Training in progress epoch 21

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: 0.0652
-- Validation Loss: 0.3167
-- Train Accuracy: 0.8916
-- Epoch: 20
+- Train Loss: 0.0281
+- Validation Loss: 0.2690
+- Train Accuracy: 0.9036
+- Epoch: 21
 
 ## Model description
 
@@ -65,6 +65,7 @@ The following hyperparameters were used during training:
 | 0.0241     | 0.3772          | 0.8554         | 18    |
 | 0.0471     | 0.5727          | 0.8675         | 19    |
 | 0.0652     | 0.3167          | 0.8916         | 20    |
+| 0.0281     | 0.2690          | 0.9036         | 21    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5e96c02e487403cc61cc900d7a471045e9ae6b919789babfd84ea7b4811d063c
+oid sha256:e2143cb23613b8db6c1059aac2922b5c44817f8f70ccbc40cd191dfc3e31865a
 size 350444216