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+INFO 2025-05-11 07:12:08 ts/train.py:232 step:596K smpl:10M ep:48K epch:160.09 loss:0.003 grdn:0.143 lr:2.6e-05 updt_s:0.227 data_s:0.029
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+INFO 2025-05-11 07:18:00 ts/train.py:232 step:597K smpl:10M ep:48K epch:160.46 loss:0.004 grdn:0.180 lr:2.5e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 07:18:51 ts/train.py:232 step:598K smpl:10M ep:48K epch:160.52 loss:0.003 grdn:0.153 lr:2.5e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 07:19:41 ts/train.py:232 step:598K smpl:10M ep:48K epch:160.57 loss:0.003 grdn:0.144 lr:2.5e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 07:20:31 ts/train.py:232 step:598K smpl:10M ep:48K epch:160.62 loss:0.003 grdn:0.142 lr:2.5e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 07:21:21 ts/train.py:232 step:598K smpl:10M ep:48K epch:160.68 loss:0.003 grdn:0.150 lr:2.5e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 07:22:11 ts/train.py:232 step:598K smpl:10M ep:48K epch:160.73 loss:0.003 grdn:0.153 lr:2.5e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 07:23:01 ts/train.py:232 step:599K smpl:10M ep:48K epch:160.78 loss:0.003 grdn:0.158 lr:2.5e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 07:23:51 ts/train.py:232 step:599K smpl:10M ep:48K epch:160.84 loss:0.003 grdn:0.147 lr:2.5e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 07:24:41 ts/train.py:232 step:599K smpl:10M ep:48K epch:160.89 loss:0.002 grdn:0.129 lr:2.5e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 07:25:31 ts/train.py:232 step:599K smpl:10M ep:48K epch:160.95 loss:0.003 grdn:0.156 lr:2.5e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 07:26:21 ts/train.py:232 step:599K smpl:10M ep:48K epch:161.00 loss:0.003 grdn:0.157 lr:2.5e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 07:27:11 ts/train.py:232 step:600K smpl:10M ep:48K epch:161.05 loss:0.003 grdn:0.148 lr:2.5e-05 updt_s:0.227 data_s:0.025
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+INFO 2025-05-11 07:28:53 ts/train.py:241 Checkpoint policy after step 600000
+INFO 2025-05-11 07:29:48 ts/train.py:232 step:600K smpl:10M ep:48K epch:161.21 loss:0.003 grdn:0.160 lr:2.5e-05 updt_s:0.226 data_s:0.021
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+INFO 2025-05-11 07:39:27 ts/train.py:232 step:603K smpl:10M ep:49K epch:161.86 loss:0.003 grdn:0.135 lr:2.5e-05 updt_s:0.227 data_s:0.011
+INFO 2025-05-11 07:40:16 ts/train.py:232 step:603K smpl:10M ep:49K epch:161.91 loss:0.003 grdn:0.151 lr:2.5e-05 updt_s:0.227 data_s:0.015
+INFO 2025-05-11 07:41:04 ts/train.py:232 step:603K smpl:10M ep:49K epch:161.97 loss:0.003 grdn:0.144 lr:2.5e-05 updt_s:0.227 data_s:0.014
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+INFO 2025-05-11 07:42:41 ts/train.py:232 step:603K smpl:10M ep:49K epch:162.07 loss:0.003 grdn:0.153 lr:2.5e-05 updt_s:0.227 data_s:0.015
+INFO 2025-05-11 07:43:33 ts/train.py:232 step:604K smpl:10M ep:49K epch:162.13 loss:0.003 grdn:0.154 lr:2.4e-05 updt_s:0.227 data_s:0.031
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+INFO 2025-05-11 07:45:10 ts/train.py:232 step:604K smpl:10M ep:49K epch:162.23 loss:0.003 grdn:0.159 lr:2.4e-05 updt_s:0.227 data_s:0.016
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+INFO 2025-05-11 08:48:10 ts/train.py:232 step:619K smpl:10M ep:50K epch:166.26 loss:0.003 grdn:0.151 lr:2.2e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 08:49:00 ts/train.py:232 step:619K smpl:10M ep:50K epch:166.32 loss:0.003 grdn:0.142 lr:2.2e-05 updt_s:0.227 data_s:0.023
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+INFO 2025-05-11 08:51:32 ts/train.py:232 step:620K smpl:10M ep:50K epch:166.48 loss:0.003 grdn:0.150 lr:2.2e-05 updt_s:0.228 data_s:0.023
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+INFO 2025-05-11 08:54:54 ts/train.py:232 step:621K smpl:10M ep:50K epch:166.69 loss:0.003 grdn:0.147 lr:2.2e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 08:57:26 ts/train.py:232 step:621K smpl:10M ep:50K epch:166.85 loss:0.003 grdn:0.152 lr:2.2e-05 updt_s:0.227 data_s:0.027
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+INFO 2025-05-11 08:59:07 ts/train.py:232 step:622K smpl:10M ep:50K epch:166.96 loss:0.002 grdn:0.134 lr:2.2e-05 updt_s:0.227 data_s:0.028
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+INFO 2025-05-11 09:05:39 ts/train.py:232 step:623K smpl:10M ep:50K epch:167.39 loss:0.003 grdn:0.146 lr:2.2e-05 updt_s:0.227 data_s:0.020
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+INFO 2025-05-11 09:11:26 ts/train.py:232 step:625K smpl:10M ep:50K epch:167.77 loss:0.003 grdn:0.148 lr:2.1e-05 updt_s:0.228 data_s:0.020
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+INFO 2025-05-11 09:14:48 ts/train.py:232 step:625K smpl:10M ep:50K epch:167.98 loss:0.002 grdn:0.143 lr:2.1e-05 updt_s:0.226 data_s:0.027
+INFO 2025-05-11 09:15:39 ts/train.py:232 step:626K smpl:10M ep:50K epch:168.04 loss:0.003 grdn:0.146 lr:2.1e-05 updt_s:0.227 data_s:0.025
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+INFO 2025-05-11 09:17:18 ts/train.py:232 step:626K smpl:10M ep:50K epch:168.14 loss:0.002 grdn:0.140 lr:2.1e-05 updt_s:0.227 data_s:0.021
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+INFO 2025-05-11 09:23:09 ts/train.py:232 step:627K smpl:10M ep:51K epch:168.52 loss:0.003 grdn:0.140 lr:2.1e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 09:23:58 ts/train.py:232 step:628K smpl:10M ep:51K epch:168.57 loss:0.003 grdn:0.147 lr:2.1e-05 updt_s:0.227 data_s:0.020
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+INFO 2025-05-11 09:26:28 ts/train.py:232 step:628K smpl:10M ep:51K epch:168.73 loss:0.003 grdn:0.152 lr:2.1e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 09:27:18 ts/train.py:232 step:628K smpl:10M ep:51K epch:168.79 loss:0.003 grdn:0.153 lr:2.1e-05 updt_s:0.227 data_s:0.023
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+INFO 2025-05-11 09:29:00 ts/train.py:232 step:629K smpl:10M ep:51K epch:168.90 loss:0.003 grdn:0.143 lr:2.1e-05 updt_s:0.227 data_s:0.032
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+INFO 2025-05-11 09:30:38 ts/train.py:232 step:629K smpl:10M ep:51K epch:169.00 loss:0.003 grdn:0.147 lr:2.1e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 09:31:28 ts/train.py:232 step:629K smpl:10M ep:51K epch:169.06 loss:0.003 grdn:0.146 lr:2.1e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 09:32:18 ts/train.py:232 step:630K smpl:10M ep:51K epch:169.11 loss:0.003 grdn:0.157 lr:2.1e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 09:33:08 ts/train.py:232 step:630K smpl:10M ep:51K epch:169.16 loss:0.003 grdn:0.162 lr:2.1e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 09:33:59 ts/train.py:241 Checkpoint policy after step 630000
+INFO 2025-05-11 09:34:53 ts/train.py:232 step:630K smpl:10M ep:51K epch:169.27 loss:0.003 grdn:0.154 lr:2.1e-05 updt_s:0.227 data_s:0.022
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+INFO 2025-05-11 09:37:24 ts/train.py:232 step:631K smpl:10M ep:51K epch:169.43 loss:0.003 grdn:0.143 lr:2.1e-05 updt_s:0.227 data_s:0.023
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+INFO 2025-05-11 09:39:06 ts/train.py:232 step:631K smpl:10M ep:51K epch:169.54 loss:0.003 grdn:0.153 lr:2.0e-05 updt_s:0.227 data_s:0.030
+INFO 2025-05-11 09:39:57 ts/train.py:232 step:631K smpl:10M ep:51K epch:169.59 loss:0.003 grdn:0.150 lr:2.0e-05 updt_s:0.227 data_s:0.027
+INFO 2025-05-11 09:40:48 ts/train.py:232 step:632K smpl:10M ep:51K epch:169.65 loss:0.003 grdn:0.145 lr:2.0e-05 updt_s:0.227 data_s:0.027
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+INFO 2025-05-11 09:42:29 ts/train.py:232 step:632K smpl:10M ep:51K epch:169.76 loss:0.003 grdn:0.146 lr:2.0e-05 updt_s:0.227 data_s:0.025
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+INFO 2025-05-11 11:35:13 ts/train.py:232 step:659K smpl:11M ep:53K epch:176.95 loss:0.002 grdn:0.148 lr:1.7e-05 updt_s:0.227 data_s:0.028
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+INFO 2025-05-11 11:38:35 ts/train.py:232 step:660K smpl:11M ep:53K epch:177.17 loss:0.002 grdn:0.149 lr:1.7e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 11:39:26 ts/train.py:232 step:660K smpl:11M ep:53K epch:177.22 loss:0.003 grdn:0.150 lr:1.7e-05 updt_s:0.227 data_s:0.026
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+INFO 2025-05-11 11:40:16 ts/train.py:241 Checkpoint policy after step 660000
+INFO 2025-05-11 11:41:11 ts/train.py:232 step:660K smpl:11M ep:53K epch:177.33 loss:0.002 grdn:0.150 lr:1.7e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 11:42:01 ts/train.py:232 step:660K smpl:11M ep:53K epch:177.38 loss:0.002 grdn:0.145 lr:1.7e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 11:45:25 ts/train.py:232 step:661K smpl:11M ep:53K epch:177.60 loss:0.002 grdn:0.129 lr:1.6e-05 updt_s:0.226 data_s:0.023
+INFO 2025-05-11 11:46:14 ts/train.py:232 step:661K smpl:11M ep:53K epch:177.65 loss:0.002 grdn:0.140 lr:1.6e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 11:47:04 ts/train.py:232 step:662K smpl:11M ep:53K epch:177.71 loss:0.002 grdn:0.139 lr:1.6e-05 updt_s:0.226 data_s:0.020
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+INFO 2025-05-11 11:48:44 ts/train.py:232 step:662K smpl:11M ep:53K epch:177.81 loss:0.003 grdn:0.166 lr:1.6e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 11:49:35 ts/train.py:232 step:662K smpl:11M ep:53K epch:177.87 loss:0.002 grdn:0.149 lr:1.6e-05 updt_s:0.227 data_s:0.027
+INFO 2025-05-11 11:50:25 ts/train.py:232 step:662K smpl:11M ep:53K epch:177.92 loss:0.003 grdn:0.154 lr:1.6e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 11:51:15 ts/train.py:232 step:663K smpl:11M ep:53K epch:177.97 loss:0.003 grdn:0.163 lr:1.6e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 11:52:06 ts/train.py:232 step:663K smpl:11M ep:53K epch:178.03 loss:0.003 grdn:0.151 lr:1.6e-05 updt_s:0.227 data_s:0.025
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+INFO 2025-05-11 11:54:37 ts/train.py:232 step:663K smpl:11M ep:53K epch:178.19 loss:0.003 grdn:0.146 lr:1.6e-05 updt_s:0.227 data_s:0.025
+INFO 2025-05-11 11:55:28 ts/train.py:232 step:664K smpl:11M ep:53K epch:178.24 loss:0.002 grdn:0.146 lr:1.6e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 11:56:19 ts/train.py:232 step:664K smpl:11M ep:53K epch:178.30 loss:0.002 grdn:0.146 lr:1.6e-05 updt_s:0.227 data_s:0.027
+INFO 2025-05-11 11:57:09 ts/train.py:232 step:664K smpl:11M ep:54K epch:178.35 loss:0.002 grdn:0.130 lr:1.6e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 11:57:59 ts/train.py:232 step:664K smpl:11M ep:54K epch:178.40 loss:0.002 grdn:0.124 lr:1.6e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 12:00:30 ts/train.py:232 step:665K smpl:11M ep:54K epch:178.57 loss:0.002 grdn:0.137 lr:1.6e-05 updt_s:0.227 data_s:0.013
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+INFO 2025-05-11 12:12:36 ts/train.py:232 step:668K smpl:11M ep:54K epch:179.37 loss:0.003 grdn:0.155 lr:1.6e-05 updt_s:0.227 data_s:0.015
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+INFO 2025-05-11 13:05:23 ts/train.py:232 step:681K smpl:11M ep:55K epch:182.81 loss:0.003 grdn:0.173 lr:1.4e-05 updt_s:0.227 data_s:0.020
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+INFO 2025-05-11 13:10:25 ts/train.py:232 step:682K smpl:11M ep:55K epch:183.13 loss:0.002 grdn:0.158 lr:1.4e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:11:14 ts/train.py:232 step:682K smpl:11M ep:55K epch:183.19 loss:0.002 grdn:0.144 lr:1.4e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:12:04 ts/train.py:232 step:682K smpl:11M ep:55K epch:183.24 loss:0.002 grdn:0.144 lr:1.4e-05 updt_s:0.227 data_s:0.021
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+INFO 2025-05-11 13:16:17 ts/train.py:232 step:683K smpl:11M ep:55K epch:183.51 loss:0.002 grdn:0.141 lr:1.4e-05 updt_s:0.226 data_s:0.022
+INFO 2025-05-11 13:17:07 ts/train.py:232 step:683K smpl:11M ep:55K epch:183.56 loss:0.002 grdn:0.142 lr:1.4e-05 updt_s:0.226 data_s:0.025
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+INFO 2025-05-11 13:19:37 ts/train.py:232 step:684K smpl:11M ep:55K epch:183.72 loss:0.002 grdn:0.142 lr:1.4e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 13:21:17 ts/train.py:232 step:684K smpl:11M ep:55K epch:183.83 loss:0.002 grdn:0.140 lr:1.4e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:22:07 ts/train.py:232 step:685K smpl:11M ep:55K epch:183.88 loss:0.002 grdn:0.143 lr:1.4e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 13:22:57 ts/train.py:232 step:685K smpl:11M ep:55K epch:183.94 loss:0.002 grdn:0.146 lr:1.3e-05 updt_s:0.227 data_s:0.024
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+INFO 2025-05-11 13:24:38 ts/train.py:232 step:685K smpl:11M ep:55K epch:184.05 loss:0.002 grdn:0.141 lr:1.3e-05 updt_s:0.227 data_s:0.025
+INFO 2025-05-11 13:25:28 ts/train.py:232 step:685K smpl:11M ep:55K epch:184.10 loss:0.002 grdn:0.144 lr:1.3e-05 updt_s:0.227 data_s:0.025
+INFO 2025-05-11 13:26:18 ts/train.py:232 step:686K smpl:11M ep:55K epch:184.15 loss:0.002 grdn:0.147 lr:1.3e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 13:27:09 ts/train.py:232 step:686K smpl:11M ep:55K epch:184.21 loss:0.002 grdn:0.131 lr:1.3e-05 updt_s:0.226 data_s:0.025
+INFO 2025-05-11 13:27:58 ts/train.py:232 step:686K smpl:11M ep:55K epch:184.26 loss:0.002 grdn:0.168 lr:1.3e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:28:50 ts/train.py:232 step:686K smpl:11M ep:55K epch:184.31 loss:0.002 grdn:0.150 lr:1.3e-05 updt_s:0.228 data_s:0.030
+INFO 2025-05-11 13:29:41 ts/train.py:232 step:686K smpl:11M ep:55K epch:184.37 loss:0.002 grdn:0.144 lr:1.3e-05 updt_s:0.228 data_s:0.026
+INFO 2025-05-11 13:30:30 ts/train.py:232 step:687K smpl:11M ep:55K epch:184.42 loss:0.002 grdn:0.146 lr:1.3e-05 updt_s:0.227 data_s:0.019
+INFO 2025-05-11 13:31:20 ts/train.py:232 step:687K smpl:11M ep:55K epch:184.47 loss:0.002 grdn:0.148 lr:1.3e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:32:10 ts/train.py:232 step:687K smpl:11M ep:55K epch:184.53 loss:0.002 grdn:0.144 lr:1.3e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 13:33:00 ts/train.py:232 step:687K smpl:11M ep:55K epch:184.58 loss:0.002 grdn:0.152 lr:1.3e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:33:49 ts/train.py:232 step:687K smpl:11M ep:55K epch:184.64 loss:0.002 grdn:0.147 lr:1.3e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:34:39 ts/train.py:232 step:688K smpl:11M ep:55K epch:184.69 loss:0.002 grdn:0.151 lr:1.3e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:35:29 ts/train.py:232 step:688K smpl:11M ep:55K epch:184.74 loss:0.002 grdn:0.141 lr:1.3e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:36:18 ts/train.py:232 step:688K smpl:11M ep:55K epch:184.80 loss:0.002 grdn:0.139 lr:1.3e-05 updt_s:0.227 data_s:0.018
+INFO 2025-05-11 13:37:07 ts/train.py:232 step:688K smpl:11M ep:55K epch:184.85 loss:0.002 grdn:0.140 lr:1.3e-05 updt_s:0.227 data_s:0.019
+INFO 2025-05-11 13:37:57 ts/train.py:232 step:688K smpl:11M ep:55K epch:184.90 loss:0.002 grdn:0.122 lr:1.3e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 13:38:47 ts/train.py:232 step:689K smpl:11M ep:55K epch:184.96 loss:0.002 grdn:0.143 lr:1.3e-05 updt_s:0.227 data_s:0.022
+INFO 2025-05-11 13:39:37 ts/train.py:232 step:689K smpl:11M ep:56K epch:185.01 loss:0.002 grdn:0.143 lr:1.3e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:40:27 ts/train.py:232 step:689K smpl:11M ep:56K epch:185.07 loss:0.002 grdn:0.158 lr:1.3e-05 updt_s:0.227 data_s:0.020
+INFO 2025-05-11 13:41:17 ts/train.py:232 step:689K smpl:11M ep:56K epch:185.12 loss:0.002 grdn:0.143 lr:1.3e-05 updt_s:0.227 data_s:0.023
+INFO 2025-05-11 13:42:07 ts/train.py:232 step:689K smpl:11M ep:56K epch:185.17 loss:0.002 grdn:0.131 lr:1.3e-05 updt_s:0.227 data_s:0.021
+INFO 2025-05-11 13:42:57 ts/train.py:232 step:690K smpl:11M ep:56K epch:185.23 loss:0.002 grdn:0.149 lr:1.3e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 13:43:51 ts/train.py:232 step:690K smpl:11M ep:56K epch:185.28 loss:0.002 grdn:0.152 lr:1.3e-05 updt_s:0.226 data_s:0.044
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+INFO 2025-05-11 13:44:42 ts/train.py:241 Checkpoint policy after step 690000
+INFO 2025-05-11 13:45:37 ts/train.py:232 step:690K smpl:11M ep:56K epch:185.39 loss:0.003 grdn:0.165 lr:1.3e-05 updt_s:0.227 data_s:0.023
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+INFO 2025-05-11 13:48:08 ts/train.py:232 step:691K smpl:11M ep:56K epch:185.55 loss:0.002 grdn:0.150 lr:1.3e-05 updt_s:0.227 data_s:0.026
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+INFO 2025-05-11 13:49:50 ts/train.py:232 step:691K smpl:11M ep:56K epch:185.66 loss:0.003 grdn:0.166 lr:1.3e-05 updt_s:0.227 data_s:0.025
+INFO 2025-05-11 13:50:40 ts/train.py:232 step:691K smpl:11M ep:56K epch:185.71 loss:0.002 grdn:0.158 lr:1.3e-05 updt_s:0.227 data_s:0.024
+INFO 2025-05-11 13:51:31 ts/train.py:232 step:692K smpl:11M ep:56K epch:185.76 loss:0.002 grdn:0.135 lr:1.3e-05 updt_s:0.227 data_s:0.026
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