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efficientformer-l3-300-Brain_Tumors_Image_Classification

Image Classification

efficientformer

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Eval Results (legacy)

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DunnBC22 commited on Jul 23, 2023

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@@ -30,22 +30,27 @@ language:
 pipeline_tag: image-classification
 ---
-<h1>efficientformer-l3-300-Brain_Tumors_Image_Classification</h1>
 This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
 It achieves the following results on the evaluation set:
 - Loss: 2.2761
 - Accuracy: 0.7817
-- Weighted f1: 0.7381
-- Micro f1: 0.7817
-- Macro f1: 0.7465
-- Weighted recall: 0.7817
-- Micro recall: 0.7817
-- Macro recall: 0.7771
-- Weighted precision: 0.8442
-- Micro precision: 0.7817
-- Macro precision: 0.8613
 <div style="text-align: center;">
 <h2>

 pipeline_tag: image-classification
 ---
+<h1>
+  efficientformer-l3-300-Brain_Tumors_Image_Classification
+</h1>
 This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
 It achieves the following results on the evaluation set:
 - Loss: 2.2761
 - Accuracy: 0.7817
+- F1
+  - Weighted: 0.7381
+  - Micro: 0.7817
+  - Macro: 0.7465
+- Recall
+  - Weighted: 0.7817
+  - Micro: 0.7817
+  - Macro: 0.7771
+- Precision
+  - Weighted: 0.8442
+  - Micro: 0.7817
+  - Macro: 0.8613
 <div style="text-align: center;">
 <h2>