Update README.md

README.md

@@ -12,9 +12,11 @@ tags:
 - generated_from_trainer
 - audio
 - master-thesis
+- pytorch
+- transformers
 datasets:
 - facebook/voxpopuli
-base_model: 
+base_model:
 - facebook/wav2vec2-base-en-voxpopuli-v2
 - facebook/bart-base
 model-index:
@@ -31,7 +33,7 @@ model-index:
     metrics:
     - name: WER
       type: wer
-      value: 0.08848048503220916 # 8.85%
+      value: 8.848048503220916
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
@@ -43,9 +45,11 @@ model-index:
     metrics:
     - name: WER
       type: wer
-      value: 0.08554638942253362 # 8.55%
+      value: 8.554638942253362
 pipeline_tag: automatic-speech-recognition
 library_name: transformers
+metrics:
+- wer
 ---
 
 # Wav2Vec2-BART (Base) for English ASR on VoxPopuli - Best WER from Master's Thesis
@@ -291,6 +295,4 @@ If you use this model or findings from the thesis, please cite:
 For questions, feedback, or collaboration opportunities related to this thesis or any other stuff, feel free to reach out:
 
 - **Email:** [email protected] / [email protected]
-- **GitHub:** [hornikmatej](https://github.com/hornikmatej)
-
-
+- **GitHub:** [hornikmatej](https://github.com/hornikmatej)