Training in progress epoch 0

README.md

@@ -14,11 +14,11 @@ 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: 0.2786
-- Train Accuracy: 0.9260
+- Train Loss: 0.2761
+- Train Accuracy: 0.9210
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.0846
-- Validation Accuracy: 0.9883
+- Validation Loss: 0.0867
+- Validation Accuracy: 0.9866
 - Validation Top-3-accuracy: 1.0
 - Epoch: 0
 
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
 
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
-| 0.2786     | 0.9260         | 1.0                  | 0.0846          | 0.9883              | 1.0                       | 0     |
+| 0.2761     | 0.9210         | 1.0                  | 0.0867          | 0.9866              | 1.0                       | 0     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1689359329.53e3470a3316.10083.0.v2

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logs/validation/events.out.tfevents.1689359616.53e3470a3316.10083.1.v2

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tf_model.h5

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