Model save

README.md

@@ -24,13 +24,13 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9883021390374331
+      value: 0.9896390374331551
     - name: Precision
       type: precision
-      value: 0.9883638028735799
+      value: 0.9897531473312668
     - name: Recall
       type: recall
-      value: 0.9883021390374331
+      value: 0.9896390374331551
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -40,11 +40,11 @@ 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: 0.0363
-- Accuracy: 0.9883
-- Precision: 0.9884
-- Recall: 0.9883
-- Confusion Matrix: [[1503, 9], [26, 1454]]
+- Loss: 0.0355
+- Accuracy: 0.9896
+- Precision: 0.9898
+- Recall: 0.9896
+- Confusion Matrix: [[1508, 4], [27, 1453]]
 
 ## Model description
 
@@ -76,11 +76,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix         |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------------------------:|
-| 0.1073        | 1.0   | 374  | 0.0387          | 0.9886   | 0.9887    | 0.9886 | [[1502, 10], [24, 1456]] |
-| 0.0892        | 2.0   | 748  | 0.0311          | 0.9896   | 0.9897    | 0.9896 | [[1501, 11], [20, 1460]] |
-| 0.0071        | 3.0   | 1122 | 0.0363          | 0.9883   | 0.9884    | 0.9883 | [[1503, 9], [26, 1454]]  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix        |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----------------------:|
+| 0.0585        | 1.0   | 374  | 0.0224          | 0.9940   | 0.9940    | 0.9940 | [[1506, 6], [12, 1468]] |
+| 0.0792        | 2.0   | 748  | 0.0346          | 0.9910   | 0.9911    | 0.9910 | [[1509, 3], [24, 1456]] |
+| 0.0634        | 3.0   | 1122 | 0.0355          | 0.9896   | 0.9898    | 0.9896 | [[1508, 4], [27, 1453]] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:20ad685028d4d421a5a0992a81767038151e66e04aa56c5f0fe23169297d8c16
 size 110342832