Training in progress epoch 1

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: 1.3672
-- Train Accuracy: 0.6720
-- Train Top-3-accuracy: 0.8895
-- Validation Loss: 0.8886
-- Validation Accuracy: 0.7613
-- Validation Top-3-accuracy: 0.9415
-- Epoch: 0
+- Train Loss: 0.6745
+- Train Accuracy: 0.8197
+- Train Top-3-accuracy: 0.9615
+- Validation Loss: 0.7492
+- Validation Accuracy: 0.7790
+- Validation Top-3-accuracy: 0.9427
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 1.3672     | 0.6720         | 0.8895               | 0.8886          | 0.7613              | 0.9415                    | 0     |
+| 0.6745     | 0.8197         | 0.9615               | 0.7492          | 0.7790              | 0.9427                    | 1     |
 
 
 ### Framework versions

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tf_model.h5

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