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README.md
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---
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license: mit
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tags:
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- automatic-speech-recognition
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- common_voice
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datasets:
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- common_voice
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model-index:
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- name: wav2vec2-xls-r-300m-uk
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results: []
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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-xlsr-53-300m-mls-german-ft
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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 7.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2219
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- Wer: 0.1288
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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More information needed
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### Training results
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| Step | Training Loss | Validation Loss | Wer |
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|:-------:|:-------------:|:---------------:|:------:|
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| 4000 | 0.363600 | 0.211314 | 0.305 |
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| 10000 | 0.250800 | 0.178876 | 0.223011 |
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| 18000 | 0.187000 |0.163607 | 0.194422 |
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| 27200 | 0.155100 | 0.153098 | 0.168595 |
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| 39600 | 0.125600 | 0.141007 | 0.152833 |
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### Framework versions
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- Transformers 4.11
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- Pytorch 1.10.0
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- Datasets 1.13
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