Training in progress epoch 7

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: 3.3155
-- Validation Loss: 3.6691
-- Train Accuracy: 0.3650
-- Epoch: 6
+- Train Loss: 2.6546
+- Validation Loss: 3.3371
+- Train Accuracy: 0.4313
+- Epoch: 7
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 4.4541     | 4.4703          | 0.1844         | 4     |
 | 3.9330     | 4.0779          | 0.2841         | 5     |
 | 3.3155     | 3.6691          | 0.3650         | 6     |
+| 2.6546     | 3.3371          | 0.4313         | 7     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a7fd86e26edad76136e0c7c85a82afc84244f89715951a1a15f5a9e102d448d0
 size 345162424