mmanikanta
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VIT_AI_image_detector

Image Classification

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mmanikanta commited on Apr 20, 2024

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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: 0.0278
-- Accuracy: 0.9931
 ## Model description
@@ -51,21 +51,21 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.1943        | 1.0   | 1406  | 0.0682          | 0.9757   |
-| 0.1288        | 2.0   | 2812  | 0.0423          | 0.9852   |
-| 0.0952        | 3.0   | 4218  | 0.0393          | 0.9866   |
-| 0.0743        | 4.0   | 5625  | 0.0410          | 0.9866   |
-| 0.0587        | 5.0   | 7031  | 0.0332          | 0.9889   |
-| 0.0493        | 6.0   | 8437  | 0.0253          | 0.9919   |
-| 0.06          | 7.0   | 9843  | 0.0279          | 0.9922   |
-| 0.0738        | 8.0   | 11250 | 0.0326          | 0.9907   |
-| 0.065         | 9.0   | 12656 | 0.0278          | 0.9931   |
-| 0.045         | 10.0  | 14060 | 0.0279          | 0.9928   |
 ### Framework versions
 - Transformers 4.30.0
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
 - Tokenizers 0.13.3

 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: 0.0313
+- Accuracy: 0.9917
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.1686        | 1.0   | 1093  | 0.0843          | 0.9697   |
+| 0.1195        | 2.0   | 2187  | 0.0731          | 0.9728   |
+| 0.072         | 3.0   | 3281  | 0.0543          | 0.9803   |
+| 0.1072        | 4.0   | 4375  | 0.0348          | 0.9884   |
+| 0.079         | 5.0   | 5468  | 0.0342          | 0.9886   |
+| 0.0681        | 6.0   | 6562  | 0.0317          | 0.9903   |
+| 0.0513        | 7.0   | 7656  | 0.0304          | 0.9914   |
+| 0.0518        | 8.0   | 8750  | 0.0293          | 0.9916   |
+| 0.0674        | 9.0   | 9843  | 0.0295          | 0.9924   |
+| 0.058         | 9.99  | 10930 | 0.0313          | 0.9917   |
 ### Framework versions
 - Transformers 4.30.0
 - Pytorch 2.2.1+cu121
+- Datasets 2.19.0
 - Tokenizers 0.13.3