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README.md
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metrics:
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- name: Test WER
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type: wer
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value:
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- name: Test CER
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type: cer
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value: 3.
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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:
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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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## 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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