Training in progress epoch 2

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.8928
-- Validation Loss: 0.6662
-- Train Accuracy: 0.931
-- Epoch: 1
+- Train Loss: 0.3831
+- Validation Loss: 0.4001
+- Train Accuracy: 0.938
+- Epoch: 2
 
 ## Model description
 
@@ -45,6 +45,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.5557     | 1.4200          | 0.897          | 0     |
 | 0.8928     | 0.6662          | 0.931          | 1     |
+| 0.3831     | 0.4001          | 0.938          | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1b1c6932d8e074753e4035b8a2ce55c7242bbca273fbe9a32cc39a9a9f3a88ef
+oid sha256:1cae0376e446373e0a8dd929861a5c5c8a44d11d05924c0b3e3ce09c504db60f
 size 343773984