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tauri19
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Model Details
Model Provider
tauri19
Model Tree
openai/whisper-tiny
Input Modalities
Output Modalities
Supported Functionality
The dataset is PolyAI/minds14, configuration en-US, original train order. The first 450 examples were used for training and the remaining 113 were held out for evaluation. Preprocessing used num_proc=1; audio was resampled to 16 kHz. No evaluation examples were used for gradient updates.
WER values in the model-index are fractions, as required by the assignment. Text normalization uses Whisper's BasicTextNormalizer; WER is computed with JIWER. The required normalized WER threshold is below 0.37.
Educational speech recognition practice on banking queries. This small dataset evaluation does not demonstrate general-purpose, production, or multilingual performance. The artifact has been evaluated locally; the course provider has not yet assessed the uploaded model.
The following hyperparameters were used during training: