Training in progress epoch 9

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: 2.0435
-- Validation Loss: 3.0037
-- Train Accuracy: 0.4727
-- Epoch: 8
+- Train Loss: 1.5258
+- Validation Loss: 2.7059
+- Train Accuracy: 0.5193
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 3.3155     | 3.6691          | 0.3650         | 6     |
 | 2.6546     | 3.3371          | 0.4313         | 7     |
 | 2.0435     | 3.0037          | 0.4727         | 8     |
+| 1.5258     | 2.7059          | 0.5193         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:073b7600ef6c48f59601e6e1592a476a4bf5dc79ee485dd9afe7857a240c7091
 size 345162424