Update README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- image_folder
+- Cassava-Leaf-Disease-Classification
 metrics:
 - accuracy
 model-index:
@@ -13,7 +13,7 @@ model-index:
       name: Image Classification
       type: image-classification
     dataset:
-      name: image_folder
+      name: image-folder
       type: image_folder
       args: default
     metrics:
@@ -27,7 +27,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-patch16-224-in21k-finetuned-cassava
 
-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 image_folder 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 Cassava-Leaf-Disease-Classification dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4011
 - Accuracy: 0.8722
@@ -72,6 +72,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.20.1
-- Pytorch 1.11.0
+- PyTorch 1.11.0
 - Datasets 2.1.0
 - Tokenizers 0.12.1