update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9624402458456636
+      value: 0.9639198725244708
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +31,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1446
-- Accuracy: 0.9624
+- Loss: 0.1391
+- Accuracy: 0.9639
 
 ## Model description
 
@@ -66,11 +66,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9386        | 1.0   | 549  | 1.5218          | 0.7653   |
-| 0.5662        | 2.0   | 1098 | 0.3325          | 0.9288   |
-| 0.4104        | 3.0   | 1647 | 0.1853          | 0.9561   |
-| 0.3551        | 4.0   | 2197 | 0.1494          | 0.9623   |
-| 0.3174        | 5.0   | 2745 | 0.1446          | 0.9624   |
+| 0.2976        | 1.0   | 549  | 0.1450          | 0.9636   |
+| 0.3388        | 2.0   | 1098 | 0.1382          | 0.9641   |
+| 0.361         | 3.0   | 1647 | 0.1432          | 0.9632   |
+| 0.3163        | 4.0   | 2197 | 0.1412          | 0.9640   |
+| 0.3103        | 5.0   | 2745 | 0.1391          | 0.9639   |
 
 
 ### Framework versions