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-patch32-384](https://huggingface.co/google/vit-base-patch32-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1181
-- Validation Loss: 0.4988
-- Train Accuracy: 0.8193
-- Epoch: 10
+- Train Loss: 0.1241
+- Validation Loss: 0.2899
+- Train Accuracy: 0.8795
+- Epoch: 11
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.1269     | 0.3304          | 0.8675         | 8     |
 | 0.0970     | 0.2980          | 0.8795         | 9     |
 | 0.1181     | 0.4988          | 0.8193         | 10    |
+| 0.1241     | 0.2899          | 0.8795         | 11    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4bce52c0afedeb31ba8ef496da1c805276b45e77eec3dfc34070f3a7d58404ec
+oid sha256:ccf5bca8e11d9e08b75ac121bd8bee2b2a715664c58d1d5def7a7ce0e9f38118
 size 350444216