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atonyxu
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my_model

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my_model
File size: 49,486 Bytes 
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--- 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