update model card README.md

README.md

@@ -16,8 +16,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0323
-- Accuracy: 0.9901
+- Loss: 0.0279
+- Accuracy: 0.9928
 
 ## Model description
 
@@ -45,15 +45,22 @@ 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: 3
+- num_epochs: 10
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1624        | 1.0   | 1406 | 0.0552          | 0.9799   |
-| 0.1376        | 2.0   | 2812 | 0.0345          | 0.9895   |
-| 0.086         | 3.0   | 4218 | 0.0323          | 0.9901   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.1943        | 1.0   | 1406  | 0.0682          | 0.9757   |
+| 0.1288        | 2.0   | 2812  | 0.0423          | 0.9852   |
+| 0.0952        | 3.0   | 4218  | 0.0393          | 0.9866   |
+| 0.0743        | 4.0   | 5625  | 0.0410          | 0.9866   |
+| 0.0587        | 5.0   | 7031  | 0.0332          | 0.9889   |
+| 0.0493        | 6.0   | 8437  | 0.0253          | 0.9919   |
+| 0.06          | 7.0   | 9843  | 0.0279          | 0.9922   |
+| 0.0738        | 8.0   | 11250 | 0.0326          | 0.9907   |
+| 0.065         | 9.0   | 12656 | 0.0278          | 0.9931   |
+| 0.045         | 10.0  | 14060 | 0.0279          | 0.9928   |
 
 
 ### Framework versions