Training in progress epoch 11

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: 0.1423
-- Train Accuracy: 0.9969
-- Train Top-3-accuracy: 0.9996
-- Validation Loss: 0.2129
-- Validation Accuracy: 0.9654
-- Validation Top-3-accuracy: 0.9957
-- Epoch: 10
+- Train Loss: 0.1073
+- Train Accuracy: 0.9992
+- Train Top-3-accuracy: 1.0
+- Validation Loss: 0.1840
+- Validation Accuracy: 0.9741
+- Validation Top-3-accuracy: 0.9978
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.1976     | 0.9935         | 0.9989               | 0.3250          | 0.9546              | 0.9914                    | 8     |
 | 0.1686     | 0.9939         | 0.9992               | 0.4980          | 0.8920              | 0.9762                    | 9     |
 | 0.1423     | 0.9969         | 0.9996               | 0.2129          | 0.9654              | 0.9957                    | 10    |
+| 0.1073     | 0.9992         | 1.0                  | 0.1840          | 0.9741              | 0.9978                    | 11    |
 
 
 ### Framework versions

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