Training in progress epoch 26

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: 0.0396
-- Validation Loss: 0.1906
-- Train Accuracy: 0.9649
-- Epoch: 24
+- Train Loss: 0.0307
+- Validation Loss: 0.2234
+- Train Accuracy: 0.9474
+- Epoch: 26
 
 ## Model description
 
@@ -69,6 +69,8 @@ The following hyperparameters were used during training:
 | 0.0453     | 0.1565          | 0.9825         | 22    |
 | 0.0274     | 0.1377          | 0.9825         | 23    |
 | 0.0396     | 0.1906          | 0.9649         | 24    |
+| 0.0360     | 0.1217          | 0.9825         | 25    |
+| 0.0307     | 0.2234          | 0.9474         | 26    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7726d3a9284904f32b54ae6811fefae33e5dc9a0b70e3b87431133ca3f067eb6
+oid sha256:7c8dbfb2d1e5e8c03470599367376da955e09d7f6002609dadd58f953c4e4d02
 size 350444216