Training in progress epoch 3

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: 0.0519
-- Train Accuracy: 0.9735
-- Train Top-3-accuracy: 0.9958
-- Validation Loss: 0.0642
-- Validation Accuracy: 0.9771
-- Validation Top-3-accuracy: 0.9966
-- Epoch: 2
+- 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
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.4701     | 0.8661         | 0.9502               | 0.1578          | 0.9489              | 0.9895                    | 0     |
 | 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     |
 
 
 ### Framework versions

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tf_model.h5

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