update model card README.md

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.0
+      value: 0.2
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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: 0.7808
-- Accuracy: 0.0
+- Loss: 1.5776
+- Accuracy: 0.2
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7808          | 0.0      |
-| No log        | 2.0   | 2    | 0.7705          | 0.0      |
-| No log        | 3.0   | 3    | 0.7629          | 0.0      |
+| No log        | 1.0   | 1    | 1.5807          | 0.2      |
+| No log        | 2.0   | 2    | 1.5789          | 0.2      |
+| No log        | 3.0   | 3    | 1.5776          | 0.2      |
 
 
 ### Framework versions