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Browse files- .gitattributes +1 -0
- checkpoints/020000/pretrained_model/config.json +69 -0
- checkpoints/020000/pretrained_model/model.safetensors +3 -0
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- checkpoints/020000/training_state/rng_state.safetensors +3 -0
- checkpoints/020000/training_state/training_step.json +3 -0
- checkpoints/040000/pretrained_model/config.json +69 -0
- checkpoints/040000/pretrained_model/model.safetensors +3 -0
- checkpoints/040000/pretrained_model/train_config.json +175 -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 +69 -0
- checkpoints/060000/pretrained_model/model.safetensors +3 -0
- checkpoints/060000/pretrained_model/train_config.json +175 -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 +69 -0
- checkpoints/080000/pretrained_model/model.safetensors +3 -0
- checkpoints/080000/pretrained_model/train_config.json +175 -0
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- 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 +69 -0
- checkpoints/100000/pretrained_model/model.safetensors +3 -0
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- 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/debug-internal.log +14 -0
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- wandb/run-20251015_161409-p0vu320d/files/output.log +581 -0
- wandb/run-20251015_161409-p0vu320d/files/requirements.txt +239 -0
- wandb/run-20251015_161409-p0vu320d/files/wandb-metadata.json +46 -0
- wandb/run-20251015_161409-p0vu320d/files/wandb-summary.json +1 -0
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- wandb/run-20251015_161409-p0vu320d/run-p0vu320d.wandb +3 -0
.gitattributes
CHANGED
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checkpoints/020000/pretrained_model/config.json
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0.999
|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
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|
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|
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|
| 174 |
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|
| 175 |
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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
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version https://git-lfs.github.com/spec/v1
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size 412817652
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checkpoints/020000/training_state/rng_state.safetensors
ADDED
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checkpoints/020000/training_state/training_step.json
ADDED
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@@ -0,0 +1,3 @@
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checkpoints/040000/pretrained_model/config.json
ADDED
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| 39 |
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| 40 |
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|
| 42 |
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|
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| 44 |
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| 45 |
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|
| 51 |
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|
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|
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|
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|
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|
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| 68 |
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|
| 69 |
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checkpoints/040000/pretrained_model/model.safetensors
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size 206701056
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checkpoints/040000/pretrained_model/train_config.json
ADDED
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| 1 |
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| 69 |
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| 72 |
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|
| 136 |
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| 138 |
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| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
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|
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|
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|
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|
| 159 |
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| 160 |
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| 161 |
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|
| 162 |
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|
| 163 |
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|
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|
| 168 |
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|
| 174 |
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|
| 175 |
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}
|
checkpoints/040000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
|
|
|
|
|
|
|
|
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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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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
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|
| 163 |
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|
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|
| 165 |
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|
| 166 |
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|
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|
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|
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
checkpoints/060000/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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version https://git-lfs.github.com/spec/v1
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size 412817652
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checkpoints/060000/training_state/rng_state.safetensors
ADDED
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checkpoints/060000/training_state/training_step.json
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checkpoints/080000/pretrained_model/config.json
ADDED
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| 39 |
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| 40 |
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| 41 |
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|
| 42 |
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|
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| 44 |
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| 45 |
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|
| 51 |
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|
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|
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|
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|
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|
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| 68 |
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|
| 69 |
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checkpoints/080000/pretrained_model/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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size 206701056
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checkpoints/080000/pretrained_model/train_config.json
ADDED
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| 1 |
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| 2 |
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| 32 |
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| 36 |
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| 69 |
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| 70 |
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| 72 |
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| 76 |
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| 105 |
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|
| 109 |
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|
| 136 |
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| 138 |
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|
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|
| 144 |
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|
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| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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| 165 |
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|
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|
| 168 |
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| 170 |
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|
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|
| 174 |
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|
| 175 |
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}
|
checkpoints/080000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
|
|
|
|
|
|
|
|
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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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|
| 153 |
+
"grad_clip_norm": 10.0,
|
| 154 |
+
"betas": [
|
| 155 |
+
0.9,
|
| 156 |
+
0.999
|
| 157 |
+
],
|
| 158 |
+
"eps": 1e-08
|
| 159 |
+
},
|
| 160 |
+
"scheduler": null,
|
| 161 |
+
"eval": {
|
| 162 |
+
"n_episodes": 50,
|
| 163 |
+
"batch_size": 50,
|
| 164 |
+
"use_async_envs": false
|
| 165 |
+
},
|
| 166 |
+
"wandb": {
|
| 167 |
+
"enable": true,
|
| 168 |
+
"disable_artifact": false,
|
| 169 |
+
"project": "lerobot",
|
| 170 |
+
"entity": null,
|
| 171 |
+
"notes": null,
|
| 172 |
+
"run_id": "p0vu320d",
|
| 173 |
+
"mode": null
|
| 174 |
+
}
|
| 175 |
+
}
|
checkpoints/100000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,191 @@
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[
|
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{
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|
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| 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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150,
|
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151,
|
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152
|
| 189 |
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|
| 190 |
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}
|
| 191 |
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|
checkpoints/100000/training_state/optimizer_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
|
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:e43dea1ac2e5c5ca1c3b893a15189a804f1a5a28d3cad2c395309f5ac6e4831f
|
| 3 |
+
size 412817652
|
checkpoints/100000/training_state/rng_state.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2142b69448e2fdba4229e33222e8c3e1e0155380a509ffc3830c384e7d44c431
|
| 3 |
+
size 15708
|
checkpoints/100000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 100000
|
| 3 |
+
}
|
wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,14 @@
|
|
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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 |
+
{"time":"2025-10-15T16:14:09.624836715+08:00","level":"INFO","msg":"stream: starting","core version":"0.22.0"}
|
| 2 |
+
{"time":"2025-10-15T16:14:10.14854742+08:00","level":"INFO","msg":"stream: created new stream","id":"p0vu320d"}
|
| 3 |
+
{"time":"2025-10-15T16:14:10.148566733+08:00","level":"INFO","msg":"stream: started","id":"p0vu320d"}
|
| 4 |
+
{"time":"2025-10-15T16:14:10.148576886+08:00","level":"INFO","msg":"handler: started","stream_id":"p0vu320d"}
|
| 5 |
+
{"time":"2025-10-15T16:14:10.148586296+08:00","level":"INFO","msg":"sender: started","stream_id":"p0vu320d"}
|
| 6 |
+
{"time":"2025-10-15T16:14:10.148597723+08:00","level":"INFO","msg":"writer: started","stream_id":"p0vu320d"}
|
| 7 |
+
{"time":"2025-10-15T16:55:08.587713976+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:43856->127.0.0.53:53: i/o timeout"}
|
| 8 |
+
{"time":"2025-10-15T17:09:23.588486422+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:44983->127.0.0.53:53: i/o timeout"}
|
| 9 |
+
{"time":"2025-10-15T17:44:20.557928142+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:60290->127.0.0.53:53: i/o timeout"}
|
| 10 |
+
{"time":"2025-10-15T17:49:09.456949862+08:00","level":"INFO","msg":"stream: closing","id":"p0vu320d"}
|
| 11 |
+
{"time":"2025-10-15T17:52:19.341615371+08:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
|
| 12 |
+
{"time":"2025-10-15T17:52:19.623839479+08:00","level":"INFO","msg":"handler: closed","stream_id":"p0vu320d"}
|
| 13 |
+
{"time":"2025-10-15T17:52:19.62390271+08:00","level":"INFO","msg":"sender: closed","stream_id":"p0vu320d"}
|
| 14 |
+
{"time":"2025-10-15T17:52:19.623914844+08:00","level":"INFO","msg":"stream: closed","id":"p0vu320d"}
|
wandb/debug.log
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Current SDK version is 0.22.0
|
| 2 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Configure stats pid to 12626
|
| 3 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from /home/mike/.config/wandb/settings
|
| 4 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from /home/mike/lerobot/wandb/settings
|
| 5 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:setup_run_log_directory():686] Logging user logs to outputs/train/act_so101_test6/wandb/run-20251015_161409-p0vu320d/logs/debug.log
|
| 7 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to outputs/train/act_so101_test6/wandb/run-20251015_161409-p0vu320d/logs/debug-internal.log
|
| 8 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():813] calling init triggers
|
| 9 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': 'miketangmk/record-test6', 'root': None, 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'act', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'push_to_hub': True, 'repo_id': 'miketangmk/my_policy6', 'private': None, 'tags': None, 'license': None, 'chunk_size': 100, 'n_action_steps': 100, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1', 'replace_final_stride_with_dilation': False, 'pre_norm': False, 'dim_model': 512, 'n_heads': 8, 'dim_feedforward': 3200, 'feedforward_activation': 'relu', 'n_encoder_layers': 4, 'n_decoder_layers': 1, 'use_vae': True, 'latent_dim': 32, 'n_vae_encoder_layers': 4, 'temporal_ensemble_coeff': None, 'dropout': 0.1, 'kl_weight': 10.0, 'optimizer_lr': 1e-05, 'optimizer_weight_decay': 0.0001, 'optimizer_lr_backbone': 1e-05}, 'output_dir': 'outputs/train/act_so101_test6', 'job_name': 'act_record_test6', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 8, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 1e-05, 'weight_decay': 0.0001, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': None, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': None, 'mode': None}, '_wandb': {}}
|
| 11 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():861] starting backend
|
| 12 |
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2025-10-15 16:14:09,618 INFO MainThread:12626 [wandb_init.py:init():864] sending inform_init request
|
| 13 |
+
2025-10-15 16:14:09,622 INFO MainThread:12626 [wandb_init.py:init():872] backend started and connected
|
| 14 |
+
2025-10-15 16:14:09,622 INFO MainThread:12626 [wandb_init.py:init():942] updated telemetry
|
| 15 |
+
2025-10-15 16:14:09,626 INFO MainThread:12626 [wandb_init.py:init():966] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-10-15 16:14:10,550 INFO MainThread:12626 [wandb_init.py:init():1017] starting run threads in backend
|
| 17 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-10-15 16:14:10,610 INFO MainThread:12626 [wandb_init.py:init():1057] run started, returning control to user process
|
| 22 |
+
2025-10-15 17:49:09,457 INFO wandb-AsyncioManager-main:12626 [service_client.py:_forward_responses():84] Reached EOF.
|
| 23 |
+
2025-10-15 17:49:09,457 INFO wandb-AsyncioManager-main:12626 [mailbox.py:close():137] Closing mailbox, abandoning 2 handles.
|
wandb/run-20251015_161409-p0vu320d/files/config.yaml
ADDED
|
@@ -0,0 +1,201 @@
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|
| 1 |
+
_wandb:
|
| 2 |
+
value:
|
| 3 |
+
cli_version: 0.22.0
|
| 4 |
+
e:
|
| 5 |
+
ss1c4k6sos4snpva8seucrc0uzwh64v7:
|
| 6 |
+
args:
|
| 7 |
+
- --dataset.repo_id=miketangmk/record-test6
|
| 8 |
+
- --policy.type=act
|
| 9 |
+
- --output_dir=outputs/train/act_so101_test6
|
| 10 |
+
- --job_name=act_record_test6
|
| 11 |
+
- --policy.device=cuda
|
| 12 |
+
- --wandb.enable=true
|
| 13 |
+
- --policy.repo_id=miketangmk/my_policy6
|
| 14 |
+
cpu_count: 16
|
| 15 |
+
cpu_count_logical: 32
|
| 16 |
+
cudaVersion: "13.0"
|
| 17 |
+
disk:
|
| 18 |
+
/:
|
| 19 |
+
total: "294149980160"
|
| 20 |
+
used: "51734691840"
|
| 21 |
+
executable: /home/mike/miniconda3/envs/lerobot/bin/python3.10
|
| 22 |
+
git:
|
| 23 |
+
commit: 577cd10974b84bea1f06b6472eb9e5e74e07f77a
|
| 24 |
+
remote: https://github.com/huggingface/lerobot.git
|
| 25 |
+
gpu: NVIDIA GeForce RTX 5090
|
| 26 |
+
gpu_count: 1
|
| 27 |
+
gpu_nvidia:
|
| 28 |
+
- architecture: Blackwell
|
| 29 |
+
cudaCores: 21760
|
| 30 |
+
memoryTotal: "34190917632"
|
| 31 |
+
name: NVIDIA GeForce RTX 5090
|
| 32 |
+
uuid: GPU-659ada3c-90e2-16b4-3823-4cf06c456f53
|
| 33 |
+
host: HomeUbuntu24
|
| 34 |
+
memory:
|
| 35 |
+
total: "64891895808"
|
| 36 |
+
os: Linux-6.14.0-33-generic-x86_64-with-glibc2.39
|
| 37 |
+
program: /home/mike/miniconda3/envs/lerobot/bin/lerobot-train
|
| 38 |
+
python: CPython 3.10.18
|
| 39 |
+
root: outputs/train/act_so101_test6
|
| 40 |
+
startedAt: "2025-10-15T08:14:09.413917Z"
|
| 41 |
+
writerId: ss1c4k6sos4snpva8seucrc0uzwh64v7
|
| 42 |
+
m: []
|
| 43 |
+
python_version: 3.10.18
|
| 44 |
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t:
|
| 45 |
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"1":
|
| 46 |
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- 1
|
| 47 |
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- 41
|
| 48 |
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- 49
|
| 49 |
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|
| 50 |
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"2":
|
| 51 |
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- 1
|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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"3":
|
| 56 |
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- 13
|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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"4": 3.10.18
|
| 61 |
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"5": 0.22.0
|
| 62 |
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"10":
|
| 63 |
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- 21
|
| 64 |
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"12": 0.22.0
|
| 65 |
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"13": linux-x86_64
|
| 66 |
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batch_size:
|
| 67 |
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value: 8
|
| 68 |
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dataset:
|
| 69 |
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value:
|
| 70 |
+
episodes: null
|
| 71 |
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image_transforms:
|
| 72 |
+
enable: false
|
| 73 |
+
max_num_transforms: 3
|
| 74 |
+
random_order: false
|
| 75 |
+
tfs:
|
| 76 |
+
brightness:
|
| 77 |
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kwargs:
|
| 78 |
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brightness:
|
| 79 |
+
- 0.8
|
| 80 |
+
- 1.2
|
| 81 |
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type: ColorJitter
|
| 82 |
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weight: 1
|
| 83 |
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contrast:
|
| 84 |
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kwargs:
|
| 85 |
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contrast:
|
| 86 |
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- 0.8
|
| 87 |
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- 1.2
|
| 88 |
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type: ColorJitter
|
| 89 |
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weight: 1
|
| 90 |
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hue:
|
| 91 |
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kwargs:
|
| 92 |
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hue:
|
| 93 |
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- -0.05
|
| 94 |
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- 0.05
|
| 95 |
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type: ColorJitter
|
| 96 |
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weight: 1
|
| 97 |
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saturation:
|
| 98 |
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kwargs:
|
| 99 |
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saturation:
|
| 100 |
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- 0.5
|
| 101 |
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- 1.5
|
| 102 |
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type: ColorJitter
|
| 103 |
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weight: 1
|
| 104 |
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sharpness:
|
| 105 |
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kwargs:
|
| 106 |
+
sharpness:
|
| 107 |
+
- 0.5
|
| 108 |
+
- 1.5
|
| 109 |
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type: SharpnessJitter
|
| 110 |
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weight: 1
|
| 111 |
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repo_id: miketangmk/record-test6
|
| 112 |
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revision: null
|
| 113 |
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root: null
|
| 114 |
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use_imagenet_stats: true
|
| 115 |
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video_backend: torchcodec
|
| 116 |
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env:
|
| 117 |
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value: null
|
| 118 |
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eval:
|
| 119 |
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value:
|
| 120 |
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batch_size: 50
|
| 121 |
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n_episodes: 50
|
| 122 |
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use_async_envs: false
|
| 123 |
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eval_freq:
|
| 124 |
+
value: 20000
|
| 125 |
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job_name:
|
| 126 |
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value: act_record_test6
|
| 127 |
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log_freq:
|
| 128 |
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value: 200
|
| 129 |
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num_workers:
|
| 130 |
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value: 4
|
| 131 |
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optimizer:
|
| 132 |
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value:
|
| 133 |
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betas:
|
| 134 |
+
- 0.9
|
| 135 |
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- 0.999
|
| 136 |
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eps: 1e-08
|
| 137 |
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grad_clip_norm: 10
|
| 138 |
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lr: 1e-05
|
| 139 |
+
type: adamw
|
| 140 |
+
weight_decay: 0.0001
|
| 141 |
+
output_dir:
|
| 142 |
+
value: outputs/train/act_so101_test6
|
| 143 |
+
policy:
|
| 144 |
+
value:
|
| 145 |
+
chunk_size: 100
|
| 146 |
+
device: cuda
|
| 147 |
+
dim_feedforward: 3200
|
| 148 |
+
dim_model: 512
|
| 149 |
+
dropout: 0.1
|
| 150 |
+
feedforward_activation: relu
|
| 151 |
+
kl_weight: 10
|
| 152 |
+
latent_dim: 32
|
| 153 |
+
license: null
|
| 154 |
+
n_action_steps: 100
|
| 155 |
+
n_decoder_layers: 1
|
| 156 |
+
n_encoder_layers: 4
|
| 157 |
+
n_heads: 8
|
| 158 |
+
n_obs_steps: 1
|
| 159 |
+
n_vae_encoder_layers: 4
|
| 160 |
+
normalization_mapping:
|
| 161 |
+
ACTION: MEAN_STD
|
| 162 |
+
STATE: MEAN_STD
|
| 163 |
+
VISUAL: MEAN_STD
|
| 164 |
+
optimizer_lr: 1e-05
|
| 165 |
+
optimizer_lr_backbone: 1e-05
|
| 166 |
+
optimizer_weight_decay: 0.0001
|
| 167 |
+
pre_norm: false
|
| 168 |
+
pretrained_backbone_weights: ResNet18_Weights.IMAGENET1K_V1
|
| 169 |
+
private: null
|
| 170 |
+
push_to_hub: true
|
| 171 |
+
replace_final_stride_with_dilation: false
|
| 172 |
+
repo_id: miketangmk/my_policy6
|
| 173 |
+
tags: null
|
| 174 |
+
temporal_ensemble_coeff: null
|
| 175 |
+
type: act
|
| 176 |
+
use_amp: false
|
| 177 |
+
use_vae: true
|
| 178 |
+
vision_backbone: resnet18
|
| 179 |
+
resume:
|
| 180 |
+
value: false
|
| 181 |
+
save_checkpoint:
|
| 182 |
+
value: true
|
| 183 |
+
save_freq:
|
| 184 |
+
value: 20000
|
| 185 |
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scheduler:
|
| 186 |
+
value: null
|
| 187 |
+
seed:
|
| 188 |
+
value: 1000
|
| 189 |
+
steps:
|
| 190 |
+
value: 100000
|
| 191 |
+
use_policy_training_preset:
|
| 192 |
+
value: true
|
| 193 |
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wandb:
|
| 194 |
+
value:
|
| 195 |
+
disable_artifact: false
|
| 196 |
+
enable: true
|
| 197 |
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entity: null
|
| 198 |
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mode: null
|
| 199 |
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notes: null
|
| 200 |
+
project: lerobot
|
| 201 |
+
run_id: null
|
wandb/run-20251015_161409-p0vu320d/files/output.log
ADDED
|
@@ -0,0 +1,581 @@
|
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| 1 |
+
[1m[34mLogs will be synced with wandb.[0m
|
| 2 |
+
INFO 2025-10-15 16:14:10 db_utils.py:103 Track this run --> [1m[33mhttps://wandb.ai/tang-mike-tmnetwork/lerobot/runs/p0vu320d[0m
|
| 3 |
+
INFO 2025-10-15 16:14:10 ts/train.py:127 Creating dataset
|
| 4 |
+
Generating train split: 3968 examples [00:00, 326179.80 examples/s]
|
| 5 |
+
INFO 2025-10-15 16:14:11 ts/train.py:138 Creating policy
|
| 6 |
+
INFO 2025-10-15 16:14:12 ts/train.py:144 Creating optimizer and scheduler
|
| 7 |
+
INFO 2025-10-15 16:14:12 ts/train.py:156 [1m[33mOutput dir:[0m outputs/train/act_so101_test6
|
| 8 |
+
INFO 2025-10-15 16:14:12 ts/train.py:159 cfg.steps=100000 (100K)
|
| 9 |
+
INFO 2025-10-15 16:14:12 ts/train.py:160 dataset.num_frames=3968 (4K)
|
| 10 |
+
INFO 2025-10-15 16:14:12 ts/train.py:161 dataset.num_episodes=5
|
| 11 |
+
INFO 2025-10-15 16:14:12 ts/train.py:162 num_learnable_params=51597190 (52M)
|
| 12 |
+
INFO 2025-10-15 16:14:12 ts/train.py:163 num_total_params=51597238 (52M)
|
| 13 |
+
INFO 2025-10-15 16:14:12 ts/train.py:202 Start offline training on a fixed dataset
|
| 14 |
+
INFO 2025-10-15 16:14:23 ts/train.py:232 step:200 smpl:2K ep:2 epch:0.40 loss:6.774 grdn:153.422 lr:1.0e-05 updt_s:0.057 data_s:0.001
|
| 15 |
+
INFO 2025-10-15 16:14:34 ts/train.py:232 step:400 smpl:3K ep:4 epch:0.81 loss:2.975 grdn:85.151 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 16 |
+
INFO 2025-10-15 16:14:45 ts/train.py:232 step:600 smpl:5K ep:6 epch:1.21 loss:2.508 grdn:75.979 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 17 |
+
INFO 2025-10-15 16:14:56 ts/train.py:232 step:800 smpl:6K ep:8 epch:1.61 loss:2.226 grdn:69.166 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 18 |
+
INFO 2025-10-15 16:15:07 ts/train.py:232 step:1K smpl:8K ep:10 epch:2.02 loss:1.943 grdn:66.395 lr:1.0e-05 updt_s:0.055 data_s:0.001
|
| 19 |
+
INFO 2025-10-15 16:15:18 ts/train.py:232 step:1K smpl:10K ep:12 epch:2.42 loss:1.742 grdn:62.801 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 20 |
+
INFO 2025-10-15 16:15:29 ts/train.py:232 step:1K smpl:11K ep:14 epch:2.82 loss:1.586 grdn:60.114 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 21 |
+
INFO 2025-10-15 16:15:40 ts/train.py:232 step:2K smpl:13K ep:16 epch:3.23 loss:1.411 grdn:55.766 lr:1.0e-05 updt_s:0.054 data_s:0.001
|
| 22 |
+
INFO 2025-10-15 16:15:51 ts/train.py:232 step:2K smpl:14K ep:18 epch:3.63 loss:1.296 grdn:54.109 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 23 |
+
INFO 2025-10-15 16:16:02 ts/train.py:232 step:2K smpl:16K ep:20 epch:4.03 loss:1.172 grdn:51.744 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 24 |
+
INFO 2025-10-15 16:16:12 ts/train.py:232 step:2K smpl:18K ep:22 epch:4.44 loss:1.052 grdn:49.131 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 25 |
+
INFO 2025-10-15 16:16:23 ts/train.py:232 step:2K smpl:19K ep:24 epch:4.84 loss:0.972 grdn:46.671 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 26 |
+
INFO 2025-10-15 16:16:34 ts/train.py:232 step:3K smpl:21K ep:26 epch:5.24 loss:0.873 grdn:44.671 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 27 |
+
INFO 2025-10-15 16:16:45 ts/train.py:232 step:3K smpl:22K ep:28 epch:5.65 loss:0.798 grdn:41.039 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 28 |
+
INFO 2025-10-15 16:16:55 ts/train.py:232 step:3K smpl:24K ep:30 epch:6.05 loss:0.726 grdn:39.988 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 29 |
+
INFO 2025-10-15 16:17:06 ts/train.py:232 step:3K smpl:26K ep:32 epch:6.45 loss:0.655 grdn:37.456 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 30 |
+
INFO 2025-10-15 16:17:17 ts/train.py:232 step:3K smpl:27K ep:34 epch:6.85 loss:0.601 grdn:36.226 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 31 |
+
INFO 2025-10-15 16:17:28 ts/train.py:232 step:4K smpl:29K ep:36 epch:7.26 loss:0.551 grdn:34.159 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 32 |
+
INFO 2025-10-15 16:17:39 ts/train.py:232 step:4K smpl:30K ep:38 epch:7.66 loss:0.502 grdn:32.764 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 33 |
+
INFO 2025-10-15 16:17:50 ts/train.py:232 step:4K smpl:32K ep:40 epch:8.06 loss:0.466 grdn:30.955 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 34 |
+
INFO 2025-10-15 16:18:00 ts/train.py:232 step:4K smpl:34K ep:42 epch:8.47 loss:0.428 grdn:30.400 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 35 |
+
INFO 2025-10-15 16:18:11 ts/train.py:232 step:4K smpl:35K ep:44 epch:8.87 loss:0.398 grdn:28.980 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 36 |
+
INFO 2025-10-15 16:18:22 ts/train.py:232 step:5K smpl:37K ep:46 epch:9.27 loss:0.376 grdn:28.258 lr:1.0e-05 updt_s:0.054 data_s:0.001
|
| 37 |
+
INFO 2025-10-15 16:18:33 ts/train.py:232 step:5K smpl:38K ep:48 epch:9.68 loss:0.351 grdn:26.980 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 38 |
+
INFO 2025-10-15 16:18:45 ts/train.py:232 step:5K smpl:40K ep:50 epch:10.08 loss:0.328 grdn:25.364 lr:1.0e-05 updt_s:0.055 data_s:0.001
|
| 39 |
+
INFO 2025-10-15 16:18:55 ts/train.py:232 step:5K smpl:42K ep:52 epch:10.48 loss:0.315 grdn:25.092 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 40 |
+
INFO 2025-10-15 16:19:06 ts/train.py:232 step:5K smpl:43K ep:54 epch:10.89 loss:0.296 grdn:24.112 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 41 |
+
INFO 2025-10-15 16:19:16 ts/train.py:232 step:6K smpl:45K ep:56 epch:11.29 loss:0.282 grdn:23.453 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 42 |
+
INFO 2025-10-15 16:19:27 ts/train.py:232 step:6K smpl:46K ep:58 epch:11.69 loss:0.271 grdn:23.196 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 43 |
+
INFO 2025-10-15 16:19:37 ts/train.py:232 step:6K smpl:48K ep:60 epch:12.10 loss:0.259 grdn:22.506 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 44 |
+
INFO 2025-10-15 16:19:48 ts/train.py:232 step:6K smpl:50K ep:62 epch:12.50 loss:0.246 grdn:21.759 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 45 |
+
INFO 2025-10-15 16:19:59 ts/train.py:232 step:6K smpl:51K ep:65 epch:12.90 loss:0.236 grdn:21.161 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 46 |
+
INFO 2025-10-15 16:20:09 ts/train.py:232 step:7K smpl:53K ep:67 epch:13.31 loss:0.229 grdn:21.287 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 47 |
+
INFO 2025-10-15 16:20:20 ts/train.py:232 step:7K smpl:54K ep:69 epch:13.71 loss:0.220 grdn:20.242 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 48 |
+
INFO 2025-10-15 16:20:31 ts/train.py:232 step:7K smpl:56K ep:71 epch:14.11 loss:0.218 grdn:20.010 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 49 |
+
INFO 2025-10-15 16:20:42 ts/train.py:232 step:7K smpl:58K ep:73 epch:14.52 loss:0.206 grdn:19.579 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 50 |
+
INFO 2025-10-15 16:20:53 ts/train.py:232 step:7K smpl:59K ep:75 epch:14.92 loss:0.202 grdn:19.454 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 51 |
+
INFO 2025-10-15 16:21:04 ts/train.py:232 step:8K smpl:61K ep:77 epch:15.32 loss:0.196 grdn:19.983 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 52 |
+
INFO 2025-10-15 16:21:14 ts/train.py:232 step:8K smpl:62K ep:79 epch:15.73 loss:0.193 grdn:19.083 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 53 |
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INFO 2025-10-15 16:21:24 ts/train.py:232 step:8K smpl:64K ep:81 epch:16.13 loss:0.188 grdn:18.638 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 54 |
+
INFO 2025-10-15 16:21:35 ts/train.py:232 step:8K smpl:66K ep:83 epch:16.53 loss:0.182 grdn:18.323 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 55 |
+
INFO 2025-10-15 16:21:45 ts/train.py:232 step:8K smpl:67K ep:85 epch:16.94 loss:0.178 grdn:18.158 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 56 |
+
INFO 2025-10-15 16:21:56 ts/train.py:232 step:9K smpl:69K ep:87 epch:17.34 loss:0.178 grdn:18.257 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 57 |
+
INFO 2025-10-15 16:22:06 ts/train.py:232 step:9K smpl:70K ep:89 epch:17.74 loss:0.170 grdn:17.660 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 58 |
+
INFO 2025-10-15 16:22:17 ts/train.py:232 step:9K smpl:72K ep:91 epch:18.15 loss:0.167 grdn:17.777 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 59 |
+
INFO 2025-10-15 16:22:27 ts/train.py:232 step:9K smpl:74K ep:93 epch:18.55 loss:0.164 grdn:17.579 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 60 |
+
INFO 2025-10-15 16:22:38 ts/train.py:232 step:9K smpl:75K ep:95 epch:18.95 loss:0.159 grdn:16.841 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 61 |
+
INFO 2025-10-15 16:22:48 ts/train.py:232 step:10K smpl:77K ep:97 epch:19.35 loss:0.158 grdn:16.681 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 62 |
+
INFO 2025-10-15 16:22:59 ts/train.py:232 step:10K smpl:78K ep:99 epch:19.76 loss:0.154 grdn:16.594 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 63 |
+
INFO 2025-10-15 16:23:09 ts/train.py:232 step:10K smpl:80K ep:101 epch:20.16 loss:0.153 grdn:16.787 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 64 |
+
INFO 2025-10-15 16:23:19 ts/train.py:232 step:10K smpl:82K ep:103 epch:20.56 loss:0.150 grdn:16.494 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 65 |
+
INFO 2025-10-15 16:23:30 ts/train.py:232 step:10K smpl:83K ep:105 epch:20.97 loss:0.150 grdn:16.516 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 66 |
+
INFO 2025-10-15 16:23:40 ts/train.py:232 step:11K smpl:85K ep:107 epch:21.37 loss:0.143 grdn:15.702 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 67 |
+
INFO 2025-10-15 16:23:50 ts/train.py:232 step:11K smpl:86K ep:109 epch:21.77 loss:0.142 grdn:16.298 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 68 |
+
INFO 2025-10-15 16:24:01 ts/train.py:232 step:11K smpl:88K ep:111 epch:22.18 loss:0.142 grdn:15.514 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 69 |
+
INFO 2025-10-15 16:24:11 ts/train.py:232 step:11K smpl:90K ep:113 epch:22.58 loss:0.137 grdn:15.717 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 70 |
+
INFO 2025-10-15 16:24:22 ts/train.py:232 step:11K smpl:91K ep:115 epch:22.98 loss:0.137 grdn:15.494 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 71 |
+
INFO 2025-10-15 16:24:32 ts/train.py:232 step:12K smpl:93K ep:117 epch:23.39 loss:0.137 grdn:15.363 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 72 |
+
INFO 2025-10-15 16:24:42 ts/train.py:232 step:12K smpl:94K ep:119 epch:23.79 loss:0.134 grdn:15.373 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 73 |
+
INFO 2025-10-15 16:24:53 ts/train.py:232 step:12K smpl:96K ep:121 epch:24.19 loss:0.133 grdn:15.715 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 74 |
+
INFO 2025-10-15 16:25:03 ts/train.py:232 step:12K smpl:98K ep:123 epch:24.60 loss:0.130 grdn:15.414 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 75 |
+
INFO 2025-10-15 16:25:14 ts/train.py:232 step:12K smpl:99K ep:125 epch:25.00 loss:0.129 grdn:14.751 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 76 |
+
INFO 2025-10-15 16:25:24 ts/train.py:232 step:13K smpl:101K ep:127 epch:25.40 loss:0.127 grdn:14.847 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 77 |
+
INFO 2025-10-15 16:25:35 ts/train.py:232 step:13K smpl:102K ep:129 epch:25.81 loss:0.123 grdn:14.401 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 78 |
+
INFO 2025-10-15 16:25:46 ts/train.py:232 step:13K smpl:104K ep:131 epch:26.21 loss:0.123 grdn:14.267 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 79 |
+
INFO 2025-10-15 16:25:56 ts/train.py:232 step:13K smpl:106K ep:133 epch:26.61 loss:0.121 grdn:14.271 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 80 |
+
INFO 2025-10-15 16:26:07 ts/train.py:232 step:13K smpl:107K ep:135 epch:27.02 loss:0.120 grdn:14.259 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 81 |
+
INFO 2025-10-15 16:26:18 ts/train.py:232 step:14K smpl:109K ep:137 epch:27.42 loss:0.119 grdn:14.909 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 82 |
+
INFO 2025-10-15 16:26:29 ts/train.py:232 step:14K smpl:110K ep:139 epch:27.82 loss:0.118 grdn:13.950 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 83 |
+
INFO 2025-10-15 16:26:40 ts/train.py:232 step:14K smpl:112K ep:141 epch:28.23 loss:0.115 grdn:13.838 lr:1.0e-05 updt_s:0.054 data_s:0.001
|
| 84 |
+
INFO 2025-10-15 16:26:51 ts/train.py:232 step:14K smpl:114K ep:143 epch:28.63 loss:0.115 grdn:14.097 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 85 |
+
INFO 2025-10-15 16:27:02 ts/train.py:232 step:14K smpl:115K ep:145 epch:29.03 loss:0.115 grdn:13.870 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 86 |
+
INFO 2025-10-15 16:27:13 ts/train.py:232 step:15K smpl:117K ep:147 epch:29.44 loss:0.113 grdn:13.710 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 87 |
+
INFO 2025-10-15 16:27:23 ts/train.py:232 step:15K smpl:118K ep:149 epch:29.84 loss:0.112 grdn:13.400 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 88 |
+
INFO 2025-10-15 16:27:34 ts/train.py:232 step:15K smpl:120K ep:151 epch:30.24 loss:0.110 grdn:13.271 lr:1.0e-05 updt_s:0.052 data_s:0.001
|
| 89 |
+
INFO 2025-10-15 16:27:45 ts/train.py:232 step:15K smpl:122K ep:153 epch:30.65 loss:0.108 grdn:13.820 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 90 |
+
INFO 2025-10-15 16:27:56 ts/train.py:232 step:15K smpl:123K ep:155 epch:31.05 loss:0.108 grdn:13.880 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 91 |
+
INFO 2025-10-15 16:28:07 ts/train.py:232 step:16K smpl:125K ep:157 epch:31.45 loss:0.107 grdn:13.463 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 92 |
+
INFO 2025-10-15 16:28:17 ts/train.py:232 step:16K smpl:126K ep:159 epch:31.85 loss:0.108 grdn:13.315 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 93 |
+
INFO 2025-10-15 16:28:28 ts/train.py:232 step:16K smpl:128K ep:161 epch:32.26 loss:0.107 grdn:12.816 lr:1.0e-05 updt_s:0.054 data_s:0.001
|
| 94 |
+
INFO 2025-10-15 16:28:39 ts/train.py:232 step:16K smpl:130K ep:163 epch:32.66 loss:0.104 grdn:13.108 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 95 |
+
INFO 2025-10-15 16:28:50 ts/train.py:232 step:16K smpl:131K ep:165 epch:33.06 loss:0.103 grdn:12.996 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 96 |
+
INFO 2025-10-15 16:29:01 ts/train.py:232 step:17K smpl:133K ep:167 epch:33.47 loss:0.104 grdn:13.168 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 97 |
+
INFO 2025-10-15 16:29:11 ts/train.py:232 step:17K smpl:134K ep:169 epch:33.87 loss:0.100 grdn:12.697 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 98 |
+
INFO 2025-10-15 16:29:23 ts/train.py:232 step:17K smpl:136K ep:171 epch:34.27 loss:0.103 grdn:12.955 lr:1.0e-05 updt_s:0.054 data_s:0.001
|
| 99 |
+
INFO 2025-10-15 16:29:34 ts/train.py:232 step:17K smpl:138K ep:173 epch:34.68 loss:0.100 grdn:12.466 lr:1.0e-05 updt_s:0.054 data_s:0.000
|
| 100 |
+
INFO 2025-10-15 16:29:44 ts/train.py:232 step:17K smpl:139K ep:175 epch:35.08 loss:0.098 grdn:12.342 lr:1.0e-05 updt_s:0.052 data_s:0.001
|
| 101 |
+
INFO 2025-10-15 16:29:55 ts/train.py:232 step:18K smpl:141K ep:177 epch:35.48 loss:0.099 grdn:12.125 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 102 |
+
INFO 2025-10-15 16:30:05 ts/train.py:232 step:18K smpl:142K ep:179 epch:35.89 loss:0.097 grdn:12.732 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 103 |
+
INFO 2025-10-15 16:30:16 ts/train.py:232 step:18K smpl:144K ep:181 epch:36.29 loss:0.095 grdn:12.253 lr:1.0e-05 updt_s:0.051 data_s:0.001
|
| 104 |
+
INFO 2025-10-15 16:30:26 ts/train.py:232 step:18K smpl:146K ep:183 epch:36.69 loss:0.095 grdn:12.249 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 105 |
+
INFO 2025-10-15 16:30:37 ts/train.py:232 step:18K smpl:147K ep:185 epch:37.10 loss:0.096 grdn:12.484 lr:1.0e-05 updt_s:0.052 data_s:0.001
|
| 106 |
+
INFO 2025-10-15 16:30:47 ts/train.py:232 step:19K smpl:149K ep:188 epch:37.50 loss:0.094 grdn:11.991 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 107 |
+
INFO 2025-10-15 16:30:58 ts/train.py:232 step:19K smpl:150K ep:190 epch:37.90 loss:0.096 grdn:12.987 lr:1.0e-05 updt_s:0.051 data_s:0.000
|
| 108 |
+
INFO 2025-10-15 16:31:09 ts/train.py:232 step:19K smpl:152K ep:192 epch:38.31 loss:0.095 grdn:12.272 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 109 |
+
INFO 2025-10-15 16:31:19 ts/train.py:232 step:19K smpl:154K ep:194 epch:38.71 loss:0.092 grdn:11.978 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 110 |
+
INFO 2025-10-15 16:31:30 ts/train.py:232 step:19K smpl:155K ep:196 epch:39.11 loss:0.091 grdn:11.640 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 111 |
+
INFO 2025-10-15 16:31:41 ts/train.py:232 step:20K smpl:157K ep:198 epch:39.52 loss:0.089 grdn:11.358 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 112 |
+
INFO 2025-10-15 16:31:52 ts/train.py:232 step:20K smpl:158K ep:200 epch:39.92 loss:0.092 grdn:12.022 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 113 |
+
INFO 2025-10-15 16:32:02 ts/train.py:232 step:20K smpl:160K ep:202 epch:40.32 loss:0.090 grdn:11.956 lr:1.0e-05 updt_s:0.052 data_s:0.001
|
| 114 |
+
INFO 2025-10-15 16:32:02 ts/train.py:241 Checkpoint policy after step 20000
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| 115 |
+
INFO 2025-10-15 16:32:14 ts/train.py:232 step:20K smpl:162K ep:204 epch:40.73 loss:0.088 grdn:11.422 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 116 |
+
INFO 2025-10-15 16:32:25 ts/train.py:232 step:20K smpl:163K ep:206 epch:41.13 loss:0.089 grdn:11.599 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 117 |
+
INFO 2025-10-15 16:32:36 ts/train.py:232 step:21K smpl:165K ep:208 epch:41.53 loss:0.086 grdn:11.131 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 118 |
+
INFO 2025-10-15 16:32:46 ts/train.py:232 step:21K smpl:166K ep:210 epch:41.94 loss:0.086 grdn:11.296 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 119 |
+
INFO 2025-10-15 16:32:57 ts/train.py:232 step:21K smpl:168K ep:212 epch:42.34 loss:0.088 grdn:11.785 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 120 |
+
INFO 2025-10-15 16:33:08 ts/train.py:232 step:21K smpl:170K ep:214 epch:42.74 loss:0.086 grdn:11.356 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 121 |
+
INFO 2025-10-15 16:33:19 ts/train.py:232 step:21K smpl:171K ep:216 epch:43.15 loss:0.087 grdn:11.269 lr:1.0e-05 updt_s:0.053 data_s:0.001
|
| 122 |
+
INFO 2025-10-15 16:33:30 ts/train.py:232 step:22K smpl:173K ep:218 epch:43.55 loss:0.085 grdn:11.863 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 123 |
+
INFO 2025-10-15 16:33:40 ts/train.py:232 step:22K smpl:174K ep:220 epch:43.95 loss:0.087 grdn:11.422 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 124 |
+
INFO 2025-10-15 16:33:51 ts/train.py:232 step:22K smpl:176K ep:222 epch:44.35 loss:0.084 grdn:11.801 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 125 |
+
INFO 2025-10-15 16:34:02 ts/train.py:232 step:22K smpl:178K ep:224 epch:44.76 loss:0.084 grdn:11.273 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 126 |
+
INFO 2025-10-15 16:34:13 ts/train.py:232 step:22K smpl:179K ep:226 epch:45.16 loss:0.083 grdn:11.384 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 127 |
+
INFO 2025-10-15 16:34:23 ts/train.py:232 step:23K smpl:181K ep:228 epch:45.56 loss:0.083 grdn:11.510 lr:1.0e-05 updt_s:0.053 data_s:0.000
|
| 128 |
+
INFO 2025-10-15 16:34:34 ts/train.py:232 step:23K smpl:182K ep:230 epch:45.97 loss:0.081 grdn:10.616 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 129 |
+
INFO 2025-10-15 16:34:45 ts/train.py:232 step:23K smpl:184K ep:232 epch:46.37 loss:0.082 grdn:10.840 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 130 |
+
INFO 2025-10-15 16:34:56 ts/train.py:232 step:23K smpl:186K ep:234 epch:46.77 loss:0.081 grdn:11.627 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 131 |
+
INFO 2025-10-15 16:35:07 ts/train.py:232 step:23K smpl:187K ep:236 epch:47.18 loss:0.079 grdn:10.418 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 132 |
+
INFO 2025-10-15 16:35:17 ts/train.py:232 step:24K smpl:189K ep:238 epch:47.58 loss:0.082 grdn:11.156 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 133 |
+
INFO 2025-10-15 16:35:28 ts/train.py:232 step:24K smpl:190K ep:240 epch:47.98 loss:0.079 grdn:10.114 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 134 |
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INFO 2025-10-15 16:35:39 ts/train.py:232 step:24K smpl:192K ep:242 epch:48.39 loss:0.080 grdn:11.149 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 135 |
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INFO 2025-10-15 16:35:49 ts/train.py:232 step:24K smpl:194K ep:244 epch:48.79 loss:0.079 grdn:10.933 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 136 |
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INFO 2025-10-15 16:36:00 ts/train.py:232 step:24K smpl:195K ep:246 epch:49.19 loss:0.080 grdn:11.305 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 137 |
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INFO 2025-10-15 16:36:11 ts/train.py:232 step:25K smpl:197K ep:248 epch:49.60 loss:0.076 grdn:9.919 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 138 |
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INFO 2025-10-15 16:36:22 ts/train.py:232 step:25K smpl:198K ep:250 epch:50.00 loss:0.076 grdn:10.016 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 139 |
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INFO 2025-10-15 16:36:33 ts/train.py:232 step:25K smpl:200K ep:252 epch:50.40 loss:0.078 grdn:10.640 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 140 |
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INFO 2025-10-15 16:36:43 ts/train.py:232 step:25K smpl:202K ep:254 epch:50.81 loss:0.079 grdn:10.510 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 141 |
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INFO 2025-10-15 16:36:54 ts/train.py:232 step:25K smpl:203K ep:256 epch:51.21 loss:0.077 grdn:10.589 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 142 |
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INFO 2025-10-15 16:37:05 ts/train.py:232 step:26K smpl:205K ep:258 epch:51.61 loss:0.077 grdn:10.428 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 143 |
+
INFO 2025-10-15 16:37:16 ts/train.py:232 step:26K smpl:206K ep:260 epch:52.02 loss:0.075 grdn:10.014 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 144 |
+
INFO 2025-10-15 16:37:26 ts/train.py:232 step:26K smpl:208K ep:262 epch:52.42 loss:0.075 grdn:10.785 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 145 |
+
INFO 2025-10-15 16:37:37 ts/train.py:232 step:26K smpl:210K ep:264 epch:52.82 loss:0.077 grdn:10.785 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 146 |
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INFO 2025-10-15 16:37:48 ts/train.py:232 step:26K smpl:211K ep:266 epch:53.23 loss:0.076 grdn:10.177 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 147 |
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INFO 2025-10-15 16:37:58 ts/train.py:232 step:27K smpl:213K ep:268 epch:53.63 loss:0.074 grdn:10.775 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:38:09 ts/train.py:232 step:27K smpl:214K ep:270 epch:54.03 loss:0.073 grdn:10.279 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:38:20 ts/train.py:232 step:27K smpl:216K ep:272 epch:54.44 loss:0.074 grdn:10.788 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 16:38:31 ts/train.py:232 step:27K smpl:218K ep:274 epch:54.84 loss:0.074 grdn:10.460 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:38:42 ts/train.py:232 step:27K smpl:219K ep:276 epch:55.24 loss:0.073 grdn:9.790 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:38:52 ts/train.py:232 step:28K smpl:221K ep:278 epch:55.65 loss:0.072 grdn:9.828 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:39:03 ts/train.py:232 step:28K smpl:222K ep:280 epch:56.05 loss:0.070 grdn:9.797 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:39:14 ts/train.py:232 step:28K smpl:224K ep:282 epch:56.45 loss:0.073 grdn:10.364 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:39:24 ts/train.py:232 step:28K smpl:226K ep:284 epch:56.85 loss:0.071 grdn:9.997 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 16:39:35 ts/train.py:232 step:28K smpl:227K ep:286 epch:57.26 loss:0.072 grdn:9.990 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:39:45 ts/train.py:232 step:29K smpl:229K ep:288 epch:57.66 loss:0.070 grdn:9.413 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:39:56 ts/train.py:232 step:29K smpl:230K ep:290 epch:58.06 loss:0.070 grdn:10.055 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:40:07 ts/train.py:232 step:29K smpl:232K ep:292 epch:58.47 loss:0.069 grdn:9.181 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:40:18 ts/train.py:232 step:29K smpl:234K ep:294 epch:58.87 loss:0.071 grdn:10.315 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:40:28 ts/train.py:232 step:29K smpl:235K ep:296 epch:59.27 loss:0.068 grdn:9.427 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:40:39 ts/train.py:232 step:30K smpl:237K ep:298 epch:59.68 loss:0.068 grdn:9.887 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:40:50 ts/train.py:232 step:30K smpl:238K ep:300 epch:60.08 loss:0.069 grdn:9.473 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:41:00 ts/train.py:232 step:30K smpl:240K ep:302 epch:60.48 loss:0.069 grdn:10.205 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:41:11 ts/train.py:232 step:30K smpl:242K ep:304 epch:60.89 loss:0.069 grdn:10.511 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:41:22 ts/train.py:232 step:30K smpl:243K ep:306 epch:61.29 loss:0.070 grdn:9.550 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:41:32 ts/train.py:232 step:31K smpl:245K ep:308 epch:61.69 loss:0.067 grdn:9.217 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:41:43 ts/train.py:232 step:31K smpl:246K ep:310 epch:62.10 loss:0.068 grdn:9.793 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:41:54 ts/train.py:232 step:31K smpl:248K ep:312 epch:62.50 loss:0.068 grdn:9.751 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:42:04 ts/train.py:232 step:31K smpl:250K ep:315 epch:62.90 loss:0.068 grdn:9.779 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:42:15 ts/train.py:232 step:31K smpl:251K ep:317 epch:63.31 loss:0.066 grdn:9.374 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:42:26 ts/train.py:232 step:32K smpl:253K ep:319 epch:63.71 loss:0.066 grdn:9.395 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:42:37 ts/train.py:232 step:32K smpl:254K ep:321 epch:64.11 loss:0.068 grdn:9.718 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:42:47 ts/train.py:232 step:32K smpl:256K ep:323 epch:64.52 loss:0.067 grdn:9.400 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:42:58 ts/train.py:232 step:32K smpl:258K ep:325 epch:64.92 loss:0.065 grdn:9.240 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:43:09 ts/train.py:232 step:32K smpl:259K ep:327 epch:65.32 loss:0.066 grdn:9.402 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:43:19 ts/train.py:232 step:33K smpl:261K ep:329 epch:65.73 loss:0.067 grdn:9.901 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:43:30 ts/train.py:232 step:33K smpl:262K ep:331 epch:66.13 loss:0.065 grdn:9.218 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:43:41 ts/train.py:232 step:33K smpl:264K ep:333 epch:66.53 loss:0.065 grdn:9.391 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:43:51 ts/train.py:232 step:33K smpl:266K ep:335 epch:66.94 loss:0.066 grdn:9.427 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 16:44:02 ts/train.py:232 step:33K smpl:267K ep:337 epch:67.34 loss:0.064 grdn:9.264 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:44:13 ts/train.py:232 step:34K smpl:269K ep:339 epch:67.74 loss:0.064 grdn:8.851 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:44:24 ts/train.py:232 step:34K smpl:270K ep:341 epch:68.15 loss:0.064 grdn:9.248 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:44:34 ts/train.py:232 step:34K smpl:272K ep:343 epch:68.55 loss:0.065 grdn:9.716 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:44:45 ts/train.py:232 step:34K smpl:274K ep:345 epch:68.95 loss:0.064 grdn:9.413 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:44:56 ts/train.py:232 step:34K smpl:275K ep:347 epch:69.35 loss:0.063 grdn:9.037 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:45:06 ts/train.py:232 step:35K smpl:277K ep:349 epch:69.76 loss:0.062 grdn:9.152 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:45:17 ts/train.py:232 step:35K smpl:278K ep:351 epch:70.16 loss:0.061 grdn:8.426 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:45:28 ts/train.py:232 step:35K smpl:280K ep:353 epch:70.56 loss:0.062 grdn:8.995 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:45:38 ts/train.py:232 step:35K smpl:282K ep:355 epch:70.97 loss:0.063 grdn:9.584 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:45:49 ts/train.py:232 step:35K smpl:283K ep:357 epch:71.37 loss:0.063 grdn:9.157 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:46:00 ts/train.py:232 step:36K smpl:285K ep:359 epch:71.77 loss:0.062 grdn:9.525 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:46:11 ts/train.py:232 step:36K smpl:286K ep:361 epch:72.18 loss:0.062 grdn:8.995 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:46:21 ts/train.py:232 step:36K smpl:288K ep:363 epch:72.58 loss:0.062 grdn:8.745 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:46:32 ts/train.py:232 step:36K smpl:290K ep:365 epch:72.98 loss:0.062 grdn:9.188 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:46:43 ts/train.py:232 step:36K smpl:291K ep:367 epch:73.39 loss:0.061 grdn:8.789 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:46:53 ts/train.py:232 step:37K smpl:293K ep:369 epch:73.79 loss:0.060 grdn:8.799 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:47:04 ts/train.py:232 step:37K smpl:294K ep:371 epch:74.19 loss:0.062 grdn:9.122 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:47:15 ts/train.py:232 step:37K smpl:296K ep:373 epch:74.60 loss:0.062 grdn:8.742 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:47:25 ts/train.py:232 step:37K smpl:298K ep:375 epch:75.00 loss:0.059 grdn:8.826 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:47:36 ts/train.py:232 step:37K smpl:299K ep:377 epch:75.40 loss:0.061 grdn:9.429 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:47:47 ts/train.py:232 step:38K smpl:301K ep:379 epch:75.81 loss:0.058 grdn:8.503 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:47:57 ts/train.py:232 step:38K smpl:302K ep:381 epch:76.21 loss:0.061 grdn:9.176 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:48:08 ts/train.py:232 step:38K smpl:304K ep:383 epch:76.61 loss:0.059 grdn:8.405 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:48:19 ts/train.py:232 step:38K smpl:306K ep:385 epch:77.02 loss:0.061 grdn:9.025 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:48:30 ts/train.py:232 step:38K smpl:307K ep:387 epch:77.42 loss:0.059 grdn:8.937 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:48:40 ts/train.py:232 step:39K smpl:309K ep:389 epch:77.82 loss:0.058 grdn:8.319 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:48:51 ts/train.py:232 step:39K smpl:310K ep:391 epch:78.23 loss:0.057 grdn:8.273 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:49:02 ts/train.py:232 step:39K smpl:312K ep:393 epch:78.63 loss:0.058 grdn:8.525 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:49:13 ts/train.py:232 step:39K smpl:314K ep:395 epch:79.03 loss:0.060 grdn:8.848 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:49:23 ts/train.py:232 step:39K smpl:315K ep:397 epch:79.44 loss:0.059 grdn:8.953 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:49:33 ts/train.py:232 step:40K smpl:317K ep:399 epch:79.84 loss:0.058 grdn:8.726 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:49:44 ts/train.py:232 step:40K smpl:318K ep:401 epch:80.24 loss:0.059 grdn:8.674 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:49:55 ts/train.py:232 step:40K smpl:320K ep:403 epch:80.65 loss:0.058 grdn:8.798 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:49:55 ts/train.py:241 Checkpoint policy after step 40000
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INFO 2025-10-15 16:50:07 ts/train.py:232 step:40K smpl:322K ep:405 epch:81.05 loss:0.058 grdn:8.722 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:50:18 ts/train.py:232 step:40K smpl:323K ep:407 epch:81.45 loss:0.058 grdn:8.199 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:50:29 ts/train.py:232 step:41K smpl:325K ep:409 epch:81.85 loss:0.058 grdn:8.984 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:50:39 ts/train.py:232 step:41K smpl:326K ep:411 epch:82.26 loss:0.059 grdn:9.154 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 16:50:50 ts/train.py:232 step:41K smpl:328K ep:413 epch:82.66 loss:0.057 grdn:9.110 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:51:00 ts/train.py:232 step:41K smpl:330K ep:415 epch:83.06 loss:0.056 grdn:8.846 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:51:11 ts/train.py:232 step:41K smpl:331K ep:417 epch:83.47 loss:0.058 grdn:8.729 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:51:22 ts/train.py:232 step:42K smpl:333K ep:419 epch:83.87 loss:0.057 grdn:8.771 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:51:33 ts/train.py:232 step:42K smpl:334K ep:421 epch:84.27 loss:0.057 grdn:9.029 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:51:43 ts/train.py:232 step:42K smpl:336K ep:423 epch:84.68 loss:0.056 grdn:8.372 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:51:54 ts/train.py:232 step:42K smpl:338K ep:425 epch:85.08 loss:0.057 grdn:8.531 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:52:05 ts/train.py:232 step:42K smpl:339K ep:427 epch:85.48 loss:0.056 grdn:9.070 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:52:15 ts/train.py:232 step:43K smpl:341K ep:429 epch:85.89 loss:0.056 grdn:8.380 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:52:26 ts/train.py:232 step:43K smpl:342K ep:431 epch:86.29 loss:0.055 grdn:7.980 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:52:37 ts/train.py:232 step:43K smpl:344K ep:433 epch:86.69 loss:0.055 grdn:8.665 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:52:48 ts/train.py:232 step:43K smpl:346K ep:435 epch:87.10 loss:0.055 grdn:8.474 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:52:58 ts/train.py:232 step:43K smpl:347K ep:438 epch:87.50 loss:0.054 grdn:8.205 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:53:09 ts/train.py:232 step:44K smpl:349K ep:440 epch:87.90 loss:0.057 grdn:8.675 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:53:20 ts/train.py:232 step:44K smpl:350K ep:442 epch:88.31 loss:0.056 grdn:8.702 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:53:30 ts/train.py:232 step:44K smpl:352K ep:444 epch:88.71 loss:0.054 grdn:8.165 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:53:41 ts/train.py:232 step:44K smpl:354K ep:446 epch:89.11 loss:0.057 grdn:8.628 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:53:52 ts/train.py:232 step:44K smpl:355K ep:448 epch:89.52 loss:0.055 grdn:8.039 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:54:02 ts/train.py:232 step:45K smpl:357K ep:450 epch:89.92 loss:0.054 grdn:8.198 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:54:13 ts/train.py:232 step:45K smpl:358K ep:452 epch:90.32 loss:0.055 grdn:8.604 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:54:24 ts/train.py:232 step:45K smpl:360K ep:454 epch:90.73 loss:0.055 grdn:8.086 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:54:35 ts/train.py:232 step:45K smpl:362K ep:456 epch:91.13 loss:0.053 grdn:8.277 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:54:45 ts/train.py:232 step:45K smpl:363K ep:458 epch:91.53 loss:0.054 grdn:8.195 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:54:56 ts/train.py:232 step:46K smpl:365K ep:460 epch:91.94 loss:0.053 grdn:7.579 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:55:07 ts/train.py:232 step:46K smpl:366K ep:462 epch:92.34 loss:0.054 grdn:8.607 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:55:17 ts/train.py:232 step:46K smpl:368K ep:464 epch:92.74 loss:0.053 grdn:7.894 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:55:28 ts/train.py:232 step:46K smpl:370K ep:466 epch:93.15 loss:0.053 grdn:7.817 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:55:39 ts/train.py:232 step:46K smpl:371K ep:468 epch:93.55 loss:0.053 grdn:8.088 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:55:49 ts/train.py:232 step:47K smpl:373K ep:470 epch:93.95 loss:0.052 grdn:7.962 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:56:00 ts/train.py:232 step:47K smpl:374K ep:472 epch:94.35 loss:0.054 grdn:8.577 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:56:11 ts/train.py:232 step:47K smpl:376K ep:474 epch:94.76 loss:0.051 grdn:7.876 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:56:22 ts/train.py:232 step:47K smpl:378K ep:476 epch:95.16 loss:0.051 grdn:7.657 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:56:32 ts/train.py:232 step:47K smpl:379K ep:478 epch:95.56 loss:0.053 grdn:8.034 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:56:43 ts/train.py:232 step:48K smpl:381K ep:480 epch:95.97 loss:0.053 grdn:8.389 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:56:54 ts/train.py:232 step:48K smpl:382K ep:482 epch:96.37 loss:0.053 grdn:8.270 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:57:04 ts/train.py:232 step:48K smpl:384K ep:484 epch:96.77 loss:0.052 grdn:8.040 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:57:15 ts/train.py:232 step:48K smpl:386K ep:486 epch:97.18 loss:0.053 grdn:8.171 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:57:26 ts/train.py:232 step:48K smpl:387K ep:488 epch:97.58 loss:0.051 grdn:8.279 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:57:36 ts/train.py:232 step:49K smpl:389K ep:490 epch:97.98 loss:0.052 grdn:7.920 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:57:47 ts/train.py:232 step:49K smpl:390K ep:492 epch:98.39 loss:0.053 grdn:7.653 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:57:58 ts/train.py:232 step:49K smpl:392K ep:494 epch:98.79 loss:0.051 grdn:7.846 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:58:09 ts/train.py:232 step:49K smpl:394K ep:496 epch:99.19 loss:0.052 grdn:7.946 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:58:19 ts/train.py:232 step:49K smpl:395K ep:498 epch:99.60 loss:0.052 grdn:8.532 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:58:30 ts/train.py:232 step:50K smpl:397K ep:500 epch:100.00 loss:0.051 grdn:8.321 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:58:41 ts/train.py:232 step:50K smpl:398K ep:502 epch:100.40 loss:0.051 grdn:8.232 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:58:51 ts/train.py:232 step:50K smpl:400K ep:504 epch:100.81 loss:0.051 grdn:8.851 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:59:02 ts/train.py:232 step:50K smpl:402K ep:506 epch:101.21 loss:0.052 grdn:8.067 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 16:59:13 ts/train.py:232 step:50K smpl:403K ep:508 epch:101.61 loss:0.052 grdn:7.852 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 16:59:24 ts/train.py:232 step:51K smpl:405K ep:510 epch:102.02 loss:0.051 grdn:8.319 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 16:59:34 ts/train.py:232 step:51K smpl:406K ep:512 epch:102.42 loss:0.050 grdn:8.259 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:59:45 ts/train.py:232 step:51K smpl:408K ep:514 epch:102.82 loss:0.049 grdn:7.416 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 16:59:56 ts/train.py:232 step:51K smpl:410K ep:516 epch:103.23 loss:0.051 grdn:7.993 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:00:06 ts/train.py:232 step:51K smpl:411K ep:518 epch:103.63 loss:0.050 grdn:7.553 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:00:17 ts/train.py:232 step:52K smpl:413K ep:520 epch:104.03 loss:0.050 grdn:7.708 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:00:28 ts/train.py:232 step:52K smpl:414K ep:522 epch:104.44 loss:0.050 grdn:7.732 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:00:39 ts/train.py:232 step:52K smpl:416K ep:524 epch:104.84 loss:0.050 grdn:7.849 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:00:49 ts/train.py:232 step:52K smpl:418K ep:526 epch:105.24 loss:0.050 grdn:7.878 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:01:00 ts/train.py:232 step:52K smpl:419K ep:528 epch:105.65 loss:0.051 grdn:8.065 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:01:11 ts/train.py:232 step:53K smpl:421K ep:530 epch:106.05 loss:0.049 grdn:8.010 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:01:22 ts/train.py:232 step:53K smpl:422K ep:532 epch:106.45 loss:0.049 grdn:7.636 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:01:32 ts/train.py:232 step:53K smpl:424K ep:534 epch:106.85 loss:0.050 grdn:8.129 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:01:43 ts/train.py:232 step:53K smpl:426K ep:536 epch:107.26 loss:0.050 grdn:8.397 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:01:54 ts/train.py:232 step:53K smpl:427K ep:538 epch:107.66 loss:0.049 grdn:7.562 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:02:04 ts/train.py:232 step:54K smpl:429K ep:540 epch:108.06 loss:0.049 grdn:7.950 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:02:15 ts/train.py:232 step:54K smpl:430K ep:542 epch:108.47 loss:0.049 grdn:7.752 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:02:26 ts/train.py:232 step:54K smpl:432K ep:544 epch:108.87 loss:0.048 grdn:7.078 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:02:36 ts/train.py:232 step:54K smpl:434K ep:546 epch:109.27 loss:0.050 grdn:7.712 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:02:47 ts/train.py:232 step:54K smpl:435K ep:548 epch:109.68 loss:0.049 grdn:7.559 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:02:58 ts/train.py:232 step:55K smpl:437K ep:550 epch:110.08 loss:0.050 grdn:7.904 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:03:09 ts/train.py:232 step:55K smpl:438K ep:552 epch:110.48 loss:0.049 grdn:7.607 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:03:19 ts/train.py:232 step:55K smpl:440K ep:554 epch:110.89 loss:0.048 grdn:8.146 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:03:30 ts/train.py:232 step:55K smpl:442K ep:556 epch:111.29 loss:0.049 grdn:7.477 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:03:41 ts/train.py:232 step:55K smpl:443K ep:558 epch:111.69 loss:0.049 grdn:8.194 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:03:51 ts/train.py:232 step:56K smpl:445K ep:560 epch:112.10 loss:0.048 grdn:8.030 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:04:02 ts/train.py:232 step:56K smpl:446K ep:562 epch:112.50 loss:0.049 grdn:8.435 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:04:13 ts/train.py:232 step:56K smpl:448K ep:565 epch:112.90 loss:0.048 grdn:7.768 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:04:24 ts/train.py:232 step:56K smpl:450K ep:567 epch:113.31 loss:0.049 grdn:7.648 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:04:34 ts/train.py:232 step:56K smpl:451K ep:569 epch:113.71 loss:0.047 grdn:7.792 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:04:45 ts/train.py:232 step:57K smpl:453K ep:571 epch:114.11 loss:0.048 grdn:7.635 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:04:56 ts/train.py:232 step:57K smpl:454K ep:573 epch:114.52 loss:0.048 grdn:7.624 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:05:06 ts/train.py:232 step:57K smpl:456K ep:575 epch:114.92 loss:0.048 grdn:7.764 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:05:17 ts/train.py:232 step:57K smpl:458K ep:577 epch:115.32 loss:0.047 grdn:7.498 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:05:28 ts/train.py:232 step:57K smpl:459K ep:579 epch:115.73 loss:0.047 grdn:7.858 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 17:05:39 ts/train.py:232 step:58K smpl:461K ep:581 epch:116.13 loss:0.048 grdn:7.856 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:05:50 ts/train.py:232 step:58K smpl:462K ep:583 epch:116.53 loss:0.048 grdn:8.013 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:06:00 ts/train.py:232 step:58K smpl:464K ep:585 epch:116.94 loss:0.047 grdn:7.704 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:06:11 ts/train.py:232 step:58K smpl:466K ep:587 epch:117.34 loss:0.047 grdn:7.552 lr:1.0e-05 updt_s:0.054 data_s:0.001
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INFO 2025-10-15 17:06:22 ts/train.py:232 step:58K smpl:467K ep:589 epch:117.74 loss:0.048 grdn:7.837 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:06:33 ts/train.py:232 step:59K smpl:469K ep:591 epch:118.15 loss:0.047 grdn:7.857 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:06:44 ts/train.py:232 step:59K smpl:470K ep:593 epch:118.55 loss:0.047 grdn:7.412 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:06:55 ts/train.py:232 step:59K smpl:472K ep:595 epch:118.95 loss:0.047 grdn:7.903 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:07:05 ts/train.py:232 step:59K smpl:474K ep:597 epch:119.35 loss:0.045 grdn:7.182 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:07:16 ts/train.py:232 step:59K smpl:475K ep:599 epch:119.76 loss:0.046 grdn:6.874 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 17:07:27 ts/train.py:232 step:60K smpl:477K ep:601 epch:120.16 loss:0.047 grdn:7.738 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:07:38 ts/train.py:232 step:60K smpl:478K ep:603 epch:120.56 loss:0.047 grdn:7.852 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:07:49 ts/train.py:232 step:60K smpl:480K ep:605 epch:120.97 loss:0.047 grdn:7.251 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:07:49 ts/train.py:241 Checkpoint policy after step 60000
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INFO 2025-10-15 17:08:02 ts/train.py:232 step:60K smpl:482K ep:607 epch:121.37 loss:0.046 grdn:7.117 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:08:12 ts/train.py:232 step:60K smpl:483K ep:609 epch:121.77 loss:0.046 grdn:7.750 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:08:23 ts/train.py:232 step:61K smpl:485K ep:611 epch:122.18 loss:0.045 grdn:7.318 lr:1.0e-05 updt_s:0.054 data_s:0.001
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INFO 2025-10-15 17:08:34 ts/train.py:232 step:61K smpl:486K ep:613 epch:122.58 loss:0.046 grdn:7.343 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:08:45 ts/train.py:232 step:61K smpl:488K ep:615 epch:122.98 loss:0.045 grdn:7.394 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:08:56 ts/train.py:232 step:61K smpl:490K ep:617 epch:123.39 loss:0.045 grdn:7.605 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:09:06 ts/train.py:232 step:61K smpl:491K ep:619 epch:123.79 loss:0.045 grdn:7.170 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:09:17 ts/train.py:232 step:62K smpl:493K ep:621 epch:124.19 loss:0.046 grdn:7.432 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:09:28 ts/train.py:232 step:62K smpl:494K ep:623 epch:124.60 loss:0.046 grdn:7.292 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:09:39 ts/train.py:232 step:62K smpl:496K ep:625 epch:125.00 loss:0.044 grdn:6.648 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 17:09:50 ts/train.py:232 step:62K smpl:498K ep:627 epch:125.40 loss:0.045 grdn:7.401 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:10:00 ts/train.py:232 step:62K smpl:499K ep:629 epch:125.81 loss:0.046 grdn:7.954 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:10:11 ts/train.py:232 step:63K smpl:501K ep:631 epch:126.21 loss:0.046 grdn:7.460 lr:1.0e-05 updt_s:0.054 data_s:0.001
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INFO 2025-10-15 17:10:23 ts/train.py:232 step:63K smpl:502K ep:633 epch:126.61 loss:0.045 grdn:7.212 lr:1.0e-05 updt_s:0.055 data_s:0.000
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INFO 2025-10-15 17:10:34 ts/train.py:232 step:63K smpl:504K ep:635 epch:127.02 loss:0.045 grdn:7.041 lr:1.0e-05 updt_s:0.056 data_s:0.001
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INFO 2025-10-15 17:10:45 ts/train.py:232 step:63K smpl:506K ep:637 epch:127.42 loss:0.045 grdn:7.117 lr:1.0e-05 updt_s:0.055 data_s:0.000
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INFO 2025-10-15 17:10:57 ts/train.py:232 step:63K smpl:507K ep:639 epch:127.82 loss:0.044 grdn:6.989 lr:1.0e-05 updt_s:0.056 data_s:0.000
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INFO 2025-10-15 17:11:08 ts/train.py:232 step:64K smpl:509K ep:641 epch:128.23 loss:0.044 grdn:6.641 lr:1.0e-05 updt_s:0.055 data_s:0.001
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INFO 2025-10-15 17:11:19 ts/train.py:232 step:64K smpl:510K ep:643 epch:128.63 loss:0.045 grdn:7.200 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 17:11:30 ts/train.py:232 step:64K smpl:512K ep:645 epch:129.03 loss:0.045 grdn:7.226 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:11:41 ts/train.py:232 step:64K smpl:514K ep:647 epch:129.44 loss:0.044 grdn:7.033 lr:1.0e-05 updt_s:0.054 data_s:0.000
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INFO 2025-10-15 17:11:52 ts/train.py:232 step:64K smpl:515K ep:649 epch:129.84 loss:0.045 grdn:7.393 lr:1.0e-05 updt_s:0.056 data_s:0.000
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INFO 2025-10-15 17:12:03 ts/train.py:232 step:65K smpl:517K ep:651 epch:130.24 loss:0.044 grdn:7.288 lr:1.0e-05 updt_s:0.055 data_s:0.001
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INFO 2025-10-15 17:12:15 ts/train.py:232 step:65K smpl:518K ep:653 epch:130.65 loss:0.044 grdn:7.329 lr:1.0e-05 updt_s:0.056 data_s:0.000
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INFO 2025-10-15 17:12:26 ts/train.py:232 step:65K smpl:520K ep:655 epch:131.05 loss:0.044 grdn:7.543 lr:1.0e-05 updt_s:0.055 data_s:0.001
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INFO 2025-10-15 17:12:37 ts/train.py:232 step:65K smpl:522K ep:657 epch:131.45 loss:0.044 grdn:7.284 lr:1.0e-05 updt_s:0.056 data_s:0.000
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INFO 2025-10-15 17:12:48 ts/train.py:232 step:65K smpl:523K ep:659 epch:131.85 loss:0.044 grdn:7.355 lr:1.0e-05 updt_s:0.055 data_s:0.000
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INFO 2025-10-15 17:13:00 ts/train.py:232 step:66K smpl:525K ep:661 epch:132.26 loss:0.044 grdn:6.832 lr:1.0e-05 updt_s:0.055 data_s:0.001
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INFO 2025-10-15 17:13:11 ts/train.py:232 step:66K smpl:526K ep:663 epch:132.66 loss:0.045 grdn:7.216 lr:1.0e-05 updt_s:0.055 data_s:0.000
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INFO 2025-10-15 17:13:22 ts/train.py:232 step:66K smpl:528K ep:665 epch:133.06 loss:0.043 grdn:7.315 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:13:32 ts/train.py:232 step:66K smpl:530K ep:667 epch:133.47 loss:0.044 grdn:7.762 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 348 |
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INFO 2025-10-15 17:13:43 ts/train.py:232 step:66K smpl:531K ep:669 epch:133.87 loss:0.043 grdn:6.824 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:13:54 ts/train.py:232 step:67K smpl:533K ep:671 epch:134.27 loss:0.045 grdn:7.492 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:14:04 ts/train.py:232 step:67K smpl:534K ep:673 epch:134.68 loss:0.042 grdn:7.225 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 351 |
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INFO 2025-10-15 17:14:15 ts/train.py:232 step:67K smpl:536K ep:675 epch:135.08 loss:0.043 grdn:7.041 lr:1.0e-05 updt_s:0.053 data_s:0.001
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INFO 2025-10-15 17:14:26 ts/train.py:232 step:67K smpl:538K ep:677 epch:135.48 loss:0.043 grdn:7.277 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 353 |
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INFO 2025-10-15 17:14:36 ts/train.py:232 step:67K smpl:539K ep:679 epch:135.89 loss:0.044 grdn:7.094 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:14:47 ts/train.py:232 step:68K smpl:541K ep:681 epch:136.29 loss:0.044 grdn:7.789 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 355 |
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INFO 2025-10-15 17:14:57 ts/train.py:232 step:68K smpl:542K ep:683 epch:136.69 loss:0.044 grdn:7.237 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 356 |
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INFO 2025-10-15 17:15:08 ts/train.py:232 step:68K smpl:544K ep:685 epch:137.10 loss:0.045 grdn:7.910 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 357 |
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INFO 2025-10-15 17:15:19 ts/train.py:232 step:68K smpl:546K ep:688 epch:137.50 loss:0.043 grdn:7.768 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 358 |
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INFO 2025-10-15 17:15:29 ts/train.py:232 step:68K smpl:547K ep:690 epch:137.90 loss:0.043 grdn:7.470 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:15:40 ts/train.py:232 step:69K smpl:549K ep:692 epch:138.31 loss:0.043 grdn:7.640 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 360 |
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INFO 2025-10-15 17:15:51 ts/train.py:232 step:69K smpl:550K ep:694 epch:138.71 loss:0.043 grdn:7.178 lr:1.0e-05 updt_s:0.054 data_s:0.000
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| 361 |
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INFO 2025-10-15 17:16:02 ts/train.py:232 step:69K smpl:552K ep:696 epch:139.11 loss:0.042 grdn:7.100 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 362 |
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INFO 2025-10-15 17:16:13 ts/train.py:232 step:69K smpl:554K ep:698 epch:139.52 loss:0.042 grdn:7.270 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 363 |
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INFO 2025-10-15 17:16:23 ts/train.py:232 step:69K smpl:555K ep:700 epch:139.92 loss:0.043 grdn:7.254 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 364 |
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INFO 2025-10-15 17:16:34 ts/train.py:232 step:70K smpl:557K ep:702 epch:140.32 loss:0.042 grdn:7.093 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 365 |
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INFO 2025-10-15 17:16:45 ts/train.py:232 step:70K smpl:558K ep:704 epch:140.73 loss:0.043 grdn:6.934 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 366 |
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INFO 2025-10-15 17:16:55 ts/train.py:232 step:70K smpl:560K ep:706 epch:141.13 loss:0.043 grdn:7.284 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 367 |
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INFO 2025-10-15 17:17:06 ts/train.py:232 step:70K smpl:562K ep:708 epch:141.53 loss:0.043 grdn:7.463 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 368 |
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INFO 2025-10-15 17:17:16 ts/train.py:232 step:70K smpl:563K ep:710 epch:141.94 loss:0.043 grdn:7.187 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 369 |
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INFO 2025-10-15 17:17:27 ts/train.py:232 step:71K smpl:565K ep:712 epch:142.34 loss:0.042 grdn:6.547 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 370 |
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INFO 2025-10-15 17:17:37 ts/train.py:232 step:71K smpl:566K ep:714 epch:142.74 loss:0.042 grdn:7.202 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 371 |
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INFO 2025-10-15 17:17:48 ts/train.py:232 step:71K smpl:568K ep:716 epch:143.15 loss:0.042 grdn:7.026 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 372 |
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INFO 2025-10-15 17:17:58 ts/train.py:232 step:71K smpl:570K ep:718 epch:143.55 loss:0.042 grdn:7.225 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 373 |
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INFO 2025-10-15 17:18:09 ts/train.py:232 step:71K smpl:571K ep:720 epch:143.95 loss:0.042 grdn:7.016 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 374 |
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INFO 2025-10-15 17:18:20 ts/train.py:232 step:72K smpl:573K ep:722 epch:144.35 loss:0.042 grdn:7.154 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 375 |
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INFO 2025-10-15 17:18:30 ts/train.py:232 step:72K smpl:574K ep:724 epch:144.76 loss:0.043 grdn:7.689 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 376 |
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INFO 2025-10-15 17:18:41 ts/train.py:232 step:72K smpl:576K ep:726 epch:145.16 loss:0.043 grdn:7.349 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 377 |
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INFO 2025-10-15 17:18:51 ts/train.py:232 step:72K smpl:578K ep:728 epch:145.56 loss:0.042 grdn:7.028 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 378 |
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INFO 2025-10-15 17:19:02 ts/train.py:232 step:72K smpl:579K ep:730 epch:145.97 loss:0.042 grdn:6.778 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 379 |
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INFO 2025-10-15 17:19:12 ts/train.py:232 step:73K smpl:581K ep:732 epch:146.37 loss:0.041 grdn:7.220 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 380 |
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INFO 2025-10-15 17:19:23 ts/train.py:232 step:73K smpl:582K ep:734 epch:146.77 loss:0.042 grdn:7.454 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 381 |
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INFO 2025-10-15 17:19:33 ts/train.py:232 step:73K smpl:584K ep:736 epch:147.18 loss:0.042 grdn:6.871 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 382 |
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INFO 2025-10-15 17:19:44 ts/train.py:232 step:73K smpl:586K ep:738 epch:147.58 loss:0.042 grdn:7.621 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 383 |
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INFO 2025-10-15 17:19:54 ts/train.py:232 step:73K smpl:587K ep:740 epch:147.98 loss:0.042 grdn:7.274 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 384 |
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INFO 2025-10-15 17:20:05 ts/train.py:232 step:74K smpl:589K ep:742 epch:148.39 loss:0.041 grdn:6.929 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 385 |
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INFO 2025-10-15 17:20:16 ts/train.py:232 step:74K smpl:590K ep:744 epch:148.79 loss:0.041 grdn:6.667 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 386 |
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INFO 2025-10-15 17:20:26 ts/train.py:232 step:74K smpl:592K ep:746 epch:149.19 loss:0.041 grdn:6.870 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 387 |
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INFO 2025-10-15 17:20:37 ts/train.py:232 step:74K smpl:594K ep:748 epch:149.60 loss:0.042 grdn:6.961 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 388 |
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INFO 2025-10-15 17:20:47 ts/train.py:232 step:74K smpl:595K ep:750 epch:150.00 loss:0.041 grdn:6.569 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 389 |
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INFO 2025-10-15 17:20:58 ts/train.py:232 step:75K smpl:597K ep:752 epch:150.40 loss:0.042 grdn:7.630 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 390 |
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INFO 2025-10-15 17:21:08 ts/train.py:232 step:75K smpl:598K ep:754 epch:150.81 loss:0.041 grdn:6.752 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 391 |
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INFO 2025-10-15 17:21:19 ts/train.py:232 step:75K smpl:600K ep:756 epch:151.21 loss:0.040 grdn:7.127 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 392 |
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INFO 2025-10-15 17:21:29 ts/train.py:232 step:75K smpl:602K ep:758 epch:151.61 loss:0.040 grdn:7.116 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 393 |
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INFO 2025-10-15 17:21:40 ts/train.py:232 step:75K smpl:603K ep:760 epch:152.02 loss:0.040 grdn:6.505 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 394 |
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INFO 2025-10-15 17:21:51 ts/train.py:232 step:76K smpl:605K ep:762 epch:152.42 loss:0.041 grdn:6.716 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 395 |
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INFO 2025-10-15 17:22:01 ts/train.py:232 step:76K smpl:606K ep:764 epch:152.82 loss:0.041 grdn:7.110 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 396 |
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INFO 2025-10-15 17:22:12 ts/train.py:232 step:76K smpl:608K ep:766 epch:153.23 loss:0.041 grdn:6.542 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 397 |
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INFO 2025-10-15 17:22:22 ts/train.py:232 step:76K smpl:610K ep:768 epch:153.63 loss:0.040 grdn:6.668 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 398 |
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INFO 2025-10-15 17:22:32 ts/train.py:232 step:76K smpl:611K ep:770 epch:154.03 loss:0.042 grdn:7.339 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 399 |
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INFO 2025-10-15 17:22:43 ts/train.py:232 step:77K smpl:613K ep:772 epch:154.44 loss:0.040 grdn:7.340 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 400 |
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INFO 2025-10-15 17:22:53 ts/train.py:232 step:77K smpl:614K ep:774 epch:154.84 loss:0.040 grdn:6.540 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 401 |
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INFO 2025-10-15 17:23:04 ts/train.py:232 step:77K smpl:616K ep:776 epch:155.24 loss:0.041 grdn:7.242 lr:1.0e-05 updt_s:0.050 data_s:0.001
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| 402 |
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INFO 2025-10-15 17:23:14 ts/train.py:232 step:77K smpl:618K ep:778 epch:155.65 loss:0.040 grdn:6.410 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 403 |
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INFO 2025-10-15 17:23:25 ts/train.py:232 step:77K smpl:619K ep:780 epch:156.05 loss:0.040 grdn:6.851 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 404 |
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INFO 2025-10-15 17:23:35 ts/train.py:232 step:78K smpl:621K ep:782 epch:156.45 loss:0.040 grdn:6.648 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 405 |
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INFO 2025-10-15 17:23:45 ts/train.py:232 step:78K smpl:622K ep:784 epch:156.85 loss:0.040 grdn:7.018 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 406 |
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INFO 2025-10-15 17:23:56 ts/train.py:232 step:78K smpl:624K ep:786 epch:157.26 loss:0.040 grdn:6.690 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 407 |
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INFO 2025-10-15 17:24:06 ts/train.py:232 step:78K smpl:626K ep:788 epch:157.66 loss:0.040 grdn:6.704 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 408 |
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INFO 2025-10-15 17:24:17 ts/train.py:232 step:78K smpl:627K ep:790 epch:158.06 loss:0.039 grdn:6.806 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 409 |
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INFO 2025-10-15 17:24:27 ts/train.py:232 step:79K smpl:629K ep:792 epch:158.47 loss:0.039 grdn:6.399 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 410 |
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INFO 2025-10-15 17:24:37 ts/train.py:232 step:79K smpl:630K ep:794 epch:158.87 loss:0.039 grdn:6.275 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 411 |
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INFO 2025-10-15 17:24:48 ts/train.py:232 step:79K smpl:632K ep:796 epch:159.27 loss:0.040 grdn:6.866 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 412 |
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INFO 2025-10-15 17:24:58 ts/train.py:232 step:79K smpl:634K ep:798 epch:159.68 loss:0.040 grdn:7.006 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 413 |
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INFO 2025-10-15 17:25:09 ts/train.py:232 step:79K smpl:635K ep:800 epch:160.08 loss:0.040 grdn:6.866 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 414 |
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INFO 2025-10-15 17:25:19 ts/train.py:232 step:80K smpl:637K ep:802 epch:160.48 loss:0.040 grdn:7.368 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 415 |
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INFO 2025-10-15 17:25:29 ts/train.py:232 step:80K smpl:638K ep:804 epch:160.89 loss:0.039 grdn:6.442 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 416 |
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INFO 2025-10-15 17:25:40 ts/train.py:232 step:80K smpl:640K ep:806 epch:161.29 loss:0.040 grdn:6.832 lr:1.0e-05 updt_s:0.050 data_s:0.001
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| 417 |
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INFO 2025-10-15 17:25:40 ts/train.py:241 Checkpoint policy after step 80000
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| 418 |
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INFO 2025-10-15 17:25:52 ts/train.py:232 step:80K smpl:642K ep:808 epch:161.69 loss:0.040 grdn:6.860 lr:1.0e-05 updt_s:0.051 data_s:0.000
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| 419 |
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INFO 2025-10-15 17:26:02 ts/train.py:232 step:80K smpl:643K ep:810 epch:162.10 loss:0.040 grdn:7.672 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 420 |
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INFO 2025-10-15 17:26:13 ts/train.py:232 step:81K smpl:645K ep:812 epch:162.50 loss:0.040 grdn:7.055 lr:1.0e-05 updt_s:0.052 data_s:0.000
|
| 421 |
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INFO 2025-10-15 17:26:23 ts/train.py:232 step:81K smpl:646K ep:815 epch:162.90 loss:0.039 grdn:6.652 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 422 |
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INFO 2025-10-15 17:26:34 ts/train.py:232 step:81K smpl:648K ep:817 epch:163.31 loss:0.040 grdn:6.942 lr:1.0e-05 updt_s:0.053 data_s:0.001
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| 423 |
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INFO 2025-10-15 17:26:44 ts/train.py:232 step:81K smpl:650K ep:819 epch:163.71 loss:0.040 grdn:7.507 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 424 |
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INFO 2025-10-15 17:26:55 ts/train.py:232 step:81K smpl:651K ep:821 epch:164.11 loss:0.039 grdn:7.133 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 425 |
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INFO 2025-10-15 17:27:06 ts/train.py:232 step:82K smpl:653K ep:823 epch:164.52 loss:0.039 grdn:6.597 lr:1.0e-05 updt_s:0.053 data_s:0.000
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| 426 |
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INFO 2025-10-15 17:27:16 ts/train.py:232 step:82K smpl:654K ep:825 epch:164.92 loss:0.040 grdn:6.930 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 427 |
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INFO 2025-10-15 17:27:27 ts/train.py:232 step:82K smpl:656K ep:827 epch:165.32 loss:0.038 grdn:6.728 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 428 |
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INFO 2025-10-15 17:27:37 ts/train.py:232 step:82K smpl:658K ep:829 epch:165.73 loss:0.039 grdn:6.591 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 429 |
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INFO 2025-10-15 17:27:48 ts/train.py:232 step:82K smpl:659K ep:831 epch:166.13 loss:0.040 grdn:7.226 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 430 |
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INFO 2025-10-15 17:27:59 ts/train.py:232 step:83K smpl:661K ep:833 epch:166.53 loss:0.039 grdn:6.919 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 431 |
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INFO 2025-10-15 17:28:09 ts/train.py:232 step:83K smpl:662K ep:835 epch:166.94 loss:0.038 grdn:6.423 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 432 |
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INFO 2025-10-15 17:28:20 ts/train.py:232 step:83K smpl:664K ep:837 epch:167.34 loss:0.039 grdn:6.833 lr:1.0e-05 updt_s:0.051 data_s:0.001
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| 433 |
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INFO 2025-10-15 17:28:30 ts/train.py:232 step:83K smpl:666K ep:839 epch:167.74 loss:0.039 grdn:6.462 lr:1.0e-05 updt_s:0.052 data_s:0.000
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| 434 |
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INFO 2025-10-15 17:28:41 ts/train.py:232 step:83K smpl:667K ep:841 epch:168.15 loss:0.039 grdn:6.580 lr:1.0e-05 updt_s:0.052 data_s:0.001
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| 435 |
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INFO 2025-10-15 17:28:51 ts/train.py:232 step:84K smpl:669K ep:843 epch:168.55 loss:0.038 grdn:7.101 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:29:02 ts/train.py:232 step:84K smpl:670K ep:845 epch:168.95 loss:0.038 grdn:6.583 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:29:12 ts/train.py:232 step:84K smpl:672K ep:847 epch:169.35 loss:0.038 grdn:6.554 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:29:23 ts/train.py:232 step:84K smpl:674K ep:849 epch:169.76 loss:0.039 grdn:6.560 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:29:33 ts/train.py:232 step:84K smpl:675K ep:851 epch:170.16 loss:0.038 grdn:6.208 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:29:44 ts/train.py:232 step:85K smpl:677K ep:853 epch:170.56 loss:0.039 grdn:6.759 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:29:54 ts/train.py:232 step:85K smpl:678K ep:855 epch:170.97 loss:0.038 grdn:6.157 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:30:05 ts/train.py:232 step:85K smpl:680K ep:857 epch:171.37 loss:0.038 grdn:6.572 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:30:15 ts/train.py:232 step:85K smpl:682K ep:859 epch:171.77 loss:0.038 grdn:6.592 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:30:26 ts/train.py:232 step:85K smpl:683K ep:861 epch:172.18 loss:0.038 grdn:6.525 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:30:36 ts/train.py:232 step:86K smpl:685K ep:863 epch:172.58 loss:0.039 grdn:6.783 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:30:47 ts/train.py:232 step:86K smpl:686K ep:865 epch:172.98 loss:0.038 grdn:6.133 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:30:58 ts/train.py:232 step:86K smpl:688K ep:867 epch:173.39 loss:0.038 grdn:6.838 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:31:08 ts/train.py:232 step:86K smpl:690K ep:869 epch:173.79 loss:0.038 grdn:6.607 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:31:19 ts/train.py:232 step:86K smpl:691K ep:871 epch:174.19 loss:0.039 grdn:7.372 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:31:29 ts/train.py:232 step:87K smpl:693K ep:873 epch:174.60 loss:0.038 grdn:6.667 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:31:39 ts/train.py:232 step:87K smpl:694K ep:875 epch:175.00 loss:0.038 grdn:6.997 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:31:50 ts/train.py:232 step:87K smpl:696K ep:877 epch:175.40 loss:0.038 grdn:7.060 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:32:01 ts/train.py:232 step:87K smpl:698K ep:879 epch:175.81 loss:0.038 grdn:6.673 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:32:11 ts/train.py:232 step:87K smpl:699K ep:881 epch:176.21 loss:0.038 grdn:6.659 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:32:22 ts/train.py:232 step:88K smpl:701K ep:883 epch:176.61 loss:0.038 grdn:6.736 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:32:32 ts/train.py:232 step:88K smpl:702K ep:885 epch:177.02 loss:0.037 grdn:6.682 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:32:43 ts/train.py:232 step:88K smpl:704K ep:887 epch:177.42 loss:0.037 grdn:6.817 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:32:53 ts/train.py:232 step:88K smpl:706K ep:889 epch:177.82 loss:0.037 grdn:6.377 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:33:04 ts/train.py:232 step:88K smpl:707K ep:891 epch:178.23 loss:0.036 grdn:6.215 lr:1.0e-05 updt_s:0.052 data_s:0.002
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INFO 2025-10-15 17:33:15 ts/train.py:232 step:89K smpl:709K ep:893 epch:178.63 loss:0.038 grdn:6.936 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:33:25 ts/train.py:232 step:89K smpl:710K ep:895 epch:179.03 loss:0.038 grdn:6.713 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:33:36 ts/train.py:232 step:89K smpl:712K ep:897 epch:179.44 loss:0.038 grdn:6.612 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:33:46 ts/train.py:232 step:89K smpl:714K ep:899 epch:179.84 loss:0.037 grdn:6.597 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:33:57 ts/train.py:232 step:89K smpl:715K ep:901 epch:180.24 loss:0.037 grdn:6.521 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:34:07 ts/train.py:232 step:90K smpl:717K ep:903 epch:180.65 loss:0.037 grdn:6.326 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:34:18 ts/train.py:232 step:90K smpl:718K ep:905 epch:181.05 loss:0.037 grdn:6.679 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:34:28 ts/train.py:232 step:90K smpl:720K ep:907 epch:181.45 loss:0.037 grdn:6.568 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:34:39 ts/train.py:232 step:90K smpl:722K ep:909 epch:181.85 loss:0.037 grdn:6.865 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:34:49 ts/train.py:232 step:90K smpl:723K ep:911 epch:182.26 loss:0.037 grdn:6.656 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:34:59 ts/train.py:232 step:91K smpl:725K ep:913 epch:182.66 loss:0.037 grdn:6.313 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:35:10 ts/train.py:232 step:91K smpl:726K ep:915 epch:183.06 loss:0.036 grdn:6.361 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:35:21 ts/train.py:232 step:91K smpl:728K ep:917 epch:183.47 loss:0.036 grdn:6.645 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:35:31 ts/train.py:232 step:91K smpl:730K ep:919 epch:183.87 loss:0.037 grdn:6.791 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:35:42 ts/train.py:232 step:91K smpl:731K ep:921 epch:184.27 loss:0.037 grdn:6.247 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:35:52 ts/train.py:232 step:92K smpl:733K ep:923 epch:184.68 loss:0.037 grdn:6.975 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:36:03 ts/train.py:232 step:92K smpl:734K ep:925 epch:185.08 loss:0.036 grdn:6.382 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:36:13 ts/train.py:232 step:92K smpl:736K ep:927 epch:185.48 loss:0.037 grdn:7.006 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:36:24 ts/train.py:232 step:92K smpl:738K ep:929 epch:185.89 loss:0.036 grdn:6.569 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:36:34 ts/train.py:232 step:92K smpl:739K ep:931 epch:186.29 loss:0.037 grdn:6.632 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:36:45 ts/train.py:232 step:93K smpl:741K ep:933 epch:186.69 loss:0.036 grdn:6.222 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:36:55 ts/train.py:232 step:93K smpl:742K ep:935 epch:187.10 loss:0.036 grdn:6.470 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:37:06 ts/train.py:232 step:93K smpl:744K ep:938 epch:187.50 loss:0.037 grdn:6.447 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:37:16 ts/train.py:232 step:93K smpl:746K ep:940 epch:187.90 loss:0.036 grdn:6.309 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:37:27 ts/train.py:232 step:93K smpl:747K ep:942 epch:188.31 loss:0.037 grdn:6.867 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:37:38 ts/train.py:232 step:94K smpl:749K ep:944 epch:188.71 loss:0.037 grdn:6.890 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:37:48 ts/train.py:232 step:94K smpl:750K ep:946 epch:189.11 loss:0.036 grdn:6.148 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:37:58 ts/train.py:232 step:94K smpl:752K ep:948 epch:189.52 loss:0.037 grdn:6.920 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:38:09 ts/train.py:232 step:94K smpl:754K ep:950 epch:189.92 loss:0.036 grdn:6.849 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:38:20 ts/train.py:232 step:94K smpl:755K ep:952 epch:190.32 loss:0.036 grdn:6.444 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:38:30 ts/train.py:232 step:95K smpl:757K ep:954 epch:190.73 loss:0.036 grdn:6.526 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:38:41 ts/train.py:232 step:95K smpl:758K ep:956 epch:191.13 loss:0.036 grdn:6.631 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:38:51 ts/train.py:232 step:95K smpl:760K ep:958 epch:191.53 loss:0.037 grdn:7.347 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:39:01 ts/train.py:232 step:95K smpl:762K ep:960 epch:191.94 loss:0.037 grdn:6.983 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:39:12 ts/train.py:232 step:95K smpl:763K ep:962 epch:192.34 loss:0.037 grdn:6.541 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:39:23 ts/train.py:232 step:96K smpl:765K ep:964 epch:192.74 loss:0.036 grdn:6.872 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:39:33 ts/train.py:232 step:96K smpl:766K ep:966 epch:193.15 loss:0.036 grdn:7.052 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:39:44 ts/train.py:232 step:96K smpl:768K ep:968 epch:193.55 loss:0.036 grdn:6.347 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:39:54 ts/train.py:232 step:96K smpl:770K ep:970 epch:193.95 loss:0.036 grdn:6.712 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:40:05 ts/train.py:232 step:96K smpl:771K ep:972 epch:194.35 loss:0.035 grdn:6.582 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:40:15 ts/train.py:232 step:97K smpl:773K ep:974 epch:194.76 loss:0.036 grdn:6.198 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:40:26 ts/train.py:232 step:97K smpl:774K ep:976 epch:195.16 loss:0.037 grdn:7.032 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:40:36 ts/train.py:232 step:97K smpl:776K ep:978 epch:195.56 loss:0.035 grdn:5.991 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:40:47 ts/train.py:232 step:97K smpl:778K ep:980 epch:195.97 loss:0.036 grdn:6.608 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:40:58 ts/train.py:232 step:97K smpl:779K ep:982 epch:196.37 loss:0.035 grdn:5.899 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:41:08 ts/train.py:232 step:98K smpl:781K ep:984 epch:196.77 loss:0.036 grdn:6.117 lr:1.0e-05 updt_s:0.053 data_s:0.000
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INFO 2025-10-15 17:41:19 ts/train.py:232 step:98K smpl:782K ep:986 epch:197.18 loss:0.036 grdn:6.749 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:41:29 ts/train.py:232 step:98K smpl:784K ep:988 epch:197.58 loss:0.036 grdn:6.244 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:41:39 ts/train.py:232 step:98K smpl:786K ep:990 epch:197.98 loss:0.035 grdn:6.167 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:41:50 ts/train.py:232 step:98K smpl:787K ep:992 epch:198.39 loss:0.036 grdn:6.570 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:42:01 ts/train.py:232 step:99K smpl:789K ep:994 epch:198.79 loss:0.035 grdn:6.615 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:42:11 ts/train.py:232 step:99K smpl:790K ep:996 epch:199.19 loss:0.035 grdn:6.361 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:42:22 ts/train.py:232 step:99K smpl:792K ep:998 epch:199.60 loss:0.036 grdn:6.178 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:42:32 ts/train.py:232 step:99K smpl:794K ep:1K epch:200.00 loss:0.035 grdn:6.198 lr:1.0e-05 updt_s:0.051 data_s:0.000
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INFO 2025-10-15 17:42:43 ts/train.py:232 step:99K smpl:795K ep:1K epch:200.40 loss:0.036 grdn:6.102 lr:1.0e-05 updt_s:0.051 data_s:0.001
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INFO 2025-10-15 17:42:53 ts/train.py:232 step:100K smpl:797K ep:1K epch:200.81 loss:0.035 grdn:5.952 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:43:04 ts/train.py:232 step:100K smpl:798K ep:1K epch:201.21 loss:0.035 grdn:6.366 lr:1.0e-05 updt_s:0.052 data_s:0.001
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INFO 2025-10-15 17:43:14 ts/train.py:232 step:100K smpl:800K ep:1K epch:201.61 loss:0.036 grdn:6.519 lr:1.0e-05 updt_s:0.052 data_s:0.000
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INFO 2025-10-15 17:43:14 ts/train.py:241 Checkpoint policy after step 100000
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INFO 2025-10-15 17:43:16 ts/train.py:283 End of training
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| 521 |
+
WARNING 2025-10-15 17:44:38 ls/_http.py:321 '(MaxRetryError("HTTPSConnectionPool(host='hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com', port=443): Max retries exceeded with url: /repos/93/f9/93f93702dd326d78cb593acb1966bfcc4f3972dcf05c02f111a959264ef0254c/86340fbf1e77e564735e33ab1b3d9825a005fbd27ed81127a3a4eb2a389aaf89?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20251015%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251015T094319Z&X-Amz-Expires=86400&X-Amz-Signature=72606942358c93f65945d311c6cd69996ec67f7bfd78f96276022e77927d6f28&X-Amz-SignedHeaders=host&partNumber=2&uploadId=.9Vt0cp7khToawDB_X8VStAWXzIOL9kgv7FTXtB1oLEDtz9I6ysvagdHyflnXaMLCITCK9LNTFgSAPQFZz.ar5IWUxBB.32ckYtWVFk2V8EepcvO6LikBcJJf3LToeL.&x-id=UploadPart (Caused by SSLError(SSLEOFError(8, 'EOF occurred in violation of protocol (_ssl.c:2436)')))"), '(Request ID: 3757bd12-ec4a-4a53-b0d1-64363cdf7940)')' thrown while requesting PUT https://hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com/repos/93/f9/93f93702dd326d78cb593acb1966bfcc4f3972dcf05c02f111a959264ef0254c/86340fbf1e77e564735e33ab1b3d9825a005fbd27ed81127a3a4eb2a389aaf89?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20251015%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251015T094319Z&X-Amz-Expires=86400&X-Amz-Signature=72606942358c93f65945d311c6cd69996ec67f7bfd78f96276022e77927d6f28&X-Amz-SignedHeaders=host&partNumber=2&uploadId=.9Vt0cp7khToawDB_X8VStAWXzIOL9kgv7FTXtB1oLEDtz9I6ysvagdHyflnXaMLCITCK9LNTFgSAPQFZz.ar5IWUxBB.32ckYtWVFk2V8EepcvO6LikBcJJf3LToeL.&x-id=UploadPart
|
| 522 |
+
Retrying in 1s [Retry 1/5].
|
| 523 |
+
WARNING 2025-10-15 17:44:38 ls/_http.py:330 Retrying in 1s [Retry 1/5].
|
| 524 |
+
model.safetensors: 38%|███████████████████████████████████████▍ | 78.5M/207M [05:49<11:58, 178kB/s]Traceback (most recent call last):
|
| 525 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 407, in hf_raise_for_status
|
| 526 |
+
response.raise_for_status()
|
| 527 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/requests/models.py", line 1026, in raise_for_status
|
| 528 |
+
raise HTTPError(http_error_msg, response=self)
|
| 529 |
+
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://hf-hub-lfs-us-east-1.s3-accelerate.amazonaws.com/repos/93/f9/93f93702dd326d78cb593acb1966bfcc4f3972dcf05c02f111a959264ef0254c/86340fbf1e77e564735e33ab1b3d9825a005fbd27ed81127a3a4eb2a389aaf89?X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Content-Sha256=UNSIGNED-PAYLOAD&X-Amz-Credential=AKIA2JU7TKAQLC2QXPN7%2F20251015%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20251015T094319Z&X-Amz-Expires=86400&X-Amz-Signature=081af121d95886800fb1d595931555dde817f5461875b153d8ec46b30429810b&X-Amz-SignedHeaders=host&partNumber=4&uploadId=.9Vt0cp7khToawDB_X8VStAWXzIOL9kgv7FTXtB1oLEDtz9I6ysvagdHyflnXaMLCITCK9LNTFgSAPQFZz.ar5IWUxBB.32ckYtWVFk2V8EepcvO6LikBcJJf3LToeL.&x-id=UploadPart
|
| 530 |
+
|
| 531 |
+
The above exception was the direct cause of the following exception:
|
| 532 |
+
|
| 533 |
+
Traceback (most recent call last):
|
| 534 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/_commit_api.py", line 442, in _wrapped_lfs_upload
|
| 535 |
+
lfs_upload(operation=operation, lfs_batch_action=batch_action, headers=headers, endpoint=endpoint)
|
| 536 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/lfs.py", line 246, in lfs_upload
|
| 537 |
+
_upload_multi_part(operation=operation, header=header, chunk_size=chunk_size, upload_url=upload_url)
|
| 538 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/lfs.py", line 346, in _upload_multi_part
|
| 539 |
+
else _upload_parts_iteratively(operation=operation, sorted_parts_urls=sorted_parts_urls, chunk_size=chunk_size)
|
| 540 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/lfs.py", line 404, in _upload_parts_iteratively
|
| 541 |
+
hf_raise_for_status(part_upload_res)
|
| 542 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/utils/_http.py", line 463, in hf_raise_for_status
|
| 543 |
+
raise _format(BadRequestError, message, response) from e
|
| 544 |
+
huggingface_hub.errors.BadRequestError: Bad request:
|
| 545 |
+
<?xml version="1.0" encoding="UTF-8"?>
|
| 546 |
+
<Error><Code>RequestTimeout</Code><Message>Your socket connection to the server was not read from or written to within the timeout period. Idle connections will be closed.</Message><RequestId>FKSYEEGPQGJ96CZV</RequestId><HostId>6B8YBGjgZfiCkU/bu7UHFIZ9Bz0+w1/v+rYOT8iYbTIdtcof/hWq/WOWrz9NG6I0G2VvJsm8nhk=</HostId></Error>
|
| 547 |
+
|
| 548 |
+
The above exception was the direct cause of the following exception:
|
| 549 |
+
|
| 550 |
+
Traceback (most recent call last):
|
| 551 |
+
File "/home/mike/miniconda3/envs/lerobot/bin/lerobot-train", line 7, in <module>
|
| 552 |
+
sys.exit(main())
|
| 553 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/lerobot/scripts/train.py", line 291, in main
|
| 554 |
+
train()
|
| 555 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/lerobot/configs/parser.py", line 225, in wrapper_inner
|
| 556 |
+
response = fn(cfg, *args, **kwargs)
|
| 557 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/lerobot/scripts/train.py", line 286, in train
|
| 558 |
+
policy.push_model_to_hub(cfg)
|
| 559 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/lerobot/policies/pretrained.py", line 223, in push_model_to_hub
|
| 560 |
+
commit_info = api.upload_folder(
|
| 561 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 562 |
+
return fn(*args, **kwargs)
|
| 563 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 1669, in _inner
|
| 564 |
+
return fn(self, *args, **kwargs)
|
| 565 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 4993, in upload_folder
|
| 566 |
+
commit_info = self.create_commit(
|
| 567 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 568 |
+
return fn(*args, **kwargs)
|
| 569 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 1669, in _inner
|
| 570 |
+
return fn(self, *args, **kwargs)
|
| 571 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 4250, in create_commit
|
| 572 |
+
self.preupload_lfs_files(
|
| 573 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 4542, in preupload_lfs_files
|
| 574 |
+
_upload_lfs_files(**upload_kwargs, num_threads=num_threads) # type: ignore [arg-type]
|
| 575 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/utils/_validators.py", line 114, in _inner_fn
|
| 576 |
+
return fn(*args, **kwargs)
|
| 577 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/_commit_api.py", line 452, in _upload_lfs_files
|
| 578 |
+
_wrapped_lfs_upload(filtered_actions[0])
|
| 579 |
+
File "/home/mike/miniconda3/envs/lerobot/lib/python3.10/site-packages/huggingface_hub/_commit_api.py", line 444, in _wrapped_lfs_upload
|
| 580 |
+
raise RuntimeError(f"Error while uploading '{operation.path_in_repo}' to the Hub.") from exc
|
| 581 |
+
RuntimeError: Error while uploading 'model.safetensors' to the Hub.
|
wandb/run-20251015_161409-p0vu320d/files/requirements.txt
ADDED
|
@@ -0,0 +1,239 @@
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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 |
+
gr00t==1.1.0
|
| 2 |
+
nvidia-cuda-runtime==13.0.48
|
| 3 |
+
traitlets==5.14.3
|
| 4 |
+
annotated-types==0.7.0
|
| 5 |
+
cmeel-console-bridge==1.0.2.3
|
| 6 |
+
cloudpickle==3.1.1
|
| 7 |
+
pip==25.2
|
| 8 |
+
pandas==2.3.2
|
| 9 |
+
certifi==2025.8.3
|
| 10 |
+
pyzmq==27.1.0
|
| 11 |
+
ptyprocess==0.7.0
|
| 12 |
+
pettingzoo==1.24.3
|
| 13 |
+
draccus==0.10.0
|
| 14 |
+
dm-control==1.0.14
|
| 15 |
+
pyparsing==3.2.5
|
| 16 |
+
cmeel-tinyxml2==10.0.0
|
| 17 |
+
iniconfig==2.1.0
|
| 18 |
+
rich==14.1.0
|
| 19 |
+
pymunk==6.11.1
|
| 20 |
+
gym-xarm==0.1.1
|
| 21 |
+
Jinja2==3.1.6
|
| 22 |
+
cmeel-urdfdom==4.0.1
|
| 23 |
+
nvidia-cudnn-cu13==9.13.0.50
|
| 24 |
+
pyarrow==21.0.0
|
| 25 |
+
nvidia-cuda-cupti==13.0.48
|
| 26 |
+
cmeel-qhull==8.0.2.1
|
| 27 |
+
identify==2.6.14
|
| 28 |
+
tomli==2.2.1
|
| 29 |
+
ipython==8.37.0
|
| 30 |
+
matplotlib-inline==0.1.7
|
| 31 |
+
PyYAML==6.0.2
|
| 32 |
+
frozenlist==1.7.0
|
| 33 |
+
torch==2.7.0+cu128
|
| 34 |
+
nvidia-nvjitlink==13.0.39
|
| 35 |
+
debugpy==1.8.17
|
| 36 |
+
lxml==6.0.2
|
| 37 |
+
cffi==2.0.0
|
| 38 |
+
pfzy==0.3.4
|
| 39 |
+
pynput==1.8.1
|
| 40 |
+
gym-hil==0.1.11
|
| 41 |
+
yarl==1.20.1
|
| 42 |
+
scikit-image==0.25.2
|
| 43 |
+
gym-aloha==0.1.1
|
| 44 |
+
exceptiongroup==1.3.0
|
| 45 |
+
aiohappyeyeballs==2.6.1
|
| 46 |
+
pyserial==3.5
|
| 47 |
+
nvidia-nvshmem-cu13==3.3.24
|
| 48 |
+
zipp==3.23.0
|
| 49 |
+
wheel==0.45.1
|
| 50 |
+
pytest==8.4.2
|
| 51 |
+
mujoco==2.3.7
|
| 52 |
+
fonttools==4.60.0
|
| 53 |
+
itsdangerous==2.2.0
|
| 54 |
+
toml==0.10.2
|
| 55 |
+
hidapi==0.14.0.post4
|
| 56 |
+
click==8.3.0
|
| 57 |
+
feetech-servo-sdk==1.0.0
|
| 58 |
+
meshcat==0.3.2
|
| 59 |
+
orderly-set==5.5.0
|
| 60 |
+
nvidia-cusolver==12.0.3.29
|
| 61 |
+
networkx==3.4.2
|
| 62 |
+
pydantic_core==2.33.2
|
| 63 |
+
markdown-it-py==4.0.0
|
| 64 |
+
eigenpy==3.10.3
|
| 65 |
+
termcolor==3.1.0
|
| 66 |
+
attrs==25.3.0
|
| 67 |
+
typing_extensions==4.15.0
|
| 68 |
+
nvidia-cusparse==12.6.2.49
|
| 69 |
+
cmeel-boost==1.87.0.1
|
| 70 |
+
contourpy==1.3.2
|
| 71 |
+
grpcio-tools==1.73.1
|
| 72 |
+
nvidia-nvtx==13.0.39
|
| 73 |
+
nodeenv==1.9.1
|
| 74 |
+
transformers==4.51.3
|
| 75 |
+
albucore==0.0.24
|
| 76 |
+
pre_commit==4.3.0
|
| 77 |
+
pygame==2.6.1
|
| 78 |
+
idna==3.10
|
| 79 |
+
wrapt==1.17.3
|
| 80 |
+
deepdiff==8.6.1
|
| 81 |
+
parso==0.8.5
|
| 82 |
+
multidict==6.6.4
|
| 83 |
+
protobuf==6.32.1
|
| 84 |
+
imageio-ffmpeg==0.6.0
|
| 85 |
+
opencv-python==4.12.0.88
|
| 86 |
+
pydantic==2.11.9
|
| 87 |
+
nvidia-cublas-cu12==12.8.3.14
|
| 88 |
+
tokenizers==0.21.4
|
| 89 |
+
aiosignal==1.4.0
|
| 90 |
+
pytest-cov==7.0.0
|
| 91 |
+
nvidia-cufile-cu12==1.13.0.11
|
| 92 |
+
pure_eval==0.2.3
|
| 93 |
+
cmeel-zlib==1.3.1
|
| 94 |
+
torchvision==0.22.0+cu128
|
| 95 |
+
pycparser==2.23
|
| 96 |
+
Werkzeug==3.1.3
|
| 97 |
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gitdb==4.0.12
|
| 98 |
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evdev==1.9.2
|
| 99 |
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nvidia-cuda-nvrtc-cu12==12.8.61
|
| 100 |
+
labmaze==1.0.6
|
| 101 |
+
decorator==5.2.1
|
| 102 |
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rerun-sdk==0.22.1
|
| 103 |
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asttokens==3.0.0
|
| 104 |
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Farama-Notifications==0.0.4
|
| 105 |
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Pygments==2.19.2
|
| 106 |
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kiwisolver==1.4.9
|
| 107 |
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diffusers==0.35.1
|
| 108 |
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wcwidth==0.2.14
|
| 109 |
+
regex==2025.9.18
|
| 110 |
+
lerobot==0.3.3
|
| 111 |
+
dynamixel-sdk==3.8.4
|
| 112 |
+
matplotlib==3.10.6
|
| 113 |
+
multiprocess==0.70.16
|
| 114 |
+
nvidia-cusparse-cu12==12.5.7.53
|
| 115 |
+
psutil==7.1.0
|
| 116 |
+
executing==2.2.1
|
| 117 |
+
hf_transfer==0.1.9
|
| 118 |
+
pytz==2025.2
|
| 119 |
+
rhoban-cmeel-jsoncpp==1.9.4.9
|
| 120 |
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nvidia-curand==10.4.0.35
|
| 121 |
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msgpack==1.1.1
|
| 122 |
+
grpcio==1.73.1
|
| 123 |
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nvidia-cudnn-cu12==9.7.1.26
|
| 124 |
+
nvidia-nvjitlink-cu12==12.8.61
|
| 125 |
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async-timeout==5.0.1
|
| 126 |
+
shapely==2.1.2
|
| 127 |
+
nvidia-cusolver-cu12==11.7.2.55
|
| 128 |
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simsimd==6.5.3
|
| 129 |
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stringzilla==4.2.0
|
| 130 |
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cmeel==0.57.3
|
| 131 |
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charset-normalizer==3.4.3
|
| 132 |
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pyngrok==7.4.0
|
| 133 |
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dill==0.3.8
|
| 134 |
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u-msgpack-python==2.8.0
|
| 135 |
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pytorch-triton==3.5.0+gitbbb06c03
|
| 136 |
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typing-inspect==0.9.0
|
| 137 |
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platformdirs==4.4.0
|
| 138 |
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opencv-python-headless==4.12.0.88
|
| 139 |
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mdurl==0.1.2
|
| 140 |
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mypy_extensions==1.1.0
|
| 141 |
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filelock==3.19.1
|
| 142 |
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safetensors==0.6.2
|
| 143 |
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gym-pusht==0.1.5
|
| 144 |
+
numpy==2.2.6
|
| 145 |
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packaging==25.0
|
| 146 |
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jedi==0.19.2
|
| 147 |
+
dm-tree==0.1.9
|
| 148 |
+
imageio==2.37.0
|
| 149 |
+
nvidia-cufft-cu12==11.3.3.41
|
| 150 |
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av==15.1.0
|
| 151 |
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pin==3.4.0
|
| 152 |
+
sympy==1.14.0
|
| 153 |
+
nvidia-nvshmem-cu12==3.3.24
|
| 154 |
+
nvidia-cuda-nvrtc==13.0.48
|
| 155 |
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portalocker==3.2.0
|
| 156 |
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mock-serial==0.0.1
|
| 157 |
+
nvidia-cublas==13.0.0.19
|
| 158 |
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cmeel-assimp==5.4.3.1
|
| 159 |
+
mergedeep==1.3.4
|
| 160 |
+
pyrealsense2==2.56.5.9235
|
| 161 |
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typing-inspection==0.4.1
|
| 162 |
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six==1.17.0
|
| 163 |
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gymnasium==0.29.1
|
| 164 |
+
PyOpenGL==3.1.10
|
| 165 |
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nvidia-nccl-cu13==2.27.7
|
| 166 |
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hf-xet==1.1.10
|
| 167 |
+
accelerate==1.10.1
|
| 168 |
+
tornado==6.5.2
|
| 169 |
+
MarkupSafe==3.0.2
|
| 170 |
+
xxhash==3.5.0
|
| 171 |
+
urllib3==2.5.0
|
| 172 |
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docopt==0.6.2
|
| 173 |
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gymnasium-robotics==1.2.4
|
| 174 |
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numpydantic==1.6.11
|
| 175 |
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aiohttp==3.12.15
|
| 176 |
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placo==0.9.14
|
| 177 |
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cfgv==3.4.0
|
| 178 |
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nvidia-cuda-cupti-cu12==12.8.57
|
| 179 |
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tzdata==2025.2
|
| 180 |
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typeguard==4.4.4
|
| 181 |
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smmap==5.0.2
|
| 182 |
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sentry-sdk==2.39.0
|
| 183 |
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fsspec==2025.3.0
|
| 184 |
+
einops==0.8.1
|
| 185 |
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importlib_metadata==8.7.0
|
| 186 |
+
datasets==3.6.0
|
| 187 |
+
huggingface-hub==0.35.1
|
| 188 |
+
blinker==1.9.0
|
| 189 |
+
nvidia-nccl-cu12==2.26.2
|
| 190 |
+
tyro==0.9.32
|
| 191 |
+
virtualenv==20.34.0
|
| 192 |
+
jsonlines==4.0.0
|
| 193 |
+
dm-env==1.6
|
| 194 |
+
setuptools==78.1.1
|
| 195 |
+
GitPython==3.1.45
|
| 196 |
+
shtab==1.7.2
|
| 197 |
+
pyyaml-include==1.4.1
|
| 198 |
+
scipy==1.15.3
|
| 199 |
+
eiquadprog==1.2.9
|
| 200 |
+
pytorch3d==0.7.8
|
| 201 |
+
python-dateutil==2.9.0.post0
|
| 202 |
+
pexpect==4.9.0
|
| 203 |
+
Flask==3.1.2
|
| 204 |
+
ischedule==1.2.7
|
| 205 |
+
docstring_parser==0.17.0
|
| 206 |
+
pytest-timeout==2.4.0
|
| 207 |
+
distlib==0.4.0
|
| 208 |
+
mpmath==1.3.0
|
| 209 |
+
nvidia-cusparselt-cu12==0.6.3
|
| 210 |
+
stack-data==0.6.3
|
| 211 |
+
albumentations==2.0.8
|
| 212 |
+
nvidia-cuda-runtime-cu12==12.8.57
|
| 213 |
+
tifffile==2025.5.10
|
| 214 |
+
nvidia-cusparselt-cu13==0.8.0
|
| 215 |
+
coal-library==3.0.1
|
| 216 |
+
torchcodec==0.5+cu128
|
| 217 |
+
nvidia-nvtx-cu12==12.8.55
|
| 218 |
+
glfw==2.10.0
|
| 219 |
+
absl-py==2.3.1
|
| 220 |
+
cmake==4.1.0
|
| 221 |
+
nvidia-curand-cu12==10.3.9.55
|
| 222 |
+
coverage==7.10.7
|
| 223 |
+
cmeel-octomap==1.10.0
|
| 224 |
+
iopath==0.1.10
|
| 225 |
+
wandb==0.22.0
|
| 226 |
+
num2words==0.5.14
|
| 227 |
+
propcache==0.3.2
|
| 228 |
+
pillow==11.3.0
|
| 229 |
+
prompt_toolkit==3.0.52
|
| 230 |
+
python-xlib==0.33
|
| 231 |
+
pluggy==1.6.0
|
| 232 |
+
inquirerpy==0.3.4
|
| 233 |
+
nvidia-cufile==1.15.0.42
|
| 234 |
+
nvidia-cufft==12.0.0.15
|
| 235 |
+
tqdm==4.67.1
|
| 236 |
+
requests==2.32.5
|
| 237 |
+
cycler==0.12.1
|
| 238 |
+
lazy_loader==0.4
|
| 239 |
+
triton==3.3.0
|
wandb/run-20251015_161409-p0vu320d/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1,46 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"os": "Linux-6.14.0-33-generic-x86_64-with-glibc2.39",
|
| 3 |
+
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|
| 4 |
+
"startedAt": "2025-10-15T08:14:09.413917Z",
|
| 5 |
+
"args": [
|
| 6 |
+
"--dataset.repo_id=miketangmk/record-test6",
|
| 7 |
+
"--policy.type=act",
|
| 8 |
+
"--output_dir=outputs/train/act_so101_test6",
|
| 9 |
+
"--job_name=act_record_test6",
|
| 10 |
+
"--policy.device=cuda",
|
| 11 |
+
"--wandb.enable=true",
|
| 12 |
+
"--policy.repo_id=miketangmk/my_policy6"
|
| 13 |
+
],
|
| 14 |
+
"program": "/home/mike/miniconda3/envs/lerobot/bin/lerobot-train",
|
| 15 |
+
"git": {
|
| 16 |
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"remote": "https://github.com/huggingface/lerobot.git",
|
| 17 |
+
"commit": "577cd10974b84bea1f06b6472eb9e5e74e07f77a"
|
| 18 |
+
},
|
| 19 |
+
"root": "outputs/train/act_so101_test6",
|
| 20 |
+
"host": "HomeUbuntu24",
|
| 21 |
+
"executable": "/home/mike/miniconda3/envs/lerobot/bin/python3.10",
|
| 22 |
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"cpu_count": 16,
|
| 23 |
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"cpu_count_logical": 32,
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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|
| 32 |
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"memory": {
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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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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"cudaVersion": "13.0",
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| 45 |
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"writerId": "ss1c4k6sos4snpva8seucrc0uzwh64v7"
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| 46 |
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}
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wandb/run-20251015_161409-p0vu320d/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
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|
|
|
|
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|
| 1 |
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wandb/run-20251015_161409-p0vu320d/logs/debug-core.log
ADDED
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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{"time":"2025-10-15T16:14:09.454456549+08:00","level":"INFO","msg":"server: will exit if parent process dies","ppid":12626}
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{"time":"2025-10-15T16:14:09.620406822+08:00","level":"INFO","msg":"connection: ManageConnectionData: new connection created","id":"1(@)"}
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{"time":"2025-10-15T16:14:09.624774321+08:00","level":"INFO","msg":"handleInformInit: received","streamId":"p0vu320d","id":"1(@)"}
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| 6 |
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{"time":"2025-10-15T16:14:10.148569291+08:00","level":"INFO","msg":"handleInformInit: stream started","streamId":"p0vu320d","id":"1(@)"}
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{"time":"2025-10-15T17:49:09.456920075+08:00","level":"INFO","msg":"handleInformTeardown: server teardown initiated","id":"1(@)"}
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| 8 |
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{"time":"2025-10-15T17:49:09.456959681+08:00","level":"INFO","msg":"connection: closing","id":"1(@)"}
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| 9 |
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{"time":"2025-10-15T17:49:09.456975492+08:00","level":"INFO","msg":"server is shutting down"}
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| 10 |
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{"time":"2025-10-15T17:49:09.456987234+08:00","level":"INFO","msg":"connection: closed successfully","id":"1(@)"}
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| 11 |
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{"time":"2025-10-15T17:49:09.457022091+08:00","level":"INFO","msg":"server: listener closed","addr":{"Name":"/tmp/wandb-12626-12688-4023486746/socket","Net":"unix"}}
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| 12 |
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{"time":"2025-10-15T17:52:19.291123948+08:00","level":"ERROR","msg":"processOutgoingData: flush error","error":"write unix /tmp/wandb-12626-12688-4023486746/socket->@: use of closed network connection","id":"1(@)"}
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| 13 |
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{"time":"2025-10-15T17:52:19.631510675+08:00","level":"INFO","msg":"handleInformTeardown: server shutdown complete","id":"1(@)"}
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| 14 |
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{"time":"2025-10-15T17:52:19.631532487+08:00","level":"INFO","msg":"connection: ManageConnectionData: connection closed","id":"1(@)"}
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| 15 |
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{"time":"2025-10-15T17:52:19.631540642+08:00","level":"INFO","msg":"server is closed"}
|
wandb/run-20251015_161409-p0vu320d/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,14 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{"time":"2025-10-15T16:14:09.624836715+08:00","level":"INFO","msg":"stream: starting","core version":"0.22.0"}
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{"time":"2025-10-15T16:14:10.14854742+08:00","level":"INFO","msg":"stream: created new stream","id":"p0vu320d"}
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{"time":"2025-10-15T16:14:10.148566733+08:00","level":"INFO","msg":"stream: started","id":"p0vu320d"}
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| 4 |
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{"time":"2025-10-15T16:14:10.148576886+08:00","level":"INFO","msg":"handler: started","stream_id":"p0vu320d"}
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{"time":"2025-10-15T16:14:10.148586296+08:00","level":"INFO","msg":"sender: started","stream_id":"p0vu320d"}
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| 6 |
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{"time":"2025-10-15T16:14:10.148597723+08:00","level":"INFO","msg":"writer: started","stream_id":"p0vu320d"}
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| 7 |
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{"time":"2025-10-15T16:55:08.587713976+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:43856->127.0.0.53:53: i/o timeout"}
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| 8 |
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{"time":"2025-10-15T17:09:23.588486422+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:44983->127.0.0.53:53: i/o timeout"}
|
| 9 |
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{"time":"2025-10-15T17:44:20.557928142+08:00","level":"INFO","msg":"api: retrying error","error":"Post \"https://api.wandb.ai/files/tang-mike-tmnetwork/lerobot/p0vu320d/file_stream\": dial tcp: lookup api.wandb.ai on 127.0.0.53:53: read udp 127.0.0.1:60290->127.0.0.53:53: i/o timeout"}
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| 10 |
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{"time":"2025-10-15T17:49:09.456949862+08:00","level":"INFO","msg":"stream: closing","id":"p0vu320d"}
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| 11 |
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{"time":"2025-10-15T17:52:19.341615371+08:00","level":"INFO","msg":"fileTransfer: Close: file transfer manager closed"}
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| 12 |
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{"time":"2025-10-15T17:52:19.623839479+08:00","level":"INFO","msg":"handler: closed","stream_id":"p0vu320d"}
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| 13 |
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{"time":"2025-10-15T17:52:19.62390271+08:00","level":"INFO","msg":"sender: closed","stream_id":"p0vu320d"}
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| 14 |
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{"time":"2025-10-15T17:52:19.623914844+08:00","level":"INFO","msg":"stream: closed","id":"p0vu320d"}
|
wandb/run-20251015_161409-p0vu320d/logs/debug.log
ADDED
|
@@ -0,0 +1,23 @@
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|
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|
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|
|
|
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|
|
|
|
| 1 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Current SDK version is 0.22.0
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| 2 |
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2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Configure stats pid to 12626
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| 3 |
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2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from /home/mike/.config/wandb/settings
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| 4 |
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2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from /home/mike/lerobot/wandb/settings
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| 5 |
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2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_setup.py:_flush():81] Loading settings from environment variables
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| 6 |
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2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:setup_run_log_directory():686] Logging user logs to outputs/train/act_so101_test6/wandb/run-20251015_161409-p0vu320d/logs/debug.log
|
| 7 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:setup_run_log_directory():687] Logging internal logs to outputs/train/act_so101_test6/wandb/run-20251015_161409-p0vu320d/logs/debug-internal.log
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| 8 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():813] calling init triggers
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| 9 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():818] wandb.init called with sweep_config: {}
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| 10 |
+
config: {'dataset': {'repo_id': 'miketangmk/record-test6', 'root': None, 'episodes': None, 'image_transforms': {'enable': False, 'max_num_transforms': 3, 'random_order': False, 'tfs': {'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec'}, 'env': None, 'policy': {'type': 'act', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {}, 'output_features': {}, 'device': 'cuda', 'use_amp': False, 'push_to_hub': True, 'repo_id': 'miketangmk/my_policy6', 'private': None, 'tags': None, 'license': None, 'chunk_size': 100, 'n_action_steps': 100, 'vision_backbone': 'resnet18', 'pretrained_backbone_weights': 'ResNet18_Weights.IMAGENET1K_V1', 'replace_final_stride_with_dilation': False, 'pre_norm': False, 'dim_model': 512, 'n_heads': 8, 'dim_feedforward': 3200, 'feedforward_activation': 'relu', 'n_encoder_layers': 4, 'n_decoder_layers': 1, 'use_vae': True, 'latent_dim': 32, 'n_vae_encoder_layers': 4, 'temporal_ensemble_coeff': None, 'dropout': 0.1, 'kl_weight': 10.0, 'optimizer_lr': 1e-05, 'optimizer_weight_decay': 0.0001, 'optimizer_lr_backbone': 1e-05}, 'output_dir': 'outputs/train/act_so101_test6', 'job_name': 'act_record_test6', 'resume': False, 'seed': 1000, 'num_workers': 4, 'batch_size': 8, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 200, 'save_checkpoint': True, 'save_freq': 20000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 1e-05, 'weight_decay': 0.0001, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.999], 'eps': 1e-08}, 'scheduler': None, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': False, 'project': 'lerobot', 'entity': None, 'notes': None, 'run_id': None, 'mode': None}, '_wandb': {}}
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| 11 |
+
2025-10-15 16:14:09,414 INFO MainThread:12626 [wandb_init.py:init():861] starting backend
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| 12 |
+
2025-10-15 16:14:09,618 INFO MainThread:12626 [wandb_init.py:init():864] sending inform_init request
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| 13 |
+
2025-10-15 16:14:09,622 INFO MainThread:12626 [wandb_init.py:init():872] backend started and connected
|
| 14 |
+
2025-10-15 16:14:09,622 INFO MainThread:12626 [wandb_init.py:init():942] updated telemetry
|
| 15 |
+
2025-10-15 16:14:09,626 INFO MainThread:12626 [wandb_init.py:init():966] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-10-15 16:14:10,550 INFO MainThread:12626 [wandb_init.py:init():1017] starting run threads in backend
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| 17 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_console_start():2506] atexit reg
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| 18 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2354] redirect: wrap_raw
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| 19 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-10-15 16:14:10,609 INFO MainThread:12626 [wandb_run.py:_redirect():2446] Redirects installed.
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| 21 |
+
2025-10-15 16:14:10,610 INFO MainThread:12626 [wandb_init.py:init():1057] run started, returning control to user process
|
| 22 |
+
2025-10-15 17:49:09,457 INFO wandb-AsyncioManager-main:12626 [service_client.py:_forward_responses():84] Reached EOF.
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| 23 |
+
2025-10-15 17:49:09,457 INFO wandb-AsyncioManager-main:12626 [mailbox.py:close():137] Closing mailbox, abandoning 2 handles.
|
wandb/run-20251015_161409-p0vu320d/run-p0vu320d.wandb
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 993846
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