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---
license: mit
tags:
- automatic-speech-recognition
- common_voice
datasets:
- common_voice
model-index:
- name: wav2vec2-xls-r-300m-uk
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# wav2vec2-xlsr-53-300m-mls-german-ft
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.
It achieves the following results on the evaluation set:
- Loss: 0.2219
- Wer: 0.1288
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
More information needed
### Training results
| Step | Training Loss | Validation Loss | Wer |
|:-------:|:-------------:|:---------------:|:------:|
| 4000 | 0.363600 | 0.211314 | 0.305 |
| 10000 | 0.250800 | 0.178876 | 0.223011 |
| 18000 | 0.187000 |0.163607 | 0.194422 |
| 27200 | 0.155100 | 0.153098 | 0.168595 |
| 39600 | 0.125600 | 0.141007 | 0.152833 |
### Framework versions
- Transformers 4.11
- Pytorch 1.10.0
- Datasets 1.13
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