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--- |
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language: |
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- fr |
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license: apache-2.0 |
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tags: |
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- whisper |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_15_0 |
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- BrunoHays/multilingual-tedx-fr |
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- PolyAI/minds14 |
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- facebook/multilingual_librispeech |
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- facebook/voxpopuli |
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- google/fleurs |
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metrics: |
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- wer |
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model-index: |
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- name: Whisper tiny French |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset1: |
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name: mozilla-foundation/common_voice_15_0 fr |
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type: mozilla-foundation/common_voice_15_0 |
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config: fr |
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split: test |
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args: fr |
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metrics: |
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- name: Wer |
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type: wer |
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value: 40.0 |
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dataset2: |
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name: facebook/multilingual_librispeech fr |
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type: facebook/multilingual_librispeech |
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config: fr |
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split: test |
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args: fr |
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wer : 26.1 |
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dataset3: |
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name: facebook/voxpopuli fr |
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type: facebook/voxpopuli |
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config: fr |
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split: test |
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args: fr |
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wer : 29.4 |
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dataset4: |
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name: google/fleurs fr |
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type: google/fleurs |
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config: fr |
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split: test |
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args: fr |
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wer : 33.7 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# Whisper tiny fr - JaepaX |
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the fr datasets. |
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## WER Result |
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It achieves the following results on the evaluation sets |
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- Mulit-Libri : "26.1", |
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- common : "40.0" |
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- voxpopuli : "29.4" |
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- fleurs : "33.7" |
