Upload densenet121-chexnet-14classes model (AUC: 0.7626)

README.md

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+---
+language: en
+license: apache-2.0
+library_name: pytorch
+pipeline_tag: image-classification
+tags:
+- chexnet
+- chest-xray
+- multi-label
+- 14-pathologies
+---
+
+# densenet121-chexnet-14classes
+
+This model is a densenet121-chexnet-14classes trained on the NIH Chest X-ray dataset for multi-label classification of 14 pathologies.
+
+
+## Metrics
+- **auc_macro**: 0.7626
+- **auc_micro**: 0.8496
+- **mAP**: 0.2341
+
+
+## Training Configuration
+- **learning_rate**: 0.001
+- **batch_size**: 16
+- **num_epochs**: 50
+
+
+## Usage
+
+```python
+import torch
+# Load model logic here
+```

config.json

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+{
+  "model_name": "densenet121-chexnet-14classes",
+  "num_classes": 15,
+  "class_names": [
+    "No Finding",
+    "Atelectasis",
+    "Cardiomegaly",
+    "Effusion",
+    "Infiltration",
+    "Mass",
+    "Nodule",
+    "Pneumonia",
+    "Pneumothorax",
+    "Consolidation",
+    "Edema",
+    "Emphysema",
+    "Fibrosis",
+    "Pleural_Thickening",
+    "Hernia"
+  ],
+  "image_size": 224,
+  "task": "multi-label-classification",
+  "dataset": "NIH Chest X-ray",
+  "uploaded_at": "2026-01-04T09:35:34.631516",
+  "training_config": {
+    "learning_rate": 0.001,
+    "batch_size": 16,
+    "num_epochs": 50
+  },
+  "metrics": {
+    "auc_macro": 0.7626,
+    "auc_micro": 0.8496,
+    "mAP": 0.2341
+  }
+}

pytorch_model.bin

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