Model save

README.md

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+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: custom
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# custom
+
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 64
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

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": "Faces",
+    "1": "Faces_easy",
+    "10": "beaver",
+    "100": "yin_yang",
+    "11": "binocular",
+    "12": "bonsai",
+    "13": "brain",
+    "14": "brontosaurus",
+    "15": "buddha",
+    "16": "butterfly",
+    "17": "camera",
+    "18": "cannon",
+    "19": "car_side",
+    "2": "Leopards",
+    "20": "ceiling_fan",
+    "21": "cellphone",
+    "22": "chair",
+    "23": "chandelier",
+    "24": "cougar_body",
+    "25": "cougar_face",
+    "26": "crab",
+    "27": "crayfish",
+    "28": "crocodile",
+    "29": "crocodile_head",
+    "3": "Motorbikes",
+    "30": "cup",
+    "31": "dalmatian",
+    "32": "dollar_bill",
+    "33": "dolphin",
+    "34": "dragonfly",
+    "35": "electric_guitar",
+    "36": "elephant",
+    "37": "emu",
+    "38": "euphonium",
+    "39": "ewer",
+    "4": "accordion",
+    "40": "ferry",
+    "41": "flamingo",
+    "42": "flamingo_head",
+    "43": "garfield",
+    "44": "gerenuk",
+    "45": "gramophone",
+    "46": "grand_piano",
+    "47": "hawksbill",
+    "48": "headphone",
+    "49": "hedgehog",
+    "5": "airplanes",
+    "50": "helicopter",
+    "51": "ibis",
+    "52": "inline_skate",
+    "53": "joshua_tree",
+    "54": "kangaroo",
+    "55": "ketch",
+    "56": "lamp",
+    "57": "laptop",
+    "58": "llama",
+    "59": "lobster",
+    "6": "anchor",
+    "60": "lotus",
+    "61": "mandolin",
+    "62": "mayfly",
+    "63": "menorah",
+    "64": "metronome",
+    "65": "minaret",
+    "66": "nautilus",
+    "67": "octopus",
+    "68": "okapi",
+    "69": "pagoda",
+    "7": "ant",
+    "70": "panda",
+    "71": "pigeon",
+    "72": "pizza",
+    "73": "platypus",
+    "74": "pyramid",
+    "75": "revolver",
+    "76": "rhino",
+    "77": "rooster",
+    "78": "saxophone",
+    "79": "schooner",
+    "8": "barrel",
+    "80": "scissors",
+    "81": "scorpion",
+    "82": "sea_horse",
+    "83": "snoopy",
+    "84": "soccer_ball",
+    "85": "stapler",
+    "86": "starfish",
+    "87": "stegosaurus",
+    "88": "stop_sign",
+    "89": "strawberry",
+    "9": "bass",
+    "90": "sunflower",
+    "91": "tick",
+    "92": "trilobite",
+    "93": "umbrella",
+    "94": "watch",
+    "95": "water_lilly",
+    "96": "wheelchair",
+    "97": "wild_cat",
+    "98": "windsor_chair",
+    "99": "wrench"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "Faces": "0",
+    "Faces_easy": "1",
+    "Leopards": "2",
+    "Motorbikes": "3",
+    "accordion": "4",
+    "airplanes": "5",
+    "anchor": "6",
+    "ant": "7",
+    "barrel": "8",
+    "bass": "9",
+    "beaver": "10",
+    "binocular": "11",
+    "bonsai": "12",
+    "brain": "13",
+    "brontosaurus": "14",
+    "buddha": "15",
+    "butterfly": "16",
+    "camera": "17",
+    "cannon": "18",
+    "car_side": "19",
+    "ceiling_fan": "20",
+    "cellphone": "21",
+    "chair": "22",
+    "chandelier": "23",
+    "cougar_body": "24",
+    "cougar_face": "25",
+    "crab": "26",
+    "crayfish": "27",
+    "crocodile": "28",
+    "crocodile_head": "29",
+    "cup": "30",
+    "dalmatian": "31",
+    "dollar_bill": "32",
+    "dolphin": "33",
+    "dragonfly": "34",
+    "electric_guitar": "35",
+    "elephant": "36",
+    "emu": "37",
+    "euphonium": "38",
+    "ewer": "39",
+    "ferry": "40",
+    "flamingo": "41",
+    "flamingo_head": "42",
+    "garfield": "43",
+    "gerenuk": "44",
+    "gramophone": "45",
+    "grand_piano": "46",
+    "hawksbill": "47",
+    "headphone": "48",
+    "hedgehog": "49",
+    "helicopter": "50",
+    "ibis": "51",
+    "inline_skate": "52",
+    "joshua_tree": "53",
+    "kangaroo": "54",
+    "ketch": "55",
+    "lamp": "56",
+    "laptop": "57",
+    "llama": "58",
+    "lobster": "59",
+    "lotus": "60",
+    "mandolin": "61",
+    "mayfly": "62",
+    "menorah": "63",
+    "metronome": "64",
+    "minaret": "65",
+    "nautilus": "66",
+    "octopus": "67",
+    "okapi": "68",
+    "pagoda": "69",
+    "panda": "70",
+    "pigeon": "71",
+    "pizza": "72",
+    "platypus": "73",
+    "pyramid": "74",
+    "revolver": "75",
+    "rhino": "76",
+    "rooster": "77",
+    "saxophone": "78",
+    "schooner": "79",
+    "scissors": "80",
+    "scorpion": "81",
+    "sea_horse": "82",
+    "snoopy": "83",
+    "soccer_ball": "84",
+    "stapler": "85",
+    "starfish": "86",
+    "stegosaurus": "87",
+    "stop_sign": "88",
+    "strawberry": "89",
+    "sunflower": "90",
+    "tick": "91",
+    "trilobite": "92",
+    "umbrella": "93",
+    "watch": "94",
+    "water_lilly": "95",
+    "wheelchair": "96",
+    "wild_cat": "97",
+    "windsor_chair": "98",
+    "wrench": "99",
+    "yin_yang": "100"
+  },
+  "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": "4.35.0"
+}

model.safetensors

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preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

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training_args.bin

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