End of training

README.md

@@ -17,8 +17,8 @@ should 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:
-- Loss: 0.0289
-- Accuracy: 0.9943
+- Loss: 0.0288
+- Accuracy: 0.9923
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.155         | 0.99  | 52   | 0.0944          | 0.9773   |
-| 0.1046        | 2.0   | 105  | 0.0554          | 0.9833   |
-| 0.0489        | 2.99  | 157  | 0.0539          | 0.9857   |
-| 0.0274        | 4.0   | 210  | 0.0424          | 0.9893   |
-| 0.0174        | 4.95  | 260  | 0.0456          | 0.9893   |
+| 0.1574        | 0.99  | 52   | 0.0976          | 0.9726   |
+| 0.0643        | 2.0   | 105  | 0.0535          | 0.9845   |
+| 0.0189        | 2.99  | 157  | 0.0490          | 0.9821   |
+| 0.0208        | 4.0   | 210  | 0.0484          | 0.9881   |
+| 0.0096        | 4.95  | 260  | 0.0463          | 0.9881   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:85b62511036f707e73695c38ec5fa471929723750b1600ab80a8abb285872c37
 size 343268717