Training in progress epoch 43

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: 0.0099
+- Train Loss: 0.0094
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1094
+- Validation Loss: 0.1095
 - Validation Accuracy: 0.9719
-- Validation Top-3-accuracy: 0.9935
-- Epoch: 42
+- Validation Top-3-accuracy: 0.9914
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.0109     | 1.0            | 1.0                  | 0.1088          | 0.9719              | 0.9914                    | 40    |
 | 0.0104     | 1.0            | 1.0                  | 0.1087          | 0.9719              | 0.9914                    | 41    |
 | 0.0099     | 1.0            | 1.0                  | 0.1094          | 0.9719              | 0.9935                    | 42    |
+| 0.0094     | 1.0            | 1.0                  | 0.1095          | 0.9719              | 0.9914                    | 43    |
 
 
 ### Framework versions

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tf_model.h5

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