Training in progress epoch 4

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: 0.2566
-- Train Accuracy: 0.9449
-- Train Top-3-accuracy: 0.9892
-- Validation Loss: 0.7212
-- Validation Accuracy: 0.7860
-- Validation Top-3-accuracy: 0.9451
-- Epoch: 3
+- Train Loss: 0.1749
+- Train Accuracy: 0.9686
+- Train Top-3-accuracy: 0.9922
+- Validation Loss: 0.7294
+- Validation Accuracy: 0.7906
+- Validation Top-3-accuracy: 0.9437
+- Epoch: 4
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.6745     | 0.8197         | 0.9615               | 0.7492          | 0.7790              | 0.9427                    | 1     |
 | 0.4135     | 0.8942         | 0.9814               | 0.7119          | 0.7848              | 0.9475                    | 2     |
 | 0.2566     | 0.9449         | 0.9892               | 0.7212          | 0.7860              | 0.9451                    | 3     |
+| 0.1749     | 0.9686         | 0.9922               | 0.7294          | 0.7906              | 0.9437                    | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1684085132.adrian-development.12522.0.v2

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tf_model.h5

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