Training in progress epoch 28

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: 0.0880
-- Validation Loss: 0.5916
-- Train Accuracy: 0.8669
-- Epoch: 27
+- Train Loss: 0.0861
+- Validation Loss: 0.8892
+- Train Accuracy: 0.7789
+- Epoch: 28
 
 ## Model description
 
@@ -72,6 +72,7 @@ The following hyperparameters were used during training:
 | 0.1033     | 0.8928          | 0.7705         | 25    |
 | 0.0636     | 0.3480          | 0.9271         | 26    |
 | 0.0880     | 0.5916          | 0.8669         | 27    |
+| 0.0861     | 0.8892          | 0.7789         | 28    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a218542cafc540eb5da61bca979f73293d3ce380424034924424b43ab1d89bd9
 size 345162424