End of training

README.md

@@ -16,13 +16,13 @@ model-index:
     dataset:
       name: imagefolder
       type: imagefolder
-      config: en-US
+      config: default
       split: train
-      args: en-US
+      args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.46875
+      value: 0.3125
 ---
 
 <!-- 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: 1.4008
-- Accuracy: 0.4688
+- Loss: 1.6561
+- Accuracy: 0.3125
 
 ## 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   | 1.5259          | 0.4375   |
-| No log        | 2.0   | 80   | 1.4224          | 0.4562   |
-| No log        | 3.0   | 120  | 1.4081          | 0.45     |
+| No log        | 1.0   | 40   | 1.9175          | 0.2812   |
+| No log        | 2.0   | 80   | 1.6993          | 0.2812   |
+| No log        | 3.0   | 120  | 1.6623          | 0.3125   |
 
 
 ### Framework versions