update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - pokemon-classification
+metrics:
+- accuracy
 model-index:
 - name: pokemon_classifier
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: pokemon-classification
+      type: pokemon-classification
+      config: full
+      split: validation
+      args: full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.09496402877697842
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,6 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
 # pokemon_classifier
 
 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the pokemon-classification dataset.
+It achieves the following results on the evaluation set:
+- Loss: 8.0010
+- Accuracy: 0.0950
 
 ## Model description
 
@@ -43,6 +61,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3716        | 0.82  | 500  | 7.1987          | 0.0655   |
+| 0.1136        | 1.64  | 1000 | 7.6050          | 0.0777   |
+| 0.0434        | 2.46  | 1500 | 8.0010          | 0.0820   |
+| 0.0163        | 3.28  | 2000 | 8.0010          | 0.0950   |
 
 
 ### Framework versions