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README.md

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+
+# DomainBed CORAL for PACS
+
+This model was trained using the DomainBed framework with the following configuration:
+- Algorithm: CORAL
+- Dataset: PACS
+- Test Environments: [2, 3]
+- Input Shape: (3, 224, 224)
+- Number of Classes: 7
+- Number of Domains: 2
+        

config.json

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+{
+  "_attn_implementation_autoset": true,
+  "algorithm_name": "CORAL",
+  "dataset_name": "PACS",
+  "hparams": {
+    "batch_size": 32,
+    "class_balanced": false,
+    "data_augmentation": true,
+    "dinov2": false,
+    "freeze_bn": false,
+    "lars": false,
+    "linear_steps": 500,
+    "lr": 5e-05,
+    "mmd_gamma": 1.0,
+    "nonlinear_classifier": false,
+    "resnet18": false,
+    "resnet50_augmix": true,
+    "resnet_dropout": 0.0,
+    "vit": false,
+    "vit_attn_tune": false,
+    "vit_dropout": 0.0,
+    "weight_decay": 0.0
+  },
+  "input_shape": [
+    3,
+    224,
+    224
+  ],
+  "model_type": "domainbed",
+  "num_classes": 7,
+  "num_domains": 2,
+  "test_envs": [
+    2,
+    3
+  ],
+  "transformers_version": "4.48.2"
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cebe28101fbbac2a6e6f6f8afb18cf22ac7583b3851177417f82bd4376cc0112
+size 94466890