Upload 43 files
Browse files- .gitattributes +1 -0
- checkpoints/020000/pretrained_model/config.json +64 -0
- checkpoints/020000/pretrained_model/model.safetensors +3 -0
- checkpoints/020000/pretrained_model/train_config.json +170 -0
- checkpoints/020000/training_state/optimizer_param_groups.json +191 -0
- checkpoints/020000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/020000/training_state/rng_state.safetensors +3 -0
- checkpoints/020000/training_state/training_step.json +3 -0
- checkpoints/040000/pretrained_model/config.json +64 -0
- checkpoints/040000/pretrained_model/model.safetensors +3 -0
- checkpoints/040000/pretrained_model/train_config.json +170 -0
- checkpoints/040000/training_state/optimizer_param_groups.json +191 -0
- checkpoints/040000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/040000/training_state/rng_state.safetensors +3 -0
- checkpoints/040000/training_state/training_step.json +3 -0
- checkpoints/060000/pretrained_model/config.json +64 -0
- checkpoints/060000/pretrained_model/model.safetensors +3 -0
- checkpoints/060000/pretrained_model/train_config.json +170 -0
- checkpoints/060000/training_state/optimizer_param_groups.json +191 -0
- checkpoints/060000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/060000/training_state/rng_state.safetensors +3 -0
- checkpoints/060000/training_state/training_step.json +3 -0
- checkpoints/080000/pretrained_model/config.json +64 -0
- checkpoints/080000/pretrained_model/model.safetensors +3 -0
- checkpoints/080000/pretrained_model/train_config.json +170 -0
- checkpoints/080000/training_state/optimizer_param_groups.json +191 -0
- checkpoints/080000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/080000/training_state/rng_state.safetensors +3 -0
- checkpoints/080000/training_state/training_step.json +3 -0
- checkpoints/100000/pretrained_model/config.json +64 -0
- checkpoints/100000/pretrained_model/model.safetensors +3 -0
- checkpoints/100000/pretrained_model/train_config.json +170 -0
- checkpoints/100000/training_state/optimizer_param_groups.json +191 -0
- checkpoints/100000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/100000/training_state/rng_state.safetensors +3 -0
- checkpoints/100000/training_state/training_step.json +3 -0
- wandb/run-20250827_180348-gev70sm3/files/config.yaml +198 -0
- wandb/run-20250827_180348-gev70sm3/files/output.log +519 -0
- wandb/run-20250827_180348-gev70sm3/files/requirements.txt +130 -0
- wandb/run-20250827_180348-gev70sm3/files/wandb-metadata.json +48 -0
- wandb/run-20250827_180348-gev70sm3/files/wandb-summary.json +1 -0
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- wandb/run-20250827_180348-gev70sm3/logs/debug.log +22 -0
- wandb/run-20250827_180348-gev70sm3/run-gev70sm3.wandb +3 -0
.gitattributes
CHANGED
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checkpoints/020000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
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checkpoints/020000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 412817652
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checkpoints/020000/training_state/rng_state.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 15708
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checkpoints/020000/training_state/training_step.json
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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{
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| 2 |
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|
| 3 |
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|
checkpoints/040000/pretrained_model/config.json
ADDED
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@@ -0,0 +1,64 @@
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| 9 |
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| 11 |
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|
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| 17 |
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| 18 |
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|
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| 34 |
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| 35 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
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|
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|
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|
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|
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|
| 56 |
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|
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|
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|
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|
| 60 |
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|
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| 63 |
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"optimizer_lr_backbone": 1e-05
|
| 64 |
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checkpoints/040000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 3 |
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size 206701096
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checkpoints/040000/pretrained_model/train_config.json
ADDED
|
@@ -0,0 +1,170 @@
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|
checkpoints/040000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
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checkpoints/060000/training_state/optimizer_state.safetensors
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|
checkpoints/080000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
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|
checkpoints/080000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
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|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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checkpoints/100000/pretrained_model/train_config.json
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checkpoints/100000/training_state/optimizer_param_groups.json
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wandb/run-20250827_180348-gev70sm3/files/config.yaml
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jzd2av70uw1uahp51ajb6t1ld4j2ofph:
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args:
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|
| 8 |
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- --policy.type=act
|
| 9 |
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|
| 10 |
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|
| 11 |
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|
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|
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codePath: lerobot/scripts/train.py
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codePathLocal: lerobot/scripts/train.py
|
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disk:
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/:
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total: "210235006976"
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used: "109222535168"
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| 23 |
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executable: /home/jy/miniconda3/envs/lerobot/bin/python
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| 24 |
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git:
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| 25 |
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commit: 3be9cb6e6aa2f67c39eecc133a43e6cb93201336
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remote: https://github.com/jooyoung13/lerobot.git
|
| 27 |
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gpu: NVIDIA GeForce RTX 4060
|
| 28 |
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gpu_count: 1
|
| 29 |
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gpu_nvidia:
|
| 30 |
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- architecture: Ada
|
| 31 |
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cudaCores: 3072
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memoryTotal: "8585740288"
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name: NVIDIA GeForce RTX 4060
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uuid: GPU-2dbfbd4b-ea65-42ac-f207-c761d74aacc4
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host: jy-pc
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total: "33375277056"
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program: /home/jy/lerobot/lerobot/scripts/train.py
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| 40 |
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python: CPython 3.10.18
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root: outputs/train/act_carrot_test
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startedAt: "2025-08-27T09:03:48.273605Z"
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writerId: jzd2av70uw1uahp51ajb6t1ld4j2ofph
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|
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|
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|
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|
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|
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|
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|
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|
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pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
|
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type: act
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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project: lerobot
|
| 198 |
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run_id: null
|
wandb/run-20250827_180348-gev70sm3/files/output.log
ADDED
|
@@ -0,0 +1,519 @@
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|
| 1 |
+
[1m[34mLogs will be synced with wandb.[0m
|
| 2 |
+
INFO 2025-08-27 18:03:49 ndb_utils.py:96 Track this run --> [1m[33mhttps://wandb.ai/jooyoung13-seoul-national-university/lerobot/runs/gev70sm3[0m
|
| 3 |
+
INFO 2025-08-27 18:03:49 ts/train.py:127 Creating dataset
|
| 4 |
+
Resolving data files: 100%|███████████████████████████████████████████████████████████████████████████████| 50/50 [00:00<00:00, 528249.87it/s]
|
| 5 |
+
INFO 2025-08-27 18:03:55 ts/train.py:138 Creating policy
|
| 6 |
+
INFO 2025-08-27 18:03:56 ts/train.py:144 Creating optimizer and scheduler
|
| 7 |
+
INFO 2025-08-27 18:03:56 ts/train.py:156 [1m[33mOutput dir:[0m outputs/train/act_carrot_test
|
| 8 |
+
INFO 2025-08-27 18:03:56 ts/train.py:159 cfg.steps=100000 (100K)
|
| 9 |
+
INFO 2025-08-27 18:03:56 ts/train.py:160 dataset.num_frames=44949 (45K)
|
| 10 |
+
INFO 2025-08-27 18:03:56 ts/train.py:161 dataset.num_episodes=50
|
| 11 |
+
INFO 2025-08-27 18:03:56 ts/train.py:162 num_learnable_params=51597190 (52M)
|
| 12 |
+
INFO 2025-08-27 18:03:56 ts/train.py:163 num_total_params=51597238 (52M)
|
| 13 |
+
INFO 2025-08-27 18:03:56 ts/train.py:202 Start offline training on a fixed dataset
|
| 14 |
+
INFO 2025-08-27 18:04:54 ts/train.py:232 step:200 smpl:2K ep:2 epch:0.04 loss:6.817 grdn:160.264 lr:1.0e-05 updt_s:0.291 data_s:0.001
|
| 15 |
+
INFO 2025-08-27 18:05:52 ts/train.py:232 step:400 smpl:3K ep:4 epch:0.07 loss:2.858 grdn:86.291 lr:1.0e-05 updt_s:0.290 data_s:0.000
|
| 16 |
+
INFO 2025-08-27 18:06:50 ts/train.py:232 step:600 smpl:5K ep:5 epch:0.11 loss:2.401 grdn:75.724 lr:1.0e-05 updt_s:0.288 data_s:0.000
|
| 17 |
+
INFO 2025-08-27 18:07:48 ts/train.py:232 step:800 smpl:6K ep:7 epch:0.14 loss:2.124 grdn:69.208 lr:1.0e-05 updt_s:0.287 data_s:0.000
|
| 18 |
+
INFO 2025-08-27 18:08:45 ts/train.py:232 step:1K smpl:8K ep:9 epch:0.18 loss:1.917 grdn:64.682 lr:1.0e-05 updt_s:0.287 data_s:0.000
|
| 19 |
+
INFO 2025-08-27 18:09:42 ts/train.py:232 step:1K smpl:10K ep:11 epch:0.21 loss:1.743 grdn:61.710 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 20 |
+
INFO 2025-08-27 18:10:39 ts/train.py:232 step:1K smpl:11K ep:12 epch:0.25 loss:1.580 grdn:58.998 lr:1.0e-05 updt_s:0.284 data_s:0.000
|
| 21 |
+
INFO 2025-08-27 18:11:35 ts/train.py:232 step:2K smpl:13K ep:14 epch:0.28 loss:1.437 grdn:55.378 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 22 |
+
INFO 2025-08-27 18:12:32 ts/train.py:232 step:2K smpl:14K ep:16 epch:0.32 loss:1.285 grdn:52.883 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 23 |
+
INFO 2025-08-27 18:13:28 ts/train.py:232 step:2K smpl:16K ep:18 epch:0.36 loss:1.165 grdn:50.119 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 24 |
+
INFO 2025-08-27 18:14:25 ts/train.py:232 step:2K smpl:18K ep:20 epch:0.39 loss:1.078 grdn:48.381 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 25 |
+
INFO 2025-08-27 18:15:21 ts/train.py:232 step:2K smpl:19K ep:21 epch:0.43 loss:0.979 grdn:45.460 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 26 |
+
INFO 2025-08-27 18:16:18 ts/train.py:232 step:3K smpl:21K ep:23 epch:0.46 loss:0.875 grdn:43.669 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 27 |
+
INFO 2025-08-27 18:17:14 ts/train.py:232 step:3K smpl:22K ep:25 epch:0.50 loss:0.801 grdn:41.563 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 28 |
+
INFO 2025-08-27 18:18:11 ts/train.py:232 step:3K smpl:24K ep:27 epch:0.53 loss:0.731 grdn:39.670 lr:1.0e-05 updt_s:0.282 data_s:0.000
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| 29 |
+
INFO 2025-08-27 18:19:07 ts/train.py:232 step:3K smpl:26K ep:28 epch:0.57 loss:0.663 grdn:36.985 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 30 |
+
INFO 2025-08-27 18:20:04 ts/train.py:232 step:3K smpl:27K ep:30 epch:0.61 loss:0.602 grdn:35.265 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 31 |
+
INFO 2025-08-27 18:21:00 ts/train.py:232 step:4K smpl:29K ep:32 epch:0.64 loss:0.558 grdn:33.891 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 32 |
+
INFO 2025-08-27 18:21:57 ts/train.py:232 step:4K smpl:30K ep:34 epch:0.68 loss:0.521 grdn:32.589 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 33 |
+
INFO 2025-08-27 18:22:53 ts/train.py:232 step:4K smpl:32K ep:36 epch:0.71 loss:0.471 grdn:30.980 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 34 |
+
INFO 2025-08-27 18:23:50 ts/train.py:232 step:4K smpl:34K ep:37 epch:0.75 loss:0.439 grdn:29.934 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 35 |
+
INFO 2025-08-27 18:24:46 ts/train.py:232 step:4K smpl:35K ep:39 epch:0.78 loss:0.408 grdn:28.102 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 36 |
+
INFO 2025-08-27 18:25:43 ts/train.py:232 step:5K smpl:37K ep:41 epch:0.82 loss:0.381 grdn:27.568 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 37 |
+
INFO 2025-08-27 18:26:39 ts/train.py:232 step:5K smpl:38K ep:43 epch:0.85 loss:0.359 grdn:26.750 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 38 |
+
INFO 2025-08-27 18:27:36 ts/train.py:232 step:5K smpl:40K ep:44 epch:0.89 loss:0.343 grdn:25.476 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 39 |
+
INFO 2025-08-27 18:28:32 ts/train.py:232 step:5K smpl:42K ep:46 epch:0.93 loss:0.315 grdn:24.314 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 40 |
+
INFO 2025-08-27 18:29:29 ts/train.py:232 step:5K smpl:43K ep:48 epch:0.96 loss:0.304 grdn:23.573 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 41 |
+
INFO 2025-08-27 18:30:25 ts/train.py:232 step:6K smpl:45K ep:50 epch:1.00 loss:0.295 grdn:22.978 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 42 |
+
INFO 2025-08-27 18:31:23 ts/train.py:232 step:6K smpl:46K ep:52 epch:1.03 loss:0.276 grdn:22.229 lr:1.0e-05 updt_s:0.285 data_s:0.002
|
| 43 |
+
INFO 2025-08-27 18:32:19 ts/train.py:232 step:6K smpl:48K ep:53 epch:1.07 loss:0.264 grdn:21.699 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 44 |
+
INFO 2025-08-27 18:33:16 ts/train.py:232 step:6K smpl:50K ep:55 epch:1.10 loss:0.256 grdn:20.766 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 45 |
+
INFO 2025-08-27 18:34:12 ts/train.py:232 step:6K smpl:51K ep:57 epch:1.14 loss:0.248 grdn:20.840 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 46 |
+
INFO 2025-08-27 18:35:09 ts/train.py:232 step:7K smpl:53K ep:59 epch:1.17 loss:0.240 grdn:20.455 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 47 |
+
INFO 2025-08-27 18:36:05 ts/train.py:232 step:7K smpl:54K ep:61 epch:1.21 loss:0.233 grdn:20.393 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 48 |
+
INFO 2025-08-27 18:37:02 ts/train.py:232 step:7K smpl:56K ep:62 epch:1.25 loss:0.225 grdn:20.241 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 49 |
+
INFO 2025-08-27 18:37:58 ts/train.py:232 step:7K smpl:58K ep:64 epch:1.28 loss:0.216 grdn:19.176 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 50 |
+
INFO 2025-08-27 18:38:55 ts/train.py:232 step:7K smpl:59K ep:66 epch:1.32 loss:0.216 grdn:18.913 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 51 |
+
INFO 2025-08-27 18:39:51 ts/train.py:232 step:8K smpl:61K ep:68 epch:1.35 loss:0.211 grdn:18.308 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 52 |
+
INFO 2025-08-27 18:40:48 ts/train.py:232 step:8K smpl:62K ep:69 epch:1.39 loss:0.203 grdn:18.084 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 53 |
+
INFO 2025-08-27 18:41:44 ts/train.py:232 step:8K smpl:64K ep:71 epch:1.42 loss:0.196 grdn:17.789 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 54 |
+
INFO 2025-08-27 18:42:40 ts/train.py:232 step:8K smpl:66K ep:73 epch:1.46 loss:0.191 grdn:17.996 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 55 |
+
INFO 2025-08-27 18:43:36 ts/train.py:232 step:8K smpl:67K ep:75 epch:1.50 loss:0.187 grdn:17.238 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 56 |
+
INFO 2025-08-27 18:44:33 ts/train.py:232 step:9K smpl:69K ep:77 epch:1.53 loss:0.189 grdn:17.115 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 57 |
+
INFO 2025-08-27 18:45:29 ts/train.py:232 step:9K smpl:70K ep:78 epch:1.57 loss:0.187 grdn:17.218 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 58 |
+
INFO 2025-08-27 18:46:25 ts/train.py:232 step:9K smpl:72K ep:80 epch:1.60 loss:0.179 grdn:16.860 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 59 |
+
INFO 2025-08-27 18:47:21 ts/train.py:232 step:9K smpl:74K ep:82 epch:1.64 loss:0.177 grdn:16.549 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 60 |
+
INFO 2025-08-27 18:48:17 ts/train.py:232 step:9K smpl:75K ep:84 epch:1.67 loss:0.174 grdn:16.008 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 61 |
+
INFO 2025-08-27 18:49:13 ts/train.py:232 step:10K smpl:77K ep:85 epch:1.71 loss:0.172 grdn:15.881 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 62 |
+
INFO 2025-08-27 18:50:09 ts/train.py:232 step:10K smpl:78K ep:87 epch:1.74 loss:0.168 grdn:15.602 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 63 |
+
INFO 2025-08-27 18:51:05 ts/train.py:232 step:10K smpl:80K ep:89 epch:1.78 loss:0.167 grdn:15.698 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 64 |
+
INFO 2025-08-27 18:52:02 ts/train.py:232 step:10K smpl:82K ep:91 epch:1.82 loss:0.161 grdn:15.322 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 65 |
+
INFO 2025-08-27 18:52:58 ts/train.py:232 step:10K smpl:83K ep:93 epch:1.85 loss:0.168 grdn:15.664 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 66 |
+
INFO 2025-08-27 18:53:54 ts/train.py:232 step:11K smpl:85K ep:94 epch:1.89 loss:0.162 grdn:15.166 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 67 |
+
INFO 2025-08-27 18:54:50 ts/train.py:232 step:11K smpl:86K ep:96 epch:1.92 loss:0.155 grdn:14.835 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 68 |
+
INFO 2025-08-27 18:55:46 ts/train.py:232 step:11K smpl:88K ep:98 epch:1.96 loss:0.159 grdn:15.011 lr:1.0e-05 updt_s:0.281 data_s:0.000
|
| 69 |
+
INFO 2025-08-27 18:56:42 ts/train.py:232 step:11K smpl:90K ep:100 epch:1.99 loss:0.149 grdn:14.285 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 70 |
+
INFO 2025-08-27 18:57:39 ts/train.py:232 step:11K smpl:91K ep:101 epch:2.03 loss:0.156 grdn:14.778 lr:1.0e-05 updt_s:0.280 data_s:0.001
|
| 71 |
+
INFO 2025-08-27 18:58:35 ts/train.py:232 step:12K smpl:93K ep:103 epch:2.06 loss:0.148 grdn:14.216 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 72 |
+
INFO 2025-08-27 18:59:31 ts/train.py:232 step:12K smpl:94K ep:105 epch:2.10 loss:0.145 grdn:13.993 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 73 |
+
INFO 2025-08-27 19:00:27 ts/train.py:232 step:12K smpl:96K ep:107 epch:2.14 loss:0.146 grdn:14.142 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 74 |
+
INFO 2025-08-27 19:01:23 ts/train.py:232 step:12K smpl:98K ep:109 epch:2.17 loss:0.141 grdn:13.561 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 75 |
+
INFO 2025-08-27 19:02:19 ts/train.py:232 step:12K smpl:99K ep:110 epch:2.21 loss:0.140 grdn:13.597 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 76 |
+
INFO 2025-08-27 19:03:15 ts/train.py:232 step:13K smpl:101K ep:112 epch:2.24 loss:0.139 grdn:13.512 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 77 |
+
INFO 2025-08-27 19:04:12 ts/train.py:232 step:13K smpl:102K ep:114 epch:2.28 loss:0.138 grdn:13.352 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 78 |
+
INFO 2025-08-27 19:05:08 ts/train.py:232 step:13K smpl:104K ep:116 epch:2.31 loss:0.138 grdn:13.087 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 79 |
+
INFO 2025-08-27 19:06:04 ts/train.py:232 step:13K smpl:106K ep:117 epch:2.35 loss:0.134 grdn:12.942 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 80 |
+
INFO 2025-08-27 19:07:00 ts/train.py:232 step:13K smpl:107K ep:119 epch:2.38 loss:0.133 grdn:13.252 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 81 |
+
INFO 2025-08-27 19:07:56 ts/train.py:232 step:14K smpl:109K ep:121 epch:2.42 loss:0.136 grdn:13.084 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 82 |
+
INFO 2025-08-27 19:08:52 ts/train.py:232 step:14K smpl:110K ep:123 epch:2.46 loss:0.132 grdn:12.777 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 83 |
+
INFO 2025-08-27 19:09:48 ts/train.py:232 step:14K smpl:112K ep:125 epch:2.49 loss:0.131 grdn:12.537 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 84 |
+
INFO 2025-08-27 19:10:45 ts/train.py:232 step:14K smpl:114K ep:126 epch:2.53 loss:0.131 grdn:12.502 lr:1.0e-05 updt_s:0.281 data_s:0.000
|
| 85 |
+
INFO 2025-08-27 19:11:41 ts/train.py:232 step:14K smpl:115K ep:128 epch:2.56 loss:0.129 grdn:12.544 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 86 |
+
INFO 2025-08-27 19:12:37 ts/train.py:232 step:15K smpl:117K ep:130 epch:2.60 loss:0.126 grdn:12.466 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 87 |
+
INFO 2025-08-27 19:13:33 ts/train.py:232 step:15K smpl:118K ep:132 epch:2.63 loss:0.129 grdn:12.326 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 88 |
+
INFO 2025-08-27 19:14:29 ts/train.py:232 step:15K smpl:120K ep:133 epch:2.67 loss:0.119 grdn:11.823 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 89 |
+
INFO 2025-08-27 19:15:25 ts/train.py:232 step:15K smpl:122K ep:135 epch:2.71 loss:0.126 grdn:12.112 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 90 |
+
INFO 2025-08-27 19:16:21 ts/train.py:232 step:15K smpl:123K ep:137 epch:2.74 loss:0.123 grdn:11.900 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 91 |
+
INFO 2025-08-27 19:17:18 ts/train.py:232 step:16K smpl:125K ep:139 epch:2.78 loss:0.123 grdn:11.929 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 92 |
+
INFO 2025-08-27 19:18:14 ts/train.py:232 step:16K smpl:126K ep:141 epch:2.81 loss:0.122 grdn:11.811 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 93 |
+
INFO 2025-08-27 19:19:10 ts/train.py:232 step:16K smpl:128K ep:142 epch:2.85 loss:0.118 grdn:11.712 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 94 |
+
INFO 2025-08-27 19:20:06 ts/train.py:232 step:16K smpl:130K ep:144 epch:2.88 loss:0.115 grdn:11.129 lr:1.0e-05 updt_s:0.281 data_s:0.000
|
| 95 |
+
INFO 2025-08-27 19:21:03 ts/train.py:232 step:16K smpl:131K ep:146 epch:2.92 loss:0.119 grdn:11.557 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 96 |
+
INFO 2025-08-27 19:21:59 ts/train.py:232 step:17K smpl:133K ep:148 epch:2.95 loss:0.119 grdn:11.728 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 97 |
+
INFO 2025-08-27 19:22:56 ts/train.py:232 step:17K smpl:134K ep:150 epch:2.99 loss:0.113 grdn:11.594 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 98 |
+
INFO 2025-08-27 19:23:52 ts/train.py:232 step:17K smpl:136K ep:151 epch:3.03 loss:0.112 grdn:11.085 lr:1.0e-05 updt_s:0.282 data_s:0.002
|
| 99 |
+
INFO 2025-08-27 19:24:49 ts/train.py:232 step:17K smpl:138K ep:153 epch:3.06 loss:0.116 grdn:11.083 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 100 |
+
INFO 2025-08-27 19:25:46 ts/train.py:232 step:17K smpl:139K ep:155 epch:3.10 loss:0.116 grdn:10.793 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 101 |
+
INFO 2025-08-27 19:26:42 ts/train.py:232 step:18K smpl:141K ep:157 epch:3.13 loss:0.115 grdn:11.049 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 102 |
+
INFO 2025-08-27 19:27:39 ts/train.py:232 step:18K smpl:142K ep:158 epch:3.17 loss:0.110 grdn:10.965 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 103 |
+
INFO 2025-08-27 19:28:35 ts/train.py:232 step:18K smpl:144K ep:160 epch:3.20 loss:0.107 grdn:10.926 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 104 |
+
INFO 2025-08-27 19:29:32 ts/train.py:232 step:18K smpl:146K ep:162 epch:3.24 loss:0.106 grdn:10.553 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 105 |
+
INFO 2025-08-27 19:30:28 ts/train.py:232 step:18K smpl:147K ep:164 epch:3.27 loss:0.111 grdn:10.734 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 106 |
+
INFO 2025-08-27 19:31:25 ts/train.py:232 step:19K smpl:149K ep:166 epch:3.31 loss:0.109 grdn:10.969 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 107 |
+
INFO 2025-08-27 19:32:21 ts/train.py:232 step:19K smpl:150K ep:167 epch:3.35 loss:0.104 grdn:10.209 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 108 |
+
INFO 2025-08-27 19:33:18 ts/train.py:232 step:19K smpl:152K ep:169 epch:3.38 loss:0.103 grdn:10.066 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 109 |
+
INFO 2025-08-27 19:34:14 ts/train.py:232 step:19K smpl:154K ep:171 epch:3.42 loss:0.107 grdn:10.163 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 110 |
+
INFO 2025-08-27 19:35:11 ts/train.py:232 step:19K smpl:155K ep:173 epch:3.45 loss:0.105 grdn:10.301 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 111 |
+
INFO 2025-08-27 19:36:08 ts/train.py:232 step:20K smpl:157K ep:174 epch:3.49 loss:0.106 grdn:10.552 lr:1.0e-05 updt_s:0.286 data_s:0.000
|
| 112 |
+
INFO 2025-08-27 19:37:05 ts/train.py:232 step:20K smpl:158K ep:176 epch:3.52 loss:0.102 grdn:9.948 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 113 |
+
INFO 2025-08-27 19:38:02 ts/train.py:232 step:20K smpl:160K ep:178 epch:3.56 loss:0.108 grdn:10.315 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 114 |
+
INFO 2025-08-27 19:38:02 ts/train.py:241 Checkpoint policy after step 20000
|
| 115 |
+
INFO 2025-08-27 19:38:59 ts/train.py:232 step:20K smpl:162K ep:180 epch:3.60 loss:0.103 grdn:10.066 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 116 |
+
INFO 2025-08-27 19:39:56 ts/train.py:232 step:20K smpl:163K ep:182 epch:3.63 loss:0.102 grdn:9.750 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 117 |
+
INFO 2025-08-27 19:40:52 ts/train.py:232 step:21K smpl:165K ep:183 epch:3.67 loss:0.102 grdn:9.821 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 118 |
+
INFO 2025-08-27 19:41:49 ts/train.py:232 step:21K smpl:166K ep:185 epch:3.70 loss:0.102 grdn:9.654 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 119 |
+
INFO 2025-08-27 19:42:46 ts/train.py:232 step:21K smpl:168K ep:187 epch:3.74 loss:0.099 grdn:9.490 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 120 |
+
INFO 2025-08-27 19:43:42 ts/train.py:232 step:21K smpl:170K ep:189 epch:3.77 loss:0.098 grdn:9.734 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 121 |
+
INFO 2025-08-27 19:44:38 ts/train.py:232 step:21K smpl:171K ep:190 epch:3.81 loss:0.096 grdn:9.528 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 122 |
+
INFO 2025-08-27 19:45:35 ts/train.py:232 step:22K smpl:173K ep:192 epch:3.84 loss:0.103 grdn:9.738 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 123 |
+
INFO 2025-08-27 19:46:31 ts/train.py:232 step:22K smpl:174K ep:194 epch:3.88 loss:0.097 grdn:9.313 lr:1.0e-05 updt_s:0.282 data_s:0.000
|
| 124 |
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INFO 2025-08-27 19:47:28 ts/train.py:232 step:22K smpl:176K ep:196 epch:3.92 loss:0.097 grdn:9.406 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:48:24 ts/train.py:232 step:22K smpl:178K ep:198 epch:3.95 loss:0.102 grdn:9.656 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:49:21 ts/train.py:232 step:22K smpl:179K ep:199 epch:3.99 loss:0.092 grdn:9.234 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:50:18 ts/train.py:232 step:23K smpl:181K ep:201 epch:4.02 loss:0.097 grdn:9.093 lr:1.0e-05 updt_s:0.281 data_s:0.002
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INFO 2025-08-27 19:51:14 ts/train.py:232 step:23K smpl:182K ep:203 epch:4.06 loss:0.095 grdn:9.149 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:52:10 ts/train.py:232 step:23K smpl:184K ep:205 epch:4.09 loss:0.092 grdn:9.065 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 19:53:07 ts/train.py:232 step:23K smpl:186K ep:206 epch:4.13 loss:0.097 grdn:8.973 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:54:03 ts/train.py:232 step:23K smpl:187K ep:208 epch:4.16 loss:0.091 grdn:8.802 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:55:00 ts/train.py:232 step:24K smpl:189K ep:210 epch:4.20 loss:0.094 grdn:8.822 lr:1.0e-05 updt_s:0.281 data_s:0.000
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INFO 2025-08-27 19:55:56 ts/train.py:232 step:24K smpl:190K ep:212 epch:4.24 loss:0.095 grdn:9.238 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:56:52 ts/train.py:232 step:24K smpl:192K ep:214 epch:4.27 loss:0.092 grdn:8.896 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 19:57:49 ts/train.py:232 step:24K smpl:194K ep:215 epch:4.31 loss:0.092 grdn:8.649 lr:1.0e-05 updt_s:0.281 data_s:0.000
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| 136 |
+
INFO 2025-08-27 19:58:45 ts/train.py:232 step:24K smpl:195K ep:217 epch:4.34 loss:0.091 grdn:8.734 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 19:59:42 ts/train.py:232 step:25K smpl:197K ep:219 epch:4.38 loss:0.089 grdn:8.615 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 20:00:38 ts/train.py:232 step:25K smpl:198K ep:221 epch:4.41 loss:0.098 grdn:8.969 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 20:01:34 ts/train.py:232 step:25K smpl:200K ep:222 epch:4.45 loss:0.088 grdn:8.704 lr:1.0e-05 updt_s:0.282 data_s:0.000
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+
INFO 2025-08-27 20:02:31 ts/train.py:232 step:25K smpl:202K ep:224 epch:4.49 loss:0.091 grdn:8.738 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-27 20:03:27 ts/train.py:232 step:25K smpl:203K ep:226 epch:4.52 loss:0.092 grdn:9.035 lr:1.0e-05 updt_s:0.282 data_s:0.000
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+
INFO 2025-08-27 20:04:24 ts/train.py:232 step:26K smpl:205K ep:228 epch:4.56 loss:0.090 grdn:8.356 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 20:05:20 ts/train.py:232 step:26K smpl:206K ep:230 epch:4.59 loss:0.090 grdn:8.683 lr:1.0e-05 updt_s:0.281 data_s:0.000
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| 144 |
+
INFO 2025-08-27 20:06:16 ts/train.py:232 step:26K smpl:208K ep:231 epch:4.63 loss:0.090 grdn:8.536 lr:1.0e-05 updt_s:0.281 data_s:0.000
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+
INFO 2025-08-27 20:07:12 ts/train.py:232 step:26K smpl:210K ep:233 epch:4.66 loss:0.087 grdn:8.150 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 146 |
+
INFO 2025-08-27 20:08:08 ts/train.py:232 step:26K smpl:211K ep:235 epch:4.70 loss:0.090 grdn:8.424 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 147 |
+
INFO 2025-08-27 20:09:04 ts/train.py:232 step:27K smpl:213K ep:237 epch:4.73 loss:0.090 grdn:8.402 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 148 |
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INFO 2025-08-27 20:10:00 ts/train.py:232 step:27K smpl:214K ep:238 epch:4.77 loss:0.089 grdn:8.408 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 149 |
+
INFO 2025-08-27 20:10:56 ts/train.py:232 step:27K smpl:216K ep:240 epch:4.81 loss:0.087 grdn:7.985 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 150 |
+
INFO 2025-08-27 20:11:52 ts/train.py:232 step:27K smpl:218K ep:242 epch:4.84 loss:0.091 grdn:8.417 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 151 |
+
INFO 2025-08-27 20:12:48 ts/train.py:232 step:27K smpl:219K ep:244 epch:4.88 loss:0.086 grdn:7.964 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 152 |
+
INFO 2025-08-27 20:13:44 ts/train.py:232 step:28K smpl:221K ep:246 epch:4.91 loss:0.088 grdn:8.132 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 153 |
+
INFO 2025-08-27 20:14:40 ts/train.py:232 step:28K smpl:222K ep:247 epch:4.95 loss:0.086 grdn:8.159 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 154 |
+
INFO 2025-08-27 20:15:36 ts/train.py:232 step:28K smpl:224K ep:249 epch:4.98 loss:0.089 grdn:7.963 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 155 |
+
INFO 2025-08-27 20:16:32 ts/train.py:232 step:28K smpl:226K ep:251 epch:5.02 loss:0.083 grdn:8.173 lr:1.0e-05 updt_s:0.279 data_s:0.001
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| 156 |
+
INFO 2025-08-27 20:17:28 ts/train.py:232 step:28K smpl:227K ep:253 epch:5.05 loss:0.086 grdn:7.901 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 157 |
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INFO 2025-08-27 20:18:24 ts/train.py:232 step:29K smpl:229K ep:255 epch:5.09 loss:0.082 grdn:7.963 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 158 |
+
INFO 2025-08-27 20:19:20 ts/train.py:232 step:29K smpl:230K ep:256 epch:5.13 loss:0.085 grdn:7.551 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:20:16 ts/train.py:232 step:29K smpl:232K ep:258 epch:5.16 loss:0.083 grdn:7.935 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:21:13 ts/train.py:232 step:29K smpl:234K ep:260 epch:5.20 loss:0.081 grdn:7.684 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:22:09 ts/train.py:232 step:29K smpl:235K ep:262 epch:5.23 loss:0.083 grdn:7.507 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:23:05 ts/train.py:232 step:30K smpl:237K ep:263 epch:5.27 loss:0.084 grdn:7.516 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:24:01 ts/train.py:232 step:30K smpl:238K ep:265 epch:5.30 loss:0.080 grdn:7.629 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:24:57 ts/train.py:232 step:30K smpl:240K ep:267 epch:5.34 loss:0.082 grdn:7.521 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:25:53 ts/train.py:232 step:30K smpl:242K ep:269 epch:5.37 loss:0.084 grdn:7.923 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:26:49 ts/train.py:232 step:30K smpl:243K ep:271 epch:5.41 loss:0.079 grdn:7.537 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:27:45 ts/train.py:232 step:31K smpl:245K ep:272 epch:5.45 loss:0.081 grdn:7.408 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:28:41 ts/train.py:232 step:31K smpl:246K ep:274 epch:5.48 loss:0.084 grdn:7.868 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:29:37 ts/train.py:232 step:31K smpl:248K ep:276 epch:5.52 loss:0.085 grdn:7.820 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:30:33 ts/train.py:232 step:31K smpl:250K ep:278 epch:5.55 loss:0.082 grdn:7.441 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:31:29 ts/train.py:232 step:31K smpl:251K ep:279 epch:5.59 loss:0.082 grdn:7.635 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:32:25 ts/train.py:232 step:32K smpl:253K ep:281 epch:5.62 loss:0.083 grdn:7.523 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:33:21 ts/train.py:232 step:32K smpl:254K ep:283 epch:5.66 loss:0.085 grdn:7.488 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:34:17 ts/train.py:232 step:32K smpl:256K ep:285 epch:5.70 loss:0.082 grdn:7.637 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 175 |
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INFO 2025-08-27 20:35:13 ts/train.py:232 step:32K smpl:258K ep:287 epch:5.73 loss:0.080 grdn:7.688 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:36:09 ts/train.py:232 step:32K smpl:259K ep:288 epch:5.77 loss:0.077 grdn:7.066 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:37:05 ts/train.py:232 step:33K smpl:261K ep:290 epch:5.80 loss:0.079 grdn:7.155 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:38:01 ts/train.py:232 step:33K smpl:262K ep:292 epch:5.84 loss:0.082 grdn:7.256 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:38:57 ts/train.py:232 step:33K smpl:264K ep:294 epch:5.87 loss:0.082 grdn:7.608 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:39:53 ts/train.py:232 step:33K smpl:266K ep:295 epch:5.91 loss:0.080 grdn:7.206 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:40:49 ts/train.py:232 step:33K smpl:267K ep:297 epch:5.94 loss:0.076 grdn:7.017 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:41:45 ts/train.py:232 step:34K smpl:269K ep:299 epch:5.98 loss:0.080 grdn:7.355 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:42:41 ts/train.py:232 step:34K smpl:270K ep:301 epch:6.02 loss:0.079 grdn:7.137 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 20:43:37 ts/train.py:232 step:34K smpl:272K ep:303 epch:6.05 loss:0.077 grdn:6.986 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:44:33 ts/train.py:232 step:34K smpl:274K ep:304 epch:6.09 loss:0.076 grdn:7.067 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:45:29 ts/train.py:232 step:34K smpl:275K ep:306 epch:6.12 loss:0.075 grdn:6.917 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:46:25 ts/train.py:232 step:35K smpl:277K ep:308 epch:6.16 loss:0.080 grdn:7.406 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:47:21 ts/train.py:232 step:35K smpl:278K ep:310 epch:6.19 loss:0.077 grdn:6.909 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:48:17 ts/train.py:232 step:35K smpl:280K ep:311 epch:6.23 loss:0.079 grdn:6.979 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 190 |
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INFO 2025-08-27 20:49:13 ts/train.py:232 step:35K smpl:282K ep:313 epch:6.26 loss:0.075 grdn:7.036 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:50:09 ts/train.py:232 step:35K smpl:283K ep:315 epch:6.30 loss:0.078 grdn:6.615 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:51:05 ts/train.py:232 step:36K smpl:285K ep:317 epch:6.34 loss:0.075 grdn:6.869 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:52:01 ts/train.py:232 step:36K smpl:286K ep:319 epch:6.37 loss:0.074 grdn:6.896 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:52:57 ts/train.py:232 step:36K smpl:288K ep:320 epch:6.41 loss:0.078 grdn:6.968 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:53:53 ts/train.py:232 step:36K smpl:290K ep:322 epch:6.44 loss:0.072 grdn:6.634 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:54:49 ts/train.py:232 step:36K smpl:291K ep:324 epch:6.48 loss:0.072 grdn:6.923 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:55:45 ts/train.py:232 step:37K smpl:293K ep:326 epch:6.51 loss:0.075 grdn:6.531 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:56:41 ts/train.py:232 step:37K smpl:294K ep:327 epch:6.55 loss:0.075 grdn:6.861 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:57:37 ts/train.py:232 step:37K smpl:296K ep:329 epch:6.59 loss:0.076 grdn:6.632 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:58:33 ts/train.py:232 step:37K smpl:298K ep:331 epch:6.62 loss:0.076 grdn:6.900 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 20:59:29 ts/train.py:232 step:37K smpl:299K ep:333 epch:6.66 loss:0.077 grdn:6.816 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:00:26 ts/train.py:232 step:38K smpl:301K ep:335 epch:6.69 loss:0.079 grdn:6.769 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:01:22 ts/train.py:232 step:38K smpl:302K ep:336 epch:6.73 loss:0.077 grdn:6.839 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:02:18 ts/train.py:232 step:38K smpl:304K ep:338 epch:6.76 loss:0.076 grdn:6.774 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:03:14 ts/train.py:232 step:38K smpl:306K ep:340 epch:6.80 loss:0.073 grdn:6.475 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:04:10 ts/train.py:232 step:38K smpl:307K ep:342 epch:6.83 loss:0.079 grdn:6.741 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:05:06 ts/train.py:232 step:39K smpl:309K ep:344 epch:6.87 loss:0.072 grdn:6.474 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:06:02 ts/train.py:232 step:39K smpl:310K ep:345 epch:6.91 loss:0.074 grdn:6.529 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:06:58 ts/train.py:232 step:39K smpl:312K ep:347 epch:6.94 loss:0.078 grdn:6.772 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:07:54 ts/train.py:232 step:39K smpl:314K ep:349 epch:6.98 loss:0.076 grdn:6.588 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:08:50 ts/train.py:232 step:39K smpl:315K ep:351 epch:7.01 loss:0.073 grdn:6.587 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 21:09:46 ts/train.py:232 step:40K smpl:317K ep:352 epch:7.05 loss:0.070 grdn:6.468 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:10:42 ts/train.py:232 step:40K smpl:318K ep:354 epch:7.08 loss:0.074 grdn:6.161 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:11:38 ts/train.py:232 step:40K smpl:320K ep:356 epch:7.12 loss:0.073 grdn:6.266 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:11:38 ts/train.py:241 Checkpoint policy after step 40000
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INFO 2025-08-27 21:12:35 ts/train.py:232 step:40K smpl:322K ep:358 epch:7.15 loss:0.072 grdn:6.566 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:13:31 ts/train.py:232 step:40K smpl:323K ep:360 epch:7.19 loss:0.069 grdn:6.240 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:14:27 ts/train.py:232 step:41K smpl:325K ep:361 epch:7.23 loss:0.074 grdn:6.332 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:15:23 ts/train.py:232 step:41K smpl:326K ep:363 epch:7.26 loss:0.069 grdn:6.276 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:16:19 ts/train.py:232 step:41K smpl:328K ep:365 epch:7.30 loss:0.074 grdn:6.492 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:17:15 ts/train.py:232 step:41K smpl:330K ep:367 epch:7.33 loss:0.069 grdn:6.407 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:18:11 ts/train.py:232 step:41K smpl:331K ep:368 epch:7.37 loss:0.074 grdn:6.551 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:19:07 ts/train.py:232 step:42K smpl:333K ep:370 epch:7.40 loss:0.072 grdn:6.439 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:20:03 ts/train.py:232 step:42K smpl:334K ep:372 epch:7.44 loss:0.068 grdn:5.772 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:21:00 ts/train.py:232 step:42K smpl:336K ep:374 epch:7.48 loss:0.073 grdn:6.009 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:21:56 ts/train.py:232 step:42K smpl:338K ep:376 epch:7.51 loss:0.074 grdn:6.596 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:22:52 ts/train.py:232 step:42K smpl:339K ep:377 epch:7.55 loss:0.066 grdn:6.104 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:23:48 ts/train.py:232 step:43K smpl:341K ep:379 epch:7.58 loss:0.072 grdn:6.477 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:24:44 ts/train.py:232 step:43K smpl:342K ep:381 epch:7.62 loss:0.072 grdn:6.425 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:25:40 ts/train.py:232 step:43K smpl:344K ep:383 epch:7.65 loss:0.071 grdn:6.054 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:26:36 ts/train.py:232 step:43K smpl:346K ep:384 epch:7.69 loss:0.077 grdn:6.388 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:27:32 ts/train.py:232 step:43K smpl:347K ep:386 epch:7.72 loss:0.075 grdn:6.473 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:28:28 ts/train.py:232 step:44K smpl:349K ep:388 epch:7.76 loss:0.068 grdn:6.175 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:29:24 ts/train.py:232 step:44K smpl:350K ep:390 epch:7.80 loss:0.066 grdn:5.884 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:30:20 ts/train.py:232 step:44K smpl:352K ep:392 epch:7.83 loss:0.069 grdn:5.799 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:31:16 ts/train.py:232 step:44K smpl:354K ep:393 epch:7.87 loss:0.068 grdn:6.151 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:32:12 ts/train.py:232 step:44K smpl:355K ep:395 epch:7.90 loss:0.068 grdn:6.042 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:33:08 ts/train.py:232 step:45K smpl:357K ep:397 epch:7.94 loss:0.076 grdn:6.148 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:34:04 ts/train.py:232 step:45K smpl:358K ep:399 epch:7.97 loss:0.069 grdn:5.874 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:35:00 ts/train.py:232 step:45K smpl:360K ep:400 epch:8.01 loss:0.065 grdn:5.973 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 21:35:56 ts/train.py:232 step:45K smpl:362K ep:402 epch:8.04 loss:0.069 grdn:6.030 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:36:52 ts/train.py:232 step:45K smpl:363K ep:404 epch:8.08 loss:0.069 grdn:5.764 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:37:48 ts/train.py:232 step:46K smpl:365K ep:406 epch:8.12 loss:0.066 grdn:5.639 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:38:44 ts/train.py:232 step:46K smpl:366K ep:408 epch:8.15 loss:0.068 grdn:5.852 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:39:40 ts/train.py:232 step:46K smpl:368K ep:409 epch:8.19 loss:0.069 grdn:6.197 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:40:36 ts/train.py:232 step:46K smpl:370K ep:411 epch:8.22 loss:0.069 grdn:5.867 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:41:32 ts/train.py:232 step:46K smpl:371K ep:413 epch:8.26 loss:0.066 grdn:5.737 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:42:28 ts/train.py:232 step:47K smpl:373K ep:415 epch:8.29 loss:0.067 grdn:5.723 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:43:24 ts/train.py:232 step:47K smpl:374K ep:416 epch:8.33 loss:0.065 grdn:5.887 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:44:20 ts/train.py:232 step:47K smpl:376K ep:418 epch:8.37 loss:0.067 grdn:5.815 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:45:16 ts/train.py:232 step:47K smpl:378K ep:420 epch:8.40 loss:0.065 grdn:5.775 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:46:12 ts/train.py:232 step:47K smpl:379K ep:422 epch:8.44 loss:0.066 grdn:5.958 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:47:08 ts/train.py:232 step:48K smpl:381K ep:424 epch:8.47 loss:0.066 grdn:6.017 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:48:04 ts/train.py:232 step:48K smpl:382K ep:425 epch:8.51 loss:0.067 grdn:5.679 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:49:00 ts/train.py:232 step:48K smpl:384K ep:427 epch:8.54 loss:0.064 grdn:5.665 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:49:56 ts/train.py:232 step:48K smpl:386K ep:429 epch:8.58 loss:0.067 grdn:5.676 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:50:52 ts/train.py:232 step:48K smpl:387K ep:431 epch:8.61 loss:0.066 grdn:5.686 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:51:48 ts/train.py:232 step:49K smpl:389K ep:432 epch:8.65 loss:0.072 grdn:5.875 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:52:44 ts/train.py:232 step:49K smpl:390K ep:434 epch:8.69 loss:0.072 grdn:5.961 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:53:40 ts/train.py:232 step:49K smpl:392K ep:436 epch:8.72 loss:0.064 grdn:5.760 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:54:36 ts/train.py:232 step:49K smpl:394K ep:438 epch:8.76 loss:0.067 grdn:5.802 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:55:32 ts/train.py:232 step:49K smpl:395K ep:440 epch:8.79 loss:0.066 grdn:5.650 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:56:28 ts/train.py:232 step:50K smpl:397K ep:441 epch:8.83 loss:0.066 grdn:5.772 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:57:24 ts/train.py:232 step:50K smpl:398K ep:443 epch:8.86 loss:0.065 grdn:5.779 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:58:20 ts/train.py:232 step:50K smpl:400K ep:445 epch:8.90 loss:0.067 grdn:5.635 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 21:59:16 ts/train.py:232 step:50K smpl:402K ep:447 epch:8.93 loss:0.064 grdn:5.383 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:00:12 ts/train.py:232 step:50K smpl:403K ep:449 epch:8.97 loss:0.069 grdn:5.570 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:01:09 ts/train.py:232 step:51K smpl:405K ep:450 epch:9.01 loss:0.064 grdn:5.846 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 22:02:05 ts/train.py:232 step:51K smpl:406K ep:452 epch:9.04 loss:0.064 grdn:5.559 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:03:01 ts/train.py:232 step:51K smpl:408K ep:454 epch:9.08 loss:0.068 grdn:5.755 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:03:57 ts/train.py:232 step:51K smpl:410K ep:456 epch:9.11 loss:0.065 grdn:5.265 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:04:53 ts/train.py:232 step:51K smpl:411K ep:457 epch:9.15 loss:0.064 grdn:5.387 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:05:49 ts/train.py:232 step:52K smpl:413K ep:459 epch:9.18 loss:0.063 grdn:5.219 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:06:45 ts/train.py:232 step:52K smpl:414K ep:461 epch:9.22 loss:0.066 grdn:5.535 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:07:41 ts/train.py:232 step:52K smpl:416K ep:463 epch:9.25 loss:0.064 grdn:5.340 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:08:37 ts/train.py:232 step:52K smpl:418K ep:465 epch:9.29 loss:0.063 grdn:5.500 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:09:33 ts/train.py:232 step:52K smpl:419K ep:466 epch:9.33 loss:0.066 grdn:5.416 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:10:29 ts/train.py:232 step:53K smpl:421K ep:468 epch:9.36 loss:0.063 grdn:5.531 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:11:25 ts/train.py:232 step:53K smpl:422K ep:470 epch:9.40 loss:0.062 grdn:5.470 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:12:21 ts/train.py:232 step:53K smpl:424K ep:472 epch:9.43 loss:0.062 grdn:5.366 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:13:17 ts/train.py:232 step:53K smpl:426K ep:473 epch:9.47 loss:0.065 grdn:5.383 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:14:13 ts/train.py:232 step:53K smpl:427K ep:475 epch:9.50 loss:0.062 grdn:5.444 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:15:09 ts/train.py:232 step:54K smpl:429K ep:477 epch:9.54 loss:0.061 grdn:5.302 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:16:05 ts/train.py:232 step:54K smpl:430K ep:479 epch:9.58 loss:0.064 grdn:5.552 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:17:01 ts/train.py:232 step:54K smpl:432K ep:481 epch:9.61 loss:0.062 grdn:5.412 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:17:57 ts/train.py:232 step:54K smpl:434K ep:482 epch:9.65 loss:0.064 grdn:5.379 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:18:53 ts/train.py:232 step:54K smpl:435K ep:484 epch:9.68 loss:0.060 grdn:5.296 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:19:49 ts/train.py:232 step:55K smpl:437K ep:486 epch:9.72 loss:0.063 grdn:5.329 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:20:45 ts/train.py:232 step:55K smpl:438K ep:488 epch:9.75 loss:0.062 grdn:5.199 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:21:41 ts/train.py:232 step:55K smpl:440K ep:489 epch:9.79 loss:0.064 grdn:5.327 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:22:37 ts/train.py:232 step:55K smpl:442K ep:491 epch:9.82 loss:0.064 grdn:5.346 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:23:33 ts/train.py:232 step:55K smpl:443K ep:493 epch:9.86 loss:0.063 grdn:5.240 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:24:29 ts/train.py:232 step:56K smpl:445K ep:495 epch:9.90 loss:0.061 grdn:5.130 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:25:25 ts/train.py:232 step:56K smpl:446K ep:497 epch:9.93 loss:0.063 grdn:5.331 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:26:21 ts/train.py:232 step:56K smpl:448K ep:498 epch:9.97 loss:0.059 grdn:5.135 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:27:17 ts/train.py:232 step:56K smpl:450K ep:500 epch:10.00 loss:0.063 grdn:5.333 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 22:28:13 ts/train.py:232 step:56K smpl:451K ep:502 epch:10.04 loss:0.061 grdn:5.359 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:29:09 ts/train.py:232 step:57K smpl:453K ep:504 epch:10.07 loss:0.062 grdn:5.267 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:30:05 ts/train.py:232 step:57K smpl:454K ep:505 epch:10.11 loss:0.063 grdn:5.344 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:31:01 ts/train.py:232 step:57K smpl:456K ep:507 epch:10.14 loss:0.060 grdn:5.182 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:31:57 ts/train.py:232 step:57K smpl:458K ep:509 epch:10.18 loss:0.059 grdn:5.169 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:32:53 ts/train.py:232 step:57K smpl:459K ep:511 epch:10.22 loss:0.061 grdn:5.200 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:33:49 ts/train.py:232 step:58K smpl:461K ep:513 epch:10.25 loss:0.059 grdn:5.158 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:34:46 ts/train.py:232 step:58K smpl:462K ep:514 epch:10.29 loss:0.058 grdn:4.958 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:35:42 ts/train.py:232 step:58K smpl:464K ep:516 epch:10.32 loss:0.061 grdn:5.407 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:36:38 ts/train.py:232 step:58K smpl:466K ep:518 epch:10.36 loss:0.064 grdn:5.059 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:37:34 ts/train.py:232 step:58K smpl:467K ep:520 epch:10.39 loss:0.060 grdn:5.188 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:38:30 ts/train.py:232 step:59K smpl:469K ep:521 epch:10.43 loss:0.060 grdn:5.141 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:39:26 ts/train.py:232 step:59K smpl:470K ep:523 epch:10.47 loss:0.057 grdn:5.109 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:40:22 ts/train.py:232 step:59K smpl:472K ep:525 epch:10.50 loss:0.058 grdn:5.060 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:41:18 ts/train.py:232 step:59K smpl:474K ep:527 epch:10.54 loss:0.061 grdn:5.157 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:42:14 ts/train.py:232 step:59K smpl:475K ep:529 epch:10.57 loss:0.063 grdn:5.240 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:43:10 ts/train.py:232 step:60K smpl:477K ep:530 epch:10.61 loss:0.060 grdn:5.084 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:44:06 ts/train.py:232 step:60K smpl:478K ep:532 epch:10.64 loss:0.060 grdn:4.989 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:45:02 ts/train.py:232 step:60K smpl:480K ep:534 epch:10.68 loss:0.060 grdn:5.109 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:45:02 ts/train.py:241 Checkpoint policy after step 60000
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INFO 2025-08-27 22:45:59 ts/train.py:232 step:60K smpl:482K ep:536 epch:10.71 loss:0.063 grdn:5.062 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:46:55 ts/train.py:232 step:60K smpl:483K ep:537 epch:10.75 loss:0.061 grdn:5.199 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:47:51 ts/train.py:232 step:61K smpl:485K ep:539 epch:10.79 loss:0.058 grdn:5.054 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:48:47 ts/train.py:232 step:61K smpl:486K ep:541 epch:10.82 loss:0.062 grdn:5.312 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:49:43 ts/train.py:232 step:61K smpl:488K ep:543 epch:10.86 loss:0.059 grdn:4.995 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:50:39 ts/train.py:232 step:61K smpl:490K ep:545 epch:10.89 loss:0.057 grdn:4.806 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:51:35 ts/train.py:232 step:61K smpl:491K ep:546 epch:10.93 loss:0.056 grdn:4.820 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:52:31 ts/train.py:232 step:62K smpl:493K ep:548 epch:10.96 loss:0.058 grdn:5.181 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:53:27 ts/train.py:232 step:62K smpl:494K ep:550 epch:11.00 loss:0.063 grdn:5.047 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:54:23 ts/train.py:232 step:62K smpl:496K ep:552 epch:11.03 loss:0.059 grdn:4.871 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 22:55:20 ts/train.py:232 step:62K smpl:498K ep:554 epch:11.07 loss:0.060 grdn:5.158 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:56:16 ts/train.py:232 step:62K smpl:499K ep:555 epch:11.11 loss:0.057 grdn:5.063 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:57:12 ts/train.py:232 step:63K smpl:501K ep:557 epch:11.14 loss:0.059 grdn:4.964 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:58:08 ts/train.py:232 step:63K smpl:502K ep:559 epch:11.18 loss:0.059 grdn:4.951 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 22:59:04 ts/train.py:232 step:63K smpl:504K ep:561 epch:11.21 loss:0.055 grdn:4.825 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:00:00 ts/train.py:232 step:63K smpl:506K ep:562 epch:11.25 loss:0.060 grdn:4.866 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:00:56 ts/train.py:232 step:63K smpl:507K ep:564 epch:11.28 loss:0.060 grdn:5.049 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:01:52 ts/train.py:232 step:64K smpl:509K ep:566 epch:11.32 loss:0.057 grdn:4.772 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:02:48 ts/train.py:232 step:64K smpl:510K ep:568 epch:11.36 loss:0.059 grdn:4.873 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:03:44 ts/train.py:232 step:64K smpl:512K ep:570 epch:11.39 loss:0.059 grdn:5.009 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:04:40 ts/train.py:232 step:64K smpl:514K ep:571 epch:11.43 loss:0.057 grdn:4.987 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:05:36 ts/train.py:232 step:64K smpl:515K ep:573 epch:11.46 loss:0.056 grdn:4.910 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:06:32 ts/train.py:232 step:65K smpl:517K ep:575 epch:11.50 loss:0.056 grdn:4.959 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:07:28 ts/train.py:232 step:65K smpl:518K ep:577 epch:11.53 loss:0.059 grdn:4.923 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:08:24 ts/train.py:232 step:65K smpl:520K ep:578 epch:11.57 loss:0.058 grdn:4.811 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:09:20 ts/train.py:232 step:65K smpl:522K ep:580 epch:11.60 loss:0.057 grdn:5.043 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:10:16 ts/train.py:232 step:65K smpl:523K ep:582 epch:11.64 loss:0.057 grdn:4.555 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:11:12 ts/train.py:232 step:66K smpl:525K ep:584 epch:11.68 loss:0.055 grdn:4.921 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:12:08 ts/train.py:232 step:66K smpl:526K ep:586 epch:11.71 loss:0.056 grdn:4.769 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:13:04 ts/train.py:232 step:66K smpl:528K ep:587 epch:11.75 loss:0.061 grdn:4.814 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:14:00 ts/train.py:232 step:66K smpl:530K ep:589 epch:11.78 loss:0.059 grdn:4.788 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:14:56 ts/train.py:232 step:66K smpl:531K ep:591 epch:11.82 loss:0.058 grdn:4.871 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:15:52 ts/train.py:232 step:67K smpl:533K ep:593 epch:11.85 loss:0.055 grdn:4.765 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:16:48 ts/train.py:232 step:67K smpl:534K ep:594 epch:11.89 loss:0.055 grdn:4.559 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:17:44 ts/train.py:232 step:67K smpl:536K ep:596 epch:11.92 loss:0.058 grdn:5.017 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:18:40 ts/train.py:232 step:67K smpl:538K ep:598 epch:11.96 loss:0.056 grdn:4.843 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:19:36 ts/train.py:232 step:67K smpl:539K ep:600 epch:12.00 loss:0.054 grdn:4.565 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:20:32 ts/train.py:232 step:68K smpl:541K ep:602 epch:12.03 loss:0.056 grdn:4.644 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 23:21:28 ts/train.py:232 step:68K smpl:542K ep:603 epch:12.07 loss:0.057 grdn:4.632 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:22:24 ts/train.py:232 step:68K smpl:544K ep:605 epch:12.10 loss:0.054 grdn:4.683 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:23:20 ts/train.py:232 step:68K smpl:546K ep:607 epch:12.14 loss:0.054 grdn:4.422 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:24:16 ts/train.py:232 step:68K smpl:547K ep:609 epch:12.17 loss:0.056 grdn:4.768 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:25:12 ts/train.py:232 step:69K smpl:549K ep:610 epch:12.21 loss:0.054 grdn:4.611 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:26:08 ts/train.py:232 step:69K smpl:550K ep:612 epch:12.24 loss:0.055 grdn:4.630 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:27:04 ts/train.py:232 step:69K smpl:552K ep:614 epch:12.28 loss:0.058 grdn:4.762 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:28:00 ts/train.py:232 step:69K smpl:554K ep:616 epch:12.32 loss:0.054 grdn:4.689 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:28:56 ts/train.py:232 step:69K smpl:555K ep:618 epch:12.35 loss:0.056 grdn:4.568 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:29:52 ts/train.py:232 step:70K smpl:557K ep:619 epch:12.39 loss:0.054 grdn:4.599 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:30:48 ts/train.py:232 step:70K smpl:558K ep:621 epch:12.42 loss:0.057 grdn:4.735 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:31:44 ts/train.py:232 step:70K smpl:560K ep:623 epch:12.46 loss:0.055 grdn:4.781 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:32:40 ts/train.py:232 step:70K smpl:562K ep:625 epch:12.49 loss:0.053 grdn:4.614 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:33:36 ts/train.py:232 step:70K smpl:563K ep:626 epch:12.53 loss:0.054 grdn:4.484 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:34:32 ts/train.py:232 step:71K smpl:565K ep:628 epch:12.57 loss:0.058 grdn:4.596 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 370 |
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INFO 2025-08-27 23:35:28 ts/train.py:232 step:71K smpl:566K ep:630 epch:12.60 loss:0.054 grdn:4.397 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:36:25 ts/train.py:232 step:71K smpl:568K ep:632 epch:12.64 loss:0.053 grdn:4.497 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:37:21 ts/train.py:232 step:71K smpl:570K ep:634 epch:12.67 loss:0.056 grdn:4.739 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:38:17 ts/train.py:232 step:71K smpl:571K ep:635 epch:12.71 loss:0.055 grdn:4.525 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:39:13 ts/train.py:232 step:72K smpl:573K ep:637 epch:12.74 loss:0.054 grdn:4.573 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:40:09 ts/train.py:232 step:72K smpl:574K ep:639 epch:12.78 loss:0.056 grdn:4.679 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:41:05 ts/train.py:232 step:72K smpl:576K ep:641 epch:12.81 loss:0.055 grdn:4.479 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 377 |
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INFO 2025-08-27 23:42:01 ts/train.py:232 step:72K smpl:578K ep:643 epch:12.85 loss:0.054 grdn:4.615 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 378 |
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INFO 2025-08-27 23:42:57 ts/train.py:232 step:72K smpl:579K ep:644 epch:12.89 loss:0.053 grdn:4.343 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:43:53 ts/train.py:232 step:73K smpl:581K ep:646 epch:12.92 loss:0.053 grdn:4.515 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:44:49 ts/train.py:232 step:73K smpl:582K ep:648 epch:12.96 loss:0.053 grdn:4.522 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:45:45 ts/train.py:232 step:73K smpl:584K ep:650 epch:12.99 loss:0.055 grdn:4.508 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:46:41 ts/train.py:232 step:73K smpl:586K ep:651 epch:13.03 loss:0.051 grdn:4.366 lr:1.0e-05 updt_s:0.279 data_s:0.001
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INFO 2025-08-27 23:47:37 ts/train.py:232 step:73K smpl:587K ep:653 epch:13.06 loss:0.052 grdn:4.703 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:48:33 ts/train.py:232 step:74K smpl:589K ep:655 epch:13.10 loss:0.053 grdn:4.565 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:49:29 ts/train.py:232 step:74K smpl:590K ep:657 epch:13.13 loss:0.054 grdn:4.453 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:50:25 ts/train.py:232 step:74K smpl:592K ep:659 epch:13.17 loss:0.056 grdn:4.621 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 387 |
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INFO 2025-08-27 23:51:21 ts/train.py:232 step:74K smpl:594K ep:660 epch:13.21 loss:0.056 grdn:4.468 lr:1.0e-05 updt_s:0.281 data_s:0.000
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INFO 2025-08-27 23:52:17 ts/train.py:232 step:74K smpl:595K ep:662 epch:13.24 loss:0.053 grdn:4.317 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:53:13 ts/train.py:232 step:75K smpl:597K ep:664 epch:13.28 loss:0.052 grdn:4.591 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:54:09 ts/train.py:232 step:75K smpl:598K ep:666 epch:13.31 loss:0.053 grdn:4.404 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:55:05 ts/train.py:232 step:75K smpl:600K ep:667 epch:13.35 loss:0.055 grdn:4.644 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:56:01 ts/train.py:232 step:75K smpl:602K ep:669 epch:13.38 loss:0.056 grdn:4.437 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:56:57 ts/train.py:232 step:75K smpl:603K ep:671 epch:13.42 loss:0.050 grdn:4.502 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:57:53 ts/train.py:232 step:76K smpl:605K ep:673 epch:13.46 loss:0.054 grdn:4.470 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:58:49 ts/train.py:232 step:76K smpl:606K ep:675 epch:13.49 loss:0.050 grdn:4.389 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-27 23:59:45 ts/train.py:232 step:76K smpl:608K ep:676 epch:13.53 loss:0.053 grdn:4.472 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:00:41 ts/train.py:232 step:76K smpl:610K ep:678 epch:13.56 loss:0.052 grdn:4.355 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:01:37 ts/train.py:232 step:76K smpl:611K ep:680 epch:13.60 loss:0.053 grdn:4.478 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:02:33 ts/train.py:232 step:77K smpl:613K ep:682 epch:13.63 loss:0.053 grdn:4.400 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:03:29 ts/train.py:232 step:77K smpl:614K ep:683 epch:13.67 loss:0.054 grdn:4.512 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:04:25 ts/train.py:232 step:77K smpl:616K ep:685 epch:13.70 loss:0.051 grdn:4.462 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:05:21 ts/train.py:232 step:77K smpl:618K ep:687 epch:13.74 loss:0.051 grdn:4.351 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:06:18 ts/train.py:232 step:77K smpl:619K ep:689 epch:13.78 loss:0.050 grdn:4.415 lr:1.0e-05 updt_s:0.282 data_s:0.000
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INFO 2025-08-28 00:07:14 ts/train.py:232 step:78K smpl:621K ep:691 epch:13.81 loss:0.050 grdn:4.289 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:08:10 ts/train.py:232 step:78K smpl:622K ep:692 epch:13.85 loss:0.057 grdn:4.375 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:09:06 ts/train.py:232 step:78K smpl:624K ep:694 epch:13.88 loss:0.052 grdn:4.436 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:10:02 ts/train.py:232 step:78K smpl:626K ep:696 epch:13.92 loss:0.054 grdn:4.419 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:10:58 ts/train.py:232 step:78K smpl:627K ep:698 epch:13.95 loss:0.048 grdn:4.296 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 409 |
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INFO 2025-08-28 00:11:54 ts/train.py:232 step:79K smpl:629K ep:699 epch:13.99 loss:0.053 grdn:4.433 lr:1.0e-05 updt_s:0.280 data_s:0.000
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INFO 2025-08-28 00:12:50 ts/train.py:232 step:79K smpl:630K ep:701 epch:14.02 loss:0.052 grdn:4.281 lr:1.0e-05 updt_s:0.279 data_s:0.002
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INFO 2025-08-28 00:13:46 ts/train.py:232 step:79K smpl:632K ep:703 epch:14.06 loss:0.054 grdn:4.426 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 412 |
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INFO 2025-08-28 00:14:42 ts/train.py:232 step:79K smpl:634K ep:705 epch:14.10 loss:0.050 grdn:4.061 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 413 |
+
INFO 2025-08-28 00:15:38 ts/train.py:232 step:79K smpl:635K ep:707 epch:14.13 loss:0.051 grdn:4.322 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 414 |
+
INFO 2025-08-28 00:16:34 ts/train.py:232 step:80K smpl:637K ep:708 epch:14.17 loss:0.049 grdn:4.204 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 415 |
+
INFO 2025-08-28 00:17:30 ts/train.py:232 step:80K smpl:638K ep:710 epch:14.20 loss:0.052 grdn:4.298 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 416 |
+
INFO 2025-08-28 00:18:26 ts/train.py:232 step:80K smpl:640K ep:712 epch:14.24 loss:0.050 grdn:4.321 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 417 |
+
INFO 2025-08-28 00:18:26 ts/train.py:241 Checkpoint policy after step 80000
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| 418 |
+
INFO 2025-08-28 00:19:28 ts/train.py:232 step:80K smpl:642K ep:714 epch:14.27 loss:0.051 grdn:4.288 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 419 |
+
INFO 2025-08-28 00:20:24 ts/train.py:232 step:80K smpl:643K ep:715 epch:14.31 loss:0.050 grdn:4.222 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 420 |
+
INFO 2025-08-28 00:21:22 ts/train.py:232 step:81K smpl:645K ep:717 epch:14.35 loss:0.050 grdn:4.195 lr:1.0e-05 updt_s:0.286 data_s:0.000
|
| 421 |
+
INFO 2025-08-28 00:22:18 ts/train.py:232 step:81K smpl:646K ep:719 epch:14.38 loss:0.050 grdn:4.344 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 422 |
+
INFO 2025-08-28 00:23:14 ts/train.py:232 step:81K smpl:648K ep:721 epch:14.42 loss:0.047 grdn:4.196 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 423 |
+
INFO 2025-08-28 00:24:10 ts/train.py:232 step:81K smpl:650K ep:723 epch:14.45 loss:0.053 grdn:4.423 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 424 |
+
INFO 2025-08-28 00:25:06 ts/train.py:232 step:81K smpl:651K ep:724 epch:14.49 loss:0.050 grdn:4.262 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 425 |
+
INFO 2025-08-28 00:26:02 ts/train.py:232 step:82K smpl:653K ep:726 epch:14.52 loss:0.052 grdn:4.279 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 426 |
+
INFO 2025-08-28 00:26:58 ts/train.py:232 step:82K smpl:654K ep:728 epch:14.56 loss:0.049 grdn:4.219 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 427 |
+
INFO 2025-08-28 00:27:54 ts/train.py:232 step:82K smpl:656K ep:730 epch:14.59 loss:0.050 grdn:4.349 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 428 |
+
INFO 2025-08-28 00:28:50 ts/train.py:232 step:82K smpl:658K ep:731 epch:14.63 loss:0.050 grdn:4.191 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 429 |
+
INFO 2025-08-28 00:29:46 ts/train.py:232 step:82K smpl:659K ep:733 epch:14.67 loss:0.049 grdn:4.217 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 430 |
+
INFO 2025-08-28 00:30:42 ts/train.py:232 step:83K smpl:661K ep:735 epch:14.70 loss:0.050 grdn:4.274 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 431 |
+
INFO 2025-08-28 00:31:38 ts/train.py:232 step:83K smpl:662K ep:737 epch:14.74 loss:0.048 grdn:4.321 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 432 |
+
INFO 2025-08-28 00:32:34 ts/train.py:232 step:83K smpl:664K ep:739 epch:14.77 loss:0.048 grdn:4.265 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 433 |
+
INFO 2025-08-28 00:33:30 ts/train.py:232 step:83K smpl:666K ep:740 epch:14.81 loss:0.051 grdn:4.225 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 434 |
+
INFO 2025-08-28 00:34:26 ts/train.py:232 step:83K smpl:667K ep:742 epch:14.84 loss:0.049 grdn:4.118 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 435 |
+
INFO 2025-08-28 00:35:22 ts/train.py:232 step:84K smpl:669K ep:744 epch:14.88 loss:0.053 grdn:4.265 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 436 |
+
INFO 2025-08-28 00:36:19 ts/train.py:232 step:84K smpl:670K ep:746 epch:14.91 loss:0.053 grdn:4.284 lr:1.0e-05 updt_s:0.286 data_s:0.000
|
| 437 |
+
INFO 2025-08-28 00:37:16 ts/train.py:232 step:84K smpl:672K ep:748 epch:14.95 loss:0.052 grdn:4.269 lr:1.0e-05 updt_s:0.281 data_s:0.000
|
| 438 |
+
INFO 2025-08-28 00:38:12 ts/train.py:232 step:84K smpl:674K ep:749 epch:14.99 loss:0.050 grdn:4.238 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 439 |
+
INFO 2025-08-28 00:39:08 ts/train.py:232 step:84K smpl:675K ep:751 epch:15.02 loss:0.048 grdn:4.165 lr:1.0e-05 updt_s:0.279 data_s:0.001
|
| 440 |
+
INFO 2025-08-28 00:40:04 ts/train.py:232 step:85K smpl:677K ep:753 epch:15.06 loss:0.046 grdn:3.859 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 441 |
+
INFO 2025-08-28 00:41:00 ts/train.py:232 step:85K smpl:678K ep:755 epch:15.09 loss:0.051 grdn:4.163 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 442 |
+
INFO 2025-08-28 00:41:56 ts/train.py:232 step:85K smpl:680K ep:756 epch:15.13 loss:0.048 grdn:4.109 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 443 |
+
INFO 2025-08-28 00:42:52 ts/train.py:232 step:85K smpl:682K ep:758 epch:15.16 loss:0.050 grdn:4.269 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 444 |
+
INFO 2025-08-28 00:43:48 ts/train.py:232 step:85K smpl:683K ep:760 epch:15.20 loss:0.049 grdn:4.012 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 445 |
+
INFO 2025-08-28 00:44:44 ts/train.py:232 step:86K smpl:685K ep:762 epch:15.24 loss:0.050 grdn:4.239 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 446 |
+
INFO 2025-08-28 00:45:40 ts/train.py:232 step:86K smpl:686K ep:764 epch:15.27 loss:0.050 grdn:4.389 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 447 |
+
INFO 2025-08-28 00:46:36 ts/train.py:232 step:86K smpl:688K ep:765 epch:15.31 loss:0.048 grdn:4.183 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 448 |
+
INFO 2025-08-28 00:47:32 ts/train.py:232 step:86K smpl:690K ep:767 epch:15.34 loss:0.049 grdn:4.040 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 449 |
+
INFO 2025-08-28 00:48:28 ts/train.py:232 step:86K smpl:691K ep:769 epch:15.38 loss:0.047 grdn:4.054 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 450 |
+
INFO 2025-08-28 00:49:24 ts/train.py:232 step:87K smpl:693K ep:771 epch:15.41 loss:0.048 grdn:4.141 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 451 |
+
INFO 2025-08-28 00:50:20 ts/train.py:232 step:87K smpl:694K ep:772 epch:15.45 loss:0.050 grdn:4.170 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 452 |
+
INFO 2025-08-28 00:51:17 ts/train.py:232 step:87K smpl:696K ep:774 epch:15.48 loss:0.048 grdn:4.037 lr:1.0e-05 updt_s:0.285 data_s:0.000
|
| 453 |
+
INFO 2025-08-28 00:52:14 ts/train.py:232 step:87K smpl:698K ep:776 epch:15.52 loss:0.047 grdn:4.163 lr:1.0e-05 updt_s:0.283 data_s:0.000
|
| 454 |
+
INFO 2025-08-28 00:53:10 ts/train.py:232 step:87K smpl:699K ep:778 epch:15.56 loss:0.048 grdn:3.911 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 455 |
+
INFO 2025-08-28 00:54:06 ts/train.py:232 step:88K smpl:701K ep:780 epch:15.59 loss:0.048 grdn:4.014 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 456 |
+
INFO 2025-08-28 00:55:02 ts/train.py:232 step:88K smpl:702K ep:781 epch:15.63 loss:0.049 grdn:4.129 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 457 |
+
INFO 2025-08-28 00:55:58 ts/train.py:232 step:88K smpl:704K ep:783 epch:15.66 loss:0.047 grdn:4.054 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 458 |
+
INFO 2025-08-28 00:56:54 ts/train.py:232 step:88K smpl:706K ep:785 epch:15.70 loss:0.052 grdn:4.324 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 459 |
+
INFO 2025-08-28 00:57:50 ts/train.py:232 step:88K smpl:707K ep:787 epch:15.73 loss:0.051 grdn:3.974 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 460 |
+
INFO 2025-08-28 00:58:46 ts/train.py:232 step:89K smpl:709K ep:788 epch:15.77 loss:0.049 grdn:3.947 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 461 |
+
INFO 2025-08-28 00:59:42 ts/train.py:232 step:89K smpl:710K ep:790 epch:15.80 loss:0.049 grdn:4.102 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 462 |
+
INFO 2025-08-28 01:00:38 ts/train.py:232 step:89K smpl:712K ep:792 epch:15.84 loss:0.048 grdn:3.881 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 463 |
+
INFO 2025-08-28 01:01:34 ts/train.py:232 step:89K smpl:714K ep:794 epch:15.88 loss:0.048 grdn:3.975 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 464 |
+
INFO 2025-08-28 01:02:30 ts/train.py:232 step:89K smpl:715K ep:796 epch:15.91 loss:0.047 grdn:3.953 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 465 |
+
INFO 2025-08-28 01:03:26 ts/train.py:232 step:90K smpl:717K ep:797 epch:15.95 loss:0.048 grdn:4.216 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 466 |
+
INFO 2025-08-28 01:04:22 ts/train.py:232 step:90K smpl:718K ep:799 epch:15.98 loss:0.047 grdn:4.071 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 467 |
+
INFO 2025-08-28 01:05:18 ts/train.py:232 step:90K smpl:720K ep:801 epch:16.02 loss:0.050 grdn:4.086 lr:1.0e-05 updt_s:0.279 data_s:0.001
|
| 468 |
+
INFO 2025-08-28 01:06:14 ts/train.py:232 step:90K smpl:722K ep:803 epch:16.05 loss:0.047 grdn:3.938 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 469 |
+
INFO 2025-08-28 01:07:10 ts/train.py:232 step:90K smpl:723K ep:804 epch:16.09 loss:0.044 grdn:4.052 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 470 |
+
INFO 2025-08-28 01:08:06 ts/train.py:232 step:91K smpl:725K ep:806 epch:16.12 loss:0.048 grdn:3.964 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 471 |
+
INFO 2025-08-28 01:09:02 ts/train.py:232 step:91K smpl:726K ep:808 epch:16.16 loss:0.044 grdn:3.819 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 472 |
+
INFO 2025-08-28 01:09:58 ts/train.py:232 step:91K smpl:728K ep:810 epch:16.20 loss:0.047 grdn:3.997 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 473 |
+
INFO 2025-08-28 01:10:54 ts/train.py:232 step:91K smpl:730K ep:812 epch:16.23 loss:0.048 grdn:4.087 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 474 |
+
INFO 2025-08-28 01:11:50 ts/train.py:232 step:91K smpl:731K ep:813 epch:16.27 loss:0.047 grdn:4.021 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 475 |
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INFO 2025-08-28 01:12:46 ts/train.py:232 step:92K smpl:733K ep:815 epch:16.30 loss:0.046 grdn:3.890 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 476 |
+
INFO 2025-08-28 01:13:42 ts/train.py:232 step:92K smpl:734K ep:817 epch:16.34 loss:0.049 grdn:3.989 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 477 |
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INFO 2025-08-28 01:14:38 ts/train.py:232 step:92K smpl:736K ep:819 epch:16.37 loss:0.047 grdn:3.876 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 478 |
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INFO 2025-08-28 01:15:34 ts/train.py:232 step:92K smpl:738K ep:820 epch:16.41 loss:0.046 grdn:3.943 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 479 |
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INFO 2025-08-28 01:16:30 ts/train.py:232 step:92K smpl:739K ep:822 epch:16.45 loss:0.047 grdn:4.097 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 480 |
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INFO 2025-08-28 01:17:26 ts/train.py:232 step:93K smpl:741K ep:824 epch:16.48 loss:0.048 grdn:4.024 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 481 |
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INFO 2025-08-28 01:18:22 ts/train.py:232 step:93K smpl:742K ep:826 epch:16.52 loss:0.048 grdn:4.128 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 482 |
+
INFO 2025-08-28 01:19:18 ts/train.py:232 step:93K smpl:744K ep:828 epch:16.55 loss:0.046 grdn:4.056 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 483 |
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INFO 2025-08-28 01:20:14 ts/train.py:232 step:93K smpl:746K ep:829 epch:16.59 loss:0.048 grdn:4.062 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 484 |
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INFO 2025-08-28 01:21:11 ts/train.py:232 step:93K smpl:747K ep:831 epch:16.62 loss:0.049 grdn:3.948 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 485 |
+
INFO 2025-08-28 01:22:07 ts/train.py:232 step:94K smpl:749K ep:833 epch:16.66 loss:0.047 grdn:4.131 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 486 |
+
INFO 2025-08-28 01:23:03 ts/train.py:232 step:94K smpl:750K ep:835 epch:16.69 loss:0.045 grdn:3.871 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 487 |
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INFO 2025-08-28 01:23:59 ts/train.py:232 step:94K smpl:752K ep:837 epch:16.73 loss:0.049 grdn:4.055 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 488 |
+
INFO 2025-08-28 01:24:55 ts/train.py:232 step:94K smpl:754K ep:838 epch:16.77 loss:0.044 grdn:3.863 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 489 |
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INFO 2025-08-28 01:25:51 ts/train.py:232 step:94K smpl:755K ep:840 epch:16.80 loss:0.046 grdn:3.976 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 490 |
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INFO 2025-08-28 01:26:47 ts/train.py:232 step:95K smpl:757K ep:842 epch:16.84 loss:0.046 grdn:3.864 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 491 |
+
INFO 2025-08-28 01:27:43 ts/train.py:232 step:95K smpl:758K ep:844 epch:16.87 loss:0.049 grdn:4.047 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 492 |
+
INFO 2025-08-28 01:28:39 ts/train.py:232 step:95K smpl:760K ep:845 epch:16.91 loss:0.048 grdn:3.896 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 493 |
+
INFO 2025-08-28 01:29:35 ts/train.py:232 step:95K smpl:762K ep:847 epch:16.94 loss:0.046 grdn:3.759 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 494 |
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INFO 2025-08-28 01:30:31 ts/train.py:232 step:95K smpl:763K ep:849 epch:16.98 loss:0.045 grdn:3.781 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 495 |
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INFO 2025-08-28 01:31:27 ts/train.py:232 step:96K smpl:765K ep:851 epch:17.01 loss:0.045 grdn:3.708 lr:1.0e-05 updt_s:0.279 data_s:0.001
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| 496 |
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INFO 2025-08-28 01:32:23 ts/train.py:232 step:96K smpl:766K ep:853 epch:17.05 loss:0.046 grdn:3.733 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 497 |
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INFO 2025-08-28 01:33:19 ts/train.py:232 step:96K smpl:768K ep:854 epch:17.09 loss:0.046 grdn:3.909 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 498 |
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INFO 2025-08-28 01:34:15 ts/train.py:232 step:96K smpl:770K ep:856 epch:17.12 loss:0.045 grdn:3.773 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 499 |
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INFO 2025-08-28 01:35:11 ts/train.py:232 step:96K smpl:771K ep:858 epch:17.16 loss:0.045 grdn:3.879 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 500 |
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INFO 2025-08-28 01:36:07 ts/train.py:232 step:97K smpl:773K ep:860 epch:17.19 loss:0.047 grdn:3.822 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 501 |
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INFO 2025-08-28 01:37:03 ts/train.py:232 step:97K smpl:774K ep:861 epch:17.23 loss:0.044 grdn:3.781 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 502 |
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INFO 2025-08-28 01:37:59 ts/train.py:232 step:97K smpl:776K ep:863 epch:17.26 loss:0.045 grdn:3.880 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 503 |
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INFO 2025-08-28 01:38:55 ts/train.py:232 step:97K smpl:778K ep:865 epch:17.30 loss:0.046 grdn:3.885 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 504 |
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INFO 2025-08-28 01:39:51 ts/train.py:232 step:97K smpl:779K ep:867 epch:17.34 loss:0.046 grdn:3.825 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 505 |
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INFO 2025-08-28 01:40:47 ts/train.py:232 step:98K smpl:781K ep:869 epch:17.37 loss:0.047 grdn:3.824 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 506 |
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INFO 2025-08-28 01:41:43 ts/train.py:232 step:98K smpl:782K ep:870 epch:17.41 loss:0.045 grdn:3.801 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 507 |
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INFO 2025-08-28 01:42:39 ts/train.py:232 step:98K smpl:784K ep:872 epch:17.44 loss:0.045 grdn:3.738 lr:1.0e-05 updt_s:0.280 data_s:0.000
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| 508 |
+
INFO 2025-08-28 01:43:35 ts/train.py:232 step:98K smpl:786K ep:874 epch:17.48 loss:0.044 grdn:3.739 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 509 |
+
INFO 2025-08-28 01:44:31 ts/train.py:232 step:98K smpl:787K ep:876 epch:17.51 loss:0.046 grdn:3.738 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 510 |
+
INFO 2025-08-28 01:45:27 ts/train.py:232 step:99K smpl:789K ep:877 epch:17.55 loss:0.046 grdn:3.823 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 511 |
+
INFO 2025-08-28 01:46:23 ts/train.py:232 step:99K smpl:790K ep:879 epch:17.58 loss:0.045 grdn:3.724 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 512 |
+
INFO 2025-08-28 01:47:19 ts/train.py:232 step:99K smpl:792K ep:881 epch:17.62 loss:0.046 grdn:3.836 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 513 |
+
INFO 2025-08-28 01:48:15 ts/train.py:232 step:99K smpl:794K ep:883 epch:17.66 loss:0.048 grdn:4.041 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 514 |
+
INFO 2025-08-28 01:49:11 ts/train.py:232 step:99K smpl:795K ep:885 epch:17.69 loss:0.048 grdn:3.844 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 515 |
+
INFO 2025-08-28 01:50:07 ts/train.py:232 step:100K smpl:797K ep:886 epch:17.73 loss:0.046 grdn:3.854 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 516 |
+
INFO 2025-08-28 01:51:03 ts/train.py:232 step:100K smpl:798K ep:888 epch:17.76 loss:0.046 grdn:3.744 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 517 |
+
INFO 2025-08-28 01:51:59 ts/train.py:232 step:100K smpl:800K ep:890 epch:17.80 loss:0.043 grdn:3.597 lr:1.0e-05 updt_s:0.280 data_s:0.000
|
| 518 |
+
INFO 2025-08-28 01:51:59 ts/train.py:241 Checkpoint policy after step 100000
|
| 519 |
+
INFO 2025-08-28 01:52:01 ts/train.py:283 End of training
|
wandb/run-20250827_180348-gev70sm3/files/requirements.txt
ADDED
|
@@ -0,0 +1,130 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
pynput==1.8.1
|
| 2 |
+
annotated-types==0.7.0
|
| 3 |
+
beautifulsoup4==4.13.5
|
| 4 |
+
safetensors==0.6.2
|
| 5 |
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fsspec==2025.3.0
|
| 6 |
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cmake==4.1.0
|
| 7 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 8 |
+
async-timeout==5.0.1
|
| 9 |
+
python-xlib==0.33
|
| 10 |
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opencv-python-headless==4.12.0.88
|
| 11 |
+
tqdm==4.67.1
|
| 12 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 13 |
+
idna==3.10
|
| 14 |
+
nvidia-nccl-cu12==2.27.3
|
| 15 |
+
smmap==5.0.2
|
| 16 |
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orderly-set==5.5.0
|
| 17 |
+
filelock==3.19.1
|
| 18 |
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GitPython==3.1.45
|
| 19 |
+
lerobot==0.1.0
|
| 20 |
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pip==25.1
|
| 21 |
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frozenlist==1.7.0
|
| 22 |
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wandb==0.21.1
|
| 23 |
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huggingface-hub==0.34.4
|
| 24 |
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einops==0.8.1
|
| 25 |
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nvidia-cuda-nvrtc-cu12==12.8.93
|
| 26 |
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networkx==3.4.2
|
| 27 |
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typing_extensions==4.14.1
|
| 28 |
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sentry-sdk==2.35.0
|
| 29 |
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pyyaml-include==1.4.1
|
| 30 |
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draccus==0.10.0
|
| 31 |
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click==8.2.1
|
| 32 |
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omegaconf==2.3.0
|
| 33 |
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importlib_metadata==8.7.0
|
| 34 |
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pfzy==0.3.4
|
| 35 |
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platformdirs==4.3.8
|
| 36 |
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zipp==3.23.0
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| 37 |
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psutil==7.0.0
|
| 38 |
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multiprocess==0.70.16
|
| 39 |
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mypy_extensions==1.1.0
|
| 40 |
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aiosignal==1.4.0
|
| 41 |
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nvidia-cusolver-cu12==11.7.3.90
|
| 42 |
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gdown==5.2.0
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| 43 |
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certifi==2025.8.3
|
| 44 |
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gitdb==4.0.12
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| 45 |
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triton==3.4.0
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| 46 |
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Farama-Notifications==0.0.4
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| 47 |
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mergedeep==1.3.4
|
| 48 |
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charset-normalizer==3.4.3
|
| 49 |
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torch==2.8.0
|
| 50 |
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antlr4-python3-runtime==4.9.3
|
| 51 |
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datasets==4.0.0
|
| 52 |
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fasteners==0.20
|
| 53 |
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xxhash==3.5.0
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| 54 |
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toml==0.10.2
|
| 55 |
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Werkzeug==3.1.3
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| 56 |
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tzdata==2025.2
|
| 57 |
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aiohttp==3.12.15
|
| 58 |
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regex==2025.7.34
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| 59 |
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PyYAML==6.0.2
|
| 60 |
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pymunk==6.11.1
|
| 61 |
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packaging==25.0
|
| 62 |
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wheel==0.45.1
|
| 63 |
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zarr==2.18.3
|
| 64 |
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python-dateutil==2.9.0.post0
|
| 65 |
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PySocks==1.7.1
|
| 66 |
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yarl==1.20.1
|
| 67 |
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nvidia-cublas-cu12==12.8.4.1
|
| 68 |
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pandas==2.3.2
|
| 69 |
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six==1.17.0
|
| 70 |
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inquirerpy==0.3.4
|
| 71 |
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typing-inspection==0.4.1
|
| 72 |
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asciitree==0.3.3
|
| 73 |
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nvidia-nvjitlink-cu12==12.8.93
|
| 74 |
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nvidia-cusparse-cu12==12.5.8.93
|
| 75 |
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aiohappyeyeballs==2.6.1
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| 76 |
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MarkupSafe==3.0.2
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| 77 |
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urllib3==2.5.0
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| 78 |
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pyarrow==21.0.0
|
| 79 |
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setuptools==78.1.1
|
| 80 |
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termcolor==3.1.0
|
| 81 |
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propcache==0.3.2
|
| 82 |
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pytz==2025.2
|
| 83 |
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nvidia-cufile-cu12==1.13.1.3
|
| 84 |
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deepdiff==8.6.0
|
| 85 |
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multidict==6.6.4
|
| 86 |
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numpy==2.2.6
|
| 87 |
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numcodecs==0.13.1
|
| 88 |
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pyserial==3.5
|
| 89 |
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pycparser==2.22
|
| 90 |
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cffi==1.17.1
|
| 91 |
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pyzmq==27.0.2
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| 92 |
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wcwidth==0.2.13
|
| 93 |
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dill==0.3.8
|
| 94 |
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numba==0.61.2
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| 95 |
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|
| 96 |
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hf_transfer==0.1.9
|
| 97 |
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nvidia-curand-cu12==10.3.9.90
|
| 98 |
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nvidia-cufft-cu12==11.3.3.83
|
| 99 |
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gymnasium==0.29.1
|
| 100 |
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sympy==1.14.0
|
| 101 |
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jsonlines==4.0.0
|
| 102 |
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cloudpickle==3.1.1
|
| 103 |
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nvidia-cuda-cupti-cu12==12.8.90
|
| 104 |
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torchvision==0.23.0
|
| 105 |
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rerun-sdk==0.24.1
|
| 106 |
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av==15.0.0
|
| 107 |
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soupsieve==2.7
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| 108 |
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attrs==25.3.0
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| 109 |
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h5py==3.14.0
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| 110 |
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diffusers==0.35.1
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| 111 |
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blinker==1.9.0
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| 112 |
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feetech-servo-sdk==1.0.0
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| 113 |
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llvmlite==0.44.0
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| 114 |
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protobuf==6.32.0
|
| 115 |
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imageio-ffmpeg==0.6.0
|
| 116 |
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prompt_toolkit==3.0.51
|
| 117 |
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itsdangerous==2.2.0
|
| 118 |
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hf-xet==1.1.8
|
| 119 |
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requests==2.32.5
|
| 120 |
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Flask==3.1.2
|
| 121 |
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pillow==11.3.0
|
| 122 |
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nvidia-nvtx-cu12==12.8.90
|
| 123 |
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nvidia-cudnn-cu12==9.10.2.21
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| 124 |
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pydantic_core==2.33.2
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| 125 |
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typing-inspect==0.9.0
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| 126 |
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pydantic==2.11.7
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torchcodec==0.6.0
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| 128 |
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evdev==1.9.2
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| 129 |
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wandb/run-20250827_180348-gev70sm3/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,48 @@
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|
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|
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|
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|
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|
|
|
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|
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|
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|
|
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|
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|
|
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|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
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|
|
| 1 |
+
{
|
| 2 |
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| 3 |
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| 6 |
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"--dataset.repo_id=test_250827/carrot_test",
|
| 7 |
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|
| 8 |
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"--output_dir=outputs/train/act_carrot_test",
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| 9 |
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"--job_name=act_carrot_test",
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 18 |
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"remote": "https://github.com/jooyoung13/lerobot.git",
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| 19 |
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"commit": "3be9cb6e6aa2f67c39eecc133a43e6cb93201336"
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| 20 |
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},
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| 21 |
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"root": "outputs/train/act_carrot_test",
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| 22 |
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"host": "jy-pc",
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| 23 |
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"executable": "/home/jy/miniconda3/envs/lerobot/bin/python",
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| 24 |
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| 25 |
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| 29 |
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wandb/run-20250827_180348-gev70sm3/logs/debug-internal.log
ADDED
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@@ -0,0 +1,20 @@
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{"time":"2025-08-27T18:03:48.488297721+09:00","level":"INFO","msg":"stream: starting","core version":"0.21.1"}
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{"time":"2025-08-27T18:03:48.836925142+09:00","level":"INFO","msg":"stream: created new stream","id":"gev70sm3"}
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{"time":"2025-08-27T18:03:48.83697528+09:00","level":"INFO","msg":"stream: started","id":"gev70sm3"}
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{"time":"2025-08-27T18:03:48.837104403+09:00","level":"INFO","msg":"writer: started","stream_id":"gev70sm3"}
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{"time":"2025-08-27T18:03:48.837153338+09:00","level":"INFO","msg":"handler: started","stream_id":"gev70sm3"}
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{"time":"2025-08-27T18:03:48.837258228+09:00","level":"INFO","msg":"sender: started","stream_id":"gev70sm3"}
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2025-08-27 18:03:48,274 INFO MainThread:447630 [wandb_setup.py:_flush():80] Current SDK version is 0.21.1
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ADDED
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