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: 0.3585
-- Train Accuracy: 0.9294
-- Train Top-3-accuracy: 0.9891
-- Validation Loss: 0.7194
-- Validation Accuracy: 0.7902
+- Train Loss: 0.2290
+- Train Accuracy: 0.9618
+- Train Top-3-accuracy: 0.9950
+- Validation Loss: 0.7078
+- Validation Accuracy: 0.7866
 - Validation Top-3-accuracy: 0.9473
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.9375     | 0.7526         | 0.9398               | 0.9144          | 0.7330              | 0.9277                    | 1     |
 | 0.5873     | 0.8659         | 0.9756               | 0.7693          | 0.7777              | 0.9464                    | 2     |
 | 0.3585     | 0.9294         | 0.9891               | 0.7194          | 0.7902              | 0.9473                    | 3     |
+| 0.2290     | 0.9618         | 0.9950               | 0.7078          | 0.7866              | 0.9473                    | 4     |
 
 
 ### Framework versions

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