Training in progress epoch 3

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: 0.4135
-- Train Accuracy: 0.8942
-- Train Top-3-accuracy: 0.9814
-- Validation Loss: 0.7119
-- Validation Accuracy: 0.7848
-- Validation Top-3-accuracy: 0.9475
-- Epoch: 2
+- Train Loss: 0.2566
+- Train Accuracy: 0.9449
+- Train Top-3-accuracy: 0.9892
+- Validation Loss: 0.7212
+- Validation Accuracy: 0.7860
+- Validation Top-3-accuracy: 0.9451
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 1.3672     | 0.6720         | 0.8895               | 0.8886          | 0.7613              | 0.9415                    | 0     |
 | 0.6745     | 0.8197         | 0.9615               | 0.7492          | 0.7790              | 0.9427                    | 1     |
 | 0.4135     | 0.8942         | 0.9814               | 0.7119          | 0.7848              | 0.9475                    | 2     |
+| 0.2566     | 0.9449         | 0.9892               | 0.7212          | 0.7860              | 0.9451                    | 3     |
 
 
 ### Framework versions

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