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@@ -23,10 +23,10 @@ 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: 16.1
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  - name: Test CER
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  type: cer
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- value: 3.8
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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. -->
@@ -34,11 +34,15 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-xls-r-300m-cs-cv8
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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 common_voice 8.0 dataset.
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- It achieves the following results on the evaluation set:
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  - Loss: 0.2327
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  - Wer: 0.1608
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  - Cer: 0.0376
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  ## Model description
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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Czech using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset.
 
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  metrics:
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  - name: Test WER
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  type: wer
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+ value: 15.9
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  - name: Test CER
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  type: cer
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+ value: 3.7
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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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  # wav2vec2-xls-r-300m-cs-cv8
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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 common_voice 8.0 dataset.
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+ It achieves the following results on the evaluation set while training:
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  - Loss: 0.2327
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  - Wer: 0.1608
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  - Cer: 0.0376
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+ The `eval.py` script results are:
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+ WER: 0.1590958616454367
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+ CER: 0.036940922561315544
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+
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  ## Model description
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  Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Czech using the [Common Voice](https://huggingface.co/datasets/common_voice) dataset.