wav2vec2-large-xls-r-1b-nl-lm
This model is a fine-tuned version of wav2vec2-large-xls-r-1b-nl-lm on the common_voice 8 dataset. It achieves the following results on the test set:
- Loss: 0.1479
- Wer: 0.1156
Note that the above test results come from the original model without LM (language model) which can be found at https://huggingface.co/RuudVelo/wav2vec2-large-xls-r-1b-nl. The results with the LM model can be found on the right side of this model card.
Model description
Model RuudVelo/wav2vec2-large-xls-r-1b-nl which has been improved with a KenLM 5-gram.
Intended uses & limitations
More information needed
Training and evaluation data
Common Voice 8 nl dataset has been used for the model
Training procedure
Training hyperparameters
Parameters can be found in the run.sh file at https://huggingface.co/RuudVelo/wav2vec2-large-xls-r-1b-nl
Framework versions
- Transformers 4.16.0.dev0
- Pytorch 1.10.1+cu102
- Datasets 1.18.3
- Tokenizers 0.11.0
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Dataset used to train RuudVelo/wav2vec2-large-xls-r-1b-nl-lm
Evaluation results
- Test WER on Common Voice 8self-reported9.730
- Test CER on Common Voice 8self-reported2.890
- Test WER on Robust Speech Event - Dev Dataself-reported27.270
- Test CER on Robust Speech Event - Dev Dataself-reported13.230
- Test WER on Robust Speech Event - Test Dataself-reported27.670