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