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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5205
-- Accuracy: 0.8403
+- Loss: 0.2879
+- Accuracy: 0.9152
 
 ## Model description
 
@@ -52,12 +52,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9657        | 0.97  | 16   | 1.0966          | 0.6312   |
-| 0.5619        | 2.0   | 33   | 0.7753          | 0.7376   |
-| 0.4391        | 2.97  | 49   | 0.6646          | 0.7947   |
-| 0.2506        | 4.0   | 66   | 0.5963          | 0.8099   |
-| 0.2026        | 4.97  | 82   | 0.5593          | 0.8213   |
-| 0.156         | 5.82  | 96   | 0.5205          | 0.8403   |
+| 1.3233        | 1.0   | 25   | 0.8780          | 0.7781   |
+| 0.6368        | 2.0   | 50   | 0.5324          | 0.8529   |
+| 0.4085        | 3.0   | 75   | 0.4805          | 0.8628   |
+| 0.2893        | 4.0   | 100  | 0.3767          | 0.9002   |
+| 0.2257        | 5.0   | 125  | 0.3576          | 0.8978   |
+| 0.1179        | 6.0   | 150  | 0.2879          | 0.9152   |
 
 
 ### Framework versions