End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.575
+      value: 0.5
 ---
 
 <!-- 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: 1.1641
-- Accuracy: 0.575
+- Loss: 1.4124
+- Accuracy: 0.5
 
 ## Model description
 
@@ -58,19 +58,16 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 7
+- num_epochs: 4
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 40   | 1.6582          | 0.475    |
-| No log        | 2.0   | 80   | 1.4117          | 0.4375   |
-| No log        | 3.0   | 120  | 1.3116          | 0.55     |
-| No log        | 4.0   | 160  | 1.2137          | 0.5437   |
-| No log        | 5.0   | 200  | 1.1592          | 0.5813   |
-| No log        | 6.0   | 240  | 1.1247          | 0.5875   |
-| No log        | 7.0   | 280  | 1.1440          | 0.6188   |
+| No log        | 1.0   | 40   | 1.8082          | 0.3      |
+| No log        | 2.0   | 80   | 1.5637          | 0.3688   |
+| No log        | 3.0   | 120  | 1.4570          | 0.4562   |
+| No log        | 4.0   | 160  | 1.4012          | 0.525    |
 
 
 ### Framework versions