Training in progress epoch 7

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: 0.2554
-- Train Accuracy: 0.9966
+- Train Loss: 0.2346
+- Train Accuracy: 0.9905
 - Train Top-3-accuracy: 0.9992
-- Validation Loss: 0.3107
-- Validation Accuracy: 0.9676
-- Validation Top-3-accuracy: 0.9978
-- Epoch: 6
+- Validation Loss: 0.3804
+- Validation Accuracy: 0.9287
+- Validation Top-3-accuracy: 0.9914
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.4698     | 0.9805         | 0.9939               | 0.5104          | 0.9395              | 0.9870                    | 4     |
 | 0.3375     | 0.9897         | 0.9973               | 0.3975          | 0.9590              | 0.9892                    | 5     |
 | 0.2554     | 0.9966         | 0.9992               | 0.3107          | 0.9676              | 0.9978                    | 6     |
+| 0.2346     | 0.9905         | 0.9992               | 0.3804          | 0.9287              | 0.9914                    | 7     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699744453.48cd21698220.35352.2.v2

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tf_model.h5

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