Training in progress epoch 15

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: 0.0715
-- Train Accuracy: 0.9992
+- Train Loss: 0.0637
+- Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1503
-- Validation Accuracy: 0.9719
+- Validation Loss: 0.1426
+- Validation Accuracy: 0.9762
 - Validation Top-3-accuracy: 0.9978
-- Epoch: 14
+- Epoch: 15
 
 ## Model description
 
@@ -62,6 +62,7 @@ The following hyperparameters were used during training:
 | 0.0925     | 0.9992         | 1.0                  | 0.1714          | 0.9719              | 0.9978                    | 12    |
 | 0.0809     | 0.9992         | 1.0                  | 0.1595          | 0.9719              | 0.9978                    | 13    |
 | 0.0715     | 0.9992         | 1.0                  | 0.1503          | 0.9719              | 0.9978                    | 14    |
+| 0.0637     | 1.0            | 1.0                  | 0.1426          | 0.9762              | 0.9978                    | 15    |
 
 
 ### Framework versions

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

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tf_model.h5

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