Training in progress epoch 22

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: 0.0281
-- Validation Loss: 0.2690
-- Train Accuracy: 0.9036
-- Epoch: 21
+- Train Loss: 0.0478
+- Validation Loss: 0.2169
+- Train Accuracy: 0.9277
+- Epoch: 22
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.0471     | 0.5727          | 0.8675         | 19    |
 | 0.0652     | 0.3167          | 0.8916         | 20    |
 | 0.0281     | 0.2690          | 0.9036         | 21    |
+| 0.0478     | 0.2169          | 0.9277         | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:91785abb3c85bbc25b9f1271b4f993eb7e8e9d70d811c1d35984e3f55ea7ce5d
 size 350444216