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-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: 3.8488
-- Train Accuracy: 0.0720
-- Train Top-3-accuracy: 0.1713
-- Validation Loss: 3.7116
-- Validation Accuracy: 0.1564
-- Validation Top-3-accuracy: 0.3617
-- Epoch: 0
+- Train Loss: 2.9892
+- Train Accuracy: 0.5568
+- Train Top-3-accuracy: 0.8130
+- Validation Loss: 3.0923
+- Validation Accuracy: 0.4280
+- Validation Top-3-accuracy: 0.7034
+- Epoch: 4
 
 ## Model description
 
@@ -47,6 +47,10 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 3.8488     | 0.0720         | 0.1713               | 3.7116          | 0.1564              | 0.3617                    | 0     |
+| 3.5246     | 0.2703         | 0.4898               | 3.4122          | 0.3217              | 0.5732                    | 1     |
+| 3.2493     | 0.4150         | 0.6827               | 3.2232          | 0.3880              | 0.6633                    | 2     |
+| 3.0840     | 0.5002         | 0.7670               | 3.1275          | 0.4255              | 0.6921                    | 3     |
+| 2.9892     | 0.5568         | 0.8130               | 3.0923          | 0.4280              | 0.7034                    | 4     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662377027.d08d042d4ed2.359.0.v2

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tf_model.h5

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