Fine-Tuning OpenVLA Robot AI on Colab

A reproducible 100-step LoRA fine-tuning run for OpenVLA was completed in Colab. The run used the openvla/openvla-7b checkpoint and the libero_spatial_no_noops RLDS dataset. Training metrics were logged and synced to Weights & Biases. LoRA trained only 1.4 percent of parameters, keeping the experiment small and verifiable.