Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7333333333333333
+      value: 0.7291666666666666
 ---
 
 <!-- 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: 0.5714
-- Accuracy: 0.7333
+- Loss: 0.5844
+- Accuracy: 0.7292
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 0.5908          | 0.7333   |
-| 0.652         | 2.0   | 16   | 0.5776          | 0.7333   |
-| 0.599         | 3.0   | 24   | 0.5714          | 0.7333   |
+| No log        | 1.0   | 8    | 0.6175          | 0.7333   |
+| 0.6122        | 2.0   | 16   | 0.5788          | 0.7333   |
+| 0.5704        | 3.0   | 24   | 0.5844          | 0.7292   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:76786bac8c0f114c3e5cab93fc2becef4de728d59ea05c66ec7e04b0a859be14
+oid sha256:61f7de305ec77bce66e472e3ee95dc0c8ee5195c0f5732c297a2e6a777d90601
 size 110394865