update model card README.md

README.md

@@ -4,9 +4,22 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: vit-base-avengers-v1
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      args: avengers-dataset
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8683385579937304
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +28,9 @@ should probably proofread and complete it, then remove this comment. -->
 # vit-base-avengers-v1
 
 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: 0.5324
+- Accuracy: 0.8683
 
 ## Model description
 
@@ -44,6 +60,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8183        | 1.27  | 100  | 1.0134          | 0.8464   |
+| 0.2234        | 2.53  | 200  | 0.6146          | 0.8495   |
+| 0.1206        | 3.8   | 300  | 0.5324          | 0.8683   |
 
 
 ### Framework versions