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: 1.5730
-- Train Accuracy: 0.6754
-- Train Top-3-accuracy: 0.8675
-- Validation Loss: 1.2849
-- Validation Accuracy: 0.7819
-- Validation Top-3-accuracy: 0.8985
-- Epoch: 1
+- Train Loss: 1.0534
+- Train Accuracy: 0.8435
+- Train Top-3-accuracy: 0.9523
+- Validation Loss: 0.9144
+- Validation Accuracy: 0.8575
+- Validation Top-3-accuracy: 0.9633
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.2788     | 0.3994         | 0.6247               | 1.8528          | 0.5961              | 0.8143                    | 0     |
 | 1.5730     | 0.6754         | 0.8675               | 1.2849          | 0.7819              | 0.8985                    | 1     |
+| 1.0534     | 0.8435         | 0.9523               | 0.9144          | 0.8575              | 0.9633                    | 2     |
 
 
 ### Framework versions

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