Training in progress epoch 5

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: 0.1333
-- Train Accuracy: 0.9649
-- Train Top-3-accuracy: 0.9981
-- Validation Loss: 0.4799
-- Validation Accuracy: 0.8513
-- Validation Top-3-accuracy: 0.9837
-- Epoch: 4
+- Train Loss: 0.0861
+- Train Accuracy: 0.9775
+- Train Top-3-accuracy: 0.9991
+- Validation Loss: 0.6749
+- Validation Accuracy: 0.8113
+- Validation Top-3-accuracy: 0.9740
+- Epoch: 5
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.3966     | 0.8815         | 0.9896               | 0.5364          | 0.8120              | 0.9777                    | 2     |
 | 0.2310     | 0.9338         | 0.9964               | 0.4965          | 0.8427              | 0.9817                    | 3     |
 | 0.1333     | 0.9649         | 0.9981               | 0.4799          | 0.8513              | 0.9837                    | 4     |
+| 0.0861     | 0.9775         | 0.9991               | 0.6749          | 0.8113              | 0.9740                    | 5     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1717140134.e2e-60-58.11212.1.v2

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logs/validation/events.out.tfevents.1717140628.e2e-60-58.11212.2.v2

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tf_model.h5

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