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A team fine-tuned a speech model on AMI corpus training data to climb from rank 26 to rank 16 on the Hugging Face Open ASR Leaderboard. The word error rate dropped from 6.90 to 6.38. Overlap correction and language hints contributed gains. The fine-tune broke inference at later checkpoints due to quantization drift.
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