Training in progress epoch 1

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: 0.4890
-- Train Accuracy: 0.9378
+- Train Loss: 0.1536
+- Train Accuracy: 0.9803
 - Train Top-3-accuracy: 1.0
-- Validation Loss: 0.1937
+- Validation Loss: 0.1509
 - Validation Accuracy: 0.9733
 - Validation Top-3-accuracy: 1.0
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -48,6 +48,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 0.4890     | 0.9378         | 1.0                  | 0.1937          | 0.9733              | 1.0                       | 0     |
+| 0.1536     | 0.9803         | 1.0                  | 0.1509          | 0.9733              | 1.0                       | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1701040821.2f60df693ac5.21505.1.v2

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tf_model.h5

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