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Updated README with WER

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  1. README.md +6 -6
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@@ -26,13 +26,13 @@ model-index:
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  metrics:
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  - name: Test WER
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  type: wer
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- value: TBD
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  - name: Google Crowsourced Corpus WER
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  type: wer
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- value: TBD
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  - name: Audiobook “La llegenda de Sant Jordi” WER
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  type: wer
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- value: TBD
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  ---
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  # Wav2Vec2-Large-100k-VoxPopuli-Català
@@ -52,9 +52,9 @@ Word error rate was evaluated on the following datasets unseen by the model:
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  | Dataset | WER |
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  | ------- | --- |
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- | [Test split CV+ParlamentParla]((https://github.com/ccoreilly/wav2vec2-catala/blob/master/test.csv)) | TBD |
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- | [Google Crowsourced Corpus](https://www.openslr.org/69/) | TBD |
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- | Audiobook “La llegenda de Sant Jordi” | TBD |
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  ## Usage
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 5.98
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  - name: Google Crowsourced Corpus WER
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  type: wer
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+ value: 12.14
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  - name: Audiobook “La llegenda de Sant Jordi” WER
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  type: wer
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+ value: 12.02
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  ---
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  # Wav2Vec2-Large-100k-VoxPopuli-Català
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  | Dataset | WER |
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  | ------- | --- |
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+ | [Test split CV+ParlamentParla]((https://github.com/ccoreilly/wav2vec2-catala/blob/master/test-filtered.csv)) | 5.98% |
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+ | [Google Crowsourced Corpus](https://www.openslr.org/69/) | 12.14% |
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+ | Audiobook “La llegenda de Sant Jordi” | 12.02% |
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  ## Usage