Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9607843137254902
+      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: 0.1465
-- Accuracy: 0.9608
+- Loss: 0.0170
+- Accuracy: 1.0
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.8   | 3    | 0.1465          | 0.9608   |
-| No log        | 1.87  | 7    | 0.0517          | 0.9608   |
-| No log        | 2.4   | 9    | 0.0462          | 0.9608   |
+| No log        | 0.8   | 3    | 0.1346          | 1.0      |
+| No log        | 1.87  | 7    | 0.0209          | 1.0      |
+| No log        | 2.4   | 9    | 0.0170          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6a89d388b1f36014c8b2a3ecd49b45311f42978c85ab4cbe294cb181e9d0a9d6
+oid sha256:134c4448cdbd5a619338eedc469de42dc2b54b7164e4867e4649de3a882235f3
 size 110342832