Views
No views yet
aswinkumar99/task1-all for SO101 sponge pick-and-place experiments.ResNet18_Weights.IMAGENET1K_V1) as recorded in the training config.aswinkumar99/task1-all/home/riftuser/datasets_combined/aswinkumar99/task1-all/home/riftuser/outputs_matrix/act/task1-all_bs32_s600003260000150008so101-layout-generalizationNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation EditionCPython 3.12.1312.92026-04-23T18:00:28.479251+00:002026-04-23T21:11:033h 10m 34sresnet18observation.images.overhead, observation.images.wrist1001001lerobot-train \
2 --dataset.repo_id=aswinkumar99/task1-all \
3 --dataset.root=/home/riftuser/datasets_combined/aswinkumar99/task1-all \
4 --dataset.video_backend=torchcodec \
5 --output_dir=/home/riftuser/outputs_matrix/act/task1-all_bs32_s60000 \
6 --job_name=act_task1-all_bs32 \
7 --batch_size=32 \
8 --steps=60000 \
9 --log_freq=200 \
10 --save_freq=15000 \
11 --save_checkpoint=true \
12 --num_workers=8 \
13 --wandb.enable=true \
14 --wandb.project=so101-layout-generalization \
15 --wandb.mode=online \
16 --wandb.disable_artifact=true \
17 --policy.type=act \
18 --policy.device=cuda \
19 --policy.push_to_hub=falsepretrained_model/: final downloadable model artifacts for inference/loadingtraining_state/: optimizer, RNG, scheduler/state, and step information for resuming or auditabilitylerobot-train.