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: 0.0063
+- Train Loss: 0.0042
 - Train Accuracy: 1.0
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0139
+- Validation Loss: 0.0126
 - Validation Accuracy: 0.9983
 - Validation Top-3-accuracy: 1.0
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 | 0.1624     | 0.9544         | 1.0                  | 0.0380          | 0.9933              | 1.0                       | 0     |
 | 0.0178     | 0.9979         | 1.0                  | 0.0197          | 0.9966              | 1.0                       | 1     |
 | 0.0063     | 1.0            | 1.0                  | 0.0139          | 0.9983              | 1.0                       | 2     |
+| 0.0042     | 1.0            | 1.0                  | 0.0126          | 0.9983              | 1.0                       | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1689363756.53e3470a3316.28072.0.v2

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tf_model.h5

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