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Update README.md

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@@ -21,11 +21,11 @@ model-index:
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  args: mr
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  metrics:
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  - type: wer # Required. Example: wer
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- value: 31.57 # Required. Example: 20.90
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  name: Test WER # Optional. Example: Test WER
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  - name: Test CER
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  type: cer
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- value: 6.93
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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
@@ -36,7 +36,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.494580
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- - Wer: 0.395909
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  ## Model description
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@@ -119,4 +119,4 @@ The following hyperparameters were used during training:
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  | Without LM | With LM |
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  |---|---|
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- | 40.513437625350984 | 31.56839149618933 |
 
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  args: mr
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  metrics:
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  - type: wer # Required. Example: wer
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+ value: 31.05 # Required. Example: 20.90
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  name: Test WER # Optional. Example: Test WER
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  - name: Test CER
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  type: cer
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+ value: 6.82
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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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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MR dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 0.494580
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+ - Wer: 0.401524
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  ## Model description
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  | Without LM | With LM |
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  |---|---|
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+ | 40.513437625350984 | 31.04693140794224 |