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: 1.6278
-- Accuracy: 0.89
+- Loss: 1.6332
+- Accuracy: 0.87
 
 ## Model description
 
@@ -52,9 +52,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.7227        | 0.99  | 62   | 2.5213          | 0.835    |
-| 1.7849        | 2.0   | 125  | 1.7711          | 0.896    |
-| 1.582         | 2.98  | 186  | 1.6278          | 0.89     |
+| 2.6598        | 0.99  | 62   | 2.5169          | 0.791    |
+| 1.7918        | 2.0   | 125  | 1.7823          | 0.873    |
+| 1.5743        | 2.98  | 186  | 1.6332          | 0.87     |
 
 
 ### Framework versions

model.safetensors

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 size 343528508

runs/Apr05_09-15-28_12fa1e1543b9/events.out.tfevents.1712308529.12fa1e1543b9.4681.0

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