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diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/debug.log b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/debug.log
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diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/output.log b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/output.log
new file mode 100644
index 0000000000000000000000000000000000000000..1d48f601bad59faa3fef49eedf54774e0f040517
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/output.log
@@ -0,0 +1,1038 @@
+[1m[34mLogs will be synced with wandb.[0m
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+INFO 2025-05-05 13:48:54 ts/train.py:138 Creating policy
+INFO 2025-05-05 13:49:00 ts/train.py:144 Creating optimizer and scheduler
+INFO 2025-05-05 13:49:00 ts/train.py:156 [1m[33mOutput dir:[0m /SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4
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+INFO 2025-05-05 13:49:00 ts/train.py:163 num_total_params=92243036 (92M)
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+INFO 2025-05-05 15:25:21 ts/train.py:232 step:13K smpl:106K ep:545 epch:1.82 loss:0.027 grdn:0.375 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 15:26:49 ts/train.py:232 step:13K smpl:107K ep:554 epch:1.85 loss:0.025 grdn:0.367 lr:1.0e-04 updt_s:0.434 data_s:0.001
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+INFO 2025-05-05 15:31:12 ts/train.py:232 step:14K smpl:112K ep:578 epch:1.93 loss:0.025 grdn:0.360 lr:1.0e-04 updt_s:0.434 data_s:0.010
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+INFO 2025-05-05 15:37:01 ts/train.py:232 step:15K smpl:118K ep:611 epch:2.04 loss:0.022 grdn:0.344 lr:1.0e-04 updt_s:0.435 data_s:0.001
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+INFO 2025-05-05 15:47:12 ts/train.py:232 step:16K smpl:130K ep:669 epch:2.23 loss:0.024 grdn:0.356 lr:1.0e-04 updt_s:0.435 data_s:0.001
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+INFO 2025-05-05 16:04:38 ts/train.py:232 step:19K smpl:149K ep:768 epch:2.56 loss:0.024 grdn:0.352 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:06:05 ts/train.py:232 step:19K smpl:150K ep:777 epch:2.59 loss:0.023 grdn:0.335 lr:1.0e-04 updt_s:0.434 data_s:0.001
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+INFO 2025-05-05 16:08:59 ts/train.py:232 step:19K smpl:154K ep:793 epch:2.64 loss:0.022 grdn:0.320 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:10:26 ts/train.py:232 step:19K smpl:155K ep:802 epch:2.67 loss:0.021 grdn:0.316 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:11:53 ts/train.py:232 step:20K smpl:157K ep:810 epch:2.70 loss:0.020 grdn:0.310 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:13:20 ts/train.py:232 step:20K smpl:158K ep:818 epch:2.73 loss:0.020 grdn:0.311 lr:1.0e-04 updt_s:0.434 data_s:0.001
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+INFO 2025-05-05 16:16:15 ts/train.py:232 step:20K smpl:162K ep:835 epch:2.78 loss:0.026 grdn:0.364 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:17:42 ts/train.py:232 step:20K smpl:163K ep:843 epch:2.81 loss:0.021 grdn:0.327 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:19:09 ts/train.py:232 step:21K smpl:165K ep:851 epch:2.84 loss:0.022 grdn:0.325 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:20:36 ts/train.py:232 step:21K smpl:166K ep:859 epch:2.86 loss:0.021 grdn:0.323 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:22:06 ts/train.py:232 step:21K smpl:168K ep:868 epch:2.89 loss:0.021 grdn:0.314 lr:1.0e-04 updt_s:0.435 data_s:0.010
+INFO 2025-05-05 16:23:33 ts/train.py:232 step:21K smpl:170K ep:876 epch:2.92 loss:0.021 grdn:0.329 lr:1.0e-04 updt_s:0.435 data_s:0.001
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+INFO 2025-05-05 16:26:27 ts/train.py:232 step:22K smpl:173K ep:892 epch:2.97 loss:0.023 grdn:0.326 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:27:55 ts/train.py:232 step:22K smpl:174K ep:901 epch:3.00 loss:0.022 grdn:0.327 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:29:22 ts/train.py:232 step:22K smpl:176K ep:909 epch:3.03 loss:0.021 grdn:0.322 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:30:49 ts/train.py:232 step:22K smpl:178K ep:917 epch:3.06 loss:0.023 grdn:0.341 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:32:16 ts/train.py:232 step:22K smpl:179K ep:925 epch:3.08 loss:0.021 grdn:0.315 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:33:44 ts/train.py:232 step:23K smpl:181K ep:934 epch:3.11 loss:0.020 grdn:0.310 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:35:11 ts/train.py:232 step:23K smpl:182K ep:942 epch:3.14 loss:0.021 grdn:0.309 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 16:36:38 ts/train.py:232 step:23K smpl:184K ep:950 epch:3.17 loss:0.019 grdn:0.312 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:38:05 ts/train.py:232 step:23K smpl:186K ep:959 epch:3.20 loss:0.018 grdn:0.283 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:39:32 ts/train.py:232 step:23K smpl:187K ep:967 epch:3.22 loss:0.021 grdn:0.328 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 16:40:59 ts/train.py:232 step:24K smpl:189K ep:975 epch:3.25 loss:0.021 grdn:0.308 lr:1.0e-04 updt_s:0.434 data_s:0.000
+INFO 2025-05-05 16:42:26 ts/train.py:232 step:24K smpl:190K ep:983 epch:3.28 loss:0.021 grdn:0.313 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:43:53 ts/train.py:232 step:24K smpl:192K ep:992 epch:3.31 loss:0.022 grdn:0.314 lr:1.0e-04 updt_s:0.433 data_s:0.001
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+INFO 2025-05-05 16:46:47 ts/train.py:232 step:24K smpl:195K ep:1K epch:3.36 loss:0.020 grdn:0.316 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 16:48:14 ts/train.py:232 step:25K smpl:197K ep:1K epch:3.39 loss:0.019 grdn:0.300 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 16:49:41 ts/train.py:232 step:25K smpl:198K ep:1K epch:3.42 loss:0.020 grdn:0.318 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:51:08 ts/train.py:232 step:25K smpl:200K ep:1K epch:3.44 loss:0.021 grdn:0.307 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:52:35 ts/train.py:232 step:25K smpl:202K ep:1K epch:3.47 loss:0.020 grdn:0.313 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 16:54:02 ts/train.py:232 step:25K smpl:203K ep:1K epch:3.50 loss:0.021 grdn:0.323 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:55:29 ts/train.py:232 step:26K smpl:205K ep:1K epch:3.53 loss:0.023 grdn:0.333 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:56:56 ts/train.py:232 step:26K smpl:206K ep:1K epch:3.55 loss:0.019 grdn:0.294 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:58:23 ts/train.py:232 step:26K smpl:208K ep:1K epch:3.58 loss:0.020 grdn:0.315 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 16:59:50 ts/train.py:232 step:26K smpl:210K ep:1K epch:3.61 loss:0.019 grdn:0.300 lr:1.0e-04 updt_s:0.433 data_s:0.001
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+INFO 2025-05-05 17:04:11 ts/train.py:232 step:27K smpl:214K ep:1K epch:3.69 loss:0.021 grdn:0.316 lr:1.0e-04 updt_s:0.433 data_s:0.001
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+INFO 2025-05-05 17:08:33 ts/train.py:232 step:27K smpl:219K ep:1K epch:3.77 loss:0.019 grdn:0.295 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:09:59 ts/train.py:232 step:28K smpl:221K ep:1K epch:3.80 loss:0.022 grdn:0.318 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:11:27 ts/train.py:232 step:28K smpl:222K ep:1K epch:3.83 loss:0.021 grdn:0.310 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:12:55 ts/train.py:232 step:28K smpl:224K ep:1K epch:3.86 loss:0.018 grdn:0.295 lr:1.0e-04 updt_s:0.433 data_s:0.008
+INFO 2025-05-05 17:14:22 ts/train.py:232 step:28K smpl:226K ep:1K epch:3.88 loss:0.021 grdn:0.308 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:15:49 ts/train.py:232 step:28K smpl:227K ep:1K epch:3.91 loss:0.020 grdn:0.304 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:17:16 ts/train.py:232 step:29K smpl:229K ep:1K epch:3.94 loss:0.021 grdn:0.308 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:18:43 ts/train.py:232 step:29K smpl:230K ep:1K epch:3.97 loss:0.020 grdn:0.308 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:20:09 ts/train.py:232 step:29K smpl:232K ep:1K epch:3.99 loss:0.021 grdn:0.321 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:21:36 ts/train.py:232 step:29K smpl:234K ep:1K epch:4.02 loss:0.020 grdn:0.308 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:23:03 ts/train.py:232 step:29K smpl:235K ep:1K epch:4.05 loss:0.020 grdn:0.302 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:24:30 ts/train.py:232 step:30K smpl:237K ep:1K epch:4.08 loss:0.020 grdn:0.303 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:25:57 ts/train.py:232 step:30K smpl:238K ep:1K epch:4.10 loss:0.018 grdn:0.292 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:27:24 ts/train.py:232 step:30K smpl:240K ep:1K epch:4.13 loss:0.019 grdn:0.306 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:27:24 ts/train.py:241 Checkpoint policy after step 30000
+INFO 2025-05-05 17:28:54 ts/train.py:232 step:30K smpl:242K ep:1K epch:4.16 loss:0.019 grdn:0.307 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:30:21 ts/train.py:232 step:30K smpl:243K ep:1K epch:4.19 loss:0.020 grdn:0.311 lr:1.0e-04 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 17:31:48 ts/train.py:232 step:31K smpl:245K ep:1K epch:4.21 loss:0.018 grdn:0.289 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:33:15 ts/train.py:232 step:31K smpl:246K ep:1K epch:4.24 loss:0.018 grdn:0.273 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:34:43 ts/train.py:232 step:31K smpl:248K ep:1K epch:4.27 loss:0.018 grdn:0.289 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:36:10 ts/train.py:232 step:31K smpl:250K ep:1K epch:4.30 loss:0.021 grdn:0.316 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:37:37 ts/train.py:232 step:31K smpl:251K ep:1K epch:4.32 loss:0.021 grdn:0.318 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:39:04 ts/train.py:232 step:32K smpl:253K ep:1K epch:4.35 loss:0.018 grdn:0.296 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:40:31 ts/train.py:232 step:32K smpl:254K ep:1K epch:4.38 loss:0.019 grdn:0.304 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:41:59 ts/train.py:232 step:32K smpl:256K ep:1K epch:4.41 loss:0.020 grdn:0.298 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:43:26 ts/train.py:232 step:32K smpl:258K ep:1K epch:4.43 loss:0.018 grdn:0.295 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:44:53 ts/train.py:232 step:32K smpl:259K ep:1K epch:4.46 loss:0.021 grdn:0.312 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:46:20 ts/train.py:232 step:33K smpl:261K ep:1K epch:4.49 loss:0.020 grdn:0.314 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:47:48 ts/train.py:232 step:33K smpl:262K ep:1K epch:4.52 loss:0.019 grdn:0.292 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:49:15 ts/train.py:232 step:33K smpl:264K ep:1K epch:4.54 loss:0.019 grdn:0.305 lr:1.0e-04 updt_s:0.434 data_s:0.001
+INFO 2025-05-05 17:50:42 ts/train.py:232 step:33K smpl:266K ep:1K epch:4.57 loss:0.020 grdn:0.302 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:52:09 ts/train.py:232 step:33K smpl:267K ep:1K epch:4.60 loss:0.017 grdn:0.270 lr:1.0e-04 updt_s:0.435 data_s:0.001
+INFO 2025-05-05 17:53:36 ts/train.py:232 step:34K smpl:269K ep:1K epch:4.63 loss:0.019 grdn:0.303 lr:1.0e-04 updt_s:0.434 data_s:0.001
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+INFO 2025-05-05 20:58:15 ts/train.py:232 step:59K smpl:472K ep:2K epch:8.13 loss:0.015 grdn:0.264 lr:9.9e-05 updt_s:0.433 data_s:0.001
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+INFO 2025-05-05 21:05:29 ts/train.py:241 Checkpoint policy after step 60000
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+INFO 2025-05-05 21:21:28 ts/train.py:232 step:62K smpl:498K ep:3K epch:8.57 loss:0.014 grdn:0.251 lr:9.9e-05 updt_s:0.433 data_s:0.001
+INFO 2025-05-05 21:22:54 ts/train.py:232 step:62K smpl:499K ep:3K epch:8.59 loss:0.015 grdn:0.261 lr:9.9e-05 updt_s:0.432 data_s:0.001
+INFO 2025-05-05 21:24:21 ts/train.py:232 step:63K smpl:501K ep:3K epch:8.62 loss:0.014 grdn:0.244 lr:9.9e-05 updt_s:0.432 data_s:0.001
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+INFO 2025-05-05 21:31:37 ts/train.py:232 step:64K smpl:509K ep:3K epch:8.76 loss:0.016 grdn:0.278 lr:9.9e-05 updt_s:0.432 data_s:0.001
+INFO 2025-05-05 21:33:03 ts/train.py:232 step:64K smpl:510K ep:3K epch:8.79 loss:0.016 grdn:0.265 lr:9.9e-05 updt_s:0.432 data_s:0.001
+INFO 2025-05-05 21:34:30 ts/train.py:232 step:64K smpl:512K ep:3K epch:8.81 loss:0.016 grdn:0.262 lr:9.9e-05 updt_s:0.431 data_s:0.001
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+INFO 2025-05-05 21:41:44 ts/train.py:232 step:65K smpl:520K ep:3K epch:8.95 loss:0.015 grdn:0.269 lr:9.9e-05 updt_s:0.432 data_s:0.001
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+INFO 2025-05-06 00:42:05 ts/train.py:241 Checkpoint policy after step 90000
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+INFO 2025-05-06 04:17:21 ts/train.py:241 Checkpoint policy after step 120000
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+INFO 2025-05-06 06:35:00 ts/train.py:232 step:139K smpl:1M ep:6K epch:19.17 loss:0.012 grdn:0.234 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:36:26 ts/train.py:232 step:139K smpl:1M ep:6K epch:19.20 loss:0.012 grdn:0.240 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:37:52 ts/train.py:232 step:140K smpl:1M ep:6K epch:19.23 loss:0.013 grdn:0.238 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:39:18 ts/train.py:232 step:140K smpl:1M ep:6K epch:19.25 loss:0.011 grdn:0.233 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:40:48 ts/train.py:232 step:140K smpl:1M ep:6K epch:19.28 loss:0.010 grdn:0.223 lr:9.4e-05 updt_s:0.428 data_s:0.023
+INFO 2025-05-06 06:42:14 ts/train.py:232 step:140K smpl:1M ep:6K epch:19.31 loss:0.011 grdn:0.234 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:43:40 ts/train.py:232 step:140K smpl:1M ep:6K epch:19.34 loss:0.011 grdn:0.242 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:45:06 ts/train.py:232 step:141K smpl:1M ep:6K epch:19.36 loss:0.012 grdn:0.250 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 06:46:32 ts/train.py:232 step:141K smpl:1M ep:6K epch:19.39 loss:0.011 grdn:0.243 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:47:58 ts/train.py:232 step:141K smpl:1M ep:6K epch:19.42 loss:0.012 grdn:0.246 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 06:49:25 ts/train.py:232 step:141K smpl:1M ep:6K epch:19.45 loss:0.011 grdn:0.230 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 06:50:51 ts/train.py:232 step:141K smpl:1M ep:6K epch:19.47 loss:0.011 grdn:0.244 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 06:52:17 ts/train.py:232 step:142K smpl:1M ep:6K epch:19.50 loss:0.012 grdn:0.242 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 06:53:43 ts/train.py:232 step:142K smpl:1M ep:6K epch:19.53 loss:0.011 grdn:0.229 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:55:09 ts/train.py:232 step:142K smpl:1M ep:6K epch:19.56 loss:0.014 grdn:0.259 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:56:35 ts/train.py:232 step:142K smpl:1M ep:6K epch:19.58 loss:0.011 grdn:0.237 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:58:00 ts/train.py:232 step:142K smpl:1M ep:6K epch:19.61 loss:0.010 grdn:0.216 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 06:59:26 ts/train.py:232 step:143K smpl:1M ep:6K epch:19.64 loss:0.012 grdn:0.252 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:00:52 ts/train.py:232 step:143K smpl:1M ep:6K epch:19.67 loss:0.012 grdn:0.247 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:02:18 ts/train.py:232 step:143K smpl:1M ep:6K epch:19.69 loss:0.012 grdn:0.252 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:03:44 ts/train.py:232 step:143K smpl:1M ep:6K epch:19.72 loss:0.010 grdn:0.220 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:05:10 ts/train.py:232 step:143K smpl:1M ep:6K epch:19.75 loss:0.012 grdn:0.236 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:06:36 ts/train.py:232 step:144K smpl:1M ep:6K epch:19.78 loss:0.011 grdn:0.231 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:08:02 ts/train.py:232 step:144K smpl:1M ep:6K epch:19.80 loss:0.010 grdn:0.217 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:09:28 ts/train.py:232 step:144K smpl:1M ep:6K epch:19.83 loss:0.011 grdn:0.228 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:10:53 ts/train.py:232 step:144K smpl:1M ep:6K epch:19.86 loss:0.011 grdn:0.236 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:12:19 ts/train.py:232 step:144K smpl:1M ep:6K epch:19.89 loss:0.011 grdn:0.236 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:13:45 ts/train.py:232 step:145K smpl:1M ep:6K epch:19.91 loss:0.012 grdn:0.250 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:15:11 ts/train.py:232 step:145K smpl:1M ep:6K epch:19.94 loss:0.011 grdn:0.240 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 07:16:37 ts/train.py:232 step:145K smpl:1M ep:6K epch:19.97 loss:0.010 grdn:0.229 lr:9.4e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 07:18:03 ts/train.py:232 step:145K smpl:1M ep:6K epch:20.00 loss:0.011 grdn:0.239 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:19:29 ts/train.py:232 step:145K smpl:1M ep:6K epch:20.02 loss:0.011 grdn:0.222 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:20:55 ts/train.py:232 step:146K smpl:1M ep:6K epch:20.05 loss:0.011 grdn:0.243 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:22:21 ts/train.py:232 step:146K smpl:1M ep:6K epch:20.08 loss:0.011 grdn:0.228 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:23:47 ts/train.py:232 step:146K smpl:1M ep:6K epch:20.11 loss:0.011 grdn:0.233 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:25:13 ts/train.py:232 step:146K smpl:1M ep:6K epch:20.13 loss:0.011 grdn:0.225 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:26:38 ts/train.py:232 step:146K smpl:1M ep:6K epch:20.16 loss:0.012 grdn:0.244 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:28:04 ts/train.py:232 step:147K smpl:1M ep:6K epch:20.19 loss:0.011 grdn:0.234 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:29:30 ts/train.py:232 step:147K smpl:1M ep:6K epch:20.22 loss:0.011 grdn:0.234 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:30:57 ts/train.py:232 step:147K smpl:1M ep:6K epch:20.24 loss:0.012 grdn:0.247 lr:9.4e-05 updt_s:0.427 data_s:0.007
+INFO 2025-05-06 07:32:23 ts/train.py:232 step:147K smpl:1M ep:6K epch:20.27 loss:0.011 grdn:0.234 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:33:49 ts/train.py:232 step:147K smpl:1M ep:6K epch:20.30 loss:0.010 grdn:0.235 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:35:15 ts/train.py:232 step:148K smpl:1M ep:6K epch:20.33 loss:0.011 grdn:0.240 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:36:41 ts/train.py:232 step:148K smpl:1M ep:6K epch:20.35 loss:0.011 grdn:0.242 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:38:06 ts/train.py:232 step:148K smpl:1M ep:6K epch:20.38 loss:0.010 grdn:0.226 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:39:32 ts/train.py:232 step:148K smpl:1M ep:6K epch:20.41 loss:0.011 grdn:0.239 lr:9.4e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:40:58 ts/train.py:232 step:148K smpl:1M ep:6K epch:20.44 loss:0.010 grdn:0.224 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:42:24 ts/train.py:232 step:149K smpl:1M ep:6K epch:20.46 loss:0.012 grdn:0.250 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:43:50 ts/train.py:232 step:149K smpl:1M ep:6K epch:20.49 loss:0.012 grdn:0.255 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:45:16 ts/train.py:232 step:149K smpl:1M ep:6K epch:20.52 loss:0.012 grdn:0.259 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:46:42 ts/train.py:232 step:149K smpl:1M ep:6K epch:20.55 loss:0.012 grdn:0.247 lr:9.3e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 07:48:08 ts/train.py:232 step:149K smpl:1M ep:6K epch:20.57 loss:0.010 grdn:0.232 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:49:34 ts/train.py:232 step:150K smpl:1M ep:6K epch:20.60 loss:0.011 grdn:0.242 lr:9.3e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 07:51:00 ts/train.py:232 step:150K smpl:1M ep:6K epch:20.63 loss:0.010 grdn:0.229 lr:9.3e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 07:52:26 ts/train.py:232 step:150K smpl:1M ep:6K epch:20.66 loss:0.010 grdn:0.240 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:52:26 ts/train.py:241 Checkpoint policy after step 150000
+INFO 2025-05-06 07:53:55 ts/train.py:232 step:150K smpl:1M ep:6K epch:20.69 loss:0.012 grdn:0.249 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 07:55:21 ts/train.py:232 step:150K smpl:1M ep:6K epch:20.71 loss:0.011 grdn:0.233 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:56:46 ts/train.py:232 step:151K smpl:1M ep:6K epch:20.74 loss:0.011 grdn:0.241 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 07:58:12 ts/train.py:232 step:151K smpl:1M ep:6K epch:20.77 loss:0.012 grdn:0.248 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 07:59:38 ts/train.py:232 step:151K smpl:1M ep:6K epch:20.80 loss:0.012 grdn:0.241 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:01:04 ts/train.py:232 step:151K smpl:1M ep:6K epch:20.82 loss:0.011 grdn:0.241 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:02:30 ts/train.py:232 step:151K smpl:1M ep:6K epch:20.85 loss:0.012 grdn:0.252 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:03:56 ts/train.py:232 step:152K smpl:1M ep:6K epch:20.88 loss:0.011 grdn:0.229 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:05:22 ts/train.py:232 step:152K smpl:1M ep:6K epch:20.91 loss:0.010 grdn:0.229 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:06:48 ts/train.py:232 step:152K smpl:1M ep:6K epch:20.93 loss:0.012 grdn:0.246 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:08:14 ts/train.py:232 step:152K smpl:1M ep:6K epch:20.96 loss:0.011 grdn:0.233 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:09:40 ts/train.py:232 step:152K smpl:1M ep:6K epch:20.99 loss:0.010 grdn:0.222 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:11:06 ts/train.py:232 step:153K smpl:1M ep:6K epch:21.02 loss:0.010 grdn:0.233 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:12:32 ts/train.py:232 step:153K smpl:1M ep:6K epch:21.04 loss:0.011 grdn:0.234 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:13:57 ts/train.py:232 step:153K smpl:1M ep:6K epch:21.07 loss:0.011 grdn:0.235 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:15:23 ts/train.py:232 step:153K smpl:1M ep:6K epch:21.10 loss:0.011 grdn:0.240 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:16:49 ts/train.py:232 step:153K smpl:1M ep:6K epch:21.13 loss:0.011 grdn:0.242 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:18:15 ts/train.py:232 step:154K smpl:1M ep:6K epch:21.15 loss:0.010 grdn:0.235 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:19:41 ts/train.py:232 step:154K smpl:1M ep:6K epch:21.18 loss:0.013 grdn:0.251 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:21:08 ts/train.py:232 step:154K smpl:1M ep:6K epch:21.21 loss:0.011 grdn:0.242 lr:9.3e-05 updt_s:0.427 data_s:0.007
+INFO 2025-05-06 08:22:33 ts/train.py:232 step:154K smpl:1M ep:6K epch:21.24 loss:0.012 grdn:0.238 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:23:59 ts/train.py:232 step:154K smpl:1M ep:6K epch:21.26 loss:0.011 grdn:0.240 lr:9.3e-05 updt_s:0.427 data_s:0.001
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+INFO 2025-05-06 08:26:51 ts/train.py:232 step:155K smpl:1M ep:6K epch:21.32 loss:0.009 grdn:0.227 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:28:17 ts/train.py:232 step:155K smpl:1M ep:6K epch:21.35 loss:0.012 grdn:0.239 lr:9.3e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 08:31:09 ts/train.py:232 step:155K smpl:1M ep:6K epch:21.40 loss:0.011 grdn:0.234 lr:9.3e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 08:38:18 ts/train.py:232 step:156K smpl:1M ep:6K epch:21.54 loss:0.011 grdn:0.246 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:39:44 ts/train.py:232 step:157K smpl:1M ep:6K epch:21.57 loss:0.011 grdn:0.239 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:41:10 ts/train.py:232 step:157K smpl:1M ep:6K epch:21.59 loss:0.012 grdn:0.240 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:42:35 ts/train.py:232 step:157K smpl:1M ep:6K epch:21.62 loss:0.011 grdn:0.234 lr:9.3e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 08:48:19 ts/train.py:232 step:158K smpl:1M ep:7K epch:21.73 loss:0.010 grdn:0.221 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:49:44 ts/train.py:232 step:158K smpl:1M ep:7K epch:21.76 loss:0.011 grdn:0.238 lr:9.3e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 08:51:10 ts/train.py:232 step:158K smpl:1M ep:7K epch:21.79 loss:0.011 grdn:0.234 lr:9.3e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 08:52:36 ts/train.py:232 step:158K smpl:1M ep:7K epch:21.81 loss:0.011 grdn:0.241 lr:9.3e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 08:58:19 ts/train.py:232 step:159K smpl:1M ep:7K epch:21.92 loss:0.011 grdn:0.238 lr:9.3e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 09:05:29 ts/train.py:232 step:160K smpl:1M ep:7K epch:22.06 loss:0.011 grdn:0.242 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:06:55 ts/train.py:232 step:160K smpl:1M ep:7K epch:22.09 loss:0.012 grdn:0.230 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:08:21 ts/train.py:232 step:161K smpl:1M ep:7K epch:22.12 loss:0.011 grdn:0.236 lr:9.2e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 09:11:14 ts/train.py:232 step:161K smpl:1M ep:7K epch:22.17 loss:0.009 grdn:0.202 lr:9.2e-05 updt_s:0.428 data_s:0.009
+INFO 2025-05-06 09:12:40 ts/train.py:232 step:161K smpl:1M ep:7K epch:22.20 loss:0.011 grdn:0.246 lr:9.2e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 09:19:50 ts/train.py:232 step:162K smpl:1M ep:7K epch:22.34 loss:0.010 grdn:0.226 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:21:16 ts/train.py:232 step:162K smpl:1M ep:7K epch:22.37 loss:0.011 grdn:0.243 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:22:42 ts/train.py:232 step:163K smpl:1M ep:7K epch:22.39 loss:0.011 grdn:0.240 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:24:08 ts/train.py:232 step:163K smpl:1M ep:7K epch:22.42 loss:0.012 grdn:0.245 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:25:34 ts/train.py:232 step:163K smpl:1M ep:7K epch:22.45 loss:0.011 grdn:0.240 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:26:59 ts/train.py:232 step:163K smpl:1M ep:7K epch:22.48 loss:0.011 grdn:0.228 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:28:25 ts/train.py:232 step:163K smpl:1M ep:7K epch:22.50 loss:0.011 grdn:0.228 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:29:51 ts/train.py:232 step:164K smpl:1M ep:7K epch:22.53 loss:0.010 grdn:0.223 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:31:17 ts/train.py:232 step:164K smpl:1M ep:7K epch:22.56 loss:0.010 grdn:0.233 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:32:43 ts/train.py:232 step:164K smpl:1M ep:7K epch:22.59 loss:0.011 grdn:0.245 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 09:34:09 ts/train.py:232 step:164K smpl:1M ep:7K epch:22.61 loss:0.009 grdn:0.216 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:35:35 ts/train.py:232 step:164K smpl:1M ep:7K epch:22.64 loss:0.011 grdn:0.237 lr:9.2e-05 updt_s:0.429 data_s:0.001
+INFO 2025-05-06 09:37:01 ts/train.py:232 step:165K smpl:1M ep:7K epch:22.67 loss:0.011 grdn:0.238 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:38:27 ts/train.py:232 step:165K smpl:1M ep:7K epch:22.70 loss:0.010 grdn:0.226 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:39:53 ts/train.py:232 step:165K smpl:1M ep:7K epch:22.72 loss:0.010 grdn:0.224 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:41:18 ts/train.py:232 step:165K smpl:1M ep:7K epch:22.75 loss:0.011 grdn:0.229 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:42:44 ts/train.py:232 step:165K smpl:1M ep:7K epch:22.78 loss:0.011 grdn:0.239 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:44:10 ts/train.py:232 step:166K smpl:1M ep:7K epch:22.81 loss:0.011 grdn:0.237 lr:9.2e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 09:48:28 ts/train.py:232 step:166K smpl:1M ep:7K epch:22.89 loss:0.012 grdn:0.244 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:49:54 ts/train.py:232 step:166K smpl:1M ep:7K epch:22.92 loss:0.010 grdn:0.223 lr:9.2e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 09:54:11 ts/train.py:232 step:167K smpl:1M ep:7K epch:23.00 loss:0.011 grdn:0.232 lr:9.2e-05 updt_s:0.427 data_s:0.001
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+INFO 2025-05-06 09:57:03 ts/train.py:232 step:167K smpl:1M ep:7K epch:23.05 loss:0.011 grdn:0.232 lr:9.2e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 09:58:29 ts/train.py:232 step:168K smpl:1M ep:7K epch:23.08 loss:0.011 grdn:0.244 lr:9.2e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 10:01:22 ts/train.py:232 step:168K smpl:1M ep:7K epch:23.14 loss:0.010 grdn:0.232 lr:9.2e-05 updt_s:0.427 data_s:0.009
+INFO 2025-05-06 10:02:48 ts/train.py:232 step:168K smpl:1M ep:7K epch:23.16 loss:0.010 grdn:0.230 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:04:14 ts/train.py:232 step:168K smpl:1M ep:7K epch:23.19 loss:0.010 grdn:0.236 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:05:39 ts/train.py:232 step:169K smpl:1M ep:7K epch:23.22 loss:0.011 grdn:0.242 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:07:05 ts/train.py:232 step:169K smpl:1M ep:7K epch:23.25 loss:0.010 grdn:0.215 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:08:31 ts/train.py:232 step:169K smpl:1M ep:7K epch:23.27 loss:0.011 grdn:0.237 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:09:57 ts/train.py:232 step:169K smpl:1M ep:7K epch:23.30 loss:0.011 grdn:0.244 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:11:22 ts/train.py:232 step:169K smpl:1M ep:7K epch:23.33 loss:0.011 grdn:0.235 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:12:48 ts/train.py:232 step:170K smpl:1M ep:7K epch:23.36 loss:0.010 grdn:0.236 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:14:14 ts/train.py:232 step:170K smpl:1M ep:7K epch:23.38 loss:0.010 grdn:0.234 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:15:39 ts/train.py:232 step:170K smpl:1M ep:7K epch:23.41 loss:0.011 grdn:0.235 lr:9.2e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:17:05 ts/train.py:232 step:170K smpl:1M ep:7K epch:23.44 loss:0.011 grdn:0.229 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:18:31 ts/train.py:232 step:170K smpl:1M ep:7K epch:23.47 loss:0.010 grdn:0.227 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:19:57 ts/train.py:232 step:171K smpl:1M ep:7K epch:23.49 loss:0.010 grdn:0.234 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:21:22 ts/train.py:232 step:171K smpl:1M ep:7K epch:23.52 loss:0.010 grdn:0.226 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:22:48 ts/train.py:232 step:171K smpl:1M ep:7K epch:23.55 loss:0.011 grdn:0.230 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:24:14 ts/train.py:232 step:171K smpl:1M ep:7K epch:23.58 loss:0.011 grdn:0.240 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:25:39 ts/train.py:232 step:171K smpl:1M ep:7K epch:23.60 loss:0.010 grdn:0.224 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:27:05 ts/train.py:232 step:172K smpl:1M ep:7K epch:23.63 loss:0.010 grdn:0.242 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:28:31 ts/train.py:232 step:172K smpl:1M ep:7K epch:23.66 loss:0.011 grdn:0.244 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:29:57 ts/train.py:232 step:172K smpl:1M ep:7K epch:23.69 loss:0.010 grdn:0.232 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:31:22 ts/train.py:232 step:172K smpl:1M ep:7K epch:23.71 loss:0.011 grdn:0.235 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:32:48 ts/train.py:232 step:172K smpl:1M ep:7K epch:23.74 loss:0.011 grdn:0.237 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:34:14 ts/train.py:232 step:173K smpl:1M ep:7K epch:23.77 loss:0.011 grdn:0.239 lr:9.1e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 10:37:05 ts/train.py:232 step:173K smpl:1M ep:7K epch:23.83 loss:0.010 grdn:0.228 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:38:31 ts/train.py:232 step:173K smpl:1M ep:7K epch:23.85 loss:0.010 grdn:0.219 lr:9.1e-05 updt_s:0.426 data_s:0.001
+INFO 2025-05-06 10:39:57 ts/train.py:232 step:173K smpl:1M ep:7K epch:23.88 loss:0.011 grdn:0.233 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:41:22 ts/train.py:232 step:174K smpl:1M ep:7K epch:23.91 loss:0.011 grdn:0.238 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:42:48 ts/train.py:232 step:174K smpl:1M ep:7K epch:23.94 loss:0.011 grdn:0.239 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:44:14 ts/train.py:232 step:174K smpl:1M ep:7K epch:23.96 loss:0.009 grdn:0.221 lr:9.1e-05 updt_s:0.427 data_s:0.001
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+INFO 2025-05-06 10:48:31 ts/train.py:232 step:175K smpl:1M ep:7K epch:24.05 loss:0.011 grdn:0.241 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 10:49:56 ts/train.py:232 step:175K smpl:1M ep:7K epch:24.07 loss:0.011 grdn:0.241 lr:9.1e-05 updt_s:0.427 data_s:0.001
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+INFO 2025-05-06 10:52:50 ts/train.py:232 step:175K smpl:1M ep:7K epch:24.13 loss:0.011 grdn:0.234 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 10:54:15 ts/train.py:232 step:175K smpl:1M ep:7K epch:24.16 loss:0.011 grdn:0.224 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 10:55:41 ts/train.py:232 step:176K smpl:1M ep:7K epch:24.18 loss:0.011 grdn:0.234 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 10:57:07 ts/train.py:232 step:176K smpl:1M ep:7K epch:24.21 loss:0.011 grdn:0.238 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 10:58:33 ts/train.py:232 step:176K smpl:1M ep:7K epch:24.24 loss:0.012 grdn:0.243 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 10:59:59 ts/train.py:232 step:176K smpl:1M ep:7K epch:24.27 loss:0.010 grdn:0.239 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:01:25 ts/train.py:232 step:176K smpl:1M ep:7K epch:24.29 loss:0.012 grdn:0.243 lr:9.1e-05 updt_s:0.428 data_s:0.001
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+INFO 2025-05-06 11:08:34 ts/train.py:232 step:177K smpl:1M ep:7K epch:24.43 loss:0.011 grdn:0.241 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:10:00 ts/train.py:232 step:178K smpl:1M ep:7K epch:24.46 loss:0.010 grdn:0.220 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:11:26 ts/train.py:232 step:178K smpl:1M ep:7K epch:24.49 loss:0.010 grdn:0.230 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:12:51 ts/train.py:232 step:178K smpl:1M ep:7K epch:24.51 loss:0.010 grdn:0.241 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:14:17 ts/train.py:232 step:178K smpl:1M ep:7K epch:24.54 loss:0.010 grdn:0.221 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:15:43 ts/train.py:232 step:178K smpl:1M ep:7K epch:24.57 loss:0.011 grdn:0.242 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:17:09 ts/train.py:232 step:179K smpl:1M ep:7K epch:24.60 loss:0.010 grdn:0.227 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:18:35 ts/train.py:232 step:179K smpl:1M ep:7K epch:24.62 loss:0.011 grdn:0.243 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 11:20:00 ts/train.py:232 step:179K smpl:1M ep:7K epch:24.65 loss:0.011 grdn:0.235 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:21:26 ts/train.py:232 step:179K smpl:1M ep:7K epch:24.68 loss:0.011 grdn:0.243 lr:9.1e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 11:22:52 ts/train.py:232 step:179K smpl:1M ep:7K epch:24.71 loss:0.011 grdn:0.239 lr:9.1e-05 updt_s:0.428 data_s:0.000
+INFO 2025-05-06 11:24:18 ts/train.py:232 step:180K smpl:1M ep:7K epch:24.73 loss:0.010 grdn:0.227 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 11:25:44 ts/train.py:232 step:180K smpl:1M ep:7K epch:24.76 loss:0.010 grdn:0.224 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 11:27:09 ts/train.py:232 step:180K smpl:1M ep:7K epch:24.79 loss:0.011 grdn:0.235 lr:9.1e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 11:27:09 ts/train.py:241 Checkpoint policy after step 180000
+INFO 2025-05-06 11:28:38 ts/train.py:232 step:180K smpl:1M ep:7K epch:24.82 loss:0.009 grdn:0.221 lr:9.0e-05 updt_s:0.426 data_s:0.001
+INFO 2025-05-06 11:30:04 ts/train.py:232 step:180K smpl:1M ep:7K epch:24.84 loss:0.011 grdn:0.237 lr:9.0e-05 updt_s:0.427 data_s:0.001
+INFO 2025-05-06 11:31:30 ts/train.py:232 step:181K smpl:1M ep:7K epch:24.87 loss:0.011 grdn:0.240 lr:9.0e-05 updt_s:0.427 data_s:0.001
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+INFO 2025-05-06 14:16:00 ts/train.py:232 step:204K smpl:2M ep:8K epch:28.04 loss:0.010 grdn:0.231 lr:8.8e-05 updt_s:0.428 data_s:0.001
+INFO 2025-05-06 14:17:26 ts/train.py:232 step:204K smpl:2M ep:8K epch:28.07 loss:0.011 grdn:0.239 lr:8.8e-05 updt_s:0.428 data_s:0.001
diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/requirements.txt b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..8fc771efb7757d31b751b471861a827f2ce353fc
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/requirements.txt
@@ -0,0 +1,146 @@
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+torch==2.6.0
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+gitdb==4.0.12
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+packaging==24.2
+numba==0.61.2
+safetensors==0.5.3
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+fsspec==2024.12.0
+filelock==3.18.0
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+cloudpickle==3.1.1
+pillow==11.2.1
+lerobot==0.1.0
+inquirerpy==0.3.4
+charset-normalizer==3.4.1
+PySocks==1.7.1
+pycparser==2.22
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+evdev==1.9.1
+dill==0.3.8
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+nvidia-nvjitlink-cu12==12.4.127
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+regex==2024.11.6
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+fasteners==0.19
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+xxhash==3.5.0
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+nvidia-curand-cu12==10.3.5.147
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+typing-inspection==0.4.0
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+torchvision==0.21.0
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+networkx==3.4.2
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+idna==3.10
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+frozenlist==1.5.0
+gdown==5.2.0
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+blinker==1.9.0
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+aiosignal==1.3.2
+pyarrow==19.0.1
+nvidia-nccl-cu12==2.21.5
+h5py==3.13.0
+TorchCodec==0.2.1
+datasets==3.5.0
+nvidia-nvtx-cu12==12.4.127
+packaging==24.2
+importlib_metadata==8.0.0
+autocommand==2.2.2
+typing_extensions==4.12.2
+zipp==3.19.2
+platformdirs==4.2.2
+jaraco.collections==5.1.0
+jaraco.text==3.12.1
+jaraco.context==5.3.0
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+typeguard==4.3.0
+tomli==2.0.1
+more-itertools==10.3.0
+backports.tarfile==1.2.0
+jaraco.functools==4.0.1
+inflect==7.3.1
diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/wandb-metadata.json b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/wandb-metadata.json
new file mode 100644
index 0000000000000000000000000000000000000000..01801032290a5e689552fd9e62066aab0d7a6968
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/files/wandb-metadata.json
@@ -0,0 +1,109 @@
+{
+ "os": "Linux-6.8.0-58-generic-x86_64-with-glibc2.35",
+ "python": "CPython 3.10.17",
+ "startedAt": "2025-05-05T13:48:51.866135Z",
+ "args": [
+ "--dataset.repo_id=shylee/so100_pengripA",
+ "--policy.type=diffusion",
+ "--policy.device=cuda",
+ "--dataset.root=/SSD/LSY/lerobot_dataset/pengripA",
+ "--wandb.enable=true",
+ "--save_freq=30000",
+ "--steps=900000",
+ "--policy.noise_scheduler_type=DDIM",
+ "--policy.num_inference_steps=10",
+ "--batch_size=8",
+ "--policy.down_dims=[256,512,1024]",
+ "--policy.vision_backbone=resnet50",
+ "--policy.pretrained_backbone_weights=ResNet50_Weights.IMAGENET1K_V1",
+ "--policy.use_group_norm=false",
+ "--policy.crop_shape=[480,640]",
+ "--policy.crop_is_random=false",
+ "--policy.freeze_vision_backbone=false",
+ "--policy.horizon=16",
+ "--policy.n_action_steps=16",
+ "--policy.optimizer_lr=0.0001",
+ "--policy.use_ema=true",
+ "--policy.ema_lambda=0.5",
+ "--output_dir=/SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4",
+ "--job_name=DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4"
+ ],
+ "program": "/NAS/LSY/lerobot/lerobot/scripts/train.py",
+ "codePath": "lerobot/scripts/train.py",
+ "git": {
+ "remote": "https://github.com/huggingface/lerobot.git",
+ "commit": "42bf1e8b9df3d38b3898b24e46b5e0386910c466"
+ },
+ "root": "/SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4",
+ "host": "8b1bacebd36d",
+ "executable": "/opt/conda/envs/lerobot/bin/python",
+ "codePathLocal": "lerobot/scripts/train.py",
+ "cpu_count": 32,
+ "cpu_count_logical": 32,
+ "gpu": "NVIDIA RTX 6000 Ada Generation",
+ "gpu_count": 8,
+ "disk": {
+ "/": {
+ "total": "3778772082688",
+ "used": "3371102375936"
+ }
+ },
+ "memory": {
+ "total": "540891144192"
+ },
+ "cpu": {
+ "count": 32,
+ "countLogical": 32
+ },
+ "gpu_nvidia": [
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ },
+ {
+ "name": "NVIDIA RTX 6000 Ada Generation",
+ "memoryTotal": "51527024640",
+ "cudaCores": 18176,
+ "architecture": "Ada"
+ }
+ ],
+ "cudaVersion": "12.2"
+}
\ No newline at end of file
diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-core.log b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-core.log
new file mode 100644
index 0000000000000000000000000000000000000000..bc2bba544a55dab62546f04918f24c41a0b55f4c
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-core.log
@@ -0,0 +1,6 @@
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diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-internal.log b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-internal.log
new file mode 100644
index 0000000000000000000000000000000000000000..92598c742a153b961b64179845bcc4ecb500cc40
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-internal.log
@@ -0,0 +1,10 @@
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\nThe server encountered a temporary error and could not complete your request.
Please try again in 30 seconds.\n
\n\n"}
+{"time":"2025-05-06T09:12:57.512959236Z","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/marchmelo0923-postech/lerobot/ygbytty1/file_stream\": dial tcp: lookup api.wandb.ai on 141.223.7.51:53: read udp 172.17.0.4:49420->141.223.7.51:53: i/o timeout"}
+{"time":"2025-05-06T11:39:57.516626433Z","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/marchmelo0923-postech/lerobot/ygbytty1/file_stream\": dial tcp: lookup api.wandb.ai on 141.223.7.51:53: read udp 172.17.0.4:59675->141.223.7.51:53: i/o timeout"}
diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug.log b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug.log
new file mode 100644
index 0000000000000000000000000000000000000000..43407c8927fb9b8807f2efadcff43032d5faf349
--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug.log
@@ -0,0 +1,22 @@
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+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_setup.py:_flush():67] Configure stats pid to 105243
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_setup.py:_flush():67] Loading settings from /root/.config/wandb/settings
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_setup.py:_flush():67] Loading settings from /NAS/LSY/lerobot/wandb/settings
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_setup.py:_flush():67] Loading settings from environment variables
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_init.py:setup_run_log_directory():662] Logging user logs to /SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug.log
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_init.py:setup_run_log_directory():663] Logging internal logs to /SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/logs/debug-internal.log
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_init.py:init():781] calling init triggers
+2025-05-05 13:48:51,861 INFO MainThread:105243 [wandb_init.py:init():786] wandb.init called with sweep_config: {}
+config: {'dataset': {'repo_id': 'shylee/so100_pengripA', 'root': '/SSD/LSY/lerobot_dataset/pengripA', 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'diffusion', 'n_obs_steps': 2, 'normalization_mapping': {'VISUAL': , 'STATE': , 'ACTION': }, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'horizon': 16, 'n_action_steps': 16, 'drop_n_last_frames': 7, 'vision_backbone': 'resnet50', 'crop_shape': [480, 640], 'crop_is_random': False, 'pretrained_backbone_weights': 'ResNet50_Weights.IMAGENET1K_V1', 'use_group_norm': False, 'spatial_softmax_num_keypoints': 32, 'use_separate_rgb_encoder_per_camera': False, 'down_dims': [256, 512, 1024], 'kernel_size': 5, 'n_groups': 8, 'diffusion_step_embed_dim': 128, 'use_film_scale_modulation': True, 'noise_scheduler_type': 'DDIM', 'num_train_timesteps': 100, 'beta_schedule': 'squaredcos_cap_v2', 'beta_start': 0.0001, 'beta_end': 0.02, 'prediction_type': 'epsilon', 'clip_sample': True, 'clip_sample_range': 1.0, 'num_inference_steps': 10, 'do_mask_loss_for_padding': False, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.95, 0.999], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-06, 'scheduler_name': 'cosine', 'scheduler_warmup_steps': 500, 'pre_resize_shape': None, 'freeze_vision_backbone': False, 'use_ema': True, 'ema_lambda': 0.5}, 'output_dir': '/SSD/LSY/lerobot_model/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4', 'job_name': 'DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 8, 'steps': 900000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 30000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adam', 'lr': 0.0001, 'weight_decay': 1e-06, 'grad_clip_norm': 10.0, 'betas': [0.95, 0.999], 'eps': 1e-08}, 'scheduler': {'type': 'diffuser', 'num_warmup_steps': 500, 'name': 'cosine'}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': None, 'mode': None}, '_wandb': {}}
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+2025-05-05 13:48:51,867 INFO MainThread:105243 [wandb_init.py:init():915] updated telemetry
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+2025-05-05 13:48:52,593 INFO MainThread:105243 [wandb_run.py:_console_start():2454] atexit reg
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+2025-05-05 13:48:52,594 INFO MainThread:105243 [wandb_run.py:_redirect():2394] Redirects installed.
+2025-05-05 13:48:52,595 INFO MainThread:105243 [wandb_init.py:init():1056] run started, returning control to user process
diff --git a/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/run-ygbytty1.wandb b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/run-ygbytty1.wandb
new file mode 100644
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--- /dev/null
+++ b/DP_pengripA_downDims1_cropNo_freeze0_16_16_ema1_1e-4/wandb/run-20250505_134851-ygbytty1/run-ygbytty1.wandb
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