Initial commit
Browse files- .gitattributes +3 -0
- checkpoints/060000/pretrained_model/config.json +134 -0
- checkpoints/060000/pretrained_model/model.safetensors +3 -0
- checkpoints/060000/pretrained_model/train_config.json +327 -0
- checkpoints/060000/training_state/optimizer_param_groups.json +533 -0
- checkpoints/060000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/060000/training_state/rng_state.safetensors +3 -0
- checkpoints/060000/training_state/scheduler_state.json +15 -0
- checkpoints/060000/training_state/training_step.json +3 -0
- checkpoints/100000/pretrained_model/config.json +134 -0
- checkpoints/100000/pretrained_model/model.safetensors +3 -0
- checkpoints/100000/pretrained_model/train_config.json +327 -0
- checkpoints/100000/training_state/optimizer_param_groups.json +533 -0
- checkpoints/100000/training_state/optimizer_state.safetensors +3 -0
- checkpoints/100000/training_state/rng_state.safetensors +3 -0
- checkpoints/100000/training_state/scheduler_state.json +15 -0
- checkpoints/100000/training_state/training_step.json +3 -0
- wandb/debug-internal.log +13 -0
- wandb/debug.log +36 -0
- wandb/offline-run-20251125_164604-9pfedoc2/files/config.yaml +326 -0
- wandb/offline-run-20251125_164604-9pfedoc2/files/output.log +117 -0
- wandb/offline-run-20251125_164604-9pfedoc2/files/requirements.txt +286 -0
- wandb/offline-run-20251125_164604-9pfedoc2/files/wandb-metadata.json +1 -0
- wandb/offline-run-20251125_164604-9pfedoc2/files/wandb-summary.json +1 -0
- wandb/offline-run-20251125_164604-9pfedoc2/logs/debug-internal.log +13 -0
- wandb/offline-run-20251125_164604-9pfedoc2/logs/debug.log +36 -0
- wandb/offline-run-20251125_164604-9pfedoc2/run-9pfedoc2.wandb +3 -0
- wandb/offline-run-20251126_082603-9pfedoc2/files/config.yaml +362 -0
- wandb/offline-run-20251126_082603-9pfedoc2/files/output.log +0 -0
- wandb/offline-run-20251126_082603-9pfedoc2/files/requirements.txt +286 -0
- wandb/offline-run-20251126_082603-9pfedoc2/files/wandb-metadata.json +1 -0
- wandb/offline-run-20251126_082603-9pfedoc2/files/wandb-summary.json +1 -0
- wandb/offline-run-20251126_082603-9pfedoc2/logs/debug-internal.log +13 -0
- wandb/offline-run-20251126_082603-9pfedoc2/logs/debug.log +23 -0
- wandb/offline-run-20251126_082603-9pfedoc2/run-9pfedoc2.wandb +3 -0
- wandb/offline-run-20251127_082205-9pfedoc2/files/requirements.txt +286 -0
- wandb/offline-run-20251127_082205-9pfedoc2/logs/debug-internal.log +13 -0
- wandb/offline-run-20251127_082205-9pfedoc2/logs/debug.log +36 -0
- wandb/offline-run-20251127_082205-9pfedoc2/run-9pfedoc2.wandb +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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wandb/offline-run-20251125_164604-9pfedoc2/run-9pfedoc2.wandb filter=lfs diff=lfs merge=lfs -text
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| 37 |
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wandb/offline-run-20251126_082603-9pfedoc2/run-9pfedoc2.wandb filter=lfs diff=lfs merge=lfs -text
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| 38 |
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wandb/offline-run-20251127_082205-9pfedoc2/run-9pfedoc2.wandb filter=lfs diff=lfs merge=lfs -text
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checkpoints/060000/pretrained_model/config.json
ADDED
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@@ -0,0 +1,134 @@
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{
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| 2 |
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"type": "smolvla",
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"n_obs_steps": 1,
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"normalization_mapping": {
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"VISUAL": "IDENTITY",
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"STATE": "MEAN_STD",
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"ACTION": "MEAN_STD"
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},
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"input_features": {
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},
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"empty_cameras": 0,
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"tokenizer_max_length": 48,
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"num_steps": 10,
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"use_cache": true,
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"freeze_vision_encoder": true,
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"optimizer_eps": 1e-08,
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"vlm_model_name": "HuggingFaceTB/SmolVLM2-500M-Video-Instruct",
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"attention_mode": "cross_attn",
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"prefix_length": 0,
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"pad_language_to": "max_length",
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"num_expert_layers": 0,
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"num_vlm_layers": 16,
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"min_period": 0.004,
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"max_period": 4.0
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}
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checkpoints/060000/pretrained_model/model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:73a18729d08007a0e24740b519e947e49c4f24907df5532ffbd679c6d2d667ef
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| 3 |
+
size 906714192
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checkpoints/060000/pretrained_model/train_config.json
ADDED
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@@ -0,0 +1,327 @@
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|
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checkpoints/060000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,533 @@
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| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 2.5e-06,
|
| 4 |
+
"betas": [
|
| 5 |
+
0.9,
|
| 6 |
+
0.95
|
| 7 |
+
],
|
| 8 |
+
"eps": 1e-08,
|
| 9 |
+
"weight_decay": 1e-10,
|
| 10 |
+
"amsgrad": false,
|
| 11 |
+
"maximize": false,
|
| 12 |
+
"foreach": null,
|
| 13 |
+
"capturable": false,
|
| 14 |
+
"differentiable": false,
|
| 15 |
+
"fused": null,
|
| 16 |
+
"decoupled_weight_decay": true,
|
| 17 |
+
"initial_lr": 0.0001,
|
| 18 |
+
"params": [
|
| 19 |
+
0,
|
| 20 |
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1,
|
| 21 |
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2,
|
| 22 |
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3,
|
| 23 |
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|
| 24 |
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|
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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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| 33 |
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| 34 |
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| 35 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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| 42 |
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checkpoints/060000/training_state/optimizer_state.safetensors
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ADDED
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checkpoints/060000/training_state/scheduler_state.json
ADDED
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checkpoints/060000/training_state/training_step.json
ADDED
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checkpoints/100000/pretrained_model/config.json
ADDED
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|
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|
checkpoints/100000/pretrained_model/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 906714192
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checkpoints/100000/pretrained_model/train_config.json
ADDED
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@@ -0,0 +1,327 @@
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},
|
| 306 |
+
"scheduler": {
|
| 307 |
+
"type": "cosine_decay_with_warmup",
|
| 308 |
+
"num_warmup_steps": 1000,
|
| 309 |
+
"num_decay_steps": 30000,
|
| 310 |
+
"peak_lr": 0.0001,
|
| 311 |
+
"decay_lr": 2.5e-06
|
| 312 |
+
},
|
| 313 |
+
"eval": {
|
| 314 |
+
"n_episodes": 50,
|
| 315 |
+
"batch_size": 50,
|
| 316 |
+
"use_async_envs": false
|
| 317 |
+
},
|
| 318 |
+
"wandb": {
|
| 319 |
+
"enable": true,
|
| 320 |
+
"disable_artifact": true,
|
| 321 |
+
"project": "smolvla",
|
| 322 |
+
"entity": "Robotics_VLA",
|
| 323 |
+
"notes": null,
|
| 324 |
+
"run_id": null,
|
| 325 |
+
"mode": "offline"
|
| 326 |
+
}
|
| 327 |
+
}
|
checkpoints/100000/training_state/optimizer_param_groups.json
ADDED
|
@@ -0,0 +1,533 @@
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"lr": 2.5e-06,
|
| 4 |
+
"betas": [
|
| 5 |
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0.9,
|
| 6 |
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0.95
|
| 7 |
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],
|
| 8 |
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"eps": 1e-08,
|
| 9 |
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"weight_decay": 1e-10,
|
| 10 |
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"amsgrad": false,
|
| 11 |
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"maximize": false,
|
| 12 |
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"foreach": null,
|
| 13 |
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"capturable": false,
|
| 14 |
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"differentiable": false,
|
| 15 |
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"fused": null,
|
| 16 |
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"decoupled_weight_decay": true,
|
| 17 |
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"initial_lr": 0.0001,
|
| 18 |
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"params": [
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 83 |
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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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|
| 93 |
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|
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|
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|
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|
checkpoints/100000/training_state/optimizer_state.safetensors
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 412659164
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checkpoints/100000/training_state/rng_state.safetensors
ADDED
|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 15708
|
checkpoints/100000/training_state/scheduler_state.json
ADDED
|
@@ -0,0 +1,15 @@
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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 |
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{
|
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+
"base_lrs": [
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],
|
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"last_epoch": 100000,
|
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"_step_count": 100001,
|
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+
"_is_initial": false,
|
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"_get_lr_called_within_step": false,
|
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"_last_lr": [
|
| 10 |
+
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|
| 11 |
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|
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+
"lr_lambdas": [
|
| 13 |
+
null
|
| 14 |
+
]
|
| 15 |
+
}
|
checkpoints/100000/training_state/training_step.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"step": 100000
|
| 3 |
+
}
|
wandb/debug-internal.log
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
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{"time":"2025-11-27T08:22:07.559771448+01:00","level":"INFO","msg":"stream: starting","core version":"0.22.3"}
|
| 2 |
+
{"time":"2025-11-27T08:22:07.595802204+01:00","level":"ERROR","msg":"monitor: failed to initialize GPU resource: monitor: could not create portfile"}
|
| 3 |
+
{"time":"2025-11-27T08:22:07.61257113+01:00","level":"WARN","msg":"featurechecker: GraphQL client is nil, skipping feature loading"}
|
| 4 |
+
{"time":"2025-11-27T08:22:07.61263541+01:00","level":"INFO","msg":"stream: created new stream","id":"9pfedoc2"}
|
| 5 |
+
{"time":"2025-11-27T08:22:07.612673479+01:00","level":"INFO","msg":"handler: started","stream_id":"9pfedoc2"}
|
| 6 |
+
{"time":"2025-11-27T08:22:07.619536923+01:00","level":"INFO","msg":"stream: started","id":"9pfedoc2"}
|
| 7 |
+
{"time":"2025-11-27T08:22:07.619532523+01:00","level":"INFO","msg":"writer: started","stream_id":"9pfedoc2"}
|
| 8 |
+
{"time":"2025-11-27T08:22:07.619582552+01:00","level":"INFO","msg":"sender: started","stream_id":"9pfedoc2"}
|
| 9 |
+
{"time":"2025-11-27T08:22:07.620331957+01:00","level":"WARN","msg":"runupserter: server does not expand metric globs but the x_server_side_expand_glob_metrics setting is set; ignoring"}
|
| 10 |
+
{"time":"2025-11-27T14:52:02.440928489+01:00","level":"INFO","msg":"stream: closing","id":"9pfedoc2"}
|
| 11 |
+
{"time":"2025-11-27T14:52:02.448036743+01:00","level":"INFO","msg":"handler: closed","stream_id":"9pfedoc2"}
|
| 12 |
+
{"time":"2025-11-27T14:52:02.451416481+01:00","level":"INFO","msg":"sender: closed","stream_id":"9pfedoc2"}
|
| 13 |
+
{"time":"2025-11-27T14:52:02.451430391+01:00","level":"INFO","msg":"stream: closed","id":"9pfedoc2"}
|
wandb/debug.log
ADDED
|
@@ -0,0 +1,36 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
|
| 2 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Configure stats pid to 1740673
|
| 3 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /user/hominhduy.nguyen/u15271/.config/wandb/settings
|
| 4 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/wandb/settings
|
| 5 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():706] Logging user logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug.log
|
| 7 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug-internal.log
|
| 8 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():833] calling init triggers
|
| 9 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.image_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}, 'observation.states.ee_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.states.joint_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [7]}, 'observation.states.gripper_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [2]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': '/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': True, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
|
| 11 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():881] starting backend
|
| 12 |
+
2025-11-27 08:22:07,375 INFO MainThread:1740673 [wandb_init.py:init():884] sending inform_init request
|
| 13 |
+
2025-11-27 08:22:07,391 INFO MainThread:1740673 [wandb_init.py:init():892] backend started and connected
|
| 14 |
+
2025-11-27 08:22:07,393 INFO MainThread:1740673 [wandb_init.py:init():962] updated telemetry
|
| 15 |
+
2025-11-27 08:22:07,425 INFO MainThread:1740673 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-11-27 08:22:07,623 INFO MainThread:1740673 [wandb_init.py:init():1033] starting run threads in backend
|
| 17 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-11-27 08:22:08,921 INFO MainThread:1740673 [wandb_init.py:init():1073] run started, returning control to user process
|
| 22 |
+
2025-11-27 14:52:02,433 INFO wandb-AsyncioManager-main:1740673 [service_client.py:_forward_responses():80] Reached EOF.
|
| 23 |
+
2025-11-27 14:52:02,442 INFO wandb-AsyncioManager-main:1740673 [mailbox.py:close():137] Closing mailbox, abandoning 0 handles.
|
| 24 |
+
2025-11-27 14:52:02,547 ERROR wandb-AsyncioManager-main:1740673 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
|
| 25 |
+
Traceback (most recent call last):
|
| 26 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
|
| 27 |
+
await fn()
|
| 28 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 38, in publish
|
| 29 |
+
await self._send_server_request(request)
|
| 30 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 64, in _send_server_request
|
| 31 |
+
await self._writer.drain()
|
| 32 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
|
| 33 |
+
await self._protocol._drain_helper()
|
| 34 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
|
| 35 |
+
raise ConnectionResetError('Connection lost')
|
| 36 |
+
ConnectionResetError: Connection lost
|
wandb/offline-run-20251125_164604-9pfedoc2/files/config.yaml
ADDED
|
@@ -0,0 +1,326 @@
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|
| 1 |
+
wandb_version: 1
|
| 2 |
+
|
| 3 |
+
_wandb:
|
| 4 |
+
desc: null
|
| 5 |
+
value:
|
| 6 |
+
python_version: 3.10.19
|
| 7 |
+
cli_version: 0.22.3
|
| 8 |
+
framework: huggingface
|
| 9 |
+
is_jupyter_run: false
|
| 10 |
+
is_kaggle_kernel: false
|
| 11 |
+
start_time: 1764085564
|
| 12 |
+
t:
|
| 13 |
+
1:
|
| 14 |
+
- 1
|
| 15 |
+
- 41
|
| 16 |
+
- 49
|
| 17 |
+
- 51
|
| 18 |
+
- 71
|
| 19 |
+
2:
|
| 20 |
+
- 1
|
| 21 |
+
- 2
|
| 22 |
+
- 3
|
| 23 |
+
- 11
|
| 24 |
+
- 41
|
| 25 |
+
- 49
|
| 26 |
+
- 51
|
| 27 |
+
- 71
|
| 28 |
+
3:
|
| 29 |
+
- 4
|
| 30 |
+
- 13
|
| 31 |
+
- 15
|
| 32 |
+
- 16
|
| 33 |
+
- 42
|
| 34 |
+
- 61
|
| 35 |
+
4: 3.10.19
|
| 36 |
+
5: 0.22.3
|
| 37 |
+
13: linux-x86_64
|
| 38 |
+
e:
|
| 39 |
+
lgwa15frjqp6wcmzj791p626bybvxka3:
|
| 40 |
+
os: Linux-4.18.0-553.77.1.el8_10.x86_64-x86_64-with-glibc2.28
|
| 41 |
+
python: CPython 3.10.19
|
| 42 |
+
started_at: '2025-11-25T15:46:04.697019Z'
|
| 43 |
+
args:
|
| 44 |
+
- --policy.path=/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/smol_pretrained/smolvla_base
|
| 45 |
+
- --dataset.root=/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot
|
| 46 |
+
- --output_dir=outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers
|
| 47 |
+
- --job_name=libero_100%_baseline_correct_ourdata_16layers
|
| 48 |
+
- --config_path=configs/smolvla_config/other_default.json
|
| 49 |
+
- --batch_size=64
|
| 50 |
+
- --steps=100000
|
| 51 |
+
- --policy.gradient_accumulation_steps=1
|
| 52 |
+
- --wandb.mode=offline
|
| 53 |
+
- --log_freq=10
|
| 54 |
+
program: /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/lerobot/scripts/train_accelerate.py
|
| 55 |
+
code_path: lerobot/scripts/train_accelerate.py
|
| 56 |
+
code_path_local: lerobot/scripts/train_accelerate.py
|
| 57 |
+
git:
|
| 58 |
+
remote_url: git@github-binh:jibby2803/Smolvla_capstone_project.git
|
| 59 |
+
commit: dfb283852050a8f12eed8f55fe1f6288e61d5631
|
| 60 |
+
root: outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers
|
| 61 |
+
host: ggpu192
|
| 62 |
+
executable: /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/bin/python3.10
|
| 63 |
+
cpu_count: 64
|
| 64 |
+
cpu_count_logical: 128
|
| 65 |
+
disk:
|
| 66 |
+
/:
|
| 67 |
+
total: '270465425408'
|
| 68 |
+
used: '7019655168'
|
| 69 |
+
memory:
|
| 70 |
+
total: '540930854912'
|
| 71 |
+
slurm:
|
| 72 |
+
job_id: '11843069'
|
| 73 |
+
mpi_type: pmi2
|
| 74 |
+
writer_id: lgwa15frjqp6wcmzj791p626bybvxka3
|
| 75 |
+
dataset:
|
| 76 |
+
desc: null
|
| 77 |
+
value:
|
| 78 |
+
repo_id: .
|
| 79 |
+
root: /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot
|
| 80 |
+
episodes: null
|
| 81 |
+
image_transforms:
|
| 82 |
+
enable: true
|
| 83 |
+
max_num_transforms: 3
|
| 84 |
+
random_order: false
|
| 85 |
+
image_tfs:
|
| 86 |
+
hue:
|
| 87 |
+
weight: 1.0
|
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vlm_model_name: HuggingFaceTB/SmolVLM2-500M-Video-Instruct
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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run_id: null
|
| 326 |
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mode: offline
|
wandb/offline-run-20251125_164604-9pfedoc2/files/output.log
ADDED
|
@@ -0,0 +1,117 @@
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|
| 1 |
+
INFO 2025-11-25 16:46:05 celerate.py:159 Creating dataset
|
| 2 |
+
Resolving data files: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1676/1676 [00:00<00:00, 19076.04it/s]
|
| 3 |
+
Loading dataset shards: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 78/78 [00:00<00:00, 160.85it/s]
|
| 4 |
+
INFO 2025-11-25 16:46:13 celerate.py:170 Creating policy
|
| 5 |
+
`torch_dtype` is deprecated! Use `dtype` instead!
|
| 6 |
+
INFO 2025-11-25 16:46:27 celerate.py:181 Creating optimizer and scheduler
|
| 7 |
+
INFO 2025-11-25 16:46:27 celerate.py:221 [33m[1mOutput dir:[39m[22m outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers
|
| 8 |
+
INFO 2025-11-25 16:46:27 celerate.py:224 cfg.steps=100000 (100K)
|
| 9 |
+
INFO 2025-11-25 16:46:27 celerate.py:225 dataset.num_frames=269918 (270K)
|
| 10 |
+
INFO 2025-11-25 16:46:27 celerate.py:226 dataset.num_episodes=1676
|
| 11 |
+
INFO 2025-11-25 16:46:27 celerate.py:227 num_learnable_params=99880992 (100M)
|
| 12 |
+
INFO 2025-11-25 16:46:27 celerate.py:228 num_total_params=450046250 (450M)
|
| 13 |
+
INFO 2025-11-25 16:46:27 celerate.py:229 Number of processes: 1
|
| 14 |
+
INFO 2025-11-25 16:46:27 celerate.py:230 Device: cuda
|
| 15 |
+
INFO 2025-11-25 16:46:27 celerate.py:231 Mixed precision: no
|
| 16 |
+
INFO 2025-11-25 16:46:27 celerate.py:253 Start offline training on a fixed dataset
|
| 17 |
+
INFO 2025-11-25 16:46:48 celerate.py:303 step:10 smpl:640 ep:4 epch:0.00 loss:2.566 grdn:10.410 lr:6.5e-07 updt_s:0.844 data_s:1.157
|
| 18 |
+
load pretrained policy
|
| 19 |
+
Loading HuggingFaceTB/SmolVLM2-500M-Video-Instruct weights ...
|
| 20 |
+
Load pretrained VLM successfully!
|
| 21 |
+
Reducing the number of VLM layers to 16 ...
|
| 22 |
+
num_expert layer: 16
|
| 23 |
+
Loading weights from local directory
|
| 24 |
+
INFO 2025-11-25 16:46:54 celerate.py:303 step:20 smpl:1K ep:8 epch:0.00 loss:2.653 grdn:10.827 lr:1.6e-06 updt_s:0.538 data_s:0.017
|
| 25 |
+
INFO 2025-11-25 16:47:00 celerate.py:303 step:30 smpl:2K ep:12 epch:0.01 loss:2.443 grdn:9.905 lr:2.6e-06 updt_s:0.539 data_s:0.017
|
| 26 |
+
INFO 2025-11-25 16:47:06 celerate.py:303 step:40 smpl:3K ep:16 epch:0.01 loss:2.424 grdn:9.341 lr:3.6e-06 updt_s:0.539 data_s:0.017
|
| 27 |
+
INFO 2025-11-25 16:47:13 celerate.py:303 step:50 smpl:3K ep:20 epch:0.01 loss:2.113 grdn:7.696 lr:4.6e-06 updt_s:0.542 data_s:0.017
|
| 28 |
+
INFO 2025-11-25 16:47:19 celerate.py:303 step:60 smpl:4K ep:24 epch:0.01 loss:1.915 grdn:6.934 lr:5.6e-06 updt_s:0.541 data_s:0.017
|
| 29 |
+
INFO 2025-11-25 16:47:25 celerate.py:303 step:70 smpl:4K ep:28 epch:0.02 loss:1.814 grdn:6.067 lr:6.6e-06 updt_s:0.539 data_s:0.017
|
| 30 |
+
INFO 2025-11-25 16:47:31 celerate.py:303 step:80 smpl:5K ep:32 epch:0.02 loss:1.713 grdn:5.840 lr:7.6e-06 updt_s:0.544 data_s:0.021
|
| 31 |
+
INFO 2025-11-25 16:47:39 celerate.py:303 step:90 smpl:6K ep:36 epch:0.02 loss:1.538 grdn:4.220 lr:8.6e-06 updt_s:0.544 data_s:0.131
|
| 32 |
+
INFO 2025-11-25 16:47:46 celerate.py:303 step:100 smpl:6K ep:40 epch:0.02 loss:1.401 grdn:3.599 lr:9.6e-06 updt_s:0.541 data_s:0.135
|
| 33 |
+
INFO 2025-11-25 16:47:53 celerate.py:303 step:110 smpl:7K ep:44 epch:0.03 loss:1.382 grdn:3.641 lr:1.1e-05 updt_s:0.549 data_s:0.039
|
| 34 |
+
INFO 2025-11-25 16:48:01 celerate.py:303 step:120 smpl:8K ep:48 epch:0.03 loss:1.255 grdn:2.767 lr:1.2e-05 updt_s:0.545 data_s:0.243
|
| 35 |
+
INFO 2025-11-25 16:48:09 celerate.py:303 step:130 smpl:8K ep:52 epch:0.03 loss:1.185 grdn:2.471 lr:1.3e-05 updt_s:0.545 data_s:0.108
|
| 36 |
+
INFO 2025-11-25 16:48:16 celerate.py:303 step:140 smpl:9K ep:56 epch:0.03 loss:1.142 grdn:2.597 lr:1.4e-05 updt_s:0.545 data_s:0.085
|
| 37 |
+
INFO 2025-11-25 16:48:23 celerate.py:303 step:150 smpl:10K ep:60 epch:0.04 loss:1.099 grdn:2.174 lr:1.5e-05 updt_s:0.544 data_s:0.112
|
| 38 |
+
INFO 2025-11-25 16:48:31 celerate.py:303 step:160 smpl:10K ep:64 epch:0.04 loss:1.089 grdn:2.042 lr:1.6e-05 updt_s:0.548 data_s:0.213
|
| 39 |
+
INFO 2025-11-25 16:48:38 celerate.py:303 step:170 smpl:11K ep:68 epch:0.04 loss:1.067 grdn:2.079 lr:1.7e-05 updt_s:0.543 data_s:0.086
|
| 40 |
+
INFO 2025-11-25 16:48:45 celerate.py:303 step:180 smpl:12K ep:72 epch:0.04 loss:1.018 grdn:1.995 lr:1.8e-05 updt_s:0.544 data_s:0.104
|
| 41 |
+
INFO 2025-11-25 16:48:53 celerate.py:303 step:190 smpl:12K ep:76 epch:0.05 loss:0.992 grdn:1.989 lr:1.9e-05 updt_s:0.545 data_s:0.137
|
| 42 |
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INFO 2025-11-25 16:49:00 celerate.py:303 step:200 smpl:13K ep:79 epch:0.05 loss:0.984 grdn:1.878 lr:2.0e-05 updt_s:0.545 data_s:0.115
|
| 43 |
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INFO 2025-11-25 16:49:08 celerate.py:303 step:210 smpl:13K ep:83 epch:0.05 loss:0.964 grdn:1.901 lr:2.1e-05 updt_s:0.547 data_s:0.141
|
| 44 |
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INFO 2025-11-25 16:49:15 celerate.py:303 step:220 smpl:14K ep:87 epch:0.05 loss:0.927 grdn:1.958 lr:2.2e-05 updt_s:0.546 data_s:0.111
|
| 45 |
+
INFO 2025-11-25 16:49:22 celerate.py:303 step:230 smpl:15K ep:91 epch:0.05 loss:0.928 grdn:1.916 lr:2.3e-05 updt_s:0.545 data_s:0.061
|
| 46 |
+
INFO 2025-11-25 16:49:29 celerate.py:303 step:240 smpl:15K ep:95 epch:0.06 loss:0.887 grdn:1.844 lr:2.4e-05 updt_s:0.544 data_s:0.085
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| 47 |
+
INFO 2025-11-25 16:49:38 celerate.py:303 step:250 smpl:16K ep:99 epch:0.06 loss:0.892 grdn:1.870 lr:2.5e-05 updt_s:0.547 data_s:0.263
|
| 48 |
+
INFO 2025-11-25 16:49:44 celerate.py:303 step:260 smpl:17K ep:103 epch:0.06 loss:0.882 grdn:1.969 lr:2.6e-05 updt_s:0.547 data_s:0.018
|
| 49 |
+
INFO 2025-11-25 16:49:51 celerate.py:303 step:270 smpl:17K ep:107 epch:0.06 loss:0.870 grdn:1.782 lr:2.7e-05 updt_s:0.548 data_s:0.079
|
| 50 |
+
INFO 2025-11-25 16:49:59 celerate.py:303 step:280 smpl:18K ep:111 epch:0.07 loss:0.845 grdn:1.901 lr:2.8e-05 updt_s:0.547 data_s:0.167
|
| 51 |
+
INFO 2025-11-25 16:50:06 celerate.py:303 step:290 smpl:19K ep:115 epch:0.07 loss:0.826 grdn:2.081 lr:2.9e-05 updt_s:0.544 data_s:0.068
|
| 52 |
+
INFO 2025-11-25 16:50:13 celerate.py:303 step:300 smpl:19K ep:119 epch:0.07 loss:0.812 grdn:1.895 lr:3.0e-05 updt_s:0.547 data_s:0.121
|
| 53 |
+
INFO 2025-11-25 16:50:21 celerate.py:303 step:310 smpl:20K ep:123 epch:0.07 loss:0.790 grdn:1.981 lr:3.1e-05 updt_s:0.549 data_s:0.139
|
| 54 |
+
INFO 2025-11-25 16:50:28 celerate.py:303 step:320 smpl:20K ep:127 epch:0.08 loss:0.800 grdn:1.790 lr:3.2e-05 updt_s:0.547 data_s:0.159
|
| 55 |
+
INFO 2025-11-25 16:50:36 celerate.py:303 step:330 smpl:21K ep:131 epch:0.08 loss:0.760 grdn:1.988 lr:3.3e-05 updt_s:0.547 data_s:0.111
|
| 56 |
+
INFO 2025-11-25 16:50:43 celerate.py:303 step:340 smpl:22K ep:135 epch:0.08 loss:0.775 grdn:2.196 lr:3.4e-05 updt_s:0.548 data_s:0.126
|
| 57 |
+
INFO 2025-11-25 16:50:50 celerate.py:303 step:350 smpl:22K ep:139 epch:0.08 loss:0.757 grdn:2.049 lr:3.5e-05 updt_s:0.547 data_s:0.086
|
| 58 |
+
INFO 2025-11-25 16:50:59 celerate.py:303 step:360 smpl:23K ep:143 epch:0.09 loss:0.704 grdn:1.724 lr:3.6e-05 updt_s:0.545 data_s:0.257
|
| 59 |
+
INFO 2025-11-25 16:51:06 celerate.py:303 step:370 smpl:24K ep:147 epch:0.09 loss:0.723 grdn:1.641 lr:3.7e-05 updt_s:0.548 data_s:0.115
|
| 60 |
+
INFO 2025-11-25 16:51:13 celerate.py:303 step:380 smpl:24K ep:151 epch:0.09 loss:0.701 grdn:1.921 lr:3.8e-05 updt_s:0.545 data_s:0.101
|
| 61 |
+
INFO 2025-11-25 16:51:20 celerate.py:303 step:390 smpl:25K ep:155 epch:0.09 loss:0.709 grdn:1.963 lr:3.9e-05 updt_s:0.545 data_s:0.094
|
| 62 |
+
INFO 2025-11-25 16:51:29 celerate.py:303 step:400 smpl:26K ep:159 epch:0.09 loss:0.685 grdn:2.020 lr:4.0e-05 updt_s:0.549 data_s:0.234
|
| 63 |
+
INFO 2025-11-25 16:51:36 celerate.py:303 step:410 smpl:26K ep:163 epch:0.10 loss:0.693 grdn:2.012 lr:4.1e-05 updt_s:0.546 data_s:0.080
|
| 64 |
+
INFO 2025-11-25 16:51:43 celerate.py:303 step:420 smpl:27K ep:167 epch:0.10 loss:0.700 grdn:2.074 lr:4.2e-05 updt_s:0.544 data_s:0.077
|
| 65 |
+
INFO 2025-11-25 16:51:50 celerate.py:303 step:430 smpl:28K ep:171 epch:0.10 loss:0.676 grdn:1.817 lr:4.3e-05 updt_s:0.550 data_s:0.059
|
| 66 |
+
INFO 2025-11-25 16:51:59 celerate.py:303 step:440 smpl:28K ep:175 epch:0.10 loss:0.671 grdn:1.961 lr:4.4e-05 updt_s:0.546 data_s:0.356
|
| 67 |
+
INFO 2025-11-25 16:52:06 celerate.py:303 step:450 smpl:29K ep:179 epch:0.11 loss:0.652 grdn:2.053 lr:4.5e-05 updt_s:0.544 data_s:0.079
|
| 68 |
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INFO 2025-11-25 16:52:13 celerate.py:303 step:460 smpl:29K ep:183 epch:0.11 loss:0.654 grdn:1.889 lr:4.6e-05 updt_s:0.549 data_s:0.030
|
| 69 |
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INFO 2025-11-25 16:52:20 celerate.py:303 step:470 smpl:30K ep:187 epch:0.11 loss:0.665 grdn:1.827 lr:4.7e-05 updt_s:0.547 data_s:0.076
|
| 70 |
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INFO 2025-11-25 16:52:28 celerate.py:303 step:480 smpl:31K ep:191 epch:0.11 loss:0.644 grdn:1.945 lr:4.8e-05 updt_s:0.549 data_s:0.198
|
| 71 |
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INFO 2025-11-25 16:52:35 celerate.py:303 step:490 smpl:31K ep:195 epch:0.12 loss:0.646 grdn:2.283 lr:4.9e-05 updt_s:0.545 data_s:0.076
|
| 72 |
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INFO 2025-11-25 16:52:43 celerate.py:303 step:500 smpl:32K ep:199 epch:0.12 loss:0.644 grdn:2.150 lr:5.0e-05 updt_s:0.548 data_s:0.165
|
| 73 |
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INFO 2025-11-25 16:52:50 celerate.py:303 step:510 smpl:33K ep:203 epch:0.12 loss:0.626 grdn:2.079 lr:5.1e-05 updt_s:0.545 data_s:0.087
|
| 74 |
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INFO 2025-11-25 16:52:57 celerate.py:303 step:520 smpl:33K ep:207 epch:0.12 loss:0.627 grdn:2.138 lr:5.2e-05 updt_s:0.545 data_s:0.169
|
| 75 |
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INFO 2025-11-25 16:53:04 celerate.py:303 step:530 smpl:34K ep:211 epch:0.13 loss:0.626 grdn:2.014 lr:5.3e-05 updt_s:0.548 data_s:0.018
|
| 76 |
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INFO 2025-11-25 16:53:10 celerate.py:303 step:540 smpl:35K ep:215 epch:0.13 loss:0.633 grdn:2.268 lr:5.4e-05 updt_s:0.548 data_s:0.038
|
| 77 |
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INFO 2025-11-25 16:53:17 celerate.py:303 step:550 smpl:35K ep:219 epch:0.13 loss:0.624 grdn:1.948 lr:5.5e-05 updt_s:0.545 data_s:0.087
|
| 78 |
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INFO 2025-11-25 16:53:24 celerate.py:303 step:560 smpl:36K ep:223 epch:0.13 loss:0.621 grdn:1.842 lr:5.6e-05 updt_s:0.545 data_s:0.042
|
| 79 |
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INFO 2025-11-25 16:53:31 celerate.py:303 step:570 smpl:36K ep:227 epch:0.14 loss:0.623 grdn:1.904 lr:5.7e-05 updt_s:0.548 data_s:0.053
|
| 80 |
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INFO 2025-11-25 16:53:38 celerate.py:303 step:580 smpl:37K ep:230 epch:0.14 loss:0.593 grdn:2.090 lr:5.8e-05 updt_s:0.550 data_s:0.077
|
| 81 |
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INFO 2025-11-25 16:53:44 celerate.py:303 step:590 smpl:38K ep:234 epch:0.14 loss:0.606 grdn:2.283 lr:5.9e-05 updt_s:0.544 data_s:0.049
|
| 82 |
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INFO 2025-11-25 16:53:51 celerate.py:303 step:600 smpl:38K ep:238 epch:0.14 loss:0.597 grdn:2.054 lr:6.0e-05 updt_s:0.550 data_s:0.084
|
| 83 |
+
INFO 2025-11-25 16:53:58 celerate.py:303 step:610 smpl:39K ep:242 epch:0.14 loss:0.593 grdn:2.049 lr:6.1e-05 updt_s:0.546 data_s:0.069
|
| 84 |
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INFO 2025-11-25 16:54:05 celerate.py:303 step:620 smpl:40K ep:246 epch:0.15 loss:0.597 grdn:1.949 lr:6.2e-05 updt_s:0.546 data_s:0.094
|
| 85 |
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INFO 2025-11-25 16:54:12 celerate.py:303 step:630 smpl:40K ep:250 epch:0.15 loss:0.577 grdn:1.715 lr:6.3e-05 updt_s:0.546 data_s:0.029
|
| 86 |
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INFO 2025-11-25 16:54:20 celerate.py:303 step:640 smpl:41K ep:254 epch:0.15 loss:0.579 grdn:1.639 lr:6.4e-05 updt_s:0.549 data_s:0.250
|
| 87 |
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INFO 2025-11-25 16:54:27 celerate.py:303 step:650 smpl:42K ep:258 epch:0.15 loss:0.566 grdn:1.849 lr:6.5e-05 updt_s:0.545 data_s:0.071
|
| 88 |
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INFO 2025-11-25 16:54:34 celerate.py:303 step:660 smpl:42K ep:262 epch:0.16 loss:0.578 grdn:1.765 lr:6.6e-05 updt_s:0.544 data_s:0.091
|
| 89 |
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INFO 2025-11-25 16:54:41 celerate.py:303 step:670 smpl:43K ep:266 epch:0.16 loss:0.565 grdn:1.754 lr:6.7e-05 updt_s:0.547 data_s:0.018
|
| 90 |
+
INFO 2025-11-25 16:54:49 celerate.py:303 step:680 smpl:44K ep:270 epch:0.16 loss:0.576 grdn:2.042 lr:6.8e-05 updt_s:0.547 data_s:0.186
|
| 91 |
+
INFO 2025-11-25 16:54:56 celerate.py:303 step:690 smpl:44K ep:274 epch:0.16 loss:0.586 grdn:2.090 lr:6.9e-05 updt_s:0.545 data_s:0.102
|
| 92 |
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INFO 2025-11-25 16:55:03 celerate.py:303 step:700 smpl:45K ep:278 epch:0.17 loss:0.575 grdn:1.738 lr:7.0e-05 updt_s:0.547 data_s:0.077
|
| 93 |
+
INFO 2025-11-25 16:55:10 celerate.py:303 step:710 smpl:45K ep:282 epch:0.17 loss:0.572 grdn:2.041 lr:7.1e-05 updt_s:0.549 data_s:0.071
|
| 94 |
+
INFO 2025-11-25 16:55:17 celerate.py:303 step:720 smpl:46K ep:286 epch:0.17 loss:0.573 grdn:2.283 lr:7.2e-05 updt_s:0.542 data_s:0.076
|
| 95 |
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INFO 2025-11-25 16:55:25 celerate.py:303 step:730 smpl:47K ep:290 epch:0.17 loss:0.568 grdn:2.490 lr:7.3e-05 updt_s:0.550 data_s:0.262
|
| 96 |
+
INFO 2025-11-25 16:55:32 celerate.py:303 step:740 smpl:47K ep:294 epch:0.18 loss:0.562 grdn:2.238 lr:7.4e-05 updt_s:0.545 data_s:0.017
|
| 97 |
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INFO 2025-11-25 16:55:39 celerate.py:303 step:750 smpl:48K ep:298 epch:0.18 loss:0.558 grdn:1.893 lr:7.5e-05 updt_s:0.544 data_s:0.075
|
| 98 |
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INFO 2025-11-25 16:55:45 celerate.py:303 step:760 smpl:49K ep:302 epch:0.18 loss:0.561 grdn:1.724 lr:7.6e-05 updt_s:0.547 data_s:0.030
|
| 99 |
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INFO 2025-11-25 16:55:53 celerate.py:303 step:770 smpl:49K ep:306 epch:0.18 loss:0.536 grdn:1.795 lr:7.7e-05 updt_s:0.546 data_s:0.174
|
| 100 |
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INFO 2025-11-25 16:56:00 celerate.py:303 step:780 smpl:50K ep:310 epch:0.18 loss:0.551 grdn:1.877 lr:7.8e-05 updt_s:0.549 data_s:0.073
|
| 101 |
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INFO 2025-11-25 16:56:07 celerate.py:303 step:790 smpl:51K ep:314 epch:0.19 loss:0.543 grdn:1.950 lr:7.9e-05 updt_s:0.552 data_s:0.044
|
| 102 |
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INFO 2025-11-25 16:56:13 celerate.py:303 step:800 smpl:51K ep:318 epch:0.19 loss:0.535 grdn:2.116 lr:8.0e-05 updt_s:0.544 data_s:0.078
|
| 103 |
+
INFO 2025-11-25 16:56:22 celerate.py:303 step:810 smpl:52K ep:322 epch:0.19 loss:0.530 grdn:2.235 lr:8.1e-05 updt_s:0.546 data_s:0.188
|
| 104 |
+
INFO 2025-11-25 16:56:28 celerate.py:303 step:820 smpl:52K ep:326 epch:0.19 loss:0.551 grdn:2.259 lr:8.2e-05 updt_s:0.546 data_s:0.018
|
| 105 |
+
INFO 2025-11-25 16:56:35 celerate.py:303 step:830 smpl:53K ep:330 epch:0.20 loss:0.557 grdn:1.779 lr:8.3e-05 updt_s:0.548 data_s:0.060
|
| 106 |
+
INFO 2025-11-25 16:56:41 celerate.py:303 step:840 smpl:54K ep:334 epch:0.20 loss:0.526 grdn:1.774 lr:8.4e-05 updt_s:0.544 data_s:0.024
|
| 107 |
+
INFO 2025-11-25 16:56:49 celerate.py:303 step:850 smpl:54K ep:338 epch:0.20 loss:0.554 grdn:1.713 lr:8.5e-05 updt_s:0.548 data_s:0.165
|
| 108 |
+
INFO 2025-11-25 16:56:56 celerate.py:303 step:860 smpl:55K ep:342 epch:0.20 loss:0.530 grdn:1.726 lr:8.6e-05 updt_s:0.548 data_s:0.114
|
| 109 |
+
INFO 2025-11-25 16:57:03 celerate.py:303 step:870 smpl:56K ep:346 epch:0.21 loss:0.531 grdn:1.822 lr:8.7e-05 updt_s:0.544 data_s:0.017
|
| 110 |
+
INFO 2025-11-25 16:57:09 celerate.py:303 step:880 smpl:56K ep:350 epch:0.21 loss:0.546 grdn:2.067 lr:8.8e-05 updt_s:0.550 data_s:0.020
|
| 111 |
+
INFO 2025-11-25 16:57:17 celerate.py:303 step:890 smpl:57K ep:354 epch:0.21 loss:0.520 grdn:1.711 lr:8.9e-05 updt_s:0.544 data_s:0.208
|
| 112 |
+
INFO 2025-11-25 16:57:24 celerate.py:303 step:900 smpl:58K ep:358 epch:0.21 loss:0.510 grdn:1.820 lr:9.0e-05 updt_s:0.545 data_s:0.084
|
| 113 |
+
INFO 2025-11-25 16:57:31 celerate.py:303 step:910 smpl:58K ep:362 epch:0.22 loss:0.531 grdn:1.948 lr:9.1e-05 updt_s:0.548 data_s:0.089
|
| 114 |
+
INFO 2025-11-25 16:57:38 celerate.py:303 step:920 smpl:59K ep:366 epch:0.22 loss:0.529 grdn:1.637 lr:9.2e-05 updt_s:0.547 data_s:0.060
|
| 115 |
+
INFO 2025-11-25 16:57:46 celerate.py:303 step:930 smpl:60K ep:370 epch:0.22 loss:0.501 grdn:1.644 lr:9.3e-05 updt_s:0.547 data_s:0.190
|
| 116 |
+
INFO 2025-11-25 16:57:53 celerate.py:303 step:940 smpl:60K ep:374 epch:0.22 loss:0.521 grdn:1.851 lr:9.4e-05 updt_s:0.546 data_s:0.078
|
| 117 |
+
INFO 2025-11-25 16:58:00 celerate.py:303 step:950 smpl:61K ep:378 epch:0.23 loss:0.525 grdn:1.787 lr:9.5e-05 updt_s:0.543 data_s:0.041
|
wandb/offline-run-20251125_164604-9pfedoc2/files/requirements.txt
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
PySocks==1.7.1
|
| 2 |
+
beautifulsoup4==4.14.2
|
| 3 |
+
gdown==5.2.0
|
| 4 |
+
soupsieve==2.8
|
| 5 |
+
Farama-Notifications==0.0.4
|
| 6 |
+
PyOpenGL==3.1.0
|
| 7 |
+
PySocks==1.7.1
|
| 8 |
+
Send2Trash==1.8.3
|
| 9 |
+
absl-py==2.3.1
|
| 10 |
+
accelerate==1.11.0
|
| 11 |
+
aiohappyeyeballs==2.6.1
|
| 12 |
+
aiohttp==3.13.2
|
| 13 |
+
aiosignal==1.4.0
|
| 14 |
+
annotated-types==0.7.0
|
| 15 |
+
antlr4-python3-runtime==4.8
|
| 16 |
+
anyio==4.11.0
|
| 17 |
+
argon2-cffi==25.1.0
|
| 18 |
+
argon2-cffi-bindings==25.1.0
|
| 19 |
+
arrow==1.4.0
|
| 20 |
+
asciitree==0.3.3
|
| 21 |
+
asttokens==3.0.0
|
| 22 |
+
astunparse==1.6.3
|
| 23 |
+
async-lru==2.0.5
|
| 24 |
+
async-timeout==5.0.1
|
| 25 |
+
attrs==25.4.0
|
| 26 |
+
av==16.0.1
|
| 27 |
+
babel==2.17.0
|
| 28 |
+
bddl==3.6.0
|
| 29 |
+
beautifulsoup4==4.14.2
|
| 30 |
+
bleach==6.3.0
|
| 31 |
+
blinker==1.9.0
|
| 32 |
+
calvin_env==0.0.1
|
| 33 |
+
certifi==2025.10.5
|
| 34 |
+
cffi==2.0.0
|
| 35 |
+
charset-normalizer==3.4.4
|
| 36 |
+
click==8.3.0
|
| 37 |
+
cloudpickle==3.1.1
|
| 38 |
+
cmake==4.1.2
|
| 39 |
+
colorlog==6.10.1
|
| 40 |
+
comm==0.2.3
|
| 41 |
+
contourpy==1.3.2
|
| 42 |
+
cycler==0.12.1
|
| 43 |
+
datasets==3.0.0
|
| 44 |
+
debugpy==1.8.17
|
| 45 |
+
decorator==4.4.2
|
| 46 |
+
deepdiff==8.6.1
|
| 47 |
+
defusedxml==0.7.1
|
| 48 |
+
diffusers==0.35.2
|
| 49 |
+
dill==0.3.8
|
| 50 |
+
docopt==0.6.2
|
| 51 |
+
docstring_parser==0.17.0
|
| 52 |
+
draccus==0.10.0
|
| 53 |
+
easydict==1.13
|
| 54 |
+
einops==0.8.1
|
| 55 |
+
etils==1.13.0
|
| 56 |
+
evdev==1.9.2
|
| 57 |
+
exceptiongroup==1.3.0
|
| 58 |
+
executing==2.2.1
|
| 59 |
+
fasteners==0.20
|
| 60 |
+
fastjsonschema==2.21.2
|
| 61 |
+
filelock==3.20.0
|
| 62 |
+
Flask==3.1.2
|
| 63 |
+
flatbuffers==25.9.23
|
| 64 |
+
fonttools==4.60.1
|
| 65 |
+
fqdn==1.5.1
|
| 66 |
+
freetype-py==2.5.1
|
| 67 |
+
frozenlist==1.8.0
|
| 68 |
+
fsspec==2024.6.1
|
| 69 |
+
future==1.0.0
|
| 70 |
+
gast==0.6.0
|
| 71 |
+
gdown==5.2.0
|
| 72 |
+
gitdb==4.0.12
|
| 73 |
+
GitPython==3.1.45
|
| 74 |
+
glfw==2.10.0
|
| 75 |
+
google-pasta==0.2.0
|
| 76 |
+
grpcio==1.76.0
|
| 77 |
+
gym==0.26.2
|
| 78 |
+
gym-notices==0.1.0
|
| 79 |
+
gymnasium==0.29.1
|
| 80 |
+
h11==0.16.0
|
| 81 |
+
h5py==3.15.1
|
| 82 |
+
hf_transfer==0.1.9
|
| 83 |
+
hf-xet==1.2.0
|
| 84 |
+
httpcore==1.0.9
|
| 85 |
+
httpx==0.28.1
|
| 86 |
+
huggingface-hub==0.36.0
|
| 87 |
+
hydra-colorlog==1.2.0
|
| 88 |
+
hydra-core==1.1.1
|
| 89 |
+
idna==3.11
|
| 90 |
+
imageio==2.37.0
|
| 91 |
+
imageio-ffmpeg==0.6.0
|
| 92 |
+
importlib_metadata==8.7.0
|
| 93 |
+
importlib_resources==6.5.2
|
| 94 |
+
iniconfig==2.3.0
|
| 95 |
+
inquirerpy==0.3.4
|
| 96 |
+
ipykernel==7.1.0
|
| 97 |
+
ipython==8.37.0
|
| 98 |
+
iso8601==2.1.0
|
| 99 |
+
isoduration==20.11.0
|
| 100 |
+
itsdangerous==2.2.0
|
| 101 |
+
jedi==0.19.2
|
| 102 |
+
Jinja2==3.1.6
|
| 103 |
+
joblib==1.5.2
|
| 104 |
+
json5==0.12.1
|
| 105 |
+
jsonlines==4.0.0
|
| 106 |
+
jsonpointer==3.0.0
|
| 107 |
+
jsonschema==4.25.1
|
| 108 |
+
jsonschema-specifications==2025.9.1
|
| 109 |
+
jupyter_client==8.6.3
|
| 110 |
+
jupyter_core==5.9.1
|
| 111 |
+
jupyter-events==0.12.0
|
| 112 |
+
jupyter-lsp==2.3.0
|
| 113 |
+
jupyter_server==2.17.0
|
| 114 |
+
jupyter_server_terminals==0.5.3
|
| 115 |
+
jupyterlab==4.4.10
|
| 116 |
+
jupyterlab_pygments==0.3.0
|
| 117 |
+
jupyterlab_server==2.28.0
|
| 118 |
+
jupytext==1.18.1
|
| 119 |
+
keras==3.12.0
|
| 120 |
+
kiwisolver==1.4.9
|
| 121 |
+
lark==1.3.1
|
| 122 |
+
lerobot==0.1.0
|
| 123 |
+
libclang==18.1.1
|
| 124 |
+
lightning-utilities==0.15.2
|
| 125 |
+
llvmlite==0.45.1
|
| 126 |
+
lxml==6.0.2
|
| 127 |
+
Markdown==3.10
|
| 128 |
+
markdown-it-py==4.0.0
|
| 129 |
+
MarkupSafe==3.0.3
|
| 130 |
+
matplotlib==3.10.7
|
| 131 |
+
matplotlib-inline==0.2.1
|
| 132 |
+
mdit-py-plugins==0.5.0
|
| 133 |
+
mdurl==0.1.2
|
| 134 |
+
mergedeep==1.3.4
|
| 135 |
+
mistune==3.1.4
|
| 136 |
+
ml_dtypes==0.5.4
|
| 137 |
+
moviepy==1.0.3
|
| 138 |
+
mpmath==1.3.0
|
| 139 |
+
mujoco==3.3.7
|
| 140 |
+
multidict==6.7.0
|
| 141 |
+
multiprocess==0.70.16
|
| 142 |
+
mypy_extensions==1.1.0
|
| 143 |
+
namex==0.1.0
|
| 144 |
+
narwhals==2.12.0
|
| 145 |
+
nbclient==0.10.2
|
| 146 |
+
nbconvert==7.16.6
|
| 147 |
+
nbformat==5.10.4
|
| 148 |
+
nest-asyncio==1.6.0
|
| 149 |
+
networkx==3.4.2
|
| 150 |
+
nltk==3.9.2
|
| 151 |
+
notebook_shim==0.2.4
|
| 152 |
+
num2words==0.5.14
|
| 153 |
+
numba==0.62.1
|
| 154 |
+
numcodecs==0.13.1
|
| 155 |
+
numpy==2.2.6
|
| 156 |
+
numpy-quaternion==2024.0.12
|
| 157 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 158 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 159 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 160 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 161 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 162 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 163 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 164 |
+
nvidia-curand-cu12==10.3.9.90
|
| 165 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 166 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 167 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 168 |
+
nvidia-ml-py==13.580.82
|
| 169 |
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nvidia-nccl-cu12==2.27.5
|
| 170 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 171 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 172 |
+
nvidia-nvtx-cu12==12.8.90
|
| 173 |
+
nvitop==1.5.3
|
| 174 |
+
omegaconf==2.1.2
|
| 175 |
+
opencv-python==4.12.0.88
|
| 176 |
+
opencv-python-headless==4.12.0.88
|
| 177 |
+
opt_einsum==3.4.0
|
| 178 |
+
optree==0.18.0
|
| 179 |
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orderly-set==5.5.0
|
| 180 |
+
overrides==7.7.0
|
| 181 |
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packaging==25.0
|
| 182 |
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pandas==2.3.3
|
| 183 |
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pandocfilters==1.5.1
|
| 184 |
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parso==0.8.5
|
| 185 |
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pexpect==4.9.0
|
| 186 |
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pfzy==0.3.4
|
| 187 |
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pillow==12.0.0
|
| 188 |
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pip==25.2
|
| 189 |
+
platformdirs==4.5.0
|
| 190 |
+
plotly==6.5.0
|
| 191 |
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pluggy==1.6.0
|
| 192 |
+
proglog==0.1.12
|
| 193 |
+
prometheus_client==0.23.1
|
| 194 |
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prompt_toolkit==3.0.52
|
| 195 |
+
propcache==0.4.1
|
| 196 |
+
protobuf==6.33.0
|
| 197 |
+
psutil==7.1.2
|
| 198 |
+
ptyprocess==0.7.0
|
| 199 |
+
pure_eval==0.2.3
|
| 200 |
+
pyarrow==22.0.0
|
| 201 |
+
pybullet==3.2.7
|
| 202 |
+
pycollada==0.6
|
| 203 |
+
pycparser==2.23
|
| 204 |
+
pydantic==2.12.3
|
| 205 |
+
pydantic_core==2.41.4
|
| 206 |
+
pyglet==2.1.11
|
| 207 |
+
Pygments==2.19.2
|
| 208 |
+
pyhash==0.9.3
|
| 209 |
+
pymunk==6.11.1
|
| 210 |
+
pynput==1.8.1
|
| 211 |
+
pyparsing==3.2.5
|
| 212 |
+
pyrender==0.1.45
|
| 213 |
+
pytest==8.4.2
|
| 214 |
+
python-dateutil==2.9.0.post0
|
| 215 |
+
python-dotenv==1.2.1
|
| 216 |
+
python-json-logger==4.0.0
|
| 217 |
+
python-xlib==0.33
|
| 218 |
+
pytorch-lightning==2.5.6
|
| 219 |
+
pytz==2025.2
|
| 220 |
+
PyYAML==6.0.3
|
| 221 |
+
pyyaml-include==1.4.1
|
| 222 |
+
pyzmq==27.1.0
|
| 223 |
+
referencing==0.37.0
|
| 224 |
+
regex==2025.10.23
|
| 225 |
+
requests==2.32.5
|
| 226 |
+
rerun-sdk==0.26.2
|
| 227 |
+
rfc3339-validator==0.1.4
|
| 228 |
+
rfc3986-validator==0.1.1
|
| 229 |
+
rfc3987-syntax==1.1.0
|
| 230 |
+
rich==14.2.0
|
| 231 |
+
robosuite==1.4.0
|
| 232 |
+
rpds-py==0.28.0
|
| 233 |
+
safetensors==0.6.2
|
| 234 |
+
scipy==1.15.3
|
| 235 |
+
sentry-sdk==2.43.0
|
| 236 |
+
serial==0.0.97
|
| 237 |
+
setuptools==57.5.0
|
| 238 |
+
shtab==1.7.2
|
| 239 |
+
six==1.17.0
|
| 240 |
+
smmap==5.0.2
|
| 241 |
+
sniffio==1.3.1
|
| 242 |
+
soupsieve==2.8
|
| 243 |
+
stack-data==0.6.3
|
| 244 |
+
sympy==1.14.0
|
| 245 |
+
tensorboard==2.20.0
|
| 246 |
+
tensorboard-data-server==0.7.2
|
| 247 |
+
tensorflow==2.20.0
|
| 248 |
+
termcolor==3.2.0
|
| 249 |
+
terminado==0.18.1
|
| 250 |
+
tinycss2==1.4.0
|
| 251 |
+
tokenizers==0.22.1
|
| 252 |
+
toml==0.10.2
|
| 253 |
+
tomli==2.3.0
|
| 254 |
+
torch==2.9.0
|
| 255 |
+
torchcodec==0.8.1
|
| 256 |
+
torchmetrics==1.8.2
|
| 257 |
+
torchvision==0.24.0
|
| 258 |
+
tornado==6.5.2
|
| 259 |
+
tqdm==4.67.1
|
| 260 |
+
traitlets==5.14.3
|
| 261 |
+
transformers==4.57.1
|
| 262 |
+
trimesh==4.9.0
|
| 263 |
+
triton==3.5.0
|
| 264 |
+
typeguard==4.4.4
|
| 265 |
+
typing_extensions==4.15.0
|
| 266 |
+
typing-inspect==0.9.0
|
| 267 |
+
typing-inspection==0.4.2
|
| 268 |
+
tyro==0.9.35
|
| 269 |
+
tzdata==2025.2
|
| 270 |
+
urdfpy==0.0.22
|
| 271 |
+
uri-template==1.3.0
|
| 272 |
+
urllib3==2.5.0
|
| 273 |
+
wandb==0.22.3
|
| 274 |
+
wcwidth==0.2.14
|
| 275 |
+
webcolors==25.10.0
|
| 276 |
+
webencodings==0.5.1
|
| 277 |
+
websocket-client==1.9.0
|
| 278 |
+
Werkzeug==3.1.3
|
| 279 |
+
wheel==0.45.1
|
| 280 |
+
wrapt==2.0.1
|
| 281 |
+
xxhash==3.6.0
|
| 282 |
+
yarl==1.22.0
|
| 283 |
+
zarr==2.18.3
|
| 284 |
+
zipp==3.23.0
|
| 285 |
+
Calvin==0.0.1
|
| 286 |
+
tacto==0.0.3
|
wandb/offline-run-20251125_164604-9pfedoc2/files/wandb-metadata.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"os": "Linux-4.18.0-553.77.1.el8_10.x86_64-x86_64-with-glibc2.28", "python": "CPython 3.10.19", "started_at": "2025-11-25T15:46:04.697019Z", "args": ["--policy.path=/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/smol_pretrained/smolvla_base", "--dataset.root=/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot", "--output_dir=outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers", "--job_name=libero_100%_baseline_correct_ourdata_16layers", "--config_path=configs/smolvla_config/other_default.json", "--batch_size=64", "--steps=100000", "--policy.gradient_accumulation_steps=1", "--wandb.mode=offline", "--log_freq=10"], "program": "/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/lerobot/scripts/train_accelerate.py", "code_path": "lerobot/scripts/train_accelerate.py", "code_path_local": "lerobot/scripts/train_accelerate.py", "git": {"remote_url": "git@github-binh:jibby2803/Smolvla_capstone_project.git", "commit": "dfb283852050a8f12eed8f55fe1f6288e61d5631"}, "root": "outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers", "host": "ggpu192", "executable": "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/bin/python3.10", "cpu_count": 64, "cpu_count_logical": 128, "disk": {"/": {"total": "270465425408", "used": "7019655168"}}, "memory": {"total": "540930854912"}, "slurm": {"job_id": "11843069", "mpi_type": "pmi2"}, "writer_id": "lgwa15frjqp6wcmzj791p626bybvxka3"}
|
wandb/offline-run-20251125_164604-9pfedoc2/files/wandb-summary.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"_runtime": 715.090969843, "train/steps": 940, "train/samples": 60160, "train/episodes": 373.5510784756852, "train/lr": 9.355644355644357e-05, "train/update_s": 0.5461083309724927, "_step": 940, "train/loss": 0.5534406304359436, "train/dataloading_s": 0.07810506564565003, "train/l1_infer_loss": 0.18041372299194336, "train/losses_after_rm_padding": {"_type": "histogram", "values": [18850, 1994, 739, 349, 178, 100, 51, 43, 19, 14, 16, 12, 10, 6, 4, 4, 2, 2, 1, 1, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1], "bins": [3.525180147789797e-10, 0.9734851717948914, 1.9469703435897827, 2.9204554557800293, 3.8939406871795654, 4.867425918579102, 5.840910911560059, 6.814396381378174, 7.787881374359131, 8.761366844177246, 9.734851837158203, 10.70833683013916, 11.681821823120117, 12.655306816101074, 13.628792762756348, 14.602277755737305, 15.575762748718262, 16.54924774169922, 17.522733688354492, 18.496217727661133, 19.469703674316406, 20.443187713623047, 21.41667366027832, 22.390159606933594, 23.363643646240234, 24.337129592895508, 25.31061363220215, 26.284099578857422, 27.257585525512695, 28.231069564819336, 29.20455551147461, 30.17803955078125, 31.151525497436523]}, "_timestamp": 1764086273.606005, "train/epochs": 0.22288250505709142, "train/grad_norm": 1.8514286398887634, "train/losses_after_forward": {"values": [91184, 7592, 2086, 722, 332, 185, 102, 64, 25, 31, 20, 16, 12, 6, 7, 4, 2, 3, 1, 1, 2, 1, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1], "bins": [3.502833578750142e-10, 0.9734851717948914, 1.9469703435897827, 2.9204554557800293, 3.8939406871795654, 4.867425918579102, 5.840910911560059, 6.814396381378174, 7.787881374359131, 8.761366844177246, 9.734851837158203, 10.70833683013916, 11.681821823120117, 12.655306816101074, 13.628792762756348, 14.602277755737305, 15.575762748718262, 16.54924774169922, 17.522733688354492, 18.496217727661133, 19.469703674316406, 20.443187713623047, 21.41667366027832, 22.390159606933594, 23.363643646240234, 24.337129592895508, 25.31061363220215, 26.284099578857422, 27.257585525512695, 28.231069564819336, 29.20455551147461, 30.17803955078125, 31.151525497436523], "_type": "histogram"}}
|
wandb/offline-run-20251125_164604-9pfedoc2/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,13 @@
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| 1 |
+
{"time":"2025-11-25T16:46:05.015882696+01:00","level":"INFO","msg":"stream: starting","core version":"0.22.3"}
|
| 2 |
+
{"time":"2025-11-25T16:46:05.043015391+01:00","level":"ERROR","msg":"monitor: failed to initialize GPU resource: monitor: could not create portfile"}
|
| 3 |
+
{"time":"2025-11-25T16:46:05.04764724+01:00","level":"WARN","msg":"featurechecker: GraphQL client is nil, skipping feature loading"}
|
| 4 |
+
{"time":"2025-11-25T16:46:05.04767725+01:00","level":"INFO","msg":"stream: created new stream","id":"9pfedoc2"}
|
| 5 |
+
{"time":"2025-11-25T16:46:05.04771682+01:00","level":"INFO","msg":"handler: started","stream_id":"9pfedoc2"}
|
| 6 |
+
{"time":"2025-11-25T16:46:05.052510888+01:00","level":"INFO","msg":"stream: started","id":"9pfedoc2"}
|
| 7 |
+
{"time":"2025-11-25T16:46:05.052539058+01:00","level":"INFO","msg":"writer: started","stream_id":"9pfedoc2"}
|
| 8 |
+
{"time":"2025-11-25T16:46:05.052594907+01:00","level":"INFO","msg":"sender: started","stream_id":"9pfedoc2"}
|
| 9 |
+
{"time":"2025-11-25T16:46:05.053134815+01:00","level":"WARN","msg":"runupserter: server does not expand metric globs but the x_server_side_expand_glob_metrics setting is set; ignoring"}
|
| 10 |
+
{"time":"2025-11-26T07:51:49.212680091+01:00","level":"INFO","msg":"stream: closing","id":"9pfedoc2"}
|
| 11 |
+
{"time":"2025-11-26T07:51:49.249863793+01:00","level":"INFO","msg":"handler: closed","stream_id":"9pfedoc2"}
|
| 12 |
+
{"time":"2025-11-26T07:51:49.255411083+01:00","level":"INFO","msg":"sender: closed","stream_id":"9pfedoc2"}
|
| 13 |
+
{"time":"2025-11-26T07:51:49.255443983+01:00","level":"INFO","msg":"stream: closed","id":"9pfedoc2"}
|
wandb/offline-run-20251125_164604-9pfedoc2/logs/debug.log
ADDED
|
@@ -0,0 +1,36 @@
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| 1 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
|
| 2 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_setup.py:_flush():81] Configure stats pid to 1847712
|
| 3 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_setup.py:_flush():81] Loading settings from /user/hominhduy.nguyen/u15271/.config/wandb/settings
|
| 4 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_setup.py:_flush():81] Loading settings from /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/wandb/settings
|
| 5 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-11-25 16:46:04,726 INFO MainThread:1847712 [wandb_init.py:setup_run_log_directory():706] Logging user logs to outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251125_164604-9pfedoc2/logs/debug.log
|
| 7 |
+
2025-11-25 16:46:04,727 INFO MainThread:1847712 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251125_164604-9pfedoc2/logs/debug-internal.log
|
| 8 |
+
2025-11-25 16:46:04,727 INFO MainThread:1847712 [wandb_init.py:init():833] calling init triggers
|
| 9 |
+
2025-11-25 16:46:04,727 INFO MainThread:1847712 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': 'outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': False, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
|
| 11 |
+
2025-11-25 16:46:04,727 INFO MainThread:1847712 [wandb_init.py:init():881] starting backend
|
| 12 |
+
2025-11-25 16:46:04,942 INFO MainThread:1847712 [wandb_init.py:init():884] sending inform_init request
|
| 13 |
+
2025-11-25 16:46:04,949 INFO MainThread:1847712 [wandb_init.py:init():892] backend started and connected
|
| 14 |
+
2025-11-25 16:46:04,951 INFO MainThread:1847712 [wandb_init.py:init():962] updated telemetry
|
| 15 |
+
2025-11-25 16:46:04,964 INFO MainThread:1847712 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-11-25 16:46:05,055 INFO MainThread:1847712 [wandb_init.py:init():1033] starting run threads in backend
|
| 17 |
+
2025-11-25 16:46:05,355 INFO MainThread:1847712 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-11-25 16:46:05,356 INFO MainThread:1847712 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-11-25 16:46:05,356 INFO MainThread:1847712 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-11-25 16:46:05,356 INFO MainThread:1847712 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-11-25 16:46:05,358 INFO MainThread:1847712 [wandb_init.py:init():1073] run started, returning control to user process
|
| 22 |
+
2025-11-26 07:51:49,142 INFO wandb-AsyncioManager-main:1847712 [service_client.py:_forward_responses():80] Reached EOF.
|
| 23 |
+
2025-11-26 07:51:49,143 INFO wandb-AsyncioManager-main:1847712 [mailbox.py:close():137] Closing mailbox, abandoning 0 handles.
|
| 24 |
+
2025-11-26 07:51:49,382 ERROR wandb-AsyncioManager-main:1847712 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
|
| 25 |
+
Traceback (most recent call last):
|
| 26 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
|
| 27 |
+
await fn()
|
| 28 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 38, in publish
|
| 29 |
+
await self._send_server_request(request)
|
| 30 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 64, in _send_server_request
|
| 31 |
+
await self._writer.drain()
|
| 32 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
|
| 33 |
+
await self._protocol._drain_helper()
|
| 34 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
|
| 35 |
+
raise ConnectionResetError('Connection lost')
|
| 36 |
+
ConnectionResetError: Connection lost
|
wandb/offline-run-20251125_164604-9pfedoc2/run-9pfedoc2.wandb
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:95ef7c2561f6b91df37d40866f90f99e93221cf94f0ec79779e39dbae28b6b41
|
| 3 |
+
size 38121938
|
wandb/offline-run-20251126_082603-9pfedoc2/files/config.yaml
ADDED
|
@@ -0,0 +1,362 @@
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| 361 |
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run_id: null
|
| 362 |
+
mode: offline
|
wandb/offline-run-20251126_082603-9pfedoc2/files/output.log
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
wandb/offline-run-20251126_082603-9pfedoc2/files/requirements.txt
ADDED
|
@@ -0,0 +1,286 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
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|
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|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
PySocks==1.7.1
|
| 2 |
+
beautifulsoup4==4.14.2
|
| 3 |
+
gdown==5.2.0
|
| 4 |
+
soupsieve==2.8
|
| 5 |
+
Farama-Notifications==0.0.4
|
| 6 |
+
PyOpenGL==3.1.0
|
| 7 |
+
PySocks==1.7.1
|
| 8 |
+
Send2Trash==1.8.3
|
| 9 |
+
absl-py==2.3.1
|
| 10 |
+
accelerate==1.11.0
|
| 11 |
+
aiohappyeyeballs==2.6.1
|
| 12 |
+
aiohttp==3.13.2
|
| 13 |
+
aiosignal==1.4.0
|
| 14 |
+
annotated-types==0.7.0
|
| 15 |
+
antlr4-python3-runtime==4.8
|
| 16 |
+
anyio==4.11.0
|
| 17 |
+
argon2-cffi==25.1.0
|
| 18 |
+
argon2-cffi-bindings==25.1.0
|
| 19 |
+
arrow==1.4.0
|
| 20 |
+
asciitree==0.3.3
|
| 21 |
+
asttokens==3.0.0
|
| 22 |
+
astunparse==1.6.3
|
| 23 |
+
async-lru==2.0.5
|
| 24 |
+
async-timeout==5.0.1
|
| 25 |
+
attrs==25.4.0
|
| 26 |
+
av==16.0.1
|
| 27 |
+
babel==2.17.0
|
| 28 |
+
bddl==3.6.0
|
| 29 |
+
beautifulsoup4==4.14.2
|
| 30 |
+
bleach==6.3.0
|
| 31 |
+
blinker==1.9.0
|
| 32 |
+
calvin_env==0.0.1
|
| 33 |
+
certifi==2025.10.5
|
| 34 |
+
cffi==2.0.0
|
| 35 |
+
charset-normalizer==3.4.4
|
| 36 |
+
click==8.3.0
|
| 37 |
+
cloudpickle==3.1.1
|
| 38 |
+
cmake==4.1.2
|
| 39 |
+
colorlog==6.10.1
|
| 40 |
+
comm==0.2.3
|
| 41 |
+
contourpy==1.3.2
|
| 42 |
+
cycler==0.12.1
|
| 43 |
+
datasets==3.0.0
|
| 44 |
+
debugpy==1.8.17
|
| 45 |
+
decorator==4.4.2
|
| 46 |
+
deepdiff==8.6.1
|
| 47 |
+
defusedxml==0.7.1
|
| 48 |
+
diffusers==0.35.2
|
| 49 |
+
dill==0.3.8
|
| 50 |
+
docopt==0.6.2
|
| 51 |
+
docstring_parser==0.17.0
|
| 52 |
+
draccus==0.10.0
|
| 53 |
+
easydict==1.13
|
| 54 |
+
einops==0.8.1
|
| 55 |
+
etils==1.13.0
|
| 56 |
+
evdev==1.9.2
|
| 57 |
+
exceptiongroup==1.3.0
|
| 58 |
+
executing==2.2.1
|
| 59 |
+
fasteners==0.20
|
| 60 |
+
fastjsonschema==2.21.2
|
| 61 |
+
filelock==3.20.0
|
| 62 |
+
Flask==3.1.2
|
| 63 |
+
flatbuffers==25.9.23
|
| 64 |
+
fonttools==4.60.1
|
| 65 |
+
fqdn==1.5.1
|
| 66 |
+
freetype-py==2.5.1
|
| 67 |
+
frozenlist==1.8.0
|
| 68 |
+
fsspec==2024.6.1
|
| 69 |
+
future==1.0.0
|
| 70 |
+
gast==0.6.0
|
| 71 |
+
gdown==5.2.0
|
| 72 |
+
gitdb==4.0.12
|
| 73 |
+
GitPython==3.1.45
|
| 74 |
+
glfw==2.10.0
|
| 75 |
+
google-pasta==0.2.0
|
| 76 |
+
grpcio==1.76.0
|
| 77 |
+
gym==0.26.2
|
| 78 |
+
gym-notices==0.1.0
|
| 79 |
+
gymnasium==0.29.1
|
| 80 |
+
h11==0.16.0
|
| 81 |
+
h5py==3.15.1
|
| 82 |
+
hf_transfer==0.1.9
|
| 83 |
+
hf-xet==1.2.0
|
| 84 |
+
httpcore==1.0.9
|
| 85 |
+
httpx==0.28.1
|
| 86 |
+
huggingface-hub==0.36.0
|
| 87 |
+
hydra-colorlog==1.2.0
|
| 88 |
+
hydra-core==1.1.1
|
| 89 |
+
idna==3.11
|
| 90 |
+
imageio==2.37.0
|
| 91 |
+
imageio-ffmpeg==0.6.0
|
| 92 |
+
importlib_metadata==8.7.0
|
| 93 |
+
importlib_resources==6.5.2
|
| 94 |
+
iniconfig==2.3.0
|
| 95 |
+
inquirerpy==0.3.4
|
| 96 |
+
ipykernel==7.1.0
|
| 97 |
+
ipython==8.37.0
|
| 98 |
+
iso8601==2.1.0
|
| 99 |
+
isoduration==20.11.0
|
| 100 |
+
itsdangerous==2.2.0
|
| 101 |
+
jedi==0.19.2
|
| 102 |
+
Jinja2==3.1.6
|
| 103 |
+
joblib==1.5.2
|
| 104 |
+
json5==0.12.1
|
| 105 |
+
jsonlines==4.0.0
|
| 106 |
+
jsonpointer==3.0.0
|
| 107 |
+
jsonschema==4.25.1
|
| 108 |
+
jsonschema-specifications==2025.9.1
|
| 109 |
+
jupyter_client==8.6.3
|
| 110 |
+
jupyter_core==5.9.1
|
| 111 |
+
jupyter-events==0.12.0
|
| 112 |
+
jupyter-lsp==2.3.0
|
| 113 |
+
jupyter_server==2.17.0
|
| 114 |
+
jupyter_server_terminals==0.5.3
|
| 115 |
+
jupyterlab==4.4.10
|
| 116 |
+
jupyterlab_pygments==0.3.0
|
| 117 |
+
jupyterlab_server==2.28.0
|
| 118 |
+
jupytext==1.18.1
|
| 119 |
+
keras==3.12.0
|
| 120 |
+
kiwisolver==1.4.9
|
| 121 |
+
lark==1.3.1
|
| 122 |
+
lerobot==0.1.0
|
| 123 |
+
libclang==18.1.1
|
| 124 |
+
lightning-utilities==0.15.2
|
| 125 |
+
llvmlite==0.45.1
|
| 126 |
+
lxml==6.0.2
|
| 127 |
+
Markdown==3.10
|
| 128 |
+
markdown-it-py==4.0.0
|
| 129 |
+
MarkupSafe==3.0.3
|
| 130 |
+
matplotlib==3.10.7
|
| 131 |
+
matplotlib-inline==0.2.1
|
| 132 |
+
mdit-py-plugins==0.5.0
|
| 133 |
+
mdurl==0.1.2
|
| 134 |
+
mergedeep==1.3.4
|
| 135 |
+
mistune==3.1.4
|
| 136 |
+
ml_dtypes==0.5.4
|
| 137 |
+
moviepy==1.0.3
|
| 138 |
+
mpmath==1.3.0
|
| 139 |
+
mujoco==3.3.7
|
| 140 |
+
multidict==6.7.0
|
| 141 |
+
multiprocess==0.70.16
|
| 142 |
+
mypy_extensions==1.1.0
|
| 143 |
+
namex==0.1.0
|
| 144 |
+
narwhals==2.12.0
|
| 145 |
+
nbclient==0.10.2
|
| 146 |
+
nbconvert==7.16.6
|
| 147 |
+
nbformat==5.10.4
|
| 148 |
+
nest-asyncio==1.6.0
|
| 149 |
+
networkx==3.4.2
|
| 150 |
+
nltk==3.9.2
|
| 151 |
+
notebook_shim==0.2.4
|
| 152 |
+
num2words==0.5.14
|
| 153 |
+
numba==0.62.1
|
| 154 |
+
numcodecs==0.13.1
|
| 155 |
+
numpy==2.2.6
|
| 156 |
+
numpy-quaternion==2024.0.12
|
| 157 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 158 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 159 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 160 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 161 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 162 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 163 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 164 |
+
nvidia-curand-cu12==10.3.9.90
|
| 165 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 166 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 167 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 168 |
+
nvidia-ml-py==13.580.82
|
| 169 |
+
nvidia-nccl-cu12==2.27.5
|
| 170 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 171 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 172 |
+
nvidia-nvtx-cu12==12.8.90
|
| 173 |
+
nvitop==1.5.3
|
| 174 |
+
omegaconf==2.1.2
|
| 175 |
+
opencv-python==4.12.0.88
|
| 176 |
+
opencv-python-headless==4.12.0.88
|
| 177 |
+
opt_einsum==3.4.0
|
| 178 |
+
optree==0.18.0
|
| 179 |
+
orderly-set==5.5.0
|
| 180 |
+
overrides==7.7.0
|
| 181 |
+
packaging==25.0
|
| 182 |
+
pandas==2.3.3
|
| 183 |
+
pandocfilters==1.5.1
|
| 184 |
+
parso==0.8.5
|
| 185 |
+
pexpect==4.9.0
|
| 186 |
+
pfzy==0.3.4
|
| 187 |
+
pillow==12.0.0
|
| 188 |
+
pip==25.2
|
| 189 |
+
platformdirs==4.5.0
|
| 190 |
+
plotly==6.5.0
|
| 191 |
+
pluggy==1.6.0
|
| 192 |
+
proglog==0.1.12
|
| 193 |
+
prometheus_client==0.23.1
|
| 194 |
+
prompt_toolkit==3.0.52
|
| 195 |
+
propcache==0.4.1
|
| 196 |
+
protobuf==6.33.0
|
| 197 |
+
psutil==7.1.2
|
| 198 |
+
ptyprocess==0.7.0
|
| 199 |
+
pure_eval==0.2.3
|
| 200 |
+
pyarrow==22.0.0
|
| 201 |
+
pybullet==3.2.7
|
| 202 |
+
pycollada==0.6
|
| 203 |
+
pycparser==2.23
|
| 204 |
+
pydantic==2.12.3
|
| 205 |
+
pydantic_core==2.41.4
|
| 206 |
+
pyglet==2.1.11
|
| 207 |
+
Pygments==2.19.2
|
| 208 |
+
pyhash==0.9.3
|
| 209 |
+
pymunk==6.11.1
|
| 210 |
+
pynput==1.8.1
|
| 211 |
+
pyparsing==3.2.5
|
| 212 |
+
pyrender==0.1.45
|
| 213 |
+
pytest==8.4.2
|
| 214 |
+
python-dateutil==2.9.0.post0
|
| 215 |
+
python-dotenv==1.2.1
|
| 216 |
+
python-json-logger==4.0.0
|
| 217 |
+
python-xlib==0.33
|
| 218 |
+
pytorch-lightning==2.5.6
|
| 219 |
+
pytz==2025.2
|
| 220 |
+
PyYAML==6.0.3
|
| 221 |
+
pyyaml-include==1.4.1
|
| 222 |
+
pyzmq==27.1.0
|
| 223 |
+
referencing==0.37.0
|
| 224 |
+
regex==2025.10.23
|
| 225 |
+
requests==2.32.5
|
| 226 |
+
rerun-sdk==0.26.2
|
| 227 |
+
rfc3339-validator==0.1.4
|
| 228 |
+
rfc3986-validator==0.1.1
|
| 229 |
+
rfc3987-syntax==1.1.0
|
| 230 |
+
rich==14.2.0
|
| 231 |
+
robosuite==1.4.0
|
| 232 |
+
rpds-py==0.28.0
|
| 233 |
+
safetensors==0.6.2
|
| 234 |
+
scipy==1.15.3
|
| 235 |
+
sentry-sdk==2.43.0
|
| 236 |
+
serial==0.0.97
|
| 237 |
+
setuptools==57.5.0
|
| 238 |
+
shtab==1.7.2
|
| 239 |
+
six==1.17.0
|
| 240 |
+
smmap==5.0.2
|
| 241 |
+
sniffio==1.3.1
|
| 242 |
+
soupsieve==2.8
|
| 243 |
+
stack-data==0.6.3
|
| 244 |
+
sympy==1.14.0
|
| 245 |
+
tensorboard==2.20.0
|
| 246 |
+
tensorboard-data-server==0.7.2
|
| 247 |
+
tensorflow==2.20.0
|
| 248 |
+
termcolor==3.2.0
|
| 249 |
+
terminado==0.18.1
|
| 250 |
+
tinycss2==1.4.0
|
| 251 |
+
tokenizers==0.22.1
|
| 252 |
+
toml==0.10.2
|
| 253 |
+
tomli==2.3.0
|
| 254 |
+
torch==2.9.0
|
| 255 |
+
torchcodec==0.8.1
|
| 256 |
+
torchmetrics==1.8.2
|
| 257 |
+
torchvision==0.24.0
|
| 258 |
+
tornado==6.5.2
|
| 259 |
+
tqdm==4.67.1
|
| 260 |
+
traitlets==5.14.3
|
| 261 |
+
transformers==4.57.1
|
| 262 |
+
trimesh==4.9.0
|
| 263 |
+
triton==3.5.0
|
| 264 |
+
typeguard==4.4.4
|
| 265 |
+
typing_extensions==4.15.0
|
| 266 |
+
typing-inspect==0.9.0
|
| 267 |
+
typing-inspection==0.4.2
|
| 268 |
+
tyro==0.9.35
|
| 269 |
+
tzdata==2025.2
|
| 270 |
+
urdfpy==0.0.22
|
| 271 |
+
uri-template==1.3.0
|
| 272 |
+
urllib3==2.5.0
|
| 273 |
+
wandb==0.22.3
|
| 274 |
+
wcwidth==0.2.14
|
| 275 |
+
webcolors==25.10.0
|
| 276 |
+
webencodings==0.5.1
|
| 277 |
+
websocket-client==1.9.0
|
| 278 |
+
Werkzeug==3.1.3
|
| 279 |
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wheel==0.45.1
|
| 280 |
+
wrapt==2.0.1
|
| 281 |
+
xxhash==3.6.0
|
| 282 |
+
yarl==1.22.0
|
| 283 |
+
zarr==2.18.3
|
| 284 |
+
zipp==3.23.0
|
| 285 |
+
Calvin==0.0.1
|
| 286 |
+
tacto==0.0.3
|
wandb/offline-run-20251126_082603-9pfedoc2/files/wandb-metadata.json
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wandb/offline-run-20251126_082603-9pfedoc2/files/wandb-summary.json
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| 7 |
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2025-11-26 08:26:03,328 INFO MainThread:2028059 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251126_082603-9pfedoc2/logs/debug-internal.log
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| 8 |
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2025-11-26 08:26:03,328 INFO MainThread:2028059 [wandb_init.py:init():833] calling init triggers
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2025-11-26 08:26:03,329 INFO MainThread:2028059 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
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| 10 |
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config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.image_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}, 'observation.states.ee_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.states.joint_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [7]}, 'observation.states.gripper_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [2]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': '/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': True, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
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2025-11-26 08:26:04,760 INFO MainThread:2028059 [wandb_run.py:_console_start():2506] atexit reg
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wandb/offline-run-20251126_082603-9pfedoc2/run-9pfedoc2.wandb
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|
|
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|
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|
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|
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|
|
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|
|
|
|
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|
|
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|
|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
PySocks==1.7.1
|
| 2 |
+
beautifulsoup4==4.14.2
|
| 3 |
+
gdown==5.2.0
|
| 4 |
+
soupsieve==2.8
|
| 5 |
+
Farama-Notifications==0.0.4
|
| 6 |
+
PyOpenGL==3.1.0
|
| 7 |
+
PySocks==1.7.1
|
| 8 |
+
Send2Trash==1.8.3
|
| 9 |
+
absl-py==2.3.1
|
| 10 |
+
accelerate==1.11.0
|
| 11 |
+
aiohappyeyeballs==2.6.1
|
| 12 |
+
aiohttp==3.13.2
|
| 13 |
+
aiosignal==1.4.0
|
| 14 |
+
annotated-types==0.7.0
|
| 15 |
+
antlr4-python3-runtime==4.8
|
| 16 |
+
anyio==4.11.0
|
| 17 |
+
argon2-cffi==25.1.0
|
| 18 |
+
argon2-cffi-bindings==25.1.0
|
| 19 |
+
arrow==1.4.0
|
| 20 |
+
asciitree==0.3.3
|
| 21 |
+
asttokens==3.0.0
|
| 22 |
+
astunparse==1.6.3
|
| 23 |
+
async-lru==2.0.5
|
| 24 |
+
async-timeout==5.0.1
|
| 25 |
+
attrs==25.4.0
|
| 26 |
+
av==16.0.1
|
| 27 |
+
babel==2.17.0
|
| 28 |
+
bddl==3.6.0
|
| 29 |
+
beautifulsoup4==4.14.2
|
| 30 |
+
bleach==6.3.0
|
| 31 |
+
blinker==1.9.0
|
| 32 |
+
calvin_env==0.0.1
|
| 33 |
+
certifi==2025.10.5
|
| 34 |
+
cffi==2.0.0
|
| 35 |
+
charset-normalizer==3.4.4
|
| 36 |
+
click==8.3.0
|
| 37 |
+
cloudpickle==3.1.1
|
| 38 |
+
cmake==4.1.2
|
| 39 |
+
colorlog==6.10.1
|
| 40 |
+
comm==0.2.3
|
| 41 |
+
contourpy==1.3.2
|
| 42 |
+
cycler==0.12.1
|
| 43 |
+
datasets==3.0.0
|
| 44 |
+
debugpy==1.8.17
|
| 45 |
+
decorator==4.4.2
|
| 46 |
+
deepdiff==8.6.1
|
| 47 |
+
defusedxml==0.7.1
|
| 48 |
+
diffusers==0.35.2
|
| 49 |
+
dill==0.3.8
|
| 50 |
+
docopt==0.6.2
|
| 51 |
+
docstring_parser==0.17.0
|
| 52 |
+
draccus==0.10.0
|
| 53 |
+
easydict==1.13
|
| 54 |
+
einops==0.8.1
|
| 55 |
+
etils==1.13.0
|
| 56 |
+
evdev==1.9.2
|
| 57 |
+
exceptiongroup==1.3.0
|
| 58 |
+
executing==2.2.1
|
| 59 |
+
fasteners==0.20
|
| 60 |
+
fastjsonschema==2.21.2
|
| 61 |
+
filelock==3.20.0
|
| 62 |
+
Flask==3.1.2
|
| 63 |
+
flatbuffers==25.9.23
|
| 64 |
+
fonttools==4.60.1
|
| 65 |
+
fqdn==1.5.1
|
| 66 |
+
freetype-py==2.5.1
|
| 67 |
+
frozenlist==1.8.0
|
| 68 |
+
fsspec==2024.6.1
|
| 69 |
+
future==1.0.0
|
| 70 |
+
gast==0.6.0
|
| 71 |
+
gdown==5.2.0
|
| 72 |
+
gitdb==4.0.12
|
| 73 |
+
GitPython==3.1.45
|
| 74 |
+
glfw==2.10.0
|
| 75 |
+
google-pasta==0.2.0
|
| 76 |
+
grpcio==1.76.0
|
| 77 |
+
gym==0.26.2
|
| 78 |
+
gym-notices==0.1.0
|
| 79 |
+
gymnasium==0.29.1
|
| 80 |
+
h11==0.16.0
|
| 81 |
+
h5py==3.15.1
|
| 82 |
+
hf_transfer==0.1.9
|
| 83 |
+
hf-xet==1.2.0
|
| 84 |
+
httpcore==1.0.9
|
| 85 |
+
httpx==0.28.1
|
| 86 |
+
huggingface-hub==0.36.0
|
| 87 |
+
hydra-colorlog==1.2.0
|
| 88 |
+
hydra-core==1.1.1
|
| 89 |
+
idna==3.11
|
| 90 |
+
imageio==2.37.0
|
| 91 |
+
imageio-ffmpeg==0.6.0
|
| 92 |
+
importlib_metadata==8.7.0
|
| 93 |
+
importlib_resources==6.5.2
|
| 94 |
+
iniconfig==2.3.0
|
| 95 |
+
inquirerpy==0.3.4
|
| 96 |
+
ipykernel==7.1.0
|
| 97 |
+
ipython==8.37.0
|
| 98 |
+
iso8601==2.1.0
|
| 99 |
+
isoduration==20.11.0
|
| 100 |
+
itsdangerous==2.2.0
|
| 101 |
+
jedi==0.19.2
|
| 102 |
+
Jinja2==3.1.6
|
| 103 |
+
joblib==1.5.2
|
| 104 |
+
json5==0.12.1
|
| 105 |
+
jsonlines==4.0.0
|
| 106 |
+
jsonpointer==3.0.0
|
| 107 |
+
jsonschema==4.25.1
|
| 108 |
+
jsonschema-specifications==2025.9.1
|
| 109 |
+
jupyter_client==8.6.3
|
| 110 |
+
jupyter_core==5.9.1
|
| 111 |
+
jupyter-events==0.12.0
|
| 112 |
+
jupyter-lsp==2.3.0
|
| 113 |
+
jupyter_server==2.17.0
|
| 114 |
+
jupyter_server_terminals==0.5.3
|
| 115 |
+
jupyterlab==4.4.10
|
| 116 |
+
jupyterlab_pygments==0.3.0
|
| 117 |
+
jupyterlab_server==2.28.0
|
| 118 |
+
jupytext==1.18.1
|
| 119 |
+
keras==3.12.0
|
| 120 |
+
kiwisolver==1.4.9
|
| 121 |
+
lark==1.3.1
|
| 122 |
+
lerobot==0.1.0
|
| 123 |
+
libclang==18.1.1
|
| 124 |
+
lightning-utilities==0.15.2
|
| 125 |
+
llvmlite==0.45.1
|
| 126 |
+
lxml==6.0.2
|
| 127 |
+
Markdown==3.10
|
| 128 |
+
markdown-it-py==4.0.0
|
| 129 |
+
MarkupSafe==3.0.3
|
| 130 |
+
matplotlib==3.10.7
|
| 131 |
+
matplotlib-inline==0.2.1
|
| 132 |
+
mdit-py-plugins==0.5.0
|
| 133 |
+
mdurl==0.1.2
|
| 134 |
+
mergedeep==1.3.4
|
| 135 |
+
mistune==3.1.4
|
| 136 |
+
ml_dtypes==0.5.4
|
| 137 |
+
moviepy==1.0.3
|
| 138 |
+
mpmath==1.3.0
|
| 139 |
+
mujoco==3.3.7
|
| 140 |
+
multidict==6.7.0
|
| 141 |
+
multiprocess==0.70.16
|
| 142 |
+
mypy_extensions==1.1.0
|
| 143 |
+
namex==0.1.0
|
| 144 |
+
narwhals==2.12.0
|
| 145 |
+
nbclient==0.10.2
|
| 146 |
+
nbconvert==7.16.6
|
| 147 |
+
nbformat==5.10.4
|
| 148 |
+
nest-asyncio==1.6.0
|
| 149 |
+
networkx==3.4.2
|
| 150 |
+
nltk==3.9.2
|
| 151 |
+
notebook_shim==0.2.4
|
| 152 |
+
num2words==0.5.14
|
| 153 |
+
numba==0.62.1
|
| 154 |
+
numcodecs==0.13.1
|
| 155 |
+
numpy==2.2.6
|
| 156 |
+
numpy-quaternion==2024.0.12
|
| 157 |
+
nvidia-cublas-cu12==12.8.4.1
|
| 158 |
+
nvidia-cuda-cupti-cu12==12.8.90
|
| 159 |
+
nvidia-cuda-nvrtc-cu12==12.8.93
|
| 160 |
+
nvidia-cuda-runtime-cu12==12.8.90
|
| 161 |
+
nvidia-cudnn-cu12==9.10.2.21
|
| 162 |
+
nvidia-cufft-cu12==11.3.3.83
|
| 163 |
+
nvidia-cufile-cu12==1.13.1.3
|
| 164 |
+
nvidia-curand-cu12==10.3.9.90
|
| 165 |
+
nvidia-cusolver-cu12==11.7.3.90
|
| 166 |
+
nvidia-cusparse-cu12==12.5.8.93
|
| 167 |
+
nvidia-cusparselt-cu12==0.7.1
|
| 168 |
+
nvidia-ml-py==13.580.82
|
| 169 |
+
nvidia-nccl-cu12==2.27.5
|
| 170 |
+
nvidia-nvjitlink-cu12==12.8.93
|
| 171 |
+
nvidia-nvshmem-cu12==3.3.20
|
| 172 |
+
nvidia-nvtx-cu12==12.8.90
|
| 173 |
+
nvitop==1.5.3
|
| 174 |
+
omegaconf==2.1.2
|
| 175 |
+
opencv-python==4.12.0.88
|
| 176 |
+
opencv-python-headless==4.12.0.88
|
| 177 |
+
opt_einsum==3.4.0
|
| 178 |
+
optree==0.18.0
|
| 179 |
+
orderly-set==5.5.0
|
| 180 |
+
overrides==7.7.0
|
| 181 |
+
packaging==25.0
|
| 182 |
+
pandas==2.3.3
|
| 183 |
+
pandocfilters==1.5.1
|
| 184 |
+
parso==0.8.5
|
| 185 |
+
pexpect==4.9.0
|
| 186 |
+
pfzy==0.3.4
|
| 187 |
+
pillow==12.0.0
|
| 188 |
+
pip==25.2
|
| 189 |
+
platformdirs==4.5.0
|
| 190 |
+
plotly==6.5.0
|
| 191 |
+
pluggy==1.6.0
|
| 192 |
+
proglog==0.1.12
|
| 193 |
+
prometheus_client==0.23.1
|
| 194 |
+
prompt_toolkit==3.0.52
|
| 195 |
+
propcache==0.4.1
|
| 196 |
+
protobuf==6.33.0
|
| 197 |
+
psutil==7.1.2
|
| 198 |
+
ptyprocess==0.7.0
|
| 199 |
+
pure_eval==0.2.3
|
| 200 |
+
pyarrow==22.0.0
|
| 201 |
+
pybullet==3.2.7
|
| 202 |
+
pycollada==0.6
|
| 203 |
+
pycparser==2.23
|
| 204 |
+
pydantic==2.12.3
|
| 205 |
+
pydantic_core==2.41.4
|
| 206 |
+
pyglet==2.1.11
|
| 207 |
+
Pygments==2.19.2
|
| 208 |
+
pyhash==0.9.3
|
| 209 |
+
pymunk==6.11.1
|
| 210 |
+
pynput==1.8.1
|
| 211 |
+
pyparsing==3.2.5
|
| 212 |
+
pyrender==0.1.45
|
| 213 |
+
pytest==8.4.2
|
| 214 |
+
python-dateutil==2.9.0.post0
|
| 215 |
+
python-dotenv==1.2.1
|
| 216 |
+
python-json-logger==4.0.0
|
| 217 |
+
python-xlib==0.33
|
| 218 |
+
pytorch-lightning==2.5.6
|
| 219 |
+
pytz==2025.2
|
| 220 |
+
PyYAML==6.0.3
|
| 221 |
+
pyyaml-include==1.4.1
|
| 222 |
+
pyzmq==27.1.0
|
| 223 |
+
referencing==0.37.0
|
| 224 |
+
regex==2025.10.23
|
| 225 |
+
requests==2.32.5
|
| 226 |
+
rerun-sdk==0.26.2
|
| 227 |
+
rfc3339-validator==0.1.4
|
| 228 |
+
rfc3986-validator==0.1.1
|
| 229 |
+
rfc3987-syntax==1.1.0
|
| 230 |
+
rich==14.2.0
|
| 231 |
+
robosuite==1.4.0
|
| 232 |
+
rpds-py==0.28.0
|
| 233 |
+
safetensors==0.6.2
|
| 234 |
+
scipy==1.15.3
|
| 235 |
+
sentry-sdk==2.43.0
|
| 236 |
+
serial==0.0.97
|
| 237 |
+
setuptools==57.5.0
|
| 238 |
+
shtab==1.7.2
|
| 239 |
+
six==1.17.0
|
| 240 |
+
smmap==5.0.2
|
| 241 |
+
sniffio==1.3.1
|
| 242 |
+
soupsieve==2.8
|
| 243 |
+
stack-data==0.6.3
|
| 244 |
+
sympy==1.14.0
|
| 245 |
+
tensorboard==2.20.0
|
| 246 |
+
tensorboard-data-server==0.7.2
|
| 247 |
+
tensorflow==2.20.0
|
| 248 |
+
termcolor==3.2.0
|
| 249 |
+
terminado==0.18.1
|
| 250 |
+
tinycss2==1.4.0
|
| 251 |
+
tokenizers==0.22.1
|
| 252 |
+
toml==0.10.2
|
| 253 |
+
tomli==2.3.0
|
| 254 |
+
torch==2.9.0
|
| 255 |
+
torchcodec==0.8.1
|
| 256 |
+
torchmetrics==1.8.2
|
| 257 |
+
torchvision==0.24.0
|
| 258 |
+
tornado==6.5.2
|
| 259 |
+
tqdm==4.67.1
|
| 260 |
+
traitlets==5.14.3
|
| 261 |
+
transformers==4.57.1
|
| 262 |
+
trimesh==4.9.0
|
| 263 |
+
triton==3.5.0
|
| 264 |
+
typeguard==4.4.4
|
| 265 |
+
typing_extensions==4.15.0
|
| 266 |
+
typing-inspect==0.9.0
|
| 267 |
+
typing-inspection==0.4.2
|
| 268 |
+
tyro==0.9.35
|
| 269 |
+
tzdata==2025.2
|
| 270 |
+
urdfpy==0.0.22
|
| 271 |
+
uri-template==1.3.0
|
| 272 |
+
urllib3==2.5.0
|
| 273 |
+
wandb==0.22.3
|
| 274 |
+
wcwidth==0.2.14
|
| 275 |
+
webcolors==25.10.0
|
| 276 |
+
webencodings==0.5.1
|
| 277 |
+
websocket-client==1.9.0
|
| 278 |
+
Werkzeug==3.1.3
|
| 279 |
+
wheel==0.45.1
|
| 280 |
+
wrapt==2.0.1
|
| 281 |
+
xxhash==3.6.0
|
| 282 |
+
yarl==1.22.0
|
| 283 |
+
zarr==2.18.3
|
| 284 |
+
zipp==3.23.0
|
| 285 |
+
Calvin==0.0.1
|
| 286 |
+
tacto==0.0.3
|
wandb/offline-run-20251127_082205-9pfedoc2/logs/debug-internal.log
ADDED
|
@@ -0,0 +1,13 @@
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|
| 1 |
+
{"time":"2025-11-27T08:22:07.559771448+01:00","level":"INFO","msg":"stream: starting","core version":"0.22.3"}
|
| 2 |
+
{"time":"2025-11-27T08:22:07.595802204+01:00","level":"ERROR","msg":"monitor: failed to initialize GPU resource: monitor: could not create portfile"}
|
| 3 |
+
{"time":"2025-11-27T08:22:07.61257113+01:00","level":"WARN","msg":"featurechecker: GraphQL client is nil, skipping feature loading"}
|
| 4 |
+
{"time":"2025-11-27T08:22:07.61263541+01:00","level":"INFO","msg":"stream: created new stream","id":"9pfedoc2"}
|
| 5 |
+
{"time":"2025-11-27T08:22:07.612673479+01:00","level":"INFO","msg":"handler: started","stream_id":"9pfedoc2"}
|
| 6 |
+
{"time":"2025-11-27T08:22:07.619536923+01:00","level":"INFO","msg":"stream: started","id":"9pfedoc2"}
|
| 7 |
+
{"time":"2025-11-27T08:22:07.619532523+01:00","level":"INFO","msg":"writer: started","stream_id":"9pfedoc2"}
|
| 8 |
+
{"time":"2025-11-27T08:22:07.619582552+01:00","level":"INFO","msg":"sender: started","stream_id":"9pfedoc2"}
|
| 9 |
+
{"time":"2025-11-27T08:22:07.620331957+01:00","level":"WARN","msg":"runupserter: server does not expand metric globs but the x_server_side_expand_glob_metrics setting is set; ignoring"}
|
| 10 |
+
{"time":"2025-11-27T14:52:02.440928489+01:00","level":"INFO","msg":"stream: closing","id":"9pfedoc2"}
|
| 11 |
+
{"time":"2025-11-27T14:52:02.448036743+01:00","level":"INFO","msg":"handler: closed","stream_id":"9pfedoc2"}
|
| 12 |
+
{"time":"2025-11-27T14:52:02.451416481+01:00","level":"INFO","msg":"sender: closed","stream_id":"9pfedoc2"}
|
| 13 |
+
{"time":"2025-11-27T14:52:02.451430391+01:00","level":"INFO","msg":"stream: closed","id":"9pfedoc2"}
|
wandb/offline-run-20251127_082205-9pfedoc2/logs/debug.log
ADDED
|
@@ -0,0 +1,36 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Current SDK version is 0.22.3
|
| 2 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Configure stats pid to 1740673
|
| 3 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /user/hominhduy.nguyen/u15271/.config/wandb/settings
|
| 4 |
+
2025-11-27 08:22:05,477 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from /mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/binh/Smolvla_capstone_project/wandb/settings
|
| 5 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_setup.py:_flush():81] Loading settings from environment variables
|
| 6 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():706] Logging user logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug.log
|
| 7 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:setup_run_log_directory():707] Logging internal logs to /projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers/wandb/offline-run-20251127_082205-9pfedoc2/logs/debug-internal.log
|
| 8 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():833] calling init triggers
|
| 9 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():838] wandb.init called with sweep_config: {}
|
| 10 |
+
config: {'dataset': {'repo_id': '.', 'root': '/mnt/vast-kisski/projects/kisski-umg-fairpact-2/VLA/LIBERO/merged_libero_scale_100_mask_depth_noops_lerobot', 'episodes': None, 'image_transforms': {'enable': True, 'max_num_transforms': 3, 'random_order': False, 'image_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}, 'crop_resize': {'weight': 1.0, 'type': 'RandomResizedCrop', 'kwargs': {'size': [256, 256], 'ratio': [1, 1], 'scale': [0.9, 0.95]}}, 'rotate': {'weight': 1.0, 'type': 'RandomRotate', 'kwargs': {'degrees': [-5, 5]}}}, 'wrist_tfs': {'hue': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'hue': [-0.05, 0.05]}}, 'contrast': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'contrast': [0.8, 1.2]}}, 'sharpness': {'weight': 1.0, 'type': 'SharpnessJitter', 'kwargs': {'sharpness': [0.5, 1.5]}}, 'brightness': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'brightness': [0.8, 1.2]}}, 'saturation': {'weight': 1.0, 'type': 'ColorJitter', 'kwargs': {'saturation': [0.5, 1.5]}}}}, 'revision': None, 'use_imagenet_stats': True, 'video_backend': 'torchcodec', 'vqa_data_path': None}, 'env': None, 'policy': {'type': 'smolvla', 'n_obs_steps': 1, 'normalization_mapping': {'VISUAL': <NormalizationMode.IDENTITY: 'IDENTITY'>, 'STATE': <NormalizationMode.MEAN_STD: 'MEAN_STD'>, 'ACTION': <NormalizationMode.MEAN_STD: 'MEAN_STD'>}, 'input_features': {'observation.images.image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_image': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.image_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.images.object_of_interest_wrist_mask': {'type': <FeatureType.VISUAL: 'VISUAL'>, 'shape': [3, 256, 256]}, 'observation.state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [8]}, 'observation.states.ee_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [6]}, 'observation.states.joint_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [7]}, 'observation.states.gripper_state': {'type': <FeatureType.STATE: 'STATE'>, 'shape': [2]}}, 'output_features': {'action': {'type': <FeatureType.ACTION: 'ACTION'>, 'shape': [7]}}, 'device': 'cuda', 'use_amp': False, 'gradient_accumulation_steps': 1, 'chunk_size': 50, 'n_action_steps': 50, 'max_state_dim': 32, 'max_action_dim': 32, 'resize_imgs_with_padding': [512, 512], 'empty_cameras': 0, 'adapt_to_pi_aloha': False, 'use_delta_joint_actions_aloha': False, 'tokenizer_max_length': 48, 'num_steps': 10, 'use_cache': True, 'freeze_vision_encoder': True, 'train_expert_only': True, 'train_state_proj': True, 'optimizer_lr': 0.0001, 'optimizer_betas': [0.9, 0.95], 'optimizer_eps': 1e-08, 'optimizer_weight_decay': 1e-10, 'optimizer_grad_clip_norm': 10.0, 'scheduler_warmup_steps': 1000, 'scheduler_decay_steps': 30000, 'scheduler_decay_lr': 2.5e-06, 'vlm_model_name': 'HuggingFaceTB/SmolVLM2-500M-Video-Instruct', 'load_vlm_weights': True, 'add_image_special_tokens': False, 'attention_mode': 'cross_attn', 'prefix_length': 0, 'pad_language_to': 'max_length', 'num_expert_layers': 0, 'num_vlm_layers': 16, 'self_attn_every_n_layers': 2, 'expert_width_multiplier': 0.75, 'min_period': 0.004, 'max_period': 4.0}, 'output_dir': '/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/VLA/binh/Smolvla_capstone_project/outputs/train/2025-11-25/16-45-46_libero_100%_baseline_correct_ourdata_16layers', 'job_name': 'libero_100%_baseline_correct_ourdata_16layers', 'resume': True, 'seed': 42, 'num_workers': 8, 'batch_size': 64, 'steps': 100000, 'eval_freq': 20000, 'log_freq': 10, 'save_checkpoint': True, 'save_freq': 10000, 'use_policy_training_preset': True, 'optimizer': {'type': 'adamw', 'lr': 0.0001, 'weight_decay': 1e-10, 'grad_clip_norm': 10.0, 'betas': [0.9, 0.95], 'eps': 1e-08}, 'scheduler': {'type': 'cosine_decay_with_warmup', 'num_warmup_steps': 1000, 'num_decay_steps': 30000, 'peak_lr': 0.0001, 'decay_lr': 2.5e-06}, 'eval': {'n_episodes': 50, 'batch_size': 50, 'use_async_envs': False}, 'wandb': {'enable': True, 'disable_artifact': True, 'project': 'smolvla', 'entity': 'Robotics_VLA', 'notes': None, 'run_id': None, 'mode': 'offline'}, '_wandb': {}}
|
| 11 |
+
2025-11-27 08:22:05,478 INFO MainThread:1740673 [wandb_init.py:init():881] starting backend
|
| 12 |
+
2025-11-27 08:22:07,375 INFO MainThread:1740673 [wandb_init.py:init():884] sending inform_init request
|
| 13 |
+
2025-11-27 08:22:07,391 INFO MainThread:1740673 [wandb_init.py:init():892] backend started and connected
|
| 14 |
+
2025-11-27 08:22:07,393 INFO MainThread:1740673 [wandb_init.py:init():962] updated telemetry
|
| 15 |
+
2025-11-27 08:22:07,425 INFO MainThread:1740673 [wandb_init.py:init():986] communicating run to backend with 90.0 second timeout
|
| 16 |
+
2025-11-27 08:22:07,623 INFO MainThread:1740673 [wandb_init.py:init():1033] starting run threads in backend
|
| 17 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_console_start():2506] atexit reg
|
| 18 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2354] redirect: wrap_raw
|
| 19 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2423] Wrapping output streams.
|
| 20 |
+
2025-11-27 08:22:08,898 INFO MainThread:1740673 [wandb_run.py:_redirect():2446] Redirects installed.
|
| 21 |
+
2025-11-27 08:22:08,921 INFO MainThread:1740673 [wandb_init.py:init():1073] run started, returning control to user process
|
| 22 |
+
2025-11-27 14:52:02,433 INFO wandb-AsyncioManager-main:1740673 [service_client.py:_forward_responses():80] Reached EOF.
|
| 23 |
+
2025-11-27 14:52:02,442 INFO wandb-AsyncioManager-main:1740673 [mailbox.py:close():137] Closing mailbox, abandoning 0 handles.
|
| 24 |
+
2025-11-27 14:52:02,547 ERROR wandb-AsyncioManager-main:1740673 [asyncio_manager.py:fn_wrap_exceptions():183] Uncaught exception in run_soon callback.
|
| 25 |
+
Traceback (most recent call last):
|
| 26 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/asyncio_manager.py", line 181, in fn_wrap_exceptions
|
| 27 |
+
await fn()
|
| 28 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 38, in publish
|
| 29 |
+
await self._send_server_request(request)
|
| 30 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/site-packages/wandb/sdk/lib/service/service_client.py", line 64, in _send_server_request
|
| 31 |
+
await self._writer.drain()
|
| 32 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 371, in drain
|
| 33 |
+
await self._protocol._drain_helper()
|
| 34 |
+
File "/projects/extern/kisski/kisski-umg-fairpact-2/dir.project/miniconda3/envs/smol/lib/python3.10/asyncio/streams.py", line 167, in _drain_helper
|
| 35 |
+
raise ConnectionResetError('Connection lost')
|
| 36 |
+
ConnectionResetError: Connection lost
|
wandb/offline-run-20251127_082205-9pfedoc2/run-9pfedoc2.wandb
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e9005d030f802c2f37e9b351ed427ab6e49bc850e26d40a847fc32107db8799f
|
| 3 |
+
size 15629400
|