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README.md

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+---
+base_model: microsoft/resnet-18
+library_name: transformers
+tags:
+- fusion-bench
+- merge
+---
+# Deep Model Fusion
+
+Fine-tuned ResNet model on dataset resisc45.
+
+## Models Merged
+
+This is a merged model created using [fusion-bench](https://github.com/tanganke/fusion_bench).
+
+The following models were included in the merge:
+
+
+
+
+## Configuration
+
+The following YAML configuration was used to produce this model:
+
+### Algorithm Configuration
+
+```yaml
+_recursive_: false
+_target_: fusion_bench.method.classification.image_classification_finetune.ImageClassificationFineTuning
+_usage_: null
+_version_: 0.2.25.dev0
+dataloader_kwargs:
+  batch_size: 128
+  num_workers: 8
+  pin_memory: true
+label_smoothing: 0
+lr_scheduler: null
+max_epochs: -1
+max_steps: 4000
+optimizer:
+  _target_: torch.optim.SGD
+  lr: 0.01
+  momentum: 0.9
+  weight_decay: 0.0001
+save_interval: 1000
+save_on_train_epoch_end: true
+save_top_k: -1
+training_data_ratio: 1.0
+```
+
+### Model Pool Configuration
+
+```yaml
+_recursive_: false
+_target_: fusion_bench.modelpool.resnet_for_image_classification.ResNetForImageClassificationPool
+_usage_: null
+_version_: 0.2.25.dev0
+models:
+  _pretrained_:
+    config_path: microsoft/resnet-18
+    dataset_name: resisc45
+    pretrained: true
+test_datasets: null
+train_datasets:
+  resisc45:
+    _target_: datasets.load_dataset
+    path: tanganke/resisc45
+    split: train
+type: transformers
+val_datasets:
+  resisc45:
+    _target_: datasets.load_dataset
+    path: tanganke/resisc45
+    split: test
+```
+

config.json

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+{
+  "architectures": [
+    "ResNetForImageClassification"
+  ],
+  "depths": [
+    2,
+    2,
+    2,
+    2
+  ],
+  "downsample_in_bottleneck": false,
+  "downsample_in_first_stage": false,
+  "dtype": "float32",
+  "embedding_size": 64,
+  "hidden_act": "relu",
+  "hidden_sizes": [
+    64,
+    128,
+    256,
+    512
+  ],
+  "id2label": {
+    "0": "airplane",
+    "1": "airport",
+    "2": "baseball diamond",
+    "3": "basketball court",
+    "4": "beach",
+    "5": "bridge",
+    "6": "chaparral",
+    "7": "church",
+    "8": "circular farmland",
+    "9": "cloud",
+    "10": "commercial area",
+    "11": "dense residential",
+    "12": "desert",
+    "13": "forest",
+    "14": "freeway",
+    "15": "golf course",
+    "16": "ground track field",
+    "17": "harbor",
+    "18": "industrial area",
+    "19": "intersection",
+    "20": "island",
+    "21": "lake",
+    "22": "meadow",
+    "23": "medium residential",
+    "24": "mobile home park",
+    "25": "mountain",
+    "26": "overpass",
+    "27": "palace",
+    "28": "parking lot",
+    "29": "railway",
+    "30": "railway station",
+    "31": "rectangular farmland",
+    "32": "river",
+    "33": "roundabout",
+    "34": "runway",
+    "35": "sea ice",
+    "36": "ship",
+    "37": "snowberg",
+    "38": "sparse residential",
+    "39": "stadium",
+    "40": "storage tank",
+    "41": "tennis court",
+    "42": "terrace",
+    "43": "thermal power station",
+    "44": "wetland"
+  },
+  "label2id": {
+    "airplane": 0,
+    "airport": 1,
+    "baseball diamond": 2,
+    "basketball court": 3,
+    "beach": 4,
+    "bridge": 5,
+    "chaparral": 6,
+    "church": 7,
+    "circular farmland": 8,
+    "cloud": 9,
+    "commercial area": 10,
+    "dense residential": 11,
+    "desert": 12,
+    "forest": 13,
+    "freeway": 14,
+    "golf course": 15,
+    "ground track field": 16,
+    "harbor": 17,
+    "industrial area": 18,
+    "intersection": 19,
+    "island": 20,
+    "lake": 21,
+    "meadow": 22,
+    "medium residential": 23,
+    "mobile home park": 24,
+    "mountain": 25,
+    "overpass": 26,
+    "palace": 27,
+    "parking lot": 28,
+    "railway": 29,
+    "railway station": 30,
+    "rectangular farmland": 31,
+    "river": 32,
+    "roundabout": 33,
+    "runway": 34,
+    "sea ice": 35,
+    "ship": 36,
+    "snowberg": 37,
+    "sparse residential": 38,
+    "stadium": 39,
+    "storage tank": 40,
+    "tennis court": 41,
+    "terrace": 42,
+    "thermal power station": 43,
+    "wetland": 44
+  },
+  "layer_type": "basic",
+  "model_type": "resnet",
+  "num_channels": 3,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "transformers_version": "4.56.1"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2cc555a4afbb6885a6b0f058bb2e029217cd7d80b6155c52cfb133a32cdfe2f5
+size 44852596

preprocessor_config.json

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+{
+  "crop_pct": 0.875,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ConvNextImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "shortest_edge": 224
+  }
+}