Training in progress epoch 13

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: 0.5857
-- Validation Loss: 1.9721
-- Train Accuracy: 0.6298
-- Epoch: 12
+- Train Loss: 0.4337
+- Validation Loss: 1.7442
+- Train Accuracy: 0.6896
+- Epoch: 13
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 1.1079     | 2.4174          | 0.5588         | 10    |
 | 0.7989     | 2.3590          | 0.5532         | 11    |
 | 0.5857     | 1.9721          | 0.6298         | 12    |
+| 0.4337     | 1.7442          | 0.6896         | 13    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eb649fcfeb1652f4ff9d3645fc48a3e576dd55972590cf3abae50b1ecc78d006
 size 345162424