Update README.md

README.md

@@ -6,6 +6,20 @@ library_name: timm
 license: mit
 datasets:
 - cifar10
+metrics:
+- accuracy
+model-index:
+  - name: resnet18
+    results: 
+      - task: 
+          type: image-classification
+        dataset:
+          name: cifar10
+          type: cifar10
+        metrics:
+          - name: accuracy
+            type: accuracy
+            value: 92.73
 ---
 # Model card for resnet18_cifar10
 
@@ -16,6 +30,15 @@ import timm
 model = timm.create_model("hf_hub:SamAdamDay/resnet18_cifar10", pretrained=True)
 ```
 
+The model was trained using the following command:
+```bash
+./distributed_train.sh --dataset torch/cifar10 --data-dir /root/data --dataset-download --model resnet18 --lr-base 0.3
+```
+
+## Metrics
+
+The model has a test accuracy of 92.73.
+
 ## Model Details
 - **Dataset:** cifar10
 - **Number of epochs:** 300
@@ -24,3 +47,4 @@ model = timm.create_model("hf_hub:SamAdamDay/resnet18_cifar10", pretrained=True)
 - **LR scheduler:** cosine
 - **PyTorch version:** 2.3.0+cu121
 - **timm version:** 1.0.7
+