End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.19375
+      value: 0.275
 ---
 
 <!-- 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: 1.9090
-- Accuracy: 0.1938
+- Loss: 1.8706
+- Accuracy: 0.275
 
 ## Model description
 
@@ -65,9 +65,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 2.0239        | 1.0   | 20   | 2.0188          | 0.1562   |
-| 1.6689        | 2.0   | 40   | 1.9355          | 0.1812   |
-| 1.5089        | 3.0   | 60   | 1.9090          | 0.1938   |
+| 2.0054        | 1.0   | 20   | 1.9922          | 0.175    |
+| 1.6509        | 2.0   | 40   | 1.9052          | 0.2375   |
+| 1.4793        | 3.0   | 60   | 1.8706          | 0.275    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:47979154071d711099dd959de2ae618365f8104329706e03c6f6224377aaa2bc
+oid sha256:6490045c9b4f8f3b57db846a494ff98bea0dc3565e24aaeb7cb844a6562a799f
 size 343242432