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---
language:
- it
license: apache-2.0
datasets:
- mozilla-foundation/common_voice_8_0
metrics:
- wer
- cer
tags:
- audio
- automatic-speech-recognition
- hf-asr-leaderboard
- it
- mozilla-foundation/common_voice_8_0
- speech
- wav2vec2
model-index:
- name: XLS-R Wav2Vec2 CV8ita by radiogroup crits
results:
- task:
name: Speech Recognition
type: automatic-speech-recognition
dataset:
name: Common Voice 8.0 italian
type: mozilla-foundation/common_voice_8_0
args: it
metrics:
- name: Test WER
type: wer
value: 7.27
- name: Test CER
type: cer
value: 1.79
- name: Test WER (+LM)
type: wer
value: 5.82
- name: Test CER (+LM)
type: cer
value: 1.54
---
# XLS-R-1B-CV8ITA-LMWIKI500
## Fine-tuned XLS-R 1B model for speech recognition in Italian
Fine-tuned [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on Italian using the train and validation splits of [Common Voice 8.0](https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0).
When using this model, make sure that your speech input is sampled at 16kHz.
## Language model information
Our language model was generated using a 500-characters data set for each Italian Wikipedia article.
## Download CommonVoice8.0 dataset for italian language
```python
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`:
```bash
python eval.py --model_id radiogroup-crits/wav2vec2-xls-r-1b-cv8ita-new-lmwiki500 --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 log_mozilla-foundation_common_voice_8_0_it_test_targets.txt log_mozilla-foundation_common_voice_8_0_it_test_targets_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
python eval.py --model_id radiogroup-crits/wav2vec2-xls-r-1b-cv8ita-new-lmwiki500 --dataset mozilla-foundation/common_voice_8_0 --config it --split test --log_outputs
mv log_mozilla-foundation_common_voice_8_0_it_test_predictions.txt log_mozilla-foundation_common_voice_8_0_it_test_predictions_lm.txt
mv log_mozilla-foundation_common_voice_8_0_it_test_targets.txt log_mozilla-foundation_common_voice_8_0_it_test_targets_lm.txt
mv mozilla-foundation_common_voice_8_0_it_test_eval_results.txt mozilla-foundation_common_voice_8_0_it_test_eval_results_lm.txt
```
## Citation
If you want to cite this model you can use this:
```bibtex
@misc{crits2023wav2vec2-xls-r-1b-cv8ita-new-lmwiki500,
title={XLS-R Wav2Vec2 CV8Ita 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-cv8ita-new-lmwiki500}},
year={2023}
}
``` |