Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9411764705882353
+      value: 0.9803921568627451
 ---
 
 <!-- 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-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4168
-- Accuracy: 0.9412
+- Loss: 0.0946
+- Accuracy: 0.9804
 
 ## Model description
 
@@ -61,15 +61,17 @@ 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: 5
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.92  | 3    | 0.6138          | 0.6275   |
-| No log        | 1.85  | 6    | 0.4697          | 0.9412   |
-| No log        | 2.77  | 9    | 0.4168          | 0.9412   |
+| No log        | 0.92  | 3    | 0.4395          | 0.6667   |
+| No log        | 1.85  | 6    | 0.2817          | 0.9020   |
+| No log        | 2.77  | 9    | 0.1354          | 0.9608   |
+| 0.3994        | 4.0   | 13   | 0.0956          | 0.9804   |
+| 0.3994        | 4.62  | 15   | 0.0946          | 0.9804   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b47388352d8e0550c67592249702bccb4333fe2b70cf02f283600babf60488b
+oid sha256:d8b97294cb1e3cf6ff22a45168ad0e8c1d7d8fa17a2d344aa5d584241d4859c6
 size 347498816