Model save

README.md

@@ -17,7 +17,7 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2065
+- Loss: 0.2035
 - Accuracy: 0.9205
 
 ## Model description
@@ -53,10 +53,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.3799        | 1.0   | 137  | 0.2477          | 0.8977   |
-| 0.2096        | 2.0   | 275  | 0.2347          | 0.9068   |
-| 0.1774        | 3.0   | 412  | 0.2109          | 0.9159   |
-| 0.1561        | 3.99  | 548  | 0.2065          | 0.9205   |
+| 0.3754        | 1.0   | 137  | 0.2462          | 0.9009   |
+| 0.2061        | 2.0   | 275  | 0.2359          | 0.9095   |
+| 0.1735        | 3.0   | 412  | 0.2003          | 0.9245   |
+| 0.1517        | 3.99  | 548  | 0.2035          | 0.9205   |
 
 
 ### Framework versions

model.safetensors

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 size 343223968

runs/Mar18_04-35-12_d7163b31276a/events.out.tfevents.1710736513.d7163b31276a.34.2

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