amanvip2
/

finetuned-breast_cancer_images

Image Classification

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amanvip2 commited on May 13

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update model card README.md

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@@ -16,8 +16,8 @@ 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: 0.3482
-- Accuracy: 0.8776
 ## Model description
@@ -48,9 +48,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5578        | 1.19  | 100  | 0.3929          | 0.8776   |
-| 0.5322        | 2.38  | 200  | 0.3074          | 0.8987   |
-| 0.458         | 3.57  | 300  | 0.3482          | 0.8776   |
 ### Framework versions

 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: 0.3074
+- Accuracy: 0.8987
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.4716        | 1.19  | 100  | 0.3074          | 0.8987   |
+| 0.5523        | 2.38  | 200  | 0.3074          | 0.8987   |
+| 0.4472        | 3.57  | 300  | 0.3074          | 0.8987   |
 ### Framework versions