Training in progress epoch 3

README.md

@@ -14,13 +14,13 @@ 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: 0.0503
-- Train Accuracy: 0.9946
-- Train Top-3-accuracy: 0.9999
-- Validation Loss: 0.0720
-- Validation Accuracy: 0.9857
-- Validation Top-3-accuracy: 0.9998
-- Epoch: 2
+- Train Loss: 0.0297
+- Train Accuracy: 0.9978
+- Train Top-3-accuracy: 1.0000
+- Validation Loss: 0.0606
+- Validation Accuracy: 0.9881
+- Validation Top-3-accuracy: 0.9995
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.4737     | 0.9429         | 0.9862               | 0.1568          | 0.9788              | 0.9993                    | 0     |
 | 0.0998     | 0.9878         | 0.9996               | 0.1010          | 0.9805              | 0.9993                    | 1     |
 | 0.0503     | 0.9946         | 0.9999               | 0.0720          | 0.9857              | 0.9998                    | 2     |
+| 0.0297     | 0.9978         | 1.0000               | 0.0606          | 0.9881              | 0.9995                    | 3     |
 
 
 ### Framework versions

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tf_model.h5

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