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: 0.0252
-- Train Accuracy: 0.9980
+- Train Loss: 0.0146
+- Train Accuracy: 0.9992
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0314
-- Validation Accuracy: 0.9945
+- Validation Loss: 0.0260
+- Validation Accuracy: 0.9948
 - Validation Top-3-accuracy: 1.0
-- Epoch: 2
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 0.3365     | 0.9206         | 0.9902               | 0.1057          | 0.9809              | 1.0                       | 0     |
 | 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     |
 
 
 ### Framework versions

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

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tf_model.h5

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