LibriSpeech MMS Q-Former Aya

This checkpoint was trained on the full 960-hour LibriSpeech training set. During training, the MMS-300M speech encoder and Q-Former were trainable, while the Aya decoder remained frozen.

Evaluation

The model was evaluated on the LibriSpeech test-clean split.

Metric Score
Character error rate (CER) 2.80%
Word error rate (WER) 6.78%
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