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README.md
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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.
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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.
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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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@@ -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.
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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.
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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 |
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