Training in progress epoch 12

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: 0.1073
+- Train Loss: 0.0925
 - Train Accuracy: 0.9992
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1840
-- Validation Accuracy: 0.9741
+- Validation Loss: 0.1714
+- Validation Accuracy: 0.9719
 - Validation Top-3-accuracy: 0.9978
-- Epoch: 11
+- Epoch: 12
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.0925     | 0.9992         | 1.0                  | 0.1714          | 0.9719              | 0.9978                    | 12    |
 
 
 ### Framework versions

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