Model save

README.md

@@ -18,8 +18,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1501
-- Accuracy: 0.9393
+- Loss: 0.2481
+- Accuracy: 0.8912
 
 ## Model description
 
@@ -47,17 +47,14 @@ 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: 5
+- num_epochs: 2
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.3439        | 0.9778 | 33   | 0.2345          | 0.8996   |
-| 0.1913        | 1.9852 | 67   | 0.3491          | 0.8473   |
-| 0.1314        | 2.9926 | 101  | 0.1814          | 0.9289   |
-| 0.0899        | 4.0    | 135  | 0.1740          | 0.9289   |
-| 0.0916        | 4.8889 | 165  | 0.1501          | 0.9393   |
+| 0.2778        | 0.9778 | 33   | 0.2393          | 0.8954   |
+| 0.1727        | 1.9556 | 66   | 0.2481          | 0.8912   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1947b5500aedb4093ca466a09a8441203e96298785aa3a3a54d77f33730a3abb
+oid sha256:dadc0dabfd099ab07f69dc5d98da04ee4ad36e3558c207cee88a9cdccf5947a3
 size 110342832