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: 0.0355
-- Accuracy: 0.9850
+- Loss: 0.0344
+- Accuracy: 0.9925
 
 ## Model description
 
@@ -38,21 +38,21 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_ratio: 0.2
 - num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 0.1031        | 1.5385 | 100  | 0.0403          | 0.9850   |
-| 0.059         | 3.0769 | 200  | 0.0355          | 0.9850   |
+| 0.0079        | 1.5385 | 100  | 0.0353          | 0.9925   |
+| 0.0079        | 3.0769 | 200  | 0.0344          | 0.9925   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:214e01cbdced8244ee166ed044d1f509d741694b130ec2e2e54d5ffc866381cf
+oid sha256:e23293bf56455be1847dd5c38cb8464ea5f9d1b9fa092eb8f7603cee6c277ead
 size 110345908