Training in progress epoch 6

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: 1.1288
-- Validation Loss: 1.3594
-- Train Accuracy: 0.6842
-- Epoch: 4
+- Train Loss: 0.6577
+- Validation Loss: 0.8531
+- Train Accuracy: 0.8421
+- Epoch: 6
 
 ## Model description
 
@@ -49,6 +49,8 @@ The following hyperparameters were used during training:
 | 1.8026     | 1.8798          | 0.4912         | 2     |
 | 1.4641     | 1.6673          | 0.5439         | 3     |
 | 1.1288     | 1.3594          | 0.6842         | 4     |
+| 0.9426     | 1.0517          | 0.8070         | 5     |
+| 0.6577     | 0.8531          | 0.8421         | 6     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ad40d99758bebaa5e618c7a71bc33c675cb6ef2b30e90687af03d4a9652e272c
 size 350444216