Training in progress epoch 13

README.md

@@ -15,11 +15,11 @@ 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: 0.3255
+- Train Loss: 0.3256
 - Train Accuracy: 0.8795
-- Validation Loss: 0.6897
-- Validation Accuracy: 0.6853
-- Epoch: 12
+- Validation Loss: 0.6907
+- Validation Accuracy: 0.6848
+- Epoch: 13
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.3258     | 0.8793         | 0.6896          | 0.6859              | 10    |
 | 0.3256     | 0.8796         | 0.6871          | 0.6864              | 11    |
 | 0.3255     | 0.8795         | 0.6897          | 0.6853              | 12    |
+| 0.3256     | 0.8795         | 0.6907          | 0.6848              | 13    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701546466.49fb5efe728d.314.1.v2

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logs/validation/events.out.tfevents.1701546948.49fb5efe728d.314.2.v2

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