End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.40625
+      value: 0.18125
 ---
 
 <!-- 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: 1.6998
-- Accuracy: 0.4062
+- Loss: 2.0717
+- Accuracy: 0.1812
 
 ## Model description
 
@@ -65,12 +65,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 20   | 1.6902          | 0.425    |
-| No log        | 2.0   | 40   | 1.6884          | 0.3812   |
-| No log        | 3.0   | 60   | 1.6596          | 0.425    |
-| No log        | 4.0   | 80   | 1.6546          | 0.3688   |
-| No log        | 5.0   | 100  | 1.6469          | 0.4062   |
-| No log        | 6.0   | 120  | 1.6572          | 0.3937   |
+| No log        | 1.0   | 20   | 2.0869          | 0.125    |
+| No log        | 2.0   | 40   | 2.0807          | 0.1625   |
+| No log        | 3.0   | 60   | 2.0780          | 0.1688   |
+| No log        | 4.0   | 80   | 2.0718          | 0.1562   |
+| No log        | 5.0   | 100  | 2.0765          | 0.1562   |
+| No log        | 6.0   | 120  | 2.0649          | 0.1938   |
 
 
 ### Framework versions

runs/Feb18_14-50-51_7ae85522bb30/events.out.tfevents.1708268073.7ae85522bb30.25154.1

@@ -0,0 +1,3 @@
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+oid sha256:d4da72d733cd791adb26aec1ef149cc1d974515f0742835e471a4f654efed45a
+size 405