update model card README.md

README.md

@@ -29,9 +29,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # swin-tiny-patch4-window7-224-finetuned-vosap
 
-This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
+This model is a fine-tuned version of [RohanK447/swin-tiny-patch4-window7-224-finetuned-vosap](https://huggingface.co/RohanK447/swin-tiny-patch4-window7-224-finetuned-vosap) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5404
+- Loss: 0.3054
 - Accuracy: 1.0
 
 ## Model description
@@ -60,15 +60,22 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.5402          | 0.75     |
-| No log        | 2.0   | 2    | 0.5329          | 0.75     |
-| No log        | 3.0   | 3    | 0.5404          | 1.0      |
+| No log        | 1.0   | 1    | 0.5404          | 1.0      |
+| No log        | 2.0   | 2    | 0.4876          | 1.0      |
+| No log        | 3.0   | 3    | 0.4456          | 1.0      |
+| No log        | 4.0   | 4    | 0.4172          | 1.0      |
+| No log        | 5.0   | 5    | 0.3770          | 1.0      |
+| No log        | 6.0   | 6    | 0.3443          | 1.0      |
+| No log        | 7.0   | 7    | 0.3226          | 1.0      |
+| No log        | 8.0   | 8    | 0.3133          | 1.0      |
+| No log        | 9.0   | 9    | 0.3082          | 1.0      |
+| 0.2039        | 10.0  | 10   | 0.3054          | 1.0      |
 
 
 ### Framework versions