update model card README.md

README.md

@@ -1,28 +1,12 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: vit-base-trees
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: beans
-      type: imagefolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 1.0
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-trees
 
-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.
-It achieves the following results on the evaluation set:
-- Loss: 0.0319
-- Accuracy: 1.0
+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.
 
 ## Model description
 
@@ -66,7 +47,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.28.0
+- Transformers 4.29.2
 - Pytorch 2.0.1
 - Datasets 2.12.0
 - Tokenizers 0.13.3