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: 3.8889
-- Train Accuracy: 0.0401
-- Train Top-3-accuracy: 0.0971
-- Validation Loss: 3.8524
-- Validation Accuracy: 0.0501
-- Validation Top-3-accuracy: 0.1577
-- Epoch: 0
+- Train Loss: 2.9065
+- Train Accuracy: 0.6173
+- Train Top-3-accuracy: 0.8384
+- Validation Loss: 3.0602
+- Validation Accuracy: 0.4255
+- Validation Top-3-accuracy: 0.6884
+- Epoch: 10
 
 ## Model description
 
@@ -47,6 +47,16 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 3.8889     | 0.0401         | 0.0971               | 3.8524          | 0.0501              | 0.1577                    | 0     |
+| 3.7785     | 0.1516         | 0.3210               | 3.7267          | 0.1464              | 0.3392                    | 1     |
+| 3.6188     | 0.2656         | 0.4854               | 3.5946          | 0.2115              | 0.4143                    | 2     |
+| 3.4631     | 0.3276         | 0.5860               | 3.4570          | 0.2728              | 0.5232                    | 3     |
+| 3.3386     | 0.3959         | 0.6599               | 3.3664          | 0.3091              | 0.5757                    | 4     |
+| 3.2366     | 0.4500         | 0.7094               | 3.2844          | 0.3342              | 0.5895                    | 5     |
+| 3.1510     | 0.4879         | 0.7526               | 3.2364          | 0.3442              | 0.6170                    | 6     |
+| 3.0757     | 0.5246         | 0.7823               | 3.1752          | 0.3830              | 0.6508                    | 7     |
+| 3.0107     | 0.5612         | 0.8058               | 3.1281          | 0.4043              | 0.6596                    | 8     |
+| 2.9549     | 0.5894         | 0.8212               | 3.0903          | 0.4255              | 0.6834                    | 9     |
+| 2.9065     | 0.6173         | 0.8384               | 3.0602          | 0.4255              | 0.6884                    | 10    |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1662566554.eebb8d77cddf.70.0.v2

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tf_model.h5

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