update model card README.md

README.md

@@ -1,8 +1,6 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
-- vision
 - generated_from_trainer
 datasets:
 - imagefolder
@@ -23,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8
+      value: 0.6
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +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: 0.6859
-- Accuracy: 0.8
+- Loss: 0.6853
+- Accuracy: 0.6
 
 ## Model description
 
@@ -65,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.7142        | 1.0   | 23   | 0.6892          | 0.4      |
-| 0.6938        | 2.0   | 46   | 0.7027          | 0.4      |
-| 0.6823        | 3.0   | 69   | 0.6859          | 0.8      |
+| 0.6918        | 1.0   | 23   | 0.6895          | 0.8      |
+| 0.7019        | 2.0   | 46   | 0.6859          | 0.6      |
+| 0.69          | 3.0   | 69   | 0.6853          | 0.6      |
 
 
 ### Framework versions