Training in progress epoch 2

README.md

@@ -19,11 +19,11 @@ 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 the mnist dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.3538
-- Train Accuracy: 0.9149
-- Validation Loss: 0.9913
-- Validation Accuracy: 0.9149
-- Epoch: 1
+- Train Loss: 0.9517
+- Train Accuracy: 0.934
+- Validation Loss: 0.7421
+- Validation Accuracy: 0.9340
+- Epoch: 2
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
 | 2.0107     | 0.8548         | 1.5288          | 0.8548              | 0     |
 | 1.3538     | 0.9149         | 0.9913          | 0.9149              | 1     |
+| 0.9517     | 0.934          | 0.7421          | 0.9340              | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a63b3533fb0a3d972c91818c5bd85ee2e9c89d4d6f42a3e8fef22e4e42f26e18
+oid sha256:8c264ccadcd2a418b1cb672704d0781972b25a677385cbb1ef9c5bfe9c90910f
 size 343494328