Model save

.gitignore

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+checkpoint-*/

config.json

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+{
+  "_name_or_path": "google/vit-base-patch16-224",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "Abuse",
+    "1": "Arrest",
+    "10": "Shooting",
+    "11": "Shoplifting",
+    "12": "Stealing",
+    "13": "Vandalism",
+    "2": "Arson",
+    "3": "Assault",
+    "4": "Burglary",
+    "5": "Explosion",
+    "6": "Fighting",
+    "7": "NormalVideos",
+    "8": "RoadAccidents",
+    "9": "Robbery"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Abuse": "0",
+    "Arrest": "1",
+    "Arson": "2",
+    "Assault": "3",
+    "Burglary": "4",
+    "Explosion": "5",
+    "Fighting": "6",
+    "NormalVideos": "7",
+    "RoadAccidents": "8",
+    "Robbery": "9",
+    "Shooting": "10",
+    "Shoplifting": "11",
+    "Stealing": "12",
+    "Vandalism": "13"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.21.1"
+}

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_resize": true,
+  "feature_extractor_type": "ViTFeatureExtractor",
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "size": 224
+}

pytorch_model.bin

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training_args.bin

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