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: 0.7469
-- Accuracy: 0.8243
+- Loss: 0.5880
+- Accuracy: 0.8403
 
 ## Model description
 
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 1.9619        | 1.0   | 1094  | 2.2253          | 0.6385   |
-| 1.4592        | 2.0   | 2189  | 1.7699          | 0.6785   |
-| 1.0298        | 3.0   | 3283  | 1.4052          | 0.7345   |
-| 0.9172        | 4.0   | 4378  | 1.2115          | 0.7573   |
-| 0.7117        | 5.0   | 5472  | 1.0211          | 0.7860   |
-| 0.6656        | 6.0   | 6567  | 0.9507          | 0.7913   |
-| 0.5471        | 7.0   | 7661  | 0.8693          | 0.8027   |
-| 0.4662        | 8.0   | 8756  | 0.8293          | 0.8113   |
-| 0.4001        | 9.0   | 9850  | 0.7773          | 0.8179   |
-| 0.4296        | 10.0  | 10940 | 0.7469          | 0.8243   |
+| 0.3837        | 1.0   | 1094  | 0.9024          | 0.7864   |
+| 0.3265        | 2.0   | 2189  | 0.8589          | 0.7840   |
+| 0.2869        | 3.0   | 3283  | 0.8385          | 0.7898   |
+| 0.2642        | 4.0   | 4378  | 0.8290          | 0.7913   |
+| 0.2136        | 5.0   | 5472  | 0.7269          | 0.8107   |
+| 0.2273        | 6.0   | 6567  | 0.6998          | 0.8176   |
+| 0.2397        | 7.0   | 7661  | 0.6760          | 0.8218   |
+| 0.1888        | 8.0   | 8756  | 0.6562          | 0.8259   |
+| 0.1783        | 9.0   | 9850  | 0.6174          | 0.8331   |
+| 0.237         | 10.0  | 10940 | 0.5880          | 0.8403   |
 
 
 ### Framework versions