update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.60703125
+      value: 0.8375
 ---
 
 <!-- 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: 0.8104
-- Accuracy: 0.6070
+- Loss: 0.4065
+- Accuracy: 0.8375
 
 ## Model description
 
@@ -60,15 +60,22 @@ 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.8671        | 1.0   | 80   | 0.9061          | 0.5820   |
-| 0.804         | 2.0   | 160  | 0.8485          | 0.6016   |
-| 0.7406        | 3.0   | 240  | 0.8104          | 0.6070   |
+| 0.692         | 1.0   | 80   | 0.8592          | 0.6258   |
+| 0.662         | 2.0   | 160  | 0.7454          | 0.6781   |
+| 0.6124        | 3.0   | 240  | 0.6895          | 0.6922   |
+| 0.5851        | 4.0   | 320  | 0.6332          | 0.7430   |
+| 0.5495        | 5.0   | 400  | 0.5804          | 0.7586   |
+| 0.4334        | 6.0   | 480  | 0.6068          | 0.7484   |
+| 0.4169        | 7.0   | 560  | 0.5168          | 0.7883   |
+| 0.3709        | 8.0   | 640  | 0.4768          | 0.8055   |
+| 0.2854        | 9.0   | 720  | 0.4641          | 0.8117   |
+| 0.3064        | 10.0  | 800  | 0.4065          | 0.8375   |
 
 
 ### Framework versions