Model save

README.md

@@ -18,8 +18,8 @@ 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: 0.3535
-- Accuracy: 0.9346
+- Loss: 0.3470
+- Accuracy: 0.9372
 
 ## Model description
 
@@ -51,10 +51,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1493        | 1.0   | 48   | 0.7434          | 0.8534   |
-| 0.1631        | 2.0   | 96   | 0.6245          | 0.8743   |
-| 0.0489        | 3.0   | 144  | 0.4446          | 0.9110   |
-| 0.0285        | 4.0   | 192  | 0.3535          | 0.9346   |
+| 1.1535        | 1.0   | 48   | 0.9117          | 0.9162   |
+| 0.5251        | 2.0   | 96   | 0.5480          | 0.9005   |
+| 0.3062        | 3.0   | 144  | 0.4036          | 0.9267   |
+| 0.2608        | 4.0   | 192  | 0.3470          | 0.9372   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec10_08-54-48_07ebb05cb350/events.out.tfevents.1733820902.07ebb05cb350.23.0

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training_args.bin

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