Commit From AutoTrain

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.bin.* filter=lfs diff=lfs merge=lfs -text
+*.tar.gz filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,37 @@
+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- lablancas/autotrain-data-multifamily
+widget:
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
+  example_title: Tiger
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
+  example_title: Teapot
+- src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
+  example_title: Palace
+co2_eq_emissions:
+  emissions: 4.633385512099204
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 3716799077
+- CO2 Emissions (in grams): 4.6334
+
+## Validation Metrics
+
+- Loss: 0.777
+- Accuracy: 0.762
+- Macro F1: 0.740
+- Micro F1: 0.762
+- Weighted F1: 0.742
+- Macro Precision: 0.754
+- Micro Precision: 0.762
+- Weighted Precision: 0.754
+- Macro Recall: 0.758
+- Micro Recall: 0.762
+- Weighted Recall: 0.762

config.json

@@ -0,0 +1,142 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    18,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 128,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 1024,
+  "id2label": {
+    "0": "Balcony-Patio",
+    "1": "Bathroom",
+    "10": "Construction",
+    "11": "Dining Room",
+    "12": "Dog Park",
+    "13": "Fire Pit",
+    "14": "Fitness Center",
+    "15": "Floorplan",
+    "16": "Fountain",
+    "17": "Green Space",
+    "18": "Grilling Area",
+    "19": "Hallway",
+    "2": "Bedroom",
+    "20": "Headshot",
+    "21": "Home Office",
+    "22": "Hot Tub",
+    "23": "Kitchen",
+    "24": "Laundry Facility",
+    "25": "Laundry Washer-Dryer",
+    "26": "Leasing Office",
+    "27": "Living Room",
+    "28": "Living Room Fireplace",
+    "29": "Logo",
+    "3": "Bike",
+    "30": "Lounge Area",
+    "31": "Mail Box",
+    "32": "Monument Sign",
+    "33": "Neighborhood",
+    "34": "Packages",
+    "35": "Parking",
+    "36": "Pet Washing",
+    "37": "Picnic Area",
+    "38": "Play Park",
+    "39": "Pool",
+    "4": "Building",
+    "40": "Pool Cabanas",
+    "41": "Pool Table",
+    "42": "Private Garage",
+    "43": "Site-plan",
+    "44": "Stock Photo",
+    "45": "Tennis Court",
+    "46": "View-Aerial",
+    "47": "room",
+    "5": "Business Center",
+    "6": "Business Center Conference Room",
+    "7": "Closet",
+    "8": "Clubhouse",
+    "9": "Clubhouse Dining Room"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Balcony-Patio": "0",
+    "Bathroom": "1",
+    "Bedroom": "2",
+    "Bike": "3",
+    "Building": "4",
+    "Business Center": "5",
+    "Business Center Conference Room": "6",
+    "Closet": "7",
+    "Clubhouse": "8",
+    "Clubhouse Dining Room": "9",
+    "Construction": "10",
+    "Dining Room": "11",
+    "Dog Park": "12",
+    "Fire Pit": "13",
+    "Fitness Center": "14",
+    "Floorplan": "15",
+    "Fountain": "16",
+    "Green Space": "17",
+    "Grilling Area": "18",
+    "Hallway": "19",
+    "Headshot": "20",
+    "Home Office": "21",
+    "Hot Tub": "22",
+    "Kitchen": "23",
+    "Laundry Facility": "24",
+    "Laundry Washer-Dryer": "25",
+    "Leasing Office": "26",
+    "Living Room": "27",
+    "Living Room Fireplace": "28",
+    "Logo": "29",
+    "Lounge Area": "30",
+    "Mail Box": "31",
+    "Monument Sign": "32",
+    "Neighborhood": "33",
+    "Packages": "34",
+    "Parking": "35",
+    "Pet Washing": "36",
+    "Picnic Area": "37",
+    "Play Park": "38",
+    "Pool": "39",
+    "Pool Cabanas": "40",
+    "Pool Table": "41",
+    "Private Garage": "42",
+    "Site-plan": "43",
+    "Stock Photo": "44",
+    "Tennis Court": "45",
+    "View-Aerial": "46",
+    "room": "47"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    4,
+    8,
+    16,
+    32
+  ],
+  "num_layers": 4,
+  "padding": "max_length",
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.25.1",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

@@ -0,0 +1,3 @@
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+size 347788369