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: 4.5039
-- Train Accuracy: 0.0202
-- Train Top-3-accuracy: 0.0553
-- Validation Loss: 4.2793
-- Validation Accuracy: 0.0338
-- Validation Top-3-accuracy: 0.0915
-- Epoch: 0
+- Train Loss: 0.1732
+- Train Accuracy: 0.9937
+- Train Top-3-accuracy: 0.9989
+- Validation Loss: 3.0706
+- Validation Accuracy: 0.2574
+- Validation Top-3-accuracy: 0.4676
+- Epoch: 9
 
 ## Model description
 
@@ -47,6 +47,15 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 4.5039     | 0.0202         | 0.0553               | 4.2793          | 0.0338              | 0.0915                    | 0     |
+| 4.1594     | 0.0358         | 0.1021               | 4.0697          | 0.0468              | 0.1475                    | 1     |
+| 3.8935     | 0.0713         | 0.1752               | 3.8171          | 0.0915              | 0.2106                    | 2     |
+| 3.4793     | 0.1286         | 0.2882               | 3.3657          | 0.1429              | 0.3109                    | 3     |
+| 2.9441     | 0.2044         | 0.4216               | 3.0881          | 0.1805              | 0.3845                    | 4     |
+| 2.4544     | 0.3106         | 0.5588               | 2.9695          | 0.2206              | 0.4350                    | 5     |
+| 1.8994     | 0.4614         | 0.7073               | 2.9141          | 0.2311              | 0.4450                    | 6     |
+| 1.2352     | 0.6731         | 0.8710               | 2.9199          | 0.2545              | 0.4697                    | 7     |
+| 0.5456     | 0.8977         | 0.9799               | 2.9824          | 0.2628              | 0.4768                    | 8     |
+| 0.1732     | 0.9937         | 0.9989               | 3.0706          | 0.2574              | 0.4676                    | 9     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662806625.c6cc2fa81cae.76.0.v2

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tf_model.h5

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