update model card README.md

README.md

@@ -4,9 +4,24 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-brainTumorData
-  results: []
+  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: 0.990228013029316
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,13 +31,8 @@ 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:
-- 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
+- Loss: 0.0352
+- Accuracy: 0.9902
 
 ## Model description
 
@@ -52,6 +62,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 4
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3818        | 0.97  | 21   | 0.1545          | 0.9707   |
+| 0.2407        | 1.97  | 42   | 0.0768          | 0.9739   |
+| 0.1841        | 2.97  | 63   | 0.0439          | 0.9870   |
+| 0.1776        | 3.97  | 84   | 0.0352          | 0.9902   |
+
+
 ### Framework versions
 
 - Transformers 4.23.1