taffc-arabic-checkpoints

TAFFC-2026-04-0506 — checkpoints

Companion checkpoints for Adaptive WavLM-HuBERT Fusion Mechanism for Cross-Lingual Speech Emotion Recognition: English-to-Arabic Transfer Learning (IEEE TAFFC, major revision).

Start with MANIFEST.csv — one row per checkpoint, saying in plain English what model it is, which data it was trained on, which seed, what the file is for, and whether it is worth keeping. 136 of 473 files are final models; 229 are disposable intermediate state (183 GB).

Why the paths look like that

Paths mirror the run directory tree on the compute server. That is deliberate: the sync tool decides "already uploaded, safe to delete locally" by comparing the repo path and size against the local file, so renaming anything here would make every file look un-uploaded and trigger a full re-upload of the repo. The meaning lives in MANIFEST.csv instead of in the filenames.

Decoding a run directory name

HPO_<regime>_<encoder>[_<corpus>][_Frozen]

The trap: every HPO_* run trains and tests on Arabic. Eng describes the initialisation, not the data. English-data runs have different names entirely (Combined, Cross_Attention, Emo2Vec_*, and the Arch_Ablation variants).

File roles