Training in progress epoch 2

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: 1.5898
-- Train Accuracy: 0.6751
-- Train Top-3-accuracy: 0.8667
-- Validation Loss: 1.3100
-- Validation Accuracy: 0.7473
-- Validation Top-3-accuracy: 0.8942
-- Epoch: 1
+- Train Loss: 1.0779
+- Train Accuracy: 0.8385
+- Train Top-3-accuracy: 0.9462
+- Validation Loss: 0.9432
+- Validation Accuracy: 0.8575
+- Validation Top-3-accuracy: 0.9503
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.2785     | 0.3948         | 0.6296               | 1.8843          | 0.5767              | 0.8207                    | 0     |
 | 1.5898     | 0.6751         | 0.8667               | 1.3100          | 0.7473              | 0.8942                    | 1     |
+| 1.0779     | 0.8385         | 0.9462               | 0.9432          | 0.8575              | 0.9503                    | 2     |
 
 
 ### Framework versions

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tf_model.h5

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