End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6280752026838132
+      value: 0.6394150417827298
 ---
 
 <!-- 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 [WinKawaks/vit-small-patch16-224](https://huggingface.co/WinKawaks/vit-small-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 2.9496
-- Accuracy: 0.6281
+- Loss: 2.4835
+- Accuracy: 0.6394
 
 ## Model description
 
@@ -61,17 +61,15 @@ 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: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.1838        | 1.0   | 1008 | 1.0518          | 0.6251   |
-| 0.1096        | 2.0   | 2016 | 1.2599          | 0.6535   |
-| 0.0547        | 3.0   | 3024 | 1.9005          | 0.6331   |
-| 0.0415        | 4.0   | 4032 | 2.5122          | 0.6327   |
-| 0.0163        | 5.0   | 5040 | 2.9496          | 0.6281   |
+| 0.0897        | 1.0   | 781  | 1.7652          | 0.6574   |
+| 0.0539        | 2.0   | 1562 | 2.5512          | 0.6017   |
+| 0.0127        | 3.0   | 2343 | 2.4835          | 0.6394   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:3581307fd17a8a1e4f98dff2d9eea0cd85dbcda5e113b43ff8e0669c663f9724
 size 87114228