Training in progress epoch 12

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: 0.7989
-- Validation Loss: 2.3590
-- Train Accuracy: 0.5532
-- Epoch: 11
+- Train Loss: 0.5857
+- Validation Loss: 1.9721
+- Train Accuracy: 0.6298
+- Epoch: 12
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 1.5258     | 2.7059          | 0.5193         | 9     |
 | 1.1079     | 2.4174          | 0.5588         | 10    |
 | 0.7989     | 2.3590          | 0.5532         | 11    |
+| 0.5857     | 1.9721          | 0.6298         | 12    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:174adf5e922600a1da4ee51dabc949d072ef5352d79de24429b6dedaafced2d1
 size 345162424