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: 2.2825
-- Validation Loss: 2.2431
-- Train Accuracy: 0.975
+- Train Loss: 1.0895
+- Validation Loss: 1.1136
+- Train Accuracy: 0.9938
 - Epoch: 4
 
 ## Model description
@@ -44,11 +44,11 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
-| 4.1953     | 3.9579          | 0.6562         | 0     |
-| 3.6362     | 3.4187          | 0.925          | 1     |
-| 3.1017     | 2.9427          | 0.9625         | 2     |
-| 2.6561     | 2.5775          | 0.9688         | 3     |
-| 2.2825     | 2.2431          | 0.975          | 4     |
+| 1.9763     | 1.9595          | 1.0            | 0     |
+| 1.7042     | 1.7030          | 0.9938         | 1     |
+| 1.4680     | 1.4819          | 0.9938         | 2     |
+| 1.2665     | 1.2830          | 0.9938         | 3     |
+| 1.0895     | 1.1136          | 0.9938         | 4     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8bcb0be5c078d818d2085cd3ef225fe498679fc4861d82aa543db711be6bfccd
+oid sha256:71c2fcf4dfee562cacb6514c2433f330e35040f6d5431dc90b244a4639380351
 size 343725752