update license

README.md

@@ -1,32 +1,32 @@
 ---
-license: cc-by-4.0
+license: cc-by-nc-sa-4.0
 metrics:
-  - accuracy
-  - f1
-  - uar
+- accuracy
+- f1
+- uar
 pipeline_tag: audio-classification
 tags:
-  - audio
-  - audio-classification
-  - speech-emotion-recognition
-  - autrainer
+- audio
+- audio-classification
+- speech-emotion-recognition
+- autrainer
 library_name: autrainer
 model-index:
-  - name: msp-podcast-emo-class-big4-w2v2-l-emo
-    results:
-      - task:
-          type: audio-classification
-          name: Speech Emotion Recognition
-        metrics:
-          - type: accuracy
-            name: Accuracy
-            value: 0.6166793457588436
-          - type: f1
-            name: F1
-            value: 0.5716599171523286
-          - type: uar
-            name: Unweighted Average Recall
-            value: 0.6499883154795764
+- name: msp-podcast-emo-class-big4-w2v2-l-emo
+  results:
+  - task:
+      type: audio-classification
+      name: Speech Emotion Recognition
+    metrics:
+    - type: accuracy
+      name: Accuracy
+      value: 0.6166793457588436
+    - type: f1
+      name: F1
+      value: 0.5716599171523286
+    - type: uar
+      name: Unweighted Average Recall
+      value: 0.6499883154795764
 ---
 
 # Speech Emotion Recognition Model
@@ -78,4 +78,4 @@ The model achieves a classification accuracy of 0.617 on the test set.
 ## Acknowledgements
 
 Please acknowledge the work which produced the original model and the MSP-Podcast dataset.
-We would also appreciate an acknowledgment to autrainer.
+We would also appreciate an acknowledgment to autrainer.