Edit model card

XLS-R-1B-ITALIAN-DOC4LM-5GRAM

Language model information

Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions of radio newspapers and television programs.

Download CommonVoice8.0 dataset for italian language

from datasets import load_dataset

dataset = load_dataset("mozilla-foundation/common_voice_8_0", "it", use_auth_token=True)

Evaluation Commands

To evaluate on mozilla-foundation/common_voice_8_0 with split test:

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

mv log_mozilla-foundation_common_voice_8_0_it_test_predictions.txt log_mozilla-foundation_common_voice_8_0_it_test_predictions_greedy.txt

mv mozilla-foundation_common_voice_8_0_it_test_eval_results.txt mozilla-foundation_common_voice_8_0_it_test_eval_results_greedy.txt

Citation

If you want to cite this model you can use this:

@misc{crits2022wav2vec2-xls-r-1b-italian-doc4lm-5gram,
  title={XLS-R Wav2Vec2 Italian by radiogroup crits},
  author={Teraoni Prioletti Raffaele, Casagranda Paolo and Russo Francesco},
  publisher={Hugging Face},
  journal={Hugging Face Hub},
  howpublished={\url{https://huggingface.co/radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram}},
  year={2022}
}
Downloads last month
394
Hosted inference API
or or
This model can be loaded on the Inference API on-demand.

Dataset used to train radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram

Evaluation results