Training in progress epoch 8

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: 2.6546
-- Validation Loss: 3.3371
-- Train Accuracy: 0.4313
-- Epoch: 7
+- Train Loss: 2.0435
+- Validation Loss: 3.0037
+- Train Accuracy: 0.4727
+- Epoch: 8
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 3.9330     | 4.0779          | 0.2841         | 5     |
 | 3.3155     | 3.6691          | 0.3650         | 6     |
 | 2.6546     | 3.3371          | 0.4313         | 7     |
+| 2.0435     | 3.0037          | 0.4727         | 8     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ca6093ea2014d57c02480170c0b97eff47525b3ea83cfc49edf530bac66ed998
 size 345162424