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-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: 0.1269
-- Validation Loss: 0.3304
-- Train Accuracy: 0.8675
-- Epoch: 8
+- Train Loss: 0.0970
+- Validation Loss: 0.2980
+- Train Accuracy: 0.8795
+- Epoch: 9
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.1794     | 0.5000          | 0.9157         | 6     |
 | 0.2579     | 0.7721          | 0.7349         | 7     |
 | 0.1269     | 0.3304          | 0.8675         | 8     |
+| 0.0970     | 0.2980          | 0.8795         | 9     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:ec5fdb9e72aff67770820f11b2ec45e75b526ee62942eff33bc8388caeb8d253
 size 350444216