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: 1.0494
-- Train Accuracy: 0.8694
-- Train Top-3-accuracy: 0.9519
-- Validation Loss: 0.9507
-- Validation Accuracy: 0.8855
-- Validation Top-3-accuracy: 0.9590
-- Epoch: 2
+- Train Loss: 0.7408
+- Train Accuracy: 0.9381
+- Train Top-3-accuracy: 0.9824
+- Validation Loss: 0.7499
+- Validation Accuracy: 0.9114
+- Validation Top-3-accuracy: 0.9806
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 2.2199     | 0.4215         | 0.6564               | 1.8634          | 0.5702              | 0.8099                    | 0     |
 | 1.5448     | 0.6976         | 0.8797               | 1.3110          | 0.7603              | 0.9028                    | 1     |
 | 1.0494     | 0.8694         | 0.9519               | 0.9507          | 0.8855              | 0.9590                    | 2     |
+| 0.7408     | 0.9381         | 0.9824               | 0.7499          | 0.9114              | 0.9806                    | 3     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699634709.ccc1bc92f64c.114159.1.v2

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tf_model.h5

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