Training in progress epoch 11

README.md

@@ -15,10 +15,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1079
-- Validation Loss: 2.4174
-- Train Accuracy: 0.5588
-- Epoch: 10
+- Train Loss: 0.7989
+- Validation Loss: 2.3590
+- Train Accuracy: 0.5532
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 2.0435     | 3.0037          | 0.4727         | 8     |
 | 1.5258     | 2.7059          | 0.5193         | 9     |
 | 1.1079     | 2.4174          | 0.5588         | 10    |
+| 0.7989     | 2.3590          | 0.5532         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:34da3b33193f4929808ecdd153f623fc1b0637e1ae21e510de792b961b86f182
+oid sha256:34b6123818ded38b48c2542a1723864fbbb4e2dd5ed1a735803443ac05d24748
 size 345162424