Model save

README.md

@@ -32,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6259
+- Loss: 0.6314
 - Accuracy: 0.725
 
 ## Model description
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 0.5894          | 0.725    |
-| 4.9271        | 2.0   | 16   | 0.5880          | 0.725    |
-| 1.7276        | 3.0   | 24   | 0.6259          | 0.725    |
+| No log        | 1.0   | 8    | 2.4704          | 0.275    |
+| 8.3532        | 2.0   | 16   | 0.6854          | 0.725    |
+| 0.9363        | 3.0   | 24   | 0.6314          | 0.725    |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:c9282c5968425c0c4276644edf1dd9688cbb242c882dc6d4ac0cab50ff766264
+oid sha256:fbb51149e3ab4f2462ff4ccfc4d640ed7e6145853f9787eff19d9f50af37b271
 size 410307017