Add DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4 from 8b1bacebd36d
Browse files- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/config.json +94 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/model.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/train_config.json +204 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/optimizer_param_groups.json +331 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/optimizer_state.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/rng_state.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/scheduler_state.json +15 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/training_step.json +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/pretrained_model/config.json +94 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/pretrained_model/model.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/pretrained_model/train_config.json +204 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/optimizer_param_groups.json +331 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/optimizer_state.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/rng_state.safetensors +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/scheduler_state.json +15 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/training_step.json +3 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/debug-internal.log +8 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/debug.log +1 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/files/config.yaml +216 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/files/output.log +383 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/files/wandb-summary.json +1 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug-core.log +8 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug-internal.log +8 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug.log +1 -0
- DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/run-yq6yqt83.wandb +2 -2
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/config.json
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DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 369243880
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DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/pretrained_model/train_config.json
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| 110 |
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| 111 |
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| 112 |
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|
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|
| 163 |
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|
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|
| 172 |
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|
| 173 |
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|
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|
| 175 |
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|
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|
| 177 |
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|
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|
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|
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|
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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| 199 |
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|
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| 202 |
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|
| 203 |
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|
| 204 |
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}
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/420000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,331 @@
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| 204 |
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}
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,331 @@
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ADDED
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DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/checkpoints/480000/training_state/training_step.json
ADDED
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"step": 480000
|
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DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/debug-internal.log
CHANGED
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@@ -428,3 +428,11 @@
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|
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DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/debug.log
CHANGED
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@@ -21,3 +21,4 @@ config: {'dataset': {'repo_id': 'shylee/so100_cube', 'root': '/SSD/LSY/lerobot',
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|
| 21 |
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|
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run_id: yq6yqt83
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/files/output.log
CHANGED
|
@@ -584,3 +584,386 @@ INFO 2025-05-02 15:41:11 ts/train.py:232 step:403K smpl:3M ep:11K epch:55.44 los
|
|
| 584 |
INFO 2025-05-02 15:41:49 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.47 loss:0.003 grdn:0.158 lr:6.1e-06 updt_s:0.189 data_s:0.000
|
| 585 |
INFO 2025-05-02 15:42:29 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.49 loss:0.002 grdn:0.145 lr:6.1e-06 updt_s:0.189 data_s:0.007
|
| 586 |
INFO 2025-05-02 15:43:07 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.52 loss:0.002 grdn:0.135 lr:6.1e-06 updt_s:0.189 data_s:0.001
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| 584 |
INFO 2025-05-02 15:41:49 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.47 loss:0.003 grdn:0.158 lr:6.1e-06 updt_s:0.189 data_s:0.000
|
| 585 |
INFO 2025-05-02 15:42:29 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.49 loss:0.002 grdn:0.145 lr:6.1e-06 updt_s:0.189 data_s:0.007
|
| 586 |
INFO 2025-05-02 15:43:07 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.52 loss:0.002 grdn:0.135 lr:6.1e-06 updt_s:0.189 data_s:0.001
|
| 587 |
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INFO 2025-05-02 15:43:45 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.55 loss:0.002 grdn:0.134 lr:6.1e-06 updt_s:0.189 data_s:0.000
|
| 588 |
+
INFO 2025-05-02 15:44:23 ts/train.py:232 step:404K smpl:3M ep:11K epch:55.58 loss:0.002 grdn:0.147 lr:6.0e-06 updt_s:0.189 data_s:0.000
|
| 589 |
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INFO 2025-05-02 15:45:01 ts/train.py:232 step:405K smpl:3M ep:11K epch:55.60 loss:0.002 grdn:0.139 lr:6.0e-06 updt_s:0.189 data_s:0.000
|
| 590 |
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INFO 2025-05-02 15:45:39 ts/train.py:232 step:405K smpl:3M ep:11K epch:55.63 loss:0.003 grdn:0.162 lr:6.0e-06 updt_s:0.189 data_s:0.001
|
| 591 |
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INFO 2025-05-02 15:46:17 ts/train.py:232 step:405K smpl:3M ep:11K epch:55.66 loss:0.002 grdn:0.143 lr:5.9e-06 updt_s:0.189 data_s:0.000
|
| 592 |
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INFO 2025-05-02 15:46:55 ts/train.py:232 step:405K smpl:3M ep:11K epch:55.69 loss:0.003 grdn:0.159 lr:5.9e-06 updt_s:0.189 data_s:0.000
|
| 593 |
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INFO 2025-05-02 15:47:33 ts/train.py:232 step:405K smpl:3M ep:11K epch:55.71 loss:0.002 grdn:0.149 lr:5.9e-06 updt_s:0.189 data_s:0.000
|
| 594 |
+
INFO 2025-05-02 15:48:11 ts/train.py:232 step:406K smpl:3M ep:11K epch:55.74 loss:0.002 grdn:0.133 lr:5.8e-06 updt_s:0.189 data_s:0.000
|
| 595 |
+
INFO 2025-05-02 15:48:49 ts/train.py:232 step:406K smpl:3M ep:11K epch:55.77 loss:0.002 grdn:0.147 lr:5.8e-06 updt_s:0.189 data_s:0.000
|
| 596 |
+
INFO 2025-05-02 15:49:27 ts/train.py:232 step:406K smpl:3M ep:11K epch:55.80 loss:0.002 grdn:0.149 lr:5.8e-06 updt_s:0.189 data_s:0.000
|
| 597 |
+
INFO 2025-05-02 15:50:04 ts/train.py:232 step:406K smpl:3M ep:11K epch:55.82 loss:0.002 grdn:0.150 lr:5.7e-06 updt_s:0.189 data_s:0.000
|
| 598 |
+
INFO 2025-05-02 15:50:42 ts/train.py:232 step:406K smpl:3M ep:11K epch:55.85 loss:0.002 grdn:0.145 lr:5.7e-06 updt_s:0.189 data_s:0.000
|
| 599 |
+
INFO 2025-05-02 15:51:20 ts/train.py:232 step:407K smpl:3M ep:11K epch:55.88 loss:0.003 grdn:0.162 lr:5.7e-06 updt_s:0.189 data_s:0.000
|
| 600 |
+
INFO 2025-05-02 15:51:58 ts/train.py:232 step:407K smpl:3M ep:11K epch:55.91 loss:0.002 grdn:0.150 lr:5.7e-06 updt_s:0.189 data_s:0.000
|
| 601 |
+
INFO 2025-05-02 15:52:36 ts/train.py:232 step:407K smpl:3M ep:11K epch:55.93 loss:0.002 grdn:0.159 lr:5.6e-06 updt_s:0.189 data_s:0.000
|
| 602 |
+
INFO 2025-05-02 15:53:14 ts/train.py:232 step:407K smpl:3M ep:11K epch:55.96 loss:0.002 grdn:0.143 lr:5.6e-06 updt_s:0.189 data_s:0.000
|
| 603 |
+
INFO 2025-05-02 15:53:52 ts/train.py:232 step:407K smpl:3M ep:11K epch:55.99 loss:0.002 grdn:0.140 lr:5.6e-06 updt_s:0.189 data_s:0.000
|
| 604 |
+
INFO 2025-05-02 15:54:30 ts/train.py:232 step:408K smpl:3M ep:11K epch:56.01 loss:0.002 grdn:0.129 lr:5.5e-06 updt_s:0.189 data_s:0.000
|
| 605 |
+
INFO 2025-05-02 15:55:08 ts/train.py:232 step:408K smpl:3M ep:11K epch:56.04 loss:0.002 grdn:0.146 lr:5.5e-06 updt_s:0.189 data_s:0.000
|
| 606 |
+
INFO 2025-05-02 15:55:46 ts/train.py:232 step:408K smpl:3M ep:11K epch:56.07 loss:0.002 grdn:0.133 lr:5.5e-06 updt_s:0.189 data_s:0.000
|
| 607 |
+
INFO 2025-05-02 15:56:24 ts/train.py:232 step:408K smpl:3M ep:11K epch:56.10 loss:0.002 grdn:0.148 lr:5.4e-06 updt_s:0.189 data_s:0.000
|
| 608 |
+
INFO 2025-05-02 15:57:02 ts/train.py:232 step:408K smpl:3M ep:11K epch:56.12 loss:0.002 grdn:0.146 lr:5.4e-06 updt_s:0.189 data_s:0.000
|
| 609 |
+
INFO 2025-05-02 15:57:40 ts/train.py:232 step:409K smpl:3M ep:11K epch:56.15 loss:0.002 grdn:0.148 lr:5.4e-06 updt_s:0.189 data_s:0.000
|
| 610 |
+
INFO 2025-05-02 15:58:17 ts/train.py:232 step:409K smpl:3M ep:11K epch:56.18 loss:0.002 grdn:0.154 lr:5.4e-06 updt_s:0.189 data_s:0.000
|
| 611 |
+
INFO 2025-05-02 15:58:55 ts/train.py:232 step:409K smpl:3M ep:11K epch:56.21 loss:0.002 grdn:0.149 lr:5.3e-06 updt_s:0.189 data_s:0.000
|
| 612 |
+
INFO 2025-05-02 15:59:33 ts/train.py:232 step:409K smpl:3M ep:11K epch:56.23 loss:0.002 grdn:0.149 lr:5.3e-06 updt_s:0.189 data_s:0.000
|
| 613 |
+
INFO 2025-05-02 16:00:11 ts/train.py:232 step:409K smpl:3M ep:11K epch:56.26 loss:0.002 grdn:0.148 lr:5.3e-06 updt_s:0.189 data_s:0.000
|
| 614 |
+
INFO 2025-05-02 16:00:49 ts/train.py:232 step:410K smpl:3M ep:11K epch:56.29 loss:0.002 grdn:0.140 lr:5.2e-06 updt_s:0.189 data_s:0.000
|
| 615 |
+
INFO 2025-05-02 16:01:27 ts/train.py:232 step:410K smpl:3M ep:11K epch:56.32 loss:0.002 grdn:0.149 lr:5.2e-06 updt_s:0.189 data_s:0.000
|
| 616 |
+
INFO 2025-05-02 16:02:05 ts/train.py:232 step:410K smpl:3M ep:11K epch:56.34 loss:0.002 grdn:0.139 lr:5.2e-06 updt_s:0.189 data_s:0.000
|
| 617 |
+
INFO 2025-05-02 16:02:43 ts/train.py:232 step:410K smpl:3M ep:11K epch:56.37 loss:0.002 grdn:0.147 lr:5.2e-06 updt_s:0.189 data_s:0.000
|
| 618 |
+
INFO 2025-05-02 16:03:21 ts/train.py:232 step:410K smpl:3M ep:11K epch:56.40 loss:0.003 grdn:0.158 lr:5.1e-06 updt_s:0.189 data_s:0.000
|
| 619 |
+
INFO 2025-05-02 16:03:59 ts/train.py:232 step:411K smpl:3M ep:11K epch:56.43 loss:0.002 grdn:0.148 lr:5.1e-06 updt_s:0.188 data_s:0.000
|
| 620 |
+
INFO 2025-05-02 16:04:38 ts/train.py:232 step:411K smpl:3M ep:11K epch:56.45 loss:0.002 grdn:0.145 lr:5.1e-06 updt_s:0.188 data_s:0.007
|
| 621 |
+
INFO 2025-05-02 16:05:16 ts/train.py:232 step:411K smpl:3M ep:11K epch:56.48 loss:0.002 grdn:0.158 lr:5.0e-06 updt_s:0.189 data_s:0.000
|
| 622 |
+
INFO 2025-05-02 16:05:54 ts/train.py:232 step:411K smpl:3M ep:11K epch:56.51 loss:0.002 grdn:0.140 lr:5.0e-06 updt_s:0.189 data_s:0.000
|
| 623 |
+
INFO 2025-05-02 16:06:32 ts/train.py:232 step:411K smpl:3M ep:11K epch:56.54 loss:0.002 grdn:0.140 lr:5.0e-06 updt_s:0.189 data_s:0.000
|
| 624 |
+
INFO 2025-05-02 16:07:10 ts/train.py:232 step:412K smpl:3M ep:11K epch:56.56 loss:0.003 grdn:0.157 lr:5.0e-06 updt_s:0.189 data_s:0.000
|
| 625 |
+
INFO 2025-05-02 16:07:48 ts/train.py:232 step:412K smpl:3M ep:11K epch:56.59 loss:0.002 grdn:0.155 lr:4.9e-06 updt_s:0.189 data_s:0.000
|
| 626 |
+
INFO 2025-05-02 16:08:26 ts/train.py:232 step:412K smpl:3M ep:11K epch:56.62 loss:0.002 grdn:0.136 lr:4.9e-06 updt_s:0.189 data_s:0.000
|
| 627 |
+
INFO 2025-05-02 16:09:04 ts/train.py:232 step:412K smpl:3M ep:11K epch:56.65 loss:0.002 grdn:0.143 lr:4.9e-06 updt_s:0.189 data_s:0.000
|
| 628 |
+
INFO 2025-05-02 16:09:42 ts/train.py:232 step:412K smpl:3M ep:11K epch:56.67 loss:0.002 grdn:0.154 lr:4.8e-06 updt_s:0.189 data_s:0.000
|
| 629 |
+
INFO 2025-05-02 16:10:20 ts/train.py:232 step:413K smpl:3M ep:11K epch:56.70 loss:0.002 grdn:0.137 lr:4.8e-06 updt_s:0.189 data_s:0.000
|
| 630 |
+
INFO 2025-05-02 16:10:58 ts/train.py:232 step:413K smpl:3M ep:11K epch:56.73 loss:0.003 grdn:0.160 lr:4.8e-06 updt_s:0.189 data_s:0.000
|
| 631 |
+
INFO 2025-05-02 16:11:36 ts/train.py:232 step:413K smpl:3M ep:11K epch:56.76 loss:0.002 grdn:0.138 lr:4.8e-06 updt_s:0.189 data_s:0.000
|
| 632 |
+
INFO 2025-05-02 16:12:14 ts/train.py:232 step:413K smpl:3M ep:11K epch:56.78 loss:0.002 grdn:0.132 lr:4.7e-06 updt_s:0.189 data_s:0.000
|
| 633 |
+
INFO 2025-05-02 16:12:52 ts/train.py:232 step:413K smpl:3M ep:11K epch:56.81 loss:0.002 grdn:0.142 lr:4.7e-06 updt_s:0.189 data_s:0.000
|
| 634 |
+
INFO 2025-05-02 16:13:30 ts/train.py:232 step:414K smpl:3M ep:11K epch:56.84 loss:0.002 grdn:0.134 lr:4.7e-06 updt_s:0.189 data_s:0.000
|
| 635 |
+
INFO 2025-05-02 16:14:08 ts/train.py:232 step:414K smpl:3M ep:11K epch:56.87 loss:0.002 grdn:0.149 lr:4.6e-06 updt_s:0.189 data_s:0.000
|
| 636 |
+
INFO 2025-05-02 16:14:46 ts/train.py:232 step:414K smpl:3M ep:11K epch:56.89 loss:0.002 grdn:0.139 lr:4.6e-06 updt_s:0.189 data_s:0.000
|
| 637 |
+
INFO 2025-05-02 16:15:24 ts/train.py:232 step:414K smpl:3M ep:11K epch:56.92 loss:0.002 grdn:0.151 lr:4.6e-06 updt_s:0.189 data_s:0.000
|
| 638 |
+
INFO 2025-05-02 16:16:02 ts/train.py:232 step:414K smpl:3M ep:11K epch:56.95 loss:0.002 grdn:0.154 lr:4.6e-06 updt_s:0.189 data_s:0.001
|
| 639 |
+
INFO 2025-05-02 16:16:40 ts/train.py:232 step:415K smpl:3M ep:11K epch:56.98 loss:0.002 grdn:0.146 lr:4.5e-06 updt_s:0.189 data_s:0.000
|
| 640 |
+
INFO 2025-05-02 16:17:18 ts/train.py:232 step:415K smpl:3M ep:11K epch:57.00 loss:0.003 grdn:0.167 lr:4.5e-06 updt_s:0.189 data_s:0.000
|
| 641 |
+
INFO 2025-05-02 16:17:56 ts/train.py:232 step:415K smpl:3M ep:11K epch:57.03 loss:0.002 grdn:0.141 lr:4.5e-06 updt_s:0.189 data_s:0.000
|
| 642 |
+
INFO 2025-05-02 16:18:34 ts/train.py:232 step:415K smpl:3M ep:11K epch:57.06 loss:0.002 grdn:0.145 lr:4.5e-06 updt_s:0.189 data_s:0.000
|
| 643 |
+
INFO 2025-05-02 16:19:12 ts/train.py:232 step:415K smpl:3M ep:11K epch:57.09 loss:0.002 grdn:0.143 lr:4.4e-06 updt_s:0.189 data_s:0.000
|
| 644 |
+
INFO 2025-05-02 16:19:50 ts/train.py:232 step:416K smpl:3M ep:11K epch:57.11 loss:0.003 grdn:0.159 lr:4.4e-06 updt_s:0.189 data_s:0.000
|
| 645 |
+
INFO 2025-05-02 16:20:28 ts/train.py:232 step:416K smpl:3M ep:11K epch:57.14 loss:0.002 grdn:0.147 lr:4.4e-06 updt_s:0.189 data_s:0.000
|
| 646 |
+
INFO 2025-05-02 16:21:06 ts/train.py:232 step:416K smpl:3M ep:11K epch:57.17 loss:0.002 grdn:0.151 lr:4.3e-06 updt_s:0.189 data_s:0.000
|
| 647 |
+
INFO 2025-05-02 16:21:44 ts/train.py:232 step:416K smpl:3M ep:11K epch:57.20 loss:0.002 grdn:0.146 lr:4.3e-06 updt_s:0.189 data_s:0.000
|
| 648 |
+
INFO 2025-05-02 16:22:22 ts/train.py:232 step:416K smpl:3M ep:11K epch:57.22 loss:0.002 grdn:0.154 lr:4.3e-06 updt_s:0.189 data_s:0.000
|
| 649 |
+
INFO 2025-05-02 16:23:00 ts/train.py:232 step:417K smpl:3M ep:11K epch:57.25 loss:0.002 grdn:0.150 lr:4.3e-06 updt_s:0.189 data_s:0.000
|
| 650 |
+
INFO 2025-05-02 16:23:38 ts/train.py:232 step:417K smpl:3M ep:11K epch:57.28 loss:0.002 grdn:0.157 lr:4.2e-06 updt_s:0.189 data_s:0.000
|
| 651 |
+
INFO 2025-05-02 16:24:16 ts/train.py:232 step:417K smpl:3M ep:11K epch:57.31 loss:0.002 grdn:0.144 lr:4.2e-06 updt_s:0.189 data_s:0.000
|
| 652 |
+
INFO 2025-05-02 16:24:54 ts/train.py:232 step:417K smpl:3M ep:11K epch:57.33 loss:0.002 grdn:0.156 lr:4.2e-06 updt_s:0.189 data_s:0.000
|
| 653 |
+
INFO 2025-05-02 16:25:32 ts/train.py:232 step:417K smpl:3M ep:11K epch:57.36 loss:0.002 grdn:0.148 lr:4.2e-06 updt_s:0.189 data_s:0.000
|
| 654 |
+
INFO 2025-05-02 16:26:10 ts/train.py:232 step:418K smpl:3M ep:11K epch:57.39 loss:0.002 grdn:0.145 lr:4.1e-06 updt_s:0.189 data_s:0.000
|
| 655 |
+
INFO 2025-05-02 16:26:48 ts/train.py:232 step:418K smpl:3M ep:11K epch:57.42 loss:0.002 grdn:0.148 lr:4.1e-06 updt_s:0.189 data_s:0.000
|
| 656 |
+
INFO 2025-05-02 16:27:27 ts/train.py:232 step:418K smpl:3M ep:11K epch:57.44 loss:0.002 grdn:0.148 lr:4.1e-06 updt_s:0.188 data_s:0.007
|
| 657 |
+
INFO 2025-05-02 16:28:05 ts/train.py:232 step:418K smpl:3M ep:11K epch:57.47 loss:0.002 grdn:0.146 lr:4.1e-06 updt_s:0.188 data_s:0.000
|
| 658 |
+
INFO 2025-05-02 16:28:43 ts/train.py:232 step:418K smpl:3M ep:11K epch:57.50 loss:0.002 grdn:0.144 lr:4.0e-06 updt_s:0.189 data_s:0.000
|
| 659 |
+
INFO 2025-05-02 16:29:21 ts/train.py:232 step:419K smpl:3M ep:12K epch:57.53 loss:0.002 grdn:0.145 lr:4.0e-06 updt_s:0.189 data_s:0.000
|
| 660 |
+
INFO 2025-05-02 16:29:58 ts/train.py:232 step:419K smpl:3M ep:12K epch:57.55 loss:0.002 grdn:0.152 lr:4.0e-06 updt_s:0.188 data_s:0.000
|
| 661 |
+
INFO 2025-05-02 16:30:36 ts/train.py:232 step:419K smpl:3M ep:12K epch:57.58 loss:0.002 grdn:0.153 lr:4.0e-06 updt_s:0.188 data_s:0.000
|
| 662 |
+
INFO 2025-05-02 16:31:14 ts/train.py:232 step:419K smpl:3M ep:12K epch:57.61 loss:0.002 grdn:0.152 lr:3.9e-06 updt_s:0.189 data_s:0.000
|
| 663 |
+
INFO 2025-05-02 16:31:52 ts/train.py:232 step:419K smpl:3M ep:12K epch:57.64 loss:0.002 grdn:0.139 lr:3.9e-06 updt_s:0.189 data_s:0.000
|
| 664 |
+
INFO 2025-05-02 16:32:30 ts/train.py:232 step:420K smpl:3M ep:12K epch:57.66 loss:0.002 grdn:0.146 lr:3.9e-06 updt_s:0.189 data_s:0.000
|
| 665 |
+
INFO 2025-05-02 16:33:08 ts/train.py:232 step:420K smpl:3M ep:12K epch:57.69 loss:0.002 grdn:0.151 lr:3.9e-06 updt_s:0.188 data_s:0.000
|
| 666 |
+
INFO 2025-05-02 16:33:46 ts/train.py:232 step:420K smpl:3M ep:12K epch:57.72 loss:0.002 grdn:0.150 lr:3.8e-06 updt_s:0.189 data_s:0.000
|
| 667 |
+
INFO 2025-05-02 16:33:46 ts/train.py:241 Checkpoint policy after step 420000
|
| 668 |
+
INFO 2025-05-02 16:34:26 ts/train.py:232 step:420K smpl:3M ep:12K epch:57.75 loss:0.002 grdn:0.150 lr:3.8e-06 updt_s:0.188 data_s:0.000
|
| 669 |
+
INFO 2025-05-02 16:35:04 ts/train.py:232 step:420K smpl:3M ep:12K epch:57.77 loss:0.002 grdn:0.132 lr:3.8e-06 updt_s:0.188 data_s:0.000
|
| 670 |
+
INFO 2025-05-02 16:35:42 ts/train.py:232 step:421K smpl:3M ep:12K epch:57.80 loss:0.002 grdn:0.142 lr:3.8e-06 updt_s:0.188 data_s:0.000
|
| 671 |
+
INFO 2025-05-02 16:36:20 ts/train.py:232 step:421K smpl:3M ep:12K epch:57.83 loss:0.002 grdn:0.142 lr:3.7e-06 updt_s:0.189 data_s:0.000
|
| 672 |
+
INFO 2025-05-02 16:36:58 ts/train.py:232 step:421K smpl:3M ep:12K epch:57.86 loss:0.002 grdn:0.152 lr:3.7e-06 updt_s:0.188 data_s:0.000
|
| 673 |
+
INFO 2025-05-02 16:37:36 ts/train.py:232 step:421K smpl:3M ep:12K epch:57.88 loss:0.002 grdn:0.146 lr:3.7e-06 updt_s:0.189 data_s:0.000
|
| 674 |
+
INFO 2025-05-02 16:38:13 ts/train.py:232 step:421K smpl:3M ep:12K epch:57.91 loss:0.002 grdn:0.129 lr:3.7e-06 updt_s:0.188 data_s:0.000
|
| 675 |
+
INFO 2025-05-02 16:38:51 ts/train.py:232 step:422K smpl:3M ep:12K epch:57.94 loss:0.002 grdn:0.132 lr:3.6e-06 updt_s:0.189 data_s:0.000
|
| 676 |
+
INFO 2025-05-02 16:39:29 ts/train.py:232 step:422K smpl:3M ep:12K epch:57.97 loss:0.002 grdn:0.134 lr:3.6e-06 updt_s:0.189 data_s:0.000
|
| 677 |
+
INFO 2025-05-02 16:40:07 ts/train.py:232 step:422K smpl:3M ep:12K epch:57.99 loss:0.002 grdn:0.156 lr:3.6e-06 updt_s:0.189 data_s:0.000
|
| 678 |
+
INFO 2025-05-02 16:40:45 ts/train.py:232 step:422K smpl:3M ep:12K epch:58.02 loss:0.002 grdn:0.150 lr:3.6e-06 updt_s:0.188 data_s:0.000
|
| 679 |
+
INFO 2025-05-02 16:41:23 ts/train.py:232 step:422K smpl:3M ep:12K epch:58.05 loss:0.002 grdn:0.146 lr:3.5e-06 updt_s:0.188 data_s:0.000
|
| 680 |
+
INFO 2025-05-02 16:42:01 ts/train.py:232 step:423K smpl:3M ep:12K epch:58.08 loss:0.002 grdn:0.152 lr:3.5e-06 updt_s:0.188 data_s:0.000
|
| 681 |
+
INFO 2025-05-02 16:42:39 ts/train.py:232 step:423K smpl:3M ep:12K epch:58.10 loss:0.002 grdn:0.146 lr:3.5e-06 updt_s:0.188 data_s:0.000
|
| 682 |
+
INFO 2025-05-02 16:43:16 ts/train.py:232 step:423K smpl:3M ep:12K epch:58.13 loss:0.002 grdn:0.144 lr:3.5e-06 updt_s:0.188 data_s:0.000
|
| 683 |
+
INFO 2025-05-02 16:43:54 ts/train.py:232 step:423K smpl:3M ep:12K epch:58.16 loss:0.002 grdn:0.141 lr:3.4e-06 updt_s:0.189 data_s:0.000
|
| 684 |
+
INFO 2025-05-02 16:44:32 ts/train.py:232 step:423K smpl:3M ep:12K epch:58.19 loss:0.002 grdn:0.155 lr:3.4e-06 updt_s:0.189 data_s:0.000
|
| 685 |
+
INFO 2025-05-02 16:45:10 ts/train.py:232 step:424K smpl:3M ep:12K epch:58.21 loss:0.002 grdn:0.150 lr:3.4e-06 updt_s:0.189 data_s:0.000
|
| 686 |
+
INFO 2025-05-02 16:45:48 ts/train.py:232 step:424K smpl:3M ep:12K epch:58.24 loss:0.002 grdn:0.150 lr:3.4e-06 updt_s:0.188 data_s:0.000
|
| 687 |
+
INFO 2025-05-02 16:46:26 ts/train.py:232 step:424K smpl:3M ep:12K epch:58.27 loss:0.002 grdn:0.155 lr:3.3e-06 updt_s:0.188 data_s:0.000
|
| 688 |
+
INFO 2025-05-02 16:47:04 ts/train.py:232 step:424K smpl:3M ep:12K epch:58.30 loss:0.002 grdn:0.136 lr:3.3e-06 updt_s:0.188 data_s:0.000
|
| 689 |
+
INFO 2025-05-02 16:47:42 ts/train.py:232 step:424K smpl:3M ep:12K epch:58.32 loss:0.002 grdn:0.140 lr:3.3e-06 updt_s:0.188 data_s:0.000
|
| 690 |
+
INFO 2025-05-02 16:48:19 ts/train.py:232 step:425K smpl:3M ep:12K epch:58.35 loss:0.002 grdn:0.160 lr:3.3e-06 updt_s:0.188 data_s:0.000
|
| 691 |
+
INFO 2025-05-02 16:48:57 ts/train.py:232 step:425K smpl:3M ep:12K epch:58.38 loss:0.002 grdn:0.149 lr:3.2e-06 updt_s:0.189 data_s:0.000
|
| 692 |
+
INFO 2025-05-02 16:49:37 ts/train.py:232 step:425K smpl:3M ep:12K epch:58.41 loss:0.002 grdn:0.145 lr:3.2e-06 updt_s:0.188 data_s:0.008
|
| 693 |
+
INFO 2025-05-02 16:50:15 ts/train.py:232 step:425K smpl:3M ep:12K epch:58.43 loss:0.002 grdn:0.145 lr:3.2e-06 updt_s:0.189 data_s:0.000
|
| 694 |
+
INFO 2025-05-02 16:50:52 ts/train.py:232 step:425K smpl:3M ep:12K epch:58.46 loss:0.002 grdn:0.140 lr:3.2e-06 updt_s:0.188 data_s:0.000
|
| 695 |
+
INFO 2025-05-02 16:51:30 ts/train.py:232 step:426K smpl:3M ep:12K epch:58.49 loss:0.002 grdn:0.159 lr:3.2e-06 updt_s:0.188 data_s:0.000
|
| 696 |
+
INFO 2025-05-02 16:52:08 ts/train.py:232 step:426K smpl:3M ep:12K epch:58.52 loss:0.002 grdn:0.139 lr:3.1e-06 updt_s:0.188 data_s:0.000
|
| 697 |
+
INFO 2025-05-02 16:52:46 ts/train.py:232 step:426K smpl:3M ep:12K epch:58.54 loss:0.002 grdn:0.147 lr:3.1e-06 updt_s:0.188 data_s:0.000
|
| 698 |
+
INFO 2025-05-02 16:53:24 ts/train.py:232 step:426K smpl:3M ep:12K epch:58.57 loss:0.002 grdn:0.150 lr:3.1e-06 updt_s:0.188 data_s:0.000
|
| 699 |
+
INFO 2025-05-02 16:54:02 ts/train.py:232 step:426K smpl:3M ep:12K epch:58.60 loss:0.002 grdn:0.151 lr:3.1e-06 updt_s:0.188 data_s:0.000
|
| 700 |
+
INFO 2025-05-02 16:54:40 ts/train.py:232 step:427K smpl:3M ep:12K epch:58.63 loss:0.002 grdn:0.144 lr:3.0e-06 updt_s:0.188 data_s:0.000
|
| 701 |
+
INFO 2025-05-02 16:55:17 ts/train.py:232 step:427K smpl:3M ep:12K epch:58.65 loss:0.002 grdn:0.143 lr:3.0e-06 updt_s:0.188 data_s:0.000
|
| 702 |
+
INFO 2025-05-02 16:55:55 ts/train.py:232 step:427K smpl:3M ep:12K epch:58.68 loss:0.002 grdn:0.142 lr:3.0e-06 updt_s:0.189 data_s:0.000
|
| 703 |
+
INFO 2025-05-02 16:56:33 ts/train.py:232 step:427K smpl:3M ep:12K epch:58.71 loss:0.002 grdn:0.149 lr:3.0e-06 updt_s:0.188 data_s:0.000
|
| 704 |
+
INFO 2025-05-02 16:57:11 ts/train.py:232 step:427K smpl:3M ep:12K epch:58.74 loss:0.002 grdn:0.139 lr:3.0e-06 updt_s:0.188 data_s:0.000
|
| 705 |
+
INFO 2025-05-02 16:57:49 ts/train.py:232 step:428K smpl:3M ep:12K epch:58.76 loss:0.002 grdn:0.149 lr:2.9e-06 updt_s:0.188 data_s:0.000
|
| 706 |
+
INFO 2025-05-02 16:58:27 ts/train.py:232 step:428K smpl:3M ep:12K epch:58.79 loss:0.002 grdn:0.152 lr:2.9e-06 updt_s:0.188 data_s:0.000
|
| 707 |
+
INFO 2025-05-02 16:59:05 ts/train.py:232 step:428K smpl:3M ep:12K epch:58.82 loss:0.002 grdn:0.143 lr:2.9e-06 updt_s:0.188 data_s:0.000
|
| 708 |
+
INFO 2025-05-02 16:59:42 ts/train.py:232 step:428K smpl:3M ep:12K epch:58.85 loss:0.002 grdn:0.147 lr:2.9e-06 updt_s:0.188 data_s:0.000
|
| 709 |
+
INFO 2025-05-02 17:00:20 ts/train.py:232 step:428K smpl:3M ep:12K epch:58.87 loss:0.002 grdn:0.145 lr:2.8e-06 updt_s:0.188 data_s:0.000
|
| 710 |
+
INFO 2025-05-02 17:00:58 ts/train.py:232 step:429K smpl:3M ep:12K epch:58.90 loss:0.002 grdn:0.142 lr:2.8e-06 updt_s:0.188 data_s:0.000
|
| 711 |
+
INFO 2025-05-02 17:01:36 ts/train.py:232 step:429K smpl:3M ep:12K epch:58.93 loss:0.002 grdn:0.140 lr:2.8e-06 updt_s:0.188 data_s:0.000
|
| 712 |
+
INFO 2025-05-02 17:02:14 ts/train.py:232 step:429K smpl:3M ep:12K epch:58.96 loss:0.002 grdn:0.142 lr:2.8e-06 updt_s:0.188 data_s:0.000
|
| 713 |
+
INFO 2025-05-02 17:02:52 ts/train.py:232 step:429K smpl:3M ep:12K epch:58.98 loss:0.002 grdn:0.136 lr:2.8e-06 updt_s:0.188 data_s:0.000
|
| 714 |
+
INFO 2025-05-02 17:03:30 ts/train.py:232 step:429K smpl:3M ep:12K epch:59.01 loss:0.002 grdn:0.136 lr:2.7e-06 updt_s:0.188 data_s:0.000
|
| 715 |
+
INFO 2025-05-02 17:04:07 ts/train.py:232 step:430K smpl:3M ep:12K epch:59.04 loss:0.002 grdn:0.146 lr:2.7e-06 updt_s:0.189 data_s:0.000
|
| 716 |
+
INFO 2025-05-02 17:04:45 ts/train.py:232 step:430K smpl:3M ep:12K epch:59.07 loss:0.002 grdn:0.152 lr:2.7e-06 updt_s:0.189 data_s:0.000
|
| 717 |
+
INFO 2025-05-02 17:05:23 ts/train.py:232 step:430K smpl:3M ep:12K epch:59.09 loss:0.002 grdn:0.156 lr:2.7e-06 updt_s:0.189 data_s:0.000
|
| 718 |
+
INFO 2025-05-02 17:06:01 ts/train.py:232 step:430K smpl:3M ep:12K epch:59.12 loss:0.002 grdn:0.155 lr:2.6e-06 updt_s:0.189 data_s:0.000
|
| 719 |
+
INFO 2025-05-02 17:06:39 ts/train.py:232 step:430K smpl:3M ep:12K epch:59.15 loss:0.002 grdn:0.153 lr:2.6e-06 updt_s:0.189 data_s:0.000
|
| 720 |
+
INFO 2025-05-02 17:07:17 ts/train.py:232 step:431K smpl:3M ep:12K epch:59.18 loss:0.002 grdn:0.144 lr:2.6e-06 updt_s:0.189 data_s:0.000
|
| 721 |
+
INFO 2025-05-02 17:07:55 ts/train.py:232 step:431K smpl:3M ep:12K epch:59.20 loss:0.002 grdn:0.138 lr:2.6e-06 updt_s:0.189 data_s:0.000
|
| 722 |
+
INFO 2025-05-02 17:08:33 ts/train.py:232 step:431K smpl:3M ep:12K epch:59.23 loss:0.002 grdn:0.140 lr:2.6e-06 updt_s:0.189 data_s:0.000
|
| 723 |
+
INFO 2025-05-02 17:09:11 ts/train.py:232 step:431K smpl:3M ep:12K epch:59.26 loss:0.002 grdn:0.136 lr:2.5e-06 updt_s:0.189 data_s:0.000
|
| 724 |
+
INFO 2025-05-02 17:09:49 ts/train.py:232 step:431K smpl:3M ep:12K epch:59.29 loss:0.003 grdn:0.163 lr:2.5e-06 updt_s:0.189 data_s:0.000
|
| 725 |
+
INFO 2025-05-02 17:10:26 ts/train.py:232 step:432K smpl:3M ep:12K epch:59.31 loss:0.002 grdn:0.143 lr:2.5e-06 updt_s:0.189 data_s:0.000
|
| 726 |
+
INFO 2025-05-02 17:11:04 ts/train.py:232 step:432K smpl:3M ep:12K epch:59.34 loss:0.002 grdn:0.138 lr:2.5e-06 updt_s:0.189 data_s:0.000
|
| 727 |
+
INFO 2025-05-02 17:11:42 ts/train.py:232 step:432K smpl:3M ep:12K epch:59.37 loss:0.002 grdn:0.127 lr:2.5e-06 updt_s:0.189 data_s:0.000
|
| 728 |
+
INFO 2025-05-02 17:12:21 ts/train.py:232 step:432K smpl:3M ep:12K epch:59.40 loss:0.002 grdn:0.149 lr:2.4e-06 updt_s:0.188 data_s:0.006
|
| 729 |
+
INFO 2025-05-02 17:12:59 ts/train.py:232 step:432K smpl:3M ep:12K epch:59.42 loss:0.002 grdn:0.123 lr:2.4e-06 updt_s:0.189 data_s:0.000
|
| 730 |
+
INFO 2025-05-02 17:13:37 ts/train.py:232 step:433K smpl:3M ep:12K epch:59.45 loss:0.002 grdn:0.145 lr:2.4e-06 updt_s:0.189 data_s:0.000
|
| 731 |
+
INFO 2025-05-02 17:14:15 ts/train.py:232 step:433K smpl:3M ep:12K epch:59.48 loss:0.002 grdn:0.136 lr:2.4e-06 updt_s:0.189 data_s:0.000
|
| 732 |
+
INFO 2025-05-02 17:14:53 ts/train.py:232 step:433K smpl:3M ep:12K epch:59.51 loss:0.003 grdn:0.164 lr:2.4e-06 updt_s:0.189 data_s:0.000
|
| 733 |
+
INFO 2025-05-02 17:15:31 ts/train.py:232 step:433K smpl:3M ep:12K epch:59.53 loss:0.002 grdn:0.129 lr:2.3e-06 updt_s:0.189 data_s:0.000
|
| 734 |
+
INFO 2025-05-02 17:16:09 ts/train.py:232 step:433K smpl:3M ep:12K epch:59.56 loss:0.002 grdn:0.148 lr:2.3e-06 updt_s:0.189 data_s:0.000
|
| 735 |
+
INFO 2025-05-02 17:16:47 ts/train.py:232 step:434K smpl:3M ep:12K epch:59.59 loss:0.002 grdn:0.156 lr:2.3e-06 updt_s:0.189 data_s:0.000
|
| 736 |
+
INFO 2025-05-02 17:17:25 ts/train.py:232 step:434K smpl:3M ep:12K epch:59.62 loss:0.002 grdn:0.154 lr:2.3e-06 updt_s:0.189 data_s:0.000
|
| 737 |
+
INFO 2025-05-02 17:18:03 ts/train.py:232 step:434K smpl:3M ep:12K epch:59.64 loss:0.002 grdn:0.141 lr:2.3e-06 updt_s:0.189 data_s:0.000
|
| 738 |
+
INFO 2025-05-02 17:18:41 ts/train.py:232 step:434K smpl:3M ep:12K epch:59.67 loss:0.002 grdn:0.137 lr:2.2e-06 updt_s:0.189 data_s:0.000
|
| 739 |
+
INFO 2025-05-02 17:19:19 ts/train.py:232 step:434K smpl:3M ep:12K epch:59.70 loss:0.002 grdn:0.155 lr:2.2e-06 updt_s:0.189 data_s:0.000
|
| 740 |
+
INFO 2025-05-02 17:19:57 ts/train.py:232 step:435K smpl:3M ep:12K epch:59.73 loss:0.002 grdn:0.144 lr:2.2e-06 updt_s:0.189 data_s:0.000
|
| 741 |
+
INFO 2025-05-02 17:20:34 ts/train.py:232 step:435K smpl:3M ep:12K epch:59.75 loss:0.002 grdn:0.135 lr:2.2e-06 updt_s:0.189 data_s:0.000
|
| 742 |
+
INFO 2025-05-02 17:21:12 ts/train.py:232 step:435K smpl:3M ep:12K epch:59.78 loss:0.002 grdn:0.144 lr:2.2e-06 updt_s:0.189 data_s:0.000
|
| 743 |
+
INFO 2025-05-02 17:21:50 ts/train.py:232 step:435K smpl:3M ep:12K epch:59.81 loss:0.002 grdn:0.152 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 744 |
+
INFO 2025-05-02 17:22:28 ts/train.py:232 step:435K smpl:3M ep:12K epch:59.84 loss:0.002 grdn:0.136 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 745 |
+
INFO 2025-05-02 17:23:06 ts/train.py:232 step:436K smpl:3M ep:12K epch:59.86 loss:0.002 grdn:0.141 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 746 |
+
INFO 2025-05-02 17:23:44 ts/train.py:232 step:436K smpl:3M ep:12K epch:59.89 loss:0.002 grdn:0.145 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 747 |
+
INFO 2025-05-02 17:24:22 ts/train.py:232 step:436K smpl:3M ep:12K epch:59.92 loss:0.002 grdn:0.142 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 748 |
+
INFO 2025-05-02 17:25:00 ts/train.py:232 step:436K smpl:3M ep:12K epch:59.95 loss:0.002 grdn:0.142 lr:2.1e-06 updt_s:0.189 data_s:0.000
|
| 749 |
+
INFO 2025-05-02 17:25:38 ts/train.py:232 step:436K smpl:3M ep:12K epch:59.97 loss:0.002 grdn:0.139 lr:2.0e-06 updt_s:0.190 data_s:0.000
|
| 750 |
+
INFO 2025-05-02 17:26:16 ts/train.py:232 step:437K smpl:3M ep:12K epch:60.00 loss:0.002 grdn:0.140 lr:2.0e-06 updt_s:0.189 data_s:0.001
|
| 751 |
+
INFO 2025-05-02 17:26:54 ts/train.py:232 step:437K smpl:3M ep:12K epch:60.03 loss:0.002 grdn:0.149 lr:2.0e-06 updt_s:0.189 data_s:0.000
|
| 752 |
+
INFO 2025-05-02 17:27:32 ts/train.py:232 step:437K smpl:3M ep:12K epch:60.06 loss:0.002 grdn:0.142 lr:2.0e-06 updt_s:0.189 data_s:0.001
|
| 753 |
+
INFO 2025-05-02 17:28:10 ts/train.py:232 step:437K smpl:3M ep:12K epch:60.08 loss:0.002 grdn:0.140 lr:2.0e-06 updt_s:0.189 data_s:0.001
|
| 754 |
+
INFO 2025-05-02 17:28:48 ts/train.py:232 step:437K smpl:3M ep:12K epch:60.11 loss:0.002 grdn:0.151 lr:1.9e-06 updt_s:0.189 data_s:0.001
|
| 755 |
+
INFO 2025-05-02 17:29:26 ts/train.py:232 step:438K smpl:4M ep:12K epch:60.14 loss:0.002 grdn:0.152 lr:1.9e-06 updt_s:0.189 data_s:0.001
|
| 756 |
+
INFO 2025-05-02 17:30:04 ts/train.py:232 step:438K smpl:4M ep:12K epch:60.17 loss:0.003 grdn:0.160 lr:1.9e-06 updt_s:0.189 data_s:0.000
|
| 757 |
+
INFO 2025-05-02 17:30:42 ts/train.py:232 step:438K smpl:4M ep:12K epch:60.19 loss:0.002 grdn:0.140 lr:1.9e-06 updt_s:0.189 data_s:0.001
|
| 758 |
+
INFO 2025-05-02 17:31:20 ts/train.py:232 step:438K smpl:4M ep:12K epch:60.22 loss:0.002 grdn:0.144 lr:1.9e-06 updt_s:0.189 data_s:0.001
|
| 759 |
+
INFO 2025-05-02 17:31:58 ts/train.py:232 step:438K smpl:4M ep:12K epch:60.25 loss:0.002 grdn:0.150 lr:1.9e-06 updt_s:0.189 data_s:0.001
|
| 760 |
+
INFO 2025-05-02 17:32:36 ts/train.py:232 step:439K smpl:4M ep:12K epch:60.28 loss:0.002 grdn:0.150 lr:1.8e-06 updt_s:0.189 data_s:0.001
|
| 761 |
+
INFO 2025-05-02 17:33:14 ts/train.py:232 step:439K smpl:4M ep:12K epch:60.30 loss:0.002 grdn:0.157 lr:1.8e-06 updt_s:0.189 data_s:0.000
|
| 762 |
+
INFO 2025-05-02 17:33:52 ts/train.py:232 step:439K smpl:4M ep:12K epch:60.33 loss:0.002 grdn:0.153 lr:1.8e-06 updt_s:0.189 data_s:0.000
|
| 763 |
+
INFO 2025-05-02 17:34:32 ts/train.py:232 step:439K smpl:4M ep:12K epch:60.36 loss:0.002 grdn:0.132 lr:1.8e-06 updt_s:0.189 data_s:0.007
|
| 764 |
+
INFO 2025-05-02 17:35:10 ts/train.py:232 step:439K smpl:4M ep:12K epch:60.39 loss:0.002 grdn:0.149 lr:1.8e-06 updt_s:0.189 data_s:0.001
|
| 765 |
+
INFO 2025-05-02 17:35:48 ts/train.py:232 step:440K smpl:4M ep:12K epch:60.41 loss:0.002 grdn:0.138 lr:1.7e-06 updt_s:0.189 data_s:0.001
|
| 766 |
+
INFO 2025-05-02 17:36:26 ts/train.py:232 step:440K smpl:4M ep:12K epch:60.44 loss:0.002 grdn:0.140 lr:1.7e-06 updt_s:0.189 data_s:0.001
|
| 767 |
+
INFO 2025-05-02 17:37:04 ts/train.py:232 step:440K smpl:4M ep:12K epch:60.47 loss:0.002 grdn:0.143 lr:1.7e-06 updt_s:0.189 data_s:0.001
|
| 768 |
+
INFO 2025-05-02 17:37:42 ts/train.py:232 step:440K smpl:4M ep:12K epch:60.50 loss:0.002 grdn:0.133 lr:1.7e-06 updt_s:0.189 data_s:0.001
|
| 769 |
+
INFO 2025-05-02 17:38:20 ts/train.py:232 step:440K smpl:4M ep:12K epch:60.52 loss:0.002 grdn:0.135 lr:1.7e-06 updt_s:0.189 data_s:0.001
|
| 770 |
+
INFO 2025-05-02 17:38:58 ts/train.py:232 step:441K smpl:4M ep:12K epch:60.55 loss:0.002 grdn:0.143 lr:1.7e-06 updt_s:0.189 data_s:0.000
|
| 771 |
+
INFO 2025-05-02 17:39:36 ts/train.py:232 step:441K smpl:4M ep:12K epch:60.58 loss:0.002 grdn:0.141 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 772 |
+
INFO 2025-05-02 17:40:14 ts/train.py:232 step:441K smpl:4M ep:12K epch:60.61 loss:0.002 grdn:0.136 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 773 |
+
INFO 2025-05-02 17:40:52 ts/train.py:232 step:441K smpl:4M ep:12K epch:60.63 loss:0.002 grdn:0.147 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 774 |
+
INFO 2025-05-02 17:41:30 ts/train.py:232 step:441K smpl:4M ep:12K epch:60.66 loss:0.002 grdn:0.149 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 775 |
+
INFO 2025-05-02 17:42:08 ts/train.py:232 step:442K smpl:4M ep:12K epch:60.69 loss:0.002 grdn:0.141 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 776 |
+
INFO 2025-05-02 17:42:46 ts/train.py:232 step:442K smpl:4M ep:12K epch:60.71 loss:0.002 grdn:0.144 lr:1.6e-06 updt_s:0.189 data_s:0.001
|
| 777 |
+
INFO 2025-05-02 17:43:24 ts/train.py:232 step:442K smpl:4M ep:12K epch:60.74 loss:0.002 grdn:0.158 lr:1.5e-06 updt_s:0.189 data_s:0.001
|
| 778 |
+
INFO 2025-05-02 17:44:02 ts/train.py:232 step:442K smpl:4M ep:12K epch:60.77 loss:0.002 grdn:0.143 lr:1.5e-06 updt_s:0.189 data_s:0.001
|
| 779 |
+
INFO 2025-05-02 17:44:40 ts/train.py:232 step:442K smpl:4M ep:12K epch:60.80 loss:0.002 grdn:0.141 lr:1.5e-06 updt_s:0.189 data_s:0.000
|
| 780 |
+
INFO 2025-05-02 17:45:18 ts/train.py:232 step:443K smpl:4M ep:12K epch:60.82 loss:0.002 grdn:0.142 lr:1.5e-06 updt_s:0.189 data_s:0.000
|
| 781 |
+
INFO 2025-05-02 17:45:56 ts/train.py:232 step:443K smpl:4M ep:12K epch:60.85 loss:0.002 grdn:0.137 lr:1.5e-06 updt_s:0.189 data_s:0.001
|
| 782 |
+
INFO 2025-05-02 17:46:34 ts/train.py:232 step:443K smpl:4M ep:12K epch:60.88 loss:0.002 grdn:0.147 lr:1.5e-06 updt_s:0.189 data_s:0.001
|
| 783 |
+
INFO 2025-05-02 17:47:12 ts/train.py:232 step:443K smpl:4M ep:12K epch:60.91 loss:0.002 grdn:0.130 lr:1.5e-06 updt_s:0.189 data_s:0.001
|
| 784 |
+
INFO 2025-05-02 17:47:50 ts/train.py:232 step:443K smpl:4M ep:12K epch:60.93 loss:0.002 grdn:0.154 lr:1.4e-06 updt_s:0.189 data_s:0.000
|
| 785 |
+
INFO 2025-05-02 17:48:28 ts/train.py:232 step:444K smpl:4M ep:12K epch:60.96 loss:0.002 grdn:0.159 lr:1.4e-06 updt_s:0.189 data_s:0.001
|
| 786 |
+
INFO 2025-05-02 17:49:06 ts/train.py:232 step:444K smpl:4M ep:12K epch:60.99 loss:0.002 grdn:0.150 lr:1.4e-06 updt_s:0.189 data_s:0.001
|
| 787 |
+
INFO 2025-05-02 17:49:44 ts/train.py:232 step:444K smpl:4M ep:12K epch:61.02 loss:0.002 grdn:0.142 lr:1.4e-06 updt_s:0.189 data_s:0.001
|
| 788 |
+
INFO 2025-05-02 17:50:22 ts/train.py:232 step:444K smpl:4M ep:12K epch:61.04 loss:0.002 grdn:0.140 lr:1.4e-06 updt_s:0.189 data_s:0.001
|
| 789 |
+
INFO 2025-05-02 17:51:00 ts/train.py:232 step:444K smpl:4M ep:12K epch:61.07 loss:0.002 grdn:0.157 lr:1.4e-06 updt_s:0.189 data_s:0.001
|
| 790 |
+
INFO 2025-05-02 17:51:38 ts/train.py:232 step:445K smpl:4M ep:12K epch:61.10 loss:0.002 grdn:0.136 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 791 |
+
INFO 2025-05-02 17:52:16 ts/train.py:232 step:445K smpl:4M ep:12K epch:61.13 loss:0.002 grdn:0.156 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 792 |
+
INFO 2025-05-02 17:52:54 ts/train.py:232 step:445K smpl:4M ep:12K epch:61.15 loss:0.002 grdn:0.143 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 793 |
+
INFO 2025-05-02 17:53:32 ts/train.py:232 step:445K smpl:4M ep:12K epch:61.18 loss:0.002 grdn:0.139 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 794 |
+
INFO 2025-05-02 17:54:10 ts/train.py:232 step:445K smpl:4M ep:12K epch:61.21 loss:0.002 grdn:0.152 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 795 |
+
INFO 2025-05-02 17:54:48 ts/train.py:232 step:446K smpl:4M ep:12K epch:61.24 loss:0.002 grdn:0.138 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 796 |
+
INFO 2025-05-02 17:55:26 ts/train.py:232 step:446K smpl:4M ep:12K epch:61.26 loss:0.002 grdn:0.139 lr:1.3e-06 updt_s:0.189 data_s:0.001
|
| 797 |
+
INFO 2025-05-02 17:56:04 ts/train.py:232 step:446K smpl:4M ep:12K epch:61.29 loss:0.002 grdn:0.146 lr:1.2e-06 updt_s:0.189 data_s:0.001
|
| 798 |
+
INFO 2025-05-02 17:56:42 ts/train.py:232 step:446K smpl:4M ep:12K epch:61.32 loss:0.002 grdn:0.148 lr:1.2e-06 updt_s:0.189 data_s:0.001
|
| 799 |
+
INFO 2025-05-02 17:57:22 ts/train.py:232 step:446K smpl:4M ep:12K epch:61.35 loss:0.002 grdn:0.143 lr:1.2e-06 updt_s:0.189 data_s:0.008
|
| 800 |
+
INFO 2025-05-02 17:58:00 ts/train.py:232 step:447K smpl:4M ep:12K epch:61.37 loss:0.002 grdn:0.134 lr:1.2e-06 updt_s:0.189 data_s:0.001
|
| 801 |
+
INFO 2025-05-02 17:58:38 ts/train.py:232 step:447K smpl:4M ep:12K epch:61.40 loss:0.002 grdn:0.118 lr:1.2e-06 updt_s:0.189 data_s:0.001
|
| 802 |
+
INFO 2025-05-02 17:59:16 ts/train.py:232 step:447K smpl:4M ep:12K epch:61.43 loss:0.002 grdn:0.139 lr:1.2e-06 updt_s:0.189 data_s:0.001
|
| 803 |
+
INFO 2025-05-02 17:59:54 ts/train.py:232 step:447K smpl:4M ep:12K epch:61.46 loss:0.002 grdn:0.137 lr:1.2e-06 updt_s:0.190 data_s:0.001
|
| 804 |
+
INFO 2025-05-02 18:00:32 ts/train.py:232 step:447K smpl:4M ep:12K epch:61.48 loss:0.002 grdn:0.138 lr:1.1e-06 updt_s:0.189 data_s:0.001
|
| 805 |
+
INFO 2025-05-02 18:01:10 ts/train.py:232 step:448K smpl:4M ep:12K epch:61.51 loss:0.002 grdn:0.134 lr:1.1e-06 updt_s:0.189 data_s:0.001
|
| 806 |
+
INFO 2025-05-02 18:01:48 ts/train.py:232 step:448K smpl:4M ep:12K epch:61.54 loss:0.002 grdn:0.163 lr:1.1e-06 updt_s:0.189 data_s:0.000
|
| 807 |
+
INFO 2025-05-02 18:02:26 ts/train.py:232 step:448K smpl:4M ep:12K epch:61.57 loss:0.002 grdn:0.148 lr:1.1e-06 updt_s:0.189 data_s:0.001
|
| 808 |
+
INFO 2025-05-02 18:03:05 ts/train.py:232 step:448K smpl:4M ep:12K epch:61.59 loss:0.002 grdn:0.151 lr:1.1e-06 updt_s:0.189 data_s:0.001
|
| 809 |
+
INFO 2025-05-02 18:03:43 ts/train.py:232 step:448K smpl:4M ep:12K epch:61.62 loss:0.002 grdn:0.136 lr:1.1e-06 updt_s:0.189 data_s:0.001
|
| 810 |
+
INFO 2025-05-02 18:04:21 ts/train.py:232 step:449K smpl:4M ep:12K epch:61.65 loss:0.002 grdn:0.139 lr:1.1e-06 updt_s:0.189 data_s:0.000
|
| 811 |
+
INFO 2025-05-02 18:04:59 ts/train.py:232 step:449K smpl:4M ep:12K epch:61.68 loss:0.002 grdn:0.136 lr:1.0e-06 updt_s:0.189 data_s:0.001
|
| 812 |
+
INFO 2025-05-02 18:05:37 ts/train.py:232 step:449K smpl:4M ep:12K epch:61.70 loss:0.002 grdn:0.132 lr:1.0e-06 updt_s:0.189 data_s:0.001
|
| 813 |
+
INFO 2025-05-02 18:06:15 ts/train.py:232 step:449K smpl:4M ep:12K epch:61.73 loss:0.002 grdn:0.138 lr:1.0e-06 updt_s:0.189 data_s:0.001
|
| 814 |
+
INFO 2025-05-02 18:06:53 ts/train.py:232 step:449K smpl:4M ep:12K epch:61.76 loss:0.002 grdn:0.139 lr:1.0e-06 updt_s:0.189 data_s:0.000
|
| 815 |
+
INFO 2025-05-02 18:07:31 ts/train.py:232 step:450K smpl:4M ep:12K epch:61.79 loss:0.002 grdn:0.135 lr:9.9e-07 updt_s:0.190 data_s:0.001
|
| 816 |
+
INFO 2025-05-02 18:08:09 ts/train.py:232 step:450K smpl:4M ep:12K epch:61.81 loss:0.002 grdn:0.143 lr:9.8e-07 updt_s:0.190 data_s:0.001
|
| 817 |
+
INFO 2025-05-02 18:08:47 ts/train.py:232 step:450K smpl:4M ep:12K epch:61.84 loss:0.002 grdn:0.152 lr:9.7e-07 updt_s:0.189 data_s:0.001
|
| 818 |
+
INFO 2025-05-02 18:09:26 ts/train.py:232 step:450K smpl:4M ep:12K epch:61.87 loss:0.002 grdn:0.137 lr:9.6e-07 updt_s:0.190 data_s:0.001
|
| 819 |
+
INFO 2025-05-02 18:10:04 ts/train.py:232 step:450K smpl:4M ep:12K epch:61.90 loss:0.002 grdn:0.162 lr:9.4e-07 updt_s:0.189 data_s:0.001
|
| 820 |
+
INFO 2025-05-02 18:10:42 ts/train.py:232 step:451K smpl:4M ep:12K epch:61.92 loss:0.002 grdn:0.127 lr:9.3e-07 updt_s:0.190 data_s:0.001
|
| 821 |
+
INFO 2025-05-02 18:11:20 ts/train.py:232 step:451K smpl:4M ep:12K epch:61.95 loss:0.002 grdn:0.144 lr:9.2e-07 updt_s:0.189 data_s:0.000
|
| 822 |
+
INFO 2025-05-02 18:11:58 ts/train.py:232 step:451K smpl:4M ep:12K epch:61.98 loss:0.002 grdn:0.145 lr:9.1e-07 updt_s:0.190 data_s:0.000
|
| 823 |
+
INFO 2025-05-02 18:12:36 ts/train.py:232 step:451K smpl:4M ep:12K epch:62.01 loss:0.002 grdn:0.139 lr:8.9e-07 updt_s:0.189 data_s:0.001
|
| 824 |
+
INFO 2025-05-02 18:13:14 ts/train.py:232 step:451K smpl:4M ep:12K epch:62.03 loss:0.002 grdn:0.144 lr:8.8e-07 updt_s:0.189 data_s:0.000
|
| 825 |
+
INFO 2025-05-02 18:13:52 ts/train.py:232 step:452K smpl:4M ep:12K epch:62.06 loss:0.002 grdn:0.126 lr:8.7e-07 updt_s:0.189 data_s:0.001
|
| 826 |
+
INFO 2025-05-02 18:14:30 ts/train.py:232 step:452K smpl:4M ep:12K epch:62.09 loss:0.002 grdn:0.148 lr:8.6e-07 updt_s:0.189 data_s:0.000
|
| 827 |
+
INFO 2025-05-02 18:15:08 ts/train.py:232 step:452K smpl:4M ep:12K epch:62.12 loss:0.002 grdn:0.132 lr:8.4e-07 updt_s:0.189 data_s:0.000
|
| 828 |
+
INFO 2025-05-02 18:15:46 ts/train.py:232 step:452K smpl:4M ep:12K epch:62.14 loss:0.002 grdn:0.147 lr:8.3e-07 updt_s:0.189 data_s:0.000
|
| 829 |
+
INFO 2025-05-02 18:16:24 ts/train.py:232 step:452K smpl:4M ep:12K epch:62.17 loss:0.002 grdn:0.133 lr:8.2e-07 updt_s:0.189 data_s:0.000
|
| 830 |
+
INFO 2025-05-02 18:17:02 ts/train.py:232 step:453K smpl:4M ep:12K epch:62.20 loss:0.002 grdn:0.132 lr:8.1e-07 updt_s:0.189 data_s:0.000
|
| 831 |
+
INFO 2025-05-02 18:17:40 ts/train.py:232 step:453K smpl:4M ep:12K epch:62.23 loss:0.002 grdn:0.128 lr:8.0e-07 updt_s:0.189 data_s:0.000
|
| 832 |
+
INFO 2025-05-02 18:18:18 ts/train.py:232 step:453K smpl:4M ep:12K epch:62.25 loss:0.002 grdn:0.148 lr:7.9e-07 updt_s:0.189 data_s:0.000
|
| 833 |
+
INFO 2025-05-02 18:18:56 ts/train.py:232 step:453K smpl:4M ep:12K epch:62.28 loss:0.002 grdn:0.136 lr:7.7e-07 updt_s:0.189 data_s:0.001
|
| 834 |
+
INFO 2025-05-02 18:19:36 ts/train.py:232 step:453K smpl:4M ep:12K epch:62.31 loss:0.002 grdn:0.147 lr:7.6e-07 updt_s:0.189 data_s:0.007
|
| 835 |
+
INFO 2025-05-02 18:20:14 ts/train.py:232 step:454K smpl:4M ep:12K epch:62.34 loss:0.002 grdn:0.151 lr:7.5e-07 updt_s:0.189 data_s:0.001
|
| 836 |
+
INFO 2025-05-02 18:20:52 ts/train.py:232 step:454K smpl:4M ep:12K epch:62.36 loss:0.002 grdn:0.143 lr:7.4e-07 updt_s:0.189 data_s:0.001
|
| 837 |
+
INFO 2025-05-02 18:21:30 ts/train.py:232 step:454K smpl:4M ep:12K epch:62.39 loss:0.002 grdn:0.155 lr:7.3e-07 updt_s:0.189 data_s:0.000
|
| 838 |
+
INFO 2025-05-02 18:22:08 ts/train.py:232 step:454K smpl:4M ep:12K epch:62.42 loss:0.002 grdn:0.131 lr:7.2e-07 updt_s:0.189 data_s:0.000
|
| 839 |
+
INFO 2025-05-02 18:22:46 ts/train.py:232 step:454K smpl:4M ep:12K epch:62.45 loss:0.002 grdn:0.122 lr:7.1e-07 updt_s:0.189 data_s:0.000
|
| 840 |
+
INFO 2025-05-02 18:23:24 ts/train.py:232 step:455K smpl:4M ep:12K epch:62.47 loss:0.002 grdn:0.149 lr:7.0e-07 updt_s:0.189 data_s:0.000
|
| 841 |
+
INFO 2025-05-02 18:24:02 ts/train.py:232 step:455K smpl:4M ep:13K epch:62.50 loss:0.003 grdn:0.169 lr:6.9e-07 updt_s:0.189 data_s:0.000
|
| 842 |
+
INFO 2025-05-02 18:24:40 ts/train.py:232 step:455K smpl:4M ep:13K epch:62.53 loss:0.002 grdn:0.128 lr:6.7e-07 updt_s:0.189 data_s:0.001
|
| 843 |
+
INFO 2025-05-02 18:25:18 ts/train.py:232 step:455K smpl:4M ep:13K epch:62.56 loss:0.002 grdn:0.124 lr:6.6e-07 updt_s:0.189 data_s:0.001
|
| 844 |
+
INFO 2025-05-02 18:25:56 ts/train.py:232 step:455K smpl:4M ep:13K epch:62.58 loss:0.002 grdn:0.158 lr:6.5e-07 updt_s:0.189 data_s:0.000
|
| 845 |
+
INFO 2025-05-02 18:26:34 ts/train.py:232 step:456K smpl:4M ep:13K epch:62.61 loss:0.002 grdn:0.143 lr:6.4e-07 updt_s:0.189 data_s:0.001
|
| 846 |
+
INFO 2025-05-02 18:27:12 ts/train.py:232 step:456K smpl:4M ep:13K epch:62.64 loss:0.002 grdn:0.143 lr:6.3e-07 updt_s:0.189 data_s:0.001
|
| 847 |
+
INFO 2025-05-02 18:27:50 ts/train.py:232 step:456K smpl:4M ep:13K epch:62.67 loss:0.002 grdn:0.143 lr:6.2e-07 updt_s:0.189 data_s:0.000
|
| 848 |
+
INFO 2025-05-02 18:28:28 ts/train.py:232 step:456K smpl:4M ep:13K epch:62.69 loss:0.002 grdn:0.149 lr:6.1e-07 updt_s:0.189 data_s:0.000
|
| 849 |
+
INFO 2025-05-02 18:29:06 ts/train.py:232 step:456K smpl:4M ep:13K epch:62.72 loss:0.002 grdn:0.152 lr:6.0e-07 updt_s:0.189 data_s:0.000
|
| 850 |
+
INFO 2025-05-02 18:29:44 ts/train.py:232 step:457K smpl:4M ep:13K epch:62.75 loss:0.002 grdn:0.156 lr:5.9e-07 updt_s:0.189 data_s:0.000
|
| 851 |
+
INFO 2025-05-02 18:30:22 ts/train.py:232 step:457K smpl:4M ep:13K epch:62.78 loss:0.002 grdn:0.150 lr:5.8e-07 updt_s:0.189 data_s:0.000
|
| 852 |
+
INFO 2025-05-02 18:31:00 ts/train.py:232 step:457K smpl:4M ep:13K epch:62.80 loss:0.002 grdn:0.135 lr:5.7e-07 updt_s:0.189 data_s:0.001
|
| 853 |
+
INFO 2025-05-02 18:31:38 ts/train.py:232 step:457K smpl:4M ep:13K epch:62.83 loss:0.002 grdn:0.130 lr:5.6e-07 updt_s:0.189 data_s:0.000
|
| 854 |
+
INFO 2025-05-02 18:32:16 ts/train.py:232 step:457K smpl:4M ep:13K epch:62.86 loss:0.002 grdn:0.138 lr:5.5e-07 updt_s:0.189 data_s:0.000
|
| 855 |
+
INFO 2025-05-02 18:32:54 ts/train.py:232 step:458K smpl:4M ep:13K epch:62.89 loss:0.002 grdn:0.151 lr:5.4e-07 updt_s:0.189 data_s:0.000
|
| 856 |
+
INFO 2025-05-02 18:33:32 ts/train.py:232 step:458K smpl:4M ep:13K epch:62.91 loss:0.002 grdn:0.144 lr:5.3e-07 updt_s:0.189 data_s:0.001
|
| 857 |
+
INFO 2025-05-02 18:34:10 ts/train.py:232 step:458K smpl:4M ep:13K epch:62.94 loss:0.002 grdn:0.131 lr:5.2e-07 updt_s:0.189 data_s:0.000
|
| 858 |
+
INFO 2025-05-02 18:34:48 ts/train.py:232 step:458K smpl:4M ep:13K epch:62.97 loss:0.002 grdn:0.140 lr:5.1e-07 updt_s:0.189 data_s:0.000
|
| 859 |
+
INFO 2025-05-02 18:35:26 ts/train.py:232 step:458K smpl:4M ep:13K epch:63.00 loss:0.002 grdn:0.131 lr:5.0e-07 updt_s:0.189 data_s:0.000
|
| 860 |
+
INFO 2025-05-02 18:36:04 ts/train.py:232 step:459K smpl:4M ep:13K epch:63.02 loss:0.002 grdn:0.140 lr:5.0e-07 updt_s:0.190 data_s:0.001
|
| 861 |
+
INFO 2025-05-02 18:36:42 ts/train.py:232 step:459K smpl:4M ep:13K epch:63.05 loss:0.002 grdn:0.150 lr:4.9e-07 updt_s:0.190 data_s:0.001
|
| 862 |
+
INFO 2025-05-02 18:37:21 ts/train.py:232 step:459K smpl:4M ep:13K epch:63.08 loss:0.002 grdn:0.140 lr:4.8e-07 updt_s:0.189 data_s:0.001
|
| 863 |
+
INFO 2025-05-02 18:37:59 ts/train.py:232 step:459K smpl:4M ep:13K epch:63.11 loss:0.002 grdn:0.132 lr:4.7e-07 updt_s:0.189 data_s:0.001
|
| 864 |
+
INFO 2025-05-02 18:38:37 ts/train.py:232 step:459K smpl:4M ep:13K epch:63.13 loss:0.002 grdn:0.141 lr:4.6e-07 updt_s:0.189 data_s:0.001
|
| 865 |
+
INFO 2025-05-02 18:39:15 ts/train.py:232 step:460K smpl:4M ep:13K epch:63.16 loss:0.002 grdn:0.132 lr:4.5e-07 updt_s:0.189 data_s:0.001
|
| 866 |
+
INFO 2025-05-02 18:39:53 ts/train.py:232 step:460K smpl:4M ep:13K epch:63.19 loss:0.002 grdn:0.130 lr:4.4e-07 updt_s:0.189 data_s:0.001
|
| 867 |
+
INFO 2025-05-02 18:40:31 ts/train.py:232 step:460K smpl:4M ep:13K epch:63.22 loss:0.002 grdn:0.148 lr:4.3e-07 updt_s:0.189 data_s:0.001
|
| 868 |
+
INFO 2025-05-02 18:41:09 ts/train.py:232 step:460K smpl:4M ep:13K epch:63.24 loss:0.002 grdn:0.139 lr:4.2e-07 updt_s:0.189 data_s:0.000
|
| 869 |
+
INFO 2025-05-02 18:41:47 ts/train.py:232 step:460K smpl:4M ep:13K epch:63.27 loss:0.002 grdn:0.164 lr:4.2e-07 updt_s:0.189 data_s:0.000
|
| 870 |
+
INFO 2025-05-02 18:42:26 ts/train.py:232 step:461K smpl:4M ep:13K epch:63.30 loss:0.002 grdn:0.136 lr:4.1e-07 updt_s:0.189 data_s:0.008
|
| 871 |
+
INFO 2025-05-02 18:43:04 ts/train.py:232 step:461K smpl:4M ep:13K epch:63.33 loss:0.002 grdn:0.155 lr:4.0e-07 updt_s:0.189 data_s:0.000
|
| 872 |
+
INFO 2025-05-02 18:43:43 ts/train.py:232 step:461K smpl:4M ep:13K epch:63.35 loss:0.002 grdn:0.136 lr:3.9e-07 updt_s:0.189 data_s:0.001
|
| 873 |
+
INFO 2025-05-02 18:44:21 ts/train.py:232 step:461K smpl:4M ep:13K epch:63.38 loss:0.002 grdn:0.136 lr:3.8e-07 updt_s:0.190 data_s:0.001
|
| 874 |
+
INFO 2025-05-02 18:44:59 ts/train.py:232 step:461K smpl:4M ep:13K epch:63.41 loss:0.002 grdn:0.144 lr:3.7e-07 updt_s:0.189 data_s:0.001
|
| 875 |
+
INFO 2025-05-02 18:45:37 ts/train.py:232 step:462K smpl:4M ep:13K epch:63.44 loss:0.002 grdn:0.134 lr:3.7e-07 updt_s:0.190 data_s:0.001
|
| 876 |
+
INFO 2025-05-02 18:46:15 ts/train.py:232 step:462K smpl:4M ep:13K epch:63.46 loss:0.002 grdn:0.160 lr:3.6e-07 updt_s:0.189 data_s:0.001
|
| 877 |
+
INFO 2025-05-02 18:46:53 ts/train.py:232 step:462K smpl:4M ep:13K epch:63.49 loss:0.002 grdn:0.130 lr:3.5e-07 updt_s:0.189 data_s:0.001
|
| 878 |
+
INFO 2025-05-02 18:47:31 ts/train.py:232 step:462K smpl:4M ep:13K epch:63.52 loss:0.002 grdn:0.151 lr:3.4e-07 updt_s:0.190 data_s:0.001
|
| 879 |
+
INFO 2025-05-02 18:48:10 ts/train.py:232 step:462K smpl:4M ep:13K epch:63.55 loss:0.002 grdn:0.125 lr:3.4e-07 updt_s:0.189 data_s:0.001
|
| 880 |
+
INFO 2025-05-02 18:48:48 ts/train.py:232 step:463K smpl:4M ep:13K epch:63.57 loss:0.002 grdn:0.145 lr:3.3e-07 updt_s:0.189 data_s:0.001
|
| 881 |
+
INFO 2025-05-02 18:49:26 ts/train.py:232 step:463K smpl:4M ep:13K epch:63.60 loss:0.002 grdn:0.139 lr:3.2e-07 updt_s:0.189 data_s:0.001
|
| 882 |
+
INFO 2025-05-02 18:50:04 ts/train.py:232 step:463K smpl:4M ep:13K epch:63.63 loss:0.002 grdn:0.148 lr:3.1e-07 updt_s:0.189 data_s:0.001
|
| 883 |
+
INFO 2025-05-02 18:50:42 ts/train.py:232 step:463K smpl:4M ep:13K epch:63.66 loss:0.002 grdn:0.156 lr:3.1e-07 updt_s:0.189 data_s:0.000
|
| 884 |
+
INFO 2025-05-02 18:51:20 ts/train.py:232 step:463K smpl:4M ep:13K epch:63.68 loss:0.002 grdn:0.137 lr:3.0e-07 updt_s:0.189 data_s:0.000
|
| 885 |
+
INFO 2025-05-02 18:51:58 ts/train.py:232 step:464K smpl:4M ep:13K epch:63.71 loss:0.002 grdn:0.139 lr:2.9e-07 updt_s:0.189 data_s:0.001
|
| 886 |
+
INFO 2025-05-02 18:52:36 ts/train.py:232 step:464K smpl:4M ep:13K epch:63.74 loss:0.002 grdn:0.130 lr:2.8e-07 updt_s:0.189 data_s:0.000
|
| 887 |
+
INFO 2025-05-02 18:53:14 ts/train.py:232 step:464K smpl:4M ep:13K epch:63.77 loss:0.002 grdn:0.146 lr:2.8e-07 updt_s:0.189 data_s:0.001
|
| 888 |
+
INFO 2025-05-02 18:53:52 ts/train.py:232 step:464K smpl:4M ep:13K epch:63.79 loss:0.002 grdn:0.126 lr:2.7e-07 updt_s:0.189 data_s:0.001
|
| 889 |
+
INFO 2025-05-02 18:54:30 ts/train.py:232 step:464K smpl:4M ep:13K epch:63.82 loss:0.002 grdn:0.137 lr:2.6e-07 updt_s:0.189 data_s:0.001
|
| 890 |
+
INFO 2025-05-02 18:55:08 ts/train.py:232 step:465K smpl:4M ep:13K epch:63.85 loss:0.002 grdn:0.140 lr:2.6e-07 updt_s:0.189 data_s:0.001
|
| 891 |
+
INFO 2025-05-02 18:55:46 ts/train.py:232 step:465K smpl:4M ep:13K epch:63.88 loss:0.002 grdn:0.148 lr:2.5e-07 updt_s:0.189 data_s:0.001
|
| 892 |
+
INFO 2025-05-02 18:56:24 ts/train.py:232 step:465K smpl:4M ep:13K epch:63.90 loss:0.002 grdn:0.148 lr:2.4e-07 updt_s:0.189 data_s:0.001
|
| 893 |
+
INFO 2025-05-02 18:57:02 ts/train.py:232 step:465K smpl:4M ep:13K epch:63.93 loss:0.002 grdn:0.128 lr:2.4e-07 updt_s:0.189 data_s:0.001
|
| 894 |
+
INFO 2025-05-02 18:57:40 ts/train.py:232 step:465K smpl:4M ep:13K epch:63.96 loss:0.002 grdn:0.146 lr:2.3e-07 updt_s:0.189 data_s:0.001
|
| 895 |
+
INFO 2025-05-02 18:58:18 ts/train.py:232 step:466K smpl:4M ep:13K epch:63.99 loss:0.002 grdn:0.139 lr:2.3e-07 updt_s:0.189 data_s:0.001
|
| 896 |
+
INFO 2025-05-02 18:58:56 ts/train.py:232 step:466K smpl:4M ep:13K epch:64.01 loss:0.002 grdn:0.144 lr:2.2e-07 updt_s:0.189 data_s:0.001
|
| 897 |
+
INFO 2025-05-02 18:59:34 ts/train.py:232 step:466K smpl:4M ep:13K epch:64.04 loss:0.002 grdn:0.141 lr:2.1e-07 updt_s:0.189 data_s:0.001
|
| 898 |
+
INFO 2025-05-02 19:00:12 ts/train.py:232 step:466K smpl:4M ep:13K epch:64.07 loss:0.002 grdn:0.148 lr:2.1e-07 updt_s:0.189 data_s:0.001
|
| 899 |
+
INFO 2025-05-02 19:00:50 ts/train.py:232 step:466K smpl:4M ep:13K epch:64.10 loss:0.002 grdn:0.129 lr:2.0e-07 updt_s:0.189 data_s:0.001
|
| 900 |
+
INFO 2025-05-02 19:01:28 ts/train.py:232 step:467K smpl:4M ep:13K epch:64.12 loss:0.002 grdn:0.126 lr:2.0e-07 updt_s:0.189 data_s:0.001
|
| 901 |
+
INFO 2025-05-02 19:02:06 ts/train.py:232 step:467K smpl:4M ep:13K epch:64.15 loss:0.002 grdn:0.135 lr:1.9e-07 updt_s:0.189 data_s:0.001
|
| 902 |
+
INFO 2025-05-02 19:02:44 ts/train.py:232 step:467K smpl:4M ep:13K epch:64.18 loss:0.002 grdn:0.133 lr:1.8e-07 updt_s:0.189 data_s:0.001
|
| 903 |
+
INFO 2025-05-02 19:03:22 ts/train.py:232 step:467K smpl:4M ep:13K epch:64.21 loss:0.002 grdn:0.148 lr:1.8e-07 updt_s:0.189 data_s:0.001
|
| 904 |
+
INFO 2025-05-02 19:04:01 ts/train.py:232 step:467K smpl:4M ep:13K epch:64.23 loss:0.002 grdn:0.134 lr:1.7e-07 updt_s:0.189 data_s:0.001
|
| 905 |
+
INFO 2025-05-02 19:04:40 ts/train.py:232 step:468K smpl:4M ep:13K epch:64.26 loss:0.002 grdn:0.144 lr:1.7e-07 updt_s:0.189 data_s:0.008
|
| 906 |
+
INFO 2025-05-02 19:05:18 ts/train.py:232 step:468K smpl:4M ep:13K epch:64.29 loss:0.002 grdn:0.131 lr:1.6e-07 updt_s:0.189 data_s:0.001
|
| 907 |
+
INFO 2025-05-02 19:05:56 ts/train.py:232 step:468K smpl:4M ep:13K epch:64.32 loss:0.002 grdn:0.141 lr:1.6e-07 updt_s:0.189 data_s:0.001
|
| 908 |
+
INFO 2025-05-02 19:06:34 ts/train.py:232 step:468K smpl:4M ep:13K epch:64.34 loss:0.002 grdn:0.161 lr:1.5e-07 updt_s:0.190 data_s:0.001
|
| 909 |
+
INFO 2025-05-02 19:07:13 ts/train.py:232 step:468K smpl:4M ep:13K epch:64.37 loss:0.002 grdn:0.140 lr:1.5e-07 updt_s:0.190 data_s:0.001
|
| 910 |
+
INFO 2025-05-02 19:07:51 ts/train.py:232 step:469K smpl:4M ep:13K epch:64.40 loss:0.002 grdn:0.128 lr:1.4e-07 updt_s:0.190 data_s:0.001
|
| 911 |
+
INFO 2025-05-02 19:08:29 ts/train.py:232 step:469K smpl:4M ep:13K epch:64.43 loss:0.002 grdn:0.126 lr:1.4e-07 updt_s:0.189 data_s:0.001
|
| 912 |
+
INFO 2025-05-02 19:09:07 ts/train.py:232 step:469K smpl:4M ep:13K epch:64.45 loss:0.002 grdn:0.144 lr:1.3e-07 updt_s:0.190 data_s:0.001
|
| 913 |
+
INFO 2025-05-02 19:09:45 ts/train.py:232 step:469K smpl:4M ep:13K epch:64.48 loss:0.002 grdn:0.128 lr:1.3e-07 updt_s:0.189 data_s:0.001
|
| 914 |
+
INFO 2025-05-02 19:10:23 ts/train.py:232 step:469K smpl:4M ep:13K epch:64.51 loss:0.002 grdn:0.121 lr:1.2e-07 updt_s:0.189 data_s:0.001
|
| 915 |
+
INFO 2025-05-02 19:11:01 ts/train.py:232 step:470K smpl:4M ep:13K epch:64.54 loss:0.002 grdn:0.129 lr:1.2e-07 updt_s:0.189 data_s:0.001
|
| 916 |
+
INFO 2025-05-02 19:11:39 ts/train.py:232 step:470K smpl:4M ep:13K epch:64.56 loss:0.002 grdn:0.144 lr:1.1e-07 updt_s:0.189 data_s:0.001
|
| 917 |
+
INFO 2025-05-02 19:12:17 ts/train.py:232 step:470K smpl:4M ep:13K epch:64.59 loss:0.002 grdn:0.143 lr:1.1e-07 updt_s:0.189 data_s:0.001
|
| 918 |
+
INFO 2025-05-02 19:12:56 ts/train.py:232 step:470K smpl:4M ep:13K epch:64.62 loss:0.002 grdn:0.134 lr:1.1e-07 updt_s:0.189 data_s:0.001
|
| 919 |
+
INFO 2025-05-02 19:13:34 ts/train.py:232 step:470K smpl:4M ep:13K epch:64.65 loss:0.002 grdn:0.148 lr:1.0e-07 updt_s:0.189 data_s:0.001
|
| 920 |
+
INFO 2025-05-02 19:14:12 ts/train.py:232 step:471K smpl:4M ep:13K epch:64.67 loss:0.002 grdn:0.147 lr:9.7e-08 updt_s:0.189 data_s:0.001
|
| 921 |
+
INFO 2025-05-02 19:14:50 ts/train.py:232 step:471K smpl:4M ep:13K epch:64.70 loss:0.002 grdn:0.140 lr:9.3e-08 updt_s:0.189 data_s:0.001
|
| 922 |
+
INFO 2025-05-02 19:15:28 ts/train.py:232 step:471K smpl:4M ep:13K epch:64.73 loss:0.002 grdn:0.148 lr:8.9e-08 updt_s:0.189 data_s:0.001
|
| 923 |
+
INFO 2025-05-02 19:16:06 ts/train.py:232 step:471K smpl:4M ep:13K epch:64.76 loss:0.002 grdn:0.144 lr:8.5e-08 updt_s:0.189 data_s:0.001
|
| 924 |
+
INFO 2025-05-02 19:16:44 ts/train.py:232 step:471K smpl:4M ep:13K epch:64.78 loss:0.002 grdn:0.135 lr:8.1e-08 updt_s:0.189 data_s:0.001
|
| 925 |
+
INFO 2025-05-02 19:17:22 ts/train.py:232 step:472K smpl:4M ep:13K epch:64.81 loss:0.002 grdn:0.143 lr:7.8e-08 updt_s:0.189 data_s:0.001
|
| 926 |
+
INFO 2025-05-02 19:18:01 ts/train.py:232 step:472K smpl:4M ep:13K epch:64.84 loss:0.002 grdn:0.153 lr:7.4e-08 updt_s:0.190 data_s:0.001
|
| 927 |
+
INFO 2025-05-02 19:18:39 ts/train.py:232 step:472K smpl:4M ep:13K epch:64.87 loss:0.002 grdn:0.156 lr:7.0e-08 updt_s:0.189 data_s:0.001
|
| 928 |
+
INFO 2025-05-02 19:19:17 ts/train.py:232 step:472K smpl:4M ep:13K epch:64.89 loss:0.002 grdn:0.144 lr:6.7e-08 updt_s:0.189 data_s:0.001
|
| 929 |
+
INFO 2025-05-02 19:19:55 ts/train.py:232 step:472K smpl:4M ep:13K epch:64.92 loss:0.002 grdn:0.160 lr:6.4e-08 updt_s:0.189 data_s:0.001
|
| 930 |
+
INFO 2025-05-02 19:20:33 ts/train.py:232 step:473K smpl:4M ep:13K epch:64.95 loss:0.002 grdn:0.151 lr:6.0e-08 updt_s:0.189 data_s:0.001
|
| 931 |
+
INFO 2025-05-02 19:21:11 ts/train.py:232 step:473K smpl:4M ep:13K epch:64.98 loss:0.002 grdn:0.137 lr:5.7e-08 updt_s:0.189 data_s:0.001
|
| 932 |
+
INFO 2025-05-02 19:21:49 ts/train.py:232 step:473K smpl:4M ep:13K epch:65.00 loss:0.002 grdn:0.125 lr:5.4e-08 updt_s:0.189 data_s:0.001
|
| 933 |
+
INFO 2025-05-02 19:22:27 ts/train.py:232 step:473K smpl:4M ep:13K epch:65.03 loss:0.002 grdn:0.151 lr:5.1e-08 updt_s:0.190 data_s:0.001
|
| 934 |
+
INFO 2025-05-02 19:23:05 ts/train.py:232 step:473K smpl:4M ep:13K epch:65.06 loss:0.002 grdn:0.142 lr:4.8e-08 updt_s:0.190 data_s:0.001
|
| 935 |
+
INFO 2025-05-02 19:23:44 ts/train.py:232 step:474K smpl:4M ep:13K epch:65.09 loss:0.002 grdn:0.133 lr:4.5e-08 updt_s:0.189 data_s:0.001
|
| 936 |
+
INFO 2025-05-02 19:24:22 ts/train.py:232 step:474K smpl:4M ep:13K epch:65.11 loss:0.002 grdn:0.147 lr:4.3e-08 updt_s:0.190 data_s:0.001
|
| 937 |
+
INFO 2025-05-02 19:25:00 ts/train.py:232 step:474K smpl:4M ep:13K epch:65.14 loss:0.002 grdn:0.130 lr:4.0e-08 updt_s:0.190 data_s:0.001
|
| 938 |
+
INFO 2025-05-02 19:25:38 ts/train.py:232 step:474K smpl:4M ep:13K epch:65.17 loss:0.002 grdn:0.141 lr:3.7e-08 updt_s:0.189 data_s:0.001
|
| 939 |
+
INFO 2025-05-02 19:26:16 ts/train.py:232 step:474K smpl:4M ep:13K epch:65.20 loss:0.002 grdn:0.149 lr:3.5e-08 updt_s:0.190 data_s:0.001
|
| 940 |
+
INFO 2025-05-02 19:26:54 ts/train.py:232 step:475K smpl:4M ep:13K epch:65.22 loss:0.002 grdn:0.140 lr:3.2e-08 updt_s:0.189 data_s:0.001
|
| 941 |
+
INFO 2025-05-02 19:27:34 ts/train.py:232 step:475K smpl:4M ep:13K epch:65.25 loss:0.002 grdn:0.140 lr:3.0e-08 updt_s:0.189 data_s:0.009
|
| 942 |
+
INFO 2025-05-02 19:28:12 ts/train.py:232 step:475K smpl:4M ep:13K epch:65.28 loss:0.002 grdn:0.137 lr:2.8e-08 updt_s:0.189 data_s:0.001
|
| 943 |
+
INFO 2025-05-02 19:28:50 ts/train.py:232 step:475K smpl:4M ep:13K epch:65.31 loss:0.002 grdn:0.143 lr:2.6e-08 updt_s:0.189 data_s:0.001
|
| 944 |
+
INFO 2025-05-02 19:29:28 ts/train.py:232 step:475K smpl:4M ep:13K epch:65.33 loss:0.002 grdn:0.141 lr:2.4e-08 updt_s:0.189 data_s:0.001
|
| 945 |
+
INFO 2025-05-02 19:30:07 ts/train.py:232 step:476K smpl:4M ep:13K epch:65.36 loss:0.002 grdn:0.140 lr:2.2e-08 updt_s:0.189 data_s:0.001
|
| 946 |
+
INFO 2025-05-02 19:30:45 ts/train.py:232 step:476K smpl:4M ep:13K epch:65.39 loss:0.002 grdn:0.150 lr:2.0e-08 updt_s:0.189 data_s:0.001
|
| 947 |
+
INFO 2025-05-02 19:31:23 ts/train.py:232 step:476K smpl:4M ep:13K epch:65.41 loss:0.002 grdn:0.127 lr:1.8e-08 updt_s:0.189 data_s:0.001
|
| 948 |
+
INFO 2025-05-02 19:32:01 ts/train.py:232 step:476K smpl:4M ep:13K epch:65.44 loss:0.002 grdn:0.136 lr:1.6e-08 updt_s:0.189 data_s:0.001
|
| 949 |
+
INFO 2025-05-02 19:32:39 ts/train.py:232 step:476K smpl:4M ep:13K epch:65.47 loss:0.002 grdn:0.147 lr:1.5e-08 updt_s:0.189 data_s:0.001
|
| 950 |
+
INFO 2025-05-02 19:33:17 ts/train.py:232 step:477K smpl:4M ep:13K epch:65.50 loss:0.002 grdn:0.152 lr:1.3e-08 updt_s:0.189 data_s:0.001
|
| 951 |
+
INFO 2025-05-02 19:33:55 ts/train.py:232 step:477K smpl:4M ep:13K epch:65.52 loss:0.002 grdn:0.137 lr:1.2e-08 updt_s:0.189 data_s:0.001
|
| 952 |
+
INFO 2025-05-02 19:34:34 ts/train.py:232 step:477K smpl:4M ep:13K epch:65.55 loss:0.002 grdn:0.134 lr:1.0e-08 updt_s:0.189 data_s:0.001
|
| 953 |
+
INFO 2025-05-02 19:35:12 ts/train.py:232 step:477K smpl:4M ep:13K epch:65.58 loss:0.002 grdn:0.155 lr:9.0e-09 updt_s:0.190 data_s:0.001
|
| 954 |
+
INFO 2025-05-02 19:35:50 ts/train.py:232 step:477K smpl:4M ep:13K epch:65.61 loss:0.002 grdn:0.161 lr:7.8e-09 updt_s:0.189 data_s:0.001
|
| 955 |
+
INFO 2025-05-02 19:36:28 ts/train.py:232 step:478K smpl:4M ep:13K epch:65.63 loss:0.002 grdn:0.153 lr:6.7e-09 updt_s:0.189 data_s:0.000
|
| 956 |
+
INFO 2025-05-02 19:37:06 ts/train.py:232 step:478K smpl:4M ep:13K epch:65.66 loss:0.002 grdn:0.147 lr:5.7e-09 updt_s:0.189 data_s:0.001
|
| 957 |
+
INFO 2025-05-02 19:37:44 ts/train.py:232 step:478K smpl:4M ep:13K epch:65.69 loss:0.002 grdn:0.138 lr:4.7e-09 updt_s:0.189 data_s:0.001
|
| 958 |
+
INFO 2025-05-02 19:38:22 ts/train.py:232 step:478K smpl:4M ep:13K epch:65.72 loss:0.002 grdn:0.145 lr:3.9e-09 updt_s:0.189 data_s:0.001
|
| 959 |
+
INFO 2025-05-02 19:39:00 ts/train.py:232 step:478K smpl:4M ep:13K epch:65.74 loss:0.002 grdn:0.130 lr:3.1e-09 updt_s:0.189 data_s:0.001
|
| 960 |
+
INFO 2025-05-02 19:39:38 ts/train.py:232 step:479K smpl:4M ep:13K epch:65.77 loss:0.002 grdn:0.138 lr:2.4e-09 updt_s:0.189 data_s:0.001
|
| 961 |
+
INFO 2025-05-02 19:40:16 ts/train.py:232 step:479K smpl:4M ep:13K epch:65.80 loss:0.002 grdn:0.134 lr:1.8e-09 updt_s:0.189 data_s:0.001
|
| 962 |
+
INFO 2025-05-02 19:40:54 ts/train.py:232 step:479K smpl:4M ep:13K epch:65.83 loss:0.002 grdn:0.151 lr:1.3e-09 updt_s:0.189 data_s:0.000
|
| 963 |
+
INFO 2025-05-02 19:41:32 ts/train.py:232 step:479K smpl:4M ep:13K epch:65.85 loss:0.002 grdn:0.152 lr:8.7e-10 updt_s:0.189 data_s:0.000
|
| 964 |
+
INFO 2025-05-02 19:42:10 ts/train.py:232 step:479K smpl:4M ep:13K epch:65.88 loss:0.002 grdn:0.137 lr:5.3e-10 updt_s:0.189 data_s:0.000
|
| 965 |
+
INFO 2025-05-02 19:42:48 ts/train.py:232 step:480K smpl:4M ep:13K epch:65.91 loss:0.002 grdn:0.143 lr:2.7e-10 updt_s:0.189 data_s:0.000
|
| 966 |
+
INFO 2025-05-02 19:43:26 ts/train.py:232 step:480K smpl:4M ep:13K epch:65.94 loss:0.002 grdn:0.143 lr:1.0e-10 updt_s:0.189 data_s:0.000
|
| 967 |
+
INFO 2025-05-02 19:44:04 ts/train.py:232 step:480K smpl:4M ep:13K epch:65.96 loss:0.002 grdn:0.146 lr:1.4e-11 updt_s:0.190 data_s:0.001
|
| 968 |
+
INFO 2025-05-02 19:44:04 ts/train.py:241 Checkpoint policy after step 480000
|
| 969 |
+
INFO 2025-05-02 19:44:07 ts/train.py:283 End of training
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/files/wandb-summary.json
ADDED
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| 1 |
+
{"_timestamp":1.746215044857946e+09,"train/update_s":0.19020649950602092,"train/epochs":65.96464707195987,"_runtime":36144.82010366,"train/steps":480000,"train/samples":3840000,"train/lr":1.420159801981957e-11,"_wandb":{"runtime":36144},"train/grad_norm":0.14647003438323736,"train/loss":0.0020003150585034745,"_step":480000,"train/episodes":13192.929414391974,"train/dataloading_s":0.0007365495146950707}
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug-core.log
CHANGED
|
@@ -4,3 +4,11 @@
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|
| 4 |
{"time":"2025-05-02T09:41:42.975135215Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:53392"}
|
| 5 |
{"time":"2025-05-02T09:41:42.98291835Z","level":"INFO","msg":"handleInformInit: received","streamId":"yq6yqt83","id":"127.0.0.1:53392"}
|
| 6 |
{"time":"2025-05-02T09:41:43.315603645Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"yq6yqt83","id":"127.0.0.1:53392"}
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|
|
|
|
|
|
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|
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|
| 4 |
{"time":"2025-05-02T09:41:42.975135215Z","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"127.0.0.1:53392"}
|
| 5 |
{"time":"2025-05-02T09:41:42.98291835Z","level":"INFO","msg":"handleInformInit: received","streamId":"yq6yqt83","id":"127.0.0.1:53392"}
|
| 6 |
{"time":"2025-05-02T09:41:43.315603645Z","level":"INFO","msg":"handleInformInit: stream started","streamId":"yq6yqt83","id":"127.0.0.1:53392"}
|
| 7 |
+
{"time":"2025-05-02T19:44:07.80239725Z","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"127.0.0.1:53392"}
|
| 8 |
+
{"time":"2025-05-02T19:44:07.80247924Z","level":"INFO","msg":"server is shutting down"}
|
| 9 |
+
{"time":"2025-05-02T19:44:07.80246858Z","level":"INFO","msg":"connection: closing","id":"127.0.0.1:53392"}
|
| 10 |
+
{"time":"2025-05-02T19:44:07.80258016Z","level":"INFO","msg":"connection: closed successfully","id":"127.0.0.1:53392"}
|
| 11 |
+
{"time":"2025-05-02T19:44:28.861050086Z","level":"ERROR","msg":"processOutgoingData: flush error","error":"write tcp 127.0.0.1:41603->127.0.0.1:53392: use of closed network connection","id":"127.0.0.1:53392"}
|
| 12 |
+
{"time":"2025-05-02T19:44:29.192373617Z","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"127.0.0.1:53392"}
|
| 13 |
+
{"time":"2025-05-02T19:44:29.192412307Z","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"127.0.0.1:53392"}
|
| 14 |
+
{"time":"2025-05-02T19:44:29.192431847Z","level":"INFO","msg":"server is closed"}
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug-internal.log
CHANGED
|
@@ -428,3 +428,11 @@
|
|
| 428 |
{"time":"2025-05-02T10:11:50.147964916Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
|
| 429 |
{"time":"2025-05-02T10:11:50.147970006Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
|
| 430 |
{"time":"2025-05-02T10:11:50.147975025Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
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|
|
| 428 |
{"time":"2025-05-02T10:11:50.147964916Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
|
| 429 |
{"time":"2025-05-02T10:11:50.147970006Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
|
| 430 |
{"time":"2025-05-02T10:11:50.147975025Z","level":"WARN","msg":"handler: ignoring partial history record","step":299400,"current":299401}
|
| 431 |
+
{"time":"2025-05-02T19:44:07.80251913Z","level":"INFO","msg":"stream: closing","id":"yq6yqt83"}
|
| 432 |
+
{"time":"2025-05-02T19:44:07.80254894Z","level":"INFO","msg":"Stopping system monitor"}
|
| 433 |
+
{"time":"2025-05-02T19:44:07.80259978Z","level":"INFO","msg":"Stopped system monitor"}
|
| 434 |
+
{"time":"2025-05-02T19:44:28.911193425Z","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 435 |
+
{"time":"2025-05-02T19:44:29.19049015Z","level":"INFO","msg":"handler: closed","stream_id":"yq6yqt83"}
|
| 436 |
+
{"time":"2025-05-02T19:44:29.19053411Z","level":"INFO","msg":"writer: Close: closed","stream_id":"yq6yqt83"}
|
| 437 |
+
{"time":"2025-05-02T19:44:29.19056734Z","level":"INFO","msg":"sender: closed","stream_id":"yq6yqt83"}
|
| 438 |
+
{"time":"2025-05-02T19:44:29.19062031Z","level":"INFO","msg":"stream: closed","id":"yq6yqt83"}
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/logs/debug.log
CHANGED
|
@@ -21,3 +21,4 @@ config: {'dataset': {'repo_id': 'shylee/so100_cube', 'root': '/SSD/LSY/lerobot',
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|
| 21 |
2025-05-02 09:41:44,089 INFO MainThread:100868 [wandb_run.py:_redirect():2371] Wrapping output streams.
|
| 22 |
2025-05-02 09:41:44,089 INFO MainThread:100868 [wandb_run.py:_redirect():2394] Redirects installed.
|
| 23 |
2025-05-02 09:41:44,090 INFO MainThread:100868 [wandb_init.py:init():1056] run started, returning control to user process
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| 21 |
2025-05-02 09:41:44,089 INFO MainThread:100868 [wandb_run.py:_redirect():2371] Wrapping output streams.
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| 22 |
2025-05-02 09:41:44,089 INFO MainThread:100868 [wandb_run.py:_redirect():2394] Redirects installed.
|
| 23 |
2025-05-02 09:41:44,090 INFO MainThread:100868 [wandb_init.py:init():1056] run started, returning control to user process
|
| 24 |
+
2025-05-02 19:44:07,801 INFO MsgRouterThr:100868 [mailbox.py:close():129] [no run ID] Closing mailbox, abandoning 2 handles.
|
DP_cube_downDims1_cropNo_freeze1_64_64_ema0_1e-4/wandb/run-20250502_094142-yq6yqt83/run-yq6yqt83.wandb
CHANGED
|
@@ -1,3 +1,3 @@
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|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:52ecb426cf26432afa2b1007930479778fc5c146927a1af601da5180cf46b37d
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| 3 |
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size 8483862
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