Training in progress epoch 19

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: 0.0241
-- Validation Loss: 0.3772
-- Train Accuracy: 0.8554
-- Epoch: 18
+- Train Loss: 0.0471
+- Validation Loss: 0.5727
+- Train Accuracy: 0.8675
+- Epoch: 19
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.0334     | 0.2694          | 0.9277         | 16    |
 | 0.0212     | 0.1793          | 0.9639         | 17    |
 | 0.0241     | 0.3772          | 0.8554         | 18    |
+| 0.0471     | 0.5727          | 0.8675         | 19    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:864ec9d714f7074c0e5e041baf0b14e9b25c570ba57e9a2979eebde3b0c7cc02
+oid sha256:975029697e85f6f8e70463308600f7db3418620a00c46b2828c8f30402d97fcf
 size 350444216