Update README.md

README.md

@@ -8,11 +8,14 @@ tags:
 metrics:
 - wer
 - cer
+pipeline_tag: automatic-speech-recognition
 ---
 
 # Amharic ASR using fine-tuned Wav2vec2 XLSR-53
 This is a finetuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) trained on the [Amharic Speech Corpus](http://www.openslr.org/25/). This corpus was produced by [Abate et al. (2005)](https://www.isca-speech.org/archive/interspeech_2005/abate05_interspeech.html) (10.21437/Interspeech.2005-467).
 
+The model achieves a WER of 26% and a CER of 7% on the validation set of the Amharic Readspeech data.
+
 ## Usage
 The model can be used as follows:
 ```python
@@ -39,4 +42,4 @@ print(texts[0])
 ```
 
 ## Training
-The code to train this model is available at https://github.com/agkphysics/amharic-asr.
+The code to train this model is available at https://github.com/agkphysics/amharic-asr.