Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8824443293630243
+      value: 0.8705334023821854
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,9 +33,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3056
-- Accuracy: 0.8824
-- Auc: 0.9576
+- Loss: 0.3173
+- Accuracy: 0.8705
+- Auc: 0.9550
 
 ## Model description
 
@@ -67,15 +67,6 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Auc    |
-|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
-| 0.8134        | 0.9836 | 15   | 0.4195          | 0.8431   | 0.9251 |
-| 0.3996        | 1.9672 | 30   | 0.3682          | 0.8571   | 0.9438 |
-| 0.3693        | 2.9508 | 45   | 0.3244          | 0.8778   | 0.9530 |
-| 0.3147        | 4.0    | 61   | 0.3109          | 0.8793   | 0.9557 |
-| 0.3166        | 4.9836 | 76   | 0.3135          | 0.8804   | 0.9561 |
-| 0.2918        | 5.9672 | 91   | 0.3117          | 0.8747   | 0.9569 |
-| 0.2849        | 6.8852 | 105  | 0.3056          | 0.8824   | 0.9576 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2dd0c8d0ff96e357d9c41caad0e8741234928c240de0fbbca99280919fdc50cd
 size 347502916