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 [microsoft/beit-large-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-large-patch16-224-pt22k-ft22k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5207
-- Accuracy: 0.8532
+- Loss: 0.6235
+- Accuracy: 0.8521
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5827        | 1.0   | 57   | 0.6796          | 0.7662   |
-| 0.1992        | 2.0   | 114  | 0.6052          | 0.8131   |
-| 0.0482        | 3.0   | 171  | 0.5379          | 0.8329   |
-| 0.0101        | 4.0   | 228  | 0.5202          | 0.8515   |
-| 0.002         | 5.0   | 285  | 0.5207          | 0.8532   |
+| 0.0299        | 1.0   | 57   | 0.8461          | 0.7798   |
+| 0.0202        | 2.0   | 114  | 0.7776          | 0.8137   |
+| 0.0148        | 3.0   | 171  | 0.7231          | 0.8120   |
+| 0.004         | 4.0   | 228  | 0.6273          | 0.8481   |
+| 0.0004        | 5.0   | 285  | 0.6235          | 0.8521   |
 
 
 ### Framework versions