Update README.md

README.md

@@ -24,10 +24,10 @@ model-index:
     metrics:
        - name: Test WER
          type: wer
-         value: []
+         value: 0.4654228855721393
        - name: Test CER
          type: cer
-         value: []
+         value: 0.11351049990708047
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,24 +35,21 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-hsb-v2
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - HSB dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5328
 - Wer: 0.4596
 
-## Model description
+### Evaluation Commands
 
-More information needed
+1. To evaluate on mozilla-foundation/common_voice_8_0 with test split
 
-## Intended uses & limitations
+python eval.py --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-hsb-v2 --dataset mozilla-foundation/common_voice_8_0 --config hsb --split test --log_outputs
 
-More information needed
+2. To evaluate on speech-recognition-community-v2/dev_data
 
-## Training and evaluation data
+Upper Sorbian (hsb) not found in speech-recognition-community-v2/dev_data
 
-More information needed
-
-## Training procedure
 
 ### Training hyperparameters