Training in progress epoch 2

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: 0.0583
-- Train Accuracy: 0.9898
+- Train Loss: 0.0225
+- Train Accuracy: 0.9974
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0558
-- Validation Accuracy: 0.9877
+- Validation Loss: 0.0312
+- Validation Accuracy: 0.9945
 - Validation Top-3-accuracy: 1.0
-- Epoch: 1
+- Epoch: 2
 
 ## Model description
 
@@ -49,6 +49,7 @@ The following hyperparameters were used during training:
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.3153     | 0.9166         | 0.9916               | 0.1097          | 0.9757              | 1.0                       | 0     |
 | 0.0583     | 0.9898         | 1.0                  | 0.0558          | 0.9877              | 1.0                       | 1     |
+| 0.0225     | 0.9974         | 1.0                  | 0.0312          | 0.9945              | 1.0                       | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1700233125.1649a5dcdb0e.73010.0.v2

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tf_model.h5

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