Training in progress epoch 4

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: 0.6974
-- Train Accuracy: 0.9448
-- Validation Loss: 0.5795
-- Validation Accuracy: 0.9448
-- Epoch: 3
+- Train Loss: 0.5080
+- Train Accuracy: 0.958
+- Validation Loss: 0.4289
+- Validation Accuracy: 0.9580
+- Epoch: 4
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.3596     | 0.9151         | 0.9948          | 0.9151              | 1     |
 | 0.9608     | 0.9302         | 0.7593          | 0.9302              | 2     |
 | 0.6974     | 0.9448         | 0.5795          | 0.9448              | 3     |
+| 0.5080     | 0.958          | 0.4289          | 0.9580              | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:46b0f2bc51cbae186d1027eee3f8a7e67076cfbae58ce44e650d27a57534007e
 size 343494328