This repository contains the LoRA adapter from the first selected-episode validation-aware Qwen3-Omni diagnostic pilot for the Ropedia Xperience-10M task-suite project. It is a real held-out-episode run, but it is not a strong model-quality result yet. The adapter is useful as a reproducible baseline, an error-analysis starting point, and a concrete bridge from the public sample task suite toward larger Xperience-10M fine-tuning.

The selected gated-data split used for this diagnostic pilot was:

The training job used the train split for optimization and the validation split for validation-loss monitoring. The metrics below are computed on held-out test episodes.

Raw Xperience-10M MP4/HDF5/RRD files and Qwen base weights are not included in this repository.

The JSON-validity target for the next run is at least 0.98. This pilot falls short of that target, so the next pass should improve structured-output constraints, target formatting, and action/subtask error analysis before expanding the scale.

Use this adapter to inspect the exact diagnostic LoRA checkpoint produced by the project, compare future structured-output and error-analysis passes against this baseline, and study failure modes on the exported held-out predictions. It should not be presented as a production robot policy or a high-quality embodied foundation model.