Update README.md

README.md

@@ -28,6 +28,20 @@ model-index:
        - name: Test CER
          type: cer
          value: 0.10630270750110964
+  - task: 
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: ab
+    metrics:
+       - name: Test WER
+         type: wer
+         value: NA
+       - name: Test CER
+         type: cer
+         value: NA
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,19 +54,17 @@ It achieves the following results on the evaluation set:
 - Loss: 0.5620
 - Wer: 0.5651
 
-## 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-ab-CV7 --dataset mozilla-foundation/common_voice_7_0 --config ab --split test --log_outputs
 
-More information needed
+2. To evaluate on speech-recognition-community-v2/dev_data
 
-## Training and evaluation data
+NA
 
-More information needed
 
-## Training procedure
 
 ### Training hyperparameters
 
@@ -88,11 +100,3 @@ The following hyperparameters were used during training:
 - Pytorch 1.10.1+cu102
 - Datasets 1.17.1.dev0
 - Tokenizers 0.11.0
-
-### Evaluation Script
-
-Evaluation script for evaluating the performance of the fine-tuned model on Mozilla-foundation/common_voice_7_0 with split test
-
-!python eval.py \
-    --model_id DrishtiSharma/wav2vec2-large-xls-r-300m-ab-v16 \
-    --dataset mozilla-foundation/common_voice_7_0 --config ab --split test --log_outputs