End of training

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](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 4.6733
-- Train Accuracy: 0.0106
-- Train Top-3-accuracy: 0.0335
-- Validation Loss: 4.5751
-- Validation Accuracy: 0.0196
-- Validation Top-3-accuracy: 0.0464
-- Epoch: 0
+- Train Loss: 4.3094
+- Train Accuracy: 0.0226
+- Train Top-3-accuracy: 0.0668
+- Validation Loss: 4.4393
+- Validation Accuracy: 0.0226
+- Validation Top-3-accuracy: 0.0660
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 4.6733     | 0.0106         | 0.0335               | 4.5751          | 0.0196              | 0.0464                    | 0     |
+| 4.4185     | 0.0219         | 0.0647               | 4.3134          | 0.0242              | 0.0614                    | 1     |
+| 4.3094     | 0.0226         | 0.0668               | 4.4393          | 0.0226              | 0.0660                    | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662824115.c6cc2fa81cae.76.2.v2

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tf_model.h5

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