update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.13125
+      value: 0.1375
 ---
 
 <!-- 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: 2.0859
-- Accuracy: 0.1313
+- Loss: 2.0892
+- Accuracy: 0.1375
 
 ## Model description
 
@@ -57,15 +57,18 @@ 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: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 2.0859          | 0.1313   |
-| No log        | 2.0   | 80   | 2.0857          | 0.1313   |
-| No log        | 3.0   | 120  | 2.0854          | 0.1313   |
+| No log        | 1.0   | 40   | 2.0892          | 0.1375   |
+| No log        | 2.0   | 80   | 2.0891          | 0.1375   |
+| No log        | 3.0   | 120  | 2.0887          | 0.1375   |
+| No log        | 4.0   | 160  | 2.0887          | 0.1375   |
+| No log        | 5.0   | 200  | 2.0885          | 0.1375   |
+| No log        | 6.0   | 240  | 2.0885          | 0.1375   |
 
 
 ### Framework versions