Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ 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: 0.2926
-- Train Accuracy: 0.9548
-- Train Top-3-accuracy: 0.9928
-- Validation Loss: 0.0623
-- Validation Accuracy: 0.9973
+- Train Loss: 0.0429
+- Train Accuracy: 0.9984
+- Train Top-3-accuracy: 1.0
+- Validation Loss: 0.0896
+- Validation Accuracy: 0.9765
 - Validation Top-3-accuracy: 1.0
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.2926     | 0.9548         | 0.9928               | 0.0623          | 0.9973              | 1.0                       | 0     |
+| 0.0429     | 0.9984         | 1.0                  | 0.0896          | 0.9765              | 1.0                       | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1680836848.2a6883624ba2.24534.0.v2

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logs/validation/events.out.tfevents.1680837463.2a6883624ba2.24534.1.v2

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tf_model.h5

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