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README.md
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- name: Wer
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type: wer
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value: 0.23732323953720896
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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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@@ -34,6 +47,9 @@ It achieves the following results on the evaluation set:
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- Loss: 0.4120
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- Wer: 0.2373
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## Model description
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More information needed
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- name: Wer
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type: wer
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value: 0.23732323953720896
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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: common_voice_8_0
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type: common_voice_8_0
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config: fy-NL
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split: validation
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args: fy-NL
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metrics:
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- name: Wer
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type: wer
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value: 0.25404682757623936
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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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- Loss: 0.4120
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- Wer: 0.2373
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And on the test set:
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- Wer: 0.2540
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## Model description
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More information needed
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