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vit-beans-classifier

Image Classification

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afford6522 commited on Nov 28, 2025

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@@ -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](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0561
-- Accuracy: 0.9774
 ## Model description
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 65   | 0.1699          | 0.9398   |
-| No log        | 2.0   | 130  | 0.1061          | 0.9474   |
-| No log        | 3.0   | 195  | 0.0831          | 0.9624   |
-| No log        | 4.0   | 260  | 0.0597          | 0.9699   |
-| No log        | 5.0   | 325  | 0.0561          | 0.9774   |
 ### Framework versions

 This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.0349
+- Accuracy: 0.9850
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 65   | 0.1429          | 0.9624   |
+| No log        | 2.0   | 130  | 0.0579          | 0.9850   |
+| No log        | 3.0   | 195  | 0.0418          | 0.9850   |
+| No log        | 4.0   | 260  | 0.0361          | 0.9850   |
+| No log        | 5.0   | 325  | 0.0349          | 0.9850   |
 ### Framework versions