Training in progress epoch 4

README.md

@@ -15,13 +15,13 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0308
-- Train Accuracy: 0.9797
-- Train Top-3-accuracy: 0.9971
-- Validation Loss: 0.0549
-- Validation Accuracy: 0.9818
-- Validation Top-3-accuracy: 0.9974
-- Epoch: 3
+- Train Loss: 0.0217
+- Train Accuracy: 0.9835
+- Train Top-3-accuracy: 0.9977
+- Validation Loss: 0.0529
+- Validation Accuracy: 0.9850
+- Validation Top-3-accuracy: 0.9979
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.0997     | 0.9615         | 0.9929               | 0.0886          | 0.9689              | 0.9948                    | 1     |
 | 0.0519     | 0.9735         | 0.9958               | 0.0642          | 0.9771              | 0.9966                    | 2     |
 | 0.0308     | 0.9797         | 0.9971               | 0.0549          | 0.9818              | 0.9974                    | 3     |
+| 0.0217     | 0.9835         | 0.9977               | 0.0529          | 0.9850              | 0.9979                    | 4     |
 
 
 ### Framework versions

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tf_model.h5

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