Training in progress epoch 3

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: 0.9517
-- Train Accuracy: 0.934
-- Validation Loss: 0.7421
-- Validation Accuracy: 0.9340
-- Epoch: 2
+- Train Loss: 0.6882
+- Train Accuracy: 0.9467
+- Validation Loss: 0.5690
+- Validation Accuracy: 0.9467
+- Epoch: 3
 
 ## Model description
 
@@ -52,6 +52,7 @@ 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     |
+| 0.6882     | 0.9467         | 0.5690          | 0.9467              | 3     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:059648b91472d55ec75804c19d2e0c939ab1d759e96369e6e5fe02d2b1a67e68
 size 343494328