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NbAiLab/vibevoice-asr-north-saami-v5

sourceHugging Faceupdated 5mo agoView on Hugging Face

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North Saami ASR model obtained by fine-tuning VibeVoice ASR on nb-asr-parakeet v5 audio/text pairs.

—Run name: olivia_vibevoice_asr_v5_full_lr4e-6_e100_h200x4-full-evalstart-wu1000-eval256-flash-attention-3-ds_zero3_bf16_550392
—Base model: microsoft/VibeVoice-ASR
—Dataset: nb-asr-parakeet data_v5
—Local artifact: /cluster/work/projects/nn30001k/versae/nb-vibevoice/outputs/olivia_vibevoice_asr_v5_full_lr4e-6_e100_h200x4-full-evalstart-wu1000-eval256-flash-attention-3-ds_zero3_bf16_550392
—Weights & Biases: https://wandb.ai/nbailab/nb-sami-asr-north-vibevoice/runs/w550392
—Attention backend: flash_attention_3
—Fine-tune mode: full
—Freeze speech tokenizers: True
—Num epochs: 100.0
—Per-device train batch size: 1
—Gradient accumulation steps: 4
—Learning rate: 4e-06
—DeepSpeed config: /cluster/projects/nn30001k/versae/VibeVoice/finetuning-asr/ds_zero3_bf16.json

—The uploaded folder contains the final saved model and processor artifacts.
—Intermediate checkpoint-* folders are intentionally omitted from the model repo upload.
—Tokenizer audit output is included when available.