End of training

README.md

@@ -4,7 +4,7 @@ base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
 datasets:
-- beans
+- imagefolder
 metrics:
 - accuracy
 model-index:
@@ -14,15 +14,15 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: beans
-      type: beans
+      name: imagefolder
+      type: imagefolder
       config: default
       split: train
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.961352657004831
+      value: 0.4625
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # image_classification
 
-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 beans dataset.
+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: 0.1697
-- Accuracy: 0.9614
+- Loss: 1.4566
+- Accuracy: 0.4625
 
 ## Model description
 
@@ -64,9 +64,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 52   | 0.2519          | 0.9565   |
-| No log        | 2.0   | 104  | 0.2024          | 0.9420   |
-| No log        | 3.0   | 156  | 0.1417          | 0.9710   |
+| No log        | 1.0   | 40   | 1.5451          | 0.3937   |
+| No log        | 2.0   | 80   | 1.4845          | 0.4562   |
+| No log        | 3.0   | 120  | 1.4430          | 0.4875   |
 
 
 ### Framework versions