Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.73
+      value: 0.7366666666666667
 ---
 
 <!-- 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: 0.5407
-- Accuracy: 0.73
+- Loss: 0.5300
+- Accuracy: 0.7367
 
 ## Model description
 
@@ -61,15 +61,19 @@ 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: 7
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 0.5740          | 0.7333   |
-| 0.6033        | 2.0   | 16   | 0.5640          | 0.7333   |
-| 0.5751        | 3.0   | 24   | 0.5568          | 0.7375   |
+| No log        | 1.0   | 8    | 0.5816          | 0.7333   |
+| 0.6478        | 2.0   | 16   | 0.5634          | 0.7333   |
+| 0.5746        | 3.0   | 24   | 0.5526          | 0.7375   |
+| 0.5414        | 4.0   | 32   | 0.6044          | 0.7333   |
+| 0.5159        | 5.0   | 40   | 0.5310          | 0.7542   |
+| 0.5159        | 6.0   | 48   | 0.5481          | 0.7583   |
+| 0.4901        | 7.0   | 56   | 0.5410          | 0.7583   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:cac8a5b27c54601914a1d7849e75bfe5c56ee04933b82f2889ea3cb58ba4c8d7
 size 110394865