update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.30788520479242126
+      value: 0.4446921147952076
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model was trained from scratch on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6948
-- Accuracy: 0.3079
+- Loss: 1.4667
+- Accuracy: 0.4447
 
 ## Model description
 
@@ -59,15 +59,17 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.7973        | 1.0   | 252  | 1.7940          | 0.2477   |
-| 1.7299        | 2.0   | 505  | 1.7277          | 0.2803   |
-| 1.7096        | 2.99  | 756  | 1.6948          | 0.3079   |
+| 1.7252        | 1.0   | 252  | 1.7069          | 0.2753   |
+| 1.6386        | 2.0   | 505  | 1.5799          | 0.3912   |
+| 1.617         | 3.0   | 757  | 1.5154          | 0.4274   |
+| 1.5795        | 4.0   | 1010 | 1.4836          | 0.4377   |
+| 1.5645        | 4.99  | 1260 | 1.4667          | 0.4447   |
 
 
 ### Framework versions