Training in progress epoch 4

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: 0.0146
-- Train Accuracy: 0.9992
+- Train Loss: 0.0109
+- Train Accuracy: 0.9997
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0260
+- Validation Loss: 0.0242
 - Validation Accuracy: 0.9948
 - Validation Top-3-accuracy: 1.0
-- Epoch: 3
+- Epoch: 4
 
 ## Model description
 
@@ -51,6 +51,7 @@ The following hyperparameters were used during training:
 | 0.0657     | 0.9891         | 0.9999               | 0.0509          | 0.9902              | 1.0                       | 1     |
 | 0.0252     | 0.9980         | 1.0                  | 0.0314          | 0.9945              | 1.0                       | 2     |
 | 0.0146     | 0.9992         | 1.0                  | 0.0260          | 0.9948              | 1.0                       | 3     |
+| 0.0109     | 0.9997         | 1.0                  | 0.0242          | 0.9948              | 1.0                       | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1699787559.57f515b99cef.262.0.v2

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logs/validation/events.out.tfevents.1699791721.57f515b99cef.262.1.v2

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tf_model.h5

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