--- license: mit tags: - automatic-speech-recognition - asr - pytorch - wav2vec2 - wolof - wo --- # wav2vec2-xls-r-300m-wolof Wolof is a language spoken in Senegal and neighbouring countries, this language is not too well represented, there are few resources in the field of Text en speech In this sense we aim to bring our contribution to this, it is in this sense that enters this repo. This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) , that is trained with the largest available speech dataset of the [ALLFA project](https://github.com/besacier/ALFFA_PUBLIC/tree/master/ASR/WOLOF) It achieves the following results on the evaluation set: - Loss: 0.367826 - Wer: 0.212565 ## 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 | |:-------:|:-------------:|:---------------:|:------:| | 1500 | 2.854200 |0.642243 |0.543964 | | 3000 | 0.599200 | 0.468138 | 0.429549| | 4500 | 0.468300 | 0.433436 | 0.405644| | 6000 | 0.427000 | 0.384873 | 0.344150| | 7500 | 0.377000 | 0.374003 | 0.323892| | 9000 | 0.337000 | 0.363674 | 0.306189| | 10500 | 0.302400 | 0.349884 |0 .283908 | | 12000 | 0.264100 | 0.344104 |0.277120| | 13500 |0 .254000 |0.341820 |0.271316| | 15000 | 0.208400| 0.326502 | 0.260695| | 16500 | 0.203500| 0.326209 | 0.250313| | 18000 |0.159800 |0.323539 | 0.239851| | 19500 | 0.158200 | 0.310694 | 0.230028| | 21000 | 0.132800 | 0.338318 | 0.229283| | 22500 | 0.112800 | 0.336765 | 0.224145| | 24000 | 0.103600 | 0.350208 | 0.227073 | | 25500 | 0.091400 | 0.353609 | 0.221589 | | 27000 | 0.084400 | 0.367826 | 0.212565 | ### Framework versions - Transformers 4.11 - Pytorch 1.10.0 - Datasets 1.13