Training in progress epoch 1

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: 2.2742
-- Train Accuracy: 0.3856
-- Train Top-3-accuracy: 0.6522
-- Validation Loss: 1.8596
-- Validation Accuracy: 0.6112
-- Validation Top-3-accuracy: 0.8337
-- Epoch: 0
+- Train Loss: 1.5673
+- Train Accuracy: 0.6919
+- Train Top-3-accuracy: 0.8778
+- Validation Loss: 1.3120
+- Validation Accuracy: 0.7883
+- Validation Top-3-accuracy: 0.9136
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.2742     | 0.3856         | 0.6522               | 1.8596          | 0.6112              | 0.8337                    | 0     |
+| 1.5673     | 0.6919         | 0.8778               | 1.3120          | 0.7883              | 0.9136                    | 1     |
 
 
 ### Framework versions

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