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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-xls-r-300m-uk |
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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: 0.125600 |
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- Wer: 0.152833 |
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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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