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sorting red blocks into box, two camera model

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+INFO 2026-05-20 14:12:16 db_utils.py:121 Logs will be synced with wandb.
+INFO 2026-05-20 14:12:16 db_utils.py:122 Track this run --> https://wandb.ai/tim0604-university-of-stuttgart/lerobot/runs/jvro1mv7
+INFO 2026-05-20 14:12:16 ot_train.py:237 Creating dataset
+INFO 2026-05-20 14:12:16 ot_train.py:271 Creating policy
+INFO 2026-05-20 14:12:17 ot_train.py:348 Creating optimizer and scheduler
+INFO 2026-05-20 14:12:17 ot_train.py:375 Output dir: /home/tim_st179133/lerobot_outputs/panda_red_sorting_two_cams_act_100k
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+INFO 2026-05-20 14:12:17 ot_train.py:384 dataset.num_episodes=80
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+Training:  13%|██▊                   | 12800/100000 [22:48<2:33:56,  9.44step/s]INFO 2026-05-20 14:35:05 ot_train.py:494 step:13K smpl:102K ep:175 epch:2.18 loss:0.164 grdn:14.189 lr:1.0e-05 updt_s:0.105 data_s:0.001
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+Training:  13%|██▉                   | 13200/100000 [23:31<2:33:09,  9.45step/s]INFO 2026-05-20 14:35:48 ot_train.py:494 step:13K smpl:106K ep:180 epch:2.25 loss:0.161 grdn:14.033 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  13%|██▉                   | 13400/100000 [23:52<2:32:45,  9.45step/s]INFO 2026-05-20 14:36:09 ot_train.py:494 step:13K smpl:107K ep:183 epch:2.28 loss:0.158 grdn:13.602 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  14%|██▉                   | 13600/100000 [24:13<2:34:38,  9.31step/s]INFO 2026-05-20 14:36:30 ot_train.py:494 step:14K smpl:109K ep:185 epch:2.32 loss:0.156 grdn:13.295 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  14%|███                   | 13800/100000 [24:35<2:39:36,  9.00step/s]INFO 2026-05-20 14:36:52 ot_train.py:494 step:14K smpl:110K ep:188 epch:2.35 loss:0.157 grdn:13.340 lr:1.0e-05 updt_s:0.106 data_s:0.001
+Training:  14%|███                   | 14000/100000 [24:57<2:36:07,  9.18step/s]INFO 2026-05-20 14:37:14 ot_train.py:494 step:14K smpl:112K ep:191 epch:2.39 loss:0.153 grdn:13.126 lr:1.0e-05 updt_s:0.110 data_s:0.001
+Training:  14%|███                   | 14200/100000 [25:19<2:33:41,  9.30step/s]INFO 2026-05-20 14:37:36 ot_train.py:494 step:14K smpl:114K ep:194 epch:2.42 loss:0.149 grdn:13.251 lr:1.0e-05 updt_s:0.109 data_s:0.001
+Training:  14%|███▏                  | 14400/100000 [25:41<2:32:39,  9.35step/s]INFO 2026-05-20 14:37:58 ot_train.py:494 step:14K smpl:115K ep:196 epch:2.45 loss:0.150 grdn:12.687 lr:1.0e-05 updt_s:0.106 data_s:0.001
+Training:  15%|███▏                  | 14600/100000 [26:02<2:32:43,  9.32step/s]INFO 2026-05-20 14:38:19 ot_train.py:494 step:15K smpl:117K ep:199 epch:2.49 loss:0.148 grdn:13.204 lr:1.0e-05 updt_s:0.106 data_s:0.001
+Training:  15%|███▎                  | 14800/100000 [26:24<2:32:04,  9.34step/s]INFO 2026-05-20 14:38:41 ot_train.py:494 step:15K smpl:118K ep:202 epch:2.52 loss:0.147 grdn:13.208 lr:1.0e-05 updt_s:0.106 data_s:0.001
+Training:  15%|███▎                  | 15000/100000 [26:46<2:45:25,  8.56step/s]INFO 2026-05-20 14:39:03 ot_train.py:494 step:15K smpl:120K ep:205 epch:2.56 loss:0.145 grdn:12.087 lr:1.0e-05 updt_s:0.107 data_s:0.001
+Training:  15%|███▎                  | 15200/100000 [27:09<2:41:00,  8.78step/s]INFO 2026-05-20 14:39:26 ot_train.py:494 step:15K smpl:122K ep:207 epch:2.59 loss:0.143 grdn:12.665 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  15%|███▍                  | 15400/100000 [27:31<2:42:01,  8.70step/s]INFO 2026-05-20 14:39:48 ot_train.py:494 step:15K smpl:123K ep:210 epch:2.63 loss:0.144 grdn:12.717 lr:1.0e-05 updt_s:0.112 data_s:0.001
+Training:  16%|███▍                  | 15600/100000 [27:54<2:44:54,  8.53step/s]INFO 2026-05-20 14:40:11 ot_train.py:494 step:16K smpl:125K ep:213 epch:2.66 loss:0.139 grdn:12.243 lr:1.0e-05 updt_s:0.112 data_s:0.001
+Training:  16%|███▍                  | 15800/100000 [28:17<2:44:13,  8.55step/s]INFO 2026-05-20 14:40:34 ot_train.py:494 step:16K smpl:126K ep:215 epch:2.69 loss:0.141 grdn:12.133 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  16%|███▌                  | 16000/100000 [28:40<2:41:56,  8.64step/s]INFO 2026-05-20 14:40:57 ot_train.py:494 step:16K smpl:128K ep:218 epch:2.73 loss:0.140 grdn:11.842 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  16%|███▌                  | 16200/100000 [29:03<2:30:23,  9.29step/s]INFO 2026-05-20 14:41:20 ot_train.py:494 step:16K smpl:130K ep:221 epch:2.76 loss:0.137 grdn:12.094 lr:1.0e-05 updt_s:0.112 data_s:0.001
+Training:  16%|███▌                  | 16400/100000 [29:26<2:40:31,  8.68step/s]INFO 2026-05-20 14:41:43 ot_train.py:494 step:16K smpl:131K ep:224 epch:2.80 loss:0.138 grdn:11.841 lr:1.0e-05 updt_s:0.112 data_s:0.001
+Training:  17%|███▋                  | 16600/100000 [29:48<2:40:39,  8.65step/s]INFO 2026-05-20 14:42:05 ot_train.py:494 step:17K smpl:133K ep:226 epch:2.83 loss:0.135 grdn:11.626 lr:1.0e-05 updt_s:0.110 data_s:0.001
+Training:  17%|███▋                  | 16800/100000 [30:11<2:41:12,  8.60step/s]INFO 2026-05-20 14:42:28 ot_train.py:494 step:17K smpl:134K ep:229 epch:2.86 loss:0.132 grdn:11.512 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  17%|███▋                  | 17000/100000 [30:34<2:40:23,  8.62step/s]INFO 2026-05-20 14:42:51 ot_train.py:494 step:17K smpl:136K ep:232 epch:2.90 loss:0.132 grdn:11.658 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  17%|███▊                  | 17200/100000 [30:57<2:40:17,  8.61step/s]INFO 2026-05-20 14:43:14 ot_train.py:494 step:17K smpl:138K ep:235 epch:2.93 loss:0.134 grdn:11.734 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  17%|███▊                  | 17400/100000 [31:20<2:40:22,  8.58step/s]INFO 2026-05-20 14:43:37 ot_train.py:494 step:17K smpl:139K ep:237 epch:2.97 loss:0.131 grdn:11.692 lr:1.0e-05 updt_s:0.115 data_s:0.001
+Training:  18%|███▊                  | 17600/100000 [31:43<2:29:35,  9.18step/s]INFO 2026-05-20 14:44:00 ot_train.py:494 step:18K smpl:141K ep:240 epch:3.00 loss:0.130 grdn:11.215 lr:1.0e-05 updt_s:0.112 data_s:0.001
+Training:  18%|███▉                  | 17800/100000 [32:06<2:39:22,  8.60step/s]INFO 2026-05-20 14:44:23 ot_train.py:494 step:18K smpl:142K ep:243 epch:3.03 loss:0.126 grdn:10.630 lr:1.0e-05 updt_s:0.114 data_s:0.002
+Training:  18%|███▉                  | 18000/100000 [32:28<2:26:18,  9.34step/s]INFO 2026-05-20 14:44:45 ot_train.py:494 step:18K smpl:144K ep:245 epch:3.07 loss:0.127 grdn:10.937 lr:1.0e-05 updt_s:0.110 data_s:0.001
+Training:  18%|████                  | 18200/100000 [32:50<2:25:59,  9.34step/s]INFO 2026-05-20 14:45:07 ot_train.py:494 step:18K smpl:146K ep:248 epch:3.10 loss:0.126 grdn:10.870 lr:1.0e-05 updt_s:0.108 data_s:0.001
+Training:  18%|████                  | 18400/100000 [33:12<2:25:16,  9.36step/s]INFO 2026-05-20 14:45:30 ot_train.py:494 step:18K smpl:147K ep:251 epch:3.14 loss:0.126 grdn:11.003 lr:1.0e-05 updt_s:0.109 data_s:0.001
+Training:  19%|████                  | 18600/100000 [33:34<2:24:08,  9.41step/s]INFO 2026-05-20 14:45:51 ot_train.py:494 step:19K smpl:149K ep:254 epch:3.17 loss:0.127 grdn:10.993 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  19%|████▏                 | 18800/100000 [33:55<2:24:00,  9.40step/s]INFO 2026-05-20 14:46:12 ot_train.py:494 step:19K smpl:150K ep:256 epch:3.20 loss:0.124 grdn:10.720 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  19%|████▏                 | 19000/100000 [34:16<2:23:55,  9.38step/s]INFO 2026-05-20 14:46:33 ot_train.py:494 step:19K smpl:152K ep:259 epch:3.24 loss:0.124 grdn:11.032 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  19%|████▏                 | 19200/100000 [34:38<2:23:43,  9.37step/s]INFO 2026-05-20 14:46:55 ot_train.py:494 step:19K smpl:154K ep:262 epch:3.27 loss:0.121 grdn:10.298 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  19%|████▎                 | 19400/100000 [34:59<2:23:19,  9.37step/s]INFO 2026-05-20 14:47:16 ot_train.py:494 step:19K smpl:155K ep:265 epch:3.31 loss:0.121 grdn:10.615 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  20%|████▎                 | 19600/100000 [35:20<2:22:43,  9.39step/s]INFO 2026-05-20 14:47:37 ot_train.py:494 step:20K smpl:157K ep:267 epch:3.34 loss:0.120 grdn:10.360 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  20%|████▎                 | 19800/100000 [35:42<2:22:16,  9.39step/s]INFO 2026-05-20 14:47:59 ot_train.py:494 step:20K smpl:158K ep:270 epch:3.38 loss:0.122 grdn:10.827 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  20%|████▍                 | 20000/100000 [36:03<2:21:31,  9.42step/s]INFO 2026-05-20 14:48:20 ot_train.py:494 step:20K smpl:160K ep:273 epch:3.41 loss:0.119 grdn:10.221 lr:1.0e-05 updt_s:0.105 data_s:0.001
+INFO 2026-05-20 14:48:20 ot_train.py:508 Checkpoint policy after step 20000
+Training:  20%|████▍                 | 20200/100000 [36:26<2:21:08,  9.42step/s]INFO 2026-05-20 14:48:43 ot_train.py:494 step:20K smpl:162K ep:275 epch:3.44 loss:0.119 grdn:10.159 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  20%|████▍                 | 20400/100000 [36:48<2:21:24,  9.38step/s]INFO 2026-05-20 14:49:05 ot_train.py:494 step:20K smpl:163K ep:278 epch:3.48 loss:0.118 grdn:10.262 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  21%|████▌                 | 20600/100000 [37:09<2:20:39,  9.41step/s]INFO 2026-05-20 14:49:26 ot_train.py:494 step:21K smpl:165K ep:281 epch:3.51 loss:0.118 grdn:10.539 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  21%|████▌                 | 20800/100000 [37:30<2:20:15,  9.41step/s]INFO 2026-05-20 14:49:47 ot_train.py:494 step:21K smpl:166K ep:284 epch:3.55 loss:0.115 grdn:9.824 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  21%|████▌                 | 21000/100000 [37:51<2:19:55,  9.41step/s]INFO 2026-05-20 14:50:08 ot_train.py:494 step:21K smpl:168K ep:286 epch:3.58 loss:0.117 grdn:10.053 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  21%|████▋                 | 21200/100000 [38:13<2:19:21,  9.42step/s]INFO 2026-05-20 14:50:30 ot_train.py:494 step:21K smpl:170K ep:289 epch:3.61 loss:0.117 grdn:10.164 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  21%|████▋                 | 21400/100000 [38:34<2:19:34,  9.39step/s]INFO 2026-05-20 14:50:51 ot_train.py:494 step:21K smpl:171K ep:292 epch:3.65 loss:0.115 grdn:10.084 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  22%|████▊                 | 21600/100000 [38:55<2:19:02,  9.40step/s]INFO 2026-05-20 14:51:12 ot_train.py:494 step:22K smpl:173K ep:295 epch:3.68 loss:0.112 grdn:9.376 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  22%|████▊                 | 21800/100000 [39:17<2:17:52,  9.45step/s]INFO 2026-05-20 14:51:34 ot_train.py:494 step:22K smpl:174K ep:297 epch:3.72 loss:0.114 grdn:10.038 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  22%|████▊                 | 22000/100000 [39:38<2:18:16,  9.40step/s]INFO 2026-05-20 14:51:55 ot_train.py:494 step:22K smpl:176K ep:300 epch:3.75 loss:0.115 grdn:9.844 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  22%|████▉                 | 22200/100000 [39:59<2:17:01,  9.46step/s]INFO 2026-05-20 14:52:16 ot_train.py:494 step:22K smpl:178K ep:303 epch:3.78 loss:0.113 grdn:9.392 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  22%|████▉                 | 22400/100000 [40:20<2:18:07,  9.36step/s]INFO 2026-05-20 14:52:37 ot_train.py:494 step:22K smpl:179K ep:305 epch:3.82 loss:0.111 grdn:9.375 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  23%|████▉                 | 22600/100000 [40:42<2:18:00,  9.35step/s]INFO 2026-05-20 14:52:59 ot_train.py:494 step:23K smpl:181K ep:308 epch:3.85 loss:0.113 grdn:9.720 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  23%|█████                 | 22800/100000 [41:03<2:16:50,  9.40step/s]INFO 2026-05-20 14:53:20 ot_train.py:494 step:23K smpl:182K ep:311 epch:3.89 loss:0.111 grdn:9.982 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  23%|█████                 | 23000/100000 [41:24<2:16:25,  9.41step/s]INFO 2026-05-20 14:53:41 ot_train.py:494 step:23K smpl:184K ep:314 epch:3.92 loss:0.110 grdn:9.597 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  23%|█████                 | 23200/100000 [41:45<2:16:22,  9.39step/s]INFO 2026-05-20 14:54:02 ot_train.py:494 step:23K smpl:186K ep:316 epch:3.95 loss:0.110 grdn:9.336 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  23%|█████▏                | 23400/100000 [42:07<2:15:56,  9.39step/s]INFO 2026-05-20 14:54:24 ot_train.py:494 step:23K smpl:187K ep:319 epch:3.99 loss:0.110 grdn:9.414 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  24%|█████▏                | 23600/100000 [42:28<2:15:30,  9.40step/s]INFO 2026-05-20 14:54:45 ot_train.py:494 step:24K smpl:189K ep:322 epch:4.02 loss:0.106 grdn:9.223 lr:1.0e-05 updt_s:0.105 data_s:0.002
+Training:  24%|█████▏                | 23800/100000 [42:49<2:15:02,  9.40step/s]INFO 2026-05-20 14:55:06 ot_train.py:494 step:24K smpl:190K ep:325 epch:4.06 loss:0.106 grdn:9.067 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  24%|█████▎                | 24000/100000 [43:11<2:14:36,  9.41step/s]INFO 2026-05-20 14:55:28 ot_train.py:494 step:24K smpl:192K ep:327 epch:4.09 loss:0.105 grdn:8.856 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  24%|█████▎                | 24200/100000 [43:32<2:13:54,  9.43step/s]INFO 2026-05-20 14:55:49 ot_train.py:494 step:24K smpl:194K ep:330 epch:4.13 loss:0.105 grdn:9.187 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  24%|█████▎                | 24400/100000 [43:53<2:14:03,  9.40step/s]INFO 2026-05-20 14:56:10 ot_train.py:494 step:24K smpl:195K ep:333 epch:4.16 loss:0.105 grdn:8.931 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  25%|█████▍                | 24600/100000 [44:14<2:13:34,  9.41step/s]INFO 2026-05-20 14:56:31 ot_train.py:494 step:25K smpl:197K ep:335 epch:4.19 loss:0.105 grdn:8.746 lr:1.0e-05 updt_s:0.106 data_s:0.001
+Training:  25%|█████▍                | 24800/100000 [44:36<2:13:04,  9.42step/s]INFO 2026-05-20 14:56:53 ot_train.py:494 step:25K smpl:198K ep:338 epch:4.23 loss:0.106 grdn:8.978 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  25%|█████▌                | 25000/100000 [44:57<2:12:40,  9.42step/s]INFO 2026-05-20 14:57:14 ot_train.py:494 step:25K smpl:200K ep:341 epch:4.26 loss:0.104 grdn:8.850 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  25%|█████▌                | 25200/100000 [45:18<2:12:08,  9.43step/s]INFO 2026-05-20 14:57:35 ot_train.py:494 step:25K smpl:202K ep:344 epch:4.30 loss:0.104 grdn:8.679 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  25%|█████▌                | 25400/100000 [45:39<2:12:15,  9.40step/s]INFO 2026-05-20 14:57:57 ot_train.py:494 step:25K smpl:203K ep:346 epch:4.33 loss:0.103 grdn:8.536 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  26%|█████▋                | 25600/100000 [46:01<2:12:41,  9.35step/s]INFO 2026-05-20 14:58:18 ot_train.py:494 step:26K smpl:205K ep:349 epch:4.36 loss:0.105 grdn:8.776 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  26%|█████▋                | 25800/100000 [46:22<2:11:18,  9.42step/s]INFO 2026-05-20 14:58:39 ot_train.py:494 step:26K smpl:206K ep:352 epch:4.40 loss:0.102 grdn:8.681 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  26%|█████▋                | 26000/100000 [46:43<2:11:14,  9.40step/s]INFO 2026-05-20 14:59:00 ot_train.py:494 step:26K smpl:208K ep:355 epch:4.43 loss:0.102 grdn:8.684 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  26%|█████▊                | 26200/100000 [47:05<2:10:56,  9.39step/s]INFO 2026-05-20 14:59:22 ot_train.py:494 step:26K smpl:210K ep:357 epch:4.47 loss:0.103 grdn:8.784 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  26%|█████▊                | 26400/100000 [47:26<2:09:51,  9.45step/s]INFO 2026-05-20 14:59:43 ot_train.py:494 step:26K smpl:211K ep:360 epch:4.50 loss:0.104 grdn:8.742 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  27%|█████▊                | 26600/100000 [47:47<2:09:16,  9.46step/s]INFO 2026-05-20 15:00:04 ot_train.py:494 step:27K smpl:213K ep:363 epch:4.53 loss:0.103 grdn:8.900 lr:1.0e-05 updt_s:0.105 data_s:0.001
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+Training:  27%|█████▉                | 27200/100000 [48:51<2:09:30,  9.37step/s]INFO 2026-05-20 15:01:08 ot_train.py:494 step:27K smpl:218K ep:371 epch:4.64 loss:0.100 grdn:8.407 lr:1.0e-05 updt_s:0.105 data_s:0.001
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+Training:  29%|██████▎               | 28800/100000 [51:41<2:06:00,  9.42step/s]INFO 2026-05-20 15:03:58 ot_train.py:494 step:29K smpl:230K ep:393 epch:4.91 loss:0.096 grdn:7.713 lr:1.0e-05 updt_s:0.105 data_s:0.001
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+Training:  29%|██████▍               | 29200/100000 [52:24<2:05:10,  9.43step/s]INFO 2026-05-20 15:04:41 ot_train.py:494 step:29K smpl:234K ep:398 epch:4.98 loss:0.098 grdn:7.995 lr:1.0e-05 updt_s:0.105 data_s:0.001
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+Training:  30%|██████▌               | 29800/100000 [53:27<2:04:26,  9.40step/s]INFO 2026-05-20 15:05:44 ot_train.py:494 step:30K smpl:238K ep:406 epch:5.08 loss:0.096 grdn:8.100 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  30%|██████▌               | 30000/100000 [53:49<2:15:09,  8.63step/s]INFO 2026-05-20 15:06:06 ot_train.py:494 step:30K smpl:240K ep:409 epch:5.11 loss:0.095 grdn:7.701 lr:1.0e-05 updt_s:0.107 data_s:0.001
+Training:  30%|██████▋               | 30200/100000 [54:12<2:14:16,  8.66step/s]INFO 2026-05-20 15:06:29 ot_train.py:494 step:30K smpl:242K ep:412 epch:5.15 loss:0.094 grdn:8.029 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  30%|██████▋               | 30400/100000 [54:35<2:13:08,  8.71step/s]INFO 2026-05-20 15:06:52 ot_train.py:494 step:30K smpl:243K ep:415 epch:5.18 loss:0.093 grdn:7.632 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  31%|██████▋               | 30600/100000 [54:58<2:12:24,  8.74step/s]INFO 2026-05-20 15:07:15 ot_train.py:494 step:31K smpl:245K ep:417 epch:5.22 loss:0.095 grdn:8.065 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  31%|██████▊               | 30800/100000 [55:21<2:11:59,  8.74step/s]INFO 2026-05-20 15:07:38 ot_train.py:494 step:31K smpl:246K ep:420 epch:5.25 loss:0.095 grdn:8.135 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  31%|██████▊               | 31000/100000 [55:44<2:12:22,  8.69step/s]INFO 2026-05-20 15:08:01 ot_train.py:494 step:31K smpl:248K ep:423 epch:5.28 loss:0.095 grdn:8.336 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  31%|██████▊               | 31200/100000 [56:07<2:11:55,  8.69step/s]INFO 2026-05-20 15:08:24 ot_train.py:494 step:31K smpl:250K ep:425 epch:5.32 loss:0.092 grdn:7.893 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  31%|██████▉               | 31400/100000 [56:30<2:10:50,  8.74step/s]INFO 2026-05-20 15:08:47 ot_train.py:494 step:31K smpl:251K ep:428 epch:5.35 loss:0.094 grdn:7.680 lr:1.0e-05 updt_s:0.113 data_s:0.001
+Training:  32%|██████▉               | 31600/100000 [56:53<2:10:43,  8.72step/s]INFO 2026-05-20 15:09:10 ot_train.py:494 step:32K smpl:253K ep:431 epch:5.39 loss:0.093 grdn:7.830 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  32%|██████▉               | 31800/100000 [57:16<2:11:33,  8.64step/s]INFO 2026-05-20 15:09:33 ot_train.py:494 step:32K smpl:254K ep:434 epch:5.42 loss:0.093 grdn:7.811 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  32%|███████               | 32000/100000 [57:40<2:11:10,  8.64step/s]INFO 2026-05-20 15:09:57 ot_train.py:494 step:32K smpl:256K ep:436 epch:5.45 loss:0.092 grdn:7.341 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  32%|███████               | 32200/100000 [58:03<2:10:36,  8.65step/s]INFO 2026-05-20 15:10:20 ot_train.py:494 step:32K smpl:258K ep:439 epch:5.49 loss:0.094 grdn:7.942 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  32%|███████▏              | 32400/100000 [58:26<2:10:04,  8.66step/s]INFO 2026-05-20 15:10:43 ot_train.py:494 step:32K smpl:259K ep:442 epch:5.52 loss:0.092 grdn:7.557 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  33%|███████▏              | 32600/100000 [58:49<2:10:23,  8.62step/s]INFO 2026-05-20 15:11:06 ot_train.py:494 step:33K smpl:261K ep:445 epch:5.56 loss:0.092 grdn:7.527 lr:1.0e-05 updt_s:0.114 data_s:0.001
+Training:  33%|███████▏              | 32800/100000 [59:11<1:59:02,  9.41step/s]INFO 2026-05-20 15:11:28 ot_train.py:494 step:33K smpl:262K ep:447 epch:5.59 loss:0.091 grdn:7.388 lr:1.0e-05 updt_s:0.110 data_s:0.001
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+Training:  33%|███████▎              | 33200/100000 [59:54<1:58:24,  9.40step/s]INFO 2026-05-20 15:12:11 ot_train.py:494 step:33K smpl:266K ep:453 epch:5.66 loss:0.091 grdn:7.367 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  33%|██████▋             | 33400/100000 [1:00:15<1:57:15,  9.47step/s]INFO 2026-05-20 15:12:32 ot_train.py:494 step:33K smpl:267K ep:455 epch:5.69 loss:0.091 grdn:7.650 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  34%|██████▋             | 33600/100000 [1:00:36<1:57:14,  9.44step/s]INFO 2026-05-20 15:12:53 ot_train.py:494 step:34K smpl:269K ep:458 epch:5.73 loss:0.089 grdn:7.277 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  34%|██████▊             | 33800/100000 [1:00:58<1:57:24,  9.40step/s]INFO 2026-05-20 15:13:15 ot_train.py:494 step:34K smpl:270K ep:461 epch:5.76 loss:0.092 grdn:7.795 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  34%|██████▊             | 34000/100000 [1:01:19<1:56:43,  9.42step/s]INFO 2026-05-20 15:13:36 ot_train.py:494 step:34K smpl:272K ep:464 epch:5.80 loss:0.090 grdn:7.520 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  34%|██████▊             | 34200/100000 [1:01:40<1:56:09,  9.44step/s]INFO 2026-05-20 15:13:57 ot_train.py:494 step:34K smpl:274K ep:466 epch:5.83 loss:0.090 grdn:7.362 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  34%|██████▉             | 34400/100000 [1:02:02<1:56:11,  9.41step/s]INFO 2026-05-20 15:14:19 ot_train.py:494 step:34K smpl:275K ep:469 epch:5.86 loss:0.090 grdn:7.025 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  35%|██████▉             | 34600/100000 [1:02:23<1:55:37,  9.43step/s]INFO 2026-05-20 15:14:40 ot_train.py:494 step:35K smpl:277K ep:472 epch:5.90 loss:0.089 grdn:7.132 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  35%|██████▉             | 34800/100000 [1:02:44<1:54:58,  9.45step/s]INFO 2026-05-20 15:15:01 ot_train.py:494 step:35K smpl:278K ep:475 epch:5.93 loss:0.090 grdn:7.149 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  35%|███████             | 35000/100000 [1:03:05<1:54:35,  9.45step/s]INFO 2026-05-20 15:15:22 ot_train.py:494 step:35K smpl:280K ep:477 epch:5.97 loss:0.089 grdn:7.277 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  35%|███████             | 35200/100000 [1:03:26<1:53:52,  9.48step/s]INFO 2026-05-20 15:15:43 ot_train.py:494 step:35K smpl:282K ep:480 epch:6.00 loss:0.091 grdn:7.718 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  35%|██████���             | 35400/100000 [1:03:48<1:55:50,  9.29step/s]INFO 2026-05-20 15:16:05 ot_train.py:494 step:35K smpl:283K ep:483 epch:6.03 loss:0.088 grdn:7.207 lr:1.0e-05 updt_s:0.105 data_s:0.002
+Training:  36%|███████             | 35600/100000 [1:04:09<1:54:10,  9.40step/s]INFO 2026-05-20 15:16:26 ot_train.py:494 step:36K smpl:285K ep:485 epch:6.07 loss:0.086 grdn:7.146 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  36%|███████▏            | 35800/100000 [1:04:30<1:53:53,  9.39step/s]INFO 2026-05-20 15:16:47 ot_train.py:494 step:36K smpl:286K ep:488 epch:6.10 loss:0.089 grdn:7.059 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  36%|███████▏            | 36000/100000 [1:04:52<1:53:14,  9.42step/s]INFO 2026-05-20 15:17:09 ot_train.py:494 step:36K smpl:288K ep:491 epch:6.14 loss:0.087 grdn:7.392 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  36%|███████▏            | 36200/100000 [1:05:13<1:52:54,  9.42step/s]INFO 2026-05-20 15:17:30 ot_train.py:494 step:36K smpl:290K ep:494 epch:6.17 loss:0.088 grdn:7.103 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  36%|███████▎            | 36400/100000 [1:05:34<1:52:10,  9.45step/s]INFO 2026-05-20 15:17:51 ot_train.py:494 step:36K smpl:291K ep:496 epch:6.20 loss:0.087 grdn:7.247 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  37%|███████▎            | 36600/100000 [1:05:55<1:52:32,  9.39step/s]INFO 2026-05-20 15:18:12 ot_train.py:494 step:37K smpl:293K ep:499 epch:6.24 loss:0.087 grdn:7.052 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  37%|███████▎            | 36800/100000 [1:06:17<1:52:00,  9.40step/s]INFO 2026-05-20 15:18:34 ot_train.py:494 step:37K smpl:294K ep:502 epch:6.27 loss:0.087 grdn:6.884 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  37%|███████▍            | 37000/100000 [1:06:38<1:51:32,  9.41step/s]INFO 2026-05-20 15:18:55 ot_train.py:494 step:37K smpl:296K ep:505 epch:6.31 loss:0.088 grdn:7.725 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  37%|███████▍            | 37200/100000 [1:06:59<1:51:03,  9.42step/s]INFO 2026-05-20 15:19:16 ot_train.py:494 step:37K smpl:298K ep:507 epch:6.34 loss:0.086 grdn:6.735 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  37%|███████▍            | 37400/100000 [1:07:20<1:51:30,  9.36step/s]INFO 2026-05-20 15:19:37 ot_train.py:494 step:37K smpl:299K ep:510 epch:6.38 loss:0.086 grdn:6.988 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  38%|███████▌            | 37600/100000 [1:07:42<1:50:26,  9.42step/s]INFO 2026-05-20 15:19:59 ot_train.py:494 step:38K smpl:301K ep:513 epch:6.41 loss:0.086 grdn:7.078 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  38%|███████▌            | 37800/100000 [1:08:03<1:50:02,  9.42step/s]INFO 2026-05-20 15:20:20 ot_train.py:494 step:38K smpl:302K ep:515 epch:6.44 loss:0.085 grdn:6.861 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  38%|███████▌            | 38000/100000 [1:08:24<1:49:31,  9.44step/s]INFO 2026-05-20 15:20:41 ot_train.py:494 step:38K smpl:304K ep:518 epch:6.48 loss:0.084 grdn:6.924 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  38%|███████▋            | 38200/100000 [1:08:45<1:49:26,  9.41step/s]INFO 2026-05-20 15:21:02 ot_train.py:494 step:38K smpl:306K ep:521 epch:6.51 loss:0.085 grdn:6.664 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  38%|███████▋            | 38400/100000 [1:09:07<1:48:33,  9.46step/s]INFO 2026-05-20 15:21:24 ot_train.py:494 step:38K smpl:307K ep:524 epch:6.55 loss:0.085 grdn:7.013 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  39%|███████▋            | 38600/100000 [1:09:28<1:48:21,  9.44step/s]INFO 2026-05-20 15:21:45 ot_train.py:494 step:39K smpl:309K ep:526 epch:6.58 loss:0.085 grdn:6.868 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  39%|███████▊            | 38800/100000 [1:09:49<1:48:21,  9.41step/s]INFO 2026-05-20 15:22:06 ot_train.py:494 step:39K smpl:310K ep:529 epch:6.61 loss:0.084 grdn:6.737 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  39%|███████▊            | 39000/100000 [1:10:10<1:47:41,  9.44step/s]INFO 2026-05-20 15:22:27 ot_train.py:494 step:39K smpl:312K ep:532 epch:6.65 loss:0.085 grdn:6.931 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  39%|███████▊            | 39200/100000 [1:10:32<1:47:31,  9.42step/s]INFO 2026-05-20 15:22:49 ot_train.py:494 step:39K smpl:314K ep:535 epch:6.68 loss:0.085 grdn:7.007 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  39%|███████▉            | 39400/100000 [1:10:53<1:46:55,  9.45step/s]INFO 2026-05-20 15:23:10 ot_train.py:494 step:39K smpl:315K ep:537 epch:6.72 loss:0.083 grdn:6.669 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  40%|███████▉            | 39600/100000 [1:11:14<1:47:04,  9.40step/s]INFO 2026-05-20 15:23:31 ot_train.py:494 step:40K smpl:317K ep:540 epch:6.75 loss:0.083 grdn:6.508 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  40%|█████��█▉            | 39800/100000 [1:11:35<1:46:33,  9.42step/s]INFO 2026-05-20 15:23:52 ot_train.py:494 step:40K smpl:318K ep:543 epch:6.78 loss:0.084 grdn:6.621 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  40%|████████            | 40000/100000 [1:11:57<1:46:17,  9.41step/s]INFO 2026-05-20 15:24:14 ot_train.py:494 step:40K smpl:320K ep:545 epch:6.82 loss:0.083 grdn:6.672 lr:1.0e-05 updt_s:0.105 data_s:0.001
+INFO 2026-05-20 15:24:14 ot_train.py:508 Checkpoint policy after step 40000
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+Training:  54%|██████████▊         | 54000/100000 [1:36:47<1:21:24,  9.42step/s]INFO 2026-05-20 15:49:04 ot_train.py:494 step:54K smpl:432K ep:736 epch:9.21 loss:0.073 grdn:5.649 lr:1.0e-05 updt_s:0.105 data_s:0.001
+Training:  54%|██████████▊         | 54200/100000 [1:37:08<1:21:07,  9.41step/s]INFO 2026-05-20 15:49:25 ot_train.py:494 step:54K smpl:434K ep:739 epch:9.24 loss:0.072 grdn:5.625 lr:1.0e-05 updt_s:0.105 data_s:0.001
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panda_red_sorting_two_cams_act_100k/wandb/run-20260520_141214-jvro1mv7/files/requirements.txt

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panda_red_sorting_two_cams_act_100k/wandb/run-20260520_141214-jvro1mv7/files/wandb-metadata.json

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panda_red_sorting_two_cams_act_100k/wandb/run-20260520_141214-jvro1mv7/logs/debug.log

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