update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.5995732574679943
+      value: 0.6216216216216216
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # fl_image_category
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the fl_image_category_ds dataset.
+This model is a fine-tuned version of [microsoft/resnet-18](https://huggingface.co/microsoft/resnet-18) on the fl_image_category_ds dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0728
-- Accuracy: 0.5996
+- Loss: 0.9667
+- Accuracy: 0.6216
 
 ## Model description
 
@@ -60,15 +60,17 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.3061        | 1.0   | 88   | 1.2575          | 0.5349   |
-| 1.1435        | 2.0   | 176  | 1.1084          | 0.5946   |
-| 1.079         | 3.0   | 264  | 1.0728          | 0.5996   |
+| 1.274         | 1.0   | 88   | 1.2030          | 0.4986   |
+| 1.069         | 2.0   | 176  | 1.0716          | 0.5605   |
+| 1.0592        | 3.0   | 264  | 1.0385          | 0.5676   |
+| 0.9571        | 4.0   | 352  | 0.9746          | 0.6131   |
+| 0.8975        | 5.0   | 440  | 0.9667          | 0.6216   |
 
 
 ### Framework versions