Model save

README.md

@@ -24,13 +24,13 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9846256684491979
+      value: 0.6343582887700535
     - name: Precision
       type: precision
-      value: 0.9850123826857227
+      value: 0.7715676584335054
     - name: Recall
       type: recall
-      value: 0.9846256684491979
+      value: 0.6343582887700535
 ---
 
 <!-- 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: 0.0532
-- Accuracy: 0.9846
-- Precision: 0.9850
-- Recall: 0.9846
-- Confusion Matrix: [[1468, 44], [2, 1478]]
+- Loss: 3.3036
+- Accuracy: 0.6344
+- Precision: 0.7716
+- Recall: 0.6344
+- Confusion Matrix: [[1498, 14], [1080, 400]]
 
 ## 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         |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------------------------:|
-| 0.0527        | 1.0   | 374  | 0.0383          | 0.9880   | 0.9880    | 0.9880 | [[1487, 25], [11, 1469]] |
-| 0.0514        | 2.0   | 748  | 0.0357          | 0.9866   | 0.9869    | 0.9866 | [[1474, 38], [2, 1478]]  |
-| 0.0678        | 3.0   | 1122 | 0.0532          | 0.9846   | 0.9850    | 0.9846 | [[1468, 44], [2, 1478]]  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | Confusion Matrix          |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-------------------------:|
+| 0.1263        | 1.0   | 374  | 1.1458          | 0.7309   | 0.8125    | 0.7309 | [[1493, 19], [786, 694]]  |
+| 0.0301        | 2.0   | 748  | 3.0924          | 0.6330   | 0.7754    | 0.6330 | [[1502, 10], [1088, 392]] |
+| 0.0467        | 3.0   | 1122 | 3.3036          | 0.6344   | 0.7716    | 0.6344 | [[1498, 14], [1080, 400]] |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cbe9cd8655dc40af84ce158bfd1d61c21b66d19b3014f6bb7cb2ebfb0718fe96
+oid sha256:8239e1b616c434690bff74502bf96634266aaad411ac0c7478e061d77492cf47
 size 110342832