End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.375
+      value: 0.45
 ---
 
 <!-- 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: 1.8837
-- Accuracy: 0.375
+- Loss: 1.5910
+- Accuracy: 0.45
 
 ## 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   | 1.8891          | 0.3688   |
-| No log        | 2.0   | 80   | 1.6909          | 0.35     |
-| No log        | 3.0   | 120  | 1.6438          | 0.3688   |
+| No log        | 1.0   | 45   | 1.8264          | 0.35     |
+| No log        | 2.0   | 90   | 1.6626          | 0.3875   |
+| No log        | 3.0   | 135  | 1.5806          | 0.4      |
 
 
 ### Framework versions

runs/Feb09_09-11-44_481290d6d8e1/events.out.tfevents.1707470062.481290d6d8e1.838.1

@@ -0,0 +1,3 @@
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+size 411