End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.4625
+      value: 0.5125
 ---
 
 <!-- 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 [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4254
-- Accuracy: 0.4625
+- Loss: 1.2958
+- Accuracy: 0.5125
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.7634          | 0.3312   |
-| No log        | 2.0   | 80   | 1.4880          | 0.4625   |
-| No log        | 3.0   | 120  | 1.4254          | 0.4625   |
+| No log        | 1.0   | 40   | 1.4813          | 0.4625   |
+| No log        | 2.0   | 80   | 1.3642          | 0.4938   |
+| No log        | 3.0   | 120  | 1.2958          | 0.5125   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d4fdd8323fa415a130074e5e3eb06a25a1c1f3af129f67a1b786bf8eabf97f31
+oid sha256:5a93a62decd96a417cd8deb6ad434b55a882ff488ffbbc3ad68216f93f09fa87
 size 343242432