Training in progress epoch 22

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: 0.0359
+- Train Loss: 0.0331
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1191
-- Validation Accuracy: 0.9784
-- Validation Top-3-accuracy: 0.9957
-- Epoch: 21
+- Validation Loss: 0.1178
+- Validation Accuracy: 0.9762
+- Validation Top-3-accuracy: 0.9914
+- Epoch: 22
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 0.0427     | 1.0            | 1.0                  | 0.1248          | 0.9784              | 0.9957                    | 19    |
 | 0.0392     | 1.0            | 1.0                  | 0.1224          | 0.9784              | 0.9957                    | 20    |
 | 0.0359     | 1.0            | 1.0                  | 0.1191          | 0.9784              | 0.9957                    | 21    |
+| 0.0331     | 1.0            | 1.0                  | 0.1178          | 0.9762              | 0.9914                    | 22    |
 
 
 ### Framework versions

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tf_model.h5

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