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--- |
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language: |
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- ar |
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tags: |
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- whisper-event |
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- generated_from_trainer |
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datasets: |
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- mozilla-foundation/common_voice_11_0 |
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metrics: |
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- wer |
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model-index: |
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- name: "Whisper Medium AR - gerryc" |
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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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dataset: |
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name: FLEURS |
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type: google/fleurs |
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config: ar_eg |
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split: test |
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args: ar |
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metrics: |
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- name: Wer |
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type: wer |
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value: 52.8 |
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--- |
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# Whisper Medium Ar - gerryc |
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Model was trained on CommonVoice Train. Tensorboard eval is on 256 samples of CommonVoice Dev. |
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Not normalized or lowercased. Evaluated and saved every 2500 steps. |
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This model was overtrained and is overfitted. About 2000 to 4000 steps is around the best spot to stop training. |
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