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WAXAL Checkpoints (private backup)

PRIVATE checkpoint backup for the Google WAXAL ASR Challenge — pushed to free DICO disk quota; pull subfolders on demand. Each subfolder is a Wav2Vec2ForCTC fine-tune (char vocab) on WAXAL train (lin/sna/lug, joint, speaker-disjoint holdout).

subfolder base note
w2vbert_multi facebook/w2v-bert-2.0 CHAMPION (best clean+robust): band 0.1775 / corrupt 0.2250
xlsr_multi facebook/wav2vec2-xls-r-300m XLS-R baseline (0.1862 / 0.2456)
xlsr_aug facebook/wav2vec2-xls-r-300m + MCT augmentation (robustness: degradation +0.0484)
xlsr_robust facebook/wav2vec2-xls-r-300m + full MCT
xlsr_ext facebook/wav2vec2-xls-r-300m + FLEURS external
xlsr_pseudo facebook/wav2vec2-xls-r-300m + 3-model pseudo-labels (student)

Scoring metric = 0.5·WER + 0.5·CER on the speaker-disjoint holdout / MUSAN+RIR corrupted band.

Pull one

from huggingface_hub import snapshot_download
snapshot_download("anyantudre/waxal-checkpoints", allow_patterns="w2vbert_multi/*", local_dir="ckpt")

Bases are Apache-2.0; trained on google/WaxalNLP (respect its license). No Phase-1 test data used.

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