update model card README.md

README.md

@@ -20,7 +20,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4446921147952076
+      value: 0.5408191696851491
 ---
 
 <!-- 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: 1.4667
-- Accuracy: 0.4447
+- Loss: 1.1947
+- Accuracy: 0.5408
 
 ## Model description
 
@@ -59,17 +59,22 @@ 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: 5
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 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   |
+| 1.5588        | 1.0   | 252  | 1.4406          | 0.4558   |
+| 1.4831        | 2.0   | 505  | 1.3683          | 0.4790   |
+| 1.4776        | 3.0   | 757  | 1.3199          | 0.4937   |
+| 1.4246        | 4.0   | 1010 | 1.2881          | 0.5068   |
+| 1.4102        | 5.0   | 1262 | 1.2469          | 0.5247   |
+| 1.3806        | 6.0   | 1515 | 1.2276          | 0.5258   |
+| 1.3861        | 7.0   | 1767 | 1.2121          | 0.5411   |
+| 1.3791        | 8.0   | 2020 | 1.2075          | 0.5433   |
+| 1.3683        | 9.0   | 2272 | 1.2011          | 0.5422   |
+| 1.4119        | 9.98  | 2520 | 1.1947          | 0.5408   |
 
 
 ### Framework versions