Commit From AutoTrain

.gitattributes

@@ -33,3 +33,6 @@ 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

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+---
+tags:
+- autotrain
+- vision
+- image-classification
+datasets:
+- fsuarez/autotrain-data-logo-identifier
+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: 0.060824697813101125
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Multi-class Classification
+- Model ID: 90194144191
+- CO2 Emissions (in grams): 0.0608
+
+## Validation Metrics
+
+- Loss: 0.300
+- Accuracy: 0.924
+- Macro F1: 0.924
+- Micro F1: 0.924
+- Weighted F1: 0.922
+- Macro Precision: 0.930
+- Micro Precision: 0.924
+- Weighted Precision: 0.928
+- Macro Recall: 0.924
+- Micro Recall: 0.924
+- Weighted Recall: 0.924

config.json

@@ -0,0 +1,151 @@
+{
+  "_name_or_path": "AutoTrain",
+  "architectures": [
+    "SwinForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "depths": [
+    2,
+    2,
+    6,
+    2
+  ],
+  "drop_path_rate": 0.1,
+  "embed_dim": 96,
+  "encoder_stride": 32,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Acer",
+    "1": "Acura",
+    "10": "Converse",
+    "11": "CornFlakes",
+    "12": "DominosPizza",
+    "13": "Excel",
+    "14": "GMC",
+    "15": "Gillette",
+    "16": "Google",
+    "17": "HardRockCafe",
+    "18": "Heineken",
+    "19": "HewlettPackard",
+    "2": "Addidas",
+    "20": "Hp",
+    "21": "Huawei",
+    "22": "Hyundai",
+    "23": "IBM",
+    "24": "Java",
+    "25": "KFC",
+    "26": "Kia",
+    "27": "Kingston",
+    "28": "LG",
+    "29": "Lenovo",
+    "3": "Ades",
+    "30": "Lipton",
+    "31": "Mattel",
+    "32": "McDonalds",
+    "33": "MercedesBenz",
+    "34": "Motorola",
+    "35": "Nestle",
+    "36": "Nickelodeon",
+    "37": "Nike",
+    "38": "Pennzoil",
+    "39": "Pepsi",
+    "4": "Adio",
+    "40": "Peugeot",
+    "41": "Porsche",
+    "42": "Samsung",
+    "43": "SchneiderElectric",
+    "44": "Shell",
+    "45": "cocacola",
+    "5": "Cadillac",
+    "6": "CalvinKlein",
+    "7": "Canon",
+    "8": "CocaColaZero",
+    "9": "Coleman"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "label2id": {
+    "Acer": "0",
+    "Acura": "1",
+    "Addidas": "2",
+    "Ades": "3",
+    "Adio": "4",
+    "Cadillac": "5",
+    "CalvinKlein": "6",
+    "Canon": "7",
+    "CocaColaZero": "8",
+    "Coleman": "9",
+    "Converse": "10",
+    "CornFlakes": "11",
+    "DominosPizza": "12",
+    "Excel": "13",
+    "GMC": "14",
+    "Gillette": "15",
+    "Google": "16",
+    "HardRockCafe": "17",
+    "Heineken": "18",
+    "HewlettPackard": "19",
+    "Hp": "20",
+    "Huawei": "21",
+    "Hyundai": "22",
+    "IBM": "23",
+    "Java": "24",
+    "KFC": "25",
+    "Kia": "26",
+    "Kingston": "27",
+    "LG": "28",
+    "Lenovo": "29",
+    "Lipton": "30",
+    "Mattel": "31",
+    "McDonalds": "32",
+    "MercedesBenz": "33",
+    "Motorola": "34",
+    "Nestle": "35",
+    "Nickelodeon": "36",
+    "Nike": "37",
+    "Pennzoil": "38",
+    "Pepsi": "39",
+    "Peugeot": "40",
+    "Porsche": "41",
+    "Samsung": "42",
+    "SchneiderElectric": "43",
+    "Shell": "44",
+    "cocacola": "45"
+  },
+  "layer_norm_eps": 1e-05,
+  "max_length": 128,
+  "mlp_ratio": 4.0,
+  "model_type": "swin",
+  "num_channels": 3,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "out_features": [
+    "stage4"
+  ],
+  "out_indices": [
+    4
+  ],
+  "padding": "max_length",
+  "patch_size": 4,
+  "path_norm": true,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "stage_names": [
+    "stem",
+    "stage1",
+    "stage2",
+    "stage3",
+    "stage4"
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_absolute_embeddings": false,
+  "window_size": 7
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:13eda6829cd09a744498efc6d056cb7c1cf65119910ced6a9cbe2a3faf3e0f52
+size 110478184

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

pytorch_model.bin

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