Update README.md

README.md

@@ -24,24 +24,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: 0.4393034825870647
+         value: 0.4393
        - name: Test CER
          type: cer
-         value: 0.1036981973610853
-  - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Robust Speech Event - Dev Data
-      type: speech-recognition-community-v2/dev_data
-      args: hsb
-    metrics:
-       - name: Test WER
-         type: wer
-         value: NA
-       - name: Test CER
-         type: cer
-         value: NA
+         value: 0.1036
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -56,15 +42,8 @@ It achieves the following results on the evaluation set:
 
 ### Evaluation Commands
 
-1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
-
-python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v1 --dataset mozilla-foundation/common_voice_8_0 --config hsb --split test --log_outputs
-
-2. To evaluate on speech-recognition-community-v2/dev_data
 
-python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v1 --dataset speech-recognition-community-v2/dev_data --config hsb --split validation --chunk_length_s 10 --stride_length_s 1
 
-Note: Upper Sorbian language isn't available in dataset speech-recognition-community-v2/dev_data
 
 ### Training hyperparameters