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--- |
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language: |
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- nl |
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license: apache-2.0 |
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tags: |
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- automatic-speech-recognition |
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- mozilla-foundation/common_voice_8_0 |
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- generated_from_trainer |
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- nl |
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- robust-speech-event |
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- model_for_talk |
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- hf-asr-leaderboard |
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datasets: |
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- mozilla-foundation/common_voice_8_0 |
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model-index: |
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- name: wav2vec2-large-xls-r-300m-cv8-nl |
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results: |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Common Voice 8 |
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type: mozilla-foundation/common_voice_8_0 |
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args: nl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 14.53 |
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- name: Test CER |
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type: cer |
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value: 4.7 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Dev Data |
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type: speech-recognition-community-v2/dev_data |
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args: nl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 33.7 |
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- name: Test CER |
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type: cer |
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value: 15.64 |
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- task: |
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name: Automatic Speech Recognition |
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type: automatic-speech-recognition |
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dataset: |
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name: Robust Speech Event - Test Data |
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type: speech-recognition-community-v2/eval_data |
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args: nl |
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metrics: |
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- name: Test WER |
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type: wer |
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value: 35.19 |
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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-large-xls-r-300m-cv8-nl |
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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 dataset. In addition a 6gram KenLM model was trained and used. The KenLM model was based on train+validation Common Voice 8 |
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It achieves results depicted on the rigth side on the model card (testset CV8) |
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## Model description |
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Dutch wav2vec2-xls-r-300m model using Common Voice 8 dataset |
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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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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) |
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## Training procedure |
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### Training hyperparameters |
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### Framework versions |
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- Transformers 4.16.0.dev0 |
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- Pytorch 1.10.1+cu102 |
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- Datasets 1.18.1 |
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- Tokenizers 0.11.0 |
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