Whisper Small Te
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 922 MB
- Modelo base
- openai/whisper-small
- Versión
- vmodel
- Actualizado
- 22 sept 2026
- Descargas
- 5
- Fuente
- Hugging Face
Descripción de la fuente
Finetuned openai/whisper-small on 123 telugu training audio samples from AkCodes23/sarvam-tts-in-te-en.
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Evaluation results on 8 audio samples of telugu:
Baseline model (before finetuning) on telugu
- Word Error Rate (Normalized): 109.73
- Word Error Rate (Orthographic): 124.413
- Character Error Rate (Normalized): 72.428
- Character Error Rate (Orthographic): 98.127
- Loss: 1.815
Finetuned model (after finetuning) on telugu
- Word Error Rate (Normalized): 66.126
- Word Error Rate (Orthographic): 90.141
- Character Error Rate (Normalized): 51.045
- Character Error Rate (Orthographic): 59.465
- Loss: 0.597
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 22 sept
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- base_model: openai/whisper-small datasets: - sarvam-tts-in-te-en language: te library_name: transformers license: apache-2.0 model-index: - name: Finetuned openai/whisper-small on telugu results: - task: type: automatic-speech-recognition name: Speech-to-Text dataset: name: Common Voice (telugu) type: common_voice metrics: - type: wer value: 66.126 --- # Finetuned openai/whisper-small on 123 telugu training audio samples from AkCodes23/sarvam-tts-in-te-en. This model was created from the Mozilla.ai Blueprint: [speech-to-text-finetune](https://github.com/mozilla-ai/speech-to-text-finetune). ## Evaluation results on 8 audio samples of telugu: ### Baseline model (before finetuning) on telugu - Word Error Rate (Normalized): 109.73 - Word Error Rate (Orthographic): 124.413 - Character Error Rate (Normalized): 72.428 - Character Error Rate (Orthographic): 98.127 - Loss: 1.815 ### Finetuned model (after finetuning) on telugu - Word Error Rate (Normalized): 66.126 - Word Error Rate (Orthographic): 90.141 - Character Error Rate (Normalized): 51.045 - Character Error Rate (Orthographic): 59.465 - Loss: 0.597
Source context: 5 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo yeshu-09/whisper-small-te
