Instructions to use FabianKerj/pi05_corkinbox100_fullrel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LeRobot
How to use FabianKerj/pi05_corkinbox100_fullrel with LeRobot:
- Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
base_model: lerobot/pi05_base
tags:
- lerobot
- pi05
- robotics
- vla
- flow-matching
datasets:
- FabianKerj/corkinbox100-fullrel
pi05_corkinbox100_fullrel -- Checkpoint 5000
Partial training run, step 5000 / 20000. Training was interrupted at step 7500 due to a disk-full event on the training host (97 GB root, each checkpoint ~23 GB, save_freq=2500 with no retention). This is the last clean checkpoint.
Config
- Base model: lerobot/pi05_base
- Dataset: FabianKerj/corkinbox100-fullrel (100 eps, 37036 frames, 30 fps, dk1_follower, 2 cameras)
- Relative actions on all 7 DOF (joint_1..6.pos + gripper.pos)
- Batch 64, dtype bf16, gradient_checkpointing on
- LR 2.5e-05 (warmup complete at step 500)
- Step 5000 metrics: loss ~0.008, grad_norm ~0.17
Contents
- Root: pretrained_model files (model.safetensors, config.json, train_config.json, pre/post-processors)
training_state/: optimizer / scheduler / rng state (needed to resume training)