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: 1.0377
-- Train Accuracy: 0.8622
-- Train Top-3-accuracy: 0.9576
-- Validation Loss: 0.9078
-- Validation Accuracy: 0.8661
-- Validation Top-3-accuracy: 0.9611
-- Epoch: 2
+- Train Loss: 0.6816
+- Train Accuracy: 0.9511
+- Train Top-3-accuracy: 0.9859
+- Validation Loss: 0.6497
+- Validation Accuracy: 0.9222
+- Validation Top-3-accuracy: 0.9849
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 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     |
 | 1.0377     | 0.8622         | 0.9576               | 0.9078          | 0.8661              | 0.9611                    | 2     |
+| 0.6816     | 0.9511         | 0.9859               | 0.6497          | 0.9222              | 0.9849                    | 3     |
 
 
 ### Framework versions

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