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-large-patch16-224-in21k](https://huggingface.co/google/vit-large-patch16-224-in21k) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2801
-- Accuracy: 0.9375
+- Loss: 0.1464
+- Accuracy: 0.9792
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 6    | 1.1103          | 0.6667   |
-| 1.4249        | 2.0   | 13   | 0.5429          | 0.875    |
-| 1.4249        | 2.92  | 19   | 0.3529          | 0.9167   |
-| 0.3823        | 4.0   | 26   | 0.2861          | 0.9375   |
-| 0.1072        | 4.62  | 30   | 0.2801          | 0.9375   |
+| No log        | 0.92  | 6    | 0.2647          | 0.9167   |
+| 0.0527        | 2.0   | 13   | 0.1843          | 0.9792   |
+| 0.0527        | 2.92  | 19   | 0.1604          | 0.9792   |
+| 0.0138        | 4.0   | 26   | 0.1480          | 0.9792   |
+| 0.0074        | 4.62  | 30   | 0.1464          | 0.9792   |
 
 
 ### Framework versions

model.safetensors

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 size 1213285872

runs/Apr13_14-56-47_b2eafe1b591d/events.out.tfevents.1713020868.b2eafe1b591d.517.1

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