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This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Source du modèle
Description de la source
This model was created from the Mozilla.ai Blueprint: speech-to-text-finetune.
Sources
1 sourceVérifié 22 sept.
Artefacts du modèle
1 artefactExtraits de sources
2 extraits--- base_model: openai/whisper-small datasets: - dataset 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: 122.977 --- # Finetuned openai/whisper-small on 812 Telugu training audio samples from /content/dataset. 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 203 audio samples of Telugu: ### Baseline model (before finetuning) on Telugu - Word Error Rate (Normalized): 173.255 - Word Error Rate (Orthographic): 139.928 - Character Error Rate (Normalized): 142.764 - Character Error Rate (Orthographic): 161.132 - Loss: 2.305 ### Finetuned model (after finetuning) on Telugu - Word Error Rate (Normalized): 122.977 - Word Error Rate (Orthographic): 134.42 - Character Error Rate (Normalized): 83.015 - Character Error Rate (Orthographic): 104.111 - Loss: 1.345
Source context: 11 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo Rahul3215/whisper-small-telugu
