End of training

README.md

@@ -15,9 +15,9 @@ 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: 0.1867
-- Validation Loss: 2.0372
-- Train Accuracy: 0.4437
+- Train Loss: 0.1912
+- Validation Loss: 1.9964
+- Train Accuracy: 0.525
 - Epoch: 4
 
 ## Model description
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 0.2056     | 2.1272          | 0.425          | 0     |
-| 0.2375     | 1.7537          | 0.5375         | 1     |
-| 0.1793     | 2.0755          | 0.4562         | 2     |
-| 0.1725     | 2.2938          | 0.4062         | 3     |
-| 0.1867     | 2.0372          | 0.4437         | 4     |
+| 0.1689     | 1.9376          | 0.4938         | 0     |
+| 0.1400     | 2.4030          | 0.3812         | 1     |
+| 0.2878     | 1.7940          | 0.4625         | 2     |
+| 0.2105     | 2.0709          | 0.475          | 3     |
+| 0.1912     | 1.9964          | 0.525          | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5f571db111e80d99d3762232d72eeac00af620e288082e2094e264288e0e07dc
 size 343504568