update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9017094017094017
+      value: 0.9252136752136753
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the catbreed dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1330
-- Accuracy: 0.9017
+- Loss: 0.7210
+- Accuracy: 0.9252
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0781        | 0.99  | 29   | 1.7031          | 0.8761   |
-| 1.4042        | 1.98  | 58   | 1.2486          | 0.8932   |
-| 1.1117        | 2.97  | 87   | 1.1330          | 0.9017   |
+| 2.1329        | 0.99  | 29   | 1.7492          | 0.8376   |
+| 1.3437        | 1.98  | 58   | 1.1638          | 0.9038   |
+| 0.9266        | 2.97  | 87   | 0.9013          | 0.8974   |
+| 0.7274        | 4.0   | 117  | 0.7345          | 0.9338   |
+| 0.6652        | 4.96  | 145  | 0.7210          | 0.9252   |
 
 
 ### Framework versions