VasundharaBoomi
/

swin-tiny-patch4-window7-224-finetuned-parkinson-classification

Image Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

VasundharaBoomi commited on Apr 4

Commit

cd0a86f

•

1 Parent(s): 970a222

Model save

Files changed (2) hide show

README.md +11 -11
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 1.0
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.4722
-- Accuracy: 1.0
 ## Model description
@@ -67,14 +67,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.6685          | 0.6364   |
-| No log        | 2.0   | 3    | 0.6030          | 0.4545   |
-| No log        | 3.0   | 5    | 0.5133          | 0.9091   |
-| No log        | 4.0   | 6    | 0.4722          | 1.0      |
-| No log        | 5.0   | 7    | 0.4335          | 1.0      |
-| No log        | 6.0   | 9    | 0.3682          | 1.0      |
-| 0.2949        | 7.0   | 11   | 0.3219          | 1.0      |
-| 0.2949        | 8.0   | 12   | 0.3146          | 1.0      |
 ### Framework versions

     metrics:
     - name: Accuracy
       type: accuracy
+      value: 0.6363636363636364
 ---
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 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.
 It achieves the following results on the evaluation set:
+- Loss: 0.5459
+- Accuracy: 0.6364
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.8913          | 0.4545   |
+| No log        | 2.0   | 3    | 0.6774          | 0.5455   |
+| No log        | 3.0   | 5    | 0.6171          | 0.5455   |
+| No log        | 4.0   | 6    | 0.5947          | 0.6364   |
+| No log        | 5.0   | 7    | 0.5711          | 0.6364   |
+| No log        | 6.0   | 9    | 0.5497          | 0.6364   |
+| 0.3258        | 7.0   | 11   | 0.5463          | 0.6364   |
+| 0.3258        | 8.0   | 12   | 0.5459          | 0.6364   |
 ### Framework versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:942b94025f31652569436b4f49672fc0e78cb98a0979fa0c11908cbcd1c28cc2
 size 110342832

 version https://git-lfs.github.com/spec/v1
+oid sha256:47b83aaf4ff14fe132833cf157b80cba66310b87cff530a9f23b3b5a3623dd43
 size 110342832