Training in progress epoch 9

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: 0.0692
-- Validation Loss: 0.6530
-- Train Accuracy: 0.7909
-- Epoch: 8
+- Train Loss: 0.0498
+- Validation Loss: 0.1617
+- Train Accuracy: 0.9636
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.0364     | 0.0717          | 0.9818         | 6     |
 | 0.0562     | 0.3374          | 0.8727         | 7     |
 | 0.0692     | 0.6530          | 0.7909         | 8     |
+| 0.0498     | 0.1617          | 0.9636         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:31e99d04316702f7a8228257c9a7fe6c26557241227a01337bc620dd5de092a1
+oid sha256:880d3b17d73dffbc5daf8e0fc0454fb13ead6555f4724b501f68efeac22bfd5e
 size 344677048