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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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+ 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-1b-nl-lm
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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: 9.73
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+ - name: Test CER
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+ type: cer
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+ value: 2.89
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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: 27.27
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+ - name: Test CER
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+ type: cer
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+ value: 13.23
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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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+
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+ # wav2vec2-large-xls-r-1b-nl-lm
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+
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+ This model is a fine-tuned version of [wav2vec2-large-xls-r-1b-nl-lm](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the common_voice 8 dataset.
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+ It achieves the following results on the test set:
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+ - Loss: 0.1479
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+ - Wer: 0.1156
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+
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+ 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.
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+
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+ ## Model description
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+ Model RuudVelo/wav2vec2-large-xls-r-1b-nl which has been improved with a KenLM 5-gram.
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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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+ Common Voice 8 nl dataset has been used for the model
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+ Parameters can be found in the run.sh file at https://huggingface.co/RuudVelo/wav2vec2-large-xls-r-1b-nl
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+
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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 1.18.3
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+ - Tokenizers 0.11.0