Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9781481481481481
+      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: 0.0603
-- Accuracy: 0.9781
+- Loss: 0.0047
+- Accuracy: 1.0
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2182        | 1.0   | 190  | 0.1321          | 0.9541   |
-| 0.164         | 2.0   | 380  | 0.0694          | 0.9756   |
-| 0.1476        | 3.0   | 570  | 0.0603          | 0.9781   |
+| No log        | 0.8   | 3    | 0.0737          | 1.0      |
+| No log        | 1.87  | 7    | 0.0065          | 1.0      |
+| No log        | 2.4   | 9    | 0.0047          | 1.0      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:471a46925018794529def3a0b7a649fd2659c9a54c8bcef1c13c4bd94d7f6931
+oid sha256:7d92015633f9abd419f454a2f0038c0a2bd05a9c6db722b8629d00d681673627
 size 110342832