Model save

.DS_Store

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README.md

@@ -4,9 +4,36 @@ tags:
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
+- f1
+- recall
+- precision
 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: 0.9977843426883308
+    - name: F1
+      type: f1
+      value: 0.9984067976633033
+    - name: Recall
+      type: recall
+      value: 0.9978768577494692
+    - name: Precision
+      type: precision
+      value: 0.9989373007438895
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,15 +43,11 @@ 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: 0.7449
-- eval_accuracy: 0.4357
-- eval_f1: 0.4203
-- eval_recall: 0.2882
-- eval_precision: 0.7759
-- eval_runtime: 69.1743
-- eval_samples_per_second: 19.574
-- eval_steps_per_second: 0.622
-- step: 0
+- Loss: 0.0101
+- Accuracy: 0.9978
+- F1: 0.9984
+- Recall: 0.9979
+- Precision: 0.9989
 
 ## Model description
 
@@ -54,6 +77,16 @@ 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 | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 0.1884        | 1.0   | 95   | 0.0706          | 0.9705   | 0.9787 | 0.9756 | 0.9818    |
+| 0.1134        | 2.0   | 190  | 0.0364          | 0.9889   | 0.9920 | 0.9883 | 0.9957    |
+| 0.1031        | 3.0   | 285  | 0.0116          | 0.9963   | 0.9973 | 0.9947 | 1.0       |
+| 0.0746        | 4.0   | 380  | 0.0101          | 0.9978   | 0.9984 | 0.9979 | 0.9989    |
+
+
 ### Framework versions
 
 - Transformers 4.23.1

training_args.bin

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