| # Qwen3-Omni LoRA Evaluation | |
| - Base model: `<workspace-parent>/modelscope_models/Qwen__Qwen3-Omni-30B-A3B-Instruct` | |
| - Adapter: `<project>/checkpoints/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_lora/adapter_lora` | |
| - Dataset: `<project>/results/omni_finetune/xperience10m_qwen3_omni_128ep_96train_16val_16test_valmon_20260605_dataset/dataset.jsonl` | |
| - Eval split: `test` | |
| - Samples: `448` | |
| - Episodes: `14` | |
| - Accuracy: `0.0246` | |
| - Macro-F1: `0.0027` | |
| - Unseen eval labels: `144` | |
| Artifacts include `metrics.json`, `predictions.csv`, `per_class_metrics.csv`, and `confusion_matrix.csv`. | |