Ablation checkpoint for the AffectScore rank sweep. Identical to the full r=32 model except Layer 1 V-A conditioning is removed: every training clip receives the generic string "music" regardless of its valence/arousal annotation. The LoRA adapter structure and Layer 2 style-text descriptor are otherwise unchanged.

This checkpoint represents the null baseline -- a LoRA adapter fine-tuned without any emotional conditioning. It is not intended for production use.

Code and Colab notebooks: github.com/LeeTgk/affectscore (link active after publication)

Training dataset: https://zenodo.org/records/21830658

All metrics computed on 200 held-out clips at 40 diffusion steps.

Valence r=0.005, arousal r=−0.012 confirms the null baseline: without V-A conditioning, music2emo-predicted emotion is uncorrelated with designer intent on either axis.

See affectscore-ace-step-r32-20260629 for the full variant table and evaluation discussion.

Citation will be added once the paper is published. If you use this model before then, please link to this repository.