Polish Whisper

Polish Whisper

At bards.ai, we fine-tuned OpenAI’s Whisper model specifically for the Polish language as part of Hugging Face’s global Whisper Fine-Tuning Sprint. Our model took first place in the Polish category, standing out for its exceptional transcription accuracy and robustness across diverse Polish audio sources.

We focused on minimizing word error rate while preserving the natural flow of spoken Polish, ensuring the model performs well across interviews, podcasts, casual speech, and formal recordings. The result is a state-of-the-art Polish ASR model ready for real-world use in transcription, accessibility, and voice-driven applications.

Large: https://huggingface.co/bardsai/whisper-large-v2-pl-v2
Medium: https://huggingface.co/bardsai/whisper-medium-pl-v2

Performance

Metric

Value

Loss

0.3684

WER

7.2802%

Training Params

Parameter

Value

Learning rate

1e-05

Train batch size

8

Eval batch size

4

Seed

42

Gradient accumulation steps

8

Total train batch size

64

Optimizer

Adam (betas=(0.9, 0.999), epsilon=1e-08)

LR scheduler type

linear

LR scheduler warmup steps

500

Training steps

2100

Mixed precision training

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