Edit model card

wav2vec2-large-xls-r-300m-cv8-nl

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice dataset. In addition a 6gram KenLM model was trained and used. The KenLM model was based on train+validation Common Voice 8 It achieves results depicted on the rigth side on the model card (testset CV8)

Model description

Dutch wav2vec2-xls-r-300m model using Common Voice 8 dataset

Intended uses & limitations

More information needed

Training and evaluation data

The model was trained on Dutch common voice 8 with 75 epochs. The train set consisted of the common voice 8 train set and evaluation set was the common voice 8 validation set. The WER reported is on the common voice 8 test set which was not part of training nor validation (eval)

Training procedure

Training hyperparameters

Framework versions

  • Transformers 4.16.0.dev0
  • Pytorch 1.10.1+cu102
  • Datasets 1.18.1
  • Tokenizers 0.11.0
Downloads last month
28
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Dataset used to train RuudVelo/wav2vec2-large-xls-r-300m-cv8-nl

Evaluation results