Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8571428571428571
+      value: 0.9025974025974026
 ---
 
 <!-- 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: 0.3492
-- Accuracy: 0.8571
+- Loss: 0.2118
+- Accuracy: 0.9026
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 5    | 0.4899          | 0.7857   |
-| 0.4907        | 2.0   | 10   | 0.3492          | 0.8571   |
-| 0.4907        | 3.0   | 15   | 0.3493          | 0.8571   |
+| No log        | 1.0   | 5    | 0.2907          | 0.8896   |
+| 0.2113        | 2.0   | 10   | 0.2303          | 0.9091   |
+| 0.2113        | 3.0   | 15   | 0.2118          | 0.9026   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2ef8ba4aeadb889e8327bdf376a30f4d2db716b226806414fa68f9152344ec5e
+oid sha256:1a960de882e9f60ac54bd159de433f6286cab5c42d131ed7661a2457da17d3e9
 size 110342832