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ASR-Swahili-Small
Mollel/ASR-Swahili-Small
ASR-Swahili-Small is a automatic speech recognition model from Mollel. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
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.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Feb 27, 2025
- SHA
- b2bab6c1
Base models
Model card
From the Hugging Face model README
Finetuned openai/whisper-small on 58000 Swahili 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 12253 audio samples of Swahili:
Baseline model (before finetuning) on Swahili
- Word Error Rate: 133.795
- Loss: 2.459
Finetuned model (after finetuning) on Swahili
- Word Error Rate: 43.876
- Loss: 0.653
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- sw
- Created
- Feb 26, 2025
- Updated
- Feb 27, 2025