Training in progress epoch 4

README.md

@@ -14,10 +14,10 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1892
-- Validation Loss: 0.3486
-- Train Accuracy: 0.93
-- Epoch: 3
+- Train Loss: 0.1163
+- Validation Loss: 0.2927
+- Train Accuracy: 0.936
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | 0.8928     | 0.6662          | 0.931          | 1     |
 | 0.3831     | 0.4001          | 0.938          | 2     |
 | 0.1892     | 0.3486          | 0.93           | 3     |
+| 0.1163     | 0.2927          | 0.936          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:29f400f02dc4b8ea70c4d08a6d30784abe0062e670586eb69073002dc7531c9c
 size 343773984