Training in progress epoch 4

README.md

@@ -14,13 +14,13 @@ 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: 0.4785
-- Train Accuracy: 0.9953
-- Train Top-3-accuracy: 0.9995
-- Validation Loss: 0.5058
-- Validation Accuracy: 0.9755
+- Train Loss: 0.4026
+- Train Accuracy: 0.9981
+- Train Top-3-accuracy: 0.9998
+- Validation Loss: 0.4715
+- Validation Accuracy: 0.9796
 - Validation Top-3-accuracy: 0.9980
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 1.1313     | 0.9522         | 0.9942               | 0.8788          | 0.9613              | 0.9966                    | 1     |
 | 0.6741     | 0.9841         | 0.9985               | 0.6268          | 0.9640              | 0.9986                    | 2     |
 | 0.4785     | 0.9953         | 0.9995               | 0.5058          | 0.9755              | 0.9980                    | 3     |
+| 0.4026     | 0.9981         | 0.9998               | 0.4715          | 0.9796              | 0.9980                    | 4     |
 
 
 ### Framework versions

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