End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.39375
+      value: 0.325
 ---
 
 <!-- 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 [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6355
-- Accuracy: 0.3937
+- Loss: 1.7674
+- Accuracy: 0.325
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.8921          | 0.3438   |
-| No log        | 2.0   | 80   | 1.6712          | 0.3812   |
-| No log        | 3.0   | 120  | 1.6091          | 0.4125   |
+| No log        | 1.0   | 40   | 1.9714          | 0.2938   |
+| No log        | 2.0   | 80   | 1.7702          | 0.3375   |
+| No log        | 3.0   | 120  | 1.7064          | 0.3125   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:8a1a71c3147bce69ee7089d21ebc2c6e31ad3f5900025f03001ce738918ae52a
 size 343287149