Training in progress epoch 16

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: 0.2180
-- Validation Loss: 0.5179
-- Train Accuracy: 0.8947
-- Epoch: 14
+- Train Loss: 0.1386
+- Validation Loss: 0.2818
+- Train Accuracy: 0.9825
+- Epoch: 16
 
 ## Model description
 
@@ -59,6 +59,8 @@ The following hyperparameters were used during training:
 | 0.2773     | 0.8003          | 0.7368         | 12    |
 | 0.2694     | 0.4544          | 0.8421         | 13    |
 | 0.2180     | 0.5179          | 0.8947         | 14    |
+| 0.1515     | 0.3450          | 0.9825         | 15    |
+| 0.1386     | 0.2818          | 0.9825         | 16    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:0af726a2d0980c9062fe31feaea173233f064df7c69b232879b658054e5130fd
 size 350444216