update model card README.md

README.md

@@ -3,24 +3,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: swinv2-finetuned-eurosat
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: imagefolder
-      type: imagefolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9827777777777778
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,9 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
 # swinv2-finetuned-eurosat
 
 This model is a fine-tuned version of [microsoft/swinv2-base-patch4-window16-256](https://huggingface.co/microsoft/swinv2-base-patch4-window16-256) on the imagefolder dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.0547
-- Accuracy: 0.9828
 
 ## Model description
 
@@ -61,16 +43,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 1
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.0555        | 1.0   | 168  | 0.0547          | 0.9828   |
-
-
 ### Framework versions
 
-- Transformers 4.23.1
+- Transformers 4.24.0
 - Pytorch 1.12.1+cu113
 - Datasets 2.6.1
 - Tokenizers 0.13.1