Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9052287581699346
+      value: 0.9019607843137255
 ---
 
 <!-- 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: 0.2379
-- Accuracy: 0.9052
+- Loss: 0.2269
+- Accuracy: 0.9020
 
 ## Model description
 
@@ -61,15 +61,16 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6926        | 0.93  | 10   | 0.3021          | 0.8758   |
-| 0.2563        | 1.95  | 21   | 0.2384          | 0.8954   |
-| 0.219         | 2.79  | 30   | 0.2379          | 0.9052   |
+| 0.207         | 0.93  | 10   | 0.2288          | 0.9052   |
+| 0.1873        | 1.95  | 21   | 0.2419          | 0.8954   |
+| 0.1808        | 2.98  | 32   | 0.2322          | 0.9052   |
+| 0.1632        | 3.72  | 40   | 0.2269          | 0.9020   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0814e88948af238d9014aca829c8c873e4f7afd756e83477836776d5da2145cc
+oid sha256:a986767ecbcde53be1acba4713e9ab7b084cd8b4647507e57d76e20e284868a2
 size 110345908