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: 0.0718
-- Validation Loss: 0.2548
-- Train Accuracy: 1.0
-- Epoch: 20
+- Train Loss: 0.0453
+- Validation Loss: 0.1565
+- Train Accuracy: 0.9825
+- Epoch: 22
 
 ## Model description
 
@@ -65,6 +65,8 @@ The following hyperparameters were used during training:
 | 0.0724     | 0.2456          | 0.9825         | 18    |
 | 0.0604     | 0.2432          | 0.9649         | 19    |
 | 0.0718     | 0.2548          | 1.0            | 20    |
+| 0.0507     | 0.2760          | 0.9474         | 21    |
+| 0.0453     | 0.1565          | 0.9825         | 22    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:99a9153ea02d70e2df29e635e945d1bdc1b7e0a567294759f22986b61460d4b8
 size 350444216