Training in progress epoch 1

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: 2.5557
-- Validation Loss: 1.4200
-- Train Accuracy: 0.897
-- Epoch: 0
+- Train Loss: 0.8928
+- Validation Loss: 0.6662
+- Train Accuracy: 0.931
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 2.5557     | 1.4200          | 0.897          | 0     |
+| 0.8928     | 0.6662          | 0.931          | 1     |
 
 
 ### Framework versions

tf_model.h5

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