Model save

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7303220035778175
+      value: 0.7294275491949911
 ---
 
 <!-- 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: 0.4546
-- Accuracy: 0.7303
+- Loss: 0.4504
+- Accuracy: 0.7294
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6197        | 1.0   | 314  | 0.4982          | 0.7122   |
-| 0.5524        | 2.0   | 629  | 0.4690          | 0.7187   |
-| 0.5268        | 3.0   | 942  | 0.4546          | 0.7303   |
+| 0.6531        | 1.0   | 314  | 0.5172          | 0.7044   |
+| 0.5774        | 2.0   | 629  | 0.4614          | 0.7241   |
+| 0.5496        | 3.0   | 943  | 0.4499          | 0.7299   |
+| 0.5014        | 4.0   | 1258 | 0.4505          | 0.7321   |
+| 0.4746        | 4.99  | 1570 | 0.4504          | 0.7294   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2521da18d3483243afb070bdc54f9f4936c8ffc50153bb7540c629964a20e7ca
 size 110401009