End of training

README.md

@@ -17,12 +17,12 @@ model-index:
       name: imagefolder
       type: imagefolder
       config: default
-      split: train[:18]
+      split: train[:39]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.75
+      value: 0.625
 ---
 
 <!-- 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: 0.6055
-- Accuracy: 0.75
+- Loss: 0.6614
+- Accuracy: 0.625
 
 ## Model description
 
@@ -67,9 +67,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7063          | 0.25     |
-| No log        | 2.0   | 2    | 0.6390          | 0.75     |
-| No log        | 3.0   | 3    | 0.6055          | 0.75     |
+| No log        | 1.0   | 1    | 0.7041          | 0.625    |
+| No log        | 2.0   | 2    | 0.6657          | 0.625    |
+| No log        | 3.0   | 3    | 0.6614          | 0.625    |
 
 
 ### Framework versions