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: 0.0643
-- Accuracy: 0.9864
+- Loss: 0.0824
+- Accuracy: 0.9783
 
 ## Model description
 
@@ -51,11 +51,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.3988        | 0.7634 | 100  | 0.3312          | 0.9457   |
-| 0.1719        | 1.5267 | 200  | 0.1810          | 0.9620   |
-| 0.0527        | 2.2901 | 300  | 0.1292          | 0.9647   |
-| 0.0559        | 3.0534 | 400  | 0.0772          | 0.9810   |
-| 0.0413        | 3.8168 | 500  | 0.0643          | 0.9864   |
+| 0.4914        | 0.7634 | 100  | 0.3797          | 0.9130   |
+| 0.0893        | 1.5267 | 200  | 0.1777          | 0.9565   |
+| 0.0733        | 2.2901 | 300  | 0.1245          | 0.9620   |
+| 0.0384        | 3.0534 | 400  | 0.1020          | 0.9701   |
+| 0.0189        | 3.8168 | 500  | 0.0824          | 0.9783   |
 
 
 ### Framework versions

model.safetensors

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runs/May22_12-46-10_ef8175b0da48/events.out.tfevents.1747918210.ef8175b0da48.11741.0

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training_args.bin

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