diff --git a/docs/hi/models/yolov3.md b/docs/hi/models/yolov3.md
index 2a2c98f7a1..4fc14a8c0a 100644
--- a/docs/hi/models/yolov3.md
+++ b/docs/hi/models/yolov3.md
@@ -82,7 +82,7 @@ YOLOv3 श्रृंखला, इनमें YOLOv3, YOLOv3-Ultralytics औ
 
 अगर आप अपने शोध में YOLOv3 का उपयोग करते हैं, तो कृपया मूल YOLO पेपर्स और Ultralytics YOLOv3 रिपॉज़िटरी को उद्धृत करें।
 
-!!! उध्दरण ""
+!!! Quote ""
 
     === "BibTeX"
 
diff --git a/docs/hi/models/yolov5.md b/docs/hi/models/yolov5.md
index b1bcad567e..4a9172e39f 100644
--- a/docs/hi/models/yolov5.md
+++ b/docs/hi/models/yolov5.md
@@ -72,8 +72,7 @@ YOLOv5u वस्तु ज्ञापन के तरीकों में 
         model.info()
 
         # COCO8 प्रायोगिक उदाहरण डेटासेट पर 100 एपॉक के लिए मॉडल
-
-ka प्रशिक्षित करें results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
+        results = model.train(data='coco8.yaml', epochs=100, imgsz=640)
 
         # YOLOv5n मॉडल के साथ 'bus.jpg' छविमें ज्ञापन चलाएं
         results = model('path/to/bus.jpg')
diff --git a/docs/hi/models/yolov8.md b/docs/hi/models/yolov8.md
index a42debfd39..44f4628046 100644
--- a/docs/hi/models/yolov8.md
+++ b/docs/hi/models/yolov8.md
@@ -36,7 +36,7 @@ Yएक मॉडल के हर मानक, विशिष्ट कार
 
 ## प्रदर्शन की मापदंड
 
-!!! प्रदर्शन
+!!! Note "प्रदर्शन"
 
     === "वस्तुनिर्धारण (COCO)"
 
diff --git a/docs/mkdocs_ar.yml b/docs/mkdocs_ar.yml
index c14ea8e379..966e1965bf 100644
--- a/docs/mkdocs_ar.yml
+++ b/docs/mkdocs_ar.yml
@@ -188,6 +188,17 @@ nav:
       - الوضعية: tasks/pose.md
   - النماذج:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - المجموعات البيانية:
       - datasets/index.md
 
diff --git a/docs/mkdocs_de.yml b/docs/mkdocs_de.yml
index 0d01cc1240..c63c47d413 100644
--- a/docs/mkdocs_de.yml
+++ b/docs/mkdocs_de.yml
@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelle:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Datensätze:
       - datasets/index.md
 
diff --git a/docs/mkdocs_es.yml b/docs/mkdocs_es.yml
index aad2873db3..ec29a506e6 100644
--- a/docs/mkdocs_es.yml
+++ b/docs/mkdocs_es.yml
@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelos:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Conjuntos de datos:
       - datasets/index.md
 
diff --git a/docs/mkdocs_fr.yml b/docs/mkdocs_fr.yml
index 65aacec6b7..37f99d8105 100644
--- a/docs/mkdocs_fr.yml
+++ b/docs/mkdocs_fr.yml
@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modèles:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Jeux de données:
       - datasets/index.md
 
diff --git a/docs/mkdocs_hi.yml b/docs/mkdocs_hi.yml
index f82b3c9d48..45314bb421 100644
--- a/docs/mkdocs_hi.yml
+++ b/docs/mkdocs_hi.yml
@@ -188,6 +188,17 @@ nav:
       - मुद्रा: tasks/pose.md
   - मॉडल:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - डेटासेट्स:
       - datasets/index.md
 
diff --git a/docs/mkdocs_ja.yml b/docs/mkdocs_ja.yml
index 78b682cfd8..53bd90667b 100644
--- a/docs/mkdocs_ja.yml
+++ b/docs/mkdocs_ja.yml
@@ -188,6 +188,17 @@ nav:
       - ポーズ: tasks/pose.md
   - モデル:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - データセット:
       - datasets/index.md
 
diff --git a/docs/mkdocs_ko.yml b/docs/mkdocs_ko.yml
index 27471a20b0..649bbc8db0 100644
--- a/docs/mkdocs_ko.yml
+++ b/docs/mkdocs_ko.yml
@@ -188,6 +188,17 @@ nav:
       - 포즈: tasks/pose.md
   - 모델:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - 데이터셋:
       - datasets/index.md
 
diff --git a/docs/mkdocs_pt.yml b/docs/mkdocs_pt.yml
index 46979a4898..724afabee9 100644
--- a/docs/mkdocs_pt.yml
+++ b/docs/mkdocs_pt.yml
@@ -188,6 +188,17 @@ nav:
       - Pose: tasks/pose.md
   - Modelos:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Conjuntos de Dados:
       - datasets/index.md
 
diff --git a/docs/mkdocs_ru.yml b/docs/mkdocs_ru.yml
index dd1a5bf535..b097c13d87 100644
--- a/docs/mkdocs_ru.yml
+++ b/docs/mkdocs_ru.yml
@@ -188,6 +188,17 @@ nav:
       - Поза: tasks/pose.md
   - Модели:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - Данные:
       - datasets/index.md
 
diff --git a/docs/mkdocs_zh.yml b/docs/mkdocs_zh.yml
index b96c69334b..393d74979d 100644
--- a/docs/mkdocs_zh.yml
+++ b/docs/mkdocs_zh.yml
@@ -188,6 +188,17 @@ nav:
       - 姿态: tasks/pose.md
   - 模型:
       - models/index.md
+      - YOLOv3: models/yolov3.md
+      - YOLOv4: models/yolov4.md
+      - YOLOv5: models/yolov5.md
+      - YOLOv6: models/yolov6.md
+      - YOLOv7: models/yolov7.md
+      - YOLOv8: models/yolov8.md
+      - SAM (Segment Anything Model): models/sam.md
+      - MobileSAM (Mobile Segment Anything Model): models/mobile-sam.md
+      - FastSAM (Fast Segment Anything Model): models/fast-sam.md
+      - YOLO-NAS (Neural Architecture Search): models/yolo-nas.md
+      - RT-DETR (Realtime Detection Transformer): models/rtdetr.md
   - 数据集:
       - datasets/index.md
 
diff --git a/ultralytics/__init__.py b/ultralytics/__init__.py
index 3469720c00..8686d6a49f 100644
--- a/ultralytics/__init__.py
+++ b/ultralytics/__init__.py
@@ -1,6 +1,6 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
-__version__ = '8.0.215'
+__version__ = '8.0.216'
 
 from ultralytics.models import RTDETR, SAM, YOLO
 from ultralytics.models.fastsam import FastSAM
diff --git a/ultralytics/utils/loss.py b/ultralytics/utils/loss.py
index 916f91c563..da2e584233 100644
--- a/ultralytics/utils/loss.py
+++ b/ultralytics/utils/loss.py
@@ -523,6 +523,6 @@ class v8ClassificationLoss:
 
     def __call__(self, preds, batch):
         """Compute the classification loss between predictions and true labels."""
-        loss = torch.nn.functional.cross_entropy(preds, batch['cls'], reduction='sum') / 64
+        loss = torch.nn.functional.cross_entropy(preds, batch['cls'], reduction='mean')
         loss_items = loss.detach()
         return loss, loss_items