update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: F1
       type: f1
-      value: 0.580441640378549
+      value: 0.37288135593220334
 ---
 
 <!-- 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 imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4047
-- F1: 0.5804
+- Loss: 1.2998
+- F1: 0.3729
 
 ## Model description
 
@@ -57,16 +57,33 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 16
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.249         | 0.79  | 100  | 0.6620          | 0.3190 |
-| 0.0348        | 1.59  | 200  | 0.5145          | 0.4275 |
-| 0.0135        | 2.38  | 300  | 0.4047          | 0.5804 |
+| 0.1696        | 0.79  | 100  | 1.1385          | 0.352  |
+| 0.08          | 1.59  | 200  | 0.9071          | 0.3774 |
+| 0.0928        | 2.38  | 300  | 1.1181          | 0.3454 |
+| 0.0189        | 3.17  | 400  | 0.8262          | 0.3425 |
+| 0.0728        | 3.97  | 500  | 0.9647          | 0.3747 |
+| 0.0756        | 4.76  | 600  | 0.6097          | 0.4776 |
+| 0.0018        | 5.56  | 700  | 1.3900          | 0.3652 |
+| 0.002         | 6.35  | 800  | 0.7498          | 0.4606 |
+| 0.0304        | 7.14  | 900  | 1.4367          | 0.3666 |
+| 0.0024        | 7.94  | 1000 | 1.5714          | 0.3041 |
+| 0.0463        | 8.73  | 1100 | 0.8038          | 0.4016 |
+| 0.0014        | 9.52  | 1200 | 0.7175          | 0.4795 |
+| 0.0015        | 10.32 | 1300 | 1.0347          | 0.3959 |
+| 0.0009        | 11.11 | 1400 | 1.3881          | 0.3670 |
+| 0.0131        | 11.9  | 1500 | 1.0780          | 0.4044 |
+| 0.0007        | 12.7  | 1600 | 0.9834          | 0.4255 |
+| 0.0011        | 13.49 | 1700 | 1.0753          | 0.4033 |
+| 0.0007        | 14.29 | 1800 | 1.1514          | 0.3989 |
+| 0.0007        | 15.08 | 1900 | 1.2373          | 0.3769 |
+| 0.0007        | 15.87 | 2000 | 1.2998          | 0.3729 |
 
 
 ### Framework versions