update model card README.md

README.md

@@ -4,24 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
-metrics:
-- accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-brainTumorData
-  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: 0.9771986970684039
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +16,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0869
-- Accuracy: 0.9772
+- eval_loss: 0.0376
+- eval_accuracy: 0.9902
+- eval_runtime: 88.2002
+- eval_samples_per_second: 3.481
+- eval_steps_per_second: 0.113
+- epoch: 3.64
+- step: 77
 
 ## Model description
 
@@ -60,16 +50,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4488        | 0.97  | 21   | 0.1943          | 0.9316   |
-| 0.2169        | 1.97  | 42   | 0.1068          | 0.9511   |
-| 0.1812        | 2.97  | 63   | 0.0869          | 0.9772   |
-
+- num_epochs: 4
 
 ### Framework versions