stdbug
/

whisper-tiny-ba

Automatic Speech Recognition

Eval Results (legacy)

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Finetuned openai/whisper-tiny on 133675 Bashkir training audio samples from mozilla-foundation/common_voice_17_0.

This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.

Evaluation results on 14513 audio samples of Bashkir:

Baseline model (before finetuning) on Bashkir

Word Error Rate (Normalized): 150.765
Word Error Rate (Orthographic): 127.801
Character Error Rate (Normalized): 116.224
Character Error Rate (Orthographic): 115.431
Loss: 5.831

Finetuned model (after finetuning) on Bashkir

Word Error Rate (Normalized): 102.544
Word Error Rate (Orthographic): 103.049
Character Error Rate (Normalized): 89.277
Character Error Rate (Orthographic): 89.293
Loss: 1.441

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Safetensors

Model size

37.8M params

Tensor type

F32

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openai/whisper-tiny

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Evaluation results

wer on Common Voice (Bashkir)
self-reported

102.544