Model save

README.md

@@ -18,8 +18,8 @@ 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: 0.1416
-- Accuracy: 0.9774
+- Loss: 0.0361
+- Accuracy: 0.9850
 
 ## Model description
 
@@ -50,7 +50,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.0606        | 3.8462 | 500  | 0.1416          | 0.9774   |
+| 0.1304        | 3.8462 | 500  | 0.0361          | 0.9850   |
 
 
 ### Framework versions

runs/Jan21_01-10-15_df71247a6df6/events.out.tfevents.1737422045.df71247a6df6.832.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 5665
+oid sha256:95fcdf7c14c6d95e0f6d3109beec52b7b66a09dcda34555f0a1db19d150cab9e
+size 6019