Update README.md

README.md

@@ -1,3 +1,64 @@
 ---
+language: ru
+datasets:
+- SberDevices/Golos
+metrics:
+- wer
+- cer
+tags:
+- audio
+- automatic-speech-recognition
+- speech
+- xlsr-fine-tuning-week
 license: apache-2.0
+model-index:
+- name: XLSR Wav2Vec2 Russian by Ivan Bondarenko
+  results:
+  - task:
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Sberdevices Golos (crowd)
+      type: SberDevices/Golos
+      args: ru
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 9.85
+       - name: Test CER
+         type: cer
+         value: 2.36
+  - task:
+      name: Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Sberdevices Golos (farfield)
+      type: SberDevices/Golos
+      args: ru
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 20.64
+       - name: Test CER
+         type: cer
+         value: 5.55
 ---
+
+# Wav2Vec2-Large-Ru-Golos
+
+Fine-tuned [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on Russian using the [Sberdevices Golos](https://huggingface.co/datasets/SberDevices/Golos).
+When using this model, make sure that your speech input is sampled at 16kHz.
+
+## Citation
+If you want to cite this model you can use this:
+
+```bibtex
+@misc{bondarenko2022wav2vec2-large-ru-golos,
+  title={XLSR Wav2Vec2 Russian by Ivan Bondarenko},
+  author={Bondarenko, Ivan},
+  publisher={Hugging Face},
+  journal={Hugging Face Hub},
+  howpublished={\url{https://huggingface.co/bond005/wav2vec2-large-ru-golos}},
+  year={2022}
+}
+```