Model save

README.md

@@ -22,7 +22,7 @@ model-index:
  metrics:
  - name: Accuracy
  type: accuracy
- value: 0.7333333333333333
+ value: 0.7291666666666666
 ---
 
 <!-- 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: 0.5714
-- Accuracy: 0.7333
+- Loss: 0.5844
+- Accuracy: 0.7292
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log | 1.0 | 8 | 0.5908 | 0.7333 |
-| 0.652 | 2.0 | 16 | 0.5776 | 0.7333 |
-| 0.599 | 3.0 | 24 | 0.5714 | 0.7333 |
+| No log | 1.0 | 8 | 0.6175 | 0.7333 |
+| 0.6122 | 2.0 | 16 | 0.5788 | 0.7333 |
+| 0.5704 | 3.0 | 24 | 0.5844 | 0.7292 |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:61f7de305ec77bce66e472e3ee95dc0c8ee5195c0f5732c297a2e6a777d90601
 size 110394865