Training in progress epoch 10

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: 0.3976
-- Validation Loss: 0.5785
-- Train Accuracy: 0.8596
-- Epoch: 8
+- Train Loss: 0.2562
+- Validation Loss: 0.5137
+- Train Accuracy: 0.8947
+- Epoch: 10
 
 ## Model description
 
@@ -53,6 +53,8 @@ The following hyperparameters were used during training:
 | 0.6577     | 0.8531          | 0.8421         | 6     |
 | 0.5025     | 0.6971          | 0.8772         | 7     |
 | 0.3976     | 0.5785          | 0.8596         | 8     |
+| 0.3052     | 0.5568          | 0.9123         | 9     |
+| 0.2562     | 0.5137          | 0.8947         | 10    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:879a0d475d07a14750e57403ed46b84f76f30634ff05252cf83b8cea275d8b31
 size 350444216