Model save

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9036144578313253
+      value: 0.9104991394148021
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ 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: 0.2500
-- Accuracy: 0.9036
+- Loss: 0.1988
+- Accuracy: 0.9105
 
 ## Model description
 
@@ -62,15 +62,17 @@ The following hyperparameters were used during training:
 - 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
-- num_epochs: 3
+- num_epochs: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4233        | 1.0   | 41   | 0.3218          | 0.8675   |
-| 0.3203        | 2.0   | 82   | 0.2500          | 0.9036   |
-| 0.2418        | 3.0   | 123  | 0.2369          | 0.8967   |
+| 0.2261        | 1.0   | 41   | 0.2358          | 0.8985   |
+| 0.2418        | 2.0   | 82   | 0.2167          | 0.9088   |
+| 0.2044        | 3.0   | 123  | 0.2065          | 0.9036   |
+| 0.1995        | 4.0   | 164  | 0.2100          | 0.9105   |
+| 0.1972        | 5.0   | 205  | 0.1988          | 0.9105   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59042b0e525264314f80084960fe7b4d2bf368830e150aceddc2923c8e43030f
+oid sha256:de5e6a0273a28e93c78d161c3b2c677b7ed107cc1e80bd29347a03fcc671c291
 size 110352060