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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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- asr
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- pytorch
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- wav2vec2
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- wolof
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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-wolof
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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:0.367826
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- Wer: 0.212565
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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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| 1500 | 2.854200 |0.642243 |0.543964 |
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| 3000 | 0.599200 | 0.468138 | 0.429549|
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| 4500 | 0.468300 | 0.433436 | 0.405644|
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| 6000 | 0.427000 | 0.384873 | 0.344150|
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| 7500 | 0.377000 | 0.374003 | 0.323892|
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| 9000 | 0.337000 | 0.363674 | 0.306189|
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| 10500 | 0.302400 | 0.349884 |0 .283908 |
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| 12000 | 0.264100 | 0.344104 |0.277120|
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| 13500 |0 .254000 |0.341820 |0.271316|
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| 15000 | 0.208400| 0.326502 | 0.260695|
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| 16500 | 0.203500| 0.326209 | 0.250313|
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| 18000 |0.159800 |0.323539 | 0.239851|
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| 19500 | 0.158200 | 0.310694 | 0.230028|
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| 21000 | 0.132800 | 0.338318 | 0.229283|
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| 22500 | 0.112800 | 0.336765 | 0.224145|
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| 24000 | 0.103600 | 0.350208 | 0.227073 |
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| 25500 | 0.091400 | 0.353609 | 0.221589 |
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| 27000 | 0.084400 | 0.367826 | 0.212565 |
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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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