| epoch: 989 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.008 | time: 0:21:20.1 | step: 2970 | |
| epoch: 993 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.023 | time: 0:21:24.5 | step: 2980 | |
| epoch: 996 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.024 | time: 0:21:28.7 | step: 2990 | |
| epoch: 999 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.015 | time: 0:21:32.8 | step: 3000 | |
| epoch: 1003 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.020 | time: 0:21:37.2 | step: 3010 | |
| epoch: 1006 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:21:41.4 | step: 3020 | |
| epoch: 1009 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.014 | time: 0:21:45.5 | step: 3030 | |
| epoch: 1013 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.004 | time: 0:21:49.9 | step: 3040 | |
| epoch: 1016 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.010 | time: 0:21:54.1 | step: 3050 | |
| epoch: 1019 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.033 | time: 0:21:58.2 | step: 3060 | |
| epoch: 1023 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.008 | time: 0:22:02.6 | step: 3070 | |
| epoch: 1026 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.009 | time: 0:22:06.8 | step: 3080 | |
| epoch: 1029 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:22:10.9 | step: 3090 | |
| epoch: 1033 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.006 | time: 0:22:15.2 | step: 3100 | |
| epoch: 1036 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.011 | time: 0:22:19.5 | step: 3110 | |
| epoch: 1039 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.012 | time: 0:22:23.6 | step: 3120 | |
| epoch: 1043 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.017 | time: 0:22:27.9 | step: 3130 | |
| epoch: 1046 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.008 | time: 0:22:32.2 | step: 3140 | |
| epoch: 1049 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.034 | time: 0:22:36.3 | step: 3150 | |
| epoch: 1053 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.042 | time: 0:22:40.6 | step: 3160 | |
| epoch: 1056 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.023 | time: 0:22:44.9 | step: 3170 | |
| epoch: 1059 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.023 | time: 0:22:49.0 | step: 3180 | |
| epoch: 1063 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.004 | time: 0:22:53.3 | step: 3190 | |
| epoch: 1066 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.008 | time: 0:22:57.6 | step: 3200 | |
| epoch: 1069 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.012 | time: 0:23:01.7 | step: 3210 | |
| epoch: 1073 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.008 | time: 0:23:06.0 | step: 3220 | |
| epoch: 1076 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.007 | time: 0:23:10.3 | step: 3230 | |
| epoch: 1079 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:23:14.4 | step: 3240 | |
| epoch: 1083 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:23:18.7 | step: 3250 | |
| epoch: 1086 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.007 | time: 0:23:23.0 | step: 3260 | |
| epoch: 1089 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.004 | time: 0:23:27.1 | step: 3270 | |
| epoch: 1093 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.035 | time: 0:23:31.4 | step: 3280 | |
| epoch: 1096 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:23:35.7 | step: 3290 | |
| epoch: 1099 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:23:39.8 | step: 3300 | |
| epoch: 1103 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.017 | time: 0:23:44.1 | step: 3310 | |
| epoch: 1106 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.007 | time: 0:23:48.4 | step: 3320 | |
| epoch: 1109 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.009 | time: 0:23:52.5 | step: 3330 | |
| epoch: 1113 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.017 | time: 0:23:56.8 | step: 3340 | |
| epoch: 1116 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.030 | time: 0:24:01.0 | step: 3350 | |
| epoch: 1119 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.010 | time: 0:24:05.2 | step: 3360 | |
| epoch: 1123 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.012 | time: 0:24:09.5 | step: 3370 | |
| epoch: 1126 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.010 | time: 0:24:13.7 | step: 3380 | |
| epoch: 1129 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.027 | time: 0:24:17.8 | step: 3390 | |
| epoch: 1133 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.008 | time: 0:24:22.2 | step: 3400 | |
| epoch: 1136 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.018 | time: 0:24:26.4 | step: 3410 | |
| epoch: 1139 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:24:30.5 | step: 3420 | |
| epoch: 1143 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.006 | time: 0:24:34.9 | step: 3430 | |
| epoch: 1146 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:24:39.1 | step: 3440 | |
| epoch: 1149 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.015 | time: 0:24:43.2 | step: 3450 | |
| epoch: 1153 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.007 | time: 0:24:47.5 | step: 3460 | |
| epoch: 1156 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.011 | time: 0:24:51.8 | step: 3470 | |
| epoch: 1159 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.021 | time: 0:24:55.9 | step: 3480 | |
| epoch: 1163 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.022 | time: 0:25:00.2 | step: 3490 | |
| epoch: 1166 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:25:04.5 | step: 3500 | |
| epoch: 1169 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:25:08.6 | step: 3510 | |
| epoch: 1173 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.005 | time: 0:25:12.9 | step: 3520 | |
| epoch: 1176 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.009 | time: 0:25:17.2 | step: 3530 | |
| epoch: 1179 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:25:21.3 | step: 3540 | |
| epoch: 1183 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.018 | time: 0:25:25.6 | step: 3550 | |
| epoch: 1186 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:25:29.9 | step: 3560 | |
| epoch: 1189 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.009 | time: 0:25:34.0 | step: 3570 | |
| epoch: 1193 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.009 | time: 0:25:38.3 | step: 3580 | |
| epoch: 1196 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.008 | time: 0:25:42.6 | step: 3590 | |
| epoch: 1199 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.013 | time: 0:25:46.7 | step: 3600 | |
| epoch: 1203 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.018 | time: 0:25:51.0 | step: 3610 | |
| epoch: 1206 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.023 | time: 0:25:55.2 | step: 3620 | |
| epoch: 1209 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.020 | time: 0:25:59.3 | step: 3630 | |
| epoch: 1213 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.013 | time: 0:26:03.6 | step: 3640 | |
| epoch: 1216 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.008 | time: 0:26:07.9 | step: 3650 | |
| epoch: 1219 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.012 | time: 0:26:12.0 | step: 3660 | |
| epoch: 1223 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.013 | time: 0:26:16.3 | step: 3670 | |
| epoch: 1226 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.020 | time: 0:26:20.6 | step: 3680 | |
| epoch: 1229 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.012 | time: 0:26:24.7 | step: 3690 | |
| epoch: 1233 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.026 | time: 0:26:29.0 | step: 3700 | |
| epoch: 1236 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.013 | time: 0:26:33.3 | step: 3710 | |
| epoch: 1239 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.007 | time: 0:26:37.4 | step: 3720 | |
| epoch: 1243 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.028 | time: 0:26:41.7 | step: 3730 | |
| epoch: 1246 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.020 | time: 0:26:46.0 | step: 3740 | |
| epoch: 1249 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.010 | time: 0:26:50.1 | step: 3750 | |
| epoch: 1253 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.009 | time: 0:26:54.4 | step: 3760 | |
| epoch: 1256 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.004 | time: 0:26:58.6 | step: 3770 | |
| epoch: 1259 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.008 | time: 0:27:02.7 | step: 3780 | |
| epoch: 1263 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.017 | time: 0:27:07.1 | step: 3790 | |
| epoch: 1266 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.019 | time: 0:27:11.3 | step: 3800 | |
| epoch: 1269 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.004 | time: 0:27:15.4 | step: 3810 | |
| epoch: 1273 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.006 | time: 0:27:19.8 | step: 3820 | |
| epoch: 1276 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.013 | time: 0:27:24.1 | step: 3830 | |
| epoch: 1279 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.040 | time: 0:27:28.2 | step: 3840 | |
| epoch: 1283 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.007 | time: 0:27:32.5 | step: 3850 | |
| epoch: 1286 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.008 | time: 0:27:36.8 | step: 3860 | |
| epoch: 1289 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.010 | time: 0:27:40.9 | step: 3870 | |
| epoch: 1293 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.011 | time: 0:27:45.2 | step: 3880 | |
| epoch: 1296 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.022 | time: 0:27:49.4 | step: 3890 | |
| epoch: 1299 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.002 | time: 0:27:53.5 | step: 3900 | |
| epoch: 1303 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.009 | time: 0:27:57.9 | step: 3910 | |
| epoch: 1306 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.022 | time: 0:28:02.1 | step: 3920 | |
| epoch: 1309 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.024 | time: 0:28:06.2 | step: 3930 | |
| epoch: 1313 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.016 | time: 0:28:10.5 | step: 3940 | |
| epoch: 1316 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.027 | time: 0:28:14.8 | step: 3950 | |
| epoch: 1319 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.059 | time: 0:28:18.9 | step: 3960 | |
| epoch: 1323 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.251 | time: 0:28:23.2 | step: 3970 | |
| epoch: 1326 | 1/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.098 | time: 0:28:27.5 | step: 3980 | |
| epoch: 1329 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.085 | time: 0:28:31.6 | step: 3990 | |
| epoch: 1333 | 0/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.053 | time: 0:28:35.9 | step: 4000 | |
| --- <validation> --- | |
| loss: 0.055. | |
| epoch: 1336 | 1/ 3 | logs/44k/diffusion | batch/s: 0.47 | lr: 0.0002 | loss: 0.060 | time: 0:28:57.1 | step: 4010 | |
| epoch: 1339 | 2/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.042 | time: 0:29:01.2 | step: 4020 | |
| epoch: 1343 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.035 | time: 0:29:05.5 | step: 4030 | |
| epoch: 1346 | 1/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.020 | time: 0:29:09.8 | step: 4040 | |
| epoch: 1349 | 2/ 3 | logs/44k/diffusion | batch/s: 2.31 | lr: 0.0002 | loss: 0.033 | time: 0:29:14.0 | step: 4050 | |
| epoch: 1353 | 0/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.008 | time: 0:29:18.4 | step: 4060 | |
| epoch: 1356 | 1/ 3 | logs/44k/diffusion | batch/s: 2.28 | lr: 0.0002 | loss: 0.012 | time: 0:29:22.8 | step: 4070 | |
| epoch: 1359 | 2/ 3 | logs/44k/diffusion | batch/s: 2.34 | lr: 0.0002 | loss: 0.013 | time: 0:29:27.0 | step: 4080 | |
| epoch: 1363 | 0/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.025 | time: 0:29:31.3 | step: 4090 | |
| epoch: 1366 | 1/ 3 | logs/44k/diffusion | batch/s: 2.32 | lr: 0.0002 | loss: 0.030 | time: 0:29:35.7 | step: 4100 | |
| epoch: 1369 | 2/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:29:39.8 | step: 4110 | |
| epoch: 1373 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.017 | time: 0:29:44.1 | step: 4120 | |
| epoch: 1376 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.026 | time: 0:29:48.4 | step: 4130 | |
| epoch: 1379 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.015 | time: 0:29:52.4 | step: 4140 | |
| epoch: 1383 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.032 | time: 0:29:56.8 | step: 4150 | |
| epoch: 1386 | 1/ 3 | logs/44k/diffusion | batch/s: 2.36 | lr: 0.0002 | loss: 0.022 | time: 0:30:01.0 | step: 4160 | |
| epoch: 1389 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.019 | time: 0:30:05.1 | step: 4170 | |
| epoch: 1393 | 0/ 3 | logs/44k/diffusion | batch/s: 2.40 | lr: 0.0002 | loss: 0.041 | time: 0:30:09.4 | step: 4180 | |
| epoch: 1396 | 1/ 3 | logs/44k/diffusion | batch/s: 2.35 | lr: 0.0002 | loss: 0.015 | time: 0:30:13.6 | step: 4190 | |
| epoch: 1399 | 2/ 3 | logs/44k/diffusion | batch/s: 2.37 | lr: 0.0002 | loss: 0.006 | time: 0:30:17.7 | step: 4200 | |
| epoch: 1403 | 0/ 3 | logs/44k/diffusion | batch/s: 2.39 | lr: 0.0002 | loss: 0.021 | time: 0:30:22.0 | step: 4210 | |
| epoch: 1406 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.008 | time: 0:30:26.3 | step: 4220 | |
| epoch: 1409 | 2/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.020 | time: 0:30:30.4 | step: 4230 | |
| epoch: 1413 | 0/ 3 | logs/44k/diffusion | batch/s: 2.38 | lr: 0.0002 | loss: 0.023 | time: 0:30:34.7 | step: 4240 | |
| epoch: 1416 | 1/ 3 | logs/44k/diffusion | batch/s: 2.33 | lr: 0.0002 | loss: 0.013 | time: 0:30:39.0 | step: 4250 | |