Update README.md
Browse files
README.md
CHANGED
|
@@ -30,22 +30,27 @@ language:
|
|
| 30 |
pipeline_tag: image-classification
|
| 31 |
---
|
| 32 |
|
| 33 |
-
<h1>
|
|
|
|
|
|
|
| 34 |
|
| 35 |
This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
|
| 36 |
|
| 37 |
It achieves the following results on the evaluation set:
|
| 38 |
- Loss: 2.2761
|
| 39 |
- Accuracy: 0.7817
|
| 40 |
-
-
|
| 41 |
-
-
|
| 42 |
-
-
|
| 43 |
-
-
|
| 44 |
-
-
|
| 45 |
-
-
|
| 46 |
-
-
|
| 47 |
-
-
|
| 48 |
-
-
|
|
|
|
|
|
|
|
|
|
| 49 |
|
| 50 |
<div style="text-align: center;">
|
| 51 |
<h2>
|
|
|
|
| 30 |
pipeline_tag: image-classification
|
| 31 |
---
|
| 32 |
|
| 33 |
+
<h1>
|
| 34 |
+
efficientformer-l3-300-Brain_Tumors_Image_Classification
|
| 35 |
+
</h1>
|
| 36 |
|
| 37 |
This model is a fine-tuned version of [snap-research/efficientformer-l3-300](https://huggingface.co/snap-research/efficientformer-l3-300).
|
| 38 |
|
| 39 |
It achieves the following results on the evaluation set:
|
| 40 |
- Loss: 2.2761
|
| 41 |
- Accuracy: 0.7817
|
| 42 |
+
- F1
|
| 43 |
+
- Weighted: 0.7381
|
| 44 |
+
- Micro: 0.7817
|
| 45 |
+
- Macro: 0.7465
|
| 46 |
+
- Recall
|
| 47 |
+
- Weighted: 0.7817
|
| 48 |
+
- Micro: 0.7817
|
| 49 |
+
- Macro: 0.7771
|
| 50 |
+
- Precision
|
| 51 |
+
- Weighted: 0.8442
|
| 52 |
+
- Micro: 0.7817
|
| 53 |
+
- Macro: 0.8613
|
| 54 |
|
| 55 |
<div style="text-align: center;">
|
| 56 |
<h2>
|