Training in progress epoch 6

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: 1.8445
-- Validation Loss: 2.4423
-- Train Accuracy: 0.4625
-- Epoch: 5
+- Train Loss: 1.4533
+- Validation Loss: 2.0483
+- Train Accuracy: 0.5813
+- Epoch: 6
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 2.8352     | 3.1190          | 0.3            | 3     |
 | 2.3077     | 2.7024          | 0.4            | 4     |
 | 1.8445     | 2.4423          | 0.4625         | 5     |
+| 1.4533     | 2.0483          | 0.5813         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e9a0d79421709a016f35d28d6f1ddab456e0acc81b1c9eb4cb24efda51b5714c
+oid sha256:d0e99d5045b50532f8e29cfd262dfebf1da6606b459e67453cd26ba97d5ec292
 size 350587576