update model card README.md

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- sw
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_13_0
 - generated_from_trainer
 datasets:
 - common_voice_13_0
@@ -13,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_13_0
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - SW
       type: common_voice_13_0
       config: sw
       split: test
-      args: sw
+      args: 'Config: sw, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 0.19625147083543454
+      value: 0.196261976802824
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice_sw_output
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice_13_0 dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_13_0 - SW dataset.
 It achieves the following results on the evaluation set:
 - Loss: inf
 - Wer: 0.1963