Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
+      value: 0.9666666666666667
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-large-patch16-224](https://huggingface.co/google/vit-large-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2942
-- Accuracy: 1.0
+- Loss: 0.3882
+- Accuracy: 0.9667
 
 ## Model description
 
@@ -69,7 +69,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.9027        | 6.6667 | 10   | 0.2942          | 1.0      |
+| 0.9239        | 6.6667 | 10   | 0.3882          | 0.9667   |
 
 
 ### Framework versions

runs/Nov12_15-56-26_5ee1c52bb489/events.out.tfevents.1731427087.5ee1c52bb489.1573.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5583
+oid sha256:aeae7b32111d1935dc0e52703d9a86f11376cbc599ca7c29cc8b3a8b5a1511c6
+size 5931