Training in progress epoch 9

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: 0.1667
-- Train Accuracy: 0.9985
+- Train Loss: 0.1398
+- Train Accuracy: 0.9992
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.2484
-- Validation Accuracy: 0.9698
+- Validation Loss: 0.2225
+- Validation Accuracy: 0.9719
 - Validation Top-3-accuracy: 0.9957
-- Epoch: 8
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.2571     | 0.9950         | 0.9981               | 0.3267          | 0.9719              | 0.9957                    | 6     |
 | 0.2031     | 0.9962         | 0.9992               | 0.2788          | 0.9741              | 0.9957                    | 7     |
 | 0.1667     | 0.9985         | 1.0                  | 0.2484          | 0.9698              | 0.9957                    | 8     |
+| 0.1398     | 0.9992         | 1.0                  | 0.2225          | 0.9719              | 0.9957                    | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699709588.7a8f504e1180.5208.2.v2

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tf_model.h5

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