update model card README.md

README.md

@@ -7,7 +7,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: Pokemon Classifier
+- name: pokemon_classifier
   results:
   - task:
       name: Image Classification
@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.09496402877697842
+      value: 0.08848920863309352
 ---
 
 <!-- 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](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
+- Loss: 8.0935
+- Accuracy: 0.0885
 
 ## Model description
 
@@ -63,10 +63,10 @@ The following hyperparameters were used during training:
 
 | 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   |
+| 2.0872        | 0.82  | 500  | 7.2669          | 0.0640   |
+| 0.1581        | 1.64  | 1000 | 7.6072          | 0.0712   |
+| 0.0536        | 2.46  | 1500 | 7.8952          | 0.0842   |
+| 0.0169        | 3.28  | 2000 | 8.0935          | 0.0885   |
 
 
 ### Framework versions