Training in progress epoch 3

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: 0.0943
-- Train Accuracy: 0.9760
+- Train Loss: 0.0576
+- Train Accuracy: 0.9863
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1654
-- Validation Accuracy: 0.9436
+- Validation Loss: 0.1457
+- Validation Accuracy: 0.9520
 - Validation Top-3-accuracy: 1.0
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.4326     | 0.8143         | 1.0                  | 0.2613          | 0.9102              | 1.0                       | 0     |
 | 0.1770     | 0.9413         | 1.0                  | 0.1919          | 0.9332              | 1.0                       | 1     |
 | 0.0943     | 0.9760         | 1.0                  | 0.1654          | 0.9436              | 1.0                       | 2     |
+| 0.0576     | 0.9863         | 1.0                  | 0.1457          | 0.9520              | 1.0                       | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1708755158.ed9548208ee2.34.0.v2

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logs/validation/events.out.tfevents.1708755353.ed9548208ee2.34.1.v2

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tf_model.h5

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