Update README.md

README.md

@@ -8,22 +8,22 @@ Returns facial emotion based on facial human image.
 
 See https://www.kaggle.com/code/dima806/facial-emotions-image-detection-vit for more details.
 
-![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/LptXA-4SRuOqWf2-ZAcm-.png)
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/6449300e3adf50d864095b90/dr6xp-8bjXk0TqXfJaBDn.png)
 
 ```
 Classification report:
 
               precision    recall  f1-score   support
 
-         sad     0.8406    0.8699    0.8550      3596
-     disgust     0.9895    1.0000    0.9947      3596
-       angry     0.9120    0.8996    0.9058      3596
-     neutral     0.8736    0.8709    0.8723      3595
-        fear     0.8851    0.8531    0.8688      3595
-    surprise     0.9419    0.9516    0.9467      3596
-       happy     0.9347    0.9321    0.9334      3596
+         sad     0.8394    0.8632    0.8511      3596
+     disgust     0.9909    1.0000    0.9954      3596
+       angry     0.9022    0.9035    0.9028      3595
+     neutral     0.8752    0.8626    0.8689      3595
+        fear     0.8788    0.8532    0.8658      3596
+    surprise     0.9476    0.9449    0.9463      3596
+       happy     0.9302    0.9372    0.9336      3596
 
-    accuracy                         0.9110     25170
-   macro avg     0.9111    0.9110    0.9110     25170
-weighted avg     0.9111    0.9110    0.9110     25170
+    accuracy                         0.9092     25170
+   macro avg     0.9092    0.9092    0.9091     25170
+weighted avg     0.9092    0.9092    0.9091     25170
 ```