Training in progress epoch 29

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: 0.0861
-- Validation Loss: 0.8892
-- Train Accuracy: 0.7789
-- Epoch: 28
+- Train Loss: 0.0993
+- Validation Loss: 0.6967
+- Train Accuracy: 0.8166
+- Epoch: 29
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.0636     | 0.3480          | 0.9271         | 26    |
 | 0.0880     | 0.5916          | 0.8669         | 27    |
 | 0.0861     | 0.8892          | 0.7789         | 28    |
+| 0.0993     | 0.6967          | 0.8166         | 29    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a218542cafc540eb5da61bca979f73293d3ce380424034924424b43ab1d89bd9
+oid sha256:f8178b980e72f1f38e623f8758e30778dc513e298b17e7dd323da60455bf4eca
 size 345162424