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---
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language:
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- it
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license: apache-2.0
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tags:
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- audio
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- automatic-speech-recognition
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- hf-asr-leaderboard
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- it
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- mozilla-foundation/common_voice_6_0
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- speech
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- xlsr-fine-tuning-week
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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: XLS-R Wav2Vec2 Italian by radiogroup crits
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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: it
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metrics:
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- name: Test WER
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type: wer
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value: 9.04
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- name: Test CER
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type: cer
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value: 2.2
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- name: Test WER (+LM)
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type: wer
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value: 6.24
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- name: Test CER (+LM)
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type: cer
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value: 1.67
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---
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# XLS-R-1B-ITALIAN-DOC4LM-5GRAM
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## Language model information
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Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions about gr and television programs.
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## Download CommonVoice8.0 dataset for italian language
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```python
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from datasets import load_dataset
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dataset = load_dataset("mozilla-foundation/common_voice_8_0", "it", use_auth_token=True)
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```
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## Evaluation Commands
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To evaluate on `mozilla-foundation/common_voice_8_0` with split `test`:
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```bash
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python eval.py --model_id radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram --dataset mozilla-foundation/common_voice_8_0 --config it --split test --log_outputs --greedy
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mv log_mozilla-foundation_common_voice_8_0_it_test_predictions.txt log_mozilla-foundation_common_voice_8_0_it_test_predictions_greedy.txt
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mv mozilla-foundation_common_voice_8_0_it_test_eval_results.txt mozilla-foundation_common_voice_8_0_it_test_eval_results_greedy.txt
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```
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## Citation
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If you want to cite this model you can use this:
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```bibtex
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@misc{radiogroup-crits2022wav2vec2-xls-r-1b-italian-doc4lm-5gram,
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title={XLS-R Wav2Vec2 Italian by radiogroup-crits},
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author={Raffaele Teraoni Prioletti and Paolo Casagranda and Francesco Russo},
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publisher={Hugging Face},
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journal={Hugging Face Hub},
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howpublished={\url{https://huggingface.co/radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram}},
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year={2022}
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}
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``` |
