Training in progress epoch 5

README.md

@@ -15,11 +15,11 @@ 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: 0.3274
-- Train Accuracy: 0.8778
-- Validation Loss: 0.6869
-- Validation Accuracy: 0.6832
-- Epoch: 4
+- Train Loss: 0.3261
+- Train Accuracy: 0.8792
+- Validation Loss: 0.6880
+- Validation Accuracy: 0.6859
+- Epoch: 5
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.3578     | 0.8632         | 0.6998          | 0.6789              | 2     |
 | 0.3377     | 0.8713         | 0.6899          | 0.6843              | 3     |
 | 0.3274     | 0.8778         | 0.6869          | 0.6832              | 4     |
+| 0.3261     | 0.8792         | 0.6880          | 0.6859              | 5     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701546466.49fb5efe728d.314.1.v2

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tf_model.h5

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