Update README.md

README.md

@@ -1,78 +1,78 @@
----
-language:
-- it
-license: apache-2.0
-datasets:
-- common_voice
-- 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
-model-index:
-- name: XLS-R Wav2Vec2 Italian by radiogroup crits
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 8
-      type: mozilla-foundation/common_voice_8_0
-      args: it
-    metrics:
-    - name: Test WER
-      type: wer
-      value: 9.04
-    - name: Test CER
-      type: cer
-      value: 2.2
-    - name: Test WER (+LM)
-      type: wer
-      value: 6.24
-    - name: Test CER (+LM)
-      type: cer
-      value: 1.67
----
-# XLS-R-1B-ITALIAN-DOC4LM-5GRAM
-
-## Language model information
-
-Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions about gr and television programs. 
-
-
-## 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-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:
-
-```bibtex
-@misc{radiogroup-crits2022wav2vec2-xls-r-1b-italian-doc4lm-5gram,
-  title={XLS-R Wav2Vec2 Italian by radiogroup-crits},
-  author={Raffaele Teraoni Prioletti and Paolo Casagranda and Francesco Russo},
-  publisher={Hugging Face},
-  journal={Hugging Face Hub},
-  howpublished={\url{https://huggingface.co/radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram}},
-  year={2022}
-}
+---
+language:
+- it
+license: apache-2.0
+datasets:
+- common_voice
+- 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
+model-index:
+- name: XLS-R Wav2Vec2 Italian by radiogroup crits
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: it
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 9.04
+    - name: Test CER
+      type: cer
+      value: 2.2
+    - name: Test WER (+LM)
+      type: wer
+      value: 6.24
+    - name: Test CER (+LM)
+      type: cer
+      value: 1.67
+---
+# XLS-R-1B-ITALIAN-DOC4LM-5GRAM
+
+## Language model information
+
+Our language model was generated using a dataset of Italian wikipedia articles and manual transcriptions about gr and television programs. 
+
+
+## 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-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:
+
+```bibtex
+@misc{radiogroup-crits2022wav2vec2-xls-r-1b-italian-doc4lm-5gram,
+  title={XLS-R Wav2Vec2 Italian by radiogroup-crits},
+  author={Raffaele Teraoni Prioletti, Paolo Casagranda and Francesco Russo},
+  publisher={Hugging Face},
+  journal={Hugging Face Hub},
+  howpublished={\url{https://huggingface.co/radiogroup-crits/wav2vec2-xls-r-1b-italian-doc4lm-5gram}},
+  year={2022}
+}
 ```