Training in progress epoch 5

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: 4.4541
-- Validation Loss: 4.4703
-- Train Accuracy: 0.1844
-- Epoch: 4
+- Train Loss: 3.9330
+- Validation Loss: 4.0779
+- Train Accuracy: 0.2841
+- Epoch: 5
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 5.0415     | 4.9860          | 0.0278         | 2     |
 | 4.8179     | 4.7812          | 0.0781         | 3     |
 | 4.4541     | 4.4703          | 0.1844         | 4     |
+| 3.9330     | 4.0779          | 0.2841         | 5     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8a7f5b34aa249da3d1e8af183e7591c966f948a7d8fc2828dacef21092403237
+oid sha256:5d442588aa69e3f59d0192326842490477186ac7e06da480edc00e0bea88c941
 size 345162424