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: 0.9127
-- Train Accuracy: 0.9094
-- Train Top-3-accuracy: 0.9718
-- Validation Loss: 1.0461
-- Validation Accuracy: 0.9181
-- Validation Top-3-accuracy: 0.9753
-- Epoch: 3
+- Train Loss: 0.8190
+- Train Accuracy: 0.9248
+- Train Top-3-accuracy: 0.9777
+- Validation Loss: 0.9820
+- Validation Accuracy: 0.9308
+- Validation Top-3-accuracy: 0.9799
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 1.5487     | 0.8270         | 0.9344               | 1.4502          | 0.8624              | 0.9519                    | 1     |
 | 1.1223     | 0.8829         | 0.9609               | 1.1583          | 0.8982              | 0.9674                    | 2     |
 | 0.9127     | 0.9094         | 0.9718               | 1.0461          | 0.9181              | 0.9753                    | 3     |
+| 0.8190     | 0.9248         | 0.9777               | 0.9820          | 0.9308              | 0.9799                    | 4     |
 
 
 ### Framework versions

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